{"pageNumber":"192","pageRowStart":"4775","pageSize":"25","recordCount":165296,"records":[{"id":70251681,"text":"70251681 - 2024 - Resource-driven pattern formation in consumer-resource systems with asymmetric dispersal on a plane","interactions":[],"lastModifiedDate":"2024-02-23T13:07:52.231971","indexId":"70251681","displayToPublicDate":"2024-01-28T07:07:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5826,"text":"SIAM Journal on Applied Mathematics","active":true,"publicationSubtype":{"id":10}},"title":"Resource-driven pattern formation in consumer-resource systems with asymmetric dispersal on a plane","docAbstract":"<div>This paper considers resource-driven pattern formation in consumer-resource systems. Here, a planar pattern consists of many big patches, and a big patch can be regarded as combination of many patches on the plane. The consumer moves between patches asymmetrically, while the asymmetry is driven by the resource abundance. Based on experimental models with linearly-linked patches, we propose a planarly-linked-patch model with asymmetric dispersal. Using dynamical systems theory, we show global stability of equilibria in the model, and demonstrate how the resource-driven dispersal forms patterns. It is shown that appropriate asymmetry in dispersal would make the consumer persist in the system, even in sink patches. The asymmetry could also make the consumer’s total population abundance larger than that without dispersal. However, inappropriate asymmetry would make the consumer go into extinction, even in source patches. Dispersal rates are also shown to play a role in the persistence and abundance increase. Our results are consistent with experimental observations and provide new insights. Numerical simulations by the model reproduce various vegetation patterns in the real world. This work has potential applications in spatial pattern formation in biological research.</div>","language":"English","publisher":"Society for Industrial and Applied Mathematics","doi":"10.1137/22M1506006","usgsCitation":"Song, W., Wang, S., Wang, Y., and DeAngelis, D., 2024, Resource-driven pattern formation in consumer-resource systems with asymmetric dispersal on a plane: SIAM Journal on Applied Mathematics, https://doi.org/10.1137/22M1506006.","ipdsId":"IP-155567","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":425934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-10-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Weiting","contributorId":334318,"corporation":false,"usgs":false,"family":"Song","given":"Weiting","email":"","affiliations":[{"id":56683,"text":"Sun Yat-sen University, China","active":true,"usgs":false}],"preferred":false,"id":895291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Shikun","contributorId":334319,"corporation":false,"usgs":false,"family":"Wang","given":"Shikun","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":895292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Yuanshi","contributorId":207814,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanshi","email":"","affiliations":[{"id":37637,"text":"School of Mathematics and Computational Science Sun Yat-sen University","active":true,"usgs":false}],"preferred":false,"id":895293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":895294,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252273,"text":"70252273 - 2024 - Ratingcurve: A Python package for fitting streamflow rating curves","interactions":[],"lastModifiedDate":"2024-03-22T11:39:32.825833","indexId":"70252273","displayToPublicDate":"2024-01-28T06:38:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10778,"text":"Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ratingcurve: A Python package for fitting streamflow rating curves","docAbstract":"<div class=\"html-p\">Streamflow is one of the most important variables in hydrology, but it is difficult to measure continuously. As a result, nearly all streamflow time series are estimated from rating curves that define a mathematical relationship between streamflow and some easy-to-measure proxy like water surface elevation (stage). Despite the existence of automated methods, most rating curves are still fit manually, which can be time-consuming and subjective. Although several automated methods exist, they vary greatly in performance because of the non-convex nature of the problem. In this work, we develop a parameterization of the segmented power law that works reliably with minimal data, which could serve operationally or as a benchmark for evaluating other methods. The model, along with test data and tutorials, is available as an open-source Python package called<span>&nbsp;</span><tt>ratingcurve</tt>. The implementation uses a modern probabilistic machine-learning framework, which is relatively easy to modify so that others can improve upon it.</div>","language":"English","publisher":"MDPI","doi":"10.3390/hydrology11020014","usgsCitation":"Hodson, T.O., Doore, K.J., Kenney, T.A., Over, T.M., and Yeheyis, M., 2024, Ratingcurve: A Python package for fitting streamflow rating curves: Hydrology, v. 11, no. 2, 14, 9 p., https://doi.org/10.3390/hydrology11020014.","productDescription":"14, 9 p.","ipdsId":"IP-151914","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/hydrology11020014","text":"Publisher Index Page"},{"id":426883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doore, Keith James 0000-0001-5035-4016","orcid":"https://orcid.org/0000-0001-5035-4016","contributorId":334963,"corporation":false,"usgs":true,"family":"Doore","given":"Keith","email":"","middleInitial":"James","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenney, Terry A. 0000-0003-4477-7295 tkenney@usgs.gov","orcid":"https://orcid.org/0000-0003-4477-7295","contributorId":447,"corporation":false,"usgs":true,"family":"Kenney","given":"Terry","email":"tkenney@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":897096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeheyis, Muluken","contributorId":334962,"corporation":false,"usgs":false,"family":"Yeheyis","given":"Muluken","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":897098,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252908,"text":"70252908 - 2024 - Sedimentary processes and instability on the Mississippi River Delta Front near the shipwreck of the SS Virginia","interactions":[],"lastModifiedDate":"2024-04-11T11:55:24.225317","indexId":"70252908","displayToPublicDate":"2024-01-27T06:50:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentary processes and instability on the Mississippi River Delta Front near the shipwreck of the SS Virginia","docAbstract":"<div class=\"html-p\">Sediment cores were collected from a mudflow lobe (80 m water depth) offshore of the Mississippi River’s Southwest Pass in 2017 to better understand the sedimentology near the lobe entraining the SS Virginia shipwreck (sunk by a German U-boat in 1942) and surrounding Mississippi River delta front. Core analyses included<span>&nbsp;</span><sup>210</sup>Pb/<sup>137</sup>Cs geochronology, granulometry, and X-radiography. Sediment accumulation rates (SAR) calculated from excess<span>&nbsp;</span><sup>210</sup>Pb activity in multicores are 0.22–0.29 cm/y at seabed depths less than 20 cm and 0.29–0.51 cm/y at depths greater than 20 cm. Accumulation rates for<span>&nbsp;</span><sup>137</sup>Cs have been ~0.15 to ~0.37 cm/y since 1954 and 1963, respectively. Sediment accumulation rates from<span>&nbsp;</span><sup>210</sup>Pb,<span>&nbsp;</span><sup>137</sup>Cs geochronology and indicators of relative sedimentation and bioturbation from X-radiographs suggest that rates of sediment accumulation near the Virginia have declined since the mid-20th century. This may be explained by the multi-decade downslope mass transport of the mudflow lobe in which the shipwreck is embedded and decreases in sediment supply delivered offshore from the Mississippi river. Mass transport calculations of the Virginia lobe derived from core properties and published lobe advection rates suggest downslope mass transport is far higher than sediment resupply from the Mississippi river, consistent with recent studies of delta retreat.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/w16030421","usgsCitation":"Figueredo, N., Bentley, S., Chaytor, J., Xu, K., Jafari, N., Georgiou, I., D'amour, M., Duxbury, J., Obelcz, J., and Maloney, J., 2024, Sedimentary processes and instability on the Mississippi River Delta Front near the shipwreck of the SS Virginia: Water, v. 16, no. 3, 421, 18 p., https://doi.org/10.3390/w16030421.","productDescription":"421, 18 p.","ipdsId":"IP-160885","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16030421","text":"Publisher Index Page"},{"id":427695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.96094307403322,\n              29.67381788073527\n            ],\n            [\n              -89.96094307403322,\n              28.738847186009693\n            ],\n            [\n              -88.72498115997104,\n              28.738847186009693\n            ],\n            [\n              -88.72498115997104,\n              29.67381788073527\n            ],\n            [\n              -89.96094307403322,\n              29.67381788073527\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Figueredo, Nathan","contributorId":335536,"corporation":false,"usgs":false,"family":"Figueredo","given":"Nathan","email":"","affiliations":[{"id":80426,"text":"LSU Department of Geology and Geophysics and LSU Coastal Studies Institute","active":true,"usgs":false}],"preferred":false,"id":898628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bentley, Samuel J.","contributorId":150402,"corporation":false,"usgs":false,"family":"Bentley","given":"Samuel J.","affiliations":[],"preferred":false,"id":898629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":898630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Xu, Kehui","contributorId":223696,"corporation":false,"usgs":false,"family":"Xu","given":"Kehui","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":898631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":898632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Georgiou, Iaonnis","contributorId":335537,"corporation":false,"usgs":false,"family":"Georgiou","given":"Iaonnis","email":"","affiliations":[{"id":16216,"text":"Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":898633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"D'amour, Melanie","contributorId":335538,"corporation":false,"usgs":false,"family":"D'amour","given":"Melanie","affiliations":[{"id":25296,"text":"BOEM","active":true,"usgs":false}],"preferred":false,"id":898634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duxbury, Jeffrey","contributorId":335539,"corporation":false,"usgs":false,"family":"Duxbury","given":"Jeffrey","email":"","affiliations":[{"id":80426,"text":"LSU Department of Geology and Geophysics and LSU Coastal Studies Institute","active":true,"usgs":false}],"preferred":false,"id":898635,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Obelcz, Jeffrey B.","contributorId":263465,"corporation":false,"usgs":false,"family":"Obelcz","given":"Jeffrey B.","affiliations":[{"id":53993,"text":"U.S. Naval Research Lab, Stennis Space Center","active":true,"usgs":false}],"preferred":false,"id":898636,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maloney, Jillian","contributorId":304141,"corporation":false,"usgs":false,"family":"Maloney","given":"Jillian","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":898637,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70251242,"text":"70251242 - 2024 - Validation of a molecular sex marker in three sturgeons from eastern North America","interactions":[],"lastModifiedDate":"2024-05-20T15:18:16.234788","indexId":"70251242","displayToPublicDate":"2024-01-27T06:35:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Validation of a molecular sex marker in three sturgeons from eastern North America","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Despite the importance of sex-specific information for sturgeon conservation and management, sex identification has been a major challenge outside of mature adults on spawning grounds. Recent work identified a sex-specific locus (<i>AllWSex2</i>) that appears to be broadly conserved across many Acipenserids, but the assay was not validated for all species within the family. We tested the<span>&nbsp;</span><i>AllWSex2</i><span>&nbsp;</span>marker in three sturgeon taxa (shortnose sturgeon<span>&nbsp;</span><i>Acipenser brevirostrum</i>, Gulf sturgeon<span>&nbsp;</span><i>A. oxyrhinchus desotoi</i>, and Atlantic sturgeon<span>&nbsp;</span><i>A. oxyrhinchus oxyrhinchus</i>) from the Atlantic and Gulf of Mexico Coasts of North America to validate its use for sex identification. Our results indicate<span>&nbsp;</span><i>AllWSex2</i><span>&nbsp;</span>is conserved in all three taxa, presenting a new opportunity to derive sex-specific information from tissue samples, which are routinely collected from these taxa. We found high concordance (range: 97–100%) between genotypic and phenotypic/histological methods, suggesting the assay is broadly effective. However, the small amount of discordance between the methods (&lt; 3%) suggests further refinement may be possible.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s12686-024-01346-6","usgsCitation":"Sard, N.M., Krieser, B.R., Pendleton, R., Lubinski, B.A., Johnson, R.L., Fox, D.A., Van Eenennaam, J.P., Kahn, J.E., Hager, C.H., Higgs, A.L., and Kazyak, D.C., 2024, Validation of a molecular sex marker in three sturgeons from eastern North America: Journal of Applied Ichthyology, v. 16, p. 173-177, https://doi.org/10.1007/s12686-024-01346-6.","productDescription":"5 p.","startPage":"173","endPage":"177","ipdsId":"IP-143319","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":467034,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/56761","text":"External Repository"},{"id":425139,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2024-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Sard, Nicholas M","contributorId":289872,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas","email":"","middleInitial":"M","affiliations":[{"id":48660,"text":"SUNY Oswego","active":true,"usgs":false}],"preferred":false,"id":893622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krieser, Brian R","contributorId":333703,"corporation":false,"usgs":false,"family":"Krieser","given":"Brian","email":"","middleInitial":"R","affiliations":[{"id":56690,"text":"usm","active":true,"usgs":false}],"preferred":false,"id":893623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pendleton, Richard M.","contributorId":273135,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard M.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":893624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":893661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Robin L. 0000-0003-4314-3792 rjohnson1@usgs.gov","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":224717,"corporation":false,"usgs":true,"family":"Johnson","given":"Robin","email":"rjohnson1@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":893625,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Dewayne A.","contributorId":117052,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","email":"","middleInitial":"A.","affiliations":[{"id":12970,"text":"Department of Agriculture and Natural Resources, Delaware State University","active":true,"usgs":false}],"preferred":false,"id":893627,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Eenennaam, Joel P","contributorId":333704,"corporation":false,"usgs":false,"family":"Van Eenennaam","given":"Joel","email":"","middleInitial":"P","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":893628,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kahn, Jason E","contributorId":263430,"corporation":false,"usgs":false,"family":"Kahn","given":"Jason","email":"","middleInitial":"E","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":893629,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hager, Chris H","contributorId":263429,"corporation":false,"usgs":false,"family":"Hager","given":"Chris","email":"","middleInitial":"H","affiliations":[{"id":53979,"text":"Chesapeake Scientific","active":true,"usgs":false}],"preferred":false,"id":893630,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Higgs, Amanda L.","contributorId":273137,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","email":"","middleInitial":"L.","affiliations":[{"id":56428,"text":"New York Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":893631,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":893632,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70255673,"text":"70255673 - 2024 - Current and future potential ecosystem services of the Nisqually River Delta: An assessment approach for Puget Sound estuaries and USFWS coastal refuges","interactions":[],"lastModifiedDate":"2026-04-07T16:05:55.634487","indexId":"70255673","displayToPublicDate":"2024-01-26T11:01:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":20198,"text":"Final Project Report","active":true,"publicationSubtype":{"id":1}},"title":"Current and future potential ecosystem services of the Nisqually River Delta: An assessment approach for Puget Sound estuaries and USFWS coastal refuges","docAbstract":"The Nisqually River Delta, located in South Puget Sound, contains a rich mosaic of different coastal habitat types. The goal of this project was to quantify ecosystem services — benefits that wildlife or ecosystems provide to people — that are priorities for the Billy Frank Jr. Nisqually National Wildlife Refuge, the Nisqually Indian Tribe, and the surrounding communities. We modeled how change in these habitats from sea level rise (SLR) or management activities like restoration could affect ecosystem services in the future. We focused on changes to three main ecosystem services: soil carbon accumulation, birdwatching visitation, and juvenile Chinook salmon growth rates, which served as a proxy for fishery production. A habitat and carbon model projected that after 100 years, most high salt marsh would remain with < 1m SLR, but a substantial area would convert to low salt marsh and mudflat with ≥ 1m SLR. Total carbon accumulation would plateau or decline with ≥ 1m SLR, yet economic value of carbon accumulation would continue to rise over time, suggesting that the value of this ecosystem service is resilient to SLR. Birdwatching visitation was greatest in winter months and was positively related to area of forested wetland, emergent wetland, aquatic vegetation bed (e.g., eelgrass) and mudflat and open access (areas freely accessible to the public). Increases in forested wetland may lead to greater increases in visitation compared to other habitat types.  All three ecosystem services increased with increases in forested wetland and emergent wetland, and tradeoffs among services occurred with increases in aquatic vegetation bed and mudflat. While both prey-rich salt marshes and eelgrass meadows facilitate salmon growth, loss of salt marsh led to declines in juvenile salmon weight. In conversation with USFWS managers, we identified practical ways to incorporate ecosystem services into adaptive management frameworks that support climate adaptation decision making. Our study illustrated how accounting for ecosystem services helps managers make decisions that greatly benefit wildlife and people, communicate the societal value of decisions, and increase local engagement and participation.","language":"English","publisher":"Climate Adaptation Science Centers","usgsCitation":"Byrd, K.B., Woo, I., and Pindilli, E., 2024, Current and future potential ecosystem services of the Nisqually River Delta: An assessment approach for Puget Sound estuaries and USFWS coastal refuges: Final Project Report, 13 p.","productDescription":"13 p.","ipdsId":"IP-163012","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":430585,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/4f8c64d2e4b0546c0c397b46/5f04d07782ce21d4c3f89d1c"},{"id":502239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":905141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0001-6489-0100","orcid":"https://orcid.org/0000-0001-6489-0100","contributorId":334895,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":958820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251179,"text":"sir20235064J - 2024 - Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70251179,"text":"sir20235064J - 2024 - Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064J","publicationYear":"2024","noYear":false,"chapter":"J","displayTitle":"Peak Streamflow Trends in Wisconsin and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2024-06-14T12:18:22.588242","indexId":"sir20235064J","displayToPublicDate":"2024-01-25T15:13:33","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"J","displayTitle":"Peak Streamflow Trends in Wisconsin and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020","docAbstract":"<p>This study characterizes hydroclimatic variability and change in peak streamflow and daily streamflow in Wisconsin from water years 1921 through 2020. Nonstationarity in peak streamflow in Wisconsin can include monotonic trends, change points, and autocorrelation. Spatial patterns of nonstationarity in peak streamflow, daily streamflow, and monthly precipitation, temperature, and snowfall were examined using four temporal periods. Upward trends in peak streamflow and daily streamflow were detected across the State, from around 1990 to 2020 and were likely predominantly driven by concurrent increases in precipitation and temperatures during this time. Earlier decreases in peak streamflow between the 1920s to the 1980s in the southern parts of the State were likely affected by nonclimate-related factors such as urbanization, water use, and land-use changes associated with agriculture.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064J","collaboration":"Prepared in cooperation with the Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Levin, S.B., 2024, Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020, chap. J <i>of</i> Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 49 p., https://doi.org/10.3133/sir20235064J.","productDescription":"Report: ix, 49 p.; Data Release; Dataset","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144130","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":424964,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1921–2020"},{"id":424963,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/j/images/"},{"id":424966,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064J/full"},{"id":424965,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":424962,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/j/sir20235064j.XML"},{"id":424961,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/j/sir20235064j.pdf","text":"Report","size":"16.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5064–J"},{"id":424960,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/j/coverthb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-90.403306,47.026693],[-90.411972,47.014958],[-90.425351,47.007526],[-90.464079,46.994636],[-90.465465,47.002593],[-90.457688,47.012484],[-90.4553,47.02375],[-90.455502,47.051331],[-90.449572,47.064965],[-90.438734,47.072557],[-90.417272,47.07757],[-90.395367,47.077175],[-90.393342,47.066204],[-90.403306,47.026693]]],[[[-90.730883,46.873096],[-90.677989,46.897527],[-90.667776,46.890037],[-90.675239,46.881029],[-90.718547,46.864531],[-90.745356,46.83566],[-90.756052,46.830595],[-90.760991,46.838277],[-90.749816,46.861806],[-90.730883,46.873096]]],[[[-90.764857,46.946524],[-90.741417,46.9636],[-90.71511,46.957332],[-90.694487,46.93671],[-90.689302,46.918563],[-90.737107,46.914712],[-90.764857,46.946524]]],[[[-90.568938,46.847391],[-90.58505,46.839789],[-90.613569,46.837958],[-90.673838,46.819684],[-90.683356,46.813275],[-90.685753,46.805003],[-90.652916,46.797755],[-90.65892,46.7885],[-90.696465,46.78204],[-90.716456,46.785418],[-90.7625,46.755547],[-90.787751,46.753301],[-90.783086,46.772939],[-90.790965,46.781373],[-90.790231,46.786103],[-90.733231,46.800183],[-90.720932,46.815897],[-90.656946,46.843476],[-90.622048,46.872872],[-90.602619,46.872715],[-90.568938,46.847391]]],[[[-90.572383,46.958835],[-90.528182,46.968396],[-90.508157,46.956836],[-90.524018,46.935714],[-90.539947,46.92785],[-90.543852,46.918289],[-90.549104,46.915461],[-90.569169,46.920309],[-90.637124,46.906724],[-90.64412,46.908373],[-90.654796,46.919249],[-90.634507,46.942944],[-90.572383,46.958835]]],[[[-87.335299,45.211327],[-87.331962,45.199251],[-87.33622,45.173174],[-87.327284,45.157363],[-87.376777,45.177298],[-87.375403,45.199296],[-87.335299,45.211327]]],[[[-90.962901,46.962028],[-90.980316,46.971578],[-90.98222,46.985417],[-90.949383,46.991208],[-90.939866,47.001321],[-90.928563,47.000726],[-90.923764,46.987928],[-90.932132,46.962655],[-90.962901,46.962028]]],[[[-90.757147,47.03372],[-90.688544,47.043347],[-90.643623,47.041177],[-90.608824,47.007558],[-90.560936,47.037013],[-90.544875,47.017383],[-90.552867,46.999686],[-90.609715,46.991208],[-90.634105,46.970983],[-90.671581,46.948973],[-90.712032,46.98526],[-90.767985,47.002327],[-90.776921,47.024324],[-90.757147,47.03372]]],[[[-87.405658,44.860098],[-87.384821,44.865532],[-87.385396,44.889964],[-87.406199,44.90449],[-87.393752,44.933751],[-87.374805,44.956631],[-87.360288,44.987643],[-87.322117,45.034201],[-87.264877,45.081361],[-87.257449,45.121644],[-87.240813,45.137559],[-87.242924,45.149377],[-87.238426,45.166492],[-87.224065,45.174551],[-87.21437,45.165735],[-87.195876,45.163201],[-87.17517,45.173],[-87.163169,45.185331],[-87.13303,45.192843],[-87.119972,45.191103],[-87.122708,45.221786],[-87.109541,45.255397],[-87.078316,45.265723],[-87.071035,45.280355],[-87.057627,45.292838],[-87.0517,45.285888],[-87.043895,45.284767],[-87.017036,45.299254],[-86.994112,45.298061],[-86.97778,45.290684],[-86.970355,45.278455],[-86.984938,45.259036],[-86.983066,45.250764],[-86.973287,45.246381],[-86.985973,45.215872],[-87.002806,45.211773],[-87.00754,45.222127],[-87.032521,45.222274],[-87.040909,45.211535],[-87.045242,45.158798],[-87.030225,45.147382],[-87.03292,45.141963],[-87.045748,45.134987],[-87.054282,45.120074],[-87.049346,45.110122],[-87.048213,45.089124],[-87.057415,45.087472],[-87.064864,45.078427],[-87.079552,45.070783],[-87.081866,45.059103],[-87.090849,45.055465],[-87.121156,45.058311],[-87.139384,45.012565],[-87.163477,45.004913],[-87.189134,44.969078],[-87.188399,44.94856],[-87.17524,44.939753],[-87.1717,44.931476],[-87.204238,44.916819],[-87.215808,44.906744],[-87.217171,44.898013],[-87.206285,44.885928],[-87.204815,44.877199],[-87.267061,44.847025],[-87.282561,44.814729],[-87.304824,44.804603],[-87.313363,44.794237],[-87.320397,44.784963],[-87.319903,44.769672],[-87.353789,44.701915],[-87.401629,44.631191],[-87.437751,44.604559],[-87.467089,44.553557],[-87.483696,44.511354],[-87.490024,44.477224],[-87.498662,44.460686],[-87.506362,44.423804],[-87.517965,44.394356],[-87.517597,44.375696],[-87.533583,44.351111],[-87.545382,44.321385],[-87.541382,44.294018],[-87.508457,44.229755],[-87.507419,44.210803],[-87.512903,44.192808],[-87.51966,44.17987],[-87.53994,44.15969],[-87.563181,44.144195],[-87.603572,44.13039],[-87.6458,44.105222],[-87.654935,44.082552],[-87.656062,44.051919],[-87.683361,44.020139],[-87.695053,43.990715],[-87.69892,43.965936],[-87.71817,43.939498],[-87.735436,43.882219],[-87.728698,43.852524],[-87.726408,43.810454],[-87.700251,43.76735],[-87.702985,43.749695],[-87.709885,43.735795],[-87.702685,43.687596],[-87.789105,43.564844],[-87.797608,43.52731],[-87.793239,43.492783],[-87.807799,43.461136],[-87.855608,43.405441],[-87.872504,43.380178],[-87.882392,43.352099],[-87.889207,43.307652],[-87.901847,43.284117],[-87.911787,43.250406],[-87.896286,43.197108],[-87.881085,43.170609],[-87.900285,43.13731],[-87.900496,43.126],[-87.893185,43.114011],[-87.876084,43.099011],[-87.866487,43.074419],[-87.870184,43.064412],[-87.894813,43.042497],[-87.898184,43.030689],[-87.896157,43.017486],[-87.887789,43.000715],[-87.857182,42.978015],[-87.845181,42.962015],[-87.842786,42.944865],[-87.847745,42.889595],[-87.824,42.836649],[-87.766675,42.784896],[-87.781949,42.74857],[-87.778824,42.728432],[-87.783489,42.705164],[-87.802377,42.676651],[-87.814674,42.64402],[-87.819407,42.617327],[-87.819374,42.60662],[-87.810873,42.58732],[-87.812273,42.52982],[-87.800477,42.49192],[-88.115285,42.496219],[-88.786681,42.491983],[-89.690088,42.505191],[-90.640927,42.508302],[-90.636727,42.518702],[-90.645627,42.5441],[-90.654127,42.5499],[-90.661527,42.567999],[-90.685487,42.589614],[-90.693999,42.614509],[-90.709204,42.636078],[-90.769495,42.651443],[-90.88743,42.67247],[-90.921155,42.685406],[-90.949213,42.685573],[-90.977735,42.696816],[-91.000128,42.716189],[-91.026786,42.724228],[-91.035418,42.73734],[-91.053733,42.738238],[-91.056297,42.747341],[-91.065783,42.753387],[-91.060261,42.761847],[-91.069549,42.769628],[-91.078097,42.806526],[-91.078665,42.827678],[-91.09406,42.830813],[-91.091402,42.84986],[-91.097656,42.859871],[-91.100565,42.883078],[-91.115512,42.894672],[-91.14556,42.90798],[-91.144315,42.926592],[-91.149784,42.940244],[-91.14655,42.963345],[-91.156562,42.978226],[-91.15749,42.991475],[-91.174692,43.038713],[-91.179457,43.067427],[-91.175193,43.103771],[-91.177932,43.128875],[-91.175253,43.134665],[-91.1562,43.142945],[-91.1462,43.152405],[-91.12217,43.197255],[-91.066398,43.239293],[-91.059684,43.248566],[-91.058644,43.257679],[-91.072649,43.262129],[-91.07371,43.274746],[-91.107237,43.313645],[-91.137343,43.329757],[-91.181115,43.345926],[-91.201847,43.349103],[-91.21477,43.365874],[-91.19767,43.395334],[-91.203144,43.419805],[-91.22875,43.445537],[-91.233367,43.455168],[-91.216035,43.481142],[-91.217353,43.512474],[-91.232941,43.523967],[-91.243183,43.540309],[-91.24382,43.54913],[-91.232812,43.564842],[-91.231865,43.581822],[-91.268748,43.615348],[-91.268457,43.627352],[-91.262397,43.64176],[-91.270767,43.65308],[-91.273252,43.666623],[-91.268455,43.709824],[-91.255932,43.729849],[-91.255431,43.744876],[-91.243955,43.773046],[-91.262436,43.792166],[-91.277695,43.837741],[-91.284138,43.847065],[-91.310991,43.867381],[-91.320605,43.888491],[-91.338141,43.897664],[-91.346271,43.910074],[-91.356741,43.916564],[-91.366642,43.937463],[-91.385785,43.954239],[-91.406011,43.963929],[-91.43738,43.999962],[-91.463515,44.009041],[-91.478498,44.00803],[-91.507121,44.01898],[-91.580019,44.026925],[-91.59207,44.031372],[-91.610487,44.04931],[-91.638115,44.063285],[-91.647873,44.064109],[-91.667006,44.086964],[-91.68153,44.0974],[-91.707491,44.103906],[-91.710597,44.12048],[-91.721552,44.130342],[-91.751747,44.134786],[-91.774486,44.147539],[-91.808064,44.159262],[-91.817302,44.164235],[-91.829167,44.17835],[-91.875158,44.200575],[-91.877429,44.212921],[-91.892698,44.231105],[-91.88704,44.251772],[-91.896008,44.262871],[-91.895652,44.273008],[-91.924613,44.291815],[-91.913534,44.311392],[-91.918625,44.322671],[-91.92559,44.333548],[-91.941311,44.340978],[-91.9636,44.362112],[-92.038147,44.388731],[-92.056486,44.402729],[-92.078605,44.404869],[-92.111085,44.413948],[-92.124513,44.422115],[-92.195378,44.433792],[-92.232472,44.445434],[-92.291005,44.485464],[-92.302215,44.500298],[-92.302466,44.516487],[-92.314071,44.538014],[-92.336114,44.554004],[-92.361518,44.558935],[-92.399281,44.558292],[-92.431101,44.565786],[-92.455105,44.561886],[-92.481001,44.568276],[-92.493808,44.566063],[-92.518358,44.575183],[-92.54806,44.567792],[-92.55151,44.571607],[-92.549777,44.58113],[-92.569434,44.603539],[-92.577148,44.605054],[-92.584711,44.599861],[-92.601516,44.612052],[-92.621456,44.615017],[-92.619779,44.634195],[-92.632105,44.649027],[-92.660988,44.660884],[-92.700948,44.693751],[-92.737259,44.717155],[-92.787906,44.737432],[-92.807317,44.750364],[-92.805287,44.768361],[-92.785206,44.792303],[-92.78043,44.812589],[-92.766102,44.834966],[-92.76909,44.861997],[-92.764133,44.875905],[-92.773946,44.889997],[-92.774571,44.898084],[-92.758701,44.908979],[-92.750645,44.937299],[-92.754603,44.955767],[-92.769445,44.97215],[-92.771231,45.001378],[-92.76206,45.02432],[-92.770362,45.033803],[-92.793282,45.047178],[-92.803079,45.060978],[-92.800851,45.069477],[-92.791528,45.079647],[-92.746749,45.107051],[-92.739528,45.116515],[-92.745694,45.123112],[-92.757707,45.155466],[-92.752542,45.171772],[-92.764872,45.182812],[-92.767408,45.190166],[-92.763908,45.204866],[-92.751708,45.218666],[-92.760249,45.2496],[-92.751659,45.26591],[-92.760615,45.278827],[-92.761013,45.289028],[-92.737122,45.300459],[-92.709968,45.321302],[-92.698967,45.336374],[-92.703705,45.35633],[-92.679193,45.37271],[-92.669505,45.389111],[-92.650422,45.398507],[-92.646602,45.441635],[-92.652698,45.454527],[-92.680234,45.464344],[-92.702224,45.493046],[-92.726677,45.514462],[-92.726082,45.541112],[-92.770223,45.566939],[-92.785741,45.567888],[-92.823309,45.560934],[-92.871082,45.567581],[-92.883749,45.575483],[-92.886442,45.598679],[-92.882529,45.610216],[-92.888035,45.624959],[-92.887929,45.639006],[-92.875488,45.689014],[-92.870145,45.696757],[-92.869193,45.717568],[-92.809837,45.744172],[-92.784621,45.764196],[-92.776496,45.790014],[-92.757815,45.806574],[-92.765146,45.830183],[-92.739991,45.846283],[-92.734039,45.868108],[-92.712503,45.891705],[-92.676607,45.90637],[-92.676807,45.91093],[-92.659549,45.922937],[-92.639116,45.924555],[-92.640115,45.932478],[-92.636316,45.934634],[-92.614314,45.934529],[-92.60246,45.940815],[-92.551933,45.951651],[-92.549806,45.967986],[-92.527052,45.983245],[-92.469354,45.973811],[-92.46126,45.979427],[-92.464512,45.985038],[-92.453373,45.992913],[-92.442259,46.016177],[-92.428555,46.024241],[-92.410649,46.027259],[-92.372717,46.014198],[-92.35176,46.015685],[-92.344244,46.02743],[-92.343604,46.040917],[-92.332912,46.062697],[-92.294033,46.074377],[-92.292192,46.666042],[-92.287392,46.667342],[-92.286192,46.660342],[-92.274392,46.657441],[-92.270592,46.650741],[-92.256592,46.658741],[-92.242493,46.649241],[-92.228492,46.652941],[-92.216392,46.649841],[-92.207092,46.651941],[-92.202292,46.655041],[-92.204092,46.666941],[-92.176091,46.686341],[-92.183091,46.695241],[-92.198491,46.696141],[-92.205192,46.698341],[-92.205692,46.702541],[-92.189091,46.717541],[-92.167291,46.719941],[-92.146291,46.71594],[-92.141291,46.72524],[-92.14329,46.73464],[-92.13789,46.73954],[-92.108777,46.749105],[-92.08949,46.74924],[-92.03399,46.708939],[-92.020289,46.704039],[-92.007989,46.705039],[-91.961889,46.682539],[-91.942988,46.679939],[-91.886963,46.690211],[-91.820027,46.690176],[-91.790473,46.694624],[-91.74965,46.709129],[-91.646146,46.734575],[-91.590684,46.754331],[-91.511077,46.757453],[-91.489125,46.766997],[-91.44957,46.773252],[-91.411799,46.78964],[-91.369387,46.793745],[-91.33825,46.817704],[-91.315061,46.826729],[-91.256873,46.836833],[-91.226796,46.86361],[-91.207524,46.865835],[-91.200107,46.854017],[-91.178292,46.844259],[-91.168297,46.844727],[-91.140301,46.873105],[-91.133337,46.870341],[-91.134977,46.859023],[-91.107323,46.857469],[-91.096565,46.86153],[-91.090916,46.88267],[-91.080951,46.883609],[-91.069331,46.878772],[-91.052991,46.881325],[-91.03989,46.88923],[-91.034518,46.903053],[-91.019141,46.911502],[-90.995149,46.917577],[-90.968419,46.94391],[-90.92204,46.931372],[-90.914044,46.933346],[-90.908654,46.941221],[-90.880358,46.957661],[-90.855874,46.962232],[-90.838814,46.957728],[-90.786595,46.927019],[-90.75563,46.899247],[-90.751151,46.887863],[-90.77017,46.876296],[-90.798545,46.823922],[-90.825696,46.803858],[-90.835008,46.790366],[-90.854916,46.788952],[-90.863542,46.780565],[-90.859724,46.774433],[-90.862333,46.768135],[-90.885021,46.756341],[-90.870396,46.723293],[-90.853225,46.70028],[-90.853644,46.694464],[-90.870079,46.679449],[-90.914619,46.659054],[-90.924487,46.625417],[-90.93831,46.608768],[-90.951418,46.600774],[-90.942101,46.588573],[-90.906058,46.58343],[-90.873154,46.601223],[-90.794775,46.624941],[-90.770192,46.636127],[-90.755381,46.646225],[-90.756495,46.664591],[-90.74809,46.669817],[-90.73726,46.692267],[-90.627885,46.623839],[-90.558141,46.586384],[-90.538346,46.581182],[-90.505909,46.589614],[-90.437596,46.561492],[-90.418136,46.566094],[-90.39332,46.532615],[-90.369964,46.540549],[-90.350121,46.537337],[-90.344338,46.552087],[-90.331887,46.553278],[-90.326686,46.54615],[-90.320428,46.546287],[-90.310859,46.539365],[-90.316983,46.517319],[-90.285707,46.518846],[-90.277131,46.524487],[-90.272599,46.521127],[-90.274721,46.515416],[-90.270684,46.508237],[-90.263018,46.502777],[-90.231587,46.509842],[-90.230324,46.501732],[-90.216594,46.501759],[-90.204009,46.478175],[-90.188996,46.469015],[-90.193294,46.463143],[-90.180336,46.456746],[-90.17786,46.440548],[-90.166919,46.439851],[-90.158603,46.422656],[-90.157851,46.409291],[-90.144359,46.390255],[-90.13225,46.381249],[-90.133871,46.371828],[-90.116844,46.355153],[-90.12138,46.338131],[-89.09163,46.138505],[-88.85027,46.040274],[-88.837991,46.030176],[-88.811948,46.021609],[-88.79646,46.023605],[-88.80067,46.030036],[-88.796182,46.033712],[-88.779221,46.031869],[-88.783891,46.020934],[-88.779915,46.015436],[-88.765208,46.022086],[-88.756295,46.020173],[-88.746422,46.025798],[-88.730675,46.026535],[-88.721125,46.022013],[-88.718397,46.013284],[-88.704687,46.018154],[-88.679132,46.013538],[-88.661312,45.988819],[-88.6375,45.98496],[-88.616405,45.9877],[-88.611466,46.003332],[-88.60144,46.017599],[-88.59386,46.015132],[-88.589755,46.005602],[-88.565485,46.015708],[-88.550756,46.012896],[-88.541078,46.013763],[-88.533825,46.020915],[-88.514601,46.019926],[-88.507188,46.0183],[-88.498108,45.99636],[-88.492495,45.992157],[-88.476002,45.992826],[-88.470855,46.001004],[-88.458658,45.999391],[-88.450325,45.990181],[-88.439733,45.990456],[-88.416914,45.975323],[-88.388847,45.982675],[-88.380183,45.991654],[-88.330137,45.965951],[-88.330296,45.956625],[-88.326953,45.955071],[-88.316894,45.960969],[-88.292381,45.951115],[-88.250133,45.963147],[-88.246307,45.962983],[-88.242518,45.950363],[-88.23314,45.947405],[-88.201852,45.945173],[-88.202116,45.949836],[-88.191991,45.95274],[-88.170096,45.93947],[-88.146352,45.935314],[-88.121864,45.92075],[-88.104686,45.922121],[-88.096496,45.917273],[-88.095354,45.913895],[-88.105677,45.904387],[-88.101814,45.883504],[-88.095841,45.880042],[-88.083965,45.881186],[-88.073944,45.875593],[-88.075146,45.864832],[-88.081641,45.865087],[-88.13611,45.819029],[-88.129461,45.809288],[-88.105355,45.800104],[-88.103247,45.791361],[-88.072091,45.780261],[-88.050634,45.780972],[-88.040221,45.789236],[-87.991447,45.795393],[-87.98087,45.776977],[-87.989829,45.772945],[-87.96697,45.764021],[-87.963452,45.75822],[-87.905873,45.759364],[-87.896032,45.752285],[-87.875813,45.753888],[-87.864141,45.745697],[-87.86432,45.737139],[-87.85548,45.726943],[-87.805867,45.706841],[-87.809181,45.700337],[-87.782226,45.683053],[-87.780737,45.675458],[-87.823164,45.662732],[-87.824102,45.647138],[-87.810194,45.638732],[-87.79588,45.618846],[-87.780845,45.614599],[-87.777199,45.588499],[-87.787534,45.581376],[-87.790874,45.564096],[-87.806104,45.562863],[-87.829346,45.568776],[-87.833591,45.562529],[-87.80339,45.538272],[-87.802267,45.514233],[-87.792769,45.499967],[-87.812971,45.4661],[-87.861697,45.434473],[-87.860432,45.423504],[-87.849322,45.403872],[-87.859131,45.398967],[-87.859418,45.388227],[-87.875424,45.379373],[-87.871789,45.373557],[-87.884855,45.362792],[-87.888052,45.354697],[-87.881114,45.351278],[-87.86856,45.360537],[-87.860871,45.351192],[-87.850418,45.347492],[-87.848368,45.340676],[-87.832612,45.352249],[-87.790324,45.353444],[-87.783076,45.349725],[-87.754104,45.349442],[-87.751626,45.354169],[-87.738352,45.358243],[-87.718891,45.377462],[-87.693956,45.389893],[-87.675017,45.382454],[-87.674403,45.378065],[-87.657349,45.368752],[-87.656632,45.358617],[-87.648476,45.352243],[-87.648126,45.339396],[-87.662029,45.326434],[-87.663666,45.318257],[-87.687498,45.298055],[-87.698248,45.281512],[-87.69878,45.26942],[-87.709137,45.260341],[-87.711339,45.239965],[-87.724156,45.233236],[-87.721935,45.228444],[-87.726952,45.218949],[-87.726198,45.209391],[-87.741732,45.198201],[-87.736509,45.173389],[-87.683902,45.144135],[-87.675816,45.135059],[-87.678511,45.131204],[-87.672447,45.121294],[-87.661296,45.112566],[-87.661211,45.108279],[-87.631535,45.106224],[-87.59188,45.094689],[-87.587147,45.089495],[-87.587992,45.085271],[-87.601849,45.082297],[-87.610395,45.075617],[-87.625748,45.045157],[-87.624693,45.014176],[-87.630298,44.976865],[-87.661964,44.973035],[-87.696492,44.974233],[-87.766115,44.965351],[-87.817551,44.951986],[-87.837647,44.933091],[-87.844299,44.918524],[-87.827751,44.891229],[-87.832764,44.880939],[-87.852789,44.86486],[-87.865898,44.840988],[-87.878218,44.839016],[-87.899787,44.828051],[-87.941453,44.75608],[-87.964714,44.74357],[-87.983065,44.72073],[-87.990081,44.669791],[-88.002085,44.664035],[-88.009766,44.637081],[-87.998836,44.609523],[-88.001943,44.603909],[-88.012395,44.602438],[-88.027103,44.578992],[-88.039092,44.574324],[-88.042261,44.567344],[-88.005518,44.539216],[-87.970702,44.530292],[-87.943801,44.529693],[-87.929001,44.535993],[-87.901206,44.568887],[-87.899368,44.573043],[-87.903689,44.581317],[-87.901179,44.584545],[-87.867941,44.607606],[-87.809076,44.636189],[-87.77516,44.639281],[-87.756048,44.649117],[-87.748409,44.667122],[-87.71978,44.693246],[-87.720312,44.725073],[-87.610063,44.838384],[-87.581635,44.851638],[-87.550288,44.85129],[-87.530999,44.857437],[-87.515142,44.869596],[-87.502431,44.864619],[-87.478489,44.863572],[-87.437084,44.892718],[-87.421007,44.887869],[-87.419951,44.87594],[-87.405658,44.860098]]],[[[-86.880572,45.331467],[-86.895055,45.329035],[-86.899488,45.322588],[-86.896667,45.307275],[-86.899891,45.295185],[-86.925681,45.3242],[-86.95499,45.34128],[-86.956192,45.351179],[-86.946297,45.35869],[-86.95497,45.383194],[-86.943041,45.41525],[-86.934724,45.421123],[-86.928045,45.411273],[-86.917686,45.40789],[-86.892893,45.40898],[-86.877502,45.413981],[-86.862174,45.412151],[-86.853145,45.405547],[-86.830353,45.410852],[-86.828731,45.428461],[-86.810055,45.422619],[-86.805415,45.407324],[-86.824383,45.406135],[-86.841432,45.389601],[-86.853103,45.370861],[-86.863367,45.365],[-86.869031,45.333244],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Wisconsin\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/upper-midwest-water-science-center\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, WI 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area</li><li>Brief History of U.S. Geological Survey Peak-Streamflow Data Collection in Wisconsin</li><li>Brief History of Statistical Analysis of Peak Streamflow and Nonstationarity</li><li>Review of Research Relating to Climatic Variability and Change</li><li>Data</li><li>Methods</li><li>Results of Streamflow and Climate Analyses</li><li>Discussion and Implications for Flood-Frequency Analysis</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-01-25","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Levin, Sara B. 0000-0002-2448-3129","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":209947,"corporation":false,"usgs":true,"family":"Levin","given":"Sara B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893368,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","interactions":[{"subject":{"id":70251153,"text":"sir20235064A - 2024 - Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064A","publicationYear":"2024","noYear":false,"chapter":"A","displayTitle":"Introduction and Methods of Analysis for Peak Streamflow Trends and Their Relation to Changes in Climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","title":"Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1},{"subject":{"id":70251179,"text":"sir20235064J - 2024 - Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064J","publicationYear":"2024","noYear":false,"chapter":"J","displayTitle":"Peak Streamflow Trends in Wisconsin and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Wisconsin and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":2},{"subject":{"id":70252937,"text":"sir20235064F - 2024 - Peak streamflow trends in Missouri and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064F","publicationYear":"2024","noYear":false,"chapter":"F","displayTitle":"Peak Streamflow Trends in Missouri and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Missouri and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":3},{"subject":{"id":70254375,"text":"sir20235064D - 2024 - Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064D","publicationYear":"2024","noYear":false,"chapter":"D","displayTitle":"Peak Streamflow Trends in Michigan and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Michigan and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":4},{"subject":{"id":70255277,"text":"sir20235064B - 2024 - Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064B","publicationYear":"2024","noYear":false,"chapter":"B","displayTitle":"Peak Streamflow Trends in Illinois and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Illinois and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":5},{"subject":{"id":70258648,"text":"sir20235064C - 2024 - Peak streamflow trends in Iowa and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064C","publicationYear":"2024","noYear":false,"chapter":"C","displayTitle":"Peak Streamflow Trends in Iowa and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Iowa and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":6},{"subject":{"id":70260707,"text":"sir20235064I - 2024 - Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064I","publicationYear":"2024","noYear":false,"chapter":"I","displayTitle":"Peak Streamflow Trends in South Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in South Dakota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":7},{"subject":{"id":70264019,"text":"sir20235064H - 2025 - Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064H","publicationYear":"2025","noYear":false,"chapter":"H","displayTitle":"Peak Streamflow Trends in North Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":8},{"subject":{"id":70264020,"text":"sir20235064E - 2025 - Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Peak Streamflow Trends in Minnesota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":9},{"subject":{"id":70267230,"text":"sir20235064G - 2025 - Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064G","publicationYear":"2025","noYear":false,"chapter":"G","displayTitle":"Peak Streamflow Trends in Montana and Northern Wyoming and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Montana and northern Wyoming and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":10}],"lastModifiedDate":"2024-01-25T20:46:24.335384","indexId":"sir20235064","displayToPublicDate":"2024-01-25T14:46:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","displayTitle":"Peak Streamflow Trends and Their Relation to Changes in Climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","docAbstract":"<p>Flood-frequency analysis, also called peak-flow frequency or flood-flow frequency analysis, is essential to water resources management applications including critical structure design and floodplain mapping. Federal guidelines for doing flood-frequency analyses are presented in a U.S. Geological Survey Techniques and Methods report known as Bulletin 17C. A basic assumption within Bulletin 17C is that for drainage basins without major hydrologic alterations, statistical properties of the distribution of annual peak streamflows (peak flows) are stationary; that is, the mean, variance, and skew are constant. The stationarity assumption has been widely accepted within the flood-frequency community; however, a better understanding of long-term climatic persistence and concerns about potential climate change and land-use change has caused a reexamination of the stationarity assumption. This work is part of that reexamination.</p><p>The stationarity assumption is a concern because flood-frequency analyses that do not incorporate observed trends and abrupt changes may result in a poor representation of the true flood risk. Bulletin 17C does not offer guidance for incorporating nonstationarities when estimating floods, and it describes a need for studies that incorporate changing climate or basin characteristics. In response to this need and a history of concern regarding nonstationarity peak flows in the region, this study was done to assess potential nonstationarity in peak flows in the north-central United States.</p><p>This report summarizes the methods used to detect hydroclimatic changes in peak-flow data in the study region. Four periods were selected for analysis of peak flow, daily streamflow, and climate data. The periods are (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. The starting point for these analyses was the initial data analysis of peak flow described in Bulletin 17C, which includes plotting the peak flow and checking for autocorrelation, monotonic trends, and changes points. Analyses were added to examine additional features in the data. Results are provided in a U.S. Geological Survey data release. The study limitations are documented for users of the results.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064","collaboration":"Prepared in cooperation with Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Ryberg, K.R., comp., 2024, Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, [variously paged], https://doi.org/10.3133/sir20235064.","productDescription":"1 p.","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":424953,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/sir20235064.pdf","text":"Abstract","size":"522 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5064"},{"id":424911,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/coverthb.jpg"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/dakota-water\" href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p><p><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-01-25","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"compilers":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893272,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":70251153,"text":"sir20235064A - 2024 - Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","interactions":[{"subject":{"id":70251153,"text":"sir20235064A - 2024 - Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064A","publicationYear":"2024","noYear":false,"chapter":"A","displayTitle":"Introduction and Methods of Analysis for Peak Streamflow Trends and Their Relation to Changes in Climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","title":"Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2026-01-30T18:05:45.100881","indexId":"sir20235064A","displayToPublicDate":"2024-01-25T14:44:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"A","displayTitle":"Introduction and Methods of Analysis for Peak Streamflow Trends and Their Relation to Changes in Climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","title":"Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","docAbstract":"<p>Flood-frequency analysis, also called peak-flow frequency or flood-flow frequency analysis, is essential to water resources management applications including critical structure design and floodplain mapping. Federal guidelines for doing flood-frequency analyses are presented in a U.S. Geological Survey Techniques and Methods Report known as Bulletin 17C. A basic assumption within Bulletin 17C is that for drainage basins without major hydrologic alterations, statistical properties of the distribution of annual peak streamflows (peak flows) are stationary; that is, the mean, variance, and skew are constant. The stationarity assumption has been widely accepted within the flood-frequency community; however, a better understanding of long-term climatic persistence and concerns about potential climate change and land-use change has caused a reexamination of the stationarity assumption. Flood-frequency analyses that do not incorporate observed trends and abrupt changes may result in a poor representation of the true flood risk. Bulletin 17C does not offer guidance for incorporating nonstationarities when estimating floods, and it describes a need for studies that incorporate changing climate or basin characteristics. In response to this need and a history of concern regarding nonstationarity peak flows in the region, this study was done by the U.S. Geological Survey, in cooperation with the Departments of Transportation of Illinois, Iowa, Michigan, Minnesota, Missouri, South Dakota, and Wisconsin; the Montana Department of Natural Resources and Conservation; and the North Dakota Department of Water Resources, to assess potential nonstationarity in peak flows in the north-central United States.</p><p>This chapter summarizes the methods used to detect hydroclimatic changes in peak-flow data in the study region. A wide range of analyses and statistical approaches are applied to document the primary mechanisms controlling floods and characterize temporal changes in hydroclimatic variables and peak flow. Four periods were selected for analysis of peak flow, daily streamflow, and climate data. The periods are (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. The climate data consist of monthly time series estimates of temperature, precipitation, potential evapotranspiration, actual evapotranspiration, snowfall, soil moisture storage, snow water equivalent, and runoff on a 3.1-mile by 3.1-mile grid for the conterminous United States.</p><p>Statistical and graphical analyses were used to investigate potential changes in hydrology and climate. The starting point for these analyses was the initial data analysis of peak flow described in Bulletin 17C, which includes plotting the peak flow and checking for autocorrelation, monotonic trends, and changes points. Analyses were added to examine additional features in the data. To examine potential causal drivers of changes, the climate data were analyzed graphically and statistically. Results are provided in a U.S. Geological Survey data release. The study limitations are documented for users of the results.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Peak Streamflow Trends and Their Relation to Changes in Climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064A","collaboration":"Prepared in cooperation with Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Ryberg, K.R., Over, T.M., Levin, S.B., Heimann, D.C., Barth, N.A., Marti, M.K., O’Shea, P.S., Sanocki, C.A., Williams-Sether, T.J., Wavra, H.N., Sando, T.R., Sando, S.K., and Liu, M.S., 2024, Introduction and methods of analysis for peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin, chap. A <i>of</i> Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 27 p., https://doi.org/10.3133/sir20235064A.","productDescription":"Report: vi, 27 p.; Data Release; Dataset","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-145865","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":424913,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/a/coverthb.jpg"},{"id":424914,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5064/a/sir20235064a.pdf","text":"Report","size":"44.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5064–A"},{"id":424915,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5064/a/sir20235064a.XML"},{"id":424916,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5064/a/images/"},{"id":424917,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R71WWZ","text":"USGS data release","linkHelpText":"Peak streamflow data, climate data, and results from investigating hydroclimatic trends and climate change effects on peak streamflow in the Central United States, 1920–2020"},{"id":424918,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":499376,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115980.htm","linkFileType":{"id":5,"text":"html"}},{"id":424919,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235064A/full"}],"country":"United States","state":"Iowa, Illinois, Michigan, Missouri, Minnesota, Montana, North Dakota, South Dakota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.524844,41.691635],[-87.531646,39.347888],[-87.640435,39.166727],[-87.496537,38.778571],[-87.975511,38.232742],[-88.158207,37.664542],[-88.078046,37.532029],[-88.450127,37.411717],[-88.490068,37.067874],[-89.058036,37.188767],[-89.171881,37.068184],[-89.202607,36.601576],[-89.343753,36.630991],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.870481,40.71248],[-95.844088,41.180598],[-96.096186,41.547192],[-96.077543,41.777824],[-96.342395,42.160491],[-96.380107,42.451494],[-96.625958,42.513576],[-96.687669,42.653126],[-97.308853,42.867307],[-98.035034,42.764205],[-98.568936,42.998537],[-104.053127,43.000585],[-104.057698,44.997431],[-111.044275,45.001345],[-111.048974,44.474072],[-111.323669,44.724474],[-111.50494,44.635746],[-111.469185,44.552044],[-112.258665,44.569516],[-112.387389,44.448058],[-112.749011,44.491233],[-112.844859,44.358221],[-113.134824,44.752763],[-113.455071,44.865424],[-113.802955,45.592631],[-114.015633,45.696127],[-114.345019,45.459916],[-114.559038,45.565706],[-114.422963,45.855381],[-114.527096,46.146218],[-114.322912,46.642938],[-114.76689,46.696901],[-115.294785,47.220914],[-115.731348,47.433381],[-115.72377,47.696671],[-116.049153,47.999923],[-116.049193,49.000912],[-95.153711,48.998903],[-95.153314,49.384358],[-94.878454,49.333193],[-94.640803,48.741171],[-93.818375,48.534442],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.86827,47.5569],[-92.058888,46.809938],[-91.942988,46.679939],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.398478,46.575832],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/dakota-water\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Selection</li><li>Methods</li><li>Results</li><li>Study Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2024-01-25","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893274,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Levin, Sara B. 0000-0002-2448-3129","orcid":"https://orcid.org/0000-0002-2448-3129","contributorId":209947,"corporation":false,"usgs":true,"family":"Levin","given":"Sara B.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":893277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marti, Mackenzie K. 0000-0001-8817-4969 mmarti@usgs.gov","orcid":"https://orcid.org/0000-0001-8817-4969","contributorId":289738,"corporation":false,"usgs":true,"family":"Marti","given":"Mackenzie","email":"mmarti@usgs.gov","middleInitial":"K.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893278,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Shea, Padraic S. 0000-0001-9005-8289 poshea@usgs.gov","orcid":"https://orcid.org/0000-0001-9005-8289","contributorId":196742,"corporation":false,"usgs":true,"family":"O’Shea","given":"Padraic","email":"poshea@usgs.gov","middleInitial":"S.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893279,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sanocki, Chris 0000-0001-6714-5421","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":214142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Chris","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893280,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893281,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wavra, Harper N. 0000-0001-5688-902X","orcid":"https://orcid.org/0000-0001-5688-902X","contributorId":292171,"corporation":false,"usgs":true,"family":"Wavra","given":"Harper","email":"","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893282,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sando, T. Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":202033,"corporation":false,"usgs":true,"family":"Sando","given":"T.","email":"","middleInitial":"Roy","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893283,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sando, Steven K. 0000-0003-1206-1030","orcid":"https://orcid.org/0000-0003-1206-1030","contributorId":203451,"corporation":false,"usgs":true,"family":"Sando","given":"Steven","email":"","middleInitial":"K.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":893284,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Milan S. 0000-0002-2721-7897","orcid":"https://orcid.org/0000-0002-2721-7897","contributorId":298838,"corporation":false,"usgs":true,"family":"Liu","given":"Milan","email":"","middleInitial":"S.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893285,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70251838,"text":"70251838 - 2024 - Nutrient and carbonate chemistry patterns associated with Karenia brevis blooms in three West Florida Shelf estuaries 2020-2023","interactions":[],"lastModifiedDate":"2024-03-04T17:24:26.134678","indexId":"70251838","displayToPublicDate":"2024-01-25T11:18:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nutrient and carbonate chemistry patterns associated with <i>Karenia brevis </i>blooms in three West Florida Shelf estuaries 2020-2023","title":"Nutrient and carbonate chemistry patterns associated with Karenia brevis blooms in three West Florida Shelf estuaries 2020-2023","docAbstract":"<p><span>Ocean acidification (OA) driven by eutrophication, riverine discharge, and other threats from local population growth that affect the inorganic carbonate system is already affecting the eastern Gulf of Mexico. Long-term declines in pH of ~ -0.001 pH units yr</span><sup>-1</sup><span>&nbsp;have been observed in many southwest Florida estuaries over the past few decades. Coastal and estuarine waters of southwest Florida experience high biomass harmful algal blooms (HABs) of the dinoflagellate&nbsp;</span><i>Karenia brevis</i><span>&nbsp;nearly every year; and these blooms have the potential to impact and be impacted by seasonal to interannual patterns of carbonate chemistry. Sampling was conducted seasonally along three estuarine transects (Tampa Bay, Charlotte Harbor, Caloosahatchee River) between May 2020 and May 2023 to obtain baseline measurements of carbonate chemistry prior to, during, and following&nbsp;</span><i>K. brevis</i><span>&nbsp;blooms. Conductivity, temperature and depth data and discrete water samples for&nbsp;</span><i>K. brevis</i><span>&nbsp;cell abundance, nutrients, and carbonate chemistry (total alkalinity, dissolved inorganic carbonate (DIC),&nbsp;</span><i>p</i><span>CO</span><sub>2,</sub><span>&nbsp;and pH</span><sub>T</sub><span>&nbsp;were evaluated to identify seasonal patterns and linkages among carbonate system variables, nutrients, and&nbsp;</span><i>K. brevis</i><span>&nbsp;blooms.&nbsp;</span><i>Karenia brevis</i><span>&nbsp;blooms were observed during six samplings, and highest&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;and lowest pH</span><sub>T</sub><span>&nbsp;was observed either during or after blooms in all three estuaries. Highest average pH and lowest&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;were observed in Tampa Bay. In all three estuaries, average DIC and pH</span><sub>T</sub><span>&nbsp;were higher and&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;was lower during dry seasons than wet seasons. There was strong influence of net community calcification (NCC) and net community production (NCP) on the carbonate system; and NCC : NCP ratios in Tampa Bay, Charlotte Harbor, and the Caloosahatchee River were 0.83, 0.93, and 1.02, respectively. Linear relationships between salinity and dissolved ammonium, phosphate, and nitrate indicate strong influence of freshwater inflow from river input and discharge events on nutrient concentrations. This study is a first step towards connecting observations of high biomass blooms like those caused by&nbsp;</span><i>K. brevis</i><span>&nbsp;and alterations of carbonate chemistry in Southwest Florida. Our study demonstrates the need for integrated monitoring to improve understanding of interactions among the carbonate system, HABs, water quality, and acidification over local to regional spatial scales and event to decadal time scales.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2024.1331285","usgsCitation":"Hall, E.R., Yates, K., Hubbard, K.A., Garrett, M., and Frankle, J., 2024, Nutrient and carbonate chemistry patterns associated with Karenia brevis blooms in three West Florida Shelf estuaries 2020-2023: Frontiers in Marine Science, v. 11, 1331285, 16 p., https://doi.org/10.3389/fmars.2024.1331285.","productDescription":"1331285, 16 p.","ipdsId":"IP-159102","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2024.1331285","text":"Publisher Index Page"},{"id":426239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Caloosahatchee River, Charlotte Harbor, Tampa Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.34832763337916,\n              28.08844843847784\n            ],\n            [\n              -82.86256285263788,\n              28.08844843847784\n            ],\n            [\n              -82.86256285263788,\n              27.473959773932535\n            ],\n            [\n              -82.34832763337916,\n              27.473959773932535\n            ],\n            [\n              -82.34832763337916,\n              28.08844843847784\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.0334613261019,\n              26.994691244568983\n            ],\n            [\n              -82.29301422823401,\n              26.99594814875003\n            ],\n            [\n              -82.2944248418327,\n              26.644724858711314\n            ],\n            [\n              -82.0334613261019,\n              26.643464039045767\n            ],\n            [\n              -82.0334613261019,\n              26.994691244568983\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.835022542123,\n              26.624097850120123\n            ],\n            [\n              -82.14513224054205,\n              26.624097850120123\n            ],\n            [\n              -82.14513224054205,\n              26.367427637237768\n            ],\n            [\n              -81.835022542123,\n              26.367427637237768\n            ],\n            [\n              -81.835022542123,\n              26.624097850120123\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Emily R.","contributorId":229381,"corporation":false,"usgs":false,"family":"Hall","given":"Emily","email":"","middleInitial":"R.","affiliations":[{"id":41628,"text":"Mote Marine","active":true,"usgs":false}],"preferred":false,"id":895784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":895785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Katherine A.","contributorId":334472,"corporation":false,"usgs":false,"family":"Hubbard","given":"Katherine","email":"","middleInitial":"A.","affiliations":[{"id":80154,"text":"Florida Fish & Wildlife Conservation Commission-FWRI","active":true,"usgs":false}],"preferred":false,"id":895786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrett, Matt","contributorId":334473,"corporation":false,"usgs":false,"family":"Garrett","given":"Matt","email":"","affiliations":[{"id":80154,"text":"Florida Fish & Wildlife Conservation Commission-FWRI","active":true,"usgs":false}],"preferred":false,"id":895787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frankle, Jessica","contributorId":334474,"corporation":false,"usgs":false,"family":"Frankle","given":"Jessica","email":"","affiliations":[{"id":13147,"text":"Mote Marine Laboratory","active":true,"usgs":false}],"preferred":false,"id":895788,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256443,"text":"70256443 - 2024 - Sources of bias in applying close-kin mark–recapture to terrestrial game species with different life histories","interactions":[],"lastModifiedDate":"2024-08-02T15:39:56.392104","indexId":"70256443","displayToPublicDate":"2024-01-25T10:32:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Sources of bias in applying close-kin mark–recapture to terrestrial game species with different life histories","docAbstract":"<p><span>Close-kin mark–recapture (CKMR) is a method analogous to traditional mark–recapture but without requiring recapture of individuals. Instead, multilocus genotypes (genetic marks) are used to identify related individuals in one or more sampling occasions, which enables the opportunistic use of samples from harvested wildlife. To apply the method accurately, it is important to build appropriate CKMR models that do not violate assumptions linked to the species’ and population's biology and sampling methods. In this study, we evaluated the implications of fitting overly simplistic CKMR models to populations with complex reproductive success dynamics or selective sampling. We used forward-in-time, individual-based simulations to evaluate the accuracy and precision of CKMR abundance and survival estimates in species with different longevities, mating systems, and sampling strategies. Simulated populations approximated a range of life histories among game species of North America with lethal sampling to evaluate the potential of using harvested samples to estimate population size. Our simulations show that CKMR can yield nontrivial biases in both survival and abundance estimates, unless influential life history traits and selective sampling are explicitly accounted for in the modeling framework. The number of kin pairs observed in the sample, in combination with the type of kinship used in the model (parent–offspring pairs and/or half-sibling pairs), can affect the precision and/or accuracy of the estimates. CKMR is a promising method that will likely see an increasing number of applications in the field as costs of genetic analysis continue to decline. Our work highlights the importance of applying population-specific CKMR models that consider relevant demographic parameters, individual covariates, and the protocol through which individuals were sampled.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4244","usgsCitation":"Seveque, A., Lonsinger, R.C., Waits, L.P., Brzeski, K.E., Komoroske, L., Ott-Conn, C.N., Mayhew, S.L., Norton, D.C., Petroelje, T., Swenson, J.D., and Morin, D.J., 2024, Sources of bias in applying close-kin mark–recapture to terrestrial game species with different life histories: Ecology, v. 105, no. 3, e4244, 16 p., https://doi.org/10.1002/ecy.4244.","productDescription":"e4244, 16 p.","ipdsId":"IP-147891","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4244","text":"Publisher Index Page"},{"id":432149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Seveque, Anthony","contributorId":340602,"corporation":false,"usgs":false,"family":"Seveque","given":"Anthony","email":"","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P","contributorId":261163,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","email":"","middleInitial":"P","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":907392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brzeski, Kristin E.","contributorId":340606,"corporation":false,"usgs":false,"family":"Brzeski","given":"Kristin","email":"","middleInitial":"E.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":907393,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Komoroske, Lisa M","contributorId":152475,"corporation":false,"usgs":false,"family":"Komoroske","given":"Lisa M","affiliations":[{"id":18933,"text":"NOAA Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":907394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ott-Conn, Caitlin N.","contributorId":212132,"corporation":false,"usgs":false,"family":"Ott-Conn","given":"Caitlin","email":"","middleInitial":"N.","affiliations":[{"id":38429,"text":"Michigan Department of Natural Resources, Wildlife Disease Laboratory, Lansing, MI, USA","active":true,"usgs":false}],"preferred":false,"id":907395,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mayhew, Sarah L.","contributorId":340610,"corporation":false,"usgs":false,"family":"Mayhew","given":"Sarah","email":"","middleInitial":"L.","affiliations":[{"id":81637,"text":"Michigan Department of Natural Resource","active":true,"usgs":false}],"preferred":false,"id":907396,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Norton, D. Cody","contributorId":340611,"corporation":false,"usgs":false,"family":"Norton","given":"D.","email":"","middleInitial":"Cody","affiliations":[{"id":81637,"text":"Michigan Department of Natural Resource","active":true,"usgs":false}],"preferred":false,"id":907397,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Petroelje, Tyler R.","contributorId":340612,"corporation":false,"usgs":false,"family":"Petroelje","given":"Tyler R.","affiliations":[{"id":81637,"text":"Michigan Department of Natural Resource","active":true,"usgs":false}],"preferred":false,"id":907398,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Swenson, John D.","contributorId":340613,"corporation":false,"usgs":false,"family":"Swenson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":907399,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Morin, Dana J.","contributorId":340614,"corporation":false,"usgs":false,"family":"Morin","given":"Dana","email":"","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907400,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70251210,"text":"70251210 - 2024 - U.S. Geological Survey Grand Canyon Monitoring and Research Center: Proceedings of the fiscal year 2023 annual reporting meeting to the Glen Canyon Dam Adaptive Management Program","interactions":[],"lastModifiedDate":"2024-02-01T19:12:39.98564","indexId":"70251210","displayToPublicDate":"2024-01-25T09:58:53","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"U.S. Geological Survey Grand Canyon Monitoring and Research Center: Proceedings of the fiscal year 2023 annual reporting meeting to the Glen Canyon Dam Adaptive Management Program","docAbstract":"<p><span>This proceedings is prepared for the USBR and Glen Canyon Dam Adaptive Management Program (GCDAMP) to account for work conducted and products delivered in FY 2023 by SBSC's Grand Canyon Monitoring and Research Center (GCMRC) and to inform the Technical Work Group of science conducted by GCMRC and its cooperators in support of the GCDAMP. It includes a summary of accomplishments, modifications to work plans, and results related to projects included in GCMRC’s FY 2021-23 Triennial Work Plan. This work was done to support the 11 resource goals identified in the Glen Canyon Dam Long-Term Experimental and Management Plan (LTEMP) Environmental Impact Statement and Record of Decision.</span></p>","language":"English","publisher":"U.S. Department of the Interior, Bureau of Reclamation","usgsCitation":"Schultz, A.A., Anderson, G.M., Topping, D.J., Griffiths, R.E., Dean, D.J., Grams, P.E., Kohl, K., Salter, G.L., Kaplinski, M.A., Chapman, K., Mueller, E., Palmquist, E.C., Butterfield, B.J., Sankey, J., Deemer, B., Yackulic, C., Hansen, L.E., Eppehimer, D.E., Kennedy, T., Metcalfe, A., Muehlbauer, J., Ford, M., Dodrill, M., Dzul, M.C., Rinker, P., Pillow, M.J., Ward, D., Korman, J., Webb, M.A., Crossman, J.A., Frye, E.J., Rogowski, D.L., Dibble, K., Bair, L., Abbott, J., Gushue, T., Byerley, E.P., Thomas, J.E., Sabol, T.A., and Mihalevich, B.A., 2024, U.S. Geological Survey Grand Canyon Monitoring and Research Center: Proceedings of the fiscal year 2023 annual reporting meeting to the Glen Canyon Dam Adaptive Management Program, 189 p.","productDescription":"189 p.","ipdsId":"IP-159732","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":425078,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.usbr.gov/uc/progact/amp/twg/2024-01-25-twg-meeting/20240125-AnnualReportingMeeting-ProceedingsFiscalYear2023-508-UCRO.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":425221,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Glen Canyon Dam, Grand Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.03513008028041,\n              37.881106318535586\n            ],\n            [\n              -114.97953981803084,\n              37.881106318535586\n            ],\n            [\n              -114.95779935781574,\n              35.59103128948172\n            ],\n            [\n              -110.10033012569623,\n              35.62637925049381\n            ],\n            [\n              -110.03513008028041,\n              37.881106318535586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hartwell, Meredith A. 0000-0001-6350-5450 mhartwell@usgs.gov","orcid":"https://orcid.org/0000-0001-6350-5450","contributorId":4842,"corporation":false,"usgs":true,"family":"Hartwell","given":"Meredith","email":"mhartwell@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893520,"contributorType":{"id":2,"text":"Editors"},"rank":39},{"text":"Schultz, Andrew Alan 0000-0003-2546-9262","orcid":"https://orcid.org/0000-0003-2546-9262","contributorId":333661,"corporation":false,"usgs":true,"family":"Schultz","given":"Andrew","email":"","middleInitial":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893521,"contributorType":{"id":2,"text":"Editors"},"rank":40},{"text":"Anderson, Gregory Mark 0000-0001-7763-9433","orcid":"https://orcid.org/0000-0001-7763-9433","contributorId":333663,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"Mark","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893522,"contributorType":{"id":2,"text":"Editors"},"rank":41}],"authors":[{"text":"Schultz, Andrew Alan 0000-0003-2546-9262","orcid":"https://orcid.org/0000-0003-2546-9262","contributorId":333661,"corporation":false,"usgs":true,"family":"Schultz","given":"Andrew","email":"","middleInitial":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Gregory Mark 0000-0001-7763-9433","orcid":"https://orcid.org/0000-0001-7763-9433","contributorId":333663,"corporation":false,"usgs":true,"family":"Anderson","given":"Gregory","email":"","middleInitial":"Mark","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893485,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kohl, Keith 0000-0001-6812-0373 kkohl@usgs.gov","orcid":"https://orcid.org/0000-0001-6812-0373","contributorId":1323,"corporation":false,"usgs":true,"family":"Kohl","given":"Keith","email":"kkohl@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893486,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893487,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kaplinski, Matthew A. 0000-0001-6232-8325","orcid":"https://orcid.org/0000-0001-6232-8325","contributorId":333646,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893488,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chapman, Katherine","contributorId":333647,"corporation":false,"usgs":false,"family":"Chapman","given":"Katherine","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":893489,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":893490,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893491,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":893492,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893493,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893494,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893495,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hansen, Lindsay Erika 0000-0003-4093-0598","orcid":"https://orcid.org/0000-0003-4093-0598","contributorId":310417,"corporation":false,"usgs":true,"family":"Hansen","given":"Lindsay","email":"","middleInitial":"Erika","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893496,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893497,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893498,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Metcalfe, Anya 0000-0002-6286-4889","orcid":"https://orcid.org/0000-0002-6286-4889","contributorId":221738,"corporation":false,"usgs":true,"family":"Metcalfe","given":"Anya","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893499,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893500,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ford, Morgan 0000-0001-5104-9566","orcid":"https://orcid.org/0000-0001-5104-9566","contributorId":221740,"corporation":false,"usgs":true,"family":"Ford","given":"Morgan","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893501,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Dodrill, Michael J. 0000-0002-7038-7170","orcid":"https://orcid.org/0000-0002-7038-7170","contributorId":206439,"corporation":false,"usgs":true,"family":"Dodrill","given":"Michael","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893502,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893503,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Rinker, Pilar","contributorId":333651,"corporation":false,"usgs":false,"family":"Rinker","given":"Pilar","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893504,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Pillow, Michael J.","contributorId":206441,"corporation":false,"usgs":false,"family":"Pillow","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":37331,"text":"US Fish and Wildlife Service, 2500 S. Pine Knoll Drive, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":893505,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Ward, David","contributorId":140493,"corporation":false,"usgs":false,"family":"Ward","given":"David","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":893506,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":893507,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Webb, Molly A.H.","contributorId":299904,"corporation":false,"usgs":false,"family":"Webb","given":"Molly","email":"","middleInitial":"A.H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":893508,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Crossman, James A.","contributorId":288696,"corporation":false,"usgs":false,"family":"Crossman","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":893509,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Frye, Eric J 0000-0003-3254-6545","orcid":"https://orcid.org/0000-0003-3254-6545","contributorId":333653,"corporation":false,"usgs":true,"family":"Frye","given":"Eric","email":"","middleInitial":"J","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893510,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Rogowski, David L.","contributorId":175084,"corporation":false,"usgs":false,"family":"Rogowski","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":27527,"text":"AZ Game and FIsh Department","active":true,"usgs":false}],"preferred":false,"id":893511,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Dibble, Kimberley","contributorId":333654,"corporation":false,"usgs":false,"family":"Dibble","given":"Kimberley","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":893512,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893513,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Abbott, Joshua","contributorId":333656,"corporation":false,"usgs":false,"family":"Abbott","given":"Joshua","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":893514,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Gushue, Thomas M. 0000-0002-7172-2460","orcid":"https://orcid.org/0000-0002-7172-2460","contributorId":213515,"corporation":false,"usgs":true,"family":"Gushue","given":"Thomas M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893515,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Byerley, Erica Paige 0009-0003-8483-7528","orcid":"https://orcid.org/0009-0003-8483-7528","contributorId":333657,"corporation":false,"usgs":true,"family":"Byerley","given":"Erica","email":"","middleInitial":"Paige","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893516,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Thomas, Joseph E 0000-0003-1222-7061","orcid":"https://orcid.org/0000-0003-1222-7061","contributorId":333659,"corporation":false,"usgs":true,"family":"Thomas","given":"Joseph","email":"","middleInitial":"E","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893517,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893518,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Mihalevich, Bryce Anthony 0000-0001-5492-221X","orcid":"https://orcid.org/0000-0001-5492-221X","contributorId":304586,"corporation":false,"usgs":true,"family":"Mihalevich","given":"Bryce","email":"","middleInitial":"Anthony","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":893519,"contributorType":{"id":1,"text":"Authors"},"rank":40}]}}
,{"id":70263438,"text":"70263438 - 2024 - Lead isotopes in New England (USA) volcanogenic massive sulphide deposits: Implications for metal sources and pre-accretionary tectonostratigraphic terranes","interactions":[],"lastModifiedDate":"2025-02-11T15:02:28.602162","indexId":"70263438","displayToPublicDate":"2024-01-25T08:58:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Lead isotopes in New England (USA) volcanogenic massive sulphide deposits: Implications for metal sources and pre-accretionary tectonostratigraphic terranes","docAbstract":"<p><span>Lead isotope values for volcanogenic massive sulfide (VMS) deposits provide important insights into metal sources and the nature of pre-accretionary tectonostratigraphic terranes and underlying basements. Deposits of this type in New England formed in diverse tectonic settings including volcanic arcs and backarcs, a supra–subduction zone arc, a rifted forearc foreland basin, and a rifted continental margin. Following VMS mineralization on or near the seafloor, components of the tectonostratigraphic assemblages—volcanic&nbsp;±&nbsp;sedimentary rocks, coeval intrusions, sulfide deposits, and underlying basements—were diachronously accreted to the Laurentian margin during the Paleozoic. Lead isotope data for galena show relatively large ranges for&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb,&nbsp;</span><sup>207</sup><span>Pb/</span><sup>204</sup><span>Pb, and&nbsp;</span><sup>208</sup><span>Pb/</span><sup>204</sup><span>Pb. Evaluation of potential lead sources, using for comparison Pb-isotope data from modern and ancient settings, suggests that principal sources include the mantle, volcanic&nbsp;±&nbsp;sedimentary rocks, and deeper basement rocks. Integration of the Pb-isotope values with published data such as Nd isotopes for the volcanic rocks and from deep seismic reflection profiles points to the involvement of several basements, including those of Grenvillian, Ganderian, Avalonian, and West African (and (or) Amazonian) affinity. Clustering of Pb-isotope data for VMS deposits within individual Cambrian and Ordovician volcanic and volcanosedimentary settings, delineated by differences in&nbsp;</span><sup>206</sup><span>Pb/</span><sup>204</sup><span>Pb and&nbsp;</span><i>µ</i><span>&nbsp;(</span><sup>238</sup><span>U/</span><sup>204</sup><span>Pb) values, are consistent with lead derivation from at least four and possibly five different tectonostratigraphic assemblages with isotopically distinct basements. Collectively, our Pb-isotope data for New England VMS deposits provide a novel window into the nature of subarc basement rocks during pre-accretionary sulfide mineralization outboard of Laurentia during early Paleozoic time.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2023-0058","usgsCitation":"Slack, J.F., Swinden, S., Piercey, S., Ayuso, R.A., Van Staal, C., and LeHuray, A., 2024, Lead isotopes in New England (USA) volcanogenic massive sulphide deposits: Implications for metal sources and pre-accretionary tectonostratigraphic terranes: Canadian Journal of Earth Sciences, v. 61, no. 3, p. 329-354, https://doi.org/10.1139/cjes-2023-0058.","productDescription":"26 p.","startPage":"329","endPage":"354","ipdsId":"IP-150600","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488061,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjes-2023-0058","text":"Publisher Index Page"},{"id":481924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -51.10577731806529,\n              46.61275186321612\n            ],\n            [\n              -55.35082263691291,\n              54.182554388508834\n            ],\n            [\n              -61.35588171642382,\n              57.46002851922097\n            ],\n            [\n              -73.28079877295971,\n              45.00743093796049\n            ],\n            [\n              -73.47490888047565,\n              41.05036540728776\n            ],\n            [\n              -70.9730034551954,\n              41.1363051887171\n            ],\n            [\n              -69.42632131232216,\n              40.955457251309355\n            ],\n            [\n              -70.14968181955982,\n              42.77227106840391\n            ],\n            [\n              -67.14459409952332,\n              44.41871947402353\n            ],\n            [\n              -65.06951975286547,\n              43.051439551694585\n            ],\n            [\n              -59.341656766565194,\n              45.94306586960545\n            ],\n            [\n              -58.30143626152355,\n              47.009132973035605\n            ],\n            [\n              -54.6406975038181,\n              46.28851454484371\n            ],\n            [\n              -51.10577731806529,\n              46.61275186321612\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":926991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swinden, Scott","contributorId":350789,"corporation":false,"usgs":false,"family":"Swinden","given":"Scott","affiliations":[],"preferred":false,"id":926992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piercey, Stephen","contributorId":221364,"corporation":false,"usgs":false,"family":"Piercey","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":926993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":926994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Staal, Cees","contributorId":350790,"corporation":false,"usgs":false,"family":"Van Staal","given":"Cees","affiliations":[],"preferred":false,"id":926995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeHuray, Anne P. 0000-0003-3988-6673","orcid":"https://orcid.org/0000-0003-3988-6673","contributorId":334884,"corporation":false,"usgs":false,"family":"LeHuray","given":"Anne P.","affiliations":[{"id":80277,"text":"Chemical Management Associates LLC","active":true,"usgs":false}],"preferred":false,"id":926996,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251303,"text":"70251303 - 2024 - Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems","interactions":[],"lastModifiedDate":"2024-05-20T15:20:10.790713","indexId":"70251303","displayToPublicDate":"2024-01-25T08:53:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Large-scale disturbances, such as megafires, motivate restoration at equally large extents. Measuring the survival and growth of individual plants plays a key role in current efforts to monitor restoration success. However, the scale of modern restoration (e.g., &gt;10,000 ha) challenges measurements of demographic rates with field data. In this study, we demonstrate how unoccupied aerial system (UAS) flights can provide an efficient solution to the tradeoff of precision and spatial extent in detecting demographic rates from the air. We flew two, sequential UAS flights at two sagebrush (<i>Artemisia tridentata</i>) common gardens to measure the survival and growth of individual plants. The accuracy of Bayesian-optimized segmentation of individual shrub canopies was high (73–95%, depending on the year and site), and remotely sensed survival estimates were within 10% of ground-truthed survival censuses. Stand age structure affected remotely sensed estimates of growth; growth was overestimated relative to field-based estimates by 57% in the first garden with older stands, but agreement was high in the second garden with younger stands. Further, younger stands (similar to those just after disturbance) with shorter, smaller plants were sometimes confused with other shrub species and bunchgrasses, demonstrating a need for integrating spectral classification approaches that are increasingly available on affordable UAS platforms. The older stand had several merged canopies, which led to an underestimation of abundance but did not bias remotely sensed survival estimates. Advances in segmentation and UAS structure from motion photogrammetry will enable demographic rate measurements at management-relevant extents.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14106","usgsCitation":"Olsoy, P.J., Zaiats, A., Delparte, D.M., Germino, M., Richardson, B., Roser, A.V., Forbey, J.S., Cattau, M.E., and Caughlin, T., 2024, Demography with drones: Detecting growth and survival of shrubs with unoccupied aerial systems: Restoration Ecology, v. 32, no. 4, e14106, 12 p., https://doi.org/10.1111/rec.14106.","productDescription":"e14106, 12 p.","ipdsId":"IP-160982","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":440617,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14106","text":"Publisher Index Page"},{"id":425366,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Olsoy, Peter J. 0000-0002-8785-0459","orcid":"https://orcid.org/0000-0002-8785-0459","contributorId":317761,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":893936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zaiats, Andrii 0000-0001-8978-4152","orcid":"https://orcid.org/0000-0001-8978-4152","contributorId":257072,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":893937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Delparte, Donna M. 0000-0002-9107-5117","orcid":"https://orcid.org/0000-0002-9107-5117","contributorId":317762,"corporation":false,"usgs":false,"family":"Delparte","given":"Donna","email":"","middleInitial":"M.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":893938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":893939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Bryce 0000-0001-9521-4367","orcid":"https://orcid.org/0000-0001-9521-4367","contributorId":195702,"corporation":false,"usgs":false,"family":"Richardson","given":"Bryce","email":"","affiliations":[],"preferred":false,"id":893940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roser, Anna V. 0000-0002-5184-2916","orcid":"https://orcid.org/0000-0002-5184-2916","contributorId":317765,"corporation":false,"usgs":false,"family":"Roser","given":"Anna","email":"","middleInitial":"V.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":893941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Forbey, Jennifer S.","contributorId":194442,"corporation":false,"usgs":false,"family":"Forbey","given":"Jennifer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":893942,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cattau, Megan E 0000-0003-2164-3809","orcid":"https://orcid.org/0000-0003-2164-3809","contributorId":295715,"corporation":false,"usgs":false,"family":"Cattau","given":"Megan","email":"","middleInitial":"E","affiliations":[{"id":63922,"text":"Department of Human-Environment Systems, Boise State University","active":true,"usgs":false}],"preferred":false,"id":893943,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":893944,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251275,"text":"70251275 - 2024 - The addition of 144Nd atomic mass to routine ICP-MS analysis as a Quick Screening Tool for Approximating Rare Earth Elements (Q-STAR) in natural waters","interactions":[],"lastModifiedDate":"2024-02-05T15:24:29.754603","indexId":"70251275","displayToPublicDate":"2024-01-25T06:55:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"The addition of 144Nd atomic mass to routine ICP-MS analysis as a Quick Screening Tool for Approximating Rare Earth Elements (Q-STAR) in natural waters","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\"><span>Rare earth elements&nbsp;(REEs) are a class of critical minerals, all of which can have supply chain vulnerability that impacts economic security. These elements are widely measured in environmental matrices via&nbsp;inductively coupled plasma mass spectrometry&nbsp;(ICP-MS); however, successful quantification can require time-consuming, sample-specific optimization. While a sample-by-sample approach is appropriate for targeted quantification studies, this approach is not suitable for&nbsp;mineral exploration&nbsp;efforts where rapidly screening thousands of samples for the presence of REEs is desired. Here, we demonstrated the use of a Quick Screening Tool for Approximating REEs (Q-STAR) to detect REEs in surface water and groundwater matrices, collected as part of existing environmental studies. A mass-to-charge ratio of 144 (</span><i>m</i>/<i>z</i><span>&nbsp;=&nbsp;144) was added to an ICP-MS method to screen for REEs in filtered water samples submitted for metals analyses to the&nbsp;U.S.&nbsp;Geological Survey (USGS) National Water Quality Laboratory. We detected the presence of REEs above a reference threshold of 1200 counts per second in 18&nbsp;% of pre-selected 6626 samples. Using this screened dataset, we mapped estimated dissolved REE concentrations across the United States in relation to ecoregions and underlying&nbsp;geology. Data are constrained to where sample collection took place but nevertheless show estimated aqueous dissolved REE concentrations on a geographic scale that has not yet been studied. To validate Q-STAR, REEs were measured in a USGS standard reference sample, a subset of 88 archived filtered water samples, and in fresh filtered surface water samples. Our targeted analyses demonstrated a strong linear relationship between Q-STAR predicted and measured values in all archived samples for Nd (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.94), and light REEs (LREEs) such as&nbsp;lanthanum&nbsp;(La) (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.93),&nbsp;praseodymium&nbsp;(Pr) (r</span><sup>2</sup><span>&nbsp;=&nbsp;0.94) and&nbsp;samarium&nbsp;(Sm) (r</span><sup>2</sup>&nbsp;=&nbsp;0.94). Using Q-STAR screen values, nine field sites were identified and surface water samples recollected to confirm the continued presence of Nd and LREEs. Q-STAR can be used to screen an unlimited number of water samples for the presence of REEs prior to time-intensive and costly quantitative analyses and to generate large REE datasets for further investigation.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2024.107401","usgsCitation":"Tomaszewski, E.J., Sun, Z., and Bednar, A., 2024, The addition of 144Nd atomic mass to routine ICP-MS analysis as a Quick Screening Tool for Approximating Rare Earth Elements (Q-STAR) in natural waters: Journal of Geochemical Exploration, v. 258, 107401, 11 p., https://doi.org/10.1016/j.gexplo.2024.107401.","productDescription":"107401, 11 p.","ipdsId":"IP-147714","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440623,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2024.107401","text":"Publisher Index Page"},{"id":425281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                48.14\n              ],\n              [\n                -90.83,\n                48.27\n              ],\n              [\n                -89.6,\n                48.01\n              ],\n              [\n                -89.27292,\n                48.01981\n              ],\n              [\n                -88.37811,\n                48.30292\n              ],\n              [\n                -87.43979,\n                47.94\n              ],\n              [\n                -86.46199,\n                47.55334\n              ],\n              [\n                -85.65236,\n                47.22022\n              ],\n              [\n                -84.87608,\n                46.90008\n              ],\n              [\n                -84.77924,\n                46.6371\n              ],\n              [\n                -84.54375,\n                46.53868\n              ],\n              [\n                -84.6049,\n                46.4396\n              ],\n              [\n                -84.3367,\n                46.40877\n              ],\n              [\n                -84.14212,\n                46.51223\n              ],\n              [\n                -84.09185,\n                46.27542\n              ],\n              [\n                -83.89077,\n                46.11693\n              ],\n              [\n                -83.61613,\n                46.11693\n              ],\n              [\n                -83.46955,\n                45.99469\n              ],\n              [\n                -83.59285,\n                45.81689\n              ],\n              [\n                -82.55092,\n                45.34752\n              ],\n              [\n                -82.33776,\n                44.44\n              ],\n              [\n                -82.13764,\n                43.57109\n              ],\n              [\n                -82.43,\n                42.98\n              ],\n              [\n                -82.9,\n                42.43\n              ],\n              [\n                -83.12,\n                42.08\n              ],\n              [\n                -83.142,\n                41.97568\n              ],\n              [\n                -83.02981,\n                41.8328\n              ],\n              [\n                -82.69009,\n                41.67511\n              ],\n              [\n                -82.43928,\n                41.67511\n              ],\n              [\n                -81.27775,\n                42.20903\n              ],\n              [\n                -80.24745,\n                42.3662\n              ],\n              [\n                -78.93936,\n                42.86361\n              ],\n              [\n                -78.92,\n                42.965\n              ],\n              [\n                -79.01,\n                43.27\n              ],\n              [\n                -79.17167,\n                43.46634\n              ],\n              [\n                -78.72028,\n                43.62509\n              ],\n              [\n                -77.73789,\n                43.62906\n              ],\n              [\n                -76.82003,\n                43.62878\n              ],\n              [\n                -76.5,\n                44.01846\n              ],\n              [\n                -76.375,\n                44.09631\n              ],\n              [\n                -75.31821,\n                44.81645\n              ],\n              [\n                -74.867,\n                45.00048\n              ],\n              [\n                -73.34783,\n                45.00738\n              ],\n              [\n                -71.50506,\n                45.0082\n              ],\n              [\n                -71.405,\n                45.255\n              ],\n              [\n                -71.08482,\n                45.30524\n              ],\n              [\n                -70.66,\n                45.46\n              ],\n              [\n                -70.305,\n                45.915\n              ],\n              [\n                -69.99997,\n                46.69307\n              ],\n              [\n                -69.23722,\n                47.44778\n              ],\n              [\n                -68.905,\n                47.185\n              ],\n              [\n                -68.23444,\n                47.35486\n              ],\n              [\n                -67.79046,\n                47.06636\n              ],\n              [\n                -67.79134,\n                45.70281\n              ],\n              [\n                -67.13741,\n                45.13753\n              ],\n              [\n                -66.96466,\n                44.8097\n              ],\n              [\n                -68.03252,\n                44.3252\n              ],\n              [\n                -69.06,\n                43.98\n              ],\n              [\n                -70.11617,\n                43.68405\n              ],\n              [\n                -70.64548,\n                43.09024\n              ],\n              [\n                -70.81489,\n                42.8653\n              ],\n              [\n                -70.825,\n                42.335\n              ],\n              [\n                -70.495,\n                41.805\n              ],\n              [\n                -70.08,\n                41.78\n              ],\n              [\n                -70.185,\n                42.145\n              ],\n              [\n                -69.88497,\n                41.92283\n              ],\n              [\n                -69.96503,\n                41.63717\n              ],\n              [\n                -70.64,\n                41.475\n              ],\n              [\n                -71.12039,\n                41.49445\n              ],\n              [\n                -71.86,\n                41.32\n              ],\n              [\n                -72.295,\n                41.27\n              ],\n              [\n                -72.87643,\n                41.22065\n              ],\n              [\n                -73.71,\n                40.9311\n              ],\n              [\n                -72.24126,\n                41.11948\n              ],\n              [\n                -71.945,\n                40.93\n              ],\n              [\n                -73.345,\n                40.63\n              ],\n              [\n                -73.982,\n                40.628\n              ],\n              [\n                -73.95232,\n                40.75075\n              ],\n              [\n                -74.25671,\n                40.47351\n              ],\n              [\n                -73.96244,\n                40.42763\n              ],\n              [\n                -74.17838,\n                39.70926\n              ],\n              [\n                -74.90604,\n                38.93954\n              ],\n              [\n                -74.98041,\n                39.1964\n              ],\n              [\n                -75.20002,\n                39.24845\n              ],\n              [\n                -75.52805,\n                39.4985\n              ],\n              [\n                -75.32,\n                38.96\n              ],\n              [\n                -75.07183,\n                38.78203\n              ],\n              [\n                -75.05673,\n                38.40412\n              ],\n              [\n                -75.37747,\n                38.01551\n              ],\n              [\n                -75.94023,\n                37.21689\n              ],\n              [\n                -76.03127,\n                37.2566\n              ],\n              [\n                -75.72205,\n                37.93705\n              ],\n              [\n                -76.23287,\n                38.31921\n              ],\n              [\n                -76.35,\n                39.15\n              ],\n              [\n                -76.54272,\n                38.71762\n              ],\n              [\n                -76.32933,\n                38.08326\n              ],\n              [\n                -76.99,\n                38.23999\n              ],\n              [\n                -76.30162,\n                37.91794\n              ],\n              [\n                -76.25874,\n                36.9664\n              ],\n              [\n                -75.9718,\n                36.89726\n              ],\n              [\n                -75.86804,\n                36.55125\n              ],\n              [\n                -75.72749,\n                35.55074\n              ],\n              [\n                -76.36318,\n                34.80854\n              ],\n              [\n                -77.39763,\n                34.51201\n              ],\n              [\n                -78.05496,\n                33.92547\n              ],\n              [\n                -78.55435,\n                33.86133\n              ],\n              [\n                -79.06067,\n                33.49395\n              ],\n              [\n                -79.20357,\n                33.15839\n              ],\n              [\n                -80.30132,\n                32.50935\n              ],\n              [\n                -80.86498,\n                32.0333\n              ],\n              [\n                -81.33629,\n                31.44049\n              ],\n              [\n                -81.49042,\n                30.72999\n              ],\n              [\n                -81.31371,\n                30.03552\n              ],\n              [\n                -80.98,\n                29.18\n              ],\n              [\n                -80.53558,\n                28.47213\n              ],\n              [\n                -80.53,\n                28.04\n              ],\n              [\n                -80.05654,\n                26.88\n              ],\n              [\n                -80.08801,\n                26.20576\n              ],\n              [\n                -80.13156,\n                25.81677\n              ],\n              [\n                -80.38103,\n                25.20616\n              ],\n              [\n                -80.68,\n                25.08\n              ],\n              [\n                -81.17213,\n                25.20126\n              ],\n              [\n                -81.33,\n                25.64\n              ],\n              [\n                -81.71,\n                25.87\n              ],\n              [\n                -82.24,\n                26.73\n              ],\n              [\n                -82.70515,\n                27.49504\n              ],\n              [\n                -82.85526,\n                27.88624\n              ],\n              [\n                -82.65,\n                28.55\n              ],\n              [\n                -82.93,\n                29.1\n              ],\n              [\n                -83.70959,\n                29.93656\n              ],\n              [\n                -84.1,\n                30.09\n              ],\n              [\n                -85.10882,\n                29.63615\n              ],\n              [\n                -85.28784,\n                29.68612\n              ],\n              [\n                -85.7731,\n                30.15261\n              ],\n              [\n                -86.4,\n                30.4\n              ],\n              [\n                -87.53036,\n                30.27433\n              ],\n              [\n                -88.41782,\n                30.3849\n              ],\n              [\n                -89.18049,\n                30.31598\n              ],\n              [\n                -89.59383,\n                30.15999\n              ],\n              [\n                -89.41373,\n                29.89419\n              ],\n              [\n                -89.43,\n                29.48864\n              ],\n              [\n                -89.21767,\n                29.29108\n              ],\n              [\n                -89.40823,\n                29.15961\n              ],\n              [\n                -89.77928,\n                29.30714\n              ],\n              [\n                -90.15463,\n                29.11743\n              ],\n              [\n                -90.88022,\n                29.14854\n              ],\n              [\n                -91.62678,\n                29.677\n              ],\n              [\n                -92.49906,\n                29.5523\n              ],\n              [\n                -93.22637,\n                29.78375\n              ],\n              [\n                -93.84842,\n                29.71363\n              ],\n              [\n                -94.69,\n                29.48\n              ],\n              [\n                -95.60026,\n                28.73863\n              ],\n              [\n                -96.59404,\n                28.30748\n              ],\n              [\n                -97.14,\n                27.83\n              ],\n              [\n                -97.37,\n                27.38\n              ],\n              [\n                -97.38,\n                26.69\n              ],\n              [\n                -97.33,\n                26.21\n              ],\n              [\n                -97.14,\n                25.87\n              ],\n              [\n                -97.53,\n                25.84\n              ],\n              [\n                -98.24,\n                26.06\n              ],\n              [\n                -99.02,\n                26.37\n              ],\n              [\n                -99.3,\n                26.84\n              ],\n              [\n                -99.52,\n                27.54\n              ],\n              [\n                -100.11,\n                28.11\n              ],\n              [\n                -100.45584,\n                28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"258","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tomaszewski, Elizabeth J. 0000-0003-1211-7524","orcid":"https://orcid.org/0000-0003-1211-7524","contributorId":333860,"corporation":false,"usgs":true,"family":"Tomaszewski","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":893806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sun, Zhouming","contributorId":333745,"corporation":false,"usgs":false,"family":"Sun","given":"Zhouming","email":"","affiliations":[{"id":38050,"text":"Contractor","active":true,"usgs":false}],"preferred":false,"id":893807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bednar, Anthony J.","contributorId":289481,"corporation":false,"usgs":false,"family":"Bednar","given":"Anthony J.","affiliations":[{"id":40033,"text":"US Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":893808,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251236,"text":"70251236 - 2024 - Male lake char release taurocholic acid as part of a mating pheromone","interactions":[],"lastModifiedDate":"2024-01-31T12:53:43.584685","indexId":"70251236","displayToPublicDate":"2024-01-25T06:45:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Male lake char release taurocholic acid as part of a mating pheromone","docAbstract":"<div id=\"16851321\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The evolutionary origins of sexual preferences for chemical signals remain poorly understood, due, in part, to scant information on the molecules involved. In the current study, we identified a male pheromone in lake char (<i>Salvelinus namaycush</i>) to evaluate the hypothesis that it exploits a non-sexual preference for juvenile odour. In anadromous char species, the odour of stream-resident juveniles guides migratory adults into spawning streams. Lake char are also attracted to juvenile odour but have lost the anadromous phenotype and spawn on nearshore reefs, where juvenile odour does not persist long enough to act as a cue for spawning site selection by adults. Previous behavioural data raised the possibility that males release a pheromone that includes components of juvenile odour. Using metabolomics, we found that the most abundant molecule released by males was also released by juveniles but not females. Tandem mass spectrometry and nuclear magnetic resonance were used to identify the molecule as taurocholic acid (TCA), which was previously implicated as a component of juvenile odour. Additional chemical analyses revealed that males release TCA at high rates via their urine during the spawning season. Finally, picomolar concentrations of TCA attracted pre-spawning and spawning females but not males. Taken together, our results indicate that male lake char release TCA as a mating pheromone and support the hypothesis that the pheromone is a partial match of juvenile odour.</p></div>","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.246801","usgsCitation":"Buchinger, T.J., Li, K., Bussy, U., Huerta, B., Tamrakar, S., Johnson, N.S., and Li, W., 2024, Male lake char release taurocholic acid as part of a mating pheromone: Journal of Experimental Biology, v. 227, no. 2, jeb246801, 8 p., https://doi.org/10.1242/jeb.246801.","productDescription":"jeb246801, 8 p.","ipdsId":"IP-159508","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":440625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.246801","text":"Publisher Index Page"},{"id":425140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Buchinger, Tyler J. 0000-0002-4590-341X","orcid":"https://orcid.org/0000-0002-4590-341X","contributorId":290501,"corporation":false,"usgs":false,"family":"Buchinger","given":"Tyler","email":"","middleInitial":"J.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":893662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Ke","contributorId":172267,"corporation":false,"usgs":false,"family":"Li","given":"Ke","email":"","affiliations":[],"preferred":false,"id":893663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bussy, Ugo","contributorId":150993,"corporation":false,"usgs":false,"family":"Bussy","given":"Ugo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":893664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huerta, Belinda","contributorId":222210,"corporation":false,"usgs":false,"family":"Huerta","given":"Belinda","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":893665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tamrakar, Sonam","contributorId":333713,"corporation":false,"usgs":false,"family":"Tamrakar","given":"Sonam","email":"","affiliations":[],"preferred":false,"id":893666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":893605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":893667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252712,"text":"70252712 - 2024 - Seasonal differences in larval sea lamprey (Petromyzon marinus) sensitivity to the pesticide TFM","interactions":[],"lastModifiedDate":"2026-03-04T15:06:59.620302","indexId":"70252712","displayToPublicDate":"2024-01-25T06:44:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal differences in larval sea lamprey (Petromyzon marinus) sensitivity to the pesticide TFM","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\">Invasive sea lamprey (<i>Petromyzon marinus</i><span>) are controlled in the Great Lakes with 4-nitro-3-(trifluoromethyl)phenol (commonly 3-trifluoromethyl-4-nitrophenol or TFM). The proper amount of TFM must be applied during treatments to effectively kill larval sea lamprey while minimizing impacts to non-target species. In this study, bioassay tests were conducted in May, July, and September in a portable test trailer at six larval sea lamprey infested rivers in Michigan to determine potential seasonal changes in sensitivity of larval sea lamprey to TFM. Larvae greater than 60&nbsp;mm were collected from each stream and exposed for 12&nbsp;h in TFM-treated stream water using two independent continuous-flow diluter systems. A suite of&nbsp;water chemistries&nbsp;and larval physiological parameters were collected during the tests and modeled as potential predictors of seasonal changes in the sensitivity of larval sea lamprey to TFM. The observed minimum lethal concentrations to larval sea lamprey were 0–40% lower (May), 8% lower–59% higher (July), and 49–117% higher (September) than sea lamprey control personnel treatment prediction charts. Water temperature, liver glycogen content, and time of year were strongly associated with seasonal differences in TFM sensitivity, offering sea lamprey control personnel more exact predictions to limit potential residual lamprey surviving future treatments.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.102248","usgsCitation":"Schueller, J., Boogaard, M.A., Kirkeeng, C., Schloesser, N., Wolfe, S.L., Lettenberger, A.J., King-Heiden, T., and Luoma, J.A., 2024, Seasonal differences in larval sea lamprey (Petromyzon marinus) sensitivity to the pesticide TFM: Journal of Great Lakes Research, v. 50, no. 1, 102248, 13 p.; Data Release, https://doi.org/10.1016/j.jglr.2023.102248.","productDescription":"102248, 13 p.; Data Release","ipdsId":"IP-149557","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467035,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.102248","text":"Publisher Index Page"},{"id":435056,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F88TZN","text":"USGS data release","linkHelpText":"Data and Code Release: Determination of Larval Sea Lamprey (Petromyzon marinus) Seasonal Sensitivity Differences to Lampricide Treatment"},{"id":427343,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.91332131330061,\n              47.89511951589205\n            ],\n            [\n              -88.91332131330061,\n              42.90106511753237\n            ],\n            [\n              -82.14574318830054,\n              42.90106511753237\n            ],\n            [\n              -82.14574318830054,\n              47.89511951589205\n            ],\n            [\n              -88.91332131330061,\n              47.89511951589205\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schueller, Justin R. 0000-0002-7102-3889","orcid":"https://orcid.org/0000-0002-7102-3889","contributorId":213527,"corporation":false,"usgs":true,"family":"Schueller","given":"Justin","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boogaard, Michael A. 0000-0002-5192-8437","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":334911,"corporation":false,"usgs":false,"family":"Boogaard","given":"Michael","email":"","middleInitial":"A.","affiliations":[{"id":37196,"text":"Retired USGS employee","active":true,"usgs":false}],"preferred":false,"id":897981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirkeeng, Courtney A. 0000-0002-7141-1216","orcid":"https://orcid.org/0000-0002-7141-1216","contributorId":237026,"corporation":false,"usgs":true,"family":"Kirkeeng","given":"Courtney","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolfe, Samantha L. 0000-0001-8563-8836","orcid":"https://orcid.org/0000-0001-8563-8836","contributorId":274999,"corporation":false,"usgs":true,"family":"Wolfe","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897984,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lettenberger, Avery J. 0000-0002-0684-7822","orcid":"https://orcid.org/0000-0002-0684-7822","contributorId":334914,"corporation":false,"usgs":false,"family":"Lettenberger","given":"Avery","email":"","middleInitial":"J.","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":897985,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"King-Heiden, Tisha 0000-0003-0526-6556","orcid":"https://orcid.org/0000-0003-0526-6556","contributorId":334916,"corporation":false,"usgs":false,"family":"King-Heiden","given":"Tisha","email":"","affiliations":[{"id":47908,"text":"University of Wisconsin - La Crosse","active":true,"usgs":false}],"preferred":false,"id":897986,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897987,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251114,"text":"ofr20241002 - 2024 - Seasonal and breeding phenologies of 38 grassland bird species in the midcontinent of North America","interactions":[],"lastModifiedDate":"2024-01-25T01:55:29.233031","indexId":"ofr20241002","displayToPublicDate":"2024-01-24T13:05:12","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1002","displayTitle":"Seasonal and Breeding Phenologies of 38 Grassland Bird Species in the Midcontinent of North America","title":"Seasonal and breeding phenologies of 38 grassland bird species in the midcontinent of North America","docAbstract":"Grasslands in the midcontinent of North America are highly imperiled, and grassland birds have suffered the largest bird declines of any terrestrial biome in North America in the last 50 years. Consequently, the conservation and management of grasslands, as well as their associated avian communities, are major priorities for the State, Provincial, and Federal agencies; non-governmental organizations; and private entities that influence the millions of hectares of grasslands in the midcontinent. Resource managers often deploy disturbances to grasslands (for example, grazing, haying, and burning) to maintain or enhance their quality or structure, but the timing of these disturbances has the potential to disrupt the nesting activities of grassland birds. In this report, we compiled two types of phenology information for 38 species of nonwaterfowl, grassland-nesting birds across four author-defined regions in the midcontinent of North America: (1) species- and region-specific arrival and departure dates from the eBird database, which indicate when a species may be assumed to be present in a region; and (2) reported dates of nesting activity for each species (start and end dates of nesting as well as total duration) from published bird distribution and occurrence books and breeding bird atlases, which indicate when nesting by a species may be assumed. This previously available but widely dispersed information, compiled for the first time, will aid resource managers and inform their decisions about the timing of disturbances while minimizing grassland management effects on nesting birds.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241002","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Farm Service Agency, the U.S. Fish and Wildlife Service, and the Prairie Pothole Joint Venture","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"MacDonald, G.J., Anteau, M.J., Ellis, K.S., Igl, L.D., Niemuth, N.D., and Vest, J.L., 2024, Seasonal and breeding phenologies of 38 grassland bird species in the midcontinent of North America: U.S. Geological Survey Open-File Report 2024–1002, 43 p., https://doi.org/10.3133/ofr20241002.","productDescription":"vi, 43 p.","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154391","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":424808,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241002/full"},{"id":424804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1002/coverthb.jpg"},{"id":424805,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1002/ofr20241002.pdf","text":"Report","size":"28.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1002"},{"id":424806,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1002/ofr20241002.XML"},{"id":424807,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1002/images/"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/npwrc\" data-mce-href=\"https://www.usgs.gov/centers/npwrc\">Northern Prairie Wildlife Research Center</a><br>U.S. Geological Survey<br>8711 37th Street Southeast<br>Jamestown, ND 58401</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results and Discussion</li><li>References Cited</li><li>Appendix 1. State- and Province-Level Summaries of Grassland Bird Phenology</li><li>Appendix 2. List of Published Resources Searched for Nesting Phenology Information</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"MacDonald, Garrett J. 0000-0002-9487-7721","orcid":"https://orcid.org/0000-0002-9487-7721","contributorId":238820,"corporation":false,"usgs":true,"family":"MacDonald","given":"Garrett","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":893166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":893167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Kristen S. 0000-0003-2759-3670","orcid":"https://orcid.org/0000-0003-2759-3670","contributorId":251877,"corporation":false,"usgs":true,"family":"Ellis","given":"Kristen","email":"","middleInitial":"S.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":893168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":221267,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":893169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Niemuth, Neal D. 0009-0006-9637-5588","orcid":"https://orcid.org/0009-0006-9637-5588","contributorId":204334,"corporation":false,"usgs":false,"family":"Niemuth","given":"Neal","email":"","middleInitial":"D.","affiliations":[{"id":36919,"text":"U.S. Fish and Wildlife Service Habitat and Population Evaluation Team","active":true,"usgs":false}],"preferred":false,"id":893170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vest, Josh L. 0000-0001-9664-4502","orcid":"https://orcid.org/0000-0001-9664-4502","contributorId":333578,"corporation":false,"usgs":false,"family":"Vest","given":"Josh","email":"","middleInitial":"L.","affiliations":[{"id":79939,"text":"USFWS PPJV","active":true,"usgs":false}],"preferred":false,"id":893171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250961,"text":"ofr20231099 - 2024 - Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska","interactions":[],"lastModifiedDate":"2026-01-28T17:56:35.524595","indexId":"ofr20231099","displayToPublicDate":"2024-01-24T12:45:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1099","displayTitle":"Satellite Interferometry Landslide Detection and Preliminary Tsunamigenic Plausibility Assessment in Prince William Sound, Southcentral Alaska","title":"Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska","docAbstract":"<p>Regional mapping of actively deforming landslides, including measurements of landslide velocity, is integral for hazard assessments in paraglacial environments. These inventories are also critical for describing the potential impacts that the warming effects of climate change have on slope instability in mountainous and cryospheric terrain. The objective of this study is to identify slow-moving landslides in the Prince William Sound region, southcentral Alaska, United States, which has had rapid deglaciation since the mid-1800s, and assess their tsunamigenic plausibility. We use an automated time series persistent scatterer interferometric synthetic aperture radar processing method with 7 years of Sentinel-1 data (2016–22) to identify 43 slow-moving slopes with average velocities ranging from approximately 0.2 to 21 millimeters per year. Landslide presence is confirmed using aerial imagery and previous landslide inventory records. We assess the tsunamigenic plausibility of the landslides using empirically derived estimates of landslide mobility based on modeled landslide volumes. Of the identified landslides, our preliminary analysis suggests that 11 have tsunamigenic potential if they were to fail rapidly and catastrophically. Although our estimate of tsunamigenic plausibility is preliminary and can be refined with additional observations and analyses, it can be used to prioritize ongoing and future hazard assessment, surveillance, and research efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231099","collaboration":"Prepared in collaboration with Southern Methodist University","programNote":"Landslide Hazards Program","usgsCitation":"Schaefer, L.N., Kim, J., Staley, D.M., Lu, Z., and Barnhart, K.R., 2024, Satellite interferometry landslide detection and preliminary tsunamigenic plausibility assessment in Prince William Sound, southcentral Alaska: U.S. Geological Survey Open-File Report 2023–1099, 22 p., https://doi.org/10.3133/ofr20231099.","productDescription":"v, 22 p.","onlineOnly":"Y","ipdsId":"IP-155368","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499202,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115975.htm","linkFileType":{"id":5,"text":"html"}},{"id":424451,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1099/coverthb.jpg"},{"id":424866,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1099/ofr20231099.xml"},{"id":424865,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1099/images"},{"id":424452,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1099/ofr20231099.pdf","text":"Report","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1099"},{"id":424970,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231099/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1099"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.54873591535403,\n              61.68671968753719\n            ],\n            [\n              -149.54873591535403,\n              59.52701043286805\n            ],\n            [\n              -143.89688082106878,\n              59.52701043286805\n            ],\n            [\n              -143.89688082106878,\n              61.68671968753719\n            ],\n            [\n              -149.54873591535403,\n              61.68671968753719\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geologic-hazards-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/geologic-hazards-science-center/\">Geologic Hazards Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 966<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methodology </li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Tsunami Plausibility for Various Landslide Volume Methods</li></ul>","publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim, Jinwook","contributorId":53416,"corporation":false,"usgs":false,"family":"Kim","given":"Jinwook","email":"","affiliations":[],"preferred":false,"id":892464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Zhong","contributorId":202550,"corporation":false,"usgs":false,"family":"Lu","given":"Zhong","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":892466,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":892467,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256450,"text":"70256450 - 2024 - Using resiliency, redundancy, and representation in a Bayesian belief network to assess imperilment of riverine fishes","interactions":[],"lastModifiedDate":"2024-08-02T16:24:40.536176","indexId":"70256450","displayToPublicDate":"2024-01-24T11:21:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Using resiliency, redundancy, and representation in a Bayesian belief network to assess imperilment of riverine fishes","docAbstract":"<p><span>Conservation prioritization frameworks are used worldwide to identify species at greatest risk of extinction and to allocate limited resources across regions, species, and populations. Conservation prioritization can be impeded by ecological knowledge gaps and data deficiency, especially in freshwater species inhabiting highly complex aquatic ecosystems. Therefore, we developed a flexible approach that calculates a species' imperilment risk based on the conservation principles of resiliency, redundancy, and representation (i.e., the “three R's”). Our approach organizes data on species traits, distributions, population connectivity, and threats within a Bayesian belief network capable of predicting resiliency and redundancy within representative ecological settings. Empirical data and expert judgment inform the model to provide robust and repeatable risk assessments for rare and data-deficient species. The model calculates resiliency at hierarchical spatial scales from distributional trends and population strength. Redundancy is estimated from the connectivity and quantities of extant populations. Resiliency, redundancy, and species' inherent vulnerability based on species traits collectively estimate extirpation risk within each unique ecological setting. Extirpation risks across ecological settings characterize representation and are aggregated to estimate global imperilment risk. We demonstrate the model's utility with Piebald Madtom (</span><i>Noturus gladiator</i><span>), a species petitioned for listing under the U.S. Endangered Species Act. Our results revealed that resiliency, redundancy, and extirpation risks can vary spatially across the species' range while identifying populations where additional sampling could disproportionally reduce uncertainty in estimated global imperilment risk. Our approach could standardize and expedite conservation status assessments, identify opportunities for early management intervention of at-risk species and populations, and strategically reduce uncertainty by focusing monitoring and research on priority information gaps.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4738","usgsCitation":"Dunn, C.G., Schumann, D.A., Colvin, M., Sleezer, L.J., Wagner, M., Jones-Farrand, D., Rivenbark, E., McRae, S., and Evans, K., 2024, Using resiliency, redundancy, and representation in a Bayesian belief network to assess imperilment of riverine fishes: Ecosphere, v. 15, e4738, 21 p., https://doi.org/10.1002/ecs2.4738.","productDescription":"e4738, 21 p.","ipdsId":"IP-137173","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4738","text":"Publisher Index Page"},{"id":432153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, David A.","contributorId":267261,"corporation":false,"usgs":false,"family":"Schumann","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, Michael E.","contributorId":264842,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael E.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleezer, Logan John 0000-0002-5787-8629","orcid":"https://orcid.org/0000-0002-5787-8629","contributorId":331489,"corporation":false,"usgs":true,"family":"Sleezer","given":"Logan","email":"","middleInitial":"John","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":907432,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Matthew 0000-0002-3987-072X","orcid":"https://orcid.org/0000-0002-3987-072X","contributorId":221861,"corporation":false,"usgs":false,"family":"Wagner","given":"Matthew","affiliations":[{"id":40445,"text":"Student contractor to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":907435,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones-Farrand, D. Todd","contributorId":54713,"corporation":false,"usgs":true,"family":"Jones-Farrand","given":"D. Todd","affiliations":[],"preferred":false,"id":907433,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rivenbark, Erin","contributorId":340546,"corporation":false,"usgs":false,"family":"Rivenbark","given":"Erin","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":907437,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McRae, Sarah","contributorId":340663,"corporation":false,"usgs":false,"family":"McRae","given":"Sarah","affiliations":[{"id":81646,"text":"South Atlantic-Gulf and Mississippi-Basin Unified Interior Regions","active":true,"usgs":false}],"preferred":false,"id":907436,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Evans, Kristine","contributorId":217902,"corporation":false,"usgs":false,"family":"Evans","given":"Kristine","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":907434,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251088,"text":"sir20235139 - 2024 - Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia","interactions":[],"lastModifiedDate":"2024-01-24T17:05:22.407091","indexId":"sir20235139","displayToPublicDate":"2024-01-24T10:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5139","displayTitle":"Water-Quality Indicators of Surface-Water-Influenced Groundwater Supplies in the Ohio River Alluvial Aquifer of West Virginia","title":"Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the West Virginia Department of Health and Human Resources, studied surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia for the purpose of understanding the influence of surface water on groundwater chemistry. Public groundwater supplies obtained from these aquifers receive substantial recharge from surface-water sources and are highly susceptible to degradation from water-soluble contaminants. Water samples were collected from 4 sites in the Ohio River and 23 groundwater wells in the alluvial aquifer from June 2019 to January 2020. Surface-water influence was assessed through characterization of groundwater quality, determination of recharge sources, estimation of groundwater age, and estimation of the fraction of Ohio River water entering groundwater pumped by wells in the alluvial aquifers.</p><p>Hydrogeochemical processes controlling solute concentrations in the Ohio River alluvial aquifer were evaluated with multivariate statistical analysis and identified to be primarily controlled by redox processes, input from sources of salinity, and carbonate dissolution. Meteoric recharge from the Ohio River and precipitation on the alluvium are the main sources of water entering the aquifer. The age of groundwater in the system was determined to be primarily from a modern source. Groundwater samples from every well included in this study had detections for at least one geochemical indicator of surface-water influence, and every well was determined to be susceptible and vulnerable to contamination from surface sources.</p><p>Results from binary mixing models and inverse geochemical models showed that sulfate, silica, and bicarbonate concentrations predict the fraction of Ohio River water entering alluvial wells for preliminary determination of surface-water influence when compared to fractions predicted using a numerical groundwater-flow model. In the absence of extensive analytes and geochemical or groundwater modeling capabilities, preliminary assessment of the fraction of Ohio River water entering groundwater wells in the Ohio River alluvium can be estimated for most sites using a linear relation between the equivalent ratio of bicarbonate to sulfate and the fraction of water computed by the average of the three geochemical models presented in this report. This approximation of the fraction of Ohio River water, coupled with information on the hydrogeological framework and geochemical indicators of surface-water influence, may be sufficient for preliminary assessment of surface-water influence in the absence of more detailed site information or reaction-transport models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235139","collaboration":"Prepared in cooperation with the West Virginia Department of Health and Human Resources, Bureau for Public Health","usgsCitation":"McAdoo, M.A., and Connock, G.T., 2024, Water-quality indicators of surface-water-influenced groundwater supplies in the Ohio River alluvial aquifer of West Virginia: U.S. Geological Survey Scientific Investigations Report 2023–5139, 42 p., https://doi.org/10.3133/sir20235139.","productDescription":"Report: x, 42 p.; Data Release","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153944","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":424695,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TPVMI","text":"USGS data release","linkHelpText":"PHREEQC files for geochemical simulations in the Ohio River Alluvial Aquifer of West Virginia"},{"id":424693,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5139/sir20235139.XML"},{"id":424692,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235139/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5139"},{"id":424691,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5139/sir20235139.pdf","text":"Report","size":"2.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5139"},{"id":424690,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5139/coverthb.jpg"},{"id":424694,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5139/images/"}],"country":"United States","state":"West Virginia","county":"Brooke County, Hancock County, Jackson County, Marshall County, Mason County, Ohio County, Pleasants County, Tyler County, Wetzel County, Wood County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-80.519,40.4013],[-80.5187,40.2883],[-80.5189,40.1082],[-80.5196,39.9639],[-80.5179,39.7543],[-80.5171,39.7212],[-80.4244,39.7214],[-80.4171,39.7112],[-80.4088,39.7139],[-80.4051,39.7053],[-80.4075,39.7012],[-80.4063,39.6958],[-80.4033,39.6881],[-80.3979,39.6863],[-80.3954,39.6786],[-80.399,39.6768],[-80.4019,39.67],[-80.4049,39.6672],[-80.4031,39.6641],[-80.4031,39.6564],[-80.3971,39.6518],[-80.3917,39.6464],[-80.3934,39.6401],[-80.3976,39.636],[-80.4053,39.631],[-80.4089,39.6346],[-80.4101,39.6396],[-80.4155,39.6423],[-80.4227,39.6395],[-80.4263,39.6386],[-80.4346,39.6345],[-80.4382,39.6318],[-80.4429,39.6304],[-80.4435,39.629],[-80.4417,39.6268],[-80.4363,39.6231],[-80.4351,39.6168],[-80.4381,39.6136],[-80.4458,39.6127],[-80.4482,39.6118],[-80.4493,39.6032],[-80.4487,39.5977],[-80.4511,39.5964],[-80.4565,39.5972],[-80.4654,39.5995],[-80.4785,39.5958],[-80.4809,39.5913],[-80.4797,39.584],[-80.4838,39.5777],[-80.4868,39.5749],[-80.4891,39.5713],[-80.4939,39.5667],[-80.4974,39.5622],[-80.498,39.5581],[-80.4956,39.5527],[-80.4949,39.5481],[-80.4925,39.5418],[-80.4853,39.535],[-80.4853,39.5305],[-80.487,39.5201],[-80.4816,39.5174],[-80.481,39.5137],[-80.478,39.511],[-80.4702,39.5029],[-80.4713,39.4975],[-80.4725,39.4879],[-80.4742,39.4843],[-80.4862,39.4838],[-80.4915,39.4806],[-80.4944,39.4679],[-80.495,39.4629],[-80.4991,39.4602],[-80.5074,39.4597],[-80.5146,39.4588],[-80.5157,39.4524],[-80.5175,39.4474],[-80.5186,39.4424],[-80.5168,39.4384],[-80.518,39.4356],[-80.5275,39.4324],[-80.537,39.4301],[-80.5442,39.4301],[-80.5466,39.4314],[-80.5567,39.4327],[-80.5579,39.4341],[-80.5579,39.4377],[-80.5633,39.4391],[-80.5675,39.4386],[-80.5722,39.4354],[-80.5758,39.4345],[-80.5776,39.4372],[-80.5788,39.444],[-80.58,39.448],[-80.583,39.4498],[-80.5902,39.4494],[-80.5967,39.448],[-80.5985,39.4471],[-80.5996,39.4412],[-80.6014,39.4407],[-80.6068,39.4429],[-80.6092,39.4461],[-80.6146,39.4506],[-80.62,39.4506],[-80.6307,39.4437],[-80.6372,39.4459],[-80.6438,39.4418],[-80.6545,39.4418],[-80.658,39.4404],[-80.6586,39.4359],[-80.6615,39.4331],[-80.6663,39.4318],[-80.6699,39.4331],[-80.6728,39.4295],[-80.6764,39.4281],[-80.6799,39.4285],[-80.6853,39.4307],[-80.6883,39.4294],[-80.6895,39.4271],[-80.693,39.4266],[-80.6948,39.4298],[-80.6973,39.4316],[-80.7139,39.4288],[-80.7314,39.3956],[-80.8178,39.3497],[-80.8297,39.3437],[-80.8886,39.2948],[-80.8904,39.298],[-80.8869,39.3071],[-80.887,39.3102],[-80.8906,39.3148],[-80.8907,39.3206],[-80.8925,39.3247],[-80.8913,39.3265],[-80.8843,39.3347],[-80.8838,39.3397],[-80.8844,39.3415],[-80.8826,39.3447],[-80.8845,39.3479],[-80.8851,39.3529],[-80.8822,39.3561],[-80.8852,39.3597],[-80.893,39.366],[-80.8996,39.3732],[-80.9038,39.375],[-80.9051,39.3781],[-80.9056,39.3777],[-80.9104,39.3763],[-80.9146,39.3771],[-80.9218,39.3839],[-80.9302,39.3865],[-80.9343,39.3883],[-80.9379,39.3874],[-80.9396,39.3828],[-80.9449,39.3728],[-80.9412,39.3656],[-80.947,39.3556],[-80.9558,39.3433],[-80.9593,39.3401],[-80.9641,39.3419],[-80.979,39.3445],[-80.9885,39.3471],[-80.9956,39.3403],[-80.998,39.3398],[-81.0015,39.3407],[-81.01,39.3506],[-81.0207,39.3496],[-81.023,39.3464],[-81.0272,39.3454],[-81.0308,39.3504],[-81.035,39.3503],[-81.035,39.3472],[-81.0355,39.3436],[-81.0366,39.3408],[-81.0402,39.3385],[-81.0437,39.3367],[-81.0437,39.333],[-81.0496,39.3285],[-81.0566,39.3243],[-81.0608,39.3238],[-81.0745,39.3255],[-81.0846,39.3286],[-81.0918,39.3263],[-81.1036,39.3217],[-81.1125,39.3216],[-81.1207,39.3143],[-81.1284,39.3137],[-81.1343,39.3101],[-81.1433,39.3136],[-81.1492,39.3095],[-81.1617,39.3089],[-81.1699,39.3047],[-81.1735,39.3047],[-81.1837,39.3096],[-81.1914,39.3127],[-81.1926,39.3104],[-81.1925,39.3063],[-81.1949,39.3054],[-81.1985,39.3049],[-81.2008,39.3049],[-81.2157,39.307],[-81.2193,39.3065],[-81.2217,39.3056],[-81.2233,39.2988],[-81.2263,39.2979],[-81.2298,39.2924],[-81.232,39.2846],[-81.2312,39.2751],[-81.2347,39.2687],[-81.2424,39.2682],[-81.2514,39.2695],[-81.2567,39.2685],[-81.2631,39.2626],[-81.2684,39.2603],[-81.2695,39.2543],[-81.2718,39.2484],[-81.2759,39.2434],[-81.2781,39.237],[-81.2781,39.2325],[-81.2792,39.2302],[-81.2862,39.2265],[-81.2892,39.2229],[-81.2944,39.2196],[-81.2961,39.2101],[-81.2994,39.1996],[-81.3011,39.1955],[-81.3004,39.1865],[-81.2986,39.1847],[-81.3974,39.1383],[-81.4021,39.1364],[-81.4081,39.1364],[-81.417,39.1381],[-81.4223,39.1376],[-81.4299,39.1329],[-81.4475,39.1205],[-81.4603,39.1108],[-81.558,39.0453],[-81.5806,39.0246],[-81.5293,39.0039],[-81.5333,38.9998],[-81.532,38.9953],[-81.5367,38.9898],[-81.5325,38.9885],[-81.5324,38.9835],[-81.5288,38.9826],[-81.5275,38.9786],[-81.5363,38.973],[-81.5492,38.967],[-81.5503,38.9633],[-81.5484,38.9602],[-81.543,38.9552],[-81.54,38.9517],[-81.5381,38.9476],[-81.5363,38.9454],[-81.5286,38.9436],[-81.5231,38.9369],[-81.5171,38.9329],[-81.5211,38.9252],[-81.511,38.9244],[-81.5032,38.9168],[-81.509,38.9126],[-81.51,38.9058],[-81.5153,38.903],[-81.52,38.9021],[-81.5253,38.9024],[-81.5271,38.902],[-81.5288,38.8992],[-81.5276,38.8983],[-81.5293,38.8947],[-81.5291,38.882],[-81.5214,38.8286],[-81.5212,38.8195],[-81.535,38.7151],[-81.5476,38.6705],[-81.5229,38.6142],[-81.5763,38.5791],[-81.6329,38.5547],[-81.6981,38.6273],[-81.7478,38.6855],[-81.7737,38.6824],[-81.957,38.6575],[-82.0629,38.6081],[-82.0556,38.475],[-82.2155,38.5911],[-82.2126,38.5907],[-82.2035,38.5917],[-82.1973,38.592],[-82.1941,38.5928],[-82.1903,38.5942],[-82.1826,38.5987],[-82.1804,38.6002],[-82.1758,38.6043],[-82.173,38.6085],[-82.1707,38.6147],[-82.1694,38.6214],[-82.1707,38.6299],[-82.1728,38.6394],[-82.1765,38.6461],[-82.1815,38.6573],[-82.1854,38.6677],[-82.188,38.6759],[-82.1892,38.6818],[-82.1889,38.6858],[-82.1878,38.6903],[-82.1828,38.6999],[-82.1817,38.704],[-82.1814,38.7112],[-82.1915,38.7329],[-82.1928,38.7378],[-82.1932,38.7514],[-82.1944,38.7551],[-82.1966,38.7588],[-82.2036,38.7648],[-82.2072,38.7661],[-82.2136,38.7697],[-82.2163,38.7723],[-82.2175,38.7746],[-82.2183,38.7786],[-82.2173,38.7882],[-82.2162,38.7913],[-82.2147,38.7942],[-82.2094,38.8005],[-82.197,38.8093],[-82.1909,38.8127],[-82.1685,38.8199],[-82.1611,38.8237],[-82.1565,38.8269],[-82.1514,38.8312],[-82.1472,38.8353],[-82.1431,38.8407],[-82.1407,38.8466],[-82.1389,38.8539],[-82.138,38.8612],[-82.1382,38.8662],[-82.1388,38.8712],[-82.1418,38.8797],[-82.1428,38.887],[-82.1421,38.8928],[-82.1392,38.8987],[-82.1363,38.9023],[-82.128,38.9087],[-82.1241,38.9127],[-82.1089,38.9358],[-82.1035,38.9453],[-82.1015,38.9498],[-82.0993,38.953],[-82.097,38.9571],[-82.0914,38.969],[-82.0891,38.9725],[-82.0845,38.9767],[-82.0833,38.9774],[-82.0727,38.9825],[-82.0617,38.9866],[-82.0539,38.9911],[-82.0472,38.9969],[-82.0461,38.9983],[-82.0439,39.0024],[-82.0434,39.0067],[-82.0433,39.0117],[-82.0421,39.0167],[-82.0397,39.0208],[-82.0361,39.0248],[-82.0278,39.0285],[-82.0203,39.0291],[-82.0096,39.0283],[-82.003,39.0262],[-81.9976,39.0236],[-81.9923,39.0201],[-81.9891,39.016],[-81.9846,39.0034],[-81.9828,39.0002],[-81.9807,38.9974],[-81.9779,38.9949],[-81.9759,38.9938],[-81.9721,38.9925],[-81.9636,38.9924],[-81.9502,38.9958],[-81.9454,38.9959],[-81.9412,38.9949],[-81.9369,38.9931],[-81.9345,38.9909],[-81.9315,38.9874],[-81.9276,38.9804],[-81.9234,38.9741],[-81.9198,38.9696],[-81.917,38.9654],[-81.9146,38.96],[-81.9123,38.9537],[-81.9061,38.9452],[-81.9025,38.939],[-81.9005,38.9349],[-81.8995,38.9318],[-81.9001,38.9286],[-81.9019,38.9255],[-81.9055,38.9214],[-81.9087,38.9183],[-81.9147,38.9129],[-81.9234,38.9059],[-81.9274,38.9],[-81.9281,38.8975],[-81.9282,38.8961],[-81.9279,38.8946],[-81.926,38.8919],[-81.9224,38.8879],[-81.9145,38.8825],[-81.9058,38.8779],[-81.8964,38.8747],[-81.8871,38.8739],[-81.8812,38.8758],[-81.8748,38.88],[-81.869,38.8832],[-81.8543,38.8939],[-81.8521,38.896],[-81.8465,38.903],[-81.8447,38.9066],[-81.8435,38.912],[-81.8428,38.917],[-81.8428,38.9212],[-81.842,38.9266],[-81.8412,38.9294],[-81.839,38.9335],[-81.8369,38.9363],[-81.8319,38.9414],[-81.828,38.9441],[-81.8236,38.946],[-81.8198,38.9461],[-81.8142,38.9453],[-81.8075,38.9425],[-81.8042,38.9399],[-81.7995,38.9349],[-81.786,38.9267],[-81.7814,38.9249],[-81.7754,38.9233],[-81.773,38.923],[-81.7676,38.923],[-81.7641,38.9245],[-81.7629,38.9252],[-81.7599,38.9279],[-81.7585,38.9311],[-81.7587,38.9351],[-81.7598,38.9383],[-81.7622,38.9406],[-81.7677,38.9468],[-81.7719,38.9504],[-81.7763,38.9557],[-81.778,38.9594],[-81.7791,38.9638],[-81.7784,38.9716],[-81.7761,38.9771],[-81.77,38.9859],[-81.7681,38.9893],[-81.7647,38.9935],[-81.7624,38.9977],[-81.7618,39.0001],[-81.7609,39.0068],[-81.761,39.0113],[-81.7623,39.0167],[-81.7637,39.0209],[-81.7667,39.0244],[-81.7721,39.0296],[-81.7793,39.0355],[-81.789,39.0423],[-81.7955,39.0464],[-81.8007,39.0514],[-81.8048,39.0582],[-81.8112,39.0728],[-81.8112,39.0768],[-81.8106,39.0799],[-81.8084,39.0831],[-81.806,39.0841],[-81.8031,39.0841],[-81.7998,39.0836],[-81.791,39.0808],[-81.7845,39.0794],[-81.7708,39.0798],[-81.7637,39.0816],[-81.7554,39.0854],[-81.7524,39.0874],[-81.748,39.0912],[-81.7446,39.0959],[-81.7418,39.1013],[-81.7408,39.1046],[-81.7397,39.1104],[-81.7403,39.1365],[-81.7412,39.1457],[-81.7434,39.1526],[-81.7505,39.1674],[-81.7521,39.1721],[-81.7525,39.1755],[-81.752,39.1819],[-81.7496,39.1848],[-81.7468,39.1874],[-81.7375,39.1934],[-81.7346,39.1966],[-81.7315,39.2034],[-81.7272,39.2103],[-81.7243,39.2135],[-81.7214,39.2159],[-81.7179,39.2172],[-81.712,39.2186],[-81.6999,39.2193],[-81.6935,39.2212],[-81.6912,39.2232],[-81.6897,39.2308],[-81.6893,39.2394],[-81.6899,39.2425],[-81.6925,39.2502],[-81.693,39.2538],[-81.6921,39.2575],[-81.6904,39.2607],[-81.6863,39.2657],[-81.6787,39.2713],[-81.6764,39.2727],[-81.6725,39.2742],[-81.669,39.2754],[-81.6583,39.2776],[-81.6504,39.2784],[-81.6357,39.2774],[-81.6321,39.2769],[-81.6274,39.2756],[-81.6227,39.2747],[-81.6087,39.2763],[-81.5959,39.2745],[-81.5841,39.2698],[-81.5743,39.2673],[-81.5716,39.267],[-81.5675,39.2682],[-81.5651,39.2706],[-81.5642,39.2747],[-81.5638,39.2774],[-81.5637,39.2832],[-81.563,39.2887],[-81.563,39.2955],[-81.5613,39.3091],[-81.5596,39.3154],[-81.5575,39.3268],[-81.5576,39.3304],[-81.5567,39.3354],[-81.5553,39.3399],[-81.5531,39.3441],[-81.5502,39.3473],[-81.5461,39.351],[-81.542,39.3542],[-81.5373,39.3565],[-81.5148,39.364],[-81.4995,39.3716],[-81.4941,39.3752],[-81.4881,39.3797],[-81.4831,39.3848],[-81.4715,39.3983],[-81.4645,39.4045],[-81.4585,39.4075],[-81.4531,39.4093],[-81.4479,39.4097],[-81.44,39.4092],[-81.4329,39.4073],[-81.4258,39.4037],[-81.4176,39.3977],[-81.4107,39.3899],[-81.4063,39.3821],[-81.4013,39.3699],[-81.399,39.3631],[-81.3968,39.3577],[-81.3938,39.3526],[-81.389,39.3478],[-81.3835,39.3438],[-81.3758,39.3416],[-81.3716,39.3408],[-81.3643,39.341],[-81.3571,39.3427],[-81.349,39.3451],[-81.339,39.3511],[-81.3278,39.3562],[-81.3127,39.3636],[-81.3097,39.3659],[-81.3024,39.3704],[-81.2947,39.3738],[-81.286,39.377],[-81.2812,39.3798],[-81.273,39.3831],[-81.2676,39.3836],[-81.257,39.3867],[-81.2498,39.3883],[-81.2409,39.3883],[-81.2321,39.3862],[-81.2201,39.3854],[-81.2159,39.3871],[-81.2135,39.3889],[-81.2111,39.3935],[-81.2085,39.402],[-81.2054,39.4093],[-81.2036,39.412],[-81.1897,39.4229],[-81.1824,39.4309],[-81.1778,39.4342],[-81.1691,39.4388],[-81.1554,39.4422],[-81.1404,39.4435],[-81.1357,39.4443],[-81.1309,39.4457],[-81.127,39.448],[-81.1236,39.4519],[-81.1135,39.4662],[-81.1053,39.4766],[-81.0983,39.4872],[-81.0866,39.4989],[-81.0737,39.5101],[-81.0642,39.5165],[-81.0524,39.5256],[-81.0472,39.5316],[-81.0415,39.5367],[-81.0242,39.5477],[-81.0194,39.5522],[-81.0131,39.5574],[-80.996,39.5701],[-80.9857,39.5782],[-80.9621,39.5942],[-80.9541,39.5992],[-80.9425,39.6076],[-80.9312,39.6141],[-80.9258,39.616],[-80.9216,39.6169],[-80.9086,39.617],[-80.8997,39.616],[-80.8943,39.6157],[-80.8895,39.6162],[-80.8836,39.6185],[-80.8783,39.6226],[-80.8753,39.6263],[-80.8711,39.6329],[-80.8685,39.6402],[-80.866,39.6492],[-80.8638,39.6631],[-80.8652,39.6776],[-80.8636,39.6871],[-80.8614,39.6917],[-80.8583,39.694],[-80.8552,39.6958],[-80.8517,39.6971],[-80.8414,39.7],[-80.8366,39.7019],[-80.8329,39.705],[-80.8299,39.7081],[-80.8286,39.7126],[-80.8292,39.716],[-80.8372,39.7273],[-80.8471,39.7383],[-80.8506,39.7416],[-80.863,39.7521],[-80.8674,39.76],[-80.868,39.7655],[-80.8668,39.7689],[-80.8637,39.7734],[-80.855,39.7801],[-80.8473,39.7845],[-80.833,39.7934],[-80.8283,39.7975],[-80.8253,39.8023],[-80.8235,39.8069],[-80.822,39.8166],[-80.8236,39.825],[-80.8269,39.8383],[-80.8268,39.8427],[-80.8253,39.8465],[-80.8229,39.8483],[-80.8201,39.8499],[-80.8012,39.8583],[-80.7933,39.8641],[-80.7909,39.8663],[-80.7883,39.8697],[-80.7878,39.873],[-80.7893,39.8799],[-80.791,39.8831],[-80.7946,39.8871],[-80.7981,39.8904],[-80.8037,39.8997],[-80.8056,39.905],[-80.8066,39.9087],[-80.8059,39.9123],[-80.8033,39.916],[-80.7991,39.9174],[-80.7925,39.9184],[-80.7883,39.9179],[-80.7841,39.917],[-80.77,39.9104],[-80.7648,39.9086],[-80.7618,39.9085],[-80.7582,39.909],[-80.7551,39.9107],[-80.7535,39.9141],[-80.7531,39.9193],[-80.7542,39.9227],[-80.7592,39.933],[-80.7616,39.9392],[-80.7632,39.9443],[-80.7634,39.9485],[-80.7618,39.9529],[-80.7581,39.9571],[-80.7516,39.9616],[-80.7466,39.9641],[-80.7409,39.969],[-80.7385,39.9731],[-80.7374,39.9772],[-80.7371,39.9821],[-80.7375,39.9875],[-80.7386,39.9934],[-80.7407,40.0084],[-80.7405,40.0148],[-80.739,40.0234],[-80.7321,40.0391],[-80.7308,40.0448],[-80.7305,40.0532],[-80.731,40.0568],[-80.7322,40.0602],[-80.7361,40.0673],[-80.7377,40.071],[-80.7383,40.0747],[-80.7371,40.0787],[-80.7342,40.0833],[-80.7315,40.0863],[-80.7272,40.0899],[-80.717,40.0968],[-80.7098,40.1021],[-80.7076,40.105],[-80.7062,40.11],[-80.7059,40.1227],[-80.7082,40.1281],[-80.7087,40.1345],[-80.7069,40.1439],[-80.7047,40.1525],[-80.7037,40.1556],[-80.7027,40.1571],[-80.7014,40.1612],[-80.6901,40.177],[-80.6811,40.1865],[-80.6775,40.191],[-80.6704,40.1984],[-80.6686,40.2024],[-80.6658,40.2111],[-80.664,40.222],[-80.6564,40.2415],[-80.6528,40.2462],[-80.6497,40.2498],[-80.6426,40.2543],[-80.6354,40.2566],[-80.63,40.2598],[-80.6252,40.2621],[-80.6204,40.2656],[-80.6172,40.2691],[-80.616,40.2737],[-80.6158,40.2783],[-80.6174,40.2869],[-80.6168,40.2888],[-80.6158,40.2911],[-80.6134,40.2952],[-80.6023,40.3112],[-80.6003,40.317],[-80.5991,40.322],[-80.6,40.3297],[-80.6054,40.3393],[-80.6093,40.3448],[-80.6109,40.3521],[-80.6098,40.3574],[-80.6062,40.3666],[-80.6056,40.3692],[-80.6069,40.376],[-80.6089,40.3798],[-80.6118,40.3819],[-80.616,40.3842],[-80.619,40.3854],[-80.6274,40.39],[-80.6291,40.3923],[-80.6294,40.3945],[-80.6282,40.3963],[-80.6252,40.3986],[-80.6204,40.4013],[-80.6162,40.4041],[-80.6131,40.4066],[-80.6122,40.4092],[-80.6117,40.412],[-80.6132,40.4247],[-80.6122,40.4349],[-80.6116,40.4375],[-80.6078,40.4455],[-80.6003,40.4576],[-80.597,40.4644],[-80.5957,40.4699],[-80.5956,40.4753],[-80.5973,40.4785],[-80.5978,40.4821],[-80.6,40.4863],[-80.6024,40.4899],[-80.6071,40.4945],[-80.6098,40.4977],[-80.6176,40.5083],[-80.6203,40.5165],[-80.6238,40.5251],[-80.6254,40.5333],[-80.6272,40.5361],[-80.6348,40.5457],[-80.6375,40.5499],[-80.6393,40.554],[-80.6423,40.5585],[-80.6459,40.5623],[-80.6581,40.5708],[-80.6626,40.5746],[-80.6649,40.5798],[-80.6653,40.5829],[-80.6644,40.5875],[-80.6616,40.5915],[-80.6596,40.5934],[-80.6504,40.6],[-80.6423,40.6071],[-80.6398,40.6102],[-80.6361,40.6135],[-80.6311,40.6168],[-80.6235,40.6208],[-80.6097,40.6252],[-80.6036,40.6264],[-80.5951,40.625],[-80.5833,40.6166],[-80.5792,40.6156],[-80.576,40.6156],[-80.566,40.6202],[-80.5606,40.624],[-80.5496,40.6298],[-80.5418,40.6321],[-80.5316,40.6339],[-80.5191,40.6385],[-80.519,40.4013]]]},\"properties\":{\"name\":\"Brooke\",\"state\":\"WV\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 East Parham Road<br>Richmond, Virginia 23228</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Groundwater Quality of the Ohio River Alluvial Aquifer</li><li>Water-Quality Indicators of Surface-Water Influence on Groundwater Wells</li><li>Discussion and Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":893050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connock, Gregory T. 0000-0002-7111-7551","orcid":"https://orcid.org/0000-0002-7111-7551","contributorId":293288,"corporation":false,"usgs":true,"family":"Connock","given":"Gregory","email":"","middleInitial":"T.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250590,"text":"fs20233031 - 2024 - The U.S. Geological Survey Water Resources Research Act Program—Meeting local, State, and national needs for water resources science and training","interactions":[],"lastModifiedDate":"2024-01-24T16:51:43.139336","indexId":"fs20233031","displayToPublicDate":"2024-01-24T10:15:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3031","displayTitle":"The U.S. Geological Survey Water Resources Research Act Program—Meeting Local, State, and National Needs for Water Resources Science and Training","title":"The U.S. Geological Survey Water Resources Research Act Program—Meeting local, State, and national needs for water resources science and training","docAbstract":"<h1>Introduction</h1><p>The U.S. Geological Survey (USGS) has a broad research portfolio that addresses water resource issues that are critical to our Nation’s prosperity and quality of life. Socioeconomics, geopolitical stressors, population growth, climate variability, and other factors provide challenges for the management of water resources. Working collaboratively with partners, the USGS observes and monitors water and water-related parameters, provides assessments, conducts targeted research, and delivers information to users. Residing within the USGS Water Resources Mission Area, the Water Resources Research Act (WRRA) Program is a Federal-State partnership that uses a matching grant program to plan, facilitate, and coordinate water resources research, training, and information transfer to help meet the Nation’s water science needs.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233031","usgsCitation":"Miller, M.P., Greene, E.A., and Williamson, T.N., 2024, The U.S. Geological Survey Water Resources Research Act Program—Meeting local, State, and national needs for water resources science and training: U.S. Geological Survey Fact Sheet 2023–3031, 4 p., https://doi.org/10.3133/fs20233031.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-132988","costCenters":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":423697,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3031/fs20233031.XML"},{"id":423696,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2023-3031"},{"id":423698,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3031/images/"},{"id":423694,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3031/coverthb.jpg"},{"id":423695,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3031/fs20233031.pdf","text":"Report","size":"6.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3031"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -130.67138671875,\n              54.686534234529695\n            ],\n            [\n              -129.9462890625,\n              55.36662484928637\n            ],\n            [\n              -130.1220703125,\n              56.145549500679074\n            ],\n            [\n              -131.9677734375,\n              56.9449741808516\n            ],\n            [\n              -135.3076171875,\n              59.833775202184206\n            ],\n            [\n              -136.38427734375,\n              59.65664225341022\n            ],\n            [\n              -136.6259765625,\n              59.23217626921806\n            ],\n            [\n              -137.52685546875,\n              58.938673187948304\n            ],\n            [\n              -137.65869140625,\n              59.33318942659219\n            ],\n            [\n              -138.8232421875,\n              60.009970961180386\n            ],\n            [\n              -139.21874999999997,\n              60.108670463036\n            ],\n            [\n              -139.04296875,\n              60.403001945865476\n            ],\n            [\n              -139.85595703125,\n              60.337823495982015\n            ],\n            [\n              -140.99853515625,\n              60.337823495982015\n            ],\n            [\n              -141.15234374999997,\n              69.71810669906763\n            ],\n            [\n              -143.4375,\n              70.17020068549206\n            ],\n            [\n              -145.1953125,\n              70.08056215839737\n            ],\n            [\n              -149.765625,\n              70.58341752317065\n            ],\n            [\n              -152.40234375,\n              70.61261423801925\n            ],\n            [\n              -152.314453125,\n              70.95969716686398\n            ],\n            [\n              -157.1484375,\n              71.35706654962706\n            ],\n            [\n              -159.9609375,\n              70.8734913192635\n            ],\n            [\n              -162.0703125,\n              70.31873847853124\n            ],\n            [\n              -163.916015625,\n              69.06856318696033\n            ],\n            [\n              -166.376953125,\n              68.942606818121\n            ],\n            [\n              -166.376953125,\n              68.26938680456564\n            ],\n            [\n              -163.30078125,\n              66.86108230224609\n            ],\n            [\n              -161.982421875,\n              66.47820814385636\n            ],\n            [\n              -163.564453125,\n              66.08936427047088\n            ],\n            [\n              -163.564453125,\n              66.6181218846659\n            ],\n            [\n              -165.76171875,\n              66.40795547978848\n            ],\n            [\n              -168.0908203125,\n              65.69447579373418\n            ],\n            [\n              -166.55273437499997,\n              65.14611484756372\n            ],\n            [\n              -166.904296875,\n              65.05360170595502\n            ],\n            [\n              -166.3330078125,\n              64.41592147626879\n            ],\n            [\n              -162.861328125,\n              64.39693778132846\n            ],\n            [\n              -160.927734375,\n              64.90491004905083\n            ],\n            [\n              -161.0595703125,\n              64.47279382008166\n            ],\n            [\n              -161.4990234375,\n              64.49172504435471\n            ],\n            [\n              -160.8837890625,\n              63.87939001720202\n            ],\n            [\n              -161.1474609375,\n              63.470144746565424\n            ],\n            [\n              -162.6416015625,\n              63.64625919492172\n            ],\n            [\n              -163.212890625,\n              63.05495931065107\n            ],\n            [\n              -164.2236328125,\n              63.37183226679281\n            ],\n            [\n              -166.1572265625,\n              61.75233128411639\n            ],\n            [\n              -165.3662109375,\n              60.54377524118842\n            ],\n            [\n              -167.431640625,\n              60.326947742998414\n            ],\n            [\n              -167.255859375,\n              59.866883195210214\n            ],\n            [\n              -165.8935546875,\n              59.7563950493563\n            ],\n            [\n              -162.68554687499997,\n              59.734253447591364\n            ],\n            [\n              -162.3779296875,\n              60.174306261926034\n            ],\n            [\n              -161.806640625,\n              59.46740794183739\n            ],\n            [\n              -162.0263671875,\n              59.108308258604964\n            ],\n            [\n              -161.806640625,\n              58.768200159239576\n            ],\n            [\n              -162.20214843749997,\n              58.65408464530598\n            ],\n            [\n              -160.83984375,\n              58.44773280389084\n            ],\n            [\n              -159.9609375,\n              58.6769376725869\n            ],\n            [\n              -159.08203125,\n              58.309488840677645\n            ],\n            [\n              -156.88476562499997,\n              58.92733441827545\n            ],\n            [\n              -157.5,\n              58.516651799363785\n            ],\n            [\n              -157.8076171875,\n              57.61010702068388\n            ],\n            [\n              -161.54296875,\n              56.022948079627454\n            ],\n            [\n              -168.6181640625,\n              53.4357192066942\n            ],\n            [\n              -174.9462890625,\n              52.26815737376817\n            ],\n            [\n              -178.2421875,\n              51.83577752045248\n            ],\n            [\n              -173.1884765625,\n              51.590722643120145\n            ],\n            [\n              -162.5537109375,\n              54.23955053156177\n            ],\n            [\n              -155.302734375,\n              55.52863052257191\n            ],\n            [\n              -151.4794921875,\n              57.51582286553883\n            ],\n            [\n              -146.9970703125,\n              60.08676274626006\n            ],\n            [\n              -145.546875,\n              60.21799073323445\n            ],\n            [\n              -144.228515625,\n              59.689926220143356\n            ],\n            [\n              -142.3828125,\n              59.93300042374631\n            ],\n            [\n              -138.3837890625,\n              58.83649009392136\n            ],\n            [\n              -135.6591796875,\n              56.31653672211301\n            ],\n            [\n              -133.2421875,\n              54.521081495443596\n            ],\n            [\n              -130.67138671875,\n              54.686534234529695\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.796875,\n              44.902577996288876\n            ],\n            [\n              -67.67578124999999,\n              45.583289756006316\n            ],\n            [\n              -67.939453125,\n              47.57652571374621\n            ],\n            [\n              -69.2578125,\n              47.338822694822\n            ],\n            [\n              -71.19140625,\n              45.27488643704891\n            ],\n            [\n              -75.146484375,\n              44.96479793033101\n            ],\n            [\n              -78.046875,\n              43.644025847699496\n            ],\n            [\n              -79.1015625,\n              43.51668853502906\n            ],\n            [\n              -79.1015625,\n              42.87596410238256\n            ],\n            [\n              -82.68310546875,\n              41.65649719441145\n            ],\n            [\n              -83.14453125,\n              42.049292638686836\n            ],\n            [\n              -83.07861328125,\n              42.374778361114195\n            ],\n            [\n              -82.529296875,\n              42.601619944327965\n            ],\n            [\n              -82.24365234375,\n              43.6599240747891\n            ],\n            [\n              -82.41943359375,\n              45.058001435398275\n            ],\n            [\n              -83.60595703125,\n              45.85941212790755\n            ],\n            [\n              -83.49609375,\n              46.027481852486645\n            ],\n            [\n              -83.7158203125,\n              46.164614496897094\n            ],\n            [\n              -83.95751953125,\n              46.07323062540835\n            ],\n            [\n              -84.24316406249999,\n              46.558860303117164\n            ],\n            [\n              -84.72656249999999,\n              46.558860303117164\n            ],\n            [\n              -84.90234375,\n              46.92025531537451\n            ],\n            [\n              -88.41796875,\n              48.3416461723746\n            ],\n            [\n              -89.3408203125,\n              47.96050238891509\n            ],\n            [\n              -90.76904296874999,\n              48.122101028190805\n            ],\n            [\n              -90.87890625,\n              48.22467264956519\n            ],\n            [\n              -91.51611328125,\n              48.10743118848039\n            ],\n            [\n              -92.2412109375,\n              48.37084770238366\n            ],\n            [\n              -92.39501953125,\n              48.23930899024907\n            ],\n            [\n              -92.94433593749999,\n              48.61838518688487\n            ],\n            [\n              -93.44970703125,\n              48.63290858589535\n            ],\n            [\n              -94.7021484375,\n              48.748945343432936\n            ],\n            [\n              -94.833984375,\n              49.23912083246698\n            ],\n            [\n              -95.1416015625,\n              49.396675075193976\n            ],\n            [\n              -95.20751953125,\n              49.009050809382046\n            ],\n            [\n              -123.22265625000001,\n              48.99463598353405\n            ],\n            [\n              -123.0908203125,\n              48.80686346108517\n            ],\n            [\n              -123.24462890625,\n              48.66194284607006\n            ],\n            [\n              -123.1787109375,\n              48.32703913063476\n            ],\n            [\n              -124.78271484375,\n              48.472921272487824\n            ],\n            [\n              -124.93652343749999,\n              48.16608541901253\n            ],\n            [\n              -124.365234375,\n              46.58906908309182\n            ],\n            [\n              -124.541015625,\n              44.15068115978094\n            ],\n            [\n              -124.93652343749999,\n              42.69858589169842\n            ],\n            [\n              -124.541015625,\n              41.22824901518529\n            ],\n            [\n              -124.73876953125,\n              40.43022363450862\n            ],\n            [\n              -124.03564453125,\n              39.35129035526705\n            ],\n            [\n              -124.01367187499999,\n              38.8225909761771\n            ],\n            [\n              -122.05810546875,\n              36.12012758978146\n            ],\n            [\n              -120.95947265624999,\n              34.88593094075317\n            ],\n            [\n              -120.80566406250001,\n              34.08906131584994\n            ],\n            [\n              -118.21289062499999,\n              32.2313896627376\n            ],\n            [\n              -117.22412109375,\n              32.54681317351514\n            ],\n            [\n              -114.78515624999999,\n              32.713355353177555\n            ],\n            [\n              -114.78515624999999,\n              32.491230287947594\n            ],\n            [\n              -110.98388671874999,\n              31.3348710339506\n            ],\n            [\n              -108.21533203125,\n              31.297327991404266\n            ],\n            [\n              -108.2373046875,\n              31.765537409484374\n            ],\n            [\n              -106.435546875,\n              31.765537409484374\n            ],\n            [\n              -104.9853515625,\n              30.600093873550072\n            ],\n            [\n              -104.47998046875,\n              29.592565403314087\n            ],\n            [\n              -103.20556640625,\n              28.94086176940557\n            ],\n            [\n              -102.65625,\n              29.76437737516313\n            ],\n            [\n              -102.3486328125,\n              29.84064389983441\n            ],\n            [\n              -101.49169921875,\n              29.7453016622136\n            ],\n            [\n              -100.83251953125,\n              29.267232865200878\n            ],\n            [\n              -100.30517578125,\n              28.246327971048842\n            ],\n            [\n              -99.60205078124999,\n              27.586197857692664\n            ],\n            [\n              -99.47021484375,\n              27.31321389856826\n            ],\n            [\n              -99.228515625,\n              26.52956523826758\n            ],\n            [\n              -98.2177734375,\n              26.05678288577881\n            ],\n            [\n              -97.75634765625,\n              26.03704188651584\n            ],\n            [\n              -97.44873046875,\n              25.839449402063185\n            ],\n            [\n              -97.20703125,\n              25.93828707492375\n            ],\n            [\n              -96.8994140625,\n              26.194876675795218\n            ],\n            [\n              -96.78955078125,\n              27.858503954841247\n            ],\n            [\n              -93.75732421875,\n              29.420460341013133\n            ],\n            [\n              -90.2197265625,\n              28.998531814051795\n            ],\n            [\n              -88.22021484375,\n              29.05616970274342\n            ],\n            [\n              -87.91259765625,\n              30.14512718337613\n            ],\n            [\n              -86.5283203125,\n              30.183121842195515\n            ],\n            [\n              -85.2978515625,\n              29.49698759653577\n            ],\n            [\n              -84.13330078125,\n              29.80251790576445\n            ],\n            [\n              -82.81494140625,\n              28.555576049185973\n            ],\n            [\n              -83.21044921875,\n              27.800209937418252\n            ],\n            [\n              -82.77099609375,\n              26.941659545381516\n            ],\n            [\n              -82.08984375,\n              25.878994400196202\n            ],\n            [\n              -81.5625,\n              25.264568475331583\n            ],\n            [\n              -82.28759765625,\n              24.467150664739002\n            ],\n            [\n              -82.0458984375,\n              24.046463999666567\n            ],\n            [\n              -80.6396484375,\n              24.56710835257599\n            ],\n            [\n              -79.78271484375,\n              25.34402602913433\n            ],\n            [\n              -79.60693359375,\n              27.27416111737468\n            ],\n            [\n              -80.68359375,\n              30.713503990354965\n            ],\n            [\n              -80.66162109375,\n              31.50362930577303\n            ],\n            [\n              -76.81640625,\n              34.07086232376631\n            ],\n            [\n              -75.16845703124999,\n              35.263561862152095\n            ],\n            [\n              -75.498046875,\n              37.055177106660814\n            ],\n            [\n              -73.58642578125,\n              39.90973623453719\n            ],\n            [\n              -71.3671875,\n              40.84706035607122\n            ],\n            [\n              -69.63134765625,\n              40.9964840143779\n            ],\n            [\n              -70.0048828125,\n              42.342305278572816\n            ],\n            [\n              -70.3564453125,\n              42.89206418807337\n            ],\n            [\n              -67.2802734375,\n              44.37098696297173\n            ],\n            [\n              -67.0166015625,\n              44.69989765840318\n            ],\n            [\n              -66.796875,\n              44.902577996288876\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.56640625,\n              18.771115062337024\n            ],\n            [\n              -154.68749999999997,\n              19.642587534013032\n            ],\n            [\n              -156.9287109375,\n              21.453068633086783\n            ],\n            [\n              -159.521484375,\n              22.43134015636061\n            ],\n            [\n              -160.5322265625,\n              21.983801417384697\n            ],\n            [\n              -159.9609375,\n              21.207458730482642\n            ],\n            [\n              -158.291015625,\n              20.92039691397189\n            ],\n            [\n              -156.97265625,\n              19.932041306115536\n            ],\n            [\n              -155.9619140625,\n              18.8543103618898\n            ],\n            [\n              -155.56640625,\n              18.771115062337024\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.060546875,\n              18.020527657852337\n            ],\n            [\n              -66.2255859375,\n              17.916022703877665\n            ],\n            [\n              -65.6103515625,\n              17.97873309555617\n            ],\n            [\n              -65.2587890625,\n              18.124970639386515\n            ],\n            [\n              -65.5224609375,\n              18.458768120015126\n            ],\n            [\n              -66.11572265625,\n              18.542116654448996\n            ],\n            [\n              -66.95068359374999,\n              18.60460138845525\n            ],\n            [\n              -67.34619140625,\n              18.542116654448996\n            ],\n            [\n              -67.2802734375,\n              17.99963161491187\n            ],\n            [\n              -67.060546875,\n              18.020527657852337\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              144.82761452595645,\n              13.685098309944664\n            ],\n            [\n              144.53957451709158,\n              13.388158227179332\n            ],\n            [\n              144.69761325580046,\n              13.213431668228338\n            ],\n            [\n              144.96451647899016,\n              13.26667259939299\n            ],\n            [\n              145.00410356425527,\n              13.62612008846996\n            ],\n            [\n              144.82761452595645,\n              13.685098309944664\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -65.03427585051062,\n              18.389960764260238\n            ],\n            [\n              -64.96151774352266,\n              17.659349964002757\n            ],\n            [\n              -64.51041748019621,\n              17.692624546441806\n            ],\n            [\n              -64.6617543427315,\n              18.362344583862537\n            ],\n            [\n              -65.03427585051062,\n              18.389960764260238\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/programs/water-resources-research-act-program\" data-mce-href=\"https://www.usgs.gov/programs/water-resources-research-act-program\">Water Resources Research Act Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Overview</li><li>Research</li><li>Training and Workforce Development</li><li>Information Transfer</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-01-24","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Mark P. 0000-0003-1045-1772 mpmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-1045-1772","contributorId":1967,"corporation":false,"usgs":true,"family":"Miller","given":"Mark","email":"mpmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":890477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greene, Earl A. 0000-0002-9479-0829 eagreene@usgs.gov","orcid":"https://orcid.org/0000-0002-9479-0829","contributorId":3518,"corporation":false,"usgs":true,"family":"Greene","given":"Earl","email":"eagreene@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":890478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252048,"text":"70252048 - 2024 - A framework to facilitate development and testing of image-based river velocimetry algorithms","interactions":[],"lastModifiedDate":"2025-02-04T14:19:00.286693","indexId":"70252048","displayToPublicDate":"2024-01-24T10:03:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"A framework to facilitate development and testing of image-based river velocimetry algorithms","docAbstract":"<p><span>Image-based methods have compelling, demonstrated potential for characterizing flow fields in rivers, but algorithms like particle image velocimetry (PIV) must be further tested and improved to enable more effective use of these techniques. This paper presents a framework designed for this exact purpose: Simulating Hydraulics and Images for Velocimetry Evaluation and Refinement (SHIVER). The approach involves coupling a hydrodynamic model with a synthetic particle generator to advect particles between frames, as dictated by local velocity vectors and thus construct a plausible image sequence specific to the reach of interest. The resulting time series can then be used as input to a velocimetry algorithm to compare image-derived estimates with known (modelled) velocities to perform an exhaustive, spatially distributed accuracy assessment. As an example application of SHIVER, we examined the effects of interrogation area (IA) size, frame rate, flow velocity, and image sequence duration on the performance of a standard PIV algorithm. This analysis indicated that image-derived velocities were generally in close agreement with those from the flow model (root mean square error &lt;10% and mean bias &lt;3%), except when small IAs were coupled with low frame rates. Velocity estimates were most accurate for the lowest modelled discharge ( <i>R</i><sup>2</sup></span>=0.97<span>&nbsp;at baseflow) and became less reliable as the mean flow velocity increased ( <i>R</i></span><sup>2</sup>=0.92<span>&nbsp;for an intermediate discharge and <i>R</i><sup>2</sup></span>=0.86<span>&nbsp;at bankfull). Accuracy was essentially independent of image sequence duration, implying that long occupations might not be necessary. Errors were concentrated along channel margins, where PIV-based velocities tended to be greater than those from the flow model. Small IAs led to underpredictions of velocity, while larger IAs led to overpredictions. SHIVER is highly modular and could be updated to make use of different hydrodynamic models or image simulators. The framework could also facilitate more thorough sensitivity analyses and comparison of various velocimetry algorithms.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5772","usgsCitation":"Legleiter, C.J., and Kinzel, P.J., 2024, A framework to facilitate development and testing of image-based river velocimetry algorithms: Earth Surface Processes and Landforms, v. 49, no. 4, p. 1361-1382, https://doi.org/10.1002/esp.5772.","productDescription":"22 p.; Data Release","startPage":"1361","endPage":"1382","ipdsId":"IP-155622","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":435057,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9C19Z0S","text":"USGS data release","linkHelpText":"Hydrodynamic model output and image simulation code for evaluating image-based river velocimetry from a case study on the Sacramento River near Glenn, California"},{"id":426555,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":481611,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/ja/70252048/70252048.pdf","text":"USGS accepted manuscript","size":"2.85 MB","linkFileType":{"id":1,"text":"pdf"},"description":"USGS accepted manuscript"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":896387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":896388,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70253131,"text":"70253131 - 2024 - Macroscale controls determine the recovery of river ecosystem productivity following flood disturbances","interactions":[],"lastModifiedDate":"2024-04-19T12:21:26.738112","indexId":"70253131","displayToPublicDate":"2024-01-24T07:19:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Macroscale controls determine the recovery of river ecosystem productivity following flood disturbances","docAbstract":"<div>River ecosystems rely on varied flows, including regular floods, to provide food and habitat for aquatic organisms. However, flows of freshwater are becoming increasingly managed for irrigation, industry, and other human activities, and the frequency of floods is changing. Our study used time-series data of photosynthesis from 143 rivers across the United States and developed a modeling framework to examine how algae, the base of most riverine food webs, recovered following scouring disturbance during floods. We found that algae in wider rivers recovered more quickly following disturbance (e.g., removal from the bottom) but that the flow thresholds at which algae is disturbed are likely more strongly influenced by site-specific characteristics.</div>","language":"English","publisher":"Proceedings of the National Academy of Sciences of the United States of America","doi":"10.1073/pnas.2307065121","usgsCitation":"Lowman, H., Shriver, R.K., Hall, R.O., Harvey, J., Savoy, P., Yackulic, C., and Blaszczak, J., 2024, Macroscale controls determine the recovery of river ecosystem productivity following flood disturbances: Proceedings of the National Academy of Sciences, v. 121, no. 5, e2307065121, https://doi.org/10.1073/pnas.2307065121.","productDescription":"e2307065121","ipdsId":"IP-155408","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":440632,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.2307065121","text":"External Repository"},{"id":427945,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowman, Heili","contributorId":335690,"corporation":false,"usgs":false,"family":"Lowman","given":"Heili","email":"","affiliations":[{"id":80470,"text":"Department of Natural Resources and Environmental Science, University of Nevada Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":899225,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shriver, Robert K.","contributorId":335691,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","email":"","middleInitial":"K.","affiliations":[{"id":68642,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT","active":true,"usgs":false}],"preferred":false,"id":899226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Robert O. Jr.","contributorId":203473,"corporation":false,"usgs":false,"family":"Hall","given":"Robert","suffix":"Jr.","email":"","middleInitial":"O.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":899227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":899228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":899229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":899230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blaszczak, Joanna R.","contributorId":335692,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna R.","affiliations":[{"id":80470,"text":"Department of Natural Resources and Environmental Science, University of Nevada Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":899231,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251384,"text":"70251384 - 2024 - Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications","interactions":[],"lastModifiedDate":"2024-02-08T13:12:51.55946","indexId":"70251384","displayToPublicDate":"2024-01-24T07:11:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications","docAbstract":"<div class=\"html-p\">Remote sensing (RS) techniques are essential for studying hazardous landslide events because they capture information and monitor sites at scale. They enable analyzing causes and impacts of ongoing events for disaster management. There has been a plethora of work in the literature mostly discussing (1) applications to detect, monitor, and predict landslides using various instruments and image analysis techniques, (2) methodological mechanics in using optical and microwave sensing, and (3) quantification of surface geological and geotechnical changes using 2D images. Recently, studies have shown that the degree of hazard is mostly influenced by speed, type, and volume of surface deformation. Despite available techniques to process lidar and image/radar-derived 3D geometry, prior works mostly focus on using 2D images, which generally lack details on the 3D aspects of assessment. Thus, assessing the 3D geometry of terrain using elevation/depth information is crucial to determine its cover, geometry, and 3D displacements. In this review, we focus on 3D landslide analysis using RS data. We include (1) a discussion on sources, types, benefits, and limitations of 3D data, (2) the recent processing methods, including conventional, fusion-based, and artificial intelligence (AI)-based methods, and (3) the latest applications.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs16030455","usgsCitation":"Albanwan, H., Qin, R., and Liu, J., 2024, Remote sensing-based 3D assessment of landslides: A review of the data, methods, and applications: Remote Sensing, v. 16, no. 3, 455, 23 p., https://doi.org/10.3390/rs16030455.","productDescription":"455, 23 p.","ipdsId":"IP-158617","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":440635,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16030455","text":"Publisher Index Page"},{"id":425506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Albanwan, Hessah","contributorId":333938,"corporation":false,"usgs":false,"family":"Albanwan","given":"Hessah","email":"","affiliations":[{"id":80020,"text":"Kuwait University","active":true,"usgs":false}],"preferred":false,"id":894363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qin, Rongjun","contributorId":333939,"corporation":false,"usgs":false,"family":"Qin","given":"Rongjun","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":894364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jung-Kuan 0000-0001-8461-8200","orcid":"https://orcid.org/0000-0001-8461-8200","contributorId":333940,"corporation":false,"usgs":true,"family":"Liu","given":"Jung-Kuan","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":894365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251161,"text":"70251161 - 2024 - Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques","interactions":[],"lastModifiedDate":"2024-03-12T13:21:07.21717","indexId":"70251161","displayToPublicDate":"2024-01-24T07:10:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Two independent machine learning techniques, boosted regression trees and artificial neural networks, were used to examine the physicochemical and meteorological variables that affect the seasonal growth and decline of harmful algal blooms (HABs) in a shallow, hypereutrophic lake in southern Oregon. High temporal resolution data collected at four monitoring locations were aggregated into daily timesteps to create two response variables: (1) daily maximum pH (pH<sub>max</sub>), representing HAB growth, and (2) daily minimum dissolved oxygen (DO<sub>min</sub>), representing HAB decline. Predictors included meteorological and physical data, estimates of external phosphorus loading, and previous-year average nutrient concentrations, and excluded HAB biomass and internal phosphorus loading. The predictors that captured seasonal changes in both pH<sub>max</sub><span>&nbsp;</span>and DO<sub>min</sub><span>&nbsp;</span>were temperature, inflows, lake-surface elevation, and external phosphorus loading, while short-term changes were captured by measures of stratification, temperature, and wind speed. The pH<sub>max</sub><span>&nbsp;</span>models had similar fits with leave-one-year-out cross-validation (LOYO-CV)<span>&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;</span>values of 0.2–0.43 (median = 0.40). The DO<sub>min</sub><span>&nbsp;</span>models for the deeper locations had LOYO-CV<span>&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;</span>values of 0.27–0.43 compared to 0.1–0.25 for the shallower locations. Model performance was affected by variability due to patchiness of HABs, measurement uncertainty, and advection.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.3c00299","usgsCitation":"Wherry, S., and Schenk, L.N., 2024, Examining the effect of physicochemical and meteorological variables on water quality indicators of harmful algal blooms in a shallow hypereutrophic lake using machine learning techniques: Water, v. 4, no. 3, p. 1073-1082, https://doi.org/10.1021/acsestwater.3c00299.","productDescription":"10 p.; Data Release","startPage":"1073","endPage":"1082","ipdsId":"IP-135772","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":440637,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.3c00299","text":"Publisher Index Page"},{"id":435058,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P971MB6W","text":"USGS data release","linkHelpText":"Input and results from boosted regression tree and artificial neural network models that predict daily maximum pH and daily minimum dissolved oxygen in Upper Klamath Lake, 2005-2019"},{"id":424951,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wherry, Susan 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":140159,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893308,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}