{"pageNumber":"165","pageRowStart":"4100","pageSize":"25","recordCount":185177,"records":[{"id":70257042,"text":"sir20245022 - 2024 - Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","interactions":[],"lastModifiedDate":"2026-02-03T18:05:12.063702","indexId":"sir20245022","displayToPublicDate":"2024-08-13T11:55:00","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":"2024-5022","displayTitle":"Monitoring and Simulation of Hydrology, Suspended Sediment, and Nutrients in Selected Tributary Watersheds of Lake Erie, New York","title":"Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative, collected water-quality samples in nine selected New York tributaries to Lake Erie, computed estimates of suspended sediment and nutrient loads using the R scripting package rloadest and used the Soil and Water Assessment Tool (SWAT) to simulate hydrology and suspended sediment and nutrient loads from these tributaries. This project was undertaken to better understand the water quality of New York’s inputs into eastern Lake Erie.</p><p>Water-quality samples for suspended sediment, nitrogen, and phosphorus were collected at 19 sampling sites in the Lake Erie Basin in New York. Daily and monthly suspended sediment and nutrient loads were computed with regressions of streamflow and suspended sediment and nutrient concentrations using rloadest.</p><p>SWAT models of nine watersheds were created using publicly available data; and the loads calculated by rloadest. Twenty-six SWAT model scenarios were created to explore the effects that best management practices (BMPs; 21 scenarios), point source discharges (4 scenarios), and green infrastructure (1 scenario) can have on the water quality of the nine tributaries to Lake Erie. BMP scenarios for the watershed models included combinations of agricultural BMPs applied at varying implementation levels across the study watersheds, including cover crops, reduced tillage, nutrient management plans, and filter strips. The BMP scenarios showed small reductions of total nitrogen and total phosphorus. The scenarios have variable suspended sediment load results, with both increases and decreases of sediment modeled. The point source scenarios result in lower total phosphorus loads. The green infrastructure scenario shows only minimal reduction of suspended sediment and nutrient loads from the Buffalo River watershed but shows substantial reductions locally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245022","collaboration":"Prepared in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative","usgsCitation":"Merriman, K.R., Fisher, B.N., Nystrom, E.A., Bunch, A.R., Welk, R.J., and Kappel, W.M., 2024, Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York: U.S. Geological Survey Scientific Investigations Report 2024–5022, 152 p., https://doi.org/10.3133/sir20245022.","productDescription":"Report: xii, 152 p.; 2 Data 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and Validation</li><li>SWAT Model Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sensitivity Analysis of Soil and Water Assessment Tool Model Parameters</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257115,"text":"dr1199 - 2024 - Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","interactions":[],"lastModifiedDate":"2026-01-27T17:33:44.344417","indexId":"dr1199","displayToPublicDate":"2024-08-13T11:41:16","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1199","displayTitle":"Developing Version 2 of Satellite-Estimated Precipitation Monthly Reports for Selected Locations in the Republic of the Marshall Islands","title":"Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","docAbstract":"The Republic of the Marshall Islands (RMI; also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. The study objectives and methods were originally presented in U.S. Geological Survey Data Report 1181 and are summarized herein. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. In 2022–23, a team of U.S. Geological Survey scientists, and managers of natural resources and natural hazards in the RMI, used Integrated Multi-satellitE Retrievals for Global Precipitation Measurement satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands. After a year of report production and user feedback, the team incorporated lessons learned and revised user priorities to update the content and layout of the template. This data report describes the collaboration process and results of revising the report content and layout into version 2 of the monthly satellite-estimated precipitation report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1199","usgsCitation":"Senay, G.B., Helweg, D.A., Kagone, S., Cecere, T., Eastmond, T., Koch, A., Nelson, K., and Jack, R., 2024, Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands: U.S. Geological Survey Data Report 1199, 5 p., https://doi.org/10.3133/dr1199.","productDescription":"Repoort: v, 5 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165909","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":499109,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117173.htm","linkFileType":{"id":5,"text":"html"}},{"id":432440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1199/full"},{"id":432439,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1199/images/"},{"id":432434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1199/coverthb.jpg"},{"id":432441,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J1426","text":"USGS data release","linkHelpText":"Monthly satellite-estimated precipitation reports for the Republic of the Marshall Islands (ver. 2.0, February 2024)"},{"id":432436,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.XML"},{"id":432435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.pdf","text":"Report","size":"793 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1199"}],"otherGeospatial":"Marshall Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.8861369517378,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              13.791877936345344\n            ]\n      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,{"id":70263804,"text":"70263804 - 2024 - Fish size structures in lakes of the Lower Mississippi River floodplain","interactions":[],"lastModifiedDate":"2025-02-25T15:18:18.696211","indexId":"70263804","displayToPublicDate":"2024-08-13T09:13:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fish size structures in lakes of the Lower Mississippi River floodplain","docAbstract":"<ol class=\"\"><li>The Lower Mississippi River has a floodplain that includes &gt;1350 perennial lakes carved by shifts in river courses and other hydro-fluvial processes over eons. Notwithstanding their similar provenances, these waterbodies exhibit an immense variety of morphologies and successional stages that illustrate their natural trajectory from aquatic to forested wetlands. A result of this geographical, morphological and temporal diversity is dynamic and varied fish communities. We examined how size structures of fish communities in these floodplain lakes were associated with key in-lake and off-lake environmental drivers.</li><li>Fish lengths were collected with standardised procedures in a sample of 30 of these lakes to construct a lake-by-length group matrix. Likewise, in-lake and off-lake environmental descriptors were collected to construct a lake-by-covariate matrix. Distance-based linear models were used to assess associations between fish size structure and environmental descriptors.</li><li>Smaller fish were typically associated with increasing levels of turbidity, chlorophyll-<i>a</i>, phycocyanin and surrounding agriculture. Shallow, hypereutrophic floodplain lakes associated with agricultural landscapes and reduced connectivity experience harsh physicochemical environments. These conditions appeared to hinder the formation of sustained fish communities but may confer a survival advantage to juveniles or small short-lived species. Conversely, larger fish were associated with increasing lake depth, water clarity, connectivity, and extent of surrounding forests-wetlands. Enhanced stability and size structure were observed in communities residing in deeper and clearer lakes, suggesting that these conditions facilitated the development of longer-lived species spanning multiple age groups. The enhanced connectivity that facilitated this increased stability also permitted the presence of larger itinerant species.</li><li>Size-structure assessments can serve as a valuable ecological and biodiversity indicator in floodplain lakes.</li><li>Size-structure assessments could supplement and, depending on objectives, even supplant conventional taxonomic analyses, and enhance surveillance of this vast and important natural resource.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14313","usgsCitation":"Miranda, L.E., and Dembkowski, D., 2024, Fish size structures in lakes of the Lower Mississippi River floodplain: Freshwater Biology, v. 69, no. 10, p. 1390-1398, https://doi.org/10.1111/fwb.14313.","productDescription":"9 p.","startPage":"1390","endPage":"1398","ipdsId":"IP-161581","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ],\n            [\n              -90.97390221584965,\n              37.04144127940464\n            ],\n            [\n              -92.58621074174947,\n              33.10588945297861\n            ],\n            [\n              -92.45243908525825,\n              29.099651301594108\n            ],\n            [\n              -89.06436076922489,\n              29.11098036129748\n            ],\n            [\n              -89.09009988261171,\n              32.8776191962395\n            ],\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dembkowski, D.J.","contributorId":351300,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":928354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257572,"text":"70257572 - 2024 - Large-scale dam removal and ecosystem restoration","interactions":[],"lastModifiedDate":"2024-09-10T13:17:13.749365","indexId":"70257572","displayToPublicDate":"2024-08-13T08:13:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal and ecosystem restoration","docAbstract":"<p><span>Rivers underpin vital ecosystems that support aquatic and terrestrial biodiversity and many ecosystem services, including food, water, culture, and recreation (</span>Dudgeon et al. 2006<span>). After centuries of building dams on rivers across the world, river restoration via dam removal is receiving increased public attention, financial investment, and scientific study because of various issues of regarding dam infrastructure, such as obsolescence, sedimentation, and ecosystem degradation (</span>Duda and Bellmore, 2022<span>;&nbsp;</span>East and Grant, 2023<span>). Most dam removal projects to date have focused on smaller structures, but larger structures &gt; 10 m tall have also started to be removed in increasing numbers. Recent estimates suggest that only a small fraction of all dam removals have been scientifically studied, with most focused on small dams and short time scales (</span>Bellmore et&nbsp;al., 2016<span>). Understanding the outcomes of large dam removal, where case studies are much more limited, depends on sustained research and monitoring efforts aimed at understanding restoration processes over large spatial and temporal scales (</span>Figure&nbsp;1<span>). The ecological and socio-ecological study of large dam removal represents a new frontier in dam removal research: projects are larger, more recent, and provide an opportunity to understand the complex ecological changes and impacts to humans that occur with these transformative restoration projects.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2024.1471146","usgsCitation":"McCaffery, R.M., Duda, J.J., Soissons, L., and Roussel, J., 2024, Large-scale dam removal and ecosystem restoration: Frontiers in Ecology and Evolution, v. 12, 1471146, 6 p., https://doi.org/10.3389/fevo.2024.1471146.","productDescription":"1471146, 6 p.","ipdsId":"IP-167494","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1471146","text":"Publisher Index Page"},{"id":433658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":910888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":910889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soissons, Laura","contributorId":343380,"corporation":false,"usgs":false,"family":"Soissons","given":"Laura","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussel, Jean-Marc","contributorId":343381,"corporation":false,"usgs":false,"family":"Roussel","given":"Jean-Marc","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257296,"text":"70257296 - 2024 - Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-10-30T21:41:50.825406","indexId":"70257296","displayToPublicDate":"2024-08-13T06:49:56","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":"Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","docAbstract":"<p>Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to widespread debris flows in the watershed of Rito de los Frijoles. We differenced lidar Digital Elevation Models (DEMs) collected in 2010 and 2016 to map subwatersheds experiencing debris flows and changes in elevation of the trunk stream. Debris flow occurrence was well predicted by previous assessments of debris-flow hazard; debris flows occurred in 7 of 9 sub-basins where the debris-flow hazard was above 60% for the 25-year rainfall event, and in 0 of 21 basins where debris flow hazard was less than 60%. Debris flows resulted in fan deposition at the confluence with the trunk stream followed by transport during three documented floods. The bed of the 22 km trunk stream increased in elevation by a mean of 0.29 m, but the local change in thalweg elevation was controlled by inputs of water and sediment and longitudinal variation in gradient. Downstream of the mouths of tributaries with debris flows, the thalweg of the trunk stream rose as much as 2&nbsp;m. Downstream of the mouths of tributaries without debris flows the thalweg of the main stem degraded by as much as 2&nbsp;m, mobilizing sediment that was then deposited further downstream where the gradient of the trunk stream decreases. In conclusion, the transport of sediment generated by debris flows was predictably related to spatial variation in sediment supply, discharge and gradient.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5964","usgsCitation":"Friedman, J.M., Tillery, A.C., Alfieri, S.J., Skaggs, E.R., Shafroth, P., and Allen, C., 2024, Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA: Earth Surface Processes and Landforms, v. 49, no. 13, p. 4263-4274, https://doi.org/10.1002/esp.5964.","productDescription":"12 p.; Data Release","startPage":"4263","endPage":"4274","ipdsId":"IP-156621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":499236,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5964","text":"Publisher Index Page"},{"id":434915,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RFRU9T","text":"USGS data release","linkHelpText":"Elevation change in the watershed of Rito de los Frijoles, Bandelier National Monument, New Mexico from 2010 to 2016"},{"id":432752,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfieri, Samuel J.","contributorId":329742,"corporation":false,"usgs":false,"family":"Alfieri","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":909905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D.","contributorId":289211,"corporation":false,"usgs":false,"family":"Allen","given":"Craig D.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270090,"text":"70270090 - 2024 - Developing, testing, and communicating earthquake forecasts: Current practices and future directions","interactions":[],"lastModifiedDate":"2025-08-08T15:07:40.812629","indexId":"70270090","displayToPublicDate":"2024-08-13T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Developing, testing, and communicating earthquake forecasts: Current practices and future directions","docAbstract":"<p><span>While deterministically predicting the time and location of earthquakes remains impossible, earthquake forecasting models can provide estimates of the probabilities of earthquakes occurring within some region over time. To enable informed decision-making of civil protection, governmental agencies, or the public, Operational Earthquake Forecasting (OEF) systems aim to provide authoritative earthquake forecasts based on current earthquake activity in near-real time. Establishing OEF systems involves several nontrivial choices. This review captures the current state of OEF worldwide and analyzes expert recommendations on the development, testing, and communication of earthquake forecasts. An introductory summary of OEF-related research is followed by a description of OEF systems in Italy, New Zealand, and the United States. Combined, these two parts provide an informative and transparent snapshot of today's OEF landscape. In Section 4, we analyze the results of an expert elicitation that was conducted to seek guidance for the establishment of OEF systems. The elicitation identifies consensus and dissent on OEF issues among a non-representative group of 20 international earthquake forecasting experts. While the experts agree that communication products should be developed in collaboration with the forecast user groups, they disagree on whether forecasting models and testing methods should be user-dependent. No recommendations of strict model requirements could be elicited, but benchmark comparisons, prospective testing, reproducibility, and transparency are encouraged. Section 5 gives an outlook on the future of OEF. Besides covering recent research on earthquake forecasting model development and testing, upcoming OEF initiatives are described in the context of the expert elicitation findings.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000823","usgsCitation":"Mizrahi, L., Dallo, I., van der Elst, N., Christophersen, A., Spassiani, I., Werner, M.J., Iturrieta, P., Bayona, J., Iervolino, I., Schneider, M., Page, M.T., Zhuang, J., Herrmann, M., Michael, A.J., Falcone, G., Marzocchi, W., Rhoades, D.A., Gerstenberger, M., Gulia, L., Schorlemmer, D., Becker, J., Han, M., Kuratle, L., Marti, M., and Wiemer, S., 2024, Developing, testing, and communicating earthquake forecasts: Current practices and future directions: Reviews of Geophysics, v. 63, no. 3, e2023RG000823, 70 p., https://doi.org/10.1029/2023RG000823.","productDescription":"e2023RG000823, 70 p.","ipdsId":"IP-164941","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":494183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023rg000823","text":"Publisher Index Page"},{"id":493845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"63","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mizrahi, Leila","contributorId":359434,"corporation":false,"usgs":false,"family":"Mizrahi","given":"Leila","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dallo, Irina","contributorId":351572,"corporation":false,"usgs":false,"family":"Dallo","given":"Irina","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":945402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christophersen, Annemarie","contributorId":175090,"corporation":false,"usgs":false,"family":"Christophersen","given":"Annemarie","email":"","affiliations":[],"preferred":false,"id":945404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spassiani, Ilaria","contributorId":359435,"corporation":false,"usgs":false,"family":"Spassiani","given":"Ilaria","affiliations":[{"id":85810,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV),","active":true,"usgs":false}],"preferred":false,"id":945405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werner, Maximillian J.","contributorId":359436,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian","middleInitial":"J.","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945406,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iturrieta, Pablo","contributorId":359437,"corporation":false,"usgs":false,"family":"Iturrieta","given":"Pablo","affiliations":[{"id":85811,"text":"GFZ German Research Centre for Geosciences,","active":true,"usgs":false}],"preferred":false,"id":945407,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bayona, Jose","contributorId":359438,"corporation":false,"usgs":false,"family":"Bayona","given":"Jose","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":945408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Iervolino, Iunio","contributorId":359439,"corporation":false,"usgs":false,"family":"Iervolino","given":"Iunio","affiliations":[{"id":85812,"text":"The University of Naples Federico II","active":true,"usgs":false}],"preferred":false,"id":945409,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schneider, Max 0000-0003-2945-7904","orcid":"https://orcid.org/0000-0003-2945-7904","contributorId":340346,"corporation":false,"usgs":true,"family":"Schneider","given":"Max","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":945410,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":945411,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zhuang, Jiancang","contributorId":359440,"corporation":false,"usgs":false,"family":"Zhuang","given":"Jiancang","affiliations":[{"id":85813,"text":"The Institute of Statistical Mathematics, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":945412,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Herrmann, Marcus","contributorId":359441,"corporation":false,"usgs":false,"family":"Herrmann","given":"Marcus","affiliations":[{"id":85812,"text":"The University of Naples Federico 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Warner","contributorId":172720,"corporation":false,"usgs":false,"family":"Marzocchi","given":"Warner","email":"","affiliations":[{"id":27090,"text":"INGV, Rome","active":true,"usgs":false}],"preferred":false,"id":945416,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rhoades, David A.","contributorId":238832,"corporation":false,"usgs":false,"family":"Rhoades","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":47796,"text":"GNS, New Zealand","active":true,"usgs":false}],"preferred":false,"id":945417,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Gerstenberger, Matthew","contributorId":217542,"corporation":false,"usgs":false,"family":"Gerstenberger","given":"Matthew","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":945418,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gulia, Laura","contributorId":359442,"corporation":false,"usgs":false,"family":"Gulia","given":"Laura","affiliations":[{"id":36660,"text":"Università di Bologna","active":true,"usgs":false}],"preferred":false,"id":945419,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Schorlemmer, Danijel","contributorId":174003,"corporation":false,"usgs":false,"family":"Schorlemmer","given":"Danijel","email":"","affiliations":[{"id":27333,"text":"GFZ","active":true,"usgs":false}],"preferred":false,"id":945420,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Becker, Julia","contributorId":140797,"corporation":false,"usgs":false,"family":"Becker","given":"Julia","email":"","affiliations":[{"id":6956,"text":"GNS Science/Massey University","active":true,"usgs":false}],"preferred":false,"id":945421,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Han, Marta","contributorId":359443,"corporation":false,"usgs":false,"family":"Han","given":"Marta","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945422,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Kuratle, Lorena","contributorId":359444,"corporation":false,"usgs":false,"family":"Kuratle","given":"Lorena","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945423,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Marti, Michele","contributorId":359445,"corporation":false,"usgs":false,"family":"Marti","given":"Michele","affiliations":[{"id":85809,"text":"Swiss Seismological Service at ETH Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":945424,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Wiemer, Stefan","contributorId":205902,"corporation":false,"usgs":false,"family":"Wiemer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":945425,"contributorType":{"id":1,"text":"Authors"},"rank":25}]}}
,{"id":70260465,"text":"70260465 - 2024 - Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","interactions":[],"lastModifiedDate":"2024-11-04T17:47:39.059629","indexId":"70260465","displayToPublicDate":"2024-08-12T11:41:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","docAbstract":"<p><span>Species occupying dryland river ecosystems often experience “boom-and-bust” demographic cycles that coincide with shifts in habitat availability. Knowing whether declines are within natural thresholds versus those caused by acute human disturbance is critical for managing protected species. We investigated temporal shifts in abundance and habitat use of an endangered population of the threespine stickleback&nbsp;</span><i>Gasterosteus aculeatus</i><span>&nbsp;in southern California, where a Mediterranean climate leads to ephemeral habitat in one of the regions' least hydrologically modified rivers, the Santa Clara River. We conducted population surveys over a period of below-average rainfall in the upper watershed in Soledad Canyon, with predefined reaches surveyed multiple times per year to capture different hydrologic conditions. Abundances were stable across years but varied significantly depending on location, with some reaches remaining dry and others drying seasonally to varying degrees. Occupancy models showed that the presence of stable perennial reaches, drying regime, and other site-specific factors were important predictors of habitat use, and that certain reaches may be key to ensuring source-sink dynamics as flow dissipates over the dry season. Low occupancy in two sections was driven by different predominant mechanisms, one by diel cycles of evapotranspiration and the other by cattails (</span><i>Typha</i><span>&nbsp;spp.), with both having greater effects during the hotter, drier parts of the year. As dryland river ecosystems are vulnerable to the effects of anthropogenic-induced climate change, this study demonstrates how temporal monitoring can delimit dry-state benchmarks for improving management interventions (i.e., translocation and habitat restoration) for protected species under conditions that are predicted to worsen in the coming years.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4211","usgsCitation":"Richmond, J.Q., Gould, P.R., Pareti, J., Aitken, A., Morrissette, E., Backlin, A.R., Dellith, C., and Fisher, R., 2024, Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 8, e4211, 13 p., https://doi.org/10.1002/aqc.4211.","productDescription":"e4211, 13 p.","ipdsId":"IP-166124","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":463600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Soledad Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pareti, Jennifer","contributorId":345858,"corporation":false,"usgs":false,"family":"Pareti","given":"Jennifer","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aitken, Andrew","contributorId":345859,"corporation":false,"usgs":false,"family":"Aitken","given":"Andrew","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrissette, Eric","contributorId":237012,"corporation":false,"usgs":false,"family":"Morrissette","given":"Eric","email":"","affiliations":[],"preferred":false,"id":917756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dellith, Chris","contributorId":139396,"corporation":false,"usgs":false,"family":"Dellith","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":917758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260464,"text":"70260464 - 2024 - Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","interactions":[],"lastModifiedDate":"2024-11-05T15:15:40.693376","indexId":"70260464","displayToPublicDate":"2024-08-12T11:24:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in dietary ecology of two invasive American Bullfrog (<i>Lithobates catesbeianus</i>) populations in Southern California","title":"Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","docAbstract":"<p><span>Invasive American Bullfrogs (Lithobates catesbeianus) are a threat to native species in riparian ecosystems worldwide. They are indiscriminate predators consuming both vertebrate and invertebrate prey, negatively affecting biodiversity. Documenting the diet and feeding ecology of invasive L. catesbeianus can help management agencies identify affected species and facilitate eradication efforts. We present a dietary analysis of two invasive L. catesbeianus populations over multiple breeding seasons (2016–2020), elucidating ontogenetic changes in diet and dietary differences between sexes and habitats. This is the first study to analyze dietary variation from contemporary populations of invasive L. catesbeianus occupying different watersheds in Southern California, an area where their invasion presents acute conservation challenges. Our analysis of 667 gut contents shows that adult females had more prey in their guts than adult males, even though male and female body size was not significantly different. Adults were more likely than juveniles to consume vertebrate prey, and juveniles were more likely than adults to have empty stomachs. We also found that invasive Red Swamp Crayfish (Procambarus clarkii), made up a substantial portion of the diet of adult L. catesbeianus at the site where they were present. These results provide an important ecological context for designing mitigation actions that ameliorate the impacts of invasive L. catesbeianus.</span></p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/Herpetologica-D-23-00057","usgsCitation":"Smith, N.W., Hanscom, R.J., Richmond, J.Q., Fisher, R., and Clark, R.W., 2024, Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California: Herpetologica, v. 80, no. 3, p. 241-247, https://doi.org/10.1655/Herpetologica-D-23-00057.","productDescription":"7 p.","startPage":"241","endPage":"247","ipdsId":"IP-166137","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498874,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1655/herpetologica-d-23-00057","text":"Publisher Index 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,{"id":70256978,"text":"tm6A64 - 2024 - Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","interactions":[],"lastModifiedDate":"2024-08-12T15:36:25.638887","indexId":"tm6A64","displayToPublicDate":"2024-08-12T11:18:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A64","displayTitle":"Revision of ModelMuse to Support the Use of PEST Software With MODFLOW and SUTRA Models","title":"Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","docAbstract":"<h1>Executive Summary</h1><p>ModelMuse is a graphical user interface for several groundwater modeling programs. ModelMuse was updated to generate the input files for the parameter estimation software suite PEST. The software is used with MODFLOW or SUTRA models to run PEST-based parameter estimation and display the updated model inputs after parameter estimation. The PEST input files can also be used with the PEST++ version 5 software suite.</p><p>Parameter estimation typically requires defining the parameters being adjusted during calibration and observations for assessing calibration quality. After a parameter is defined in ModelMuse, it can be applied to all or part of a model dataset. Pilot points—a parameterization device that facilitates higher levels of parameterization—can be used to assign spatially variable distributions of model inputs. Parameters can be applied to temporally varying features, such as boundary conditions, by either applying them to all the values in a series in one step or by applying separate parameters to individual members of a series. ModelMuse allows the definition of many observation types from various model output files. For MODFLOW 6 and SUTRA models, new options were added to ModelMuse to allow it to display the changed input after parameter estimation is complete. For MODFLOW–2005 and MODFLOW–NWT models, ModelMuse can import an entire model for visualization. An example illustrates the use of PEST with a MODFLOW 6 model in ModelMuse.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A64","programNote":"Water Availability and Use Science Program","usgsCitation":"Winston, R.B., 2024, Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models: U.S. Geological Survey Techniques and Methods book 6, chap. A64, 56 p., https://doi.org/10.3133/tm6A64.","productDescription":"Report viii, 56 p.; Software Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497969,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P132ZP7T","text":"USGS data release","linkHelpText":"ModelMuse version 5.4"},{"id":432191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a64/coverthb.jpg"},{"id":432193,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm6A64/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"TM 6-A64 HTML"},{"id":432194,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 6-A64 XML"},{"id":432192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.pdf","text":"Report","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A64 PDF"},{"id":432195,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/06/a64/images/"},{"id":432196,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1AZMVXV","text":"USGS software release","linkHelpText":"- ModelMuse: A Graphical User Interface for Groundwater Models (version 5.3.0.0)"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\">Integrated Modeling and Prediction Division</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston VA, 20192</p><p>Email: <a href=\"mailto:modflow@usgs.gov\" data-mce-href=\"mailto:modflow@usgs.gov\">modflow@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Installing PEST</li><li>Using Parameters With Datasets</li><li>Using PEST Parameters With Model Features</li><li>PEST Calibration Observations</li><li>PEST Control Variables</li><li>Running PEST</li><li>Using SVD-Assist</li><li>Visualizing Residuals</li><li>Visualizing Modified Model Input</li><li>Limitations</li><li>Example</li><li>Summary</li><li>References Cited</li><li>Appendix 1. \"EnhancedTemplateProcessor\"</li><li>Appendix 2. \"Mf6ObsExtractor\"</li><li>Appendix 3. \"Mf2005ObsExtractor\"</li><li>Appendix 4. \"SutraObsExtractor\"</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-12","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":909055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70257555,"text":"70257555 - 2024 - Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","interactions":[],"lastModifiedDate":"2024-09-06T18:18:10.540344","indexId":"70257555","displayToPublicDate":"2024-08-12T11:04:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","docAbstract":"<p><span>Population genetic analysis of invasive populations can provide valuable insights into the source of introductions, pathways for expansion, and their demographic histories. Flathead catfish (</span><i>Pylodictis olivaris</i><span>) are a prolific invasive species with high fecundity, long-distance dispersal, and piscivorous feeding habits that can lead to declines in native fish populations. In this study, we analyse the genetics of invasive&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the Mid-Atlantic region to assess their connectivity and attempt to reconstruct the history of introduced populations. Based on an assessment across 13 microsatellite loci,&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna River system (</span><i>N</i><span> = 537), Schuylkill River (</span><i>N</i><span> = 33), and Delaware River (</span><i>N</i><span> = 1) have low genetic diversity (global&nbsp;</span><i>H</i><sub>obs</sub><span> = 0.504), although we detected no evidence of substantial inbreeding (</span><i>F</i><sub>IS</sub><span> = −0.083 to 0.022).&nbsp;</span><i>P. olivaris</i><span>&nbsp;from these different river systems were genetically distinct, suggesting separate introductions. However, population structure was much weaker within each river system and exhibited a pattern of high connectivity, with some evidence of isolation by distance.&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna and Schuylkill rivers showed evidence for recent genetic bottlenecks, and demographic models were consistent with historical records, which suggest that populations were established by recent founder events consisting of a small number of individuals. Our results show the risk posed by small introductions of&nbsp;</span><i>P. olivaris</i><span>, which can spread widely once a population is established, and highlight the importance of prevention and sensitive early detection methods to prevent the spread of&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the future.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15888","usgsCitation":"Waraniak, J., Eackles, M., Keagy, J., Smith, G., Schall, M., Stark, S., White, S.L., Kazyak, D.C., and Wagner, T., 2024, Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers: Journal of Fish Biology, 14 p., https://doi.org/10.1111/jfb.15888.","productDescription":"14 p.","ipdsId":"IP-164536","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.15888","text":"Publisher Index Page"},{"id":433579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey, Pennsylvania","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Waraniak, Justin","contributorId":343350,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S.","contributorId":343352,"corporation":false,"usgs":false,"family":"Eackles","given":"Michael S.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":910811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keagy, Jason","contributorId":343355,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":343358,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schall, Megan","contributorId":343361,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stark, Sydney","contributorId":343364,"corporation":false,"usgs":false,"family":"Stark","given":"Sydney","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":910817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910818,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257446,"text":"70257446 - 2024 - Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","interactions":[],"lastModifiedDate":"2024-08-16T14:37:01.715279","indexId":"70257446","displayToPublicDate":"2024-08-12T09:30:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","docAbstract":"<p><span>The evolutionary histories of adaptive radiations can be marked by dramatic demographic fluctuations. However, the demographic histories of ecologically-linked co-diversifying lineages remain understudied. The Laurentian Great Lakes provide a unique system of two such radiations that are dispersed across depth gradients with a predator-prey relationship. We show that the North American&nbsp;</span><i>Coregonus</i><span>&nbsp;species complex (“ciscoes”) radiated rapidly prior to the Last Glacial Maximum (80–90 kya), a globally warm period, followed by rapid expansion in population size. Similar patterns of demographic expansion were observed in the predator species, Lake Charr (</span><i>Salvelinus namaycush</i><span>), following a brief time lag, which we hypothesize was driven by predator-prey dynamics. Diversification of prey into deep water created ecological opportunities for the predators, facilitating their demographic expansion, which is consistent with an upward adaptive radiation cascade. This study provides a new timeline and environmental context for the origin of the Laurentian Great Lakes fish fauna, and firmly establishes this system as drivers of ecological diversification and rapid speciation through cyclical glaciation.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-024-06503-z","usgsCitation":"Backenstose, N.J., MacGuigan, D.J., Osborne, C.A., Bernal, M.A., Thomas, E.K., Normandeau, E., Yule, D.L., Stott, W., Ackiss, A.S., Albert, V.A., Bernatchez, L., and Krabbenhoft, T.J., 2024, Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum: Communications Biology, v. 7, 978, 10 p., https://doi.org/10.1038/s42003-024-06503-z.","productDescription":"978, 10 p.","ipdsId":"IP-146271","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":439217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Buffalo","active":true,"usgs":false}],"preferred":false,"id":910423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Christopher A.","contributorId":342823,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernal, Moises A.","contributorId":342826,"corporation":false,"usgs":false,"family":"Bernal","given":"Moises","email":"","middleInitial":"A.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":910425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Elizabeth K.","contributorId":342829,"corporation":false,"usgs":false,"family":"Thomas","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Normandeau, Eric","contributorId":342831,"corporation":false,"usgs":false,"family":"Normandeau","given":"Eric","email":"","affiliations":[{"id":34605,"text":"Universite Laval","active":true,"usgs":false}],"preferred":false,"id":910427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Albert, Victor A.","contributorId":342834,"corporation":false,"usgs":false,"family":"Albert","given":"Victor","email":"","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910431,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bernatchez, Louis","contributorId":206583,"corporation":false,"usgs":false,"family":"Bernatchez","given":"Louis","email":"","affiliations":[{"id":37344,"text":"GIROQ","active":true,"usgs":false}],"preferred":false,"id":910432,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krabbenhoft, Trevor J.","contributorId":176498,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":910433,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269012,"text":"70269012 - 2024 - Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","interactions":[],"lastModifiedDate":"2025-07-14T14:00:14.633286","indexId":"70269012","displayToPublicDate":"2024-08-12T08:56:36","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":"Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","docAbstract":"<p><span>Animals adjust their habitat use patterns in response to changes in their physiological needs and environmental conditions. Understanding the mechanisms underlying resource selection and space use across time and space reveals effects of the environment on animals' decisions. We explored the effects of habitat availability and heterogeneity on the seasonal and annual space use and resource selection of two free-roaming feral burro (</span><i>Equus asinus</i><span>) populations in the United States within distinct climate and habitat conditions: the Sonoran Desert and the Colorado Plateau. As an introduced yet protected species in the United States, understanding burros' interactions with habitat elements is important for their conservation and management, as well as the conservation of sympatric wildlife. We used GPS locations of female burros (72 animals across both study areas) to delineate annual and seasonal ranges and resource selection patterns. We evaluated effects of mean and CV of habitat covariates, including forage, distance to water, and topography, representing availability and heterogeneity of resources, on seasonal and annual range size of burros. Moreover, we explored how burro seasonal and annual resource selection patterns were affected by availability and heterogeneity of resources. In the Sonoran Desert study area, burros had smaller seasonal and annual ranges and constant resource selection patterns across a year, likely due to a freshwater lake in the area, making water a nonlimiting resource. Human presence was the greatest factor affecting range size and resource selection in the Sonoran Desert, where burros selected for areas near roads and human recreation. In the Colorado Plateau study area, where resources were more seasonal, we found larger range sizes and fluctuating resource selection patterns compared to the Sonoran Desert population. Spatial variation in forage, water, and topography significantly affected range size of burros inhabiting the Colorado Plateau study area. Productive habitats with available water support smaller ranges and a more consistent pattern of resource selection. Our results highlight the positive effect of habitat heterogeneity and the negative effect of habitat productivity on range size of animals. Our findings contribute to an improved understanding of habitat requirements for free-roaming burros that currently live under various climate and habitat conditions globally.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4939","usgsCitation":"Esmaeili, S., Schoenecker, K., and King, S., 2024, Resource availability and heterogeneity affect space use and resource selection of a feral ungulate: Ecosphere, v. 15, no. 8, e4939, 20 p., https://doi.org/10.1002/ecs2.4939.","productDescription":"e4939, 20 p.","ipdsId":"IP-153427","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492799,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13MFVTY","text":"USGS data release","linkHelpText":"GPS Locations of Free-roaming Burros in Utah and Arizona, USA, 2016 to 2020"},{"id":492484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4939","text":"Publisher Index Page"},{"id":492196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Esmaeili, Saeideh","contributorId":357957,"corporation":false,"usgs":false,"family":"Esmaeili","given":"Saeideh","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Sarah","contributorId":357959,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257571,"text":"70257571 - 2024 - Body mass changes of dabbling and diving ducks wintering in California","interactions":[],"lastModifiedDate":"2024-10-23T16:09:54.735869","indexId":"70257571","displayToPublicDate":"2024-08-12T08:18:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Body mass changes of dabbling and diving ducks wintering in California","docAbstract":"<p><span>Bird body mass is often used as an index of body condition and fluctuates throughout the year in response to environmental conditions and avian life-history events. We examined the body mass of 59,572 ducks representing 13 species (7 dabbling duck species and 6 diving duck species) harvested within the 3 regions of the Central Valley in California, USA (Sacramento Valley, Suisun Marsh, San Joaquin Valley). Data collection occurred in winter during 5 hunting seasons (2014–2015, 2015–2016, 2017–2018, 2018–2019, 2019–2020). For all species, age, and sex classes, the body mass of dabbling ducks varied temporally and was lowest at the end of the hunting season in late January, declining from the beginning of the hunting season in mid-October (northern pintail [</span><i>Anas acuta</i><span>]: −11.4% to −20.4%; northern shoveler [</span><i>Spatula clypeata</i><span>]: −3.5% to −17.3%; cinnamon teal [</span><i>Anas cyanoptera</i><span>]: −5.0% to −17.1%; American wigeon [</span><i>Mareca americana</i><span>]: −6.9% to −12.2%; American green-winged teal [</span><i>Anas carolinensis</i><span>]: −5.9% to −11.9%; mallard [</span><i>Anas platyrhynchos</i><span>]: −1.8% to −9.6%; gadwall [</span><i>Mareca strepera</i><span>]: −2.2% to −8.4%). As expected, adults (after hatch-year) were heavier than immature (hatch-year) birds (within males: 0.6–8.6%; within females: 0.1–6.6%) and males were heavier than females (within adults: 3.1–38.6%; within immatures: 5.4–33.5%) at the end of the hunting season in all species. Within dabbling duck species, body masses did not differ among regions at the beginning of the hunting season but were heavier in the Sacramento Valley (0.5–14.4%) than other areas by the end of the hunting season. In contrast, body masses of diving ducks did not vary substantially during the hunting season or among regions. Diving ducks demonstrated inconsistent changes in mass from the beginning to the end of the season (lesser scaup [</span><i>Aythya affinis</i><span>]: 3.4% to 12.3%; canvasback [</span><i>Aythya valisineria</i><span>]: 5.1% to 6.1%; bufflehead [</span><i>Bucephala albeola</i><span>]: −3.2% to 1.6%; ring-necked duck [</span><i>Aythya collaris</i><span>]: −4.9% to 2.6%; common goldeneye [</span><i>Bucephala clangula</i><span>]: −3.2% to −2.4%; ruddy duck [</span><i>Oxyura jamaicensis</i><span>]: −16.5% to 5.5%). The substantial temporal and spatial differences in dabbling duck body masses suggest that habitat quality (as measured by caloric value of the available food) or quantity may decline during winter and varies regionally within California's Central Valley.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22650","usgsCitation":"Herzog, M.P., Ackerman, J.T., Kohl, J.D., Fettig, B.L., Hartman, C.A., Peterson, S.H., Casazza, M.L., and Fleskes, J.P., 2024, Body mass changes of dabbling and diving ducks wintering in California: Journal of Wildlife Management, v. 88, no. 8, e22650, 44 p.; Data Release, https://doi.org/10.1002/jwmg.22650.","productDescription":"e22650, 44 p.; Data Release","ipdsId":"IP-160170","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439219,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22650","text":"Publisher Index Page"},{"id":434916,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DE5DWE","text":"USGS data release","linkHelpText":"Body Mass of Dabbling and Diving Ducks Harvested in California"},{"id":433659,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ],\n            [\n              -122.14605714076728,\n              38.055035283143305\n            ],\n            [\n              -121.60106551029111,\n              36.66561595429475\n            ],\n            [\n              -119.81149821520499,\n              36.674324107924164\n            ],\n            [\n              -120.11382598668808,\n              39.545986542507165\n            ],\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohl, Jeffrey D. 0000-0003-0921-7460","orcid":"https://orcid.org/0000-0003-0921-7460","contributorId":206562,"corporation":false,"usgs":true,"family":"Kohl","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettig, Brady Lynn 0000-0002-3124-2606","orcid":"https://orcid.org/0000-0002-3124-2606","contributorId":302106,"corporation":false,"usgs":true,"family":"Fettig","given":"Brady","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257169,"text":"70257169 - 2024 - Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","interactions":[],"lastModifiedDate":"2024-08-13T11:53:07.427511","indexId":"70257169","displayToPublicDate":"2024-08-12T06:49:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volume) across 148,172&nbsp;km of highways, arterials, collectors, local, and gravel/graded roads within the state of Wyoming for the years 1986 to 2020 to provide a comprehensive dataset for future ecological investigations. We leveraged a suite of ancillary data on surface disturbances (e.g., oil &amp; gas drilling operations, wind turbines, and open pit mines) with known establishment dates and combined them using graph theory and centrality metrics to estimate the age of each road. We then predicted traffic volume obtained from the Wyoming Department of Transportation for each year across Wyoming using a machine learning method, XGBoost, and a separate set of spatial covariates hypothesized to explain traffic patterns across large regions. We found that 132,476&nbsp;km of these roads likely existed before 1986, but that 16,693&nbsp;km (10.7&nbsp;%) of roads have been built since 1986. Overall, our estimates of road age were 89&nbsp;% accurate when assessed on a subset of 1,330 roads with high-resolution aerial imagery. Mean absolute error for predicting traffic volume ranged from 35.2 to 77.9 annual average daily traffic (aadt) for trucks and 269.2 to 516.7 aadt for all-vehicles across the 35&nbsp;years. We found that mean traffic volume across the state increased by 23&nbsp;% for both truck-only traffic and all vehicular traffic from 1986 to 2020. However, changes in traffic volume have varied substantially across the state (e.g., 100&nbsp;% increases in volume in some areas, while other areas experienced declines of up to 1,786&nbsp;%). We also illustrate a novel application of these data by predicting rates of reported wildlife-vehicle collisions (WVCs) along a subset of roads. We found evidence of a non-linear relationship that supported a threshold hypothesis for WVCs, wherein increases in traffic volume equate to increases in WVCs up to a threshold, above which increases in traffic volume result in declines in WVCs. The data provided here will enable better-informed studies of road ecology to address how roads may affect wildlife populations and key ecosystems across Wyoming.</p></div></div></div><div id=\"reading-assistant\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112410","usgsCitation":"Inman, R.D., Robb, B.S., O’Donnell, M.S., Edmunds, D.R., Holloran, M.J., and Aldridge, C.L., 2024, Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions: Ecological Indicators, v. 116, 112410, 16 p., https://doi.org/10.1016/j.ecolind.2024.112410.","productDescription":"112410, 16 p.","ipdsId":"IP-160311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439220,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112410","text":"Publisher Index Page"},{"id":434917,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137JNBY","text":"USGS data release","linkHelpText":"Wyoming road age and traffic volume estimated with machine learning and graph theory"},{"id":432590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Matthew J 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":254954,"corporation":false,"usgs":false,"family":"Holloran","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":51367,"text":"Operational Conservation LLC","active":true,"usgs":false}],"preferred":false,"id":909651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":909652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257168,"text":"70257168 - 2024 - Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","interactions":[],"lastModifiedDate":"2024-10-30T21:45:30.268282","indexId":"70257168","displayToPublicDate":"2024-08-12T06:38:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","docAbstract":"<p>Quantifying the relative influence of factors and processes controlling riverine ecosystem function is essential to predicting future conditions under global change. Dissolved organic matter (DOM) is a fundamental component of riverine ecosystems that fuels microbial food webs, influences nutrient and light availability, and represents a significant carbon flux globally. The heterogeneous nature of DOM molecular composition and its propensity for interaction (i.e., functional diversity) can characterize riverine ecosystem function across spatiotemporal scales. To investigate fundamental drivers of DOM diversity, we collected seasonal water samples from 42 nested locations within five watersheds spanning multiple watershed sizes (~5 to 30,000 km2) across the United States. Patterns in DOM molecular richness, aromaticity, relative abundance of N-containing formulas, and putative biochemical transformations derived from high-resolution mass spectrometry were assessed across gradients of explanatory variables associated with watershed characteristics (e.g., watershed area, water residence time, land cover). We found that putative biochemical transformations were more strongly related to explanatory variables across watersheds than common bulk DOM parameters and that watershed area, surface water residence time and derived Damköhler numbers representing DOM reactivity timescales were strong predictors of DOM diversity. The data also indicate that catchment-specific land cover factors can significantly influence DOM diversity in diverging directions. Overall, the results highlight the importance of considering water residence time and land cover when interpreting longitudinal patterns in DOM chemistry and the continued challenge of identifying generalizable drivers that are transferable across watershed and regional scales for application in Earth system models. This work also introduces a Findable Accessible Interoperable Reusable (FAIR) dataset (&gt;300 samples) to the community for future syntheses.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-024-01169-5","usgsCitation":"Ryan, K.A., Garayburu-Caruso, V., Crump, B., Bambakidis, T., Raymond, P., Liu, S., and Stegen, J., 2024, Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds: Biogeochemistry, v. 167, p. 1203-1224, https://doi.org/10.1007/s10533-024-01169-5.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-162266","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":439221,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-024-01169-5","text":"Publisher Index Page"},{"id":432589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garayburu-Caruso, Vanessa","contributorId":342100,"corporation":false,"usgs":false,"family":"Garayburu-Caruso","given":"Vanessa","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crump, Byron","contributorId":342101,"corporation":false,"usgs":false,"family":"Crump","given":"Byron","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bambakidis, Ted","contributorId":342102,"corporation":false,"usgs":false,"family":"Bambakidis","given":"Ted","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":342103,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":909644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shaoda","contributorId":342106,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","affiliations":[{"id":81838,"text":"Bejing Normal University","active":true,"usgs":false}],"preferred":false,"id":909645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stegen, James","contributorId":342108,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909646,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257452,"text":"70257452 - 2024 - It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","interactions":[],"lastModifiedDate":"2024-09-23T16:24:43.833305","indexId":"70257452","displayToPublicDate":"2024-08-11T10:30:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","docAbstract":"<h3 id=\"tafs10471-sec-2001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Many mark–recapture models assume that releases and recaptures are discrete events, and researchers often aggregate continuous recapture data (e.g., passive integrated transponder [PIT] detections) into coarse temporal scales to satisfy this assumption. This temporal discretization could result in parameter biases by ignoring the individual heterogeneity in the time susceptible to mortality after recapture and the conditions experienced (e.g., temperature and predation risk) before and after recapture. Our objectives were to (1) estimate the amount of bias in survival and emigration rates due to different temporal discretization durations when recapture events occur continuously and (2) apply this semicontinuous model to estimate rates of early emigration and overwinter survival for Coho Salmon<span>&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;</span>in a coastal California watershed.</p><h3 id=\"tafs10471-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We developed a semicontinuous time multistate mark–recapture model to separately estimated emigration and survival rates throughout the year. We used weekly time-varying occasions paired with discrete spatial states and conducted extensive simulation trials to explore potential model bias. We then applied the model to an existing 4-year dataset of Coho Salmon PIT tag detections.</p><h3 id=\"tafs10471-sec-2003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Our simulations indicated that that the amount of bias in survival and movement rates decreased as the temporal discretization duration decreased. The confidence interval of the bias estimates included zero with a duration of 8 days, indicating that this duration was sufficiently short to model movement and survival. Results from our Coho Salmon analysis suggest that overwinter survival rate ranged from 0.72 to 0.83, which is higher than previous estimates for Coho Salmon in this region. We estimate that a substantial proportion of smaller juveniles (0.21–0.28 annually) move to downstream nonnatal rearing habitats before the spring smolt migration.</p><h3 id=\"tafs10471-sec-2004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our semicontinuous modeling approach can be implemented relatively easily and used to analyze continuous detection data to accurately estimate survival and movement rates. Our analysis of Coho Salmon PIT tag detections implies that previous low estimates of apparent overwinter survival of Coho Salmon were partially due to high movement rates to alternative rearing locations. This contrasts with conclusions from the previous research that suggested that overwinter survival was a major limiting factor for population recovery and implies that species recovery may be improved by considering multiple emigration patterns in the design of future research, monitoring, and restoration projects.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10471","usgsCitation":"Van Vleet, N.P., Ward, D., Som, N.A., Barton, D.C., Anderson, C., and Henderson, M., 2024, It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed: Transactions of the American Fisheries Society, v. 153, no. 5, p. 541-558, https://doi.org/10.1002/tafs.10471.","productDescription":"18 p.","startPage":"541","endPage":"558","ipdsId":"IP-155645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439222,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10471","text":"Publisher Index Page"},{"id":433668,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Freshwater Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Vleet, Nicholas P.","contributorId":342870,"corporation":false,"usgs":false,"family":"Van Vleet","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Darren","contributorId":342871,"corporation":false,"usgs":false,"family":"Ward","given":"Darren","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":910461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Daniel C.","contributorId":88221,"corporation":false,"usgs":true,"family":"Barton","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":910462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Colin","contributorId":342879,"corporation":false,"usgs":false,"family":"Anderson","given":"Colin","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":910464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257275,"text":"70257275 - 2024 - A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","interactions":[],"lastModifiedDate":"2024-09-11T16:23:57.562467","indexId":"70257275","displayToPublicDate":"2024-08-11T07:06:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Biologging is central to the study of wildlife, but questions remain about the minimization of effects of biologging devices. Rarely considered are changes biologging devices induce on an animal's centre of mass (COM) and resulting losses of flight control and stability.</li><li>We applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by the typical positioning of a biologging device on the neck, back, hips or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability.</li><li>Generic models illustrate a trade-off between the placement and mass of a biologging device that influences flight control and stability. Seven species-specific examples show the substantial differences in consequences of changes to COM for animals of different sizes and body types. Placement of a device on the tail always resulted in the greatest shift in COM and placement in the centre of the back resulted in the smallest shift. The 5% weight threshold some use for a biologging device provides little room for error in terms of stability and can easily cause dangerous changes to COM. The 3% weight threshold others use causes considerably smaller changes in the COM, but when placed away from the natural COM, still can affect flight control and stability.</li><li>Researchers interested in minimizing the effects to fitness of wildlife should consider weight, balance and COM when affixing biologging devices. The farther a device is from the natural COM, the smaller it should be relative to the mass of the animal.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14400","usgsCitation":"Katzner, T., and Young, G., 2024, A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats: Methods in Ecology and Evolution, v. 15, no. 9, p. 1553-1560, https://doi.org/10.1111/2041-210X.14400.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-162804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439223,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14400","text":"Publisher Index Page"},{"id":434918,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13SIMMI","text":"USGS data release","linkHelpText":"Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats"},{"id":432649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, George","contributorId":342227,"corporation":false,"usgs":false,"family":"Young","given":"George","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909824,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70256592,"text":"70256592 - 2024 - In-situ valve opening response of eastern oysters to estuarine conditions","interactions":[],"lastModifiedDate":"2024-08-23T15:35:31.994064","indexId":"70256592","displayToPublicDate":"2024-08-09T10:23:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"In-situ valve opening response of eastern oysters to estuarine conditions","docAbstract":"<p><span>High-frequency recordings of valve opening behavior (VOB) in bivalves are often used to detect changes in environmental conditions. However, generally a single variable such as temperature or the presence of toxicants in the water is the focus. A description of routine VOB under non-stressful conditions is also important for interpreting responses to environmental changes. Here we present the first detailed quantitative investigation of the in-situ VOB of eastern oysters (</span><i>Crassostrea virginica</i><span>) to environmental variables typically not considered stressful. The VOB of eight individuals was monitored for seven weeks in a Louisiana estuary. We examined the relationships between VOB metrics (variance in mean % max opening among oysters, the probability of an oyster being closed, and the rate of valve closure), and temperature, salinity, chlorophyll-a (chl-a) concentration, the rate of change in those environmental variables, and the rate of change in water depth. Relationships were analyzed through statistical models including rates of change over 0, 0.25, 1-, 6-, 12-, and 24-hours. All the responses were best explained by the 12-hour time step model. The interaction effect between salinity and the rate of change of salinity had the greatest impact on variance in oysters’ behavior. Oysters closed faster at higher salinities and were more likely to be closed at lower chl-a concentrations. Significant interactions were found between many environmental variables, indicating a high level of complexity of oyster behavior in the natural environment. This study contributes to a better understanding of the impact of environmental conditions on oyster behavior and can help inform predictive tools for restoration initiatives and fisheries practices.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00227-024-04488-1","usgsCitation":"Lavaud, R., Archer, S.K., La Peyre, M., Campanino, F.M., Casas, S.M., and La Peyre, J., 2024, In-situ valve opening response of eastern oysters to estuarine conditions: Marine Biology, v. 171, 174, 16 p., https://doi.org/10.1007/s00227-024-04488-1.","productDescription":"174, 16 p.","ipdsId":"IP-159584","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439224,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-024-04488-1","text":"Publisher Index Page"},{"id":433102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Cocodrie","otherGeospatial":"Calcasieu Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.34617193921602,\n              30.068407744230996\n            ],\n            [\n              -93.35606344461247,\n              29.94670606331917\n            ],\n            [\n              -93.35045825822144,\n              29.901859839798448\n            ],\n            [\n              -93.44525185159969,\n              29.878295556083188\n            ],\n            [\n              -93.44113039101742,\n              29.8467304098334\n            ],\n            [\n              -93.38639739449258,\n              29.824421454254924\n            ],\n            [\n              -93.33529128328053,\n              29.832717112540085\n            ],\n            [\n 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Consortium","active":true,"usgs":false}],"preferred":false,"id":908184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campanino, Finella M.","contributorId":341283,"corporation":false,"usgs":false,"family":"Campanino","given":"Finella","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908186,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casas, Sandra M.","contributorId":341284,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908187,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Jerome F.","contributorId":341285,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908188,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","interactions":[{"subject":{"id":70261584,"text":"70261584 - 2024 - Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"70261584","publicationYear":"2024","noYear":false,"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"predicate":"SUPERSEDED_BY","object":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"id":1}],"supersededBy":{"id":70266894,"text":"ofr20251007 - 2025 - Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","indexId":"ofr20251007","publicationYear":"2025","noYear":false,"title":"Mapping eelgrass (Zostera marina) cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery"},"lastModifiedDate":"2025-05-20T13:24:14.978891","indexId":"70261584","displayToPublicDate":"2024-08-09T08:50:10","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery","docAbstract":"<p><span>Two eelgrass (</span><i>Zostera marina</i><span>) maps of Izembek Lagoon, Alaska, were generated by first creating maps of spectrally unique classes from each of two Sentinel-2 satellite images collected on July 1, 2016, and August 14, 2020, then attributing the spectral classes with information about eelgrass conditions based on field data. Maps depicting various eelgrass metrics, such as percent cover and modeled biomass, were generated using summaries of the ground data that spatially intersected each spectral class. Comparisons between the 2016 and 2020 Sentinel-2 maps of eelgrass distributional extent, as well as a 2006 Landsat map, indicated that areas where eelgrass presence may have declined between 2006 and 2020 were most prevalent in the central part Izembek Lagoon, while areas of possible biomass decline were more prevalent in the southern part between 2016 and 2020. Monitoring eelgrass conditions at Izembek Lagoon with satellite imagery and concurrent ground data provides capabilities for making comparisons over time, but the influences of tide levels, growing season phenology, and spatiotemporal co-registration accuracy should be considered when designing and interpreting change detection analyses.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2024.08.07.607047","usgsCitation":"Douglas, D.C., Fleming, M., Patil, V.P., and Ward, D.H., 2024, Mapping eelgrass cover and biomass at Izembek Lagoon, Alaska, using in-situ field data and Sentinel-2 satellite imagery: BioRxiv, https://doi.org/10.1101/2024.08.07.607047.","productDescription":"35 p.","ipdsId":"IP-168423","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466967,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2024.08.07.607047","text":"External Repository"},{"id":465143,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Izembek Lagoon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ],\n            [\n              -162.84978004715862,\n              55.18903118481694\n            ],\n            [\n              -162.68483234353056,\n              55.32568974463476\n            ],\n            [\n              -162.63354608309427,\n              55.35091614284903\n            ],\n            [\n              -162.5670125555805,\n              55.33988157021267\n            ],\n            [\n              -162.4880039916577,\n              55.3792766436201\n            ],\n            [\n              -162.49632068259703,\n              55.470522299013965\n            ],\n            [\n              -162.5891903980851,\n              55.45166118374158\n            ],\n            [\n              -162.78047428968748,\n              55.384001418091316\n            ],\n            [\n              -162.88304681127136,\n              55.3438228419308\n            ],\n            [\n              -163.03274724817751,\n              55.22383284787324\n            ],\n            [\n              -163.09789466053493,\n              55.170827297352844\n            ],\n            [\n              -162.9274024959248,\n              55.158158818332055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":921108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Michael D.","contributorId":332620,"corporation":false,"usgs":false,"family":"Fleming","given":"Michael D.","affiliations":[{"id":79518,"text":"Images Unlimited","active":true,"usgs":false}],"preferred":false,"id":921109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":921110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":921111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70258223,"text":"70258223 - 2024 - The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration","interactions":[],"lastModifiedDate":"2024-12-27T14:19:13.664651","indexId":"70258223","displayToPublicDate":"2024-08-09T08:40:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration","docAbstract":"<p><span>Identifying the migration routes and stopover sites used by declining species is critical for developing targeted conservation actions. Long-distance migratory shorebirds are among the groups of birds declining most rapidly, yet we frequently lack detailed knowledge about the routes and stopover sites they use during their hemisphere-spanning migrations. This is especially true for species that migrate through mid-continental regions in the Western Hemisphere. We therefore used satellite transmitters to track 212 individuals of 6 shorebird species during their southward migrations—</span><i>Pluvialis dominica</i><span>&nbsp;(American Golden-Plover),&nbsp;</span><i>Limosa haemastica</i><span>&nbsp;(Hudsonian Godwit),&nbsp;</span><i>Tringa flavipes</i><span>&nbsp;(Lesser Yellowlegs), and&nbsp;</span><i>Calidris subruficollis</i><span>&nbsp;(Buff-breasted Sandpiper),&nbsp;</span><i>C. melanotos</i><span>&nbsp;(Pectoral Sandpiper), and&nbsp;</span><i>Bartramia longicauda</i><span>&nbsp;(Upland Sandpiper)—as they crossed the Amazon Basin of South America, a region from which reports of shorebird numbers are increasing but remain relatively rare. Our results make clear that the Amazon Basin provides stopover habitat for a large number of shorebirds: more than 74% of individuals tracked crossing the Amazon Basin stopped over in the region for an average of 2–14 days, with some spending the entire nonbreeding season there. All species selected stopover sites along the region’s many rivers and lakes, while within stopover sites each species exhibited distinct habitat preferences. The timing of stopovers within sub-basins of the Amazon Basin also coincided with periods of low water, when the muddy, shallow water habitats preferred by most shorebirds are likely plentiful. Together, our results highlight the need for detailed investigations into shorebird abundance and distribution within the Amazon Basin, threats to shorebirds within particular subbasins, and links between shorebird conservation efforts and those targeting the myriad other species that inhabit this dynamic, hyper-diverse region.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duae034","usgsCitation":"Linscott, J.A., Basso, E., Bathrick, R., Bosi de Almeida, J., Anderson, A., Angulo-Pratolongo, F., Ballard, B.M., Bety, J., Brown, S., Christie, K.S., Clements, S.J., Friis, C., Gesmundo, C., Giroux, M., Harrison, A., Harwood, C.M., Hill, J.M., Johnson, J.A., Kempenaers, B., Laliberte, B., Lamarre, J., Lanctot, R., Latty, C., Lecomte, N., McDuffie, L.A., Navedo, J.G., Nol, E., Pohlen, Z.M., Rausch, J., Renfrew, R., Ruiz, J., Russell, M., Ruthrauff, D.R., Saalfeld, S.T., Sandercock, B., Schulte, S., Smith, P.A., Taylor, A.R., Tibbitts, T., Valcu, M., Weegman, M., Wright, J.R., and Senner, N.R., 2024, The Amazon Basin’s rivers and lakes support Nearctic-breeding shorebirds during southward migration: Ornithological Applications, v. 126, no. 4, duae034, 18 p., https://doi.org/10.1093/ornithapp/duae034.","productDescription":"duae034, 18 p.","ipdsId":"IP-162882","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":433608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bolivia, Brazil, Colombia, Ecuador, French Guiana, Guyana, Suriname, Venezuela","otherGeospatial":"Amazon Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.05634569050095,\n              4.057711384610741\n            ],\n            [\n              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,{"id":70259095,"text":"70259095 - 2024 - Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","interactions":[],"lastModifiedDate":"2024-09-27T11:59:37.62189","indexId":"70259095","displayToPublicDate":"2024-08-09T06:54:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">Imaging flow cytometry (IFC) is an emerging tool that allows for rapid identification and enumeration of phytoplankton in freshwater systems. However, few studies have assessed the effects of preservation on IFC results or compared live IFC and microscopy results in freshwater systems. Understanding the effects of preservation and differences between IFC and microscopy will improve interpretation of these data and inform strategies to use IFC-based approaches in freshwater systems. Our study objectives were to compare IFC and phase contrast with epifluorescence microscopy as techniques for phytoplankton identification and enumeration, and the effects of sample preservation with an emphasis on taxa forming harmful cyanobacterial blooms (HCBs). During June through October 2020, samples were collected from 2 lakes in the Finger Lakes region of New York. Live and preserved samples were analyzed by laboratory-based IFC, and preserved samples were analyzed by microscopy. The IFC approach captured community dynamics while detecting potential cyanobacterial bloom-forming taxa earlier and at lower abundances than microscopy. Laboratory-based IFC allowed for an intermediate level of taxonomic information when compared to microscopy, gross techniques, such as extracted chlorophyll<span>&nbsp;</span><i>a</i><span>&nbsp;</span>or fluorescence sensors, and field-based operation of IFC approaches. The laboratory-based application of IFC in this study allowed receipt of results in 5 d or less, a substantial improvement over microscopy, which can be time-consuming to conduct. However, the laboratory-based IFC approach had some limitations. Imaging flow cytometry-estimated biovolume may be less accurate than microscopy for some taxa because of the algorithms used to calculate biovolume, particularly for chrysophytes and coccoid cyanobacteria. Colonial dissociation during preservation appeared to affect detection of<span>&nbsp;</span><i>Microcystis</i><span>&nbsp;</span>by IFC less than for other fragile bloom-forming taxa like chrysophytes. Our study results advance understanding of how IFC may translate to field-based approaches for early harmful algal bloom indicators in freshwater.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2024.2370828","usgsCitation":"Gifford, S.R., St. Amand, A., Graham, J.L., Foster, G.M., Sauve, C., Clark, D., and Schroeder-Larkins, H., 2024, Comparison of imaging flow cytometry and microscopy for freshwater algal bloom detection: Lake and Reservoir Management, v. 40, no. 3, p. 221-235, https://doi.org/10.1080/10402381.2024.2370828.","productDescription":"15 p.","startPage":"221","endPage":"235","ipdsId":"IP-148212","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10402381.2024.2370828","text":"Publisher Index Page"},{"id":462318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"St. Amand, A. 0000-0003-2152-771X","orcid":"https://orcid.org/0000-0003-2152-771X","contributorId":334681,"corporation":false,"usgs":false,"family":"St. Amand","given":"A.","affiliations":[{"id":16763,"text":"PhycoTech, Inc.","active":true,"usgs":false}],"preferred":false,"id":914127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914128,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Guy M. 0000-0002-9581-057X gfoster@usgs.gov","orcid":"https://orcid.org/0000-0002-9581-057X","contributorId":149145,"corporation":false,"usgs":true,"family":"Foster","given":"Guy","email":"gfoster@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":914129,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauve, Cory","contributorId":344552,"corporation":false,"usgs":false,"family":"Sauve","given":"Cory","email":"","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914130,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clark, Denise","contributorId":344553,"corporation":false,"usgs":false,"family":"Clark","given":"Denise","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914131,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schroeder-Larkins, Hannah","contributorId":344554,"corporation":false,"usgs":false,"family":"Schroeder-Larkins","given":"Hannah","email":"","affiliations":[{"id":82390,"text":"PhycoTech Inc.","active":true,"usgs":false}],"preferred":false,"id":914132,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275620,"text":"70275620 - 2024 - An orbital comparison of a late mantling unit on Aeolis Mons with other erosion-resistant strata explored by MSL in Gale crater, Mars","interactions":[],"lastModifiedDate":"2026-05-05T15:48:11.309213","indexId":"70275620","displayToPublicDate":"2024-08-09T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9967,"text":"JGR Planets","active":true,"publicationSubtype":{"id":10}},"title":"An orbital comparison of a late mantling unit on Aeolis Mons with other erosion-resistant strata explored by MSL in Gale crater, Mars","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Previous investigations along&nbsp;</span><i>Curiosity</i><span>'s traverse in Gale crater have explored the relationship between orbital and in situ observations. This work aims to better understand the geologic environment of units only observable from orbit and compare them to the properties of units examined by&nbsp;</span><i>Curiosity</i><span>. Here, we map an erosion-resistant dark-toned mantling unit that overlies the modern topography of Aeolis Mons (informally known as Mt. Sharp) and compare this unit to two other previously mapped dark-toned resistant units, the marker band and the mound skirting unit (MSU), that have been inferred to represent different geologic environments (lacustrine and aeolian, respectively). Visible to short wave infrared spectra from the Compact Reconnaissance Imaging Spectrometer for Mars and visual images from the High Resolution Imaging Science Experiment and Context Cameras aboard the Mars Reconnaissance Orbiter are used for this comparison. Spectral data suggest a mafic composition with minor alteration, although the composition varies more with location around Mt. Sharp rather than between units. Morphologically, the mantling unit has strong similarities to the marker band based on their consistent low-albedo, erosion-resistance, and smooth appearance, contrasting with the highly variable surface texture of the MSU. We hypothesize that all three units had a similar sediment source but experienced aqueous alteration at different times: early ubiquitous cementation in a surface aqueous environment in the mantling unit and marker band versus patchy late diagenesis in the MSU. If true, these results suggest that water activity continued within the Gale crater long after the erosion of Mt. Sharp.</span></span></p>","language":"English","publisher":"AGU","doi":"10.1029/2023JE008242","usgsCitation":"Rudolph, A., Horgan, B., Bennett, K.A., Weitz, C.M., Sheppard, R., Banham, S.G., Bryk, A.B., Kite, E., Roberts, A., and Scuderi, L., 2024, An orbital comparison of a late mantling unit on Aeolis Mons with other erosion-resistant strata explored by MSL in Gale crater, Mars: JGR Planets, v. 129, no. 8, e2023JE008242, 23 p., https://doi.org/10.1029/2023JE008242.","productDescription":"e2023JE008242, 23 p.","ipdsId":"IP-158369","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":504198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023je008242","text":"Publisher Index Page"},{"id":503997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Aeolis Mons, Gale crater, Mars","volume":"129","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Rudolph, Amanda","contributorId":293555,"corporation":false,"usgs":false,"family":"Rudolph","given":"Amanda","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":961114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horgan, B.","contributorId":241733,"corporation":false,"usgs":false,"family":"Horgan","given":"B.","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":961115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":961116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weitz, Catherine M.","contributorId":210511,"corporation":false,"usgs":false,"family":"Weitz","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":true,"id":961117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheppard, R.Y.","contributorId":352397,"corporation":false,"usgs":false,"family":"Sheppard","given":"R.Y.","affiliations":[{"id":84205,"text":"Planetary Science Institute, Tucson, AZ, Institut d’Astrophysique Spatiale, Orsay, France","active":true,"usgs":false}],"preferred":false,"id":961118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Banham, S. G.","contributorId":172658,"corporation":false,"usgs":false,"family":"Banham","given":"S.","email":"","middleInitial":"G.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":961148,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bryk, A. B.","contributorId":265239,"corporation":false,"usgs":false,"family":"Bryk","given":"A.","email":"","middleInitial":"B.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":961119,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kite, E.","contributorId":241803,"corporation":false,"usgs":false,"family":"Kite","given":"E.","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":961120,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, A.","contributorId":199430,"corporation":false,"usgs":false,"family":"Roberts","given":"A.","affiliations":[],"preferred":false,"id":961121,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scuderi, L.","contributorId":371151,"corporation":false,"usgs":false,"family":"Scuderi","given":"L.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":961122,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257041,"text":"fs20233022 - 2024 - Volcanoes of American Samoa","interactions":[],"lastModifiedDate":"2026-01-27T17:36:39.453173","indexId":"fs20233022","displayToPublicDate":"2024-08-08T14:49:02","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":"2023-3022","displayTitle":"Mauga Mū a Amerika Samoa—Volcanoes of American Samoa","title":"Volcanoes of American Samoa","docAbstract":"<h1>Upu Amata (Introduction)</h1><p>O le Atu-Samoa o le tasi lenei o faʻasologa motu mauga mu i le Vasa Pasefika i Saute. O motu e pito i sasaʻe o nei faʻasologa mauga mu o le Atu-Samoa, o motu ia o Amerika Samoa. E tofu lava mauga mu taʻitasi o Amerika Samoa ma ona talaaga aemaise tulaga e tutupu e ono pa ai i le lumanai. O loʻo galulue faʻatasi le Ofisa o le U.S. Geological Survey (USGS) ma le National Oceanic and Atmospheric Administration Ofisa Vaʻai Tau i Pago Pago e faailoa i tagatanuʻu ma tagata asiasi o tulaga lamatia e ono tutupu. O loʻo faʻapupula atili atu iʻi auala na gaosia ai motu nei faʻapea auala o loʻo fesoasoani ai le vaega e mataʻituina mauga mū e puipui tagata ma mea-totino mai tulaga lamatia o mauga mū.</p><p>American Samoa comprises the easternmost islands of a volcanic island chain in the South Pacific Ocean. Each island of American Samoa has a unique eruptive history and a possibility for future eruptions. The U.S. Geological Survey (USGS) collaborates with the Pago Pago office of the National Oceanic and Atmospheric Administration National Weather Service to inform residents and travelers of potential hazards. Insights are provided herein on how the islands formed and how volcano monitoring helps protect people and property from volcanic hazards.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233022","collaboration":"Prepared in collaboration with the National Oceanic and Atmospheric Administration and the National Weather Service","usgsCitation":"Deligne, N.I., Downs, D.T., Lutu-McMoore, E., Sobieszczyk, S., and Stovall, W., 2024, Volcanoes of American Samoa: U.S. Geological Survey Fact Sheet 2023–3022, 6 p., https://doi.org/10.3133/fs20233022.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-149293","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499110,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117165.htm","linkFileType":{"id":5,"text":"html"}},{"id":432365,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3022/fs20233022.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432364,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3022/covrthb.jpg"}],"otherGeospatial":"American Samoa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -171.0463763705247,\n              -14.086896858027984\n            ],\n            [\n              -171.0463763705247,\n              -14.491460518612314\n            ],\n            [\n              -170.44762148771224,\n              -14.491460518612314\n            ],\n            [\n              -170.44762148771224,\n              -14.086896858027984\n            ],\n            [\n              -171.0463763705247,\n              -14.086896858027984\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/volcano-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/volcano-science-center\">Volcano Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>4210 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<ul><li>Introduction</li><li>American Samoa, a volcanic island chain</li><li>Types of volcanic activity in American Samoa</li><li>Eruption at Ofu-Olosega volcano (1866)</li><li>Volcanic unrest at Taʻū volcano (2022)</li><li>Volcano alert levels and aviation color codes</li><li>Stay informed, be prepared</li><li>More information</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-08-08","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lutu-McMoore, Elinor","contributorId":341954,"corporation":false,"usgs":false,"family":"Lutu-McMoore","given":"Elinor","email":"","affiliations":[{"id":81814,"text":"NOAA National Weather Service Pago Pago Office","active":true,"usgs":false}],"preferred":false,"id":909263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sobieszczyk, Steven 0000-0002-0834-8437","orcid":"https://orcid.org/0000-0002-0834-8437","contributorId":205030,"corporation":false,"usgs":true,"family":"Sobieszczyk","given":"Steven","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stovall, Wendy K. 0000-0003-2518-2595","orcid":"https://orcid.org/0000-0003-2518-2595","contributorId":214673,"corporation":false,"usgs":true,"family":"Stovall","given":"Wendy K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909265,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70267201,"text":"70267201 - 2024 - Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes","interactions":[],"lastModifiedDate":"2025-05-16T16:11:09.588236","indexId":"70267201","displayToPublicDate":"2024-08-08T09:07:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":808,"text":"Annual Review of Ecology, Evolution, and Systematics","active":true,"publicationSubtype":{"id":10}},"title":"Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes","docAbstract":"<p><span>Globally, winter temperatures are rising, and snowpack is shrinking or disappearing entirely. Despite previous research and published literature reviews, it remains unknown whether biomes across the globe will cross important thresholds in winter temperature and precipitation that will lead to significant ecological changes. Here, we combine the widely used Köppen–Geiger climate classification system with worst-case-scenario projected changes in global monthly temperature and precipitation to illustrate how multiple climatic zones across Earth may experience shifting winter conditions by the end of this century. We then examine how these shifts may affect ecosystems within corresponding biomes. Our analysis demonstrates potential widespread losses of extreme cold (&lt;−20°C) in Arctic, boreal, and cool temperate regions. We also show the possible disappearance of freezing temperatures (&lt;0°C) and large decreases in snowfall in warm temperate and dryland areas. We identify important and potentially irreversible ecological changes associated with crossing these winter climate thresholds.</span></p>","language":"English","publisher":"Annual Reviews","doi":"10.1146/annurev-ecolsys-110421-102101","usgsCitation":"Contosta, A., Arndt, K.A., Baulch, H.M., Casson, N.J., Harpold, A., Morelli, T.L., Siren, A., and Templer, P.H., 2024, Threshold changes in winter temperature and precipitation drive threshold responses across nine global climate zones and associated biomes: Annual Review of Ecology, Evolution, and Systematics, v. 55, p. 271-300, https://doi.org/10.1146/annurev-ecolsys-110421-102101.","productDescription":"30 p.","startPage":"271","endPage":"300","ipdsId":"IP-163898","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490132,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1146/annurev-ecolsys-110421-102101","text":"Publisher Index Page"},{"id":486088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Contosta, Alexandra R.","contributorId":355411,"corporation":false,"usgs":false,"family":"Contosta","given":"Alexandra R.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arndt, Kyle A.","contributorId":243098,"corporation":false,"usgs":false,"family":"Arndt","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":937253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baulch, Helen M.","contributorId":194573,"corporation":false,"usgs":false,"family":"Baulch","given":"Helen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":937254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":937255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harpold, Adrian","contributorId":269949,"corporation":false,"usgs":false,"family":"Harpold","given":"Adrian","affiliations":[{"id":56052,"text":"University of Nevada, Reno, Department of Natural Resources and Environmental Science","active":true,"usgs":false}],"preferred":false,"id":937256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937257,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Siren, Alexej P.K.","contributorId":355399,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P.K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937258,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Templer, Pamela H.","contributorId":167457,"corporation":false,"usgs":false,"family":"Templer","given":"Pamela","email":"","middleInitial":"H.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":937259,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264349,"text":"70264349 - 2024 - Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","interactions":[],"lastModifiedDate":"2025-03-12T13:55:43.660255","indexId":"70264349","displayToPublicDate":"2024-08-08T08:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging","docAbstract":"<p><span>The geologic framework of the Seattle fault zone (SFZ) has been extensively studied, but the structure and fault strand locations in the central portion of the fault zone through the city of Seattle have remained controversial. Much of what is known about the SFZ has come from light detection and ranging (lidar)‐topographic surveys and paleoseismic investigations of fault scarps primarily west of Puget Sound, regional gravity and aeromagnetic modeling, and multiscale marine seismic imaging in waters both west and east of Seattle. We analyze ∼24&nbsp;km of land‐based&nbsp;</span><i>P</i><span>‐wave seismic‐reflection data that fill in a critical gap in our understanding of the SFZ beneath the urban areas of West Seattle, south‐central Seattle, and Mercer Island. These data image deformed strata in the upper 1&nbsp;km, including upwarped Tertiary rock and younger sediments. Collectively, these data provide evidence for multiple Quaternary‐active thrust faults, back thrusts, and sub‐basins within the SFZ beneath the city of Seattle. The results indicate that multiple and potentially active back thrusts in the upper ∼500&nbsp;m extend across the length of the SFZ and the entire urban corridor that may be analogous to those on Bainbridge Island west of Puget Sound.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230050","usgsCitation":"Stephenson, W.J., Odum, J.K., and Pratt, T.L., 2024, Shallow faulting and folding beneath south‐central Seattle, Washington State, from land‐based high‐resolution seismic‐reflection imaging: The Seismic Record, v. 4, no. 3, p. 184-193, https://doi.org/10.1785/0320230050.","productDescription":"10 p.","startPage":"184","endPage":"193","ipdsId":"IP-159620","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487948,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230050","text":"Publisher Index Page"},{"id":483230,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.4020813981619\n            ],\n            [\n              -122.11956470840835,\n              47.62004863663242\n            ],\n            [\n              -122.72997503110628,\n              47.62004863663242\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":930477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Odum, Jack K. 0000-0002-3162-0355","orcid":"https://orcid.org/0000-0002-3162-0355","contributorId":97900,"corporation":false,"usgs":true,"family":"Odum","given":"Jack","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":930478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":930479,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}