{"pageNumber":"196","pageRowStart":"4875","pageSize":"25","recordCount":184617,"records":[{"id":70251498,"text":"70251498 - 2024 - Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","interactions":[],"lastModifiedDate":"2024-02-14T12:59:57.713694","indexId":"70251498","displayToPublicDate":"2024-02-02T06:58:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species","docAbstract":"<p>Migration allows birds to improve fitness by exploiting seasonal resource peaks and avoiding limitations. Migration strategies may differ among individuals within a species, but for all strategies, the benefit of increased fitness should outweigh the costs of migration. These costs can include increased mortality risk, time constraints in the annual cycle, and metabolic energy loss. We compared migratory chronology and routes of individuals from a broadly distributed species of waterfowl, the Lesser Scaup (<i>Aythya affinis</i>; hereafter Scaup), marked at the northern (66.51000° N, 145.98556° W) and southern (44.63778° N, 111.73694° W) extents of its breeding distribution in North America. Scaup breeding farther north in interior Alaska, USA migrated greater distances and had protracted migrations, especially in fall, compared to Scaup breeding farther south in southwest Montana, USA. During migration, Scaup breeding in Alaska used more staging and stopover areas compared to Scaup breeding in Montana. Scaup breeding in Alaska also spent less time at their breeding area and more time at their wintering areas compared to Scaup breeding in Montana. In addition, Scaup breeding in Alaska were largely absent from wintering areas in the Intermountain West that were used by Scaup breeding in Montana. These differences could have important effects on Scaup fitness and could contribute to differences in fecundity and recruitment observed across the Scaup’s broad latitudinal distribution. Understanding the fitness implications of intraspecific variation in migration strategies of broadly distributed species can assist resource managers by focusing conservation efforts on specific breeding populations, informing models of disease transmission, and improving projections of species’ responses to environmental change.</p>","language":"English","publisher":"Journal of Field Ornithology","doi":"10.5751/JFO-00402-950108","usgsCitation":"Hall, L.A., Latty, C.J., Warren, J.M., Takekawa, J., and De La Cruz, S.E., 2024, Contrasting migratory chronology and routes of Lesser Scaup: Implications of different migration strategies in a broadly distributed species: Journal of Field Ornithology, v. 95, no. 1, 8, 19 p., https://doi.org/10.5751/JFO-00402-950108.","productDescription":"8, 19 p.","ipdsId":"IP-141647","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440534,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00402-950108","text":"Publisher Index Page"},{"id":435049,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QERTWN","text":"USGS data release","linkHelpText":"Tracking Data for Lesser Scaup (Aythya affinis)"},{"id":425647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Latty, Christopher J.","contributorId":146588,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":894738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey M.","contributorId":266135,"corporation":false,"usgs":false,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":54925,"text":"Environmental Sciences Division and Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA","active":true,"usgs":false}],"preferred":false,"id":894739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":894740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894741,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251363,"text":"70251363 - 2024 - Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions","interactions":[],"lastModifiedDate":"2024-02-07T12:59:59.734845","indexId":"70251363","displayToPublicDate":"2024-02-02T06:57:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara010\"><span>Kīlauea Volcano experiences centuries-long cycles of explosive and effusive eruptive behavior, but the relation, if any, between these eruptive styles and changing conditions in the magma plumbing system remains poorly known. We analyze olivine-hosted melt and&nbsp;fluid inclusions&nbsp;to determine magma storage depths during the explosive-era Keanakākoʻi Tephra eruptions (∼1500–1840 CE) and compare these results to modern effusive-era Kīlauea eruptions (1959 Kīlauea Iki, 1960 Kapoho, 2018 lower East Rift Zone). We find that shallow (1–3 km) magma storage has persisted for centuries at Kīlauea, spanning both explosive and effusive periods. In contrast, mid-crustal zones of magma storage shallowed over time, from 5 to 8 km during the Keanakākoʻi sequence to 3–5 km during the modern effusive period. Melt and fluid inclusions in high-forsterite olivine (Fo</span><sub>86–89</sub>) trapped at shallow depths indicate that high-temperature magmas (1200 to ∼1300 °C) commonly reach depths of ≤3 km. CO<sub>2</sub>-rich fluid inclusions are present in olivine from all investigated Kīlauea eruptions but are larger and much more abundant in Keanakākoʻi units, which we interpret as indicating that a greater volume fraction of exsolved CO<sub>2</sub>-rich fluid was present in pre-eruptive Keanakākoʻi melts. Increased amounts of CO<sub>2</sub>-rich fluids in the Keanakākoʻi-era magmas would have increased magma buoyancy and driven rapid magma ascent, thereby increasing eruption energy and enhancing near-surface magma-water interactions compared to the current effusive period.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118579","usgsCitation":"Lerner, A., Sublett, D.M., Wallace, P.J., Cauley, C., and Bodnar, R., 2024, Insights into magma storage depths and eruption controls at Kīlauea Volcano during explosive and effusive periods of the past 500 years based on melt and fluid inclusions: Earth and Planetary Science Letters, v. 628, 118579, https://doi.org/10.1016/j.epsl.2024.118579.","productDescription":"118579","ipdsId":"IP-149536","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498280,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118579","text":"Publisher Index Page"},{"id":425464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.465215669063,\n              19.588539356383478\n            ],\n            [\n              -155.465215669063,\n              19.23786812884255\n            ],\n            [\n              -154.99069868857856,\n              19.23786812884255\n            ],\n            [\n              -154.99069868857856,\n              19.588539356383478\n            ],\n            [\n              -155.465215669063,\n              19.588539356383478\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"628","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":894270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sublett, D. Matthew","contributorId":261188,"corporation":false,"usgs":false,"family":"Sublett","given":"D.","email":"","middleInitial":"Matthew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":894271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wallace, Paul J.","contributorId":199700,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":894272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cauley, Christina","contributorId":333908,"corporation":false,"usgs":false,"family":"Cauley","given":"Christina","email":"","affiliations":[{"id":80009,"text":"Dept. of Earth Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":894273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bodnar, Robert J.","contributorId":261193,"corporation":false,"usgs":false,"family":"Bodnar","given":"Robert J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":894274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251353,"text":"70251353 - 2024 - Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals","interactions":[],"lastModifiedDate":"2024-02-07T12:53:39.100985","indexId":"70251353","displayToPublicDate":"2024-02-02T06:50:26","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":"Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Eutrophication has been a major environmental issue in many coastal and inland ecosystems, which is primarily attributed to excessive anthropogenic inputs of nutrients. Restoration efforts have therefore focused on the reduction of watershed nutrient loads, including in the Chesapeake Bay (USA). To facilitate watershed management, watershed models are often developed and used to assess the expected impact of scenarios of past and future management policies and practices and the impact of watershed conditions. However, the level of load reductions estimated using monitoring data often does not match with model predictions, which may cast doubt on the effectiveness of the restoration efforts, the reliability of the model, and the prospect of achieving pre-established reduction goals. To better reconcile such inconsistencies between expectation (i.e., modeling estimates) and reality (i.e., monitoring information), a watershed-wide indicator was developed for the Chesapeake Bay watershed to explicitly quantify the progress toward nutrient reduction goals in the context of the Chesapeake Bay Total Maximum Daily Load (TMDL). Results of the indicator show that since 1995 long-term progress has been made toward the TMDL planning targets for both nitrogen and phosphorus. Specifically, management practices that are implemented and realized (in monitoring data) have been increasing over time, whereas management practices that need to be implemented in the future to meet the goals have been decreasing. In addition, the progress of nutrient reduction toward meeting the goals has varied with source sectors and watershed locations: i.e., point source management has been fully or nearly fully implemented, whereas nonpoint source management has been implemented by 50%-70%. In summary, this indicator, which is largely based on monitoring data, can provide at least four benefits: (1) evaluating the validity of the modeled estimates of nutrient reductions by comparing them to monitoring information; (2) placing the monitored riverine trends into a management context; (3) comparing progress between different nutrient source sectors and watershed locations; and (4) facilitating communication of the progress to the Chesapeake Bay Program Partnership and the public. Although we focus on the indicator development and interpretation for the Chesapeake Bay watershed, the framework can be transferred to watersheds within and beyond this watershed, where similar modeling and monitoring information exists, to gauge expectations on the trajectory and pace of the progress toward meeting restoration goals.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.111357","usgsCitation":"Zhang, Q., Shenk, G.W., Bhatt, G., and Bertani, I., 2024, Integrating monitoring and modeling information to develop an indicator of watershed progress toward nutrient reduction goals: Ecological Indicators, v. 158, 111357, 13 p., https://doi.org/10.1016/j.ecolind.2023.111357.","productDescription":"111357, 13 p.","ipdsId":"IP-159025","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":440538,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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State University","active":true,"usgs":false}],"preferred":false,"id":894226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":894227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251322,"text":"70251322 - 2024 - Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet","interactions":[],"lastModifiedDate":"2024-02-05T12:35:14.683876","indexId":"70251322","displayToPublicDate":"2024-02-02T06:33:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":857,"text":"Aquaculture Research","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet","docAbstract":"<p>Conservation aquaculture provides a means for promoting environmental stewardship, useful both in the context of restoring native species and limiting the production of invasive species. Aquaculture of lampreys is a relatively recent endeavor aimed primarily at producing animals to support the restoration of declining native populations. However, in the Laurentian Great Lakes, where sea lamprey<span>&nbsp;</span><i>Petromyzon marinus</i><span>&nbsp;</span>are invasive, the ability to acquire a reliable source of certain life stages would be a significant benefit to those controlling their populations and studying the species. Here, we apply methodologies developed for Pacific lamprey<span>&nbsp;</span><i>Entosphenus tridentatus</i><span>&nbsp;</span>restoration to investigate the feasibility of rearing larval sea lamprey under laboratory conditions. In two experiments lasting 3 and 9 months, we tested the effects of different dietary sources and water temperature (ambient and controlled) on the survival and growth of wild-caught larvae. Rearing conditions had no effect on mortality, as larval survival was 100% in both experiments. Growth was significantly affected by water temperature, with the highest average daily growth rates observed at 22 and 15°C (0.14 mm day<sup>−1</sup>) and lowest at 8°C (0.06 mm day<sup>−1</sup>). Diets of yeast alone (0.19 and 0.21 g L<sup>−1</sup>) performed better than those comprising a mixture of yeast and other material when fed 3 times weekly (rice flour, wheat flour, fish meal; 0.19 and 0.32 g L<sup>−1</sup>). Averaged across the three constant temperatures (8, 15, and 22°C), larvae fed on yeast grew 0.13 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>, whereas on yeast + fish meal, they grew 0.09 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>. At ambient temperature (4–20°C), larvae fed on yeast grew 0.15 mm day<sup>−1</sup><span>&nbsp;</span>and 0.01 g day<sup>−1</sup>, whereas those fed on yeast + wheat flour grew 0.13 mm day<sup>−1</sup><span>&nbsp;</span>and 0.008 g day<sup>−1</sup><span>&nbsp;</span>and those fed on yeast + rice flour grew 0.12 mm day<sup>−1</sup><span>&nbsp;</span>and 0.009 g day<sup>−1</sup>. An experimental duration of 90 days was sufficient to detect significant changes to larval sea lamprey growth stemming from temperature variation. Overall, rearing of sea lamprey in captivity appears feasible at low density (31–32 g m<sup>−2</sup><span>&nbsp;</span>and 17–25 larvae m<sup>−2</sup>), but uncertainties remain regarding the most appropriate means of providing adequate feed for these fish in high-density conditions.</p>","language":"English","publisher":"Wiley","doi":"10.1155/2024/5547340","usgsCitation":"Hume, J.B., Bennis, S., Bruning, T., Docker, M.F., Good, S., Lampman, R., Rinchard, J., Searcy, T.L., Wilkie, M.P., and Johnson, N.S., 2024, Evaluation of larval sea lamprey Petromyzon marinus growth in the laboratory: Influence of temperature and diet: Aquaculture Research, 5547340, 11 p., https://doi.org/10.1155/2024/5547340.","productDescription":"5547340, 11 p.","ipdsId":"IP-160269","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":440540,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/5547340","text":"Publisher Index Page"},{"id":425376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hume, John B.","contributorId":150987,"corporation":false,"usgs":false,"family":"Hume","given":"John","email":"","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":894119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennis, Skyler","contributorId":333857,"corporation":false,"usgs":false,"family":"Bennis","given":"Skyler","email":"","affiliations":[{"id":79991,"text":"USGS, Great Lakes Science Center, Hammond Bay Biological Station, Former NAGT Intern","active":true,"usgs":false}],"preferred":false,"id":894120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Docker, Margaret F.","contributorId":195099,"corporation":false,"usgs":false,"family":"Docker","given":"Margaret","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":894122,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Good, Sara","contributorId":333858,"corporation":false,"usgs":false,"family":"Good","given":"Sara","email":"","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":894123,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":894124,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rinchard, Jacques 0000-0002-6247-2551","orcid":"https://orcid.org/0000-0002-6247-2551","contributorId":316604,"corporation":false,"usgs":false,"family":"Rinchard","given":"Jacques","email":"","affiliations":[{"id":68652,"text":"State Univeristy of New York College at Brockport","active":true,"usgs":false}],"preferred":false,"id":894125,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Searcy, Trisha Leigh 0009-0001-1482-9173","orcid":"https://orcid.org/0009-0001-1482-9173","contributorId":333859,"corporation":false,"usgs":true,"family":"Searcy","given":"Trisha","email":"","middleInitial":"Leigh","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894126,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wilkie, Michael P.","contributorId":191045,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":894127,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":894128,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70251256,"text":"dr1184 - 2024 - Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands","interactions":[],"lastModifiedDate":"2026-01-27T17:20:44.957631","indexId":"dr1184","displayToPublicDate":"2024-02-01T10:59:31","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":"1184","displayTitle":"Forecasting Storm-Induced Coastal Flooding for 21st Century Sea-Level Rise Scenarios in the Hawaiian, Mariana, and American Samoan Islands","title":"Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands","docAbstract":"<p>Oceanographic, coastal engineering, ecologic, and geospatial data and tools were combined to evaluate the increased risks of storm-induced coastal flooding in the populated Hawaiian, Mariana, and American Samoan Islands as a result of climate change and sea-level rise. We followed a hybrid (dynamical and statistical) downscaling approach to map flooding due to waves and storm surge at 10-square meter resolution along all 1,870 kilometers of these islands’ coastlines for annual (1-year), 20-year, and 100-year return-interval storm events and +0.00 meter (m), +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m sea-level rise scenarios. We quantified the coastal flood depths and extents using the latest climate forcing from Intergovernmental Panel for Climate Change’s Sixth Assessment Report Coupled Model Intercomparison Project. The data generated using these methods provide stakeholders and decision makers with a spatially explicit, rigorous valuation of how, where, and when climate change and sea-level rise increase coastal storm-induced flooding to help identify areas where management and (or) restoration could potentially help reduce the risk to, and increase the resiliency of, the coastal communities in the populated Hawaiian, Mariana, and American Samoan Islands.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1184","usgsCitation":"Storlazzi, C.D., Reguero, B.G., Gaido L., C., Alkins, K.C., Lowrie, C., Nederhoff, K.M., Erikson, L.H., O’Neill, A.C., and Beck, M.W., 2024, Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey Data Report 1184, 21 p., https://doi.org/10.3133/dr1184.","productDescription":"Report: iv, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","ipdsId":"IP-151075","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499103,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116008.htm","text":"Guam"},{"id":499102,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116007.htm","text":"Maui, Hawaii"},{"id":425198,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1184/dr1184.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":425197,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1184/covrthb.jpg"},{"id":425199,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1184/dr1184.xml"},{"id":425200,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1184/images"},{"id":425201,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1184/full"},{"id":425196,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RIQ7S7","text":"USGS Data Release","description":"Alkins, K.C., Gaido L., C., Reguero, B.G, and Storlazzi, C.D., 2024, Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey data release, https://doi.org/10.5066/P9RIQ7S7.","linkHelpText":"Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -160.95732441583095,\n              22.88608719647806\n            ],\n            [\n              -160.95732441583095,\n              18.613495973781937\n            ],\n            [\n              -153.97001972833093,\n              18.613495973781937\n            ],\n            [\n              -153.97001972833093,\n              22.88608719647806\n            ],\n            [\n              -160.95732441583095,\n              22.88608719647806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","tableOfContents":"<ul><li>Abstract&nbsp;</li><li>Introduction&nbsp;</li><li>Methodology&nbsp;</li><li>Conclusions&nbsp;</li><li>Acknowledgments&nbsp;</li><li>References Cited&nbsp;</li><li>Appendix 1. SWAN Model Settings&nbsp;</li><li>Appendix 2. SWAN Model Grid Information&nbsp;</li><li>Appendix 3. Bathymetric Datasets&nbsp;</li><li>Appendix 4. Cross-shore XBeach Transects&nbsp;</li><li>Appendix 5. XBeach Model Settings&nbsp;</li><li>Appendix 6. Benthic Habitat and Shoreline Datasets&nbsp;</li><li>Appendix 7. SFINCS Model Settings&nbsp;</li><li>Appendix 8. SFINCS Model Grid Information</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-02-01","noUsgsAuthors":false,"publicationDate":"2024-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893677,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja G. 0000-0001-5526-7157","orcid":"https://orcid.org/0000-0001-5526-7157","contributorId":193831,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","email":"","middleInitial":"G.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":893678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaido L., Camila","contributorId":259296,"corporation":false,"usgs":false,"family":"Gaido L.","given":"Camila","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":893679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alkins, Kristen C. 0000-0003-3647-2678 kalkins@usgs.gov","orcid":"https://orcid.org/0000-0003-3647-2678","contributorId":333714,"corporation":false,"usgs":true,"family":"Alkins","given":"Kristen","email":"kalkins@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":893680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowry, Chris","contributorId":67387,"corporation":false,"usgs":true,"family":"Lowry","given":"Chris","email":"","affiliations":[],"preferred":false,"id":893681,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":893682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893683,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Neill, Andrea C. 0000-0003-1656-4372 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0003-1656-4372","contributorId":5351,"corporation":false,"usgs":true,"family":"O'Neill","given":"Andrea C.","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":893684,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":893685,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70270068,"text":"70270068 - 2024 - Findings from a decade of ground motion simulation validation research and a path forward","interactions":[],"lastModifiedDate":"2025-08-08T15:28:53.238837","indexId":"70270068","displayToPublicDate":"2024-02-01T10:26:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Findings from a decade of ground motion simulation validation research and a path forward","docAbstract":"<p><span>Simulated ground motions have the potential to advance seismic hazard assessments and structural response analyses, particularly for conditions with limited recorded ground motions such as large magnitude earthquakes at short source-to-site distances. However, rigorous validation of simulated ground motions is needed for hazard analysts, practicing engineers, or regulatory bodies to be confident in their use. A decade ago, validation exercises were mainly limited to comparisons of simulated-to-observed waveforms and median values of spectral accelerations for selected earthquakes. The Southern California Earthquake Center (SCEC) Ground Motion Simulation Validation (GMSV) group was formed to increase coordination between simulation modelers and research engineers with the aim of devising and applying more effective methods for simulation validation. Here, we summarize what has been learned in over a decade of GMSV activities, principally reflecting the views of the SCEC research community but also extending our findings and suggestions for a path forward to broader United States and worldwide simulation validation efforts. We categorize different validation methods according to their approach and the metrics considered. Two general approaches are to compare validation metrics from simulations to those from historical records or to those from semi-empirical models. Validation metrics are categorized into ground motion characteristics and structural responses. We discuss example validation studies that have been impactful in the past decade and suggest future research directions. Key lessons learned are that validation is application-specific, our outreach and dissemination need improvement, and much validation-related research remains unexplored.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930231212475","usgsCitation":"Rezaeian, S., Stewart, J., Luco, N., and Goulet, C.A., 2024, Findings from a decade of ground motion simulation validation research and a path forward: Earthquake Spectra, v. 40, no. 1, p. 346-378, https://doi.org/10.1177/87552930231212475.","productDescription":"33 p.","startPage":"346","endPage":"378","ipdsId":"IP-155594","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494185,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/3wm8s4pg","text":"External Repository"},{"id":493849,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Jonathan P.","contributorId":350854,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathan P.","affiliations":[{"id":83855,"text":"University of California, Los Angeles, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":945293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goulet, Christine A. 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":194805,"corporation":false,"usgs":false,"family":"Goulet","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":945295,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251710,"text":"70251710 - 2024 - Applesnails are creeping further north in the Southeastern U.S.","interactions":[],"lastModifiedDate":"2025-03-13T15:26:23.148701","indexId":"70251710","displayToPublicDate":"2024-02-01T10:20:32","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":20256,"text":"Southeast Climate Adaptation Science Center Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Applesnails are creeping further north in the Southeastern U.S.","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Southeast Regional Invasive Species & Climate Change (SE RISCC) Management Network","usgsCitation":"Morningstar, C.R., and Evans, P., 2024, Applesnails are creeping further north in the Southeastern U.S.: Southeast Climate Adaptation Science Center Newsletter, no. February 2024, 2 p.","productDescription":"2 p.","ipdsId":"IP-162038","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483260,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/2024/02/20/february-2024-newsletter/","linkFileType":{"id":5,"text":"html"}},{"id":483261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Mississippi, North Carolina, South Carolina","otherGeospatial":"Southeastern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.82647878974711,\n              31.048364248841608\n            ],\n            [\n              -89.68746658118322,\n              30.261511083970717\n            ],\n            [\n              -86.97599526084885,\n              30.089701952383976\n            ],\n            [\n              -85.33378169015377,\n              29.641014024744663\n            ],\n            [\n              -83.94839878822908,\n              29.857272185519207\n            ],\n            [\n              -82.8133762066386,\n              27.100492037156897\n            ],\n            [\n              -80.83250921308965,\n              24.647728132711407\n            ],\n            [\n              -79.55311100619325,\n              26.942344500889988\n            ],\n            [\n              -81.34923572863993,\n              30.669276287100942\n            ],\n            [\n              -77.89375001701151,\n              33.796512348221896\n            ],\n            [\n              -79.7597064218746,\n              35.31158868808431\n            ],\n            [\n              -84.27936159181155,\n              33.18075734828294\n            ],\n            [\n              -87.11789285434968,\n              32.937484761401365\n            ],\n            [\n              -89.82647878974711,\n              31.048364248841608\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"February 2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morningstar, Cayla R. 0000-0002-0078-9430","orcid":"https://orcid.org/0000-0002-0078-9430","contributorId":219325,"corporation":false,"usgs":true,"family":"Morningstar","given":"Cayla","email":"","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":895357,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Paul","contributorId":334354,"corporation":false,"usgs":false,"family":"Evans","given":"Paul","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":895358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254900,"text":"70254900 - 2024 - Beaver dam analogs did not improve beaver translocation outcomes in a desert river","interactions":[],"lastModifiedDate":"2024-06-10T15:34:36.216805","indexId":"70254900","displayToPublicDate":"2024-02-01T10:14:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Beaver dam analogs did not improve beaver translocation outcomes in a desert river","docAbstract":"<p><span>Stream restoration programs employ beaver-related restoration techniques, including beaver translocations and installation of beaver dam analogs (BDA), to create complex in-stream habitat. We investigated whether BDA installations improved the probability of translocated beavers surviving and colonizing a section of a degraded desert river. We translocated beavers fitted with tracking devices to the Price River, Utah, United States, for 2 years before and after BDAs were installed. We monitored survival and site fidelity of beavers to estimate apparent survival (</span><i>φ</i><span>), using model selection to evaluate models with BDA, flow, and other factors hypothesized to relate to apparent survival. We found similar apparent survival 8 weeks post-release of pre-BDA (</span><i>φ</i><span> = 0.50 ± 0.08 SE) and post-BDA beavers (</span><i>φ</i><span> = 0.41 ± 0.06 SE). There were 15 predator-caused mortalities and 39 beavers emigrated out of the study site. Top models indicated apparent survival was negatively related to mean flow. Of the 70 BDAs constructed, beaver activity was detected on only two structures and the number of intact natural dams decreased due to monsoon floods. Our results suggest BDAs may not improve survival and site fidelity of translocated beavers in desert river systems. Instead, the dynamic flow of desert rivers and negative relationship between flow and apparent survival suggest the timing of release may be an important consideration for successful beaver translocation. Additional research is needed to understand how habitat, food availability, individual behavior, and resident conspecifics influence beaver translocation success.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14107","usgsCitation":"Sandbach, C., Young, J., Conner, M., Hansen, E., and Budy, P., 2024, Beaver dam analogs did not improve beaver translocation outcomes in a desert river: Restoration Ecology, v. 32, no. 4, e14107, 11 p., https://doi.org/10.1111/rec.14107.","productDescription":"e14107, 11 p.","ipdsId":"IP-155481","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Utah","otherGeospatial":"Price River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.20473970874204,\n              39.220067748827375\n            ],\n            [\n              -110.20473970874204,\n              39.117086377259085\n            ],\n            [\n              -110.08787541978356,\n              39.117086377259085\n            ],\n            [\n              -110.08787541978356,\n              39.220067748827375\n            ],\n            [\n              -110.20473970874204,\n              39.220067748827375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandbach, Christine","contributorId":337970,"corporation":false,"usgs":false,"family":"Sandbach","given":"Christine","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Julie K.","contributorId":337971,"corporation":false,"usgs":false,"family":"Young","given":"Julie K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Conner, Mary","contributorId":337972,"corporation":false,"usgs":false,"family":"Conner","given":"Mary","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Emma","contributorId":337973,"corporation":false,"usgs":false,"family":"Hansen","given":"Emma","email":"","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":902815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902816,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257420,"text":"70257420 - 2024 - Survival, cause-specific mortality, and population growth of white-tailed deer in western Virginia","interactions":[],"lastModifiedDate":"2024-08-30T17:06:15.833817","indexId":"70257420","displayToPublicDate":"2024-02-01T09:59:40","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":"Survival, cause-specific mortality, and population growth of white-tailed deer in western Virginia","docAbstract":"<p><span>Understanding the role of recruitment in population dynamics of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) is important for management. In the central Appalachian Mountains, deer are part of a largely forested ecosystem that supports 3 carnivore species thought to be capable of influencing white-tailed deer recruitment: black bears (</span><i>Urus americanus</i><span>), coyotes (</span><i>Canis latrans</i><span>), and bobcats (</span><i>Lynx rufus</i><span>). Yet little is known about predation, how other environmental factors influence recruitment, or the importance of neonate survival to white-tailed deer population performance in the region. Our objectives were to identify causes of mortality for neonates, analyze effects of landscape attributes on survival of neonates, estimate survival rates for neonates and adult female white-tailed deer, and to model population growth trends based on current vital rates and hypothetical harvest and neonate survival scenarios. During 2019–2020, we captured 57 neonate deer in Bath County, Virginia, USA, by monitoring 38 pregnant females equipped with global positioning system collars and vaginal implant transmitters and by conducting transect searches for recently born neonates. We observed 37 neonate mortalities and identified cause of death using field and genetic evidence. Mortalities included 28 predation events and 9 deaths from other causes (e.g., abandonment, malnutrition, disease). Black bears accounted for 48.6% of neonate mortalities, and 64.2% of predation events (</span><i>n</i><span> = 18), followed by bobcats (</span><i>n</i><span> = 5) and coyotes (</span><i>n</i><span> = 3). Annual survival for adult female deer was 0.871 and neonate survival to 12 weeks old was 0.310. Elevation was a significant predictor of neonate survival; mortality risk increased 20% for every 100-m increase in elevation. Models of annual population growth using observed vital rates predicted an increasing population (λ = 1.10). A 10% increase in female harvest would still result in a potential population increase of 2% (λ = 1.02), but a 20% increase in harvest rate would result in a potential 7% decline (λ = 0.93). Neonate survival was higher near fertile valley bottoms and lower along forested ridges characterized by shallow, infertile soils and limited edge or early successional forests. While predation, largely influenced by black bears, was the leading cause of neonate mortality and contributed to low neonate survival, we observed little evidence of population decline, and suggest there is opportunity for a modest increase in harvest of female deer.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.22528","usgsCitation":"Clevinger, G.B., Ford, W., Kelly, M., Alonso, R., DeYoung, R.W., Lafon, N.W., and Cherry, M., 2024, Survival, cause-specific mortality, and population growth of white-tailed deer in western Virginia: Journal of Wildlife Management, v. 88, no. 2, e22528, 21 p., https://doi.org/10.1002/jwmg.22528.","productDescription":"e22528, 21 p.","ipdsId":"IP-150818","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22528","text":"Publisher Index 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Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Marcella J.","contributorId":342697,"corporation":false,"usgs":false,"family":"Kelly","given":"Marcella J.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alonso, Robert  S.","contributorId":342698,"corporation":false,"usgs":false,"family":"Alonso","given":"Robert  S.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910289,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeYoung, Randy W.","contributorId":342699,"corporation":false,"usgs":false,"family":"DeYoung","given":"Randy","email":"","middleInitial":"W.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":910290,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lafon, Nelson W.","contributorId":342700,"corporation":false,"usgs":false,"family":"Lafon","given":"Nelson","email":"","middleInitial":"W.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":910291,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cherry, Michael J.","contributorId":342702,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael J.","affiliations":[{"id":81913,"text":"Texas A&M University - Kingsville","active":true,"usgs":false}],"preferred":false,"id":910292,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266278,"text":"70266278 - 2024 - Complete genome sequence of a novel papillomavirus in Siamese fighting fish (Betta splendens) from Trinidad and Tobago","interactions":[],"lastModifiedDate":"2025-05-02T14:44:41.714995","indexId":"70266278","displayToPublicDate":"2024-02-01T09:41:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Complete genome sequence of a novel papillomavirus in Siamese fighting fish (<i>Betta splendens</i>) from Trinidad and Tobago","title":"Complete genome sequence of a novel papillomavirus in Siamese fighting fish (Betta splendens) from Trinidad and Tobago","docAbstract":"<p><span>Here, we announce the complete genome of a previously undescribed papillomavirus from a betta fish,&nbsp;</span><i>Betta splendens</i><span>. The genome is 5,671 bp with a GC content of 38.2%. Variants were detected in public databases. This genome is most similar to papillomaviruses that infect sea bass (52.9 % nucleotide identity).</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/mra.00999-23","usgsCitation":"Blake, L., Phillips-Savage, A., Soto, E., Oura, C., Brown-Jordan, A., Raines, C.D., Buck, C.B., and Iwanowicz, L., 2024, Complete genome sequence of a novel papillomavirus in Siamese fighting fish (Betta splendens) from Trinidad and Tobago: Microbiology Resource Announcements, v. 13, no. 3, 00999-23, 4 p., https://doi.org/10.1128/mra.00999-23.","productDescription":"00999-23, 4 p.","ipdsId":"IP-145425","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mra.00999-23","text":"Publisher Index Page"},{"id":485324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Lemar","contributorId":354294,"corporation":false,"usgs":false,"family":"Blake","given":"Lemar","affiliations":[{"id":84611,"text":"University of the West Indies, St Augustine, Trinidad and Tobago, W.I.","active":true,"usgs":false}],"preferred":false,"id":935362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips-Savage, A. Carla","contributorId":354295,"corporation":false,"usgs":false,"family":"Phillips-Savage","given":"A. Carla","affiliations":[{"id":84611,"text":"University of the West Indies, St Augustine, Trinidad and Tobago, W.I.","active":true,"usgs":false}],"preferred":false,"id":935363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soto, Esteban","contributorId":265184,"corporation":false,"usgs":false,"family":"Soto","given":"Esteban","affiliations":[{"id":54631,"text":"Department of Medicine and Epidemiology, University of California-Davis, School of Veterinary Medicine, Davis, CA","active":true,"usgs":false}],"preferred":false,"id":935364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oura, Christopher","contributorId":354296,"corporation":false,"usgs":false,"family":"Oura","given":"Christopher","affiliations":[{"id":84611,"text":"University of the West Indies, St Augustine, Trinidad and Tobago, W.I.","active":true,"usgs":false}],"preferred":false,"id":935365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown-Jordan, Arianne","contributorId":354297,"corporation":false,"usgs":false,"family":"Brown-Jordan","given":"Arianne","affiliations":[{"id":84614,"text":"The University of the West Indies, St. Augustine, Trinidad and Tobago","active":true,"usgs":false}],"preferred":false,"id":935366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":935367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buck, Christopher B.","contributorId":354298,"corporation":false,"usgs":false,"family":"Buck","given":"Christopher","middleInitial":"B.","affiliations":[{"id":84615,"text":"Lab of Cellular Oncology, National Cancer Institute, National Institutes of Health","active":true,"usgs":false}],"preferred":false,"id":935368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":935369,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254325,"text":"70254325 - 2024 - A tale of two islands: Tectonic and orbital controls on marine terrace reoccupation, Channel Islands National Park, California, USA","interactions":[],"lastModifiedDate":"2024-05-17T14:30:56.001855","indexId":"70254325","displayToPublicDate":"2024-02-01T09:29:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2437,"text":"Journal of Quaternary Science","active":true,"publicationSubtype":{"id":10}},"title":"A tale of two islands: Tectonic and orbital controls on marine terrace reoccupation, Channel Islands National Park, California, USA","docAbstract":"<p><span>In areas of low uplift rate on the Pacific Coast of North America, reoccupation of emergent marine terraces by later high sea-stands has been hypothesised to explain the existence of thermally anomalous fauna (mixtures of warm and cool species) of last interglacial age. If uplift rates have been low for much of the Quaternary, it follows that higher (older) terraces should also show evidence of reoccupation. Strontium isotope analyses of fossils from a high-elevation marine terrace on Anacapa Island, California, yield ages ranging from ~2.4–2.3 Ma to ~1.4–1.5 Ma. These results indicate that terrace reoccupation and fossil mixing on Anacapa Island could have taken place over several interglacial periods in the early Pleistocene. Terrace reoccupation over this time period is likely a function of both a low uplift rate and the timing of orbital forcing of glacial–interglacial cycles. Climate change in the early Pleistocene was modulated by the 41 ka obliquity cycle, and glacial–interglacial cycles were much shorter than later in the Pleistocene. Nearby San Miguel Island also has evidence of terrace reoccupation, with Sr isotope ages of shells from several high-elevation terraces ranging from ~1.21–1.25 Ma to ~0.43–0.50 Ma. However, the frequency of terrace reoccupation was lower than on Anacapa Island. The uplift rate of San Miguel Island is higher than that of Anacapa Island and terraces formed when glacial–interglacial cycles were longer. The frequency of marine terrace reoccupation is controlled by the rate of tectonic uplift and the timing of orbital forcing of sea level change during glacial–interglacial cycles.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jqs.3581","usgsCitation":"Muhs, D.R., Groves, L.T., Simmons, K., Schumann, R., and DeVogel, S.B., 2024, A tale of two islands: Tectonic and orbital controls on marine terrace reoccupation, Channel Islands National Park, California, USA: Journal of Quaternary Science, v. 39, no. 2, p. 173-207, https://doi.org/10.1002/jqs.3581.","productDescription":"35 p.","startPage":"173","endPage":"207","ipdsId":"IP-133109","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":467033,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jqs.3581","text":"Publisher Index Page"},{"id":428801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands National Park, Santa Cruz Island, Santa Rosa Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.28400740247886,\n              34.115154538455855\n            ],\n            [\n              -120.28400740247886,\n              33.8719024560247\n            ],\n            [\n              -119.48309156555229,\n              33.8719024560247\n            ],\n            [\n              -119.48309156555229,\n              34.115154538455855\n            ],\n            [\n              -120.28400740247886,\n              34.115154538455855\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":900983,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groves, Lindsey T.","contributorId":213427,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","email":"","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":900984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":900985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumann, R. Randall 0000-0001-8158-6960","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":336770,"corporation":false,"usgs":false,"family":"Schumann","given":"R. Randall","affiliations":[{"id":55498,"text":"U.S. Geological Survey, Emeritus","active":true,"usgs":false}],"preferred":false,"id":900986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeVogel, Stephen B.","contributorId":150196,"corporation":false,"usgs":false,"family":"DeVogel","given":"Stephen","email":"","middleInitial":"B.","affiliations":[{"id":6709,"text":"University of Colorado, Denver","active":true,"usgs":false}],"preferred":false,"id":900987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257903,"text":"70257903 - 2024 - From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales","interactions":[],"lastModifiedDate":"2024-09-03T14:23:23.518853","indexId":"70257903","displayToPublicDate":"2024-02-01T09:09:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales","docAbstract":"<p><span>Prioritizing restoration opportunities effectively across entire riverscape networks (i.e., riverine landscape including floodplain and stream channel networks) can be difficult when relying on in-channel, reach-scale monitoring data, or watershed-level summaries that fail to capture riverscape heterogeneity and the information necessary to implement restoration actions. Leveraging remote sensing and geospatial tools to develop spatially continuous information across nested hierarchical scales may support increased understanding of local riverscape reaches in their broader network context. Using riparian (vegetation) and geomorphic (elevation) indicators to assess status of riverscape health, along with a measure of restoration capacity (valley bottom area), could be adapted to fit specific management goals related to riverscape restoration. Frameworks using remotely sensed vegetation and elevation data to prioritize restoration continuously across riverscapes at restoration-relevant, reach-scales may uphold the ecosystem services provided by riverscapes. By incorporating local knowledge and identifying caveats for using these datasets, continuous inferences can be applied at network scales (watershed to regional extent and reach-scale resolution) to prioritize restoration over a wide variety of ecoregions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1716","usgsCitation":"Glassic, H.C., McGwire, K.C., Macfarlane, W., Rasmussen, C., Bouwes, N., Wheaton, J.M., and Al-Chokhachy, R., 2024, From pixels to riverscapes: How remote sensing and geospatial tools can prioritize riverscape restoration at multiple scales: WIREs Water, v. 11, no. 3, e1716, 22 p., https://doi.org/10.1002/wat2.1716.","productDescription":"e1716, 22 p.","ipdsId":"IP-154971","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440545,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1716","text":"Publisher Index Page"},{"id":433404,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Reese River, Upper Humboldt River, West Walker River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.28783058394662,\n              38.09843600904033\n            ],\n            [\n              -114.17949392211462,\n              40.01850103667016\n            ],\n            [\n              -114.21927949998788,\n              41.75225521374173\n            ],\n            [\n              -117.26200493565987,\n              41.87323893635414\n            ],\n            [\n              -120.03969790583245,\n              38.533308782806046\n            ],\n            [\n              -119.28783058394662,\n              38.09843600904033\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glassic, Hayley Corrine 0000-0001-6839-1026","orcid":"https://orcid.org/0000-0001-6839-1026","contributorId":305858,"corporation":false,"usgs":true,"family":"Glassic","given":"Hayley","email":"","middleInitial":"Corrine","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":911984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGwire, Kenneth C.","contributorId":140699,"corporation":false,"usgs":false,"family":"McGwire","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":911985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":337429,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":911986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rasmussen, Cashe","contributorId":305859,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Cashe","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":911987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bouwes, Nicolaas","contributorId":305860,"corporation":false,"usgs":false,"family":"Bouwes","given":"Nicolaas","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":911988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wheaton, Joseph M.","contributorId":343789,"corporation":false,"usgs":false,"family":"Wheaton","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":911989,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":222450,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":911990,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70253889,"text":"70253889 - 2024 - Diatoms of North America: Nomenclatural transfers within the Bacillariophyceae 1","interactions":[],"lastModifiedDate":"2024-05-03T14:00:05.957567","indexId":"70253889","displayToPublicDate":"2024-02-01T08:57:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17624,"text":"Notulae Algarum","active":true,"publicationSubtype":{"id":10}},"title":"Diatoms of North America: Nomenclatural transfers within the Bacillariophyceae 1","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"AlgaeBase","usgsCitation":"Edlund, M., Spaulding, S., Bishop, I.W., Potapova, M., Lee, S.S., Furey, P.C., and Jovanoska, E., 2024, Diatoms of North America: Nomenclatural transfers within the Bacillariophyceae 1: Notulae Algarum, no. 319, 3 p.","productDescription":"3 p.","ipdsId":"IP-161054","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":428331,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.notulaealgarum.com/2024/index.html","linkFileType":{"id":5,"text":"html"}},{"id":428351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"319","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Edlund, M.B.","contributorId":336122,"corporation":false,"usgs":false,"family":"Edlund","given":"M.B.","affiliations":[{"id":80754,"text":"Minnesota Science Center","active":true,"usgs":false}],"preferred":false,"id":899999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaulding, Sarah A. 0000-0002-9787-7743","orcid":"https://orcid.org/0000-0002-9787-7743","contributorId":223186,"corporation":false,"usgs":true,"family":"Spaulding","given":"Sarah","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":900000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bishop, Ian Wesley 0000-0003-2197-3197","orcid":"https://orcid.org/0000-0003-2197-3197","contributorId":336123,"corporation":false,"usgs":true,"family":"Bishop","given":"Ian","email":"","middleInitial":"Wesley","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":900001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Potapova, M.","contributorId":336124,"corporation":false,"usgs":false,"family":"Potapova","given":"M.","affiliations":[{"id":57366,"text":"Academy of Natural Sciences of Drexel University","active":true,"usgs":false}],"preferred":false,"id":900002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Sylvia S. 0000-0003-3855-7085","orcid":"https://orcid.org/0000-0003-3855-7085","contributorId":304839,"corporation":false,"usgs":false,"family":"Lee","given":"Sylvia","email":"","middleInitial":"S.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":900003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furey, Paula C.","contributorId":279825,"corporation":false,"usgs":false,"family":"Furey","given":"Paula","email":"","middleInitial":"C.","affiliations":[{"id":57370,"text":"St. Catherine University","active":true,"usgs":false}],"preferred":false,"id":900004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jovanoska, Elena","contributorId":279823,"corporation":false,"usgs":false,"family":"Jovanoska","given":"Elena","email":"","affiliations":[{"id":57367,"text":"Senckenberg Research Institute","active":true,"usgs":false}],"preferred":false,"id":900005,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251495,"text":"70251495 - 2024 - Utilizing artificial nesting platforms as a management tool: Enhancing breeding productivity of Western Flycatchers (Empidonax difficilis occidentalis) in southwestern Colorado and southern Arizona, USA","interactions":[],"lastModifiedDate":"2024-02-13T14:47:56.374731","indexId":"70251495","displayToPublicDate":"2024-02-01T08:37:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Utilizing artificial nesting platforms as a management tool: Enhancing breeding productivity of Western Flycatchers (Empidonax difficilis occidentalis) in southwestern Colorado and southern Arizona, USA","docAbstract":"<p><span>Artificial nesting substrates have been added around the world for many cavity-nesting bird species, but this has not been undertaken as extensively for crevice-nesting birds. The Western Cordilleran Flycatcher (</span><i>Empidonax difficilis occidentalis</i><span>) is a migratory, crevice-nesting flycatcher that is nest-site limited, breeding in higher elevation riparian habitats throughout intermountain western North America. We tested the effectiveness of multiple artificial nesting platform types that this flycatcher would accept for nesting, and then utilizing the successful design established an experimental array of platforms in southwestern Colorado and southern Arizona. From 2008 to 2022 we documented Cordilleran Flycatcher breeding and the influence of nesting platforms on productivity of young and adult numbers. Breeding behaviors did not differ significantly between natural nest sites and platform nests, except that the nestling period was an average of 16.73 (+/- 0.98) days on platforms as compared to 15.92 (+/- 0.71) on human structures and 15.67 (+/- 0.48) days in natural locations. Platform nests had lower predation rates and greater rates of successful fledging when compared to natural locations. At both study locations platform nests doubled the number of young fledged each year. In Colorado, where Western Cordilleran Flycatchers were initially absent from areas, adult numbers increased following introduction of platforms, but in Arizona adult flycatcher numbers were not affected. Our findings demonstrate that the addition of artificial nesting platforms can enhance productivity and numbers of Western Cordilleran Flycatchers, and we hope that our findings will prove useful for the conservation of other crevice-nesting bird species.</span></p>","language":"English","publisher":"Association of Field Ornithologists","doi":"10.5751/JFO-00417-950105","usgsCitation":"van Riper, C., Greeney, H., Darrah, A., Boyce, A.J., van Riper, D.F., and Yackulic, C., 2024, Utilizing artificial nesting platforms as a management tool: Enhancing breeding productivity of Western Flycatchers (Empidonax difficilis occidentalis) in southwestern Colorado and southern Arizona, USA: Journal of Field Ornithology, v. 95, no. 1, 5, 11 p., https://doi.org/10.5751/JFO-00417-950105.","productDescription":"5, 11 p.","ipdsId":"IP-133621","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440548,"rank":0,"type":{"id":40,"text":"Open Access 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,{"id":70251392,"text":"70251392 - 2024 - Innovation in climate adaptation: Harnessing innovation for effective biodiversity and ecosystem adaptation","interactions":[],"lastModifiedDate":"2024-02-08T14:20:26.470788","indexId":"70251392","displayToPublicDate":"2024-02-01T08:17:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Innovation in climate adaptation: Harnessing innovation for effective biodiversity and ecosystem adaptation","docAbstract":"<p>Climate change poses growing risks to species, ecosystems, and people, and is challenging many of the assumptions that underpin modern conservation practice. As climate impacts accelerate, conventional conservation approaches are being compromised and losing their effectiveness. As a result, there is an urgent need to not only center climate adaptation in conservation policy and practice, but for adaptation responses to be bolder and more innovative. </p><p>Innovation in Climate Adaptation is designed to address this need by promoting creativity and innovation in the practice of climate adaptation for biodiversity and ecosystem conservation. The guide is not about promoting innovation for the sake of innovation; rather, it is intended to help policymakers, researchers, and resource managers harness the power of innovation to achieve more effective adaptation outcomes.</p>","language":"English","publisher":"National Wildlife Federation","usgsCitation":"Stein, B., Cushing, J., Jackson, S., Cross, M.E., Foden, W., Hallett, L.M., Hagerman, S.M., Hansen, L.J., Hellmann, J., Magness, D., Mendoza, G.F., Newsome, C., Pathak, A., Prober, S.M., Reynolds, J.H., and Zavaleta, E., 2024, Innovation in climate adaptation: Harnessing innovation for effective biodiversity and ecosystem adaptation, viii, 113 p.","productDescription":"viii, 113 p.","ipdsId":"IP-159474","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science 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,{"id":70261103,"text":"70261103 - 2024 - Ohi'a lehua (Metrosideros polymorpha): A most resilient and persistent foundation species in Hawaiian forests","interactions":[],"lastModifiedDate":"2024-11-22T15:24:54.85348","indexId":"70261103","displayToPublicDate":"2024-02-01T08:17:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Ohi'a lehua (Metrosideros polymorpha): A most resilient and persistent foundation species in Hawaiian forests","docAbstract":"<p><i>Metrosideros polymorpha</i> (‘ōhi‘a, ‘ōhi‘a lehua) is an important foundation species in Hawaiian forest habitats. The genus originated in New Zealand and was dispersed to the Hawaiian archipelago approximately 3.9 million years ago. It evolved into five distinct endemic species and one of these, <i>Metrosideros polymorpha</i>, further differentiated into eight varieties across what are now the main Hawaiian Islands. ‘Ōhi‘a is a tree that has great significance in indigenous Hawaiian culture. It is considered a physical manifestation of several principal Hawaiian deities, and serves a broad range of uses in Hawaiian material culture. It occupies a wide diversity of habitats, extending from sea level to over 2,200 m elevation, occupying habitats that range from extremely wet to dry rainfall zones. It is the dominant or co-dominant tree species in wet and mesic forests and is also one of the first woody species to become established on young lava flows. Although ‘ōhi‘a is a dominant forest tree it also exhibits many characteristics of a pioneer species. ‘Ōhi‘a provides the matrix for a wide diversity of endemic plants and animals found in these habitats and functions as the primary vegetation cover on native Hawaiian watersheds, facilitating groundwater recharge and regulating surface runoff. ‘Ōhi‘a has shown remarkable resilience by recolonizing forests that were opened up by disturbance, such as the widespread ‘ōhi‘a canopy dieback that occurred on East Maui in the 1900s and on the east side of the Island of Hawai‘i in the 1970s. Several human-related conditions threaten the continued stability of Hawaii’s native ecosystems, including invasive plants, plant diseases, introduced animals, and changing climate. The research and conservation legacy of Dr. Dieter Mueller-Dombois helped to expand our knowledge of the ecology and importance of ‘ōhi‘a forests, and to increase awareness and appreciation of the remarkable Hawaiian ecosystems that are unique to the world.</p>","language":"English","publisher":"BioOne","doi":"10.2984/77.2.4","usgsCitation":"Jacobi, J.D., Boehmer, H.J., Fortini, L., Gon III, S., Mertelmeyer, L., and Price, J., 2024, Ohi'a lehua (Metrosideros polymorpha): A most resilient and persistent foundation species in Hawaiian forests: Pacific Science, v. 77, no. 2-3, p. 177-186, https://doi.org/10.2984/77.2.4.","productDescription":"10 p.","startPage":"177","endPage":"186","ipdsId":"IP-154260","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":464438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"77","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":919264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehmer, Hans Juergen","contributorId":207895,"corporation":false,"usgs":false,"family":"Boehmer","given":"Hans","email":"","middleInitial":"Juergen","affiliations":[{"id":37652,"text":"School of Geography, University of the South Pacific, Suva, Fiji","active":true,"usgs":false}],"preferred":false,"id":919265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":919266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gon III, Samuel M. ‘Ohukaniʻōhiʻa","contributorId":346476,"corporation":false,"usgs":false,"family":"Gon III","given":"Samuel M. ‘Ohukaniʻōhiʻa","affiliations":[{"id":82869,"text":"The Nature Conservancy of Hawai`i","active":true,"usgs":false}],"preferred":false,"id":919267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mertelmeyer, Linda","contributorId":214407,"corporation":false,"usgs":false,"family":"Mertelmeyer","given":"Linda","email":"","affiliations":[{"id":39035,"text":"Technical University of Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":919268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Price, Jonathan","contributorId":187456,"corporation":false,"usgs":false,"family":"Price","given":"Jonathan","affiliations":[],"preferred":false,"id":919269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251277,"text":"70251277 - 2024 - Twenty years of explosive-effusive activity at El Reventador volcano (Ecuador) recorded in its geomorphology","interactions":[],"lastModifiedDate":"2024-02-08T18:56:27.243981","indexId":"70251277","displayToPublicDate":"2024-02-01T07:04:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Twenty years of explosive-effusive activity at El Reventador volcano (Ecuador) recorded in its geomorphology","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Shifts in activity at long-active, open-vent volcanoes are difficult to forecast because precursory signals are enigmatic and can be lost in and amongst daily activity. Here, we propose that crater and vent morphologies, along with summit height, can help us bring some insights into future activity at one of Ecuador’s most active volcanoes El Reventador. On 3 November 2002, El Reventador volcano experienced the largest eruption in Ecuador in the last 140 years and has been continuously active ever since with transitions between and coexistence of explosive and effusive activity, characterized by Strombolian and Vulcanian behavior. Based on the analysis of a large dataset of thermal and visual images, we determined that in the last 20 years of activity, the volcano faced three destructive events: A. Destruction of the upper part of the summit leaving a north-south breached crater (3 November 2002), B. NE border crater collapse (2017), and C. NW flank collapse (2018), with two periods of reconstruction of the edifice: Period 1. Refill of the crater (2002-early 2018) and Period 2. Refill of the 2018 scar (April 2018–December 2022). Through photogrammetric analysis of visual and thermal images acquired in 11 overflights of the volcano, we created a time-series of digital elevation models (DEMs) to determine the maximum height of the volcano at each date, quantify the volume changes between successive dates, and characterize the morphological changes in the summit region. We estimate that approximately 34.1x10<sup>6</sup><span>&nbsp;</span>m<sup>3</sup><span>&nbsp;</span>of volcanic material was removed from the volcano due to destructive events, whereas 64.1x10<sup>6</sup><span>&nbsp;</span>m<sup>3</sup><span>&nbsp;</span>was added by constructive processes. The pre-2002 summit height was 3,560 m and due to the 2002 eruption it decreased to 3,527 m; it regained its previous height between 2014 and 2015 and the summit crater was completely filled by early April 2018. Event A resulted from an intrusion of magma that erupted violently; we proposed that Events B and C could be a result of an intrusion as well but may also be due to a lack of stability of the volcano summit which occurs when it reaches its maximum height of approximately 3,590 and 3,600 m.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2023.1202285","usgsCitation":"Vallejo Vargas, S., Diefenbach, A., Gaunt, E., Almeida, M., Ramon, P., Naranjo, F., and Kelfoun, K., 2024, Twenty years of explosive-effusive activity at El Reventador volcano (Ecuador) recorded in its geomorphology: Frontiers in Earth Science, v. 11, 1202285, 22 p., https://doi.org/10.3389/feart.2023.1202285.","productDescription":"1202285, 22 p.","ipdsId":"IP-152886","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":440552,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3389/feart.2023.1202285","text":"Publisher Index Page"},{"id":425284,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"El Reventador","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.8197793555328,\n              0.12390697900004\n            ],\n            [\n              -77.8197793555328,\n              -0.27953126262495687\n            ],\n            [\n              -77.44978786328691,\n              -0.27953126262495687\n            ],\n            [\n              -77.44978786328691,\n              0.12390697900004\n            ],\n            [\n              -77.8197793555328,\n              0.12390697900004\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Vallejo Vargas, Silvia","contributorId":212772,"corporation":false,"usgs":false,"family":"Vallejo Vargas","given":"Silvia","email":"","affiliations":[{"id":38680,"text":"Instituto Geofisico","active":true,"usgs":false}],"preferred":false,"id":893815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Angela K. 0000-0003-0214-7818","orcid":"https://orcid.org/0000-0003-0214-7818","contributorId":204743,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Angela K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":893816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaunt, Elizabeth","contributorId":224663,"corporation":false,"usgs":false,"family":"Gaunt","given":"Elizabeth","email":"","affiliations":[{"id":28071,"text":"Instituto Geofisico, Escuela Politecnica Nacional, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":893817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Almeida, Marco","contributorId":333747,"corporation":false,"usgs":false,"family":"Almeida","given":"Marco","email":"","affiliations":[{"id":79966,"text":"Instituto Geofísico, Escuela Politécnica Nacional, Quito-Ecuador","active":true,"usgs":false}],"preferred":false,"id":893818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramon, Patricio","contributorId":333748,"corporation":false,"usgs":false,"family":"Ramon","given":"Patricio","email":"","affiliations":[{"id":79966,"text":"Instituto Geofísico, Escuela Politécnica Nacional, Quito-Ecuador","active":true,"usgs":false}],"preferred":false,"id":893819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naranjo, Fernanda","contributorId":333749,"corporation":false,"usgs":false,"family":"Naranjo","given":"Fernanda","email":"","affiliations":[{"id":79966,"text":"Instituto Geofísico, Escuela Politécnica Nacional, Quito-Ecuador","active":true,"usgs":false}],"preferred":false,"id":893820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kelfoun, Karim","contributorId":333750,"corporation":false,"usgs":false,"family":"Kelfoun","given":"Karim","email":"","affiliations":[{"id":79967,"text":"Laboratoire Magmas et Volcans, Université Clermont Auvergne, Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":893821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70238327,"text":"70238327 - 2024 - Advanced quantitative precipitation information: Improving monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area","interactions":[],"lastModifiedDate":"2024-02-07T16:30:16.692431","indexId":"70238327","displayToPublicDate":"2024-02-01T07:02:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12962,"text":"Bulletin of the American Meteorological Society (BAMS)","active":true,"publicationSubtype":{"id":10}},"title":"Advanced quantitative precipitation information: Improving monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area","docAbstract":"<div class=\"component component-content-item component-content-summary abstract_or_excerpt\"><div class=\"content-box box border-bottom border-bottom-inherit border-bottom-inherit no-padding no-header vertical-margin-bottom null\"><div class=\"content-box-body null\"><p><span>Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay Area. As an experimental system, AQPI leverages more than a decade of research, innovation, and implementation of a statewide, state-of-the-art network of observations, and development of the next generation of weather and coastal forecast models. AQPI was developed as a prototype in response to requests from the water management community for improved information on precipitation, riverine, and coastal conditions to inform their decision-making processes. Observation of precipitation in the complex Bay Area landscape of California’s coastal mountain ranges is known to be a challenging problem. But, with new advanced radar network techniques, AQPI is helping fill an important observational gap for this highly populated and vulnerable metropolitan area. The prototype AQPI system consists of improved weather radar data for precipitation estimation; additional surface measurements of precipitation, streamflow, and soil moisture; and a suite of integrated forecast modeling systems to improve situational awareness about current and future water conditions from sky to sea. Together these tools will help improve emergency preparedness and public response to prevent loss of life and destruction of property during extreme storms accompanied by heavy precipitation and high coastal water levels—especially high-moisture laden atmospheric rivers. The Bay Area AQPI system could potentially be replicated in other urban regions in California, the United States, and worldwide.</span></p></div></div></div>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-21-0121.1","usgsCitation":"Cifelli, R., Chandrasekar, V., Herdman, L.M., Turner, D., White, A.B., Alcott, M., Anderson, M.C., Barnard, P.L., Biswas, S., Boucher, M., Bytheway, J., Chen, H., Cutler, H., English, M., Erikson, L.H., Junyent, F., Johnson, L., Krebs, J., van de Lindt, J., Kim, J., Leonard, M.L., Ma, Y., Marquis, M., Moninger, W., Pratt, G., Radhakrishnan, C., Shields, M., Spaulding, J., Tehranirad, B., and Webb, R.S., 2024, Advanced quantitative precipitation information: Improving monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area: Bulletin of the American Meteorological Society (BAMS), v. 105, no. 2, p. E313-E331, https://doi.org/10.1175/BAMS-D-21-0121.1.","productDescription":"19 p.","startPage":"E313","endPage":"E331","ipdsId":"IP-137110","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440555,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-21-0121.1","text":"Publisher Index Page"},{"id":409383,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.14388577435471,\n              38.385844143250466\n            ],\n            [\n              -123.14388577435471,\n              37.31060691346805\n            ],\n            [\n              -121.43074612348906,\n              37.31060691346805\n            ],\n            [\n              -121.43074612348906,\n              38.385844143250466\n            ],\n            [\n              -123.14388577435471,\n              38.385844143250466\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"105","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cifelli, Robert","contributorId":268882,"corporation":false,"usgs":false,"family":"Cifelli","given":"Robert","email":"","affiliations":[{"id":55708,"text":"NOAA Physical Sciences Laboratory","active":true,"usgs":false}],"preferred":false,"id":857109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandrasekar, V 0000-0003-1569-698X","orcid":"https://orcid.org/0000-0003-1569-698X","contributorId":299085,"corporation":false,"usgs":false,"family":"Chandrasekar","given":"V","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":857110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":857111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Dave 0000-0003-1097-897X","orcid":"https://orcid.org/0000-0003-1097-897X","contributorId":299086,"corporation":false,"usgs":false,"family":"Turner","given":"Dave","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":857112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, A. B. 0000-0001-8587-3481","orcid":"https://orcid.org/0000-0001-8587-3481","contributorId":236981,"corporation":false,"usgs":false,"family":"White","given":"A.","email":"","middleInitial":"B.","affiliations":[{"id":47585,"text":"NOAA/Earth System Research Laboratory/Physical Sciences Division, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":857113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alcott, M.","contributorId":299087,"corporation":false,"usgs":false,"family":"Alcott","given":"M.","email":"","affiliations":[{"id":64765,"text":"NOAA Global Systems Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, M. C.","contributorId":192450,"corporation":false,"usgs":false,"family":"Anderson","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":857115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":857116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Biswas, S.K.","contributorId":299088,"corporation":false,"usgs":false,"family":"Biswas","given":"S.K.","email":"","affiliations":[{"id":64766,"text":"NOAA Physical Sciences Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857117,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boucher, M.","contributorId":299089,"corporation":false,"usgs":false,"family":"Boucher","given":"M.","email":"","affiliations":[{"id":64767,"text":"Contra Costa County Public Works, Concord, CA","active":true,"usgs":false}],"preferred":false,"id":857118,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bytheway, J.","contributorId":299090,"corporation":false,"usgs":false,"family":"Bytheway","given":"J.","email":"","affiliations":[{"id":64768,"text":"Cooperative Institute for Research in Environmental Sciences, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857119,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Chen, H.","contributorId":299091,"corporation":false,"usgs":false,"family":"Chen","given":"H.","affiliations":[{"id":64769,"text":"Cooperative Institute for Research in the Atmosphere, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857120,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cutler, H.","contributorId":299093,"corporation":false,"usgs":false,"family":"Cutler","given":"H.","email":"","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857121,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"English, M.","contributorId":299095,"corporation":false,"usgs":false,"family":"English","given":"M.","email":"","affiliations":[{"id":64765,"text":"NOAA Global Systems Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857122,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":857123,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Junyent, F.","contributorId":299096,"corporation":false,"usgs":false,"family":"Junyent","given":"F.","email":"","affiliations":[{"id":64769,"text":"Cooperative Institute for Research in the Atmosphere, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857124,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Johnson, L. E.","contributorId":299097,"corporation":false,"usgs":false,"family":"Johnson","given":"L. E.","affiliations":[{"id":64769,"text":"Cooperative Institute for Research in the Atmosphere, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857125,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Krebs, J.","contributorId":299099,"corporation":false,"usgs":false,"family":"Krebs","given":"J.","email":"","affiliations":[{"id":64771,"text":"Jennifer Krebs Environmental Planning, Berkley, CA","active":true,"usgs":false}],"preferred":false,"id":857126,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"van de Lindt, J.","contributorId":299101,"corporation":false,"usgs":false,"family":"van de Lindt","given":"J.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857127,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kim, J.","contributorId":245126,"corporation":false,"usgs":false,"family":"Kim","given":"J.","affiliations":[{"id":49088,"text":"Roy M. Huffington Department of Earth Sciences, Southern Methodist University, Dallas, TX 75275, USA","active":true,"usgs":false}],"preferred":false,"id":857128,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Leonard, Marty L.","contributorId":191435,"corporation":false,"usgs":false,"family":"Leonard","given":"Marty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":857129,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ma, Y.","contributorId":299102,"corporation":false,"usgs":false,"family":"Ma","given":"Y.","affiliations":[{"id":64766,"text":"NOAA Physical Sciences Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857130,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Marquis, M.","contributorId":224086,"corporation":false,"usgs":false,"family":"Marquis","given":"M.","email":"","affiliations":[],"preferred":false,"id":857131,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Moninger, W.","contributorId":299103,"corporation":false,"usgs":false,"family":"Moninger","given":"W.","email":"","affiliations":[{"id":64765,"text":"NOAA Global Systems Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857132,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Pratt, G.","contributorId":299104,"corporation":false,"usgs":false,"family":"Pratt","given":"G.","email":"","affiliations":[{"id":64765,"text":"NOAA Global Systems Laboratory, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":857133,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Radhakrishnan, C.","contributorId":299105,"corporation":false,"usgs":false,"family":"Radhakrishnan","given":"C.","email":"","affiliations":[{"id":64769,"text":"Cooperative Institute for Research in the Atmosphere, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":857134,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Shields, Michael","contributorId":150228,"corporation":false,"usgs":false,"family":"Shields","given":"Michael","email":"","affiliations":[{"id":17943,"text":"Univ of Florida","active":true,"usgs":false}],"preferred":false,"id":857135,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Spaulding, J.","contributorId":299106,"corporation":false,"usgs":false,"family":"Spaulding","given":"J.","email":"","affiliations":[{"id":64773,"text":"Sonoma Water, Santa Rosa, CA","active":true,"usgs":false}],"preferred":false,"id":857136,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":857137,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Webb, R. S.","contributorId":279847,"corporation":false,"usgs":false,"family":"Webb","given":"R.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":857138,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70251005,"text":"70251005 - 2024 - A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale","interactions":[],"lastModifiedDate":"2024-05-20T13:54:18.558925","indexId":"70251005","displayToPublicDate":"2024-02-01T06:55:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2027,"text":"International Journal of Applied Earth Observation and Geoinformation","active":true,"publicationSubtype":{"id":10}},"title":"A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Agriculture consumes the largest share of freshwater globally; therefore, distinguishing between rainfed and irrigated croplands is essential for agricultural water management and food security. In this study, a framework incorporating the Budyko model was used to differentiate between rainfed and irrigated cropland areas in Africa for eight remote sensing landcover products and a high-confidence cropland map (HCCM). The HCCM was generated for calibration and validation of the crop partitioning framework as an alternative to individual cropland masks which exhibit high disagreement. The accuracy of the framework in partitioning the HCCM was evaluated using an independent validation dataset, yielding an overall accuracy rate of 73&nbsp;%. The findings of this study indicate that out of the total area covered by the HCCM (2.36 million km<sup>2</sup>), about 461,000&nbsp;km<sup>2</sup><span>&nbsp;</span>(19&nbsp;%) is irrigated cropland. The partitioning framework was applied on eight landcover products, and the extent of irrigated areas varied between 19&nbsp;% and 30&nbsp;% of the total cropland area. The framework demonstrated high precision and specificity scores, indicating its effectiveness in correctly identifying irrigated areas while minimizing the misclassification of rainfed areas as irrigated. This study provides an enhanced understanding of rainfed and irrigation patterns across Africa, supporting efforts towards achieving sustainable and resilient agricultural systems. Consequently, the approach outlined expands on the suite of remote sensing landcover products that can be used for agricultural water studies in Africa by enabling the extraction of irrigated and rainfed cropland data from landcover products that do not have disaggregated cropland classes.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jag.2023.103607","usgsCitation":"Owusu, A., Kagone, S., Leh, M., Velpuri, N., Gumma, M., Ghansah, B., Thilina-Prabhath, P., Akpoti, K., Mekonnen, K., Tinonetsana, P., and Mohammed, I., 2024, A framework for disaggregating remote-sensing cropland into rainfed and irrigated classes at continental scale: International Journal of Applied Earth Observation and Geoinformation, v. 126, 103607, 15 p.; Data Release, https://doi.org/10.1016/j.jag.2023.103607.","productDescription":"103607, 15 p.; Data 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   }\n    }\n  ]\n}","volume":"126","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Owusu, Afua","contributorId":330582,"corporation":false,"usgs":false,"family":"Owusu","given":"Afua","email":"","affiliations":[{"id":78937,"text":"International Water Management Institute, Accra, Ghana","active":true,"usgs":false}],"preferred":false,"id":892744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":199091,"corporation":false,"usgs":false,"family":"Kagone","given":"Stefanie","affiliations":[],"preferred":false,"id":892745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leh, Mansoor","contributorId":330583,"corporation":false,"usgs":false,"family":"Leh","given":"Mansoor","email":"","affiliations":[{"id":61564,"text":"International Water Management Institute, Colombo, Sri 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Ghana","active":true,"usgs":false}],"preferred":false,"id":892751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mekonnen, Kirubel","contributorId":333422,"corporation":false,"usgs":false,"family":"Mekonnen","given":"Kirubel","email":"","affiliations":[{"id":79873,"text":"International Water Management Institute, Ethiopia","active":true,"usgs":false}],"preferred":false,"id":892752,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tinonetsana, Primrose","contributorId":333423,"corporation":false,"usgs":false,"family":"Tinonetsana","given":"Primrose","email":"","affiliations":[{"id":79871,"text":"International Water Management Institute, Sri Lanka","active":true,"usgs":false}],"preferred":false,"id":892753,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mohammed, Ismail","contributorId":333424,"corporation":false,"usgs":false,"family":"Mohammed","given":"Ismail","email":"","affiliations":[{"id":79874,"text":"International Crops Research Institute for the Semi-Arid Tropics, India","active":true,"usgs":false}],"preferred":false,"id":892754,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70251385,"text":"70251385 - 2024 - Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions","interactions":[],"lastModifiedDate":"2024-02-08T13:09:38.684078","indexId":"70251385","displayToPublicDate":"2024-02-01T06:55:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17152,"text":"Journal of Hydrology Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions","docAbstract":"<div id=\"abs0010\"><h3 id=\"sect0010\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study region</h3><p id=\"sp0085\">The Mississippi<span>&nbsp;</span>Alluvial Plain<span>&nbsp;</span>(MAP) in the United States (US).</p></div><div id=\"abs0015\"><h3 id=\"sect0015\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">Study focus</h3><p id=\"sp0090\">Understanding local-scale groundwater use, a critical component of the water budget, is necessary for implementing sustainable water management practices. The MAP is one of the most productive agricultural regions in the US and extracts more than 11&nbsp;km<sup>3</sup>/year for irrigation activities. Consequently, groundwater-level declines in the MAP region pose a substantial challenge to water sustainability, and hence, we need reliable groundwater pumping monitoring solutions to manage this resource appropriately.</p></div><div id=\"abs0020\"><h3 id=\"sect0020\" class=\"u-h4 u-margin-m-top u-margin-xs-bottom\">New hydrological insights for the region</h3><p id=\"sp0095\"><span>We incorporate&nbsp;remote sensing&nbsp;datasets and machine learning to improve an existing lookup table-based model of groundwater use previously developed by the&nbsp;U.S.&nbsp;Geological Survey (USGS). Here, we employ Distributed Random Forests, an ensemble machine learning algorithm to predict annual and monthly groundwater use (2014–2020) throughout this region at 1-km resolution, using pumping data from existing&nbsp;flowmeters&nbsp;in the Mississippi Delta. Our model compares favorably with the existing USGS model, with higher R</span><sup>2</sup><span>&nbsp;(0.51 compared to 0.42 in the previous model), and lower&nbsp;root mean square error&nbsp;(RMSE) and mean absolute error (MAE)— 0.14&nbsp;m and 0.09&nbsp;m, respectively in our model, compared to 0.15&nbsp;m and 0.1&nbsp;m in the previous model. Therefore, this work advances our ability to predict groundwater use in regions with scarce or limited in-situ groundwater withdrawal data availability.</span></p></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2024.101674","usgsCitation":"Majumdar, S., Smith, R., Hasan, F., Wilson, J., White, V.E., Bristow, E., Rigby, J.R., Kress, W., and Painter, J.A., 2024, Improving crop-specific groundwater use estimation in the Mississippi Alluvial Plain: Implications for integrated remote sensing and machine learning approaches in data-scarce regions: Journal of Hydrology Regional Studies, v. 52, 101674, 38 p., https://doi.org/10.1016/j.ejrh.2024.101674.","productDescription":"101674, 38 p.","ipdsId":"IP-146962","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440561,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2024.101674","text":"Publisher Index Page"},{"id":435051,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137FIUZ","text":"USGS data release","linkHelpText":"Aquaculture and Irrigation Water Use Model 2.0 Software"},{"id":425505,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.48312106306774,\n              28.652845429333638\n            ],\n            [\n              -85.65011325056768,\n              28.652845429333638\n            ],\n            [\n              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0000-0002-3747-6868","orcid":"https://orcid.org/0000-0002-3747-6868","contributorId":333943,"corporation":false,"usgs":false,"family":"Smith","given":"Ryan","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":894367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasan, Fahim","contributorId":333944,"corporation":false,"usgs":false,"family":"Hasan","given":"Fahim","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":894368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Jordan 0000-0003-0490-9062","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":333946,"corporation":false,"usgs":false,"family":"Wilson","given":"Jordan","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":894369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bristow, Emilia L. 0000-0002-7939-166X ebristow@usgs.gov","orcid":"https://orcid.org/0000-0002-7939-166X","contributorId":214538,"corporation":false,"usgs":true,"family":"Bristow","given":"Emilia L.","email":"ebristow@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":260894,"corporation":false,"usgs":true,"family":"Rigby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894372,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Painter, Jaime A. 0000-0001-8883-9158 jpainter@usgs.gov","orcid":"https://orcid.org/0000-0001-8883-9158","contributorId":1466,"corporation":false,"usgs":true,"family":"Painter","given":"Jaime","email":"jpainter@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894373,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251524,"text":"70251524 - 2024 - Application of lidar to assess the habitat selection of an endangered small mammal in an estuarine wetland environment","interactions":[],"lastModifiedDate":"2024-02-14T12:56:47.5723","indexId":"70251524","displayToPublicDate":"2024-02-01T06:54:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Application of lidar to assess the habitat selection of an endangered small mammal in an estuarine wetland environment","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Light detection and ranging (lidar) has emerged as a valuable tool for examining the fine-scale characteristics of vegetation. However, lidar is rarely used to examine coastal wetland vegetation or the habitat selection of small mammals. Extensive anthropogenic modification has threatened the endemic species in the estuarine wetlands of the California coast, such as the endangered salt marsh harvest mouse (<i>Reithrodontomys raviventris</i>; SMHM). A better understanding of SMHM habitat selection could help managers better protect this species. We assessed the ability of airborne topographic lidar imagery in measuring the vegetation structure of SMHM habitats in a coastal wetland with a narrow range of vegetation heights. We also aimed to better understand the role of vegetation structure in habitat selection at different spatial scales. Habitat selection was modeled from data compiled from 15 small mammal trapping grids collected in the highly urbanized San Francisco Estuary in California, USA. Analyses were conducted at three spatial scales: microhabitat (25 m<sup>2</sup>), mesohabitat (2025 m<sup>2</sup>), and macrohabitat (~10,000 m<sup>2</sup>). A suite of structural covariates was derived from raw lidar data to examine vegetation complexity. We found that adding structural covariates to conventional habitat selection variables significantly improved our models. At the microhabitat scale in managed wetlands, SMHM preferred areas with denser and shorter vegetation and selected for proximity to levees and taller vegetation in tidal wetlands. At the mesohabitat scale, SMHM were associated with a lower percentage of bare ground and with pickleweed (<i>Salicornia pacifica</i>) presence. All covariates were insignificant at the macrohabitat scale. Our results suggest that SMHM preferentially selected microhabitats with access to tidal refugia and mesohabitats with consistent food sources. Our findings showed that lidar can contribute to improving our understanding of habitat selection of wildlife in coastal wetlands and help to guide future conservation of an endangered species.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10894","usgsCitation":"Hagani, J., Takekawa, J., Skalos, S., Casazza, M.L., Riley, M., Estrella, S., Barthman-Thompson, L., Smith, K., Buffington, K., and Thorne, K., 2024, Application of lidar to assess the habitat selection of an endangered small mammal in an estuarine wetland environment: Ecology and Evolution, v. 14, e10894, 17 p., https://doi.org/10.1002/ece3.10894.","productDescription":"e10894, 17 p.","ipdsId":"IP-160740","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":440564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10894","text":"Publisher Index Page"},{"id":425646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hagani, J.S.","contributorId":334134,"corporation":false,"usgs":false,"family":"Hagani","given":"J.S.","email":"","affiliations":[{"id":36688,"text":"Suisun Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":894784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, J.Y.","contributorId":199270,"corporation":false,"usgs":false,"family":"Takekawa","given":"J.Y.","email":"","affiliations":[],"preferred":false,"id":894785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalos, S.M.","contributorId":334136,"corporation":false,"usgs":false,"family":"Skalos","given":"S.M.","email":"","affiliations":[{"id":80068,"text":"U.S. Geological Survey (current address CA Dept. of Fish and Wildlife)","active":true,"usgs":false}],"preferred":false,"id":894786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":894787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, M.K.","contributorId":334137,"corporation":false,"usgs":false,"family":"Riley","given":"M.K.","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":894788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estrella, S.A.","contributorId":334139,"corporation":false,"usgs":false,"family":"Estrella","given":"S.A.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":894789,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barthman-Thompson, L.","contributorId":334140,"corporation":false,"usgs":false,"family":"Barthman-Thompson","given":"L.","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":894790,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, K.R.","contributorId":334141,"corporation":false,"usgs":false,"family":"Smith","given":"K.R.","email":"","affiliations":[{"id":80071,"text":"WRA, Inc.","active":true,"usgs":false}],"preferred":false,"id":894791,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894792,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":894793,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70252073,"text":"70252073 - 2024 - Simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge","interactions":[],"lastModifiedDate":"2024-03-13T11:49:31.517469","indexId":"70252073","displayToPublicDate":"2024-02-01T06:48:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">There is growing interest in incorporating higher-resolution groundwater modeling within the framework of large-scale land surface models (LSMs), including processes such as three-dimensional flow, variable soil saturation, and surface water/groundwater interactions. Conversely, complex groundwater models (e.g., the U.S. Geological Survey Groundwater-Flow Model, MODFLOW) often use simpler representations of land surface dynamics (e.g., surface vegetation, evapotranspiration, recharge) and may benefit from higher process fidelity and temporal resolutions in these inputs. This study investigates the potential of improving groundwater representation in LSMs and land surface dynamics in MODFLOW through forcing MODFLOW with recharge from LSMs. Groundwater simulations build on an existing and well-calibrated MODFLOW model of the U.S. Northern High Plains aquifer, a hydrologically complex basin under the dual impacts of conversion of native vegetation to intense irrigated agricultural fields and climate change. Simulated groundwater recharge from four different land models are used to drive MODFLOW groundwater simulations. Results show relatively large discrepancies between recharge estimates among simulations. Forcing MODFLOW using recharge simulated by some of the LSMs in place of a simple water balance model marginally improves MODFLOW groundwater simulation. Further, our results support the efficacy of coupling LSMs to a sophisticated groundwater model such as MODFLOW. The coupling results in notable improvements in matching the historical groundwater levels through reduction of the skewness coefficient in percent bias histogram (from 1.50 and 1.41 in original LSMs to 0.44 and 0.27, respectively, when MODFLOW is forced by groundwater recharge from LSMs) and reduction of bias. This modeling effort seeks to identify the best compromise between comprehensive land surface processes from global LSMs and advanced representation of groundwater from regional models.</p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.130703","usgsCitation":"Felfelani, F., Hughes, J.D., Chen, F., Dugger, A.L., Schneider, T., Gochis, D., Traylor, J.P., and Essaid, H.I., 2024, Simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge: Journal of Hydrology, v. 630, 130703, https://doi.org/10.1016/j.jhydrol.2024.130703.","productDescription":"130703","ipdsId":"IP-152624","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487021,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.130703","text":"Publisher Index Page"},{"id":435052,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L89K96","text":"USGS data release","linkHelpText":"MODFLOW models for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge."},{"id":426577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"630","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Felfelani, Farshid 0000-0003-1360-5095","orcid":"https://orcid.org/0000-0003-1360-5095","contributorId":334788,"corporation":false,"usgs":false,"family":"Felfelani","given":"Farshid","email":"","affiliations":[{"id":80245,"text":"RAL, NCAR","active":true,"usgs":false}],"preferred":false,"id":896507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":896508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Fei","contributorId":302597,"corporation":false,"usgs":false,"family":"Chen","given":"Fei","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":896509,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugger, Aubrey L 0000-0001-8250-4218","orcid":"https://orcid.org/0000-0001-8250-4218","contributorId":292892,"corporation":false,"usgs":false,"family":"Dugger","given":"Aubrey","email":"","middleInitial":"L","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":896510,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schneider, Timothy","contributorId":302599,"corporation":false,"usgs":false,"family":"Schneider","given":"Timothy","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":896511,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gochis, David","contributorId":152455,"corporation":false,"usgs":false,"family":"Gochis","given":"David","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":896512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896513,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":896514,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254589,"text":"70254589 - 2024 - Co-registration accuracy between Landsat-8 and Sentinel-2 orthorectified products","interactions":[],"lastModifiedDate":"2024-06-05T21:26:58.297308","indexId":"70254589","displayToPublicDate":"2024-02-01T06:39:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Co-registration accuracy between Landsat-8 and Sentinel-2 orthorectified products","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0160\">Landsat<span>&nbsp;orthorectified products use Ground Control Points (GCPs) and&nbsp;Digital Elevation Models&nbsp;(DEM) to improve the geolocation accuracy and temporal consistency, and to account for the relief displacements due to the sensor-target geometry. In Collection-2, to improve the geometric harmonization between Landsat and Sentinel-2 (S2) orthorectified products, the Landsat GCP's absolute and relative accuracies were improved using the S2 Global Reference Image (GRI) dataset through a continent-level bundle adjustment method. The GRI is a highly accurate global image dataset that was developed by the European Space Agency (ESA) to improve the S2 multi-temporal geolocation accuracy. Since late August 2021, ESA has been using the GRI dataset in the geometric refinement process to generate S2 terrain-corrected (L1C) products. This paper presents the co-registration accuracy between the Landsat-8 (L8) Collection-2 terrain-corrected products and the S2 L1C products that were processed with and without the use of the GRI dataset. The image-to-image registration (I2I) analysis performed between the L8 and S2 data products over a set of globally distributed tiles shows a significant improvement in their co-registration accuracy when GRI is used in the S2 L1C product generation. The co-registration error is estimated to be &lt;6&nbsp;m circular error at 90% probability (CE90) when GRI is used, and &gt;12&nbsp;m&nbsp;CE90 when GRI is not used in the S2 product generation process. A similar I2I analysis was conducted between S2 L1C products, L8 L1TP products, and L8 and Landsat 9 (L9) L1TP products. The analysis shows that the S2 L1C products are co-registered with each other temporally to better than 5.1&nbsp;m&nbsp;CE90 when GRI is used. The L8 L1TP products and L8 versus L9 L1TP products are both co-registered temporally to better than 3&nbsp;m&nbsp;CE90.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2023.113947","usgsCitation":"Rengarajan, R., Choate, M., Hasan, M., and Denevan, A., 2024, Co-registration accuracy between Landsat-8 and Sentinel-2 orthorectified products: Remote Sensing of Environment, v. 301, 113947, 30 p., https://doi.org/10.1016/j.rse.2023.113947.","productDescription":"113947, 30 p.","ipdsId":"IP-154542","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":440568,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2023.113947","text":"Publisher Index Page"},{"id":429492,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"301","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":902037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":251780,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":902038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasan, Md Nahid","contributorId":337114,"corporation":false,"usgs":false,"family":"Hasan","given":"Md Nahid","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":902039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denevan, Alex","contributorId":337116,"corporation":false,"usgs":false,"family":"Denevan","given":"Alex","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":902040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256492,"text":"70256492 - 2024 - Both Landsat- and LiDAR-derived measures predict forest bee response to large-scale wildfire","interactions":[],"lastModifiedDate":"2024-08-19T17:28:46.841111","indexId":"70256492","displayToPublicDate":"2024-02-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Both Landsat- and LiDAR-derived measures predict forest bee response to large-scale wildfire","docAbstract":"<p>Large-scale disturbances such as wildfire can have profound impacts on the composition, structure, and functioning of ecosystems. Bees are critical pollinators in natural settings and often respond positively to wildfires, particularly in forests where wildfire leads to more open conditions and increased floral resources. The use of Light Detection and Ranging (LiDAR) provides opportunities for quantifying habitat features across large spatial scales and is increasingly available to scientists and land managers for post-fire habitat assessment. We evaluated the extent to which LiDAR-derived forest structure measurements can predict forest bee communities after a large, mixed-severity fire. We hypothesized that LiDAR measurements linked to post-fire forest structure would improve our ability to predict bee abundance and species richness when compared to satellite-based maps of burn severity. To test this hypothesis, we sampled wild bee communities within the Douglas Fire Complex in southwestern Oregon, USA. We then used LiDAR and Landsat data to quantify forest structure and burn severity, respectively, across bee sampling locations. We found that the LiDAR forest structure model was the best predictor of abundance, whereas the Landsat burn severity model had better predictive ability for species richness. Furthermore, the Landsat burn severity model was better at predicting the presence and species richness of bumble bees (Bombus spp.), an ecologically distinct and economically important group within the Pacific Northwest. We posit that the divergent responses of the two modeling approaches are due to distinct responses by bee taxa to variation in forest structure as mediated by wildfire, with bumble bees in particular depending on closed-canopy forest for some portions of their life cycle. Our study demonstrates that LiDAR data can provide information regarding the drivers of bee abundance in post-wildfire conifer forest, and that both remote sensing approaches are useful for predicting components of wild bee diversity after large-scale wildfire.</p>","language":"English","doi":"10.1002/rse2.354","usgsCitation":"Galbraith, S.M., Valente, J., Dunn, C.J., and Rivers, J.W., 2024, Both Landsat- and LiDAR-derived measures predict forest bee response to large-scale wildfire: Remote Sensing in Ecology and Conservation, v. 10, no. 1, p. 24-38, https://doi.org/10.1002/rse2.354.","productDescription":"15 p.","startPage":"24","endPage":"38","ipdsId":"IP-144537","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440572,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.354","text":"Publisher Index Page"},{"id":432888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Douglas Fire Complex, southwestern Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.576158064366,\n              43.53770092737449\n            ],\n            [\n              -123.576158064366,\n              42.89081714418663\n            ],\n            [\n              -123.04040779515724,\n              42.89081714418663\n            ],\n            [\n              -123.04040779515724,\n              43.53770092737449\n            ],\n            [\n              -123.576158064366,\n              43.53770092737449\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-07-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Galbraith, Sara M.","contributorId":340887,"corporation":false,"usgs":false,"family":"Galbraith","given":"Sara","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":907638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":910913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Christopher J.","contributorId":340888,"corporation":false,"usgs":false,"family":"Dunn","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":907640,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rivers, James W.","contributorId":23072,"corporation":false,"usgs":false,"family":"Rivers","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":7005,"text":"Department of Forest Ecosystems and Society, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":907641,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70256538,"text":"70256538 - 2024 - Spatiotemporal dynamics of duck harvest distributions in the Central and Mississippi flyways, 1960–2019","interactions":[],"lastModifiedDate":"2024-08-19T16:15:48.614321","indexId":"70256538","displayToPublicDate":"2024-02-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal dynamics of duck harvest distributions in the Central and Mississippi flyways, 1960–2019","docAbstract":"<p><span>Geographical distributions of waterfowl exhibit annual variation in response to spatiotemporal variation in weather conditions, habitat availability, and other factors. Continuing changes in climate and land use could lead to persistent shifts of waterfowl distributions, potentially causing a mismatch with habitat conservation planning, wetland restoration efforts, and harvest management decisions informed by historical distributions. We used band recoveries and harvest records (i.e., hunter-harvested wings) from the United States Fish and Wildlife Service Waterfowl Parts Collection Survey as indices of duck distribution in autumn and winter, and quantified intra-annual, interannual, and interspecific variation in their geographic distributions across 6 decades (1960–2019) for 15 duck species in the Central and Mississippi flyways in North America. Specifically, we tested for annual and decadal shifts in mean latitude and longitude of recoveries for each month (Oct–Jan) by species and taxonomic guild (i.e., dabbling, diving ducks). Overall, species varied in the extent, timing, and sometimes direction, of distributional change in recoveries. From 1960–2019, mean recovery locations for dabbling ducks shifted south 105–296 km in October and 27 km in November (wings only), whereas mean latitudes shifted north 144–234 km in December and 186–301 km in January. Mean recovery locations for diving ducks shifted north 162 km in October (wings only), 84–173 km in December, and 66–120 km in January, but shifted 99–512 km south in November. Shifts in longitude were less consistent between guilds and data types. Finally, distributional change rarely accelerated during recent decades, except for southward shifts of band recoveries of diving ducks in November and northward shifts of band and wing recoveries of dabbling ducks in January. Although anecdotal accounts of large-scale northward shifts in duck distributions are prolific in the land management and hunting communities, our data demonstrate more subtle shifts that vary considerably by species and month. Observed changes in recovery distributions could necessitate changes in timing of habitat management practices throughout the Central and Mississippi flyways and may result in fewer hunting and recreational opportunities for some species in southern states. Quantifying patterns of historical change is a necessary first step to understanding temporal and interspecific variation in waterfowl distributions, which will help with landscape-scale conservation and management efforts in the future and enable effective communication to core constituencies regarding ongoing changes and their implications for recreational engagement.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.22521","usgsCitation":"Verheijen, B., Webb, E.B., Brasher, M., and Hagy, H.M., 2024, Spatiotemporal dynamics of duck harvest distributions in the Central and Mississippi flyways, 1960–2019: The Journal of Wildlife Management, v. 88, no. 2, e22521, 18 p., https://doi.org/10.1002/jwmg.22521.","productDescription":"e22521, 18 p.","ipdsId":"IP-151486","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432886,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.31640625,\n              28.92163128242129\n            ],\n            [\n              -85.4296875,\n              28.92163128242129\n            ],\n            [\n              -85.4296875,\n              51.069016659603896\n            ],\n            [\n              -99.31640625,\n              51.069016659603896\n            ],\n            [\n              -99.31640625,\n              28.92163128242129\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Verheijen, Bram H. F.","contributorId":274514,"corporation":false,"usgs":false,"family":"Verheijen","given":"Bram H. F.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":907872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":338627,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael G.","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":907874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagy, Heath M.","contributorId":172326,"corporation":false,"usgs":false,"family":"Hagy","given":"Heath","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":907875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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