{"pageNumber":"126","pageRowStart":"3125","pageSize":"25","recordCount":165309,"records":[{"id":70259584,"text":"sir20245094 - 2024 - U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes","interactions":[],"lastModifiedDate":"2025-03-03T14:46:26.26243","indexId":"sir20245094","displayToPublicDate":"2024-10-15T07:48:51","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5094","displayTitle":"U.S. Geological Survey Tunison Laboratory of Aquatic Science Research to Rehabilitate Native Prey Fish of the Lake Ontario Fish Community—Coregonine Fishes","title":"U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes","docAbstract":"<p>Restoration of native coregonines to Lake Ontario of the Laurentian Great Lakes will improve the diversity of forage for salmonid predators and ecological function in the lake, but efficacy of experimental releases for native species restoration must be evaluated. The Coregonine Research Program at the U.S. Geological Survey Tunison Laboratory of Aquatic Science encompassed a diverse array of research, with an emphasis on improved culture methods and field assessments of experimentally released juvenile coregonines. This research was carried out to support the Fish Community Objectives of the Lake Ontario Committee, is funded largely by the Great Lakes Restoration Initiative, and was done in collaboration with other laboratories and agencies, particularly, the U.S. Fish and Wildlife Service; New York State Department of Environmental Conservation; Ontario Ministry of Natural Resources and Forestry; and other U.S. Geological Survey laboratories. The Tunison Laboratory of Aquatic Science and partners have developed new and innovative hatchery techniques to raise cisco and bloater to life stages suitable for survival in Lake Ontario; assessed adult bloater survival in Lake Ontario; and evaluated survival, return rate, and reproduction of adult cisco in historic spawning locations in Lake Ontario embayments. Successes, challenges, and research needs are discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245094","usgsCitation":"McKenna, J.E., Jr., Johnson, J.H., Lapan, S., Chalupnicki, M., Mackey, G., Millard, M., Loftus, K., Connerton, M., Legard, C., and Gorsky, D., 2024, U.S. Geological Survey Tunison Laboratory of Aquatic Science research to rehabilitate native prey fish of the Lake Ontario fish community—Coregonine fishes (ver. 1.1, February 2025): U.S. Geological Survey Scientific Investigations Report 2024–5094, 20 p., https://doi.org/10.3133/sir20245094.","productDescription":"v, 20 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-127523","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":482651,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245094/full"},{"id":482650,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5094/images/"},{"id":482652,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2024/5094/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":482649,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5094/sir20245094.XML"},{"id":482648,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5094/sir20245094.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5094"},{"id":464338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5094/coverthb2.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.21906431864426,\n              42.90834987381433\n            ],\n            [\n              -75.67072447489446,\n              42.90834987381433\n            ],\n            [\n              -75.67072447489446,\n              44.55934805527755\n            ],\n            [\n              -80.21906431864426,\n              44.55934805527755\n            ],\n            [\n              -80.21906431864426,\n              42.90834987381433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: October 15, 2024; Version 1.1: February 28, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/great-lakes-science-center\" data-mce-href=\"https://www.usgs.gov/centers/great-lakes-science-center\">Great Lakes Science Center</a><br>U.S. Geological Survey<br>1451 Green Road<br>Ann Arbor, MI 48105</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-10-15","revisedDate":"2025-02-28","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James H. 0000-0002-5619-3871 jhjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5619-3871","contributorId":389,"corporation":false,"usgs":true,"family":"Johnson","given":"James","email":"jhjohnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lapan, Steven","contributorId":293871,"corporation":false,"usgs":false,"family":"Lapan","given":"Steven","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":915797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915798,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackey, Gregg 0000-0002-6073-2487 gmackey@usgs.gov","orcid":"https://orcid.org/0000-0002-6073-2487","contributorId":293866,"corporation":false,"usgs":true,"family":"Mackey","given":"Gregg","email":"gmackey@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915799,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Millard, Mike","contributorId":194166,"corporation":false,"usgs":false,"family":"Millard","given":"Mike","email":"","affiliations":[{"id":26874,"text":"USFWS, Lamar, PA","active":true,"usgs":false}],"preferred":false,"id":915800,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Loftus, Kevin","contributorId":293865,"corporation":false,"usgs":false,"family":"Loftus","given":"Kevin","email":"","affiliations":[{"id":12864,"text":"OMNRF","active":true,"usgs":false}],"preferred":false,"id":915801,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Connerton, Michael 0000-0001-5400-4347","orcid":"https://orcid.org/0000-0001-5400-4347","contributorId":302344,"corporation":false,"usgs":false,"family":"Connerton","given":"Michael","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":915802,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Legard, Christopher","contributorId":272073,"corporation":false,"usgs":false,"family":"Legard","given":"Christopher","email":"","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":915803,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":915804,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gorsky, Dimitry 0000-0003-1708-539X","orcid":"https://orcid.org/0000-0003-1708-539X","contributorId":295528,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitry","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915805,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70259639,"text":"70259639 - 2024 - Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses","interactions":[],"lastModifiedDate":"2024-10-18T12:22:40.459817","indexId":"70259639","displayToPublicDate":"2024-10-15T07:21:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abss0001\"><div id=\"spara008\" class=\"u-margin-s-bottom\">Core sagebrush areas (CSAs), patches of high sagebrush ecological integrity, continue to decline despite significant conservation and restoration investments across the sagebrush biome. Historically, conservation decisions in the biome have been driven by wildlife species-specific demands, but increasing recognition of the scale of threats and the pace of ecosystem degradation has compelled a shift towards threat-based ecosystem management. Therefore, there is a need to evaluate the scale of conservation implementation relative to the rate of degradation or loss from specific threats to the biome to assess whether a conservation deficit exists. To this end, we: 1) quantified and compared the average hectares of conservation practices implemented annually relative to the hectares of CSA loss attributed to each threat; 2) evaluated the relative amount of conservation actions in core sagebrush areas, growth opportunity areas, and other rangeland areas; and 3) assessed how much additional conservation may be needed to stop CSA declines. We then quantified how better spatial targeting and enhanced coordination might reduce the total additional amount of future conservation needed, and evaluated how an influx of resources can close the conservation gap, or the deficit between the conservation needed to offset annual loss and degradation and the capacity for conservation implementation. We found that current rates of conservation (e.g., hectares treated annually) are markedly lower than rates of CSA loss (∼10% of average annual loss). Furthermore, most conservation actions, ∼90% for some treatment types, occurred outside of CSAs likely reducing the efficacy of these conservation actions at retaining and restoring intact sagebrush rangelands. Additionally, we found that conservation efforts will need to increase by more than an order of magnitude (at least 10x) annually to halt CSA declines. However, through better spatial targeting of conservation actions, the increase in conservation needed to stop CSA loss could be reduced by 70% or more. This analysis demonstrates the divergent futures that may await the sagebrush biome pending key decisions regarding conservation targeting, stakeholder cooperation, and the strategic addition of resources.</div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.016","usgsCitation":"Mozelewski, T.G., Freeman, P.T., Kumar, A.V., Naugle, D., Olimpi, E.M., Morford, S.L., Jeffries, M.I., Pilliod, D., Littlefield, C.E., McCord, S.E., Wiechman, L.A., Kachergis, E.J., and Doherty, K., 2024, Closing the conservation gap in the sagebrush biome: Spatial targeting and coordination are needed for conservation to keep pace with sagebrush losses: Rangeland Ecology and Management, v. 97, p. 12-24, https://doi.org/10.1016/j.rama.2024.08.016.","productDescription":"13 p.","startPage":"12","endPage":"24","ipdsId":"IP-164281","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466846,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.016","text":"Publisher Index Page"},{"id":462999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mozelewski, Tina G.","contributorId":345236,"corporation":false,"usgs":false,"family":"Mozelewski","given":"Tina","email":"","middleInitial":"G.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Patrick T.","contributorId":345237,"corporation":false,"usgs":false,"family":"Freeman","given":"Patrick","email":"","middleInitial":"T.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kumar, Alexander V. 0000-0003-3831-5924","orcid":"https://orcid.org/0000-0003-3831-5924","contributorId":224038,"corporation":false,"usgs":false,"family":"Kumar","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Naugle, David E.","contributorId":255114,"corporation":false,"usgs":false,"family":"Naugle","given":"David E.","affiliations":[{"id":51432,"text":"W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, MT, 59812, USA","active":true,"usgs":false}],"preferred":false,"id":916107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olimpi, Elissa M.","contributorId":345241,"corporation":false,"usgs":false,"family":"Olimpi","given":"Elissa","email":"","middleInitial":"M.","affiliations":[{"id":13470,"text":"Conservation Science Partners","active":true,"usgs":false}],"preferred":false,"id":916108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morford, Scott L.","contributorId":345243,"corporation":false,"usgs":false,"family":"Morford","given":"Scott","email":"","middleInitial":"L.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Littlefield, Caitlin E. 0000-0003-3771-7956","orcid":"https://orcid.org/0000-0003-3771-7956","contributorId":220623,"corporation":false,"usgs":false,"family":"Littlefield","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":916112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":916113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":916114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kachergis, Emily J.","contributorId":345248,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":916115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":916116,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70259603,"text":"70259603 - 2024 - The state of the bats in North America","interactions":[],"lastModifiedDate":"2024-11-22T16:14:27.671078","indexId":"70259603","displayToPublicDate":"2024-10-15T06:41:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":801,"text":"Annals of the New York Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The state of the bats in North America","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>The world's rich diversity of bats supports healthy ecosystems and important ecosystem services. Maintaining healthy biological systems requires prompt identification of threats to biodiversity and immediate action to protect species, which for wide-ranging bat species that span geopolitical boundaries warrants international coordination. Anthropogenic forces drive the threats to bats throughout North America and the world. We conducted an international expert elicitation to assess the status of 153 bat species in Canada, the United States, and Mexico. We used expert assessment to determine the conservation status, highest impact threats, and recent population trends for these species. We found that 53% of North American bat species have moderate to very high risk of extinction in the next 15 years. The highest impact threats varied with species and country, and four IUCN threat categories had the greatest overall impacts: Climate Change, Problematic Species (including disease), Agriculture, and Energy Production. Experts estimated that 90% of species assessed had decreasing population trends over the past 15 years, demonstrating the need for conservation action. Although the state of North American bats is concerning, we identify threats that can be addressed through internationally collaborative, proactive, and protective actions to support the recovery and resilience of North American bat species.</p></div></div>","language":"English","publisher":"New York Academy of Sciences","doi":"10.1111/nyas.15225","usgsCitation":"Adams, A.M., Trujillo, L.A., Campbell, C., Akre, K.L., Arroyo-Cabrales, J., Burns, L., Coleman, J.T., Dixon, R.D., Francis, C.M., Gamba-Rios, M., Kuczynska, V., McIntire, A., Medellin, R.A., Morris, K.M., Reichard, J.D., Reichert, B., Segers, J.L., Whitby, M.D., and Frick, W.F., 2024, The state of the bats in North America: Annals of the New York Academy of Sciences, v. 1541, no. 1, p. 115-128, https://doi.org/10.1111/nyas.15225.","productDescription":"14 p.","startPage":"115","endPage":"128","ipdsId":"IP-167549","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466847,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nyas.15225","text":"Publisher Index Page"},{"id":462930,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1541","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Amanda M. 0000-0002-8365-6456","orcid":"https://orcid.org/0000-0002-8365-6456","contributorId":345169,"corporation":false,"usgs":false,"family":"Adams","given":"Amanda","email":"","middleInitial":"M.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trujillo, Luis A. 0000-0001-8364-6189","orcid":"https://orcid.org/0000-0001-8364-6189","contributorId":345170,"corporation":false,"usgs":false,"family":"Trujillo","given":"Luis","email":"","middleInitial":"A.","affiliations":[{"id":82509,"text":"Institute of Ecology, UNAM, Circuito Exterior Sin Número, Ciudad Universitaria, Coyoacán, C.P. 04510, CDMX, Mexico","active":true,"usgs":false}],"preferred":false,"id":915898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, C.J. 0000-0002-8199-7775","orcid":"https://orcid.org/0000-0002-8199-7775","contributorId":345171,"corporation":false,"usgs":false,"family":"Campbell","given":"C.J.","email":"","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akre, Karen L. 0009-0000-6544-2860","orcid":"https://orcid.org/0009-0000-6544-2860","contributorId":345172,"corporation":false,"usgs":false,"family":"Akre","given":"Karen","email":"","middleInitial":"L.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arroyo-Cabrales, Joaquin 0000-0002-9095-489X","orcid":"https://orcid.org/0000-0002-9095-489X","contributorId":345173,"corporation":false,"usgs":false,"family":"Arroyo-Cabrales","given":"Joaquin","email":"","affiliations":[{"id":82510,"text":"Laboratorio de Arqueozoología, Instituto Nacional de Antropología e Historia, Moneda 16, Centro Histórico, 06060, CDMX, México","active":true,"usgs":false}],"preferred":false,"id":915901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burns, Leanne 0009-0003-2325-0168","orcid":"https://orcid.org/0009-0003-2325-0168","contributorId":345174,"corporation":false,"usgs":false,"family":"Burns","given":"Leanne","email":"","affiliations":[{"id":82511,"text":"Association of Fish and Wildlife Agencies, 1100 First Street NE, Suite 825, Washington, DC 20002, USA","active":true,"usgs":false}],"preferred":false,"id":915902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Coleman, Jeremy T.H. 0000-0002-2762-947X","orcid":"https://orcid.org/0000-0002-2762-947X","contributorId":239956,"corporation":false,"usgs":false,"family":"Coleman","given":"Jeremy","email":"","middleInitial":"T.H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dixon, Rita D. 0000-0003-3039-5122","orcid":"https://orcid.org/0000-0003-3039-5122","contributorId":345175,"corporation":false,"usgs":false,"family":"Dixon","given":"Rita","email":"","middleInitial":"D.","affiliations":[{"id":82512,"text":"Idaho Department of Fish and Game, 600 S Walnut St., Boise, ID 83712, USA","active":true,"usgs":false}],"preferred":false,"id":915904,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Francis, Charles M.","contributorId":195680,"corporation":false,"usgs":false,"family":"Francis","given":"Charles","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":915905,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gamba-Rios, Melquisedec 0000-0003-0669-3795","orcid":"https://orcid.org/0000-0003-0669-3795","contributorId":345176,"corporation":false,"usgs":false,"family":"Gamba-Rios","given":"Melquisedec","email":"","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915906,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kuczynska, Vona 0000-0003-1726-390X","orcid":"https://orcid.org/0000-0003-1726-390X","contributorId":345177,"corporation":false,"usgs":false,"family":"Kuczynska","given":"Vona","email":"","affiliations":[{"id":82513,"text":"U.S. Fish and Wildlife Service, Northeast Regional Office, 300 Westgate Center Drive, Hadley, MA 01035, USA","active":true,"usgs":false}],"preferred":false,"id":915907,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McIntire, Angie 0009-0004-8738-5894","orcid":"https://orcid.org/0009-0004-8738-5894","contributorId":345178,"corporation":false,"usgs":false,"family":"McIntire","given":"Angie","email":"","affiliations":[{"id":82514,"text":"Arizona Game and Fish Department, 5000 W. Carefree Highway, Phoenix, AZ 85086, USA","active":true,"usgs":false}],"preferred":false,"id":915908,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Medellin, Rodrigo A. 0000-0002-4242-5344","orcid":"https://orcid.org/0000-0002-4242-5344","contributorId":345179,"corporation":false,"usgs":false,"family":"Medellin","given":"Rodrigo","email":"","middleInitial":"A.","affiliations":[{"id":82509,"text":"Institute of Ecology, UNAM, Circuito Exterior Sin Número, Ciudad Universitaria, Coyoacán, C.P. 04510, CDMX, Mexico","active":true,"usgs":false}],"preferred":false,"id":915909,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morris, Katrina M.","contributorId":267212,"corporation":false,"usgs":false,"family":"Morris","given":"Katrina","email":"","middleInitial":"M.","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":915910,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Reichard, Jonathan D. 0000-0002-4792-2868","orcid":"https://orcid.org/0000-0002-4792-2868","contributorId":337073,"corporation":false,"usgs":false,"family":"Reichard","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":915911,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":915912,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Segers, Jordi L.","contributorId":248486,"corporation":false,"usgs":false,"family":"Segers","given":"Jordi","email":"","middleInitial":"L.","affiliations":[{"id":49930,"text":"Canadian Health Cooperative","active":true,"usgs":false}],"preferred":false,"id":915913,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Whitby, Michael D. 0000-0002-0694-3830","orcid":"https://orcid.org/0000-0002-0694-3830","contributorId":345180,"corporation":false,"usgs":false,"family":"Whitby","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":82508,"text":"Bat Conservation International, 500 N Capital of Texas Highway, Austin, TX, 78746 USA","active":true,"usgs":false}],"preferred":false,"id":915914,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Frick, Winifred F. 0000-0002-9469-1839","orcid":"https://orcid.org/0000-0002-9469-1839","contributorId":337076,"corporation":false,"usgs":false,"family":"Frick","given":"Winifred","email":"","middleInitial":"F.","affiliations":[{"id":12591,"text":"Bat Conservation International","active":true,"usgs":false}],"preferred":false,"id":915915,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70260381,"text":"70260381 - 2024 - An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie","interactions":[],"lastModifiedDate":"2024-10-31T11:44:01.543101","indexId":"70260381","displayToPublicDate":"2024-10-15T06:39:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3897,"text":"Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie","docAbstract":"<div class=\"hlFld-Abstract\"><p class=\"last\">In large lakes, metal availability sometimes limits the acquisition of nutrients (nitrogen, N and phosphorus, P) in offshore waters that are relatively isolated from tributaries and sediments. We hypothesize that metals may also be important within harmful algal blooms (HABs). HABs occur where nutrient loads are elevated, but bioassays often indicate that phytoplankton in HABs are N or P limited. Nutrient limitation may be exacerbated by corresponding limitations in several metals (i.e. nickel - Ni, molybdenum - Mo, zinc - Zn, and iron - Fe) that facilitate uptake and transformation of oxidized and organic forms of nutrients, such as urea, nitrate and organic phosphorus. The cyanotoxin microcystin has been hypothesized to have a role in metal management, so metal demand may also influence the toxicity of HABs. Here, we used nutrient diffusing substrates to measure how N, P, Ni, Mo, Zn and Fe amendments influenced the growth and toxicity of periphyton. Periphyton was grown suspended in 10 nearshore sites in Lake Michigan and Lake Erie (5 with and 5 without perennial HABs). Outside of blooms, we found no evidence for metal limitation or co-limitation. However, evidence for metal co-limitation was observed in two HABs sites (Zn in Green Bay and Zn, Mo, Ni and Fe in Sandusky Bay). N, P and Zn amendments all stimulated microcystin content in Maumee Bay. These data indicate that nutrient limitation occurs even within blooms, and the availability of metals may have an influence on growth, community composition and toxicity.</p></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/02705060.2024.2405748","usgsCitation":"Larson, J.H., Costello, D.M., Stoll, J.T., Fitzgibbon, A.S., Bailey, S., and Evans, M.A., 2024, An assessment of N, P, Fe, Zn, Ni and Mo limitation on suspended nutrient diffusing substrates in nearshore areas of Lake Michigan and Lake Erie: Freshwater Ecology, v. 39, no. 1, 2405748, 23 p., https://doi.org/10.1080/02705060.2024.2405748.","productDescription":"2405748, 23 p.","ipdsId":"IP-144308","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":466848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2405748","text":"Publisher Index Page"},{"id":463475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan, Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.20742349238255,\n              44.424852801822794\n            ],\n            [\n              -87.68007974238255,\n              44.424852801822794\n            ],\n            [\n              -87.68007974238255,\n              44.79245610900287\n            ],\n            [\n              -88.20742349238255,\n              44.79245610900287\n            ],\n            [\n              -88.20742349238255,\n              44.424852801822794\n            ]\n          ]\n        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Center","active":true,"usgs":true}],"preferred":true,"id":917488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Costello, David M. 0000-0002-1532-5399","orcid":"https://orcid.org/0000-0002-1532-5399","contributorId":255146,"corporation":false,"usgs":false,"family":"Costello","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":917489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoll, Jordyn T.","contributorId":345787,"corporation":false,"usgs":false,"family":"Stoll","given":"Jordyn","email":"","middleInitial":"T.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":917490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzgibbon, Andrea S.","contributorId":345788,"corporation":false,"usgs":false,"family":"Fitzgibbon","given":"Andrea","email":"","middleInitial":"S.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":917491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":917492,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":917493,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259449,"text":"ofr20241057 - 2024 - Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy","interactions":[],"lastModifiedDate":"2024-10-18T18:18:02.080357","indexId":"ofr20241057","displayToPublicDate":"2024-10-15T06:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1057","displayTitle":"Quantifying Potential Effects of China’s Gallium and Germanium Export Restrictions on the U.S. Economy","title":"Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy","docAbstract":"<p>China’s export controls on gallium and germanium exemplify concerns regarding the reliability of supplies of mineral commodities that are essential to economic development, national security, and transition to renewable energy. This report presents a new model that quantifies the potential effects of mineral commodity supply disruptions on the U.S. economy. After calculating postdisruption equilibrium prices and quantities, a nonlinear optimization routine was used along with economic input-output tables to estimate the effects of varying Chinese net export restrictions of gallium and germanium on U.S. gross domestic product (GDP). The results indicated that a complete restriction of China’s net exports of gallium and germanium could cause the U.S. GDP to decrease by $3.1 billion (with lower and upper estimates of $1.7 billion to $8.2 billion) and $0.4 billion ($0.01 billion to $1.1 billion), respectively, if disrupted separately, and $3.4 billion ($1.7 billion to $9.0 billion) if disrupted simultaneously. The proposed model can be applied to other commodities and disruption scenarios.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241057","usgsCitation":"Nassar, N.T., Shojaeddini, E., Alonso, E., Jaskula, B., and Tolcin, A., 2024, Quantifying potential effects of China’s gallium and germanium export restrictions on the U.S. economy: U.S. Geological Survey Open-File Report 2024–1057, 66 p., https://doi.org/10.3133/ofr20241057.","productDescription":"vi, 66 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164579","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":462693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1057/coverthb.jpg"},{"id":462696,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1057/ofr20241057.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1057 XML"},{"id":462697,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1057/images/"},{"id":462694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1057/ofr20241057.pdf","text":"Report","size":"2.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1057 PDF"},{"id":462695,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241057/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1057 HTML"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Significance Statement</li><li>Introduction</li><li>Background on Gallium and Germanium</li><li>Materials and Methods</li><li>Results and Discussion</li><li>Limitations and Applicability</li><li>References Cited</li><li>Appendix 1. Supplemental Information for Quantifying Potential Effects of China’s Gallium and Germanium Export Restrictions on the U.S. Economy</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-10-15","noUsgsAuthors":false,"plainLanguageSummary":"<p>China’s export controls on gallium and germanium illustrate concerns about the reliability of supplies of mineral commodities that are essential to economic development, national security, and transitioning to renewable energy. The U.S. Geological Survey created a new model to quantify the potential effects of mineral commodity supply disruptions from Chinese net export restrictions of gallium and germanium on U.S. gross domestic product (GDP). The results indicated that a complete restriction of China’s net exports of gallium and germanium could cause the U.S. GDP to decrease by $3.1 billion (with lower and upper estimates of $1.7 billion to $8.2 billion) and $0.4 billion ($0.01 billion to $1.1 billion), respectively, if disrupted separately, and $3.4 billion ($1.7 billion to $9.0 billion) if disrupted simultaneously. The proposed model can be applied to other commodities and disruption scenarios.</p>","publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":345023,"corporation":false,"usgs":false,"family":"Shojaeddini","given":"Ensieh","affiliations":[{"id":82464,"text":"Akima System Engineering","active":true,"usgs":false}],"preferred":false,"id":915293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaskula, Brian 0000-0002-4540-1639","orcid":"https://orcid.org/0000-0002-4540-1639","contributorId":345024,"corporation":false,"usgs":true,"family":"Jaskula","given":"Brian","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tolcin, Amy 0000-0001-9447-2444 atolcin@usgs.gov","orcid":"https://orcid.org/0000-0001-9447-2444","contributorId":213768,"corporation":false,"usgs":true,"family":"Tolcin","given":"Amy","email":"atolcin@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":915296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269674,"text":"70269674 - 2024 - Forest cover influences fish mercury concentrations in national parks of the western U.S.","interactions":[],"lastModifiedDate":"2025-07-29T15:11:28.178611","indexId":"70269674","displayToPublicDate":"2024-10-15T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Forest cover influences fish mercury concentrations in national parks of the western U.S.","docAbstract":"<p><span>The global prevalence of mercury (Hg) contamination and its complex biogeochemical cycling has resulted in elevated Hg concentrations in biota in remote and pristine environments. However, there is uncertainty in the relative importance of Hg deposition and landscape factors that control Hg cycling and bioaccumulation. To address this, we measured total mercury (THg) concentrations in 1344 fish across 60 subalpine lakes from 12 national parks (NPs). These parks represent three distinct high-elevation regions across the western U.S.: Cascades and Olympic Peninsula, Sierra Nevada and Great Basin, and Rocky Mountains. Within these regions, three NPs (Mount Rainier, Yosemite, and Rocky Mountain) were intensively studied representatives of each region. This study aimed to (1) assess the magnitude of mercury contamination in a collection of remote, small catchment lakes; (2) quantify the variability of fish THg concentrations among and within parks; and (3) test the relative importance of Hg inputs in comparison to landscape characteristics on lake-specific fish THg concentrations. The spatial variability in fish THg concentrations was 2.6-fold higher than variation in deposition to watersheds, suggesting that factors other than Hg delivery are important determinants of Hg accumulation in these environments. Spatially, fish THg concentrations (ng/g ww&nbsp;±&nbsp;standard error) were lower in the Rockies (46.2&nbsp;±&nbsp;5.0) and Sierra (56.5&nbsp;±&nbsp;5.8) compared to the Cascades (67.8&nbsp;±&nbsp;6.1). Additionally, fish THg concentrations increased with increasing conifer forest cover (Intensive parks:&nbsp;</span><i>P</i><span>&nbsp;&lt;&nbsp;0.0001, R</span><sup>2</sup><span>&nbsp;=&nbsp;0.43; All parks:&nbsp;</span><i>P</i><span>&nbsp;=&nbsp;0.0001, R</span><sup>2</sup><span>&nbsp;=&nbsp;0.23) but were not correlated with wet Hg deposition across the catchment. These findings suggest that forest composition is likely an important aspect of Hg delivery to lake food webs, and although the mechanisms are unclear, could be tied to some combination of forest influences on catchment organic carbon and increased surface area for dry Hg deposition.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.176936","usgsCitation":"Flanagan-Pritz, C.M., Johnson, B.L., Willacker, J., Kennedy, C.M., Daniele, N., and Eagles-Smith, C., 2024, Forest cover influences fish mercury concentrations in national parks of the western U.S.: Science of the Total Environment, v. 955, 176936, 10 p., https://doi.org/10.1016/j.scitotenv.2024.176936.","productDescription":"176936, 10 p.","ipdsId":"IP-167506","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":493324,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.176936","text":"Publisher Index Page"},{"id":493107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.90372169965117,\n              48.83924487815952\n            ],\n            [\n              -124.90372169965117,\n              35.409036548087556\n            ],\n            [\n              -104.74017350711692,\n              35.409036548087556\n            ],\n            [\n              -104.74017350711692,\n              48.83924487815952\n            ],\n            [\n              -124.90372169965117,\n              48.83924487815952\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"955","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flanagan-Pritz, Colleen M.","contributorId":301093,"corporation":false,"usgs":false,"family":"Flanagan-Pritz","given":"Colleen","email":"","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":944351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Christopher M.","contributorId":346473,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":944354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniele, Ninette R.","contributorId":358885,"corporation":false,"usgs":false,"family":"Daniele","given":"Ninette R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":944355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":944356,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267866,"text":"70267866 - 2024 - Climate change amplifies ongoing declines in sagebrush ecological integrity","interactions":[],"lastModifiedDate":"2025-06-05T15:13:00.158649","indexId":"70267866","displayToPublicDate":"2024-10-15T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Climate change amplifies ongoing declines in sagebrush ecological integrity","docAbstract":"Understanding how climate change will contribute to ongoing declines in sagebrush ecological integrity is critical for informing natural resource management, yet complicated by interactions with wildfire and biological invasions. Here, we assessed potential future changes in sagebrush ecological integrity under a range of scenarios using an individual plant-based simulation model, integrated with remotely sensed estimates of current sagebrush ecological integrity. The simulation model allowed us to estimate how climate change, wildfire, and invasive annuals interact to alter the potential abundance of key plant functional types that influence sagebrush ecological integrity: sagebrush, perennial grasses, and annual grasses. Our results suggest that climate driven reductions in sagebrush ecological integrity may occur over broader areas than increases in sagebrush ecological integrity. Declines in sagebrush ecological integrity were most likely in hot and dry regions while increases were more likely in cool and wet regions. Increases in wildfire probability, largely driven by increasing invasive annual grass abundance, resulted in projected declines in sagebrush abundance and sagebrush ecological integrity in some regions, particularly the Great Basin. The most common projected transitions in sagebrush habitat classification were declines from Core Sagebrush Area to Growth Opportunity Area and from Growth Opportunity Area to Other Rangeland Area. Responses varied considerably across projections from different global climate models, highlighting the importance of climate uncertainty. However, our projections tended to be robust in areas that currently have the highest sagebrush ecological integrity. Our results provide a long-term perspective on the vulnerability of sagebrush ecosystems to climate change and may inform geographic prioritization of conservation and restoration investments. These results suggest that ongoing threats, such as the continued invasion by annual grasses and increased wildfire frequency, are likely to be amplified by climate change, and imply that the current imbalance between capacity for conservation to address threats to sagebrush will grow as the climate warms.","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.003","usgsCitation":"Holdrege, M., Palmquist, K.A., Schlaepfer, D.R., Lauenroth, W.K., Boyd, C.S., Creutzburg, M.K., Crist, M., Doherty, K., Remington, T., Tull, J.C., Wiechman, L.A., and Bradford, J., 2024, Climate change amplifies ongoing declines in sagebrush ecological integrity: Rangeland Ecology and Management, v. 97, p. 25-40, https://doi.org/10.1016/j.rama.2024.08.003.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-163697","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.003","text":"Publisher Index Page"},{"id":489688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n          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University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":939178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. 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,{"id":70262444,"text":"70262444 - 2024 - Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range","interactions":[],"lastModifiedDate":"2025-01-21T15:07:55.662733","indexId":"70262444","displayToPublicDate":"2024-10-14T09:19:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range","docAbstract":"<p><span>Climate-related shifts in hatch timing could mean that age-0 largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>&nbsp;in north temperate lakes reach larger sizes and experience higher survival, which may contribute to increased prevalence of this species in many lakes. However, information on age-0 largemouth bass life history is lacking for these lakes. We estimated hatch dates, daily growth rates (DGR), and length-based probability of piscivory of age-0 largemouth bass in Wisconsin lakes to: (1) provide baseline data on early life history; (2) compare hatch timing between years with different spring temperature regimes, and (3) project how shifts in hatch timing might influence total length (TL) distributions of age-0 bass if mean DGR remained constant. Most age-0 largemouth bass (&gt;90%) collected from ten Wisconsin lakes (</span><i>N</i><span> = 746) hatched between 23 May and 24 June during 2012 and 2013 and did not switch to piscivory during their first summer. Prevalence of positive correlations (16 of 24 lake-year pairings) between TL in and age indicates hatch timing may influence TLs attained by age-0 largemouth bass in August in some lake-years. Mean daily water temperatures in May 2012 were 3.1 °C warmer than in May 2013 for the five of the six lakes where hatch dates were estimated in both years. On average, earliest and median hatch dates for age-0 largemouth bass in these six lakes were 10–11 d earlier in 2012 than in 2013 and hatch duration was approximately 8 d longer in 2012. Despite differences in hatch timing, mean DGR was relatively consistent (range = 0.61–0.74 mm/d) between lakes and years. Simple simulations suggest that earlier hatch dates could result in more age-0 largemouth bass reaching TLs associated with piscivory and overwinter survival by the end of their first summer if growth rates did not change, which could translate to higher recruitment.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2024.2403360","usgsCitation":"Coppola, G., Kelling, C., Dembkowski, D., and Isermann, D.A., 2024, Hatch timing of largemouth bass: Implications for recruitment at the northern edge of their native range: Journal of Freshwater Ecology, v. 39, no. 1, 2403360, 17 p., https://doi.org/10.1080/02705060.2024.2403360.","productDescription":"2403360, 17 p.","ipdsId":"IP-155075","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481056,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2024.2403360","text":"Publisher Index 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 \"}}]}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Coppola, Giancarlo","contributorId":349329,"corporation":false,"usgs":false,"family":"Coppola","given":"Giancarlo","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelling, Craig J.","contributorId":349330,"corporation":false,"usgs":false,"family":"Kelling","given":"Craig J.","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924225,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel J.","contributorId":349331,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":83472,"text":"University of Wisconsin–Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924226,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262087,"text":"70262087 - 2024 - Reframing conservation audiences from individuals to social beings","interactions":[],"lastModifiedDate":"2025-01-13T15:13:51.158748","indexId":"70262087","displayToPublicDate":"2024-10-14T09:10:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1326,"text":"Conservation Letters","active":true,"publicationSubtype":{"id":10}},"title":"Reframing conservation audiences from individuals to social beings","docAbstract":"<p><span>Environmental practitioners often develop communications and behavior change interventions that conceptualize individuals as consumers or as other limited, standalone personae. This view neglects the role of conservation audiences as social beings with complex social relationships and networks, potentially resulting in lost opportunities to increase the effectiveness of conservation interventions. We offer a reframing of individuals as members of social networks who can influence others through their many different societal roles. This framing may help individuals recognize their potential to affect large-scale societal structures and empower them to contribute to systemic changes. In practice, conservation organizations might increase the impact and reach of their behavioral interventions by targeting social referents (individuals or groups who people reference for accepted and desired behaviors) and leveraging interpersonal relationships. This includes encouraging individuals to make use of their networks to discuss issues such as biodiversity loss with a variety of acquaintances to normalize them as a topic of conversation. We argue that organizations can leverage the power of social networks to amplify change and promote the message that people change the world through their social ties, thereby inspiring audiences to further engage in conservation behaviors.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/conl.13064","usgsCitation":"Thomas-Walters, L., Cologna, V., de Lange, E., Ettinger, J., Selinske, M., and Jones, M.S., 2024, Reframing conservation audiences from individuals to social beings: Conservation Letters, v. 17, no. 6, e13064, 7 p., https://doi.org/10.1111/conl.13064.","productDescription":"e13064, 7 p.","ipdsId":"IP-159262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":466849,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/conl.13064","text":"Publisher Index Page"},{"id":466112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas-Walters, L.","contributorId":348161,"corporation":false,"usgs":false,"family":"Thomas-Walters","given":"L.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":923040,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cologna, V.","contributorId":348162,"corporation":false,"usgs":false,"family":"Cologna","given":"V.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":923041,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Lange, E.","contributorId":348163,"corporation":false,"usgs":false,"family":"de Lange","given":"E.","affiliations":[{"id":83306,"text":"Wildlife Conservation Society Cambodia Program","active":true,"usgs":false}],"preferred":false,"id":923042,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ettinger, J.","contributorId":348165,"corporation":false,"usgs":false,"family":"Ettinger","given":"J.","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":923043,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Selinske, M.","contributorId":348168,"corporation":false,"usgs":false,"family":"Selinske","given":"M.","affiliations":[{"id":37109,"text":"RMIT University","active":true,"usgs":false}],"preferred":false,"id":923044,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923045,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70260936,"text":"70260936 - 2024 - Migratory strategies across an ecological barrier: Is the answer blowing in the wind?","interactions":[],"lastModifiedDate":"2024-11-15T15:08:35.798316","indexId":"70260936","displayToPublicDate":"2024-10-14T07:54:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migratory strategies across an ecological barrier: Is the answer blowing in the wind?","docAbstract":"<p>Background: Ecological barriers can shape the movement strategies of migratory animals that navigate around or across them, creating migratory divides. Wind plays a large role in facilitating aerial migrations, and can temporally or spatially change the challenge posed by an ecological barrier, with beneficial winds potentially converting a barrier to a corridor. Here, we explore the role wind plays in shaping initial southbound migration strategy between two populations departing from different locations along an ecological barrier. </p><p>Methods: Using GPS satellite transmitters, we tracked the southbound migration of two populations of Short-billed Dowitchers (<i>Limnodromus griseus caurinus</i>) from breeding grounds in Alaska to wintering sites in coastal Mexico. The breeding grounds were positioned in distinct regions along an ecological barrier, the Gulf of Alaska. Between the two populations, we compared migratory timing, wind availability at, and tailwind support en route across the Gulf of Alaska. </p><p>Results: Route choice and arrival timing to wintering sites differed markedly between the two populations: individuals departing from the more westerly site (King Salmon) left at the same time as those from further east (Beluga) but crossed the Gulf of Alaska farther west and arrived along the Pacific coast of Mexico an average of 19 days earlier than their counterparts. Dowitchers from both sites used a slight tailwind to cue departure, but once aloft over the Gulf of Alaska, birds from the more westerly site had up to ten times more tailwind assistance than birds from the more easterly one. </p><p>Conclusions: The distinct migration strategies, and degree of wind assistance experienced, of these two populations demonstrates how differences in wind availability along migratory routes may form the basis for intraspecific variation in migration strategies with potential carryover effects. Future changes in wind regimes may therefore interact with changes in habitat availability to influence migration patterns and migratory bird conservation.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00509-2","usgsCitation":"Bathrick, R.E., Johnson, J.A., Ruthrauff, D.R., Snyder, R., Stager, M., and Senner, N.R., 2024, Migratory strategies across an ecological barrier: Is the answer blowing in the wind?: Movement Ecology, v. 12, no. 1, e70, 15 p., https://doi.org/10.1186/s40462-024-00509-2.","productDescription":"e70, 15 p.","ipdsId":"IP-160741","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466850,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00509-2","text":"Publisher Index Page"},{"id":464123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -165.95960564872016,\n              59.55615778068645\n            ],\n            [\n              -165.95960564872016,\n              55.99945856187486\n            ],\n            [\n              -136.85750784523026,\n              55.99945856187486\n            ],\n            [\n              -136.85750784523026,\n              59.55615778068645\n            ],\n            [\n              -165.95960564872016,\n              59.55615778068645\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Bathrick, Rosalyn E.","contributorId":346300,"corporation":false,"usgs":false,"family":"Bathrick","given":"Rosalyn","email":"","middleInitial":"E.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":918618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":918619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":918620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Rebekah","contributorId":346301,"corporation":false,"usgs":false,"family":"Snyder","given":"Rebekah","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":918621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stager, Maria","contributorId":346302,"corporation":false,"usgs":false,"family":"Stager","given":"Maria","email":"","affiliations":[{"id":82825,"text":"U Mass Amherst","active":true,"usgs":false}],"preferred":false,"id":918622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Senner, Nathan R.","contributorId":140465,"corporation":false,"usgs":false,"family":"Senner","given":"Nathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918623,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70259601,"text":"70259601 - 2024 - Climate futures for lizards and snakes in western North America may result in new species management issues","interactions":[],"lastModifiedDate":"2024-10-17T11:50:25.347223","indexId":"70259601","displayToPublicDate":"2024-10-13T06:49:06","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":"Climate futures for lizards and snakes in western North America may result in new species management issues","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>We assessed changes in fundamental climate-niche space for lizard and snake species in western North America under modeled climate scenarios to inform natural resource managers of possible shifts in species distributions. We generated eight distribution models for each of 130 snake and lizard species in western North America under six time-by-climate scenarios. We combined the highest-performing models per species into a single ensemble model for each scenario. Maps were generated from the ensemble models to depict climate-niche space for each species and scenario. Patterns of species richness based on climate suitability and niche shifts were calculated from the projections at the scale of the entire study area and individual states and provinces, from Canada to Mexico. Squamate species' climate-niche space for the recent-time climate scenario and published known ranges were highly correlated (<i>r</i> = 0.81). Overall, reptile climate-niche space was projected to move northward in the future. Sixty-eight percent of species were projected to expand their current climate-niche space rather than to shift, contract, or remain stable. Only 8.5% of species were projected to lose climate-niche space in the future, and these species primarily occurred in Mexico and the southwestern U.S. We found few species were projected to lose all suitable climate-niche space at the state or province level, although species were often predicted to occupy novel areas, such as at higher elevations. Most squamate species were projected to increase their climate-niche space in future climate scenarios. As climate niches move northward, species are predicted to cross administrative borders, resulting in novel conservation issues for local landowners and natural resource agencies. However, information on species dispersal abilities, landscape connectivity, biophysical tolerances, and habitat suitability is needed to contextualize predictions relative to realized future niche expansions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70379","usgsCitation":"Pilliod, D., Jeffries, M.I., Arkle, R., and Olson, D., 2024, Climate futures for lizards and snakes in western North America may result in new species management issues: Ecology and Evolution, v. 14, no. 10, e70379, 23 p., https://doi.org/10.1002/ece3.70379.","productDescription":"e70379, 23 p.","ipdsId":"IP-162916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466851,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70379","text":"Publisher Index Page"},{"id":462932,"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              -127.47583135518329,\n              49.89735710639084\n            ],\n            [\n              -127.47583135518329,\n              29.385857969097202\n            ],\n            [\n              -101.46020635518337,\n              29.385857969097202\n            ],\n            [\n              -101.46020635518337,\n              49.89735710639084\n            ],\n            [\n              -127.47583135518329,\n              49.89735710639084\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jeffries, Michelle I. 0000-0003-1146-1331","orcid":"https://orcid.org/0000-0003-1146-1331","contributorId":202734,"corporation":false,"usgs":true,"family":"Jeffries","given":"Michelle","middleInitial":"I.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218013,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":915895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":915896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259638,"text":"70259638 - 2024 - Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery","interactions":[],"lastModifiedDate":"2024-11-22T16:15:26.154408","indexId":"70259638","displayToPublicDate":"2024-10-13T06:30:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Estimating and monitoring plant population size is fundamental for ecological research, as well as conservation and restoration programs. High-resolution imagery has potential to facilitate such estimation and monitoring. However, remotely sensed estimates typically have higher uncertainty than field measurements, risking biased inference on population status.</li><li>We present a model that accounts for false negative (missed plants) and false positive (misclassified or double-counted plants) error in counts from high-resolution imagery via integration with ground data. We apply it to estimate the abundance of a foundational shrub species in post-wildfire landscapes in the western United States. In these landscapes, plant recruitment is crucial for ecological recovery but locally patchy, motivating the use of spatially extensive measurements from unoccupied aerial systems (UAS). Integrating &gt;16 ha of UAS imagery with &gt;700 georeferenced field plots, we fit our model to generate insights into the prevalence and drivers of observation errors associated with classification algorithms used to distinguish individual plants, relationships between abundance and landscape context, and to generate spatially explicit maps of shrub abundance.</li><li>Raw counts of plant abundance in high-resolution imagery resulted in substantial false negative and false positive observation errors. The probability of detecting (<i>p</i>) adult plants (≥0.25 m tall) varied between sites within 0.52 &lt; p̂adult &lt; 0.82, whereas the detection of smaller plants (&lt;0.25 m) was lower, 0.03 &lt; p̂small &lt; 0.3. On average, we estimate that 19% of all detected plants were false positive errors, which varied spatially in relation to topographic predictors. Abundance declined toward the interior of previous wildfires and was positively associated with terrain roughness.</li><li>Our study demonstrates that integrated models accounting for imperfect detection improve estimates of plant population abundance derived from inherently imperfect UAS imagery. We believe such models will further improve inference on plant population dynamics—relevant to restoration, wildlife habitat and related objectives—and echo previous calls for remote sensing applications to better differentiate between ecological and observational processes.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14421","usgsCitation":"Zaiats, A., Caughlin, T., Cruz, J., Pilliod, D., Cattau, M.E., Liu, R., Rachman, R., Maliha, M., Delparte, D.M., and Clare, J.D., 2024, Propagating observation errors to enable scalable and rigorous enumeration of plant population abundance with aerial imagery: Methods in Ecology and Evolution, v. 15, no. 11, p. 2074-2086, https://doi.org/10.1111/2041-210X.14421.","productDescription":"13 p.","startPage":"2074","endPage":"2086","ipdsId":"IP-163599","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466852,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14421","text":"Publisher Index Page"},{"id":463057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Zaiats, Andrii 0000-0001-8978-4152","orcid":"https://orcid.org/0000-0001-8978-4152","contributorId":257072,"corporation":false,"usgs":false,"family":"Zaiats","given":"Andrii","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caughlin, Trevor 0000-0001-6752-2055","orcid":"https://orcid.org/0000-0001-6752-2055","contributorId":256964,"corporation":false,"usgs":false,"family":"Caughlin","given":"Trevor","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cruz, Jennyffer","contributorId":202194,"corporation":false,"usgs":false,"family":"Cruz","given":"Jennyffer","email":"","affiliations":[{"id":36365,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin – Madison","active":true,"usgs":false}],"preferred":false,"id":916096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":916097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cattau, Megan E 0000-0003-2164-3809","orcid":"https://orcid.org/0000-0003-2164-3809","contributorId":295715,"corporation":false,"usgs":false,"family":"Cattau","given":"Megan","email":"","middleInitial":"E","affiliations":[{"id":63922,"text":"Department of Human-Environment Systems, Boise State University","active":true,"usgs":false}],"preferred":false,"id":916098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Rongsong","contributorId":43480,"corporation":false,"usgs":false,"family":"Liu","given":"Rongsong","email":"","affiliations":[],"preferred":false,"id":916099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rachman, Richard","contributorId":345229,"corporation":false,"usgs":false,"family":"Rachman","given":"Richard","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maliha, Maisha","contributorId":345231,"corporation":false,"usgs":false,"family":"Maliha","given":"Maisha","email":"","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":916101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Delparte, Donna M. 0000-0002-9107-5117","orcid":"https://orcid.org/0000-0002-9107-5117","contributorId":317762,"corporation":false,"usgs":false,"family":"Delparte","given":"Donna","email":"","middleInitial":"M.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":916102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Clare, John DF","contributorId":345235,"corporation":false,"usgs":false,"family":"Clare","given":"John","email":"","middleInitial":"DF","affiliations":[{"id":82529,"text":"Boise State University, University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":916103,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70266208,"text":"70266208 - 2024 - Accounting for multiple uncertainties in a decision-support population viability assessment","interactions":[],"lastModifiedDate":"2025-04-30T16:13:01.203155","indexId":"70266208","displayToPublicDate":"2024-10-13T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for multiple uncertainties in a decision-support population viability assessment","docAbstract":"Conservation and management decisions often must be made on strict timelines, based on the “best available information” regarding a species’ current and expected future status. Simulation models are valuable tools for predicting a species’ future status but must incorporate multiple types of uncertainty in order to provide a complete understanding of plausible outcomes. Here we present a population viability analysis for a data-deficient species proposed for protection under the U.S. Endangered Species Act, the alligator snapping turtle. We used a matrix population model to simulate population trajectories, incorporating both parametric uncertainty and temporal variation into demographic parameters. We used expert elicitation to generate modified survival rates in the presence of specific anthropogenic threats, for which empirical estimates were unavailable. Because uncertainty in the expert elicited values was of particular interest to decision makers, we constructed a set of simulation scenarios to evaluate the sensitivity of model conclusions to the accuracy of expert elicited parameters. Our model predicted steep population declines under all scenarios with anthropogenic threats, indicating that under- or overestimation by experts would not change the overall conclusion that populations would decline. An additional sensitivity analysis revealed that a parameter related to nest survival for which there was high disagreement among experts had a negligible effect on model outcome, while other parameters (e.g., the effect of poaching) had more influence. Our analyses demonstrate the use of an expert-parameterized decision-support population viability analysis that explicitly evaluates the effects of multiple sources of uncertainty on model predictions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110811","usgsCitation":"Christensen, E., Lawson, A.J., Rivenbark, E., London, P., Castellanos, D., Culbertson, J., DeMay, S., Eakin, C., Pearson, L., Soileau, K., Waddle, J.H., and McGowan, C., 2024, Accounting for multiple uncertainties in a decision-support population viability assessment: Biological Conservation, v. 299, 110811, 9 p., https://doi.org/10.1016/j.biocon.2024.110811.","productDescription":"110811, 9 p.","ipdsId":"IP-166532","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496363,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110811","text":"Publisher Index Page"},{"id":485215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Missouri, Oklahoma, Tennessee, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.26834560503738,\n              36.94305476886041\n            ],\n            [\n              -95.26834560503738,\n              29.30630655139835\n            ],\n            [\n              -83.96054528014625,\n              29.30630655139835\n            ],\n            [\n              -83.96054528014625,\n              36.94305476886041\n            ],\n            [\n              -95.26834560503738,\n              36.94305476886041\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Erica M.","contributorId":353992,"corporation":false,"usgs":false,"family":"Christensen","given":"Erica M.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":934932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":934933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivenbark, E.","contributorId":275937,"corporation":false,"usgs":false,"family":"Rivenbark","given":"E.","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"London, P.K.","contributorId":353993,"corporation":false,"usgs":false,"family":"London","given":"P.K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Castellanos, D.","contributorId":353994,"corporation":false,"usgs":false,"family":"Castellanos","given":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Culbertson, J.C.","contributorId":353995,"corporation":false,"usgs":false,"family":"Culbertson","given":"J.C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DeMay, S.M.","contributorId":353996,"corporation":false,"usgs":false,"family":"DeMay","given":"S.M.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":934938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eakin, C.","contributorId":353997,"corporation":false,"usgs":false,"family":"Eakin","given":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934939,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pearson, L.S.","contributorId":353998,"corporation":false,"usgs":false,"family":"Pearson","given":"L.S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934940,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Soileau, K.","contributorId":354001,"corporation":false,"usgs":false,"family":"Soileau","given":"K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":934941,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":934942,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":934943,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70259554,"text":"fs20243039 - 2024 - Landsat geometric and radiometric calibration and characterization","interactions":[],"lastModifiedDate":"2024-10-22T22:25:01.130916","indexId":"fs20243039","displayToPublicDate":"2024-10-11T16:50:46","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3039","displayTitle":"Landsat Geometric and Radiometric Calibration and Characterization","title":"Landsat geometric and radiometric calibration and characterization","docAbstract":"<p class=\"grid\">The U.S. Geological Survey (USGS) Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level (<a class=\"usa-link\" href=\"../publication/fs20243039/full#fs20243039-r1\" data-mce-href=\"../publication/fs20243039/full#fs20243039-r1\" target=\"_blank\" rel=\"noopener\">Haque and others, 2024</a>).</p><p class=\"grid\">The accuracy of the ECCOE team calibration adjustments gives other civil and commercial satellite programs around the globe a trusted criterion and reference point. The ECCOE team works with U.S. and international government agencies and commercial vendors to help harmonize data sources as more frequent, consistent views of Earth benefits scientific research.</p><p class=\"grid\">Since the program started, more than 50 years ago, Landsat data have improved. When advances in calibration and validation today are applied to past satellite missions, researchers can consistently see how land changes over decades. To maintain this criterion, the ECCOE team continues to seek new and better ways to calibrate and validate data, which includes using the moon for calibration and drones for ground validation (fig. 1).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243039","usgsCitation":"Shaw, J., Anderson, C., Choate, M., and Micijevic, E., 2024, Landsat geometric and radiometric calibration and characterization: U.S. Geological Survey Fact Sheet 2024–3039, 4 p., https://doi.org/10.3133/fs20243039.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-170688","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462847,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3039/covrthb.jpg"},{"id":462848,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3039/fs20243039.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462849,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3039/fs20243039.xml"},{"id":462850,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3039/images"},{"id":463094,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243039/full"}],"contact":"<p><a href=\"https://www.usgs.gov/calval\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/calval\">USGS EROS Cal/Val Center of Excellence (ECCOE) Project Team</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><a href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\">Earth Resources Observation and Science</a><br>47914 252nd Street<br>Sioux Falls, SD 57198<br>Email: <a href=\"mailto:eccoe@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:eccoe@usgs.gov\">eccoe@usgs.gov</a></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-10-11","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaw, Jerad 0000-0002-8319-2778 jshaw@usgs.gov","orcid":"https://orcid.org/0000-0002-8319-2778","contributorId":3564,"corporation":false,"usgs":true,"family":"Shaw","given":"Jerad","email":"jshaw@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":915740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":915744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Choate, Mike 0000-0002-8101-4994 choate@usgs.gov","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":4618,"corporation":false,"usgs":true,"family":"Choate","given":"Mike","email":"choate@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":915745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Micijevic, Esad 0000-0002-3828-9239 emicijevic@usgs.gov","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":3075,"corporation":false,"usgs":true,"family":"Micijevic","given":"Esad","email":"emicijevic@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":915746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70259555,"text":"fs20243040 - 2024 - Earth observation remote sensing tools—Assessing systems, trends, and characteristics","interactions":[],"lastModifiedDate":"2024-10-15T10:52:17.799318","indexId":"fs20243040","displayToPublicDate":"2024-10-11T16:44:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3040","displayTitle":"Earth Observation Remote Sensing Tools—Assessing Systems, Trends, and Characteristics","title":"Earth observation remote sensing tools—Assessing systems, trends, and characteristics","docAbstract":"<p>With the ever-increasing number of civil and commercial remote-sensing satellite launches in recent years, the Earth Observation community needs to better understand the quality of new data products as they become available for scientific research purposes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243040","usgsCitation":"Cantrell, S., Clauson, J., and Anderson, C., 2024, Earth observation remote sensing tools–Assessing systems, trends, and characteristics: U.S. Geological Survey Fact Sheet 2024–3040, 2 p., https://doi.org/10.3133/fs20243040.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-170441","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":462842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3040/covrthb.jpg"},{"id":462843,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3040/fs20243040.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":462844,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3040/fs20243040.xml"},{"id":462845,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3040/images"},{"id":462846,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243040/full"}],"contact":"<p><a href=\"https://www.usgs.gov/calval\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/calval\">USGS EROS Cal/Val Center of Excellence (ECCOE) Project Team</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><a href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\">Earth Resources&nbsp;</a><a href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/earth-resources-observation-and-science-eros-center\">Observation and Science</a><br>47914 252nd Street<br>Sioux Falls, SD 57198<br>Email:&nbsp;<a href=\"mailto:%20eccoe@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:%20eccoe@usgs.gov\">eccoe@usgs.gov</a></p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-10-11","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cantrell, Simon J. 0000-0001-6909-1973","orcid":"https://orcid.org/0000-0001-6909-1973","contributorId":259304,"corporation":false,"usgs":false,"family":"Cantrell","given":"Simon J.","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":915741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clauson, Jeff 0000-0003-3406-4988 jclauson@usgs.gov","orcid":"https://orcid.org/0000-0003-3406-4988","contributorId":5230,"corporation":false,"usgs":true,"family":"Clauson","given":"Jeff","email":"jclauson@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":915742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":915743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70262321,"text":"70262321 - 2024 - Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?","interactions":[],"lastModifiedDate":"2025-01-17T20:24:56.941487","indexId":"70262321","displayToPublicDate":"2024-10-11T13:19:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?","docAbstract":"<p><span>The Atlantic sea lamprey (</span><i>Petromyzon marinus</i><span>) is an anadromous species which is a detritivore for years in freshwater, before metamorphosing into a juvenile and feeding parasitically at sea. However, their migratory patterns and marine ecology are poorly characterized. In other fishes, chemical analysis of calcified structures has aided in understanding their life history, but sea lamprey lacks these structures. Recent work using eye lenses suggests an alternate approach. Lenses are stable protein structures that accrue layers on their outer edge as they grow. We used stable isotope ratios (δ</span><sup>x</sup><span>Y) of hydrogen, carbon, nitrogen, and oxygen to explore lens layers and compare lenses to muscle. Returning adults were collected in May 2021 from the Penobscot (Maine), Connecticut (Massachusetts), and Susquehanna (Maryland) rivers. Lenses were dissected into three layers (surface, middle, core) and analyzed separately to investigate changes over time. We used mixed-effects models to assess differences in isotope ratios among lens layers. Isotope ratios changed from the core to the surface layer and δ</span><sup>13</sup><span>C were suggestive of a change from terrestrial to marine sources and δ</span><sup>15</sup><span>N showed an increase in trophic level as individuals grew, as would be expected when transitioning from detrital sources to marine prey. However, the isotope ratios of the outer lens layer generally did not correspond with the muscle, perhaps indicating a different temporal interval. These data suggest temporal accretion of lens proteins provide a record to explore sea lamprey ecology.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-024-01612-4","usgsCitation":"Evans, T., and Zydlewski, J.D., 2024, Peering into the eye of the sea lamprey: What can stable isotopes in lamprey eye lenses reveal about their life history?: Environmental Biology of Fishes, v. 107, p. 1155-1169, https://doi.org/10.1007/s10641-024-01612-4.","productDescription":"15 p.","startPage":"1155","endPage":"1169","ipdsId":"IP-163956","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","city":"Milford","otherGeospatial":"Penobscot River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -68.65624005392965,\n              44.949550366070724\n            ],\n            [\n              -68.65624005392965,\n              44.93578904625113\n            ],\n            [\n              -68.63621986038993,\n              44.93578904625113\n            ],\n            [\n              -68.63621986038993,\n              44.949550366070724\n            ],\n            [\n              -68.65624005392965,\n              44.949550366070724\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Thomas M.","contributorId":348850,"corporation":false,"usgs":false,"family":"Evans","given":"Thomas M.","affiliations":[{"id":52128,"text":"St. Mary’s College of Maryland","active":true,"usgs":false}],"preferred":false,"id":923830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":923831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270801,"text":"70270801 - 2024 - Northern Mexican gartersnake demographics and movement ecology","interactions":[],"lastModifiedDate":"2025-08-25T16:02:02.16547","indexId":"70270801","displayToPublicDate":"2024-10-11T11:00:31","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-158-2024","title":"Northern Mexican gartersnake demographics and movement ecology","docAbstract":"<p>The northern Mexican gartersnake (<i>Thamnophis eques</i>; hereafter NMGS) is a federally threatened species occurring in riparian areas in central and southeast Arizona and west-central New Mexico. While previous studies have examined the ecology of this species in central Arizona, less is known about NMGS ecology in grassland landscapes of southeast Arizona. This project continues a long-term mark-recapture study of NMGS in the upper Santa Cruz River in the San Rafael Valley of southeast Arizona. We analyzed mark-recapture data collected by Arizona Game and Fish Department from 2008–2019 and included data we collected during 2022 and 2023. We also studied NMGS movement ecology using a combination of externally attached GPS transmitters and surgically implanted VHF transmitters. We had 517 NMGS captures over 26 survey sessions across the entire study, 186 of which were captures of previously marked snakes. Most of our captures were females and evidence of a statistically significant female-biased sex ratio was present on three survey sessions. Trapping success was generally highest June-September and catch-per-unit-effort (CPUE) was strongly correlated with the number of individuals captured. We used mark-recapture data from 288 individuals to estimate annual apparent survival and session-specific recapture probabilities. Annual apparent survival was higher for females (0.72, 95% highest posterior density intervals [HPDI] = 0.630.81) than for males (0.58, 95% HPDI = 0.44–0.72). Session-specific recapture probabilities were similar for males and females and were highly correlated with CPUE. During 2023, we monitored the movements of 13 adult females using GPS transmitters, two adult males using VHF transmitters, and one adult female using a GPS transmitter followed by a VHF transmitter. GPS transmitters were deployed from 7-18 days at a time as limited by battery life. After filtering out low-quality GPS locations, we obtained a total of 1,688 hourly GPS locations. Mean and maximum distances moved per hour ranged from 5.54–10.92 m and 15.24–135.71 m, respectively, across GPS transmitter attachment periods. Space use estimates from 100% minimum convex polygons ranged from 0.04–1.16 ha across GPS transmitter attachment periods. All documented NMGS movements during 2023 were relatively close (&lt; 100 m) to the Santa Cruz River. These results continue to build upon our knowledge of NMGS ecology and suggest the continued presence of a relatively robust population within the upper Santa Cruz River. </p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/10.3996/css35094350","usgsCitation":"Bauder, J.M., Pawlicki, A., and Goode, M., 2024, Northern Mexican gartersnake demographics and movement ecology: Cooperator Science Series CSS-158-2024, 45 p., https://doi.org/10.3996/10.3996/css35094350.","productDescription":"45 p.","ipdsId":"IP-166806","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494693,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/northern-mexican-gartersnake-demographics-and-movement-ecology","linkFileType":{"id":5,"text":"html"}},{"id":494749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"San Rafael Valley, Upper Santa Cruz River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.86644890866877,\n              31.377710308541452\n            ],\n            [\n              -110.86644890866877,\n              31.334558614236315\n            ],\n            [\n              -110.83667605338897,\n              31.334558614236315\n            ],\n            [\n              -110.83667605338897,\n              31.377710308541452\n            ],\n            [\n              -110.86644890866877,\n              31.377710308541452\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bauder, Javan Mathias 0000-0002-2055-5324","orcid":"https://orcid.org/0000-0002-2055-5324","contributorId":337814,"corporation":false,"usgs":true,"family":"Bauder","given":"Javan","email":"","middleInitial":"Mathias","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":947098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pawlicki, Anthony","contributorId":360484,"corporation":false,"usgs":false,"family":"Pawlicki","given":"Anthony","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goode, Matt","contributorId":360487,"corporation":false,"usgs":false,"family":"Goode","given":"Matt","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":947100,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260652,"text":"70260652 - 2024 - Drivers of woody dominance across global drylands","interactions":[],"lastModifiedDate":"2024-11-06T16:38:34.981321","indexId":"70260652","displayToPublicDate":"2024-10-11T10:04:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of woody dominance across global drylands","docAbstract":"<p><span>Increases in the abundance of woody species have been reported to affect the provisioning of ecosystem services in drylands worldwide. However, it is virtually unknown how multiple biotic and abiotic drivers, such as climate, grazing, and fire, interact to determine woody dominance across global drylands. We conducted a standardized field survey in 304 plots across 25 countries to assess how climatic features, soil properties, grazing, and fire affect woody dominance in dryland rangelands. Precipitation, temperature, and grazing were key determinants of tree and shrub dominance. The effects of grazing were determined not solely by grazing pressure but also by the dominant livestock species. Interactions between soil, climate, and grazing and differences in responses to these factors between trees and shrubs were key to understanding changes in woody dominance. Our findings suggest that projected changes in climate and grazing pressure may increase woody dominance in drylands, altering their structure and functioning.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adn6007","usgsCitation":"Biancari, L., Aguiar, M.R., Eldridge, D.J., Oñatibia, G., Bagousse-Pinguet, Y.L., Saiz, H., Gross, N., Austin, A.T., Ochoa, V., Gozalo, B., Asensio, S., Guirado, E., Valencia, E., Berdugo, M., Plaza, C., Martinez-Valderrama, J., Mendoza, B.J., García-Gómez, M., Abedi, M., Ahumada, R.J., Alcantara, J.M., Amghar, F., Anadon, J.D., Aramayo, V., Arredondo, T., Bader, M., Bahalkeh, K., Salem, F.B., Blaum, N., Boldgiv, B., Bowker, M., Branquinho, C., Bu, C., Byambatsogt, B., Calvo, D.A., Monroy, A.P., Castro, H., Castro-Quezada, P., Chibani, R., Conceição, A., Currier, C.M., Donoso, D.A., Dougill, A., Ejtehadi, H., Espinosa, C., Fajardo, A., Farzam, M., Ferrante, D., Fraser, L.H., Gaitan, J.J., Gherardi, L.A., Gusman-Montalvan, E., Hernández-Hernández, R., Holzel, N., Huber-Sannwald, E., Hughes, F., Jadan-Maza, O., Jeltsch, F., Jentsch, A., Ju, M., Kaseke, K.F., Kindermann, L., Kobel, M., le Roux, P.C., Liancourt, P., Linstadter, A., Liu, J., Louw, M.A., Maggs-Kolling, G., Issa, O.M., Marais, E., Margerie, P., Messeder, J.V., Mora, J.P., Moreno, G., Munson, S.M., Oliva, G., Pueyo, Y., Quiroga, R., Reed, S., Rey, P.J., Rodriguez, A., Rodriguez, L.B., Rolo, V., Ruppert, J., Sala, O.E., Salah, A., Stavi, I., Stephens, C., Swemmer, A.M., Teixido, A.L., Thomas, A.D., Throop, H.L., Tielborger, K., Travers, S.K., van den Brink, L., Wagner, V., Wamiti, W., Wang, D., Wang, L., Wolff, P., Yahdjian, L., Zaady, E., and Maestre, F.T., 2024, Drivers of woody dominance across global drylands: Science Advances, v. 10, no. 41, eadn6007, 10 p., https://doi.org/10.1126/sciadv.adn6007.","productDescription":"eadn6007, 10 p.","ipdsId":"IP-164139","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":466855,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adn6007","text":"Publisher Index Page"},{"id":463767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"41","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Biancari, Lucio","contributorId":333153,"corporation":false,"usgs":false,"family":"Biancari","given":"Lucio","email":"","affiliations":[{"id":79756,"text":"Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura (IFEVA), National Scientific and Technical Research Council (CONICET), Faculty of Agronomy, University of Buenos Aires, Buenos Aires C1417DSE, Argentina","active":true,"usgs":false}],"preferred":false,"id":917993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aguiar, Martin R.","contributorId":346099,"corporation":false,"usgs":false,"family":"Aguiar","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":82765,"text":"IFEVA, Facultad de Agronomía, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; 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,{"id":70261240,"text":"70261240 - 2024 - Tracking mangrove condition changes using dense Landsat time series","interactions":[],"lastModifiedDate":"2024-12-03T15:33:49.669899","indexId":"70261240","displayToPublicDate":"2024-10-11T09:25:53","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":"Tracking mangrove condition changes using dense Landsat time series","docAbstract":"<p><span>Mangroves in tropical and subtropical coasts are subject to episodic disturbances, notably from severe storms, leading to potential widespread vegetation mortality. The ability of vegetation to recover varies, and with disturbances becoming more frequent and severe, it is vital to track and project vegetation responses to support management and policy decisions. Prior studies have largely focused on binary mangrove mapping (i.e., presence or absence), while tracking conditions and condition change have not received sufficient attention. In this paper, we demonstrate a method based on dense time series Landsat images for continuous monitoring of mangrove conditions, where we track three kinds of post-disturbance mangrove conditions, including disturbed (disturbed, with rebound to the previous state within one growing season), recovering (undergoing natural recovery in longer than one growing season), and declining (showing long-term decline after disturbance). The method starts with disturbance detection using the DEtection and Characterization Of the tiDal wEtland change (DECODE) algorithm, an existing dense time series model designed to detect disturbances in tidal wetlands with adaptation to tidal fluctuations. This algorithm is well suited for the detection of tidal wetland disturbances but does not provide satisfactory post-disturbance monitoring results, due to the substantial variability in post-disturbance Landsat observations. To better monitor post-disturbance conditions, a new time series fitting approach, DECODER (DECODE and Recovery), is proposed for the recovery stage. Additionally, for temporal segments divided by disturbance events, we built a random forest classifier with temporal-spectral variables derived from the time series model to characterize mangrove conditions. Employing this approach in Florida's mangroves, we generated condition maps, such as dieback and recovery, with an overall accuracy of approximately 97.96&nbsp;±&nbsp;0.86- [95&nbsp;% confidence intervals]. Comparing post-hurricane conditions in Florida revealed that the increased frequency and severity of disturbances are challenging mangrove resilience, potentially diminishing their ability to recover and sustain ecosystem functions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2024.114461","usgsCitation":"Yang, X., Zhu, Z., Kroeger, K.D., Qiu, S., Covington, S., Conrad, J.R., and Zhu, Z., 2024, Tracking mangrove condition changes using dense Landsat time series: Remote Sensing of Environment, v. 315, 114461, 20 p., https://doi.org/10.1016/j.rse.2024.114461.","productDescription":"114461, 20 p.","ipdsId":"IP-171456","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":466856,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2024.114461","text":"Publisher Index Page"},{"id":464698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.7435896795151,\n              29.468105811418027\n            ],\n            [\n              -83.7435896795151,\n              24.675167884786973\n            ],\n            [\n              -79.34983154106673,\n              24.675167884786973\n            ],\n            [\n              -79.34983154106673,\n              29.468105811418027\n            ],\n            [\n              -83.7435896795151,\n              29.468105811418027\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"315","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Xiucheng","contributorId":346867,"corporation":false,"usgs":false,"family":"Yang","given":"Xiucheng","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhe","contributorId":346868,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":920062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qiu, Shi","contributorId":346869,"corporation":false,"usgs":false,"family":"Qiu","given":"Shi","email":"","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":920063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Covington, Scott","contributorId":346870,"corporation":false,"usgs":false,"family":"Covington","given":"Scott","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conrad, Jeremy R.","contributorId":346871,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":920066,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261950,"text":"70261950 - 2024 - Lake temperature and morphometry shape the thermal composition of recreational fishing catch","interactions":[],"lastModifiedDate":"2025-01-06T15:12:52.812213","indexId":"70261950","displayToPublicDate":"2024-10-11T09:06:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Lake temperature and morphometry shape the thermal composition of recreational fishing catch","docAbstract":"<h3 id=\"tafs10481-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Managing freshwater fisheries in warming lakes is challenging because climate change impacts anglers, fish, and their interactions.</p><h3 id=\"tafs10481-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We integrated recent models of current and future lake temperatures with recreational fisheries catch data from 587 lakes in three north-central U.S. states (Michigan, Minnesota, and Wisconsin) to evaluate how the thermal composition of recreational fisheries catch varied as a function of temperature, ice coverage, and lake morphometry.</p><h3 id=\"tafs10481-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>We found that warmwater catch share (WCS), defined as the proportion of fish in recreational angling catch that belonged to the warmwater thermal guild (final temperature preferendum [FTP] &gt; 25°C), increased with average annual lake surface temperature and decreased with survey ice coverage. However, we also found that WCS decreased with increased lake area and depth. Using mid-century (2040–2060) water temperature and ice projections while holding all other variables constant, we predicted that WCS will likely increase as the climate warms but that significant thermal heterogeneity will persist.</p><h3 id=\"tafs10481-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Lakes that are large (&gt;100 ha) and deep (&gt;10 m) and those with cooler (&lt;3700 annual growing degree-days) predicted future temperatures will likely hold thermal refugia for coolwater (FTP = 19–25°C) and coldwater (FTP &lt; 19°C) fish even as average lake temperatures rise, creating the potential for management actions to resist the shift from coolwater to warmwater fisheries. Managers of smaller and more rapidly warming lakes may want to consider strategies that accept or direct emerging warmwater fishing opportunities. We suggest that the most viable path to climate adaptation in landscapes of diverse lakes may be to resist warmwater shifts where possible and to accept or direct the rise of warmwater fishing opportunities where necessary.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10481","usgsCitation":"Wszola, L.S., Sievert, N., Lynch, A.J., Embke, H.S., Kaz, A.L., Robertson, M., Midway, S., and Paukert, C.P., 2024, Lake temperature and morphometry shape the thermal composition of recreational fishing catch: Transactions of the American Fisheries Society, v. 153, no. 6, p. 746-762, https://doi.org/10.1002/tafs.10481.","productDescription":"13 p.","startPage":"746","endPage":"762","ipdsId":"IP-154515","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true},{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500789,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/oceanography_coastal_pubs/1055","text":"External Repository"},{"id":465669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Minnesota, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-88.684434,48.115785],[-88.447236,48.182916],[-89.022736,47.858532],[-89.255202,47.876102],[-88.684434,48.115785]]],[[[-83.880387,41.720089],[-86.824828,41.76024],[-86.24971,42.480212],[-86.226305,42.988284],[-86.540916,43.633158],[-86.25395,44.64808],[-86.066745,44.905685],[-85.780439,44.977932],[-85.540497,45.210169],[-85.641652,44.810816],[-85.520205,44.960347],[-85.477423,44.813781],[-85.355478,45.282774],[-84.91585,45.393115],[-85.110884,45.526285],[-84.94565,45.708621],[-85.011433,45.757962],[-84.204218,45.627116],[-84.095905,45.497298],[-83.488826,45.355872],[-83.316118,45.141958],[-83.435822,45.000012],[-83.277213,44.7167],[-83.335248,44.357995],[-83.890145,43.934672],[-83.909479,43.672622],[-83.618602,43.628891],[-83.227093,43.981003],[-82.915976,44.070503],[-82.617955,43.768596],[-82.423086,42.988728],[-82.509935,42.637294],[-82.648776,42.550401],[-82.630922,42.64211],[-82.780817,42.652232],[-83.431103,41.757457],[-83.880387,41.720089]]],[[[-90.418136,46.566094],[-88.982483,46.99883],[-88.400224,47.379551],[-87.816958,47.471998],[-87.730804,47.449112],[-88.349952,47.076377],[-88.462349,46.786711],[-88.167373,46.9588],[-87.915943,46.909508],[-87.619747,46.79821],[-87.366767,46.507303],[-86.850111,46.434114],[-86.188024,46.654008],[-84.964652,46.772845],[-84.969464,46.47629],[-84.177428,46.52692],[-84.097766,46.256512],[-84.247687,46.17989],[-83.931175,46.017871],[-83.63498,46.103953],[-83.49484,45.999541],[-84.345451,45.946569],[-84.656567,46.052654],[-84.820557,45.868293],[-85.047028,46.020603],[-85.528403,46.087121],[-85.663966,45.967013],[-86.278007,45.942057],[-86.687208,45.634253],[-86.532989,45.882665],[-86.92106,45.697868],[-87.018902,45.838886],[-88.027103,44.578992],[-87.943801,44.529693],[-87.428144,44.890738],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192],[-90.614589,42.508053],[-91.078097,42.806526],[-91.177728,43.118733],[-91.062562,43.243165],[-91.217706,43.50055],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.418136,46.566094]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Michigan\",\"nation\":\"USA  \"}}]}","volume":"153","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wszola, Lyndsie S.","contributorId":205135,"corporation":false,"usgs":false,"family":"Wszola","given":"Lyndsie","email":"","middleInitial":"S.","affiliations":[{"id":37031,"text":"Nebraska Cooperative Fish & Wildlife Research Unit, University of Nebraska-Lincoln, Lincoln, Nebraska","active":true,"usgs":false}],"preferred":false,"id":922381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sievert, Nicholas A. 0000-0003-3160-7596","orcid":"https://orcid.org/0000-0003-3160-7596","contributorId":177341,"corporation":false,"usgs":false,"family":"Sievert","given":"Nicholas A.","affiliations":[],"preferred":false,"id":922382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":922383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":270754,"corporation":false,"usgs":true,"family":"Embke","given":"Holly","email":"","middleInitial":"Susan","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":922384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaz, Anna L.","contributorId":339462,"corporation":false,"usgs":false,"family":"Kaz","given":"Anna","email":"","middleInitial":"L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":922385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robertson, Matthew D.","contributorId":347760,"corporation":false,"usgs":false,"family":"Robertson","given":"Matthew D.","affiliations":[{"id":26965,"text":"Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":922386,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Midway, Stephen R.","contributorId":244467,"corporation":false,"usgs":false,"family":"Midway","given":"Stephen R.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":922387,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922388,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70259699,"text":"70259699 - 2024 - Reducing wastewater nitrogen loading by >90% with carbon-amended septic systems: A field demonstration in Barnstable (Cape Cod), Massachusetts","interactions":[],"lastModifiedDate":"2024-10-19T13:50:54.703043","indexId":"70259699","displayToPublicDate":"2024-10-11T08:46:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Reducing wastewater nitrogen loading by >90% with carbon-amended septic systems: A field demonstration in Barnstable (Cape Cod), Massachusetts","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><div id=\"abspara0010\" class=\"u-margin-s-bottom\">Onsite wastewater treatment systems (OWTS) are a major source of excess nutrients and co-pollutants in watersheds across the United States. In Barnstable County (Cape Cod), Massachusetts, effluent from septic systems and cesspools contributes approximately 80% of the controllable reactive nitrogen (N) load to numerous impaired estuaries and degrades water quality in the region's sole source aquifer, streams and ponds. In unsewered areas, wastewater N loads could be reduced substantially by Innovative/Alternative (I/A) septic systems designed for enhanced removal. Use, however, has been partly limited by the availability of high performing, cost effective options, while conventional septic systems continue to be installed in watersheds with well documented N impairments. This paper describes the strategic replacement of residential OWTS with two I/A models that incorporate woodchip bioreactors to enhance N removal. Systems were installed at 14 neighboring homes in Barnstable, MA, and monitored for field performance. Influent and effluent were sampled monthly and analyzed for N and phosphorus (P), among other water quality indicators. Flow to each system was continuously metered to estimate nutrient loads. Results from the first 25 months of monitoring for 13 systems with at least a full year of data are presented in terms of 1) reductions in nutrient concentrations and mass loads and 2) reliability of the systems for meeting a performance goal of total N (TN)&nbsp;&lt;&nbsp;10&nbsp;mg/L. Discussion supports consideration of where and how these technologies may be successfully used to manage excess N in sensitive watersheds.</div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2024.122737","usgsCitation":"Erban, L., Wigginton, S., Baumgaertel, B., Horsley, B., McCobb, T., Crocker, Z., Horsley, S., and Gleason, T., 2024, Reducing wastewater nitrogen loading by >90% with carbon-amended septic systems: A field demonstration in Barnstable (Cape Cod), Massachusetts: Journal of Environmental Management, v. 370, 122737, 14 p., https://doi.org/10.1016/j.jenvman.2024.122737.","productDescription":"122737, 14 p.","ipdsId":"IP-165390","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":466857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2024.122737","text":"Publisher Index Page"},{"id":463047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Barnstable","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.33153601848146,\n              41.721087435905105\n            ],\n            [\n              -70.33153601848146,\n              41.63457812460754\n            ],\n            [\n              -70.23186429738097,\n              41.63457812460754\n            ],\n            [\n              -70.23186429738097,\n              41.721087435905105\n            ],\n            [\n              -70.33153601848146,\n              41.721087435905105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"370","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Erban, Laura","contributorId":345343,"corporation":false,"usgs":false,"family":"Erban","given":"Laura","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":916365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wigginton, Sara","contributorId":345344,"corporation":false,"usgs":false,"family":"Wigginton","given":"Sara","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumgaertel, Brian","contributorId":345345,"corporation":false,"usgs":false,"family":"Baumgaertel","given":"Brian","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horsley, Bryan","contributorId":345346,"corporation":false,"usgs":false,"family":"Horsley","given":"Bryan","email":"","affiliations":[{"id":65402,"text":"Massachusetts Alternative Septic System Test Center","active":true,"usgs":false}],"preferred":false,"id":916368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCobb, Timothy D. 0000-0003-1533-847X","orcid":"https://orcid.org/0000-0003-1533-847X","contributorId":203069,"corporation":false,"usgs":true,"family":"McCobb","given":"Timothy D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crocker, Zee","contributorId":345347,"corporation":false,"usgs":false,"family":"Crocker","given":"Zee","email":"","affiliations":[{"id":82551,"text":"Barnstable Clean Water Coalition","active":true,"usgs":false}],"preferred":false,"id":916370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Horsley, Scott","contributorId":345350,"corporation":false,"usgs":false,"family":"Horsley","given":"Scott","email":"","affiliations":[{"id":82552,"text":"Horsley Consulting","active":true,"usgs":false}],"preferred":false,"id":916371,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gleason, Timothy","contributorId":345352,"corporation":false,"usgs":false,"family":"Gleason","given":"Timothy","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":916372,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261411,"text":"70261411 - 2024 - Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose","interactions":[],"lastModifiedDate":"2024-12-09T15:40:30.029495","indexId":"70261411","displayToPublicDate":"2024-10-11T08:32:09","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":"Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose","docAbstract":"<p>Nest-site fidelity is a common strategy in birds and is believed to be adaptive due to familiarity with local conditions. Returning to previously successful nest sites (i.e., the win-stay lose-switch strategy) may be beneficial when habitat quality is spatially variable and temporally predictable; however, changes in environmental conditions may constrain dispersal decisions despite previous reproductive success. We used long-term (2000–2017) capture-mark-reencounter data and hierarchical models to examine fine-scale nest-site fidelity of emperor geese (<i>Anser canagicus</i>) on the Yukon-Kuskokwim Delta in Alaska. Our objectives were to quantify nest-site dispersal distances, determine whether dispersal distance is affected by previous nest fate, spring timing, or major flooding events on the study area, and determine if nest-site fidelity is adaptive in that it leads to higher nest survival. Consistent with the win-stay lose-switch strategy, expected dispersal distance for individuals that failed their nesting attempt in the previous year (207.9 m,14 95% HPDI:150.9–271.4) was greater than expected dispersal distance for individuals who nested successfully in the previous year (125.8 m, 95% HPDI:107.1–145.9). Expected dispersal distance was slightly greater following years of major flooding events for individuals that nested successfully, although this pattern was not observed for individuals who failed their nesting attempt. We did not find evidence that expected dispersal distance was influenced by spring timing. Importantly, dispersal distance was positively related to daily survival probability of emperor goose nests for individuals who failed their previous nesting attempt, suggesting an adaptive benefit to the win-stay lose-switch strategy. Our results highlight the importance of previous experience and environmental variation for informing dispersal decisions of a long-lived goose species. However, it is unclear if dispersal decisions based on previous experience will continue to be adaptive as variability in environmental conditions increases in northern breeding areas.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70313","usgsCitation":"Thompson, J.M., Uher-Koch, B.D., Daniels, B.L., Riecke, T., Schmutz, J.A., and Sedinger, B.S., 2024, Previous reproductive success and environmental variation influence nest-site fidelity of a subarctic-nesting goose: Ecology and Evolution, v. 14, no. 10, e70313, 10 p., https://doi.org/10.1002/ece3.70313.","productDescription":"e70313, 10 p.","ipdsId":"IP-164482","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466858,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70313","text":"Publisher Index Page"},{"id":464921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Yukon-Kuskokwim Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -168.9696931685749,\n              61.4150203271945\n            ],\n            [\n              -168.9696931685749,\n              59.36637273016359\n            ],\n            [\n              -161.49030953760507,\n              59.36637273016359\n            ],\n            [\n              -161.49030953760507,\n              61.4150203271945\n            ],\n            [\n              -168.9696931685749,\n              61.4150203271945\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Jordan M.","contributorId":303133,"corporation":false,"usgs":false,"family":"Thompson","given":"Jordan","email":"","middleInitial":"M.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":920511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":920512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Bryan L.","contributorId":304964,"corporation":false,"usgs":false,"family":"Daniels","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":66195,"text":"Yukon Delta National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":920513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riecke, Thomas V.","contributorId":171482,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas V.","affiliations":[],"preferred":false,"id":920514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmutz, Joel A.","contributorId":304965,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","email":"","middleInitial":"A.","affiliations":[{"id":66196,"text":"Alaska Science Center WTEB (retired)","active":true,"usgs":false}],"preferred":false,"id":920515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sedinger, Benjamin S.","contributorId":304966,"corporation":false,"usgs":false,"family":"Sedinger","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":920516,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263656,"text":"70263656 - 2024 - When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?","interactions":[],"lastModifiedDate":"2025-02-19T15:07:03.844806","indexId":"70263656","displayToPublicDate":"2024-10-11T08:00:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13436,"text":"Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?","docAbstract":"Coastal wetlands are hotspots of carbon sequestration, and their conservation and restoration can help to mitigate climate change. However, there remains uncertainty on when and where coastal wetland restoration can most effectively act as a Natural Climate Solution (NCS). Here, we synthesize current understanding to illustrate the requirements for coastal wetland restoration to benefit climate, and discuss potential paths forward that address key uncertainties impeding implementation. To be effective as NCS, coastal wetland restoration projects will accrue climate cooling benefits that would not occur without management action (additionality), will be implementable (feasibility), and will persist over management-relevant timeframes (permanence). Several issues add uncertainty to understanding if these minimum requirements are met. First, coastal wetlands serve as both a landscape source and sink of carbon for other habitats, increasing uncertainty in additionality. Second, coastal wetlands can potentially migrate outside of project footprints as they respond to sea-level rise, increasing uncertainty in permanence. To address these first two issues, a system-wide approach may be necessary, rather than basing cooling benefits only on changes that occur within project boundaries. Third, the need for NCS to function over management-relevant decadal timescales means methane responses may be necessary to include in coastal wetland restoration planning and monitoring. Finally, there is uncertainty on how much data is required to justify restoration action. We summarize the minimum data required to make a decision on whether there is a net cooling benefit from a management action, noting that these data are more readily available than the data required to quantify the magnitude of cooling benefits for carbon crediting purposes. By reducing uncertainty, coastal wetland restoration can be implemented at the scale required to significantly contribute to addressing the current climate crisis.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2024.14","usgsCitation":"Jones, S., Arias-Ortiz, A., Baldocchi, D., Eagle, M.J., Friess, D., Gore, C., Noe, G.E., Nolte, S., Oikawa, P., Paytan, A., Raw, J.L., Roberts, B.J., Rogers, K., Schutte, C.A., Stagg, C., Thorne, K., Ward, E.J., Windham-Myers, L., and Yando, E., 2024, When and where can coastal wetland restoration increase carbon sequestration as a natural climate solution?: Coastal Futures, v. 2, e13, 16 p., https://doi.org/10.1017/cft.2024.14.","productDescription":"e13, 16 p.","ipdsId":"IP-165449","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":487655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2024.14","text":"Publisher Index Page"},{"id":482209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Scott F. 0000-0002-1056-3785","orcid":"https://orcid.org/0000-0002-1056-3785","contributorId":204137,"corporation":false,"usgs":false,"family":"Jones","given":"Scott F.","affiliations":[{"id":36864,"text":"University of Louisiana Lafayette","active":true,"usgs":false}],"preferred":false,"id":927689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arias-Ortiz, Ariane 0000-0001-9408-0061","orcid":"https://orcid.org/0000-0001-9408-0061","contributorId":332969,"corporation":false,"usgs":false,"family":"Arias-Ortiz","given":"Ariane","email":"","affiliations":[],"preferred":false,"id":927690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldocchi, Dennis 0000-0003-3496-4919","orcid":"https://orcid.org/0000-0003-3496-4919","contributorId":167495,"corporation":false,"usgs":false,"family":"Baldocchi","given":"Dennis","affiliations":[{"id":24725,"text":"Ecosystem Science Division, Department of Environmental Science","active":true,"usgs":false}],"preferred":false,"id":927691,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927692,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":927693,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gore, Catrina","contributorId":351007,"corporation":false,"usgs":false,"family":"Gore","given":"Catrina","affiliations":[{"id":16617,"text":"University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":927694,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":927695,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nolte, Stefanie","contributorId":351008,"corporation":false,"usgs":false,"family":"Nolte","given":"Stefanie","affiliations":[{"id":83894,"text":"Centre for Environment","active":true,"usgs":false}],"preferred":false,"id":927696,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oikawa, Patty","contributorId":329964,"corporation":false,"usgs":false,"family":"Oikawa","given":"Patty","affiliations":[{"id":64648,"text":"California State University, East Bay","active":true,"usgs":false}],"preferred":false,"id":927697,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Paytan, Adina","contributorId":299200,"corporation":false,"usgs":false,"family":"Paytan","given":"Adina","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":927698,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Raw, Jacqueline L.","contributorId":317837,"corporation":false,"usgs":false,"family":"Raw","given":"Jacqueline","email":"","middleInitial":"L.","affiliations":[{"id":69167,"text":"Department of Botany and Institute for Coastal and Marine Research, Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":927699,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roberts, Brian J.","contributorId":341597,"corporation":false,"usgs":false,"family":"Roberts","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":927700,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rogers, Kerrylee","contributorId":64151,"corporation":false,"usgs":false,"family":"Rogers","given":"Kerrylee","email":"","affiliations":[{"id":16754,"text":"University of Wollongong, Australia","active":true,"usgs":false}],"preferred":false,"id":927701,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schutte, Charles A","contributorId":303410,"corporation":false,"usgs":false,"family":"Schutte","given":"Charles","email":"","middleInitial":"A","affiliations":[{"id":65797,"text":"Louisiana Universities Marine Consortium, Chauvin, LA; Rowan University (present)","active":true,"usgs":false}],"preferred":false,"id":927702,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":220330,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":927703,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"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":927704,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ward, Eric J.","contributorId":337357,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":61805,"text":"Northwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":927705,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":927706,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Yando, Eric S.","contributorId":351011,"corporation":false,"usgs":false,"family":"Yando","given":"Eric S.","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":927707,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70259587,"text":"70259587 - 2024 - Predictive understanding of stream salinization in a developed watershed using machine learning","interactions":[],"lastModifiedDate":"2024-10-23T16:27:38.970197","indexId":"70259587","displayToPublicDate":"2024-10-11T07:01:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Predictive understanding of stream salinization in a developed watershed using machine learning","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locations at the time scales required for ecological exposure assessments. Machine learning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed. We compare the predictive performance of space- and time-unaware Random Forest models and space- and time-aware Recurrent Graph Convolution Neural Network models (KGE: 0.67 and 0.64, respectively) and use explainable artificial intelligence methods to interpret model predictions and understand salinization drivers. These models are applied to the Delaware River Basin, a developed watershed with diverse land uses that experiences anthropogenic salinization from winter deicer applications. These models capture seasonality for the winter first flush of deicers, and the streams with elevated predictions correspond well with indicators of deicer application. This result suggests that these models can be used to identify potential salinity-impaired streams for winter best management practices. Daily salinity predictions are driven primarily by land cover (urbanization) trends that may represent anthropogenic salinization processes and weather at time scales up to three months. Such modeling approaches are likely transferable to other watersheds and can be applied to further understand salinization risks and drivers.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c05004","usgsCitation":"Smith, J.D., Koenig, L.E., Sleckman, M.J., Appling, A.P., Sadler, J., DePaul, V.T., and Szabo, Z., 2024, Predictive understanding of stream salinization in a developed watershed using machine learning: Environmental Science and Technology, v. 58, no. 42, https://doi.org/10.1021/acs.est.4c05004.","productDescription":"12 p.","startPage":"18833","ipdsId":"IP-165549","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":489850,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c05004","text":"Publisher Index Page"},{"id":462904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"42","edition":"18822","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Jared David 0000-0003-3124-8255","orcid":"https://orcid.org/0000-0003-3124-8255","contributorId":329716,"corporation":false,"usgs":true,"family":"Smith","given":"Jared","email":"","middleInitial":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koenig, Lauren Elizabeth 0000-0002-7790-330X","orcid":"https://orcid.org/0000-0002-7790-330X","contributorId":295259,"corporation":false,"usgs":true,"family":"Koenig","given":"Lauren","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":915823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":915824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":915825,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sadler, Jeffrey M 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":302989,"corporation":false,"usgs":false,"family":"Sadler","given":"Jeffrey M","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":915826,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":915827,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Szabo, Zoltan 0000-0002-0760-9607","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":203408,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":915828,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259776,"text":"70259776 - 2024 - Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space","interactions":[],"lastModifiedDate":"2024-10-24T11:38:30.61824","indexId":"70259776","displayToPublicDate":"2024-10-11T06:36:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space","docAbstract":"<div class=\"article-section__content en main\"><p>Accommodation space governs the spatial and temporal distributions of sediments in continental margins. Mapping the sedimentation patterns, therefore, offers insights into the solid-Earth processes that shape accommodation space. We assembled an unprecedented amount of seismic and borehole data along the Eastern North American Margin and used it to divide the margin's sedimentary package into eight chronostratigraphic intervals, identifying temporal shifts in depocenters under the continental shelf, slope, and rise. The Jurassic depocenters follow the syn-rift structure and its thermal subsidence loci. The Long Island Platform is the only margin segment where the early post-rift sediment thickness matches subsidence predictions from uniform-stretching models, whereas in Georges Bank Basin (GBB) and Baltimore Canyon Trough (BCT), sediment thickness is 1.5–3 times higher than predicted, pointing to other factors at play. A margin-wide Jurassic transient shoulder uplift is inferred from the occurrence of stratigraphic onlaps above thinned crust. Unlike the Jurassic, the Cretaceous and Cenozoic depocenters disregard the inherited subsidence pattern. The accommodation space over the shelf and coastal plain during the Cretaceous was affected by regional isostatic compensation of the sedimentary loads accumulated on the shelf and rise. Accommodation space development in the GBB was interrupted during the Cretaceous after the margin crossed the Great Meteor Hotspot track, resulting in a widespread permanent uplift, erosion, and sediment redistribution. The distribution of anomalous Neogene subsidence in the BCT challenges previous suggestions of mantle dynamic control on the accommodation space and favors flexural downwarping of the shelf by sediment accumulation on the rise.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028713","usgsCitation":"Lang, G., ten Brink, U.S., Hutchinson, D., Mountain, G.S., and Schattner, U., 2024, Controls on the stratigraphic architecture of the US Atlantic margin: Processes forming the accommodation space: Journal of Geophysical Research: Solid Earth, v. 129, no. 10, e2024JB028713, 41 p., https://doi.org/10.1029/2024JB028713.","productDescription":"e2024JB028713, 41 p.","ipdsId":"IP-158085","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb028713","text":"Publisher Index Page"},{"id":463139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Lang, Guy","contributorId":304702,"corporation":false,"usgs":false,"family":"Lang","given":"Guy","email":"","affiliations":[{"id":66147,"text":"Dept. of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":916647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchinson, Deborah 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":174836,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mountain, Gregory S.","contributorId":345447,"corporation":false,"usgs":false,"family":"Mountain","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":916650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schattner, Uri","contributorId":345448,"corporation":false,"usgs":false,"family":"Schattner","given":"Uri","email":"","affiliations":[{"id":38278,"text":"University of Haifa","active":true,"usgs":false}],"preferred":false,"id":916651,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}