{"pageNumber":"87","pageRowStart":"2150","pageSize":"25","recordCount":184634,"records":[{"id":70264306,"text":"70264306 - 2025 - 6PPD-quinone in water from the San Francisco-San Joaquin Delta, California, 2018-2024","interactions":[],"lastModifiedDate":"2025-03-11T14:21:30.245946","indexId":"70264306","displayToPublicDate":"2025-03-10T09:15:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"6PPD-quinone in water from the San Francisco-San Joaquin Delta, California, 2018-2024","docAbstract":"<p><span>The Sacramento-San Joaquin Delta (Delta) is an expansive river delta supplying a large portion of California’s fresh water for agriculture and residential use, and it is also an area of critical habitat for numerous state and federally listed species of concern. In many locations, urban stormwater flows directly into the Delta. 6PPD-quinone (6PPD-Q), an ozonation byproduct of a tire antiozonant 6PPD, has been shown to enter surface water via these pathways and can cause various toxicological effects, including acute urban mortality syndrome to coho salmon (</span><i>Oncorhynchus kisutch</i><span>) at low levels (LC</span><sub>50</sub><span> = 41 and 95&nbsp;ng/L for juveniles and adults, respectively). Here, we quantified 6PPD-Q in 61 archived Delta water extracts collected between 2018 and 2024 and found concentrations up to 21&nbsp;ng/L. Currently, no 6PPD-Q presence and/or quantitative data is available for this complex and diverse ecosystem. Little is known regarding long-term storage of 6PPD-quinone in solvent extracts, so 6PPD-Q observations document its presence in the study area and provide evidence that further sampling may be warranted to better quantify environmental concentrations. Consistent with the general understanding of 6PPD-Q transport, all detections observed were in samples collected during or immediately after a precipitation event. This work provides environmentally relevant concentration data to complement ongoing toxicological investigations of 6PPD-Q in Delta organisms and suggests there are research opportunities for a more robust survey of 6PPD-Q inputs into the Delta.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-025-13757-5","usgsCitation":"Black, G.P., De Parsia, M., Uychutin, M., Lane, R.F., Orlando, J., and Hladik, M.L., 2025, 6PPD-quinone in water from the San Francisco-San Joaquin Delta, California, 2018-2024: Environmental Monitoring and Assessment, v. 197, no. 4, 369, 9 p., https://doi.org/10.1007/s10661-025-13757-5.","productDescription":"369, 9 p.","ipdsId":"IP-169662","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":483195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco‑San Joaquin delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.4615589600206,\n              38.89855420973035\n            ],\n            [\n              -122.4156538354604,\n              37.57763045605546\n            ],\n            [\n              -120.7611068337572,\n              37.57763045605546\n            ],\n            [\n              -120.7611068337572,\n              38.92128311603909\n            ],\n            [\n              -122.4615589600206,\n              38.89855420973035\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"197","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Black, Gabrielle Pecora 0000-0002-1578-742X","orcid":"https://orcid.org/0000-0002-1578-742X","contributorId":303108,"corporation":false,"usgs":true,"family":"Black","given":"Gabrielle","email":"","middleInitial":"Pecora","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Parsia, Matthew D. 0000-0001-5806-5403","orcid":"https://orcid.org/0000-0001-5806-5403","contributorId":204707,"corporation":false,"usgs":true,"family":"De Parsia","given":"Matthew D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uychutin, Matthew 0000-0003-2677-7902","orcid":"https://orcid.org/0000-0003-2677-7902","contributorId":339824,"corporation":false,"usgs":true,"family":"Uychutin","given":"Matthew","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orlando, James 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":208413,"corporation":false,"usgs":true,"family":"Orlando","given":"James","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930377,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264193,"text":"sir20255004 - 2025 - Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","interactions":[],"lastModifiedDate":"2025-07-23T16:37:17.642571","indexId":"sir20255004","displayToPublicDate":"2025-03-10T08:26:00","publicationYear":"2025","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":"2025-5004","displayTitle":"Assessment of Effects of Channelization Mitigation Alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","title":"Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Fond du Lac Band of Lake Superior Chippewa (FDLB), studied the effects of channel modification alternatives on lake levels and floodplain inundation in the Stoney Brook watershed in northeast Minnesota. Northern wild rice (<i>Zizania palustris</i>), also referred to as manoomin by the Ojibwe/Chippewa people, is a natural and cultural resource to the FDLB and is sensitive to water levels and rates of water-level changes, particularly during the early stages of growth. Drainage ditches constructed in the early 1900s in the Stoney Brook watershed lowered lake-water levels, caused greater fluctuations in the lakes, and created a loss in wetland coverage. The FDLB is committed to minimizing large fluctuations of the lakes with natural wild rice production in the Stoney Brook watershed and restoring a more natural hydrology to Stoney Brook. The hydrologic response of these lakes and floodplain storage to simulated channel modification alternatives were examined.</p><p>Hydrologic and hydraulic models were developed for the watershed and calibrated to historical rainfall events. The models used probabilistic frequency rainfall events of 24-hour duration for 1-, 2-, 5-, and 10-year annual recurrence intervals (100-, 50-, 20-, and 10-percent annual exceedance probability) to simulate watershed management scenarios with existing and alternative conditions. The hydraulic model outputs for peak flows, volume accumulation, water levels, and inundation duration and depths were assessed to quantify the effects of the channel modification alternatives. The channel modification alternatives were simulated with four different terrain conditions: existing conditions, bank spoil breach, original channel reconnection, and original channel reconnection with bank spoil breach. Hydrologic characteristics from six distinct areas were used in the model to evaluate the effects from the channel modification alternatives.</p><p>The simulated results of two lakes in which wild rice was planted demonstrated that the lakes would take longer to draw down following an event with the channel modification alternatives compared to existing conditions with little change to peak water-surface elevations. The alternatives provided minor to no increases in flows or conveyances at the downstream reference location at Pine Drive bridge. The restored floodplain locations had increased flows and conveyances for the channel modification alternatives that could be considered substantial when compared to flows with existing conditions. The inundation extent, duration, and water-depth distribution were assessed within selected floodplain areas. Generally, the channel modification alternatives produced increases in the higher depth (3–4 and greater than 4 feet) and duration (10–14 and greater than 14 days) categories for these areas, which may be beneficial to increases in wetland coverage and floodplain storage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255004","collaboration":"Prepared in cooperation with the Fond du Lac Band of Lake Superior Chippewa","usgsCitation":"Cigrand, C.V., 2025, Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota: U.S. Geological Survey Scientific Investigations Report 2025–5004, 44 p., https://doi.org/10.3133/sir20255004.","productDescription":"Report: ix, 44 p.; Data Release; Dataset","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-132433","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":483061,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":483062,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KFQSL","text":"USGS data release","linkHelpText":"Archive of hydraulic and hydrologic models used in the Stoney Brook watershed in Carlton and St. Louis Counties, Minnesota, 2008–2024"},{"id":483057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5004/coverthb.jpg"},{"id":483058,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5004/sir20255004.pdf","text":"Report","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025–5004"},{"id":483059,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5004/sir20255004.XML"},{"id":483060,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5004/images/"},{"id":483063,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255004/full"},{"id":492770,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118476.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","county":"Carlton County, St. Louis County","otherGeospatial":"Stoney Brook watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4667,\n              46.8667\n            ],\n            [\n              -92.8,\n              46.8667\n            ],\n            [\n              -92.8,\n              46.633\n            ],\n            [\n              -92.4667,\n              46.633\n            ],\n            [\n              -92.4667,\n              46.8667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>400 South Clinton Street, Suite 269<br>Iowa City, IA 52240</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrologic Model</li><li>Hydraulic Model</li><li>Channel Modification Used for Alternatives</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-10","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264424,"text":"70264424 - 2025 - Informing adaptive management to reduce ungulate aggregations: A case study involving winter feeding of elk","interactions":[],"lastModifiedDate":"2025-03-14T15:29:49.902182","indexId":"70264424","displayToPublicDate":"2025-03-10T08:21:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Informing adaptive management to reduce ungulate aggregations: A case study involving winter feeding of elk","docAbstract":"<p><span>In the United States, wildlife managers are entrusted with preserving culturally and economically important ungulate populations in the face of the ongoing spread of chronic wasting disease (CWD). The U.S. Fish and Wildlife Service established an adaptive management plan to reduce the reliance of elk (</span><i>Cervus canadensis</i><span>) on supplemental winter feeding on the National Elk Refuge. The end goal of reducing the unnaturally high aggregation of elk during the winter is to mitigate the threat of disease outbreaks and to meet the objectives of sustainable populations of elk on the refuge. In this case study, we evaluated 6 years (2017–2022) of data from GPS-collared elk to determine the efficacy of shortening the length of the annual feeding period on the refuge to reduce elk aggregation. We measured aggregation using proximity rates, based on pairwise interactions over time, in both raw form as an index as well as predicted proximity as a function of other abiotic influences. We created a new R package,&nbsp;</span><i>wildagg</i><span>, to help with the process of computing the metrics from our study and to increase reproducibility in the future. Aggregation declined in years with less feeding on the refuge according to raw aggregation metrics when examined in isolation and dependent on the baseline feeding year used for comparison. However, accounting for abiotic factors while modeling proximity rates suggested in some years the decision to shorten the feeding period had less influence on aggregation than predicted. Our results underscore the complexity of measuring management outcomes and the usefulness of multiple approaches to evaluation.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1574","usgsCitation":"Janousek, W.M., Cole, E., Dewey, S.R., and Graves, T., 2025, Informing adaptive management to reduce ungulate aggregations: A case study involving winter feeding of elk: Wildlife Society Bulletin, v. 49, no. 1, e1574, 12 p., https://doi.org/10.1002/wsb.1574.","productDescription":"e1574, 12 p.","ipdsId":"IP-153310","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1574","text":"Publisher Index Page"},{"id":483356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"National Elk Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.7137912687953,\n              43.57693522181455\n            ],\n            [\n              -110.7137912687953,\n              43.5282857345309\n            ],\n            [\n              -110.63727861874892,\n              43.5282857345309\n            ],\n            [\n              -110.63727861874892,\n              43.57693522181455\n            ],\n            [\n              -110.7137912687953,\n              43.57693522181455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Janousek, William Michael 0000-0003-3978-1775","orcid":"https://orcid.org/0000-0003-3978-1775","contributorId":237980,"corporation":false,"usgs":true,"family":"Janousek","given":"William","email":"","middleInitial":"Michael","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":930720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cole, Eric K. 0000-0002-2229-5853","orcid":"https://orcid.org/0000-0002-2229-5853","contributorId":145755,"corporation":false,"usgs":false,"family":"Cole","given":"Eric K.","affiliations":[{"id":16228,"text":"U.S. Fish and Wildlife Service, National Elk Refuge, PO Box 510, Jackson, WY 83001 USA","active":true,"usgs":false}],"preferred":false,"id":930721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dewey, Sarah R.","contributorId":264423,"corporation":false,"usgs":false,"family":"Dewey","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":930722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":930723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265878,"text":"70265878 - 2025 - Population trends of native and non-native forest birds on the island of Molokai, Hawaii","interactions":[],"lastModifiedDate":"2025-04-17T15:11:55.20767","indexId":"70265878","displayToPublicDate":"2025-03-10T08:06:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Population trends of native and non-native forest birds on the island of Molokai, Hawaii","docAbstract":"<p><span>Hawaiʻi’s avifauna has undergone profound changes over the past 1,000 years, with many endemic bird species driven to extinction and non-native introductions reshaping forest ecosystems. On the island of Molokaʻi, habitat degradation and the introduction of mosquito-borne disease, mainly avian malaria (</span><i>Plasmodium relictum</i><span>), have caused extinctions and severe declines in native forest bird populations. To assess these changes, point-transect distance sampling surveys were initiated in 1979 and 1980 and repeated six times, most recently in 2021, covering a 3,527&nbsp;ha area. This study analyzes species composition, population densities, abundances, and long-term trends for species with sufficient detections using log-linear regression. Since 1979–1980, a total of 17 non-native and 3 native species were detected across all six surveys. The non-native Warbling White-eye (</span><i>Zosterops japonicus</i><span>) had the highest density and abundance in every survey, while abundance of Red-billed Leiothrix (</span><i>Leiothrix lutea</i><span>) significantly trended upward. The Japanese Bush Warbler (</span><i>Horornis diphone</i><span>) irrupted in the survey area, increasing in abundance by more than 99% since 1979–1980. Among native species, ʻApapane (</span><i>Himatione sanguinea</i><span>) populations increased by 33%, while Hawaiʻi ʻAmakihi (</span><i>Chlorodrepanis virens</i><span>) declined by 78% from their peak in 1995. Federally threatened ʻIʻiwi (</span><i>Drepanis coccinea</i><span>), highly susceptible to avian malaria, have not been recorded on Molokaʻi since 2010, and the endemic Olomaʻo (</span><i>Myadestes lanaiensis</i><span>) has not been detected since 1980 and is possibly extinct. Our results underscore the ongoing conservation crisis for Molokaʻi’s forest birds and the continued vulnerability of native birds to disease and habitat loss.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15594491.2024.2444022","usgsCitation":"Smith, L., Judge, S., Genz, A., Berry, L., Berthold, L.K., Mounce, H., and Camp, R.J., 2025, Population trends of native and non-native forest birds on the island of Molokai, Hawaii: The Wilson Journal of Ornithology, v. 137, no. 1, p. 51-64, https://doi.org/10.1080/15594491.2024.2444022.","productDescription":"14 p.","startPage":"51","endPage":"64","ipdsId":"IP-153478","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":488281,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15594491.2024.2444022","text":"Publisher Index Page"},{"id":484680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Molokai","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.28873231120195,\n              21.241518704959404\n            ],\n            [\n              -157.3259292153299,\n              21.127451352654802\n            ],\n            [\n              -157.28873231120195,\n              21.03800311764543\n            ],\n            [\n              -156.71002845991853,\n              21.03800311764543\n            ],\n            [\n              -156.71002845991853,\n              21.241518704959404\n            ],\n            [\n              -157.28873231120195,\n              21.241518704959404\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"137","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Lauren K. 0000-0003-1783-715X","orcid":"https://orcid.org/0000-0003-1783-715X","contributorId":353538,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":933792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":933793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Genz, Ayesha 0000-0002-2916-1436","orcid":"https://orcid.org/0000-0002-2916-1436","contributorId":196671,"corporation":false,"usgs":false,"family":"Genz","given":"Ayesha","email":"","affiliations":[],"preferred":false,"id":933794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lainie","contributorId":272646,"corporation":false,"usgs":false,"family":"Berry","given":"Lainie","email":"","affiliations":[{"id":56397,"text":"State of Hawai‘i, Division of Forestry and Wildlife","active":true,"usgs":false}],"preferred":false,"id":933795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berthold, Laura K","contributorId":264666,"corporation":false,"usgs":false,"family":"Berthold","given":"Laura","email":"","middleInitial":"K","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":933796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mounce, Hanna L.","contributorId":253154,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna L.","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":933797,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":933798,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269684,"text":"70269684 - 2025 - Characterizing the scale of regional landslide triggering from storm hydrometeorology","interactions":[],"lastModifiedDate":"2025-07-30T14:49:56.57927","indexId":"70269684","displayToPublicDate":"2025-03-10T07:42:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17114,"text":"Natural Hazards and Earth Systems Sciences (NHESS)","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the scale of regional landslide triggering from storm hydrometeorology","docAbstract":"<p><span>Rainfall strongly affects landslide triggering; however, understanding how storm characteristics relate to the severity of landslides at the regional scale has thus far remained unclear, despite the societal benefits that would result from defining this relationship. As mapped landslide inventories typically cover a small region relative to a storm system, here we develop a dimensionless index for landslide-inducing rainfall,&nbsp;</span><span class=\"inline-formula\"><i>A</i><sup>*</sup></span><span>, based on extremes of modeled soil water relative to its local climatology. We calibrate&nbsp;</span><span class=\"inline-formula\"><i>A</i><sup>*</sup></span><span>&nbsp;using four landslide inventories, comprising over 11 000 individual landslides over four unique storm events, and find that a common threshold can be applied to estimate regional shallow-landslide-triggering potential across diverse climatic regimes in California (USA). We then use the spatial distribution of&nbsp;</span><span class=\"inline-formula\"><i>A</i><sup>*</sup></span><span>, along with topography, to calculate the landslide potential area (LPA) for nine landslide-inducing storm events over the past 20 years, and we test whether atmospheric metrics describing the strength of landfalling storms, such as integrated water vapor transport, correlate with the magnitude of hazardous landslide-inducing rainfall. We find that although the events with the largest LPA do occur during exceptional atmospheric river (AR) storms, the strength of landfalling atmospheric rivers does not scale neatly with landslide potential area, and even exceptionally strong ARs may yield minimal landslide impacts. Other factors, such as antecedent soil moisture driven by storm frequency and mesoscale precipitation features within storms, are instead more likely to dictate the patterns of landslide-generating rainfall throughout the state.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-25-1037-2025","usgsCitation":"Perkins, J.P., Oakley, N.S., Collins, B.D., Corbett, S.C., and Burgess, W.P., 2025, Characterizing the scale of regional landslide triggering from storm hydrometeorology: Natural Hazards and Earth Systems Sciences (NHESS), v. 25, no. 3, p. 1037-1056, https://doi.org/10.5194/nhess-25-1037-2025.","productDescription":"20 p.","startPage":"1037","endPage":"1056","ipdsId":"IP-144518","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":493301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Paul","contributorId":225613,"corporation":false,"usgs":false,"family":"Burgess","given":"W.","email":"","middleInitial":"Paul","affiliations":[],"preferred":false,"id":944424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269890,"text":"70269890 - 2025 - Assessing the effects of climate and visitor use on amphibian occupancy in a protected landscape with long-term data","interactions":[],"lastModifiedDate":"2025-08-05T15:04:08.126599","indexId":"70269890","displayToPublicDate":"2025-03-09T07:58:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the effects of climate and visitor use on amphibian occupancy in a protected landscape with long-term data","docAbstract":"<p><span>Determining where animals are, and if they are persisting across protected landscapes, is necessary to implement appropriate management and conservation actions. For long-lived animals and those with boom-and-bust life histories, perspective across time contributes to discerning temporal trends in occupancy and persistence, and potentially in identifying mechanisms affecting those parameters. Long-term data are particularly useful in protected areas to quantify indicators of change that may be less obvious or occur more slowly. We used long-term amphibian data from Rocky Mountain National Park (RMNP) in a Bayesian occupancy modeling framework to estimate changes in occupancy, colonization, and persistence of amphibians over three decades and to explore the effects of climate, landscape change, and visitor use as mechanisms behind observed changes. Our results indicate that colonization and persistence are low and/or declining for&nbsp;</span><i>Pseudacris maculata</i><span>,&nbsp;</span><i>Lithobates sylvaticus</i><span>, and&nbsp;</span><i>Ambystoma mavortium</i><span>, and that occupied catchments are increasingly isolated. We found visitor use to have a consistently negative effect on occupancy and persistence of amphibians in RMNP, and that all species are more likely to occupy catchments with more complex habitat and a higher proportion of wetlands. While these results are sobering, they also provide a way forward where mitigation efforts can target identified drivers of change.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70210","usgsCitation":"Kissel, A.M., Watry, M., Evan Bredeweg, and Muths, E., 2025, Assessing the effects of climate and visitor use on amphibian occupancy in a protected landscape with long-term data: Ecosphere, v. 16, no. 3, e70210, 18 p., https://doi.org/10.1002/ecs2.70210.","productDescription":"e70210, 18 p.","ipdsId":"IP-159475","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70210","text":"Publisher Index Page"},{"id":493569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Rocky Mountain National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.8238828687088,\n              40.47056779384607\n            ],\n            [\n              -105.8238828687088,\n              40.178502721775686\n            ],\n            [\n              -105.49527410941528,\n              40.178502721775686\n            ],\n            [\n              -105.49527410941528,\n              40.47056779384607\n            ],\n            [\n              -105.8238828687088,\n              40.47056779384607\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":944877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watry, Mary Kay","contributorId":359046,"corporation":false,"usgs":false,"family":"Watry","given":"Mary Kay","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evan Bredeweg","contributorId":359047,"corporation":false,"usgs":false,"family":"Evan Bredeweg","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":944879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":944880,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264310,"text":"70264310 - 2025 - Decadal-scale effects of a dam removal on channel geomorphology, sediment and large wood on the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2025-03-11T14:40:43.1934","indexId":"70264310","displayToPublicDate":"2025-03-08T09:33:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-scale effects of a dam removal on channel geomorphology, sediment and large wood on the Elwha River, Washington, USA","docAbstract":"<p><span>The removal of Glines Canyon Dam on the Elwha River in western Washington, USA, from 2011 to 2014 introduced a 20-Mt pulse of stored sediment and logs into the downstream channel. We used terrestrial laser scanning, high-resolution orthoimages, and surveys of large wood (LW) and sediment grain-size distribution to quantify changes to the channel and LW in four different geomorphic settings spanning a 16-year period before, during, and after dam removal. The results provide insights into the role of site-specific geomorphology on the interplay among sediment size and supply, wood, and channel form in the aftermath of a dam removal. Sediment-size distribution, braiding index, and number of log jams rapidly reached new steady states. Other factors, such as channel sinuosity and log jam area, were still evolving six years after the dam was removed. The rate and type of river response was partially dictated by the geomorphic setting and the accumulation of LW. Complex reaches trapped more sediment and LW, initiating immediate changes in the channel count, position and lateral migration that continued to evolve through positive feedbacks. Single-channel sites experienced less initial erosion and deposition, but channel migration continued for years once it was underway. The post-dam sediment composition progressively shifted to a mixed size distribution midway between the armored cobbles when the dam was in place and the influx of primarily sand and fine gravel during dam removal. Reworking of sediment was most rapid in the first year after dam removal, especially at the site with the greatest channel complexity. The relation between log jams and channel divisions fundamentally changed. There were 11 log jams in the middle reach of the Elwha River downstream of Glines Canyon Dam, and all log jams associated with channel divisions occurred at the heads of stable, vegetated islands. During dam removal, the number of log jams rapidly increased to 86 and stabilized near that level in the post-dam period. While log jams on stable islands persisted, more were added at divisions around transient sediment bars, scattered across gravel bars, or outside of the active channel. Following a brief spike during dam removal, there was a net long-term increase of ∼10&nbsp;% in the number of channel divisions associated with log jams. The sediment deposits, LW, vegetation, channel morphology and river discharge continued to cause adjustments within the fluvial system a decade after the start of dam removal. This state of greater variability could be the new equilibrium for years to come.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.109676","usgsCitation":"Ely, L., DeMott, A., Free, B., and Ritchie, A., 2025, Decadal-scale effects of a dam removal on channel geomorphology, sediment and large wood on the Elwha River, Washington, USA: Geomorphology, v. 478, 109676, 19 p., https://doi.org/10.1016/j.geomorph.2025.109676.","productDescription":"109676, 19 p.","ipdsId":"IP-170023","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2025.109676","text":"Publisher Index Page"},{"id":483198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.65808527718636,\n              48.14717295075161\n            ],\n            [\n              -123.65808527718636,\n              47.7295156262592\n            ],\n            [\n              -123.4056684597641,\n              47.7295156262592\n            ],\n            [\n              -123.4056684597641,\n              48.14717295075161\n            ],\n            [\n              -123.65808527718636,\n              48.14717295075161\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"478","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ely, Lisa","contributorId":195528,"corporation":false,"usgs":false,"family":"Ely","given":"Lisa","affiliations":[],"preferred":false,"id":930386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeMott, Alyssa","contributorId":352229,"corporation":false,"usgs":false,"family":"DeMott","given":"Alyssa","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":930387,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Free, Bryon J.","contributorId":352230,"corporation":false,"usgs":false,"family":"Free","given":"Bryon J.","affiliations":[{"id":26935,"text":"Central Washington University","active":true,"usgs":false}],"preferred":false,"id":930388,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":930389,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264124,"text":"fs20253010 - 2025 - U.S. Geological Survey Cooperative Research Units program","interactions":[],"lastModifiedDate":"2026-03-23T23:45:58.3657","indexId":"fs20253010","displayToPublicDate":"2025-03-07T11:00:00","publicationYear":"2025","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":"2025-3010","displayTitle":"U.S. Geological Survey Cooperative Research Units Program","title":"U.S. Geological Survey Cooperative Research Units program","docAbstract":"<p>This fact sheet provides a 10-year overview of the U.S. Geological Survey Cooperative Research Units program. It highlights long term accomplishments for the program's mission of applied research, graduate education and technical assistance to the partners.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253010","usgsCitation":"Irwin, E.R., McConnell, T.M., Dennerline, D.C., Pope, K.L., and Mawdsley, J.R., 2025, U.S. Geological Survey Cooperative Research Units program (ver. 1.1, March 2026): U.S. Geological Survey Fact Sheet 2025–3010, 4 p., https://doi.org/10.3133/fs20253010.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-175698","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":483067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3010/coverthb2.jpg"},{"id":483068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3010/fs20253010.pdf","text":"Report","size":"1.71 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":483232,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253010/full"},{"id":483233,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3010/fs20253010.XML"},{"id":483234,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3010/images/"},{"id":501395,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2025/3010/versionHist.txt","size":"818 B","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: March 2025; Version 1.1: March 2026","contact":"<p><a href=\"https://www.usgs.gov/programs/cooperative-research-units\" data-mce-href=\"https://www.usgs.gov/programs/cooperative-research-units\">Cooperative Fish and Wildlife Research Units Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 303<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Supporting Partners Since 1935</li><li>Mission</li><li>Leveraging Partner Contributions 1:3&nbsp;</li><li>Delivering Products to Our Partners</li><li>Science for Partner Decision Making</li><li>Connect With Us</li><li>Headquarters Contacts</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-03-07","revisedDate":"2026-03-23","noUsgsAuthors":false,"publicationDate":"2025-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":929896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McConnell, Tess M. 0000-0001-9248-1814","orcid":"https://orcid.org/0000-0001-9248-1814","contributorId":346087,"corporation":false,"usgs":true,"family":"McConnell","given":"Tess M.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":929897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dennerline, Donald E. 0000-0001-8345-315X ddennerline@usgs.gov","orcid":"https://orcid.org/0000-0001-8345-315X","contributorId":192857,"corporation":false,"usgs":true,"family":"Dennerline","given":"Donald","email":"ddennerline@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":929898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929899,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mawdsley, Jonathan R. 0000-0002-4532-8603 jmawdsley@usgs.gov","orcid":"https://orcid.org/0000-0002-4532-8603","contributorId":302618,"corporation":false,"usgs":true,"family":"Mawdsley","given":"Jonathan","email":"jmawdsley@usgs.gov","middleInitial":"R.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":929900,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265023,"text":"70265023 - 2025 - Use of multi-resolution, three-dimensional hydrodynamic and water-quality models to assess response to nutrient load reductions in Barnegat Bay-Little Egg Harbor estuary, New Jersey, USA","interactions":[],"lastModifiedDate":"2025-03-31T14:32:55.208654","indexId":"70265023","displayToPublicDate":"2025-03-07T09:28:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Use of multi-resolution, three-dimensional hydrodynamic and water-quality models to assess response to nutrient load reductions in Barnegat Bay-Little Egg Harbor estuary, New Jersey, USA","docAbstract":"<div id=\"sp0055\" class=\"u-margin-s-bottom\">A coupled three-dimensional hydrodynamic water-quality model has been applied to Barnegat Bay-Little Egg Harbor Estuary, a shallow, back-barrier lagoon located along the central New Jersey coastline. The study aims to enhance understanding of phytoplankton dynamics and nutrient cycling and to quantify estuarine response to potential nutrient load management strategies. The model was calibrated with data from Spring and Summer of 2012 and adequately reproduced spatiotemporal water-quality variability, distribution patterns, trends, and gradients throughout the system.</div><div id=\"sp0060\" class=\"u-margin-s-bottom\">The calibrated model was used to run scenarios for evaluating estuarine response to various nitrogen load reduction intensities. Model results show that geographically focused, variable nitrogen reductions can mitigate the effects of eutrophication and promote improvements in water quality. This study illustrates the role of modeling in developing informed management strategies, highlights complex, nonlinear responses of estuarine environments to anthropogenic influences, and demonstrates how models can be used to develop adaptive, location-specific nutrient management practices.</div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2025.117748","usgsCitation":"DePaul, V.T., 2025, Use of multi-resolution, three-dimensional hydrodynamic and water-quality models to assess response to nutrient load reductions in Barnegat Bay-Little Egg Harbor estuary, New Jersey, USA: Marine Pollution Bulletin, v. 214, 117748, 16 p., https://doi.org/10.1016/j.marpolbul.2025.117748.","productDescription":"117748, 16 p.","ipdsId":"IP-164501","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":488922,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2025.117748","text":"Publisher Index Page"},{"id":484018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay-Little Egg Harbor estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.27950207494635,\n              39.870749942623235\n            ],\n            [\n              -74.28521158908013,\n              39.70183545711612\n            ],\n            [\n              -74.07253218760218,\n              39.69854084530468\n            ],\n            [\n              -74.07253218760218,\n              39.864176928584214\n            ],\n            [\n              -74.27950207494635,\n              39.870749942623235\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"214","noUsgsAuthors":false,"publicationDate":"2025-03-07","publicationStatus":"PW","contributors":{"authors":[{"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":932340,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263798,"text":"70263798 - 2025 - An accuracy assessment of satellite-derived rangeland fractional cover","interactions":[],"lastModifiedDate":"2025-02-25T16:16:35.124563","indexId":"70263798","displayToPublicDate":"2025-03-07T08:58:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"An accuracy assessment of satellite-derived rangeland fractional cover","docAbstract":"<p><span>Satellite-derived maps of vegetation cover provide detailed information about vegetation spatiotemporal patterns and are increasingly used to better understand and manage rangelands. Despite their utility, questions remain regarding the regional and site level accuracy for these maps, especially compared to field-collected data. We conducted an accuracy assessment of the Rangeland Analysis Platform (RAP), using over 17,000 field plots sampled through nationwide rangeland vegetation monitoring programs in the continental U.S. We observed higher overall nationwide map error compared to previous validations of RAP, and absolute error (Mean Absolute Error [MAE] and Root Mean Square Error [RMSE]) was highest for perennial herbaceous and bare ground and lowest for trees (MAE range&nbsp;=&nbsp;2.98 –10.22&nbsp;%). There were also differences in map agreement with field data across ecoregions. Generally, map agreement was highest in the Great Basin and lowest in the Great Plains and Desert Southwest. Additionally, we assessed the suitability of using RAP in riparian and wetland areas, which are absent in the current version’s training. Errors for bare ground in riparian areas were lower than errors of upland accuracy assessments (upland MAE = 10.22&nbsp;%, riparian MAE = 7.22&nbsp;%), but for all other functional groups, riparian error was higher (ΔMAE range: 0.21 – 20.49&nbsp;%). We examine how our results could inform regional applications of fractional cover data while considering error and uncertainty and identify areas for potential model improvement. Our findings inform the use of RAP regionally and provide a technique for evaluating other vegetation mapping products for use in rangeland management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2025.113267","usgsCitation":"Harrison, G., Rigge, M.B., Assal, T.J., Applestein, C., James, D.K., and McCord, S.E., 2025, An accuracy assessment of satellite-derived rangeland fractional cover: Ecological Indicators, v. 172, 113267, 13 p., https://doi.org/10.1016/j.ecolind.2025.113267.","productDescription":"113267, 13 p.","ipdsId":"IP-167310","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489958,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2025.113267","text":"Publisher Index Page"},{"id":482452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70264826,"text":"70264826 - 2025 - Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration","interactions":[],"lastModifiedDate":"2025-03-26T15:51:07.67541","indexId":"70264826","displayToPublicDate":"2025-03-07T08:42:17","publicationYear":"2025","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":"Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration","docAbstract":"<p><span>Effective management of valuable coastal systems, such as salt marshes requires an understanding of the complex stressors influencing their continued threat of drowning. However, efforts to determine the effects of one potential stressor, ditches, have produced diverging results complicating management efforts. Ditches (linear trenches dug to drain salt marshes for agriculture and mosquito control) alter salt marsh hydrology, but their effects on widescale marsh function and degradation are poorly understood. We created a dataset of visible ditches and summarized ditch densities (length of ditches over area) for salt marshes of the Northeast U.S. to evaluate ditching against vulnerability metrics, including elevation and the unvegetated to vegetated marsh ratio (UVVR). We identified a scale dependency in which the larger/coarser the spatial scale of analysis, the greater the fraction of ditched salt marshes. Scale dependence explains discrepancies between previously determined ditch indices. In terms of effects on marsh vulnerability, relative elevation was not influenced by visible ditch presence. Ditch densities affected UVVR, exhibiting a multiple threshold behavior. When present at low densities, ditches have little effect on ponding; yet as ditch densities increase, UVVR (i.e., ponding) increases. The relationship between ditching and UVVR reverses at the highest ditch densities, with ponding substantially decreasing. The multiple threshold vulnerability response of Northeast salt marshes to the hydrologic influences imposed by ditching suggests restoration strategies should consider the degree of ditching rather than simply ditching presence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.124444","usgsCitation":"Peck, E., Walker, J., Ackerman, K., Carr, J., Correll, M.D., Defne, Z., Deegan, L.A., Eaton, M.J., Ganju, N., Hartley, M., Johnson, C., Mercer, J.J., Ruskin, K., Woodruff, J.D., and Yellen, B., 2025, Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration: Journal of Environmental Management, v. 376, 124444, 12 p., https://doi.org/10.1016/j.jenvman.2025.124444.","productDescription":"124444, 12 p.","ipdsId":"IP-170787","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-71.860513,41.320248],[-72.983751,41.235364],[-73.643478,41.002171],[-73.785964,40.800862],[-72.245348,41.161217],[-72.273657,41.051533],[-72.116368,40.999796],[-71.869558,41.075046],[-72.39585,40.86666],[-73.23914,40.6251],[-74.206731,40.594569],[-74.209788,40.447407],[-73.995683,40.468707],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.511743,39.674313],[-75.587147,39.651012],[-75.401193,39.088762],[-75.06551,38.66103],[-75.057288,38.404738],[-75.87767,37.135604],[-76.023664,37.268971],[-75.712065,37.936082],[-75.846621,37.925785],[-75.938577,38.272329],[-76.188644,38.267434],[-76.320843,38.459862],[-76.190902,38.621092],[-76.308922,38.813346],[-76.205063,38.892726],[-76.333703,38.984607],[-76.168332,38.996546],[-76.27566,39.160304],[-75.986298,39.510398],[-76.497977,39.204697],[-76.438845,39.0529],[-76.559697,38.767443],[-76.329433,38.073986],[-77.040638,38.444618],[-77.256412,38.396755],[-77.175969,38.604113],[-77.26443,38.582845],[-77.286202,38.347025],[-77.024866,38.386791],[-76.910832,38.197073],[-76.265998,37.91138],[-76.339892,37.655966],[-76.722156,37.83668],[-76.252415,37.447274],[-76.475927,37.250543],[-76.300352,37.00885],[-76.780532,37.209336],[-76.482407,36.917364],[-76.058154,36.916947],[-75.867044,36.550754],[-83.645586,36.600002],[-82.895445,36.882145],[-82.722097,37.120168],[-81.968297,37.537798],[-82.39968,37.829935],[-82.638398,38.152157],[-82.595382,38.382712],[-82.181967,38.599384],[-82.068864,38.984878],[-81.759995,38.925828],[-81.814155,39.073478],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.652436,40.562544],[-80.52566,40.636068],[-80.519345,41.929168],[-78.868556,42.770258],[-79.061388,43.251349],[-78.370221,43.376505],[-76.952174,43.270692],[-76.235834,43.529256],[-76.133697,43.940356],[-76.360306,44.070907],[-76.312647,44.199044],[-74.946686,44.984665],[-71.502487,45.013367],[-71.443882,45.235462],[-70.898482,45.244088],[-70.684614,45.395071],[-70.688214,45.563981],[-70.259117,45.890755],[-70.290896,46.185838],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.066715,47.43024],[-69.0402,47.2451],[-68.893204,47.182974],[-68.292679,47.359476],[-67.991871,47.212042],[-67.790515,47.067921],[-67.803148,45.696127],[-67.476704,45.604157],[-67.489464,45.282653],[-67.390579,45.154114],[-67.145652,45.146667],[-66.986318,44.820657],[-68.049334,44.33073],[-68.22939,44.463496],[-68.191924,44.306675],[-68.339498,44.222893],[-68.3791,44.430049],[-68.529905,44.39907],[-68.528153,44.241263],[-68.982449,44.426195],[-69.031878,44.079036],[-69.259838,43.921427],[-69.851297,43.703581],[-70.026193,43.822587],[-70.176023,43.76079],[-70.810999,42.892375],[-70.772267,42.711064],[-70.595474,42.660336],[-70.996097,42.271222],[-70.754488,42.228673],[-70.471552,41.761563],[-70.008462,41.800786],[-70.169781,42.059736],[-70.082624,42.054657],[-69.935952,41.809422],[-69.976478,41.603664],[-70.329924,41.634578],[-70.902763,41.421061],[-70.658659,41.543385],[-70.708193,41.730959],[-71.19302,41.457931],[-71.21616,41.62549],[-71.304394,41.454502],[-71.19564,41.67509],[-71.342786,41.728506],[-71.455371,41.407962],[-71.860513,41.320248]],[[-77.038598,38.791513],[-77.002498,38.96541],[-77.0915,38.95651],[-77.038598,38.791513]]],[[[-70.59628,41.471905],[-70.450431,41.420703],[-70.496162,41.346452],[-70.802083,41.314207],[-70.59628,41.471905]]],[[[-70.092142,41.297741],[-69.960277,41.278731],[-70.256164,41.288123],[-70.092142,41.297741]]],[[[-74.144428,40.53516],[-74.219787,40.502603],[-74.120186,40.642201],[-74.144428,40.53516]]]]},\"properties\":{\"name\":\"Connecticut\",\"nation\":\"USA  \"}}]}","volume":"376","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peck, Erin K. 0000-0002-2021-6584","orcid":"https://orcid.org/0000-0002-2021-6584","contributorId":336706,"corporation":false,"usgs":false,"family":"Peck","given":"Erin K.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":931989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, Julie E. 0000-0002-8344-0452","orcid":"https://orcid.org/0000-0002-8344-0452","contributorId":336707,"corporation":false,"usgs":false,"family":"Walker","given":"Julie E.","affiliations":[{"id":34616,"text":"University of Massachusetts Amherst","active":true,"usgs":false}],"preferred":false,"id":931990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Kate 0000-0003-3925-721X","orcid":"https://orcid.org/0000-0003-3925-721X","contributorId":293631,"corporation":false,"usgs":true,"family":"Ackerman","given":"Kate","email":"","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":931992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Correll, Maureen 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Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":931995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":931996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hartley, Mitch","contributorId":272059,"corporation":false,"usgs":false,"family":"Hartley","given":"Mitch","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":931998,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Catherine","contributorId":306165,"corporation":false,"usgs":false,"family":"Johnson","given":"Catherine","affiliations":[{"id":66380,"text":"National Park Service, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":931999,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mercer, Jason J","contributorId":219802,"corporation":false,"usgs":false,"family":"Mercer","given":"Jason","email":"","middleInitial":"J","affiliations":[{"id":34987,"text":"University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":932000,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ruskin, Katharine J.","contributorId":352685,"corporation":false,"usgs":false,"family":"Ruskin","given":"Katharine J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":932001,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Woodruff, Jonathan D.","contributorId":192777,"corporation":false,"usgs":false,"family":"Woodruff","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":932002,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Yellen, Brian","contributorId":198491,"corporation":false,"usgs":false,"family":"Yellen","given":"Brian","email":"","affiliations":[{"id":33278,"text":"Department of Geosciences, University of Massachusetts, Amherst, MA","active":true,"usgs":false}],"preferred":false,"id":932003,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70263876,"text":"70263876 - 2025 - Population vulnerability of residents, employees, and cruise-ship passengers to tsunami hazards of islands in complex seismic regions: A case study of the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2025-04-30T15:22:09.702835","indexId":"70263876","displayToPublicDate":"2025-03-07T08:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Population vulnerability of residents, employees, and cruise-ship passengers to tsunami hazards of islands in complex seismic regions: A case study of the U.S. Virgin Islands","docAbstract":"<p><span>Reducing the potential for loss of life from tsunamis is challenging on islands located in complex seismic regions given the multiple sources that surround islands, differences among islands in the amount of time needed to evacuate before wave arrival, and the high number of residents, employees, and tourists in tsunami-hazard zones. We examine variations in population vulnerability in island communities to multiple tsunami threats and use the United States territory of the U.S. Virgin Islands (USVI), including St. Thomas Island, St. John Island, and St. Croix Island, as our case study. We estimate the tsunami-hazard exposure of residents, employees, and cruise-ship passengers on vessels docking at USVI maritime facilities, as well as model pedestrian travel times out of inundation zones for 13 credible tsunami scenarios. Results indicate that the threat to life safety in USVI posed by tsunamis is not equal among the three islands, both in terms of the magnitude of people in hazard zones and the amount of time available to evacuate for the various scenarios. The number of employees and cruise-ship passengers in tsunami-hazard zones is orders of magnitude higher than the number of residents, suggesting that risk assessments that only account for residents are under-estimating threats to life safety from tsunamis. Finally, reducing departure delays has a greater impact than increasing pedestrian travel speeds on reducing the number of people that may have insufficient time to evacuate hazard zones before wave arrival.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2025.105289","usgsCitation":"Wood, N.J., Peters, J., and Moore, C., 2025, Population vulnerability of residents, employees, and cruise-ship passengers to tsunami hazards of islands in complex seismic regions: A case study of the U.S. Virgin Islands: International Journal of Disaster Risk Reduction, v. 119, 105289, 15 p., https://doi.org/10.1016/j.ijdrr.2025.105289.","productDescription":"105289, 15 p.","ipdsId":"IP-172610","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":487887,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2025.105289","text":"Publisher Index Page"},{"id":482556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -65.10271729681736,\n              18.453483664421626\n            ],\n            [\n              -65.10271729681736,\n              18.217661626050017\n            ],\n            [\n              -64.66350061715465,\n              18.217661626050017\n            ],\n            [\n              -64.66350061715465,\n              18.453483664421626\n            ],\n            [\n              -65.10271729681736,\n              18.453483664421626\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":928795,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peters, Jeff 0000-0003-4312-0590 jpeters@usgs.gov","orcid":"https://orcid.org/0000-0003-4312-0590","contributorId":4711,"corporation":false,"usgs":true,"family":"Peters","given":"Jeff","email":"jpeters@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":928796,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Christopher","contributorId":202056,"corporation":false,"usgs":false,"family":"Moore","given":"Christopher","affiliations":[{"id":33877,"text":"CNTS","active":true,"usgs":false}],"preferred":false,"id":928797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70271427,"text":"70271427 - 2025 - UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape","interactions":[],"lastModifiedDate":"2025-09-15T13:19:09.227483","indexId":"70271427","displayToPublicDate":"2025-03-07T07:46:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape","docAbstract":"<p>Context&nbsp;</p><p><span>Shifts in precipitation regimes due to climate change are significantly impacting dryland ecosystems, including vegetation composition and structure. Unoccupied aerial vehicles&nbsp;(UAVs) are widely used to monitor vegetation, but whether models built to predict changes in these characteristics are robust under extreme precipitation regimes is unclear.</span></p><p><span>Objectives</span></p><p><span>We aimed to predict key vegetation characteristics under three precipitation regimes (ambient, drought, and water addition) and assess model performance across these moisture conditions. We also evaluated how models built under ambient conditions predicted vegetation characteristics under extreme precipitation regimes.</span></p><p><span>Methods</span></p><p><span>UAV surveys were conducted at five sites subject to long-term precipitation manipulation along an elevation gradient in northern Arizona,&nbsp;United States (U.S.). Twenty-one vegetation indices and point cloud data from the UAV imagery were used to develop models to predict vegetation structure and composition characteristics. Model performance and transferability were assessed via error and directional bias within each treatment (i.e., in situ) and from ambient to precipitation treatments (i.e., model transfer).</span></p><p><span>Results</span></p><p><span>UAV-based models accurately measured vegetation characteristics across all regimes, but maximum height showed significantly higher error under drought conditions. Models developed under ambient precipitation and applied to extreme precipitation treatments exhibited significant differences in the error and directional bias, indicating they may not be suitable under climate change.</span></p><p><span>Conclusions</span></p><p><span>UAV-based models are effective for monitoring vegetation characteristics but may lose accuracy under extreme precipitation regimes expected under climate change. This study emphasizes the need to improve model transferability and suggests refining landscape monitoring approaches to consider extreme changes in precipitation and associated vegetation responses.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10980-025-02064-6","usgsCitation":"Blackburn, R.C., Allington, G.R., Motzer, N., Munson, S.M., and Huang, Q., 2025, UAV-derived models of vegetation characteristics do not transfer to extreme drought and wet conditions across a northern Arizona landscape: Landscape Ecology, v. 40, 59, 17 p., https://doi.org/10.1007/s10980-025-02064-6.","productDescription":"59, 17 p.","ipdsId":"IP-171149","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496414,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02064-6","text":"Publisher Index Page"},{"id":495407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"northern Arizona","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.00885151827934,\n              35.49924603762916\n            ],\n            [\n              -112.00885151827934,\n              34.90066874429827\n            ],\n            [\n              -111.00177522680366,\n              34.90066874429827\n            ],\n            [\n              -111.00177522680366,\n              35.49924603762916\n            ],\n            [\n              -112.00885151827934,\n              35.49924603762916\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2025-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Blackburn, Ryan C. 0000-0002-2952-0865","orcid":"https://orcid.org/0000-0002-2952-0865","contributorId":361388,"corporation":false,"usgs":false,"family":"Blackburn","given":"Ryan","middleInitial":"C.","affiliations":[{"id":86267,"text":"Smithsonian Conservation Biology Institute, Front Royal, Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":948728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allington, Ginger R. H. 0000-0003-0446-0576","orcid":"https://orcid.org/0000-0003-0446-0576","contributorId":213452,"corporation":false,"usgs":false,"family":"Allington","given":"Ginger","email":"","middleInitial":"R. H.","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":948729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Motzer, Nicole","contributorId":361389,"corporation":false,"usgs":false,"family":"Motzer","given":"Nicole","affiliations":[{"id":86268,"text":"Office of Research Development, Montana State University, Bozeman, MT, USA","active":true,"usgs":false}],"preferred":false,"id":948730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Qiongyu","contributorId":298920,"corporation":false,"usgs":false,"family":"Huang","given":"Qiongyu","affiliations":[{"id":37784,"text":"Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":948732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264080,"text":"tm11E1 - 2025 - Lunar grid systems, coordinate systems, and map projections for the Artemis missions and lunar surface navigation","interactions":[],"lastModifiedDate":"2025-03-07T14:34:26.559588","indexId":"tm11E1","displayToPublicDate":"2025-03-06T14:33:35","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-E1","displayTitle":"Lunar Grid Systems, Coordinate Systems, and Map Projections for the Artemis Missions and Lunar Surface Navigation","title":"Lunar grid systems, coordinate systems, and map projections for the Artemis missions and lunar surface navigation","docAbstract":"<h1>Foreward</h1><p>This document contains design specifications of a navigational standard for the Moon, including a Lunar Transverse Mercator system, a Lunar Polar Stereographic system, a Lunar Grid Reference System, and a unique coordinate structure, Artemis Condensed Coordinates, for Artemis mission navigation and lunar surface science.</p><p>The National Aeronautics and Space Administration (NASA) Artemis campaign seeks to place humans on the Moon for the first time since the Apollo missions. Early Artemis missions are heavily focused on the lunar south pole, which promises to return valuable data on the Moon’s geologic record, amongst other mission objectives. Coordinate systems in use today for the lunar south pole provides crew members on the surface neither an efficient nor intuitive means to communicate their position and orientation. A novel grid coordinate system, the Lunar Grid Reference System, is proposed to address these concerns for use in real-time extravehicular activity operations on the lunar surface.</p><p>The many stakeholders involved in the Artemis missions will need a common system to communicate position and orientation while astronauts are operating on the lunar surface. To that end, Artemis crew members will need that system to be efficient and intuitive to promote efficient extravehicular activity timelines and reduce confusion. In the context of this document, these characteristics are addressed on the design of lunar coordinate systems:<br></p><ul><li>Efficient.—The number of characters required to communicate a location within a desired precision level in both local and global contexts, and how many steps are required for a recipient or sender to interpret a location.</li><li>Intuitive.—How well the system aligns with human perceptual abilities, and whether the system yields distances that have the same relationship to actual lunar surface distance in all directions from the point where a person is located.</li></ul><p>Technological systems are currently being investigated to supplement the crew members’ ability to locate and orient themselves and other assets on the lunar surface; however, it is unlikely that those systems will be fully operational for the first few landed missions. Even with future positional aids, crew members will still need an efficient and intuitive means to communicate position and orientation. In addition, if technological systems fail, the crews will require land navigation skills and have maps available, thus providing further motivation for a crew-centric coordinate system.</p><p>The contents of this U.S. Geological Survey (USGS) document detail a comprehensive framework for standardizing lunar crewed surface navigation within NASA and outlines the protocols, methods, and designs necessary for achieving consistency and interoperability across relevant space mission teams and lunar surface navigators. Key components of this document include designs of map projections, projected coordinate reference systems (Lunar Transverse Mercator and Lunar Polar Stereographic systems), and a grid system (Lunar Grid Reference System and Artemis Condensed Coordinates) for the Moon.</p><p>The work proposed in this document seeks to accomplish something similar to the National Geospatial-Intelligence Agency (NGA) document SIG 0012 (NGA, 2014a), but for using grid systems for the Moon. This report incorporates initial feedback and input from NASA’s Artemis Geospatial Data Team, NASA’s Flight Operations Directorate, National Geodetic Survey, USGS Astrogeology Science Center, and NGA and is intended to serve as a resource for all involved with the Artemis missions, as well as for engineers designing and operating lunar infrastructure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11E1","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration and with support from the National Geodetic Survey","usgsCitation":"McClernan, M.T., Dennis, M.L., Theriot, I.H., Hare, T.M., Archinal, B.A., Ostrach, L.R., Hunter, M.A., Miller, M.J., Beyer, R.A., Annex, A.M., and Lawrence, S.J., 2025, Lunar grid systems, coordinate systems, and map projections for the Artemis missions and lunar surface navigation: U.S. Geological Survey Techniques and Methods, book 11, chap. E1, 308 p., https://doi.org/10.3133/tm11E1.","productDescription":"Report: xi, 308 p.; Software Release","onlineOnly":"Y","ipdsId":"IP-164069","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":482939,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/11/e1/coverthb.jpg"},{"id":482940,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/e1/tm11E1.pdf","text":"Report","size":"8.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM11E1 PDF"},{"id":482941,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://astrogeology.usgs.gov/search/map//lunar-map-projections-and-grid-reference-system-for-artemis-astronaut-surface-navigation","text":"Software Release","description":"McClernan, M.T., Dennis, M.L., Theriot, I.H., Hare, T.M., Archinal, B.A., Ostrach, L.R., Hunter, M.A., Miller, M.J., Beyer, R.A., Annex, A.M., and Lawrence, S.J., 2024, Lunar map projections and grid reference system for Artemis astronaut surface navigation: U.S. Geological Survey, Astropedia Lunar and Planetary Cartographic Catalog, https://astrogeology.usgs.gov/search/map//lunar-map-projections-and-grid-reference-system-for-artemis-astronaut-surface-navigation.","linkHelpText":"— Lunar map projections and grid reference system for Artemis astronaut surface navigation"}],"otherGeospatial":"Moon","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction</li><li>Artemis Mission Needs<br></li><li>Background</li><li>General Discussion on Navigation Standard</li><li>Transverse Mercator and Lunar Transverse Mercator (LTM) System<br></li><li>Polar Stereographic and Lunar Polar Stereographic (LPS) System<br></li><li>Lunar Grid Systems<br></li><li>Summary<br></li><li>References Cited</li><li>Appendix 1. Preliminary Lunar Grid Reference System Coordinate Conversion Program<br></li><li>Appendix 2. Preliminary Lunar Grid Reference System Grid Generation Program<br></li><li><div id=\"field-customfield_11911\" class=\"twixi-block expanded\"><div class=\"twixi-wrap verbose\"><div class=\"flooded\">Appendix 3. Lunar Transverse Mercator Map Projection Well-Known Text</div></div></div></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-03-06","noUsgsAuthors":false,"publicationDate":"2025-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McClernan, Mark T 0009-0003-1269-4599","orcid":"https://orcid.org/0009-0003-1269-4599","contributorId":343637,"corporation":false,"usgs":true,"family":"McClernan","given":"Mark T","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennis, Michael L.","contributorId":351881,"corporation":false,"usgs":false,"family":"Dennis","given":"Michael L.","affiliations":[{"id":84066,"text":"National Geodetic Survey","active":true,"usgs":false}],"preferred":false,"id":929697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Theriot, Ike H.","contributorId":351882,"corporation":false,"usgs":false,"family":"Theriot","given":"Ike H.","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":929701,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929699,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Archinal, Brent A. 0000-0002-6654-0742","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":206341,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hunter, Marc A. 0000-0002-6999-3245 mahunter@usgs.gov","orcid":"https://orcid.org/0000-0002-6999-3245","contributorId":210560,"corporation":false,"usgs":true,"family":"Hunter","given":"Marc","email":"mahunter@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929703,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matthew J.","contributorId":351883,"corporation":false,"usgs":false,"family":"Miller","given":"Matthew J.","affiliations":[{"id":84067,"text":"Jacobs Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":929702,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Beyer, Ross A.","contributorId":204235,"corporation":false,"usgs":false,"family":"Beyer","given":"Ross","email":"","middleInitial":"A.","affiliations":[{"id":36890,"text":"Sagan Center at the SETI Institute and NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":929706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Annex, Andrew M. 0000-0002-0253-2313","orcid":"https://orcid.org/0000-0002-0253-2313","contributorId":351884,"corporation":false,"usgs":false,"family":"Annex","given":"Andrew M.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false},{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":929707,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lawrence, Samuel J.","contributorId":213332,"corporation":false,"usgs":false,"family":"Lawrence","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":929700,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70264781,"text":"70264781 - 2025 - Rapid butterfly declines across the United States during the 21st century","interactions":[],"lastModifiedDate":"2025-03-25T13:09:30.137955","indexId":"70264781","displayToPublicDate":"2025-03-06T09:29:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Rapid butterfly declines across the United States during the 21st century","docAbstract":"<p><span>Reports of declining insect populations have received widespread media attention, but evidence for declines has been variable across regions and taxonomic groups. Edwards&nbsp;</span><i>et al</i><span>. examined trends in the most surveyed taxon: butterflies (see the Perspective by Inouye). Combining data from 35 citizen science programs across the continental US, the authors found declines in overall butterfly abundance over the past 20 years across almost all major regions. Two-thirds of studied species showed declines of more than 10%. Many insects have the potential for rapid population growth and recovery, but habitat restoration, species-specific interventions, and reducing pesticide use are all likely needed to curb population declines.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.adp4671","usgsCitation":"Edwards, C., Zipkin, E., Henry, E., Haddad, N.M., Forister, M.L., Burls, K., Campbell, S., Crone, E., Diffendorfer, J., Douglas, M.R., Drum, R., Fallon, C.E., Glassberg, J., Grames, E., Hatfield, R.G., Hershcovich, S.V., Hoffman-Black, S., Larsen, E., Leuenberger, W., Linders, M., Longcore, T., Marschalek, D., Michielini, J., Neupane, N., Ries, L., Shapiro, A.M., Swengel, A., Swengel, S., Taron, D., Van Deynze, B., Wiedmann, J., Thogmartin, W.E., and Schultz, C., 2025, Rapid butterfly declines across the United States during the 21st century: Science, v. 387, no. 6738, p. 1090-1094, 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,{"id":70266429,"text":"70266429 - 2025 - Using plant invasions to compare occurrence- and abundance-based calculations of biotic homogenisation: Are results complementary or contradictory?","interactions":[],"lastModifiedDate":"2025-05-06T14:17:47.093552","indexId":"70266429","displayToPublicDate":"2025-03-06T09:12:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1839,"text":"Global Ecology and Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Using plant invasions to compare occurrence- and abundance-based calculations of biotic homogenisation: Are results complementary or contradictory?","docAbstract":"<h3 id=\"geb70022-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Beta diversity quantifies the similarity of ecological assemblages. Its increase, known as biotic homogenisation, can be a consequence of biological invasions. However, species occurrence (presence/absence) and abundance-based analyses can produce contradictory assessments of the magnitude and direction of changes in beta diversity. Previous work indicates these contradictions should be less frequent in nature than in theory, but a growing number of empirical studies report discrepancies between occurrence- and abundance-based approaches. Understanding if these discrepancies represent a few isolated cases or are systematic across a diversity of ecosystems would allow us to better understand the general patterns, mechanisms and impacts of biotic homogenisation.</p><h3 id=\"geb70022-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>United States.</p><h3 id=\"geb70022-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>1963–2020.</p><h3 id=\"geb70022-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>Vascular plants.</p><h3 id=\"geb70022-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We used a dataset of more than 70,000 vegetation survey plots to assess differences in biotic homogenisation with and without invasion using both occurrence- and abundance-based metrics of beta diversity. We estimated taxonomic biotic homogenisation by comparing beta diversity of invaded and uninvaded plots with both classes of metrics and investigated the characteristics of the non-native species pool that influenced the likelihood that these metrics disagree.</p><h3 id=\"geb70022-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>In 78% of plot comparisons, occurrence- and abundance-based calculations agreed in direction, and the two metrics were generally well correlated. Our empirical results are consistent with previous theory. Discrepancies between the metrics were more likely when the same non-native species was at high cover at both plots compared for beta diversity, and when these plots were spatially distant.</p><h3 id=\"geb70022-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>In about 20% of cases, our calculations revealed differences in direction (homogenisation vs. differentiation) when comparing occurrence- and abundance-based metrics, indicating that the metrics are not interchangeable, especially when distances between plots are high and invader diversity is low. When data permit, combining the two approaches can offer insights into the role of invasions and extirpations in driving biotic homogenisation/differentiation.</p>","language":"English","publisher":"Wiley","doi":"10.1111/geb.70022","usgsCitation":"Buonaiuto, D., Barnett, D., Blumenthal, D.M., Nebhut, A., Pearse, I., Sofaer, H., Sorte, C.J., Corbin, J., Early, R., Garbowski, M., Ibanez, I., Laughlin, D.C., Petri, L., Vilà, M., and Bradley, B., 2025, Using plant invasions to compare occurrence- and abundance-based calculations of biotic homogenisation: Are results complementary or contradictory?: Global Ecology and Biogeography, v. 34, e70022, 11 p., https://doi.org/10.1111/geb.70022.","productDescription":"e70022, 11 p.","ipdsId":"IP-166689","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science 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,{"id":70269962,"text":"70269962 - 2025 - First documentation of pelagic larvae of Prickly Sculpin Cottus asper in Willamette Basin reservoirs using a novel light trapping method","interactions":[],"lastModifiedDate":"2025-08-07T15:46:18.295431","indexId":"70269962","displayToPublicDate":"2025-03-05T10:37:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9341,"text":"Ichthyology & Herpetology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"First documentation of pelagic larvae of Prickly Sculpin <i>Cottus asper</i> in Willamette Basin reservoirs using a novel light trapping method","title":"First documentation of pelagic larvae of Prickly Sculpin Cottus asper in Willamette Basin reservoirs using a novel light trapping method","docAbstract":"<p><span>Although sculpin can play important ecological roles, serving as abundant key meso-predators in freshwater aquatic systems, much remains to be learned about their development and ecology. Depth discrete light traps effectively captured larval sculpin from Lookout Point Reservoir in the Willamette Basin, Oregon, USA. We confirm that these larvae were Prickly Sculpin (</span><i>Cottus asper</i><span>) based on morphology and genetics. We also document larval size and development and examine monthly vertical distributions and sympatric invertebrate taxa. We captured 1,048 pelagic larval Prickly Sculpin from 4.21 to 42.0 mm total length. Sampling occurred in traps set up to 20 m above the substrate, with Prickly Sculpin captured at all sampled depths. Captures shifted toward deeper reservoir habitats corresponding to increases in average body sizes as the season progressed from early spring to fall. We found most larval Prickly Sculpin at locations within the main reservoir body, several kilometers downstream of riverine areas. In addition to trap location, the abundance of larval Prickly Sculpin per trap was strongly associated with aquatic mites (absent from Prickly Sculpin stomachs). These findings suggest potentially shared ecological drivers of the observed distributions of larval Prickly Sculpin and mites. Collectively, we demonstrate that light trapping can be a useful method for collecting pelagic juvenile sculpins from reservoirs, in this case Prickly Sculpin, with the potential to improve our understanding of distribution, life-history patterns, and ecology throughout their range.</span></p>","language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/i2024026","usgsCitation":"Murphy, C.A., Cortes, A., Pollock, A.M., Gerth, W.J., Arismendi, I., and Konstantinidis, P., 2025, First documentation of pelagic larvae of Prickly Sculpin Cottus asper in Willamette Basin reservoirs using a novel light trapping method: Ichthyology & Herpetology, v. 113, no. 1, p. 84-93, https://doi.org/10.1643/i2024026.","productDescription":"10 p.","startPage":"84","endPage":"93","ipdsId":"IP-156602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1643/i2024026","text":"Publisher Index Page"},{"id":493719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.75350388053226,\n              43.92971440229769\n            ],\n            [\n              -122.7415087716965,\n              43.887190288238855\n            ],\n            [\n              -122.66395899829298,\n              43.84427016341337\n            ],\n            [\n              -122.6002175478517,\n              43.81357922808185\n            ],\n            [\n              -122.58780400498678,\n              43.817505597070806\n            ],\n            [\n              -122.63299488013577,\n              43.866597918811124\n            ],\n            [\n              -122.75350388053226,\n              43.92971440229769\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes, Alvaro","contributorId":359217,"corporation":false,"usgs":false,"family":"Cortes","given":"Alvaro","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Amanda M.M.","contributorId":359218,"corporation":false,"usgs":false,"family":"Pollock","given":"Amanda","middleInitial":"M.M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerth, William J.","contributorId":359219,"corporation":false,"usgs":false,"family":"Gerth","given":"William","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arismendi, Ivan","contributorId":359221,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Konstantinidis, Peter","contributorId":359224,"corporation":false,"usgs":false,"family":"Konstantinidis","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264110,"text":"70264110 - 2025 - Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346","interactions":[],"lastModifiedDate":"2025-03-07T14:06:47.659517","indexId":"70264110","displayToPublicDate":"2025-03-05T10:05:06","publicationYear":"2025","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":"Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178965","usgsCitation":"Storlazzi, C.D., Takesue, R.K., and Hendrix, A., 2025, Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346: Science of the Total Environment, v. 970, 178965, 3 p., https://doi.org/10.1016/j.scitotenv.2025.178965.","productDescription":"178965, 3 p.","ipdsId":"IP-172655","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482976,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"970","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrix, Alicia 0000-0003-3897-1788","orcid":"https://orcid.org/0000-0003-3897-1788","contributorId":351988,"corporation":false,"usgs":false,"family":"Hendrix","given":"Alicia","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":929837,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265643,"text":"70265643 - 2025 - A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle","interactions":[],"lastModifiedDate":"2025-04-14T15:10:54.100596","indexId":"70265643","displayToPublicDate":"2025-03-05T10:04:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle","docAbstract":"<p><span>Wetland restoration on agricultural land to enhance wildlife habitat through the Wetland Reserve Easement (WRE) program has substantially increased wetland area within the Lower Mississippi Alluvial Valley (LMAV). Studies assessing avian response to wetland restoration often focus on specific communities during one season such as passerines in spring or waterfowl during winter. However, there is limited information on the extent to which restored wetlands provide habitat for distinct avian communities across the annual cycle. Our objectives were to quantify the extent to which avian species richness within a wetland was congruent across seasons and evaluate site covariates associated with avian use of WREs in the LMAV across multiple seasons. We calculated avian species richness in autumn, winter, and spring at 34 WREs across the LMAV in Kentucky and Tennessee during 2019–2021. We surveyed vegetation communities to evaluate site covariates that explained variation in avian species richness across sites. Avian species richness within a site was positively correlated between autumn and spring, but neither season was correlated with winter. No single covariate explained variation in avian richness across seasons but tree diameter was positively associated with avian species richness in both winter and spring. The presence of four distinct vegetation types (remnant forest, planted forest, natural regeneration forest, and herbaceous wetlands) was positively associated with avian species richness in winter. Our results indicate avian community response to site conditions varies across seasons and can inform future wetland restoration planning in the LMAV to provide habitat across the annual cycle.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s13157-024-01869-6","usgsCitation":"Podoliak, J., Webb, E.B., and Hicks, D., 2025, A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle: Wetlands, v. 45, 30, 15 p., https://doi.org/10.1007/s13157-024-01869-6.","productDescription":"30, 15 p.","ipdsId":"IP-160805","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.05271014995013,\n              37.56907601957383\n            ],\n            [\n              -89.2461638442621,\n              36.99968696406451\n            ],\n            [\n              -90.0220790993392,\n              35.062924163396815\n            ],\n            [\n              -88.22347509705149,\n              35.10804479542381\n            ],\n            [\n              -88.05271014995013,\n              37.56907601957383\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Podoliak, J.","contributorId":353208,"corporation":false,"usgs":false,"family":"Podoliak","given":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":933162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":933163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, D.","contributorId":353211,"corporation":false,"usgs":false,"family":"Hicks","given":"D.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":933164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264164,"text":"70264164 - 2025 - Measuring polar bear health using allostatic load","interactions":[],"lastModifiedDate":"2025-03-07T15:33:46.235667","indexId":"70264164","displayToPublicDate":"2025-03-05T09:30:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Measuring polar bear health using allostatic load","docAbstract":"<p><span>The southern Beaufort Sea polar bear sub-population (</span><i>Ursus maritimus</i><span>) has been adversely affected by climate change and loss of sea ice habitat. Even though the sub-population is likely decreasing, it remains difficult to link individual polar bear health and physiological change to sub-population effects. We developed an index of allostatic load, which represents potential physiological dysregulation. The allostatic load index included blood- and hair-based analytes measured in physically captured southern Beaufort bears in spring. We examined allostatic load in relation to bear body condition, age, terrestrial habitat use and, over time, for bear demographic groups. Overall, allostatic load had no relationship with body condition. However, allostatic load was higher in adult females without cubs that used terrestrial habitats the prior year, indicating potential physiological dysregulation with land use. Allostatic load declined with age in adult females without cubs. Sub-adult males demonstrated decreased allostatic load over time. Our study is one of the first attempts to develop a health scoring system for free-ranging polar bears, and our findings highlight the complexity of using allostatic load as an index of health in a wild species. Establishing links between individual bear health and population dynamics is important for advancing conservation efforts.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coaf013","usgsCitation":"Teman, S., Atwood, T.C., Converse, S.J., Fry, T., and Laidre, K.L., 2025, Measuring polar bear health using allostatic load: Conservation Physiology, v. 13, no. 1, coaf013, 14 p., https://doi.org/10.1093/conphys/coaf013.","productDescription":"coaf013, 14 p.","ipdsId":"IP-170326","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coaf013","text":"Publisher Index Page"},{"id":483055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.59695705634383,\n              74.06388252003191\n            ],\n            [\n              -156.59695705634383,\n              69.28231129261928\n            ],\n            [\n              -140.99324520225554,\n              69.28231129261928\n            ],\n            [\n              -140.99324520225554,\n              74.06388252003191\n            ],\n            [\n              -156.59695705634383,\n              74.06388252003191\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Teman, Sarah J.","contributorId":352066,"corporation":false,"usgs":false,"family":"Teman","given":"Sarah","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":929977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":929979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":929980,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266324,"text":"70266324 - 2025 - Why the whole is greater than the sum of its parts: A case for population-level management","interactions":[],"lastModifiedDate":"2025-05-05T14:27:38.788081","indexId":"70266324","displayToPublicDate":"2025-03-05T09:26:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Why the whole is greater than the sum of its parts: A case for population-level management","docAbstract":"<p><span>Catch-and-release regulations in recreational fisheries have been implemented for decades with the intention of allowing fishing while reducing fishing mortality. In addition, voluntary catch-and-release behaviors are increasingly common. Social and scientific interest in fish handling practices in catch-and-release fisheries as they relate to stress, reflex impairment, reproductive success, and mortality has been expanding. The scientific literature is now replete with studies that examine these issues, and they have become a fixture in the public discourse on angling. Scientists and anglers are making fishing regulation proposals and suggestions for fish-handling practices. The proximal intent of these recommendations is to reduce excessive stress or mortality on a per capita basis with a belief that the reduction ultimately has a positive effect on the population. Whether the proximal intent achieves population goals depends on several factors, including effort, population dynamic rates, and stock-recruitment dynamics. This perspective reviews the state of the science relative to a hierarchical framework of fishery population dynamics, with a call for fishery scientists to consider their scope of inference and assumptions relative to conservation and population management.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae022","usgsCitation":"Corsi, M., Quist, M.C., Kozfkay, J., Roth, C., and Schill, D., 2025, Why the whole is greater than the sum of its parts: A case for population-level management, v. 50, no. 4, p. 164-171, https://doi.org/10.1093/fshmag/vuae022.","productDescription":"8 p.","startPage":"164","endPage":"171","ipdsId":"IP-166547","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/fshmag/vuae022","text":"Publisher Index Page"},{"id":485374,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Matthew P.","contributorId":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":935606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozfkay, Joseph","contributorId":275014,"corporation":false,"usgs":false,"family":"Kozfkay","given":"Joseph","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":935608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roth, Curtis J.","contributorId":274497,"corporation":false,"usgs":false,"family":"Roth","given":"Curtis J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":935609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schill, Daniel J.","contributorId":288577,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":61802,"text":"Fisheries Management Solutions","active":true,"usgs":false}],"preferred":false,"id":935610,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264020,"text":"sir20235064E - 2025 - Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70264020,"text":"sir20235064E - 2025 - Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Peak Streamflow Trends in Minnesota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2025-07-21T18:36:06.830058","indexId":"sir20235064E","displayToPublicDate":"2025-03-04T14:51:20","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"E","displayTitle":"Peak Streamflow Trends in Minnesota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","docAbstract":"<p>This report chapter summarizes the effect of hydroclimatic variability of annual peak streamflow in Minnesota and is part of a larger U.S. Geological Survey multistate study to assess potential nonstationarity in annual peak streamflows across the Midwest. Spatial and temporal patterns were examined for nonstationarity in annual peak streamflow, daily mean streamflow, and modeled climatic data in four analysis periods: (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. Upward trends in annual peak streamflow were detected in northwest to southeast and north to south directions. Downward trends in annual peak streamflow were detected in northeastern and southeastern areas. Trends in peak-flow timing indicated that peak streamflows are being detected later in the water year (the period from October 1 to September 30 designated by the year in which it ends) mainly in the southern areas and earlier in the water year mainly in the northern areas.</p><p>Changes in climate data point to wetter conditions in southern areas and drier conditions in northern areas. Annual precipitation was determined to be increasing in a northwest to southeast direction and in the east. In contrast, some areas in the north and northwest indicated decreasing annual precipitation. Annual snowfall was determined to be decreasing except in the extreme northeast, where annual snowfall was determined to be increasing. Decreases in annual potential evapotranspiration were detected in the south, and increases were detected in the north. Annual soil moisture increased in southern areas and decreased in northern and eastern areas. The potential spatial and temporal nonstationarity violations detected in the four analysis periods have important implications for flood-frequency analysis and point to the need for guidance on how to incorporate nonstationarities into future flood-frequency analysis in Minnesota.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064E","collaboration":"Prepared in cooperation with the Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Williams-Sether, T., and Sanocki, C., 2025, Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020, chap. 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/dakota-water\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of Study Area</li><li>Brief History of U.S. Geological Survey Peak-Streamflow Data Collection in Minnesota</li><li>Brief History of Statistical Analysis of Peak Streamflow and Nonstationarity</li><li>Review of Research Relating to Climatic Variability and Change</li><li>Peak-Streamflow Data and Methods</li><li>Results of Streamflow and Climatic Analyses</li><li>Implications for Flood-Frequency Analysis</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-04","noUsgsAuthors":false,"publicationDate":"2025-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanocki, Chris 0000-0001-6714-5421","orcid":"https://orcid.org/0000-0001-6714-5421","contributorId":214142,"corporation":false,"usgs":true,"family":"Sanocki","given":"Chris","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929499,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264019,"text":"sir20235064H - 2025 - Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70264019,"text":"sir20235064H - 2025 - Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064H","publicationYear":"2025","noYear":false,"chapter":"H","displayTitle":"Peak Streamflow Trends in North Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2025-07-21T18:35:10.297866","indexId":"sir20235064H","displayToPublicDate":"2025-03-04T13:21:36","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"H","displayTitle":"Peak Streamflow Trends in North Dakota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020","docAbstract":"<p>Standardized guidelines for completing flood-flow frequency analyses are presented in a U.S. Geological Survey Techniques and Methods report known as Bulletin 17C, <a data-mce-href=\"https://doi.org/10.3133/tm4B5\" href=\"https://doi.org/10.3133/tm4B5\">https://doi.org/10.3133/tm4B5</a>. In recent decades (since about 2000), a better understanding of long-term climatic persistence (periods of clustered floods or droughts, or wet or dry periods) and concerns about potential climate change and land-use change have caused a reexamination of the stationarity assumptions underlying methods in Bulletin 17C. Bulletin 17C does not offer guidance on incorporating nonstationarities and further identifies a need for flood-frequency studies that incorporate changing climate or basin characteristics. As part of that reexamination, a study of annual peak streamflow (peak flow) has begun in the Midwest. This chapter of the study summarizes how hydroclimatic variability affects peak flows in North Dakota.</p><p>In this analysis of peak flow, daily streamflow, and climate metrics, four periods were selected: (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. Output from a monthly water-balance model was used for the climate data. Statistical analysis of peak flow consisted of evaluations of autocorrelation, trends, and change points and was augmented with analyses of seasonality and daily streamflow. The long-term pattern of decreasing peak flow in the west and increasing peak flow in the east is a pattern of opposing signals on either side of the 100th meridian. Analyses indicate that a key factor in changing hydroclimatology is the increase in fall precipitation. The trends in soil moisture closely match the trends in annual precipitation. Nonstationary flood-frequency analysis necessitates detailed exploratory data analysis and additional data and information about climate, land use, and other factors. This study provides extensive exploratory analysis for peak flow, daily streamflow, and climate data for North Dakota, setting the stage for informed nonstationary flood-frequency analysis.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235064H","collaboration":"Prepared in cooperation with the Illinois Department of Transportation, Iowa Department of Transportation, Michigan Department of Transportation, Minnesota Department of Transportation, Missouri Department of Transportation, Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wisconsin Department of Transportation","usgsCitation":"Ryberg, K.R., and Williams-Sether, T., 2025, Peak streamflow trends in North Dakota and their relation to changes in climate, water years 1921–2020, chap. H <em>of</em> Ryberg, K.R., comp., Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin: U.S. Geological Survey Scientific Investigations Report 2023–5064, 80 p., https://doi.org/10.3133/sir20235064H.","productDescription":"Report: ix, 80 p.; 2 Data Releases; 1 Dataset","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164606","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":482804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5064/h/coverthb.jpg"},{"id":482811,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":482810,"rank":7,"type":{"id":30,"text":"Data 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Dakota\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/dakota-water\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>History of U.S. Geological Survey Peak-Flow Data Collection in North Dakota</li><li>History of Statistical Analysis of Peak Flow and Nonstationarity</li><li>Review of Research Relating to Climatic Variability and Change</li><li>Data</li><li>Methods</li><li>Results of Streamflow and Climate Analyses</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-04","noUsgsAuthors":false,"publicationDate":"2025-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929497,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264631,"text":"70264631 - 2025 - Preferential groundwater discharges along stream corridors are disregarded sources of greenhouse gases","interactions":[],"lastModifiedDate":"2025-03-19T13:10:38.944945","indexId":"70264631","displayToPublicDate":"2025-03-04T10:48:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Preferential groundwater discharges along stream corridors are disregarded sources of greenhouse gases","docAbstract":"<p><span>Groundwater delivery of greenhouse gases (GHGs) to stream banks and riparian areas, before mixing with surface waters, has not been well quantified. We measured preferential groundwater delivery of GHGs to stream banks within three stream reaches, and found that stream banks with discharging groundwater emitted more CO</span><sub>2</sub><span>&nbsp;and were sources of N</span><sub>2</sub><span>O compared to stream banks&nbsp;without actively discharging groundwater, which emitted less CO</span><sub>2</sub><span>&nbsp;and were N</span><sub>2</sub><span>O sinks. At one of our stream reaches, groundwater CO</span><sub>2</sub><span>&nbsp;and N</span><sub>2</sub><span>O concentrations were 1.4–19.2 and 1.1–40.6 times higher than those in surface water, respectively, and groundwater delivery rates of CO</span><sub>2</sub><span>&nbsp;and N</span><sub>2</sub><span>O were 1.5 and 1.6 times higher than surface water emissions per unit area. On average, 21% (range 0%–100%) of CO</span><sub>2</sub><span>&nbsp;and N</span><sub>2</sub><span>O were emitted at the stream bank before mixing with surface waters. Preferential groundwater GHG emissions may contribute substantially to stream corridor emissions and may be underestimated when using a channel-centric approach to estimate riverine GHG budgets.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008395","usgsCitation":"Bisson, A., Liu, F., Moore, E.M., Briggs, M., and Helton, A.M., 2025, Preferential groundwater discharges along stream corridors are disregarded sources of greenhouse gases: JGR Biogeosciences, v. 130, no. 3, e2024JG008395, 17 p., https://doi.org/10.1029/2024JG008395.","productDescription":"e2024JG008395, 17 p.","ipdsId":"IP-163066","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496384,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008395","text":"Publisher Index Page"},{"id":483477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisson, A.M.","contributorId":348580,"corporation":false,"usgs":false,"family":"Bisson","given":"A.M.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":931011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, F.","contributorId":289348,"corporation":false,"usgs":false,"family":"Liu","given":"F.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":931012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Eric M. 0000-0002-2479-2677","orcid":"https://orcid.org/0000-0002-2479-2677","contributorId":332922,"corporation":false,"usgs":false,"family":"Moore","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":79689,"text":"University of Connecticut, Department Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":931013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helton, A. M.","contributorId":93289,"corporation":false,"usgs":false,"family":"Helton","given":"A.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":931015,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}