Using environmental DNA (eDNA) surveillance methods, we report the first evidence of the persistence of the Chucky Madtom (Noturus crypticus) in Little Chucky Creek, Tennessee, which has been absent from conventional surveys since 2004, and in Dunn Creek, Tennessee, where it was last collected in 1940. This highlights the utility of eDNA for detecting cryptic, rare fish species that may persist at extremely low population densities when conventional surveys fail, as well as its effectiveness as a contemporary tool to guide targeted conventional sampling efforts; however, it is not intended to replace the ‘in hand’ detection of the species.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css69379551","usgsCitation":"Paine, R.T., Swain-Menzel, H., Rosenberger, A.E., and Velasquez, A., 2025, O Romeo! Environmental DNA could prevent a tragedy for the elusive Chucky Madtom (Noturus crypticus): Cooperator Science Series CSS-169-2025, ii, 25 p., https://doi.org/10.3996/css69379551.","productDescription":"ii, 25 p.","ipdsId":"IP-177206","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","otherGeospatial":"Dunn Creek, Little Chucky Creek, Yellow Breeched Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.25,\n 36.1667\n ],\n [\n -83.25,\n 35.65\n ],\n [\n -82.7,\n 35.65\n ],\n [\n -82.7,\n 36.1667\n ],\n [\n -83.25,\n 36.1667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Paine, Robert T.","contributorId":172099,"corporation":false,"usgs":false,"family":"Paine","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":26981,"text":"Dep't of Biology, U of Washington","active":true,"usgs":false}],"preferred":false,"id":946807,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain-Menzel, Hannah","contributorId":360115,"corporation":false,"usgs":false,"family":"Swain-Menzel","given":"Hannah","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":946808,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946809,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Velasquez, Auburn","contributorId":360406,"corporation":false,"usgs":false,"family":"Velasquez","given":"Auburn","affiliations":[],"preferred":false,"id":947015,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270757,"text":"70270757 - 2025 - Relationships between larval fish drift, time of day and discharge in an Ozark stream","interactions":[],"lastModifiedDate":"2025-08-22T15:08:31.928094","indexId":"70270757","displayToPublicDate":"2025-06-05T08:00:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2299,"text":"Journal of Freshwater Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between larval fish drift, time of day and discharge in an Ozark stream","docAbstract":"We examined the relationship between larval fish numbers and discharge during a high flow event in Bear Creek, Arkansas, a small Ozark stream. Additionally, we examined the relationship between fish numbers and time of day, and the spatial distribution of families and size classes. A total of 3,083 fish from five families were collected. Leuciscidae was the dominant family collected, followed by Percidae, and Catostomidae. Larval fish in Bear Creek were not susceptible to increased discharge from the flood event, as all three families exhibited strong significant negative relationships to discharge at night when discharge began to decline. Larval fish in Bear Creek drifted significantly more at night than during the day, with the exception of large percids, which exhibited no diel pattern. Leuciscidae and small Percidae showed a spatial pattern of distribution across the stream at night, with higher drift densities in near shore nets. The results from our study indicate that fish drift in Bear Creek was an active process, with most larval fish drifting in response to decreased light intensity. We suggest future studies consider the effects of flood intensity on larval fish drift relative to diel periodicity.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02705060.2025.2503366","collaboration":"National Park Service","usgsCitation":"Magoulick, D.D., and Graham, C.L., 2025, Relationships between larval fish drift, time of day and discharge in an Ozark stream: Journal of Freshwater Ecology, v. 40, no. 1, 2503366, 13 p., https://doi.org/10.1080/02705060.2025.2503366.","productDescription":"2503366, 13 p.","ipdsId":"IP-175362","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02705060.2025.2503366","text":"Publisher Index Page"},{"id":494520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Bear Creek, northwestern Arkansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.58624413028403,\n 36.509156092742955\n ],\n [\n -94.58624413028403,\n 34.92752982412499\n ],\n [\n -92.28745981781466,\n 34.92752982412499\n ],\n [\n -92.28745981781466,\n 36.509156092742955\n ],\n [\n -94.58624413028403,\n 36.509156092742955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Christy L.","contributorId":360381,"corporation":false,"usgs":false,"family":"Graham","given":"Christy","middleInitial":"L.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":947004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266864,"text":"sir20255006 - 2025 - Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","interactions":[],"lastModifiedDate":"2025-08-14T19:15:25.073305","indexId":"sir20255006","displayToPublicDate":"2025-06-05T07:42:27","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":"2025-5006","displayTitle":"Hydrogeology and Groundwater Quality in the Snake River Alluvial Aquifer at Jackson Hole Airport, Wyoming, 2011–20","title":"Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20","docAbstract":"The Snake River alluvial aquifer underlying the Jackson Hole Airport (JHA) in northwest Wyoming is an important source of water used for domestic, commercial, and irrigation purposes by the airport and nearby residents. The U.S. Geological Survey, in response to previously identified water-quality concerns in the area, monitored and evaluated changes in hydrogeologic characteristics and groundwater-quality conditions of the alluvial aquifer during 2011–20. During that period, the Jackson Hole Airport made several changes that potentially improved water quality at and downgradient from the airport. Well, water level, and hydrogeologic data were collected from the alluvial aquifer to identify hydrogeologic characteristic and groundwater quality changes. Additionally, results of statistical tests were applied to water-quality results to evaluate trends in selected physical properties and constituent concentrations with time. The trends of those data show that water quality did improve overall during the study period compared to previously collected data. Presumably, these trends are in response to the changes in the aircraft deicing/anti-icing fluid (ADAF) formulation used by the JHA, the many JHA infrastructure improvements made during 2011–20, the degradation of existing ADAFs in subsurface soils and groundwater, or some combination of these possibilities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255006","collaboration":"Prepared in cooperation with the Jackson Hole Airport Board","usgsCitation":"Wright, P.R., and Bartos, T.T., 2025, Hydrogeology and groundwater quality in the Snake River alluvial aquifer at Jackson Hole Airport, Wyoming, 2011–20: U.S. Geological Survey Scientific Investigations Report 2025–5006, 80 p., https://doi.org/10.3133/sir20255006.","productDescription":"Report: x, 80 p.; Appendix; Dataset","numberOfPages":"94","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143344","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":494131,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118633.htm","linkFileType":{"id":5,"text":"html"}},{"id":485857,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5006/coverthb.jpg"},{"id":485898,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255006/full"},{"id":485897,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.XML"},{"id":485863,"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":485860,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5006/images/"},{"id":485859,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2025/5006/downloads/","text":"Appendix 1—Tables 1.1 to 1.10"},{"id":485858,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5006/sir20255006.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5006"}],"country":"United States","state":"Wyoming","otherGeospatial":"Jackson Hole Airport","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.9167,\n 43.667\n ],\n [\n -110.9167,\n 43.4167\n ],\n [\n -110.667,\n 43.4167\n ],\n [\n -110.667,\n 43.667\n ],\n [\n -110.9167,\n 43.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Bozeman Avenue
Helena, MT 59601
Changes in vegetation cover are occurring across sub-Saharan Africa and can have substantial effects on ecological communities, but limited data make understanding status and trends difficult for many taxa. We surveyed birds for several decades across Uganda using point counts. Using time-to-detection analysis in a trait-informed Bayesian multi-species occupancy framework, we model bird species richness as a function of year and local tree cover across 28 sites. We test for trends in richness and occupancy, and for the relationship between these and local and landscape-scale tree cover. Species richness increased at 75% of sites through the study period, and generalist bird species were most likely to be increasing in occupancy. Forest specialist bird species, and to a lesser extent generalists, responded positively to tree cover. Woody cover is changing across Uganda, with declines most pronounced in areas with the highest tree cover. This is likely to be causing declines in forest specialist species while favouring generalists. When tree cover decline is caused by conversion to croplands, rather than transitions to grasslands, grassland specialists are unlikely to benefit. Effects of climate and land use change and population pressure are likely to continue to alter woody plant cover and thus affect East African bird communities.
","language":"English","publisher":"Wiley","doi":"10.1111/aje.70058","usgsCitation":"Burner, R.C., Adams, E.M., Pomeroy, D., Tushabe, H., Kibuule, M., Rostad, L., Venter, Z., and Sheil, D., 2025, Trends in richness and occupancy of Ugandan birds and relation to local tree cover: African Journal of Ecology, v. 63, no. 4, e70058, 21 p., https://doi.org/10.1111/aje.70058.","productDescription":"e70058, 21 p.","ipdsId":"IP-175842","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":490660,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/aje.70058","text":"Publisher Index Page"},{"id":490399,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SPBYBF","text":"USGS data release","linkHelpText":"Uganda bird trends"},{"id":490194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uganda","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.86617,-1.02736],[30.76986,-1.01455],[30.4191,-1.13466],[29.82152,-1.44332],[29.57947,-1.34131],[29.58784,-0.58741],[29.8195,-0.2053],[29.87578,0.59738],[30.08615,1.06231],[30.46851,1.58381],[30.85267,1.8494],[31.17415,2.20447],[30.77332,2.33989],[30.83385,3.50917],[31.24556,3.7819],[31.88145,3.55827],[32.68642,3.79232],[33.39,3.79],[34.005,4.24988],[34.47913,3.5556],[34.59607,3.05374],[35.03599,1.90584],[34.6721,1.17694],[34.18,0.515],[33.89357,0.10981],[33.90371,-0.95],[31.86617,-1.02736]]]},\"properties\":{\"name\":\"Uganda\"}}]}","volume":"63","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Burner, Ryan C. 0000-0002-7314-9506","orcid":"https://orcid.org/0000-0002-7314-9506","contributorId":304152,"corporation":false,"usgs":true,"family":"Burner","given":"Ryan","email":"","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":939320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":939321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pomeroy, Derek","contributorId":356400,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Derek","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tushabe, Herbert","contributorId":356401,"corporation":false,"usgs":false,"family":"Tushabe","given":"Herbert","affiliations":[{"id":84992,"text":"Department of Environment Management, Makerere University, Kampala, Uganda","active":true,"usgs":false}],"preferred":false,"id":939323,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kibuule, Micheal","contributorId":356402,"corporation":false,"usgs":false,"family":"Kibuule","given":"Micheal","affiliations":[{"id":84995,"text":"NatureUganda","active":true,"usgs":false}],"preferred":false,"id":939324,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rostad, Lars Jørgen","contributorId":356403,"corporation":false,"usgs":false,"family":"Rostad","given":"Lars Jørgen","affiliations":[{"id":84996,"text":"Norconsult AS","active":true,"usgs":false}],"preferred":false,"id":939325,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Venter, Zander S.","contributorId":356404,"corporation":false,"usgs":false,"family":"Venter","given":"Zander S.","affiliations":[{"id":84997,"text":"wegian Institute for Nature Research - NINA","active":true,"usgs":false}],"preferred":false,"id":939326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sheil, Douglas","contributorId":356405,"corporation":false,"usgs":false,"family":"Sheil","given":"Douglas","affiliations":[{"id":84998,"text":"Forest Ecology and Forest Management Group, Wageningen University and Research, Wageningen, Netherlands","active":true,"usgs":false}],"preferred":false,"id":939327,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267972,"text":"70267972 - 2025 - Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","interactions":[],"lastModifiedDate":"2025-07-10T14:52:39.543071","indexId":"70267972","displayToPublicDate":"2025-06-04T09:28:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations","docAbstract":"The establishment of a reservoir species for zoonotic diseases is concerning for both animal and human health. Severe acute respiratory syndrome coronavirus (SARS-CoV)-2, the coronavirus responsible for the COVID-19 pandemic, has been detected in white-tailed deer (Odocoileus virginianus) in the United States. Since its initial detection, various studies have documented circulation and evolution of SARS-CoV-2 in deer, with human cases suspected of spill-back from infectious deer. A priority for mitigating SARS-CoV-2 outbreaks in deer populations is determining the contribution of direct (via aerosols and physical contact) and indirect (via contaminated objects and media) transmission pathways. We expanded existing epidemiological models founded on direct transmission pathways to include three indirect transmission pathways of infection for simulated deer populations, including contaminated water, food waste, and feed piles. Despite lower infection probabilities and transmission hazards (measured by force-of-infection (FOI)) posed solely by these indirect pathways compared to direct transmission pathways, the addition of indirect transmission pathways increased FOI, which had ramifications for the severity of SARS-CoV-2 outbreaks in simulated deer populations, particularly in populations with low degrees of spread between deer (measured by basic reproductive number; R0). We used contact rate models to estimate SARS-CoV-2 spread across deer range in the United States and identified widespread potential for indirect transmission to increase the severity of outbreaks in low-density deer populations. These results indicate that indirect transmission pathways need to be considered in the management of white-tailed deer as a reservoir species for SARS-CoV-2.
","language":"English","publisher":"Wiley","doi":"10.1155/tbed/1352911","usgsCitation":"Rosenblatt, E., Cook, J.D., DiRenzo, G.V., Campbell Grant, E.H., Runge, M.C., and Mosher, B., 2025, Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer (Odocoileus virginianus) populations: Transboundary and Emerging Diseases, v. 2025, 352911, 13 p., https://doi.org/10.1155/tbed/1352911.","productDescription":"352911, 13 p.","ipdsId":"IP-166277","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490309,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490627,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/tbed/1352911","text":"Publisher Index Page"},{"id":491310,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P19KKRVV","text":"USGS data release","linkHelpText":"Code for Fomites could determine severity of SARS-CoV-2 outbreaks in low-density white-tailed deer Odocoileus virginianus populations"}],"volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenblatt, Elias","contributorId":276324,"corporation":false,"usgs":false,"family":"Rosenblatt","given":"Elias","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":939832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Jonathan D. 0000-0001-7000-8727","orcid":"https://orcid.org/0000-0001-7000-8727","contributorId":291411,"corporation":false,"usgs":true,"family":"Cook","given":"Jonathan","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":939833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939835,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939836,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mosher, Brittany 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":216035,"corporation":false,"usgs":true,"family":"Mosher","given":"Brittany","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":939837,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268007,"text":"70268007 - 2025 - Observing northern high-latitude river systems to understand changes in a warming Arctic","interactions":[],"lastModifiedDate":"2025-06-11T14:08:41.105155","indexId":"70268007","displayToPublicDate":"2025-06-04T09:03:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5763,"text":"Current Climate Change Reports","active":true,"publicationSubtype":{"id":10}},"title":"Observing northern high-latitude river systems to understand changes in a warming Arctic","docAbstract":"Streams and rivers are undergoing rapid change as the Arctic warms and thaws. We review recent observations in Arctic stream systems to identify ubiquitous changes and the most useful tools for observing change and exploring the underlying processes.
Recent literature indicates increasingly significant trends in river hydrology and chemistry due to persistent warming in the Arctic and longer observational records for analysis. However, regional differences in the magnitude and direction of these trends persist. We also observe thresholds in ground thaw and surface–groundwater interactions that can impact river hydrology and chemistry.
Warming and thaw are occurring rapidly at high latitudes, resulting in increasing, yet variable responses in stream systems across regions and scales. These differences highlight the need for long-term records and an interdisciplinary approach to explain trends and predict future states. Stream systems respond to multiple landscape changes related to hydrology (changing precipitation and subsurface flow), geology (ground thaw dynamics), and ecology (vegetation change).
","language":"English","publisher":"Springer Nature","doi":"10.1007/s40641-025-00202-5","usgsCitation":"Koch, J.C., and O’Donnell, J.A., 2025, Observing northern high-latitude river systems to understand changes in a warming Arctic: Current Climate Change Reports, v. 11, 5, 11 p., https://doi.org/10.1007/s40641-025-00202-5.","productDescription":"5, 11 p.","ipdsId":"IP-173848","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40641-025-00202-5","text":"Publisher Index Page"},{"id":490362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":939950,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Donnell, J. A.","contributorId":195376,"corporation":false,"usgs":false,"family":"O’Donnell","given":"J.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":939951,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70269782,"text":"70269782 - 2025 - Two new species of Henneguya Thélohan, 1892 (Cnidaria: Bivalvulida: Myxobolidae) infecting gill of blue catfish, Ictalurus furcatus (Rafinesque) (Siluriformes: Ictaluridae) from the Tallapoosa River and Chesapeake Bay tributaries","interactions":[],"lastModifiedDate":"2025-08-01T13:46:08.160355","indexId":"70269782","displayToPublicDate":"2025-06-04T08:40:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2414,"text":"Journal of Parasitology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Two new species of Henneguya Thélohan, 1892 (Cnidaria: Bivalvulida: Myxobolidae) infecting gill of blue catfish, Ictalurus furcatus (Rafinesque) (Siluriformes: Ictaluridae) from the Tallapoosa River and Chesapeake Bay tributaries","title":"Two new species of Henneguya Thélohan, 1892 (Cnidaria: Bivalvulida: Myxobolidae) infecting gill of blue catfish, Ictalurus furcatus (Rafinesque) (Siluriformes: Ictaluridae) from the Tallapoosa River and Chesapeake Bay tributaries","docAbstract":"We herein describe 2 new species of Henneguya Thélohan, 1892 (Bivalvulida: Myxobolidae), Henneguya auburnensis Ksepka and Bullard n. sp. and Henneguya chesapeakensis Ksepka, Walsh, and Bullard n. sp., infecting the inter-lamellar epithelium of cultured blue catfish (Ictalurus furcatus [Valenciennes, 1840] [Siluriformes: Ictaluridae]) from Saugahatchee Creek (Tallapoosa River; Auburn, Alabama) and the inter-lamellar epithelium of invasive blue catfish captured in Chesapeake Bay tributaries, respectively. Henneguya auburnensis resembles Henneguya mississippiensis Rosser, Griffin, Quiniou, Khoo, Greenway, Wise, and Pote, 2015, and Henneguya sutherlandi Griffin, Pote, Wise, Greenway, Mauel, and Camus, 2008, which both infect channel catfish (Ictalurus punctatus [Rafinesque, 1818] [Siluriformes: Ictaluridae]) in Mississippi, but differs from these species by having more polar tubule coils (10–12 vs. 8–9 and 6, respectively). Henneguya chesapeakensis resembles Henneguya longicauda Minchew, 1977, which infects channel catfish in Mississippi, but differs from this species by having shorter polar capsules (6.0–7.0 vs. 7.0–9.0). A phylogenetic analysis of the small subunit (SSU) rDNA recovered ictalurid-infecting Henneguya spp. as monophyletic, with H. auburnensis sister to a clade of Henneguya spp. that, except for H. chesapeakensis, infect the gill or adipose fin of channel catfish. Henneguya chesapeakensis was recovered sister to Henneguya ictaluri Pote, Hanson, and Shivaji, 2000. Histological sections of infected gill filaments revealed that the plasmodia of both new species developed within the inter-lamellar epithelium. The new species comprise the second and third species of Henneguya reported from blue catfish.
","language":"English","publisher":"BioOne","doi":"10.1645/24-141","usgsCitation":"Ksepka, S., Walsh, H.L., Densmore, C., Truong, T., and Bullard, S., 2025, Two new species of Henneguya Thélohan, 1892 (Cnidaria: Bivalvulida: Myxobolidae) infecting gill of blue catfish, Ictalurus furcatus (Rafinesque) (Siluriformes: Ictaluridae) from the Tallapoosa River and Chesapeake Bay tributaries: Journal of Parasitology, v. 111, no. 3, p. 287-297, https://doi.org/10.1645/24-141.","productDescription":"11 p.","startPage":"287","endPage":"297","ipdsId":"IP-172140","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":493336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"111","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ksepka, Steven","contributorId":358956,"corporation":false,"usgs":false,"family":"Ksepka","given":"Steven","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":944615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":944616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Christine","contributorId":343448,"corporation":false,"usgs":false,"family":"Densmore","given":"Christine","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":944617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Truong, Triet","contributorId":358958,"corporation":false,"usgs":false,"family":"Truong","given":"Triet","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":944618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bullard, Stephen","contributorId":358961,"corporation":false,"usgs":false,"family":"Bullard","given":"Stephen","affiliations":[{"id":85725,"text":"Auburn University and North-West University South Africa","active":true,"usgs":false}],"preferred":false,"id":944619,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70268931,"text":"70268931 - 2025 - Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.","interactions":[],"lastModifiedDate":"2025-07-11T15:43:07.67574","indexId":"70268931","displayToPublicDate":"2025-06-04T08:34:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.","docAbstract":"Wildlife management in the United States of America (US) is primarily delegated to the individual states wherein state wildlife agencies manage wildlife populations to achieve multiple and sometimes conflicting objectives. White-tailed deer (Odocoileus virginianus) are an important species in the Midwestern US whose populations are primarily managed through recreational hunting. Managers aim to adjust populations by altering the harvest of antlerless (usually female) animals by changing the number of harvest permits available, hunting season lengths, or applying incentive programs like earn-a-buck, where a hunter must harvest an antlerless deer before they may harvest an antlered deer. We estimated the effect on antlerless deer harvest from changes in these regulations and changes in the number of licensed hunters across eight states in the Midwest. We used a Bayesian hierarchical model to estimate individual state and regional (i.e., across all states) effects. We found that increasing antlerless harvest permits increased antlerless harvest; however, this effect plateaued as the number of available permits increased. Providing unlimited harvest permits increased harvest, but the same increases were achieved by minimally increasing the number of limited harvest permits. Increasing the length of hunting season had a generally positive effect on antlerless harvest but the effect was non-linear and state dependent. The earn-a-buck incentive program resulted in the largest estimated increase in harvest. Finally, the number of licensed deer hunters in a state had a strong positive effect on the number of antlerless deer harvested. Our findings show that commonly applied changes in harvest regulations have a weak effect on the number of antlerless deer harvested, highlighting the challenges facing deer managers in the Midwestern US.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0324708","usgsCitation":"Draper, J., Brandell, E., Isabelle, J., Jacques, C., McCoy, C., Michel, E., Storm, D., Ott-Conn, C., Wojcik, B., Turner, W.C., and Walsh, D.P., 2025, Doe diligence: A regional analysis of antlerless deer harvest regulations in the Midwestern United States of America.: PLoS ONE, v. 20, no. 6, e0324708, 16 p., https://doi.org/10.1371/journal.pone.0324708.","productDescription":"e0324708, 16 p.","ipdsId":"IP-174116","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0324708","text":"Publisher Index Page"},{"id":492150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Ohio, 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(08279500)","interactions":[],"lastModifiedDate":"2025-09-02T17:05:28.861385","indexId":"gip253","displayToPublicDate":"2025-06-03T12:13:10","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"253","displayTitle":"U.S. Geological Survey Monitoring Milestones—Rio Grande at Embudo, NM (08279500)","title":"U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500)","docAbstract":"Located at the site of the first U.S. Geological Survey (USGS) training camp for hydrographers, the Rio Grande at Embudo, NM (08279500), streamgage has been collecting water data since January 1889. The development and adaptation of equipment and techniques at this location became the foundation of USGS streamgaging methods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip253","usgsCitation":"Bunch, C.E. and Riskin, M.L., 2025, U.S. Geological Survey monitoring milestones—Rio Grande at Embudo, NM (08279500): U.S. Geological Survey General Information Product 253, https://doi.org/10.3133/gip253.","productDescription":"1 p.","onlineOnly":"Y","ipdsId":"IP-173786","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489509,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/253/gip253.pdf","text":"Report","size":"719 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 253"},{"id":489508,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/253/coverthb.jpg"}],"country":"United States","state":"New Mexcio","city":"Embudo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.95294116853054,\n 36.21108389143059\n ],\n [\n -105.96424309566731,\n 36.209667097572975\n ],\n [\n -105.96925553227872,\n 36.201629529647946\n ],\n [\n -105.95884754288156,\n 36.204643715877324\n ],\n [\n -105.95294116853054,\n 36.21108389143059\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"National Streamgage Networks Coordinator
Observing Systems Division
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U.S. Geological Survey
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California's Central Valley is increasingly vulnerable to winter floods. A comprehensive spatial baseline of flood extents is critical for inundation analyses that can enhance future flood predictions, but cloud cover has prevented the regular observation of surface water extents with optical satellite imagery. In this study, we leveraged the daily resolution of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data to create a continuous series of monthly Dynamic Surface Water Extent (DSWEmod) images across the Central Valley from January 2003 to January 2023. We used the timeseries to assess the climatic driving forces of winter (Oct–April) surface water variability at sub-basin and pixel scales. At the sub-basin scale, we evaluated the influences of winter precipitation, occurrence of atmospheric rivers, and antecedent soil moisture on monthly surface water extents and found that the greatest correspondence occurs in mid-winter (Dec–Feb); in contrast, non-precipitation drivers such as water management play a stronger role in autumn and spring. The pixel-level analysis identified the probabilities of precipitation-driven surface water occurrences in the Sacramento basin are highest along rivers, conveyance channels, and floodways, with higher probabilities under wetter antecedent soil moisture conditions. Precipitation-driven surface water occurrences are also common in leveed areas and outside flood boundaries designated by state and federal agencies where exposure of structures to inundation was larger in terms of their value. Finally, areas with more frequent precipitation-driven flooding have poor recharge potential but are commonly within 5 km of areas classified as having good potential. This study demonstrates a novel approach for exploring the utility of MODIS for understanding surface water dynamics in mid-winter, a period characterized by peak precipitation, flood risk, and surface water extent. This information can provide valuable insights for (1) assessing flood risks for infrastructure and populations, (2) identifying areas most suited to strategic water management investments to increase recharge, and (3) analyzing precipitation thresholds that trigger flooding to allow proactive water management strategies to minimize damage and maximize recharge.
","language":"English","publisher":"Wiley","doi":"10.1111/jfr3.70080","usgsCitation":"Albano, C.M., Soulard, C.E., Minor, B., Walker, J., Smith, B.W., Waller, E.K., Bartles, M., Corringham, T., O'Geen, A., Rohde, M., and Wein, A., 2025, Assessing causes and consequences of winter surface water dynamics in California’s Central Valley using satellite remote sensing: Journal of Flood Risk Management, v. 18, no. 2, e70080, 14 p., https://doi.org/10.1111/jfr3.70080.","productDescription":"e70080, 14 p.","ipdsId":"IP-174164","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":491009,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfr3.70080","text":"Publisher Index Page"},{"id":489692,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central 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M.","contributorId":356363,"corporation":false,"usgs":false,"family":"Rohde","given":"Melissa M.","affiliations":[{"id":84975,"text":"Rohde Environmental Consulting LLC, Seattle, WA, USA","active":true,"usgs":false}],"preferred":false,"id":939198,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":939199,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70268298,"text":"70268298 - 2025 - Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation","interactions":[],"lastModifiedDate":"2025-06-20T14:33:11.624655","indexId":"70268298","displayToPublicDate":"2025-06-03T09:30:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation","docAbstract":"Biodiversity and its associated genetic diversity are being lost at an unprecedented rate. Simultaneously, the distributions of flora, fauna, fungi, microbes and pathogens are rapidly changing. Novel technology can help to capture and record genetic diversity before it is lost and to measure population shifts and pathogen distributions. Here we report the rapid application of shotgun long-read environmental DNA (eDNA) analysis for non-invasive biodiversity, genetic diversity and pathogen assessments from air. We also compared air eDNA with water and soil eDNA. Coupling long-read sequencing with established cloud-based biodiversity pipelines enabled a 2-day turnaround from airborne sample collection to completed analysis by a single investigator. To determine the full utility of airborne eDNA, we also conducted a local bioinformatic analysis and deep short-read shotgun sequencing. From outdoor air eDNA alone, comprehensive genetic analysis was performed, including population genetics (phylogenetic placement) of a charismatic mammal (bobcat, Lynx rufus) and a venomous spider (golden silk orb weaver, Trichonephila clavipes), and haplotyping humans (Homo sapiens) from natural complex community settings, such as subtropical forests and temperate locations. The rich datasets also enabled deeper analysis of specific species and genomic regions of interest, including viral variant calling, human variant analysis and antimicrobial resistance gene surveillance from airborne DNA. Our results highlight the speed, versatility and specificity of pan-biodiversity monitoring via non-invasive eDNA sampling using current benchtop/portable and cloud-based approaches. Furthermore, they reveal the future feasibility of scaling down (equipment and temporally) these approaches for near real-time analysis. Together these approaches can enable rapid simultaneous detection of all life and its genetic diversity from air, water and sediment samples for unbiased non-targeted information-rich genomics-empowered (1) biodiversity monitoring, (2) population genetics, (3) pathogen and disease-vector genomic surveillance, (4) allergen and narcotic surveillance, (5) antimicrobial resistance surveillance and (6) bioprospecting.
","language":"English","publisher":"Nature","doi":"10.1038/s41559-025-02711-w","usgsCitation":"Nousias, O., Mccauley, M., Stammnitz, M., Farrell, J.A., Koda, S., Summers, V., Eastman, C., Duffy, F., Duffy, I., Whilde, J., and Duffy, D.J., 2025, Shotgun sequencing of airborne eDNA achieves rapid assessment of whole biomes, population genetics and genomic variation: Nature Ecology & Evolution, v. 9, no. 6, p. 1043-1060, https://doi.org/10.1038/s41559-025-02711-w.","productDescription":"18 p.","startPage":"1043","endPage":"1060","ipdsId":"IP-163401","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":491445,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41559-025-02711-w","text":"Publisher Index 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R.","contributorId":357084,"corporation":false,"usgs":false,"family":"Stammnitz","given":"Maximilian R.","affiliations":[{"id":85333,"text":"Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":940721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farrell, Jessica A.","contributorId":340572,"corporation":false,"usgs":false,"family":"Farrell","given":"Jessica","email":"","middleInitial":"A.","affiliations":[{"id":81632,"text":"Florida Atlantic University Harbor Branch Oceanographic Institute","active":true,"usgs":false}],"preferred":false,"id":940722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koda, Samantha A.","contributorId":357085,"corporation":false,"usgs":false,"family":"Koda","given":"Samantha A.","affiliations":[{"id":85334,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA","active":true,"usgs":false}],"preferred":false,"id":940723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Summers, Victoria","contributorId":357086,"corporation":false,"usgs":false,"family":"Summers","given":"Victoria","affiliations":[{"id":85334,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA","active":true,"usgs":false}],"preferred":false,"id":940724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eastman, Catherine B.","contributorId":357087,"corporation":false,"usgs":false,"family":"Eastman","given":"Catherine B.","affiliations":[{"id":85335,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA.","active":true,"usgs":false}],"preferred":false,"id":940725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duffy, Fiona G.","contributorId":357088,"corporation":false,"usgs":false,"family":"Duffy","given":"Fiona G.","affiliations":[{"id":85334,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA","active":true,"usgs":false}],"preferred":false,"id":940726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duffy, Isabelle J.","contributorId":357089,"corporation":false,"usgs":false,"family":"Duffy","given":"Isabelle J.","affiliations":[{"id":85335,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA.","active":true,"usgs":false}],"preferred":false,"id":940727,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Whilde, Jenny","contributorId":357090,"corporation":false,"usgs":false,"family":"Whilde","given":"Jenny","affiliations":[{"id":85335,"text":"The Whitney Laboratory for Marine Bioscience and Sea Turtle Hospital, University of Florida, St. Augustine, Florida 32080, USA.","active":true,"usgs":false}],"preferred":false,"id":940728,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duffy, David J.","contributorId":340574,"corporation":false,"usgs":false,"family":"Duffy","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":940729,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70269296,"text":"70269296 - 2025 - New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon","interactions":[],"lastModifiedDate":"2025-07-18T14:34:21.386482","indexId":"70269296","displayToPublicDate":"2025-06-03T09:27:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon","docAbstract":"Understanding population genetic structure and patterns of gene flow is important for effective decision making and the preservation of genetic diversity, especially when managing protected species. Historically, Gulf sturgeon have been managed by river system, with early evidence supporting spatially distinct genetic structure across 7 natal populations. However, an increasing number of studies recognize that some rivers possess 2 genetically distinct sturgeon stocks residing within the same drainage. This, combined with evidence of both spring and fall spawning events within these drainages, suggests the distinction between these stocks may be temporally mediated, as similarly exhibited by the closely related Atlantic sturgeon. We analyzed the movements of 136 Gulf sturgeon within the Suwannee River, Florida, USA, between 2008 and 2022 using acoustic telemetry. We assessed migratory patterns and presence within known spawning habitat to categorize individuals as exhibiting either spring, fall, or unknown spawning behaviors each year. These individuals were also genotyped for 14 microsatellite loci to assign them to a genetic group. Our results reinforce previous work suggesting the presence of 2 genetically distinct stocks in the Suwannee River and indicate this genetic structure is driven by fidelity to temporally distinct spawning events, with one stock spawning in the spring and the other in fall. The delineation of these 2 sympatric stocks, historically managed as one, has management implications for the recovery of this species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01418","usgsCitation":"Price, M.E., Kreiser, B., and Randall, M.T., 2025, New insights reveal a temporally distinct two-stock genetic structure for Suwannee River Gulf sturgeon: Endangered Species Research, v. 57, p. 289-298, https://doi.org/10.3354/esr01418.","productDescription":"10 p.","startPage":"289","endPage":"298","ipdsId":"IP-167683","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":492863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01418","text":"Publisher Index Page"},{"id":492535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia","otherGeospatial":"Apalachicola River, Ochlockonee River, Suwannee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.5,\n 31.2\n ],\n [\n -85.5,\n 29\n ],\n [\n -82,\n 29\n ],\n [\n -82,\n 31.2\n ],\n [\n -85.5,\n 31.2\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","noUsgsAuthors":false,"publicationDate":"2025-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Price, Melissa E. 0000-0002-4276-0855 mprice@usgs.gov","orcid":"https://orcid.org/0000-0002-4276-0855","contributorId":5875,"corporation":false,"usgs":true,"family":"Price","given":"Melissa","email":"mprice@usgs.gov","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":943382,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiser, Brian","contributorId":210007,"corporation":false,"usgs":false,"family":"Kreiser","given":"Brian","affiliations":[{"id":38045,"text":"University of Southern Mississippi, Department of Biological Sciences, Hattiesburg, MS 39406","active":true,"usgs":false}],"preferred":false,"id":943383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Randall, Michael T. 0000-0001-8805-0886 mrandall@usgs.gov","orcid":"https://orcid.org/0000-0001-8805-0886","contributorId":3127,"corporation":false,"usgs":true,"family":"Randall","given":"Michael","email":"mrandall@usgs.gov","middleInitial":"T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":943384,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268776,"text":"70268776 - 2025 - Long-term surgery survival, body condition effects, and incision healing of Silver Carp and buffalo species comparing sedation methods across seasons","interactions":[],"lastModifiedDate":"2025-08-04T15:55:57.902628","indexId":"70268776","displayToPublicDate":"2025-06-03T09:25:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21984,"text":"Transactions of the American Fishery Society","active":true,"publicationSubtype":{"id":10}},"title":"Long-term surgery survival, body condition effects, and incision healing of Silver Carp and buffalo species comparing sedation methods across seasons","docAbstract":"Internal tagging for telemetry studies requires invasive surgery procedures, necessitating sufficient sedation to support animal welfare. Challenges with existing chemical sedatives have resulted in technological alternatives, including electrosedation, with these newer methods less extensively studied. Our primary objective was to understand long-term survival, body-condition effects, and incision healing after surgical implantation of an imitation telemetry transmitter under three different sedation techniques.
We collected Silver Carp Hypophthalmichthys molitrix and buffalo Ictiobus spp. from the Missouri River watershed in 2022 and 2023, during each of the four seasons. One of three sedation techniques was applied: electric fish handling gloves, tricaine methanesulfonate (MS-222), and eugenol. Additionally, we observed a group of fish that were unsedated but subjected to handling similar to that experienced during surgery. Fish were monitored to determine the effects of treatment, individual characteristics, surgery characteristics, and time-varying environmental factors on survival, body condition, and incision healing over 69- to 85-d holding periods.
Long-term survival was higher for buffalo (86%) than Silver Carp (57%), with the fewest mortalities during the winter trial and most in summer, but sedation treatment did not affect survival. Smaller fish had a greater risk of mortality but better incision healing. Incision healing scores improved in warmer temperatures.
Difference in seasonal effects on survival and healing indicate a need to consider trade-offs when scheduling tagging for projects. However, a lack of difference in survival among treatments, including the group that was handled but did not undergo surgery, suggests no advantage of one sedative over another, but handling impacts may require more consideration.
Between 2018 and 2023, the U.S. Geological Survey assessed shoreface sediment availability at three Atlantic Coast barrier island study sites in support of a National Fish and Wildlife Foundation project entitled, “Monitoring Hurricane Sandy Beach and Marsh Resilience in New York and New Jersey.” The three study sites are Seven Mile Island, New Jersey, Rockaway Beach peninsula, New York, and Fire Island, N.Y. Previously interpreted geologic boundaries from shoreface geophysical surveys and data from repeat bathymetric surveys at each of the study sites were integrated to quantify the active sediment volume, or the volume of sediment that could contribute to beach and shoreline behavior over annual to decadal time scales. This report describes the methods used to calculate these volumes and the variability of active sediment volume for each survey at the three study sites. Our data show that when shoreface volumes account for varying alongshore extent of each study site, Seven Mile Island and Rockaway Beach peninsula have about 1.5 times the active sediment volume measured at Fire Island.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1211","issn":"2771-9448","collaboration":"Prepared in cooperation with the National Fish and Wildlife Foundation","programNote":"Natural Hazards Mission Area Coastal/Marine Hazards and Resources Program","usgsCitation":"Buster, N.A., Miselis, J.L., Wei, E.A., and Forde, A.S., 2025, Assessment of active sand volumes at Rockaway Beach and Fire Island in New York and Seven Mile Island in New Jersey: U.S. Geological Survey Data Report 1211, 19 p., https://doi.org/10.3133/dr1211.","productDescription":"Report: vii, 19 p.; 11 Data Releases","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-164731","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":486345,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P07T3W","text":"USGS Data Release","linkHelpText":"- Coastal single-beam 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from Rockaway Peninsula, New York"},{"id":486337,"rank":14,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PY4RR0","text":"USGS Data Release","linkHelpText":"- Archive of chirp subbottom profile data collected in 2022 from Seven Mile Island, New Jersey"},{"id":486335,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q8TVHH","text":"USGS Data Release","linkHelpText":"- Archive of chirp subbottom profile data collected in June 2018 from Fire Island, New York"}],"country":"United States","state":"New York, New Jersey","otherGeospatial":"Fire Island, Rockaway Beach, Seven Mile Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.6667,\n 39.1667\n ],\n [\n -74.95334779374377,\n 39.1667\n ],\n [\n -74.95334779374377,\n 39\n ],\n [\n -74.6667,\n 39\n ],\n [\n -74.6667,\n 39.1667\n ]\n ]\n ],\n \"type\": 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}\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
Contact Us- USGS Publications Warehouse
","tableOfContents":"The interplay of disturbance and stability drives vegetation dynamics. Disturbance reduces vegetation biomass, and stability fosters its development. In riparian systems, natural disturbance is largely manifested through flood-driven fluvial processes, but other forms of disturbance, such as herbivory or fire, may influence vegetation dynamics. We studied the successional trajectories of plant communities following a 40-year flood in 2010 that significantly changed floodplain vegetation along the lower Virgin River (southwestern USA). Shortly (0–2 years) after this flood, another large disturbance event of a different nature occurred: extensive defoliation and some mortality of alien Tamarix shrubs (which dominated vegetation cover at that time in the study area) by a biological control beetle. In 2021, we resampled vegetation and topography in 439 plots that we previously monitored in 2010, 2012, 2015, and 2017 along 23 transects across five river reaches. Between 2015 and 2021, stability predominated, with only small floods (1.5- to 3-year) and limited Tamarix defoliation. By 2021, plant communities were converging, but persistent divergences existed and were associated with legacy effects of fluvial disturbance and defoliation. Native Pluchea sericea shrubs had the highest cover across all fluvial landforms. Tamarix partially recovered from defoliation, but only reached similar cover to P. sericea in plots less affected by the 40-year flood. Native Populus fremontii, Prosopis pubescens, and Salix gooddingii trees, and Salix exigua shrubs, remained subordinate. Our study illustrates how successional trajectories in riparian systems depend on the nature and regime of disturbance and its legacy effects on vegetation.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4422","usgsCitation":"González-Sargas, E., Lee, S.R., Perry, L.G., and Shafroth, P., 2025, Legacies of a large flood and biological control on riparian vegetation successional trajectories along a dryland braided river: River Research and Applications, v. 41, no. 5, p. 1169-1185, https://doi.org/10.1002/rra.4422.","productDescription":"17 p.","startPage":"1169","endPage":"1185","ipdsId":"IP-170124","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, Utah","otherGeospatial":"Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.19720582198697,\n 37.07102313333917\n ],\n [\n -114.19720582198697,\n 36.74753892653335\n ],\n [\n -113.82726177557198,\n 36.74753892653335\n ],\n [\n -113.82726177557198,\n 37.07102313333917\n ],\n [\n -114.19720582198697,\n 37.07102313333917\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"González-Sargas, Eduardo","contributorId":349720,"corporation":false,"usgs":false,"family":"González-Sargas","given":"Eduardo","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":939064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Steven R. 0000-0002-4581-3684 srlee@usgs.gov","orcid":"https://orcid.org/0000-0002-4581-3684","contributorId":5630,"corporation":false,"usgs":true,"family":"Lee","given":"Steven","email":"srlee@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":939065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Laura G.","contributorId":220048,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":939066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939067,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267805,"text":"sir20255046 - 2025 - Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","interactions":[],"lastModifiedDate":"2025-06-03T14:45:40.689322","indexId":"sir20255046","displayToPublicDate":"2025-06-02T13:00:00","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":"2025-5046","displayTitle":"Evaluation of Passive Samplers for Cyanotoxin Detection by Immunoassay and Chromatographic-Mass Spectrometry","title":"Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry","docAbstract":"Harmful algal blooms, particularly cyanobacterial harmful algal blooms, threaten aquatic ecosystems, drinking water supplies, and recreational resources. In 2019, the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, deployed solid phase adsorption toxin tracking (SPATT) samplers in Seneca Lake, Owasco Lake, and Skaneateles Lake to monitor the cyanotoxins microcystins, cylindrospermopsins, anatoxins, and saxitoxins. SPATT samplers can passively adsorb dissolved cyanotoxins over time, providing time-integrated data capable of detecting low concentrations of cyanotoxins that traditional discrete sampling may miss. SPATT samples were analyzed using enzyme-linked immunosorbent assay (ELISA), liquid chromatography with mass spectrometry (LC–MS), and with tandem mass spectrometry (LC–MS/MS). The effects of ELISA-required preservative on measurements by mass spectrometry methods were also evaluated.
SPATT samplers consistently detected microcystins and anatoxins more frequently than concurrent discrete sampling. ELISA results often showed higher cyanotoxin concentrations than LC–MS/MS, likely due to interference from dissolved organic matter and the ability of ELISA to detect a broader range of congeners. The addition of preservative influenced results for some analytes, particularly microcystins, which showed higher concentrations in preserved samples. Limitations in ELISA methods for cylindrospermopsins and saxitoxins were identified, potentially related to cross-reactivity, low sensitivity, or other matrix interferences. This study demonstrates the utility of SPATT samplers in capturing cyanotoxin variability, especially in environments with low cyanotoxin levels or ephemeral blooms. Further research could help improve the reliability of ELISA and other analytical methods in freshwater ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255046","usgsCitation":"Johnston, B.D., Stouder, M.D.W., Gorney, R.M., Rosen, J.J., Carpenter, K.D., Wei, B., and Boyer, G.L., 2025, Evaluation of passive samplers for cyanotoxin detection by immunoassay and chromatographic-mass spectrometry: U.S. Geological Survey Scientific Investigations Report 2025–5046, 37 p., https://doi.org/10.3133/sir20255046.","productDescription":"Report: vii, 37 p.; Data Release; Dataset","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-155470","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":489336,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5046/coverthb.jpg"},{"id":489341,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OZR89E","text":"USGS data release","linkHelpText":"Cyanotoxin concentrations in extracts from solid phase adsorption toxin tracking (SPATT) and diffusive gradients in thin-films (DGT) samplers in Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2019"},{"id":489337,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5046/sir20255046.pdf","text":"Report","size":"3.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5046 PDF"},{"id":489338,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255046/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5046 HTML"},{"id":489340,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5046/images/"},{"id":489342,"rank":7,"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":489339,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5046/sir20255046.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5046 XML"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.6117637558914,\n 43.06229154077565\n ],\n [\n -77.6117637558914,\n 42.20716570269167\n ],\n [\n -75.94026793939489,\n 42.20716570269167\n ],\n [\n -75.94026793939489,\n 43.06229154077565\n ],\n [\n -77.6117637558914,\n 43.06229154077565\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
A geometric accuracy assessment of lidar data collected in eastern Iowa in 2019 as part of the 3D Elevation Program (3DEP) was conducted. The assessment involved evaluating interswath accuracy, same surface precision, point density, absolute accuracy, and consistency with adjacent 3DEP datasets. The results demonstrate that the data meet or exceed the quality level 2 specifications outlined in the Lidar Base Specifications (LBS). Interswath and same surface precision values were within specified tolerances, with a root mean square difference of 0.03 meters for interswath vertical accuracy and 0.03 meters for same surface precision. Vertical accuracy in flat areas was excellent, with root mean square error values consistently below 0.10 meters. Horizontal accuracy assessments also showed good agreement between lidar and reference data. Point density generally exceeded the minimum requirement of 2 points per square meter, and the inter-project consistency assessment indicated good agreement between the Iowa lidar data and adjacent datasets.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251017","usgsCitation":"Sampath, A., Irwin, J., and Kropuenske, T., 2025, Validation of the geometric accuracy of airborne light detection and ranging data for eastern Iowa, 2019: U.S. Geological Survey Open-File Report 2025–1017, 16 p., https://doi.org/10.3133/ofr20251017.","productDescription":"Report: v, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":487536,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.XML","text":"XML","size":"90.4 KB","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1017 XML"},{"id":487523,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1017/images"},{"id":487518,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1017/ofr20251017.pdf","text":"Report","size":"3.15","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1017"},{"id":487578,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DI0G64","text":"USGS data release","linkHelpText":"2019 Eastern Iowa topographic lidar validation – USGS field survey data"},{"id":487546,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251017/full"},{"id":487511,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1017/coverthb.jpg"},{"id":494125,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118628.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.29294140522802,\n 43.01135367569728\n ],\n [\n -93.29294140522802,\n 40.35261453917326\n ],\n [\n -89.92207321354842,\n 40.35261453917326\n ],\n [\n -89.92207321354842,\n 43.01135367569728\n ],\n [\n -93.29294140522802,\n 43.01135367569728\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Six horizontal borehole tensor strainmeters (TSM1-6) installed from Fall 2021 to Spring 2022 comprise the Alto Tiberina Near Fault Observatory Strainmeter Array (STAR), providing an unprecedented opportunity to investigate seismic and aseismic deformation from hazardous high- and low-angle normal faults in Italy. Prior to use in tectonic applications, they require in-situ calibration and correction for non-tectonic signals. We tidally calibrate the instruments, characterize the calibration uncertainty, and test the results against environmental and earthquake signals originating from local to teleseismic distances. The STAR sites demonstrably deviate from assumptions common to the standard manufacturer's calibrations, including negative areal coupling at TSM3-6. While the tidally calibrated strains have ~3-56% uncertainty, the calibrated dynamic strains show interstation precision and accuracy to nanostrain levels, and static coseismic offsets in the array footprint are within uncertainty. TSM3 records a complex series of strains that may arise from dynamically triggered near-borehole fracture slip and fluid flow that does not appear to affect its sensitivity to lower strain rate deformation. Future calibration improvement may be afforded with longer stable timeseries, particularly for TSM4. Overall, our analyses demonstrate expanded geodetic capability for detecting deformation in the Alto Tiberina Near Fault Observatory.
","language":"English","publisher":"McGill Libraries","doi":"10.26443/seismica.v4i1.1471","usgsCitation":"Hanagan, C., Mandler, E., Bennett, R., Chiaraluce, L., Gottlieb, M., Gualandi, A., Hughes, A., Johnson, W., Mencin, D., and Marzorati, S., 2025, Characterization and validation of tidally calibrated strains from the Alto Tiberina Near Fault Observatory Strainmeter Array (TABOO-NFO-STAR): Seismica, v. 4, no. 1, 1471, 18 p., https://doi.org/10.26443/seismica.v4i1.1471.","productDescription":"1471, 18 p.","ipdsId":"IP-166057","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":506059,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i1.1471","text":"Publisher Index Page"},{"id":505767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Alto Tiberina Near Fault Observatory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 11.8,\n 43.7\n ],\n [\n 13,\n 43.7\n ],\n [\n 13,\n 43\n ],\n [\n 11.8,\n 43\n ],\n [\n 11.8,\n 43.7\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Hanagan, Catherine Elise 0000-0002-2966-5175","orcid":"https://orcid.org/0000-0002-2966-5175","contributorId":358930,"corporation":false,"usgs":true,"family":"Hanagan","given":"Catherine Elise","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mandler, Eugenio","contributorId":372688,"corporation":false,"usgs":false,"family":"Mandler","given":"Eugenio","affiliations":[{"id":35766,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":963407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Richard","contributorId":345668,"corporation":false,"usgs":false,"family":"Bennett","given":"Richard","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":963408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chiaraluce, Lauro","contributorId":300501,"corporation":false,"usgs":false,"family":"Chiaraluce","given":"Lauro","email":"","affiliations":[{"id":35766,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":963409,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gottlieb, Mike","contributorId":372689,"corporation":false,"usgs":false,"family":"Gottlieb","given":"Mike","affiliations":[{"id":81623,"text":"EarthScope Consortium","active":true,"usgs":false}],"preferred":false,"id":963410,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gualandi, Adriano","contributorId":372690,"corporation":false,"usgs":false,"family":"Gualandi","given":"Adriano","affiliations":[{"id":88400,"text":"Department of Earth Sciences, University of Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":963411,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hughes, Amanda L. 0000-0003-2481-444X","orcid":"https://orcid.org/0000-0003-2481-444X","contributorId":346354,"corporation":false,"usgs":false,"family":"Hughes","given":"Amanda L.","affiliations":[{"id":82839,"text":"Edge Hill University, UK","active":true,"usgs":false}],"preferred":false,"id":963412,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Wade","contributorId":372697,"corporation":false,"usgs":false,"family":"Johnson","given":"Wade","affiliations":[{"id":81623,"text":"EarthScope Consortium","active":true,"usgs":false}],"preferred":false,"id":963413,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mencin, David 0000-0001-9984-6724","orcid":"https://orcid.org/0000-0001-9984-6724","contributorId":328836,"corporation":false,"usgs":false,"family":"Mencin","given":"David","email":"","affiliations":[{"id":5114,"text":"UNAVCO","active":true,"usgs":false}],"preferred":false,"id":963414,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Marzorati, Simone","contributorId":372698,"corporation":false,"usgs":false,"family":"Marzorati","given":"Simone","affiliations":[{"id":35766,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":963415,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70267839,"text":"70267839 - 2025 - Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets","interactions":[],"lastModifiedDate":"2025-06-23T15:25:59.175515","indexId":"70267839","displayToPublicDate":"2025-06-02T09:11:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets","docAbstract":"Landsat Analysis Ready Data (ARD)-based time-series present challenges in monitoring surface urban heat islands (SUHI) due to rapid changes in land surface temperature (LST) compared to cloud-free satellite observations. This research investigates the use of a spatiotemporal gap-filling model as a feasible and cost-effective solution to produce Landsat time-series LST products with both high spatial resolution and temporal frequency. The study identified and filled Landsat ARD thermal times-series data gaps due to missing data, cloud and shadow effects, and data quality. The accuracy of Landsat gap-filled products was assessed using randomly selected clear observations of Landsat and uncertainty products from the gap-filling model and was evaluated using various existing temperature datasets, including climate data from NOAA Global Historical Climate Network station observations, Daily Surface Weather and Climatological Summaries (DAYMET), and LST including MODIS, VIIRS and ECOSTRESS. The result suggests that the gap-filled Landsat LST has significant correlations with existing datasets including field observation and remote sensing data derived from other sensors that have similar monthly and seasonal variation patterns. The uncertainty maps show spatial distributions of uncertainty for gap-filled pixels that have high or low uncertainties. The Landsat gap-filled time-series datasets can be used to measure annual, seasonal, or even monthly landscape thermal conditions, which are useful for SUHI and relevant research, and to perform multi-decade time-series LST change analysis under climate change conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2025.2505254","usgsCitation":"Shi, H., and Xian, G.Z., 2025, Assessing gap-filled Landsat land surface temperature time-series data using different observational datasets: International Journal of Remote Sensing, v. 46, no. 12, p. 4559-4582, https://doi.org/10.1080/01431161.2025.2505254.","productDescription":"24 p.","startPage":"4559","endPage":"4582","ipdsId":"IP-160289","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":489562,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":939092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267826,"text":"70267826 - 2025 - Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","interactions":[],"lastModifiedDate":"2025-06-23T15:24:34.127021","indexId":"70267826","displayToPublicDate":"2025-06-02T09:01:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach","docAbstract":"Managing per- and polyfluoroalkyl substances (PFAS) in water resources requires a basin-scale approach. Predicted environmental concentrations (PEC) and stream-vulnerability scores for PFAS were determined for the Potomac River watershed in the eastern United States. Approximately 15% of stream reaches contained municipal and/or industrial wastewater treatment plant (WWTP) discharges that are presumptive PFAS sources, comprising from <1 to >90% of streamflow. Mean annual PEC, based on the summed concentrations of eight PFAS detected in WWTP effluents (ΣPFASPEC), for all stream reaches in the watershed was 3.8 ng L–1, and stream reaches impacted by WWTP had perfluorooctanoate (PFOA) and perfluorooctanesulfonate (PFOS) PEC of 0.39 and 0.14 ng L–1. For locations where measured-environmental concentrations (MEC) were determined, municipal and industrial WWTP contributed 7.8% (0 to 65%) of the total annual streamflow and MEC were greater than PEC in 99% of the samples, indicating additional potential PFAS sources. The mean ΣPFASPEC was 9.1 ng L–1 compared to a mean sum of PFAS MEC of 34 ng L–1. Under mean-August low-flow, 17% and 9.4% of the water-supply intakes had maximum PFOA and PFOS PEC exceeding drinking water maximum contaminant levels.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c12167","usgsCitation":"Barber, L., Miller, S.A., Blaney, L., Bradley, P., Faunce, K.E., Fleck, J., Frick, M., He, K., Hollins, R., Lewellyn, C., Majcher, E.H., McAdoo, M.A., and Smalling, K., 2025, Municipal and industrial wastewater treatment plant effluent contributions to per- and polyfluoroalkyl substances in the Potomac River: A basin-scale measuring and modeling approach: Environmental Science and Technology, v. 59, no. 23, p. 11720-11734, https://doi.org/10.1021/acs.est.4c12167.","productDescription":"15 p.","startPage":"11720","endPage":"11734","ipdsId":"IP-159910","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":491461,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1021/acs.est.4c12167","text":"External Repository"},{"id":489484,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Potomac River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.39010453967498,\n 38.752691597185276\n ],\n [\n -77.41287188588434,\n 38.37965397161355\n ],\n [\n -76.30362109061913,\n 37.744281422513666\n ],\n [\n -76.21247602177843,\n 37.93634553642505\n ],\n [\n -76.74054284099122,\n 38.365258541059845\n ],\n [\n -77.04066573194639,\n 38.78820834695361\n ],\n [\n -77.39010453967498,\n 38.752691597185276\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - 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2025 - Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","interactions":[],"lastModifiedDate":"2025-06-03T15:27:01.898775","indexId":"70267807","displayToPublicDate":"2025-06-02T08:22:02","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":"Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA","docAbstract":"Contamination of groundwater by oil-field fluids in proximity to oil and gas development has been an issue of concern to water users and regulators given long histories of development and legacy disposal practices. A robust set of geochemical tracers including petroleum hydrocarbon compounds, thermogenic gases, inorganic ion concentrations, stable isotopes, radioactive isotopes, and noble gases were used to assess if oil-field fluids mixed with groundwater near the Midway-Sunset and Buena Vista Oil Fields in California, USA. Results show evidence of mixing of oil-field fluids with groundwater within the study area from either anthropogenic or natural processes. Produced water plumes associated with modern surface disposal facilities, used since the late 1950s, extend up to 1.5 km and currently remain within the boundaries of the oil fields. Plumes associated with earlier routing of produced water down natural drainages and in large retention structures (Midway Basin and Sunset Basin) near the Buena Vista Lake Bed are present in groundwater east of the oil fields. Based on geochemical tracer evidence, aerial imagery, and aerial electromagnetic surveys, these legacy plumes reach the western portion of the Central Valley aquifer system, an important groundwater resource for agricultural and domestic supply. The legacy plume associated with Sunset Basin may further be detected downgradient in deeper groundwater beneath the southern extent of the Buena Vista Lake Bed based on the presence of thermogenic gases and petroleum hydrocarbon compounds.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.179637","usgsCitation":"Gannon, R., Landon, M.K., Kulongoski, J.T., Stephens, M.J., Ball, L.B., Warden, J.G., Davis, T., Gillespie, J.M., and Cozzarelli, I.M., 2025, Relations of groundwater quality to long-term surface disposal of produced water near the Midway-Sunset and Buena Vista Oil Fields, California, USA: Science of the Total Environment, v. 987, 179637, 21 p., https://doi.org/10.1016/j.scitotenv.2025.179637.","productDescription":"179637, 21 p.","ipdsId":"IP-141782","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":490170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.179637","text":"Publisher Index Page"},{"id":489465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Midway-Sunset and Buena Vista Oil Fields","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.92890453836446,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 34.8418504471874\n ],\n [\n -119.067419253165,\n 35.40767723666424\n ],\n [\n -119.92890453836446,\n 35.40767723666424\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"987","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gannon, Riley 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lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":938980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Warden, John G. 0000-0003-1384-458X","orcid":"https://orcid.org/0000-0003-1384-458X","contributorId":215846,"corporation":false,"usgs":true,"family":"Warden","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938981,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938982,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gillespie, Janice M. 0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938983,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 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Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area","docAbstract":"Background
Severe fire weather is becoming more common throughout the western United States. Changing conditions demand a better understanding of how prescribed fire treatments perform under extreme burning conditions, including the interactive influence of the age of treatments, vegetation, and fire weather. The Carr Fire of July 2018 burned nearly the entire land area of Whiskeytown National Recreation Area (NRA) under extreme fuel moisture and temperature conditions. Prior to the Carr Fire and since 1997, staff at Whiskeytown NRA treated 23% of the 15,756-ha NRA using large-scale prescribed fire (underburn) treatments ranging in size from 40 to 400 hectares.
Methods
We used simultaneous autoregressive (SAR) models to describe the effects of landscape-scale fuel treatments on wildfire severity under extreme burning conditions and across diverse biophysical settings at Whiskeytown NRA. Because vegetation type and structure are known drivers of fire severity in diverse ecosystems such as at Whiskeytown NRA, we also considered three different sources of vegetation structure data, including a 2006 physiognomic-floristic classification, a 2011 lidar-based forest structure classification, and a 2016 Landfire map of existing vegetation physiognomy-subclass.
Results
The greatest effect on 2018 Carr Fire severity was time since treatment of underburn treatments, but treatment effectiveness on fire severity dissipated rapidly—showing notable effectiveness within 5 years of underburning but virtually no effectiveness beyond 10 years post-treatment. Additional factors related to severity included vegetation structure type, topographic position index, aspect, slope, temperature, and wind gust speed. Model variance explained and model parameters, including the effect of underburn treatments, were similar regardless of the source of vegetation structure data.
Conclusions
Our results show that large-scale underburning treatments can reduce wildfire severity even under extreme fire weather conditions but suggest that frequent maintenance intervals are required to maintain treatment effectiveness ahead of severe wildfire events.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-025-00377-0","usgsCitation":"Beckman, J.J., van Mantgem, P.J., Wright, M., and Engber, E., 2025, Recent large-scale prescribed fire treatments reduced Carr Fire severity at Whiskeytown National Recreation Area: Fire Ecology, v. 21, 35, 20 p., https://doi.org/10.1186/s42408-025-00377-0.","productDescription":"35, 20 p.","ipdsId":"IP-165481","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498683,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-025-00377-0","text":"Publisher Index Page"},{"id":498548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whiskeytown National Recreation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.77239214268279,\n 40.681212821117555\n ],\n [\n -122.77239214268279,\n 40.474214754578185\n ],\n [\n -122.47725029049735,\n 40.474214754578185\n ],\n [\n -122.47725029049735,\n 40.681212821117555\n ],\n [\n -122.77239214268279,\n 40.681212821117555\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2025-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Beckman, Jill J.","contributorId":364982,"corporation":false,"usgs":false,"family":"Beckman","given":"Jill","middleInitial":"J.","affiliations":[{"id":87020,"text":"Northern Arizona University; Former USGS","active":true,"usgs":false}],"preferred":false,"id":953552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":222994,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engber, Eamon","contributorId":202777,"corporation":false,"usgs":false,"family":"Engber","given":"Eamon","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953555,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268925,"text":"70268925 - 2025 - Survival of captive-raised light-footed Ridgway’s rails is influenced by release date and time in wild","interactions":[],"lastModifiedDate":"2025-07-11T15:34:42.565999","indexId":"70268925","displayToPublicDate":"2025-06-01T10:17:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Survival of captive-raised light-footed Ridgway’s rails is influenced by release date and time in wild","docAbstract":"Captive breeding and translocation programs are an increasingly common conservation tool and management strategy used for some of the rarest and most endangered species in the world. These programs come at a high cost, and many translocation programs fail to monitor animals after release. Light-footed Ridgway’s rails (Rallus obsoletus levipes) are federally endangered marsh birds endemic to coastal wetlands of southern California and northern Mexico. Juvenile captive-raised light-footed Ridgway’s rails have been released into marshes within their U.S. range for >20 yr, but little effort has been devoted to post-release tracking of their movement and survival. We used satellite GPS transmitters to track survival of 46 juvenile captive-released and 42 juvenile wild-caught light-footed Ridgway’s rails from 2020–2022. Our results suggest that juvenile captive-released rails had lower initial daily survival probability (0.979) compared with that of juvenile wild-caught rails (0.994). Survival probability of captive-released rails increased with time in the wild, matching that of wild birds at about 100 d post-release. Survival of captive-released birds was most influenced by the date birds were released (releases in early summer had the highest survival). Our study emphasizes the importance of post-release monitoring as part of any captive breeding and translocation program and provides important insight into management strategies that may improve captive-released rail survival in the wild.
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A migratory species restricted to riparian habitat for breeding, the flycatcher is present in southern California from May to August. The flycatcher has declined over the last several decades primarily in response to habitat loss, and possibly Brown-headed Cowbird (Molothrus ater) parasitism. This document compiles and analyzes data collected by USGS scientists on population size, distribution, demography, and breeding habitat condition and uses this information to evaluate potential management options and locations relative to several variables including spatial proximity to currently occupied locations, historical occupation, and potential for restoration that would benefit the flycatcher and expand populations. Location-specific management options and habitat restoration opportunities are ranked based on the contribution of each location to promoting regional flycatcher persistence. The results of these analyses can be used by land and resource managers to develop their habitat management projects and priorities and promote flycatcher recovery.
","language":"English","publisher":"RiversEdge West","usgsCitation":"Howell, S.L., Kus, B., and Preston, K.L., 2025, Science support for recovery of Southwestern Willow Flycatcher (Empidonax traillii extimus) on conserved lands in San Diego County, vii, 68 p.","productDescription":"vii, 68 p.","ipdsId":"IP-178700","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":493167,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.riversedgewest.org/documents/science-support-recovery-southwestern-willow-flycatcher-empidonax-traillii-extimus"},{"id":501176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":221,\"properties\":{\"name\":\"San 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