“Leaky weirs” are rock structures installed in dryland streams, which are anchored into exposed bedrock, loosely cemented, and designed to allow water to slowly pass through. They are being tested at a ranch in southeastern Arizona, USA, to restore and conserve the historic range and desert wetlands. Data are collected to assess how leaky weirs impact surface water, subsurface water, and groundwater recharge—including stream discharge, timing, and depth of infiltration, and groundwater elevations. Three adjacent watersheds, two with outlets just below leaky weirs and one with leaky weirs farther upstream, were instrumented with water-level loggers, wildlife cameras, and crest stage instruments with temperature sensors in the soil. As most groundwater recharge is assumed to be focused along the mountain fronts in this region, mountain-block recharge is also evaluated to differentiate between the two using isotope analyses. Finally, a single, late-season flood event is scrutinized to consider the leaky weir effect on all monitored components in the water budget. Results indicated groundwater flow is primarily from the mountains to the east via older, regional mountain-block recharge. However, the development of shallow alluvial aquifers is supported by the leaky weirs, that slow flows, capture permeable sediments, and allow infiltration, thus enhancing mountain-front recharge. In turn, these new pockets of water help support the restoration of historic wetlands. Sediment accumulates where leaky weirs are installed, reducing flashy peak flows, and resulting in a series of infiltration ponds along the channel that support vegetation during growing seasons and recharge the shallow aquifer during non-growing seasons.
","language":"English","publisher":"Springer","doi":"10.1007/s13201-025-02371-y","usgsCitation":"Norman, L., Uhlman, K., Coy, H., Wilson, N., Bennett, A., Gray, F., and Ehrenberg, K., 2025, “Leaky weirs” capture alluvial deposition and enhance seasonal mountain-front recharge in dryland streams: Applied Water Science, v. 15, 29, 27 p., https://doi.org/10.1007/s13201-025-02371-y.","productDescription":"29, 27 p.","ipdsId":"IP-157242","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":488063,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13201-025-02371-y","text":"Publisher Index Page"},{"id":481927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.333333,\n 32.283333\n ],\n [\n -109.916667,\n 32.283333\n ],\n [\n -109.916667,\n 31.5\n ],\n [\n -109.333333,\n 31.5\n ],\n [\n -109.333333,\n 32.283333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":927002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coy, Hanna","contributorId":350793,"corporation":false,"usgs":false,"family":"Coy","given":"Hanna","affiliations":[{"id":83830,"text":"U.S. Geological Survey, Arizona Water Science Center (Ret.)","active":true,"usgs":false}],"preferred":false,"id":927003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Andrew M.","contributorId":350794,"corporation":false,"usgs":false,"family":"Bennett","given":"Andrew M.","affiliations":[{"id":83831,"text":"Contracter","active":true,"usgs":false}],"preferred":false,"id":927005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gray, Floyd 0000-0002-0223-8966","orcid":"https://orcid.org/0000-0002-0223-8966","contributorId":201529,"corporation":false,"usgs":true,"family":"Gray","given":"Floyd","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":927006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ehrenberg, Kurt T.","contributorId":350795,"corporation":false,"usgs":false,"family":"Ehrenberg","given":"Kurt T.","affiliations":[{"id":83832,"text":"U.S. Geological Survey, Arizona Water Science Center, 520 N. 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Studies of the highly pathogenic avian influenza (HPAI) virus have primarily focused on wintering grounds, where human and poultry densities are high year-round, compared with breeding grounds, where migratory waterfowl are more isolated. Few if any studies of avian influenza have focused on the molting stage where wild waterfowl congregate in a few selected wetlands and undergo the simultaneous molt of wing and tail feathers during a vulnerable flightless period. The molting stage may be one of the most important periods for the perpetuation of the disease in waterfowl, since during this stage, immunologically naïve young birds and adults freely intermix prior to the fall migration. Our study incorporated empirical data from virological field samplings and markings of Swan Geese (Anser cygnoides) on their breeding grounds in Mongolia in an integrated agent-based model (ABM) that included susceptible–exposed–infectious–recovered (SEIR) states. Our ABM results provided unique insights and indicated that individual movements between different molting wetlands and the transmission rate were the key predictors of HPAI perpetuation. While wetland extent was not a significant predictor of HPAI perpetuation, it had a large effect on the number of infections and associated death toll. Our results indicate that conserving undisturbed habitats for wild waterfowl during the molting stage of the breeding season could reduce the risk of HPAI transmission.
","language":"English","publisher":"MDPI","doi":"10.3390/v17020196","usgsCitation":"Takekawa, J., Choi, C., Prosser, D.J., Sullivan, J.D., Batbayar, N., and Xiao, X., 2025, Perpetuation of avian influenza from molt to fall migration in wild Swan Geese (Anser cygnoides): An agent-based modeling approach: Viruses, v. 17, no. 2, 196, 20 p., https://doi.org/10.3390/v17020196.","productDescription":"196, 20 p.","ipdsId":"IP-171183","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487618,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17020196","text":"Publisher Index Page"},{"id":481653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mongolia, Russia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.5,\n 50.33\n ],\n [\n 114.5,\n 49.25\n ],\n [\n 116,\n 49.25\n ],\n [\n 116,\n 50.33\n ],\n [\n 114.5,\n 50.33\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Takekawa, John","contributorId":330942,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","affiliations":[{"id":32931,"text":"USGS - Retired","active":true,"usgs":false}],"preferred":false,"id":926134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Choi, Chang-Yong","contributorId":181784,"corporation":false,"usgs":false,"family":"Choi","given":"Chang-Yong","email":"","affiliations":[],"preferred":false,"id":926135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prosser, Diann J. 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":221167,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":926137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batbayar, Nyambaya","contributorId":181791,"corporation":false,"usgs":false,"family":"Batbayar","given":"Nyambaya","affiliations":[],"preferred":false,"id":926138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":926139,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262821,"text":"sir20245104 - 2025 - Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming","interactions":[],"lastModifiedDate":"2025-07-21T17:51:56.872176","indexId":"sir20245104","displayToPublicDate":"2025-01-24T14:56:11","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":"2024-5104","displayTitle":"Methods to Determine Streamflow Statistics Based on Data Through Water Year 2021 for Selected Streamgages in or near Wyoming","title":"Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Wyoming Water Development Office, developed streamflow statistics for streamgages in and near Wyoming. Statistics were computed for active (through September 30, 2021) and discontinued USGS streamgages with 10 or more years of daily mean streamflow record. Streamflow at each streamgage was assessed for degree of human alteration owing to dams and diversions before streamflow statistics were computed. Streamflow records from 615 streamgages were used to compute basic, seasonal, and flow-duration statistics; streamflow records from 387 streamgages were used to compute n-day statistics, which are streamflow statistics describing streamflow over a number of days (n), and statistics that can be used for regional regression. The streamflow statistics are provided in a USGS data publication that accompanies this report and through the USGS StreamStats web-based application (https://www.usgs.gov/streamstats).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245104","collaboration":"Prepared in cooperation with Wyoming Water Development Office","usgsCitation":"Armstrong, D.W., Lange, D.A., and Chase, K.J., 2025, Methods to determine streamflow statistics based on data through water year 2021 for selected streamgages in or near Wyoming: U.S. Geological Survey Scientific Investigations Report 2024–5104, 10 p., https://doi.org/10.3133/sir20245104.","productDescription":"Report: v, 10 p.; Dataset","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148941","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":492669,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118406.htm","linkFileType":{"id":5,"text":"html"}},{"id":481019,"rank":6,"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":481017,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20245104/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024–5104."},{"id":481016,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5104/sir20245104.XML","linkFileType":{"id":8,"text":"xml"}},{"id":481015,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5104/images"},{"id":481014,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5104/sir20245104.pdf","text":"Report","size":"5.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5104"},{"id":481013,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5104/coverthb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.10935768359315,\n 45.03387726366623\n ],\n [\n -111.10935768359315,\n 40.99279378165886\n ],\n [\n -104.05893115935177,\n 40.99279378165886\n ],\n [\n -104.05893115935177,\n 45.03387726366623\n ],\n [\n -111.10935768359315,\n 45.03387726366623\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
The Kunming-Montreal Global Biodiversity Framework 2030 calls for the conservation of 30% of the world’s ecosystems, focusing on protecting areas vital to biodiversity, identifying and managing invasive species introduction pathways, and minimizing the impacts of climate change on biodiversity. While protected areas (PAs) have historically limited the introduction, establishment, and spread of non-native species, climate change is likely to increase their susceptibility to invasion. Yet we know little about how pathways may shift in the future, making it difficult for managers to plan appropriately. This paper explores how climate change may affect primary and secondary pathways of introduction and presents an adaptive management approach to avoid, minimize, and mitigate impacts. Climate change has influenced introduction pathways by modifying human behaviors (e.g., forced migration and shifting travel and vacation destinations), and by altering transportation routes, natural dispersal mechanisms, and the environmental conditions along these pathways and in donor and receiver regions. These changes increase the risk of non-native species introductions and their subsequent spread within PAs. Implementing climate-smart adaptive biosecurity, an iterative process that includes the incorporation of new technologies and perspectives, will become increasingly important for invasive species prevention and management of PAs as it provides flexibility in management response and maximizes positive outcomes when resources are limited.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-025-03534-3","usgsCitation":"Lieurance, D., Canavan, S., Faulkner, K., O’Shaughnessy, K., Lockwood, J.L., Parsons, E.W., Avery, J., and Daniel, W., 2025, Understanding and managing introduction pathways into protected areas in a changing climate: Biological Invasions, v. 27, no. 2, 74, 15 p., https://doi.org/10.1007/s10530-025-03534-3.","productDescription":"74, 15 p.","ipdsId":"IP-168490","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488375,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-025-03534-3","text":"Publisher Index Page"},{"id":483718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lieurance, Deah 0000-0001-8176-3146","orcid":"https://orcid.org/0000-0001-8176-3146","contributorId":293605,"corporation":false,"usgs":false,"family":"Lieurance","given":"Deah","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931708,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canavan, Susan 0000-0002-7972-7928","orcid":"https://orcid.org/0000-0002-7972-7928","contributorId":293598,"corporation":false,"usgs":false,"family":"Canavan","given":"Susan","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":931709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulkner, Katelyn T.","contributorId":352566,"corporation":false,"usgs":false,"family":"Faulkner","given":"Katelyn T.","affiliations":[{"id":84262,"text":"University of Pretoria, South Africa","active":true,"usgs":false}],"preferred":false,"id":931710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Shaughnessy, Kathryn A.","contributorId":352567,"corporation":false,"usgs":false,"family":"O’Shaughnessy","given":"Kathryn A.","affiliations":[{"id":48711,"text":"Dauphin Island Sea Lab","active":true,"usgs":false}],"preferred":false,"id":931711,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lockwood, Julie L.","contributorId":192147,"corporation":false,"usgs":false,"family":"Lockwood","given":"Julie","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":931712,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Elliott W.","contributorId":330758,"corporation":false,"usgs":false,"family":"Parsons","given":"Elliott","email":"","middleInitial":"W.","affiliations":[{"id":79002,"text":"University of Hawai‘i at \nMānoa","active":true,"usgs":false}],"preferred":false,"id":931713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avery, Julian D.","contributorId":352568,"corporation":false,"usgs":false,"family":"Avery","given":"Julian D.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":931714,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931715,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264824,"text":"70264824 - 2025 - Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh","interactions":[],"lastModifiedDate":"2025-03-26T15:03:35.464504","indexId":"70264824","displayToPublicDate":"2025-01-24T09:54:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh","docAbstract":"Environmental gradients can affect organic matter decay within and across wetlands and contribute to spatial heterogeneity in soil carbon stocks. We tested the sensitivity of decay rates to tidal flooding and soil depth in a minerogenic salt marsh using the Tea Bag Index (TBI). Tea bags were buried at 10 and 50 cm depths across an elevation gradient in a subtropical Spartina alterniflora marsh in Georgia (USA). Plant and animal communities and soil properties were characterized once, while replicate tea bags and porewaters were collected several times over 1 year. TBI decay rates were faster than prior litterbag studies in the same marsh, largely due to rapid green tea loss. Rooibos tea decay rates were more comparable to natural marsh litter, potentially suggesting that is more useful as a standardized organic matter proxy than green tea. Decay was slowest at higher marsh elevations and not consistently related to other biotic (e.g., plants, crab burrows) or abiotic factors (e.g., porewater chemistry), indicating that local hydrology strongly affected organic matter loss rates. TBI rates were 32 %–118 % faster in the 10 cm horizon than at 50 cm. Rates were fastest in the first 3 months and slowed 54 %–60 % at both depths between 3 and 6 months. Rates slowed further between 6 and 12 months, but this was more muted at 10 cm (17 %) compared to 50 cm (50 %). Slower rates at depth and with time were unlikely due to the TBI stabilization factor, which was similar across depths and decreased from 6 to 12 months. Slower decay at 50 cm demonstrates that rates were constrained by environmental conditions in the deeper horizon rather than the composition of this highly standardized litter. Overall, these patterns suggest that hydrological setting, which affects oxidant introduction and reactant removal and is often overlooked in marsh decomposition studies, may be a particularly important control on organic matter loss in the short term (3–12 months).
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/bg-22-435-2025","usgsCitation":"Reddy, S., Farrell, W., Wu, F., Pennings, S.C., Sanderman, J., Eagle, M.J., Craft, C., and Spivak, A.C., 2025, Decomposing the Tea Bag Index and finding slower organic matter loss rates at higher elevations and deeper soil horizons in a minerogenic salt marsh: Biogeosciences, v. 22, no. 2, p. 435-453, https://doi.org/10.5194/bg-22-435-2025.","productDescription":"19 p.","startPage":"435","endPage":"453","ipdsId":"IP-166089","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-22-435-2025","text":"Publisher Index Page"},{"id":483875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Altamaha River","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Reddy, Satyatejas G.","contributorId":352677,"corporation":false,"usgs":false,"family":"Reddy","given":"Satyatejas G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":931981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Farrell, W. Reilly","contributorId":352678,"corporation":false,"usgs":false,"family":"Farrell","given":"W. Reilly","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":931982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Fengrun","contributorId":352679,"corporation":false,"usgs":false,"family":"Wu","given":"Fengrun","affiliations":[{"id":84281,"text":"Xiamen University of Technology","active":true,"usgs":false}],"preferred":false,"id":931983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pennings, Steven C.","contributorId":177820,"corporation":false,"usgs":false,"family":"Pennings","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":931984,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanderman, Jonathan","contributorId":187477,"corporation":false,"usgs":false,"family":"Sanderman","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":931985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Craft, Christopher","contributorId":156398,"corporation":false,"usgs":false,"family":"Craft","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":931987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spivak, Amanda C.","contributorId":191376,"corporation":false,"usgs":false,"family":"Spivak","given":"Amanda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":931988,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263233,"text":"70263233 - 2025 - The transition from resistance to acceptance: Managing a marine invasive species in a changing world","interactions":[],"lastModifiedDate":"2025-03-11T14:59:09.650451","indexId":"70263233","displayToPublicDate":"2025-01-24T09:34:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The transition from resistance to acceptance: Managing a marine invasive species in a changing world","docAbstract":"Global observations at 30-m ground sampling distance (GSD) are now possible at a cadence of 1-3 days by combining Landsat 8 and 9 with Sentinel-2A and -2B satellites. Previous studies characterizing pixel-level Landsat-class measurement frequency used data from different sources but offered little information on observation availability after rigorous quality screening. This study examined the coverage frequency of HLS V2.0 data for 2022, the first year all four satellites data were available. These data have had quality control filtering and harmonization, and therefore reflect the spatial-temporal distribution of usable observations. On average, HLS data provide observations every 1.6 days at the global scale, and 2.2 days in the data-scarce tropical regions, regardless of cloud cover. The global mean and median cloud-free observations were 69 and 64, respectively. The frequency of good-quality observations varies geographically and seasonally due to changes in satellite swath overlap, cloud frequency, and solar illumination. High latitudes (>~75°N) exhibit the highest number of cloud-free observations between March and September. However, data are unavailable during winter months due to low solar elevation angles and boreal regions have a lower number of clear observations in the summer months. The tropical regions have the lowest number of clear observations. More frequent HLS observations could improve terrestrial monitoring. We mapped the monthly and weekly number of clear observations globally to show where HLS data could support monthly or sub-weekly time series applications.
","language":"English","publisher":"IEEE Xplore","doi":"10.1109/LGRS.2025.3533923","usgsCitation":"Zhou, Q., Neigh, C., Ju, J., Dabney, P., Cook, B., Zhu, Z., Crawford, C., Gascon, F., Strobl, P., and Sridhar, M., 2025, Towards seamless global 30-meter terrestrial monitoring: Evaluating 2022 cloud free coverage of harmonized Landsat and Sentinel-2 (HLS) V2.0: IEEE Geoscience and Remote Sensing Letters, v. 22, 5000505, 5 p., https://doi.org/10.1109/LGRS.2025.3533923.","productDescription":"5000505, 5 p.","ipdsId":"IP-164632","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488360,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/lgrs.2025.3533923","text":"Publisher Index Page"},{"id":481614,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhou, Qiang","contributorId":350371,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":63570,"text":"Science Systems and Applications Inc","active":true,"usgs":false}],"preferred":false,"id":925890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neigh, Christopher","contributorId":350372,"corporation":false,"usgs":false,"family":"Neigh","given":"Christopher","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ju, Junchang","contributorId":350375,"corporation":false,"usgs":false,"family":"Ju","given":"Junchang","affiliations":[{"id":83726,"text":"University of Maryland College Park","active":true,"usgs":false}],"preferred":false,"id":925892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dabney, Philip","contributorId":350376,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Bruce","contributorId":350378,"corporation":false,"usgs":false,"family":"Cook","given":"Bruce","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":925894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhe","contributorId":350380,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":925895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":925896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gascon, Ferran","contributorId":350381,"corporation":false,"usgs":false,"family":"Gascon","given":"Ferran","affiliations":[{"id":38836,"text":"European Space Agency","active":true,"usgs":false}],"preferred":false,"id":925897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Strobl, Peter","contributorId":350382,"corporation":false,"usgs":false,"family":"Strobl","given":"Peter","affiliations":[{"id":54481,"text":"European Commission","active":true,"usgs":false}],"preferred":false,"id":925898,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sridhar, Madhu","contributorId":350383,"corporation":false,"usgs":false,"family":"Sridhar","given":"Madhu","affiliations":[{"id":83729,"text":"University of Alabama Huntsville","active":true,"usgs":false}],"preferred":false,"id":925899,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70265809,"text":"70265809 - 2025 - Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","interactions":[],"lastModifiedDate":"2025-04-16T14:18:07.747942","indexId":"70265809","displayToPublicDate":"2025-01-24T09:13:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake","docAbstract":"A major earthquake ruptured the Cascadia subduction zone (CSZ) on 26 January 1700. Key paleoseismic evidence associated with this event include tsunami deposits, stratigraphic evidence of coastal coseismic subsidence, written Japanese records of a tsunami unaccompanied by earthquake shaking, and margin‐wide turbidites found offshore and in lacustrine environments. Despite this wealth of independent clues, important details about this event remain unresolved. Dating uncertainties do not conclusively establish whether the proxies are from one earthquake or a sequence of them, and we have limited knowledge of the likely slip distributions of the event or events. Here, we use a catalog of 37,500 candidate synthetic ruptures between Mw 7.8 and 9.2 and simulate their resulting coseismic deformation and tsunami inundation. Each model is then compared against estimated Japan tsunami arrivals, regional coastal subsidence records, and local paleotsunami deposits mapped at six different coastal marshes and one coastal lake along the CSZ. We find that seven full‐margin ruptures with a median magnitude of Mw 9.1 satisfy all three constraints. We favor one Mw 9.11 model that best matches all site paleoseismic observations and suggests that the Cascadia megathrust slipped up to ∼30 m and must have shallow geodetic coupling. We also find that some sequences composed of three or four ruptures can still satisfy the observations, yet no sequences of two ruptures can. Sequences are differentiated into three groups based on whether they contain a mainshock rupture located in the south (>44° N) or further north. All sequences contain unruptured portions of the megathrust and most contain mainshocks with peak slip above 40 m. The fit of the geologic evidence from sequences is poor in comparison to single‐event models. Therefore, sequences are generally less favored compared to full‐margin events.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240218","usgsCitation":"Small, D., Melgar, D., La Selle, S., and Meigs, A.J., 2025, Combining multisite tsunami and deformation modeling to constrain slip distributions for the 1700 C.E. Cascadia earthquake: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 431-451, https://doi.org/10.1785/0120240218.","productDescription":"21 p.","startPage":"431","endPage":"451","ipdsId":"IP-172408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","otherGeospatial":"Cascadia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128.30849189050252,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 39.063748655690205\n ],\n [\n -121.82821545291904,\n 50.14252629443621\n ],\n [\n -128.30849189050252,\n 50.14252629443621\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Small, David 0000-0003-3606-7664","orcid":"https://orcid.org/0000-0003-3606-7664","contributorId":353460,"corporation":false,"usgs":false,"family":"Small","given":"David","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":933604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":933605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs, Andrew J","contributorId":300037,"corporation":false,"usgs":false,"family":"Meigs","given":"Andrew","email":"","middleInitial":"J","affiliations":[{"id":65004,"text":"College of Earth, Ocean and Atmospheric Sciences Oregon State University","active":true,"usgs":false}],"preferred":false,"id":933606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263249,"text":"70263249 - 2025 - Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","interactions":[],"lastModifiedDate":"2025-02-03T16:15:20.159375","indexId":"70263249","displayToPublicDate":"2025-01-24T09:07:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization","docAbstract":"We use combinatorial optimization to find the optimal spatial distribution of random samples of earthquakes (≥6.5) that minimize the misfit in target slip rates for all faults in the northeast Caribbean, and we derive magnitude-frequency relationships with uncertainties for these faults. Slip rates for many faults are derived from GPS block models, not direct measurements, because of their underwater locations. Predicted recurrence rates for eastern Hispaniola and Puerto Rico Trench faults are 220-450 yr for M7 and 3-5 kyr for M8, with maximum feasible magnitude of M8.2. The most frequent earthquakes with magnitudes ≥7.0 are predicted on the large upper plate strike-slip faults, Enriquillo (EF) and Septentrional Fault, commensurate with the historical record. Calais et al. (2023) suggested that shortening in western Hispaniola is accommodated on the offshore Jérémie and onshore Malpasse faults north and south of EF, instead of on terrestrial faults in western Hispaniola and EF. Because of our system-modeling approach, such a configuration predicts less frequent earthquakes on EF and on western Hispaniola and Muertos convergent zones. Recurrence times of a few 100s yr for M6.7 earthquakes is predicted on the submerged faults in Mona Passage, and infrequent M>7 earthquakes are predicted on the Virgin Islands faults.","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0320240034","usgsCitation":"ten Brink, U.S., and Geist, E.L., 2025, Earthquake recurrence estimates for northern Caribbean faults from combinatorial optimization: The Seismic Record, v. 5, no. 1, p. 44-54, https://doi.org/10.1785/0320240034.","productDescription":"11 p.","startPage":"44","endPage":"54","ipdsId":"IP-172841","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240034","text":"Publisher Index Page"},{"id":481613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cuba","otherGeospatial":"Lesser Antilles","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.54172745991896,\n 23.273159122073167\n ],\n [\n -85.08912790381078,\n 21.90480011614151\n ],\n [\n -80.37849990594867,\n 17.049272442647773\n ],\n [\n -76.07696465381447,\n 16.802734884204483\n ],\n [\n -67.83418626407995,\n 15.961899038918276\n ],\n [\n -60.7259938596588,\n 11.648146623560137\n ],\n [\n -61.859153691893425,\n 18.284983969218942\n ],\n [\n -68.38367139873552,\n 20.8955538593181\n ],\n [\n -79.22367804805796,\n 23.563735513601365\n ],\n [\n -84.54172745991896,\n 23.273159122073167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926015,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926016,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263406,"text":"70263406 - 2025 - Landslide-channel feedbacks amplify channel widening during floods","interactions":[],"lastModifiedDate":"2025-02-10T16:07:46.936249","indexId":"70263406","displayToPublicDate":"2025-01-24T09:01:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Landslide-channel feedbacks amplify channel widening during floods","docAbstract":"Channel widening is a major hazard during floods, particularly in confined mountainous catchments. However, channel widening during floods is not well understood and not always explained by hydraulic variables alone. Floods in mountainous regions often coincide with landslides triggered by heavy rainfall, yet landslide-channel interactions during a flood event are not well known or documented. Here we demonstrate with an example from the Great Colorado Flood in 2013, a 1000 year precipitation event, how landslide-channel feedbacks can substantially amplify channel widening and flood risk. We use a combination of DEM differencing, field analysis, and multiphase flow modeling to document landslide-channel interaction during the flood event in which sediment delivered by landslides temporarily dammed the channel before failing and generating substantial channel widening. We propose that such landslide-flood interactions will become increasingly important to account for in flood hazard assessment as flooding and landsliding both increase with extreme rainfall under climate change.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s44304-025-00059-6","usgsCitation":"Bennett, G.L., Panici, D., Rengers, F.K., Kean, J.W., and Rathburn, S.L., 2025, Landslide-channel feedbacks amplify channel widening during floods: Natural Hazards, v. 2, 7, 9 p., https://doi.org/10.1038/s44304-025-00059-6.","productDescription":"7, 9 p.","ipdsId":"IP-157384","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":487461,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s44304-025-00059-6","text":"Publisher Index Page"},{"id":481870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"North Saint Vrain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.73760664650443,\n 40.35112459287464\n ],\n [\n -105.73760664650443,\n 40.10499805445866\n ],\n [\n -105.48739640788911,\n 40.10499805445866\n ],\n [\n -105.48739640788911,\n 40.35112459287464\n ],\n [\n -105.73760664650443,\n 40.35112459287464\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2025-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, Georgina L.","contributorId":218097,"corporation":false,"usgs":false,"family":"Bennett","given":"Georgina","email":"","middleInitial":"L.","affiliations":[{"id":39743,"text":"School of Environmental Sciences, University of East Anglia, Norwich, UK.","active":true,"usgs":false}],"preferred":false,"id":926872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Panici, Diego 0000-0001-7394-7981","orcid":"https://orcid.org/0000-0001-7394-7981","contributorId":350752,"corporation":false,"usgs":false,"family":"Panici","given":"Diego","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":926873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":926876,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263059,"text":"70263059 - 2025 - Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system","interactions":[],"lastModifiedDate":"2025-01-29T14:40:21.402468","indexId":"70263059","displayToPublicDate":"2025-01-24T08:34:22","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":"Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system","docAbstract":"Groundwater-dependent ecosystems in areas with industrial land use are at risk of exposure to a PFAS chemicals. We investigated one such system with several known PFAS source areas, where high and low permeability sediments (glacial) coupled with groundwater-lake and groundwater/surface-water interactions created complex ‘source to seep’ dynamics. Using heat-tracing and chemical methods, numerous preferential groundwater discharge zones were identified and sampled across the upper Quashnet River stream-wetland system in Mashpee, MA, USA, downgradient of Joint Base Cape Cod (JBCC). Surface-water and groundwater samples were analyzed for 40 PFAS compounds between March and October 2022. Samples were collected from groundwater seeps identified as preferential discharge points (PDPs), wells upgradient of the stream-wetland system, contributing flow-through kettle lakes, and along Quashnet River surface-waters. PFAS from sampled waters contained perfluorinated carboxylates (PFPea, PFHxA, PFNA), perfluorinated sulfonates (PFBS, PFPeS, PFHxS, PFOS), fluorotelomer sulfonates (6:2, 8:2 FtS), and perfluoroalkyl sulfonamides (PFOSA). Samples from PDPs and wells had measured PFAS concentrations ranging from non-detect to 4677 ng/L ng/L (mean = 418 ng/L, std. = 709 ng/L), and a range of deuterium excess values (3.2 to 15.9 per mil) indicative of varying degrees of groundwater-lake interaction prior to groundwater flowpath emergence at PDPs. Correlations (p < 0.01) between deuterium excess, %PFAS precursors, and terminal PFAS compounds highlighted potential precursor transformations associated with lake-groundwater exchange along flowpaths sourcing PDPs. However, some seepages had higher total PFAS concentrations (>1000 ng/L) than upgradient kettle lakes despite showing lake (evaporative) isotopic signatures, indicating the potential for groundwater flowpath convergence at wetland discharge zones and the influence of lakebed PFAS precursor reactions. Results from these synoptic surveys address gaps in the existing PFAS literature by demonstrating the importance of subsurface fate and transport on PFAS compound concentrations and mass loading in preferential groundwater discharge zones.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178533","usgsCitation":"Rey, D., Briggs, M., Tokranov, A.K., Lind, H., Scordato, P., Iery, R., Moore, H., Slater, L., and LeBlanc, D.R., 2025, Groundwater flowpath characteristics drive variability in per- and polyfluoroalkyl substances (PFAS) loading across a stream-wetland system: Science of the Total Environment, v. 964, 178533, 15 p., https://doi.org/10.1016/j.scitotenv.2025.178533.","productDescription":"178533, 15 p.","ipdsId":"IP-159000","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":489909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.178533","text":"Publisher Index Page"},{"id":481444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.59583926396743,\n 41.69417266188978\n ],\n [\n -70.59583926396743,\n 41.55843372717109\n ],\n [\n -70.45832276101959,\n 41.55843372717109\n ],\n [\n -70.45832276101959,\n 41.69417266188978\n ],\n [\n -70.59583926396743,\n 41.69417266188978\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"964","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lind, Hayley Gale 0000-0003-3134-5223","orcid":"https://orcid.org/0000-0003-3134-5223","contributorId":347321,"corporation":false,"usgs":true,"family":"Lind","given":"Hayley Gale","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scordato, Patrick Thomas 0009-0003-4406-9835","orcid":"https://orcid.org/0009-0003-4406-9835","contributorId":350094,"corporation":false,"usgs":true,"family":"Scordato","given":"Patrick Thomas","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iery, Ramona","contributorId":350095,"corporation":false,"usgs":false,"family":"Iery","given":"Ramona","affiliations":[{"id":83682,"text":"Department of Defense - NAVFAC EXWC","active":true,"usgs":false}],"preferred":false,"id":925360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Henry 0009-0002-0338-4524","orcid":"https://orcid.org/0009-0002-0338-4524","contributorId":350097,"corporation":false,"usgs":false,"family":"Moore","given":"Henry","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":925361,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Slater, L. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":247506,"corporation":false,"usgs":false,"family":"Slater","given":"L.","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":925362,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925363,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263287,"text":"70263287 - 2025 - Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","interactions":[],"lastModifiedDate":"2025-02-04T15:20:26.056947","indexId":"70263287","displayToPublicDate":"2025-01-24T08:15:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China","docAbstract":"Maintaining the stability of ecosystems is critical for supporting essential ecosystem services over time. However, our understanding of the contribution of the diverse biotic and abiotic factors to this stability in wetlands remains limited. Here, we combined data from a field vegetation survey of 725 herbaceous wetland sites in China with remote sensing information from the Enhanced Vegetation Index (EVI) from 2010 to 2020 to explore the contribution of biotic and abiotic factors to the temporal stability of primary productivity. We found that plant species richness directly contributed to stability on a national scale, but that this contribution differed among climate zones, hydrological regimes, and vegetation types. In addition, many abiotic factors, including soil properties, geographical location, and climate also contributed to stability. Piecewise structural equation modeling identified that soil properties, including soil pH, total nitrogen, and soil organic carbon, emerged as primary factors modulating ecosystem stability, both directly and indirectly by affecting species richness and vegetation type. Higher species richness and soil organic carbon were related to higher ecosystem stability in peatlands but less so in coastal and inland marshes. These findings enhance our ability to forecast how wetland ecosystems may respond to future environmental changes and biodiversity loss and can inform policy decisions related to ecosystem stability.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70056","usgsCitation":"Wang, G., Hu, N., Hautier, Y., Middleton, B., Wang, M., Zhao, M., Meng, J., Ma, Z., Liu, B., Liu, Y., and Jiang, M., 2025, Biotic and abiotic drivers of ecosystem temporal stability in herbaceous wetlands in China: Global Change Biology, v. 31, no. 1, e70056, 10 p., https://doi.org/10.1111/gcb.70056.","productDescription":"e70056, 10 p.","ipdsId":"IP-166071","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499262,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70056","text":"Publisher Index 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Guodong","contributorId":350506,"corporation":false,"usgs":false,"family":"Wang","given":"Guodong","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Nanlin","contributorId":350507,"corporation":false,"usgs":false,"family":"Hu","given":"Nanlin","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hautier, Yann","contributorId":271107,"corporation":false,"usgs":false,"family":"Hautier","given":"Yann","affiliations":[{"id":56284,"text":"Ecology and Biodiversity Group, Department of Biology, Utrecht University, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":926164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Middleton, Beth 0000-0002-1220-2326","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":222689,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":926165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Ming","contributorId":350508,"corporation":false,"usgs":false,"family":"Wang","given":"Ming","affiliations":[{"id":83758,"text":"State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun, China","active":true,"usgs":false}],"preferred":false,"id":926166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Meiling","contributorId":350509,"corporation":false,"usgs":false,"family":"Zhao","given":"Meiling","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926167,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meng, Jingci","contributorId":350510,"corporation":false,"usgs":false,"family":"Meng","given":"Jingci","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926168,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ma, Zijun","contributorId":350511,"corporation":false,"usgs":false,"family":"Ma","given":"Zijun","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926169,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liu, Bo","contributorId":338749,"corporation":false,"usgs":false,"family":"Liu","given":"Bo","email":"","affiliations":[],"preferred":false,"id":926170,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Liu, Yanjie","contributorId":350512,"corporation":false,"usgs":false,"family":"Liu","given":"Yanjie","affiliations":[{"id":83757,"text":"Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun","active":true,"usgs":false}],"preferred":false,"id":926171,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jiang, Mingkai","contributorId":245059,"corporation":false,"usgs":false,"family":"Jiang","given":"Mingkai","email":"","affiliations":[{"id":49069,"text":"Hawkesbury Institute for the Environment, Western Sydney University, Locked Bag 1797, Penrith, NSW, 2751 Australia","active":true,"usgs":false}],"preferred":false,"id":926172,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263376,"text":"70263376 - 2025 - Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers","interactions":[],"lastModifiedDate":"2025-02-07T20:16:15.850263","indexId":"70263376","displayToPublicDate":"2025-01-23T13:10:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers","docAbstract":"Suspended-sand concentration and grain-size data in rivers provide valuable information on the catchment's dynamics for scientists and river managers. Producing continuous measurements of suspended-sand concentrations remains a scientific challenge due to their high spatial and temporal variability. Traditional methods such as sediment-rating curves may be highly uncertain, and optical turbidity is insensitive to coarse particles when there are many fine particles. Surrogate hydroacoustic methods aim to improve sand concentration measurements. These single- or dual-frequency acoustic methods use acoustic attenuation and/or backscatter to estimate fine-sediment (i.e., silt and clay) and/or sand concentration and possibly grain size. New methods have recently been developed and applied in rivers exhibiting a wide range of sediment conditions in North America but not independently tested elsewhere by other researchers. In this article, we apply, adapt and evaluate hydroacoustic methods to continuously estimate suspended-sand concentration and grain size in an Alpine river with high suspended-sediment concentrations. From the example of the River Isère at Grenoble Campus, France, we show that the hydroacoustic methods adapted to local conditions may yield valuable sand concentration estimates consistent with traditional measurements. Compared with prior knowledge, limited additional information on the grain size can be obtained due to high uncertainties. Hydroacoustic concentration estimates are more sensitive to real changes in concentration at the event scale than traditional rating-curve methods that relate concentration to discharge only. These findings open the perspective for facilitated sand concentration monitoring at a higher temporal resolution with decreased field work.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.6056","usgsCitation":"Marggraf, J., Le Coz, J., Camenen, B., Lauters, F., Dramais, G., Pierrefeu, G., and Topping, D.J., 2025, Improving hydroacoustic methods for monitoring suspended-sand flux and grain size in sediment-laden rivers: Earth Surface Processes and Landforms, v. 50, no. 1, e6056, 23 p., https://doi.org/10.1002/esp.6056.","productDescription":"e6056, 23 p.","ipdsId":"IP-166620","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.6056","text":"Publisher Index Page"},{"id":481810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Grenoble Campus","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 5.661882051323261,\n 45.223790952419705\n ],\n [\n 5.661882051323261,\n 45.1819511476435\n ],\n [\n 5.74135891360703,\n 45.1819511476435\n ],\n [\n 5.74135891360703,\n 45.223790952419705\n ],\n [\n 5.661882051323261,\n 45.223790952419705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Marggraf, Jessica","contributorId":350702,"corporation":false,"usgs":false,"family":"Marggraf","given":"Jessica","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le Coz, Jerome","contributorId":350703,"corporation":false,"usgs":false,"family":"Le Coz","given":"Jerome","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camenen, Benoıt","contributorId":350704,"corporation":false,"usgs":false,"family":"Camenen","given":"Benoıt","affiliations":[{"id":83813,"text":"RiverLy, INRAE, 5 Rue de la Doua, Villeurbanne, 69100, France","active":true,"usgs":false}],"preferred":false,"id":926700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauters, Francois","contributorId":350705,"corporation":false,"usgs":false,"family":"Lauters","given":"Francois","affiliations":[{"id":83814,"text":"Service Etudes Eau Environnement, EDF, 134 Rue de l’´etang, Saint Martin le Vinoux, 38950, France","active":true,"usgs":false}],"preferred":false,"id":926701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dramais, Guillaume 0000-0002-2703-9314","orcid":"https://orcid.org/0000-0002-2703-9314","contributorId":238955,"corporation":false,"usgs":false,"family":"Dramais","given":"Guillaume","email":"","affiliations":[{"id":47837,"text":"Ph.D. student, IRSTEA, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":926702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pierrefeu, Gilles","contributorId":238958,"corporation":false,"usgs":false,"family":"Pierrefeu","given":"Gilles","email":"","affiliations":[{"id":47841,"text":"Senior Engineer, CNR, Lyon, France","active":true,"usgs":false}],"preferred":false,"id":926703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Topping, David J. 0000-0002-2104-4577","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":215068,"corporation":false,"usgs":true,"family":"Topping","given":"David","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":926704,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262823,"text":"70262823 - 2025 - Long-lived partial melt beneath Cascade volcanoes","interactions":[],"lastModifiedDate":"2025-02-11T15:48:35.107872","indexId":"70262823","displayToPublicDate":"2025-01-23T10:59:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Long-lived partial melt beneath Cascade volcanoes","docAbstract":"Quantitative estimates of magma storage are fundamental to evaluating volcanic dynamics and hazards. Yet our understanding of subvolcanic magmatic plumbing systems and their variability remains limited. There is ongoing debate regarding the ephemerality of shallow magma storage and its volume relative to eruptive output, and so whether an upper-crustal magma body could be a sign of imminent eruption. Here we present seismic imaging of subvolcanic magmatic systems along the Cascade Range arc from systematically modelling the three-dimensional scattered wavefield of teleseismic body waves. This reveals compelling evidence of low-seismic-velocity bodies indicative of partial melt between 5 and 15 km depth beneath most Cascade Range volcanoes. The magma reservoirs beneath these volcanoes vary in depth, size and complexity, but upper-crustal magma bodies are widespread, irrespective of the eruptive flux or time since the last eruption of the associated volcano. This indicates that large volumes of melts can persist at shallow depth throughout eruption cycles beneath large volcanoes.
","language":"English","publisher":"Nature","doi":"10.1038/s41561-024-01630-y","usgsCitation":"Pang, G., Abers, G.A., Moran, S.C., and Thelen, W., 2025, Long-lived partial melt beneath Cascade volcanoes: Nature Geoscience, v. 18, p. 184-190, https://doi.org/10.1038/s41561-024-01630-y.","productDescription":"7 p.","startPage":"184","endPage":"190","ipdsId":"IP-171763","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascade volcanoes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.0550198009519,\n 48.97475145081157\n ],\n [\n -123.20704221580439,\n 48.97475145081157\n ],\n [\n -123.20704221580439,\n 40.54505031228959\n ],\n [\n -120.0550198009519,\n 40.54505031228959\n ],\n [\n -120.0550198009519,\n 48.97475145081157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pang, Guanning","contributorId":204444,"corporation":false,"usgs":false,"family":"Pang","given":"Guanning","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":924934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abers, Geoffrey A.","contributorId":247887,"corporation":false,"usgs":false,"family":"Abers","given":"Geoffrey","email":"","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Seth C. 0000-0001-7308-9649 smoran@usgs.gov","orcid":"https://orcid.org/0000-0001-7308-9649","contributorId":224629,"corporation":false,"usgs":true,"family":"Moran","given":"Seth","email":"smoran@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924937,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265631,"text":"70265631 - 2025 - Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2025-04-14T15:03:37.233412","indexId":"70265631","displayToPublicDate":"2025-01-23T10:00:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1660,"text":"Fisheries Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico","docAbstract":"Flying fish (family Exocoetidae) play an important role in marine food webs, linking sub-surface and aerial predators. The association of seabirds with sub-surface predators in subtropical and tropical regions through facilitated foraging events is a well-known phenomenon and is sometimes used to identify fishing grounds for flying fish, flying fish roe, and tunas. In the northern Gulf of Mexico (nGoM), few studies have assessed flying fish distribution, and none have directly evaluated flying fish–seabird co-occurrence. Using vessel-based observations of surfacing flying fish flights, we characterized the distribution of flying fish and their co-occurrence patterns with seabirds in the nGoM. We modeled the distribution and relative density of flying fish flights using Generalized Additive Models. We then assessed co-occurrence patterns of flying fish with all seabird species seen in the area, encompassing the footprint of flying fish detections. Flying fish were detected across the U.S. Exclusive Economic Zone, with flight densities greater on the mid-continental shelf and into pelagic waters south of Louisiana, and greater flight densities were associated with regionally low chlorophyll-a and warm water. Flying fish flights were greatest in spring months through early fall months. Sooty terns (Onychoprion fuscatus), considered near-obligate commensals with tuna, contributed a much higher percent of the cumulative density of the seabirds co-occurring with versus without flying fish. Flying fish could be an ecological attractant for high abundances of visually conspicuous sooty terns, the presence of which may lead to the formation of ephemeral facilitated foraging events consisting of mixed-species seabird flocks.
","language":"English","publisher":"WIley","doi":"10.1111/fog.12712","usgsCitation":"Michael, P., Haney, J., Gleason, J., Hixson, K.M., Satgé, Y., and Jodice, P.G., 2025, Flying fish habitat and co-occurrence with seabirds in the northern Gulf of Mexico: Fisheries Oceanography, v. 34, no. 3, e12712, 17 p., https://doi.org/10.1111/fog.12712.","productDescription":"e12712, 17 p.","ipdsId":"IP-164517","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fog.12712","text":"Publisher Index Page"},{"id":484497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.85994338943146,\n 26.090144255345805\n ],\n [\n -81.5568338264435,\n 25.37260362778406\n ],\n [\n -83.1535405648454,\n 29.44002394978382\n ],\n [\n -84.0173461578382,\n 29.918915067033325\n ],\n [\n -85.03613314603761,\n 29.62437145316774\n ],\n [\n -87.07138671351663,\n 30.373698281309842\n ],\n [\n -89.69645200017544,\n 30.176082004393137\n ],\n [\n -89.88260803375077,\n 29.107425410459612\n ],\n [\n -93.54135120526524,\n 29.516029211382815\n ],\n [\n -97.12905611377971,\n 28.12170747625406\n ],\n [\n -97.3049365335269,\n 27.041943819722775\n ],\n [\n -96.85994338943146,\n 26.090144255345805\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Pamela E.","contributorId":340919,"corporation":false,"usgs":false,"family":"Michael","given":"Pamela E.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haney, J. Christopher","contributorId":341154,"corporation":false,"usgs":false,"family":"Haney","given":"J. Christopher","affiliations":[{"id":81710,"text":"Terra Mar Applied Science","active":true,"usgs":false}],"preferred":false,"id":933147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Jeffrey S.","contributorId":341153,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeffrey S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":933148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hixson, Kathy M.","contributorId":340920,"corporation":false,"usgs":false,"family":"Hixson","given":"Kathy","email":"","middleInitial":"M.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":933149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Yvan G.","contributorId":340737,"corporation":false,"usgs":false,"family":"Satgé","given":"Yvan G.","affiliations":[{"id":81653,"text":"South Carolina Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":933150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263409,"text":"70263409 - 2025 - 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","interactions":[],"lastModifiedDate":"2025-02-10T15:54:57.939719","indexId":"70263409","displayToPublicDate":"2025-01-23T08:50:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone","docAbstract":"Interseismic deformation in the Pacific Northwest is constrained by the horizontal crustal velocity field derived from the Global Positioning System (GPS) in addition to vertical rates derived from GPS, leveling, and tide gauge measurements. Such measurements were folded in to deformation models of fault slip rates as part of the 2023 National Seismic Hazard Model (NSHM) update. Here I build upon one of the contributing models, the viscoelastic earthquake-cycle model of Pollitz [2022]. This model permits inclusion of effects of time-dependent viscoelastic relaxation within earthquake cycles (i.e., ‘ghost transients’) and laterally variable elastic and/or ductile material properties. I lever-age these capabilities to incorporate the Cascadia megathrust into Western U.S.-wide deformation models in which crustal fault slip rates are estimated simultaneously with slip deficit rates along the interplate boundary between the descending Juan de Fuca plate and North American plate. This effort includes construction of a margin-wide model of viscoelastic structure founded on the Slab 2.0 model and probes different models of the ductile properties of the surrounding oceanic asthenosphere, continental lower crust, and mantle asthenosphere. This results in new estimates of the distribution of slip deficit rate along the ∼ 1000 km long margin, highlights the importance of correcting for glacial-isostatic adjustment effects, and permits assessment of sensitivity of results to assumed ductile properties.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029847","usgsCitation":"Pollitz, F., 2025, 3D viscoelastic models of slip-deficit rate along the Cascadia subduction zone: Journal of Geophysical Research: Solid Earth, v. 130, no. 1, e2024JB029847, 22 p., https://doi.org/10.1029/2024JB029847.","productDescription":"e2024JB029847, 22 p.","ipdsId":"IP-168142","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.21988785109721,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 40.250023472885545\n ],\n [\n -122.48356241942076,\n 48.53762428891605\n ],\n [\n -126.21988785109721,\n 48.53762428891605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926883,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70262871,"text":"70262871 - 2025 - Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","interactions":[],"lastModifiedDate":"2025-01-27T15:08:54.1809","indexId":"70262871","displayToPublicDate":"2025-01-23T08:01:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus)","docAbstract":"Assessments of genetic diversity, structure, history, and effective population size (N e) are critical for the conservation of imperiled populations. The lesser prairie-chicken (Tympanuchus pallidicinctus) has experienced declines due to habitat loss, degradation, and fragmentation in addition to substantial population fluctuations with unknown effects on genetic diversity. Our objectives were to: (i) compare genetic diversity across three temporally discrete sampling periods (2002, 2007-2010, and 2013-2014) that are characterized by low or high population abundance; (ii) examine genetic diversity at lek and lek cluster spatial scales; (ii) identify potential bottlenecks and characterize genetic structure and relatedness; and (iii) estimate the regional N e. We analyzed 194 samples across the shinnery oak prairie region of eastern New Mexico and western Texas using 13 microsatellite loci. Mean heterozygosity, allelic richness, and inbreeding coefficient were not significantly different between discrete sampling periods, suggesting that this population has maintained its genetic diversity across the sampled population fluctuations. We did not detect genetic structure using multiple Bayesian clustering approaches. Furthermore, there was no support for recent genetic bottlenecks, and we estimated that the N e ranged from 229.5 (p crit = 0.05, 95% CIs = 121.2-1023.1) to 349.1 (p crit = 0.02, 95% CIs = 176.4-2895.2) during our final sampling period (2013-2014). Although we provide evidence for gene flow within this region, continued habitat loss and fragmentation that leads to population declines and isolation could increase the risk of genetic consequences. Continued monitoring of genetic diversity and increasing available habitat that supports robust populations of lesser prairie-chickens may improve the likelihood of the species' persistence.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70879","usgsCitation":"Lawrence, A.J., Carleton, S., Oyler-McCance, S.J., DeYoung, R.W., Nichols, C.T., and Wright, T., 2025, Maintenance of genetic diversity despite population fluctuations in the lesser prairie-chicken (Tympanuchus pallidicinctus): Ecology and Evolution, v. 15, no. 1, e70879, 15 p., https://doi.org/10.1002/ece3.70879.","productDescription":"e70879, 15 p.","ipdsId":"IP-161495","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70879","text":"Publisher Index Page"},{"id":481258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","county":"Bailey County, Chaves County, Cochran County, Lea County, Roosevelt County, Yoakum 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Missouri Department of Natural Resources and various local agencies, as part of a multiyear effort to establish or update the surface area and capacity tables for the surveyed lakes. Surveys were carried out during the months of April and May in 2022 and 2023. All but two of the lakes had been surveyed previously by the U.S. Geological Survey, and the recent surveys were compared to the earlier surveys to document the changes in the bathymetric surface and capacity of the lake.
Bathymetric data were collected using a high-resolution multibeam mapping system mounted on a boat. Supplemental depth data at three of the lakes were collected in shallow areas with an acoustic Doppler current profiler on a remote-controlled boat. Data points from the various sources were exported at a gridded data resolution appropriate to each lake, either 0.82 foot, 1.64 feet, or 3.28 feet. Data outside the multibeam survey extent and greater than the surveyed water-surface elevation were obtained from data collected using aerial light detection and ranging (lidar) point cloud data. A linear enforcement technique was used to add points to the dataset in areas of sparse data (the upper ends of coves where the water was shallow or aquatic vegetation precluded data acquisition) based on surrounding multibeam and upland data values. The various point datasets were used to produce a three-dimensional triangulated irregular network surface of the lake-bottom elevations for each lake. A surface area and capacity table was produced from the three-dimensional surface for each lake showing surface area and capacity at specified lake water-surface elevations. Various quality-assurance tests were conducted to ensure quality data were collected with the multibeam, including beam angle checks and patch tests. Additional quality-assurance tests were conducted on the gridded bathymetric data from the survey, the bathymetric surface created from the gridded data, and the contours created from the bathymetric survey.
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U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Host species heterogeneity can drive parasite dynamics through variation in host competency as well as host abundance. We explored how elk (Cervus canadensis) with apparent subclinical infestations of winter tick (Dermacentor albipictus) may be a cryptic reservoir and drive winter tick dynamics, impacting moose (Alces alces) populations. We found that winter tick infestation loads did not vary remarkably between both host species and winter ticks sourced from elk and moose produced similar numbers of larvae which activated within 5 days of each other. We also found similar larval densities in habitats predominately used by elk, moose, and both host species. Our analysis of 2793 informative single-nucleotide polymorphisms showed genetic differentiation among tick populations that were only ~75 km apart, but fewer differences among ticks from elk or moose in the same locality, suggesting sharing of winter ticks across host species. Despite the clinical signs of high winter tick infestations being most apparent on moose, elk may be critical drivers of winter tick population dynamics and indirectly compete with moose in areas where they outnumber moose populations, a common characteristic of ungulate communities in western North America. Management interventions aimed at addressing winter tick issues on moose may wish to consider the movement patterns and abundance of cryptic reservoirs like elk.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70129","usgsCitation":"Koser, T., Martin, A., , C., Thompson, L., Wise, B., Fralick, G., Dewey, S., Girard, A., Scurlock, B., Rogerson, J.D., Oyen, K., and Cross, P., 2025, Winter tick sharing between ungulates in the Greater Yellowstone Ecosystem and implications for apparent competition: Ecosphere, v. 16, no. 1, e70129, 14 p., https://doi.org/10.1002/ecs2.70129.","productDescription":"e70129, 14 p.","ipdsId":"IP-166462","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488606,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70129","text":"Publisher Index Page"},{"id":484180,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Jackson","otherGeospatial":"Bridger-Teton National 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Superior","interactions":[],"lastModifiedDate":"2025-01-24T16:51:51.567776","indexId":"70262828","displayToPublicDate":"2025-01-22T10:48:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Using hydrogeologic context and water budgets to evaluate the potential for groundwater contributions to contaminants in Lake Superior","docAbstract":"This study presents a synthesis of the hydrogeology in the U.S. Lake Superior watershed and the contribution of groundwater to the water budget of the U.S. Lake Superior basin. Much of the shoreline of Lake Superior in Minnesota and Michigan is composed of hydrogeologic units contributing very little direct groundwater discharge to the lake. Groundwater in watersheds adjacent to the lake typically flows in short, local flow systems characterized by thin glacial sediments with active groundwater flow in fractured bedrock within the top 60–90 m below land surface. The complex groundwater system in Wisconsin’s Bayfield Peninsula has the largest groundwater reservoir near the lake, characterized by thick sand and gravel glacial deposits and underlying sandstone aquifer. Although these thick sandy glacial deposits are not in direct contact with the lake at the shoreline, groundwater discharge may still be significant via subsurface exposures beyond the shoreline or flow through the underlying sandstone aquifer. Overall, most groundwater in the watershed is contributed as indirect base flow in streams around the lakeshore and comprises about 60 percent of the upland water budget. Direct groundwater flow to the shoreline contributes 2 to 9 percent of the inflow. Identifying possible contamination sources through direct sampling of groundwater would be an inefficient way to detect problems if sources are unknown, particularly for some chemicals of concern such as PFAS, pesticides, PCBs, chloride, and nutrients. Evaluating the chemical characteristics of contamination is also important to consider in evaluating how groundwater may contribute to pollution in Lake Superior.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102402","usgsCitation":"Nielsen, M.G., and Martin, S., 2025, Using hydrogeologic context and water budgets to evaluate the potential for groundwater contributions to contaminants in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102402, 14 p., https://doi.org/10.1016/j.jglr.2024.102402.","productDescription":"102402, 14 p.","ipdsId":"IP-163245","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":489908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102402","text":"Publisher Index Page"},{"id":481143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Sherry Lynn 0000-0001-7471-0476","orcid":"https://orcid.org/0000-0001-7471-0476","contributorId":343444,"corporation":false,"usgs":true,"family":"Martin","given":"Sherry Lynn","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924941,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274783,"text":"70274783 - 2025 - Lake Superior fish community and fisheries, 2001–2022: An era of stability","interactions":[],"lastModifiedDate":"2026-04-09T15:48:14.095481","indexId":"70274783","displayToPublicDate":"2025-01-22T10:42:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lake Superior fish community and fisheries, 2001–2022: An era of stability","docAbstract":"Lake Superior is the least anthropogenically impacted of the Laurentian Great Lakes ecosystems, yet dramatic changes to the fish community are evident. Previous published works chronicled those changes and the efforts to rehabilitate the fish community through the year 2000. Here, we review through the year 2022, where post-rehabilitation stability was driven by lean lake trout (Salvelinus namaycush namaycush) as the most abundant piscivore in nearshore waters, siscowet lake trout (Salvelinus namaycush siscowet) as the most abundant piscivore in offshore waters, and a healthy, intact assemblage of native prey species, which created ecological redundancies and helped stabilize the food web. Stocking of non-native salmonines was reduced 74%, and populations of Chinook salmon (Oncorhynchus tshawytscha) and coho salmon (Oncorhynchus kisutch) were maintained through natural reproduction. Despite reduced stocking, yield from recreational fisheries was stable. Likewise, developments in population modeling led to evaluations and refinement of management strategies that helped create stability for lake trout, lake whitefish (Coregonus clupeaformis), and cisco (Coregonus artedi) fisheries. With lake trout rehabilitation achieved, focus shifted toward rehabilitation of native brook trout (Salvelinus fontinalis), lake sturgeon (Acipenser fulvescens), and walleye (Sander vitreus). Despite continued control efforts, sea lamprey (Petromyzon marinus) abundance increased considerably, and estimates of fish killed by lampreys averaged 2.65 million kg annually. Environmental changes have benefited sea lampreys and fostered thermal habitats more suitable to non-native organisms, posing new challenges for managers and researchers. Nevertheless, the post-rehabilitation stability in the contemporary fish community will help provide resilience to future perturbations in the ecosystem.
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are found along the Great Lakes, but the spatial extent and timing of river-related inundation and sedimentation vary greatly among natural and altered systems. We used hydrologic data, geomorphic change detection, and satellite imagery to study inundation and sedimentation patterns in the naturally dynamic estuary of the Bad River (Mashkiiziibii) that flows into Lake Superior (Anishinaabeg-gichigami), and the Kakagon River (Ogaakaagaang-ziibii) that flows into a sheltered bay (Chi-Kaamigong). In 2016, an extreme summer flood (annual exceedance probability < 0.2 %) caused total inundation of the 46-km2 estuary. Floods from the sediment-rich Bad River, with an annual exceedance probability of ≤ 50 %, have overflowed into the upper wetlands and channels of the Kakagon River about 60 times over the last 75 years, including 20 floods during the most recent 10-year wet period. Sedimentation patterns were associated with proximity to river channels, shoreline erosion, and wind action. Early winter ice-up coupled with a storm surge and an early spring snowmelt into the iced-over bay changed inundation duration and sedimentation patterns. Climate-change projections for more intense rainfall and warmer temperatures will likely cause more frequent flooding and sedimentation; however, patterns may differ depending on the timing of the floods relative to storm surges and ice formation, or other factors. The approach of integrating readily available data helped give a broader temporal and spatial context to the possible causes for inundation and sedimentation, some expected and others not, in natural and restored estuaries of the Great Lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102458","usgsCitation":"Fitzpatrick, F., Vaughan, A., Dantoin, E.D., Sterner, S.P., Reneau, P., and Roland, C., 2025, Effects of river floods and sedimentation on a naturally dynamic Great Lakes estuary: Journal of Great Lakes Research, v. 51, no. 1, 102458, 19 p., https://doi.org/10.1016/j.jglr.2024.102458.","productDescription":"102458, 19 p.","ipdsId":"IP-163441","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":488275,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102458","text":"Publisher Index Page"},{"id":483809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Bad River, Chequamegon Bay, Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.86741881591443,\n 46.74517791310441\n ],\n [\n -90.86741881591443,\n 46.59429411429369\n ],\n [\n -90.55858891028036,\n 46.59429411429369\n ],\n [\n -90.55858891028036,\n 46.74517791310441\n ],\n [\n -90.86741881591443,\n 46.74517791310441\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughan, Angus 0000-0001-9900-4658","orcid":"https://orcid.org/0000-0001-9900-4658","contributorId":302333,"corporation":false,"usgs":true,"family":"Vaughan","given":"Angus","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":931770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dantoin, Eric D. 0000-0002-8561-2924 edantoin@usgs.gov","orcid":"https://orcid.org/0000-0002-8561-2924","contributorId":2278,"corporation":false,"usgs":true,"family":"Dantoin","given":"Eric","email":"edantoin@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sterner, Shelby P. 0000-0002-3103-7960","orcid":"https://orcid.org/0000-0002-3103-7960","contributorId":292246,"corporation":false,"usgs":true,"family":"Sterner","given":"Shelby","email":"","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reneau, Paul 0000-0002-1335-7573","orcid":"https://orcid.org/0000-0002-1335-7573","contributorId":217293,"corporation":false,"usgs":true,"family":"Reneau","given":"Paul","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266326,"text":"70266326 - 2025 - Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","interactions":[],"lastModifiedDate":"2025-05-02T15:01:52.854811","indexId":"70266326","displayToPublicDate":"2025-01-22T09:56:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","title":"Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)","docAbstract":"The excessive growth of harmful cyanobacteria, including Dolichospermum (formerly known as Anabaena), in freshwater bodies has become a pressing global concern. However, detailed information about the role of Dolichospermum in shaping bloom dynamics and producing cyanotoxins is limited. In this study, a bloom event dominated by Dolichospermum spp. at Detroit Lake (Oregon, USA) was examined from 2019 to 2021. In 2019, early summer cyanobacterial community succession reached up to 8.7 % of total phytoplankton abundance. Dolichospermum was the major microcystin (MC)-producing genus, with peak MC levels of 7.34 μg L−1. The presence of MCs was strongly correlated with the abundance of Dolichospermum (r = 0.84, p < 0.05) and MC synthetase gene, mcyE-Ana (r = 0.63, p < 0.05). Metabolic analyses further showed that the presence of nif/pst genes linked to nitrogen and phosphorus metabolism was dominated by Dolichospermum from the bloom onset until September. In addition, the abundance of Dolichospermum was significantly correlated with the abundance of nitrogen-fixing nif-Ana gene (r = 0.62, p < 0.05). As the lake experienced a longer N and P scarcity period (May to September), the N2-fixing Dolichospermum was able to dominate over other non-fixing cyanobacteria present, including Microcystis and Planktothrix. Overall, our results facilitate a better understanding of the organism and will help working toward managing/predicting future blooms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.102802","usgsCitation":"Jeon, Y., Ian Struewing, Kale Clausen, Nathan Reetz, Ned Fairchild, Lacey Goeres-Priest, Theo Dreher, Rochelle Labiosa, Carpenter, K.D., Barry Rosen, Eric Villegas, and Jingrang Lu, 2025, Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA): Harmful Algae, v. 142, 102802, 10 p., https://doi.org/10.1016/j.hal.2025.102802.","productDescription":"102802, 10 p.","ipdsId":"IP-166680","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499603,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11864590/","text":"External Repository"},{"id":485327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Detroit Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.11158768390071,\n 44.7533324620162\n ],\n [\n -122.27304079384393,\n 44.7533324620162\n ],\n [\n -122.27304079384393,\n 44.66885073197324\n ],\n [\n -122.11158768390071,\n 44.66885073197324\n ],\n [\n -122.11158768390071,\n 44.7533324620162\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeon, Youchul","contributorId":354420,"corporation":false,"usgs":false,"family":"Jeon","given":"Youchul","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ian Struewing","contributorId":354421,"corporation":false,"usgs":false,"family":"Ian Struewing","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kale Clausen","contributorId":354422,"corporation":false,"usgs":false,"family":"Kale Clausen","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nathan Reetz","contributorId":354423,"corporation":false,"usgs":false,"family":"Nathan Reetz","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ned Fairchild","contributorId":354424,"corporation":false,"usgs":false,"family":"Ned Fairchild","affiliations":[{"id":84630,"text":"Oregon DEQ","active":true,"usgs":false}],"preferred":false,"id":935620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lacey Goeres-Priest","contributorId":354425,"corporation":false,"usgs":false,"family":"Lacey Goeres-Priest","affiliations":[{"id":84631,"text":"City of Salem","active":true,"usgs":false}],"preferred":false,"id":935621,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theo Dreher","contributorId":354426,"corporation":false,"usgs":false,"family":"Theo Dreher","affiliations":[{"id":84632,"text":"OSU (retired)","active":true,"usgs":false}],"preferred":false,"id":935622,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rochelle Labiosa","contributorId":354427,"corporation":false,"usgs":false,"family":"Rochelle Labiosa","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935623,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carpenter, Kurt D. 0000-0002-6231-8335 kdcar@usgs.gov","orcid":"https://orcid.org/0000-0002-6231-8335","contributorId":127442,"corporation":false,"usgs":true,"family":"Carpenter","given":"Kurt","email":"kdcar@usgs.gov","middleInitial":"D.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":935624,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Barry Rosen","contributorId":354428,"corporation":false,"usgs":false,"family":"Barry Rosen","affiliations":[{"id":84633,"text":"FGCU","active":true,"usgs":false}],"preferred":false,"id":935625,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Eric Villegas","contributorId":354429,"corporation":false,"usgs":false,"family":"Eric Villegas","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935626,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jingrang Lu","contributorId":354430,"corporation":false,"usgs":false,"family":"Jingrang Lu","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":935627,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70268258,"text":"70268258 - 2025 - Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands","interactions":[],"lastModifiedDate":"2025-06-18T14:49:21.713746","indexId":"70268258","displayToPublicDate":"2025-01-22T09:42:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands","docAbstract":"Current estimates of wetland contributions to the global methane budget carry high uncertainty, particularly in accurately predicting emissions from high methane-emitting wetlands. Microorganisms drive methane cycling, but little is known about their conservation across wetlands. To address this, we integrate 16S rRNA amplicon datasets, metagenomes, metatranscriptomes, and annual methane flux data across 9 wetlands, creating the Multi-Omics for Understanding Climate Change (MUCC) v2.0.0 database. This resource is used to link microbiome composition to function and methane emissions, focusing on methane-cycling microbes and the networks driving carbon decomposition. We identify eight methane-cycling genera shared across wetlands and show wetland-specific metabolic interactions in marshes, revealing low connections between methanogens and methanotrophs in high-emitting wetlands. Methanoregula emerged as a hub methanogen across networks and is a strong predictor of methane flux. In these wetlands it also displays the functional potential for methylotrophic methanogenesis, highlighting the importance of this pathway in these ecosystems. Collectively, our findings illuminate trends between microbial decomposition networks and methane flux while providing an extensive publicly available database to advance future wetland research.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-56133-0","usgsCitation":"Bechtold, E., Ellenbogen, J., Villa, J.A., de Melo Ferreira, D., Oliverio, A., Kostka, J., Rich, V.I., Varner, R.K., Bansal, S., Ward, E.J., Bohrer, G., Borton, M., Wrighton, K.C., and Wilkins, M., 2025, Metabolic interactions underpinning high methane fluxes across terrestrial freshwater wetlands: Nature Communications, v. 16, 944, 15 p., https://doi.org/10.1038/s41467-025-56133-0.","productDescription":"944, 15 p.","ipdsId":"IP-166828","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":491016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-56133-0","text":"Publisher Index Page"},{"id":490909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2025-01-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bechtold, Emily","contributorId":357031,"corporation":false,"usgs":false,"family":"Bechtold","given":"Emily","affiliations":[],"preferred":false,"id":940617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellenbogen, Jared B.","contributorId":357034,"corporation":false,"usgs":false,"family":"Ellenbogen","given":"Jared B.","affiliations":[],"preferred":false,"id":940618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Jorge A.","contributorId":343780,"corporation":false,"usgs":false,"family":"Villa","given":"Jorge","email":"","middleInitial":"A.","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":940619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Melo Ferreira, Djennyfer K.","contributorId":357037,"corporation":false,"usgs":false,"family":"de Melo Ferreira","given":"Djennyfer K.","affiliations":[],"preferred":false,"id":940620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oliverio, Angela M.","contributorId":357040,"corporation":false,"usgs":false,"family":"Oliverio","given":"Angela M.","affiliations":[],"preferred":false,"id":940621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kostka, Joel E.","contributorId":357043,"corporation":false,"usgs":false,"family":"Kostka","given":"Joel E.","affiliations":[],"preferred":false,"id":940622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rich, Virginia I.","contributorId":346827,"corporation":false,"usgs":false,"family":"Rich","given":"Virginia","email":"","middleInitial":"I.","affiliations":[{"id":18950,"text":"Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA","active":true,"usgs":false}],"preferred":false,"id":940623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Varner, Ruth K.","contributorId":346749,"corporation":false,"usgs":false,"family":"Varner","given":"Ruth","email":"","middleInitial":"K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":940624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":940625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ward, Eric J.","contributorId":337357,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":61805,"text":"Northwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":940626,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bohrer, Gil 0000-0002-9209-9540","orcid":"https://orcid.org/0000-0002-9209-9540","contributorId":217401,"corporation":false,"usgs":false,"family":"Bohrer","given":"Gil","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":940627,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Borton, Mikayla A.","contributorId":357046,"corporation":false,"usgs":false,"family":"Borton","given":"Mikayla A.","affiliations":[],"preferred":false,"id":940628,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wrighton, Kelly C.","contributorId":152635,"corporation":false,"usgs":false,"family":"Wrighton","given":"Kelly","email":"","middleInitial":"C.","affiliations":[{"id":18950,"text":"Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA","active":true,"usgs":false}],"preferred":false,"id":940629,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wilkins, Michael J.","contributorId":357049,"corporation":false,"usgs":false,"family":"Wilkins","given":"Michael J.","affiliations":[],"preferred":false,"id":940630,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70263436,"text":"70263436 - 2025 - Food web structure of the Lake Superior fish community in 2021–2022","interactions":[],"lastModifiedDate":"2025-02-11T14:55:11.830271","indexId":"70263436","displayToPublicDate":"2025-01-22T08:51:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Food web structure of the Lake Superior fish community in 2021–2022","docAbstract":"The trophic linkages and ecological requirements of the Lake Superior fish community have not been assessed on a whole lake scale in over a decade. Here, we investigated the trophic dynamics across multiple species and habitat zones of Lake Superior. From April to October of 2021 and 2022, a total of five piscivore, four planktivore, and six benthivore species were collected by region and length class during bottom-trawl, standard gillnet, commercial cisco gillnet, and recreational angler surveys. To assess trophic linkages, stomach contents were measured to estimate biomass consumed and a multivariate analysis was used to assess diet composition by species, length, and region. We found a high degree of interconnectedness in the Lake Superior food web, with Mysis as a critical diet item for most fishes. Native piscivore diets varied by region and with ontogeny. Lake charr were important habitat couplers in the lake, exhibiting a diverse diet and opportunistic foraging strategy. Conversely, Pacific salmon were more restricted in their foraging. Planktivores and benthivores primarily consumed Mysis, with less reliance on Diporeia compared to previous studies. Lake whitefish and cisco were the exception to this pattern, with broader bathymetric depth distributions represented in their diets. We found the food web to be supported by a predominantly native species assemblage, with redundancies at all trophic levels.
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