Petromyzon marinus (sea lamprey) is a parasitic, invasive fish of the Laurentian Great Lakes. Since the late 1950s, the Great Lakes Fishery Commission has implemented an integrated Sea Lamprey Control Program (SLCP) that relies on two lampricidal chemicals: 3-(trifluoromethyl)-4-nitrophenol (TFM) and niclosamide. Niclosamide is applied using a bayluscide 20-percent emulsifiable concentrate; however, a solvent in this formulation, N-methyl-2-pyrrolidone, has been linked with worker safety concerns and has contributed to equipment degradation and clogging. To address these limitations, the U.S. Geological Survey, in collaboration with Battelle UK, developed a bayluscide 20-percent suspension concentrate (SC) as a potential alternative formulation.
In this study, we evaluated the field performance of SC on the Indian River in Schoolcraft County, Michigan. The objective was to assess the formulation’s compatibility with SLCP application procedures and equipment, and to determine its ability to deliver precise lampricide concentrations in a timely manner. SC was found to dilute easily with stream water and readily combined with TFM. As a result, target lampricide concentrations in the stream were achieved within 1 hour of initiating delivery. Moreover, concentrations remained within 9 percent of target values, with less than 2 percent variation across the width of the stream, demonstrating consistent and uniform distribution. These findings indicate that SC can support accurate and timely lampricide applications. When considered alongside previous research highlighting its favorable selectivity for sea lamprey and improved environmental safety, the results support the pursuit of registration and adoption of SC as a new tool for controlling invasive sea lamprey.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261067","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service Sea Lamprey Control Program","usgsCitation":"Carmosini, N., Schueller, J.R., Kirkeeng, C.A., Wood, A.M., Criger, L.A., and Luoma, J.A., 2026, Field performance evaluation of a bayluscide 20-percent suspension concentrate formulation (ver. 1.1, March 19, 2026): U.S. Geological\nSurvey Open-File Report 2026–1067, 9 p., https://doi.org/10.3133/ofr20261067.","productDescription":"Report: vii, 9; Data Release","numberOfPages":"9","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-177724","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":500972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1067/coverthb2.jpg"},{"id":500976,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1067/images/"},{"id":500975,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1067 XML"},{"id":500973,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1067/ofr20261067.pdf","size":"961 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1067 PDF"},{"id":500974,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261067/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1067 HTML"},{"id":500977,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1ZIEH77","text":"USGS Data Release","linkHelpText":"Evaluation of bayluscide 20% suspension concentrate formulation field performance (Indian River, Schoolcraft County, MI)"},{"id":501267,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2026/1067/versionHist.txt","text":"Version History","size":"1 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Michigan","county":"Schoolcraft County","otherGeospatial":"Indian River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86.25,\n 45.98\n ],\n [\n -86.25,\n 45.97\n ],\n [\n -86.23,\n 45.97\n ],\n [\n -86.23,\n 45.98\n ],\n [\n -86.25,\n 45.98\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: March 17, 2026; Version 1.1: March 19, 2026","contact":"Center Director, Upper Midwest Ecological Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Submarine canyons are incised features of many continental margins that can have significant influence on the hydrodynamic distribution of sediments and organic matter eroded and deposited from the continents. Baltimore Canyon, on the mid-Atlantic margin of the United States, contains a complex set of sedimentary processes that simultaneously create unique benthic habitats and control the deposition of organic matter. Along the canyon axis, loci of net erosion, net deposition, and intense winnowing each host diverse faunal assemblages and varying mixtures of sedimentary organic matter derived both from production in the overlying water column and from mobilized sediments. Bioavailable components of this deposited organic matter sustain benthic communities, while recalcitrant components can contribute to long-term carbon burial in the deep sea. However, commonly employed bulk geochemical analyses provide little information about the relative bioavailability or depositional history of sedimentary organic matter. Here we employ a range of organic and isotopic analyses to explore in more detail how canyon-specific sediment dynamics determine the sorting of organic matter from shelf to open ocean. In combination with bulk geochemical characteristics, we subjected surface sediments from water depths of ∼200–1200 m in Baltimore Canyon to a sequential extraction procedure, isolating nonpolar and polar lipid classes, an acid-soluble fraction, and an acid-insoluble fraction. Each class was analyzed for carbon and nitrogen quantities and stable isotope ratios, and radiocarbon content where possible, along with compound-specific carbon and nitrogen isotope analysis of individual amino acids in the acid-hydrolysed fraction. We find different organic matter sources and depositional history recorded in the properties of younger, bioavailable organic matter components (polar lipids, amino acids) in comparison to the older, more recalcitrant components (nonpolar lipids, acid-insoluble fraction). These differences in source and bioavailability of organic matter vary along the canyon, correlating with grain size and erosion/deposition dynamics, and may help shape the benthic faunal assemblages. Additionally, our results suggest that determining the relative concentrations of acid-soluble and acid-insoluble organic matter may provide an easily accessible method to improve our understanding of the nutritional quality of sediments for benthic fauna than more commonly used bulk carbon or nitrogen concentrations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2026.03.029","usgsCitation":"Close, H.G., McCarthy, M.G., and Prouty, N.G., 2026, Organic and isotopic indicators for sorting of sedimentary organic matter along a marginal submarine canyon: Geochimica et Cosmochimica Acta, v. 421, p. 375-390, https://doi.org/10.1016/j.gca.2026.03.029.","productDescription":"16 p.","startPage":"375","endPage":"390","ipdsId":"IP-176938","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503999,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Baltimore Canyon, Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.60984786407985,\n 39.80856518270599\n ],\n [\n -75.60984786407985,\n 38.71634988341253\n ],\n [\n -74.76509645676569,\n 38.71634988341253\n ],\n [\n -74.76509645676569,\n 39.80856518270599\n ],\n [\n -75.60984786407985,\n 39.80856518270599\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"421","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Close, Hilary G.","contributorId":199931,"corporation":false,"usgs":false,"family":"Close","given":"Hilary","middleInitial":"G.","affiliations":[],"preferred":false,"id":961144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Matthew G.","contributorId":371167,"corporation":false,"usgs":false,"family":"McCarthy","given":"Matthew","middleInitial":"G.","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":961145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276384,"text":"70276384 - 2026 - Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin","interactions":[],"lastModifiedDate":"2026-06-03T14:06:16.933806","indexId":"70276384","displayToPublicDate":"2026-03-19T08:55:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin","docAbstract":"Groundwater depletion for agricultural irrigation poses significant environmental and economic challenges. This study introduces a proof-of-concept that combines hydro-economic modeling, scenario-based modeling, and multi-objective optimization to manage pumping curtailment in an over-allocated basin in the western United States. Three optimization scenarios were evaluated, each offering different degrees of management flexibility. Results reveal that scenarios with finer spatial resolution achieved greater environmental benefits per unit profit loss. Additionally, strategies allowing fractional reductions in curtailed wells–rather than complete shutdowns based on water rights seniority–substantially improved efficiency, highlighting the value of increased decision-making flexibility. Although scenario testing can aid stakeholder engagement and strategy exploration, multi-objective optimization provides a systematic framework to quantify tradeoffs between competing objectives. This combined approach demonstrates promise for building consensus and supporting the design of sustainable water management strategies that balance agricultural livelihoods with ecosystem preservation.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70051","usgsCitation":"Markovich, K.H., Fienen, M., Corson-Dosch, N., Cecile Coulon, White, J., and Gingerich, S., 2026, Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin: Groundwater, v. 64, no. 3, p. 278-294, https://doi.org/10.1111/gwat.70051.","productDescription":"17 p.","startPage":"278","endPage":"294","ipdsId":"IP-177124","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":505049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70051","text":"Publisher Index Page"},{"id":504958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.66994789891172,\n 44.30821146835248\n ],\n [\n -117.67673039786303,\n 44.30821146835248\n ],\n [\n -117.67673039786303,\n 42.24886285412916\n ],\n [\n -119.66994789891172,\n 42.24886285412916\n ],\n [\n -119.66994789891172,\n 44.30821146835248\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Markovich, Katherine H. 0000-0002-4455-8255","orcid":"https://orcid.org/0000-0002-4455-8255","contributorId":221065,"corporation":false,"usgs":true,"family":"Markovich","given":"Katherine","middleInitial":"H.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecile Coulon 0000-0001-9722-9976","orcid":"https://orcid.org/0000-0001-9722-9976","contributorId":371714,"corporation":false,"usgs":false,"family":"Cecile Coulon","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":962280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":962281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gingerich, Stephen 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":220301,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276538,"text":"70276538 - 2026 - Landscape composition and proximity to water affect American badger occupancy in shortgrass prairies","interactions":[],"lastModifiedDate":"2026-06-09T15:06:02.040577","indexId":"70276538","displayToPublicDate":"2026-03-19T07:59:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17053,"text":"Wildlife Letters","active":true,"publicationSubtype":{"id":10}},"title":"Landscape composition and proximity to water affect American badger occupancy in shortgrass prairies","docAbstract":"Land use change in prairie ecosystems is pervasive. Prairie obligate species may be affected by these changes, though many carnivore-specific examples are unknown. We used 3 years (2018–2020) of camera-trap (n = 381) data from Kansas, USA, to assess multiscale effects of landscape composition on habitat use by American badgers (badger, Taxidea taxus). We predicted that site occupancy and colonization would be positively associated with the amount of prairie surrounding sites. We also predicted that site occupancy and colonization would be negatively related to amounts of agriculture and the number of wind towers surrounding sites. Badgers were insensitive to amounts of prairie surrounding sites and likely to occupy and colonize sites surrounded by row-crop agriculture. Badgers were also less likely to occupy sites farther from permanent water. Badgers may be exploiting agricultural areas because of increased prey densities or suitable burrowing substrates. Moreover, our study highlights the importance of water resources to badgers in arid regions.
","language":"English","publisher":"Wiley","doi":"10.1002/wll2.70032","usgsCitation":"Piper, C.W., Werdel, T.J., Peek, M.S., Ricketts, A.M., Sullins, D.S., and Ahlers, A.A., 2026, Landscape composition and proximity to water affect American badger occupancy in shortgrass prairies: Wildlife Letters, v. 4, no. 1, p. 23-31, https://doi.org/10.1002/wll2.70032.","productDescription":"9 p.","startPage":"23","endPage":"31","ipdsId":"IP-181098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"western Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.05382644882415,\n 40.08500293646597\n ],\n [\n -99.21851561946922,\n 40.108483299721826\n ],\n [\n -99.23568068811487,\n 36.99811141637585\n ],\n [\n -101.95235626939443,\n 36.97390413075543\n ],\n [\n -102.05382644882415,\n 40.08500293646597\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Piper, Colleen W.","contributorId":371973,"corporation":false,"usgs":false,"family":"Piper","given":"Colleen","middleInitial":"W.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werdel, Ty J.","contributorId":371974,"corporation":false,"usgs":false,"family":"Werdel","given":"Ty","middleInitial":"J.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":962624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peek, Matt S.","contributorId":371975,"corporation":false,"usgs":false,"family":"Peek","given":"Matt","middleInitial":"S.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricketts, Andrew M.","contributorId":371976,"corporation":false,"usgs":false,"family":"Ricketts","given":"Andrew","middleInitial":"M.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullins, Daniel Shelby 0000-0002-9936-5493","orcid":"https://orcid.org/0000-0002-9936-5493","contributorId":371977,"corporation":false,"usgs":true,"family":"Sullins","given":"Daniel","middleInitial":"Shelby","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahlers, Adam A.","contributorId":371978,"corporation":false,"usgs":false,"family":"Ahlers","given":"Adam","middleInitial":"A.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962628,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275328,"text":"70275328 - 2026 - Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)","interactions":[],"lastModifiedDate":"2026-04-29T14:41:37.77612","indexId":"70275328","displayToPublicDate":"2026-03-19T07:31:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)","docAbstract":"Through the U.S. Great Lakes Restoration Initiative, a 10-year, multiagency chemical monitoring effort was undertaken across the Great Lakes. In this effort, 586 chemicals were monitored and 334 were detected in grab/composite water samples. To help inform potential future actions, a stepwise prioritization framework was used to identify compounds for which publicly accessible water quality guidelines or effects information suggested there was potential aquatic ecotoxicity. Because water quality guidelines were only available for some chemicals, this framework used apical toxicity data collated from publicly accessible databases (e.g., the ECOTOXicology Knowledgebase) and alternative data, including literature-derived non-apical effect concentrations, in vitro bioactivities from high-throughput screening, and modeled ecotoxicity. To account for the diverse levels of confidence in these data, chemicals were prioritized within specific action categories, which suggested potential management or experimental activities that may be considered based on the types of data available for each compound. Overall, 11 detected chemicals were identified as high priority in different action categories. This included four chemicals prioritized for environmental management or targeted risk assessment, three chemicals prioritized for effects-based monitoring, one chemical prioritized for apical effects assessment, and three chemicals targeted for non-apical effects evaluation. This framework also identified 164 low-priority chemicals, among which more than 50% were prioritized based on water quality guidelines or apical effect concentrations (thus could be considered low priority for future risk assessment or management activities). Results aim to help regulatory agencies, environmental managers, and other stakeholders focus available resources on carrying out monitoring, experimental, and risk assessments for the chemicals that display the greatest potential to adversely impact Great Lakes ecosystems.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf069","usgsCitation":"Maloney, E.M., Corsi, S., Pronschinske, M.A., DeCicco, L.A., Frisch, J.R., Fuller, N., Baldwin, A.K., Kimbrough, K., Edwards, M., Hummel, S.L., Vinas, N.G., and Villeneuve, D.L., 2026, Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018): Environmental Toxicology and Chemistry, v. 44, no. 7, p. 2048-2069, https://doi.org/10.1093/etojnl/vgaf069.","productDescription":"22 p.","startPage":"2048","endPage":"2069","ipdsId":"IP-167131","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf069","text":"Publisher Index Page"},{"id":503621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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mpronschinske@usgs.gov","orcid":"https://orcid.org/0000-0001-9787-4545","contributorId":295961,"corporation":false,"usgs":true,"family":"Pronschinske","given":"Matthew","email":"mpronschinske@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":215381,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Frisch, John R.","contributorId":370608,"corporation":false,"usgs":false,"family":"Frisch","given":"John","middleInitial":"R.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":960580,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Niel","contributorId":370609,"corporation":false,"usgs":false,"family":"Fuller","given":"Niel","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":960581,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960582,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kimbrough, Kimani","contributorId":370610,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Kimani","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":960583,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Michael","contributorId":370611,"corporation":false,"usgs":false,"family":"Edwards","given":"Michael","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":960584,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hummel, Stephanie L.","contributorId":370612,"corporation":false,"usgs":false,"family":"Hummel","given":"Stephanie","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":960585,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vinas, Natalia G.","contributorId":370613,"corporation":false,"usgs":false,"family":"Vinas","given":"Natalia","middleInitial":"G.","affiliations":[{"id":87643,"text":"US Army Engineer Research and Development Centre","active":true,"usgs":false}],"preferred":false,"id":960586,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Villeneuve, Daniel L.","contributorId":370614,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel","middleInitial":"L.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":960587,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70274325,"text":"70274325 - 2026 - Deep critical zone controls on shallow landslides","interactions":[],"lastModifiedDate":"2026-03-26T19:40:22.332984","indexId":"70274325","displayToPublicDate":"2026-03-18T12:36:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deep critical zone controls on shallow landslides","docAbstract":"The deep critical zone (CZ) has long been recognized for its importance in influencing shallow landslides but was not considered feasible to include in slope stability models at the watershed scale. In this study, we demonstrate that simple approximations of the CZ in a fully coupled hydrologic and soil slope stability model can effectively capture the location, timing, and likely size of shallow landslides. To achieve this, we use coupled, process-based models that incorporate the effects of 1) deep CZ structures, 2) three-dimensional transient hydrology, and 3) multidimensional slope stability, calibrated with data from an intensively monitored field site. Our results show that the hydrologically active deep CZ guides groundwater flow, influencing where it drains from or exfiltrates to the soil mantle, producing distinct patterns of soil saturation and seepage forces at the soil-bedrock boundary. Deep conductive weathered critical zone drains the soil mantle, reducing the likelihood of destabilizing pore pressures, while the downslope thinning of the CZ forces groundwater to the surface. This creates localized instability and a tendency for similar-sized landslides across the landscape. In contrast, the absence of conductive weathered bedrock results in more widespread destabilizing pore pressures, leading to larger landslides and the likelihood of landslides earlier in a storm than in landscapes underlain by a deep CZ. Our findings suggest that first-order variations of deep CZ can provide physical explanations for variations observed in the susceptibility, magnitude, and timing of shallow landslides, and that CZ structure may be inferred from patterns and timing of landsliding.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2524542123","usgsCitation":"Moon, S., Formetta, G., Higa, J.T., Busti, R., Bellugi, D.G., Milledge, D.G., Ebel, B., and Dietrich, W.E., 2026, Deep critical zone controls on shallow landslides: Proceedings of the National Academy of Sciences, v. 123, no. 12, e2524542123, 12 p., https://doi.org/10.1073/pnas.2524542123.","productDescription":"e2524542123, 12 p.","ipdsId":"IP-159353","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2524542123","text":"Publisher Index Page"},{"id":501638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"12","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":957885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Formetta, Giuseppe 0000-0002-0252-1462","orcid":"https://orcid.org/0000-0002-0252-1462","contributorId":210296,"corporation":false,"usgs":false,"family":"Formetta","given":"Giuseppe","email":"","affiliations":[{"id":38100,"text":"Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":957886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higa, Justin T.","contributorId":367913,"corporation":false,"usgs":false,"family":"Higa","given":"Justin","middleInitial":"T.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":957887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busti, Riccardo","contributorId":367914,"corporation":false,"usgs":false,"family":"Busti","given":"Riccardo","affiliations":[{"id":25322,"text":"University of Trento","active":true,"usgs":false}],"preferred":false,"id":957888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino G.","contributorId":367915,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","middleInitial":"G.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milledge, David G.","contributorId":367916,"corporation":false,"usgs":false,"family":"Milledge","given":"David","middleInitial":"G.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":957890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, William E.","contributorId":367923,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","middleInitial":"E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274194,"text":"sir20265143 - 2026 - Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals","interactions":[],"lastModifiedDate":"2026-03-19T13:54:51.847251","indexId":"sir20265143","displayToPublicDate":"2026-03-18T12:21:23","publicationYear":"2026","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":"2026-5143","displayTitle":"Urban Stormwater Treatment Using Biofiltration—Variable Performance Across Solids, Nutrients, Major Ions, and Metals","title":"Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals","docAbstract":"Urban runoff from streets and parking lots carries pollutants that degrade receiving waters. Green infrastructure, such as biofilters, is increasingly used to treat this runoff by mimicking natural hydrologic processes. The U.S. Geological Survey, in cooperation with the Milwaukee Metropolitan Sewerage District, evaluated a biofilter receiving roadway runoff from an industrial area in Milwaukee, Wisconsin, over a 3-year period (2022–24). Paired inlet and outlet samples were analyzed for changes in runoff volume, peak discharge, and concentrations of solids, nutrients, major ions, and metals. The biofilter reduced runoff volume by 86 percent and peak discharge by 92 percent, with substantial reductions in total suspended solids (99 percent), total phosphorus (86 percent), and particulate metals (greater than 80 percent for most analytes). However, dissolved constituents showed variable performance; dissolved phosphorus and several metals exhibited net export, likely influenced by media composition, redox conditions, and winter road salt inputs. Sodium export, despite stable chloride loads, suggests cation exchange and seasonal release dynamics. These findings highlight limitations of conventional biofilter designs for dissolved pollutants and underscore the need for improved media, vegetation management, and consideration of winter deicing practices.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265143","collaboration":"Prepared in cooperation with the Milwaukee Metropolitan Sewerage District","usgsCitation":"Selbig, W.R., and Romano, J., 2026, Urban stormwater treatment using biofiltration—Variable performance across solids, nutrients, major ions, and metals: U.S. Geological Survey Scientific Investigations Report 2026–5143, 27 p., https://doi.org/10.3133/sir20265143.","productDescription":"Report: vii, 27 p.; Data Release","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179736","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500779,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5143/coverthb.jpg"},{"id":500780,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5143/sir20265143.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5143"},{"id":500781,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5143/sir20265143.XML"},{"id":500782,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5143/images/"},{"id":500783,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265143/full"},{"id":500784,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13E8BMK","text":"USGS data release","linkHelpText":"Water quality concentration and load data for a biofilter at Green Tech Station in Milwaukee, Wisconsin, 2022–24"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Green Tech Station stormwater plaza","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.95385389802549,\n 43.092593420276046\n ],\n [\n -87.95385389802549,\n 43.09035056067961\n ],\n [\n -87.9520609229932,\n 43.09035056067961\n ],\n [\n -87.9520609229932,\n 43.092593420276046\n ],\n [\n -87.95385389802549,\n 43.092593420276046\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
Urban stormwater runoff can carry sediment, nutrients, salts, and metals into nearby rivers and lakes, contributing to flooding and water-quality problems. To reduce these impacts, communities are increasingly using shallow, planted systems called biofilters to capture and soak up runoff. This study evaluates how well a biofilter in Milwaukee, Wisconsin, performed over three years and what its results mean for managing stormwater in urban areas.
The biofilter was highly effective at managing stormwater volume and flow. On average, it reduced the amount of runoff leaving the site by 86 percent and reduced peak flow rates by 92 percent. These reductions help lower the risk of flooding downstream, especially during heavy rain.
The biofilter also worked very well at removing pollutants attached to soil and debris. Nearly all suspended sediment was removed, and total phosphorus was reduced by more than 80 percent. Most metals attached to sediment, such as lead and copper, were also greatly reduced. These results show that biofilters are reliable tools for controlling particulate forms of pollutants from roads, even when sediment loads are high.
However, the biofilter was less effective at treating dissolved phase pollutants. For example, dissolved phosphorus and several dissolved metals, including iron and manganese, were often higher in water leaving the biofilter than in water entering it. Sodium, a major component of road salt, was also released from the system at times. Export of dissolved phase pollutants from the biofilter likely reflects interactions between runoff, organic material in the soil, and winter deicing practices. Improving soil mixtures, managing vegetation, and reducing salt inputs may help biofilters better protect urban water quality in the future.
","publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romano, James 0000-0002-1885-2178","orcid":"https://orcid.org/0000-0002-1885-2178","contributorId":366936,"corporation":false,"usgs":true,"family":"Romano","given":"James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956898,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274237,"text":"sir20265131 - 2026 - Investigation of fish communities in natural channel sections of the Mohawk River, New York","interactions":[],"lastModifiedDate":"2026-05-12T13:27:53.104614","indexId":"sir20265131","displayToPublicDate":"2026-03-18T11:18:07","publicationYear":"2026","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":"2026-5131","displayTitle":"Investigation of Fish Communities in Natural Channel Sections of the Mohawk River, New York","title":"Investigation of fish communities in natural channel sections of the Mohawk River, New York","docAbstract":"Little is known about the natural resources in the natural channel sections of the Mohawk River between Rome and Frankfort, New York, where the river channel runs separately from and parallel to the Erie Canal. This river section runs through multiple locations that are listed as active remediation sites under New York’s Inactive Hazardous Waste Disposal Site Program and has negligible public or commercial access. As a result, there is minimal recreational usage of this river section, and efforts to conduct biological sampling have been limited. To better understand the composition of fish communities and contaminant concentrations in the natural channel of the Mohawk River, the U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, sampled resident fish in the 34-kilometer section from the mouth of Oriskany Creek downstream to Frankfort. Fish communities were sampled using boat electrofishing during 2021, 2023, and 2024 across multiple reaches within this section. These data were used to estimate species richness (number of species), relative abundance and biomass (catch rates), population size structure (distribution of lengths), and fish condition (a proxy for health). Some gamefish specimens were also analyzed to determine contaminant concentrations in fish tissue.
A total of 1,531 individual fish and 38 fish species were captured across all surveys. Seventeen of the 38 (45 percent) species were classified as native to the Mohawk River watershed, whereas 21 of the 38 (55 percent) species were classified as nonnative. Some popular gamefish species such as largemouth bass (Micropterus salmoides) and smallmouth bass (Micropterus dolomieu) were abundant in most reaches, whereas others such as walleye (Sander vitreus) and northern pike (Esox lucius) were found sporadically. Only one round goby (Neogobius melanostomus) was captured, indicating that this high-profile invasive species remains uncommon in this habitat. A backwater reach had the greatest relative abundance and condition of many species. This indicates connected lentic habitats such as oxbows and backwaters may be important nursery and refuge areas in the aquatic ecosystem.
Polychlorinated biphenyl (PCB) concentrations in fish tissue were highly elevated relative to the New York State Department of Health (NYSDOH) fish consumption “don’t eat” advisory guideline. Some specimens exceeded the guideline by an order of magnitude or more, particularly those from a localized area downstream from the Utica Harbor Dam. Concentrations of perfluorooctanesulfonic acid (PFOS) often approached the NYSDOH “don’t eat” consumption guideline but only one sample exceeded the guideline. Concentrations of other contaminants such as mercury and pesticides were consistently measured at less than the “don’t eat” consumption guidelines. These data indicate PCBs remain the primary contaminant of concern in the natural channel of the Mohawk River and are readily bioaccumulating in aquatic organisms despite prior remediation measures. Taken together, the findings in this report are intended to inform future decisions related to fisheries management, public access, recreational usage, and fish consumption advisories.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265131","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"George, S.D., Sadekoski, T.R., Darling, M.J., Baldigo, B.P., Wells, S.M., Erway, D.B., Conine, A.L., Becker, J.C., and Dieterle, K.J., 2026, Investigation of fish communities in natural channel sections of the Mohawk River, New York:\nU.S. Geological Survey Scientific Investigations Report 2026–5131, 20 p., https://doi.org/10.3133/sir20265131.","productDescription":"Report: ix, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-177241","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501250,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5131/sir20265131.pdf","text":"Report","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5131"},{"id":501249,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5131/coverthb.jpg","linkHelpText":"https://pubs.usgs.gov/manager/#links-pane"},{"id":501252,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5131/sir20265131.XML","description":"SIR 2026-5131 XML"},{"id":501253,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5131/images"},{"id":501254,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13JVPW7","text":"USGS Data Release","linkHelpText":"Fish Community Data from Natural Channel Sections of the Mohawk River, NY (ver. 1.1, January 2026)"},{"id":501404,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119322.htm","linkFileType":{"id":5,"text":"html"}},{"id":502179,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265131/full","text":"HTML Document","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5131 HTML"}],"country":"United States","state":"New York","otherGeospatial":"Mohawk River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.00127321730884,\n 43\n ],\n [\n -75.00127321730884,\n 43.1667\n ],\n [\n -75.333,\n 43.1667\n ],\n [\n -75.333,\n 43\n ],\n [\n -75.00127321730884,\n 43\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Saltwater is migrating into freshwater aquifers globally with water quality and biogeochemical implications, yet saltwater intrusion in glaciated regions is sparsely investigated. Field observations suggest that groundwater head in glaciated systems is influenced by ice sheet forcings and provides evidence that seawater infiltrated into offshore aquifers during past deglaciation events. To understand links between ice sheet dynamics, groundwater head, and saltwater intrusion, we use numerical models to explore the effects of deglaciation on nearshore head and salinity distributions. We find that ice sheet thinning diminishes groundwater head, and the resulting shift in subsurface pressure gradients drives rapid landward movement of the subsurface freshwater-saltwater interface up to 4.0 km or 1.3 m per m ice sheet loss. Results highlight an overlooked saltwater intrusion mechanism that aligns with field observations and affects glaciated coastlines undergoing ice sheet retreat, underscoring the need to consider this mechanism in studies of contemporary coastal water quality.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL120376","usgsCitation":"Guimond, J., Mohammed, A., Kurylyk, B.L., Walvoord, M.A., and Bense, V.F., 2026, Ice sheet dynamics drive pronounced changes in the subsurface freshwater-saltwater interface: Geophysical Research Letters, v. 53, no. 6, e2025GL120376, 10 p., https://doi.org/10.1029/2025GL120376.","productDescription":"e2025GL120376, 10 p.","ipdsId":"IP-184772","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":501612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl120376","text":"Publisher Index Page"},{"id":501588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":957940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":957941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":957942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":957944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274506,"text":"70274506 - 2026 - Investigating the role of lake environments and food chains on the transfer of mercury to lake trout","interactions":[],"lastModifiedDate":"2026-03-27T17:12:53.094942","indexId":"70274506","displayToPublicDate":"2026-03-15T09:45:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the role of lake environments and food chains on the transfer of mercury to lake trout","docAbstract":"Mercury contamination can pose threats to fish, wildlife, and people. Methylmercury, found in fish, can be particularly detrimental, especially to children. This study explores the sources and concentrations of mercury and proposes how people can become aware and limit their\nexposure.","language":"English","publisher":"National Park Service","usgsCitation":"Laske, S.M., Bartz, K.K., and Young, D., 2026, Investigating the role of lake environments and food chains on the transfer of mercury to lake trout: Alaska Park Science, v. 24, no. 1, p. 46-55.","productDescription":"10 p.","startPage":"46","endPage":"55","ipdsId":"IP-182249","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":501730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":958032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartz, Krista K.","contributorId":368882,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":958034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273789,"text":"70273789 - 2026 - Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","interactions":[],"lastModifiedDate":"2026-01-30T16:18:48.467802","indexId":"70273789","displayToPublicDate":"2026-03-15T09:06:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","docAbstract":"Ecological pressures on aquatic ecosystems have increased over recent centuries due to human activities and climate change. However, contextualizing ecosystem deterioration is often challenging due to limited knowledge of environmental changes over millennial timescales. Subtropical Carolina bays in North Carolina, USA, have remained unglaciated, preserving paleolimnological records that extend back to the last glacial period. Here, we analyzed a sediment core from the ecologically rich Lake Waccamaw spanning more than 28,000 years for aquatic proxies of nutrients, photosynthetic pigments, cyanotoxins, carbon isotopes, and terrestrial proxies of pollen and charcoal. The study explored paleolimnological changes in the aquatic environment connected to land changes and climate during the late Quaternary in the southeastern Atlantic Coastal Plain. Results reveal that while current levels of colonial cyanobacteria are high, past levels of cyanobacteria, other primary producers, and cyanotoxins were higher under natural climate variability. Abrupt ecosystem responses to increasing trophic conditions during Interstadial 3 (27.8–26.4 cal ka BP) and the early Holocene (11.4–7 cal ka BP) were marked by increases in primary producer abundance, deciduous vegetation expansion, and fire activity. Cyanobacteria remained dominant throughout the record, with colonial forms prevailing during the Holocene. Increases in pigment concentrations aligned with Quercus and were primarily driven by hydroclimatic variability and nutrient stoichiometry. Transitions between Pinus and Quercus pollen matched stadials and interstadials in the δ18Ο record from the North Greenland Ice Core Project (NGRIP). This study highlights the value of multi-proxy millennial-scale paleolimnological records for understanding aquatic ecosystem responses to climate conditions during the late Pleistocene.
Freshwater lakes play a critical role in the global carbon cycle by storing and transforming organic matter (OM) from both terrestrial and aquatic sources. Small lakes in northern temperate regions, despite their limited surface area, disproportionately influence regional carbon budgets. Buried sediments integrate OM inputs over time and archive ecosystem responses to natural and anthropogenic disturbances. However, the direction and magnitude of recent environmental changes on sediment carbon (C) dynamics remain poorly understood. A 23-cm core was collected from a small temperate lake in northeastern USA to evaluate sediment OM content and composition over timescales relevant to historical land-use change, damming, and recovery from acid deposition. Patterns in OM burial and source contributions were revealed via elemental and isotopic analyses of bulk OM and ultraviolet-visible spectrophotometry of water-extractable organic matter (WEOM). The optical metrics expanded observations of likely OM sources beyond the information gained from bulk carbon metrics (total carbon, δ13C). The aromaticity of WEOM increased downcore, which is consistent with a shift from increased terrestrial inputs during early logging and damming activity (pre ∼1920) to more microbial-derived OM in recent surficial sediments. Future applications of WEOM optical properties as complements to traditional geochemical metrics can enhance interpretations of lake ecosystem responses recorded in lake sediments to environmental perturbations in temperate lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2026.106768","usgsCitation":"Collins, A., Gifford, S.R., Schaller, M., Stubbins, A., Wagner, S., and Ryan, K.A., 2026, Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes: Applied Geochemistry, v. 202, 106768, 14 p., https://doi.org/10.1016/j.apgeochem.2026.106768.","productDescription":"106768, 14 p.","ipdsId":"IP-182453","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2026.106768","text":"Publisher Index Page"},{"id":501326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Brant Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.65381261873293,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.74614176284166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"202","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, A.C.","contributorId":29071,"corporation":false,"usgs":true,"family":"Collins","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":957163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":957165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stubbins, Aron","contributorId":367238,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":957166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Sasha","contributorId":242609,"corporation":false,"usgs":false,"family":"Wagner","given":"Sasha","email":"","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":957167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957168,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274274,"text":"70274274 - 2026 - Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States","interactions":[],"lastModifiedDate":"2026-03-24T16:24:33.537618","indexId":"70274274","displayToPublicDate":"2026-03-13T09:08:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States","docAbstract":"Reservoirs are globally important sources of greenhouse gases, but the magnitude of their emissions is highly uncertain. 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Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential","docAbstract":"Water quality monitoring is integral to preserving the health of freshwater ecosystems, and satellite remote sensing has emerged as one monitoring method. Sentinel-2, in particular, has been valuable for water quality monitoring due to its 5-day global temporal revisit time and spatial resolution that ranges from 10 to 60 metres. Sentinel-2 can be used to measure and monitor chlorophyll-a, which historically has been used as an indicator of water quality, eutrophication and harmful algal blooms. Our goal was to review aquatic chlorophyll-a Sentinel-2 research to assess the types of validation evidence reported. Validation evidence is defined here as the set of information key to assessing algorithm performance, and include the spatial and temporal scales of satellite validation, reported in situ sampling method context information, demonstration of validation results through plots, and appropriate algorithm performance metrics. We highlight how the body of literature collectively contributes to advancing a national scale chlorophyll-a product that could support future resource management applications. Our review of 122 published studies indicated that much of the validation evidence corresponded to early stages, as defined by the NASA data maturity framework, due to a limited focus on individual lakes and limited detail on methodology for reproducibility. Prioritizing data accessibility for both in situ data and satellite workflows used in published studies; reporting methods with transparency and consistency; and using standard algorithm performance metrics could provide a consistent framework to support and enhance the utility of satellite inland water quality research. These three quality assurance mechanisms can promote effective evaluation of approaches for remote sensing of chlorophyll-a. Adopting these quality criteria could enable the integration of validation evidence from multiple studies, supporting more spatially and temporally representative products that would advance these approaches towards maturation for broader application.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01431161.2026.2637851","usgsCitation":"Goodrich, S., Schaeffer, B., Meyers, K., Salls, W.B., King, T.V., Seegers, B.N., Cronin-Golomb, O., Demaree, D., and Reif, M., 2026, Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential: International Journal of Remote Sensing, v. 47, no. 9, p. 3820-3845, https://doi.org/10.1080/01431161.2026.2637851.","productDescription":"26 p.","startPage":"3820","endPage":"3845","ipdsId":"IP-179166","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":502274,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502483,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431161.2026.2637851","text":"Publisher Index Page"}],"volume":"47","issue":"9","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodrich, Sarah 0009-0000-1218-8053","orcid":"https://orcid.org/0009-0000-1218-8053","contributorId":369429,"corporation":false,"usgs":false,"family":"Goodrich","given":"Sarah","affiliations":[{"id":87771,"text":"University of Cincinnati,","active":true,"usgs":false}],"preferred":false,"id":958944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Blake 0000-0001-9794-3977","orcid":"https://orcid.org/0000-0001-9794-3977","contributorId":245603,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":958945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyers, Kate 0000-0003-2757-1068","orcid":"https://orcid.org/0000-0003-2757-1068","contributorId":369430,"corporation":false,"usgs":false,"family":"Meyers","given":"Kate","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seegers, Bridget N. 0000-0003-3657-632X","orcid":"https://orcid.org/0000-0003-3657-632X","contributorId":367163,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","middleInitial":"N.","affiliations":[{"id":87582,"text":"Morgan State University, Baltimore, MD, USA And NASA Goddard Space Flight Center, USA","active":true,"usgs":false}],"preferred":false,"id":958949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin-Golomb, Olivia 0000-0003-2842-158X","orcid":"https://orcid.org/0000-0003-2842-158X","contributorId":369431,"corporation":false,"usgs":false,"family":"Cronin-Golomb","given":"Olivia","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demaree, David 0000-0002-5122-3488","orcid":"https://orcid.org/0000-0002-5122-3488","contributorId":369432,"corporation":false,"usgs":false,"family":"Demaree","given":"David","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reif, Molly","contributorId":193971,"corporation":false,"usgs":false,"family":"Reif","given":"Molly","email":"","affiliations":[],"preferred":false,"id":958952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70276515,"text":"70276515 - 2026 - Timing is everything: Drivers of upstream movement of fishes","interactions":[],"lastModifiedDate":"2026-06-09T17:50:35.636069","indexId":"70276515","displayToPublicDate":"2026-03-12T10:42:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Timing is everything: Drivers of upstream movement of fishes","docAbstract":"Understanding whether fishes quickly respond to shifting temperatures and flows, especially as they pass through river reaches that may be thermally unsuitable, may help to prioritize climate-informed management strategies.
Here, we use 15 years of daily fish passage data (2005–2020) from the Leaburg Dam on the McKenzie River, Oregon, USA, with water temperatures and river flows from two associated gauges. We examine the relative influence of temperature, flow, and calendar date on fish moving upstream, the range of conditions experienced by each species, and long-term patterns in timing, supported by annual count data from the years 1971–2020.
Comparisons of timing and conditions while each species passed upstream through the Leaburg Dam fish ladders revealed that some taxa were more consistent seasonally (e.g., Pacific Lamprey Entosphenus tridentatus and Largescale Sucker Catostomus macrocheilus), experiencing a more restricted range of conditions, while others moved throughout the year under highly variable environmental conditions (e.g., trout). For both groups, calendar date appeared to be a primary driver of movement timing, even when local environmental factors of temperature and flow were considered. We note broad trends toward earlier passage across all species except Chinook Salmon Oncorhynchus tshawytscha. Notable declines in movement of Mountain Whitefish Prosopium williamsoni and Largescale Suckers occurred during years of extreme weather events, indicating that they may be particularly sensitive to the combined impacts of water temperature and flow and could serve as sentinel taxa.
Although timing is recognized as a driver for the onset of migrations, this suggests that most fish may continue to move upriver during consistent time periods, potentially increasing their risk of exposure to suboptimal environmental conditions. Our results demonstrate the utility of long-term passage data for detecting patterns in local timing, environmental conditions co-occurring with fish movement, and the sensitivity of different fish species in responding to environmental extremes during upstream migrations.
Groundwater pumping-induced reductions in streamflow (known as ‘streamflow depletion’) have been documented worldwide, but potential impacts of streamflow depletion on stream temperature are not well understood. Here, we use two types of models to identify potential impacts of pumping on stream temperature across the conterminous United States (CONUS) to determine which aspects of a stream's annual thermograph (thermal signatures) can be used to monitor and manage streamflow depletion impacts on stream temperature. We used long-term streamflow and stream temperature data from 30 streamgages across CONUS and surrogate models of streamflow depletion to analyse potential stream temperature impacts at each site. We compared two different stream temperature modelling approaches: (i) a process-based energy balance model and (ii) statistical regression models based on air temperature and stream discharge. We calculated a suite of thermal signatures under depleted and non-depleted conditions for each stream and found that maximum annual 7-day temperature and annual temperature range are potentially the most sensitive to streamflow depletion, with potential changes of at least 2°C at > 70% of the sites when using the process-based model. We also found that the regression-based models predicted much less sensitivity of stream temperature to streamflow depletion than the process-based model. This work provides an initial evaluation and sensitivity analysis of the potential impacts of streamflow depletion on stream temperature. We demonstrate that stream temperature may be most sensitive to pumping in streams with a high proportion of flow sourced from relatively cold groundwater inputs, and that regression-based stream temperature models may underpredict stream temperature changes caused by streamflow depletion.
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We developed bait pellets containing insecticides for flea control with PDs. Individual baits contained 0.46, 0.91, 1.21, or 1.52 mg fipronil, 5.40 mg afoxolaner, 50.62 mg fluralaner, or 85.20 mg spinosad. From 2023 to 2025, we tested the baits with black-tailed PDs (C. ludovicianus, BTPDs), Gunnison's PDs (C. gunnisoni, GPDs), and Richardson's ground squirrels (Urocitellus richardsonii, RGSs). We sampled hosts 2810 times and detected 8825 fleas across 2 U.S. States, 1 Canadian Province, 6 sites, 9 PD colonies, and 41 sampling plots. Over ∼12 mo across 5 replicates in South Dakota, USA, bait pellets with 0.91 or 1.52 mg fipronil, applied at a rate of 125 baits/ha, were more effective in reducing the abundance of fleas on BTPDs than 0.46 mg fipronil or the 3 other active ingredients; on 2 South Dakota replicates with data from 24 mo posttreatment, the effects of fipronil pellets on flea abundance had waned after ∼24 mo. Similarly, over ∼12 mo on 2 replicates in Arizona, USA, pellets with 1.52 mg fipronil were more effective in reducing the abundance of fleas on GPDs than pellets with 0.46 mg fipronil; on 1 replicate with available data from ∼2 yr posttreatment, the effects of fipronil pellets had waned after ∼24 mo. Over ∼8-11 mo across 2 replicates in Saskatchewan, Canada, baits with 1.21 mg fipronil/pellet were more effective in suppressing the abundance of fleas on BTPDs and RGSs when applied at 250 pellets/ha than 62 pellets/ha; flea control had waned after ∼20-23 mo. When applied annually at 125-250/ha, baits with 0.84-1.52 mg fipronil (FipBits) provided an effective, efficient, and affordable tool for flea control on PD colonies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101216","usgsCitation":"Eads, D., Matchett, M.R., McCaffery, M., Hemmah, A., Jarding, A.R., Cordova, J., Heimann, H., Liccioli, S., Gardiner, L.E., Cormack, J., Hicks, H., Fly, J., Childers, E., Livieri, T., Hladik, M.L., and Biggins, D.E., 2026, Edible baits for systemic flea control, plague mitigation, and wildlife conservation: Evaluation of four active ingredients with three rodent species in western North America: International Journal of Parasitology: Parasites and Wildlife, v. 29, 101216, 12 p., https://doi.org/10.1016/j.ijppaw.2026.101216.","productDescription":"101216, 12 p.","ipdsId":"IP-184886","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101216","text":"Publisher Index 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0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957930,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Biggins, Dean E.","contributorId":367942,"corporation":false,"usgs":false,"family":"Biggins","given":"Dean","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":957931,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70274590,"text":"70274590 - 2026 - The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish","interactions":[],"lastModifiedDate":"2026-04-01T21:22:06.654572","indexId":"70274590","displayToPublicDate":"2026-03-11T14:14:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish","docAbstract":"Consumptive use of freshwater is of concern in many estuarine ecosystems, and various frameworks have been used to prescribe environmental flows to benefit native species. However, few of these frameworks explicitly examine the potential trade-offs between socioeconomic and conservation-oriented values. This is exemplified in California, USA, where freshwater management has been an area of focus and controversy. Operations of numerous reservoirs and water diversion facilities distributed throughout the state, while critical for economic and public health benefits, have contributed to the decline of many native species. The endangered delta smelt (Hypomesus transpacificus) is endemic to the Sacramento-San Joaquin Delta, the heart of California's complex water conveyance system. To aid recovery of delta smelt, fall-timed freshwater pulse flows were implemented, which require water to be either released from reservoirs, or made unavailable to export for consumptive uses. Previous research has indicated that the effectiveness of the current pulse flow action could be improved by reconsidering the timing and magnitude; however, uncertainties in the predicted fish response to flow pulses may hinder decision-making about flow management. Using a water resource planning model, different iterations of an individual-based life cycle model, and decision analysis tools, we assessed the importance of sources of uncertainty to hypothetical flow management decisions, including uncertainty surrounding the predicted responses in delta smelt population growth rates, and variability of decision-maker's values. We found both the choice of which (if any) flow action to take for delta smelt, and the expected value of further research, depended on how decision-makers weight the delta smelt and water supply objectives. There was expected value of information (VOI) only if a decision-maker weighted the delta smelt objective ≥0.59, and within this range, research to improve estimates of changes in delta smelt prey items related to flow actions could be prioritized over other sources of uncertainty to improve outcomes of decision-making. Our study demonstrates how uncertainty, even if large, may not be equally relevant to different decision-makers (e.g., with different agency missions), and how VOI analysis can be used to guide management in an overallocated water system such as California.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70558","usgsCitation":"Mahardja, B., Smith, W.E., Healy, B.D., Koizumi, C., Nobriga, M.L., Acuña, S., Crawford, B., Arend, K.K., and Runge, M.C., 2026, The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish: Ecosphere, v. 17, no. 3, e70558, 19 p., https://doi.org/10.1002/ecs2.70558.","productDescription":"e70558, 19 p.","ipdsId":"IP-179082","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70558","text":"Publisher Index Page"},{"id":501969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.70835642002126,\n 38.292492080303305\n ],\n [\n -122.70835642002126,\n 36.78504888193622\n ],\n [\n -120.74800512414426,\n 36.78504888193622\n ],\n [\n -120.74800512414426,\n 38.292492080303305\n ],\n [\n -122.70835642002126,\n 38.292492080303305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mahardja, Brian","contributorId":174645,"corporation":false,"usgs":false,"family":"Mahardja","given":"Brian","email":"","affiliations":[{"id":13461,"text":"U.C. 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We computed yearly groundwater-drought metrics and mean groundwater levels at well locations across the conterminous United States (CONUS), using data from wells and remotely sensed and modeled Gravity Recovery and Climate Experiment Drought Monitor Data Assimilation (GRACE-DADM). We also modeled the probability of low or high human impact at each well location. The spatial distribution of groundwater-drought duration and severity from 2001 to 2020 for 1,510 wells shows longer maximum duration and higher maximum severity events in drier regions like the Southwest than in wetter regions like the Northeast. Based on 613 wells in CONUS from 1981 to 2020, there are many significant decreases in drought duration and severity in the Northeast and many significant increases in annual-mean groundwater levels. In contrast, there are many significant increases in drought metrics and decreases in mean water levels in parts of the Southeast. There are major differences in trends from 2001 to 2020 between well-based and GRACE-DADM-based groundwater metrics in some CONUS regions and a very low correlation between trends at individual locations across CONUS. A potential reason for this disparity is the low GRACE-DADM resolution (∼12 km) and the potential for a large amount of groundwater variation at the local scale. Also, GRACE-DADM represents shallow, unconfined aquifers which may not match the screened interval of the monitoring wells we evaluated. Large spatial gaps in long-term, high frequency, and quality-assured groundwater-well monitoring data present a challenge for understanding groundwater-drought variability across CONUS. Remote sensing tools such as GRACE can help but cannot fully replace well monitoring, as highlighted by our study results. Substantially more long-term monitoring wells would more accurately represent groundwater-drought trends and spatial variability across CONUS, particularly in western regions.
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Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":957077,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dudley, Robert W. 0000-0002-0934-0568","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":220211,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert W.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957078,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274211,"text":"70274211 - 2026 - Small-volume tephra deposits of the May 1924 explosions from Halemaʻumaʻu, Kīlauea volcano, and their origin","interactions":[],"lastModifiedDate":"2026-03-13T14:29:50.599041","indexId":"70274211","displayToPublicDate":"2026-03-11T09:20:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Small-volume tephra deposits of the May 1924 explosions from Halemaʻumaʻu, Kīlauea volcano, and their origin","docAbstract":"Per- and polyfluoroalkyl substances (PFAS) are a class of widespread, environmentally persistent compounds that pose a potential threat to wildlife and human health. Despite recent efforts to reduce the use of long-chain PFAS in industrial practices and commercial/consumer products, the persistence and solubility of PFAS have led to their detection in wildlife on a global scale. Osprey (Pandion haliaetus) have long been used as a sentinel species with an extensive history of serving as an effective bioindicator of contamination. Here we report on a large-scale evaluation of PFAS and potential health effects in osprey from the Chesapeake and Delaware Bays, USA. In 2011 and 2015, we collected plasma samples from osprey nestlings throughout the Chesapeake and Delaware Bay watersheds. We quantified 40 PFAS congeners in osprey plasma via liquid chromatography-mass spectrometry and analyzed plasma for indicators of immune and thyroid function, and plasma biochemistry. In all birds, perfluorooctanesulfonic acid (PFOS) was the most commonly detected PFAS, followed by perfluoroundecanoic acid, (PFUnA) and perfluorodecanoic acid (PFDA). In nestling plasma from Chesapeake Bay, PFOS tended to be a higher average contributor to PFAS profiles compared to samples from Delaware Bay. In contrast, long-chain perfluoroalkyl carboxylic acids (PFCAs) such as PFUnA and PFDA comprised larger percentages of total PFAS in osprey plasma from Delaware Bay relative to Chesapeake Bay. While some PFAS concentrations were associated with plasma health indicators, the proportion of variation explained was low. Overall, our study provides a more thorough understanding of PFAS presence in the Chesapeake and Delaware Bays and is one of the first to examine whether PFAS exposure is associated with adverse health effects in wildlife.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgag055","usgsCitation":"Karouna-Renier, N., Haskins, D., Schultz, S.L., Akresh, M., and Rattner, B., 2026, Accumulation of per- and polyfluoroalkyl substances (PFAS) and their association with immune parameters in nestling ospreys (Pandion haliaetus) from Chesapeake and Delaware Bays, USA: Environmental Toxicology and Chemistry, https://doi.org/10.1093/etojnl/vgag055.","ipdsId":"IP-183725","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":501383,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274236/images"},{"id":501382,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274236/70274236.XML"},{"id":501381,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274236/full"},{"id":501230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake and Delaware Bays","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.61761223029669,\n 39.86211116682409\n ],\n [\n -76.93592404163553,\n 39.86211116682409\n ],\n [\n -76.93592404163553,\n 36.61322897844552\n ],\n [\n -74.61761223029669,\n 36.61322897844552\n ],\n [\n -74.61761223029669,\n 39.86211116682409\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haskins, David Lee 0000-0002-6692-3225","orcid":"https://orcid.org/0000-0002-6692-3225","contributorId":357996,"corporation":false,"usgs":true,"family":"Haskins","given":"David Lee","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":957121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Akresh, Michael E.","contributorId":355344,"corporation":false,"usgs":false,"family":"Akresh","given":"Michael E.","affiliations":[{"id":83385,"text":"Antioch University","active":true,"usgs":false}],"preferred":false,"id":957123,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":221814,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":957124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274632,"text":"70274632 - 2026 - Hydrologic variability drives environmental and geospatial relationships in Smallmouth Bass (Micropterus dolomieu) distribution","interactions":[],"lastModifiedDate":"2026-04-02T18:44:26.919721","indexId":"70274632","displayToPublicDate":"2026-03-10T11:32:48","publicationYear":"2026","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}},"displayTitle":"Hydrologic variability drives environmental and geospatial relationships in Smallmouth Bass (Micropterus dolomieu) distribution","title":"Hydrologic variability drives environmental and geospatial relationships in Smallmouth Bass (Micropterus dolomieu) distribution","docAbstract":"Hydrologic variation is a primary driver of stream ecosystems. Changing hydrology can lead to assemblage shifts and alterations in suitable habitat for freshwater species. As climate change is predicted to alter flow patterns in addition to increasing water temperatures, insight into relationships between species occupancy, hydrology, and temperature is critical for understanding current and future distributions. We examined how hydrologic variability, temperature, and other environmental variables interact to influence Micropterus dolomieu (Smallmouth Bass) occurrence. We used Spatial Stream Network models, allowing for the incorporation of spatial autocorrelation along streams' unique dendritic network, to examine Smallmouth Bass occupancy across a range of hydrologic variation in the Ozark-Ouachita Interior Highlands, USA. Hydrologic variation was the main driver of Smallmouth Bass occurrence, with occurrence more likely in groundwater streams with low hydrologic variation and high flow permanence. For groundwater streams, occurrence was positively associated with summer stream temperature and negatively associated with annual stream temperature. As variation increased, more variables showed significant relationships with occurrence. Distance metrics were important for all models, however as hydrologic disturbance increased, flow connected distance played a lesser role and stream distance played a greater role. Hydrologic variability was the overarching determinant of Smallmouth Bass occurrence and strongly influenced the predictive importance of environmental variables and geospatial relationships. Greater hydrologic variability resulted in stronger statistical relationships between occurrence and environmental variables and an increased importance of system connectivity. As climate change alters hydrologic processes and streams become more variable, understanding and accounting for these shifting relationships is essential.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2026.181562","usgsCitation":"Sorensen, S.F., Fox, J.T., and Magoulick, D.D., 2026, Hydrologic variability drives environmental and geospatial relationships in Smallmouth Bass (Micropterus dolomieu) distribution: Science of the Total Environment, v. 1025, 181562, 9 p., https://doi.org/10.1016/j.scitotenv.2026.181562.","productDescription":"181562, 9 p.","ipdsId":"IP-176491","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2026.181562","text":"Publisher Index Page"},{"id":502032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Kansas, Missouri, Oklahoma","otherGeospatial":"Ozark-Ouachita Interior Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.06835076729865,\n 37.54392591075137\n ],\n [\n -95.58753725694291,\n 35.616131979244244\n ],\n [\n -96.86430792379102,\n 34.30485408838467\n ],\n [\n -95.13839254168458,\n 34.13182914589751\n ],\n [\n -93.02844126052034,\n 33.84485206480821\n ],\n [\n -91.20526644252189,\n 35.93662462412837\n ],\n [\n -90.46426221649432,\n 38.03635872039271\n ],\n [\n -95.06835076729865,\n 37.54392591075137\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"1025","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sorensen, Sarah F.","contributorId":369126,"corporation":false,"usgs":false,"family":"Sorensen","given":"Sarah","middleInitial":"F.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, J. Tyler","contributorId":369127,"corporation":false,"usgs":false,"family":"Fox","given":"J.","middleInitial":"Tyler","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958497,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274195,"text":"sim3545 - 2026 - Water use permits as of July 2024 and reported water use near the North Unit of Theodore Roosevelt National Park, North Dakota, 1980–2023","interactions":[],"lastModifiedDate":"2026-03-13T16:57:02.210512","indexId":"sim3545","displayToPublicDate":"2026-03-09T11:44:43","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3545","displayTitle":"Water Use Permits as of July 2024 and Reported Water Use Near the North Unit of Theodore Roosevelt National Park, North Dakota, 1980–2023","title":"Water use permits as of July 2024 and reported water use near the North Unit of Theodore Roosevelt National Park, North Dakota, 1980–2023","docAbstract":"Starting in the early 2000s, increasing oil and gas development in western North Dakota created a need for additional water resources from surface-water and groundwater sources near the North Unit of Theodore Roosevelt National Park. To summarize the use of water in that area, the U.S. Geological Survey, in cooperation with the National Park Service, developed a map of surface-water and groundwater resources, aquifers, and water-use diversions, and plotted water-use trends from 1980 to 2023. Reported water used from permits in the map area has more than doubled since 2020, increasing from about 750 acre-feet in 2020 to about 2,300 acre-feet in 2022 and 2,000 acre-feet in 2023. Surface water provided the primary source of reported water used for the study period with an average of about 410 acre-feet per year from 1980 through 2017 and about 1,330 acre-feet per year from 2018 through 2023. After 2011, groundwater sourced from the Little Missouri River, Tobacco Garden Creek, Fox Hills, Fort Union, and Dakota aquifers became a larger portion of total annual reported water use from permits in the map area. From 1980 through 2015, water use for irrigation averaged 86 percent of the total annual reported surface-water and groundwater use in the map area. Starting in 2011, however, industrial uses became a proportionally larger total use of water, and in 2015, became the highest reported volume of water use in the map area. From 2011 to 2023, industrial use designated for water depots increased from 50 acre-feet to about 1,370 acre-feet, accounting for about 70 percent of total reported water use in the map area in 2023.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3545","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Anderson, T.M., and Medler, C.J., 2026, Water use permits as of July 2024 and reported water use near the North Unit of Theodore Roosevelt National Park, North Dakota, 1980–2023: U.S. Geological Survey Scientific Investigations Map 3545, 1 p., scale 1:75,000, https://doi.org/10.3133/sim3545.","productDescription":"1 Sheet: 51.96 x 32.00 inches","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-180137","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":501164,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119300.htm","linkFileType":{"id":5,"text":"html"}},{"id":500796,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3545/sim3545.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3545"},{"id":500795,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3545/coverthb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":"North Unit of Theodore Roosevelt National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.68187232257335,\n 47.72042516981429\n ],\n [\n -103.68187232257335,\n 47.454023726420644\n ],\n [\n -103.19621849492077,\n 47.454023726420644\n ],\n [\n -103.19621849492077,\n 47.72042516981429\n ],\n [\n -103.68187232257335,\n 47.72042516981429\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
This map shows the location of water permits and graphs of the reported amount of water used from those permits from rivers, streams, and wells as of July 2024, near Theodore Roosevelt National Park in North Dakota. Total water use in the map area more than doubled from 2020 to 2023. From 1980 through 2023, water from rivers and streams was used more than water from wells, but water use from wells began to increase starting in 2011. From 1980 through 2015, most water was used for irrigation, but after 2015, most water was used for industrial purposes.
","publicationDate":"2026-03-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Todd M. 0000-0001-8971-9502","orcid":"https://orcid.org/0000-0001-8971-9502","contributorId":218978,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medler, Colton J. 0000-0001-6119-5065","orcid":"https://orcid.org/0000-0001-6119-5065","contributorId":201463,"corporation":false,"usgs":true,"family":"Medler","given":"Colton","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956900,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274560,"text":"70274560 - 2026 - Estimating discharge from undular hydraulic jumps: Feasibility assessment based on flume experiments","interactions":[],"lastModifiedDate":"2026-03-30T15:40:22.34149","indexId":"70274560","displayToPublicDate":"2026-03-07T10:28:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge from undular hydraulic jumps: Feasibility assessment based on flume experiments","docAbstract":"Rapids are common in steep rivers, often forming where flow transitions from supercritical (Froude number, Fr > 1) to subcritical (Fr < 1) through a hydraulic jump. When upstream Fr is supercritical but close to 1, this transition may occur as an undular hydraulic jump, exhibiting a train of stationary waves downstream of the jump toe. Previous studies proposed a method to estimate discharge using only UHJ wave spacing and channel width combined with a wave dispersion equation for large water depths relative to the UHJ wavelength. This method is based on the hypotheses that, by their presence, UHJs indicate near-critical flow conditions (Fr ≈ 1) and that wave celerity c is equal to and opposite the cross-sectionally averaged flow velocity U. However, these hypotheses have not been thoroughly tested. We used data from published UHJ flume experiments to test the hypotheses that Fr ≈ 1 and c = U, compare the deep-water and general wave dispersion equations, and evaluate the accuracy of discharge estimates. In these experiments, the stationary waves exhibited shallow depths relative to wavelength and flow was subcritical (Fr < 1) when averaged across multiple wavelengths. Additionally, wave celerity more closely approximated the surface flow velocity than U. By using a Fr representative of actual conditions and applying a coefficient to correct for c ≠ U , the accuracy of the discharge estimates improved. This finding suggests that the critical flow-based method is robust and can produce reliable streamflow estimates if the remotely observed wave trains are correctly interpreted as UHJs, without requiring in situ measurements.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040997","usgsCitation":"White, D., Yager, E., Legleiter, C.J., Grant, G., Hempel, L.A., Leonard, C.M., Adler, K., Harlan, M.E., and Fasth, B., 2026, Estimating discharge from undular hydraulic jumps: Feasibility assessment based on flume experiments: Water Resources Research, v. 62, no. 3, e2025WR040997, 19 p., https://doi.org/10.1029/2025WR040997.","productDescription":"e2025WR040997, 19 p.","ipdsId":"IP-172038","costCenters":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":502062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040997","text":"Publisher Index Page"},{"id":501815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Daniel C. 0000-0001-8376-8469","orcid":"https://orcid.org/0000-0001-8376-8469","contributorId":347543,"corporation":false,"usgs":false,"family":"White","given":"Daniel C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Elowyn 0000-0002-3382-2356","orcid":"https://orcid.org/0000-0002-3382-2356","contributorId":347542,"corporation":false,"usgs":false,"family":"Yager","given":"Elowyn","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":958312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grant, Gordon","contributorId":349384,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon","affiliations":[{"id":83479,"text":"US Forest Service, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hempel, Laura A. 0000-0001-5020-6056","orcid":"https://orcid.org/0000-0001-5020-6056","contributorId":224286,"corporation":false,"usgs":true,"family":"Hempel","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leonard, Christina M. 0000-0002-5096-8103","orcid":"https://orcid.org/0000-0002-5096-8103","contributorId":360578,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958315,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adler, Katherine","contributorId":369026,"corporation":false,"usgs":false,"family":"Adler","given":"Katherine","affiliations":[],"preferred":false,"id":958316,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harlan, Merritt Elizabeth 0000-0002-4019-4888","orcid":"https://orcid.org/0000-0002-4019-4888","contributorId":302672,"corporation":false,"usgs":true,"family":"Harlan","given":"Merritt","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":958317,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fasth, Becky","contributorId":349390,"corporation":false,"usgs":false,"family":"Fasth","given":"Becky","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":958318,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}