Extensive mortalities of adult coho salmon (Oncorhynchus kisutch), often called “Urban Runoff Mortality Syndrome” (URMS), have been documented during the fall in creeks where water quality has been degraded by roadway runoff. The primary cause of mortality is 6PPD-quinone (6PPDQ; N-(1,3-dimethylbutyl)-N′-phenyl-p-phenylenediamine quinone)–an ozone transformation product that forms on all vehicle tires. Laboratory studies have shown that juvenile coho salmon are highly sensitive to 6PPDQ exposure. Unlike adults, juveniles reside in impacted watersheds year-round, including during the spring when 6PPDQ concentrations can frequently exceed lethal thresholds during storms. To assess the potential incidence of URMS in springtime rearing habitats for juvenile coho salmon, we conducted a paired water quality and toxicology study at Miller Creek, a runoff-impacted watershed in Normandy Park, WA, USA. Using a small field facility, three naïve groups of juvenile coho salmon (N = 720) were exposed to either creek water or groundwater (N = 120 per treatment per storm), across three spring storms while comparing water quality and mortality end points. In creek water during exposures, peak 6PPDQ concentrations reached 73–110 ng/L, exceeding reported median lethal concentrations (LC50) for coho salmon. Over each 24–73 h storm exposure period, ∼80% of Miller Creek-exposed juvenile salmon died. No mortality occurred among control fish exposed to groundwater. These results indicate previously unidentified mortality risks for juvenile life stages of coho salmon during spring storms, suggesting substantial and year-round water quality impediments to coho salmon health and recovery across roadway runoff-impacted spawning, rearing, and migratory habitats.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c13992","usgsCitation":"Brown, M.L., Ivy, N., Gonzalez, M., Greer, J.B., Hansen, J.D., Kolodziej, E., and McIntyre, J.K., 2026, Roadway runoff induced acute mortality in juvenile coho salmon during spring storm events: Environmental Science & Technology, v. 60, no. 2, p. 1723-1732, https://doi.org/10.1021/acs.est.5c13992.","productDescription":"10 p.","startPage":"1723","endPage":"1732","ipdsId":"IP-183827","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c13992","text":"Publisher Index Page"},{"id":499177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Normandy Park","otherGeospatial":"Miller Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.36249783623032,\n 47.448579913315115\n ],\n [\n -122.36249783623032,\n 47.42927966039616\n ],\n [\n -122.33175787382147,\n 47.42927966039616\n ],\n [\n -122.33175787382147,\n 47.448579913315115\n ],\n [\n -122.36249783623032,\n 47.448579913315115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Marlee L.","contributorId":365693,"corporation":false,"usgs":false,"family":"Brown","given":"Marlee","middleInitial":"L.","affiliations":[{"id":87190,"text":"Center for Urban Waters, University of Washington Tacoma, University of Washington","active":true,"usgs":false}],"preferred":false,"id":954620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ivy, Nathan","contributorId":365694,"corporation":false,"usgs":false,"family":"Ivy","given":"Nathan","affiliations":[{"id":87191,"text":"Puyallup Research and Extension Center, Washington State University, Puyallup, WA","active":true,"usgs":false}],"preferred":false,"id":954621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez, Melissa","contributorId":331459,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":954622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolodziej, Edward","contributorId":146307,"corporation":false,"usgs":false,"family":"Kolodziej","given":"Edward","affiliations":[],"preferred":false,"id":954625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McIntyre, Jenifer K.","contributorId":365695,"corporation":false,"usgs":false,"family":"McIntyre","given":"Jenifer","middleInitial":"K.","affiliations":[{"id":87191,"text":"Puyallup Research and Extension Center, Washington State University, Puyallup, WA","active":true,"usgs":false}],"preferred":false,"id":954626,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273434,"text":"70273434 - 2026 - Distinguishing natural from mining-related metal sources by including streambank groundwater data in a stream mass loading study","interactions":[],"lastModifiedDate":"2026-01-22T16:48:36.836817","indexId":"70273434","displayToPublicDate":"2026-01-05T09:12:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing natural from mining-related metal sources by including streambank groundwater data in a stream mass loading study","docAbstract":"Distinguishing stream metal loading caused by mine features from that caused by natural background sources remains challenging, yet this distinction is essential for making effective remedial decisions at many legacy mine sites. We combine a stream tracer injection and synoptic sampling study with data from shallow near-stream groundwater wells to estimate left-bank versus right-bank metal loading contributions at the 100-m spatial scale. The study was performed in the East Mancos River, a mountain headwater stream in Colorado, USA. The dominant source of elevated stream metal concentrations could be either groundwater infiltration through right-bank Doyle Mine waste piles or natural acid rock drainage from hydrothermally altered bedrock located mainly on the left bank. For the five metals of concern (Cu, Al, Zn, Cd, and Mn), we find that 15 % of the load contributed by diffuse groundwater inputs in the section potentially influenced by Doyle mine waste originates from the right bank. This right-bank potential mine contribution equates to only 3 % of the total watershed instream load for these metals. Furthermore, apparent 3H/3He groundwater ages in segments contributing most of the right-bank metal loading are sufficiently old (9–12 yr) to suggest that infiltration through the waste piles, located only 140–180 m from the stream, is unlikely. Estimated potential Doyle mine loading contributions can therefore be considered maximum values. Study results thus indicate that Doyle mine waste piles are a minor source of metal loading under low-flow conditions, and streambank groundwater data can provide valuable additional information in stream mass loading studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2026.104841","usgsCitation":"Manning, A.H., Runkel, R.L., Morrison, J.M., Warix, S., Wanty, R.B., Walton-Day, K., and Snook, M., 2026, Distinguishing natural from mining-related metal sources by including streambank groundwater data in a stream mass loading study: Journal of Contaminant Hydrology, v. 277, 104841, 15 p., https://doi.org/10.1016/j.jconhyd.2026.104841.","productDescription":"104841, 15 p.","ipdsId":"IP-180763","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":498582,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"East Mancos River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.095,\n 37.42811837014183\n ],\n [\n -108.11,\n 37.42811837014183\n ],\n [\n -108.11,\n 37.41818534993749\n ],\n [\n -108.095,\n 37.41818534993749\n ],\n [\n -108.095,\n 37.42811837014183\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"277","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Jean M. 0000-0002-6614-8783 jmorrison@usgs.gov","orcid":"https://orcid.org/0000-0002-6614-8783","contributorId":994,"corporation":false,"usgs":true,"family":"Morrison","given":"Jean","email":"jmorrison@usgs.gov","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":953687,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warix, Sara","contributorId":355736,"corporation":false,"usgs":false,"family":"Warix","given":"Sara","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":953688,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wanty, Richard B.","contributorId":365089,"corporation":false,"usgs":false,"family":"Wanty","given":"Richard","middleInitial":"B.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":953689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":336569,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953690,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Snook, Michael 0009-0005-5660-086X","orcid":"https://orcid.org/0009-0005-5660-086X","contributorId":360715,"corporation":false,"usgs":false,"family":"Snook","given":"Michael","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":953691,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273356,"text":"70273356 - 2026 - Winter 2026","interactions":[],"lastModifiedDate":"2026-01-09T14:49:22.481484","indexId":"70273356","displayToPublicDate":"2026-01-05T08:38:40","publicationYear":"2026","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18733,"text":"Watermarks","active":true,"publicationSubtype":{"id":30}},"title":"Winter 2026","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Rossos, K., 2026, Winter 2026: Watermarks, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-184909","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":498499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498495,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/watermarks-new-england-wsc-newsletters/watermarks-newsletter-winter-2026","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossos, Katrina 0000-0002-3819-4344","orcid":"https://orcid.org/0000-0002-3819-4344","contributorId":331723,"corporation":false,"usgs":true,"family":"Rossos","given":"Katrina","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953428,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274154,"text":"70274154 - 2026 - Bridging ecology and geosciences in riverscapes: Implications for process-based restoration","interactions":[],"lastModifiedDate":"2026-03-02T14:54:49.796661","indexId":"70274154","displayToPublicDate":"2026-01-04T08:51:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1461,"text":"Ecological Research","active":true,"publicationSubtype":{"id":10}},"title":"Bridging ecology and geosciences in riverscapes: Implications for process-based restoration","docAbstract":"There has been a growing interest in integrating geological and ecological processes for sustainable river management and restoration. Lotic systems are shaped by diverse physical processes, including geology, geomorphology, hydrology, and interactions with terrestrial processes. However, restoration practices often prioritize specific habitats or river forms without fully considering the underlying physical processes that support biological communities and ecosystem functions. In this paper, we synthesize studies that integrally examine geological and ecological processes across different scales and components of riverscapes, including geohydrological processes, which have been less investigated in riverscape studies. We begin by examining processes at broader spatial scales, including river–watershed and river–riparian interactions, and gradually narrow our focus to the dynamics that occur among habitats within river channels, through which we highlight the significance of conceptualizing rivers as dynamic “networks” rather than linear features. Finally, we identify both scientific and practical challenges that can be addressed to bridge the gap between basic-science implications and their implementation in riverscape restorations.
","language":"English","publisher":"Wiley","doi":"10.1111/1440-1703.70028","usgsCitation":"Uno, H., Nakagawa, H., Ishiyama, N., Sakai, M., Mori, T., Terui, A., Scholl, E.A., Wohl, E., and Baxter, C.V., 2026, Bridging ecology and geosciences in riverscapes: Implications for process-based restoration: Ecological Research, v. 41, no. 1, e70028, 19 p., https://doi.org/10.1111/1440-1703.70028.","productDescription":"e70028, 19 p.","ipdsId":"IP-179877","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":500819,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1440-1703.70028","text":"Publisher Index Page"},{"id":500669,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Uno, Hiromi","contributorId":367076,"corporation":false,"usgs":false,"family":"Uno","given":"Hiromi","affiliations":[{"id":87535,"text":"Graduate School of Life Sciences, Tohoku University; 6-3 Aoba, Aramaki, Aoba-ku, Sendai, Miyagi, Japan, 980-0845","active":true,"usgs":false}],"preferred":false,"id":956705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nakagawa, Hikaru","contributorId":367077,"corporation":false,"usgs":false,"family":"Nakagawa","given":"Hikaru","affiliations":[{"id":87536,"text":"Aqua Restoration Research Center, Public Works Research Institute; Kawashima-Kasada-machi, Kakamigahara, Gifu, Japan, 501-6021","active":true,"usgs":false}],"preferred":false,"id":956706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ishiyama, Nobuo","contributorId":367078,"corporation":false,"usgs":false,"family":"Ishiyama","given":"Nobuo","affiliations":[{"id":87537,"text":"Graduate School of Agriculture, Hokkaido University; N9 W9 Sapporo, Hokkaido 060–8589, Japan, 060-8589","active":true,"usgs":false}],"preferred":false,"id":956707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sakai, Masaru","contributorId":367079,"corporation":false,"usgs":false,"family":"Sakai","given":"Masaru","affiliations":[{"id":87538,"text":"Fukushima Regional Collaborative Research Center, National Institute for Environmental Studies, 10-2 Fukasaku, Miharu, Tamura District, Fukushima 963-7700, Japan","active":true,"usgs":false}],"preferred":false,"id":956708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mori, Terutaka","contributorId":367080,"corporation":false,"usgs":false,"family":"Mori","given":"Terutaka","affiliations":[{"id":87537,"text":"Graduate School of Agriculture, Hokkaido University; N9 W9 Sapporo, Hokkaido 060–8589, Japan, 060-8589","active":true,"usgs":false}],"preferred":false,"id":956709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Terui, Akira","contributorId":367081,"corporation":false,"usgs":false,"family":"Terui","given":"Akira","affiliations":[{"id":87539,"text":"Department of Biology, University of North Carolina Greensboro, NC","active":true,"usgs":false}],"preferred":false,"id":956710,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scholl, Eric Arthur 0000-0003-3028-9979","orcid":"https://orcid.org/0000-0003-3028-9979","contributorId":329480,"corporation":false,"usgs":true,"family":"Scholl","given":"Eric","email":"","middleInitial":"Arthur","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":956711,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wohl, Ellen","contributorId":313566,"corporation":false,"usgs":false,"family":"Wohl","given":"Ellen","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":956712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Baxter, Colden V.","contributorId":367082,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden","middleInitial":"V.","affiliations":[{"id":87542,"text":"Department of Biological Sciences, Idaho State University","active":true,"usgs":false}],"preferred":false,"id":956713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274123,"text":"70274123 - 2026 - Helping California get ready for when the mud hits the fan","interactions":[],"lastModifiedDate":"2026-02-26T16:59:30.331793","indexId":"70274123","displayToPublicDate":"2026-01-01T10:58:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1154,"text":"California Geology","active":true,"publicationSubtype":{"id":10}},"title":"Helping California get ready for when the mud hits the fan","docAbstract":"With frequent wildfires, powerful rainstorms, steep terrain, and dense population, California is particularly vulnerable to postfire hazards like flooding and debris flow. Major postfire flooding and debris-flow events can be more costly than the fire itself, causing dozens of fatalities and widespread damage (Chawner, 1934; Lancaster et al., 2021). Smaller events occur nearly every year in California and can locally damage structures and roads, affect water quality and storage, and result in injury or loss of life (e.g., Dow et al., 2024; Rodriguez, 2025; Swanson et al., 2024; Figure 1). To mitigate these threats, the U.S. Geological Survey (USGS) has developed tools to assist local, state, and federal agencies in rapidly assessing postfire debris-flow risk across California’s diverse geology and geography. This article summarizes that effort and describes ongoing work by the USGS and partners to advance these methods and help California better prepare for future wildfires.","language":"English","publisher":"California Geological Survey","usgsCitation":"Kean, J.W., and Kostelnik, J., 2026, Helping California get ready for when the mud hits the fan: California Geology, v. 56, p. 24-29.","productDescription":"6 p.","startPage":"24","endPage":"29","ipdsId":"IP-180168","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500540,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conservation.ca.gov/cgs/documents/publications/california-geology-magazine/CG_2026-01.pdf"}],"country":"United 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Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science","interactions":[],"lastModifiedDate":"2026-03-09T14:41:39.133524","indexId":"70273294","displayToPublicDate":"2026-01-01T09:36:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18805,"text":"Limnology & Oceanography Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science","docAbstract":"No abstract available.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lob.70017","usgsCitation":"Meyer, M.F., Mesman, J., Barbosa, C.C., Borelli, J.J., Feldbauer, J., Harlan, M.E., Hensley, R.T., Kuyumcu, B., Ladwig, R., Oleksy, I., Pilla, R.M., Zwart, J.A., Biddle, M., Kinzel, P.J., Legleiter, C.J., Moore, T., Murray, T., Nkwalale, L., Overstreet, B., Rumman, M., and Woelmer, W., 2026, The 2025 “Hacking Limnology” Workshop Series and DSOS Virtual Summit: A half decade of data-intensive aquatic science: Limnology & Oceanography Bulletin, v. 35, no. 1, p. 43-45, https://doi.org/10.1002/lob.70017.","productDescription":"3 p.","startPage":"43","endPage":"45","ipdsId":"IP-183718","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":498454,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lob.70017","text":"Publisher Index Page"},{"id":498321,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - 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UFZ","active":true,"usgs":false}],"preferred":false,"id":953266,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Overstreet, Brandon 0000-0001-7845-6671 boverstreet@usgs.gov","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":169201,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"boverstreet@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953267,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Rumman, Mehraz 0009-0003-2008-896X","orcid":"https://orcid.org/0009-0003-2008-896X","contributorId":364827,"corporation":false,"usgs":false,"family":"Rumman","given":"Mehraz","affiliations":[{"id":86986,"text":"Jagannath University, Bangladesh","active":true,"usgs":false}],"preferred":false,"id":953268,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Woelmer, Whitney M.","contributorId":303911,"corporation":false,"usgs":false,"family":"Woelmer","given":"Whitney M.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":953269,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70273935,"text":"70273935 - 2026 - Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","interactions":[],"lastModifiedDate":"2026-02-18T14:55:47.849711","indexId":"70273935","displayToPublicDate":"2026-01-01T07:42:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","docAbstract":"The management of acid mine drainage (AMD) impacted catchments, such as the Odiel River basin, in southwestern Spain, prioritizes reclamation to meet water resources needs. Assessing water composition across its watercourses is needed to identify major AMD contributors and potentially guide remediation efforts. An equilibrium-based mixing model was developed to simulate AMD pollutant load reductions and estimate the impact of selective restorations on water quality in the Odiel River, particularly at the planned Alcolea Reservoir near its outlet. Sampling under varying flow conditions (average vs. high flow) showed a reduction in acidity transport (from 54.0 to 42.5 ton/day), attributed to greater neutralization effects during high flows. Over 90 % of metal-fluxes originate alone from the Riotinto (73.6 %), Tharsis (14.5 %), and San Telmo (5.00 %) mining districts, among many other mines. While geochemical model estimates fit well with observed data (R2 = 0.99), some deviations in non-conservative constituents (i.e. pH, Fe and Al) were observed (R2 = 0.73–0.99), likely due to uncertainties in solubility constants and redox/Fe speciation. After evaluating model reliability, two reduction scenarios (50 % and 100 %) were applied to the three primary sources. Full removal of contamination could subtantially improve impounded reservoir water quality, with pH values of 4.93 and 7.64, and a net acidity between 8.75 and 4.63 mg/L eq. CaCO3 in both average and high flows, respectively. Such differences may be related to flow regime effects on water quality. However, a 50 % reduction is insufficient to meet drinking or irrigation standards, highlighting the need for full and appropriate reclamation. The model offers a management tool for decision-making in the restoration of the Odiel River basin and could be transferable to similar AMD-affected basins worldwide.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.127486","usgsCitation":"Romero-Matos, J., Sánchez-López, L., León, R., Runkel, R.L., Nordstrom, D.K., Cánovas, C.R., Macías, F., and Nieto, J.M., 2026, Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage: Journal of Environmental Management, v. 397, 127486, 16 p., https://doi.org/10.1016/j.jenvman.2025.127486.","productDescription":"127486, 16 p.","ipdsId":"IP-178223","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":500250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.127486","text":"Publisher Index Page"},{"id":500136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Odiel River basin, southwestern Spain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -8.184000319431135,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.77675639447594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romero-Matos, Jonatan","contributorId":366397,"corporation":false,"usgs":false,"family":"Romero-Matos","given":"Jonatan","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sánchez-López, Laura","contributorId":366398,"corporation":false,"usgs":false,"family":"Sánchez-López","given":"Laura","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"León, Rafael","contributorId":366399,"corporation":false,"usgs":false,"family":"León","given":"Rafael","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordstrom, D. 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The phrase source zone natural depletion is used to refer to the mass loss rates. Overall mass lost under environmental conditions was analyzed using conservative biomarker concentrations for a 1979 oil spill in northern Minnesota, USA. After 40–41 years, an average of 50% of the mass was lost with values ranging from 22% to 57% depending on location. It is also important to understand the composition changes in the source. To understand controls on the losses of individual compounds, concentrations of volatile hydrocarbons in oil samples were compared with aqueous solubilities, and pore-space oil saturations. The results of the comparison show that losses of the oil compounds were controlled by pore-space oil saturations, solubility, and susceptibility to degradation under methanogenic conditions. Compounds that degrade under methanogenic conditions, including toluene, o-xylene, and n-alkanes are more depleted compared to benzene, ethylbenzene, and m- and p-xylene for which losses are dominated by dissolution. These rates and compound-specific behaviors form a foundation for improved modeling approaches and risk analyses.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041964","usgsCitation":"Bekins, B., and Herkelrath, W., 2026, Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds: Water Resources Research, v. 62, no. 1, e2025WR041964, 19 p., https://doi.org/10.1029/2025WR041964.","productDescription":"e2025WR041964, 19 p.","ipdsId":"IP-139177","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041964","text":"Publisher Index Page"},{"id":498361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Bemidji crude oil site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.0916,\n 47.5742\n ],\n [\n -95.0916,\n 47.5733\n ],\n [\n -95.0895,\n 47.5733\n ],\n [\n -95.0895,\n 47.5742\n ],\n [\n -95.0916,\n 47.5742\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkelrath, William 0000-0002-6149-5524","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":210576,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953298,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273323,"text":"70273323 - 2026 - Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","interactions":[],"lastModifiedDate":"2026-02-09T16:20:17.765608","indexId":"70273323","displayToPublicDate":"2025-12-30T09:41:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","docAbstract":"The Santa Ana Sucker Pantosteus santaanae is endemic to southern California and is listed as threatened under the U.S. Endangered Species Act. Seasonal limitations on conventional sampling and inconsistencies in survey methodologies have led to an incomplete understanding of population dynamics. Alternative sampling methods have the potential to fill important knowledge gaps in biology and life history. One option is to use passive integrated transponder (PIT) tags to identify individuals and track their movements. The objective of this study was to test the effect of PIT tag size on survival, tag loss, and growth of Santa Ana Suckers.
Sixty-one Santa Ana Suckers were randomly assigned to one of three treatments (control: N = 20; 8-mm PIT tag: N = 21; or 12-mm PIT tag: N = 20). A full-duplex PIT tag was injected into each fish, and lengths (standard, fork, and total length) and weight were recorded. Fish remained in raceways for 36 d, after which they were retrieved, scanned, and remeasured.
There were five fish mortalities within 48 h of tagging, resulting in an 87.8% overall survival rate. There were two fish mortalities from the 8-mm tag treatment and three mortalities from the 12-mm tag treatment. One fish from each tagging treatment lost their tag, resulting in a 5.6% overall tag loss rate. The Fisher’s exact test indicated no statistically significant difference in survival or tag loss between treatments. The ordinary least squares regression detected no effect of tag size on growth for Santa Ana Suckers.
Results suggest that 8- and 12-mm PIT tags are suitable options for tagging Santa Ana Suckers measuring at least 62 and 70 mm fork length, respectively. Supplementing the current sampling strategy with PIT tags could help monitoring efforts to expand spatially and temporally while providing expanded population data to inform adaptive management actions for the Santa Ana Sucker.
Agricultural conservation practices are often used to protect stream health while continuing food production. However, recovery of stream health is often not as rapid or extensive as planned. The efficacy of practices may be improved by promoting their continued use by landowners (i.e., persistence) after cost-share contracts with government agencies end. Persistence rates and their drivers are typically unknown. Therefore, we mail-surveyed 889 landowners to understand persistence in grazing practices in southwest Virginia. Survey responses were analyzed quantitatively using logistic regression and qualitatively via coding. We found that persistence rates for vegetative practices, cattle-exclusion fencing, off-stream watering structures, and pasture management were 74%, 84%, 94%, and 94%, respectively. Both the quantitative and qualitative analyses indicated that landowner cognitions (i.e., attitudes toward practices, environment, and agencies), environmental motivations, and practice durability influence persistence. Our results highlight that persistence could be encouraged by: (1) providing targeted messaging that demonstrates persistence benefits and aligns with landowners' motivations, (2) ensuring that responsibility to maintain practices is transferred during land-tenure changes, and (3) allocating more agency funding to practice maintenance.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70201","usgsCitation":"Mouser, J.B., Dayer, A.A., Ciparis, S., Bottenfield, S., and Angermeier, P., 2025, Landowners' cognitions and motivations coupled with practice durability influence persistence in grazing agricultural conservation practices in southwest Virginia: Conservation Science and Practice, e70201, 15 p., https://doi.org/10.1111/csp2.70201.","productDescription":"e70201, 15 p.","ipdsId":"IP-165843","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498844,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498939,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70201","text":"Publisher Index Page"}],"country":"United States","state":"Virginia","otherGeospatial":"southwest Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.90759974813469,\n 36.538485100358656\n ],\n [\n -81.74021235758092,\n 36.86345360817941\n ],\n [\n -81.86094324712056,\n 37.15010067210214\n ],\n [\n -83.04433182206326,\n 36.866145988606135\n ],\n [\n -82.90759974813469,\n 36.538485100358656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, Joshua B.","contributorId":365374,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":365375,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciparis, Serena","contributorId":203242,"corporation":false,"usgs":false,"family":"Ciparis","given":"Serena","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bottenfield, Sara","contributorId":365376,"corporation":false,"usgs":false,"family":"Bottenfield","given":"Sara","affiliations":[{"id":87133,"text":"Department of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":954237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":954238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273351,"text":"70273351 - 2026 - Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","interactions":[],"lastModifiedDate":"2026-01-09T17:12:25.941374","indexId":"70273351","displayToPublicDate":"2025-12-27T11:01:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","docAbstract":"Remote sensing can provide reliable information on river depths and this approach might be particularly valuable in areas that are difficult to survey via conventional field methods. In this study, we assessed the potential to map the bathymetry of an inaccessible proglacial river in Alaska from both aerial orthophotos and a multispectral satellite image. In addition, we evaluated a variety of depth retrieval algorithms with different input data requirements, including some methods that require field measurements of water depth for calibration and other techniques that can be applied even when such field data are not available. These approaches might enable more efficient use of remote sensing methods by resource management agencies. Our results suggest that bathymetric mapping along the turquoise-colored river we examined was not only feasible but highly accurate ( R2 up to 0.94) for both types of image data. Algorithms that use paired observations of depth and reflectance to train depth retrieval models were the most accurate, with errors on the order of 15%–20% and little or no bias. Alternative techniques based on hydraulic and statistical concepts also led to strong agreement between predicted and observed depths but were more susceptible to systematic biases toward under- or over-estimation of depth. In contrast to clear-flowing streams, bathymetric mapping in this environment was enabled by a direct relationship between the depth and brightness of the water due to scattering by suspended sediment. In selecting an appropriate depth retrieval method, a compromise might need to be reached between the level of field effort invested and the accuracy of the resulting image-derived bathymetry. Standalone software for implementing these techniques is freely available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.110140","usgsCitation":"Legleiter, C.J., Leonard, C.M., Burger, P.A., Pletcher, A.G., and Kinzel, P.J., 2026, Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska: Geomorphology, v. 495, 110140, 24 p., https://doi.org/10.1016/j.geomorph.2025.110140.","productDescription":"110140, 24 p.","ipdsId":"IP-179757","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":498513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Alaska","otherGeospatial":"Mulchatna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.00824680332022,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.789825438561536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"495","noUsgsAuthors":false,"publicationDate":"2025-12-27","publicationStatus":"PW","contributors":{"authors":[{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":953421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burger, Paul A. 0009-0005-7135-8290","orcid":"https://orcid.org/0009-0005-7135-8290","contributorId":360579,"corporation":false,"usgs":false,"family":"Burger","given":"Paul","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletcher, Addison G. 0009-0002-3775-0852","orcid":"https://orcid.org/0009-0002-3775-0852","contributorId":360580,"corporation":false,"usgs":false,"family":"Pletcher","given":"Addison","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274529,"text":"70274529 - 2026 - Using a BACI design to assess stream ecology and chemistry response after wildfire","interactions":[],"lastModifiedDate":"2026-03-31T20:35:52.784577","indexId":"70274529","displayToPublicDate":"2025-12-23T15:33:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Using a BACI design to assess stream ecology and chemistry response after wildfire","docAbstract":"Wildfires can have complex effects on aquatic communities, which can be either beneficial or adverse depending on the setting. In California, USA, the size, frequency, and severity of wildfires has greatly increased over the last few decades. Understanding the effects of fire on aquatic ecosystem health and human land use has become increasingly important in managing the interface of the natural and urban landscape. In this study, we used a before–after control–impact (BACI) study design to test for differences in bed sediment chemistry, water chemistry, benthic algal biomass, and benthic macroinvertebrate communities between burned and unburned (control) watersheds, pre- and post-fire, using data collected before and after California’s 2017 Atlas, Nuns, and Tubbs wildfires. We found a treatment effect (burned vs control) on water chemistry, sediment trace-metal concentrations, algae, and community structure of benthic macroinvertebrates, but we found no evidence of an interaction between time period (pre- vs post-fire) and treatment. Both the difference in environmental factors between our control and burned sample sites and the proximity and degree of wildfire burn severity may have contributed to the results of this BACI study. Our results also highlight the importance of including control sites when assessing the effects of discrete disturbances, such as wildfire, to avoid spurious conclusions of disturbance effects that may be attributable to innate ecological variability.
","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/738617","usgsCitation":"Wulff, M.L., May, J.T., Huntsman, B., Waite, I.R., and Brown, L.M., 2026, Using a BACI design to assess stream ecology and chemistry response after wildfire: Freshwater Science, v. 45, no. 1, p. 1-17, https://doi.org/10.1086/738617.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-120766","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958089,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"May, Jason T.","contributorId":368915,"corporation":false,"usgs":false,"family":"May","given":"Jason","middleInitial":"T.","affiliations":[{"id":34135,"text":"USGS (deceased)","active":true,"usgs":false}],"preferred":false,"id":958090,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Larry M.","contributorId":184044,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":958093,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273255,"text":"70273255 - 2026 - A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","interactions":[],"lastModifiedDate":"2025-12-29T15:17:40.106052","indexId":"70273255","displayToPublicDate":"2025-12-23T09:14:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"A 10-year continuous daily simulation of chloride flux from a suburban watershed in Fairfax County, Virginia, USA","docAbstract":"Increasing levels of chloride in surface water are associated with detrimental effects on water quality, aquatic ecosystems, infrastructure, and human health. Numerous mass-balance studies have inferred watershed transport processes by interpreting chloride inputs and outputs, but few represent internal dynamics explicitly. We constructed a coupled water/chloride mass balance model to gain insights into storage, residence time, and transport processes in a 10-km2 urban watershed. The model, which operates over a 10-year period at a daily time scale, represents storage in a dynamic soil-moisture reservoir, quick-flow runoff from storm events, and slow-flow runoff that sustains streamflow in dry weather. The calibrated model accurately represented (a)the observed transition from a streamflow enrichment regime in cold months to a dilution regime in warmer months, (b) the observed tendency for late-summer concentrations to be higher after winters with heavy snowfall, and (c) a period-of-record downward trend in chloride concentration likely associated with a downward trend in annual snowfall. Estimated chloride inputs averaged 195 metric tons per year, while the average output was 270 metric tons per year. In contrast, estimated storage was only 107 metric tons. The estimated mean residence time in groundwater was 1.27 years. This short residence time indicates that efforts to reduce inputs will manifest as decreased concentrations in streamflow on a management-relevant time scale of several years. The coupled mass balance model yielded insights into internal watershed dynamics that would not be possible from simple input/output analysis; such models can be useful tools for gaining insight into small watershed hydrology and pollutant transport.
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Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Christopher Allan 0000-0003-2072-1414","orcid":"https://orcid.org/0000-0003-2072-1414","contributorId":364564,"corporation":false,"usgs":true,"family":"Custer","given":"Christopher","middleInitial":"Allan","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952892,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273476,"text":"70273476 - 2026 - Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","interactions":[],"lastModifiedDate":"2026-01-20T15:30:26.944609","indexId":"70273476","displayToPublicDate":"2025-12-23T08:46:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs","docAbstract":"Floating photovoltaics (floating solar panels; FPV) can reduce the negative impacts of solar energy development in terrestrial environments, but their effects on freshwater ecosystems remain poorly understood. We examined potential FPV interactions with avian biodiversity, using previously modeled technical potential of FPV in the northeastern United States. We developed a vulnerability index based on avian species’: (i) morphological traits, (ii) level of conservation concern, and (iii) habitat requirements. Using eBird participatory science data, we assessed the risk of FPV to 291 species of birds occurring at FPV-suitable waterbodies based on their vulnerability index and estimated relative abundance at each location. The greatest risk of FPVs to birds was associated with waterbodies near the Atlantic coast and Great Lakes, and most (80%) of these high-risk waterbodies were smaller waterbodies. Because the avian risk at FPV-suitable waterbodies was not correlated with estimated energy generation, reducing risk to birds might not require energy trade-offs. Moreover, avoiding FPV installations at waterbodies predicted to pose high risk to birds is likely to return social and recreational benefits while minimizing risk of biofouling. Our analysis provides a framework for proactively evaluating risk, reducing potential adverse impacts of FPV to birds, and identifying cobenefits of sustainable FPV siting across waterscapes.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5c09819","usgsCitation":"Binley, A.D., Gallaher, A., Rodewald, A.D., and Grodsky, S.M., 2026, Potential interactions between birds and floating photovoltaic solar energy: Spatially informed species vulnerabilities, techno-ecological risks, and sustainability trade-offs: Environmental Science and Technology, v. 60, no. 1, p. 510-621, https://doi.org/10.1021/acs.est.5c09819.","productDescription":"12 p.","startPage":"510","endPage":"621","ipdsId":"IP-181372","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498920,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c09819","text":"Publisher Index Page"},{"id":498737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Vermont, Virginia, Washington DC, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.65501641197895,\n 44.74152548184259\n ],\n [\n -67.6968245772661,\n 45.73794783309825\n ],\n [\n -67.95270949892765,\n 47.379125614743884\n ],\n [\n -69.3915223409562,\n 47.4278826893804\n ],\n [\n -70.99089733033615,\n 45.39194803042125\n ],\n [\n -71.59816120202068,\n 45.0249102712188\n ],\n [\n -74.93724052894156,\n 44.993515254035685\n ],\n [\n -76.75034686370854,\n 43.91376278161334\n ],\n [\n -78.97980279465791,\n 43.429291703689586\n ],\n [\n -78.86279954021416,\n 42.897702704595986\n ],\n [\n -79.54055781839557,\n 42.48834669405045\n ],\n [\n -80.5152362296271,\n 42.22648847140036\n ],\n [\n -80.5372853679192,\n 40.61342359980179\n ],\n [\n -81.46839017947205,\n 39.28753079607813\n ],\n [\n -82.12840686018721,\n 39.08491548516051\n ],\n [\n -82.69161741334696,\n 38.02531835066708\n ],\n [\n -82.02995782117321,\n 37.54106137435666\n ],\n [\n -83.64361903153913,\n 36.60472689492755\n ],\n [\n -75.61198709812805,\n 36.516353887422284\n ],\n [\n -74.66765042081843,\n 38.89523397600536\n ],\n [\n -73.50324716106653,\n 40.2520538786232\n ],\n [\n -71.66037271059179,\n 41.01739604846372\n ],\n [\n -70.84438505823752,\n 41.23839424240364\n ],\n [\n -69.7808356241324,\n 41.14180012249446\n ],\n [\n -69.93670062740647,\n 42.203277879766915\n ],\n [\n -70.3951271076242,\n 42.825025843792105\n ],\n [\n -69.30407208470645,\n 43.759282507474296\n ],\n [\n -66.65501641197895,\n 44.74152548184259\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Binley, Allison D.","contributorId":365181,"corporation":false,"usgs":false,"family":"Binley","given":"Allison","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallaher, Adam","contributorId":348210,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":953874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodewald, Amanda D.","contributorId":365183,"corporation":false,"usgs":false,"family":"Rodewald","given":"Amanda","middleInitial":"D.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":953875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":953876,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273277,"text":"70273277 - 2026 - Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","interactions":[],"lastModifiedDate":"2025-12-30T17:19:51.61749","indexId":"70273277","displayToPublicDate":"2025-12-22T11:14:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","title":"Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California","docAbstract":"San Francisco Bay, California, typically has chlorophyll a (chl-a) concentrations below 10 µg L−1, despite nutrient loadings exceeding those in many estuaries with recurring harmful algal blooms (HABs). However, in August 2022 there was a Heterosigma akashiwo (raphidophyte) bloom with chl-a concentrations exceeding 450 µg L−1, resulting in widespread hypoxia and fish die-off. We used protist community (18S ribosomal ribonucleic acid gene metabarcoding) and environmental data collected 2–3 times per month from 2015–2023 to assess differences between 2022 and other years, and capture dynamics pre-, during, and post-bloom. The 2022 protist community clustered separately from other years in non-metric multidimensional scaling and hierarchical cluster analyses. A diatom bloom in June generated the highest median June chl-a concentration (15 µg L−1) recorded between 1977–2023 and drew down nutrients (nitrogen, silicate), leading to the establishment of a heterotrophic community in July with low dinoflagellate abundance (0.9% of protists versus 5.9% average in other years). The absence of dinoflagellates, potentially including H. akashiwo predators, plus suitable habitat (13–14 daylight hours, temperatures 17–21˚C, nitrate concentrations 17–24 µmol L−1, neap tides) likely provided opportunity for H. akashiwo to proliferate from 0.03% to 48% of protists between July 20 and August 25. As the bloom collapsed, the genus Gyrodinium (dinoflagellate predator of H. akashiwo) increased from 3.0% to 52% of protists between August 25 and August 31, likely exerting grazing pressure. Results show that antecedent protist community dynamics play important roles in shaping HABs, and interactions between biotic and abiotic factors govern the development of blooms.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01629-7","usgsCitation":"Nardelli, S.C., Bouma-Gregson, K., Senn, D., Killam, D., Chelsky, A., Kress, E.S., Richardson, E.T., Otten, T., Kraus, T.E., and Bergamaschi, B.A., 2026, Assessing environmental drivers and protist community dynamics that shaped the historic August 2022 Heterosigma akashiwo bloom in San Francisco Bay, California: Estuaries and Coasts, v. 49, 39, 21 p., https://doi.org/10.1007/s12237-025-01629-7.","productDescription":"39, 21 p.","ipdsId":"IP-176080","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01629-7","text":"Publisher Index Page"},{"id":498161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.64535245048378,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 37.371586670346176\n ],\n [\n -121.58067551793042,\n 38.189646145715784\n ],\n [\n -122.64535245048378,\n 38.189646145715784\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Nardelli, Schuyler Crain 0000-0001-7926-9018","orcid":"https://orcid.org/0000-0001-7926-9018","contributorId":364651,"corporation":false,"usgs":true,"family":"Nardelli","given":"Schuyler","middleInitial":"Crain","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senn, David 0000-0002-4869-3550","orcid":"https://orcid.org/0000-0002-4869-3550","contributorId":329401,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Killam, Daniel 0000-0001-7569-1828","orcid":"https://orcid.org/0000-0001-7569-1828","contributorId":364654,"corporation":false,"usgs":false,"family":"Killam","given":"Daniel","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953006,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chelsky, Ariella 0000-0002-4363-3401","orcid":"https://orcid.org/0000-0002-4363-3401","contributorId":364655,"corporation":false,"usgs":false,"family":"Chelsky","given":"Ariella","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":953007,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kress, Erica S. 0000-0001-8204-6368 ekress@usgs.gov","orcid":"https://orcid.org/0000-0001-8204-6368","contributorId":4859,"corporation":false,"usgs":true,"family":"Kress","given":"Erica","email":"ekress@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":953008,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richardson, Emily T. 0000-0003-2696-8266","orcid":"https://orcid.org/0000-0003-2696-8266","contributorId":304430,"corporation":false,"usgs":true,"family":"Richardson","given":"Emily","email":"","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Otten, Timothy","contributorId":173804,"corporation":false,"usgs":false,"family":"Otten","given":"Timothy","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":953010,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953011,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953012,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273376,"text":"70273376 - 2026 - Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","interactions":[],"lastModifiedDate":"2026-01-09T16:48:56.879977","indexId":"70273376","displayToPublicDate":"2025-12-17T10:44:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23125,"text":"Science of the Total Environment.","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations","docAbstract":"This study provides a comprehensive assessment of phytoplankton biomass dynamics in Lake Pontchartrain, Louisiana, by combining monthly water quality data with multispectral and hyperspectral satellite observations using a machine learning algorithm. A machine learning model based on Variational Autoencoder (VAE), globally applicable, was used to estimate phytoplankton biomass via chlorophyll-a (Chl-a) from Sentinel 2-MSI and NASA's new hyperspectral mission, PACE-OCI, enabling the first direct comparison between the two sensors. The model performed well in this complex estuarine system, with higher accuracy from PACE-OCI (MAE: 1.48, RMSE: 10.40, slope: 0.87) than Sentinel 2-MSI (MAE: 1.57, RMSE: 11.08, slope: 0.83). This approach enabled continuous high-resolution monitoring of phytoplankton biomass across space and time. Comparative analysis of 2019, a wet year with Bonnet Carré Spillway (BCS) openings, and 2023, a dry year with extremely low riverine inputs, revealed distinct biomass dynamics. In 2019, BCS discharge initially suppressed Chl-a within turbid waters (<5 mg Chl-a m−3) but later acted as a nutrient and hydrodynamic driver, transporting nutrients toward the lake outlet and Mississippi coast, promoting high biomass (25–45 mg Chl-a m−3) near the entrance. In contrast, dry conditions in 2023 led to more frequent-than-expected high biomass (>35 mg Chl-a m−3), persisting in the lake center. Similar spatial patterns were observed again in 2024, revealed for the first time by PACE-OCI. This study demonstrates the value of satellite-derived observations for capturing transient phytoplankton biomass events and highlights the potential of PACE-OCI's hyperspectral capabilities to better distinguish phytoplankton communities and improve understanding of their responses to freshwater inflows and associated processes driving pulses into estuaries.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.181126","usgsCitation":"Shrestha, S., Liu, B., Li, J., Huang, W., Baustian, M.M., D'Sa, E.J., Bargu, S., Messina, F., Georgiou, I.Y., Kumar, A., Freeman, A., and Mize, S., 2026, Phytoplankton biomass dynamics in wet (2019) and dry (2023) years in Lake Pontchartrain estuary, Louisiana from Sentinel 2-MSI and PACE-OCI observations: Science of the Total Environment., v. 1011, 181126, 18 p., https://doi.org/10.1016/j.scitotenv.2025.181126.","productDescription":"181126, 18 p.","ipdsId":"IP-182233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2025.181126","text":"Publisher Index Page"},{"id":498512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Francesca","contributorId":316256,"corporation":false,"usgs":false,"family":"Messina","given":"Francesca","email":"","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":953510,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Georgiou, Ioannis Y.","contributorId":364948,"corporation":false,"usgs":false,"family":"Georgiou","given":"Ioannis","middleInitial":"Y.","affiliations":[{"id":81504,"text":"The Water Institute","active":true,"usgs":false}],"preferred":false,"id":953511,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kumar, Abhishek","contributorId":316778,"corporation":false,"usgs":false,"family":"Kumar","given":"Abhishek","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":953512,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Freeman, Angelina","contributorId":223755,"corporation":false,"usgs":false,"family":"Freeman","given":"Angelina","affiliations":[{"id":40763,"text":"Coastal Protection and Restoration Authority","active":true,"usgs":false}],"preferred":false,"id":953513,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mize, Scott 0000-0001-6751-5568","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":218508,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953514,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70273229,"text":"70273229 - 2026 - Changing dynamic phosphorus forms from field to stream during surface runoff events","interactions":[],"lastModifiedDate":"2025-12-22T15:45:49.089097","indexId":"70273229","displayToPublicDate":"2025-12-17T09:41:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Changing dynamic phosphorus forms from field to stream during surface runoff events","docAbstract":"The risk of water quality impairment from agricultural runoff depends on nutrient source, transport, and bioavailability. Phosphorus (P) spirals between dissolved and particulate forms as it is transported with suspended sediment (SS) from agricultural fields, through the stream network, to receiving water bodies. This dynamic sorption-desorption influences bioavailability. We quantified P form and abundance in samples collected during surface-runoff events from a farm field in the East River Basin, Wisconsin and compared them to those in stream water collected from the East River. We sampled five events between late March 2022 and June 2023. During most events, P in surface runoff was mainly in dissolved form, with particulate P sorbed to fine clay, the most abundant particle fraction transported from the field, whereas P in stream water was mainly in particulate form and sorbed to silt, even though fine clay was the most abundant particle fraction in the stream during events. Overall capacity for P sorption to SS in the stream varied among events. Total P and SS concentrations were lower during summer baseflow conditions and smaller surface runoff events; however, what SS was present was more P enriched. This shift in P form from field to stream indicates a potential for sorbing dissolved P to SS during transport through the stream network, which changes the bioavailability of P exported downstream with less bioavailable P as dissolved P binds to SS.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70096","usgsCitation":"Kreiling, R.M., Williamson, T.N., Fitzpatrick, F., Gierke, K., Blount, J.D., Perner, P.M., Mevis, I., Broerman, H., Merriman, K.R., and Komiskey, M.J., 2026, Changing dynamic phosphorus forms from field to stream during surface runoff events: Journal of Environmental Quality, v. 55, no. 1, e70096, 15 p., https://doi.org/10.1002/jeq2.70096.","productDescription":"e70096, 15 p.","ipdsId":"IP-176702","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498048,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70096","text":"Publisher Index Page"},{"id":497871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Greater white-fronted goose habitat use in Louisiana provides water depth management insights","docAbstract":"Numerous waterfowl species have altered their geographic distribution in recent decades. The greater white-fronted goose (Anser albifrons) has shifted its wintering distribution from coastal marshes in Texas and Louisiana, USA, to interior landscapes, creating challenges for conservation managers. Although the range shift has been primarily attributed to landscape-scale changes in rice production, effects of fine-scale habitat conditions on greater white-fronted goose habitat use are unknown. Thus, information on fine-scale environmental conditions could provide information to managers working to mitigate effects of the shift. We used global positioning system neck collars to monitor 78 greater white-fronted geese in Louisiana each winter during 2016–2019 and visited all used locations to record vegetation height, water depth, and land cover. We modeled greater white-fronted goose habitat use in 4 regions across Louisiana (central, coastal, north, southwest), and evaluated effects of vegetation height, water depth, land cover, and interactions. In our candidate model set, we included a sampling null, which accounted for differences in sampling frequencies among hunt seasons and diel periods. The top model in the central, coastal, and north regions included water depth, whereas the top model in the southwest region included water depth, vegetation height, and land cover. Parameter estimates and confidence intervals indicated that goose habitat use was higher at sites with >5.1 cm of water compared to dry sites or sites with <5.1 cm of water. In the southwest region, goose habitat use was highest in areas identified as other land cover (e.g., corn, cotton, rye, sugarcane) and lowest in open water. Although Louisiana has substantial anthropogenic food resources in the form of rice agriculture and abundant grazing opportunities afforded by mild winters, our results indicate that wet areas provide better habitat to greater white-fronted geese than dry areas. New agricultural flooding regimes in Louisiana could improve habitat quality and potentially mitigate some effects of the winter distribution shift.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70153","usgsCitation":"Beatty, W., Link, P.T., Leach, B., Houdek, S.C., and Webb, E.B., 2026, Greater white-fronted goose habitat use in Louisiana provides water depth management insights: Journal of Wildlife Management, v. 50, no. 2, e70153, 19 p., https://doi.org/10.1002/jwmg.70153.","productDescription":"e70153, 19 p.","ipdsId":"IP-168484","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497872,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Link, Paul T.","contributorId":364512,"corporation":false,"usgs":false,"family":"Link","given":"Paul","middleInitial":"T.","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leach, Brett","contributorId":356397,"corporation":false,"usgs":false,"family":"Leach","given":"Brett","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":952792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houdek, Steven C. 0000-0001-9452-6596 shoudek@usgs.gov","orcid":"https://orcid.org/0000-0001-9452-6596","contributorId":4423,"corporation":false,"usgs":true,"family":"Houdek","given":"Steven","email":"shoudek@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 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changing world","docAbstract":"As water-quality challenges intensify, the widely used Weighted Regressions on Time, Discharge, and Season (WRTDS) method offers an adaptable and practical framework for global water-quality science and management.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-025-00753-z","usgsCitation":"Zhang, Q., Hirsch, R.M., DeCicco, L., and Murphy, J.C., 2026, Advancing an adaptable and practical framework to address water quality challenges in a changing world: Nature Reviews Earth & Environment, v. 7, p. 1-3, https://doi.org/10.1038/s43017-025-00753-z.","productDescription":"3 p.","startPage":"1","endPage":"3","ipdsId":"IP-182874","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2025-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":953282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, Robert M. 0000-0002-4534-075X rhirsch@usgs.gov","orcid":"https://orcid.org/0000-0002-4534-075X","contributorId":2005,"corporation":false,"usgs":true,"family":"Hirsch","given":"Robert","email":"rhirsch@usgs.gov","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":953283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCicco, Laura 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","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273223,"text":"70273223 - 2026 - Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","interactions":[],"lastModifiedDate":"2026-02-09T16:18:21.216938","indexId":"70273223","displayToPublicDate":"2025-12-12T09:32:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2850,"text":"Near Surface Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023","docAbstract":"Total dissolved solids derived from salt dome–sourced brine in the underlying alluvial aquifer substantially increase with distance in the reach of the Dolores River that passes through Paradox Valley in southwestern Colorado. The area has been the site of salinity control operations since the 1990s to reduce salt loading to the downstream Colorado River. Previous airborne and ground/water-based electromagnetic (EM) geophysical data have successfully mapped the top of the brine surface, albeit with relatively coarse near-surface resolution and limited spatial coverage. This present December 2023 study used ground-based high-resolution EM and passive seismic (horizontal-to-vertical spectral ratio, HVSR) tools to map in detail the depth and thickness of the brine zone in the alluvial aquifer (top of the brine down to bedrock contact) in areas immediately surrounding the Dolores River where previous airborne EM (AEM) results indicated brine within 10 m of land surface. Results indicate the deepest bedrock is generally associated with the shallowest brine and local depressions in the collapse breccia (caprock to the Paradox Formation salt) may facilitate vertical migration of brine into the alluvial aquifer. Additionally, the ground-based EM mapping corroborated general patterns in depth to brine that were observed in previous AEM results while also revealing additional detail, including suspected focused brine discharge zones to the Dolores River. A river-based survey wherein EM data, channel depth and river water–specific conductance information were collected augmented these findings and indicated specific areas on both the western and eastern sides of the river where focused brine discharge may occur. This study comprises a large-scale, ground- and water-based geophysical mapping effort, including hundreds of HVSR soundings and 100s of kilometres of EM data, which were successfully translated into digital brine and bedrock surfaces that could be incorporated into groundwater modelling efforts, future well siting or other decision-making.
","language":"English","publisher":"Wiley","doi":"10.1002/nsg.70032","usgsCitation":"Terry, N., Mast, M.A., Creighton, A.L., Homan, J.W., Newman, C.P., and Paschke, S.S., 2026, Multi-scale geophysical mapping of the brine and bedrock surfaces along the Dolores River, Paradox Valley, Colorado, December 2023: Near Surface Geophysics, v. 24, no. 1, p. 36-49, https://doi.org/10.1002/nsg.70032.","productDescription":"14 p.","startPage":"36","endPage":"49","ipdsId":"IP-171913","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":497869,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498045,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nsg.70032","text":"Publisher Index Page"}],"country":"United States","state":"Colorado","otherGeospatial":"Dolores River, Paradox Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.932,\n 38.378\n ],\n [\n -108.932,\n 38.292\n ],\n [\n -108.797,\n 38.292\n ],\n [\n -108.797,\n 38.378\n ],\n [\n -108.932,\n 38.378\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":952784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":211054,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Creighton, Andrea L. 0000-0003-3183-5396","orcid":"https://orcid.org/0000-0003-3183-5396","contributorId":268162,"corporation":false,"usgs":true,"family":"Creighton","given":"Andrea","email":"","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Joel William 0000-0002-6709-123X","orcid":"https://orcid.org/0000-0002-6709-123X","contributorId":315495,"corporation":false,"usgs":true,"family":"Homan","given":"Joel","email":"","middleInitial":"William","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952789,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272973,"text":"70272973 - 2026 - Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima","interactions":[],"lastModifiedDate":"2025-12-11T14:36:17.993404","indexId":"70272973","displayToPublicDate":"2025-12-10T08:31:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima","title":"Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima","docAbstract":"Widespread pesticide and herbicide use paired with frequent transport away from application sites has led to pesticide presence in nearly all terrestrial and aquatic environments globally. Pesticides have unintentional toxic effects on non-target organisms by interfering with cellular processes, behavior, feeding, reproduction, and disrupting endocrine processes. The aggregating anemone, Anthopleura elegantissima, is an important species along the North American Pacific coast due to its symbiotic relationships that contribute to high productivity, and its clonal abundance that structures the rocky intertidal habitat. Commonly used pesticides, atrazine, diuron, and carbendazim were previously detected in coastal waters of Oregon, U.S.A. This study examined the potential effects of these pesticides at environmentally relevant concentrations on reproduction, symbionts, and behavior of A. elegantissima over an eight-week period. Pesticides significantly decreased gonad development in all treatments, having the most significant effect in individual treatments of atrazine (p = 0.003), carbendazim (p = 0.003), and the mixture of all three pesticides (p = 0.008). All pesticide treatments significantly increased cloning behavior compared to the control, suggesting that cloning could be a stress response. Pesticide exposure also significantly increased tentacle retraction movement, suggesting possible metabolic or energy impairments. While other studies have previously found behavioral changes in anemones due to pollutants, our study is the first to document behavioral changes in anemones from pesticide exposure. All three pesticides significantly impacted a non-target marine invertebrate at environmentally relevant concentrations, which underscores the value of studies that focus on effects on marine invertebrates, paired with comprehensive pesticide monitoring in coastal areas.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2025.119118","usgsCitation":"Bleil, B., Granek, E.F., Kirk, N.L., and Hladik, M.L., 2026, Chronic, low concentration pesticide exposure alters reproduction and behavior in the intertidal sea anemone, Anthopleura elegantissima: Marine Pollution Bulletin, 119118, 11 p., https://doi.org/10.1016/j.marpolbul.2025.119118.","productDescription":"119118, 11 p.","ipdsId":"IP-179709","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","city":"Yachats","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.1106684516941,\n 44.312645574490205\n ],\n [\n -124.1106684516941,\n 44.309303217626194\n ],\n [\n -124.10574362095593,\n 44.309303217626194\n ],\n [\n -124.10574362095593,\n 44.312645574490205\n ],\n [\n -124.1106684516941,\n 44.312645574490205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bleil, Bria","contributorId":354634,"corporation":false,"usgs":false,"family":"Bleil","given":"Bria","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":951946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granek, Elise F.","contributorId":363763,"corporation":false,"usgs":false,"family":"Granek","given":"Elise","middleInitial":"F.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":951947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirk, Nathan L.","contributorId":363764,"corporation":false,"usgs":false,"family":"Kirk","given":"Nathan","middleInitial":"L.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":951948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hladik, Michelle L. 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":951949,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273205,"text":"70273205 - 2026 - From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","interactions":[],"lastModifiedDate":"2025-12-19T14:48:05.059591","indexId":"70273205","displayToPublicDate":"2025-12-09T08:42:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York","docAbstract":"Monitoring cyanobacteria and other nuisance phytoplankton in the Hudson River is of great interest given its societal and ecological importance. Satellite remote sensing provides a cost-effective method to monitor chlorophyll-a (chl-a), a common proxy for algal biomass; however, the dynamic nature of rivers complicates approaches traditionally applied to lakes and oceans. During 2021–2023, we collected discrete samples for laboratory measurement of chl-a and measured in situ chl-a fluorescence during a series of longitudinal boat surveys along a 220-km reach of the lower Hudson River. Surveys were timed to coincide with Sentinel-2 satellite overpasses. We first investigated relations between laboratory-measured chl-a concentration and field-measured chl-a fluorescence, observing a weak correlation (r2 = 0.25) that improved substantially after splitting data by day (mean r2 = 0.53). Separately, to estimate chl-a fluorescence using satellite data, we developed a series of random forest models leveraging the rich fluorescence dataset collected. We tested three model types: individual day models, leave-one-out models trained on all days except a holdout test day, and a single pooled model trained on all days. Generally, individual day models exhibited lowest error (mean of mean absolute error [MAE] = 0.16 relative fluorescence units [RFU]), followed by the single pooled model (MAE = 0.22 RFU). Daily holdout models showed highest error (mean MAE = 0.40 RFU); this approach was intended to represent model performance on a day unseen in the training set, providing a more conservative estimate of performance than the more traditional pooled approach. Findings from both analyses emphasize the importance of considering temporal variability when modeling riverine systems.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10661-025-14844-3","usgsCitation":"Salls, W.B., Welk, R., King, T.V., Scavotto, N., Gorney, R.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., and Graham, J.L., 2026, From sample to sonde to Sentinel-2: Insights from a multi-scale chlorophyll-a monitoring effort in the Hudson River, New York: Environmental Monitoring and Assessment, v. 198, 25, 30 p., https://doi.org/10.1007/s10661-025-14844-3.","productDescription":"25, 30 p.","ipdsId":"IP-176108","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":498038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-025-14844-3","text":"Publisher Index Page"},{"id":497763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","otherGeospatial":"Hudson 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Multiple lakes and reservoirs within New Jersey's Raritan Basin Water Supply Complex (RBWSC) feature recurrent HABs and discharge water into the Raritan River. As the RBWSC provides drinking water to 1.5 million people, these HABs create drinking water treatment and human health concerns. This study quantitatively reviews the persistence of cyanobacteria communities across the RBWSC from cyanobacteria-dominated lacustrine sources to downstream drinking water and qualitatively assess what, if any, water chemistry parameters influenced the persistence, growth, or decline of cyanobacteria during downstream transport. Statistical tests showed there was a lack of continuity between cyanobacteria communities along the Raritan River, except for periods of higher streamflow and higher releases from the Spruce Run Reservoir. Results along the Millstone River suggested the potential for in-river cyanobacteria growth, which overlapped with periods of low streamflow and high nutrient concentrations in the summer and fall. A permutational analysis of variance (PERMANVOA) test found significantly dissimilar (p < 0.01) cyanobacteria communities between lake and reservoir outlet sites and downstream sites in the Raritan, but not the Millstone River (p = 0.928). A similarity percentage (SIMPER) analysis found cyanobacteria communities changed from high densities of bloom forming cyanobacteria (Aphanocapsa, Aphanizomenon, Microcystis) at the lake outlet sites to low densities of non-bloom forming cyanobacteria (Synechcoccus, Chroococcus) along the Raritan mainstem, with Aphanocapsa the most notable bloom forming genera overlapping between sites. Investigating cyanobacteria on a watershed-specific basis could enhance understanding of the site-specific transport mechanisms and water chemistry parameters that facilitate community persistence.
","language":"English","publisher":"Cell Press","doi":"10.1016/j.heliyon.2025.e44230","usgsCitation":"Clonan, K., Wu, M., Heckathorn, H., Desko, H., Ernst, E., Reilly, P.A., Schuster, R.L., Newby, R., Hurley, A., and Rossi, A., 2026, Downstream persistence of cyanobacteria in New Jersey's Raritan River basin: Heliyon, v. 12, no. 1, e44230, 14 p., https://doi.org/10.1016/j.heliyon.2025.e44230.","productDescription":"e44230, 14 p.","ipdsId":"IP-154950","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":498050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2025.e44230","text":"Publisher Index Page"},{"id":497933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Raritan River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n 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Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20 % of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273406,"text":"70273406 - 2026 - Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","interactions":[],"lastModifiedDate":"2026-02-09T16:22:21.286365","indexId":"70273406","displayToPublicDate":"2025-12-05T08:27:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","docAbstract":"Seed-based restoration is widely implemented to recover degraded lands but often fails. Seed enhancement technologies may improve outcomes by shifting emergence to target favorable climate windows and serving as a bet-hedging strategy against increasingly variable precipitation patterns.
To test the potential benefit of these technologies, we applied seed coatings designed to accelerate or delay emergence to four native Intermountain West perennial grasses that are commonly used for restoration.
We subjected seeds to six different watering regimes in the greenhouse that represented variation in precipitation timing and amount and compared the emergence, growth, and biomass of coated and uncoated seedlings.
Seed coating designed to accelerate germination strongly increased emergence in species with high dormancy requirements, while seed coating designed to delay germination decreased emergence in species with low dormancy by about half and postponed emergence by up to 15 days. These coatings altered emergence timing regardless of watering regime, suggesting that seed coating could expand emergence windows under variable precipitation regimes. Seedling growth and total biomass were less dependent on seed coating and were more driven by the average amount of soil moisture provisioned to the developing plant. While seed coating designed to accelerate germination increased the emergence of two grass species, growth decreased during late periods of water availability, suggesting a trade-off in seedling performance.
Our results show promise for seed coatings to shift windows of emergence, but further field testing could improve our understanding of their effects in restoration settings.
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