Building on a geology-based assessment of undiscovered, technically recoverable hydrocarbon resources within the Haynesville Formation, the U.S. Geological Survey estimated the water and proppant necessary for development of the remaining resources associated with the Haynesville Sabine Uplift Continuous Gas Assessment Unit. Additionally, projections have been made on the volume of wastewater expected as a byproduct of possible future development. This fact sheet presents an overview of the methodology, along with the inputs and results of the Haynesville water and proppant assessment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253053","usgsCitation":"Gardner, R., Flaum, J.A., Haines, S.S., Birdwell, J.E., Kinney, S.A., Varela, B., French, K.L., Pitman, J.K., Paxton, S.T., Mercier, T.J., Schenk, C.J., Leathers-Miller, H.M., and Shook, H.D., 2026, Assessment of water and proppant quantities associated with hydrocarbon production from the Haynesville Formation within the onshore United States and State waters of the Gulf Coast Basin, 2024: U.S. Geological Survey Fact Sheet 2025–3053, 4 p., https://doi.org/10.3133/fs20253053.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171002","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499599,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119154.htm","linkFileType":{"id":5,"text":"html"}},{"id":498591,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253053/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3053"},{"id":498515,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3053/fs20253053.xml"},{"id":497505,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1UCE8FT","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Gulf Coast Mesozoic Province, Haynesville Formation Water and Proppant Assessment—Assessment Input Tables and Fact Sheet Data Tables"},{"id":498514,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3053/images"},{"id":497504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3053/fs20253053.pdf","text":"Report","size":"2.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3053"},{"id":497503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3053/coverthb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102,\n 33.838592660251564\n ],\n [\n -102,\n 27.450416297985527\n ],\n [\n -86,\n 27.450416297985527\n ],\n [\n -86,\n 33.838592660251564\n ],\n [\n -102,\n 33.838592660251564\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
The U.S. Army Fort Irwin National Training Center (NTC), 120 miles northeast of Los Angeles in the Mojave Desert of California, obtains its potable water supply from the Bicycle Valley and Langford Valley groundwater basins; Langford Valley groundwater basin is further subdivided into the Langford Well Lake and Irwin groundwater subbasins. The Irwin groundwater subbasin contains younger, unconsolidated deposits that have a saturated thickness of as much as 200 feet (ft) and a lower aquifer within older unconsolidated deposits as thick as 650 ft. Groundwater recharge under predevelopment conditions (before 1941) occurred primarily from infiltration of intermittent streamflow in small washes that cross the Irwin groundwater subbasin. Since that time, groundwater recharge has increased because of growth of the NTC in recent years and as a result of other processes, including (1) infiltration of treated wastewater into the aquifer through ponds near the NTC wastewater treatment facility (WWTF) and (2) infiltration of imported water and treated wastewater used for landscape irrigation at base housing and athletic fields.
Water samples were collected from 17 wells and analyzed for field parameters, chemical constituents, and isotope composition in the Irwin groundwater subbasin between 2014 and 2019. These data were supplemented with water-chemistry data collected during 1993–95 and at other times if available. Between 1993–95 and 2015–19, median dissolved solids and nitrate concentrations in water from wells in the Irwin groundwater subbasin increased from 620 to 1,030 milligrams per liter (mg/L) and from 2.8 to 4.5 mg/L as nitrogen, respectively. After 2014, dissolved solids and nitrate concentrations in water from wells near the NTC WWTF decreased as a result of changes in source water quality attributable to reverse osmosis of treated drinking water delivered within the Irwin groundwater subbasin and to increased levels of treatment at the NTC WWTF. Based on delta oxygen-18 and delta deuterium isotope data, increases in dissolved solids concentrations in water from most wells were consistent with evaporation prior to recharge and mobilization of soluble salts from the unsaturated zone. Arsenic and fluoride concentrations in water from wells decreased between 1993–95 and 2015–19 as the basin filled with treated wastewater, but 2015–19 concentrations generally exceeded the California State Water Resources Control Board maximum contaminant levels of 10 micrograms per liter for arsenic and 2 mg/L for fluoride. Most groundwater in the Irwin groundwater subbasin has unadjusted carbon-14 ages ranging from 18,400 to 12,350 years before present. However, water from well 10E3, located along the wash near the subbasin outflow in the southeastern part of the Irwin groundwater subbasin, contained measurable tritium, which is consistent with infiltration of intermittent streamflow and groundwater recharge from the wash after 1952. Chemical and isotopic data indicate that treated wastewater is present in water from most wells in the upper aquifer that underlies the Irwin groundwater subbasin. Wells were not sampled to adequately determine the extent of treated wastewater and changes in water quality within the lower aquifer that underlies the Irwin groundwater subbasin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255105","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","programNote":"Water Resources Mission Area—Water Availability and Use Science Program","usgsCitation":"Densmore, J.N., Izbicki, J.A., Dick, M.C., and Bond, S., 2026, Evaluation of water quality in the Langford Valley–Irwin Groundwater Subbasin, Fort Irwin National Training Center, California, 1993–2019: U.S. Geological Survey Scientific Investigations Report 2025–5105, 45 p., https://doi.org/10.3133/sir20255105.","productDescription":"Report: x, 45 p.; Data Release","numberOfPages":"45","onlineOnly":"Y","ipdsId":"IP-119450","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498846,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119155.htm","linkFileType":{"id":5,"text":"html"}},{"id":498463,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HQ9C4W","text":"USGS data release","linkHelpText":"Water-quality data for treated drinking water and treated wastewater effluent at Fort Irwin National Training Center"},{"id":498462,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5105/images"},{"id":498458,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5105/coverthb.jpg"},{"id":498459,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5105/sir20255105.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5105 PDF"},{"id":498460,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255105/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5105 HTML"},{"id":498461,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5105/sir20255105.XML","description":"SIR 2025-5105 XML"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center, Langford Valley–Irwin Groundwater Subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.8892991637174,\n 35.417534498160876\n ],\n [\n -116.8892991637174,\n 35.081465765359056\n ],\n [\n -116.43900695086751,\n 35.081465765359056\n ],\n [\n -116.43900695086751,\n 35.417534498160876\n ],\n [\n -116.8892991637174,\n 35.417534498160876\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
Karr (1981), which introduced the index of biotic (or biological) integrity (IBI) has been cited more often (>4,500 times) than any other paper in Fisheries. In this essay, we reflect on the historical context of this seminal publication and its broad, continuing impact on the management of natural resources, especially freshwater ecosystems.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuaf120","usgsCitation":"Angermeier, P., Karr, J.R., Yoder, C.O., and Hughes, R.M., 2026, Igniting the transition from water quality to biological condition and ecological health: Fisheries, v. 51, no. 1, p. 28-33, https://doi.org/10.1093/fshmag/vuaf120.","productDescription":"6 p.","startPage":"28","endPage":"33","ipdsId":"IP-181809","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-09","publicationStatus":"PW","contributors":{"authors":[{"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":954207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karr, James R.","contributorId":365365,"corporation":false,"usgs":false,"family":"Karr","given":"James","middleInitial":"R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoder, Chris O.","contributorId":365431,"corporation":false,"usgs":false,"family":"Yoder","given":"Chris","middleInitial":"O.","affiliations":[],"preferred":false,"id":954293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Robert M.","contributorId":113579,"corporation":false,"usgs":true,"family":"Hughes","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":954209,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274099,"text":"70274099 - 2026 - ENSO and PDO drive shoreline position anomalies in the U.S. Pacific Northwest","interactions":[],"lastModifiedDate":"2026-02-25T15:35:31.584463","indexId":"70274099","displayToPublicDate":"2026-01-09T08:26:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"ENSO and PDO drive shoreline position anomalies in the U.S. Pacific Northwest","docAbstract":"Sandy beaches act as buffers against various coastal hazards but are vulnerable to episodic (seasonal) and chronic (interannual) erosion. Understanding the variation of shoreline position, a key metric in coastal morphology, over a spectrum of time scales is therefore crucial in assessing hazard vulnerability. Long-standing research has investigated the role of El Niño-Southern Oscillation (ENSO), the dominant mode of climate variability in the Pacific Basin, in seasonal shoreline variability. Yet, ENSO’s chronic influence—and that of another Pacific climate mode, the Pacific Decadal Oscillation (PDO)—on shoreline anomalies remains poorly understood. Here, we examine the variability of sandy beaches in the US Pacific Northwest, a ∼750 km long coastal region on the US West Coast. We leverage 40 years (1984–2024) of shoreline data from publicly available Earth-observing (Landsat) satellite imagery at a high spatial resolution (>10,000 shore-normal transects at 50-m alongshore spacing) and employ Convergent Cross Mapping (CCM), a methodology for inferring causality in dynamical systems. We discover that strong El Niño years are signified by erosion (75.1% of transects), and strong La Niña years exhibit accretional behavior (73.4% of transects). Furthermore, we establish, for the first time, that both ENSO and PDO exert a statistically significant control on interannual shoreline variability, particularly on the alongshore component (in 95 and 100% of littoral cells, respectively), with water level fluctuations playing a critical role. This effort advances our understanding of the seasonal-to-interannual interactions between Pacific Basin climate variability and the PNW’s coastal morphodynamics, with implications for sediment management and coastal adaptation.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/pnasnexus/pgaf404","usgsCitation":"Taherkhani, M., Vitousek, S., Graffin, M., Vos, K., Allan, J.C., Kaminsky, G.M., Ruggiero, P., 2026, ENSO and PDO drive shoreline position anomalies in the U.S. Pacific Northwest: PNAS Nexus, v. 5, no. 1, pgaf404, 15 p., https://doi.org/10.1093/pnasnexus/pgaf404.","productDescription":"pgaf404, 15 p.","ipdsId":"IP-176083","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgaf404","text":"Publisher Index Page"},{"id":500510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Pacific Northwest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.83369555506572,\n 48.57459950593827\n ],\n [\n -126.00388302759357,\n 39.14100845126933\n ],\n [\n -122.98418105660868,\n 39.14100845126933\n ],\n [\n -122.61669284602645,\n 48.33915875055985\n ],\n [\n -125.83369555506572,\n 48.57459950593827\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Taherkhani, Mohsen","contributorId":366984,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956530,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graffin, Marcan","contributorId":366985,"corporation":false,"usgs":false,"family":"Graffin","given":"Marcan","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":956531,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vos, Kilian","contributorId":366986,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","affiliations":[{"id":87519,"text":"OHB Digital Services","active":true,"usgs":false}],"preferred":false,"id":956532,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, Jonathan C.","contributorId":118007,"corporation":false,"usgs":false,"family":"Allan","given":"Jonathan","email":"","middleInitial":"C.","affiliations":[{"id":7198,"text":"Oregon Department Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":956533,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kaminsky, George M.","contributorId":366988,"corporation":false,"usgs":false,"family":"Kaminsky","given":"George","middleInitial":"M.","affiliations":[{"id":25353,"text":"Washington State Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":956534,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruggiero, Peter","contributorId":366989,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956535,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273744,"text":"70273744 - 2026 - Performance evaluation and methods comparison of transcriptomic-based approaches for the characterization of wastewater treatment effluent","interactions":[],"lastModifiedDate":"2026-01-27T16:57:38.288647","indexId":"70273744","displayToPublicDate":"2026-01-08T10:47:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Performance evaluation and methods comparison of transcriptomic-based approaches for the characterization of wastewater treatment effluent","docAbstract":"Wastewater treatment effluents (WWTE) present complex risks to aquatic ecosystems that are difficult to characterize using traditional methods. This study systematically evaluated the consistency and performance of transcriptomic-based approaches over time with repeated sampling and with differing experimental approaches (selection of reference condition, grab vs. composite sampling, deployed vs. laboratory exposed). RNA-seq was performed on larval fathead minnow (FHM) exposed in the laboratory to moderately hard reconstituted water (MRHW) or individual grab samples collected from an upstream site and a WWTE in the morning and afternoon over two successive days, as well as FHM deployed concurrently with grab sampling at the same sites. Composite transcriptional profiles were generated by pooling count data from grab sample exposures. The choice of comparator significantly affected results. The use of the upstream site as the reference consistently yielded fewer differentially expressed genes (DEGs) and minimal overlap compared to DEG sets from the other comparisons. Using MRHW as a comparator, DEG sets showed high consistency across grab samples, with morning samples demonstrating larger, highly consistent gene expression sets (96 % overlap) compared to afternoon samples, revealing clear and consistent within-day expression patterns. With the MHRW comparator, DEG sets from grab sample composites and deployments also overlapped substantially, indicating that transcriptional profiles accurately reflect WWTE composition regardless of exposure method. Comparisons with non-targeted (NTA) and targeted analytical datasets confirmed that gene expression interpretations aligned with effluent composition while highlighting limitations of relying solely on targeted analyte sets for connecting expression to specific chemicals. Though highly dependent on experimental design, these results demonstrate that transcriptomic-based methods provide significant utility for characterizing the bioactivity of complex environmental mixtures, and when paired with NTA datasets, have the potential to deliver a comprehensive assessment of their environmental risk.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2025.127568","usgsCitation":"Biales, A., Hu, M.S., Bencic, D.C., See, M.J., Glassmeyer, S.T., Furlong, E., Stelman, J.M., Huang, W., Kolpin, D., Mills, M.A., Brunelle, L.D., Batt, A.L., and Purucker, S.T., 2026, Performance evaluation and methods comparison of transcriptomic-based approaches for the characterization of wastewater treatment effluent: Environmental Pollution, v. 392, 127568, 12 p., https://doi.org/10.1016/j.envpol.2025.127568.","productDescription":"127568, 12 p.","ipdsId":"IP-177758","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"392","noUsgsAuthors":false,"publicationDate":"2026-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Biales, Adam","contributorId":200074,"corporation":false,"usgs":false,"family":"Biales","given":"Adam","email":"","affiliations":[],"preferred":false,"id":954513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, M. S.","contributorId":365640,"corporation":false,"usgs":false,"family":"Hu","given":"M.","middleInitial":"S.","affiliations":[{"id":87172,"text":"USPEA","active":true,"usgs":false}],"preferred":false,"id":954514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bencic, D. C.","contributorId":365641,"corporation":false,"usgs":false,"family":"Bencic","given":"D.","middleInitial":"C.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":954515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"See, M. J.","contributorId":365642,"corporation":false,"usgs":false,"family":"See","given":"M.","middleInitial":"J.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":954516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glassmeyer, Susan T.","contributorId":184135,"corporation":false,"usgs":false,"family":"Glassmeyer","given":"Susan","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":954517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Furlong, E.T.","contributorId":365643,"corporation":false,"usgs":false,"family":"Furlong","given":"E.T.","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":954518,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stelman, Julia M.","contributorId":365648,"corporation":false,"usgs":false,"family":"Stelman","given":"Julia","middleInitial":"M.","affiliations":[],"preferred":false,"id":954537,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huang, W.","contributorId":365644,"corporation":false,"usgs":false,"family":"Huang","given":"W.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":954519,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954520,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mills, Marc A.","contributorId":228849,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","middleInitial":"A.","affiliations":[{"id":41517,"text":"U.S. Enviornmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":954521,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brunelle, L. D.","contributorId":365645,"corporation":false,"usgs":false,"family":"Brunelle","given":"L.","middleInitial":"D.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":954522,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Batt, Angela L.","contributorId":184134,"corporation":false,"usgs":false,"family":"Batt","given":"Angela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":954523,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Purucker, S. Thomas","contributorId":176291,"corporation":false,"usgs":false,"family":"Purucker","given":"S.","email":"","middleInitial":"Thomas","affiliations":[],"preferred":false,"id":954524,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70274286,"text":"70274286 - 2026 - Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping","interactions":[],"lastModifiedDate":"2026-03-24T14:18:48.133425","indexId":"70274286","displayToPublicDate":"2026-01-08T09:11:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping","docAbstract":"Climate change and land use change are crucial determinants of crop water consumption, particularly in drylands where water scarcity limits crop production. In Central Asia, the effects of land use and climate changes on crop water consumption remain unknown. We estimated the dynamics of crop water consumption by mapping annual actual evapotranspiration from Landsat imagery from 1987 to 2019 for all irrigated croplands in the Amu Darya Basin, the largest transboundary river in Central Asia. Total crop water consumption increased by 10%, while average consumption per unit area increased by 18%. Climate change was the main driver of the rising crop water consumption; land use changes towards less water-intensive cropping practices offset only 3% of this increase. Our findings underscore that crop production will become increasingly challenging amidst accelerating climatic changes and that changing cropping practices alone will be insufficient to curb the growing water scarcity without a global commitment to reducing emissions.
","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-03142-y","usgsCitation":"Peña-Guerrero, M.D., Senay, G., Umirbekov, A., Tarasova, L., Rufin, P., Pulatov, B., and Müller, D., 2026, Climate change has increased crop water consumption in Central Asia despite less water-intensive cropping: Communications Earth & Environment, v. 7, 122, 9 p., https://doi.org/10.1038/s43247-025-03142-y.","productDescription":"122, 9 p.","ipdsId":"IP-180332","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":501667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-03142-y","text":"Publisher Index Page"},{"id":501444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tajikistan, Turkmenistan, Uzbekistan","otherGeospatial":"Amu Darya basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 55.14649185414618,\n 42.425007460866794\n ],\n [\n 55.14649185414618,\n 37.25183592908982\n ],\n [\n 69.68848488936624,\n 37.25183592908982\n ],\n [\n 69.68848488936624,\n 42.425007460866794\n ],\n [\n 55.14649185414618,\n 42.425007460866794\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2026-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Peña-Guerrero, M. Daniela","contributorId":367745,"corporation":false,"usgs":false,"family":"Peña-Guerrero","given":"M.","middleInitial":"Daniela","affiliations":[{"id":87619,"text":"Department of Catchment Hydrology, Helmholtz Centre for Environmental Research-UFZ, Halle (Saale), Germany","active":true,"usgs":false}],"preferred":false,"id":957617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":957618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Umirbekov, A.","contributorId":367746,"corporation":false,"usgs":false,"family":"Umirbekov","given":"A.","affiliations":[{"id":87622,"text":"Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":957619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tarasova, L.","contributorId":367747,"corporation":false,"usgs":false,"family":"Tarasova","given":"L.","affiliations":[{"id":87623,"text":"Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University, Tashkent, Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":957620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rufin, P.","contributorId":367748,"corporation":false,"usgs":false,"family":"Rufin","given":"P.","affiliations":[{"id":87624,"text":"Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":957621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pulatov, B.","contributorId":367749,"corporation":false,"usgs":false,"family":"Pulatov","given":"B.","affiliations":[{"id":87625,"text":"Research Institute of Environment and Nature Conservation Technologies, Tashkent, Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":957622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Müller, D.","contributorId":367750,"corporation":false,"usgs":false,"family":"Müller","given":"D.","affiliations":[{"id":87622,"text":"Leibniz Institute of Agricultural Development in Transition Economies (IAMO), Halle (Saale), Germany Geography Department, Humboldt-Universität zu Berlin, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":957623,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273783,"text":"70273783 - 2026 - New measurements indicate that natural geologic methane emissions from microseepage in the Michigan Basin are likely negligible","interactions":[],"lastModifiedDate":"2026-01-29T16:14:30.851115","indexId":"70273783","displayToPublicDate":"2026-01-08T08:06:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"New measurements indicate that natural geologic methane emissions from microseepage in the Michigan Basin are likely negligible","docAbstract":"The magnitude of natural geologic methane (CH4) emissions to the atmosphere (including emissions of fossil CH4 from offshore and onshore gas and oil seeps, diffuse microseepage, mud volcanoes, volcanic vents, and geothermal areas) is highly uncertain. The largest component of geologic emissions is thought to be microseepage, which is the diffuse flux of CH4 from soils across large areas of productive hydrocarbon basins. The accuracy of existing bottom-up estimates of microseepage is limited by low spatial coverage of published microseepage measurements. We present the first soil—atmosphere CH4 flux measurements from Michigan Basin, USA. Results from 335 measurements taken during summer and winter seasons across a large portion of the basin suggest microseepage is nonexistent in the sampled region. Even areas with predictive features for microseepage (e.g., underlying mature, organically rich source rocks, proven gas accumulations, faults, and lineaments) yield null or negative fluxes, suggesting that CH4 emissions from microseepage are negligible throughout our study region. A Monte Carlo method was used to place an upper limit on the regional-mean microseepage flux, in which synthetic patchy microseepage distributions were generated and tested against our observations to assess the impact of possible emission hot spots that were missed by our sampling strategy. Our analysis finds it is very unlikely that regional-mean emissions are as high as assumed in a previous global microseepage study. The observed lack of seepage may be explained by groundwater flow, active methanotrophy, glacial sediments, and bedded salt deposits, which could inhibit vertical gas migration and release to atmosphere.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.2025.00058","usgsCitation":"Hall, K.R., Weber, T.S., Stock, M.P., Buursink, M., Piao, H., Zhu, M., Walter-Anthony, K.M., and Petrenko, V.V., 2026, New measurements indicate that natural geologic methane emissions from microseepage in the Michigan Basin are likely negligible: Elementa: Science of the Anthropocene, v. 14, no. 1, 00058, 17 p., https://doi.org/10.1525/elementa.2025.00058.","productDescription":"00058, 17 p.","ipdsId":"IP-170390","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":499297,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.2025.00058","text":"Publisher Index Page"},{"id":499228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron, Lake Michigan, Michigan Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.20025852293985,\n 46.54984228068227\n ],\n [\n -88.20025852293985,\n 42.865081723412004\n ],\n [\n -81.7815573772342,\n 42.865081723412004\n ],\n [\n -81.7815573772342,\n 46.54984228068227\n ],\n [\n -88.20025852293985,\n 46.54984228068227\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Kathleen R.","contributorId":365776,"corporation":false,"usgs":false,"family":"Hall","given":"Kathleen","middleInitial":"R.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":954773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weber, Thomas S.","contributorId":198207,"corporation":false,"usgs":false,"family":"Weber","given":"Thomas","middleInitial":"S.","affiliations":[{"id":18105,"text":"University of New Hampshire, Durham","active":true,"usgs":false}],"preferred":false,"id":954774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Marika P.","contributorId":365777,"corporation":false,"usgs":false,"family":"Stock","given":"Marika","middleInitial":"P.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":954775,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954776,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piao, Haoran","contributorId":365778,"corporation":false,"usgs":false,"family":"Piao","given":"Haoran","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":954777,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Mingzhe","contributorId":365779,"corporation":false,"usgs":false,"family":"Zhu","given":"Mingzhe","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":954778,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walter-Anthony, Katey M.","contributorId":365780,"corporation":false,"usgs":false,"family":"Walter-Anthony","given":"Katey","middleInitial":"M.","affiliations":[{"id":87218,"text":"University of Alaska Fairbanks, Fairbanks, AK 99775-5910","active":true,"usgs":false}],"preferred":false,"id":954779,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Petrenko, Vasilii V.","contributorId":365781,"corporation":false,"usgs":false,"family":"Petrenko","given":"Vasilii","middleInitial":"V.","affiliations":[{"id":87217,"text":"Department of Earth and Environmental Sciences, University of Rochester, Rochester, NY 14627","active":true,"usgs":false}],"preferred":false,"id":954780,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273426,"text":"70273426 - 2026 - The functional effects of African lions on co-occurring carnivores differ across species pairs and with changes in resource availability and lion abundance","interactions":[],"lastModifiedDate":"2026-01-13T14:44:11.436826","indexId":"70273426","displayToPublicDate":"2026-01-08T07:38:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"The functional effects of African lions on co-occurring carnivores differ across species pairs and with changes in resource availability and lion abundance","docAbstract":"Apex carnivores are known to regulate ecosystem structure and function, including via interactions with syntopic, competitively inferior carnivores. These effects may be dependent on relative carnivore density and resource availability or productivity. We investigated the functional effect of African lions as an apex carnivore on the presence of co-occurring large carnivore species across two adjoining National Parks that contrast in relative densities of carnivores and prey. We employed two-species occupancy models from track data to test statistical interactions between lions and the other syntopic large carnivore species, while accounting for each species’ habitat selection. We further investigated the influence of anthropogenic and natural variables on these co-occurrence dynamics. Our models revealed that the occurrence of each carnivore species was best predicted by access to their own key resources. We also found significant statistical interactions between lions and cheetahs, lions and leopards, and lions and spotted hyenas in resource-rich landscapes. Finally, we found limited support for the competition exclusion hypothesis between most species, with the exception of lion-African wild dog co-occurrence patterns. Species’ co-occurrence dynamics were all influenced by resource availability, with lion-leopard and lion-cheetah co-occurrence decreasing strongly with increasing resource availability. Most species co-occurrence declined with increasing occurrence of lions. The patterns revealed by this study improves predictions of how changes in resource availability and carnivore occurrence could impact carnivore community dynamics and the functional role of apex carnivores.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-025-05855-5","usgsCitation":"Everatt, K.T., Andresen, L., Moore, J.F., Hines, J.E., and Kerley, G.I., 2026, The functional effects of African lions on co-occurring carnivores differ across species pairs and with changes in resource availability and lion abundance: Oecologia, v. 208, 21, 14 p., https://doi.org/10.1007/s00442-025-05855-5.","productDescription":"21, 14 p.","ipdsId":"IP-157446","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00442-025-05855-5","text":"Publisher Index Page"},{"id":498578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mozambique, South Africa","otherGeospatial":"Kruger National Park, Limpopo National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 30.862588682154126,\n -22.34772780142852\n ],\n [\n 30.862588682154126,\n -25.384805740847384\n ],\n [\n 32.58582991133909,\n -25.384805740847384\n ],\n [\n 32.58582991133909,\n -22.34772780142852\n ],\n [\n 30.862588682154126,\n -22.34772780142852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2026-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Everatt, Kristoffer T.","contributorId":365066,"corporation":false,"usgs":false,"family":"Everatt","given":"Kristoffer","middleInitial":"T.","affiliations":[{"id":87033,"text":"Center for African Conservation Ecology, Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":953648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andresen, Leah","contributorId":365067,"corporation":false,"usgs":false,"family":"Andresen","given":"Leah","affiliations":[{"id":87033,"text":"Center for African Conservation Ecology, Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":953649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Jennifer F.","contributorId":365068,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","middleInitial":"F.","affiliations":[{"id":86505,"text":"Moore Ecological Analysis and Management","active":true,"usgs":false}],"preferred":false,"id":953650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":953651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kerley, Graham I.H.","contributorId":365069,"corporation":false,"usgs":false,"family":"Kerley","given":"Graham","middleInitial":"I.H.","affiliations":[{"id":87033,"text":"Center for African Conservation Ecology, Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":953652,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273675,"text":"70273675 - 2026 - 21st-century mangrove expansion along the southeastern United States","interactions":[],"lastModifiedDate":"2026-01-22T15:20:52.45908","indexId":"70273675","displayToPublicDate":"2026-01-07T09:15:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"21st-century mangrove expansion along the southeastern United States","docAbstract":"Warming winter temperatures are driving range expansion of tropical, cold-sensitive mangroves into temperate ecosystems. Along the Atlantic coast of North America, the mangrove range limit is particularly sensitive to climate variability and historical data demonstrate that the mangrove-salt marsh ecotone on this coast has shifted recurrently during recent centuries. However, a comprehensive understanding of how this mangrove-salt marsh ecotone may shift in the future remains lacking. Here, we combine ensemble forecasting of mangrove distribution for the next century with high-resolution oceanographic dispersal simulations, phenological observations, and historical hurricane data to project future mangrove-salt marsh dynamics at the rapidly changing range limit in northeastern Florida (USA). We show that warming winter temperatures will drive continued poleward expansion of mangroves along North America's Atlantic coast, potentially reaching South Carolina by 2100. With ongoing climate change, suitable mangrove habitat is projected to expand beyond the current range limit, and dispersal simulations suggest successful colonization of these sites from established mangrove populations. Additionally, patterns in hurricane directionality and intensity and field reports of propagule presence reveal that these high-energy events may significantly contribute to future mangrove range expansion by facilitating long-distance, storm-driven propagule dispersal. The encroachment of mangroves in salt marsh-dominated latitudes is expected to substantially modify wetland ecosystem function and structure, emphasizing how the identification of newly colonizable habitat can inform conservation strategies and site-specific decisions on mangrove management.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70676","usgsCitation":"Enes Gramoso, L.I., Carrol, D., Cavanaugh, K.C., Bardou, R., Osland, M., and Van der Stocken, T., 2026, 21st-century mangrove expansion along the southeastern United States: Global Change Biology, v. 32, no. 1, e70676, 13 p., https://doi.org/10.1111/gcb.70676.","productDescription":"e70676, 13 p.","ipdsId":"IP-181151","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":498935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70676","text":"Publisher Index Page"},{"id":498835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, North Carolina, South Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.22200639953145,\n 36.37952978542975\n ],\n [\n -77.72182101969094,\n 36.40470575265279\n ],\n [\n -81.91411568081017,\n 32.113748227893616\n ],\n [\n -81.74573448773677,\n 28.953603900196043\n ],\n [\n -80.85814647675448,\n 25.888305578021306\n ],\n [\n -83.46267982375748,\n 24.175772833973156\n ],\n [\n -79.91513400031955,\n 24.69759886854142\n ],\n [\n -79.81651773807448,\n 27.222321721452442\n ],\n [\n -81.06547026177786,\n 30.86676837523688\n ],\n [\n -76.06738341951453,\n 34.54040871806913\n ],\n [\n -75.22200639953145,\n 36.37952978542975\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Enes Gramoso, Lucia I.A.","contributorId":365421,"corporation":false,"usgs":false,"family":"Enes Gramoso","given":"Lucia","middleInitial":"I.A.","affiliations":[{"id":87134,"text":"Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium","active":true,"usgs":false}],"preferred":false,"id":954277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carrol, Dustin","contributorId":365422,"corporation":false,"usgs":false,"family":"Carrol","given":"Dustin","affiliations":[{"id":87135,"text":"San José State University, Moss Landing, CA 95039","active":true,"usgs":false}],"preferred":false,"id":954278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cavanaugh, Kyle C.","contributorId":365423,"corporation":false,"usgs":false,"family":"Cavanaugh","given":"Kyle","middleInitial":"C.","affiliations":[{"id":56148,"text":"University of California, Los Angeles, CA 90095","active":true,"usgs":false}],"preferred":false,"id":954279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bardou, Remi","contributorId":274822,"corporation":false,"usgs":false,"family":"Bardou","given":"Remi","affiliations":[{"id":56654,"text":"Northeastern University Marine Science Center, 430 Nahant Rd, Nahant, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":954280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":206443,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":954281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van der Stocken, Tom","contributorId":365424,"corporation":false,"usgs":false,"family":"Van der Stocken","given":"Tom","affiliations":[{"id":87134,"text":"Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium","active":true,"usgs":false}],"preferred":false,"id":954282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273498,"text":"70273498 - 2026 - Status assessment of peregrine falcons in North America using integrated population models","interactions":[],"lastModifiedDate":"2026-01-20T14:59:43.055314","indexId":"70273498","displayToPublicDate":"2026-01-07T07:52:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Status assessment of peregrine falcons in North America using integrated population models","docAbstract":"Species status assessments require an understanding of underlying population dynamics and important drivers of species demography. Large-scale assessments can be difficult due to challenges collating data obtained through different methods and different sources at multiple scales. Integrated population models (IPMs) provide a unified framework to combine multiple data sources and jointly estimate population parameters over a large spatiotemporal scale. We developed separate IPMs to estimate abundance and demographic rates for a northern (NMP) and southern (SMP) management population of peregrine falcons (Falco peregrinus) in North America from 2008 through 2019 (SMP) and 2020 (NMP). An outbreak of highly pathogenic avian influenza (HPAI) starting in 2021 led us to extend our modeling effort to assess its impact on these management populations by updating both IPMs using index data of population size through 2024 in a predictive framework. Survival probabilities differed drastically between first-year and after-first-year individuals in both management populations. After-first-year survival was nearly identical between the NMP and SMP, but first-year survival was lower in the SMP. Mean productivity was significantly lower in the NMP compared to the SMP, whereas the probability of breeding was similar in both management populations. Estimated total abundance for the NMP was substantially larger than the SMP, representing most of the North American peregrine population. Population growth was positive for both management populations, albeit at a slower rate for the NMP. The NMP declined from 2017 to 2018 coinciding with a drop in 2018 estimated productivity. When we extended the IPMs with updated count data through 2024, the NMP slightly declined but estimated abundance remained above levels at the start of the time series analyzed. The SMP grew at a similar rate to that predicted during the period informed by demographic data. We did not detect a continental-scale change in population size or trajectory in either management population associated with the arrival of HPAI in 2021. Further monitoring can support determination of whether the declines in the NMP were temporary, can enhance understanding of the underlying mechanisms, and can be used to guide the conservation and management of the peregrine falcon population in North America.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e04024","usgsCitation":"Gould, M.J., Swem, T., Zimmerman, G.S., Millsap, B.A., Gedir, J.V., and Abadi, F., 2026, Status assessment of peregrine falcons in North America using integrated population models: Global Ecology and Conservation, v. 65, e04024, 12 p., https://doi.org/10.1016/j.gecco.2025.e04024.","productDescription":"e04024, 12 p.","ipdsId":"IP-180300","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":498918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2025.e04024","text":"Publisher Index Page"},{"id":498771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -17.645512177727937,\n 74.08269629392527\n ],\n [\n 4.050887934414121,\n 84.76371880139833\n ],\n [\n -167.95111365975603,\n 80.1265394049586\n ],\n [\n -169.85914511777705,\n 64.47840403364626\n ],\n [\n -157.58234088200044,\n 51.521173449696605\n ],\n [\n -136.03883649130242,\n 48.901619472112586\n ],\n [\n -108.50429591511289,\n 19.862808733419378\n ],\n [\n -97.3445071848272,\n 13.771551176727286\n ],\n [\n -75.36673211463953,\n 26.504032983593405\n ],\n [\n -43.55025606980736,\n 58.05109732496808\n ],\n [\n -17.645512177727937,\n 74.08269629392527\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"65","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gould, Michael J. 0000-0002-9703-4690","orcid":"https://orcid.org/0000-0002-9703-4690","contributorId":316810,"corporation":false,"usgs":true,"family":"Gould","given":"Michael","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":954018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":954019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Guthrie S. 0000-0002-0965-2123","orcid":"https://orcid.org/0000-0002-0965-2123","contributorId":365268,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","middleInitial":"S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millsap, Brian A. 0000-0003-3969-249X","orcid":"https://orcid.org/0000-0003-3969-249X","contributorId":365269,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gedir, Jay V.","contributorId":365270,"corporation":false,"usgs":false,"family":"Gedir","given":"Jay","middleInitial":"V.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":954022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abadi, Fitsum","contributorId":337711,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":954023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272701,"text":"fs20253055 - 2026 - FluOil—A tool for estimating the transport and deposition of oil-particle aggregates in rivers","interactions":[],"lastModifiedDate":"2026-02-03T17:05:03.22053","indexId":"fs20253055","displayToPublicDate":"2026-01-07T07:29:50","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3055","displayTitle":"FluOil—A Tool for Estimating the Transport and Deposition of Oil-Particle Aggregates in Rivers","title":"FluOil—A tool for estimating the transport and deposition of oil-particle aggregates in rivers","docAbstract":"The FluOil tool was developed to help with planning and early response for oil spills in rivers where subsurface oil-sediment interactions result in the formation of oil-particle aggregates (OPA). The turbulence and variable velocity associated with water flowing within a natural stream channel creates the conditions needed for an oil slick to break up into small droplets and mix in the water column, collide with sediment or organic detritus, and form OPA. This process is similar to what occurs due to wave action along a shoreline. The FluOil tool estimates how fast OPA travel downstream in rivers as well as when and where they may deposit. The FluOil tool relies on pre-existing channel hydraulic data along with user-specified OPA characteristics of size, settling velocity and critical shear stress to compute OPA transport. It is important to know where OPA are transported and accumulated for understanding potential impacts on drinking water intakes, burial of sensitive habitat beds, potential toxicity to benthic organisms, and prolonged sheening from resuspension and breakup. OPA tend to accumulate with fine-grained (silt and clay) sediment deposits (“mud” or “muck”) in backwater areas, oxbows, side channels, pools, and other slow-moving reaches of rivers during low flows. Deposited OPA can be resuspended during high flows, driving continued environmental impact concerns that may extend beyond typical oil spill response timelines.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253055","collaboration":"Prepared in cooperation with the Inland Oil Spill Preparedness Program, U.S. Environmental Protection Agency, Lake Superior State University, and Natural Resources Canada","usgsCitation":"Fitzpatrick, F., Roland, C., Vaughan, A., Zhu, Z., Soong, D., and Sortor, R., 2026, FluOil—A tool for estimating the transport and deposition of oil-particle aggregates in rivers: U.S. Geological Survey Fact Sheet 2025–3055, 6 p., https://doi.org/10.3133/fs20253055.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-178930","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497094,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3055/fs20253055.pdf","text":"Report","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025–3055"},{"id":497093,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3055/coverthb.jpg"},{"id":497101,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99MJ6MD","text":"USGS data release","linkHelpText":"FluOil model and related datasets for Kalamazoo River, Michigan, oil spill—July 21 to October 31, 2010"},{"id":497100,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253055/full","text":"Report","description":"FS 2025–3055 HTML"},{"id":497099,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3055/images"},{"id":497098,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3055/fs20253055.XML","linkFileType":{"id":8,"text":"xml"}}],"contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
The FluOil tool helps oil spill planners and responders estimate how fast and far oiled sediment (called oil-particle aggregates [OPA]) can travel in rivers during an oil spill, and where it may settle out on the riverbed. The user interface makes it easy to run the tool for a range of river flow conditions and OPA characteristics.
","publicationDate":"2026-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roland, Collin 0000-0003-1004-0746","orcid":"https://orcid.org/0000-0003-1004-0746","contributorId":343660,"corporation":false,"usgs":true,"family":"Roland","given":"Collin","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaughan, Angus 0000-0001-9900-4658","orcid":"https://orcid.org/0000-0001-9900-4658","contributorId":302333,"corporation":false,"usgs":true,"family":"Vaughan","given":"Angus","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":951368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhenduo","contributorId":340263,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhenduo","affiliations":[{"id":81528,"text":"Tsinghua University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":951369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soong, David 0000-0003-0404-2163","orcid":"https://orcid.org/0000-0003-0404-2163","contributorId":206523,"corporation":false,"usgs":true,"family":"Soong","given":"David","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sortor, Rachel 0000-0002-8778-4383","orcid":"https://orcid.org/0000-0002-8778-4383","contributorId":298591,"corporation":false,"usgs":true,"family":"Sortor","given":"Rachel","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951371,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273363,"text":"70273363 - 2026 - Assessing future hydrologic extremes using an integrated hydrology and river operations model in the Russian River watershed","interactions":[],"lastModifiedDate":"2026-01-09T17:31:50.365144","indexId":"70273363","displayToPublicDate":"2026-01-06T11:26:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Assessing future hydrologic extremes using an integrated hydrology and river operations model in the Russian River watershed","docAbstract":"Earthquake catalogs are essential data inputs for seismic hazard modeling. Because earthquake magnitudes are reported in a variety of types (e.g., local magnitudes and moment magnitudes), magnitude conversion relationships must be used to convert the different magnitude types present in a catalog to a uniform magnitude type to avoid biases in the hazard computation. However, these conversion relationships are often uncertain and have been shown to sometimes perform poorly. Here, we investigate the sensitivity of the gridded seismicity component of the National Seismic Hazard Model (NSHM) to the catalog conversion equations in the Eastern United States. In the 2023 NSHM, magnitudes of various types were converted to moment magnitudes using equations developed by the Central and Eastern United States Seismic Source Characterization for Nuclear Facilities (CEUS‐SSCn), based on least‐squares (LS) regressions made using data from a catalog containing events up through 2008. We recompute these equations using events in the Advanced National Seismic System Comprehensive Earthquake Catalog with multiple magnitudes from 2000 to 2023. Although we prefer the use of orthogonal regressions for our datasets, LS regressions produce broadly similar results, with both approaches exhibiting large deviations from the CEUS‐SSCn conversions, especially at smaller magnitudes. We compare the spatial distribution of annual rates using three different models: (1) the 2023 NSHM conversions, (2) our updated conversions, and (3) no conversions. We find that the choice of conversions leads to substantial differences in the rate forecasts, which can greatly impact the seismic hazard model, particularly in regions with low‐seismicity rates such as the Eastern United States, where the hazard is dominated by gridded seismicity rather than a fault model.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250231","usgsCitation":"Llenos, A.L., Shelly, D.R., and Shumway, A., 2026, Magnitude conversion relations create substantial differences in seismic hazard models: Seismological Research Letters, https://doi.org/10.1785/0220250231.","ipdsId":"IP-179044","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500652,"rank":3,"type":{"id":12,"text":"Errata"},"url":"https://doi.org/10.1785/0220260025","linkFileType":{"id":5,"text":"html"}},{"id":498508,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498688,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250231","text":"Publisher Index Page"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100,\n 50\n ],\n [\n -100,\n 25\n ],\n [\n -65,\n 25\n ],\n [\n -65,\n 50\n ],\n [\n -100,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":953425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953427,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273983,"text":"70273983 - 2026 - Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed","interactions":[],"lastModifiedDate":"2026-02-23T16:39:57.697198","indexId":"70273983","displayToPublicDate":"2026-01-06T09:32:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed","docAbstract":"Fluvial export of dissolved carbon plays an important role in watershed-scale biogeochemistry. Predicted changes in climate are expected to impact watershed hydrologic regimes, and in turn, the sources and export of dissolved carbon from watersheds. Here, we utilize high resolution measurements of discharge and dissolved carbon concentration to examine how concentration-discharge (CQ) relationships vary seasonally and during high flow events over the main runoff season (May–October) in a temperate forested watershed in Southeast Alaska. Concentration-discharge relationships for dissolved organic carbon (DOC) and alkalinity demonstrated strong seasonal patterns, with more linear relationships in May and June versus other months. Changing power law model slopes (b values; the exponent in a power law regression between runoff and carbon yields) indicated potentially shifting watershed sources (biogenic vs. geologic) and contrasting dominant flowpaths (shallow vs. deeper groundwater) for DOC and alkalinity over the sampling period. During the largest storm event of the study, DOC and alkalinity b values shifted from an overall pattern of transport (mean b = 1.58 values >1.0 indicate transport limitation) and source limitation (mean b = 0.48, values <1.0 indicate source limitation) to chemostatic (DOC, b = 0.99; alkalinity, b = 1.019). In June through August, patterns in hysteresis index suggest that CQ relationships were altered when storms followed in close succession to each other. Together, these findings indicate that seasonal and antecedent flow conditions play a role in dissolved carbon export from forested watersheds. Understanding these dynamics, particularly during winter months, will become increasingly important as changes to hydroclimate impact riverine carbon export.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG009090","usgsCitation":"Delbecq, C., Fellman, J.B., Bellmore, J.R., Whitney, E.J., Fitzgerald, K., Falke, J.A., 2026, Season and antecedent conditions impact concentration-discharge relationships for dissolved organic carbon and alkalinity in southeast Alaskan watershed: JGR Biogeosciences, v. 131, no. 1, e2025JG009090, 15 p., https://doi.org/10.1029/2025JG009090.","productDescription":"e2025JG009090, 15 p.","ipdsId":"IP-174690","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jg009090","text":"Publisher Index Page"},{"id":500420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Montana Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -136.63915248759182,\n 59.21990475595436\n ],\n [\n -136.63915248759182,\n 57.522914720234525\n ],\n [\n -134.63466688093874,\n 57.522914720234525\n ],\n [\n -134.63466688093874,\n 59.21990475595436\n ],\n [\n -136.63915248759182,\n 59.21990475595436\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"131","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Delbecq, Claire","contributorId":337162,"corporation":false,"usgs":false,"family":"Delbecq","given":"Claire","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fellman, Jason B.","contributorId":366494,"corporation":false,"usgs":false,"family":"Fellman","given":"Jason","middleInitial":"B.","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":955991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":366495,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","middleInitial":"Ryan","affiliations":[{"id":27863,"text":"U. S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":955992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitney, Emily J.","contributorId":366496,"corporation":false,"usgs":false,"family":"Whitney","given":"Emily","middleInitial":"J.","affiliations":[{"id":16298,"text":"University of Alaska Southeast","active":true,"usgs":false}],"preferred":false,"id":955993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Kevin","contributorId":332288,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Kevin","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":955994,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955995,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273838,"text":"70273838 - 2026 - Toxicity of 6PPD alternatives to salmonid cell lines","interactions":[],"lastModifiedDate":"2026-02-05T15:38:34.453429","indexId":"70273838","displayToPublicDate":"2026-01-06T09:24:15","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Toxicity of 6PPD alternatives to salmonid cell lines","docAbstract":"Stormwater runoff in urban areas introduces numerous anthropogenic chemicals into surrounding aquatic environments. One such chemical is 6PPD (N-(1,3-Dimethylbutyl)-N’-phenyl-p-phenylenediamine), the primary antidegradant responsible for protecting tire rubber from ozone-induced degradation and cracking. When exposed to ozone on the road surface 6PPD is transformed into the toxic transformation product 6PPD-quinone (6PPDQ). This compound is highly lethal to coho salmon ( Oncorhynchus kisutch), and 24 hour 50% lethal concentrations (LC50; 41-95 ng/L) are frequently detected in urban streams during stormwater runoff events1-5. The highest stream concentrations of 6PPDQ and most extensive coho salmon mortality occur in high-traffic urban areas, where tire wear particles accumulate due to the frequent braking and acceleration of cars6. In the Seattle area, some coho salmon-bearing streams can lose over 90% of returning females prior to spawning due to 6PPDQ-containing runoff7. Prespawn loss of this magnitude could result in the extinction of some urban spawning populations8. Importantly, the lethal effects of 6PPDQ have been observed in several other salmonid species, indicating that its impact may threaten fish health for urban aquatic environments globally9-11.
The ubiquity of 6PPD in automobile tires, high toxicity of the transformation product 6PPDQ, and prevalence of 6PPD and 6PPDQ in environmental matrices has spurred investigations into alternative rubber antiozonants to replace 6PPD that retain tire performance while reducing ecological harm. A technical memorandum provided to the legislature by the Washington State Department of Ecology summarized a list of potential 6PPD alternatives requiring further study, including several structurally similar p-phenylenediamines (PPDs)12. However, the structural similarity of other PPDs to 6PPD and their known production of quinone transformation products13 raises concerns that they may elicit similar toxic effects as 6PPDQ. Currently, investigations into the toxicity of proposed PPD alternatives or their ozonated transformation products in coho salmon are limited, representing a significant data gap in evaluating whether they offer improved environmental safety over 6PPD.
This project investigated the toxicity of proposed alternative rubber antiozonants in vitro using immortalized cell lines derived from three salmonid species with known differences in sensitivity to 6PPDQ (coho salmon, Chinook salmon (O. tshawytscha), rainbow trout (O. mykiss))1. These immortalized cell lines replicate toxic responses observed in in vivo studies, while enabling higher-throughput testing and reducing the need for animal use and other resource-intensive procedures. The antiozonants and their transformation products selected for testing were chosen based on multiple criteria, including their inclusion in the Ecology technical memorandum, structural substitutions (e.g., branched/cyclic alkyl vs aryl substitutions), commercial availability, and input from the Washington State Department of Ecology and other industry experts.
","language":"English","publisher":"Washington Department of Ecology","usgsCitation":"Greer, J.B., Dalsky, E.M., Bachand, P.T., and Hansen, J.D., 2026, Toxicity of 6PPD alternatives to salmonid cell lines, 13 p.","productDescription":"13 p.","ipdsId":"IP-183177","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499582,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.ezview.wa.gov/site/alias__1962/37732/research_and_proposed_alternatives_to_6ppd.aspx"}],"noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"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":955178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachand, Paxton Turner 0009-0002-4196-9005","orcid":"https://orcid.org/0009-0002-4196-9005","contributorId":366032,"corporation":false,"usgs":true,"family":"Bachand","given":"Paxton","middleInitial":"Turner","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":955180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":955181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274052,"text":"70274052 - 2026 - Integrating climate data and river modeling to reveal Chinook salmon habitat conditions in subarctic river basins","interactions":[],"lastModifiedDate":"2026-02-23T15:27:36.372921","indexId":"70274052","displayToPublicDate":"2026-01-06T08:21:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrating climate data and river modeling to reveal Chinook salmon habitat conditions in subarctic river basins","docAbstract":"Climatic extremes can impact the productivity of aquatic species, affecting ecosystems and fishery-dependent communities. Advances in climate products, such as gridded datasets and downscaled projections, may be useful for quantifying freshwater habitat conditions and predicting climate change effects on fish. However, limited guidance exists for selecting climate products to develop indicators of freshwater habitat conditions that influence fish population dynamics. Here, we develop an approach for identifying streamflow and stream temperature models to address this need. We evaluated skill in predicted versus observed streamflow and stream temperature, with predictions depending on different models and gridded climate data as inputs. The best performing models were used in a case study exploring habitat conditions influencing Chinook salmon in the Yukon and Kuskokwim River basins, two remote high-latitude watersheds with few in situ habitat observations and recent salmon declines. Three modeled streamflow datasets had variable performance (median Nash–Sutcliffe efficiencies from 0.39 to 0.70). Three gridded temperature products differed in their ability to explain variation in weekly stream temperatures (median r2 from 0.42 to 0.76). We selected a single gridded air temperature dataset to compare two novel predictive stream temperature models, both of which had good accuracy (root mean squared error [RMSE] of 1.19 and 0.95°C). Stream temperature indicators calculated from modeled daily data, maximum temperatures during adult migration and cumulative temperatures during juvenile rearing, had high spatial correlation across tributaries within the Yukon and Kuskokwim River basins and showed significant warming over the past 40 years. Streamflow indicators calculated from modeled daily data, maximum flow during spawning and median flow during rearing, had few trends and were largely uncorrelated within the Yukon River basin and moderately correlated within the Kuskokwim River basin. Overall, we found that generic measures of model performance varied considerably, and it was important to consider the models best suited to our case study. For both streamflow and stream temperature, multiple high-performing models allowed estimation of ecologically relevant conditions affecting Chinook salmon. The approach we used to estimate local-scale habitat conditions has value to identify synchronous conditions that may influence multiple salmon populations under a changing subarctic climate.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70399","usgsCitation":"Shaftel, R., Feddern, M.L., McAfee, S.A., Schoen, E.R., Cunningham, C., von Biela, V.R., Paul, J., Cheng, Y., Newman, A., Perdue, M., Schwenk, J., von Finster, A., Falke, J.A., 2026, Integrating climate data and river modeling to reveal Chinook salmon habitat conditions in subarctic river basins: Ecosphere, v. 17, no. 1, e70399, 25 p., https://doi.org/10.1002/ecs2.70399.","productDescription":"e70399, 25 p.","ipdsId":"IP-170801","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70399","text":"Publisher Index Page"},{"id":500403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kuskokwim River basin, Yukon River 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and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","indexId":"70271720","publicationYear":"2025","noYear":false,"title":"Machine learning generated streamflow drought forecasts for the Conterminous United States (CONUS): Developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations"},"predicate":"SUPERSEDED_BY","object":{"id":70273497,"text":"70273497 - 2026 - Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","indexId":"70273497","publicationYear":"2026","noYear":false,"title":"Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations"},"id":1}],"lastModifiedDate":"2026-01-20T15:17:42.806547","indexId":"70273497","displayToPublicDate":"2026-01-06T08:09:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations","docAbstract":"Forecasts of streamflow drought, when streamflow declines below typical levels, are notably less available than for floods or meteorological drought, despite widespread impacts. We apply machine learning (ML) models to forecast streamflow drought 1–13 weeks ahead at 3,219 streamgages across the conterminous United States. We applied two ML methods (Long short-term memory neural networks; Light Gradient-Boosting Machine) and two benchmark models (persistence; Autoregressive Integrated Moving Average) to predict weekly streamflow percentiles with independent models for each forecast horizon. ML models outperformed benchmarks in predicting continuous streamflow percentiles below 30%. ML models generally performed worse than persistence models for discrete classification (moderate, severe, extreme) but exceeded the benchmark models for drought onset/termination. Performance was better for less intense droughts and shorter horizons, with predictive power for 1–4 weeks for severe droughts (10% threshold). This work highlights challenges and opportunities to advance hydrological drought forecasting and supports a new experimental forecasting tool.
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0000-0001-8608-4927","orcid":"https://orcid.org/0000-0001-8608-4927","contributorId":302944,"corporation":false,"usgs":true,"family":"Heldmyer","given":"Aaron","email":"","middleInitial":"Joseph","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":954007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McShane, Ryan R. 0000-0002-3128-0039","orcid":"https://orcid.org/0000-0002-3128-0039","contributorId":219009,"corporation":false,"usgs":true,"family":"McShane","given":"Ryan R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954008,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ross, Jesse Cleveland 0000-0002-5422-8284","orcid":"https://orcid.org/0000-0002-5422-8284","contributorId":304193,"corporation":false,"usgs":true,"family":"Ross","given":"Jesse","email":"","middleInitial":"Cleveland","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":954009,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":954010,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simeone, Caelan 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0000-0002-1460-6084","orcid":"https://orcid.org/0000-0002-1460-6084","contributorId":299035,"corporation":false,"usgs":true,"family":"Staub","given":"Leah","email":"","middleInitial":"Ellen","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954013,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Watkins, David 0000-0002-7544-0700","orcid":"https://orcid.org/0000-0002-7544-0700","contributorId":317375,"corporation":false,"usgs":true,"family":"Watkins","given":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":954014,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wieczorek, Michael 0000-0003-0999-5457","orcid":"https://orcid.org/0000-0003-0999-5457","contributorId":207911,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":954015,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wnuk, Kendall C. 0000-0001-7499-5256","orcid":"https://orcid.org/0000-0001-7499-5256","contributorId":305486,"corporation":false,"usgs":true,"family":"Wnuk","given":"Kendall C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954016,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":954017,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70273459,"text":"70273459 - 2026 - Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA","interactions":[],"lastModifiedDate":"2026-04-06T15:43:42.592143","indexId":"70273459","displayToPublicDate":"2026-01-06T08:06:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA","docAbstract":"New geochemical, U-Pb geochronology, and Sr-Nd-Hf isotope data provide evidence for the tectonic evolution of the Seventymile terrane in interior Alaska, USA. Ultramafic and mafic rocks of the Seventymile terrane are thought to represent components of a dismembered ophiolite and provide unique constraints on regional terrane evolution and accretion. The Seventymile ophiolite represents fragments of the Devonian to Permian Slide Mountain Ocean (SMO) that separated allochthonous and parautochthonous continental fragments of western North America. It now occurs as multiple thrust sheets containing Permian mafic and ultramafic rocks overlying and/or possibly imbricated with amphibolite-facies supracrustal rocks of allochthonous Yukon-Tanana terrane and parautochthonous North America. Seventymile klippen contain variably serpentinized peridotite, primarily harzburgite, low-grade meta-mafic rocks, and minor oceanic sedimentary rocks (argillite, chert, limestone, and metasandstone). Mafic rocks include gabbro to diabase, typically as dikes, veinlets, or rare massive stocks intruding peridotite. Mafic rocks also include greenstones of the Seventymile assemblage in klippen structurally underlying, and in shear zone contact with, ultramafic klippen.
New trace element and radiogenic isotope data from mafic magmatic rocks associated with the Seventymile ultramafic bodies show evidence for a weakly subduction-modified mantle source, like the mantle source of normal mid-ocean-ridge basalt (N-MORB) or back-arc basin basalt (BABB). Seventymile assemblage greenstones are more heterogeneous. They range from N-MORB to enriched mid-ocean-ridge basalt (E-MORB) and ocean-island basalt (OIB), with a subset of samples indicative of continental arc affinity. These geochemistry results indicate that distinct tectonic environments are represented by at least two, and possibly three, lithological and structural units comprising the Seventymile terrane. Hf-Nd isotope systematics are consistent with a depleted MORB mantle (DMM)−like component that overlaps with Pacific MORB. Primary zircon is rare, but new in situ U-Pb data for gabbro and greenstone indicate ca. 274−272 Ma peak zircon and titanite crystallization. Scattered younger zircons define a ca. 255 Ma zircon peak and correspond to secondary crystallization associated with baddeleyite reaction of high-Si fluids during low-grade metamorphism. If Seventymile suites are contemporaneous, obduction associated with the closure of the SMO resulted in the stacking of ophiolitic packages representing distinct tectonomagmatic settings across the transition from pericontinental, to epicontinental, to distal ocean back-arc. Intrusions hosted in klippe of ultramafic rocks, plus the least subduction-modified greenstones underlying them, geologically and compositionally resemble Slide Mountain rocks of the Campbell Range formation in eastern Yukon and may provide a new piercing point across the Tintina fault.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/GES02837.1","usgsCitation":"Todd, E., Caine, J., Bizimis, M., Kylander-Clark, A.R., Hammond, R.R., and Wypych, A., 2026, Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA: Geosphere, v. 22, no. 2, p. 296-339, https://doi.org/10.1130/GES02837.1.","productDescription":"44 p.","startPage":"296","endPage":"339","ipdsId":"IP-170876","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498608,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498699,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02837.1","text":"Publisher Index Page"}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.54814578278632,\n 64.49262655255515\n ],\n [\n -151.54814578278632,\n 59.59805672240421\n ],\n [\n -133.60437046462778,\n 59.59805672240421\n ],\n [\n -133.60437046462778,\n 64.49262655255515\n ],\n [\n -151.54814578278632,\n 64.49262655255515\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":953783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bizimis, Michael","contributorId":192879,"corporation":false,"usgs":false,"family":"Bizimis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":953784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kylander-Clark, Andrew R.C. 0000-0002-4034-644X","orcid":"https://orcid.org/0000-0002-4034-644X","contributorId":302380,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","middleInitial":"R.C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":953785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, Robert Reece","contributorId":365154,"corporation":false,"usgs":false,"family":"Hammond","given":"Robert","middleInitial":"Reece","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":953786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wypych, Alicja","contributorId":216040,"corporation":false,"usgs":false,"family":"Wypych","given":"Alicja","email":"","affiliations":[{"id":39354,"text":"State of Alaska Department of Natural Resources DGGS Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953787,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273957,"text":"70273957 - 2026 - Selenium and mercury tissue partitioning and trophodynamics in the Lake Koocanusa (USA–Canada) fish community","interactions":[],"lastModifiedDate":"2026-02-19T15:44:10.021326","indexId":"70273957","displayToPublicDate":"2026-01-05T09:35:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Selenium and mercury tissue partitioning and trophodynamics in the Lake Koocanusa (USA–Canada) fish community","docAbstract":"Mining-related contaminants such as selenium (Se) and mercury (Hg) accumulate in aquatic organisms and transfer through aquatic food webs, where they can exert toxic effect undermining the ecological health of aquatic resources. Yet, how Se and Hg co-distribute within food webs and within individual organisms remains poorly understood. We compiled muscle and ovary Se and Hg concentration data from fishes captured in Lake Koocanusa—a North American reservoir receiving elevated Se and Hg inputs from coal mining operations in the Elk River Valley, Canada—to provide insights into the co-processing of Se and Hg within fish and among fish species, including how ecological or seasonal factors shift these distribution patterns. Se and Hg concentrations (ranges: 0.21–38.7 μg Se g−1 dry weight and 0.01–0.84 μg Hg g−1 wet weight), as well as Se:Hg molar ratios, varied substantially between tissues and among species, reflecting biological and ecological differences. Our results suggest that the decoupling of Se or Hg deposition in fish muscle versus ovary may reflect different pathways of impairment, at the individual and population levels, and that interspecific and tissue-specific variability makes it challenging to set a universal Se:Hg threshold for the protection of aquatic organisms.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2025.127623","usgsCitation":"Moldert, N., Dunnigan, J., Schmidt, T.S., Selch, T., Balmer, B., Moloney, M., and Brandt, J.E., 2026, Selenium and mercury tissue partitioning and trophodynamics in the Lake Koocanusa (USA–Canada) fish community: Environmental Pollution, v. 392, 127623, 12 p., https://doi.org/10.1016/j.envpol.2025.127623.","productDescription":"127623, 12 p.","ipdsId":"IP-172382","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":501075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2025.127623","text":"Publisher Index Page"},{"id":500190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Montana","otherGeospatial":"Lake Koocanusa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.87342380887041,\n 49.64868164734935\n ],\n [\n -115.6937097958162,\n 49.64868164734935\n ],\n [\n -115.6937097958162,\n 48.26757981395437\n ],\n [\n -114.87342380887041,\n 48.26757981395437\n ],\n [\n -114.87342380887041,\n 49.64868164734935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"392","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Moldert, Noelie","contributorId":366444,"corporation":false,"usgs":false,"family":"Moldert","given":"Noelie","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":955917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunnigan, James L.","contributorId":336550,"corporation":false,"usgs":false,"family":"Dunnigan","given":"James L.","affiliations":[{"id":40948,"text":"Montana Fish Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":955918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":221742,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis","email":"tschmidt@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":955919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selch, Trevor M.","contributorId":270540,"corporation":false,"usgs":false,"family":"Selch","given":"Trevor M.","affiliations":[{"id":37431,"text":"Montana Fish, Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":955920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balmer, Brian","contributorId":366450,"corporation":false,"usgs":false,"family":"Balmer","given":"Brian","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":955921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moloney, Molly A. 0000-0001-8241-8467","orcid":"https://orcid.org/0000-0001-8241-8467","contributorId":329672,"corporation":false,"usgs":true,"family":"Moloney","given":"Molly A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":955922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brandt, Jessica E.","contributorId":329987,"corporation":false,"usgs":false,"family":"Brandt","given":"Jessica","email":"","middleInitial":"E.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":955923,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273762,"text":"70273762 - 2026 - Roadway runoff induced acute mortality in juvenile coho salmon during spring storm events","interactions":[],"lastModifiedDate":"2026-01-28T16:25:18.408468","indexId":"70273762","displayToPublicDate":"2026-01-05T09:17:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Roadway runoff induced acute mortality in juvenile coho salmon during spring storm events","docAbstract":"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":70274253,"text":"70274253 - 2026 - Physiological impacts of sublethal Cyathocotyle bushiensis and Sphaeridiotrema pseudoglobulus infections in captive Lesser Scaup (Aythya affinis)","interactions":[],"lastModifiedDate":"2026-03-23T14:27:34.650749","indexId":"70274253","displayToPublicDate":"2026-01-05T09:11:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3784,"text":"Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Physiological impacts of sublethal Cyathocotyle bushiensis and Sphaeridiotrema pseudoglobulus infections in captive Lesser Scaup (Aythya affinis)","title":"Physiological impacts of sublethal Cyathocotyle bushiensis and Sphaeridiotrema pseudoglobulus infections in captive Lesser Scaup (Aythya affinis)","docAbstract":"Thousands of Lesser Scaup (Aythya affinis) die annually in the Upper Mississippi River System, USA, from intestinal infections after birds consume exotic faucet snails, Bithynia tentaculata, infected with introduced parasites, Cyathocotyle bushiensis and Sphaeridiotrema pseudoglobulus. To date, the low frequency (biannual) and magnitude of mortality events from intestinal infections likely prevents trematode mortalities from being a major contributor to Lesser Scaup population declines. However, questions remain regarding the role sublethal infections may have on Lesser Scaup fitness along with the potential for carryover effects in the following breeding season. We examined the impact of a single sublethal C. bushiensis and S. pseudoglobulus infection on select physiological parameters in Lesser Scaup over a 10-day period post inoculation through three trials, each involving three experimental groups: baseline control, trial control, and treatment (n = 96 scaup). We found that male Lesser Scaup that were in better body condition before the trial had fewer C. bushiensis and Sphaeridiotrema pseudoglobulus recovered from their intestines at necropsy. Individuals with the highest numbers of C. bushiensis and S. pseudoglobulus in their intestines lost the largest amounts of body mass during the trial. We found that blood urea nitrogen and triglycerides were lower when C. bushiensis and S. pseudoglobulus were present. Triglycerides and glucose declined from Day 0 to Day 5 but stabilized on Day 10 of the trial. Our results highlight changes in physiological metrics in Lesser Scaup from a sublethal infection with C. bushiensis and S. pseudoglobulus under experimental conditions. Changes in Lesser Scaup health parameters indicated that scaup surviving a single sublethal trematode infection may have reduced body condition, which could lead to negative health implications in the following breeding season.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15594491.2025.2597098","usgsCitation":"Beach, C., Fournier, A., Lancaster, J.D., Osborne, D.C., Cole, R.A., Hagy, H.M., and Jacques, C., 2026, Physiological impacts of sublethal Cyathocotyle bushiensis and Sphaeridiotrema pseudoglobulus infections in captive Lesser Scaup (Aythya affinis): Wilson Journal of Ornithology, https://doi.org/10.1080/15594491.2025.2597098.","ipdsId":"IP-181469","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Beach, C.R","contributorId":336886,"corporation":false,"usgs":false,"family":"Beach","given":"C.R","email":"","affiliations":[{"id":80893,"text":"Department of Biological Sciences, Western Illinois University,","active":true,"usgs":false}],"preferred":false,"id":957193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fournier, Auriel 0000-0002-8530-9968","orcid":"https://orcid.org/0000-0002-8530-9968","contributorId":261669,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":957194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lancaster, Joseph D.","contributorId":360899,"corporation":false,"usgs":false,"family":"Lancaster","given":"Joseph","middleInitial":"D.","affiliations":[{"id":13723,"text":"Gulf Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":957195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborne, Douglas C.","contributorId":219861,"corporation":false,"usgs":false,"family":"Osborne","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":957196,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":957197,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hagy, Heath M.","contributorId":172326,"corporation":false,"usgs":false,"family":"Hagy","given":"Heath","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":957198,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jacques, Christopher N.","contributorId":348104,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":957199,"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":70273442,"text":"70273442 - 2026 - Is satellite-derived bathymetry vertical accuracy dependent on satellite mission and processing method?","interactions":[],"lastModifiedDate":"2026-01-14T15:23:53.929478","indexId":"70273442","displayToPublicDate":"2026-01-05T08:18:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Is satellite-derived bathymetry vertical accuracy dependent on satellite mission and processing method?","docAbstract":"This research focusses on three satellite-derived bathymetry methods and optical satellite instruments: (1) a stereo photogrammetry bathymetry module (SaTSeaD) developed for the NASA Ames stereo pipeline open-source software (version 3.6.0) using stereo WorldView data; (2) physics-based radiative transfer equations (PBSDB) using Landsat data; and (3) a modified composite band-ratio method for Sentinel-2 (SatBathy) with an initial simplified calibration, followed by a more rigorous linear regression against in situ bathymetry data. All methods were tested in three different areas with different geological and environmental conditions, Cabo Rojo, Puerto Rico; Key West, Florida; and Cocos Lagoon and Achang Flat Reef Preserve, Guam. It is demonstrated that all satellite derived bathymetry (SDB) methods have increased accuracy when the results are aligned with higher-accuracy ICESat-2 ATL24 track bathymetry data using the iterative closest point (ICP). SDB vertical accuracy depends more on location characteristics than the method or optical satellite instrument used. All error metrics considered (mean absolute error, median absolute deviation, and root mean square error) can be less than 5% of the maximum bathymetry depth penetration for at least one method, although not necessarily for the same method for all sites. The SDB error distribution tends to be bimodal irrespective of method, satellite instrument, alignment, site, or maximum bathymetry depth, leading to the potential ineffectiveness of traditional error metrics, such as the root mean square error. However, our analysis demonstrates that performing detrending where possible can achieve an error distribution as close to normality as possible for which error metrics are more diagnostic.
","language":"English","publisher":"MDPI","doi":"10.3390/rs18020195","usgsCitation":"Palaseanu-Lovejoy, M., Danielson, J.J., Kim, M., Eder, B., Imahori, G., and Storlazzi, C.D., 2026, Is satellite-derived bathymetry vertical accuracy dependent on satellite mission and processing method?: Remote Sensing, v. 18, no. 2, 195, 30 p., https://doi.org/10.3390/rs18020195.","productDescription":"195, 30 p.","ipdsId":"IP-183102","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18020195","text":"Publisher Index Page"},{"id":498609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Guam, Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.29886149831057,\n 31.035877030602435\n ],\n [\n -88.29886149831057,\n 24.818271329127427\n ],\n [\n -79.18887863828726,\n 24.818271329127427\n ],\n [\n -79.18887863828726,\n 31.035877030602435\n ],\n [\n -88.29886149831057,\n 31.035877030602435\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.91979115320188,\n 18.80997482085145\n ],\n [\n -67.91979115320188,\n 17.365111187758373\n ],\n [\n -64.61443502140921,\n 17.365111187758373\n ],\n [\n -64.61443502140921,\n 18.80997482085145\n ],\n [\n -67.91979115320188,\n 18.80997482085145\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.5400287592969,\n 13.788590651628851\n ],\n [\n 144.5400287592969,\n 13.156374228238235\n ],\n [\n 145.08326832494907,\n 13.156374228238235\n ],\n [\n 145.08326832494907,\n 13.788590651628851\n ],\n [\n 144.5400287592969,\n 13.788590651628851\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":305576,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","affiliations":[],"preferred":true,"id":953719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":953720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Minsu 0000-0003-4472-0926","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":297371,"corporation":false,"usgs":false,"family":"Kim","given":"Minsu","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":953721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eder, Bryan","contributorId":365118,"corporation":false,"usgs":false,"family":"Eder","given":"Bryan","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Imahori, Gretchen","contributorId":365119,"corporation":false,"usgs":false,"family":"Imahori","given":"Gretchen","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":953723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953724,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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}]}} ]}