Biosurveillance is especially important for invasive species that are difficult to control or remove once established. Target analysis, or the strategic evaluation of factors that affect or improve detection of organisms, is one approach to improve biosurveillance over time. Due to their ecologically and economically devastating effects, brown treesnakes (Boiga irregularis), an invasive snake in the United States territory of Guam, have a dedicated biosecurity program to prevent their spread. Guam has been occupied by brown treesnakes since the 1940s, and they are distributed throughout the island. The neighboring Saipan Island, otherwise known as Saipan, participates in biosecurity programs designed to prevent their establishment. We evaluated biosurveillance protocols within rapid response and detection exercises for brown treesnakes. Our goal was to identify, account for, and reduce potential error when inferring absence from lack of detection using data collected in Guam and Saipan. We evaluated 1) whether brown treesnake detection probability was density dependent; 2) whether using terrestrial environmental DNA (eDNA) sampling detected snakes in occupied areas; 3) the likelihood brown treesnakes would have been detected in Saipan, given sampling effort during a biosurveillance exercise, and whether lizards could be used as a proxy on snake-free islands for estimating factors that affect detection; 4) the effect of transect design on pacing and subsequently pacing on lizard counts; and 5) the importance of observer training in surveying for cryptic reptiles and completing broad versus targeted bioinventories. We found that brown treesnake detection probability was density dependent when using visual surveys and declined with abundance in Guam, supporting that greater effort was required to have high confidence that lack of detection supported absence in areas with low snake densities. The terrestrial eDNA sampling protocol we developed was effective at detecting snakes in occupied locations in Guam and may be a complementary tool. However, further validation of eDNA protocols would still be required for early detection application. We also found that among trained observers, the ability to detect lizards was positively predictive of the number of snakes they detected at the standard snake densities in Guam. Thus, lizard detection appeared to be a reasonable proxy for evaluating visual search protocols for snakes on snake-free islands. Overall, creating easy pace-setting relationships between time and distance (i.e., 10 m per min), with flagging that clearly marked location on a transect, greatly reduced variability in search pace across survey nights. Observers that were continuously trained to maintain brown treesnake search profiles detected twice as many, on average, cryptic reptiles compared to individuals who had never received training, which was not true for the non-reptiles (birds and small mammals). Additionally, conducting broad bioinventories with many target species reduced detection of the target species, and this was increasingly true as years since the observer completed training for the target species increased. We thus found that designing biosurveillance exercises to evaluate search protocols can help improve or refine survey methods to reduce noise in the data, and accounting for that can improve the estimated confidence that failure to detect an invasive species infers absence.
","language":"English","publisher":"Pensoft Publishers","doi":"10.3897/neobiota.105.155408","usgsCitation":"Nafus, M.G., Viernes, M., Dunn, W.T., Fike, J., Oyler-McCance, S.J., and Cruz, J., 2026, Designing biosurveillance using target analysis for a cryptic invasive species, the brown treesnake (Boiga irregularis): NeoBiota, v. 105, p. 1-23, https://doi.org/10.3897/neobiota.105.155408.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-163586","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":505050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.105.155408","text":"Publisher Index Page"},{"id":504959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Guam, Saipan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 144.7902594837277,\n 13.676031266174192\n ],\n [\n 144.9116705271516,\n 13.676031266174192\n ],\n [\n 144.9116705271516,\n 13.49941337750964\n ],\n [\n 144.7902594837277,\n 13.49941337750964\n ],\n [\n 144.7902594837277,\n 13.676031266174192\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 145.8429941,\n 15.28781371762102\n ],\n [\n 145.6759887592105,\n 15.28781371762102\n ],\n [\n 145.6759887592105,\n 15.0880981\n ],\n [\n 145.8429941,\n 15.0880981\n ],\n [\n 145.8429941,\n 15.28781371762102\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia G. 0000-0002-7325-3055 mnafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":197462,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia","email":"mnafus@usgs.gov","middleInitial":"G.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Viernes, Marijoy C 0000-0002-9107-494X","orcid":"https://orcid.org/0000-0002-9107-494X","contributorId":336947,"corporation":false,"usgs":true,"family":"Viernes","given":"Marijoy C","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":962291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, W. Trey","contributorId":371732,"corporation":false,"usgs":false,"family":"Dunn","given":"W.","middleInitial":"Trey","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":962292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cruz, Joseph","contributorId":371738,"corporation":false,"usgs":false,"family":"Cruz","given":"Joseph","affiliations":[{"id":88198,"text":"Division of Fish and Wildlife, Saipan, Commonwealth of the Northern Mariana Islands","active":true,"usgs":false}],"preferred":false,"id":962295,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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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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":70275296,"text":"70275296 - 2026 - A deep dive into subduction zones and the Japan Trench","interactions":[],"lastModifiedDate":"2026-04-28T16:21:35.862461","indexId":"70275296","displayToPublicDate":"2026-01-05T11:14:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9348,"text":"Frontiers for Young Minds","active":true,"publicationSubtype":{"id":10}},"title":"A deep dive into subduction zones and the Japan Trench","docAbstract":"Deep beneath the ocean, giant slabs of rock slide beneath one another in areas called subduction zones. These powerful movements shape the planet by building mountains, creating fiery volcanoes, and even causing huge earthquakes. Scientists study subduction zones to understand why these natural events happen and where and how they might occur so we can be better prepared. One important subduction zone is the Japan Trench, where a big earthquake happened in 2011. To learn more about subduction zones, scientists go on ocean drilling expeditions. They sail on research ships, drill into the seafloor, and collect rock samples. These samples help scientists understand what happened in the past and how subduction zones work. In turn, this information helps communities better understand and prepare for future earthquakes.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frym.2025.1569402","usgsCitation":"Schuba, C.N., Fulton, P., Kirkpatrick, J.D., Kodaira, S., Conin, M., Regalla, C., Ujiie, K., Pincus, M., Cooper, S., Bentley, C., Okutsu, N., Maeda, L., Toczko, S., and Eguchi, N., 2026, A deep dive into subduction zones and the Japan Trench: Frontiers for Young Minds, HTML Document, https://doi.org/10.3389/frym.2025.1569402.","productDescription":"HTML Document","ipdsId":"IP-175480","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":503775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frym.2025.1569402","text":"Publisher Index Page"},{"id":503595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Schuba, C. Nur","contributorId":370555,"corporation":false,"usgs":false,"family":"Schuba","given":"C.","middleInitial":"Nur","affiliations":[{"id":51809,"text":"Bureau of Economic Geology, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":960444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, Patrick","contributorId":370489,"corporation":false,"usgs":false,"family":"Fulton","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":960445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirkpatrick, Jamie D.","contributorId":370479,"corporation":false,"usgs":false,"family":"Kirkpatrick","given":"Jamie","middleInitial":"D.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kodaira, Shuichi","contributorId":289698,"corporation":false,"usgs":false,"family":"Kodaira","given":"Shuichi","email":"","affiliations":[],"preferred":false,"id":960447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Conin, Marianne","contributorId":370486,"corporation":false,"usgs":false,"family":"Conin","given":"Marianne","affiliations":[{"id":27022,"text":"Universite de Lorraine","active":true,"usgs":false}],"preferred":false,"id":960448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":960449,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ujiie, Kohtaro","contributorId":370484,"corporation":false,"usgs":false,"family":"Ujiie","given":"Kohtaro","affiliations":[{"id":27339,"text":"University of Tsukuba","active":true,"usgs":false}],"preferred":false,"id":960450,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pincus, Maya","contributorId":370556,"corporation":false,"usgs":false,"family":"Pincus","given":"Maya","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":960451,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooper, Sharon","contributorId":370557,"corporation":false,"usgs":false,"family":"Cooper","given":"Sharon","affiliations":[{"id":17701,"text":"Lamont-Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":960452,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bentley, Callan","contributorId":370558,"corporation":false,"usgs":false,"family":"Bentley","given":"Callan","affiliations":[{"id":88044,"text":"Piedmont Virginia Community College","active":true,"usgs":false}],"preferred":false,"id":960453,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Okutsu, Natsumi","contributorId":370492,"corporation":false,"usgs":false,"family":"Okutsu","given":"Natsumi","affiliations":[{"id":63589,"text":"JAMSTEC","active":true,"usgs":false}],"preferred":false,"id":960489,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maeda, Lena","contributorId":370491,"corporation":false,"usgs":false,"family":"Maeda","given":"Lena","affiliations":[{"id":63589,"text":"JAMSTEC","active":true,"usgs":false}],"preferred":false,"id":960481,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Toczko, Sean","contributorId":370493,"corporation":false,"usgs":false,"family":"Toczko","given":"Sean","affiliations":[{"id":63589,"text":"JAMSTEC","active":true,"usgs":false}],"preferred":false,"id":960506,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Eguchi, Nobu","contributorId":370494,"corporation":false,"usgs":false,"family":"Eguchi","given":"Nobu","affiliations":[{"id":63589,"text":"JAMSTEC","active":true,"usgs":false}],"preferred":false,"id":960460,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"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":"2026-06-02T16:16:39.964953","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, v. 138, no. 2, p. 228-246, https://doi.org/10.1080/15594491.2025.2597098.","productDescription":"19 p.","startPage":"228","endPage":"246","ipdsId":"IP-181469","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501387,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"138","issue":"2","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":70275380,"text":"70275380 - 2026 - The Sand AbrasioN Device for Aeolian Research (SANDAR): A new experimental device for investigating how wind transport affects sand on Earth and Mars","interactions":[],"lastModifiedDate":"2026-05-01T13:46:59.560504","indexId":"70275380","displayToPublicDate":"2026-01-05T08:43:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"The Sand AbrasioN Device for Aeolian Research (SANDAR): A new experimental device for investigating how wind transport affects sand on Earth and Mars","docAbstract":"On Earth and Mars, aeolian transport causes sand grains to become abraded, resulting in mineralogic and textural changes. Understanding how sands evolve, or mature, with transport via experimental studies is important for understanding the origins, geologic history, and cycling of sediments, as well as dust production. Previous experimental works have used a variety of methods to simulate aeolian transport in the laboratory, but practical limitations and similitude concerns have limited such research. Here, we present and validate the Sand AbrasioN Device for Aeolian Research (SANDAR), a modified air mill that uses pressurized air to circulate sand around a small abrasion chamber, simulating the effects of aeolian transport. This device is re-circulating to simulate long-distance transport, and it allows for repeated analyses of well-constrained sediment samples, revealing their evolution over time. It is compatible with the grain sizes (74–500 μm) and grain impact velocities (∼0.6–3.7 m/s) typically expected for natural aeolian environments, and is also adaptable for diverse applications simulating different wind conditions. We show that the SANDAR achieves similitude of kinetic energy with respect to saltating sand on both Earth and Mars. SEM and optical microscope imaging reveal that the SANDAR produces microtextures on the surfaces of sand grains similar to those found with natural aeolian transport, demonstrating that it effectively simulates the mechanical effects of aeolian processes. Thus, the SANDAR is a valid tool for use in experimental research to improve our understanding of sedimentary processes across the Solar System.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2025.101027","usgsCitation":"Baker, A., Burr, D., Fry, R.L., Emery, J., and Loeffler, M., 2026, The Sand AbrasioN Device for Aeolian Research (SANDAR): A new experimental device for investigating how wind transport affects sand on Earth and Mars: Aeolian Research, v. 75, 101027, 16 p., https://doi.org/10.1016/j.aeolia.2025.101027.","productDescription":"101027, 16 p.","ipdsId":"IP-177776","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":504154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aeolia.2025.101027","text":"Publisher Index Page"},{"id":503878,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Earth, Mars","volume":"75","noUsgsAuthors":false,"publicationDate":"2026-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, A.","contributorId":191683,"corporation":false,"usgs":false,"family":"Baker","given":"A.","affiliations":[],"preferred":false,"id":960794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burr, Devon M.","contributorId":370803,"corporation":false,"usgs":false,"family":"Burr","given":"Devon","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":960795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fry, Rachel Lynn 0009-0009-1600-5029","orcid":"https://orcid.org/0009-0009-1600-5029","contributorId":370805,"corporation":false,"usgs":true,"family":"Fry","given":"Rachel","middleInitial":"Lynn","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":960796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Emery, Joshua P.","contributorId":370806,"corporation":false,"usgs":false,"family":"Emery","given":"Joshua","middleInitial":"P.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":960797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loeffler, M.","contributorId":370807,"corporation":false,"usgs":false,"family":"Loeffler","given":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":960798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"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; 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The “fish tumors or other deformities” BUI remains at the Sheboygan River and the Lower Green Bay and Fox River AOCs, necessitating evaluation in white sucker (Catostomus commersonii), a sentinel species. This study documented the prevalence of skin and liver neoplastic and preneoplastic lesions at these AOCs, assessed temporal trends at the Sheboygan River AOC from 2012 to 2021, and investigated potential risk factors influencing liver neoplasm development using histological and molecular approaches. Histopathological analyses revealed that skin neoplasms were present in 15.5% of fish from the Green Bay AOC and 21.5% from the Sheboygan River AOC, while liver neoplasms were detected in 7.0% and 6.0% of fish, respectively. At the Sheboygan River AOC, the prevalence of skin tumors declined from 32.6% in 2012 to 21.5% in 2021, and liver tumor prevalence decreased from 8.3% in 2012 to 6.0% in 2021. Hepatic transcript analyses identified significant expression of genes associated with contaminant exposure, oxidative stress, and immune response, suggesting ongoing exposure to environmental stressors. The presence of white sucker hepatitis B-like virus (WSHBV) in hepatocytes was confirmed, though no direct correlation between viral transcript abundance and neoplastic lesions was found. Findings indicate tumor prevalence has declined over time, however rates remain elevated compared to previous reference site assessments. The study underscores the potential multifactorial nature of carcinogenesis in wild fish populations, involving both chemical and biological stressors.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-025-03001-8","usgsCitation":"Blazer, V., Smith, C., Walsh, H.L., Mazik, P., and Magee, M., 2026, Assessment of the fish tumors or other deformities beneficial use impairment and associated risks at two Lake Michigan Areas of Concern: Ecotoxicology, v. 35, 31, https://doi.org/10.1007/s10646-025-03001-8.","productDescription":"31","ipdsId":"IP-177768","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498772,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.29048734241736,\n 45.11996146491421\n ],\n [\n -87.87373230732034,\n 41.45038648750469\n ],\n [\n -86.17190426741607,\n 41.678839342101355\n ],\n [\n -85.87905188122703,\n 44.368052629083294\n ],\n [\n -85.02411482267256,\n 45.18278321034072\n ],\n [\n -84.71593367967397,\n 45.94920022855845\n ],\n [\n -84.84776212832931,\n 46.32432984913021\n ],\n [\n -87.07263583258985,\n 45.87812022709528\n ],\n [\n -88.29048734241736,\n 45.11996146491421\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","noUsgsAuthors":false,"publicationDate":"2026-01-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Cheyenne Rose 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":303309,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne Rose","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazik, P.M.","contributorId":365199,"corporation":false,"usgs":false,"family":"Mazik","given":"P.M.","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":953908,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magee, M.R.","contributorId":365200,"corporation":false,"usgs":false,"family":"Magee","given":"M.R.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":953909,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273333,"text":"70273333 - 2026 - Rapid characterization of the 2025 Mw 8.8 Kamchatka, Russia earthquake","interactions":[],"lastModifiedDate":"2026-01-07T15:03:07.193971","indexId":"70273333","displayToPublicDate":"2026-01-02T08:54:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rapid characterization of the 2025 Mw 8.8 Kamchatka, Russia earthquake","title":"Rapid characterization of the 2025 Mw 8.8 Kamchatka, Russia earthquake","docAbstract":"The 29 July 2025 Mw 8.8 Kamchatka, Russia, earthquake was the sixth largest instrumentally recorded earthquake. This event was seismically well observed at regional and teleseismic distances, but publicly available near‐source data were sparse at the time of the event, presenting unique challenges for rapid source and impact characterization. The U.S. Geological Survey (USGS) National Earthquake Information Center provides global real‐time monitoring for earthquakes, including rapid response information products that estimate source characteristics, shaking, and the resulting impacts. We describe the USGS rapid response earthquake information products following the Kamchatka event and discuss their implications for ongoing hazards in the region. We describe potential improvements to our response workflows motivated by this event, including more rapid constraints on source geometries and the automated selection of fault geometries for finite‐fault inversions. The rapid response products together support the interpretation of a unilateral southwestward rupture with significant slip on the southwestern end of the rupture extent. The Mw 8.8–9.0 event in 1952, which ruptured a comparable extent of the Kuril–Kamchatka subduction interface, has many similarities to the 2025 rupture. This illustrates that slip deficits may remain following great earthquakes and highlights the usefulness of comparative studies between historic and modern events.
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Article"},"seriesTitle":{"id":1154,"text":"California Geology","active":true,"publicationSubtype":{"id":10}},"title":"Helping California get ready for when the mud hits the fan","docAbstract":"With frequent wildfires, powerful rainstorms, steep terrain, and dense population, California is particularly vulnerable to postfire hazards like flooding and debris flow. Major postfire flooding and debris-flow events can be more costly than the fire itself, causing dozens of fatalities and widespread damage (Chawner, 1934; Lancaster et al., 2021). Smaller events occur nearly every year in California and can locally damage structures and roads, affect water quality and storage, and result in injury or loss of life (e.g., Dow et al., 2024; Rodriguez, 2025; Swanson et al., 2024; Figure 1). To mitigate these threats, the U.S. Geological Survey (USGS) has developed tools to assist local, state, and federal agencies in rapidly assessing postfire debris-flow risk across California’s diverse geology and geography. This article summarizes that effort and describes ongoing work by the USGS and partners to advance these methods and help California better prepare for future wildfires.","language":"English","publisher":"California Geological Survey","usgsCitation":"Kean, J.W., and Kostelnik, J., 2026, Helping California get ready for when the mud hits the fan: California Geology, v. 56, p. 24-29.","productDescription":"6 p.","startPage":"24","endPage":"29","ipdsId":"IP-180168","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500554,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500540,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.conservation.ca.gov/cgs/documents/publications/california-geology-magazine/CG_2026-01.pdf"}],"country":"United 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\"}}]}","volume":"56","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kostelnik, Jaime 0000-0002-1817-5461","orcid":"https://orcid.org/0000-0002-1817-5461","contributorId":300717,"corporation":false,"usgs":true,"family":"Kostelnik","given":"Jaime","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273814,"text":"70273814 - 2026 - Colorado River basin","interactions":[],"lastModifiedDate":"2026-06-01T15:13:35.413492","indexId":"70273814","displayToPublicDate":"2026-01-01T10:07:49","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Colorado River basin","docAbstract":"Flowing 1,450 miles through seven states and 30 Tribal Nations, the Colorado River is known as the lifeline of the Southwest. The river delivers water to 40 million people, irrigates approximately five million acres of farmland, supports a trillion-dollar economy, and supplies hydroelectric power to millions. Its drainage basin stretches across 250,000 square miles of diverse ecosystems, providing habitat for thousands of plant and wildlife species. However, increasing temperatures have altered the amount and timing of annual snowmelt and streamflow, exacerbating drought conditions and diminishing reservoir storage levels. Over time, less water becomes readily available for the communities, ecosystems, and economies that rely on the river’s consistent flow.
","language":"English","publisher":"Southwest Climate Adaptation Science Center","usgsCitation":"Brown, S.O., 2026, Colorado River basin, 2 p.","productDescription":"2 p.","ipdsId":"IP-184306","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499489,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://swcasc.arizona.edu/resources/information-sheets"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.0595905,\n 29.1369707\n ],\n [\n -108.147548,\n 31.0262078\n ],\n [\n -108.3295035,\n 32.4190945\n ],\n [\n -106.46446,\n 36.79747\n ],\n [\n -106.1460379,\n 39.8304688\n ],\n [\n -106.7373932,\n 42.5009231\n ],\n [\n -109.3757474,\n 43.3006364\n ],\n [\n -110.87688,\n 41.0078939\n ],\n [\n -112.6509457,\n 38.1333064\n ],\n [\n -114.5614781,\n 38.7745079\n ],\n [\n -114.5159892,\n 40.6637326\n ],\n [\n -115.7896775,\n 40.352461\n ],\n [\n -116.2445661,\n 36.4323493\n ],\n [\n -115.9716329,\n 34.2432549\n ],\n [\n -115.2438111,\n 31.3375431\n ],\n [\n -113.7426785,\n 31.1820034\n ],\n [\n -112.0595905,\n 29.1369707\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Sierra Olivia 0009-0006-9454-6873","orcid":"https://orcid.org/0009-0006-9454-6873","contributorId":365833,"corporation":false,"usgs":true,"family":"Brown","given":"Sierra","middleInitial":"Olivia","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":954909,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274077,"text":"70274077 - 2026 - Population densities and trends of landbirds in the National Park of American Samoa","interactions":[],"lastModifiedDate":"2026-02-23T16:05:35.510459","indexId":"70274077","displayToPublicDate":"2026-01-01T09:57:30","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2026/377","title":"Population densities and trends of landbirds in the National Park of American Samoa","docAbstract":"The National Park of American Samoa (NPSA), which protects some of the most intact tropical rainforest in the South Pacific, is exposed to recurring, intense tropical cyclones, including Tropical Cyclone Gita in 2018. In combination with other anthropogenic pressures, cyclones represent a potential source of disturbance to landbird populations, particularly native frugivorous and seed-dispersing species. Long-term monitoring provides a means to evaluate population trajectories following disturbance events and to identify potential management gaps. Landbird surveys were conducted in the Tutuila and Taʻū units of NPSA in 2011, 2018, and 2023 using point-transect distance sampling, with vegetation composition and structure quantified at each sampling station. Species-specific detection functions were fitted to count data to estimate densities by unit, with variance estimated using bootstrap procedures. Comparisons of 2018 and 2023 density estimates using two-sample z-tests indicated that changes in most landbird populations were inconclusive. Since 2018, increases in density were observed for the Pacific Imperial Pigeon (Ducula pacifica) and Crimson-crowned Fruit Dove (Ptilinopus porphyraceus) on Tutuila, while decreases were observed for the Pacific Kingfisher (Todiramphus sacer) on Tutuila, and for the Polynesian Wattled Honeyeater (Foulehaio carunculatus), Polynesian Starling (Aplonis tabuensis), and Samoan Starling (Aplonis atrifusca) on Taʻū. The Many-colored Fruit Dove (Ptilinopus perousii) remained rare in both units, and the Manuʻa Shrikebill (Clytorhynchus vitiensis powelli) was narrowly distributed on Taʻū, with insufficient detections of either species to estimate density. The cryptic Spotless Crake (Zapornia tabuensis) was detected only in 2018. Changes in tree canopy cover and height did not exhibit patterns clearly associated with a major disturbance event and likely reflected differences in sampling frames among surveys. Invasive non-native plants, most notably Miconia crenata, were widespread in both units. Although many landbird populations in NPSA remain abundant, inference from current monitoring is constrained by limited information on vital rates and species-specific responses to invasive species, disease, habitat change, and extreme weather. As climate change is projected to increase tropical cyclone intensity in the South Pacific, sustained monitoring and targeted management will be important for understanding and conserving landbird populations in American Samoa.
","language":"English","publisher":"National Park Service","doi":"10.36967/2316674","usgsCitation":"Hunt, N., Judge, S., Camp, R.J., 2026, Population densities and trends of landbirds in the National Park of American Samoa: Science Report NPS/SR-2026/377, xi, 79 p., https://doi.org/10.36967/2316674.","productDescription":"xi, 79 p.","ipdsId":"IP-174526","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":500412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"National Park of American Samoa, Ta'u, Tutuila","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -170.89596699989136,\n -14.17346219088654\n ],\n [\n -170.89596699989136,\n -14.400947786592383\n ],\n [\n -170.47894716767155,\n -14.400947786592383\n ],\n [\n -170.47894716767155,\n -14.17346219088654\n ],\n [\n -170.89596699989136,\n -14.17346219088654\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.39051734301117,\n -14.192613255926261\n ],\n [\n -169.5245407615402,\n -14.192613255926261\n ],\n [\n -169.5245407615402,\n -14.286383192427323\n ],\n [\n -169.39051734301117,\n -14.286383192427323\n ],\n [\n -169.39051734301117,\n -14.192613255926261\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":956451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":956452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":956453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273960,"text":"70273960 - 2026 - Inventory of bat activity at Pearl Harbor National Memorial to inform historic preservation and compliance","interactions":[],"lastModifiedDate":"2026-02-19T15:55:47.256822","indexId":"70273960","displayToPublicDate":"2026-01-01T09:46:28","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR—2026/372","title":"Inventory of bat activity at Pearl Harbor National Memorial to inform historic preservation and compliance","docAbstract":"We examined ‘ōpe‘ape‘a, or Hawaiian hoary bat (Lasiurus semotus; Chiroptera: Vespertilionidae), acoustic activity and surveyed potential roost trees at the Ford Island Chief Petty Officer’s (CPO) Bungalows Neighborhood of Pearl Harbor National Memorial (PERL) on the island of O‘ahu. We established four acoustic monitoring stations (PERL1–PERL4) that operated nightly to survey for ‘ōpe‘ape‘a echolocation activity from June to December 2024. Tree physiognomy data were collected at 12 potential roost trees and included tree species, tree height, diameter at breast height (DBH), percent canopy cover, distance to nearest tree, elevation, and canopy geometry. We collected 357,802 acoustic files over 672 station-nights across the four acoustic monitoring stations. ‘Ōpe‘ape‘a echolocation activity was detected over a total of 26 (4%) station-nights and during each month of the survey period except June. Echolocation activity peaked in September and October 2024, which is during the post-lactation and fledging period. These results represent a baseline for assessing ‘ōpe‘ape‘a acoustic activity and potential roosting resources in PERL.
","language":"English","publisher":"National Park Service","doi":"10.36967/2315870","usgsCitation":"Montoya-Aiona, K., and Courtot, K., 2026, Inventory of bat activity at Pearl Harbor National Memorial to inform historic preservation and compliance: Science Report NPS/SR—2026/372, vii, 15 p., https://doi.org/10.36967/2315870.","productDescription":"vii, 15 p.","ipdsId":"IP-180417","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":500192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Ford Island, Oahu, Pearl Harbor National Memorial","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.94928573902297,\n 21.36946364709381\n ],\n [\n -157.95797973585766,\n 21.372455995420424\n ],\n [\n -157.96593473321434,\n 21.370101636011114\n ],\n [\n -157.96985736216502,\n 21.36008134582263\n ],\n [\n -157.96756993748758,\n 21.354279390445413\n ],\n [\n -157.96142938298075,\n 21.35552956739673\n ],\n [\n -157.95258348619797,\n 21.360177099234846\n ],\n [\n -157.94928573902297,\n 21.36946364709381\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":955926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":955927,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274766,"text":"70274766 - 2026 - Methodology to estimate South Arm dissolved salt mass and volume-weighted salinity values","interactions":[],"lastModifiedDate":"2026-05-29T14:43:59.576206","indexId":"70274766","displayToPublicDate":"2026-01-01T09:04:28","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"779","title":"Methodology to estimate South Arm dissolved salt mass and volume-weighted salinity values","docAbstract":"No abstract available.
","language":"English","publisher":"Utah Division of Forestry, Fire, and State Lands, Utah Department of Environmental Quality, and the Great Salt Lake Salinity Advisory Committee","doi":"10.34191/OFR-779","usgsCitation":"Rumsey, C., and Hynek, S., 2026, Methodology to estimate South Arm dissolved salt mass and volume-weighted salinity values: Open-File Report 779, 15 p., https://doi.org/10.34191/OFR-779.","productDescription":"15 p.","ipdsId":"IP-184865","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":504084,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.09767277906911,\n 41.71012700153673\n ],\n [\n -112.05448526034972,\n 41.71012700153673\n ],\n [\n -112.05448526034972,\n 40.637910543605216\n ],\n [\n -113.09767277906911,\n 40.637910543605216\n ],\n [\n -113.09767277906911,\n 41.71012700153673\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hynek, Scott 0000-0002-6885-0445","orcid":"https://orcid.org/0000-0002-6885-0445","contributorId":216634,"corporation":false,"usgs":true,"family":"Hynek","given":"Scott","email":"","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958983,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273935,"text":"70273935 - 2026 - Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","interactions":[],"lastModifiedDate":"2026-02-18T14:55:47.849711","indexId":"70273935","displayToPublicDate":"2026-01-01T07:42:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage","docAbstract":"The management of acid mine drainage (AMD) impacted catchments, such as the Odiel River basin, in southwestern Spain, prioritizes reclamation to meet water resources needs. Assessing water composition across its watercourses is needed to identify major AMD contributors and potentially guide remediation efforts. An equilibrium-based mixing model was developed to simulate AMD pollutant load reductions and estimate the impact of selective restorations on water quality in the Odiel River, particularly at the planned Alcolea Reservoir near its outlet. Sampling under varying flow conditions (average vs. high flow) showed a reduction in acidity transport (from 54.0 to 42.5 ton/day), attributed to greater neutralization effects during high flows. Over 90 % of metal-fluxes originate alone from the Riotinto (73.6 %), Tharsis (14.5 %), and San Telmo (5.00 %) mining districts, among many other mines. While geochemical model estimates fit well with observed data (R2 = 0.99), some deviations in non-conservative constituents (i.e. pH, Fe and Al) were observed (R2 = 0.73–0.99), likely due to uncertainties in solubility constants and redox/Fe speciation. After evaluating model reliability, two reduction scenarios (50 % and 100 %) were applied to the three primary sources. Full removal of contamination could subtantially improve impounded reservoir water quality, with pH values of 4.93 and 7.64, and a net acidity between 8.75 and 4.63 mg/L eq. CaCO3 in both average and high flows, respectively. Such differences may be related to flow regime effects on water quality. However, a 50 % reduction is insufficient to meet drinking or irrigation standards, highlighting the need for full and appropriate reclamation. The model offers a management tool for decision-making in the restoration of the Odiel River basin and could be transferable to similar AMD-affected basins worldwide.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.127486","usgsCitation":"Romero-Matos, J., Sánchez-López, L., León, R., Runkel, R.L., Nordstrom, D.K., Cánovas, C.R., Macías, F., and Nieto, J.M., 2026, Characterization and modeling approach for planning restoration strategies in a complex basin affected by acid mine drainage: Journal of Environmental Management, v. 397, 127486, 16 p., https://doi.org/10.1016/j.jenvman.2025.127486.","productDescription":"127486, 16 p.","ipdsId":"IP-178223","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":500250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2025.127486","text":"Publisher Index Page"},{"id":500136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","otherGeospatial":"Odiel River basin, southwestern Spain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -8.184000319431135,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.181601306712864\n ],\n [\n -6.784070704852212,\n 37.77675639447594\n ],\n [\n -8.184000319431135,\n 37.77675639447594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"397","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romero-Matos, Jonatan","contributorId":366397,"corporation":false,"usgs":false,"family":"Romero-Matos","given":"Jonatan","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sánchez-López, Laura","contributorId":366398,"corporation":false,"usgs":false,"family":"Sánchez-López","given":"Laura","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"León, Rafael","contributorId":366399,"corporation":false,"usgs":false,"family":"León","given":"Rafael","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordstrom, D. Kirk","contributorId":366400,"corporation":false,"usgs":false,"family":"Nordstrom","given":"D.","middleInitial":"Kirk","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":955816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cánovas, Carlos R.","contributorId":366401,"corporation":false,"usgs":false,"family":"Cánovas","given":"Carlos","middleInitial":"R.","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Macías, Francisco","contributorId":366402,"corporation":false,"usgs":false,"family":"Macías","given":"Francisco","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieto, José Miguel","contributorId":366403,"corporation":false,"usgs":false,"family":"Nieto","given":"José","middleInitial":"Miguel","affiliations":[{"id":87470,"text":"University of Huelva","active":true,"usgs":false}],"preferred":false,"id":955819,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273345,"text":"70273345 - 2026 - Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-04-06T15:42:10.531652","indexId":"70273345","displayToPublicDate":"2025-12-31T10:45:28","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model","docAbstract":"The rate of earthquakes in a region is a fundamental input to Probabilistic Seismic Hazard Analysis. We present a Monte Carlo method for computing that rate from seismicity catalogs while including a range of data and analysis uncertainties. This method is applied to regions for which the b value is assumed to be spatially invariant. Each region is broken down into epochs for which each epoch is estimated to have a uniform magnitude of completeness (Mc). The distribution of earthquake rates for M ≥ Mc is determined for each epoch by considering the Poisson likelihood of rates given the number of observed earthquakes with M ≥ Mc. We use a Monte Carlo process to include the uncertainty in b, Mc, and individual event magnitudes. The result for each epoch is the joint distribution of the Poisson rate of earthquakes with magnitudes larger than the minimum value used to calculate hazard (M1) and the Gutenberg–Richter b values, which control the extrapolation to other magnitudes. The rate for each region is either the duration‐weighted average over the epochs or, to better capture temporal variations, we also consider mixture models. The mixture models also provide an avenue to allow temporal variations in b values. To implement this joint distribution in a logic tree, we use the mean and 95% confidence branches, each of which is parameterized with an M ≥ M1 rate and b value. We explore different ways of defining those branches, as well as non‐Gutenberg–Richter branches, and their impact on hazard estimates. The mean hazard, but not the fractiles, is robust with respect to these choices. To illustrate these new methods, we use synthetic data and catalogs from recent U.S. Geological Survey National Seismic Hazard Models for the Central and Eastern United States and for Puerto Rico and the U.S. Virgin Islands.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240245","usgsCitation":"Michael, A.J., and Llenos, A.L., 2026, Capturing the uncertainty of seismicity observations in earthquake rate estimates: Implications for probabilistic seismic hazard analysis and the USGS National Seismic Hazard Model: Bulletin of the Seismological Society of America, v. 116, no. 2, p. 786-809, https://doi.org/10.1785/0120240245.","productDescription":"24 p.","startPage":"786","endPage":"809","ipdsId":"IP-171147","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":498394,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498476,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240245","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"central and eastern United States, Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.78074090569169,\n 18.563253258174967\n ],\n [\n -68.0988965908456,\n 17.877923675754772\n ],\n [\n -65.79027508404809,\n 17.94024820912165\n ],\n [\n -64.91802672378982,\n 17.61876483723642\n ],\n [\n -64.54841087453303,\n 17.674241141684107\n ],\n [\n -64.67276844737347,\n 18.36505205279029\n ],\n [\n -64.85854582812973,\n 18.494803755055287\n ],\n [\n -67.78074090569169,\n 18.563253258174967\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103,\n 50\n ],\n [\n -103,\n 24\n ],\n [\n -60,\n 24\n ],\n [\n -60,\n 50\n ],\n [\n -103,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":953399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":953400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273310,"text":"70273310 - 2026 - Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds","interactions":[],"lastModifiedDate":"2026-01-06T15:55:04.61116","indexId":"70273310","displayToPublicDate":"2025-12-30T09:46:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds","docAbstract":"At many petroleum hydrocarbon spill sites, residual spilled product forms a long-term source of groundwater contamination. The phrase source zone natural depletion is used to refer to the mass loss rates. Overall mass lost under environmental conditions was analyzed using conservative biomarker concentrations for a 1979 oil spill in northern Minnesota, USA. After 40–41 years, an average of 50% of the mass was lost with values ranging from 22% to 57% depending on location. It is also important to understand the composition changes in the source. To understand controls on the losses of individual compounds, concentrations of volatile hydrocarbons in oil samples were compared with aqueous solubilities, and pore-space oil saturations. The results of the comparison show that losses of the oil compounds were controlled by pore-space oil saturations, solubility, and susceptibility to degradation under methanogenic conditions. Compounds that degrade under methanogenic conditions, including toluene, o-xylene, and n-alkanes are more depleted compared to benzene, ethylbenzene, and m- and p-xylene for which losses are dominated by dissolution. These rates and compound-specific behaviors form a foundation for improved modeling approaches and risk analyses.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR041964","usgsCitation":"Bekins, B., and Herkelrath, W., 2026, Natural source zone depletion of crude oil in the subsurface: Processes controlling mass losses of individual compounds: Water Resources Research, v. 62, no. 1, e2025WR041964, 19 p., https://doi.org/10.1029/2025WR041964.","productDescription":"e2025WR041964, 19 p.","ipdsId":"IP-139177","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041964","text":"Publisher Index Page"},{"id":498361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Bemidji crude oil site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.0916,\n 47.5742\n ],\n [\n -95.0916,\n 47.5733\n ],\n [\n -95.0895,\n 47.5733\n ],\n [\n -95.0895,\n 47.5742\n ],\n [\n -95.0916,\n 47.5742\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":139407,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":953297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herkelrath, William 0000-0002-6149-5524","orcid":"https://orcid.org/0000-0002-6149-5524","contributorId":210576,"corporation":false,"usgs":true,"family":"Herkelrath","given":"William","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953298,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273323,"text":"70273323 - 2026 - Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","interactions":[],"lastModifiedDate":"2026-02-09T16:20:17.765608","indexId":"70273323","displayToPublicDate":"2025-12-30T09:41:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Effect of passive integrated transponder tag size on survival, tag loss, and growth of Santa Ana Sucker","docAbstract":"The Santa Ana Sucker Pantosteus santaanae is endemic to southern California and is listed as threatened under the U.S. Endangered Species Act. Seasonal limitations on conventional sampling and inconsistencies in survey methodologies have led to an incomplete understanding of population dynamics. Alternative sampling methods have the potential to fill important knowledge gaps in biology and life history. One option is to use passive integrated transponder (PIT) tags to identify individuals and track their movements. The objective of this study was to test the effect of PIT tag size on survival, tag loss, and growth of Santa Ana Suckers.
Sixty-one Santa Ana Suckers were randomly assigned to one of three treatments (control: N = 20; 8-mm PIT tag: N = 21; or 12-mm PIT tag: N = 20). A full-duplex PIT tag was injected into each fish, and lengths (standard, fork, and total length) and weight were recorded. Fish remained in raceways for 36 d, after which they were retrieved, scanned, and remeasured.
There were five fish mortalities within 48 h of tagging, resulting in an 87.8% overall survival rate. There were two fish mortalities from the 8-mm tag treatment and three mortalities from the 12-mm tag treatment. One fish from each tagging treatment lost their tag, resulting in a 5.6% overall tag loss rate. The Fisher’s exact test indicated no statistically significant difference in survival or tag loss between treatments. The ordinary least squares regression detected no effect of tag size on growth for Santa Ana Suckers.
Results suggest that 8- and 12-mm PIT tags are suitable options for tagging Santa Ana Suckers measuring at least 62 and 70 mm fork length, respectively. Supplementing the current sampling strategy with PIT tags could help monitoring efforts to expand spatially and temporally while providing expanded population data to inform adaptive management actions for the Santa Ana Sucker.
Agricultural conservation practices are often used to protect stream health while continuing food production. However, recovery of stream health is often not as rapid or extensive as planned. The efficacy of practices may be improved by promoting their continued use by landowners (i.e., persistence) after cost-share contracts with government agencies end. Persistence rates and their drivers are typically unknown. Therefore, we mail-surveyed 889 landowners to understand persistence in grazing practices in southwest Virginia. Survey responses were analyzed quantitatively using logistic regression and qualitatively via coding. We found that persistence rates for vegetative practices, cattle-exclusion fencing, off-stream watering structures, and pasture management were 74%, 84%, 94%, and 94%, respectively. Both the quantitative and qualitative analyses indicated that landowner cognitions (i.e., attitudes toward practices, environment, and agencies), environmental motivations, and practice durability influence persistence. Our results highlight that persistence could be encouraged by: (1) providing targeted messaging that demonstrates persistence benefits and aligns with landowners' motivations, (2) ensuring that responsibility to maintain practices is transferred during land-tenure changes, and (3) allocating more agency funding to practice maintenance.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70201","usgsCitation":"Mouser, J.B., Dayer, A.A., Ciparis, S., Bottenfield, S., and Angermeier, P., 2025, Landowners' cognitions and motivations coupled with practice durability influence persistence in grazing agricultural conservation practices in southwest Virginia: Conservation Science and Practice, e70201, 15 p., https://doi.org/10.1111/csp2.70201.","productDescription":"e70201, 15 p.","ipdsId":"IP-165843","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498844,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498939,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70201","text":"Publisher Index Page"}],"country":"United States","state":"Virginia","otherGeospatial":"southwest Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.90759974813469,\n 36.538485100358656\n ],\n [\n -81.74021235758092,\n 36.86345360817941\n ],\n [\n -81.86094324712056,\n 37.15010067210214\n ],\n [\n -83.04433182206326,\n 36.866145988606135\n ],\n [\n -82.90759974813469,\n 36.538485100358656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mouser, Joshua B.","contributorId":365374,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dayer, Ashley A.","contributorId":365375,"corporation":false,"usgs":false,"family":"Dayer","given":"Ashley","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":954235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ciparis, Serena","contributorId":203242,"corporation":false,"usgs":false,"family":"Ciparis","given":"Serena","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bottenfield, Sara","contributorId":365376,"corporation":false,"usgs":false,"family":"Bottenfield","given":"Sara","affiliations":[{"id":87133,"text":"Department of Conservation and Recreation","active":true,"usgs":false}],"preferred":false,"id":954237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":954238,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273351,"text":"70273351 - 2026 - Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","interactions":[],"lastModifiedDate":"2026-01-09T17:12:25.941374","indexId":"70273351","displayToPublicDate":"2025-12-27T11:01:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska","docAbstract":"Remote sensing can provide reliable information on river depths and this approach might be particularly valuable in areas that are difficult to survey via conventional field methods. In this study, we assessed the potential to map the bathymetry of an inaccessible proglacial river in Alaska from both aerial orthophotos and a multispectral satellite image. In addition, we evaluated a variety of depth retrieval algorithms with different input data requirements, including some methods that require field measurements of water depth for calibration and other techniques that can be applied even when such field data are not available. These approaches might enable more efficient use of remote sensing methods by resource management agencies. Our results suggest that bathymetric mapping along the turquoise-colored river we examined was not only feasible but highly accurate ( R2 up to 0.94) for both types of image data. Algorithms that use paired observations of depth and reflectance to train depth retrieval models were the most accurate, with errors on the order of 15%–20% and little or no bias. Alternative techniques based on hydraulic and statistical concepts also led to strong agreement between predicted and observed depths but were more susceptible to systematic biases toward under- or over-estimation of depth. In contrast to clear-flowing streams, bathymetric mapping in this environment was enabled by a direct relationship between the depth and brightness of the water due to scattering by suspended sediment. In selecting an appropriate depth retrieval method, a compromise might need to be reached between the level of field effort invested and the accuracy of the resulting image-derived bathymetry. Standalone software for implementing these techniques is freely available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2025.110140","usgsCitation":"Legleiter, C.J., Leonard, C.M., Burger, P.A., Pletcher, A.G., and Kinzel, P.J., 2026, Toward an efficient framework for remote sensing of river bathymetry: Comparing sensors and algorithms on an inaccessible proglacial river in Alaska: Geomorphology, v. 495, 110140, 24 p., https://doi.org/10.1016/j.geomorph.2025.110140.","productDescription":"110140, 24 p.","ipdsId":"IP-179757","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":498513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Alaska","otherGeospatial":"Mulchatna River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154.00824680332022,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.789825438561536\n ],\n [\n -154.09788058802903,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.770469283939605\n ],\n [\n -154.00824680332022,\n 60.789825438561536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"495","noUsgsAuthors":false,"publicationDate":"2025-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Christina M. 0000-0002-5096-8103","orcid":"https://orcid.org/0000-0002-5096-8103","contributorId":360578,"corporation":false,"usgs":false,"family":"Leonard","given":"Christina","middleInitial":"M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953421,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burger, Paul A. 0009-0005-7135-8290","orcid":"https://orcid.org/0009-0005-7135-8290","contributorId":360579,"corporation":false,"usgs":false,"family":"Burger","given":"Paul","middleInitial":"A.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953422,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pletcher, Addison G. 0009-0002-3775-0852","orcid":"https://orcid.org/0009-0002-3775-0852","contributorId":360580,"corporation":false,"usgs":false,"family":"Pletcher","given":"Addison","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":953423,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953424,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}