{"pageNumber":"76","pageRowStart":"1875","pageSize":"25","recordCount":184606,"records":[{"id":70265927,"text":"70265927 - 2025 - The demise of an icehouse: Calibrating the end of the LPIA","interactions":[],"lastModifiedDate":"2025-04-28T15:20:16.920953","indexId":"70265927","displayToPublicDate":"2025-04-19T11:46:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"The demise of an icehouse: Calibrating the end of the LPIA","docAbstract":"

Earth has experienced three complete icehouse-greenhouse turnovers in the Phanerozoic, with the Late Paleozoic Ice Age (LPIA) recognized as the last and most extreme icehouse. The nature, scale and dynamics of the LPIA are characterized by periods of intense glaciation, which are often interrupted by short-lived (1–2 Myrs) intervals associated with ice-free or distal from ice conditions. In this study, we focus on constraining the icehouse-greenhouse turnover across southcentral Gondwana (SCG) reporting new high-resolution U\"singlePb zircon CA-ID-TIMS ages from immediate postglacial facies in the Kalahari and Karoo basins. We integrate these ages with published U\"singlePb zircon CA-ID-TIMS ages (n = 20) to build a stratigraphic framework for SCG, to investigate the duration and nature of the demise of the LPIA. We confirm the stepwise deglaciation of Gondwana over a ca. 20 Myr period, with deglaciation occurring first in the Paraná Basin at ca. 300 Ma and in the Karoo Basin by 282 Ma. Low-latitude marine carbonates deposited contemporaneously with the final demise of ice is characterized by a major shift towards isotopically depleted δ13C and δ18O values. We interpret the perturbations in stable isotopes records to be driven by either mantle outgassing or the release of methane and the addition of glacial melt water to the paleo-ocean during warming. The presented stratigraphic framework is built in intracratonic basins, far from any syn- tectonic affects, suggesting a largely climatic driver behind deglaciation events.

","language":"English","publisher":"Elsiver","doi":"10.1016/j.gloplacha.2025.104843","usgsCitation":"Griffis, N.P., Mundil, R., Montañez, I., Dietrich, P., Le Heron, D., Iannuzzi, R., Linol, B., Mottin, T., Richey, J., and Kettler, C., 2025, The demise of an icehouse: Calibrating the end of the LPIA: Global and Planetary Change, v. 252, 104843, 14 p., https://doi.org/10.1016/j.gloplacha.2025.104843.","productDescription":"104843, 14 p.","ipdsId":"IP-169939","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496386,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-05043245","text":"External Repository"},{"id":484848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"252","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mundil, Roland","contributorId":337129,"corporation":false,"usgs":false,"family":"Mundil","given":"Roland","affiliations":[{"id":38176,"text":"Berkeley Geochronology Center","active":true,"usgs":false}],"preferred":false,"id":934031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montañez, Isabel","contributorId":353585,"corporation":false,"usgs":false,"family":"Montañez","given":"Isabel","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietrich, Pierre","contributorId":337133,"corporation":false,"usgs":false,"family":"Dietrich","given":"Pierre","email":"","affiliations":[{"id":80980,"text":"Géosciences-Rennes","active":true,"usgs":false}],"preferred":false,"id":934033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Heron, Daniel","contributorId":337131,"corporation":false,"usgs":false,"family":"Le Heron","given":"Daniel","email":"","affiliations":[{"id":80978,"text":"Department of Geodynamics and Sedimentology","active":true,"usgs":false}],"preferred":false,"id":934034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iannuzzi, Roberto","contributorId":337134,"corporation":false,"usgs":false,"family":"Iannuzzi","given":"Roberto","email":"","affiliations":[{"id":80981,"text":"Departamento de Paleontologia e Estratigrafia, Universidade Federal Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":934035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Linol, Bastien","contributorId":353586,"corporation":false,"usgs":false,"family":"Linol","given":"Bastien","affiliations":[{"id":68971,"text":"Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":934036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mottin, Thammy","contributorId":353587,"corporation":false,"usgs":false,"family":"Mottin","given":"Thammy","affiliations":[{"id":28206,"text":"Universidade Federal do Paraná","active":true,"usgs":false}],"preferred":false,"id":934037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richey, John","contributorId":353588,"corporation":false,"usgs":false,"family":"Richey","given":"John","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934038,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kettler, Christoph","contributorId":353589,"corporation":false,"usgs":false,"family":"Kettler","given":"Christoph","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":934039,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70270754,"text":"70270754 - 2025 - Habitat and predator influences on the spatial ecology of nine-banded armadillos","interactions":[],"lastModifiedDate":"2025-08-22T17:13:03.576077","indexId":"70270754","displayToPublicDate":"2025-04-19T10:02:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Habitat and predator influences on the spatial ecology of nine-banded armadillos","docAbstract":"

Mesopredator suppression has implications for community structure, biodiversity, and ecosystem function, but mesopredators with physical defenses may not avoid apex predators. We investigated nine-banded armadillos (Dasypus novemcinctus) in southwestern Oklahoma (USA) to evaluate if a species with physical defenses was influenced by a dominant predator, the coyote (Canis latrans). We sampled nine-banded armadillos and coyotes with motion-activated cameras. We used single-species and conditional two-species occupancy models to assess the influences of environmental factors and coyotes on nine-banded armadillo occurrence and site-use intensity (i.e., detection). We used camera-based detections to characterize the diel activity of each species and their overlap. Nine-banded armadillo occupancy was greater at sites closer to cover, with lower slopes, and further from water, whereas coyote space use was greater at higher elevations; both species were positively associated with recent burns. Nine-banded armadillo occurrence was not influenced by coyotes, but site-use intensity was suppressed by the presence of coyotes. Nine-banded armadillos (strictly nocturnal) and coyotes (predominantly nocturnal) had a high overlap in summer diel activity. Nine-banded armadillos are ecosystem engineers but are often considered a threat to species of concern and/or a nuisance. Thus, understanding the role of interspecific interactions on nine-banded armadillos has important implications for conservation and management.

","language":"English","publisher":"MDPI","doi":"10.3390/d17040290","usgsCitation":"Lonsinger, R.C., Murley, B.P., McDonald, D.T., Fallon, C.E., and White, K.M., 2025, Habitat and predator influences on the spatial ecology of nine-banded armadillos: Diversity, v. 17, no. 4, 290, 19 p., https://doi.org/10.3390/d17040290.","productDescription":"290, 19 p.","ipdsId":"IP-176619","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d17040290","text":"Publisher Index Page"},{"id":494540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Wichita Mountains Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.82516483790342,\n 34.84404355598089\n ],\n [\n -98.82516483790342,\n 34.674776209073414\n ],\n [\n -98.51270854835755,\n 34.674776209073414\n ],\n [\n -98.51270854835755,\n 34.84404355598089\n ],\n [\n -98.82516483790342,\n 34.84404355598089\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murley, Ben P.","contributorId":360371,"corporation":false,"usgs":false,"family":"Murley","given":"Ben","middleInitial":"P.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":946999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Daniel T.","contributorId":360373,"corporation":false,"usgs":false,"family":"McDonald","given":"Daniel","middleInitial":"T.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fallon, Christine E.","contributorId":360375,"corporation":false,"usgs":false,"family":"Fallon","given":"Christine","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Kara M.","contributorId":360378,"corporation":false,"usgs":false,"family":"White","given":"Kara","middleInitial":"M.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":947002,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266024,"text":"70266024 - 2025 - Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024","interactions":[],"lastModifiedDate":"2025-04-24T15:08:09.125922","indexId":"70266024","displayToPublicDate":"2025-04-19T09:59:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17060,"text":"Environmental Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024","docAbstract":"

Microbiome research is revolutionizing human and environmental health, but the value and reuse of microbiome data are significantly hampered by the limited development and adoption of data standards. While several ongoing efforts are aimed at improving microbiome data management, significant gaps still remain in terms of defining and promoting adoption of consensus standards for these datasets. The Strengthening the Organization and Reporting of Microbiome Studies (STORMS) guidelines for human microbiome research have been endorsed and successfully utilized by many research organizations, publishers, and funding agencies, and have been recognized as a consensus community standard. No equivalent effort has occurred for environmental, synthetic, and non-human host-associated microbiomes. To address this growing need within the microbiome research community, we convened the Microbiome Data Management in Action Workshop (June 12–13, 2024, in Atlanta, GA, USA), to bring together key decision makers in microbiome science including researchers, publishers, funders, and data repositories. The 50 attendees, representing the diverse and interdisciplinary nature of microbiome research, discussed recent progress and challenges, and brainstormed actionable recommendations and paths forward for coordinated environmental microbiome data management and the modifications necessary for the STORMS guidelines to be applied to environmental, non-human host, and synthetic microbiomes. The outcomes of this workshop will form the basis of a formalized data management roadmap to be implemented across the field. These best practices will drive scientific innovation now and in years to come as these data continue to be used not only in targeted reanalyses but in large-scale models and machine learning efforts.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s40793-025-00702-9","usgsCitation":"Kelliher, J., Aljumaah, M., Bordenstein, S., Brister, J., Chain, P., Dunduore-Arias, J., Emerson, J.B., Ferdandes, V., Flores, R., Gonzalez, A., Hansen, Z., Hatcher, E., Jackson, S., Kellogg, C.A., Madupu, R., Miller, C., Mirzayi, C., Mongodin, E., Moustafa, A., Mungall, C., Oliver, A., Pariente, N., Pett-Ridge, J., Record, S., Reji, L., Reysenbach, A., Rich, V., Richardson, L., Schriml, L., Shabman, R., Sierra, M., Sullivan, M., Sundaramurthy, P., Thibault, K.M., Thompson, L., Tighe, S.W., Vereen, E., and Eloe-Fadrosh, E., 2025, Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024: Environmental Microbiome, v. 20, 40, 8 p., https://doi.org/10.1186/s40793-025-00702-9.","productDescription":"40, 8 p.","ipdsId":"IP-169821","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40793-025-00702-9","text":"Publisher Index Page"},{"id":484981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelliher, Julia 0000-0003-4100-9119","orcid":"https://orcid.org/0000-0003-4100-9119","contributorId":353689,"corporation":false,"usgs":false,"family":"Kelliher","given":"Julia","affiliations":[{"id":84466,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA; New Mexico Consortium, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":934366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aljumaah, Mashael 0000-0003-2477-7239","orcid":"https://orcid.org/0000-0003-2477-7239","contributorId":353690,"corporation":false,"usgs":false,"family":"Aljumaah","given":"Mashael","affiliations":[{"id":84468,"text":"UNC Microbiome Core, Center for Gastrointestinal Biology and Disease (CGIBD), School of Medicine, University of North Carolina, Chapel Hill, NC,","active":true,"usgs":false}],"preferred":false,"id":934367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bordenstein, Sarah R. 0000-0001-6092-1950","orcid":"https://orcid.org/0000-0001-6092-1950","contributorId":353691,"corporation":false,"usgs":false,"family":"Bordenstein","given":"Sarah R.","affiliations":[{"id":84470,"text":"Departments of Biology & Entomology, Pennsylvania State University, University Park, PA, USA; One Health Microbiome Center, Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":934368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brister, J. Rodney 0000-0002-2249-975X","orcid":"https://orcid.org/0000-0002-2249-975X","contributorId":353692,"corporation":false,"usgs":false,"family":"Brister","given":"J. 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OR97201, USA","active":true,"usgs":false}],"preferred":false,"id":934390,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Rich, Virginia 0000-0003-0558-102X","orcid":"https://orcid.org/0000-0003-0558-102X","contributorId":328916,"corporation":false,"usgs":false,"family":"Rich","given":"Virginia","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":934391,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Richardson, Lorna 0000-0002-3655-5660","orcid":"https://orcid.org/0000-0002-3655-5660","contributorId":353710,"corporation":false,"usgs":false,"family":"Richardson","given":"Lorna","affiliations":[{"id":84485,"text":"EMBL-European Bioinformatics Institute","active":true,"usgs":false}],"preferred":false,"id":934392,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Schriml, Lynn M. 0000-0001-8910-9851","orcid":"https://orcid.org/0000-0001-8910-9851","contributorId":353486,"corporation":false,"usgs":false,"family":"Schriml","given":"Lynn M.","affiliations":[{"id":84422,"text":"University of Maryland School of Medicine, Institute for Genome Sciences, Genomic Standards Consortium, Baltimore, MD, USA","active":true,"usgs":false}],"preferred":false,"id":934393,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Shabman, Reed S. 0000-0003-3272-3484","orcid":"https://orcid.org/0000-0003-3272-3484","contributorId":353711,"corporation":false,"usgs":false,"family":"Shabman","given":"Reed S.","affiliations":[{"id":84486,"text":"Office of Data Science and Emerging Technologies, National Institute of Allergy and Infectious Diseases","active":true,"usgs":false}],"preferred":false,"id":934394,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Sierra, Maria","contributorId":353870,"corporation":false,"usgs":false,"family":"Sierra","given":"Maria","affiliations":[],"preferred":false,"id":934583,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Sullivan, Matthew 0000-0001-8398-8234","orcid":"https://orcid.org/0000-0001-8398-8234","contributorId":328924,"corporation":false,"usgs":false,"family":"Sullivan","given":"Matthew","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":934395,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Sundaramurthy, Punithavathi 0000-0002-2036-2557","orcid":"https://orcid.org/0000-0002-2036-2557","contributorId":353712,"corporation":false,"usgs":false,"family":"Sundaramurthy","given":"Punithavathi","affiliations":[{"id":47822,"text":"University of California, San Francisco","active":true,"usgs":false}],"preferred":false,"id":934396,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Thibault, K. M. 0000-0003-3477-6424","orcid":"https://orcid.org/0000-0003-3477-6424","contributorId":292341,"corporation":false,"usgs":false,"family":"Thibault","given":"K.","email":"","middleInitial":"M.","affiliations":[{"id":62877,"text":"Battelle, National Ecological Observatory Network, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":934397,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Thompson, Luke R. 0000-0002-3911-1280","orcid":"https://orcid.org/0000-0002-3911-1280","contributorId":353488,"corporation":false,"usgs":false,"family":"Thompson","given":"Luke R.","affiliations":[{"id":84423,"text":"National Oceanic and Atmospheric Administration, Atlantic Oceanographic and Meteorological Laboratory, Miami, FL, USA","active":true,"usgs":false}],"preferred":false,"id":934398,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Tighe, Scott W. 0000-0002-3988-0741","orcid":"https://orcid.org/0000-0002-3988-0741","contributorId":221765,"corporation":false,"usgs":false,"family":"Tighe","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":40423,"text":"Advanced Genome Technologies Core, University of Vermont, Burlington, Vermont 05405 United States","active":true,"usgs":false}],"preferred":false,"id":934399,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Vereen, Ethell 0000-0003-4758-6021","orcid":"https://orcid.org/0000-0003-4758-6021","contributorId":353713,"corporation":false,"usgs":false,"family":"Vereen","given":"Ethell","affiliations":[{"id":84487,"text":"Morehouse College","active":true,"usgs":false}],"preferred":false,"id":934400,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Eloe-Fadrosh, Emiley A. 0000-0002-8162-1276","orcid":"https://orcid.org/0000-0002-8162-1276","contributorId":353714,"corporation":false,"usgs":false,"family":"Eloe-Fadrosh","given":"Emiley A.","affiliations":[{"id":84481,"text":"Berkeley Lab","active":true,"usgs":false}],"preferred":false,"id":934401,"contributorType":{"id":1,"text":"Authors"},"rank":38}]}} ,{"id":70265986,"text":"70265986 - 2025 - Cardiac and behavioral responses to chemical and electrical immobilization in Lake Trout","interactions":[],"lastModifiedDate":"2025-05-12T15:46:37.944628","indexId":"70265986","displayToPublicDate":"2025-04-19T08:43:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Cardiac and behavioral responses to chemical and electrical immobilization in Lake Trout","docAbstract":"
Objective

Immobilizing or anesthetizing fish is important for promoting fish welfare in numerous routine activities that involve handling. Electroanesthesia, an alternative to traditional chemical anesthetics, uses weak electrical current to immobilize fish while current is applied, resulting in near-immediate induction and recovery. The physiological effects of electroanesthesia appear to be minimal or comparable to those of chemical anesthetics, but knowledge gaps exist on cardiac responses during treatment and behavioral responses in a controlled setting.

Methods

Lake Trout Salvelinus namaycush were immobilized by one of four treatments: control (physical restraint); eugenol (AQUI-S 20E); and continuously applied, low-voltage electroanesthesia with either constant DC or transcutaneous electrical nerve stimulation (TENS). We evaluated the heart rate while fish were immobilized, reflexes at 1 h posttreatment, and survival and movements in a laboratory setting over a 6-d posttreatment period.

Results

The heart rates of fish immobilized with either electroanesthesia treatment (constant DC: mean ± SE = 12.6 ± 1.1 beats/min; TENS: 13.1 ± 1.2 beats/min) were not significantly different from those of control fish (10.0 ± 1.2 beats/min) while immobilized. However, fish immobilized with eugenol exhibited heart rates that were more than three times higher (32.1 ± 1.2 beats/min) than those of control fish while immobilized. Treatments had no effect on reflex scores at 1 h posttreatment, the 6-d survival rate of fish (100%), or movement behavior during the hours (1–24 h) or days (6 d) after treatment.

Conclusions

This study adds to a growing body of research finding a lack of negative physiological or behavioral responses resulting from continuously applied electroanesthesia, suggesting that it is at least as safe as many chemical anesthetics in this respect. The significant cardiac response of Lake Trout while immobilized with eugenol warrants further investigation. While the body of research on immobilizing agents in fish grows, species-specific data remain sparse, and users would benefit from pilot testing before wider application.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf012","usgsCitation":"Funnell, T.R., Binder, T., and Vandergoot, C., 2025, Cardiac and behavioral responses to chemical and electrical immobilization in Lake Trout: Transactions of the American Fisheries Society, v. 152, no. 2, p. 205-213, https://doi.org/10.1093/tafafs/vnaf012.","productDescription":"9 p.","startPage":"205","endPage":"213","ipdsId":"IP-172752","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488474,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf012","text":"Publisher Index Page"},{"id":484905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"152","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Funnell, Tyler Reid 0000-0002-9074-3531","orcid":"https://orcid.org/0000-0002-9074-3531","contributorId":334195,"corporation":false,"usgs":true,"family":"Funnell","given":"Tyler","email":"","middleInitial":"Reid","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":934254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas R.","contributorId":350120,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandergoot, Christopher S.","contributorId":349830,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":934256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271426,"text":"70271426 - 2025 - Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events","interactions":[],"lastModifiedDate":"2025-09-12T15:44:10.695867","indexId":"70271426","displayToPublicDate":"2025-04-18T08:39:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5201,"text":"Nature Plants","onlineIssn":"2055-0278","active":true,"publicationSubtype":{"id":10}},"title":"Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events","docAbstract":"

Climate-driven forest mortality events have been extensively observed in recent decades, prompting the question of how quickly these affected forests can recover their functionality following such events. Here we assessed forest recovery in vegetation greenness (normalized difference vegetation index) and canopy water content (normalized difference infrared index) for 1,699 well-documented forest mortality events across 1,600 sites worldwide. By analysing 158,427 Landsat surface reflectance images sampled from these sites, we provided a global assessment on the time required for impacted forests to return to their pre-mortality state (recovery time). Our findings reveal a consistent decline in global forest recovery rate over the past decades indicated by both greenness and canopy water content. This decline is particularly noticeable since the 1990s. Further analysis on underlying mechanisms suggests that this reduction in global forest recovery rates is primarily associated with rising temperatures and increased water scarcity, while the escalation in the severity of forest mortality contributes only partially to this reduction. Moreover, our global-scale analysis reveals that the recovery of forest canopy water content lags significantly behind that of vegetation greenness, implying that vegetation indices based solely on greenness can overestimate post-mortality recovery rates globally. Our findings underscore the increasing vulnerability of forest ecosystems to future warming and water insufficiency, accentuating the need to prioritize forest conservation and restoration as an integral component of efforts to mitigate climate change impacts.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41477-025-01948-4","usgsCitation":"Yan, Y., Hong, S., Chen, A., Peñuelas, J., Allen, C.D., Hammond, W.M., Munson, S.M., Myneni, R.B., and Piao, S., 2025, Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events: Nature Plants, v. 11, p. 731-742, https://doi.org/10.1038/s41477-025-01948-4.","productDescription":"12 p.","startPage":"731","endPage":"742","ipdsId":"IP-166805","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2025-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Yan, Yuchao","contributorId":344981,"corporation":false,"usgs":false,"family":"Yan","given":"Yuchao","email":"","affiliations":[{"id":65605,"text":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China","active":true,"usgs":false}],"preferred":false,"id":948719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Songbai","contributorId":344984,"corporation":false,"usgs":false,"family":"Hong","given":"Songbai","email":"","affiliations":[{"id":65605,"text":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China","active":true,"usgs":false}],"preferred":false,"id":948720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Anping","contributorId":303015,"corporation":false,"usgs":false,"family":"Chen","given":"Anping","email":"","affiliations":[{"id":37774,"text":"Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":948721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peñuelas, Josep","contributorId":361384,"corporation":false,"usgs":false,"family":"Peñuelas","given":"Josep","affiliations":[{"id":86261,"text":"CREAF, Cerdanyola del Valles, Barcelona, Spain; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":948722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D.","contributorId":361385,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","middleInitial":"D.","affiliations":[{"id":86262,"text":"Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":948723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammond, William M.","contributorId":361386,"corporation":false,"usgs":false,"family":"Hammond","given":"William","middleInitial":"M.","affiliations":[{"id":86263,"text":"Institute of Food and Agricultural Sciences, Agronomy Department, University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":948724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Myneni, Ranga B.","contributorId":361387,"corporation":false,"usgs":false,"family":"Myneni","given":"Ranga","middleInitial":"B.","affiliations":[{"id":86266,"text":"Department of Earth and Environment, Boston University, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":948726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piao, Shilong","contributorId":288837,"corporation":false,"usgs":false,"family":"Piao","given":"Shilong","affiliations":[{"id":61843,"text":"College of Urban and Environmental Sciences, Sino‐French Institute for Earth System Science, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":948727,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70265829,"text":"sir20255023 - 2025 - A framework for understanding the effects of subsurface agricultural drainage on downstream flows","interactions":[],"lastModifiedDate":"2025-04-18T14:23:34.614404","indexId":"sir20255023","displayToPublicDate":"2025-04-17T15:29:38","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5023","displayTitle":"A Framework for Understanding the Effects of Subsurface Agricultural Drainage on Downstream Flows","title":"A framework for understanding the effects of subsurface agricultural drainage on downstream flows","docAbstract":"

Understanding controls on streamflow volume and magnitude is important to water resource management applications, such as critical water and transportation structure design and floodplain mapping. Changes in land use and agricultural practices, such as subsurface agricultural drainage, may be contributing to changes in streamflow characteristics. Subsurface agricultural drainage, also known as tile drainage, is the practice of installing drains in the subsurface of agricultural fields to improve productivity. Because of the complex interactions between subsurface drainage systems, precipitation, local soil conditions, and land management practices, it is difficult to determine how subsurface agricultural drainage affects downstream flow. Previously developed subsurface agricultural drainage conceptual models under dry, saturated, and winter conditions are summarized, and current literature on the effects of subsurface agricultural drainage on downstream flows, focusing on peak flow, non-event flow, and total flow to develop frameworks for discussing these systems is compiled.

The effects that subsurface drainage has on hydrologic systems are expected to vary by site and are seasonally based on system design, soil type, moisture conditions, precipitation characteristics, and land conditions. Subsurface drainage can affect the magnitude of peak flow by converting surface runoff from a storm event to subsurface runoff. By increasing hydrologic connectivity of a catchment, subsurface drainage can increase non-event flow or the flow between two storm events, typically dependent on lateral flow through the subsurface and groundwater. Theoretically, by diverting water from groundwater recharge or by reducing water available for evapotranspiration, subsurface drainage may increase the total volume of flow. Precipitation changes may increase infiltration, excess overland flow, and flood risk regardless of the presence or absence of subsurface drainage.

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Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-04-17","noUsgsAuthors":false,"publicationDate":"2025-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270710,"text":"70270710 - 2025 - Vulnerability of gulf ribbed mussels to marsh surface maximum temperatures","interactions":[],"lastModifiedDate":"2025-08-22T17:51:24.529995","indexId":"70270710","displayToPublicDate":"2025-04-17T10:45:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of gulf ribbed mussels to marsh surface maximum temperatures","docAbstract":"

Gulf ribbed mussels (Geukensia granosissima) act as ecosystem engineers and reside within the marsh platform of saltmarshes across the northern Gulf of Mexico. With climate models projecting increasing temperatures, and more frequent and extreme heat events, these mussels face increasing temperature-related risks. Marsh surface and subsurface (5-cm depth) temperature was measured continuously in the summer of 2022 in south Louisiana Gulf ribbed mussel habitat at nine stations. Marsh surface maximum temperatures were 5°C higher and more variable than recorded water temperatures, exceeding 38°C for periods of up to 3 h which generally coincided with low tides and peak solar radiation. Marsh subsurface temperatures were cooler with a lower mean and maximum temperature compared with the marsh surface, but higher than adjacent water. In two laboratory experiments the acclimated and acute thermal tolerance of wild mussels collected from the saltmarsh where temperatures were recorded, were explored. G. granosissima survived more than 40 days of continuous exposure in the laboratory to mean daily temperature values recorded for the marsh and subsurface microhabitats (28°C–34°C) but their calculated median lethal time (LT50) ranged from 35 to 56 days (36°C), to less than 3 days (40°C). Mussels acclimated to temperatures similar to long-term average water temperatures (28°C–32°C) and then exposed to maximum daily temperatures acutely experienced LT50 of less than 6 days (38°C), <1 day (40°C), and of less than 5 h (42°C). For G. granosissima both their thermal tolerance and behavioral response likely contribute to their survival in the face of extreme heat events, and their resulting distribution across the marsh surface and subsurface. Overall, results indicate that ribbed mussels in coastal Louisiana may rely on their ability to migrate vertically and bury in the marsh to avoid extreme heat exposure (temperature, duration) that may be lethal. The ability of Gulf ribbed mussels to endure short-term thermal extremes may ultimately determine the mussels' use as a tool in marsh stabilization and coastal restoration.

","language":"English","publisher":"BioOne","doi":"10.2983/035.044.0105","usgsCitation":"Liner, S.R., Roberts, B.J., Coxe, N., Lavaud, R., La Peyre, J.F., and La Peyre, M., 2025, Vulnerability of gulf ribbed mussels to marsh surface maximum temperatures: Journal of Shellfish Research, v. 44, no. 1, p. 45-53, https://doi.org/10.2983/035.044.0105.","productDescription":"9 p.","startPage":"45","endPage":"53","ipdsId":"IP-164252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","city":"Cocodrie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.81142673123271,\n 29.357597141906496\n ],\n [\n -90.81142673123271,\n 29.191048554283725\n ],\n [\n -90.47329864138207,\n 29.191048554283725\n ],\n [\n -90.47329864138207,\n 29.357597141906496\n ],\n [\n -90.81142673123271,\n 29.357597141906496\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liner, Skylar R.","contributorId":360165,"corporation":false,"usgs":false,"family":"Liner","given":"Skylar","middleInitial":"R.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":946868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Brian J.","contributorId":360168,"corporation":false,"usgs":false,"family":"Roberts","given":"Brian","middleInitial":"J.","affiliations":[{"id":16627,"text":"Louisiana Universities Marine Consortium (LUMCON)","active":true,"usgs":false}],"preferred":false,"id":946869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coxe, Nicholas","contributorId":341331,"corporation":false,"usgs":false,"family":"Coxe","given":"Nicholas","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":946870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lavaud, Romain","contributorId":341281,"corporation":false,"usgs":false,"family":"Lavaud","given":"Romain","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":946871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Jerome F.","contributorId":360171,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome","middleInitial":"F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":946872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946873,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268310,"text":"70268310 - 2025 - Observations reveal changing coastal storm extremes around the United States","interactions":[],"lastModifiedDate":"2025-06-20T15:11:01.51016","indexId":"70268310","displayToPublicDate":"2025-04-17T10:05:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Observations reveal changing coastal storm extremes around the United States","docAbstract":"

Understanding extreme storm surge events that threaten low-lying coastal communities is key to effective flood mitigation/adaptation measures. However, observational estimates are sparse and highly uncertain along most coastal regions with a lack of observational evidence about long-term underlying trends and their contribution to overall extreme sea-level changes. Here, using a spatiotemporal Bayesian hierarchical framework, we analyse US tide gauge record for 1950–2020 and find that observational estimates have underestimated likelihoods of storm surge extremes at 85% of tide gauge sites nationwide. Additionally, and contrary to prevailing beliefs, storm surge extremes show spatially coherent trends along many widespread coastal areas, providing evidence of changing coastal storm intensity in the historical monitoring period. Several hotspots exist with regionally significant storm surge trends that are comparable to trends in mean sea-level rise and its key components. Our findings challenge traditional coastal design/planning practices that rely on estimates from discrete observations and assume stationarity in surge extremes.

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Soenke","contributorId":357180,"corporation":false,"usgs":false,"family":"Dangendorf","given":"Soenke","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":940779,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kopp, Robert","contributorId":357181,"corporation":false,"usgs":false,"family":"Kopp","given":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":940780,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oppenheimer, Michael","contributorId":357182,"corporation":false,"usgs":false,"family":"Oppenheimer","given":"Michael","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":940781,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70269584,"text":"70269584 - 2025 - Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","interactions":[],"lastModifiedDate":"2025-07-28T13:48:30.119837","indexId":"70269584","displayToPublicDate":"2025-04-17T08:46:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","title":"Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","docAbstract":"

Reservoir predation has been identified as a leading mortality source for smolts migrating through impounded river systems. We investigated smolt predation risk for an endangered Atlantic salmon (Salmo salar) population in the Weldon Dam reservoir in the Penobscot River, Maine, USA. In spring 2022, we characterized the fates of 390 tethered smolts. Smolts were exclusively predated by two predator species not native to the study area: chain pickerel (Esox niger, n = 43) and smallmouth bass (Micropterus dolomieu, n = 42). Using Cox-proportional hazard analysis, we estimated that 23% (95% CI = 15%–29%) of tethered smolts were expected to be predated within a one-hour deployment. Water temperature was the primary driver of predation risk as predation probability increased from 10% to 33% when temperature increased from 5 to 15 °C. Smolts also incurred above-average predation risk when they were within 40 m of shore. We demonstrate that non-native fish predation may drive patterns of high impoundment mortality and that risk is spatially and temporally heterogeneous within these systems. Collectively, this study offers direct evidence of species-specific predation on Atlantic salmon smolts and illuminates potential strategies to mitigate predation risk during reservoir migration.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0416","usgsCitation":"Mensinger, M., Casey, A., Mortelliti, A., and Zydlewski, J.D., 2025, Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-15, https://doi.org/10.1139/cjfas-2024-0416.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-162835","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Pensbscot River, Weldon Dam reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.51927422282627,\n 45.60668041885205\n ],\n [\n -68.51927422282627,\n 45.56579487814537\n ],\n [\n -68.40635313680089,\n 45.56579487814537\n ],\n [\n -68.40635313680089,\n 45.60668041885205\n ],\n [\n -68.51927422282627,\n 45.60668041885205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mensinger, Matthew A.","contributorId":358683,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casey, Andrea N.","contributorId":358685,"corporation":false,"usgs":false,"family":"Casey","given":"Andrea N.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortelliti, Alessio","contributorId":358688,"corporation":false,"usgs":false,"family":"Mortelliti","given":"Alessio","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":944109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267879,"text":"70267879 - 2025 - Stressor-driven changes in freshwater biological indicators inform spatial management strategies using expert knowledge, observational data, and hierarchical models","interactions":[],"lastModifiedDate":"2025-06-09T14:25:22.071785","indexId":"70267879","displayToPublicDate":"2025-04-17T07:56:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Stressor-driven changes in freshwater biological indicators inform spatial management strategies using expert knowledge, observational data, and hierarchical models","docAbstract":"

Stream ecosystems face continuous pressures from multiple anthropogenic stressors that reshape biological communities and impact ecosystem health and services. Managers can encounter challenges in stewarding ecosystems threatened by multiple stressors, in part because most multiple stressor studies are experimental and, while valuable, offer limited management relevance in targeting these stressors on the landscape. Recent advances in causal inference coupled with large biomonitoring data sets could further understanding of observational stressor-response relationships, aiding management. In this study, we use bioassessment data in the Chesapeake Bay watershed in the mid-Atlantic region of the United States to identify how water quality and physical habitat stressors influence key benthic macroinvertebrate response metrics, considering hierarchical relationships using Bayesian networks. Results suggest water temperature and specific conductivity were prevalent stressors in a mountainous region (northern Appalachians), whereas in an agriculturally dominated region (southern Appalachians) physical habitat alterations were the predominant stressor. In mixed-land use regions (Piedmont & Coastal Plains), specific conductivity was a key stressor, but habitat heterogeneity was important for macroinvertebrate metrics. To illustrate how these stressor-response relationships can be used to guide management decisions, we applied the resist-accept-direct (RAD) framework to develop a portfolio of management options based on predicted changes in macroinvertebrate metrics in response to physical habitat and water quality stressors. For example, accepting changes in areas with co-occurring stressors may be the most feasible option, whereas directing changes through stream restoration or water quality improvements may be effective in areas with single stressor groups. By leveraging observational bioassessment data and causal inference to identify key stressor-response relationships, this research supports decision making by building a simple, strategic management portfolio.

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Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 5 million barrels of oil and 25 billion cubic feet of gas in conventional reservoirs and 361 million barrels of oil and 10,978 billion cubic feet of gas in continuous reservoirs in the Western Gulf Basin Province of the U.S. Gulf Coast region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253015","programNote":"National and Global Petroleum Assessment","usgsCitation":"Craddock, W.H., Counts, J.W., Doolan, C.A., Buursink, M.L., Lohr, C.D., Hatcherian, J.J., French, K.L., Gooley, J.T., Le, P.A., Mercier, T.J., Woodall, C.A., and Schenk, C.J., 2025, Assessment of undiscovered conventional and continuous oil and gas resources in the Escondido, Olmos, and San Miguel Formations of the Western Gulf Basin Province, U.S. Gulf Coast region, 2023: U.S. Geological Survey Fact Sheet 2025–3015, 4 p., https://doi.org/10.3133/fs20253015.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":493762,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118541.htm","linkFileType":{"id":5,"text":"html"}},{"id":484643,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3015/fs20253015.xml"},{"id":484642,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3015/images"},{"id":484421,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3015/fs20253015.pdf","text":"Report","size":"1.71 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3015"},{"id":484682,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253015/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3015"},{"id":484420,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3015/coverthb.jpg"},{"id":484422,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GQ4CU","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Gulf Coast Escondido, Olmos, and San Miguel Formations Conventional and Continuous Oil and Gas Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101,\n 30.5\n ],\n [\n -101,\n 27.8\n ],\n [\n -97,\n 27.8\n ],\n [\n -97,\n 30.5\n ],\n [\n -101,\n 30.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2025-04-16","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932933,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":932934,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70265162,"text":"sim3532 - 2025 - Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022","interactions":[],"lastModifiedDate":"2025-08-07T20:58:26.866569","indexId":"sim3532","displayToPublicDate":"2025-04-16T10:12:51","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3532","displayTitle":"Altitude of the Potentiometric Surface and Depth to Water in the Mississippi River Valley Alluvial Aquifer, Spring 2022","title":"Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022","docAbstract":"

Potentiometric-surface and depth-to-water maps for spring 2022 were created for the Mississippi River Valley alluvial aquifer (MRVA) using groundwater-altitude data from 1,136 wells completed in the MRVA and from the altitude of the top of the water surface in area rivers from 160 streamgages. The potentiometric-surface and depth-to-water maps for 2022 were created to support investigations to characterize the MRVA as part of the U.S. Geological Survey Water Availability and Use Science Program. Sufficient data were available to map the potentiometric surface and depth to water of the MRVA for spring 2022 for about 83 percent of the aquifer area. The potentiometric contours ranged from 0 to 340 feet (ft) above the North American Vertical Datum of 1988. The regional direction of groundwater gradient was generally to the south-southwest, except in areas of groundwater-altitude depressions, where the groundwater gradient was into the depression, and near rivers, where the groundwater gradient can be from aquifer to the river or from the river into the aquifer. There are large depressions in the potentiometric-surface map in the lower one-half of the Cache region and in much of the Grand Prairie and Delta regions. Depth to water in the MRVA, spring 2022, by well ranged from 5.00 ft above land surface to 145.66 ft below land surface.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3532","programNote":"Water Availability and Use Science Program","usgsCitation":"McGuire, V.L., Strauch, K.R., Wojtylko, E.A., Asquith, W.H., Nottmeier, A.M., Thomas, J.C., Tollett, R.W., and Kress, W.H., 2025, Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022: U.S. Geological Survey Scientific Investigations Map 3532, 5 sheets, scales 1:1,000,000 and 1:2,000,000, 19-p. pamphlet, https://doi.org/10.3133/sim3532.","productDescription":"Pamphlet: ix, 19 p.; 5 Sheets: 30.00 x 45.00 inches or smaller; Data Release; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-137606","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":493761,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118540.htm","linkFileType":{"id":5,"text":"html"}},{"id":484091,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3532/full"},{"id":484092,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet1.pdf","text":"Sheet 1","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484094,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet2.pdf","text":"Sheet 2","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484095,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet3.pdf","text":"Sheet 3","size":"7.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484096,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet4.pdf","text":"Sheet 4","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484097,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet5.pdf","text":"Sheet 5","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484098,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95883TJ","text":"USGS data release","linkHelpText":"Datasets used to map the potentiometric surface and depth to water, Mississippi River Valley alluvial aquifer, spring 2022"},{"id":484099,"rank":12,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":484087,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3532/coverthb.jpg"},{"id":484088,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3532/sim3532.pdf","text":"Pamphlet","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3532"},{"id":484089,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3532/sim3532.XML"},{"id":484090,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3532/images/"}],"country":"United States","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.7960849146639,\n 39.04358924105398\n ],\n [\n -91.7960849146639,\n 28.527159743704843\n ],\n [\n -88.44541245375156,\n 28.527159743704843\n ],\n [\n -88.44541245375156,\n 39.04358924105398\n ],\n [\n -91.7960849146639,\n 39.04358924105398\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-04-16","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Virginia L. 0000-0002-3962-4158 vlmcguir@usgs.gov","orcid":"https://orcid.org/0000-0002-3962-4158","contributorId":404,"corporation":false,"usgs":true,"family":"McGuire","given":"Virginia","email":"vlmcguir@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":208562,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erik A. Wojtylko 0000-0003-4945-7549","orcid":"https://orcid.org/0000-0003-4945-7549","contributorId":352941,"corporation":false,"usgs":true,"family":"Erik A. Wojtylko","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Asquith, William H. 0000-0002-7400-1861 wasquith@usgs.gov","orcid":"https://orcid.org/0000-0002-7400-1861","contributorId":1007,"corporation":false,"usgs":true,"family":"Asquith","given":"William","email":"wasquith@usgs.gov","middleInitial":"H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nottmeier, Anna M. 0000-0002-0205-0955 anottmeier@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-0955","contributorId":5283,"corporation":false,"usgs":true,"family":"Nottmeier","given":"Anna","email":"anottmeier@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Judith C. 0000-0001-7883-1419","orcid":"https://orcid.org/0000-0001-7883-1419","contributorId":202706,"corporation":false,"usgs":true,"family":"Thomas","given":"Judith","email":"","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932524,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tollett, Roland W. 0000-0002-4726-5845 rtollett@usgs.gov","orcid":"https://orcid.org/0000-0002-4726-5845","contributorId":1896,"corporation":false,"usgs":true,"family":"Tollett","given":"Roland","email":"rtollett@usgs.gov","middleInitial":"W.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932525,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932526,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265781,"text":"ofr20251016 - 2025 - Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers","interactions":[],"lastModifiedDate":"2025-04-16T14:12:22.479005","indexId":"ofr20251016","displayToPublicDate":"2025-04-16T09:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1016","displayTitle":"Evaluation of Alternative Coatings for U.S. Geological Survey Water-Quality Samplers","title":"Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers","docAbstract":"

Each year, U.S. Geological Survey (USGS) personnel collect approximately 52,000 water-quality samples from rivers and streams across the United States. Several samplers are used by the USGS for water-quality sample collection in riverine environments. These samplers are coated with Plasti Dip to protect the exterior of the sampler; however, Plasti Dip is susceptible to fraying and wear, requiring maintenance. Alternative coatings were tested to determine if a different coating is better suited for the samplers. The alternative coatings included Raptor, powder coating, and DuraCoat; a fifth option was bare metal. Samplers with different coatings were evaluated based on initial coating application, equipment blank samples, a controlled wear test, blank sample collection with worn samplers, maintenance and re-coating of samplers, and field-use and wear tracking. The powder-coated sampler proved to be the top performer overall in the study.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251016","usgsCitation":"Thornton, A.M., 2025, Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers: U.S. Geological Survey Open-File Report 2025–1016, 15 p., https://doi.org/10.3133/ofr20251016.","productDescription":"Report: iv, 15 p.; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173533","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":484591,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P144VS6G","text":"USGS data release","linkHelpText":"Data to support the evaluation of alternative Coatings for USGS Water-Quality Samplers"},{"id":484590,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1016/images/"},{"id":484589,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1016/ofr20251016.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1016 XML"},{"id":484588,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251016/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1016 HTML"},{"id":484587,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1016/ofr20251016.pdf","text":"Report","size":"3.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1016 PDF"},{"id":484586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1016/coverthb.jpg"}],"contact":"

Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-04-16","noUsgsAuthors":false,"plainLanguageSummary":"


","publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thornton, Alyssa M. 0000-0002-0160-3482","orcid":"https://orcid.org/0000-0002-0160-3482","contributorId":353414,"corporation":false,"usgs":true,"family":"Thornton","given":"Alyssa M.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933519,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70265913,"text":"70265913 - 2025 - Gaps in water quality modeling of hydrologic systems","interactions":[],"lastModifiedDate":"2025-04-21T13:16:19.082806","indexId":"70265913","displayToPublicDate":"2025-04-16T09:41:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Gaps in water quality modeling of hydrologic systems","docAbstract":"

This review assesses gaps in water quality modeling, emphasizing opportunities to improve next-generation models that are essential for managing water quality and are integral to meeting goals of scientific and management agencies. In particular, this paper identifies gaps in water quality modeling capabilities that, if addressed, could support assessments, projections, and evaluations of management alternatives to support ecosystem health and human beneficial use of water resources. It covers surface water and groundwater quality modeling, dealing with a broad suite of physical, biogeochemical, and anthropogenic drivers. Modeling capabilities for six constituents (or constituent categories) are explored: water temperature, salinity, nutrients, sediment, geogenic constituents, and contaminants of emerging concern. Each constituent was followed through the coupled atmospheric-hydrologic-human system, with prominent modeling gaps described for a diverse array of relevant inputs, processes, and human activities. Commonly identified modeling gaps primarily fall under three types: (1) model gaps, (2) data gaps, and (3) process understanding gaps. In addition to potential solutions for addressing specific individual modeling limitations, some broad approaches (e.g., enhanced data collection and compilation, machine learning, reduced-complexity modeling) are discussed as ways forward for tackling multiple gaps. This gap analysis establishes a framework of diverse approaches that may support improved process representation, scale, and accuracy of models for a wide range of water quality issues.

","language":"English","publisher":"MDPI","doi":"10.3390/w17081200","usgsCitation":"Lucas, L., Brown, C., Robertson, D., Baker, N.T., Johnson, Z., Green, C., Cho, J., Erickson, M., Gellis, A.C., Jasmann, J.R., Knowles, N., Prein, A., and Stackelberg, P.E., 2025, Gaps in water quality modeling of hydrologic systems: Water, v. 17, no. 8, 1200, 98 p., https://doi.org/10.3390/w17081200.","productDescription":"1200, 98 p.","ipdsId":"IP-157684","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488460,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17081200","text":"Publisher Index Page"},{"id":484764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Craig J. 0000-0002-3858-3964","orcid":"https://orcid.org/0000-0002-3858-3964","contributorId":210450,"corporation":false,"usgs":true,"family":"Brown","given":"Craig J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Nancy T. 0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":933945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cho, Jong 0000-0001-5514-6056","orcid":"https://orcid.org/0000-0001-5514-6056","contributorId":291384,"corporation":false,"usgs":true,"family":"Cho","given":"Jong","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erickson, Melinda L. 0000-0002-1117-2866 merickso@usgs.gov","orcid":"https://orcid.org/0000-0002-1117-2866","contributorId":3671,"corporation":false,"usgs":true,"family":"Erickson","given":"Melinda L.","email":"merickso@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933948,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gellis, Allen C. 0000-0002-3449-2889 agellis@usgs.gov","orcid":"https://orcid.org/0000-0002-3449-2889","contributorId":197684,"corporation":false,"usgs":true,"family":"Gellis","given":"Allen","email":"agellis@usgs.gov","middleInitial":"C.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933949,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":238713,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy","email":"","middleInitial":"Roland","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":933950,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knowles, Noah 0000-0001-5652-1049","orcid":"https://orcid.org/0000-0001-5652-1049","contributorId":206338,"corporation":false,"usgs":true,"family":"Knowles","given":"Noah","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":933951,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Prein, Andreas","contributorId":352146,"corporation":false,"usgs":false,"family":"Prein","given":"Andreas","affiliations":[{"id":24610,"text":"NCAR","active":true,"usgs":false}],"preferred":false,"id":933952,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stackelberg, Paul E. 0000-0002-1818-355X","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":204864,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","middleInitial":"E.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":933953,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70266873,"text":"70266873 - 2025 - Selenium differentially influences methylmercury retention across mayfly life stages","interactions":[],"lastModifiedDate":"2025-05-14T14:32:43.488492","indexId":"70266873","displayToPublicDate":"2025-04-16T09:30:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Selenium differentially influences methylmercury retention across mayfly life stages","docAbstract":"

Though high mercury and selenium concentrations are individually toxic to organisms, there is a hypothesized antagonistic relationship. This potential mercury–selenium interaction is under-studied in aquatic macroinvertebrates, particularly in relation to complex life histories. We examined the proposed effect of selenium on methylmercury accumulation between four life stages for a parthenogenetic mayfly (Neocloeon triangulifer). We exposed diatoms to elevated methylmercury concentrations and fed them to mayflies exposed to elevated aqueous selenomethionine. We found some support for the mercury–selenium antagonism hypothesis, but it was context-specific. Selenium reduced methylmercury accumulation in high but not low methylmercury environments. Though terrestrial adult life stages had higher mercury concentrations compared to aquatic larval life stages, cumulative life history transfer factor (LHTF; ratio of methylmercury in adult imago to late instar larvae) differed by treatment. LHTF was constant for all aqueous selenium exposure levels at high dietary methylmercury (selenium impacts on methylmercury uptake and loss) but increased with aqueous selenium exposures at low dietary methylmercury (selenium impacts on methylmercury uptake only), suggesting a synergistic enhancement of MeHg transfer between life stages with increased aqueous Se exposure levels. These results suggest that animals eating adult aquatic insects are exposed to higher concentrations of methylmercury than those feeding on larval insects across selenium and methylmercury levels, but interference of selenium on methylmercury accumulation is only present at high methylmercury environments.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c00338","usgsCitation":"Gerson, J.R., Dorman, R.A., Eagles-Smith, C., and Walters, D., 2025, Selenium differentially influences methylmercury retention across mayfly life stages: Environmental Science and Technology, v. 59, no. 16, p. 8201-8209, https://doi.org/10.1021/acs.est.5c00338.","productDescription":"9 p.","startPage":"8201","endPage":"8209","ipdsId":"IP-165623","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":490120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c00338","text":"Publisher Index Page"},{"id":485932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"16","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gerson, Jacqueline R.","contributorId":198378,"corporation":false,"usgs":false,"family":"Gerson","given":"Jacqueline","email":"","middleInitial":"R.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false},{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":937005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":937007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":937008,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266843,"text":"70266843 - 2025 - Does the Lost Jim lava flow (Alaska) really preserve evidence of interaction with permafrost?","interactions":[],"lastModifiedDate":"2025-05-13T16:35:06.894023","indexId":"70266843","displayToPublicDate":"2025-04-16T09:29:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Does the Lost Jim lava flow (Alaska) really preserve evidence of interaction with permafrost?","docAbstract":"

The basaltic Lost Jim lava flow, the youngest member of the Imuruk Lake volcanic field, Alaska, is reported to have interacted with underlying permafrost by thawing it and forming cavities into which the lava flow collapsed, forming pits and other depressions on the lava flow's surface. Our field observations contradict this hypothesis. The Lost Jim lava flow exhibits surface features typical of an inflated pāhoehoe flow, and we propose instead that most of the pits are unambiguously the result of flow inflation (i.e., lava-rise pits). These pits are found on elevated, relatively level surfaces, and their inner walls preserve features like rotated surface slabs and fine-scale flow banding on exposed crack surfaces, both of which are hallmarks of lava flow inflation. While collapse pits do exist on the Lost Jim lava flow, they are morphologically distinct and formed by crustal failure into drained lava tubes.

Satellite images of the Lost Jim lava flow show similarities in the size and distribution of pits within other young pāhoehoe lava flows scattered across the globe. The small diameter of many of the pits (<10 m), compared to flow thickness (≥10 m), also argues against collapse—numerical modeling shows that the relatively high tensile strength of a coherent lava flow would have prevented its collapse into cavities similar in diameter to the lava flow's thickness. Finally, the pits are found scattered across the Lost Jim lava flow, including in locations where the lava flow rests directly on bedrock, which consists of older lava flows. Segregated ice lenses and soil expansion—necessary components for thermokarst formation when thawed—do not exist in such locations. Altogether, these factors show that the Lost Jim lava flow is an inflated lava flow, and permafrost played no significant role during or after its emplacement.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108347","usgsCitation":"Orr, T., Coombs, W., Rader, E., and Larsen, J., 2025, Does the Lost Jim lava flow (Alaska) really preserve evidence of interaction with permafrost?: Journal of Volcanology and Geothermal Research, v. 464, 108347, 12 p., https://doi.org/10.1016/j.jvolgeores.2025.108347.","productDescription":"108347, 12 p.","ipdsId":"IP-156249","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488269,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108347","text":"Publisher Index Page"},{"id":485838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lost Jim lava flow","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -163.99392503271278,\n 65.97766449153795\n ],\n [\n -163.99392503271278,\n 65.7063086880865\n ],\n [\n -162.3815948765932,\n 65.7063086880865\n ],\n [\n -162.3815948765932,\n 65.97766449153795\n ],\n [\n -163.99392503271278,\n 65.97766449153795\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"464","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":936886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coombs, William M. 0000-0003-2099-1676","orcid":"https://orcid.org/0000-0003-2099-1676","contributorId":355121,"corporation":false,"usgs":false,"family":"Coombs","given":"William M.","affiliations":[{"id":35079,"text":"Durham University, Durham, UK","active":true,"usgs":false}],"preferred":false,"id":936887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rader, Erika 0000-0001-8205-3461","orcid":"https://orcid.org/0000-0001-8205-3461","contributorId":331813,"corporation":false,"usgs":false,"family":"Rader","given":"Erika","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":936888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Jessica 0000-0003-1171-129X","orcid":"https://orcid.org/0000-0003-1171-129X","contributorId":242808,"corporation":false,"usgs":false,"family":"Larsen","given":"Jessica","email":"","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":936889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266571,"text":"70266571 - 2025 - Field and laboratory evaluations of visible light as a cue for guiding downstream-migrating juvenile Sea Lamprey","interactions":[],"lastModifiedDate":"2025-05-09T14:09:18.996832","indexId":"70266571","displayToPublicDate":"2025-04-16T08:57:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Field and laboratory evaluations of visible light as a cue for guiding downstream-migrating juvenile Sea Lamprey","docAbstract":"
Objective

We evaluated white light as a potential guidance cue for juvenile Sea Lamprey Petromyzon marinus in a natural setting as well as the effect of water velocity (0.25-, 0.50-, 0.75-, and 1.0-m/s test velocities) on light guidance behavior in a controlled laboratory flume, and characterized emigration timing and movement rates in a small stream (∼10 m wide and 0.7 m deep).

Methods

Behaviors and rates of downstream movement were monitored using PIT telemetry in both studies.

Results

In the field study, downstream movement by juveniles released during October 30–November 27 appeared to be cued by precipitation-induced flow events when water temperatures ranged between 4°C and 8°C. Juveniles expressed lateral attraction to a short, bank-mounted linear light array, but the guidance effect was not strong or consistent between bank light locations. Downstream movement rates decreased slightly when juveniles were exposed to the light cue. In the laboratory flume experiment, at water velocities of 0.25 and 0.75 m/s, lamprey were 2.8 and 3.3 times more likely to be detected at antennas along a wall with a linear light array compared with other antennas across the width of the flume. Significant changes in distribution were detected farther upstream in the flume during 0.25- and 0.50-m/s water velocity trials compared with 0.75-m/s trials. Further, the rate of downstream movement through the length of the flume decreased under artificial lighting compared with dark controls under the 0.25- and 0.75-m/s velocity conditions.

Conclusions

The results suggest lamprey exhibit a behavioral response to the light cue in both lab and field, but water velocity influences how effectively juveniles can respond to light cues.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf008","usgsCitation":"Haro, A., Miehls, S.M., Johnson, N.S., and Wagner, C., 2025, Field and laboratory evaluations of visible light as a cue for guiding downstream-migrating juvenile Sea Lamprey: Transactions of the American Fisheries Society, v. 154, no. 2, p. 192-204, https://doi.org/10.1093/tafafs/vnaf008.","productDescription":"13 p.","startPage":"192","endPage":"204","ipdsId":"IP-170884","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf008","text":"Publisher Index Page"},{"id":485638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Sawmill River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.56981061900598,\n 42.5493224145923\n ],\n [\n -72.56981061900598,\n 42.518821035699915\n ],\n [\n -72.50511391066819,\n 42.510052118703726\n ],\n [\n -72.52369180676537,\n 42.5493224145923\n ],\n [\n -72.56981061900598,\n 42.5493224145923\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":936578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936579,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936580,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, C. Michael","contributorId":83019,"corporation":false,"usgs":true,"family":"Wagner","given":"C. Michael","affiliations":[],"preferred":false,"id":936581,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268972,"text":"70268972 - 2025 - Identifying precursors and tracking pulses of magma ascent in multidisciplinary data during the 2018–2023 phreatomagmatic eruption at Semisopochnoi Island, Alaska","interactions":[],"lastModifiedDate":"2025-07-11T13:56:07.175736","indexId":"70268972","displayToPublicDate":"2025-04-16T08:51:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Identifying precursors and tracking pulses of magma ascent in multidisciplinary data during the 2018–2023 phreatomagmatic eruption at Semisopochnoi Island, Alaska","docAbstract":"

The 2018–2023 phreatomagmatic eruptions at Semisopochnoi Island, Alaska produced abundant long-period (LP) seismicity, harmonic and broadband tremor, and explosion signals over several well-monitored periods of eruption and quiescence. The corresponding dataset provides an excellent opportunity to investigate precursory and syn-eruptive geophysical signals of long-lived phreatomagmatic eruptions using multiparameter observations. We generated explosion and LP event catalogs through novel implementations of the REDPy (Hotovec-Ellis, 2024) repeating event detector in mid-2021 following a network upgrade and the onset of a new phase of the eruption. The hundreds of detected explosions show a high degree of infrasound waveform similarity over more than a year, indicating a repeating source mechanism likely associated with explosive magma-water interaction. The seismic LP catalog shows that events began over a month prior to renewed explosive activity at the beginning of August 2021, and that lower frequency index (FI) LPs were generated in the week prior to the onset of explosions. We applied a recently developed machine learning tool (VOISS-Net, Tan et al., 2024) to catalog abundant broadband and harmonic seismic tremor recorded before and during the renewed explosive activity, along with LPs and explosions. The tremor catalogs complement the LP and explosion catalogs by filling out the seismic sequence with the dominant signal types. Together, these catalogs reveal a seismic sequence of renewed unrest that started with several weeks of LP events, followed by LPs with lower FI values and harmonic tremor in the days prior to explosive activity, and finally the onset of discrete explosions and broadband eruption tremor. We interpret this sequence as the ascent of a new pulse of magma that first interacted with the hydrothermal/groundwater system to produce LPs, followed by harmonic tremor, and that ultimately drove explosive magma-water interactions and periods of continuous ash emissions. The 2021 seismic sequence, in combination with long-term records of satellite SO2 emissions, deformation from interferometric synthetic aperture radar (InSAR) analysis, ash sample analysis, infrasound, and volcano tectonic seismicity, allows us to interpret the entire 9-year period of unrest and eruption that began with an intrusion and earthquake swarm in 2014.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2025.108329","usgsCitation":"Lyons, J.J., Tan, D., Angarita, M., Loewen, M.W., Lopez, T., Grapenthin, R., Hotovec-Ellis, A.J., Fee, D., and Haney, M.M., 2025, Identifying precursors and tracking pulses of magma ascent in multidisciplinary data during the 2018–2023 phreatomagmatic eruption at Semisopochnoi Island, Alaska: Journal of Volcanology and Geothermal Research, v. 463, 108329, 20 p., https://doi.org/10.1016/j.jvolgeores.2025.108329.","productDescription":"108329, 20 p.","ipdsId":"IP-176345","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":492468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2025.108329","text":"Publisher Index Page"},{"id":492125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Semisopochnoi Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.45548299275004,\n 52.040459864240546\n ],\n [\n 179.45548299275004,\n 51.86149191597676\n ],\n [\n 179.7966363352781,\n 51.86149191597676\n ],\n [\n 179.7966363352781,\n 52.040459864240546\n ],\n [\n 179.45548299275004,\n 52.040459864240546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"463","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, John J. 0000-0001-5409-1698 jlyons@usgs.gov","orcid":"https://orcid.org/0000-0001-5409-1698","contributorId":5394,"corporation":false,"usgs":true,"family":"Lyons","given":"John","email":"jlyons@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tan, Darren 0000-0001-8210-6041","orcid":"https://orcid.org/0000-0001-8210-6041","contributorId":304978,"corporation":false,"usgs":false,"family":"Tan","given":"Darren","email":"","affiliations":[{"id":66199,"text":"Geophysical Institute and Alaska Volcano Observatory, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":942754,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angarita, Mario","contributorId":215655,"corporation":false,"usgs":false,"family":"Angarita","given":"Mario","email":"","affiliations":[{"id":37066,"text":"OVSICORI","active":true,"usgs":false}],"preferred":false,"id":942755,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loewen, Matthew W. 0000-0002-5621-285X","orcid":"https://orcid.org/0000-0002-5621-285X","contributorId":213321,"corporation":false,"usgs":true,"family":"Loewen","given":"Matthew","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":942756,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Taryn","contributorId":237830,"corporation":false,"usgs":false,"family":"Lopez","given":"Taryn","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":942757,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grapenthin, Ronni","contributorId":257035,"corporation":false,"usgs":false,"family":"Grapenthin","given":"Ronni","email":"","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":942758,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hotovec-Ellis, Alicia J. 0000-0003-1917-0205","orcid":"https://orcid.org/0000-0003-1917-0205","contributorId":211785,"corporation":false,"usgs":true,"family":"Hotovec-Ellis","given":"Alicia","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":942759,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fee, David 0000-0002-0936-9977","orcid":"https://orcid.org/0000-0002-0936-9977","contributorId":267231,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":942760,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haney, Matthew M. 0000-0003-3317-7884 mhaney@usgs.gov","orcid":"https://orcid.org/0000-0003-3317-7884","contributorId":172948,"corporation":false,"usgs":true,"family":"Haney","given":"Matthew","email":"mhaney@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":942761,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70270107,"text":"70270107 - 2025 - What is the lowest latitude of discrete aurorae during superstorms?","interactions":[],"lastModifiedDate":"2025-08-11T15:47:09.174324","indexId":"70270107","displayToPublicDate":"2025-04-16T08:41:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"What is the lowest latitude of discrete aurorae during superstorms?","docAbstract":"

From a survey of published accounts of visual sightings of aurorae, a compilation is presented of the lowest identified geomagnetic latitude at which discrete aurorae were seen at local zenith during magnetic storms having intensities with maximum −Dst > 200 nT. The compilation includes data for the superstorms of 2 September 1859, 4 February 1872, and 15 May 1921. A statistical model is developed representing the equatorward boundary of discrete aurorae versus storm intensity. The model indicates that a once-per-century storm would likely induce discrete aurorae at zenith down to a geomagnetic latitude of 34°. Insofar as aurorae can be taken as a proxy for electrojet currents, such a storm would expose many nighttime electric-power systems, in the contiguous United States or Europe, to high levels of geomagnetic disturbance. A Carrington-class storm would induce discrete aurorae down to 24°. These exposures are much greater than those indicated in recent numerical simulations of extreme magnetic storms. Using the model to infer storm intensity from reports of low-latitude aurorae, a storm on 28 August 1859, likely had maximum −Dst = 673 nT. That this storm occurred just a few days before the Carrington storm of 2 September (maximum −Dst = 964 nT) deserves attention. A storm that occurred on 17 September 1770 is estimated to have had maximum −Dst = 928 nT. The vision of Ezekiel could have been inspired by aurorae from a storm with maximum −Dst = 550 nT.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024SW004286","usgsCitation":"Love, J.J., Mann, I., Qvick, T., and Mursula, K., 2025, What is the lowest latitude of discrete aurorae during superstorms?: Space Weather, v. 23, no. 4, e2024SW004286, 22 p., https://doi.org/10.1029/2024SW004286.","productDescription":"e2024SW004286, 22 p.","ipdsId":"IP-173082","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":494191,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024sw004286","text":"Publisher Index Page"},{"id":493936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Ian R.","contributorId":359451,"corporation":false,"usgs":false,"family":"Mann","given":"Ian R.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":945474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qvick, Timo","contributorId":359452,"corporation":false,"usgs":false,"family":"Qvick","given":"Timo","affiliations":[{"id":82926,"text":"University of Oulu","active":true,"usgs":false}],"preferred":false,"id":945475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mursula, Kalevi","contributorId":344048,"corporation":false,"usgs":false,"family":"Mursula","given":"Kalevi","affiliations":[{"id":82280,"text":"Space Climate Group, Space Physics and Astronomy Research Unit, University of Oulu, PO Box 3000, 90014 Oulu, Finland","active":true,"usgs":false}],"preferred":false,"id":945476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265880,"text":"70265880 - 2025 - April 2025","interactions":[],"lastModifiedDate":"2025-09-19T13:07:11.821879","indexId":"70265880","displayToPublicDate":"2025-04-16T08:41:08","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18358,"text":"Flow Photo Explorer","active":true,"publicationSubtype":{"id":30}},"title":"April 2025","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Fair, J.H., 2025, April 2025: Flow Photo Explorer, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-178021","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":484673,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://content.govdelivery.com/accounts/USDOIGS/bulletins/3db2be1","linkFileType":{"id":5,"text":"html"}},{"id":495703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933799,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70267815,"text":"70267815 - 2025 - Lithium from magma to mine in an early Yellowstone hotspot caldera","interactions":[],"lastModifiedDate":"2025-07-10T14:50:14.042773","indexId":"70267815","displayToPublicDate":"2025-04-16T08:37:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Lithium from magma to mine in an early Yellowstone hotspot caldera","docAbstract":"

Renewable energy technologies rely on the extraction of metals not historically in high demand, such as lithium (Li), for which ore deposit models are incompletely understood. One of the world’s largest Li deposits is hosted in lake sediments of the 16.4 Ma McDermitt caldera, which formed during the early stages of Yellowstone hotspot volcanism in the western United States. Eruptive and posteruptive mobility of Li are major challenges in elucidating deposit formation. Melt inclusions preserved in quartz crystals provide a means to assess pre-eruptive magmatic Li contents. Concentrations of Li determined by ion microprobe for melt inclusions in a McDermitt rhyolite lava are 400−1350 ppm, compared to 20−70 ppm Li in matrix rhyolite glasses. Synthesis with melt inclusion data for eight additional calderas demonstrates a recurrence of Li-rich rhyolitic magmas (200−2000 ppm Li) in the western part of the Yellowstone hotspot track. However, unlike the multicyclic caldera complexes with overlapping fault networks that may have compromised Li retention, the McDermitt caldera remained a closed hydrologic system throughout its evolution. Modeling indicates 100 km3 of resurgent magma could yield 25−150 Mt Li in a magmatic fluid and supports accumulation of Li-rich magmatic fluid in a closed intracaldera lake, followed by evaporative concentration and sequestration of Li within clay minerals to generate the McDermitt deposit.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53140.1","usgsCitation":"Watts, K., 2025, Lithium from magma to mine in an early Yellowstone hotspot caldera: Geology, v. 53, no. 7, p. 592-596, https://doi.org/10.1130/G53140.1.","productDescription":"5 p.","startPage":"592","endPage":"596","ipdsId":"IP-167363","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":489475,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":490666,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g53140.1","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Nevada, Oregon, Wyoming","otherGeospatial":"Yellowstone hotspot caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.21830246150877,\n 45.126578896874065\n ],\n [\n -119.21693278725452,\n 45.126578896874065\n ],\n [\n -119.21693278725452,\n 41.23242701033587\n ],\n [\n -114.17059390138817,\n 40.859473447854995\n ],\n [\n -114.02540645163282,\n 42.00890055289802\n ],\n [\n -110.44161856797778,\n 41.981517173869975\n ],\n [\n -110.21830246150877,\n 45.126578896874065\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":939006,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70266349,"text":"70266349 - 2025 - The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset","interactions":[],"lastModifiedDate":"2025-05-07T13:11:44.831779","indexId":"70266349","displayToPublicDate":"2025-04-16T08:13:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset","docAbstract":"

Frequent multispectral observations of sufficient spatial detail from well-calibrated spaceborne sensors are needed for large-scale terrestrial monitoring. To meet this demand, the NASA Harmonized Landsat and Sentinel-2 (HLS) project was initiated in early 2010s to produce comparable 30-m surface reflectance from the US Landsat 8 Operational Land Imager (OLI) and the European Copernicus Sentinel-2A MultiSpectral Instrument (MSI), and currently from two OLI and two MSI sensors, by applying atmospheric correction to top-of-atmosphere (TOA) reflectance, masking out clouds and cloud shadows, normalizing bi-directional reflectance view angle effects, adjusting for sensor bandpass differences with the OLI as the reference, and providing the harmonized data in a common grid. Several versions of HLS dataset have been produced in the last few years. The recent improvements on almost all the harmonization algorithms had prompted a production of a new HLS dataset, tagged Version 2.0, which was completed in the summer of 2023 and for the first time takes on a global coverage (except for Antarctica). The HLS V2.0 data record starts in April 2013, two months after Landsat 8 launch. For 2022, the first whole year two Landsat and two Sentinel-2 satellites were available, HLS provides a global median of 66 cloud-free observations over land, substantially more than from a single sensor. This paper describes the HLS algorithm improvements and assesses the harmonization efficacy by examining how the reflectance difference between contemporaneous Landsat and Sentinel-2 observations was successively reduced by each harmonization step. The assessment was conducted on 545 pairs of globally distributed same-day Landsat/Sentinel-2 images from 2021 to 2022. Compared to the TOA data, the HLS atmospheric correction slightly increased the reflectance relative difference between Landsat and Sentinel-2 for most of the spectral bands, especially for the two blue bands and the green bands. The subsequent bi-directional reflectance view angle effect normalization effectively reduced the between-sensor reflectance difference present in the atmospherically corrected data for all the spectral bands, and notably to a level below the TOA differences for the red, near-infrared (NIR), and the two shortwave infrared (SWIR) bands. The bandpass adjustment only had a modest effect on reducing the between-sensor reflectance difference. In the final HLS products, the same-day reflectance difference between Landsat and Sentinel-2 was below 4.2% for the red, NIR, and the two SWIR bands, all smaller than the difference in the TOA data. However, the between-sensor differences for the two blue and the green bands remain slightly higher than in TOA data, and this reflects the difficulty in accurately correcting for atmospheric effects in the shorter wavelength visible bands. The data consistency evaluation on a suite of commonly used vegetation indices (VI) calculated from the HLS V2.0 reflectance data showed that the between-sensor VI difference is below 4.5% for most of the indices. These results suggest that the harmonization is robust and the HLS V2.0 data are adequate for quantitative terrestrial applications.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2025.114723","usgsCitation":"Ju, J., Zhou, Q., Freitag, B., Roy, D., Zhang, H., Sridhar, M., Mandel, J., Arab, S., Schmidt, G.L., Crawford, C., Gascon, F., Strobl, P., Masek, J.G., and Neigh, C., 2025, The Harmonized Landsat and Sentinel-2 version 2.0 surface reflectance dataset: Remote Sensing of Environment, v. 324, 114723, 17 p., https://doi.org/10.1016/j.rse.2025.114723.","productDescription":"114723, 17 p.","ipdsId":"IP-178601","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488127,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2025.114723","text":"Publisher Index Page"},{"id":485453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"324","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ju, Junchang","contributorId":354466,"corporation":false,"usgs":false,"family":"Ju","given":"Junchang","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":935736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Qiang","contributorId":354468,"corporation":false,"usgs":false,"family":"Zhou","given":"Qiang","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":935737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freitag, Brian","contributorId":354470,"corporation":false,"usgs":false,"family":"Freitag","given":"Brian","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":935738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, David P.","contributorId":294404,"corporation":false,"usgs":false,"family":"Roy","given":"David P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":935739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Hankui","contributorId":354472,"corporation":false,"usgs":false,"family":"Zhang","given":"Hankui","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":935740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sridhar, Madhu","contributorId":350383,"corporation":false,"usgs":false,"family":"Sridhar","given":"Madhu","affiliations":[{"id":83729,"text":"University of Alabama Huntsville","active":true,"usgs":false}],"preferred":false,"id":935741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mandel, John","contributorId":354474,"corporation":false,"usgs":false,"family":"Mandel","given":"John","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":935742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":354476,"corporation":false,"usgs":true,"family":"Arab","given":"Saeed","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":935743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmidt, Gail L. 0000-0002-9684-8158 gschmidt@usgs.gov","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":3475,"corporation":false,"usgs":true,"family":"Schmidt","given":"Gail","email":"gschmidt@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":935744,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":935745,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gascon, Ferran","contributorId":173965,"corporation":false,"usgs":false,"family":"Gascon","given":"Ferran","email":"","affiliations":[{"id":27013,"text":"European Space Agency, Belgium","active":true,"usgs":false}],"preferred":false,"id":935746,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Strobl, Peter A.","contributorId":354478,"corporation":false,"usgs":false,"family":"Strobl","given":"Peter A.","affiliations":[{"id":54481,"text":"European Commission","active":true,"usgs":false}],"preferred":false,"id":935747,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Masek, Jeffrey G.","contributorId":197725,"corporation":false,"usgs":false,"family":"Masek","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":935748,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Neigh, Christopher S.R.","contributorId":354481,"corporation":false,"usgs":false,"family":"Neigh","given":"Christopher S.R.","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":935749,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70265860,"text":"70265860 - 2025 - Development of species-specific primers for the identification of Atlantic and shortnose sturgeons","interactions":[],"lastModifiedDate":"2025-04-28T15:15:19.546759","indexId":"70265860","displayToPublicDate":"2025-04-16T08:01:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of species-specific primers for the identification of Atlantic and shortnose sturgeons","docAbstract":"

Atlantic (Acipenser oxyrinchus oxyrinchus) and shortnose sturgeon (Acipenser brevirostrum) are broadly distributed along the Atlantic Coast of North America, where they use rivers, estuaries, and coastal habitats. In order to support management under the U.S. Endangered Species Act, it is important to understand when and where these fish occur. However, this presents a challenge as the two taxa are sometimes misidentified and some life stages (e.g., eggs) are challenging to identify with confidence. In this study, we used cytochrome b sequences to develop molecular primers to confirm the identity of shortnose and Atlantic sturgeon samples. We tested these primers using reference DNA samples for these two species. The results suggested that the primers were able to positively identify and distinguish Atlantic and shortnose sturgeon. The accuracy of the Atlantic sturgeon primers was 95.34%, whereas the accuracy of the shortnose sturgeon primers was 90.7%. Even though there were some individuals that were not positively identified as their corresponding species (false negatives), we did not observe any false positives. Our paper does not aim to develop eDNA markers; rather, the objective of our study was to create species-specific, unlabeled, and cost-effective primers which can be amplified using conventional PCR. The amplification product can be observed in a 2% agarose gel run through electrophoresis. This entire procedure is relatively inexpensive and involves basic instruments found in most conservation genetics laboratories.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s12686-024-01376-0","usgsCitation":"Hyde, M., and Kazyak, D.C., 2025, Development of species-specific primers for the identification of Atlantic and shortnose sturgeons: Conservation Genetics Resources, v. 17, p. 59-65, https://doi.org/10.1007/s12686-024-01376-0.","productDescription":"7 p.","startPage":"59","endPage":"65","ipdsId":"IP-159855","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":484679,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyde, Miluska Olivera 0000-0003-1465-3048","orcid":"https://orcid.org/0000-0003-1465-3048","contributorId":347141,"corporation":false,"usgs":true,"family":"Hyde","given":"Miluska Olivera","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":933769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":933770,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70265441,"text":"70265441 - 2025 - Anomalous shear stress variation in wet granular medium: Implications for landslide lateral faults","interactions":[],"lastModifiedDate":"2025-04-07T14:59:19.926401","indexId":"70265441","displayToPublicDate":"2025-04-16T07:55:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Anomalous shear stress variation in wet granular medium: Implications for landslide lateral faults","docAbstract":"

Landslide assessments typically focus on the mechanical properties of the basal shear zone, but lateral faults are frequently overlooked, possibly due to their lower normal stresses and variably saturated conditions. Using double-cylinder shear experiments on wet granular systems as analogs for landslide lateral faults, we observe anomalous shear stress variations with fluid volume fractions, defying an expected unimodal relationship associated with capillary cohesion. At low fluid volume fractions, shear strength weakens as the wet grain assembly experiences reduced lateral pressure and increased boundary slip. This boundary slip subsequently vanishes, with an abrupt strengthening due to the dilation of the grain assembly against fluid surface tension as saturation approaches. Strike-slip motion and confinement in this system explain the strength anomaly, highlighting a critical role of lateral faults in landslide stability, particularly in cases where dynamics cannot be adequately explained by monitored pore-water pressure or basal friction.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113816","usgsCitation":"Chang, C., Ono, K., Schulz, W.H., and Yamaguchi, T., 2025, Anomalous shear stress variation in wet granular medium: Implications for landslide lateral faults: Geophysical Research Letters, v. 52, no. 7, e2024GL113816, 11 p., https://doi.org/10.1029/2024GL113816.","productDescription":"e2024GL113816, 11 p.","ipdsId":"IP-172400","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":488564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113816","text":"Publisher Index Page"},{"id":484245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Chang, Chengrui","contributorId":353010,"corporation":false,"usgs":false,"family":"Chang","given":"Chengrui","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":932733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ono, Kohei","contributorId":353012,"corporation":false,"usgs":false,"family":"Ono","given":"Kohei","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":932734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, William H. 0000-0001-9980-3580 wschulz@usgs.gov","orcid":"https://orcid.org/0000-0001-9980-3580","contributorId":942,"corporation":false,"usgs":true,"family":"Schulz","given":"William","email":"wschulz@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yamaguchi, Tetsuo","contributorId":353015,"corporation":false,"usgs":false,"family":"Yamaguchi","given":"Tetsuo","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":932736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267832,"text":"70267832 - 2025 - Mercury trophic transfer to a freshwater biosentinel: Quantifying controlled bioaccumulation in larval dragonflies","interactions":[],"lastModifiedDate":"2025-07-10T14:48:56.758985","indexId":"70267832","displayToPublicDate":"2025-04-16T07:53:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Mercury trophic transfer to a freshwater biosentinel: Quantifying controlled bioaccumulation in larval dragonflies","docAbstract":"Mercury bioavailability and biomagnification in freshwater systems can be highly variable; thus, tissue data from biosentinel taxa can be useful to assess risk. Dragonfly larvae have emerged as biological indicators of mercury impairment, yet their mercury biodynamics over time and across exposure levels are not well understood. Evaluating these attributes using controlled experimental approaches is an important step to validate larval dragonflies as biosentinels for spatial and temporal trends in mercury risk. We conducted an experimental series quantifying methylmercury trophic transfer from dosed prey to predatory dragonfly larvae at environmentally relevant concentrations. Dragonfly total mercury concentrations increased proportionally by factors of 2.7 to 4.2 with each doubling of prey methylmercury concentration, responding to dietary treatments in 7–28 days and reaching equilibrium in as little as 40 days, supporting their utility to indicate changing mercury exposure regimes. Dosed dragonflies biomagnified methylmercury by factors of 1.0 ± 0.1 to 3.4 ± 0.2 relative to their prey, and biomagnification efficiency decreased by over 40% for each doubling of prey methylmercury concentration. Dragonfly development had dose-dependent effects on bioaccumulation: mercury concentrations increased with growth and decreased with age in higher exposure treatments, whereas they decreased with growth and increased with age in lower exposure treatments. Bioaccumulation also varied taxonomically; within treatments, mean mercury concentrations for each genus varied up to 10% from family-level means. Dragonfly sex, size, and body condition did not significantly affect mercury concentrations. These results help validate and expand the utility of dragonfly larvae as biosentinels to monitor mercury risk and better protect wildlife and human health.","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf100","usgsCitation":"Sinclair, C.A., Garcia, T.S., Vasta, R., and Eagles-Smith, C., 2025, Mercury trophic transfer to a freshwater biosentinel: Quantifying controlled bioaccumulation in larval dragonflies: Environmental Toxicology and Chemistry, v. 44, no. 7, p. 1824-1834, https://doi.org/10.1093/etojnl/vgaf100.","productDescription":"11 p.","startPage":"1824","endPage":"1834","ipdsId":"IP-172263","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":490664,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf100","text":"Publisher Index Page"},{"id":489458,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","county":"Benton County","otherGeospatial":"William L. Finley National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.38434279122359,\n 44.500601858064925\n ],\n [\n -123.38434279122359,\n 44.43616065782959\n ],\n [\n -123.30603623577454,\n 44.43616065782959\n ],\n [\n -123.30603623577454,\n 44.500601858064925\n ],\n [\n -123.38434279122359,\n 44.500601858064925\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Sinclair, Cailin A","contributorId":340137,"corporation":false,"usgs":false,"family":"Sinclair","given":"Cailin","email":"","middleInitial":"A","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":939073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garcia, Tiffany S.","contributorId":171591,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":939074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasta, Rachel","contributorId":356293,"corporation":false,"usgs":false,"family":"Vasta","given":"Rachel","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":939075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":939076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}