he North American porcupine (Erethizon dorsatum) is widely distributed throughout many ecosystems on the continent from northern Mexico to the Arctic Ocean, except for the southeastern portion of the United States. Habitats include the arid Desert Southwest region where modern records are generally sparse. The paleogeographic range in the Desert Southwest is not unlike the modern distribution of Erethizon, with some exceptions. Although there are early Pleistocene records of Erethizon for southern California, no late Pleistocene records (Rancholabrean North American Land Mammal Age [NALMA]) are known for Imperial, Inyo, Riverside, or San Bernardino Counties in southern California or in Mexico. This is surprising given late-Pleistocene records in Arizona, Nevada, and New Mexico and modern records from southern California and Mexico. Pleistocene habitats for porcupines were similar to those occupied today, just at different elevations due to differing climates. Modern preferred habitats in the Desert Southwest include conifer-clad high-elevation areas and associated pinyon pine / juniper belts, and occasionally riparian corridors in desert environments. The overall rarity of porcupines today in arid parts of the Desert Southwest is likely due to the combination of increasing aridity in the region during the Holocene, past persecution by humans, and increasing predator populations.
","language":"English","publisher":"Brigham Young University","usgsCitation":"Lovich, J.E., and Jefferson, G.T., 2025, Pleistocene porcupine (Erethizontidae) records in arid southwestern North America and comparisons with the modern distribution of Erethizon dorsatum in southern California and Arizona: Western North American Naturalist, v. 85, 6, 24 p.","productDescription":"6, 24 p.","ipdsId":"IP-151905","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498068,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol85/iss4/6/"}],"country":"United States","state":"Arizona, California","volume":"85","edition":"4","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jefferson, George T.","contributorId":364587,"corporation":false,"usgs":false,"family":"Jefferson","given":"George","middleInitial":"T.","affiliations":[{"id":86855,"text":"Department of Parks and Recreation, Colorado Desert District, Stout Research Center, Borrego Springs, California 92004","active":true,"usgs":false}],"preferred":false,"id":952915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273662,"text":"70273662 - 2025 - Moose survival and habitat‐associated risk of endoparasites","interactions":[],"lastModifiedDate":"2026-01-22T16:05:29.482923","indexId":"70273662","displayToPublicDate":"2025-12-29T09:56:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moose survival and habitat‐associated risk of endoparasites","docAbstract":"Parasite-induced morbidity and mortality can alter the trajectories of incidental host populations. Yet, parasites rarely act in isolation and may be one of a multitude of biotic and abiotic stressors that collectively shape mortality risk in vertebrate populations. We quantified sources of mortality in a low-density population of moose (Alces alces) in New York State and investigated factors including parasite infection, nutritional limitation, and thermal stress influencing mortality risk in calf moose. We observed high rates of annual survival (0.81–0.92) in adult (n = 25) and calf (n = 27) moose monitored 2015–2018 and 2022–2024, respectively. The majority of cause-specific mortality was attributed to disease induced by giant liver fluke (Fascioloides magna; 75% in adults, 67% in calves). Calf mortality risk increased by 72% for every unit increase in giant liver fluke infection risk, measured as cumulative monthly proportion of wetlands used by moose, and decreased by 16% with each additional unit of nutritional energy available. The combination of flukes, coinfecting parasites, and available nutritional energy is important to calf survival in this population, highlighting the importance of managing multiple stressors for species conservation, although the effects are hard to disentangle given the high rates of survival observed. Identifying causes of mortality and mechanisms underlying increased mortality risk contributes to the continued conservation of moose in fluctuating populations and highlights the importance of managing parasite-induced disease.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72721","usgsCitation":"Grauer, J.A., Frair, J.L., Schuler, K.L., Lejeune, M., Kramer, D.W., and Fuller, A.K., 2025, Moose survival and habitat‐associated risk of endoparasites: Ecology and Evolution, v. 15, no. 12, e72721, 13 p., https://doi.org/10.1002/ece3.72721.","productDescription":"e72721, 13 p.","ipdsId":"IP-174117","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72721","text":"Publisher Index Page"},{"id":498845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.95550657922735,\n 44.95159248774067\n ],\n [\n -74.95550657922735,\n 43.58240923383917\n ],\n [\n -73.37197044848568,\n 43.58240923383917\n ],\n [\n -73.37197044848568,\n 44.95159248774067\n ],\n [\n -74.95550657922735,\n 44.95159248774067\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":365370,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer","middleInitial":"A.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frair, Jacqueline L.","contributorId":365371,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","middleInitial":"L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuler, Krysten L.","contributorId":365372,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lejeune, Manigandan","contributorId":359243,"corporation":false,"usgs":false,"family":"Lejeune","given":"Manigandan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":954231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kramer, David W.","contributorId":365373,"corporation":false,"usgs":false,"family":"Kramer","given":"David","middleInitial":"W.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":954233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273427,"text":"70273427 - 2025 - Status of Clear Lake Hitch in Lower Blue Lake, Lake County, California","interactions":[],"lastModifiedDate":"2026-01-13T15:57:41.337649","indexId":"70273427","displayToPublicDate":"2025-12-29T09:51:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10946,"text":"California Fish and Wildlife Journal","active":true,"publicationSubtype":{"id":10}},"title":"Status of Clear Lake Hitch in Lower Blue Lake, Lake County, California","docAbstract":"No abstract available.
","language":"English","publisher":"California Department of Fish and Wildlife","doi":"10.51492/cfwj.111.20","usgsCitation":"Buxton, J., Wulff, M.L., Violette, V.L., Palm, D.L., Young, M.J., and Feyrer, F., 2025, Status of Clear Lake Hitch in Lower Blue Lake, Lake County, California: California Fish and Wildlife Journal, v. 111, e20, 10 p., https://doi.org/10.51492/cfwj.111.20.","productDescription":"e20, 10 p.","ipdsId":"IP-173064","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":498697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.51492/cfwj.111.20","text":"Publisher Index Page"},{"id":498588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Lake County","otherGeospatial":"Lower Blue Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.00399260265601,\n 39.16742829767526\n ],\n [\n -123.00399260265601,\n 39.15678416629916\n ],\n [\n -122.99432648402616,\n 39.15678416629916\n ],\n [\n -122.99432648402616,\n 39.16742829767526\n ],\n [\n -123.00399260265601,\n 39.16742829767526\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"111","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Buxton, Jordan Mae-Jean 0000-0002-7233-0944","orcid":"https://orcid.org/0000-0002-7233-0944","contributorId":316288,"corporation":false,"usgs":true,"family":"Buxton","given":"Jordan Mae-Jean","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Violette, Veronica L. 0000-0002-7390-4655 vviolette@usgs.gov","orcid":"https://orcid.org/0000-0002-7390-4655","contributorId":222824,"corporation":false,"usgs":true,"family":"Violette","given":"Veronica","email":"vviolette@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Palm, Danielle L. 0000-0003-3045-5287","orcid":"https://orcid.org/0000-0003-3045-5287","contributorId":265762,"corporation":false,"usgs":true,"family":"Palm","given":"Danielle","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feyrer, Frederick 0000-0003-1253-2349","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":211771,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953658,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274029,"text":"70274029 - 2025 - Watershed forest cover and habitat restoration can offset some negative impacts of climate change on freshwater fishes and mussels","interactions":[],"lastModifiedDate":"2026-02-20T16:55:53.20907","indexId":"70274029","displayToPublicDate":"2025-12-26T09:50:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16703,"text":"PLOS Climate","active":true,"publicationSubtype":{"id":10}},"title":"Watershed forest cover and habitat restoration can offset some negative impacts of climate change on freshwater fishes and mussels","docAbstract":"Many species of freshwater fishes and freshwater mussels have experienced population declines over the past century due to threats including habitat degradation, overexploitation, species invasion, and climate change. Management actions may offset climate-related changes to biodiversity, although identifying appropriate strategies is challenging. Our goal was to identify the impacts of climate change on freshwater biota (i.e., fish and mussel) distribution and management actions that may offset the climate change impacts across the northeastern United States. We used land use, geography, stream temperature, and streamflow variables to predict species distribution in a baseline scenario, climate change scenario, and several climate change plus land use management scenarios. We found climate change negatively impacted (i.e., reduced the probability of occurrence of) coldwater fishes and reduced the relative occurrence probability of fluvial specialist and coolwater fishes compared to other species. Increasing watershed forest cover best offset these negative impacts and minimized the predicted transition from coldwater fish dominance to warmwater fish dominance in coldwater habitats; however, no intervention fully offset the negative impacts of climate change on vulnerable fish groups (i.e., coldwater and fluvial specialist fishes). Climate change negatively impacted all vulnerable groups of mussels (e.g., lotic species, drying intolerant) and mussel species richness. Combining multiple management interventions (e.g., increase forest cover, dam removal, etc.) had the greatest potential to offset the negative impacts of climate change for freshwater mussels and fishes. This study provides managers a comparison of management interventions across a landscape to combat the impacts of climate change on biota in streams and rivers.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pclm.0000742","usgsCitation":"Rogers, J.B., DiRenzo, G.V., Roy, A.H., Carmignani, J., O’Brien, R.S., Quiñones, R.M., Richards, T., 2025, Watershed forest cover and habitat restoration can offset some negative impacts of climate change on freshwater fishes and mussels: PLOS Climate, v. 4, no. 12, e0000742, 29 p., https://doi.org/10.1371/journal.pclm.0000742.","productDescription":"e0000742, 29 p.","ipdsId":"IP-182150","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pclm.0000742","text":"Publisher Index Page"},{"id":500352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont","otherGeospatial":"northeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.55344226729666,\n 44.99179802700698\n ],\n [\n -73.59343473444298,\n 41.090513543768935\n ],\n [\n -69.55059933191644,\n 41.164342871024274\n ],\n [\n -69.64172720632452,\n 43.04155239993982\n ],\n [\n -66.87105464402323,\n 44.75557463899469\n ],\n [\n -67.950275967363,\n 47.38036747688005\n ],\n [\n -69.36016438239204,\n 47.4800358530578\n ],\n [\n -71.1276825828879,\n 45.47486977480742\n ],\n [\n -73.55344226729666,\n 44.99179802700698\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Jennifer B.","contributorId":366772,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":956213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":956214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carmignani, Jason","contributorId":360465,"corporation":false,"usgs":false,"family":"Carmignani","given":"Jason","affiliations":[{"id":86008,"text":"Natural Heritage and Endangered Species Program","active":true,"usgs":false}],"preferred":false,"id":956216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Rebecca S.M.","contributorId":366774,"corporation":false,"usgs":false,"family":"O’Brien","given":"Rebecca","middleInitial":"S.M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":956217,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quiñones, Rebecca M.","contributorId":366775,"corporation":false,"usgs":false,"family":"Quiñones","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956218,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richards, Todd","contributorId":359346,"corporation":false,"usgs":false,"family":"Richards","given":"Todd","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956219,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273439,"text":"70273439 - 2025 - Satellite radar advances could transform global snow monitoring","interactions":[],"lastModifiedDate":"2026-02-24T16:37:56.145292","indexId":"70273439","displayToPublicDate":"2025-12-24T08:58:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Satellite radar advances could transform global snow monitoring","docAbstract":"The recent SnowEx campaign and the new NISAR satellite mission are lighting the way to high-resolution snowpack monitoring and improved decisionmaking in critical river basins around the world.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250476","usgsCitation":"Bonnell, R.R., Tarricone, J., Marshall, H., Deeb, E., and Vuyovich, C., 2025, Satellite radar advances could transform global snow monitoring: Eos, American Geophysical Union, v. 106, https://doi.org/10.1029/2025EO250476.","productDescription":"HTML Document","ipdsId":"IP-182669","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498698,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250476","text":"Publisher Index Page"},{"id":498589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.10482037930618,\n 48.90476173433572\n ],\n [\n -125.10482037930618,\n 36.30606434439338\n ],\n [\n -105.47833779738997,\n 36.30606434439338\n ],\n [\n -105.47833779738997,\n 48.90476173433572\n ],\n [\n -125.10482037930618,\n 48.90476173433572\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonnell, Randall Ray 0000-0002-8812-351X","orcid":"https://orcid.org/0000-0002-8812-351X","contributorId":365098,"corporation":false,"usgs":true,"family":"Bonnell","given":"Randall","middleInitial":"Ray","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":953697,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tarricone, Jack","contributorId":365099,"corporation":false,"usgs":false,"family":"Tarricone","given":"Jack","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":953698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Hans-Peter","contributorId":365100,"corporation":false,"usgs":false,"family":"Marshall","given":"Hans-Peter","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":953699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deeb, Elias","contributorId":365102,"corporation":false,"usgs":false,"family":"Deeb","given":"Elias","affiliations":[{"id":33087,"text":"Cold Regions Research and Engineering Laboratory","active":true,"usgs":false}],"preferred":false,"id":953700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vuyovich, Carrie","contributorId":365104,"corporation":false,"usgs":false,"family":"Vuyovich","given":"Carrie","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":953701,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273988,"text":"70273988 - 2025 - Elevation mediates juvenile steelhead demographic response to stream temperature and flow","interactions":[],"lastModifiedDate":"2026-02-20T22:31:11.593194","indexId":"70273988","displayToPublicDate":"2025-12-23T15:23:50","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}},"title":"Elevation mediates juvenile steelhead demographic response to stream temperature and flow","docAbstract":"Climate change alters streams by modifying flow dynamics, temperature, and biotic communities, changing the habitat where stream dwelling fish have evolved. We used snorkel survey data spanning four decades to investigate how juvenile steelhead (anadromous Oncorhynchus mykiss) counts and size structure were influenced by stream temperature and flow. Warmer temperatures were associated with lower abundance and larger fish at low elevations and with higher abundance and smaller fish at higher elevations. Low flows were related to increased abundance and smaller fish at low elevations but to decreased abundance at high elevations, suggesting that lower elevation streams, which tend to be larger, provided additional habitat during low flows. High flows were negatively related to abundance and positively related to average size, suggesting emigration of fish in younger age-classes. Overall, steelhead exhibited greater resilience to warm temperatures at high elevations and, conversely, greater resilience to low and high flows at lower elevations. Understanding how streamflow and temperature affect juvenile steelhead abundance and size structure provides insight into how climate change can affect juvenile steelhead production.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2025-0057","usgsCitation":"Vosbigian, R., Ballinger, A., Link, T.E., Copeland, T., Falcy, M.R., 2025, Elevation mediates juvenile steelhead demographic response to stream temperature and flow: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, 16 p., https://doi.org/10.1139/cjfas-2025-0057.","productDescription":"16 p.","ipdsId":"IP-176032","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2025-0057","text":"Publisher Index Page"},{"id":500381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Clearwater River basin, Salmon River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.88693697098967,\n 46.239806253101705\n ],\n [\n -116.08725001215848,\n 44.58877340680024\n ],\n [\n -113.81504145984678,\n 44.65156356442722\n ],\n [\n -113.88746821077106,\n 45.50351976892712\n ],\n [\n -114.52675806291347,\n 45.59810863893756\n ],\n [\n -114.2253382218617,\n 46.239806253101705\n ],\n [\n -115.88693697098967,\n 46.239806253101705\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vosbigian, Ryan A.","contributorId":354342,"corporation":false,"usgs":false,"family":"Vosbigian","given":"Ryan A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956005,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ballinger, Alexa","contributorId":366508,"corporation":false,"usgs":false,"family":"Ballinger","given":"Alexa","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956006,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Link, Timothy E.","contributorId":366509,"corporation":false,"usgs":false,"family":"Link","given":"Timothy","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956007,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Copeland, Timothy","contributorId":354344,"corporation":false,"usgs":false,"family":"Copeland","given":"Timothy","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":956008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falcy, Matthew Richard 0000-0002-3332-2239","orcid":"https://orcid.org/0000-0002-3332-2239","contributorId":288500,"corporation":false,"usgs":true,"family":"Falcy","given":"Matthew","email":"","middleInitial":"Richard","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956009,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273193,"text":"sir20255085 - 2025 - Using visualization science to inform the design of environmental decision-support tools—A case study of the U.S. Geological Survey Waterwatch","interactions":[],"lastModifiedDate":"2026-02-03T17:03:21.860917","indexId":"sir20255085","displayToPublicDate":"2025-12-23T10:26:04","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":"2025-5085","displayTitle":"Using Visualization Science to Inform the Design of Environmental Decision-Support Tools—A Case Study of the U.S. Geological Survey WaterWatch","title":"Using visualization science to inform the design of environmental decision-support tools—A case study of the U.S. Geological Survey Waterwatch","docAbstract":"Environmental decision-support tools are increasingly being used to serve both expert and non-expert audiences. Many existing tools are primarily expert-focused, and redesigning them can be challenging because experts and non-experts interact with tools differently, existing users may be resistant to changes, and there is little guidance on how to prioritize redesign efforts and demonstrate their efficacy. In this report, we present a case study of a user-centered redesign of an established environmental decision-support tool—the U.S. Geological Survey WaterWatch. WaterWatch supports flood, drought, and other water resource management decisions through the display of water levels at gages across the United States. Using a participatory process, we identified a functional change (replacing the existing rainbow colormap), created an alternative design, and tested the alternative’s usability through two general public surveys. The results showed that replacing the rainbow colormap with a more intuitive diverging colormap improves usability, regardless of the audience’s subjective preference for the rainbow color scheme. In addition, we demonstrated the importance of using legends to improve the audience’s understanding of the map symbols. This study demonstrates how user-centered design approaches can be used to inform the design of high-profile products and tools.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255085","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Gerst, M.D., Kenney, M.A., and Read, E., 2025, Using visualization science to inform the design of environmental decision-support tools—A case study of the U.S. Geological Survey Waterwatch: U.S. Geological Survey Scientific Investigations Report 2025–5085, 17 p., https://doi.org/10.3133/sir20255085.","productDescription":"vi, 17 p.","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-171947","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":497668,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5085/images/"},{"id":497667,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5085/sir20255085.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5085 XML"},{"id":497666,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255085/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5085 HTML"},{"id":497664,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5085/coverthb2.jpg"},{"id":497665,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5085/sir20255085.pdf","size":"1.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5085 PDF"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.060546875,\n 18.020527657852337\n ],\n [\n -66.2255859375,\n 17.916022703877665\n ],\n [\n -65.6103515625,\n 17.97873309555617\n ],\n [\n -65.2587890625,\n 18.124970639386515\n ],\n [\n -65.5224609375,\n 18.458768120015126\n ],\n [\n -66.11572265625,\n 18.542116654448996\n ],\n [\n -66.95068359374999,\n 18.60460138845525\n ],\n [\n -67.34619140625,\n 18.542116654448996\n ],\n [\n -67.2802734375,\n 17.99963161491187\n ],\n [\n -67.060546875,\n 18.020527657852337\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.8931278439954,\n 17.667607304154274\n ],\n [\n -64.58752402779574,\n 17.713883115373847\n ],\n [\n -64.55109443381166,\n 17.74472702735764\n ],\n [\n -64.66443094842859,\n 18.352795515335842\n ],\n [\n -64.76967199771627,\n 18.39120971739989\n ],\n [\n -64.92550970531485,\n 18.427695279749713\n ],\n [\n -65.3829034964479,\n 18.368162222527715\n ],\n [\n -65.34445003613146,\n 18.277863255240533\n ],\n [\n -64.8931278439954,\n 17.667607304154274\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Resources Mission Area
U.S. Geological Survey
1 Gifford Pinchot Dr
Madison, WI 53726
Impact-generated hydrothermal systems are considered potentially habitable environments on Mars, Earth, and other planetary bodies for microbial life. However, there is an ongoing debate regarding what geological features on Mars provide definitive evidence for such systems. Although earlier studies have modeled hydrothermal processes in Martian craters, they often lacked integration with shock physics hydrocodes to constrain initial impact conditions. The importance of this two-code coupling was demonstrated by successfully replicating alteration signatures in the Earth's Haughton impact structure. In this study, we use a similar two-code approach, combining the iSALE hydrocode with the HYDROTHERM hydrothermal model to simulate the full evolution of impact-generated hydrothermal systems. We apply this method to craters the size of Jezero (∼50 km) and Gale (∼154 km) in diameter. Although Jezero's interior is largely buried, our results align with hypothesized hydrothermal vents and alteration minerals near central uplifts in similarly sized exposed craters, such as Toro and Auki. Furthermore, our models correspond to alteration patterns observed by the Curiosity in the lower layers of Mount Sharp, which may represent remnants of impact-driven hydrothermal activity. A key finding is that these systems may persist much longer than previously estimated. Our simulations suggest that a Jezero-sized system could remain habitable for thermophiles for approximately 720,000 years, whereas a Gale-sized system could persist for nearly 2 million years. Additionally, simulations under unsaturated crustal conditions reveal that air-dominated near-surface layers can suppress vertical fluid flow, enabling deep subsurface alteration without producing detectable mineral signatures at the surface.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JE008896","usgsCitation":"Trowbridge, A.J., Marchi, S., Taron, J.M., and Osinski, G.R., 2025, Advancing current understanding of Martian impact-generated hydrothermal systems through novel coupled modeling: Insights from Gale, Jezero, and other craters: Journal of Geophysical Research - Planets, v. 130, no. 12, e2024JE008896, 28 p., https://doi.org/10.1029/2024JE008896.","productDescription":"e2024JE008896, 28 p.","ipdsId":"IP-174851","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024je008896","text":"Publisher Index Page"},{"id":500553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"130","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Trowbridge, Alexander J.","contributorId":367033,"corporation":false,"usgs":false,"family":"Trowbridge","given":"Alexander","middleInitial":"J.","affiliations":[{"id":87529,"text":"NASA Astrobiology Postdoctoral Program","active":true,"usgs":false}],"preferred":false,"id":956618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marchi, Simone","contributorId":367034,"corporation":false,"usgs":false,"family":"Marchi","given":"Simone","affiliations":[{"id":37298,"text":"Southwest Research Institute, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":956619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taron, Joshua M. 0000-0003-2719-3917","orcid":"https://orcid.org/0000-0003-2719-3917","contributorId":248769,"corporation":false,"usgs":true,"family":"Taron","given":"Joshua","email":"","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":956620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osinski, Gordon R.","contributorId":367035,"corporation":false,"usgs":false,"family":"Osinski","given":"Gordon","middleInitial":"R.","affiliations":[{"id":87530,"text":"Dept. Earth Sciences, University of Western Ontario, London, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":956621,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273445,"text":"70273445 - 2025 - MTAB 113, December 2025","interactions":[],"lastModifiedDate":"2026-01-14T15:40:08.590456","indexId":"70273445","displayToPublicDate":"2025-12-23T09:37:11","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 113, December 2025","docAbstract":"This Memo to All Banders (MTAB 113) was released in December 2025. Subjects in this this memo are 1. The Chief’s Chirp – End-of-Year Message and BBL’s Year in Numbers; 2. Alerts –Highly Pathogenic Avian Influenza and Screw-worms; 3. News – GameBirds Data Release and Banders Without Borders Updates; 4. A note from the permitting shelves – project description template and double-check contact info reminder; 5. A note from the supply room – band order reminders; 6. Data management – NABBP Database Species Changes Updates and prepare your data reminders; 7. Frequently asked questions – What bird status extra info code should I use? How can I process repeat warnings faster during the data submission process?; 8. Auxiliary marker corner – reminder to get data in; 9. Message to the Flyways – Data submission, band orders, and Winter Flyway Council Meetings; 10. Moments in history – bird band pop quiz; 11. Upcoming events; 12. Recent literature; 13. Request for information; and 13. Appendix: NABBP Database Species Changes Update.","language":"English","publisher":"U.S. Geological Survey","collaboration":"none","usgsCitation":"Harvey, K., and McKay, J.L., 2025, MTAB 113, December 2025: Memo to All Banders (MTAB), 17 p.","productDescription":"17 p.","ipdsId":"IP-184700","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498596,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-113-december-2025"}],"noUsgsAuthors":false,"publicationDate":"2025-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKay, Jennifer L. 0000-0002-8893-0231","orcid":"https://orcid.org/0000-0002-8893-0231","contributorId":296562,"corporation":false,"usgs":true,"family":"McKay","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953796,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273433,"text":"70273433 - 2025 - Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection","interactions":[],"lastModifiedDate":"2026-01-13T15:42:24.91129","indexId":"70273433","displayToPublicDate":"2025-12-23T08:36:48","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":"Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection","docAbstract":"A substantial body of evidence exists demonstrating that exposure to environmental contaminants can alter animal behavior. Moreover, methodological and technological advancements, as well as increasing standardization, mean that behavioral ecotoxicity studies are more rigorous and reliable than ever before. Despite this, behavioral data are still seldom used in the risk assessment and regulation of chemicals. This is partly due to a lack of clarity among some stakeholders about whether changes in behavior at the individual level result in population-level outcomes. To address this, we first consider the state of evidence within the field of behavioral ecotoxicology linking individual-level behavioral alterations with population-level consequences. We then assess the evidence from behavioral ecology and other neighboring fields that supports this link. Further, we evaluate whether some behavioral endpoints are more easily tied to population-level changes than others. In this regard, we propose combining insights from two complementary ecological frameworks─the functional trait framework and the limiting traits framework─to evaluate which behaviors should be prioritized in ecotoxicological research and regulatory efforts. We contend that the link between behavioral changes and population-level outcomes is evident, with behavioral endpoints representing a highly valuable yet so far underutilized line of evidence in applied environmental protection.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c07777","usgsCitation":"Bertram, M.G., Ågerstrand, M., Brand, J.A., Brooks, B.W., Dang, Z., Ford, A.T., Hollert, H., LeFauve, M.K., Manera, J.L., Martin, J.M., Michelangeli, M., Moiron, M., Moore, E.R., Puglis, H.J., Sih, A., Steevens, J.A., Thoré, E.S., Wong, B.B., Zink, L., and Bodin, T., 2025, Are behavioural ecotoxicity endpoints relevant at the population level? Evidence-based insights for environmental protection: Environmental Science and Technology, v. 60, no. 1, p. 86-95, https://doi.org/10.1021/acs.est.5c07777.","productDescription":"10 p.","startPage":"86","endPage":"95","ipdsId":"IP-180095","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":498696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c07777","text":"Publisher Index Page"},{"id":498585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertram, Michael G.","contributorId":257463,"corporation":false,"usgs":false,"family":"Bertram","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52030,"text":"Swedish University of Agricultural Sciences, Umeå, Sweden","active":true,"usgs":false}],"preferred":false,"id":953665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ågerstrand, Marlene","contributorId":365074,"corporation":false,"usgs":false,"family":"Ågerstrand","given":"Marlene","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":953666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Jack A.","contributorId":346194,"corporation":false,"usgs":false,"family":"Brand","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":953667,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":953668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dang, ZhiChao","contributorId":200668,"corporation":false,"usgs":false,"family":"Dang","given":"ZhiChao","email":"","affiliations":[],"preferred":false,"id":953669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, Alex T. 0000-0001-5202-546X","orcid":"https://orcid.org/0000-0001-5202-546X","contributorId":257460,"corporation":false,"usgs":false,"family":"Ford","given":"Alex","email":"","middleInitial":"T.","affiliations":[{"id":52027,"text":"University of Portsmouth, Portsmouth, UK","active":true,"usgs":false}],"preferred":false,"id":953670,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollert, Henner","contributorId":257467,"corporation":false,"usgs":false,"family":"Hollert","given":"Henner","email":"","affiliations":[{"id":52034,"text":"Goethe University Frankfurt, Germany","active":true,"usgs":false}],"preferred":false,"id":953671,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LeFauve, Matthew K.","contributorId":365076,"corporation":false,"usgs":false,"family":"LeFauve","given":"Matthew","middleInitial":"K.","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":953672,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Manera, Jack L.","contributorId":365077,"corporation":false,"usgs":false,"family":"Manera","given":"Jack","middleInitial":"L.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":953673,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Martin, Jake M.","contributorId":346203,"corporation":false,"usgs":false,"family":"Martin","given":"Jake","email":"","middleInitial":"M.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953674,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Michelangeli, Marcus","contributorId":346204,"corporation":false,"usgs":false,"family":"Michelangeli","given":"Marcus","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953675,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Moiron, Maria","contributorId":365080,"corporation":false,"usgs":false,"family":"Moiron","given":"Maria","affiliations":[{"id":87035,"text":"Bielefeld University","active":true,"usgs":false}],"preferred":false,"id":953676,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moore, Eleanor R.","contributorId":365082,"corporation":false,"usgs":false,"family":"Moore","given":"Eleanor","middleInitial":"R.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":953677,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":953678,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sih, Andrew","contributorId":177597,"corporation":false,"usgs":false,"family":"Sih","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":953679,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":953680,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Thoré, Eli S.J.","contributorId":365084,"corporation":false,"usgs":false,"family":"Thoré","given":"Eli","middleInitial":"S.J.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953681,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wong, Bob B.M.","contributorId":365086,"corporation":false,"usgs":false,"family":"Wong","given":"Bob","middleInitial":"B.M.","affiliations":[{"id":64623,"text":"Monash University, Australia","active":true,"usgs":false}],"preferred":false,"id":953682,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Zink, Lauren","contributorId":365087,"corporation":false,"usgs":false,"family":"Zink","given":"Lauren","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953683,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bodin, Tomas","contributorId":365088,"corporation":false,"usgs":false,"family":"Bodin","given":"Tomas","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":953684,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70273714,"text":"70273714 - 2025 - The geology of Canadian potash: A critical mineral for feeding the world","interactions":[],"lastModifiedDate":"2026-01-26T15:11:01.823841","indexId":"70273714","displayToPublicDate":"2025-12-23T08:02:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16690,"text":"Facets","active":true,"publicationSubtype":{"id":10}},"title":"The geology of Canadian potash: A critical mineral for feeding the world","docAbstract":"Potash, potassium-bearing water-soluble salt, is the primary global economic source of potassium. Potash is recognized as a critical mineral in Canada as it is the largest source of potassium used in fertilizers. It is essential for global agricultural productivity and food security. Canada is the world’s largest potash exporter with vast deposits in the widely mined Prairie Evaporite of Saskatchewan, which formed in the epicontinental Elk Point Basin during the Middle Devonian. Potash is also found in the Windsor Group of Atlantic Canada where it formed in a series of tectonically active basins during the Mississippian that have undergone substantial post-depositional subsurface alteration and deformation. Potash deposits were mined in New Brunswick up until 2016. Both deposits are salt giants, recording times in the geologic record of extensive and long-lasting evaporite genesis under arid conditions in restricted seas. This paper reviews the geological and economic significance of Canadian potash, including (1) the genesis of each deposit, (2) diagenetic, erosional, and tectonic modification, and (3) exploration and mining in each basin. Underdeveloped regions, possible undiscovered resources, environmental considerations, and the importance of sustainable practices in light of climate change and socioeconomic risks are also addressed.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/facets-2024-0363","usgsCitation":"E.J. Matheson, Cocker, M.D., Snyder, M.E., Funk, C., Boehner, R., Yang, C., Nicolas, M., and Kruger, N.W., 2025, The geology of Canadian potash: A critical mineral for feeding the world: Facets, v. 10, p. 1-40, https://doi.org/10.1139/facets-2024-0363.","productDescription":"40 p.","startPage":"1","endPage":"40","ipdsId":"IP-172852","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":499315,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/facets-2024-0363","text":"Publisher Index Page"},{"id":499013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"E.J. Matheson 0000-0002-0355-0361","orcid":"https://orcid.org/0000-0002-0355-0361","contributorId":365586,"corporation":false,"usgs":false,"family":"E.J. Matheson","affiliations":[{"id":87156,"text":"Dept. of Math, Physics and Geology, Cape Breton University","active":true,"usgs":false}],"preferred":false,"id":954400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cocker, Mark D. 0000-0001-9435-5862 mcocker@usgs.gov","orcid":"https://orcid.org/0000-0001-9435-5862","contributorId":4297,"corporation":false,"usgs":true,"family":"Cocker","given":"Mark","email":"mcocker@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":954401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, M. E.","contributorId":365587,"corporation":false,"usgs":false,"family":"Snyder","given":"M.","middleInitial":"E.","affiliations":[{"id":87157,"text":"Dept. of Earth and Environmental Science, Acadia University","active":true,"usgs":false}],"preferred":false,"id":954402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Craig","contributorId":365588,"corporation":false,"usgs":false,"family":"Funk","given":"Craig","affiliations":[{"id":87158,"text":"Geoservices, Nutrien Canada","active":true,"usgs":false}],"preferred":false,"id":954403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boehner, R.","contributorId":365589,"corporation":false,"usgs":false,"family":"Boehner","given":"R.","affiliations":[{"id":38268,"text":"independent","active":true,"usgs":false}],"preferred":false,"id":954404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Chaowei 0000-0001-7768-4066","orcid":"https://orcid.org/0000-0001-7768-4066","contributorId":362010,"corporation":false,"usgs":false,"family":"Yang","given":"Chaowei","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":954405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nicolas, M.P.B.","contributorId":365590,"corporation":false,"usgs":false,"family":"Nicolas","given":"M.P.B.","affiliations":[{"id":87159,"text":"Manitoba Geological Survey","active":true,"usgs":false}],"preferred":false,"id":954406,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kruger, N. W.","contributorId":365591,"corporation":false,"usgs":false,"family":"Kruger","given":"N.","middleInitial":"W.","affiliations":[{"id":65569,"text":"North Dakota Geological Survey","active":true,"usgs":false}],"preferred":false,"id":954407,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273213,"text":"sir20255095 - 2025 - Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","interactions":[],"lastModifiedDate":"2026-02-04T14:21:30.576365","indexId":"sir20255095","displayToPublicDate":"2025-12-22T10:55:16","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":"2025-5095","displayTitle":"Assessment of Treated Wastewater Infiltration in Bright Angel Wash and the Potential for Contaminants of Emerging Concern Influencing Spring Water Quality Along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","title":"Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona","docAbstract":"In April 2021, a synoptic study conducted by the U.S. Geological Survey (USGS) and National Park Service (NPS) identified wastewater-related contaminants of emerging concern (CECs) in springs along the South Rim of the Grand Canyon. These springs are located north of Bright Angel Wash, an ephemeral channel that receives treated effluent from the South Rim Wastewater Treatment Plant (SRWTP). Although water flows southwest and away from the canyon, there is evidence that treated wastewater is finding a flow path along fractures associated with the Bright Angel Fault back to water sources along the South Rim.
The CECs identified during the April 2021 sampling included several per- and polyfluoroalkyl substances (PFAS) and pharmaceutical compounds. The PFAS compounds detected only consisted of perfluoroalkyl acids, and these were only detected at Bright Angel Wash (treated wastewater), Monument Spring, and upper Horn Bedrock Spring. The other five sampled springs (the Salt Creek, Horn East Alluvium, Garden, Pumphouse, and Pipe Springs) had no detections of PFAS compounds. The five perfluoroalkyl acids detected at Monument Spring (in descending order of concentration) were perfluorobutanesulfonic acid (PFBS), perfluoropentanoic acid, perfluorooctanoic acid, perfluorohexanoic acid, and perfluorooctanesulfonic acid. Only the short-chained PFBS and perfluorobutanoic acid compounds were detected at the upper Horn Bedrock Spring. All the same perfluoroalkyl acids were found at Bright Angel Wash, except for PFBS.
Monument Spring was the only spring to have detections of pharmaceuticals. The two pharmaceuticals detected at the highest concentrations at Monument Spring were diphenhydramine (antihistamine) and carbamazepine (anticonvulsant or anti-epileptic drug). The other detected pharmaceuticals included (in descending order of concentration) fluconazole (antifungal), sulfamethoxazole (antibiotic), metformin (diabetes drug), tramadol (opioid analgesic), and venlafaxine (antidepressant and nerve pain medication). The same pharmaceuticals were detected in the wastewater at Bright Angel Wash but in greater concentrations. No CEC concentrations measured at Monument Spring exceeded any drinking water standards or human health benchmarks; however, most of the compounds detected have no regulatory standards. Studies of the ecological effects of these compounds show that some of the compounds detected can have endocrine and physiological effects, but generally, effects were observed at concentrations multiple orders of magnitude greater than what was measured during the April 2021 study.
Data from 1980 through 2022 retrieved from the Water Quality Portal were combined with data from the one-time synoptic sampling in April 2021 to assess the usefulness of other analytes for identifying a wastewater connection to South Rim springs. Most of the historical water chemistry data showed a statistical difference between samples collected within and east of the Garden Creek watershed and samples collected from locations in watersheds to the west of Garden Creek, including the Horn Creek, Salt Creek, Monument Creek, and Hermit Creek watersheds, which roughly align with the Bright Angel Fault. Most of the historical analytes were inconclusive as potential wastewater tracers, but nitrate, chloride, and gadolinium data possibly support the historical contribution of wastewater to Monument Spring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255095","collaboration":"Prepared in cooperation with the National Park Service, Grand Canyon National Park","usgsCitation":"Paretti, N.V., Beisner, K.R., and Shepherd, S.J.R., 2025, Assessment of treated wastewater infiltration in Bright Angel Wash and the potential for contaminants of emerging concern influencing spring water quality along the South Rim of the Grand Canyon in Grand Canyon National Park, Arizona (ver. 1.1, 2026): U.S. Geological Survey Scientific Investigations Report 2025–5095, 59 p., https://doi.org/10.3133/sir20255095.","productDescription":"ix, 59 p.","numberOfPages":"59","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-159478","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":499495,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119152.htm","linkFileType":{"id":5,"text":"html"}},{"id":499484,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2025/5095/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2025-5095 Version History"},{"id":497774,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5095/sir20255095.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5095 XML"},{"id":497773,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255095/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5095 HTML"},{"id":497772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5095/sir20255095.pdf","size":"11.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5095 PDF"},{"id":497775,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5095/images/"},{"id":497771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5095/coverthb2.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Bright Angel Wash, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.25,\n 36.1\n ],\n [\n -112.25,\n 35.94693133579284\n ],\n [\n -112,\n 35.94693133579284\n ],\n [\n -112,\n 36.1\n ],\n [\n -112.25,\n 36.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0: December 29, 2025; Version 1.1: February 3, 2026","contact":"Director, Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue, Suite 221
Tucson, AZ 85719
Identifying suspended-sediment (SS) sources, seasonal variability, and phosphorus (P) transported with SS is critical information for basin managers, although there may be concerns about comparability between flow-integrated SS samples used for sediment fingerprinting and discrete samples used for concentrations and loads in basins where SS is mostly silt + clay and(or) one land-use predominates. Objectives were to determine if (1) sample-collection method and (2) source consideration influenced apportionment of the largest SS source.
Concurrent-replicate, SS samples were collected during 2022 from the East River, Wisconsin using an automated sampler, commonly used for water-quality sampling, and passive samplers, frequently used for SS fingerprinting. Samples were evaluated for differences in physical and chemical characteristics that may affect source apportionment. Considered sources included three upland land-use (cropland, forest, and roads), two in-channel (streambank and streambed sediment), and one that connects uplands to the stream channel (gullies). Source apportionment used established methods in the SedSAT tool. Source scenarios included land-use + streambank (4src), 4src + gully, 4src + streambed, and 4src + gully + streambed (6src).
There were no statistically significant differences in median grain size, organic carbon, or sediment-bound P as a function of collection method. In-channel sources were the largest proportional SS source, regardless of season, hydrologic condition, collection method, or source scenario. Source verification highlighted which source fingerprints were most accurately defined and implications for SS target apportionment.
Varying the source scenarios for sediment fingerprinting indicated that improved management of hydrologic connectivity between upland land use and the stream channel has the potential to mitigate SS loads.
","language":"English","publisher":"Springer","doi":"10.1007/s11368-025-04155-y","usgsCitation":"Williamson, T.N., Blount, J.D., Broerman, H., Fitzpatrick, F., Mevis, I., Hoefling, D.J., Pace, S.M., Komiskey, M.J., and Kreiling, R., 2025, Evaluating uncertainties with sample-collection method and source selection in sediment fingerprinting: an example from a Great Lakes tributary: Journal of Soils and Sediments, v. 25, p. 4140-4163, https://doi.org/10.1007/s11368-025-04155-y.","productDescription":"24 p.","startPage":"4140","endPage":"4163","ipdsId":"IP-174726","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":498457,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-025-04155-y","text":"Publisher Index Page"},{"id":498344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"East River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.58937270792205,\n 44.63457374193757\n ],\n [\n -88.40515142753031,\n 44.63457374193757\n ],\n [\n -88.40515142753031,\n 44.22837406709485\n ],\n [\n -87.58937270792205,\n 44.22837406709485\n ],\n [\n -87.58937270792205,\n 44.63457374193757\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blount, James D.","contributorId":364844,"corporation":false,"usgs":false,"family":"Blount","given":"James","middleInitial":"D.","affiliations":[{"id":86990,"text":"formerly USGS, now University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":953305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Broerman, Heidi Mae 0009-0007-2475-5044","orcid":"https://orcid.org/0009-0007-2475-5044","contributorId":330645,"corporation":false,"usgs":true,"family":"Broerman","given":"Heidi Mae","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209191,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953307,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mevis, Isaac James 0009-0000-9623-6410","orcid":"https://orcid.org/0009-0000-9623-6410","contributorId":346122,"corporation":false,"usgs":true,"family":"Mevis","given":"Isaac James","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953308,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoefling, Dayle J.","contributorId":364845,"corporation":false,"usgs":false,"family":"Hoefling","given":"Dayle","middleInitial":"J.","affiliations":[{"id":86993,"text":"formerly USGS, no new contact information","active":true,"usgs":false}],"preferred":false,"id":953309,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pace, Shannon Murphy 0009-0005-1822-6643","orcid":"https://orcid.org/0009-0005-1822-6643","contributorId":364846,"corporation":false,"usgs":true,"family":"Pace","given":"Shannon","middleInitial":"Murphy","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953310,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Komiskey, Matthew J. 0000-0003-2962-6974 mjkomisk@usgs.gov","orcid":"https://orcid.org/0000-0003-2962-6974","contributorId":1776,"corporation":false,"usgs":true,"family":"Komiskey","given":"Matthew","email":"mjkomisk@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953311,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":147679,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":953312,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273761,"text":"70273761 - 2025 - A laboratory-based spectrometer intercomparison for the measurement of snow spectra","interactions":[],"lastModifiedDate":"2026-01-28T15:54:55.650048","indexId":"70273761","displayToPublicDate":"2025-12-22T08:48:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1264,"text":"Cold Regions Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"A laboratory-based spectrometer intercomparison for the measurement of snow spectra","docAbstract":"Seasonal snow is an integral component of global hydrological systems, global energy budget and Earth's climate. As an important part of many Earth systems, seasonal snow is also an essential source of water for many human populations and ecosystems around the world. As such, the measurement of seasonal snow and characterization of uncertainty in those measurements is crucial. To elucidate potential uncertainty attributable to commonly used field spectrometers (and to a lesser extent imaging spectrometers) and associated reference panels, this work presents results from an intercalibration experiment conducted synchronously with the NASA 2023 Snow Experiment (SnowEx) Albedo campaign near Fairbanks, Alaska USA. Three sets of experiments were carried out under controlled laboratory conditions to characterize the radiometric and spectral wavelength consistency of the instruments as well as the white reference panels used to calculate reflectance from field measurements. Although there was generally good agreement between the instruments, panels, and the references, there were also some notable differences. One instrument showed an average − 74 % change from the reference for radiance, and multiple instruments exceeded the suggested 0.5 nm threshold for spectral wavelength scale. The Discussion section highlights how some of these findings and their implications could improve future field campaigns and general use/maintenance of these high-precision scientific instruments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coldregions.2025.104800","usgsCitation":"Roberts-Pierel, B.M., Crawford, C., Brown, S.W., Kokaly, R.F., Gleason, K.E., Nolin, A.W., Bair, E.H., Wilder, B.A., Surunis, A.J., Skiles, S.K., Meyer, J., Fitts, A.E., Johnston, J.M., Hunsaker, A.G., Steufer, M., and Løke, T., 2025, A laboratory-based spectrometer intercomparison for the measurement of snow spectra: Cold Regions Science and Technology, v. 245, 104800, 16 p., https://doi.org/10.1016/j.coldregions.2025.104800.","productDescription":"104800, 16 p.","ipdsId":"IP-182042","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499970,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/esm_fac/430","text":"External Repository"},{"id":499172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"Fairbanks","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.93176636317207,\n 64.88847731461294\n ],\n [\n -147.93176636317207,\n 64.76084697844067\n ],\n [\n -147.5919038491945,\n 64.76084697844067\n ],\n [\n -147.5919038491945,\n 64.88847731461294\n ],\n [\n -147.93176636317207,\n 64.88847731461294\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"245","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts-Pierel, Benjamin M. 0000-0002-1486-7903","orcid":"https://orcid.org/0000-0002-1486-7903","contributorId":365679,"corporation":false,"usgs":false,"family":"Roberts-Pierel","given":"Benjamin","middleInitial":"M.","affiliations":[{"id":87187,"text":"Earth Space Technology Service","active":true,"usgs":false}],"preferred":false,"id":954604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":954605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Steven W.","contributorId":365680,"corporation":false,"usgs":false,"family":"Brown","given":"Steven","middleInitial":"W.","affiliations":[{"id":25356,"text":"National Institute of Standards and Technology","active":true,"usgs":false}],"preferred":false,"id":954606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":954607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gleason, Kelly E.","contributorId":365681,"corporation":false,"usgs":false,"family":"Gleason","given":"Kelly","middleInitial":"E.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":954608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nolin, Anne W.","contributorId":365682,"corporation":false,"usgs":false,"family":"Nolin","given":"Anne","middleInitial":"W.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":954609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bair, Edward H.","contributorId":365683,"corporation":false,"usgs":false,"family":"Bair","given":"Edward","middleInitial":"H.","affiliations":[{"id":87188,"text":"Leidos, Inc.","active":true,"usgs":false}],"preferred":false,"id":954610,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilder, Brenton A.","contributorId":365684,"corporation":false,"usgs":false,"family":"Wilder","given":"Brenton","middleInitial":"A.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":954611,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Surunis, Anton J.","contributorId":365685,"corporation":false,"usgs":false,"family":"Surunis","given":"Anton","middleInitial":"J.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":954612,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Skiles, S. McKenzie K.","contributorId":365686,"corporation":false,"usgs":false,"family":"Skiles","given":"S. McKenzie","middleInitial":"K.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":954613,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Meyer, Joachim","contributorId":365687,"corporation":false,"usgs":false,"family":"Meyer","given":"Joachim","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":954614,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fitts, Allyson E.","contributorId":365688,"corporation":false,"usgs":false,"family":"Fitts","given":"Allyson","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":954615,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Johnston, Jeremy M.","contributorId":365689,"corporation":false,"usgs":false,"family":"Johnston","given":"Jeremy","middleInitial":"M.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":954616,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hunsaker, Adam G.","contributorId":365690,"corporation":false,"usgs":false,"family":"Hunsaker","given":"Adam","middleInitial":"G.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":954617,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Steufer, Martin","contributorId":365691,"corporation":false,"usgs":false,"family":"Steufer","given":"Martin","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":954618,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Løke, Trond","contributorId":365692,"corporation":false,"usgs":false,"family":"Løke","given":"Trond","affiliations":[{"id":87189,"text":"Norsk Elektro Optikk AS","active":true,"usgs":false}],"preferred":false,"id":954619,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70273388,"text":"70273388 - 2025 - Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","interactions":[],"lastModifiedDate":"2026-01-12T15:13:17.191273","indexId":"70273388","displayToPublicDate":"2025-12-22T08:01:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers","docAbstract":"Long-term monitoring indicates bluegill catch rates are relatively stable in some reaches of the Upper Mississippi River and highly variable in others, whereas in the Illinois River, catch rates have decreased. A lack of age structure information precludes understanding population processes responsible for patterns in catch rates. To build a better understanding of why catch rates have changed over time, we integrated short-term age structure information with long-term monitoring data to quantify and assess spatial patterns in bluegill population dynamics across six study reaches of these two rivers. Specifically, we estimated and compared age and size structure, growth, maturity, mortality, and recruitment. We used quantile regressions to apply age estimates to long-term data for investigating trends in age-based catch rates reflective of recruitment (age-1 catch rates), mortality (using age-1 and age-2+ catch rates), and spawning stock (age-2+). Our findings indicate trends in bluegill age-2+ catch rates increased and then stabilized across upstream study reaches, but dynamic rates, size structure, and age at maturity varied among reaches. Bluegill populations in downstream study reaches had low maximum size, early maturation, low mean age, low proportional stock density, declining recruitment, and declining age-2+ catch rates. An insufficient number of bluegills were collected from the study reach furthest downstream to adequately quantify dynamic rates. Our results support life history theory in that bluegill respond to unstable environmental conditions through life history adaptations. These findings show how integrating periodic age structure information with long-term monitoring can enhance population assessments.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70108","usgsCitation":"Bouska, K.L., Solomon, L.E., Bartels, A.D., Bowler, M., DeLain, S., Gittinger, E.J., Kueter, T., Maxson, K.A., Ratcliff, E., West, J.L., Lamer, J.T., Kim, H.H., and Phelps, Q.E., 2025, Big River bluegill: Combining vital rates and long-term monitoring to understand population dynamics in large rivers: River Research and Applications, 17 p., https://doi.org/10.1002/rra.70108.","productDescription":"17 p.","ipdsId":"IP-175311","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.70108","text":"Publisher Index Page"},{"id":498546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Middle Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.06717146140289,\n 45.86447206354717\n ],\n [\n -92.52191784406254,\n 41.69882187175006\n ],\n [\n -90.28756944844972,\n 36.728832427449134\n ],\n [\n -88.21309347811803,\n 37.288018848156554\n ],\n [\n -90.85588856742109,\n 46.01773041949036\n ],\n [\n -94.06717146140289,\n 45.86447206354717\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":953534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solomon, Levi E.","contributorId":194776,"corporation":false,"usgs":false,"family":"Solomon","given":"Levi","middleInitial":"E.","affiliations":[],"preferred":false,"id":953535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartels, Andrew D.","contributorId":292494,"corporation":false,"usgs":false,"family":"Bartels","given":"Andrew","middleInitial":"D.","affiliations":[],"preferred":false,"id":953536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowler, Melvin C.","contributorId":340212,"corporation":false,"usgs":false,"family":"Bowler","given":"Melvin C.","affiliations":[{"id":81506,"text":"Iowa Department of Natural Resources (IA DNR)","active":true,"usgs":false}],"preferred":false,"id":953537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLain, Steven A.","contributorId":340211,"corporation":false,"usgs":false,"family":"DeLain","given":"Steven A.","affiliations":[{"id":80175,"text":"Minnesota Department of Natural Resources (MN DNR)","active":true,"usgs":false}],"preferred":false,"id":953538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gittinger, Eric J.","contributorId":340213,"corporation":false,"usgs":false,"family":"Gittinger","given":"Eric","email":"","middleInitial":"J.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":953539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kueter, Travis","contributorId":364978,"corporation":false,"usgs":false,"family":"Kueter","given":"Travis","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":953540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maxson, Kristopher A.","contributorId":336868,"corporation":false,"usgs":false,"family":"Maxson","given":"Kristopher","middleInitial":"A.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":953541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ratcliff, Eric N.","contributorId":340214,"corporation":false,"usgs":false,"family":"Ratcliff","given":"Eric N.","affiliations":[{"id":81507,"text":"Illinois Department of Natural Resources (IL DNR)","active":true,"usgs":false}],"preferred":false,"id":953542,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"West, John L.","contributorId":340215,"corporation":false,"usgs":false,"family":"West","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":13503,"text":"Illinois Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":953543,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lamer, James T. 0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":953544,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kim, Hae H.","contributorId":364979,"corporation":false,"usgs":false,"family":"Kim","given":"Hae","middleInitial":"H.","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":953545,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Phelps, Quinton Edward 0000-0002-0855-410X","orcid":"https://orcid.org/0000-0002-0855-410X","contributorId":364981,"corporation":false,"usgs":true,"family":"Phelps","given":"Quinton","middleInitial":"Edward","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":953546,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70274134,"text":"70274134 - 2025 - Speciation genomics in the tiger whiptail lizards (Aspidoscelis tigris complex)","interactions":[],"lastModifiedDate":"2026-02-27T15:07:48.339382","indexId":"70274134","displayToPublicDate":"2025-12-22T07:58:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3832,"text":"Genome Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Speciation genomics in the tiger whiptail lizards (Aspidoscelis tigris complex)","docAbstract":"The transition from small genetic to genome-scale datasets for studying biodiversity has revealed that genetic exchange through introgressive hybridization is a widespread phenomenon in nature. Despite this, a lack of high-quality reference genomes for most non-model species limits our understanding of the impact of this process for many taxonomic groups. This restricts the range of insights that genomic tools can provide for conservation biologists, who often hope to employ genomic datasets to accurately identify historically isolated lineages to protect and to predict their evolutionary fate in the face of environmental change. Tiger whiptail lizards (Aspidoscelis tigris complex) are an abundant and important ecological component of ecosystems across the southwestern United States. In this study, we assembled and annotated a chromosome-level reference genome for A. t. stejnegeri from coastal California. We then used this reference genome to reconstruct patterns of speciation and admixture within the larger species complex, finding evidence that gene flow is widespread both geographically and across the genome.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evaf218","usgsCitation":"Barley, A.J., Ho, D.V., Baumann, P., Wang, I.J., Shaffer, H.B., Fisher, R.N., Gray, L.N., Krabbenhoft, T.J., Espinoza, R.E., Escalona, M., Toffelmier, E., Sahasrabudhe, R., Nguyen, O., Fairbairn, C.W., Beraut, E., and Thomson, R.C., 2025, Speciation genomics in the tiger whiptail lizards (Aspidoscelis tigris complex): Genome Biology and Evolution, v. 17, no. 12, evaf218, 16 p., https://doi.org/10.1093/gbe/evaf218.","productDescription":"evaf218, 16 p.","ipdsId":"IP-183134","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500813,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evaf218","text":"Publisher Index Page"},{"id":500644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"northern Mexico, southwestern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.05581525403653,\n 36.44729610220706\n ],\n [\n -115.27181672437194,\n 25.785835832512632\n ],\n [\n -109.72280699879704,\n 21.796836323044985\n ],\n [\n -108.96560695285623,\n 23.724794649866627\n ],\n [\n -114.25142099794529,\n 31.97711728051575\n ],\n [\n -103.32771422082385,\n 27.61466119652667\n ],\n [\n -103.94091558336086,\n 33.57411141595831\n ],\n [\n -106.56599346429063,\n 32.77491303525552\n ],\n [\n -110.97336088502527,\n 34.5435699274435\n ],\n [\n -107.7674711688275,\n 35.90320292682061\n ],\n [\n -107.47500054368626,\n 37.098742679266984\n ],\n [\n -110.98660092132822,\n 37.01361174430673\n ],\n [\n -120.05581525403653,\n 36.44729610220706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Barley, Anthony J.","contributorId":367047,"corporation":false,"usgs":false,"family":"Barley","given":"Anthony","middleInitial":"J.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":956630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ho, David V.","contributorId":367048,"corporation":false,"usgs":false,"family":"Ho","given":"David","middleInitial":"V.","affiliations":[{"id":64804,"text":"Johannes Gutenberg University","active":true,"usgs":false}],"preferred":false,"id":956631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumann, Peter","contributorId":190963,"corporation":false,"usgs":false,"family":"Baumann","given":"Peter","email":"","affiliations":[],"preferred":false,"id":956632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Ian J.","contributorId":367049,"corporation":false,"usgs":false,"family":"Wang","given":"Ian","middleInitial":"J.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":956633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shaffer, H. Bradley","contributorId":367050,"corporation":false,"usgs":false,"family":"Shaffer","given":"H.","middleInitial":"Bradley","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":956634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956682,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, Levi N.","contributorId":367052,"corporation":false,"usgs":false,"family":"Gray","given":"Levi","middleInitial":"N.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":956636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krabbenhoft, Trevor J.","contributorId":367053,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","middleInitial":"J.","affiliations":[{"id":40126,"text":"University of Buffalo","active":true,"usgs":false}],"preferred":false,"id":956637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Espinoza, Robert E.","contributorId":367054,"corporation":false,"usgs":false,"family":"Espinoza","given":"Robert","middleInitial":"E.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":956638,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Escalona, Merly","contributorId":299346,"corporation":false,"usgs":false,"family":"Escalona","given":"Merly","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956639,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Toffelmier, Erin","contributorId":299356,"corporation":false,"usgs":false,"family":"Toffelmier","given":"Erin","email":"","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":956640,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sahasrabudhe, Ruta","contributorId":367055,"corporation":false,"usgs":false,"family":"Sahasrabudhe","given":"Ruta","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956641,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nguyen, Oanh","contributorId":299348,"corporation":false,"usgs":false,"family":"Nguyen","given":"Oanh","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":956642,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fairbairn, Colin W.","contributorId":367056,"corporation":false,"usgs":false,"family":"Fairbairn","given":"Colin","middleInitial":"W.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956643,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Beraut, Eric","contributorId":299352,"corporation":false,"usgs":false,"family":"Beraut","given":"Eric","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":956644,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thomson, Robert C.","contributorId":367058,"corporation":false,"usgs":false,"family":"Thomson","given":"Robert","middleInitial":"C.","affiliations":[{"id":87531,"text":"University of Hawaiʻi","active":true,"usgs":false}],"preferred":false,"id":956645,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70273104,"text":"sir20255073 - 2025 - Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","interactions":[],"lastModifiedDate":"2026-02-03T17:01:22.100586","indexId":"sir20255073","displayToPublicDate":"2025-12-19T15:32:50","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":"2025-5073","displayTitle":"Hydrogeologic Characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","title":"Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins, Riverside County, California","docAbstract":"The relation between the groundwater and the amount of natural recharge to the Cahuilla Valley and Terwilliger Valley groundwater basins is not well understood. During the 20th century, the reliance on groundwater near Anza, California, used for agricultural, domestic, and municipal reasons has increased, and there is the potential for changes in groundwater availability related to climate change. Several types of existing data were evaluated, and new data were collected for this study, with the goal of characterizing the region’s hydrogeology. The study’s scope included constructing a geologic framework model to show where the groundwater-bearing units are present and their relation to each other, estimating the major components of the groundwater budget, and understanding local short-term and regional long-term groundwater flow and how that has changed since the early 1900s.
Two electrical resistivity tomography surveys were done in the Durasno Valley about 2,150 feet apart to identify the thickness of the alluvium, its horizontal extent, and the depth-to-basement along two profiles perpendicular to Cahuilla Creek. The subsurface sediments were mostly horizontally layered and the transitional boundary between the alluvium and basement was thinner and shallower along the upgradient profile where the depth-to-basement was about 70 feet below land surface; the depth-to-basement at the downgradient profile was more than about 140 feet below land surface. The results from the surveys were used to place four monitoring wells at two sites along the survey profiles. Artesian flow from the deepest well at the downgradient site indicated that the decomposed and competent basement likely contributed some groundwater to the overlying alluvium, laterally, from below, or both.
A digital three-dimensional geologic framework model was constructed using EarthVision software to represent the subsurface geometry of the alluvium, decomposed basement, and competent basement. Maps and cross sections of the modeled thicknesses of the alluvium and decomposed basement, and the modeled elevation of the top of the competent basement, were made to show the subsurface geometry of vertical faults, selected wells, and the groundwater-bearing units.
Because natural recharge is related to the variable cycles of precipitation, estimates are difficult to quantify. Recharge and runoff have extreme interannual variability in the study area; recharge and runoff can be sporadic, and a substantive amount may not occur in some years. Estimates of recharge from a previous study and the regional-scale Basin Characterization Model for California for four different periods ranged from 3,800 acre-feet/year for 1897–1947 to 5,900 acre-feet/year for 1971–2000. Potential recharge from the disposal of domestic septic systems may have been as much as 500 acre-feet in 2020. It was estimated that between about 400 and 2,400 acre-feet/year of groundwater is lost through evapotranspiration by vegetation and evaporation from open water bodies, but the main source of discharge is through pumpage, mainly used for agriculture from the alluvium in the Cahuilla Valley and Terwilliger Valley groundwater basins. The estimated total pumpage for 1991–2021 ranged from about 1,140 acre-feet in 2019 to about 3,450 acre-feet in 1994. When summed, the cumulative amount of estimated pumpage between 1991 and 2021 was about 81,400 acre-feet.
The general direction of groundwater flow is from the northeast along the San Jacinto fault zone at the headwaters of Cahuilla and Hamilton Creeks, to the surface-water outlets at the west and southeast parts of the study area. Groundwater-level data from the 1950s and earlier indicate that there was a natural groundwater divide between the Cahuilla Valley and Terwilliger Valley groundwater basins, but the changing magnitude and extent of the groundwater depressions caused by pumping since about 1950 indicate that the location of the natural groundwater boundary between the Cahuilla Valley and Terwilliger Valley groundwater basins has migrated over time.
Flow from the upper to the lower parts of the Cahuilla Valley groundwater basin roughly follows the course of Cahuilla Creek through the narrow Durasno Valley where an estimated volume of flow in April 2019 was about 10–150 acre-feet/year. Short-term trends in groundwater levels, particularly in wells where groundwater is shallow and in the basement unit, show how some areas respond quickly to recharge and discharge. Wells located further to the east within the Cahuilla Valley groundwater basin in the alluvium show much less of a response to recharge events; areas of sustained pumpage from the alluvium, primarily for agriculture, show long-term declines in groundwater levels and generally do not show the effects of storm events or recent runoff. Groundwater levels in wells that are farthest from where most of the recharge occurs and where pumping has been the greatest, had some of the largest long-term groundwater-level declines at a rate of about 0.8 foot/year between 1971 and 2021.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255073","collaboration":"Prepared in cooperation with the Ramona Band of Cahuilla","usgsCitation":"Stamos, C.L., Christensen, A.H., Cromwell, G., Dick, M.C., Ely, C.P., Jachens, E.R., Ogle, S.E., and Shepherd, M.M., 2025, Hydrogeologic characterization of the Cahuilla Valley and Terwilliger Valley Groundwater Basins,\nRiverside County, California: U.S. Geological Survey Scientific Investigations Report 2025–5073, 65 p., https://doi.org/10.3133/sir20255073.","productDescription":"Report: ix, 65 p., 3 Data Releases","onlineOnly":"Y","ipdsId":"IP-116466","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497529,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93KA4IG","text":"USGS data release","description":"USGS data release","linkHelpText":"Select borehole data for Anza Valley, Anza, CA"},{"id":497531,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5073/images"},{"id":497875,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119059.htm","linkFileType":{"id":5,"text":"html"}},{"id":497532,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5073/sir20255073.XML"},{"id":497530,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DJLSOV","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrogeologic data from the Cahuilla Valley and Terwilliger Valley groundwater basins, Riverside County, California, 2022 (ver. 2.0, August 2025)"},{"id":497528,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LCEHD7","text":"USGS data release","description":"USGS data release","linkHelpText":"Electrical resistivity tomography in the Anza-Terwilliger Valley, Riverside County, California 2018"},{"id":497527,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255073/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5073"},{"id":497526,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5073/sir20255073.pdf","text":"Report","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5073"},{"id":497525,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5073/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cahuilla Valley and Terwilliger Valley groundwater basins","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.5,\n 33.8\n ],\n [\n -117.5,\n 33\n ],\n [\n -115.8,\n 33\n ],\n [\n -115.8,\n 33.8\n ],\n [\n -117.5,\n 33.8\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
This 1:5,000,000-scale geologic map of the Guinevere Planitia quadrangle divides the region into 15 geologic material units, defined using Magellan synthetic aperture radar (12.6-centimeter-wavelength radar system; 75 meters per pixel) datasets and including upland terrain units (2.4 percent of the surface area), plains materials units (59 percent), flow materials associated with named and unnamed eruptive centers (37.2 percent), small volcanic edifices, and impact crater materials (1.4 percent). Upland terrain units consist of tessera and lineated upland material, plains materials consist of Guinevere regional plains and Guinevere lineated and mottled plains, and flow materials consist of lobate flow material and plains-forming flow material. Specific lobate flows associated with Atanua Mons, Tuli Mons, Var Mons, and Uilata Fluctus are mapped separately. Other mapped units are impact crater material and small volcanic edifice. In addition to geologic units, we mapped linear features that show patterns of deformation or flow across the quadrangle. These consist of faults, wrinkle ridges, broad arches, channels, troughs, and flow direction indicators. The map region also contains several small volcanic features: shields, depressions, and craters. These, in combination with the plains, large volcanoes, and coronae, show the pervasive influence of volcanism across Venusian lowlands. The rims of nine identified impact features are delineated; large bright and dark haloes, which in some cases are associated with individual impact craters, are mapped as surficial mantling deposits.
We documented spatial relationships using the stratigraphic and cross-cutting relationships of the quadrangle’s geologic units and features to provide a synthesis of the region’s geologic history. The upland terrain of the quadrangle indicates intense tectonic deformation and uplift. It is exposed as embayed remnants, typically within the plains, and represents the oldest geologic materials locally and across the region. Guinevere plains and the plains-forming flow unit appear to be assemblages of volcanic flows from multiple sources, including distinct coronae and corona-like structures. The temporal evolution of Guinevere lineated and mottled plains was likely protracted, with continued formation of small volcanic edifices over a long period. The morphologic and radar brightness characteristics of volcanoes in the region indicate their growth may have involved (1) multiple large-scale eruptive centers with recognizable spatial and temporal sequences, (2) extensive lava flow fields with a multitude of flows producing complex, overlapping patterns, and (3) numerous small volcanic edifices, including shields, domes, and cones. Although geologic patterns common to other regions of Venus are evident in the Guinevere Planitia quadrangle, local relative age relationships are inconsistent or unclear, preventing robust stratigraphic correlation. The mapping results do, however, indicate complicated local sequences of volcanic and tectonic activity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3539","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Crown, D.A., Stofan, E.R., Bleamaster, L.F., III, 2025, Geologic map of the Guinevere Planitia quadrangle (V–30), Venus: U.S. Geological Survey Scientific Investigations Map 3539, 1 sheet, scale 1:5,000,000, pamphlet 15 p., https://doi.org/10.3133/sim3539.","productDescription":"Pamphlet: iv, 15 p.; 1 Sheet: 52.76 x 35.57 inches; Read Me; Database; Metadata","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-101507","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497754,"rank":6,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3539/database","text":"Database"},{"id":497753,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_readme.txt","size":"4 KB","linkFileType":{"id":2,"text":"txt"}},{"id":497752,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_metadata.xml","size":"16 KB","linkFileType":{"id":8,"text":"xml"}},{"id":497751,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_sheet.pdf","text":"Sheet","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3539 Sheet","linkHelpText":"- Geologic Map of the Guinevere Planitia Quadrangle (V–30), Venus"},{"id":497750,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3539/sim3539_pamphlet.pdf","text":"Pamphlet","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3539 Pamphlet"},{"id":497749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3539/coverthb.jpg"}],"scale":"5000000","otherGeospatial":"Guinevere Planitia quadrangle, Venus","contact":"Astrogeology Science Center
U.S. Geological Survey
2255 N. Gemini Dr.
Flagstaff, AZ 86001
Program Coordinator, Energy Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Mail Stop 913
Reston, VA 20192
Energy storage for future use is relevant at the national scale due to increasing power requirements and the desire for high-reliability supply. Having the ability to store energy gases underground, specifically natural gas, enables access during seasonal periods or times of unexpected demand. Geologic formations—namely depleted hydrocarbon reservoirs—are ideal underground settings for storing natural gas because they retained gas over geologic time scales. This report presents a methodology for estimating potential volumes of natural gas that can be stored in depleted hydrocarbon reservoirs. The methodology draws on the expertise of geologists and hydrocarbon production databases to first identify candidate reservoirs and then estimate probable storage volumes. The computed results may be combined into regional and national estimates for follow-on analysis and decision making. An example is provided that shows this methodology being used to evaluate the storage capacity for two “plays”—oil and gas accumulations where similar geologic conditions exist—in the Michigan Basin.
","publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Matthew M. 0000-0001-5996-1728","orcid":"https://orcid.org/0000-0001-5996-1728","contributorId":344228,"corporation":false,"usgs":true,"family":"Jones","given":"Matthew","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":951902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":178091,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brennan, Sean T. 0000-0002-7102-9359","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":204982,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951906,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":951907,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273293,"text":"70273293 - 2025 - Insights into widespread landsliding in southern Appalachia from Hurricane Helene","interactions":[],"lastModifiedDate":"2026-04-09T13:14:53.379091","indexId":"70273293","displayToPublicDate":"2025-12-19T09:49:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1728,"text":"GSA Today","active":true,"publicationSubtype":{"id":10}},"title":"Insights into widespread landsliding in southern Appalachia from Hurricane Helene","docAbstract":"Between 23 and 27 September 2024, antecedent rain followed by Hurricane Helene produced one of the most damaging weather events in southern Appalachia history. The back-to-back storm events resulted in a maximum cumulative rainfall of 848 mm and hurricane-force wind gusts over 170 km/h in western North Carolina, eastern Tennessee, and southwestern Virginia. The resulting regional flooding, landslides, and tree blowdown caused over 100 fatalities, damaged or destroyed critical infrastructure and thousands of structures, and severed connectivity across the region. Over the next several weeks, a multi-agency landslide response produced a rapid hazard assessment and mapped 2217 landslides, 55% of which damaged infrastructure or property. Orographic uplift enhanced rainfall, resulting in concentrated landsliding along the ~250 km swath of the Blue Ridge escarpment in western North Carolina. Landslides initiated predominantly on windward-facing (southeast-facing) slopes, and localized clustering of initiation points indicated a strong influence of hillslope-scale meteorological and geomorphic factors. Many shallow landslides mobilized into larger, highly mobile, and damaging debris flows that graded into floods. Here, we put our preliminary observations in the context of historical storm-driven landslide events and open new avenues for investigating the nature and extent of landslides and their effects in southern Appalachia and similar environments.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GSATG625A.1","usgsCitation":"Schaefer, L.N., Rengers, F.K., Mirus, B., Toney, L., Allstadt, K.E., Wooten, R., Moore, P., Burgi, P.M., Witt, A., Bilderback, E., Bauer, J., Korte, D., and Crawford, M., 2025, Insights into widespread landsliding in southern Appalachia from Hurricane Helene: GSA Today, v. 36, no. 1, p. 4-11, https://doi.org/10.1130/GSATG625A.1.","productDescription":"8 p.","startPage":"4","endPage":"11","ipdsId":"IP-176367","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":498323,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498456,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/gsatg625a.1","text":"Publisher Index Page"}],"country":"United States","state":"Georgia, North Carolina, South Carolina, Tennessee, Virginia","otherGeospatial":"southern Appalachia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.0956246997159,\n 33.16712093076947\n ],\n [\n -80.70056220609001,\n 35.44500558858594\n ],\n [\n -78.92252283909625,\n 36.85612515045237\n ],\n [\n -78.86465883497438,\n 37.53726534359846\n ],\n [\n -81.27319094443648,\n 37.03692920257846\n ],\n [\n -83.98040433088295,\n 36.20191656996158\n ],\n [\n -85.11083948910141,\n 34.93803598167824\n ],\n [\n -84.63563450266271,\n 33.976759781860224\n ],\n [\n -84.49843468082626,\n 33.14701998591154\n ],\n [\n -84.0956246997159,\n 33.16712093076947\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":169597,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooten, Richard","contributorId":364820,"corporation":false,"usgs":false,"family":"Wooten","given":"Richard","affiliations":[{"id":24614,"text":"North Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moore, Patrick","contributorId":364821,"corporation":false,"usgs":false,"family":"Moore","given":"Patrick","affiliations":[{"id":86982,"text":"National Weather Service Greenville-Spartanburg Forecast Office","active":true,"usgs":false}],"preferred":false,"id":953242,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burgi, Paula Madeline 0000-0003-3001-5759","orcid":"https://orcid.org/0000-0003-3001-5759","contributorId":317875,"corporation":false,"usgs":true,"family":"Burgi","given":"Paula","email":"","middleInitial":"Madeline","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953243,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Witt, Anne","contributorId":349948,"corporation":false,"usgs":false,"family":"Witt","given":"Anne","affiliations":[{"id":83542,"text":"Virginia Department of Energy, Geology and Mineral Resources Program","active":true,"usgs":false}],"preferred":false,"id":953244,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bilderback, Eric Leland 0000-0002-2027-5699","orcid":"https://orcid.org/0000-0002-2027-5699","contributorId":349936,"corporation":false,"usgs":true,"family":"Bilderback","given":"Eric Leland","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":953245,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bauer, Jennifer","contributorId":364824,"corporation":false,"usgs":false,"family":"Bauer","given":"Jennifer","affiliations":[{"id":86985,"text":"Appalachian Landslide Consultants, PLLC","active":true,"usgs":false}],"preferred":false,"id":953246,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Korte, David 0000-0001-9830-4333","orcid":"https://orcid.org/0000-0001-9830-4333","contributorId":349945,"corporation":false,"usgs":false,"family":"Korte","given":"David","affiliations":[{"id":24614,"text":"North Carolina Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953247,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Crawford, Matthew","contributorId":224687,"corporation":false,"usgs":false,"family":"Crawford","given":"Matthew","email":"","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953248,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70273288,"text":"70273288 - 2025 - Regional characterization of coal resources in the U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2026-01-05T14:46:57.476228","indexId":"70273288","displayToPublicDate":"2025-12-19T08:40:14","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Regional characterization of coal resources in the U.S. Gulf Coast","docAbstract":"There is increasing interest in extracting critical minerals (CM), including rare earth elements (REE), from coals in the United States to address the overreliance on imported REE. The U.S. Gulf Coast and the Williston basins are the two major lignite-bearing basins within the country. Recent REE and CM studies of the lignite in these basins have indicated that the coals may be a viable source material for REE and CM extraction. To evaluate in-place coal as a potential source of REE and CM, the coal resources need to be quantified. This study presents the results of a regional analysis of the U.S. Gulf Coast lignite and bituminous coal resources that might be available as potential sources of REE and CM. The resource analysis used kriging methods to develop isopleth maps of cumulative coal thickness throughout the region using data from 31,181 drill holes and other data points. The estimated total coal resource in the Gulf Coast is about 83 billion metric tons in the upper 90 m (~ 300 ft) of the subsurface. Texas accounted for 40 percent (32 billion metric tons) of the total resource, followed by Mississippi (24 %, 20 billion metric tons), Louisiana (14 %, 12 billion metric tons), Tennessee (10 %, 8.5 billion metric tons), and Arkansas (6 %, 5.1 billion metric tons). The remaining states each accounted for less than 5 percent of the total resource. Georgia had the smallest resource estimated at 7 million metric tons. Here we report the first known state-wide lignite resource estimates for Georgia, Kentucky (820 million metric tons), and Missouri (1,800 million metric tons). A comparison of the results of this study with those of previous Gulf Coast and Williston Basin resource studies is difficult because each study used different data sources, assessment methodologies, overburden depths, and qualifying coal thicknesses. Coal-power electric generation has sharply decreased in past decades and mining of these coals for CM and REE could provide additional co-products such as activated carbon and other uses such as fertilizer (soil enhancer).
","language":"English","publisher":"EarthArXiv","doi":"10.31223/X53J17","usgsCitation":"Warwick, P., Reedy, R.C., and Scanlon, B.R., 2025, Regional characterization of coal resources in the U.S. Gulf Coast: EarthArXiv, preprint posted December 19, 2025, https://doi.org/10.31223/X53J17.","productDescription":"31 p.","ipdsId":"IP-179450","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":498314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C. 0009-0007-4810-7578","orcid":"https://orcid.org/0009-0007-4810-7578","contributorId":364779,"corporation":false,"usgs":false,"family":"Reedy","given":"Robert","middleInitial":"C.","affiliations":[{"id":86975,"text":"The Universality of Texas at Austin, Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":953207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scanlon, Bridget R. 0000-0002-1234-4199","orcid":"https://orcid.org/0000-0002-1234-4199","contributorId":328586,"corporation":false,"usgs":false,"family":"Scanlon","given":"Bridget","email":"","middleInitial":"R.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":953208,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273414,"text":"70273414 - 2025 - Integrating theory and empirical patterns: Fish body size distributions, life history traits, and environmental flows in streams","interactions":[],"lastModifiedDate":"2026-01-13T14:54:18.322475","indexId":"70273414","displayToPublicDate":"2025-12-19T07:46:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Integrating theory and empirical patterns: Fish body size distributions, life history traits, and environmental flows in streams","docAbstract":"Individual size distributions (ISDs) are prominent in ecological research and may support resource managers with ecosystem-scale objectives. We use a database of individual size measurements for US stream fishes to test for direct and indirect effects of traits, flow regimes, and land use on the interspecific ISD exponent. Path analysis indicates that traits have strong, direct effects on ISD. Flow and land use effects on the exponent are largely indirectly mediated by their influences on species traits. ISD exponents increase (abundances of larger-bodied individuals increase, relative to smaller-bodied) when environments favor higher trophic levels, warmer thermal tolerances, and periodic life histories. Alternatively, ISD exponents decrease in systems that favor opportunistic life histories. Our flexible modeling framework that includes direct and indirect effects of traits, flow regimes, and land use on ISD could be expanded to incorporate additional variables that interact with flow (e.g., temperature and physical habitat) to assess of effects of multiple stressors on aquatic ecosystem functioning.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adu4026","usgsCitation":"Woods, T., McGarvey, D.J., Cashman, M.J., Meador, M.R., Carlisle, D.M., Eng, K., Kopp, D.A., and Maloney, K.O., 2025, Integrating theory and empirical patterns: Fish body size distributions, life history traits, and environmental flows in streams: Science Advances, v. 11, no. 51, eadu4026, 11 p., https://doi.org/10.1126/sciadv.adu4026.","productDescription":"eadu4026, 11 p.","ipdsId":"IP-172116","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498692,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adu4026","text":"Publisher Index Page"},{"id":498580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"11","issue":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGarvey, Daniel J.","contributorId":201505,"corporation":false,"usgs":false,"family":"McGarvey","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":953630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":953631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":953632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":953633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kopp, Darin A.","contributorId":361648,"corporation":false,"usgs":false,"family":"Kopp","given":"Darin","middleInitial":"A.","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":953635,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953636,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273795,"text":"70273795 - 2025 - Fungi, fire, and feedbacks: Grasses and wildfire interact to alter ectomycorrhizal fungal communities and decrease tree seedling growth","interactions":[],"lastModifiedDate":"2026-01-30T16:50:39.742874","indexId":"70273795","displayToPublicDate":"2025-12-18T09:42:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Fungi, fire, and feedbacks: Grasses and wildfire interact to alter ectomycorrhizal fungal communities and decrease tree seedling growth","docAbstract":"Wildfire and its effects, including changes to soil biota and the introduction of invasive or seeded grasses, can cause long-term shifts in ecological communities. Post-wildfire establishment of long-lived trees and shrubs is a critical bottleneck to recovering native plant communities. Ectomycorrhizal fungi (EMF) can improve plant responses to stressors and influence seedling establishment following wildfire, but little is known about how introduced grasses alter plant-fungal relationships and influence woody plant recovery. We investigated how piñon pine (Pinus edulis) EMF colonization and growth responded to soil wildfire history and novel grasses. Piñon seedlings were grown in soils from areas that burned in a stand-replacing fire nearly two decades prior or in soils from unburned piñon-juniper woodlands. Each piñon was grown with an invasive grass (Bromus tectorum), a native rhizomatous grass (Pascopyrum smithii) or another piñon seedling. Even ∼20 years after fire, EMF community composition in burned areas differed from that of unburned woodlands. Fire history and plant neighbor identity interacted to affect EMF abundance. Piñon seedling biomass was positively associated with EMF abundance in unburned woodland soils, but not in post-burn soils, suggesting that the EMF community in unburned woodlands is more beneficial. Importantly, the presence of either an invasive or native grass had a negative effect on seedling growth and EMF abundance, resulting in an average 61.4 % drop in EMF abundance and altered EMF community composition. Our findings suggest that plant species interactions, long-term effects of fire on soil, and EMF may determine the trajectory of woodland recovery following wildfire.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2025.123197","usgsCitation":"Trimber, G., Reed, S.C., Bradford, J., Lauria, C.M., Spector, T., Rondeau, R., Phillips, M.L., and Gehring, C., 2025, Fungi, fire, and feedbacks: Grasses and wildfire interact to alter ectomycorrhizal fungal communities and decrease tree seedling growth: Forest Ecology and Management, v. 603, 123197, 11 p., https://doi.org/10.1016/j.foreco.2025.123197.","productDescription":"123197, 11 p.","ipdsId":"IP-179643","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Mesa Verde National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.5789541418332,\n 37.33103870231841\n ],\n [\n -108.5789541418332,\n 37.15677700278685\n ],\n [\n -108.27805784539187,\n 37.15677700278685\n ],\n [\n -108.27805784539187,\n 37.33103870231841\n ],\n [\n -108.5789541418332,\n 37.33103870231841\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"603","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trimber, G.M.","contributorId":365810,"corporation":false,"usgs":false,"family":"Trimber","given":"G.M.","affiliations":[{"id":87225,"text":"Center for Adaptable Western Landscapes, Campus Box 6077, Northern Arizona University, Flagstaff, Arizona; Department of Biological Sciences, 617 S Beaver St., Northern Arizona University, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":954846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954848,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauria, Cara Marie 0000-0001-8914-8041","orcid":"https://orcid.org/0000-0001-8914-8041","contributorId":271066,"corporation":false,"usgs":true,"family":"Lauria","given":"Cara","email":"","middleInitial":"Marie","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954849,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Spector, T.","contributorId":365811,"corporation":false,"usgs":false,"family":"Spector","given":"T.","affiliations":[{"id":87226,"text":"U.S. Forest Service, Intermountain Region 4, 324 25th Street, Ogden, Utah","active":true,"usgs":false}],"preferred":false,"id":954850,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rondeau, R.J.","contributorId":365812,"corporation":false,"usgs":false,"family":"Rondeau","given":"R.J.","affiliations":[{"id":87227,"text":"Colorado Natural Heritage Program, Hesperus, Colorado","active":true,"usgs":false}],"preferred":false,"id":954851,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Michala Lee 0000-0001-7005-8740","orcid":"https://orcid.org/0000-0001-7005-8740","contributorId":245186,"corporation":false,"usgs":true,"family":"Phillips","given":"Michala","email":"","middleInitial":"Lee","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":954852,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gehring, C.A.","contributorId":365813,"corporation":false,"usgs":false,"family":"Gehring","given":"C.A.","affiliations":[{"id":87225,"text":"Center for Adaptable Western Landscapes, Campus Box 6077, Northern Arizona University, Flagstaff, Arizona; Department of Biological Sciences, 617 S Beaver St., Northern Arizona University, Flagstaff, Arizona","active":true,"usgs":false}],"preferred":false,"id":954853,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273670,"text":"70273670 - 2025 - Landscape associations and population genetics of a generalist carnivore at a range limit","interactions":[],"lastModifiedDate":"2026-01-22T15:40:26.735595","indexId":"70273670","displayToPublicDate":"2025-12-18T09:26:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Landscape associations and population genetics of a generalist carnivore at a range limit","docAbstract":"American black bear (Ursus americanus) sightings have increased in the Oklahoma Panhandle, an area outside of the species’ historical range, prompting an assessment of bears in the region. We used camera traps and an occupancy modeling framework to identify factors influencing bear detection and space-use patterns. We used noninvasive genetic sampling techniques to evaluate genetic diversity, population structure, and bear abundance in the region. During the summers of 2022–2023, we deployed cameras at 160 sites across western Oklahoma (USA) and detected ≥1 bear at 20 sites. The most-supported model from our single-season single-species analysis indicated that bear detection was positively associated with temperature and precipitation, negatively associated with day of year, and differed between years. The most-supported model indicated that bear space use was negatively associated with elevation (β = −0.013, 85% CI = −0.025, 0.000), and positively associated with slope (β = 0.645, 85% CI = 0.305, 0.984) and coarse woody debris counts (β = 1.539, 85% CI = 0.314, 2.765). We deployed 41 hair snares in Oklahoma resulting in the collection of 153 hair samples and received 69 tissue samples from black bears harvested in northeastern New Mexico. Using 11 microsatellite markers, we identified 21 (12M:9F) bears in western Oklahoma, and 69 (40M:29F) in New Mexico. We found evidence that bears occurring in Oklahoma were an extension of a previously documented population that occurred in northcentral New Mexico. We detected significant population-level heterozygote deficiency (P = 0.013) compared to expectations under Hardy-Weinberg equilibrium. Using capture with replacement models, we estimated 26 (95% CI = 19–43) bears in western Oklahoma during 2022–2023. Our results provide baseline data on population distribution, abundance, and genetic health of bears in the region and identify factors that may drive human-bear conflicts as the bear population increases in western Oklahoma.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0334492","usgsCitation":"Kleeberg, B.A., Lonsinger, R.C., Adams, J.R., Waits, L.P., and Fairbanks, W.S., 2025, Landscape associations and population genetics of a generalist carnivore at a range limit: PLoS ONE, v. 20, no. 12, e0334492, 20 p., https://doi.org/10.1371/journal.pone.0334492.","productDescription":"e0334492, 20 p.","ipdsId":"IP-177766","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0334492","text":"Publisher Index Page"},{"id":498839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.09593028457614,\n 37.178660674614676\n ],\n [\n -105.09593028457614,\n 35.77293937435742\n ],\n [\n -102.98497241644081,\n 35.792025688725346\n ],\n [\n -102.99009181457951,\n 36.495588393533026\n ],\n [\n -102.46725295705954,\n 36.50359277600708\n ],\n [\n -102.43344614818959,\n 37.178660674614676\n ],\n [\n -105.09593028457614,\n 37.178660674614676\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Kleeberg, Bailey A.","contributorId":365394,"corporation":false,"usgs":false,"family":"Kleeberg","given":"Bailey","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":954254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":954255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jennifer R.","contributorId":365395,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":954256,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waits, Lisette P.","contributorId":365396,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","middleInitial":"P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":954257,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fairbanks, W. Sue","contributorId":365397,"corporation":false,"usgs":false,"family":"Fairbanks","given":"W.","middleInitial":"Sue","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":954258,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273306,"text":"70273306 - 2025 - A comprehensive geologic framework of the National Crustal Model for seismic hazard studies in the conterminous United States","interactions":[],"lastModifiedDate":"2026-01-06T15:08:25.879415","indexId":"70273306","displayToPublicDate":"2025-12-18T08:56:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive geologic framework of the National Crustal Model for seismic hazard studies in the conterminous United States","docAbstract":"A three-dimensional (3D) geologic framework has been developed for the conterminous United States (U.S.) as part of the U.S. Geological Survey National Crustal Model to enhance seismic hazard modeling. The geologic framework is created from geologic maps and multiple subsurface geologic unit boundaries including the base of the Miocene, Cenozoic, Phanerozoic, and the Mohorovičić discontinuity. Modifications are made to surficial geologic maps to remove discontinuities across state and country borders. The subsurface distribution of rock type and age is extrapolated from the surface, seeded with subsurface geologic information, and constrained by a map of basement geology. The framework provides the basis for estimates of subsurface seismic velocity and density that is needed to improve estimates of earthquake ground shaking and seismic hazard. The present framework greatly expands and updates a previously published 3D geologic framework of the western part of the U.S. that was itself a first-of-its-kind digital 3D portrayal of the nation.
","language":"English","publisher":"GeoScienceWorld","doi":"10.2113/2025/lithosphere_2025_117","usgsCitation":"Boyd, O.S., and Sweetkind, D., 2025, A comprehensive geologic framework of the National Crustal Model for seismic hazard studies in the conterminous United States: Lithosphere, v. 2025, no. 4, lithosphere_2025_117, 16 p., https://doi.org/10.2113/2025/lithosphere_2025_117.","productDescription":"lithosphere_2025_117, 16 p.","ipdsId":"IP-173651","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":498469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2025/lithosphere_2025_117","text":"Publisher Index Page"},{"id":498347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"2025","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":953290,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}