The decimation of reefs from stony coral tissue loss disease prompted the use of a topical amoxicillin treatment to prevent coral mortality. Application of this treatment led to concerns about unintentional impacts such as potential alteration of the coral microbiome and possible spread of antibiotic resistance. We used three different methodologies—microbial RNA sequencing, 16S rRNA amplicon surveys, and microbial qPCR array—to assess these concerns and to establish a baseline of antibiotic resistance genes (ARGs) in untreated coral microbes. We conducted microbial RNA sequencing on wild Montastraea cavernosa coral mucus samples collected before and 24 h after amoxicillin application. While diverse antibiotic resistance genes (ARGs) were expressed, no differences in ARG expression were detected after amoxicillin treatment. Additionally, there were no notable changes in the microbial communities between the before and after samples. In a separate experiment, a microbial qPCR array was used to assess differences in ARGs over longer timescales using cores from wild Colpophyllia natans, comparing never-treated corals with ones treated a single time seven months prior and with those treated multiple times seven months and more prior. No clinically relevant ARGs were detected across any samples. A small number of above-detection reads (4 in the never-treated corals, 2 in the once-treated corals, and 0 in the multi-treated corals) may indicate weak amplification of similar environmental (non-anthropogenic) ARGs in the corals. Results indicate that the localized topical application of amoxicillin to prevent mortality of SCTLD-affected corals does not: (1) significantly disrupt microbiomes, (2) increase ARG expression in adjacent tissues of these species within 24 h, nor (3) increase abundance of clinically relevant ARGs over a 7 month time period.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00338-026-02832-z","usgsCitation":"Neely, K.L., Kellogg, C.A., Voelschow, J.J., Cauvin, A.R., Reed, S.A., Rubin, E., and Meyer, J.L., 2026, Assessment of antibiotic resistance genes in Caribbean corals, including those treated with amoxicillin: Coral Reefs, 14 p., https://doi.org/10.1007/s00338-026-02832-z.","productDescription":"14 p.","ipdsId":"IP-165548","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500253,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-026-02832-z","text":"Publisher Index Page"},{"id":500143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys National Marine Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.88542785512071,\n 25.86582460746976\n ],\n [\n -81.88542785512071,\n 24.727471962589036\n ],\n [\n -79.85775116113955,\n 24.727471962589036\n ],\n [\n -79.85775116113955,\n 25.86582460746976\n ],\n [\n -81.88542785512071,\n 25.86582460746976\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Neely, Karen L.","contributorId":366376,"corporation":false,"usgs":false,"family":"Neely","given":"Karen","middleInitial":"L.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":955787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voelschow, Julie Jenice 0000-0002-6605-9668","orcid":"https://orcid.org/0000-0002-6605-9668","contributorId":298433,"corporation":false,"usgs":true,"family":"Voelschow","given":"Julie","email":"","middleInitial":"Jenice","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cauvin, Allison R.","contributorId":297877,"corporation":false,"usgs":false,"family":"Cauvin","given":"Allison","middleInitial":"R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sydney A.M.","contributorId":366378,"corporation":false,"usgs":false,"family":"Reed","given":"Sydney","middleInitial":"A.M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rubin, Ewelina","contributorId":366380,"corporation":false,"usgs":false,"family":"Rubin","given":"Ewelina","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meyer, Julie L.","contributorId":366382,"corporation":false,"usgs":false,"family":"Meyer","given":"Julie","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":955793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274696,"text":"70274696 - 2026 - Vulnerability of mangrove resources to sea-level rise on Sanibel Island, Florida, USA","interactions":[],"lastModifiedDate":"2026-04-06T15:07:30.716633","indexId":"70274696","displayToPublicDate":"2026-02-16T07:57:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of mangrove resources to sea-level rise on Sanibel Island, Florida, USA","docAbstract":"Accelerating sea-level rise (SLR) is poised to reshape coastal environments over the coming decades, providing a challenge to land managers who need actionable information. Mangroves have an innate ability to keep pace with some SLR but may drown under the higher rates projected by the end of the century. Understanding local mangrove resilience to SLR requires understanding of historic and contemporary accretion rates, productivity, and forest elevations relative to tidal inundation. We applied the WARMER3 modeling framework to assess future mangrove resilience to SLR and blue carbon storage across the “Ding” Darling National Wildlife Refuge on Sanibel Island in southwest Florida, USA. We found that Sanibel mangroves are sensitive to the SLR scenario, with projected losses ranging from 19 to 70% by 2100. Across SLR scenarios, projected areal extent was similar until about 2035 and then diverge, coincident with projected acceleration in the rate of SLR. Threshold analysis indicates found that Sanibel mangroves are likely to submerge when rates exceed 6.5 mm yr−1. Currently, the mangrove forest of our study domain holds an estimated 214,000 Mg of carbon but is likely to decrease as mangroves convert to open water in the second half of this century. For “Ding” Darling, these site-specific projections identify when losses in mangrove resources are most likely, providing a basis to prioritize local management actions and conservation resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2026.109775","usgsCitation":"Buffington, K.J., Krauss, K.W., Thorne, K., Conrad, J.R., Drexler, J.Z., and Zhu, Z., 2026, Vulnerability of mangrove resources to sea-level rise on Sanibel Island, Florida, USA: Estuarine, Coastal and Shelf Science, v. 333, 109775, 10 p., https://doi.org/10.1016/j.ecss.2026.109775.","productDescription":"109775, 10 p.","ipdsId":"IP-178704","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Sanibel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.1441386414859,\n 26.482734748273558\n ],\n [\n -82.15537584886745,\n 26.46118026405503\n ],\n [\n -82.13390475619293,\n 26.44806495228032\n ],\n [\n -82.0883539334147,\n 26.435668281802975\n ],\n [\n -82.05103035175483,\n 26.441058612733855\n ],\n [\n -82.05103035175483,\n 26.470880027687045\n ],\n [\n -82.09357120826992,\n 26.472137210863977\n ],\n [\n -82.1441386414859,\n 26.482734748273558\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"333","noUsgsAuthors":false,"publicationDate":"2026-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Buffington, Kevin J. 0000-0001-9741-1241 kbuffington@usgs.gov","orcid":"https://orcid.org/0000-0001-9741-1241","contributorId":4775,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","email":"kbuffington@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W. 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":369271,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":87750,"text":"USGS-WARC","active":true,"usgs":false}],"preferred":false,"id":958723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Jeremy R.","contributorId":369272,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":958725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":958726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":290659,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhiliang","affiliations":[{"id":62470,"text":"U.S. Geological Survey, Reston, VA","active":true,"usgs":false}],"preferred":false,"id":958727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274164,"text":"70274164 - 2026 - Breeding shorebird surveys in the Arctic National Wildlife Refuge, Alaska, suggest population declines over two decades for most species","interactions":[],"lastModifiedDate":"2026-05-19T15:35:13.921066","indexId":"70274164","displayToPublicDate":"2026-02-16T07:35:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Breeding shorebird surveys in the Arctic National Wildlife Refuge, Alaska, suggest population declines over two decades for most species","docAbstract":"Shorebird populations are declining globally but it generally remains unclear how those declines translate to changes at the regional scale. We conducted the first longitudinal surveys of breeding shorebirds in Alaska under the Program for Regional and International Shorebird Monitoring (PRISM), resurveying the Coastal Plain (1002 Area) of the Arctic National Wildlife Refuge (NWR) in 2019 and 2022 to compare with initial surveys conducted in 2002 and 2004. Our goals were to (1) estimate contemporary population sizes of breeding shorebirds across this 6,249 km2 area, and (2) assess population trends for the species detected in both survey periods. We estimated population sizes for 16 species, with a combined total of 135,178 (95% CI: 113,532–156,824) in 2019 and 2022—a decline of approximately 17% (90% CI: –34% to + 3%) from 2002 and 2004 when the same survey methods were used. Four species showed a statistically significant decrease (α = 0.10): Calidris alpina arcticola (Dunlin), Limnodromus scolopaceus (Long-billed Dowitcher), Phalaropus lobatus (Red-necked Phalarope), and P. fulicarius (Red Phalarope). Only C. melanotos (Pectoral Sandpiper) showed a significant increase. Overall, 5 of 10 species—and all species combined—had a > 90% probability of decline. Population changes for the polygamous species (i.e., Phalaropus sp. and C. melanotos), which show irruptive breeding and low breeding site fidelity, may reflect temporary immigration or emigration driven by annual environmental variation, rather than true population change. Nevertheless, the overall pattern of declines aligns with migration surveys outside the Arctic. These findings highlight the vulnerability of Arctic-breeding shorebirds to threats throughout their annual cycles and underscore the potential for sustained long-term monitoring in this rapidly changing region to inform effective, flyway-scale conservation strategies across the Western Hemisphere.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duag022","usgsCitation":"Brown, S.C., Lyons, J., Saalfeld, S.T., Schulte, S., Latty, C.J., McGarvey, M., Kidd, L.R., Carr, K.L., and Lanctot, R.B., 2026, Breeding shorebird surveys in the Arctic National Wildlife Refuge, Alaska, suggest population declines over two decades for most species: Ornithological Applications, v. 128, no. 2, p. 1-15, https://doi.org/10.1093/ornithapp/duag022.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-178597","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":500721,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500821,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duag022","text":"Publisher Index Page"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145.18568704946426,\n 68.80988789172946\n ],\n [\n -145.18568704946426,\n 68.30992788035755\n ],\n [\n -143.2945429606439,\n 68.30992788035755\n ],\n [\n -143.2945429606439,\n 68.80988789172946\n ],\n [\n -145.18568704946426,\n 68.80988789172946\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Stephen C.","contributorId":367088,"corporation":false,"usgs":false,"family":"Brown","given":"Stephen","middleInitial":"C.","affiliations":[{"id":84665,"text":"Manomet Conservation Sciences","active":true,"usgs":false}],"preferred":false,"id":956736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":228916,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":956737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saalfeld, Sarah T.","contributorId":367089,"corporation":false,"usgs":false,"family":"Saalfeld","given":"Sarah","middleInitial":"T.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schulte, Shiloh","contributorId":354797,"corporation":false,"usgs":false,"family":"Schulte","given":"Shiloh","affiliations":[{"id":84665,"text":"Manomet Conservation Sciences","active":true,"usgs":false}],"preferred":false,"id":956739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latty, Christopher J.","contributorId":367090,"corporation":false,"usgs":false,"family":"Latty","given":"Christopher","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McGarvey, Metta","contributorId":332828,"corporation":false,"usgs":false,"family":"McGarvey","given":"Metta","email":"","affiliations":[{"id":79653,"text":"Manomet, Inc.","active":true,"usgs":false}],"preferred":false,"id":956741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kidd, Lindall R.","contributorId":367091,"corporation":false,"usgs":false,"family":"Kidd","given":"Lindall","middleInitial":"R.","affiliations":[{"id":79655,"text":"BirdLife Australia","active":true,"usgs":false}],"preferred":false,"id":956742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carr, Kirsti L.K.","contributorId":367092,"corporation":false,"usgs":false,"family":"Carr","given":"Kirsti","middleInitial":"L.K.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lanctot, Richard B.","contributorId":367093,"corporation":false,"usgs":false,"family":"Lanctot","given":"Richard","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956744,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274127,"text":"70274127 - 2026 - Revisiting chlorophyll a thresholds for San Francisco Bay: Insights from observations of phytoplankton molecular abundance","interactions":[],"lastModifiedDate":"2026-02-26T17:04:58.420993","indexId":"70274127","displayToPublicDate":"2026-02-14T09:59:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting chlorophyll a thresholds for San Francisco Bay: Insights from observations of phytoplankton molecular abundance","docAbstract":"Harmful Algal Blooms (HABs) are a hazard for coastal environments worldwide; identifying screening thresholds of chlorophyll-a (chl-a) associated with increased risk of HABs is a management priority. Molecular surveillance of coastal phytoplankton and bivalve biotoxins could be used to link chl-a with HAB risk, but requires an understanding of whether the HAB risks increase uniformly as chl-a rises, or whether some taxa are disproportionately favored, and if these relationships vary by season. In this study, we present a novel use of molecular abundance data to investigate the scientific bases for estuarine chl-a thresholds protective against HABs. In San Francisco Bay (SFB), California, the relationship between molecular relative abundance (as measured by 18S metabarcoding) of nine different HAB taxa, absolute quantitative polymerase chain reaction (qPCR) abundance, and mussel toxin concentrations of a subset of the taxa were investigated for thresholds as a function of increasing chl-a. Our results show most HAB taxa did not increase in absolute or relative abundance during SFB’s spring bloom interval, when chl-a levels were highest (>10 µg/L) but the assemblage was dominated by non-harmful diatoms. However, several flagellated, mixotrophic taxa did increase above their molecular baseline in fall, and the combined probability of any HAB occurring above baseline was elevated when chl-a reached ∼4.6 µg/L in the fall. This work demonstrates the promise of molecular approaches in disentangling the seasonally complex interplay between stressors and phytoplankton/HAB community responses and has the potential to provide clearer, more cost-effective monitoring and mitigation strategies for managers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2026.103086","usgsCitation":"Killam, D., Bouma-Gregson, K., Sutula, M., Kudela, R., Hagy, J., Anderson, S., and Senn, D., 2026, Revisiting chlorophyll a thresholds for San Francisco Bay: Insights from observations of phytoplankton molecular abundance: Harmful Algae, v. 154, 103086, 16 p., https://doi.org/10.1016/j.hal.2026.103086.","productDescription":"103086, 16 p.","ipdsId":"IP-180259","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":500614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2026.103086","text":"Publisher Index Page"},{"id":500555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.71825250199157,\n 38.24752479202505\n ],\n [\n -122.71825250199157,\n 37.383291571958864\n ],\n [\n -121.97685049909562,\n 37.383291571958864\n ],\n [\n -121.97685049909562,\n 38.24752479202505\n ],\n [\n -122.71825250199157,\n 38.24752479202505\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"154","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Killam, Daniel 0000-0001-7569-1828","orcid":"https://orcid.org/0000-0001-7569-1828","contributorId":364654,"corporation":false,"usgs":false,"family":"Killam","given":"Daniel","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":956609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutula, Martha","contributorId":191008,"corporation":false,"usgs":false,"family":"Sutula","given":"Martha","email":"","affiliations":[],"preferred":false,"id":956611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kudela, Raphael","contributorId":196461,"corporation":false,"usgs":false,"family":"Kudela","given":"Raphael","affiliations":[],"preferred":false,"id":956612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagy, James","contributorId":196462,"corporation":false,"usgs":false,"family":"Hagy","given":"James","affiliations":[],"preferred":false,"id":956613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Stephanie","contributorId":367032,"corporation":false,"usgs":false,"family":"Anderson","given":"Stephanie","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":956614,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Senn, David","contributorId":349909,"corporation":false,"usgs":false,"family":"Senn","given":"David","affiliations":[{"id":83533,"text":"San Francisco Estuary Institute, Richmond, CA, USA","active":true,"usgs":false}],"preferred":false,"id":956615,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275542,"text":"70275542 - 2026 - Invasion potential of nonnative fishes through a large western dam into an iconic and vulnerable ecosystem","interactions":[],"lastModifiedDate":"2026-05-19T15:44:07.710752","indexId":"70275542","displayToPublicDate":"2026-02-14T07:50:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Invasion potential of nonnative fishes through a large western dam into an iconic and vulnerable ecosystem","docAbstract":"Native fishes face imperilment due to habitat loss and fragmentation, megadrought, invasive species, and synergies amongst threats. These threats coalesce at Glen Canyon Dam (GCD), which impounds the Colorado River to create Lake Powell, a reservoir inhabited by a suite of nonnative fishes. Water level in Lake Powell has declined precipitously due to water overallocation and megadrought, increasing the risk of nonnative fish entrainment through the dam, as the penstocks draw water from the epilimnion. Our goal was to characterize the distribution and abundance of nonnative fishes in the vicinity of GCD and identify environmental conditions that may increase entrainment. We used active and passive sampling, hydroacoustics, and acoustic telemetry to assess the distribution and abundance of fishes. When the reservoir was stratified fish remained in the epilimnion, were present near the GCD penstocks, and thus at high risk of entrainment. When the reservoir was mixed, fish generally occupied shallower, warmer areas further from GCD, but this varied among species. The distribution of nonnative fish and accompanying risk of entrainment varied by season and epilimnion depth. Retaining more water in Lake Powell to draw water from below the thermocline would reduce the risk of nonnative fish entrainment into Grand Canyon.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-026-06137-8","usgsCitation":"Friesen, B., Pennock, C.A., and Budy, P., 2026, Invasion potential of nonnative fishes through a large western dam into an iconic and vulnerable ecosystem: Hydrobiologia, v. 853, p. 3249-3268, https://doi.org/10.1007/s10750-026-06137-8.","productDescription":"20 p.","startPage":"3249","endPage":"3268","ipdsId":"IP-174501","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":503931,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504169,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-026-06137-8","text":"Publisher Index Page"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Glen Canyon Dam, Lake Powell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.44896948736388,\n 37.25405554750887\n ],\n [\n -111.88286128357765,\n 36.87715647718177\n ],\n [\n -110.80300460888157,\n 36.824168436386316\n ],\n [\n -110.4477309484941,\n 37.20632124096176\n ],\n [\n -110.44321031550936,\n 37.62549296944364\n ],\n [\n -110.86061754284202,\n 37.59475093134766\n ],\n [\n -111.44896948736388,\n 37.25405554750887\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"853","noUsgsAuthors":false,"publicationDate":"2026-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Friesen, Barrett","contributorId":370978,"corporation":false,"usgs":false,"family":"Friesen","given":"Barrett","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":960841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennock, Casey A.","contributorId":370979,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey","middleInitial":"A.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":960842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960843,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273914,"text":"sir20265124 - 2026 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, August 8–9, 2023","interactions":[],"lastModifiedDate":"2026-04-10T15:00:44.691323","indexId":"sir20265124","displayToPublicDate":"2026-02-13T11:09:36","publicationYear":"2026","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":"2026-5124","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri River near Kansas City, Missouri, August 8–9, 2023","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, August 8–9, 2023","docAbstract":"Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 8 bridge crossings of the Missouri River near Kansas City, Missouri, on August 8–9, 2023. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches that extended about 1,550 to 1,640 feet longitudinally and generally extended laterally across the active channel from bank to bank during low floodflow to nonflood conditions. These surveys provided the channel geometry and hydraulic conditions of the river at the time of the surveys and provided characteristics of scour holes, which may be useful in developing or verifying predictive guidelines or equations for computing potential scour depth. The data collected from the surveys may also be useful to the Missouri Department of Transportation as a record of low floodflow conditions in regards to the stability and integrity of the bridges with respect to bridge scour. Bathymetric data were collected around every in-channel pier. Scour holes were at most piers where bathymetry could be obtained, except for those piers on banks or surrounded by riprap. All the bridge sites in this study were surveyed and documented in previous studies.
The average difference between the bathymetric surfaces ranged from 0.07 to 4.16 feet higher in 2023 than 2019, which indicates overall deposition between the survey dates, as might be expected based purely on streamflow at the time of the survey. However, the average difference between the bathymetric surfaces ranged from 1.44 feet higher to 1.88 feet lower in 2023 than 2015, which indicates a dynamic equilibrium of scour and deposition overall between those surveys, despite the lower flow conditions in 2023. Similarly, the average difference between the bathymetric surfaces ranged from 3.18 feet higher to 5.19 feet lower in 2023 than 2011, which indicates a relative equilibrium between scour and deposition overall, albeit the trend was toward scour as might be expected because of the substantial flood event in 2011.
Riprap blankets and alignment to flow had a substantial effect on the size of the scour hole for a given pier. Piers that were partially or fully surrounded by riprap blankets had scour holes that were substantially smaller (to nonexistent) compared to piers with no rock or riprap and effectively mitigated the scour holes historically observed at these piers. Several of the structures had piers that were skewed to primary approach flow. At most of the structures, the scour hole was deeper and longer on the side of the pier with impinging flow than the leeward side, with some amount of deposition on the leeward side, as typically observed at piers skewed to approach flow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265124","collaboration":"Prepared in cooperation with Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., and Rivers, B.C., 2026, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River near Kansas City, Missouri, August 8–9, 2023: U.S. Geological Survey Scientific Investigations Report 2026–5124, 105 p., https://doi.org/10.3133/sir20265124.","productDescription":"Report: xi, 105 p.; Data Release; Dataset; 44 Oversize Map Figures: 17 x 11 inches","numberOfPages":"122","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-173988","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500083,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5124/images/"},{"id":500082,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1XUN9A8","text":"USGS data release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, August 8–9, 2023"},{"id":500080,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265124/full"},{"id":500359,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119211.htm","linkFileType":{"id":5,"text":"html"}},{"id":500081,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":500079,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2026/5124/downloads/","text":"Oversize figures","linkFileType":{"id":1,"text":"pdf"}},{"id":500078,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5124/sir20265124.XML"},{"id":500077,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5124/sir20265124.pdf","text":"Report","size":"31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5124"},{"id":500076,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5124/coverthb.jpg"}],"country":"United States","state":"Kansas, Missouri","city":"Kansas City","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.667,\n 39.2\n ],\n [\n -94.23,\n 39.2\n ],\n [\n -94.23,\n 39.07\n ],\n [\n -94.667,\n 39.07\n ],\n [\n -94.667,\n 39.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Hydrologic models for the Wards Brook valley near Fryeburg, Maine were developed for historical (2016 – 2021) and hypothetical future conditions (2046 – 2065 and 2080 – 2099) to understand the effects of groundwater withdrawals for bottled water and municipal use on hydrologic conditions (stream base flows and groundwater levels). Analyses showed that the simulated base flows in Wards Brook were reduced because of pumping for both municipal water supplies and for water bottling, and about half of the total pumping impact on the base flows in Wards Brook was from the bottled water extraction. Simulated flows were greater than the minimum recommended streamflow of 2,180 cubic meters per day (400 gallons per minute) throughout the historical period. Simulated groundwater levels at two of three nearby ponds (Round Pond and Davis Pond) were minimally affected by pumping conditions, and effects were primarily from the municipal well closest to the ponds.
Several estimates of future projected recharge were used to understand the potential effects of groundwater withdrawals on hydrologic conditions under multiple hypothetical climate conditions. Annual projected recharge rates in the mid- and late-21st century from two climate scenarios (stabilized greenhouse-gas emissions and high greenhouse-gas emissions) were similar to rates for 2016 – 2021. However, monthly recharge patterns for the future periods shifted toward more recharge in the winter months (December, January, and February) and less recharge in April, May, and October relative to 2016 – 2021.
The lowest mean monthly base flows from the future emission scenarios all remain larger than the minimum recommended streamflow and indicate no long-term declines in flow relative to historical conditions. However, simulated base flows during hypothetical 3-year drought scenarios declined below minimum recommended streamflow during the summer months in the stabilized- and high-emission scenarios in the mid-21st century. Although water is generally plentiful in the Wards Brook valley, reduced pumping may be needed to maintain streamflows in Wards Brook under future climate conditions similar to modeled drought scenarios.
Constructed value of information (CVoI) is an expert elicitation decision-analytic tool used to prioritize sources of uncertainty based on their potential to improve decision outcomes if resolved. Despite increased application of CVoI, the robustness of CVoI prioritization of sources of uncertainty relative to differences in expert elicitation and scoring methods has not been evaluated. We engaged a group of species experts in a decision-analytic process to elicit uncertainties, framed as alternative hypotheses, about current population declines of the American kestrel (Falco sparverius) in the United States. Participants scored 13 hypotheses across 3 CVoI criteria, which are defined as constructed scales. Rather than experts selecting a single score per criterion, we used a likelihood point method to incorporate parametric uncertainty in the scoring process, in which experts were given 100 points to distribute across possible score categories within the criterion-specific constructed scale. Experts provided scores over 2 scoring rounds, with an opportunity to review and discuss initial scores between rounds. We used a Shannon entropy calculation to quantify how evenly participants allotted their points. We used simulation to evaluate the robustness of our prioritization results relative to a scoring method in which participants selected a single score category for each criterion. Participants often spread their points across 2 adjacent scores, reflecting parametric uncertainty. For one third of the hypothesis-scoring round combinations, the prioritization results differed in approximately 50% of simulations. The highest scoring hypotheses related to how the use of artificial versus natural nest cavities affects fecundity or survival, whether winter roosting sites are a limiting factor for population growth, and whether gamebird habitat management may benefit kestrel populations. Our CVoI prioritization framework can be used to develop collaborative research that is directly relevant to a management decision and is an advance in eliciting more representative expert beliefs.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70227","usgsCitation":"Davis, K.P., Eaton, M.J., Bjerre, E.R., White, H.M., Boal, C.W., Herner-Thogmartin, J.H., Robinson, O., and Lawson, A.J., 2026, Constructed value of information with iterative scoring and parametric uncertainty to identify management-relevant research priorities for a declining raptor species: Conservation Biology, https://doi.org/10.1111/cobi.70227.","ipdsId":"IP-174796","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.70227","text":"Publisher Index Page"},{"id":502172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kristin P.","contributorId":369136,"corporation":false,"usgs":false,"family":"Davis","given":"Kristin","middleInitial":"P.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":958514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":958515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjerre, Emily R.","contributorId":369138,"corporation":false,"usgs":false,"family":"Bjerre","given":"Emily","middleInitial":"R.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Hillary M.","contributorId":369139,"corporation":false,"usgs":false,"family":"White","given":"Hillary","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herner-Thogmartin, Jennifer H.","contributorId":369140,"corporation":false,"usgs":false,"family":"Herner-Thogmartin","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958519,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Orin J.","contributorId":288389,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin J.","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":958684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958521,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274036,"text":"70274036 - 2026 - Habitat-based predictions of bridle shiner (Notropis bifrenatus) in the northeastern U.S.","interactions":[],"lastModifiedDate":"2026-02-23T18:10:39.262997","indexId":"70274036","displayToPublicDate":"2026-02-12T11:03:31","publicationYear":"2026","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":"Habitat-based predictions of bridle shiner (Notropis bifrenatus) in the northeastern U.S.","docAbstract":"We sought to assess bridle shiner (Notropis bifrenatus) habitat associations at local and regional scales across southern Maine and New Hampshire. We used local habitat data at 95 Maine sites to predict occupancy with classification and regression trees (CART). We then used ensemble species distribution models (SDMs) to model the historical (1898–2008) and current (2009–2022) ranges of the species. We used the BIOMOD platform to model the association between 35 environmental variables and bridle shiner presence during both time periods and at fine (pseudo-HUC14) and coarse (HUC12) spatial scales. We then calculated the change in predicted occupied drainages to estimate the change in the species' distribution at both scales. Within a site, bridle shiners were associated with submerged aquatic vegetation, organic substrate, and watermilfoil (Myriophyllum spp.). SDMs revealed an association with Appalachian (Hemlock-)Northern Hardwood Forest, sand substrate, and low-elevation terrain (at both spatial scales). Ensemble fine-scale SDMs suggest a substantial loss of historical bridle shiner habitat in both Maine (36% of drainages) and New Hampshire (16%), with comparable described losses (of 21% and 14%) at a coarse scale. Our local and regional models may be used to focus surveys on areas with high predicted habitat suitability or to inform habitat restoration efforts.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72413","usgsCitation":"Katz, L.S., Coghlan, S.M., Carpenter, M.A., Kinnison, M.T., Zydlewski, J.D., 2026, Habitat-based predictions of bridle shiner (Notropis bifrenatus) in the northeastern U.S.: Ecology and Evolution, v. 16, no. 1, e72413, 19 p., https://doi.org/10.1002/ece3.72413.","productDescription":"e72413, 19 p.","ipdsId":"IP-158442","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500597,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72413","text":"Publisher Index Page"},{"id":500439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -69.25429976691849,\n 47.475434309112075\n ],\n [\n -71.47637622335257,\n 45.210844648573726\n ],\n [\n -72.2134392335759,\n 43.872712909182994\n ],\n [\n -72.54074189044374,\n 42.739662976646855\n ],\n [\n -71.15118191830072,\n 42.68091951244142\n ],\n [\n -69.70815322174685,\n 43.6220110458515\n ],\n [\n -66.83114905877525,\n 44.72524582330068\n ],\n [\n -67.67285260858687,\n 45.844248966240016\n ],\n [\n -67.78415740622219,\n 47.198837764366964\n ],\n [\n -68.11347172586534,\n 47.38520895041782\n ],\n [\n -69.25429976691849,\n 47.475434309112075\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Lara S.","contributorId":366795,"corporation":false,"usgs":false,"family":"Katz","given":"Lara","middleInitial":"S.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":956239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coghlan, Stephen M. Jr.","contributorId":366796,"corporation":false,"usgs":false,"family":"Coghlan","given":"Stephen","suffix":"Jr.","middleInitial":"M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":956240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carpenter, Matthew A.","contributorId":366797,"corporation":false,"usgs":false,"family":"Carpenter","given":"Matthew","middleInitial":"A.","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":956241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":366798,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","middleInitial":"T.","affiliations":[{"id":87507,"text":"Maine Center for Genetics in the Environment","active":true,"usgs":false}],"preferred":false,"id":956242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":956243,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273895,"text":"70273895 - 2026 - Inference of pattern-based geological CO2 sequestration and oil recovery potential in a commingled main pay and residual oil zone CO2-EOR flood","interactions":[],"lastModifiedDate":"2026-02-13T18:54:27.652376","indexId":"70273895","displayToPublicDate":"2026-02-12T09:51:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16689,"text":"Geoenergy Science and Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Inference of pattern-based geological CO2 sequestration and oil recovery potential in a commingled main pay and residual oil zone CO2-EOR flood","title":"Inference of pattern-based geological CO2 sequestration and oil recovery potential in a commingled main pay and residual oil zone CO2-EOR flood","docAbstract":"Translocation is implemented worldwide as a conservation strategy for rare and endangered plant species, yet the factors that influence long-term success remain poorly understood. Remnant wild populations are often used as indicators to model habitat preference and select translocation sites, but such populations may be refugia from past biological or anthropogenic stressors and represent sub-optimal habitat conditions for focal taxa. To test assumptions about habitat preferences of rare species, we conducted a four-year experimental translocation of the Critically Endangered Hawaiian tree, ‘ohe mauka, Polyscias bisattenuata (Araliaceae), planting 3,700 saplings across eleven sites spanning diverse environmental conditions both within and beyond the species’ extant range. We measured seventeen predictor variables at the site and individual plant level in categories of climate, surrounding vegetation, soil chemistry, and genetic provenance. We used linear mixed effects models to assess relative effects of predictors on translocated plant survival, growth, and vigor. The factors which influenced plant performance shifted across ontogeny. The height of surrounding vegetation showed an initial negative relationship with two-year survival, but later showed a positive relationship with four-year growth. Four-year growth demonstrated a strong positive relationship with site annual mean temperature. Successful translocation sites were lower in elevation and warmer in temperature than conditions represented by remnant wild populations. Results demonstrate that basing translocation sites solely on limited extant wild occurrences can lead to suboptimal restoration practices, and experimental outplanting across broad conditions may help identify rare species' contemporary habitat preferences.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.111686","usgsCitation":"Douglas, J., Bai, M., Fortini, L., Yelenik, S.G., and Rønsted, N., 2026, Experimental translocation of a rare Hawaiian tree reveals disparity between remnant and potential habitat: Biological Conservation, v. 316, 111686, 14 p., https://doi.org/10.1016/j.biocon.2025.111686.","productDescription":"111686, 14 p.","ipdsId":"IP-172753","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":502101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2025.111686","text":"Publisher Index Page"},{"id":501926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kauai","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.43528948717787,\n 21.8600584707048\n ],\n [\n -159.31225642523046,\n 21.965179026209356\n ],\n [\n -159.27950254999953,\n 22.154674352412997\n ],\n [\n -159.3644769358584,\n 22.23581128374363\n ],\n [\n -159.5848810137864,\n 22.234993140593716\n ],\n [\n -159.77333377581635,\n 22.129242159745644\n ],\n [\n -159.80262962648277,\n 22.035753318333562\n ],\n [\n -159.7796155454661,\n 21.971740161149867\n ],\n [\n -159.6025771119729,\n 21.87649287101374\n ],\n [\n -159.43528948717787,\n 21.8600584707048\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"316","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas, Julia","contributorId":368953,"corporation":false,"usgs":false,"family":"Douglas","given":"Julia","affiliations":[{"id":40951,"text":"University of Hawai‘i - Mānoa","active":true,"usgs":false}],"preferred":false,"id":958166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bai, Mingzhou","contributorId":368954,"corporation":false,"usgs":false,"family":"Bai","given":"Mingzhou","affiliations":[{"id":50046,"text":"Technical University of Denmark","active":true,"usgs":false}],"preferred":false,"id":958167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":958168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":958169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rønsted, Nina","contributorId":368955,"corporation":false,"usgs":false,"family":"Rønsted","given":"Nina","affiliations":[{"id":87681,"text":"National Tropical Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":958170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274650,"text":"70274650 - 2026 - Intraspecific contact among white-tailed deer: A literature review and chronic wasting disease case study","interactions":[],"lastModifiedDate":"2026-04-02T16:47:01.123474","indexId":"70274650","displayToPublicDate":"2026-02-12T09:38:04","publicationYear":"2026","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":"Intraspecific contact among white-tailed deer: A literature review and chronic wasting disease case study","docAbstract":"White-tailed deer (Odocoileus virginianus) are a valuable game mammal in the eastern United States necessitating detailed understanding of disease transmission. We conducted a literature review on intraspecific contact (i.e., interactions wherein disease transmission may occur) among deer. From 69 studies, we identified five themes underlying research on intraspecific deer contact: physical touch, social groups, spatial overlap, association rates, and social networks. Visual observations determined physical touch to be infrequent (< 2 touches/h) and indicated deer social groups were dependent on spatial dynamics of parturition and dispersal; most females remained with matriarchal family groups while males dispersed and formed bachelor groups. Assessed using global positioning system (GPS) monitoring, spatial overlap and association rates (i.e., instances of deer in close spatial–temporal proximity) were higher in correspondence to within-group social dynamics, and between-group scores were correspondingly low. Social network analyses indicated between-group transmission may be driven by socially dominant males, often termed super-spreaders (i.e., hosts infecting disproportionately high numbers of healthy individuals). We investigated these themes via a case study of deer infected with chronic wasting disease (CWD) in southcentral Pennsylvania, United States. We assessed spatial overlap and association rates using GPS monitoring data from 180 deer. Our results supported findings in the literature, showing strong correlations among spatial overlap, association rates, and correlated movements. Further, CWD-infected deer exhibited similar association rates to deer in which CWD was not detected. Our literature review and case study indicate direct transmission of CWD and other diseases is likely greatest within social groups following seasonal behavioral dynamics and that between-group transmission is likely driven by males via dispersal and mating interactions. Our results may be used to inform population management models with future work focused on high resolution spatial assessments of transmission in localized areas.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73040","usgsCitation":"Wehr, N.H., Bondo, K.J., Rosenberry, C.S., Stainbrook, D., Wallingford, B.D., and Walter, W., 2026, Intraspecific contact among white-tailed deer: A literature review and chronic wasting disease case study: Ecology and Evolution, v. 16, no. 2, e73040, 20 p., https://doi.org/10.1002/ece3.73040.","productDescription":"e73040, 20 p.","ipdsId":"IP-182245","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502090,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73040","text":"Publisher Index Page"},{"id":502014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"southcentral Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.32215898198577,\n 40.430818578170204\n ],\n [\n -78.32215898198577,\n 39.73578816878745\n ],\n [\n -77.0741919959731,\n 39.73578816878745\n ],\n [\n -77.0741919959731,\n 40.430818578170204\n ],\n [\n -78.32215898198577,\n 40.430818578170204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Wehr, Nathaniel H.","contributorId":369169,"corporation":false,"usgs":false,"family":"Wehr","given":"Nathaniel","middleInitial":"H.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":958559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bondo, Kristin J.","contributorId":369170,"corporation":false,"usgs":false,"family":"Bondo","given":"Kristin","middleInitial":"J.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":958560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":369171,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","middleInitial":"S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":958561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stainbrook, David","contributorId":272188,"corporation":false,"usgs":false,"family":"Stainbrook","given":"David","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":958562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wallingford, Bret D.","contributorId":369173,"corporation":false,"usgs":false,"family":"Wallingford","given":"Bret","middleInitial":"D.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":958563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958564,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274182,"text":"70274182 - 2026 - Multiple-well monitoring site adjacent to the Midway- Sunset and Buena Vista Oil Fields, Kern County, California","interactions":[],"lastModifiedDate":"2026-03-05T15:22:54.30645","indexId":"70274182","displayToPublicDate":"2026-02-12T09:15:08","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Multiple-well monitoring site adjacent to the Midway- Sunset and Buena Vista Oil Fields, Kern County, California","docAbstract":"Groundwater quality in and around oil fields in the Southern San Joaquin Valley is of interest to many California residents that rely heavily on groundwater for domestic, commercial, and agricultural use. To help assess the effects of historical oil-field activities and natural geologic sources on groundwater near the southwest margins of the Kern County Groundwater Subbasin, a multiple-well monitoring site was installed near the administrative boundary between the Midway-Sunset and Buena Vista Oil Fields in Kern County, California. The installation of the Midway-Sunset Buena Vista multiple-well monitoring site (MSBV) supports regional analysis of the relations of oil and gas sources to groundwater quality by providing information about the geology, hydrology, geophysical properties, and water quality of the alluvial and upper Tulare aquifers in areas where groundwater data were limited. Data collected from the site included drill cuttings, whole core samples, sidewall core samples, mud-gas analysis, borehole geophysical logs, depth to water measurements, and water quality samples. Whole cores were scanned using dual energy computed tomography. Subsamples of selected cores were analyzed for density, porosity, specific retention, and bulk minerology. Thin sections of the subsamples were prepared, photographed, and examined. Two samples were analyzed using scanning electron microscope technology to examine the microporosity of diatomite laden sediment. Instrumentation installed in the wells collect hourly depth to water measurements.
Analysis of the data show there is 355 feet of alluvium overlying the Tulare Formation at the well site. The contact between the two formations is an aquitard resulting in a perched aquifer in the alluvium and unconfined aquifer in the Tulare Formation. The alluvium is more heterogenous and finer grained than the Tulare Formation resulting in markedly higher porosity in the alluvium compared to the Tulare Formation. Higher specific retention observed in the alluvium is attributed to the finer grained sediment and greater abundance of reworked diatomite (as represented by opal-CT [cristobalite-tridymite]) compared to the Tulare Formation. Total dissolved solids (TDS) approached or exceeded 10,000 milligrams per liter (mg/L) in the alluvium from approximately 176 to 242 feet below land surface and at the top of the Amnicola clay at approximately 670 feet below land surface within the Tulare Formation. Elevated TDS, chloride, and boron concentrations in the alluvium and on top of the Amnicola clay likely reflect groundwater that is mixed with oil-field water. Water chemistry and modern-aged groundwater in the alluvial monitoring well (MSBV #3) are consistent with the oil-field water in the alluvium being derived from documented historical surface disposal of oil-field water upslope (northwest) of the site. Water chemistry and pre-modern groundwater age in the deeper Tulare monitoring well (MSBV #1) on top of the Amnicola clay are consistent with oil-field fluids derived from upslope natural geologic sources or old oil wells that leak in the subsurface. Shallow groundwater in the Tulare (MSBV #2) is not affected by mixing with oil-field sources.
No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Gulf of Alaska","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"North Pacific Fishery Management Council","usgsCitation":"Coletti, H., Traiger, S.B., Iken, K., Bodkin, J., Ballachey, B., Esslinger, G.G., Kloecker, K.A., Konar, B.H., and Suryan, R.M., 2026, Intertidal ecosystem indicators in the northern Gulf of Alaska: Abbreviated Ecosystem Status Report, 6 p.","productDescription":"6 p.","startPage":"183","endPage":"188","ipdsId":"IP-183204","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504256,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fisheries.noaa.gov/resource/data/ecosystem-status-report-2025-gulf-alaska"}],"country":"United States","state":"Alaska","otherGeospatial":"northern Gulf of Alaska","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coletti, Heather 0000-0001-9696-6093","orcid":"https://orcid.org/0000-0001-9696-6093","contributorId":331592,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":961415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Traiger, Sarah Beth 0000-0002-6222-1445","orcid":"https://orcid.org/0000-0002-6222-1445","contributorId":293218,"corporation":false,"usgs":true,"family":"Traiger","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iken, Katrin 0000-0001-7961-1012","orcid":"https://orcid.org/0000-0001-7961-1012","contributorId":371259,"corporation":false,"usgs":false,"family":"Iken","given":"Katrin","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":961417,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bodkin, James L. 0000-0003-1641-4438","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":264733,"corporation":false,"usgs":false,"family":"Bodkin","given":"James L.","affiliations":[{"id":40616,"text":"former USGS PI","active":true,"usgs":false}],"preferred":false,"id":961418,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ballachey, Brenda 0000-0003-1855-9171","orcid":"https://orcid.org/0000-0003-1855-9171","contributorId":264735,"corporation":false,"usgs":false,"family":"Ballachey","given":"Brenda","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":961419,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esslinger, George G. 0000-0002-3459-0083 gesslinger@usgs.gov","orcid":"https://orcid.org/0000-0002-3459-0083","contributorId":131009,"corporation":false,"usgs":true,"family":"Esslinger","given":"George","email":"gesslinger@usgs.gov","middleInitial":"G.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":961420,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kloecker, Kimberly A. 0000-0002-2461-968X kkloecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2461-968X","contributorId":3442,"corporation":false,"usgs":true,"family":"Kloecker","given":"Kimberly","email":"kkloecker@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":961421,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Konar, Brenda H. 0000-0002-8998-1612","orcid":"https://orcid.org/0000-0002-8998-1612","contributorId":200787,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":961422,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Suryan, Robert M. 0000-0003-0755-8317","orcid":"https://orcid.org/0000-0003-0755-8317","contributorId":221852,"corporation":false,"usgs":false,"family":"Suryan","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":40443,"text":"Oregon State University, NOAA","active":true,"usgs":false}],"preferred":false,"id":961423,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273906,"text":"70273906 - 2026 - Groundwater quality near an oil field in a stream-dominated recharge setting, California, USA","interactions":[],"lastModifiedDate":"2026-02-13T15:23:19.472623","indexId":"70273906","displayToPublicDate":"2026-02-12T08:12:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater quality near an oil field in a stream-dominated recharge setting, California, USA","docAbstract":"Alluvial valley aquifers are important sources of water supply in many areas but effects of co-located oil and gas development on these resources have not been widely reported, especially in settings where recharge is dominated by stream infiltration. Interpreting the presence of geochemical indicators in the context of hydrology, geology, and other factors provides a more complete understanding of the relations between groundwater and sources of oil-field fluids and aids in identifying risks associated with oil and gas development. Groundwater and Salinas River water samples were collected in an alluvial valley near the San Ardo Oil Field in Monterey County, California and analyzed for a wide range of dissolved chemical, gas, and isotopic constituents to determine if oil-field fluids (water and gas from oil-producing and non-producing zones) have mixed with fresh groundwater used for supply. Hydraulic gradients, age-dating tracers, and other geochemical indicators show that recharge from the Salinas River has the potential to dilute oil-field fluids that might migrate or seep into the aquifer. Groundwater and Salinas River water collected downgradient of the San Ardo Oil Field showed little or no evidence of mixing with oil-field fluids. Some samples within the oil field contained trace amounts of hydrocarbons or elevated temperatures, indicating that any potential effects from oil-field activities are minor or have been diluted by recharge from the Salinas River. The two samples with the most geochemical evidence of potential mixing with oil-field fluids (SP-18 and GW-17) were collected west of or along the Los Lobos fault, where naturally occurring hydrocarbons are near the land surface. Those samples are also near active or inactive oil-field wells, and so anthropogenic activities and pathways cannot be ruled out as a cause of trace detections of hydrocarbons and elevated temperatures in the aquifer.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pwat.0000499","usgsCitation":"Stanton, J.S., Stephens, M.J., Landon, M.K., Shimabukuro, D.H., Hunt, A.G., Kulongoski, J.T., Cozzarelli, I.M., and Sowers, T.A., 2026, Groundwater quality near an oil field in a stream-dominated recharge setting, California, USA: PLOS Water, v. 5, no. 2, e0000499, 26 p., https://doi.org/10.1371/journal.pwat.0000499.","productDescription":"e0000499, 26 p.","ipdsId":"IP-174844","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":500245,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000499","text":"Publisher Index Page"},{"id":500085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Monterey County","otherGeospatial":"San Ardo Oil Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.87831068782381,\n 35.962610109515936\n ],\n [\n -120.87831068782381,\n 35.91963115824022\n ],\n [\n -120.81794244845209,\n 35.91963115824022\n ],\n [\n -120.81794244845209,\n 35.962610109515936\n ],\n [\n -120.87831068782381,\n 35.962610109515936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanton, Jennifer S. 0000-0002-2520-753X jstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-2520-753X","contributorId":830,"corporation":false,"usgs":true,"family":"Stanton","given":"Jennifer","email":"jstanton@usgs.gov","middleInitial":"S.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, Michael J. 0000-0001-8995-9928","orcid":"https://orcid.org/0000-0001-8995-9928","contributorId":205895,"corporation":false,"usgs":true,"family":"Stephens","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":955729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":174135,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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Impervious surfaces, as key indicators of urban expansion, are critical for monitoring urban growth and assessing surface urban heat island (SUHI) effects. Land use and land cover change (LULCC) provides an essential link between urban dynamics and their environmental and societal consequences. Here, we integrated the U.S. Geological Survey (USGS) Climate Global Issues (CGI) Land Cover Product with Landsat thermal time-series to investigate SUHI evolution in two contrasting metropolitan regions: Wuhan, China, and Brasília, Brazil. Using data spanning 1986–2023, we analyzed the relationships between land cover, Landsat-based land surface temperature (LST), and SUHI intensity, and identified persistent thermal hotspots. Results demonstrate that the land cover data utilized increases the accuracy of impervious surface mapping along urban–rural gradients. Average SUHI intensities were 3.4 °C in Wuhan and 3.3 °C in Brasília, with statistically significant warming trends of 0.04 °C/year and 0.01 °C/year, respectively. Maximum temperature proved to be a robust indicator of SUHI intensification, capturing long-term upward trends. Our findings highlight the important role of urban land cover dynamics in shaping temporal SUHI variability and hotspot emergence. This prototype framework demonstrates the scientific and policy value of combining long-term land cover monitoring information with satellite thermal monitoring to quantify and track SUHI at city scale, supporting sustainable urban planning and climate adaptation strategies.
","language":"English","publisher":"MDPI","doi":"10.3390/rs18040590","usgsCitation":"Shi, H., Barber, C.P., Sayler, K.L., Smith, K., and Hussain, R., 2026, Monitoring changes in Landsat thermal features in urban and non-urban interfaces from 1986 to 2023 in two international urban centers: Implications for climate and global issues: Remote Sensing, v. 18, no. 4, 590, 25 p., https://doi.org/10.3390/rs18040590.","productDescription":"590, 25 p.","ipdsId":"IP-184356","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500820,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18040590","text":"Publisher Index Page"},{"id":500672,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -48.23543379168905,\n -15.481214838053802\n ],\n [\n -48.23543379168905,\n -16.0688507831632\n ],\n [\n -47.30997066679669,\n -16.0688507831632\n ],\n [\n -47.30997066679669,\n -15.481214838053802\n ],\n [\n -48.23543379168905,\n -15.481214838053802\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 114.01001566832986,\n 30.818553311801224\n ],\n [\n 114.01001566832986,\n 30.334258663173557\n ],\n [\n 114.57676947004,\n 30.334258663173557\n ],\n [\n 114.57676947004,\n 30.818553311801224\n ],\n [\n 114.01001566832986,\n 30.818553311801224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hua 0000-0001-7013-1565","orcid":"https://orcid.org/0000-0001-7013-1565","contributorId":302265,"corporation":false,"usgs":false,"family":"Shi","given":"Hua","affiliations":[],"preferred":false,"id":956714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":956715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":956716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kelcy 0000-0001-6811-1485","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":272037,"corporation":false,"usgs":false,"family":"Smith","given":"Kelcy","affiliations":[{"id":56338,"text":"KBR, Inc., Contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":956717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hussain, Reza 0000-0002-5445-3027","orcid":"https://orcid.org/0000-0002-5445-3027","contributorId":301245,"corporation":false,"usgs":false,"family":"Hussain","given":"Reza","affiliations":[{"id":65343,"text":"KBR, Contractor to U.S. Geological Survey, Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":956718,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274162,"text":"70274162 - 2026 - Tracking baseflow supply dynamics using SWOT data from small groundwater-dominated lakes","interactions":[],"lastModifiedDate":"2026-03-04T15:10:02.201402","indexId":"70274162","displayToPublicDate":"2026-02-12T07:43:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Tracking baseflow supply dynamics using SWOT data from small groundwater-dominated lakes","docAbstract":"In situ surface-water monitoring strategies are biased towards larger perennial streams and lakes and are generally not designed to track mechanisms of baseflow supply contributed by the dynamic storage of aquifers. Additionally, small (< 1 km2) groundwater-influenced lakes and wetlands globally have little in situ monitoring infrastructure. We explored the utility of remotely sensed Surface Water Ocean Topography Satellite (SWOT) data, collected from 2023 onward, to characterise the seasonal and multi-year water-level trends of groundwater flow-through kettle lakes distributed across the permeable sediments of eastern Massachusetts, USA. This analysis indicated that water levels for kettle lakes with areas down to approximately 0.05 km2 are resolvable in the study area. Our examination of 17 kettle lakes found that SWOT water-surface elevation data closely tracked groundwater levels in adjacent monitoring wells where available, including the timing of seasonal patterns (highest levels generally in late spring), although there was some variation between years and there was a substantial lag in the timing of high water levels for a lake located downgradient from a 30-m-thick vadose zone. Furthermore, SWOT-observed water-level increases in kettle lakes tracked with baseflow increases in two adjacent groundwater-dominated streams, as would be expected from increased hydraulic gradients. Unlike spectral remote sensing, SWOT data are generally not affected by cloud cover, resulting in a potential for groundwater-dominated lakes to be sentinels of dynamic storage patterns, including identification of baseflow drought lags, which are currently ill-defined hydrological processes. SWOT monitoring of groundwater-influenced surface waters shows potential for augmenting existing monitoring wells and streamgages as continuous monitors of groundwater levels and baseflow supply in permeable terrain.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70414","usgsCitation":"Briggs, M.A., Harlan, M.E., Rey, D., Hare, D.K., LeBlanc, D.R., Boutt, D.F., and Gooseff, M.N., 2026, Tracking baseflow supply dynamics using SWOT data from small groundwater-dominated lakes: Hydrological Processes, v. 40, no. 2, e70414, 12 p., https://doi.org/10.1002/hyp.70414.","productDescription":"e70414, 12 p.","ipdsId":"IP-178175","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":500848,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70414","text":"Publisher Index Page"},{"id":500722,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"coastal southeastern Massachusetts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.67620889081189,\n 42.11446080523638\n ],\n [\n -70.67620889081189,\n 41.52445687414806\n ],\n [\n -69.90003630265832,\n 41.52445687414806\n ],\n [\n -69.90003630265832,\n 42.11446080523638\n ],\n [\n -70.67620889081189,\n 42.11446080523638\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222756,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":956729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harlan, Merritt Elizabeth 0000-0002-4019-4888","orcid":"https://orcid.org/0000-0002-4019-4888","contributorId":302672,"corporation":false,"usgs":true,"family":"Harlan","given":"Merritt","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":956730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":956731,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Danielle K.","contributorId":219738,"corporation":false,"usgs":false,"family":"Hare","given":"Danielle","middleInitial":"K.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":956732,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":219907,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":956733,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boutt, David F.","contributorId":81095,"corporation":false,"usgs":false,"family":"Boutt","given":"David","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":956734,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gooseff, Michael N.","contributorId":367087,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","middleInitial":"N.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":956735,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274027,"text":"70274027 - 2026 - Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines","interactions":[],"lastModifiedDate":"2026-02-20T14:43:05.194023","indexId":"70274027","displayToPublicDate":"2026-02-12T07:35:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical mixture models and high-resolution monitoring data can inform siting and operational strategies to mitigate bat fatalities at wind turbines","docAbstract":"Bats provide critical ecosystem services, but bat fatalities due to wind energy development may imperil some bat populations. Statistical models are used to estimate the total fatalities that occur based on carcasses observed during monitoring surveys. Current models often estimate fatalities aggregated across species, time, and/or turbines, but fall short of reliably informing siting and operational collision mitigation strategies that account for species-specific fatality patterns on a fine spatiotemporal scale. We developed a hierarchical mixture model for estimating species-specific covariate effects and total fatalities per species at each turbine on weekly intervals. We applied the model to a high-resolution dataset of bat carcasses found during turbine searches across nineteen wind facilities in Iowa over two years. Our model explains species-specific variation in bat fatalities at individual wind turbines according to turbine proximity to bat habitat, turbine design specifications, seasonal trends, and weather conditions such as nightly air temperature, air pressure, and wind speed. Turbines located on the edge of wind facilities had higher fatalities, and proximity to roosting and foraging habitat accounted for variation in species-specific fatality estimates. These insights into turbine placement effects can inform siting strategies. We also discovered species-specific relationships with average nightly wind speed and air temperature, among other weather conditions, that could inform operational mitigation strategies such as smart curtailment. Our model can transform observations of carcasses found during turbine searches across multiple facilities, years, and variable search efforts into estimates of total fatalities per species associated with species-specific spatial, temporal, and environmental covariate effects.
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Increased climate variability is expected to intensify short-term drought events. Plants have evolved stress tolerance strategies involving trade-offs in resource conservation, mycorrhizal collaboration and plant size, yet how these strategies promote drought resistance across different herbaceous plant groups remains unknown. Leveraging 63 globally distributed grassland and shrubland sites from the International Drought Experiment, we identified plant traits linked to drought resistance in 661 populations of 421 species after 1 year of extreme drought. We assessed how traits, site precipitation and drought severity affected cover change across growth forms and lifespans, and how trait–environment interactions influenced drought resistance. Across all species, leaf N (an acquisitive trait) was associated with drought resistance, whereas in forbs, drought resistance was also associated with a conservative root trait and plant size. In addition, interactions among traits mediated drought resistance; root traits predicted performance only in concert with other traits. Environmental variables influenced trait effects on drought resistance, notably for annuals in wetter sites, suggesting that drought-escape strategies in annuals may be advantageous only under mild stress. Our study highlights variability in traits that predict drought resistance across herbaceous plant groups, emphasizing the importance of species context, environmental stress and the selection of traits in research and management.
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Ichthyophonus was detected in 33% (59/180) of heart cultures from all sites combined. An inverted pattern of decreasing Ichthyophonus infection prevalence with size started around 2019 and continued through 2024 (Fig. 1). VHSV was isolated from one fish collected in Canoe Pass. The isolation was at a very low titer and was detectable only after blind passage. Neutralizing antibodies to VHSV were detected in 4.4% (14/318) of PWS herring in 2024 (Fig. 2). Erythrocytic inclusions indicative of VEN were not detected in any PWS herring (n =180) from 2024, but bacterial rods were noted in the blood films from three fish.
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Eutrophication and nuisance filamentous algal blooms (i.e. Cladophora) are increasingly common occurrences throughout much of the western United States. Wildfire may be contributing to the frequency and magnitude of algal blooms through excess sediment and nutrient loading to streams and rivers. Our objective was to evaluate the effects the 2021 Woods Creek Fire had on sediment yields and phosphorus (total and bioavailable) partitioning in Camas Creek, a major tributary to the Smith River in Montana where Cladophora are now consistently reaching nuisance levels.
Methods
We collected water quality samples during snowmelt pulsing events as well as fixed interval sampling using an established U.S. Geological Survey stream gage instrumented with a continuous water quality sonde and an automatic peristaltic pump sampler. Water samples were processed for total phosphorus (TP), sediment-bound bioavailable phosphorus (S-BioP), soluble reactive phosphorus (SRP), and suspended sediment concentrations and were evaluated using linear regression and other nonparametric statistical tests. Continuous turbidity and streamflow were evaluated using hysteresis analysis to determine sediment sourcing and connectivity.
Results
We found that the Woods Creek Fire did not significantly influence TP and S-BioP in Camas Creek. However, there was a significant increase in SRP and turbidity in both postfire years (2022 and 2023). Hysteresis analysis of 91 delineated events indicated positive (clockwise) hysteresis was the dominant event pattern during the snowmelt period. This may indicate a lower hillslope to channel connectivity, with the major sediment supply originating from the channel and/or riparian areas.
Conclusion
Results from this study demonstrate the benefits of combining discrete water quality samples with high-frequency turbidity sensors to characterize postfire sediment and phosphorus dynamics. While a lack of postfire response in TP and S-BioP is contrary to many other studies, our findings highlight the role climate and catchment morphology play in attenuating a disturbance effect.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11368-025-04192-7","usgsCitation":"Clark, G.D., Suplee, M.W., Brown, H.M., Moloney, M., and Caldwell, R.R., 2026, Suspended-sediment and phosphorus response in a fire-affected central Montana headwater catchment: Journal of Soils and Sediments, v. 26, 43, 14 p., https://doi.org/10.1007/s11368-025-04192-7.","productDescription":"43, 14 p.","ipdsId":"IP-179856","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":499950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-025-04192-7","text":"Publisher Index Page"},{"id":499805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Big Belt Mountains, Camas Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.54030626136881,\n 46.77963353252085\n ],\n [\n -112.54030626136881,\n 45.373934416602\n ],\n [\n -110.21790197229728,\n 45.373934416602\n ],\n [\n -110.21790197229728,\n 46.77963353252085\n ],\n [\n -112.54030626136881,\n 46.77963353252085\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2026-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suplee, Michael W.","contributorId":366218,"corporation":false,"usgs":false,"family":"Suplee","given":"Michael","middleInitial":"W.","affiliations":[{"id":87386,"text":"Montana Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":955452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Haylie M. 0009-0004-0278-1450","orcid":"https://orcid.org/0009-0004-0278-1450","contributorId":344815,"corporation":false,"usgs":true,"family":"Brown","given":"Haylie","middleInitial":"M.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moloney, Molly A. 0000-0001-8241-8467","orcid":"https://orcid.org/0000-0001-8241-8467","contributorId":329672,"corporation":false,"usgs":true,"family":"Moloney","given":"Molly A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":955454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caldwell, Rodney R. 0000-0002-2588-715X","orcid":"https://orcid.org/0000-0002-2588-715X","contributorId":203416,"corporation":false,"usgs":true,"family":"Caldwell","given":"Rodney","middleInitial":"R.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274138,"text":"70274138 - 2026 - Ecogeomorphic feedbacks influence elevation change across microtidal wetland settings of coastal Louisiana","interactions":[],"lastModifiedDate":"2026-02-27T15:15:55.683288","indexId":"70274138","displayToPublicDate":"2026-02-11T08:10:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Ecogeomorphic feedbacks influence elevation change across microtidal wetland settings of coastal Louisiana","docAbstract":"No abstract available.
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We compared eye lens isotopic values of fall fingerling age-0 walleye (Sander vitreus) reared in a hatchery pond, a recirculating aquaculture system (RAS), and a natural lake. Using 10 fish per rearing source, we delaminated layers from one eye lens per fish to assess temporal changes in carbon (δ13C) and nitrogen (δ15N) and pulverized the whole second eye lens for δ13C, δ15N, and sulfur (δ34S). RAS-reared walleye values exhibited high precision among individuals and were δ34S enriched. Pond-reared walleye had lower δ13C and δ15N core values compared to other rearing sources. For δ13C and δ15N, values remained consistent among layers for RAS-reared walleye, δ15N slightly increased for pond-reared and lake-reared walleye, and δ13C increased substantially among subsequent layers in pond-reared walleye. Bayesian 95% ellipses did not overlap among rearing sources. These results demonstrate that eye lens stable isotope analysis may be a useful tool for differentiating hatchery-reared and wild large fingerling walleye, specifically from RAS- and pond-reared sources.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.70057","usgsCitation":"Sturtz, J.M., Schall, B.J., Ward, M.J., Treft, C.E., Chipps, S.R., Cheek, C.A., 2026, Using eye lens stable isotopes to identify the rearing origin of fall age-0 walleye (Sander vitreus): Fisheries Management and Ecology, 9 p., https://doi.org/10.1111/fme.70057.","productDescription":"9 p.","ipdsId":"IP-180447","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500832,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.70057","text":"Publisher Index Page"},{"id":500401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Minnehaha County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.99691789660918,\n 43.86292002565392\n ],\n [\n -96.99691789660918,\n 43.481706292522205\n ],\n [\n -96.54235371770167,\n 43.481706292522205\n ],\n [\n -96.54235371770167,\n 43.86292002565392\n ],\n [\n -96.99691789660918,\n 43.86292002565392\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Sturtz, Justin M.","contributorId":366718,"corporation":false,"usgs":false,"family":"Sturtz","given":"Justin","middleInitial":"M.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":956164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schall, Benjamin J.","contributorId":366719,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":956165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Matthew J.","contributorId":366720,"corporation":false,"usgs":false,"family":"Ward","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":956166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Treft, Cody E.","contributorId":366721,"corporation":false,"usgs":false,"family":"Treft","given":"Cody","middleInitial":"E.","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":956167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956168,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cheek, Christopher A.","contributorId":366730,"corporation":false,"usgs":false,"family":"Cheek","given":"Christopher","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":956169,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274554,"text":"70274554 - 2026 - Day-roost use by ‘ōpe‘ape‘a, the Hawaiian hoary bat (Lasiurus semotus)","interactions":[],"lastModifiedDate":"2026-03-31T15:07:29.80427","indexId":"70274554","displayToPublicDate":"2026-02-10T10:03:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":629,"text":"Acta Chiropterologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Day-roost use by ‘ōpe‘ape‘a, the Hawaiian hoary bat (Lasiurus semotus)","title":"Day-roost use by ‘ōpe‘ape‘a, the Hawaiian hoary bat (Lasiurus semotus)","docAbstract":"The ‘ōpe‘ape‘a, also known as the Hawaiian hoary bat (Lasiurus semotus; family Vespertilionidae), is a solitary, insectivorous, foliage-roosting endemic species. 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Measures of day-roost emergence times, nocturnal period spent at roosts, and number of nighttime departures showed high variability, were not significantly different among sex or reproductive groups and exhibited no seasonal trends. The study demonstrated that ‘ōpe‘ape‘a generally remain at the same day-roost for extended periods, unlike other tree-dwelling species, particularly lasiurines. The findings also suggest that individuals may prioritize familiar roosts and home range resources over exploring new roosts, potentially due to the permanence of suitable foliage roosts and predator avoidance strategies.
","language":"English","publisher":"BioOne","doi":"10.3161/15081109ACC2025.27.2.009","usgsCitation":"Gorresen, P., Montoya-Aiona, K., Courtot, K., Vievard, A.L., and Tupu, J.L., 2026, Day-roost use by ‘ōpe‘ape‘a, the Hawaiian hoary bat (Lasiurus semotus): Acta Chiropterologica, v. 27, no. 2, p. 233-248, https://doi.org/10.3161/15081109ACC2025.27.2.009.","productDescription":"16 p.","startPage":"233","endPage":"248","ipdsId":"IP-181848","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":501860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.6546827188276,\n 18.878961947952632\n ],\n [\n -154.68734834038824,\n 19.508623245171904\n ],\n [\n -155.2060185868976,\n 20.025441141252628\n ],\n [\n -155.911562672223,\n 20.315409305745447\n ],\n [\n -156.11369151828924,\n 19.731347334491886\n ],\n [\n -155.96114144578644,\n 19.094694966019645\n ],\n [\n -155.6546827188276,\n 18.878961947952632\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Gorresen, P. Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":196628,"corporation":false,"usgs":false,"family":"Gorresen","given":"P. Marcos","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":958272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montoya-Aiona, Kristina 0000-0002-1776-5443 kmontoya-aiona@usgs.gov","orcid":"https://orcid.org/0000-0002-1776-5443","contributorId":5899,"corporation":false,"usgs":true,"family":"Montoya-Aiona","given":"Kristina","email":"kmontoya-aiona@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":958273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courtot, Karen 0000-0002-8849-4054 kcourtot@usgs.gov","orcid":"https://orcid.org/0000-0002-8849-4054","contributorId":140002,"corporation":false,"usgs":true,"family":"Courtot","given":"Karen","email":"kcourtot@usgs.gov","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":958274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vievard, Amy L.","contributorId":369008,"corporation":false,"usgs":false,"family":"Vievard","given":"Amy","middleInitial":"L.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":958275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tupu, Josephine L.","contributorId":369009,"corporation":false,"usgs":false,"family":"Tupu","given":"Josephine","middleInitial":"L.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":958276,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}