We tracked 19 adult Galapagos Petrels Pterodroma phaeopygia during the chick-rearing seasons in 2009 and 2010 (Santa Cruz Island [n = 16] and Floreana Island [n = 3]) in the Galápagos Islands, Ecuador. Eight petrels performed 27 complete foraging trips lasting 0.6 to 18.8 days. Short trips (3.2 ± 2.1 days; 785 km; max displacement 671 km) and long trips (10.8 ± 3.9 days; 2,856 km; max displacement 1,034 km) resulted in concentrated use of waters off southern and western Isabela Island and within the Galápagos Marine Reserve (GMR). Less concentrated time extended farther southwest and eastward, in that case toward mainland Ecuador. Total distance covered among all completed trips, independent of duration, was strongly correlated with trip duration (R² = 0.92), indicating a strategy favoring active searching and foraging over commuting. Petrels ranged across Ecuador's exclusive economic zone (EEZ), as well as other countries' (Colombia, Costa Rica, Perú), and waters beyond; they spent 46%, 27%, and 34% of their time in the GMR during short, long, and apparent (incomplete) trips, respectively. However, overlap with EEZs or marine protected areas (MPAs) does not necessarily confer protection, because commercial tuna fishing, including legal fishing historically permitted inside the GMR, occurs within these waters. Including all complete and incomplete trips, petrels spent 37% of their time in high-seas waters without formal protection, outside both MPAs and EEZs. While some hot spots overlapped Galápagos MPAs, the far-ranging nature of chick-provisioning petrels underscores the importance for this species of also having coordinated, multinational protection of the high seas.
","language":"English","publisher":"Marine Ornithology","doi":"10.5038/2074-1235.54.1.1678","usgsCitation":"Proaño, C.B., Cruz, S.M., Adams, J., and Wikelski, M., 2026, Satellite tracking of Galapagos Petrel Pterodroma phaeopygia reveals distribution and movements during chick rearing: Marine Ornithology: Journal of Seabird Research and Conservation, v. 54, no. 1, p. 63-74, https://doi.org/10.5038/2074-1235.54.1.1678.","productDescription":"12 p.","startPage":"63","endPage":"74","ipdsId":"IP-178460","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":503895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503894,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://www.marineornithology.org/article?rn=1678"}],"country":"Ecuador","otherGeospatial":"Floreana Island, Galápagos Islands, Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.16396283200609,\n 0.5013253727753693\n ],\n [\n -92.16396283200609,\n -1.8793549872673623\n ],\n [\n -88.8375901420145,\n -1.8793549872673623\n ],\n [\n -88.8375901420145,\n 0.5013253727753693\n ],\n [\n -92.16396283200609,\n 0.5013253727753693\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Proaño, Carolina B.","contributorId":317182,"corporation":false,"usgs":false,"family":"Proaño","given":"Carolina","middleInitial":"B.","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":960760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cruz, Sebastian M.","contributorId":56136,"corporation":false,"usgs":true,"family":"Cruz","given":"Sebastian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":960761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Josh 0000-0003-3056-925X","orcid":"https://orcid.org/0000-0003-3056-925X","contributorId":213442,"corporation":false,"usgs":true,"family":"Adams","given":"Josh","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960762,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wikelski, Martin","contributorId":205674,"corporation":false,"usgs":false,"family":"Wikelski","given":"Martin","email":"","affiliations":[{"id":37137,"text":"Department of Migration and Immuno-Ecology, Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":960763,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275375,"text":"70275375 - 2026 - Drought resistance is greater in montane conifers compared to coastal conifers in northern California","interactions":[],"lastModifiedDate":"2026-05-01T14:37:40.638757","indexId":"70275375","displayToPublicDate":"2026-04-05T09:34:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Drought resistance is greater in montane conifers compared to coastal conifers in northern California","docAbstract":"Frequent and intense droughts are rapidly altering stand dynamics in western North American forests. The ecological and geographical diversity of northern California provides a unique opportunity to measure these responses across species, habitat types, and levels of competitive pressure. This study used dendrochronological techniques and linear mixed-effects models to assess growth responses to drought in four montane and two coastal conifer species across 54 study sites (nine sites per species, 526 trees total) in northern California. Montane species included Abies magnifica var. shastensis, Picea breweriana, Pinus lambertiana, and Pinus monticola; coastal species included Picea sitchensis and Tsuga heterophylla. Growth was evaluated from 2002 to 2018 and the drought period was from 2013 to 2015. There were significant differences among species and environments (coastal vs montane) in growth, drought resistance and resilience, and annual latewood proportion. Growth in montane species was generally positively related to moisture availability (Palmer Drought Severity Index) and negatively related to tree competition. The four montane species maintained relatively stable drought resistance, resilience, and latewood proportion across the study period. In contrast, growth in the two coastal species was influenced more by tree size and crown ratio than moisture availability or competition. As the 2013–2015 drought proceeded, coastal species showed marked reductions in drought resistance and resilience and increases in latewood proportion. Across the six conifer species, mean reductions in growth during and after the drought were generally less than 20% and never exceeded 40%. Compared to montane species, the lower resistance measured in coastal species suggests greater risk for increased stress and mortality in the event of more severe, prolonged, and/or frequent droughts.
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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Migrating and wintering waterfowl","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","usgsCitation":"Pearse, A.T., Amundson, C.L., and Vrtiska, M.P., 2026, Events during migration and winter, chap. 3 of Migrating and wintering waterfowl.","ipdsId":"IP-066562","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":504029,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-04-05","publicationStatus":"PW","contributors":{"editors":[{"text":"Ballard, Bart M.","contributorId":141254,"corporation":false,"usgs":false,"family":"Ballard","given":"Bart","email":"","middleInitial":"M.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":961260,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Brasher, Michael G.","contributorId":338627,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael G.","affiliations":[{"id":81180,"text":"Ducks Unlimited, Inc","active":true,"usgs":false}],"preferred":false,"id":961261,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961262,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amundson, Courtney L. 0000-0002-0166-7224 camundson@usgs.gov","orcid":"https://orcid.org/0000-0002-0166-7224","contributorId":4833,"corporation":false,"usgs":true,"family":"Amundson","given":"Courtney","email":"camundson@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrtiska, Mark P.","contributorId":201604,"corporation":false,"usgs":false,"family":"Vrtiska","given":"Mark","middleInitial":"P.","affiliations":[{"id":36216,"text":"NE Game & Parks","active":true,"usgs":false}],"preferred":false,"id":961249,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274706,"text":"70274706 - 2026 - Long-term monotonic trends in water budget components in the contiguous United States: Insights from two hydrologic models","interactions":[],"lastModifiedDate":"2026-04-08T13:47:35.960955","indexId":"70274706","displayToPublicDate":"2026-04-04T09:25:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Long-term monotonic trends in water budget components in the contiguous United States: Insights from two hydrologic models","docAbstract":"Characterizing changes to water availability for domestic, industrial, agricultural, and other uses is essential to support water management. To better quantify these changes, the U.S. Geological Survey and National Science Foundation National Center for Atmospheric Research produced two hydrologic models simulating water budget components from 1980 to 2021 over the contiguous United States (CONUS). Both hydrologic models were driven by a common atmospheric forcing dataset and aggregated to common spatial and temporal scales, which enables a novel evaluation of congruency between the models. We present annual and seasonal trends in six water budget components (precipitation, evapotranspiration, streamflow, groundwater recharge, soil saturation, and snow water equivalent) based on the Mann–Kendall test for monotonic trend and Theil-Sen slope estimate for the water year 1983–2021 period for ~86,000 catchments in CONUS. Additional components and metrics from our analysis pipeline are available in an associated published dataset, which contains more than 46 million trend results. The water budget trends showed broad agreement with prior observational and modeling studies that indicate increasing trends in the northeast and decreasing trends in southwestern CONUS. We found the seasonal variability in water budget trends was greatest in the southern, central, and northwest CONUS. These findings support integrated trend assessments when coupled with trends in water quality and use.
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Center","active":true,"usgs":true}],"preferred":true,"id":958758,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":218029,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":958759,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayers, Jessica 0000-0002-3309-6286","orcid":"https://orcid.org/0000-0002-3309-6286","contributorId":369282,"corporation":false,"usgs":false,"family":"Ayers","given":"Jessica","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":958760,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274680,"text":"dr1222 - 2026 - Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary","interactions":[],"lastModifiedDate":"2026-04-06T13:36:04.095439","indexId":"dr1222","displayToPublicDate":"2026-04-03T13:08:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1222","displayTitle":"Distribution and Abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 Data Summary","title":"Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary","docAbstract":"We surveyed for Least Bell’s Vireos (Vireo bellii pusillus; vireo) and Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along Big Tujunga Creek in the Hansen Dam Basin in Los Angeles County, California, in 2025. Four vireo surveys were completed between April 17 and July 2, 2025, and three flycatcher surveys were completed between May 20 and July 2, 2025. We detected 62 territorial male vireos, 51 of which were confirmed as paired, and 2 transient vireos. Additionally, we detected 32 juvenile vireos during surveys. Seventy-seven percent of vireos were detected in habitat characterized as mixed willow, and 95 percent of vireos were detected in habitat with greater than 50-percent native plant cover. Most vireo territories were dominated by Goodding’s black willow (Salix gooddingii).
On May 20, 2025, we detected 18 transient Willow Flycatchers of unknown subspecies, none of which were confirmed to be paired, and no juveniles were detected. Mixed willow habitat was used by 78 percent of Willow Flycatchers, and all Willow Flycatchers were detected in habitat with greater than 50-percent native plant cover. Most Willow Flycatchers were detected in locations dominated by Goodding’s black willow.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1222","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireo (Vireo bellii pusillus) and Southwestern Willow Flycatcher (Empidonax traillii extimus) at the Hansen Dam Basin, Los Angeles County, California—2025 data summary: U.S. Geological Survey Data Report 1222, 12 p., https://doi.org/10.3133/dr1222.","productDescription":"vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-183447","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502160,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1222/dr1222.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1222 XML"},{"id":502157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1222/coverthb.jpg"},{"id":502158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1222/dr1222.pdf","text":"Report","size":"2.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1222 PDF"},{"id":502159,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1222/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1222 HTML"},{"id":502161,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1222/images"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Hansen Dam basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.32657557732199,\n 34.283341712350676\n ],\n [\n -118.41896837937466,\n 34.283341712350676\n ],\n [\n -118.41896837937466,\n 34.232810304015985\n ],\n [\n -118.32657557732199,\n 34.232810304015985\n ],\n [\n -118.32657557732199,\n 34.283341712350676\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
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Growing concern about the quantity of available freshwater around the world has led to interest in surveying groundwater total dissolved solids (TDS) below water well depths. Deep TDS has not been systematically mapped, and there is much to learn about the distribution and controls on deeper groundwater. In sedimentary basins across the United States, groundwater resources often overlie hydrocarbon resources, providing an opportunity to use borehole geophysical data collected for hydrocarbons to characterize groundwater and pore space resources. This study adapts a recently developed subsurface geostatistical and geophysical modeling approach to continuously map groundwater TDS, porosity, and temperature in the Dakota Group of the Williston Basin—an undercharacterized regional aquifer system overlying deeper hydrocarbon reservoirs. Groundwater TDS in the Dakota Group ranges from approximately 4800 to 26,900 mg/L. TDS patterns are stratified with higher TDS in the lower and upper Dakota Group, and relatively lower TDS in the middle Dakota Group. The lower TDS in the middle zone may represent a preferential regional flow path for lower-TDS meteoric recharge from the west. The alternating pattern of TDS may also be evidence of higher-TDS inflows into the Dakota Group from underlying and potentially from overlying aquifers. Porosity is lower near the center of the Williston Basin and tends to be higher to the east, which may be related to grain size distributions. The new regional TDS and porosity modeling serves as a quantitative reference for water users and provides supporting evidence for hypotheses on Dakota Group recharge.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70066","usgsCitation":"Stephens, M.J., Hoogenboom, B.E., Ball, L.B., and Chang, W., 2026, Deep groundwater total dissolved solids mapping in the Dakota Group, Williston Basin, USA: Groundwater, v. 64, no. 3, p. 335-349, https://doi.org/10.1111/gwat.70066.","productDescription":"15 p.","startPage":"335","endPage":"349","ipdsId":"IP-174811","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502231,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502477,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70066","text":"Publisher Index Page"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.26471431075939,\n 48.994091810782606\n ],\n [\n -106.3042800156854,\n 48.14876366539232\n ],\n [\n -105.71979621869451,\n 47.2096977369178\n ],\n [\n -104.58977916779222,\n 45.71612236688222\n ],\n [\n -103.4821951575731,\n 45.44295385860377\n ],\n [\n -101.80119627681282,\n 46.231716648136825\n ],\n [\n -100.86747364635656,\n 47.35057238526366\n ],\n [\n -100.54412186741868,\n 49.011106101113484\n ],\n [\n -106.26046319835494,\n 49.00127001005359\n ],\n [\n -106.26912726837928,\n 48.99219595751953\n ],\n [\n -106.26471431075939,\n 48.994091810782606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-04-03","publicationStatus":"PW","contributors":{"authors":[{"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":958761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogenboom, Bennett Eugene 0000-0001-8096-3533","orcid":"https://orcid.org/0000-0001-8096-3533","contributorId":239871,"corporation":false,"usgs":true,"family":"Hoogenboom","given":"Bennett","email":"","middleInitial":"Eugene","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":958763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chang, Will 0000-0002-0796-0763","orcid":"https://orcid.org/0000-0002-0796-0763","contributorId":208210,"corporation":false,"usgs":false,"family":"Chang","given":"Will","email":"","affiliations":[{"id":37763,"text":"Hypergradient LLC","active":true,"usgs":false}],"preferred":false,"id":958764,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274662,"text":"ofr20261005 - 2026 - Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23","interactions":[],"lastModifiedDate":"2026-04-03T18:10:53.329191","indexId":"ofr20261005","displayToPublicDate":"2026-04-02T15:09:58","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1005","displayTitle":"Sampling and Analysis Plan for the Water-Quality Monitoring Program in Lake Koocanusa and Upper Kootenai River, Montana, Water Years 2022–23","title":"Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, collected water-quality samples and environmental data in Lake Koocanusa (also known as “Koocanusa Reservoir”), the Kootenai River, and the Tobacco River during water years 2022–23. The transboundary Lake Koocanusa is in southeastern British Columbia, Canada, and northwestern Montana, United States. It was formed by constructing Libby Dam on the Kootenai River 26 kilometers upstream from Libby, Montana. One of the lake sites and the Kootenai River site, in the Libby Dam tailwater (the outflow of the lake flow into the Kootenai River), were equipped with automated, high-frequency ServoSipper water samplers. At the lake site, these samplers were mounted to pontoon platforms during the summer, and a submersible ServoSipper sipper was deployed with ice buoys during the winter. Samples were automatically collected from multiple depths. At the Kootenai River site, these samplers were housed in the gage house. In water year 2022, discrete water-quality samples were collected every 4–6 weeks, year round, at all four lake sites in the Kootenai River between April and November. In water year 2023, discrete water-quality samples were collected at three lake sites and the Kootenai and Tobacco River sites every 4–6 weeks. The goal of this project was to collect multidepth, high-frequency vertical and temporal water-quality samples and data to understand the limnological and biological processes that control variations and trends in selenium concentrations and loads throughout Lake Koocanusa and in the Libby Dam tailwater at the southern end of the lake. This sampling and analysis plan documents the organization, sampling and data-collection scheme and design, pre- and post-collection processes, and quality-assurance and quality-control procedures of the Koocanusa/Kootenai water-quality monitoring program during water years 2022–23.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261005","usgsCitation":"King, L.R., Caldwell Eldridge, S.L., Schaar, M.A., Schmidt, T.S., Chapin, T., and Bussell, A.M., 2026, Sampling and analysis plan for the water-quality monitoring program in Lake Koocanusa and upper Kootenai River, Montana, water years 2022–23: U.S. Geological Survey Open-File Report 2026–1005, 39 p., https://doi.org/10.3133/ofr20261005.","productDescription":"vi, 39 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149144","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":502178,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119339.htm","linkFileType":{"id":5,"text":"html"}},{"id":502024,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1005/images/"},{"id":502022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1005/ofr20261005.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1005"},{"id":502023,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1005/ofr20261005.XML"},{"id":502021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1005/coverthb.jpg"},{"id":502025,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261005/full"}],"country":"United States","state":"Montana","otherGeospatial":"Lake Koocanusa and Upper Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.9429682076028,\n 48.99647573554873\n ],\n [\n -116.0375564422092,\n 48.99647573554873\n ],\n [\n -116.0375564422092,\n 48.33063827945506\n ],\n [\n -114.9429682076028,\n 48.33063827945506\n ],\n [\n -114.9429682076028,\n 48.99647573554873\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
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Helena, MT 59601
The U.S. Geological Survey, in cooperation with the National Marine Sanctuary Program of the National Oceanic and Atmospheric Administration, has conducted seabed mapping and related research in the Stellwagen Bank National Marine Sanctuary (SBNMS) region since 1993. The area being mapped using geophysical and geological data includes the SBNMS and the surrounding region, which totals approximately 3,700 square kilometers (km2) and is subdivided into 18 quadrangles. The seabed is a glaciated terrain that is topographically and texturally diverse. Quadrangle 3, the subject of this scientific investigations map, has a mapped area of 185 km2 and has water depths that range from about 30 meters (m) on the Stellwagen Bank crest to about 135 m in a basin east of South Ninety Bank, which lies off the eastern margin of Stellwagen Bank. Seven map types, each at a scale of 1:25,000, depict seabed topography, ruggedness, backscatter intensity, distribution of geologic substrates, sediment mobility, distribution of fine- and coarse-grained sand, and substrate mud content. These maps show the distribution of geologic substrates on the southeastern part of Stellwagen Bank, on adjacent banks and basins in deeper water to the east, in the eastern part of Race Point Channel to the south of the bank, and on the northern slope of Cape Cod. Interpretations of multibeam sonar bathymetric and seabed backscatter imagery, photographs, video imagery, and grain-size analyses were used to create the geology-based maps. Data from 309 stations were analyzed, including 279 sediment samples. The geologic substrate maps of quadrangle 3 show the distribution of 21 geologic substrates that represent a wide range of textures, such as rippled sand, immobile sand, immobile muddy sand, sand that partially veneers gravel, and boulder ridges. Mapped substrates are characterized by sediment grain-size composition, surface morphology, substrate layering, the mobility or immobility of substrate surfaces, and water depth range. This scientific investigations map portrays the major geological elements (substrates, topographic features, and processes) of environments in quadrangle 3. It is intended to provide a foundation for research into present and past sediment transport processes in a complex terrain, provide insights into the ecological requirements of invertebrate and vertebrate species that use the various substrates, and support seabed management in the region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3544","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","programNote":"Coastal/Marine Hazards and Resources Program","usgsCitation":"Valentine, P.C., and Cross, V.A., 2026, Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in quadrangle 3 of the Stellwagen Bank National Marine\nSanctuary region offshore of Boston, Massachusetts: U.S. Geological Survey Scientific Investigations Map 3544, 8 sheets, scale 1:25,000, 30-p. pamphlet, https://doi.org/10.3133/sim3544.","productDescription":"Pamphlet: v, 30 p.; 8 Sheets: 26.98 x 36.56 inches or smaller; Data Release","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-164177","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502177,"rank":18,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119337.htm","linkFileType":{"id":5,"text":"html"}},{"id":501144,"rank":17,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3530","text":"Scientific Investigations Map 3530","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 2 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":501143,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3515","text":"Scientific Investigations Map 3515","linkHelpText":"- Seabed Maps Showing Topography, Ruggedness, Backscatter Intensity, Sediment Mobility, and the Distribution of Geologic Substrates in Quadrangle 5 of the Stellwagen Bank National Marine Sanctuary Region Offshore of Boston, Massachusetts"},{"id":501142,"rank":15,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sim3341","text":"Scientific Investigations Map 3341","linkHelpText":"- Seabed maps showing topography, ruggedness, backscatter intensity, sediment mobility, and the distribution of geologic substrates in Quadrangle 6 of the Stellwagen Bank National Marine Sanctuary Region offshore of Boston, Massachusetts"},{"id":501140,"rank":14,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapG.pdf","text":"Map G","size":"828 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map G","linkHelpText":"- Distribution of Substrate Mud Content and Boulder Ridges"},{"id":501138,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapE.pdf","text":"Map E","size":"837 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map E","linkHelpText":"- Sediment Mobility"},{"id":501137,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapD2.pdf","text":"Map D, Sheet 2","size":"7.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map D2","linkHelpText":"- Distribution of Geologic Substrates—Seabed geology and sun-illuminated topography"},{"id":501136,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapD1.pdf","text":"Map D, Sheet 1","size":"888 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map D1","linkHelpText":"- Distribution of Geologic Substrates—Seabed geology and station data types"},{"id":501134,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapB.pdf","text":"Map B","size":"1.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map B","linkHelpText":"- Seabed Ruggedness"},{"id":501131,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13PVHRI","text":"USGS data release","linkHelpText":"Geospatial datasets of seabed topography, sediment mobility, and the distribution of geologic substrates in quadrangle 3 of the Stellwagen Bank National Marine Sanctuary region offshore of Boston, Massachusetts"},{"id":500202,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3544/images/"},{"id":500201,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3544/sim3544.XML"},{"id":501130,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3544/sim3544.pdf","text":"Pamphlet","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544"},{"id":501133,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapA.pdf","text":"Map A","size":"7.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map A","linkHelpText":"- Sun-Illuminated Topography and Boulder Ridges"},{"id":500200,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3544/full"},{"id":501135,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapC.pdf","text":"Map C","size":"18.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map C","linkHelpText":"- Backscatter Intensity and Sun-Illuminated Topography"},{"id":501129,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3544/coverthb.jpg"},{"id":501139,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3544/sim3544_mapF.pdf","text":"Map F","size":"822 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3544 map F","linkHelpText":"- Distribution of Fine- and Coarse-Grained Sand and Boulder Ridges"}],"country":"United States","otherGeospatial":"Quadrangle 3 of the Stellwagen Bank National Marine Sanctuary region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543–1598
The Delaware River basin (DRB) provides drinking water to 15 million people in the surrounding area. Water is frequently withdrawn from the freshwater reaches of streams, above head of tide, in the DRB for use as public drinking water. During extended periods of low flow, saltwater can move upstream, which can threaten drinking-water supplies in the basin. Due to spatial patterns in bathymetry, tidal influences within the DRB, and varying weather conditions, it can be hard to predict the movement and upstream extent of the freshwater-saltwater interface, often defined as the salt-front. Although there is a relationship that predicts this location in the main stem of the Delaware River, there lacks a relationship for its tributaries, such as the Maurice and Cohansey Rivers in southwestern New Jersey. In this study, a relationship was developed between daily specific conductance (SC) at gage locations along the tidal river reaches of the Maurice and Cohansey Rivers to the daily upstream location of the salt-front. The study augmented existing real-time tide gage data with the collection of water temperature and specific conductance data to develop the relationship. Additionally, longitudinal profiles upstream of the selected tide gages were conducted during a range of high tide conditions to define the location of the salt-front. Equations were then developed that related the daily SC measured at the tide gage to the upstream location of the salt-front. The equations were used to estimate the daily upstream location of the salt-front for the period of July 15, 2021, to July 15, 2024. This work can aid in understanding the propagation of saltwater upstream, which can affect local communities and crop farmers along these tidal reaches of the DRB.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255090","programNote":"Next Generation Water Observing Systems","usgsCitation":"Closson, J.L., Suro, T.P., and Niemoczynski, L.M., 2026, Methods for estimating daily upstream location of the\nfreshwater-saltwater interface along the Maurice and Cohansey Rivers, New Jersey: U.S. Geological Survey\nScientific Investigations Report 2025–5090, 19 p., https://doi.org/10.3133/sir20255090.","productDescription":"Report: v, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165703","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":502173,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119338.htm","linkFileType":{"id":5,"text":"html"}},{"id":501751,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13AFSIP","text":"USGS data release","linkHelpText":"Measurements of specific conductance at selected locations along the Maurice and Cohansey Rivers in New Jersey from 2021-24"},{"id":501744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5090/coverthb.jpg"},{"id":501749,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5090/sir20255090.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5090 XML"},{"id":501748,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255090/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5090 HTML"},{"id":501747,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5090/sir20255090.pdf","size":"4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5090 PDF"},{"id":501750,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5090/images/"}],"country":"United States","state":"New Jersey","otherGeospatial":"Maurice and Cohansey Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.55956607478444,\n 39.649881649287096\n ],\n [\n -75.55956607478444,\n 39.12910651391917\n ],\n [\n -74.40943284041703,\n 39.12910651391917\n ],\n [\n -74.40943284041703,\n 39.649881649287096\n ],\n [\n -75.55956607478444,\n 39.649881649287096\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, New Jersey 08648
An extreme flood on the Powder River in southeastern Montana in May 1978 inundated its valley and deposited sediment on the floodplains and terraces at multiple heights. The recurrence interval for this flood was less than 1 percent in the reach between Moorhead and Broadus, Montana. Peak discharges at the U.S. Geological Survey streamgages at Moorhead and Broadus were 779 and 711 cubic meters per second (m3/s), respectively, the difference reflecting the water and sediment stored on the valley surfaces. Bankfull discharge depended on the height of the bank at the start of the valley transect and varied from 243 to 713 m3/s. Sediment-thickness and particle-size data were collected and analyzed in the autumn of 1978 by U.S. Geological Survey scientists at about 900 sites along 20 valley transects between Moorhead and Broadus, Mont. These transects were approximately orthogonal to the floodflow across the floodplain from near the edge of the channel to the high-water mark. Estimated maximum flood depths along these transects ranged from 0.9 to 4.2 meters.
Contrary to theory and controlled laboratory experiments, the distribution of sediment thickness and particle sizes along valley transects did not decrease systematically with distance from the main channel but were affected by the distribution of vegetation. Additionally, some water and sediment—primarily muds and silts—were conveyed by subsidiary channels (often connected to the main channel downriver from the valley transect) during the early stages of the flood before water overtopped the banks at the start of the valley transect. The vegetation created natural sediment traps in the recirculation and wake zones in the lee of trees and shrubs. Sediment that accumulated in these traps formed dunes and thus an undulating surface with many local maximums and minimums in sediment thicknesses. Sediment in the traps are referred to as lee dunes, which recorded flow conditions and a predominance of coarsening-upward sequence of particle sizes (mud to silt to sands) starting at the preflood surface. These sequences were associated with the rising limb of the hydrograph, and later as the flood began to recede, the lee dunes recorded a fining-upward sequence associated with the falling limb of the hydrograph.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265122","usgsCitation":"Moody, J.A., and Meade, R.H., 2026, Thickness and other characteristics of overbank sediment deposited during an extreme flood in May 1978 along the Powder River, Montana: U.S. Geological Survey Scientific Investigations Report 2026–5122, 171 p., https://doi.org/10.3133/sir20265122.","productDescription":"Report: vii, 171 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-138009","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502176,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119336.htm","linkFileType":{"id":5,"text":"html"}},{"id":501974,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265122/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5122"},{"id":501545,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5122/sir20265122.xml"},{"id":501544,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5122/images"},{"id":501516,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FW7BV0","text":"USGS data release","linkHelpText":"Thickness and characteristics of overbank sediment deposited during an extreme flood in May 1978 along Powder River, Montana, USA"},{"id":501512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5122/coverthb.jpg"},{"id":501513,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5122/sir20265122.pdf","text":"Report","size":"24.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5122"},{"id":501515,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TQ5ZRN","text":"USGS data release","linkHelpText":"Channel Cross-section Data for Powder River between Moorhead and Broadus, Montana from 1975 to 2019 (ver. 3.0, August 2020)"}],"country":"United States","state":"Montana","otherGeospatial":"Powder River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.293826541244,\n 45.40690393539472\n ],\n [\n -105.49140782452875,\n 45.45840328213558\n ],\n [\n -106.02769987915833,\n 45.01117945121612\n ],\n [\n -105.76802162112723,\n 45.00918393356142\n ],\n [\n -105.293826541244,\n 45.40690393539472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The Emmons Lake volcanic center is a spatially clustered group of stratovolcanoes and calderas in the southwestern part of the Alaska Peninsula, Alaska. The volcanic center is characterized by several ice- and snow-clad stratovolcanoes located within and along the margins of a nested-caldera complex that includes Emmons Lake. A shieldlike ancestral edifice (ancestral Mount Emmons) is truncated by the caldera complex and forms a broad volcanic platform around the center. The main stratovolcanoes of the Emmons Lake volcanic center are Pavlof Sister, Pavlof Volcano, Little Pavlof, Double Crater, Mount Hague, and Mount Emmons. Several small unnamed cinder cones and vents also are located within Emmons Lake volcanic center and on the east flank of Pavlof Volcano. Many of these cones and vents have been the source of the young lava flows that mantle the floor of the caldera. Pavlof Volcano, in the northeastern part of the Emmons Lake volcanic center, is one of the most historically (that is, the past about 300 years) active volcanoes in Alaska, and eruptions from Pavlof Volcano pose the greatest hazards to the region.
Volcanic rocks of the Emmons Lake volcanic center overlie continental and marine sedimentary rocks of chiefly Late Jurassic to early Tertiary age. The oldest rocks in the area are those of the Naknek Formation, consisting of volcaniclastic sandstone, siltstone, and conglomerate of Late Jurassic age. The southern part of the area includes rocks of the Belkofski Formation, a thick sequence of volcaniclastic sandstone, siltstone, and conglomerate of middle Tertiary age. Lava flows, volcanic breccia, and fluvial volcaniclastic rocks of late Miocene age, which unconformably overlie the Belkofski Formation south of the Emmons Lake volcanic center, are primarily exposed on the islands just south of the Alaska Peninsula.
The Emmons Lake volcanic center was affected multiple times by glaciation associated with the glacier expansion that characterized the Quaternary. Glaciation has played a key role in shaping the present-day landscape, and much of the eruptive history of the Emmons Lake volcanic center has involved interactions with glacier ice. Thus, a brief review of the Quaternary glacial history of the area is provided to establish the physical context for Emmons Lake volcanic center eruptive activity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3519","usgsCitation":"Miller, T.P., Waythomas, C.F., Mangan, M.T., Trusdell, F.A., and Calvert, A.T., 2026, Geologic map of the Emmons Lake volcanic center, Alaska: U.S. Geological Survey Scientific Investigations Map 3519, 1 sheet, scale 1:100,000, pamphlet 59 p., https://doi.org/10.3133/sim3519.","productDescription":"Pamphlet: x, 59 p.; 1 Sheet: 49.75 x 31.44 inches; 3 Data Releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098480","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501635,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1QN3Y6J","text":"USGS data release","linkHelpText":"Whole-rock compositions of volcanic rocks and deposits in the Emmons Lake volcanic center, Alaska"},{"id":501634,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13EN4EF","text":"USGS data release","linkHelpText":"Thin-section data for volcanic rocks and deposits in the Emmons Lake volcanic center, Alaska"},{"id":501604,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3519/sim3519_sheet.pdf","text":"Sheet","size":"19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3519 Sheet"},{"id":501603,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3519/sim3519_pamphlet.pdf","text":"Pamphlet","size":"57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3519 Pamphlet"},{"id":501602,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3519/coverthb.jpg"},{"id":501633,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HUP9CA","text":"USGS data release","linkHelpText":"Geospatial database of the geologic map of the Emmons Lake volcanic center, Alaska"}],"scale":"100000","country":"United States","state":"Alaska","otherGeospatial":"Emmons Lake volcanic center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -162.5,\n 55.75\n ],\n [\n -162.5,\n 55\n ],\n [\n -161.5833,\n 55\n ],\n [\n -161.5833,\n 55.75\n ],\n [\n -162.5,\n 55.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Alaska Volcano Observatory
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
The Arizona Toad (Anaxyrus microscaphus) has been petitioned for protection under the U.S. Endangered Species Act (ESA) and is under evaluation for inclusion as a Covered Species under the Clark County Multi Species Habitat Conservation Plan Amendment (Clark County Department of Comprehensive Planning and USFWS, 2001; USFWS, 2015b). Although the species is locally abundant in some parts of its range, Arizona Toads have not been confirmed in Clark County since at least the 1980s. Extensive amphibian surveys in the late 1990s and examination of museum specimens reported no incidence of nonhybridized Arizona Toads in Clark County (Bradford et al., 2005), indicating a need to assess the current distribution of the species and availability of potential habitat for recovery efforts at the western extent of its historical range.
This document reports on the results of 2 years of Clark County Desert Conservation Program (DCP) funding to assess the status of Arizona Toad populations in the study area. This project supports data collection for an ongoing Species Status Assessment for the Arizona Toad by the U.S. Fish and Wildlife Service (USFWS) and provides data to support management actions to create or preserve suitable habitat for the Arizona Toad on Clark County Riparian Reserve properties.
","language":"English","publisher":"Clark County Desert Conservation Program","usgsCitation":"Stemp, K.M., and Hossack, B., 2026, Distribution and threats to the Arizona toad in Clark County: Final Project Report D18, 37 p.","productDescription":"37 p.","ipdsId":"IP-184974","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":502822,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502800,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.clarkcountynv.gov/"}],"country":"United States","state":"Nevada","county":"Clark 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Kenzi M 0000-0001-7566-8513","orcid":"https://orcid.org/0000-0001-7566-8513","contributorId":261169,"corporation":false,"usgs":false,"family":"Stemp","given":"Kenzi","email":"","middleInitial":"M","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":959399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":207343,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":959400,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275090,"text":"70275090 - 2026 - Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","interactions":[],"lastModifiedDate":"2026-04-15T15:51:40.835037","indexId":"70275090","displayToPublicDate":"2026-04-01T10:42:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":91,"text":"Technical Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ERDC/CHL TR-26-7","title":"Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects","docAbstract":"The escape and subsequent spread of invasive carp (notably, bighead carp [Hypophthalmichthys nobilis] and silver carp [H. molitrix]) from aquaculture ponds and sewage lagoons into the Mississippi and Illinois Rivers poses a significant risk to further spread of these fish into the Great Lakes. Prior research demonstrated that commercial tows can transport juvenile invasive carp through locks and other barriers to fish migration. A recent physical model study recommended a linear array of bubble diffusers, the Automated Barge Clearing Deterrent (ABCD), for further evaluation in mitigating the transport of small fish in commercial tows. The present field study evaluated the ABCD for navigation safety and barge junction flushing capacity. An instrumented commercial tow executed 119 lock approaches with the ABCD both operating and idle. Pilot interviews and tow trajectory analysis indicated no significant navigation safety issues. The measured velocity data, fish recapture data, and a simple fish displacement model indicated that the ABCD produced sufficient flow to expel all passive objects and many small juvenile invasive carp. However, the ABCD is less likely to expel large juvenile invasive carp due to their stronger swimming ability. The ABCD and two alternative configurations prove strong contenders for further development and application.
","language":"English","publisher":"Engineer Research and Development Center","doi":"10.21079/11681/50168","usgsCitation":"Smith, S.J., LeRoy, J.Z., Wainwright, C., and Glubzinski, M., 2026, Field evaluation of the Automated Barge Clearing Deterrent (ABCD): Hydrodynamic, navigation, and fish response effects: Technical Report ERDC/CHL TR-26-7, xii, 114 p., https://doi.org/10.21079/11681/50168.","productDescription":"xii, 114 p.","ipdsId":"IP-154304","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River, Peoria Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.61745931422736,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.63749779366924\n ],\n [\n -89.633583493815,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.626157323444914\n ],\n [\n -89.61745931422736,\n 40.63749779366924\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, S. Jarrell 0000-0002-8649-5598","orcid":"https://orcid.org/0000-0002-8649-5598","contributorId":361683,"corporation":false,"usgs":false,"family":"Smith","given":"S.","middleInitial":"Jarrell","affiliations":[{"id":37304,"text":"U.S. Army Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":959428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeRoy, Jessica Z. 0000-0003-4035-6872 jzinger@usgs.gov","orcid":"https://orcid.org/0000-0003-4035-6872","contributorId":174534,"corporation":false,"usgs":true,"family":"LeRoy","given":"Jessica","email":"jzinger@usgs.gov","middleInitial":"Z.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wainwright, Charles","contributorId":369957,"corporation":false,"usgs":false,"family":"Wainwright","given":"Charles","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":959430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glubzinski, Michael","contributorId":369958,"corporation":false,"usgs":false,"family":"Glubzinski","given":"Michael","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":959431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275357,"text":"70275357 - 2026 - Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","interactions":[],"lastModifiedDate":"2026-04-30T15:33:47.718435","indexId":"70275357","displayToPublicDate":"2026-04-01T10:26:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13436,"text":"Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon","docAbstract":"J.N. “Ding” Darling National Wildlife Refuge (DDNWR) is located on Sanibel Island along the southwestern coast of Florida, USA. There, eutrophication attributed to agricultural discharge along the Caloosahatchee River has affected the area’s aquatic habitat. In anticipation of additional nutrient loading, we experimentally fertilized mangrove forests with nitrogen (+N; NH4) and phosphorus (+P; P2O5) for 3 years, and monitored soil and pneumatophore CO2 fluxes and tree sap flow from two mangrove species. Furthermore, we modeled individual tree and stand water use, from which we developed carbon (C) budgets for +N and + P vs. control simulations based on a novel application of water use efficiency conversion. Many of the measured response variables provided hints of subtle changes in response to +P rather than +N, which were enhanced when scaled. From this, we found that additional P loading is expected to reduce both gross and net primary productivity as well as CO2 uptake via net ecosystem exchange of C, likely pressing the system beyond metabolic capacity and leading to a 48–62% decrease in projected lateral C export. Greater eutrophication will likely compound vulnerabilities to sea-level rise submergence, especially where P concentrations are high and already reducing soil surface elevations.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2026.10025","usgsCitation":"Krauss, K.W., Conrad, J.R., Duberstein, J.A., Ward, E.J., Drexler, J.Z., Buffington, K.J., Benscoter, B.W., Miller, H.J., Faron, N.T., Merino, S., From, A., Peneva-Reed, E., Zhu, Z., Thorne, K., and Feller, I.C., 2026, Excessive phosphorus loading contributes to future vulnerability of mangrove ecosystems by reducing net ecosystem exchange of carbon: Coastal Futures, v. 4, e6, 16 p., https://doi.org/10.1017/cft.2026.10025.","productDescription":"e6, 16 p.","ipdsId":"IP-184264","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":505305,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M9F5UM","text":"USGS data release","linkHelpText":"Sap flow, leaf water use efficiency, and partial weather station data to support stand water use modeling by nutrient treatment (N, P) for mangroves of Ding Darling NWR, Sanibel Island, Florida (2019-2020)"},{"id":503793,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2026.10025","text":"Publisher Index Page"},{"id":503684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"J.N. “Ding” Darling National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.26438925379385,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.619478639516487\n ],\n [\n -81.98882113982609,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.38991540523942\n ],\n [\n -82.26438925379385,\n 26.619478639516487\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken W.","contributorId":370704,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":960687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Jeremy R.","contributorId":370705,"corporation":false,"usgs":false,"family":"Conrad","given":"Jeremy","middleInitial":"R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duberstein, Jamie A.","contributorId":370706,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie","middleInitial":"A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":960689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, Eric J.","contributorId":370707,"corporation":false,"usgs":false,"family":"Ward","given":"Eric","middleInitial":"J.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":960690,"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":960691,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":960692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Benscoter, Brian W.","contributorId":370708,"corporation":false,"usgs":false,"family":"Benscoter","given":"Brian","middleInitial":"W.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":960693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Haley Jane","contributorId":370709,"corporation":false,"usgs":false,"family":"Miller","given":"Haley","middleInitial":"Jane","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":960694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Faron, Natalie T.","contributorId":370710,"corporation":false,"usgs":false,"family":"Faron","given":"Natalie","middleInitial":"T.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":960695,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Merino, Sergio 0000-0002-2834-2243 merinos@usgs.gov","orcid":"https://orcid.org/0000-0002-2834-2243","contributorId":3653,"corporation":false,"usgs":true,"family":"Merino","given":"Sergio","email":"merinos@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":960696,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"From, Andrew 0000-0002-6543-2627","orcid":"https://orcid.org/0000-0002-6543-2627","contributorId":370711,"corporation":false,"usgs":false,"family":"From","given":"Andrew","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":960697,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Peneva-Reed, Elitsa I. 0000-0002-4570-4701","orcid":"https://orcid.org/0000-0002-4570-4701","contributorId":294531,"corporation":false,"usgs":false,"family":"Peneva-Reed","given":"Elitsa I.","affiliations":[],"preferred":false,"id":960698,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":960699,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"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":960700,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Feller, Ilka C.","contributorId":370724,"corporation":false,"usgs":false,"family":"Feller","given":"Ilka","middleInitial":"C.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":960701,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70275015,"text":"70275015 - 2026 - Geochemical disequilibrium at the brittle-ductile transition","interactions":[],"lastModifiedDate":"2026-04-10T15:28:04.020184","indexId":"70275015","displayToPublicDate":"2026-04-01T10:18:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical disequilibrium at the brittle-ductile transition","docAbstract":"We investigate the microtextural, microchemical, and isotopic effects of late-stage ductile deformation in quartzite mylonites and kyanite–muscovite–quartz veins from the Raft River shear zone (Utah). Quartz microstructures record pervasive disequilibrium, expressed by unannealed features including undulatory extinction, deformation lamellae, and poorly defined fabrics, typical of waning deformation in shear zones. Microchemical disequilibrium is best preserved in kyanite quartzites, where CL-zoned kyanite records repeated fractures, overgrowth, and mineral precipitation, and in muscovite from muscovite-poor quartzite mylonites that shows minor-element zoning consistent with syn-deformational overgrowth on detrital cores. In contrast, muscovite from muscovite-rich kyanite quartzites exhibits minimal chemical zoning. These microchemical variations correlate with 40Ar/39Ar age systematics. Chemically zoned muscovite preserves variable single-step ages, including ∼150 Ma ages, reflecting retention of detrital cores. In contrast, syndeformational muscovite consistently yields Miocene ages, indicating recrystallization and new growth below argon closure temperatures that reset inherited isotopic signatures. Similar trends are observed in quartzite mylonites, where increasing quartz recrystallization and stronger crystallographic preferred orientations occur toward deeper structural levels. Together, these observations indicate increasing retrograde deformation and recrystallization with depth in the Raft River shear zone and demonstrate that strain-driven recrystallization exerts a first-order control on muscovite ages. We suggest that apparent thermochronologic gradients in retrograde shear zones may reflect recrystallization gradients rather than temperature gradients. Where cooling limits the thermal driving force for recrystallization, isotopic relics are preserved, and local deformation and fluid availability control re-equilibration. Consequently, isotopic disequilibrium—particularly in the 40Ar/39Ar system—may be the rule rather than the exception of retrograde tectonic environments.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012458","usgsCitation":"Gottardi, R., McAleer, R.J., Casale, G., and Wong, M., 2026, Geochemical disequilibrium at the brittle-ductile transition: Geochemistry, Geophysics, Geosystems, v. 27, no. 4, e2025GC012458, 21 p., https://doi.org/10.1029/2025GC012458.","productDescription":"e2025GC012458, 21 p.","ipdsId":"IP-183250","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":502992,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012458","text":"Publisher Index Page"},{"id":502697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Utah","otherGeospatial":"Raft River metamorphic core complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114,\n 42.3\n ],\n [\n -114,\n 41.6\n ],\n [\n -113.25,\n 41.6\n ],\n [\n -113.25,\n 42.3\n ],\n [\n -114,\n 42.3\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gottardi, Raphael 0000-0002-6774-1343","orcid":"https://orcid.org/0000-0002-6774-1343","contributorId":194320,"corporation":false,"usgs":false,"family":"Gottardi","given":"Raphael","email":"","affiliations":[{"id":7155,"text":"University of Louisiana at Lafayette","active":true,"usgs":false}],"preferred":false,"id":959205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":959206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":959207,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Martin 0000-0001-5559-3235","orcid":"https://orcid.org/0000-0001-5559-3235","contributorId":356079,"corporation":false,"usgs":false,"family":"Wong","given":"Martin","affiliations":[{"id":37669,"text":"Colgate University","active":true,"usgs":false}],"preferred":false,"id":959208,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275158,"text":"70275158 - 2026 - Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State","interactions":[],"lastModifiedDate":"2026-04-17T15:13:50.560364","indexId":"70275158","displayToPublicDate":"2026-04-01T09:35:39","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":24007,"text":"Geo-INQUIRE Project Report","active":true,"publicationSubtype":{"id":3}},"title":"Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State","docAbstract":"No abstract available.
","language":"English","publisher":"Geo-INQUIRE Consortium","usgsCitation":"La Selle, S., Løvholt, F., and Gibbons, S., 2026, Tsunami hazards posed by sublacustrine landslides in Lake Quinault, Washington State: Geo-INQUIRE Project Report, 5 p.","productDescription":"5 p.","ipdsId":"IP-184458","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503205,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geo-inquire.eu/transnational-access/project-reports/c2-ta2-532-1-2-la-selle"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Quinault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.81995120887125,\n 47.507889137068645\n ],\n [\n -123.92453205415768,\n 47.507889137068645\n ],\n [\n -123.92453205415768,\n 47.439110226792536\n ],\n [\n -123.81995120887125,\n 47.439110226792536\n ],\n [\n -123.81995120887125,\n 47.507889137068645\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Løvholt, Finn","contributorId":201789,"corporation":false,"usgs":false,"family":"Løvholt","given":"Finn","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":959730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gibbons, Steven","contributorId":150709,"corporation":false,"usgs":false,"family":"Gibbons","given":"Steven","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":959731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276904,"text":"70276904 - 2026 - Earthquake ground-motion model attenuation adjustments for the San Francisco Bay area","interactions":[],"lastModifiedDate":"2026-06-25T14:43:06.895792","indexId":"70276904","displayToPublicDate":"2026-04-01T09:31:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake ground-motion model attenuation adjustments for the San Francisco Bay area","docAbstract":"We develop adjustments to ergodic ground‐motion models (GMMs) to improve their performance in the San Francisco Bay Area (SFBA). GMMs are widely used in hazard assessments to estimate characteristics of ground shaking based on known properties of the source, path, and site. Such models are often developed using datasets containing records from various regions, resulting in models that represent median ground‐motion behavior, which may not adequately represent ground motions within subregions. This is true for the SFBA, where ground motions attenuate more rapidly with distance than in many other parts of California that dominate GMM databases. To support improved seismic hazard estimates in the SFBA, we calculate regional constants and anelastic attenuation coefficient adjustments relative to two commonly used ergodic GMMs: BSSA14 (Boore et al., 2014) and ASK14 (Abrahamson et al., 2014). These adjustments are obtained for a suite of ground‐motion intensity measures (peak ground acceleration, peak ground velocity, and 5%‐damped pseudospectral acceleration at oscillator periods ranging from 0.075 to 10 s) using mixed‐effects regression. Use of the regionally adjusted models reduces the overall bias by up to 0.5 natural log units for BSSA14 and up to 0.6 natural log units for ASK14. We demonstrate one application of our attenuation adjustments and their implications in an earthquake early warning case study of the 2014 M 6.0 South Napa earthquake. The predicted extent of shaking using the adjusted models better matches observed shaking at large source‐to‐site distances, especially for lower shaking intensities, thus potentially reducing overalerting. We encourage the use of our model adjustments when ergodic models are considered for seismic hazard studies in the SFBA.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250215","usgsCitation":"Nye, T.A., Parker, G.A., and Baltay, A.S., 2026, Earthquake ground-motion model attenuation adjustments for the San Francisco Bay area: Seismological Research Letters, https://doi.org/10.1785/0220250215.","ipdsId":"IP-180130","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":506095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250215","text":"Publisher Index Page"},{"id":505904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.5,\n 39\n ],\n [\n -121,\n 39\n ],\n [\n -121,\n 36\n ],\n [\n -123.5,\n 36\n ],\n [\n -123.5,\n 39\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Nye, Tara Ashley 0000-0003-3210-6013","orcid":"https://orcid.org/0000-0003-3210-6013","contributorId":372823,"corporation":false,"usgs":true,"family":"Nye","given":"Tara","middleInitial":"Ashley","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963639,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963640,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":963641,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275258,"text":"70275258 - 2026 - Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","interactions":[],"lastModifiedDate":"2026-04-24T14:39:10.06644","indexId":"70275258","displayToPublicDate":"2026-04-01T09:21:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update","docAbstract":"A key use‐case of geologic slip rates is within deformation models used in probabilistic seismic hazard analyses. Field‐derived geologic slip rates have formed the cornerstone of deformation models in such applications for decades. Recent advancements in seismic hazard analyses have expanded the use of faults for which geologic slip rates are not well constrained using categorical slip rate estimates. Because of these advancements, application of a geologic deformation model for use in 2025 U.S. Geological Survey National Seismic Hazard Model Puerto Rico‐U.S. Virgin Islands (NSHM25‐PRVI) proved challenging due to: (1) a lack of field‐based geologic slip rates, and (2) a lack of epistemic uncertainty distributions within a broad range of estimated slip rates. Preliminary versions of the NSHM25‐PRVI model sampled these slip rate bins in a coincident manner along preferred and extreme value branches, which yielded untenable correlations in mean hazard results. To minimize the influence of correlated uncertainties amid these challenges, we develop a synthetic epistemic uncertainty distribution for deformation rate on each crustal fault. Each fault has a weighting schema across four possible distribution shapes: uniform, normal, triangular favoring local minima, and triangular favoring local maxima. The synthetic distributions are then sampled several times for each logic tree branch. The results provide a more realistic distribution of rates across the study region as compared with using correlated extrema sampling. This exploration of our method in a small region like PRVI can pave the way for larger‐scale, more complicated applications (e.g., western United States).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250094","usgsCitation":"Hatem, A.E., Milner, K., Briggs, R.W., and Jobe, J.A., 2026, Making many out of one: Synthetic geologic deformation model distributions for use in USGS NSHM25‐PRVI Puerto Rico-U.S. Virgin Island update: Seismological Research Letters, https://doi.org/10.1785/0220250094.","ipdsId":"IP-179152","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":503762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250094","text":"Publisher Index Page"},{"id":503512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, US Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70,\n 21\n ],\n [\n -62,\n 21\n ],\n [\n -62,\n 16\n ],\n [\n -70,\n 16\n ],\n [\n -70,\n 21\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":960262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":960264,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275685,"text":"70275685 - 2026 - Post-hatch ecology, diet, and first migration of juvenile Alaskan Bar-tailed Godwits","interactions":[],"lastModifiedDate":"2026-05-11T14:38:59.572717","indexId":"70275685","displayToPublicDate":"2026-04-01T09:20:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5557,"text":"Wader Study","active":true,"publicationSubtype":{"id":10}},"title":"Post-hatch ecology, diet, and first migration of juvenile Alaskan Bar-tailed Godwits","docAbstract":"Life stages between hatching and adult recruitment are poorly described for most migratory shorebird species and represent a critical knowledge gap in understanding long-term population dynamics. We conducted a pilot study on the Seward Peninsula, Alaska, to assess the feasibility of following juvenile Bar-tailed Godwits Limosa lapponica baueri from their breeding grounds to their non-breeding grounds in New Zealand and Australia. Radio-tracked broods were highly mobile and moved hundreds to thousands of meters per day. They used low-elevation wetlands with dense shrub cover when younger, and more open, tundra-dominated ridgetops when older. Using DNA metabarcoding analysis of fecal samples, we found that chick diet consisted largely of flying insects (e.g. Tenthredinidae and Ichneumonidae) and small gastropods and appeared to increase in diversity with chick age. We followed one brood to near-fledging (ca. 26 days old) and deployed 5-g satellite transmitters on three chicks. One of these subsequently moved to the Yukon-Kuskokwim Delta, from where it flew 11 days and an estimated 13,391 km to Tasmania, which is the longest non-stop flight recorded for landbirds. These results provide the first information on the ecology of pre- and post-fledging young Bar-tailed Godwits in Alaska, and will inform future efforts to study this important life stage.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00394","usgsCitation":"Conklin, J.R., Ruthrauff, D., Valcu, M., Verkuil, Y.I., Johnson, J.A., and Kempenaers, B., 2026, Post-hatch ecology, diet, and first migration of juvenile Alaskan Bar-tailed Godwits: Wader Study, v. 133, no. 1, p. 12-25, https://doi.org/10.18194/ws.00394.","productDescription":"14 p.","startPage":"12","endPage":"25","ipdsId":"IP-179621","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia, New Zealand, United States","state":"Alaska","volume":"133","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Conklin, Jesse R.","contributorId":169340,"corporation":false,"usgs":false,"family":"Conklin","given":"Jesse","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":961400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":244581,"corporation":false,"usgs":false,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":961401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valcu, Mihai 0000-0002-6907-7802","orcid":"https://orcid.org/0000-0002-6907-7802","contributorId":216254,"corporation":false,"usgs":false,"family":"Valcu","given":"Mihai","email":"","affiliations":[{"id":12472,"text":"Max Planck Institute for Ornithology","active":true,"usgs":false}],"preferred":false,"id":961402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verkuil, Yvonne I.","contributorId":194622,"corporation":false,"usgs":false,"family":"Verkuil","given":"Yvonne","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":961403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kempenaers, Bart","contributorId":344055,"corporation":false,"usgs":false,"family":"Kempenaers","given":"Bart","affiliations":[],"preferred":false,"id":961405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274682,"text":"70274682 - 2026 - Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","interactions":[],"lastModifiedDate":"2026-04-06T14:19:40.048443","indexId":"70274682","displayToPublicDate":"2026-04-01T09:15:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables","docAbstract":"Streamflows in Massachusetts have set record lows in recent years despite generally wetter conditions than during the drought of the 1960s, and the reasons for this are not known. To analyse potential drivers of low streamflows in Massachusetts, six low-flow metrics were computed at 107 streamgages. These metrics represent low-flow magnitude, magnitude normalized to median flows, and duration. Multiple linear regressions were used to analyse the variability of low flows over space and time. Potential explanatory variables were computed using climatic, land use, water use, and basin data. For all low-flow metrics, the ratio of precipitation to potential evapotranspiration (P/PET) in July–August explained the most variability, with decreasing P/PET largely explained by lower precipitation. Water/wetland area was a significant explanatory variable in all the normalized-magnitude and duration models, with greater area associated with lower normalized magnitudes and with shorter durations of low flows. Human influence (characterized by development, population, water use, and artificial water storage) had mixed effects. Trends from 1983 to 2022 in summer P/PET and human influence have been strongest in the eastern part of the state where the strongest decreases in flows are observed. Low flows in Massachusetts seem to be driven by a combination of low summer precipitation and human effects, though the specific mechanisms of human influence on flow likely vary between basins.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70108","usgsCitation":"Chamberlin, C.A., and Hodgkins, G., 2026, Low streamflows in Massachusetts: Variability over space and time and relations with climatic and basin variables: Journal of the American Water Resources Association, v. 62, no. 2, e70108, 19 p., https://doi.org/10.1111/1752-1688.70108.","productDescription":"e70108, 19 p.","ipdsId":"IP-176468","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":502469,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70108","text":"Publisher Index Page"},{"id":502200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Chamberlin, Catherine A. 0000-0002-1307-4784","orcid":"https://orcid.org/0000-0002-1307-4784","contributorId":331334,"corporation":false,"usgs":true,"family":"Chamberlin","given":"Catherine","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":214833,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958690,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275225,"text":"70275225 - 2026 - Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California","interactions":[],"lastModifiedDate":"2026-04-23T14:17:09.743531","indexId":"70275225","displayToPublicDate":"2026-04-01T09:12:36","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California","docAbstract":"Volcanic rocks of latest Oligocene to early Miocene age form an east-west belt across part of the central eastern Mojave Desert from the Whipple Mountains on the east to the Rosamond Hills on the west. We term this the central belt because it is separated from northern and southern belts by swaths with no volcanic rocks. Limited geochronologic data indicate that much of the belt is latest Oligocene and early Miocene in age, about 24 to 19 Ma, a finding that is consistent with these rocks being overlain by the 18.8 Ma Peach Spring Tuff in many places.
We describe Miocene geology in a central area of the belt, in the Lava Hills, southern Bristol Mountains, and southern Old Dad Mountains. Sedimentary basins formed coeval with early andesite to rhyolite volcanism, progressing from fluvial and lacustrine tuffaceous sandstone to volcanic lavas, tuffs, and breccias, indicating that early basins formed proximal to volcanic edifices. Higher strata are fluvial and lacustrine with lavas punctuating the sequence. Although basins may partly have been formed within topographic lows bounded by volcanic domes, plateaus, and stratovolcanoes, consistent stratigraphic sections over wide areas indicate that tectonic basin evolution affected broad areas. The volcanic section is capped by local basalt flows and the regional Peach Spring Tuff. Limited data on normal faults support interpretations of early extensional basin development caused by northeast-southwest oriented stretching. Later extension caused stratal rotations, tilting early deposits down to the southwest. This tilted and subsequently beveled basin architecture was overlain by the youngest volcanic deposits, primarily rhyolite and basalt. The Peach Spring Tuff, 18.8 Ma, lies within this upper unit. Similar stratigraphic and structural relations are exposed in the nearby Marble Mountains and Van Winkle Mountain sections, reinforcing that a broad area underwent similar volcanism and tectonism. In our study area the upper unit is only very gently tilted except near dextral strike-slip faults of the eastern California shear zone. These late Miocene to Recent faults are represented as four main fault zones spaced about 5 km apart, representing distributed shear north of the Bristol Lake basin.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Miocene Mojave: The volcanic story: Desert Symposium field guide and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Desert Symposium, Inc.","usgsCitation":"Miller, D., Harvey, J., Buesch, D.C., and Gans, P., 2026, Early Miocene volcanic rocks and associated tectonics, Lava Hills and southern Bristol Mountains, California, in Miocene Mojave: The volcanic story: Desert Symposium field guide and proceedings, p. 59-70.","productDescription":"12 p.","startPage":"59","endPage":"70","ipdsId":"IP-185986","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":503337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503330,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://desertsymposium.org"}],"country":"United States","state":"California","otherGeospatial":"Lava Hills, southern Bristol Mountains, and southern Old Dad Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 36\n ],\n [\n -118.5,\n 36\n ],\n [\n -118.5,\n 33\n ],\n [\n -114,\n 33\n ],\n [\n -114,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":238721,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":960169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Janet","contributorId":296385,"corporation":false,"usgs":false,"family":"Harvey","given":"Janet","email":"","affiliations":[{"id":64025,"text":"Heidelberg University Institute of Earth Sciences","active":true,"usgs":false}],"preferred":false,"id":960170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buesch, David C. 0000-0002-4978-5027 dbuesch@usgs.gov","orcid":"https://orcid.org/0000-0002-4978-5027","contributorId":1154,"corporation":false,"usgs":true,"family":"Buesch","given":"David","email":"dbuesch@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":960171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gans, Phillip B.","contributorId":351265,"corporation":false,"usgs":false,"family":"Gans","given":"Phillip B.","affiliations":[{"id":83939,"text":"UCSB Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":960172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274794,"text":"70274794 - 2026 - Letter from leadership","interactions":[],"lastModifiedDate":"2026-04-09T14:07:52.967555","indexId":"70274794","displayToPublicDate":"2026-04-01T09:01:34","publicationYear":"2026","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":23842,"text":"Southwest Climate Adaptation Science Center Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Letter from leadership","docAbstract":"No abstract available.
","language":"English","publisher":"University of Arizona","usgsCitation":"Lien, A., and McAfee, S.A., 2026, Letter from leadership: Southwest Climate Adaptation Science Center Newsletter, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-188274","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502346,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://swcasc.arizona.edu/newsroom/newsletter"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lien, Aaron","contributorId":369630,"corporation":false,"usgs":false,"family":"Lien","given":"Aaron","affiliations":[],"preferred":false,"id":959169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McAfee, Stephanie Anne 0000-0002-9313-5857","orcid":"https://orcid.org/0000-0002-9313-5857","contributorId":343458,"corporation":false,"usgs":true,"family":"McAfee","given":"Stephanie","middleInitial":"Anne","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":959155,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275171,"text":"70275171 - 2026 - Small cumulative survival costs of enzootic disease could suppress long-term population size","interactions":[],"lastModifiedDate":"2026-04-20T14:05:28.185274","indexId":"70275171","displayToPublicDate":"2026-04-01T08:55:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Small cumulative survival costs of enzootic disease could suppress long-term population size","docAbstract":"Fungal pathogens can cause epizootics that result in widespread mortality and rapid population declines in some species. However, even in the absence of high disease-induced mortality, enzootic mycoses could have large-scale impacts on host population dynamics. Here, we examined the effects of ophidiomycosis, an enzootic fungal disease, on a Louisiana snake community over a 3-year period using a multi-state Jolly–Seber model with disease-state misclassification. We did not detect a difference between the average weekly apparent survival probability of uninfected and infected hosts for either Nerodia species or Thamnophis proximus. We also found a strong positive association between snout-to-vent length and weekly apparent survival probability across all species. We found that recruitment of infected hosts was slightly higher than recruitment of uninfected hosts for two of the three species. Population projections suggested divergent trajectories between disease-present and disease-absent scenarios, where disease-absent populations had higher abundance than disease-present populations. Our results highlight that small differences in survival can accumulate over time, as well as the challenges of quantifying population-level impacts of enzootic diseases when survival differences are not readily detected, underscoring the importance of continued long-term monitoring to assess whether ophidiomycosis affects snake population dynamics.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rsos.251694","usgsCitation":"Glorioso, B., DiRenzo, G.V., Lorch, J., Mosher, B.A., Miller, D.A., Campbell Grant, E.H., and Waddle, H., 2026, Small cumulative survival costs of enzootic disease could suppress long-term population size: Royal Society Open Science, v. 13, no. 4, 251694, 23 p., https://doi.org/10.1098/rsos.251694.","productDescription":"251694, 23 p.","ipdsId":"IP-122970","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":503436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.251694","text":"Publisher Index Page"},{"id":503245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","county":"Vermillion Parish","otherGeospatial":"Palmetto Island State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.15593638201882,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.87357117735192\n ],\n [\n -92.12258224932938,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.844418708723012\n ],\n [\n -92.15593638201882,\n 29.87357117735192\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad M. 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella V. 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":370139,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":959865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":264594,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":959866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mosher, Brittany A. 0000-0002-8458-9056","orcid":"https://orcid.org/0000-0002-8458-9056","contributorId":370141,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","middleInitial":"A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":959867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David A.W. 0000-0002-3011-3677","orcid":"https://orcid.org/0000-0002-3011-3677","contributorId":370142,"corporation":false,"usgs":false,"family":"Miller","given":"David","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":959868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":959869,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":204398,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":959870,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275035,"text":"70275035 - 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to demonstrate the technology and evaluate carp population size at sites with high abundances based on previous surveys. Fish density was estimated to be 32 fish/10,000 yd3 (95% confidence interval [CI; 31–34]) using down-imaging software, which is the first estimate of assumed bigheaded carp density in the LMR. Additional fish collections are needed to confirm species composition and size abundance provided by sonar technology. Resurveying sites with high carp abundance over a range of river stages would be necessary to fully characterize habitat conditions, evaluate influence of river stage on occupancy duration, and continue to evaluate species composition and mass removal techniques as a management option in the Lower Mississippi River.
Lake Ontario Lake Trout (Salvelinus namaycush) rehabilitation has been assessed with fishery dependent and independent surveys to evaluate program benchmarks and compare observations with management objectives since 1983. These surveys provide information on the abundance, strain composition, and performance of stocked Lake Trout, as well as information on levels of natural recruitment, and Sea Lamprey (Petromyzon marinus) wounding rates. Lake Trout catch per unit effort (CPUE) in the August gillnet survey was notably lower in 2025. Percentage of naturally produced Lake Trout in US waters continued to be relatively low for mature and immature fish. Sea Lamprey wounding rates on Lake Trout > 432 mm in 2025 were below management target in US waters with zero A1 wounds observed. Overall, the 2025 survey results suggest that Lake Trout indicators continue to meet some of the management objectives but are not showing signs of meaningful recruitment to the adult stock.
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