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":"Report: vi, 12 p.","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-183447","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502161,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1222/images"},{"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":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":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":502157,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1222/coverthb.jpg"}],"contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
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
U.S. Geological Survey
3162 Bozeman Avenue
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":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":501744,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5090/coverthb.jpg"},{"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":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
The Delaware River basin serves as the drinking water supply for 15 million people. However, saltwater can move upstream during low- flow periods, threatening this water supply. The study established a relationship between daily specific conductance and the position of the salt- front. Data were collected from existing U.S. Geological Survey tide gages and multiparameter water- quality sondes installed in 2021 to record specific conductance and water temperature. For the Maurice River, the salt- front varied from around 10.8 to 23.2 river miles over the study period. For the Cohansey River, it ranged between 18.5 to 20.4 river miles. The position of the salt- front depended on freshwater discharge from rainfall and tidal patterns. Low freshwater flows led to the salt- front moving upstream.
","publicationDate":"2026-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Closson, Jennifer L. 0009-0008-3835-0248","orcid":"https://orcid.org/0009-0008-3835-0248","contributorId":368903,"corporation":false,"usgs":true,"family":"Closson","given":"Jennifer","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":958072,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958073,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274302,"text":"sir20265122 - 2026 - Thickness and other characteristics of overbank sediment deposited during an extreme flood in May 1978 along the Powder River, Montana","interactions":[],"lastModifiedDate":"2026-04-03T17:29:50.756881","indexId":"sir20265122","displayToPublicDate":"2026-04-01T18:10:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5122","displayTitle":"Thickness and Other Characteristics of Overbank Sediment Deposited During an Extreme Flood in May 1978 Along the Powder River, Montana","title":"Thickness and other characteristics of overbank sediment deposited during an extreme flood in May 1978 along the Powder River, Montana","docAbstract":"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 Determining Volcanic Risk in Auckland (DEVORA) Research Programme was launched in 2008 to address the challenges associated with monogenetic volcanism in an urban setting and to enhance volcanic risk management in Tāmaki Makaurau Auckland in Aotearoa New Zealand. It is a multi-agency, increasingly transdisciplinary (defined here as research that transcends traditional disciplinary boundaries by integrating diverse types of knowledge, perspectives, and methods from academic and non-academic participants to create novel solutions to complex problems), and collaborative research program jointly led by Waipapa Taumata Rau University of Auckland and Earth Sciences New Zealand (ESNZ; formerly GNS Science), with core funding from Natural Hazards Commission Toka Tū Ake (NHC; formerly the Earthquake Commission, EQC) and Te Kaunihera o Tāmaki Makaurau Auckland Council (AC). The primary research focus of DEVORA is to investigate the geologic history, volcanic hazards, and risk posed by the basaltic intraplate Auckland Volcanic Field. Disruption from ash fall and gas from other Aotearoa New Zealand volcanoes is also considered. DEVORA’s work to explore exposure and vulnerability in Tāmaki Makaurau Auckland is also useful for assessing risks from other non-volcanic natural hazards, such as seismic and tsunami hazards. The greater Tāmaki Makaurau Auckland region has an ethnically and socio-economically diverse population of approximately 1.7 million, representing about one-third of the Aotearoa New Zealand population, and hosts critical infrastructure of national significance. The size and nature of the populace, consequential economic base, and important infrastructure within Tāmaki Makaurau Auckland mean that the effects of a volcanic eruption would be felt nationally, including through the disruption of air travel to Aotearoa New Zealand. The hazards from such an eruption could potentially affect hundreds of thousands of people, businesses, and lifelines (critical infrastructure). A considerable challenge for emergency and risk managers is the monogenetic nature of the volcanic field. It is not known where or when the next eruption will occur, how much warning we may get before an eruption, nor how an eruption and its effects might unfold. In this contribution, we highlight the concept and collaborative intent of the DEVORA Programme and show how it has evolved over the 16 years since its inception. We describe how DEVORA has unified more than 100 researchers (including more than 50 graduate students) and numerous stakeholders to address key issues facing Tāmaki Makaurau Auckland and describe how research findings are being implemented into policy and communicated to stakeholder agencies and the public. We also illustrate the broader influence of the DEVORA Programme and provide some learnings that might benefit others embarking on similar integrated projects, especially those focused on distributed volcanism in and near populated areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1890B","usgsCitation":"Lindsay, J.M., Smid, E.R., Balfour, N., Deligne, N.I., Doherty, A., Hall, A., Howe, T., Jolly, G., Leonard, G., Lewis, K., Miller, C., Nersezova, E., Roberts, R., Smith, R., Stolberger, T., Tapuke, K., and Wilson, T., 2026, Determining Volcanic Risk in Auckland (DEVORA) Research Programme—A transdisciplinary approach to address the challenge of distributed volcanism in an urban environment, chap. B of Poland, M.P., Ort, M.H., Stovall, W.K., Vaughan, R.G., Connor, C.B., and Rumpf, M.E., eds., Distributed volcanism—Characteristics, processes, and hazards: U.S. Geological Survey Professional Paper 1890, 22 p., https://doi.org/10.3133/pp1890B.","productDescription":"v, 22 p.","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-157953","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501880,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1890/b/images"},{"id":501876,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1890/b/coverthb.jpg"},{"id":501877,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1890/b/pp1890B.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1890-B PDF"},{"id":501878,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1890B/full","linkFileType":{"id":5,"text":"html"},"description":"Professional Paper 1890-B HTML"},{"id":501879,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1890/b/pp1890B.XML","linkFileType":{"id":8,"text":"xml"},"description":"Professional Paper 1890-B XML"}],"country":"New Zealand","city":"Auckland","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 174.09266035020408,\n -35.84596871183301\n ],\n [\n 174.09266035020408,\n -37.29321108138314\n ],\n [\n 176.16213903754578,\n -37.29321108138314\n ],\n [\n 176.16213903754578,\n -35.84596871183301\n ],\n [\n 174.09266035020408,\n -35.84596871183301\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Volcano Science Center
U.S. Geological Survey
4230 University Drive
Anchorage, AK 99508
Supersaturation of total dissolved gases (TDG) can potentially occur in the tailrace water at the Youghiogheny River at dam outlet tunnel near Confluence, Pennsylvania (U.S. Geological Survey [USGS] streamgaging and monitoring station 03077100). The USGS, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report TDG saturation data in the tailrace below the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Data are collected from June 1 through November 30 of each year, and these data are used by the U.S. Army Corps of Engineers to guide management of the dam outflow. Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at USGS station 03077100 are presented in this report. The TDG data are publicly available in the USGS National Water Information System database.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261068","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Pittsburgh District","usgsCitation":"Ruddy, A.J., Woodward, E.E., and Casile, G.C., 2026, Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania: U.S. Geological Survey Open-File Report 2026–1068, 14 p., https://doi.org/10.3133/ofr20261068.","productDescription":"Report: v, 14 p.; Dataset","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164097","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":502175,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119335.htm","linkFileType":{"id":5,"text":"html"}},{"id":501320,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"- USGS 03077100 Youghiogheny R at dam outlet tunnel nr Confluence, in USGS water data for the Nation"},{"id":501319,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1068/images/"},{"id":501318,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1068 XML"},{"id":501317,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261068/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1068 HTML"},{"id":501316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.pdf","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1068 PDF"},{"id":501315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1068/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Confluence","otherGeospatial":"Youghiogheny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.35338805072584,\n 39.814823121451155\n ],\n [\n -79.37828904728073,\n 39.814823121451155\n ],\n [\n -79.37828904728073,\n 39.79172700829372\n ],\n [\n -79.35338805072584,\n 39.79172700829372\n ],\n [\n -79.35338805072584,\n 39.814823121451155\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report total dissolved gases (TDG) saturation data in the tailrace (a channel or pool below a dam where water from the dam is discharged) of the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at U.S. Geological Survey station 03077100 are presented in this report.
","publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruddy, Allan J. 0009-0000-3506-7385","orcid":"https://orcid.org/0009-0000-3506-7385","contributorId":367237,"corporation":false,"usgs":true,"family":"Ruddy","given":"Allan","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casile, Gerolamo C. 0000-0002-7952-6421","orcid":"https://orcid.org/0000-0002-7952-6421","contributorId":202479,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":957162,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274513,"text":"70274513 - 2026 - DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","interactions":[],"lastModifiedDate":"2026-03-30T14:08:43.374815","indexId":"70274513","displayToPublicDate":"2026-03-27T09:05:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","docAbstract":"The sea lamprey (Petromyzon marinus), a non-native species in the Laurentian Great Lakes, has significantly impacted native fish communities and commercial fisheries, requiring population suppression efforts. While traditional control methods such as lampricides and barriers have reduced sea lamprey population abundance, questions remain regarding sea lamprey dietary composition given the focus of current damage assessments on economically and ecologically important host species. Recent advances in molecular technology offer promising methods of sea lamprey dietary assessment. Specifically, DNA metabarcoding enables species-specific identification of taxonomically diverse prey items from gut and fecal samples, and has proven effective in many taxa, including hematophagous species such as Arctic lamprey (Lethenteron camtschaticum) and sea lamprey. However, studies on DNA retention within digestive tracts are limited, particularly given the potential effects of environmental and dietary factors among hematophagous species. We used controlled feeding experiments to understand the effects these factors may have on DNA retention and host detectability within sea lamprey digestive tracts. Additionally, we evaluated the utility of metabarcoding for identifying multiple host species from consecutive feedings. Results indicate that host DNA can be detected up to 30 days post-feeding, with detection probability decreasing with increasing time following feeding. Temperature effects were dependent upon fasting periods, and host-switching trials indicated multiple previous host species could be detected from a single lamprey. Findings provide valuable insights for refining dietary analysis protocols for wild-caught sea lamprey within native and introduced ranges.
","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70268","usgsCitation":"O'Kane, C., Johnson, N.S., Scribner, K.T., Kanefsky, J., Li, W., Bruning, T., and Robinson, J.D., 2026, DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments: Environmental DNA, v. 8, no. 2, e70268, 11 p., https://doi.org/10.1002/edn3.70268.","productDescription":"e70268, 11 p.","ipdsId":"IP-184313","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70268","text":"Publisher Index Page"},{"id":501787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Kane, Conor","contributorId":360151,"corporation":false,"usgs":false,"family":"O'Kane","given":"Conor","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scribner, Kim T.","contributorId":368904,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, John D.","contributorId":368907,"corporation":false,"usgs":false,"family":"Robinson","given":"John","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274493,"text":"70274493 - 2026 - Advances in volcano monitoring driven by the first decade of Sentinel-1 observations","interactions":[],"lastModifiedDate":"2026-03-27T15:48:35.399426","indexId":"70274493","displayToPublicDate":"2026-03-26T08:41:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Advances in volcano monitoring driven by the first decade of Sentinel-1 observations","docAbstract":"Sentinel-1 has transformed how satellite radar data (SAR and InSAR) are used in volcanology. The systematic, long-term archive and open-access policy means that volcano observatories and research organisations have invested in integrating Sentinel-1 datasets into their monitoring systems. We identify 233 high priority volcanoes and estimate that Sentinel-1 data has been used in peer-reviewed publications for 90 of them. We examine a global archive of 3.3 million automatically processed Sentinel-1 interferograms of volcanoes and use machine learning methods to identify eruptions and periods of unrest. We then review the ways in which InSAR data are being used in different contexts. At frequently erupting basaltic systems in Iceland, Hawaiʻi, the Galápagos , and Piton de la Fournaise, InSAR has become an effective monitoring tool and is integrated with other datasets and models to forecast magma pathways. For large explosive eruptions, deformation measurements often remain challenging, but SAR backscatter is increasingly used to map damaging flows and measure the changing shape of ocean islands. Sentinel-1's long archive provides critical baseline measurements that are vital for measuring slow deformation, capturing new periods of unrest and providing fresh insights into subsurface dynamics. Understanding the drivers of deformation remains challenging and typically relies on integration with external datasets. Future European Space Agency missions have the potential to improve both resolution and coverage providing an even richer dataset to further enhance global volcano monitoring","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115377","usgsCitation":"Biggs, J., Anantrasirichai, N., Anderson, K.R., Cayol, V., Dualeh, E.W., Dumont, Q., Ebmeier, S.K., Froger, J.L., Gaddes, M., Galleto, F., Gonzales, P.J., Hamling, I., Hooper, A., Lazecky, M., Lizama, C.N., and Pritchard, M.E., 2026, Advances in volcano monitoring driven by the first decade of Sentinel-1 observations: Remote Sensing of Environment, v. 339, 115377, 23 p., https://doi.org/10.1016/j.rse.2026.115377.","productDescription":"115377, 23 p.","ipdsId":"IP-177252","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115377","text":"Publisher Index 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The report series is produced by the Corridor Mapping Team (CMT). Led by the U.S. Geological Survey, the CMT is a collaboration among 11 State agencies, as well as regional and Federal partners, and an expanding number of Tribal wildlife agencies. The CMT was initiated in response to the U.S. Department of the Interior Secretarial Order 3362, which was signed in 2018 and provided Federal support to expand existing research efforts to study ungulate populations and conserve their migrations throughout the Western United States. Including this volume, the report series has detailed the migrations of 237 unique ungulate herds throughout the Western United States and continues to serve as a valuable resource to guide local and regional management, policy, and on-the-ground work necessary to maintain intact and functional ungulate migrations. This report highlights several guiding principles of the CMT that facilitate collaboration among the diverse set of partners and contribute to the program’s continued successes. Notably, raw global positioning system data are not shared among participating agencies and the U.S. Geological Survey, delineating migration corridors and seasonal ranges relies on empirical data, the CMT provides flexible approaches to participating State and Tribal partners, and regular CMT meetings create a framework for open communication among agency partners that supports transboundary mapping of migrations. The 237 ungulate migrations that have been included in the report series are an expanding inventory, which can help maintain ungulate migrations in perpetuity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265123","usgsCitation":"Kauffman, M., Lowrey, B., McKee, J.L., Beaupre, C., Beck, J., Beckmann, J., Bergen, S., Berger, J., Berkley, R., Borg, N., Carl, P., Cowardin, M., Dewey, S., Dugger, K.M., Ehrhart, A., Fort, J., Freeman, E., Freeman, I., Gelzer, E.R., German, D., Gray, J., Greenspan, E., Gregory, Z., Hagler, E., Hanson, M., Hinojoza- Rood, V.D., Hnilicka, P., Jaffe, N., Jakes, A.F., Johnson, A., Kolek, J.T., Lawson, A., Lockyer, Z., Lutz, D., McKee, C., McKeever, J., Merkle, J., Mumma, M.A., Newman, D., Peckham, E., Randall, J.E., Regan, T., Reinking, A.K., Ritson, R., Rudd, W.J., Russo, B.M., Sawyer, H., Schroeder, C., Scurlock, B., Short, J., Stansberry, B., Steiner, E., Steingisser, A., Stephenson, T., VanNatta, E., Wallace, C.F., Weinmeister, B., Whittaker, D., Woody, T., and Yancey, S., 2026, Ungulate migrations of the Western United States, volume 6: U.S. 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\"}}]}","contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
Mail Stop 300
12201 Sunrise Valley Drive
Reston, VA 20192
Forest restoration in a watershed can provide numerous ecological improvements and social benefits, including reducing the risk of extreme wildfire. Understanding the values of the accrued benefits can be used to evaluate the use of funds to support restoration. The Rio Grande watershed is a vast watershed covering approximately 335,000 mile2 (867,646 km2). The Rio Grande watershed provides a host of ecosystem services and recreation opportunities and supports municipal water supplies. We estimate the non-market values of forest restoration in the Rio Grande watershed using a choice experiment (CE) approach. While the ecological benefits are established in literature, we focus on the social characteristics, capturing the human-forest system in a comprehensive manner. Our results indicate a significant willingness to pay (WTP) for improving air quality, reducing private property damage, and creating local jobs, with the highest WTP for job creation. Split-sample analysis indicates respondents residing within the watershed highly value the socio-economic attributes of the restoration, while ecological attributes are preferred more outside of the watershed. Our results provide insights into the benefits of multi-dimensional services from forest restoration activities in a watershed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.forpol.2026.103754","usgsCitation":"Rahman, M.M., Meldrum, J.R., Mueller, J.M., and Huber, C., 2026, Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.: Forest Policy and Economics, v. 186, 103754, 12 p., https://doi.org/10.1016/j.forpol.2026.103754.","productDescription":"103754, 12 p.","ipdsId":"IP-182648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forpol.2026.103754","text":"Publisher Index Page"},{"id":501641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.71673581103325,\n 35.09459922050081\n ],\n [\n -107.71673581103325,\n 32.69478018477595\n ],\n [\n -105.59302300959213,\n 32.69478018477595\n ],\n [\n -105.59302300959213,\n 35.09459922050081\n ],\n [\n -107.71673581103325,\n 35.09459922050081\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rahman, Mohammad Mashiur","contributorId":367933,"corporation":false,"usgs":false,"family":"Rahman","given":"Mohammad","middleInitial":"Mashiur","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Julie M.","contributorId":367934,"corporation":false,"usgs":false,"family":"Mueller","given":"Julie","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huber, Christopher","contributorId":363148,"corporation":false,"usgs":false,"family":"Huber","given":"Christopher","affiliations":[{"id":86628,"text":"NPS, formerly USGS","active":true,"usgs":false}],"preferred":false,"id":957915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274667,"text":"70274667 - 2026 - Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","interactions":[],"lastModifiedDate":"2026-04-03T15:20:30.598951","indexId":"70274667","displayToPublicDate":"2026-03-25T10:16:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","docAbstract":"Recent evidence of invasive grass carp (Ctenopharyngodon idella) reproducing in tributaries to the Laurentian Great Lakes has highlighted the need for control efforts targeting multiple life stages. Initial attempts to control dispersal of downstream-drifting invasive carp ichthyoplankton (i.e., eggs and larvae) using an oblique bubble screen (OBS) revealed that nearly neutrally buoyant grass carp eggs and larvae enter helical-like motions driven by the OBS, preventing aggregation within a single capture location. To improve dispersal control methods for such early-life stage carp, we used a laboratory flume to investigate the efficacy of a streamwise-oriented bubble screen to facilitate their near-bank capture. Five early-life stages of grass carp were tested: live water-hardened eggs, pre- and post-gas bladder inflation larvae, dead larvae, and dead eggs (preserved in formalin solution and later rehydrated). A range of mean channel velocities (0.23, 0.45, and 0.75 m/s) was tested for all drifters. Capture percentages increased with increasing airflow. Preserved eggs, for instance, showed capture percentages up to 95 %, 87 %, and 69 % at low, medium, and high water velocities for the highest airflow rate, respectively, in contrast with the lower than 5 % capture measured for zero airflow cases. Symmetric secondary flow structures on either side of the bubble screen induced helical trajectories of drifters and facilitated their capture in net-arrays along each wall. Velocity data were used to estimate helical recirculation timescales, enabling calculation of optimal bubble diffuser and net-array lengths for desired capture rates. This study provides useful guidance for the design of effective systems to control dispersal of downstream-drifting ichthyoplankton of invasive carp in streams.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102784","usgsCitation":"Prasad, V., Doyle, H.F., Suski, C., Jackson, P.R., George, A.E., Fischer, J.R., Stahlschmidt, B.H., Herndon, A.M., and Tinoco, R.O., 2026, Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102784.","ipdsId":"IP-176409","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Prasad, Vindhyawasini 0000-0003-0585-7217","orcid":"https://orcid.org/0000-0003-0585-7217","contributorId":296287,"corporation":false,"usgs":false,"family":"Prasad","given":"Vindhyawasini","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Henry F. 0000-0001-9942-8602","orcid":"https://orcid.org/0000-0001-9942-8602","contributorId":369222,"corporation":false,"usgs":false,"family":"Doyle","given":"Henry","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suski, Cory 0000-0001-8280-873X","orcid":"https://orcid.org/0000-0001-8280-873X","contributorId":364207,"corporation":false,"usgs":false,"family":"Suski","given":"Cory","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Jesse Robert 0000-0002-9071-7931","orcid":"https://orcid.org/0000-0002-9071-7931","contributorId":329677,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse","email":"","middleInitial":"Robert","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herndon, Anne Marie 0000-0002-7057-0303","orcid":"https://orcid.org/0000-0002-7057-0303","contributorId":332776,"corporation":false,"usgs":true,"family":"Herndon","given":"Anne","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tinoco, Rafael O.","contributorId":211779,"corporation":false,"usgs":false,"family":"Tinoco","given":"Rafael","email":"","middleInitial":"O.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":958638,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274334,"text":"70274334 - 2026 - Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2026-03-26T16:48:22.376032","indexId":"70274334","displayToPublicDate":"2026-03-25T09:41:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23625,"text":"International Journal of Coal Science & Technology","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","docAbstract":"United States heavy reliance on imports of critical minerals (CMs), including rare earth elements (REEs), underscores the importance of development of domestic sources. The study objective was to quantify CM and REE concentrations in coal and coal ash in the US Gulf Coast region. CM and REE concentrations were measured for 118 samples from outcrops and 14 mines in the Gulf Coast. Results show that total REE + Yttrium (REY) concentrations (dry coal basis) are comparable to those of the upper continental crust (UCC) with localized hot spots, such as the Texas Gibbons Creek mine (REY ≤ ~ 2860 ppm). When normalized to UCC REY concentration (169 ppm, dry coal basis), REY to UCC ratios for Gulf Coast coal samples range from 0.1 to 17 (median ratio 0.6). REE extractability from lignites is high (median: 63%–93%) using environmentally benign weak acid. In addition to raw coal, coal ash from power plants could also serve as an REE source with a median ratio of REY in ash relative to coal of 4; however, extractability from coal ash is generally much lower (≤ 5% using the same weak acid as in coal). The median basket price for extracted REY as oxides from coal, assuming 70% extractability, is $3.2 per tonne of coal and $186 billion based on 58 billion metric tonnes of dry coal in the Gulf Coast. REEs important for magnets (Pr + Nd + Tb + Dy) account for ~ 80% of the total value. The corresponding median basket price for extracted REY as oxides from coal ash, assuming ~ 30% extractability, is ~$4.4 per tonne of ash and $1.2 billion based on 258 million tonnes of ash. REE production from coal would likely require co-products, such as activated carbon or humic acids, to attain economic viability. Production of REEs from coal ash could offset remediation costs related to potential water contamination. This reconnaissance study shows the potential for REE production from coal and coal ash in the Gulf Coast; however, carbon coproducts and/or societal benefits would likely be required for socioeconomic viability.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s40789-026-00872-y","usgsCitation":"Scanlon, B.R., Reedy, R.C., Elliott, B.A., Hower, J.C., Kyle, J.R., Locmelis, M., Theaker, N., and Warwick, P., 2026, Rare earth element potential in coal and coal ash in the U.S. Gulf Coast: International Journal of Coal Science & Technology, v. 13, 28, 13 p., https://doi.org/10.1007/s40789-026-00872-y.","productDescription":"28, 13 p.","ipdsId":"IP-174374","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40789-026-00872-y","text":"Publisher Index Page"},{"id":501587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.95736263948356,\n 36.722990342806\n ],\n [\n -102.95736263948356,\n 27.809267728853044\n ],\n [\n -82.6890953748541,\n 27.809267728853044\n ],\n [\n -82.6890953748541,\n 36.722990342806\n ],\n [\n -102.95736263948356,\n 36.722990342806\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scanlon, Bridget R. 0000-0002-1234-4199","orcid":"https://orcid.org/0000-0002-1234-4199","contributorId":328586,"corporation":false,"usgs":false,"family":"Scanlon","given":"Bridget","email":"","middleInitial":"R.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C. 0009-0007-4810-7578","orcid":"https://orcid.org/0009-0007-4810-7578","contributorId":364779,"corporation":false,"usgs":false,"family":"Reedy","given":"Robert","middleInitial":"C.","affiliations":[{"id":86975,"text":"The Universality of Texas at Austin, Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":957933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Brent A. 0000-0003-4099-1657","orcid":"https://orcid.org/0000-0003-4099-1657","contributorId":367943,"corporation":false,"usgs":false,"family":"Elliott","given":"Brent","middleInitial":"A.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":215373,"corporation":false,"usgs":false,"family":"Hower","given":"James","middleInitial":"C.","affiliations":[{"id":39231,"text":"University of Kentucky Center for Applied Energy Research","active":true,"usgs":false}],"preferred":false,"id":957935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kyle, J. Richard 0000-0002-5319-8941","orcid":"https://orcid.org/0000-0002-5319-8941","contributorId":367946,"corporation":false,"usgs":false,"family":"Kyle","given":"J.","middleInitial":"Richard","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Locmelis, Marek 0000-0002-9328-0552","orcid":"https://orcid.org/0000-0002-9328-0552","contributorId":367947,"corporation":false,"usgs":false,"family":"Locmelis","given":"Marek","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theaker, Nolan 0000-0001-5194-2004","orcid":"https://orcid.org/0000-0001-5194-2004","contributorId":367948,"corporation":false,"usgs":false,"family":"Theaker","given":"Nolan","affiliations":[{"id":87651,"text":"University of North Dakota, Institute of Energy Studies, Grand Forks, ND, USA","active":true,"usgs":false}],"preferred":false,"id":957938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957939,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70274285,"text":"dr1218 - 2026 - Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 Data Summary","interactions":[],"lastModifiedDate":"2026-03-25T15:16:39.33281","indexId":"dr1218","displayToPublicDate":"2026-03-25T07:00:00","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":"1218","displayTitle":"Distribution and Abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 Data Summary","title":"Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino 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) at the Mojave River Dam study area near Hesperia, California, in 2025. Four vireo surveys were completed between April 23 and June 26, 2025, and three flycatcher surveys were completed between May 16 and June 26, 2025.
We detected two territorial male vireos, both of which were paired, and one transient vireo. No juvenile vireos were observed during surveys. Vireos were reported in two habitat types: riparian scrub dominated by narrowleaf willow (Salix exigua) or mule fat (Baccharis salicifolia) and willow-cottonwood dominated by red or arroyo willow (Salix laevigata or lasiolepis). One transient willow flycatcher of unknown subspecies was observed in willow-cottonwood habitat dominated by Fremont cottonwood (Populus fremontii).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1218","programNote":"Ecosystems Mission Area–Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2026, Distribution and abundance of Least Bell’s Vireos (Vireo bellii pusillus) and Southwestern Willow Flycatchers (Empidonax traillii extimus) at the Mojave River Dam, San Bernardino County, California—2025 data summary: U.S. Geological Survey Data Report 1218, 8 p., https://doi.org/10.3133/dr1218.","productDescription":"vi, 8 p.","numberOfPages":"8","onlineOnly":"Y","ipdsId":"IP-182721","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501431,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1218/images"},{"id":501430,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1218/dr1218.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1218 XML"},{"id":501429,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1218/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1218 HTML"},{"id":501428,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1218/dr1218.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1218 PDF"},{"id":501427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1218/coverthb.jpg"}],"country":"United States","state":"California","county":"San Bernardino County","otherGeospatial":"Mojave River Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.22193446568201,\n 34.372629231592285\n ],\n [\n -117.26951127201511,\n 34.372629231592285\n ],\n [\n -117.26951127201511,\n 34.32314904481471\n ],\n [\n -117.22193446568201,\n 34.32314904481471\n ],\n [\n -117.22193446568201,\n 34.372629231592285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Groundwater age offers important insight into recharge, storage, and contamination risk. Although models predict age changes can be driven by pumping and climate variability, direct observational evidence remains limited. Here, we analyzed paired environmental tracer suites (tritium, carbon-14, and tritiogenic helium-3) collected a decade apart from 268 wells across California to assess the prevalence of groundwater age transience. Travel-time distribution models and statistical tests indicated age transience at 29% of sites, occurring most often in agricultural regions, such as the San Joaquin Valley and Southern Coast Ranges, where large carbon-14 changes coincided with substantial nitrate and chloride shifts. Sites with tritiogenic helium-3 data showed more frequent age transience, underscoring the value of multi-tracer data sets. These results provide the first regional evidence of widespread groundwater age change and a method for detecting changing water balances with implications for groundwater sustainability and water quality.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL119794","usgsCitation":"Jurgens, B.C., and Levy, Z.F., 2026, Decadal shifts in groundwater age detected by environmental tracers across California, USA: Geophysical Research Letters, v. 53, no. 6, e2025GL119794, 12 p., https://doi.org/10.1029/2025GL119794.","productDescription":"e2025GL119794, 12 p.","ipdsId":"IP-151777","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl119794","text":"Publisher Index Page"},{"id":501458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Risk is thought to vary by contaminating fecal source, but specific associations with fecal source are unknown for most private wells in the United States. This study characterizes AGI risk in Grant, Iowa, and Lafayette counties in southwestern Wisconsin. AGI risk was assessed for 10 viral, bacterial, and protozoan pathogens detected in private wells using quantitative microbial risk assessment. Exposure assessment was based on sampling 138 private wells in the study area, and risk was associated with fecal source by microbial source tracking (MST). Median Monte Carlo estimates indicated 4450 AGI cases/year in the study area associated with drinking water from contaminated private wells (95% confidence interval: 90–37,990). Most annual cases were associated with detection of human MST markers, including median estimates of 2550 associated with only human markers and 880 with human and livestock MST markers detected together. Note that 50 AGI cases/year were associated with detection of only livestock markers, and nearly 1000 cases were estimated to occur in the absence of detectable MST markers. This study characterizes AGI risk for households served by private wells in southwestern Wisconsin. It illustrates that human fecal sources can predominate risk associated with drinking water from private wells, even in a rural region characterized by substantial agricultural activity. MST can characterize the relationship between risk and fecal source; contributions of fecal sources to risk cannot be assumed from land use.","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.70162","usgsCitation":"Burch, T., Stokdyk, J.P., Heffron, J., Opelt, S.A., and Firnstahl, A.D., 2026, Quantitative microbial risk assessment with microbial source tracking for enteric pathogens in southwest Wisconsin private wells: Journal of Environmental Quality, v. 55, no. 2, e70162, 14 p., https://doi.org/10.1002/jeq2.70162.","productDescription":"e70162, 14 p.","ipdsId":"IP-183588","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501682,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70162","text":"Publisher Index Page"},{"id":501473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"southwestern Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.20734382695724,\n 43.496849558166275\n ],\n [\n -91.20734382695724,\n 42.51846762737475\n ],\n [\n -89.84773226925358,\n 42.51846762737475\n ],\n [\n -89.84773226925358,\n 43.496849558166275\n ],\n [\n -91.20734382695724,\n 43.496849558166275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":957298,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957299,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heffron, Joe","contributorId":339799,"corporation":false,"usgs":false,"family":"Heffron","given":"Joe","email":"","affiliations":[],"preferred":false,"id":957300,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Opelt, Sarah A.","contributorId":300168,"corporation":false,"usgs":false,"family":"Opelt","given":"Sarah","middleInitial":"A.","affiliations":[],"preferred":false,"id":957301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957302,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274294,"text":"70274294 - 2026 - Net CO2 emissions from dry inland waters persist in the presence of vegetation","interactions":[],"lastModifiedDate":"2026-03-24T15:12:00.537","indexId":"70274294","displayToPublicDate":"2026-03-21T10:00:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Net CO2 emissions from dry inland waters persist in the presence of vegetation","title":"Net CO2 emissions from dry inland waters persist in the presence of vegetation","docAbstract":"Many inland waters are shrinking due to shifts in climate and water diversion for human uses. As they dry out, their exposed sediments emit large amounts of carbon dioxide (CO2) to the atmosphere. However, current global estimates of CO2 emissions from dry inland waters are derived exclusively from bare sediment dark-chamber measurements that do not account for the colonization of desiccated areas by vegetation. To understand the impact of vegetation on CO2 emissions from dry sediments, we analyzed 164 dry inland water bodies across five climatic regions and five inland water body types (lakes, ponds, reservoirs, streams and wetlands). On average, within vegetated zones, vegetation occupied 47 ± 35% in measured biomass quadrants. Light-induced decreases in instantaneous CO2 emissions in vegetated dry sediments were lower (mean ± SD = −3.7 ± 12.9 mmol CO2 m−2 hr−1) than increases during dark conditions (14.7 ± 20.1 mmol CO2 m−2 hr−1). Diel (24-hr) CO2 emissions from dry, vegetated sediments (mean ± SD = 100 ± 261 mmol CO2 m−2 d−1) were 25% lower than in bare sediments (133 ± 245 mmol CO2 m−2 d−1). These results indicate that vegetation can partially off-set sediment respiration, although the magnitude of this effect is insufficient to switch dry beds from net sources to net sinks of carbon.
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persist in the presence of vegetation: Global Biogeochemical Cycles, v. 40, no. 3, e2025GB008801, 17 p., https://doi.org/10.1029/2025GB008801.","productDescription":"e2025GB008801, 17 p.","ipdsId":"IP-180179","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":501672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gb008801","text":"Publisher Index Page"},{"id":501450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sharma, K.","contributorId":367754,"corporation":false,"usgs":false,"family":"Sharma","given":"K.","affiliations":[],"preferred":false,"id":957646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, 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The sulfates range in composition from barite to celestine and locally occur with sparse sulfide minerals. We investigate the origin of sulfur enrichment and the occurrence of sulfur-bearing minerals in the Mountain Pass carbonatite with in-situ sulfur isotope and mineral chemistry. Barite cores with δ34S of 1 to 3‰ do not coexist with sulfides, whereas celestine rims with δ34S of > 3‰ are associated with sulfides with δ34S < -10‰. We propose a model in which sulfur-bearing sediments were subducted during episodes of plate convergence in the Mojave Province that preceded Mountain Pass magmatism. Metasomatism of the overlying mantle by melts derived from the subducted sediments generated an unusually carbon- and sulfur-rich source to yield carbonatite magmas. Sulfur from primary carbonatite magmas and ~ 1 to 7% sulfur from subducted sediment melts yielded a slightly enriched δ34S composition (relative to depleted mantle δ34S of -1‰) for early crystallizing barite. Celestine rims on magmatic barite cores formed at low, hydrothermal temperatures (< 350 °C) based on S isotope thermometry for equilibrium celestine-galena and celestine-pyrite pairs. The sparse sulfides in the carbonatite stock are not in equilibrium with the primary barite cores and therefore do not permit S isotope thermometry estimates of magmatic temperatures. The S/Se ratios of sulfide minerals (> 3,400) typically exceed primitive mantle values (S/Se of 3,340), also consistent with their derivation from hydrothermal fluids. Trace occurrences of sulfide and sulfate minerals in alkaline silicate stocks related to the carbonatite stock have similar δ34S compositions and yield similarly low formation temperatures, suggesting regionally extensive and chemically similar sulfur-bearing hydrothermal fluids that imparted lithologically diverse rocks with a consistent sulfur isotope fingerprint.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-026-01438-3","usgsCitation":"Benson, E.K., Watts, K., Pribil, M.J., Thompson, J.M., and Lowers, H.A., 2026, Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals: Mineralium Deposita, 25 p., https://doi.org/10.1007/s00126-026-01438-3.","productDescription":"25 p.","ipdsId":"IP-179323","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-026-01438-3","text":"Publisher Index Page"},{"id":501457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.24550849872043,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 35.963211671328224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274251,"text":"sir20265126 - 2026 - Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","interactions":[],"lastModifiedDate":"2026-03-23T18:16:34.529968","indexId":"sir20265126","displayToPublicDate":"2026-03-20T12:25:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-5126","displayTitle":"Estimation of Impounded Sediment Volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","title":"Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington","docAbstract":"The Enloe Dam was built in 1920 for hydropower generation and impounds a steep-banked, narrow reach of the Similkameen River in north-central Washington. During the subsequent century, sediment from the Similkameen River watershed, which includes historical mining operations, accumulated within Enloe Dam’s impoundment. Enloe Dam ceased hydropower production in 1958 and is currently under consideration for removal, but there are concerns that the remobilization of sediments may have harmful impacts on downstream water quality. To complement previously published analyses of heavy metal concentrations within sediments and assess the total volume that may be transported following dam removal, this report presents estimates of the volume of sediment trapped behind Enloe Dam which was measured in 2020. The volume of sediment was estimated by comparing a bathymetric survey, collected using an acoustic Doppler continuous profiler, and a survey of the bedrock-sediment interface, collected using a continuous resistivity profiler.
The study area spanned a 2.6-kilometer reach of the Similkameen River upstream from Enloe Dam. The volume of impounded sediment was calculated in 2020 by subtracting the elevation of the bedrock-sediment interface measured using the continuous resistivity profiler from a bathymetric surface measured by the acoustic Doppler current profiler. In 2020, the estimated volume of sediment impounded by Enloe Dam was 2.17±0.04 million cubic meters (Mm3) compared to 1.37 Mm3 measured in 1971. This equates to a deposition rate of approximately 16,300 cubic meters per year from 1971 to 2020. Continuous resistivity profiles revealed that bedrock within Enloe Dam’s impoundment was deepest (about 20 m) in the southern, downstream end of the profiles and shallowest (less than 5 m) in the northern upstream end of the profiles.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265126","collaboration":"Prepared in cooperation with the Confederated Tribes of the Colville Reservation","usgsCitation":"Headman, A.O., Wilkerson, O.A., Curran, C.A., and Gendaszek, A.S., 2026, Estimation of impounded sediment volume in the Similkameen River upstream of Enloe Dam, Okanogan County, Washington: U.S. Geological Survey Scientific Investigations Report 2026–5126, 24 p., https://doi.org/10.3133/sir20265126.","productDescription":"Report: v, 24 p.; 2 Data Releases","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-144072","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501399,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119320.htm","linkFileType":{"id":5,"text":"html"}},{"id":501344,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NUBE8","text":"USGS data release","linkHelpText":"Continuous resistivity profiling (CRP) in the Similkameen River above Enloe Dam, Okanogan County, Washington"},{"id":501338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5126/coverthb.jpg"},{"id":501339,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.pdf","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5126 PDF"},{"id":501343,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VI2ZIX","text":"USGS data release","linkHelpText":"Sediment volume and bedrock of the Similkameen River above Enloe Dam near Oroville, Washington"},{"id":501340,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265126/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5126 HTML"},{"id":501341,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5126/sir20265126.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5126 XML"},{"id":501342,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5126/images/"}],"country":"United States","state":"Washington","county":"Okanogan County","otherGeospatial":"lower Similkameen River upstream from Enloe Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.52897239705791,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.95605821757019\n ],\n [\n -119.49191341839283,\n 48.98921327416954\n ],\n [\n -119.52897239705791,\n 48.98921327416954\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
Pervasive chemical weathering on stable cratons may form thick regoliths and elemental enrichment, but constraining the age of regolith formation is challenging. In this study we utilize multiple geochronological techniques on different minerals from the world-class Mount Weld rare earth element (REE) deposit, formed by lateritic weathering of a carbonatite, to constrain the age of formation and provide insight into landscape evolution. The oldest dates, ca. 100 to 38 Ma, are from Lu-Hf dating of churchite [HREE(PO4)·2(H2O)], a heavy REE phosphate mineral. Growth bands on individual minerals show a younging outwards. 40Ar/39Ar geochronology of cryptomelane [K(Mn4+,Mn2+)₈O₁₆] yielded dates from ca. 40 to 27 Ma. Similarly, (U-Th)/He geochronology of goethite [FeO(OH)] yielded dates ranging from ca. 45 to 19 Ma.
Integrating results into regional constraints, suggests 1) churchite formed by mineral saturation in a karst-like setting below the water table from ca. 100 to 40 Ma, 2) with minor uplift and erosion, cryptomelane and goethite formed at or near the water table between ca. 45 and 19 Ma, 3) after ca. 15 to 10 Ma chemical weathering within the profile had ended. Other studies document that the region experienced minimal uplift and a wet, warm climate from ca. 100 Ma to 15 Ma. These conditions and the high carbonate content of the carbonatite promote extensive chemical weathering, a deep weathering profile, and the preservation of the weathered section. This study highlights the use of multiple geochronological techniques utilizing different minerals to provide insight into how laterites form and to constrain the timing and history of the formation of this important mineral deposit.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2026.123326","usgsCitation":"Verplanck, P.L., Mercer, C.M., Thompson, J.M., Danišík, M., Lowers, H.A., Morgan, L.E., and Bhat, G., 2026, Utilization of multiple geochronology techniques to constrain the age of laterization and mineralization of the world-class Mount Weld rare earth element deposit, Western Australia: Chemical Geology, v. 709, 123326, 19 p., https://doi.org/10.1016/j.chemgeo.2026.123326.","productDescription":"123326, 19 p.","ipdsId":"IP-178073","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2026.123326","text":"Publisher Index Page"},{"id":501478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Western Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 113.32192697285603,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -35.16051771148953\n ],\n [\n 127.2170611077915,\n -18.55510584054609\n ],\n [\n 113.32192697285603,\n -18.55510584054609\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"709","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":957629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Danišík, Martin 0000-0003-3909-6102","orcid":"https://orcid.org/0000-0003-3909-6102","contributorId":361709,"corporation":false,"usgs":false,"family":"Danišík","given":"Martin","affiliations":[{"id":86336,"text":"Curtin University, Perth, Australia","active":true,"usgs":false}],"preferred":false,"id":957632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bhat, Ganesh","contributorId":329666,"corporation":false,"usgs":false,"family":"Bhat","given":"Ganesh","email":"","affiliations":[{"id":78683,"text":"Lynas Rare Earths Ltd","active":true,"usgs":false}],"preferred":false,"id":957635,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274282,"text":"70274282 - 2026 - Adaptive capacity of freshwater organisms in North America: Current understanding and future applications","interactions":[],"lastModifiedDate":"2026-03-24T14:51:37.697368","indexId":"70274282","displayToPublicDate":"2026-03-20T09:41:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23620,"text":"Global Change Biology Communications","active":true,"publicationSubtype":{"id":10}},"title":"Adaptive capacity of freshwater organisms in North America: Current understanding and future applications","docAbstract":"Freshwater species are increasingly threatened by climate change, yet our ability to assess their vulnerability remains incomplete. Typically, climate change vulnerability assessments (CCVAs) evaluate three components: exposure, sensitivity, and adaptive capacity. Adaptive capacity, defined as the ability of a species to adjust to changing conditions, provides critical insight into how species may persist under future scenarios and can strengthen conservation planning by highlighting opportunities for resilience and targeted management strategies. Trait-based approaches offer a promising path for managers to operationalize adaptive capacity by identifying measurable biological and ecological traits that influence climate change response strategies. However, these insights are rarely integrated into broader vulnerability frameworks that support conservation decision making. We build on previous research to synthesize current understanding of adaptive capacity for three freshwater taxa in North America: fishes, mussels, and crayfishes. Our objectives were to: (1) assess the relevance of adaptive capacity factors for fishes, mussels, and crayfishes; (2) identify key opportunities and gaps in linking trait-based information into adaptive capacity assessments; and (3) illustrate how incorporating adaptive capacity can enhance management decisions for freshwater species under climate change. We used an expert workshop, literature review, and case studies to identify relevant adaptive capacity factors, assess available information, and evaluate inclusion in management contexts. We found that all three taxa had sufficient information to inform adaptive capacity assessments. In addition to existing adaptive capacity factors, we identified Morphology as an important yet underutilized cross-cutting diagnostic category when information was limited. By explicitly linking trait-based approaches with adaptive capacity frameworks, we offer practical guidance for improving climate adaptation strategies and prioritizing management actions for freshwater biodiversity under accelerating global change.
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Southwestern Willow Flycatchers (Empidonax traillii extimus; flycatcher) along Bull Creek, Haskell Creek, and the Los Angeles River (Sepulveda Dam project area) in Los Angeles County, California, in 2025. Four vireo surveys were completed between April 16 and July 2, 2025, and three flycatcher surveys were completed between May 21 and July 2, 2025. We found 11 territorial male vireos, 4 of which were confirmed as paired, and 3 transient vireos. Of the 11 territorial vireos, 6 were detected along the Los Angeles River, 3 along Haskell Creek, and 2 along Bull Creek. Forty-three percent of vireos were detected in habitat characterized as mixed willow riparian, and most vireos were detected in habitat with greater than 50-percent native plant cover. No flycatchers were observed in the Sepulveda Dam project area in 2025.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1219","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Allen, L., 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 Sepulveda Dam Basin, Los Angeles County, California—2025 data summary: U.S. Geological Survey Data Report 1219, 7 p., https://doi.org/10.3133/dr1219.","productDescription":"vi, 7 p.","numberOfPages":"7","onlineOnly":"Y","ipdsId":"IP-183448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501299,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1219/coverthb.jpg"},{"id":501300,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1219 PDF"},{"id":501301,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1219/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1219 HTML"},{"id":501302,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1219/dr1219.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1219 XML"},{"id":501303,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1219/images"}],"country":"United States","state":"California","county":"Los Angeles County","otherGeospatial":"Sepulveda Dam Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.51999625652957,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.16368403373161\n ],\n [\n -118.46625895917532,\n 34.18688849159706\n ],\n [\n -118.51999625652957,\n 34.18688849159706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819