The City of Sioux Falls, South Dakota, requested the U.S. Geological Survey perform electrical resistivity surveys on three parcels of land north of the city. Electrical resistivity data were collected along a total of 22 transects during March 14–18, 2022, and November 17–21, 2025. Results from electrical resistivity surveys were used to delineate the top of glacial till deposits for the purpose of characterizing the Big Sioux aquifer near the city. Delineating geologic contacts provides important information on groundwater storage, flow dynamics, well design and placement, contaminant transport, groundwater–surface-water interactions, and regional water modeling. The top elevation of glacial till and the thickness of the Big Sioux aquifer varied among the three survey areas. The interpreted top elevation of glacial till in the North survey area decreases from east to west toward a slough, with elevations ranging from 1,403 to 1,418 feet (ft). The estimated thickness of the Big Sioux aquifer in the North survey area increased from east to west, with thicknesses ranging from 23 to 38 ft. The top elevation of glacial till in the Well 72 survey area generally decreases from northwest to southeast. Top elevations of the glacial till in the Well 72 survey area ranged from 1,400 to 1,409 ft along the southern end of transect W72_2. The estimated thickness of the Big Sioux aquifer in the Well 72 survey area was greatest along a southeast to northwest trending channel, with thicknesses ranging from 28 to 40 ft. The top elevation of glacial till in the Nose survey area generally decreases west toward the Big Sioux River. Top elevations of the glacial till in the Nose survey area ranged from 1,362 to 1,395 ft. The estimated thickness of the Big Sioux aquifer in the Nose survey area ranged from 33 to 70 ft.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265023","collaboration":"Prepared in cooperation with City of Sioux Falls, South Dakota","usgsCitation":"Medler, C.J., and Anderson, T.M., 2026, Top elevation of glacial till and thickness of the Big Sioux aquifer delineated from electrical resistivity tomography surveys near Sioux Falls, South Dakota, 2022 and 2025: U.S. Geological Survey Scientific Investigations Report 2026–5023, 29 p., https://doi.org/10.3133/sir20265023.","productDescription":"Report: vi, 29 p.; Data Release","numberOfPages":"29","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-183750","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504431,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119412.htm","linkFileType":{"id":5,"text":"html"}},{"id":504116,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5023 XML"},{"id":504120,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P18XCLZT","text":"USGS data release","linkHelpText":"Electrical resistivity tomography (ERT) data collected March 14–18 and November 17–21 north of Sioux Falls, South Dakota"},{"id":504119,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5023/images"},{"id":504115,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265023/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5023 HTML"},{"id":504113,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5023/sir20265023.pdf","text":"Report","size":"18.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5023"},{"id":504112,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5023/coverthb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Big Sioux Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.783333,\n 43.58\n ],\n [\n -96.683333,\n 43.58\n ],\n [\n -96.683333,\n 43.666667\n ],\n [\n -96.783333,\n 43.666667\n ],\n [\n -96.783333,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Dakota Water Science Center
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821 East Interstate Avenue
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1608 Mountain View Road
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We present Paleocene-Eocene calcareous nannofossil biostratigraphy and paleoecology for the Surprise Hill core, U.S. Atlantic Coastal Plain, Virginia. Calcareous nannofossil datums ranging from Zone NP3 to NP14 were identified. The Danian-aged Brightseat Formation rests unconformably atop the Lower Cretaceous Potomac Group at 211.4 m and disconformably underlies the Aquia Formation at 208.8 m. The absence of Zone NP7 suggests a hiatus is present in the Aquia Formation (Zones NP5 – NP9a). The contact between the Marlboro Clay and the overlying Nanjemoy Formation (Zones NP10 – NP14) at 189.5 m is truncated. The Paleocene-Eocene transition is marked by a shift from glauconitic sands of the Aquia Formation to pelitic muds of the Marlboro Clay at 202.7 m. A 3–3.5‰ negative δ13C excursion of benthic foraminifer and a thin dissolution interval (201.6–202.5 m) are recorded in the basal Marlboro Clay. Nannofossil response to the Paleocene-Eocene Thermal Maximum (PETM) include (1) a bloom in taxa with affinities for changing salinity conditions just prior to the PETM basin wide (Hornibrookina australis arca), (2) a decline in taxa with ecological affinities for cool, eutrophic waters (Chiasmolithus bidens) during PETM, (3) fluctuations in mesotrophic to eutrophic, opportunistic taxa (e.g., Neochiastozygus junctus) during PETM, (4) successive turnovers in species of Toweius spp. during core-PETM and its recovery. Our findings suggest that overall nannofossil assemblages in the southernmost portion of the Salisbury Embayment responded similarly to assemblages from South Dover Bridge, but had differing response to local changes in nearshore paleoecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2026.102579","usgsCitation":"Utsunomiya, M., Self-Trail, J., Kelly, D.C., Zhang, X., Gardner, K.F., and Zachos, J.C., 2026, Calcareous nannofossil assemblage changes in the Surprise Hill core and their implications for floral response to the Paleocene-Eocene Thermal Maximum across the Salisbury Embayment of Virginia, USA: Marine Micropaleontology, v. 204, 102579, 16 p., https://doi.org/10.1016/j.marmicro.2026.102579.","productDescription":"102579, 16 p.","ipdsId":"IP-177717","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":504528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Salisbury Embayment","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.08415155370504,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 39.13957782741775\n ],\n [\n -74.69851013944654,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 36.704250606489865\n ],\n [\n -78.08415155370504,\n 39.13957782741775\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"204","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Utsunomiya, Masayuki","contributorId":347801,"corporation":false,"usgs":false,"family":"Utsunomiya","given":"Masayuki","affiliations":[{"id":83252,"text":"Research Institute of Geology and Geoinformation, Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":961733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":961734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, D. Clay","contributorId":371372,"corporation":false,"usgs":false,"family":"Kelly","given":"D.","middleInitial":"Clay","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":961735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Xiaodong","contributorId":367741,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaodong","affiliations":[{"id":12460,"text":"The University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":961736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":961737,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zachos, James C.","contributorId":371373,"corporation":false,"usgs":false,"family":"Zachos","given":"James","middleInitial":"C.","affiliations":[],"preferred":false,"id":961738,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275712,"text":"70275712 - 2026 - Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants","interactions":[],"lastModifiedDate":"2026-05-13T14:33:57.943771","indexId":"70275712","displayToPublicDate":"2026-05-12T09:25:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants","docAbstract":"There is a growing need to improve and expand water quality monitoring approaches to more accurately track the sources, fate, and transport of multiple chemicals and pollutants holistically and quantify the effects of best management practices (BMPs) at the watershed scale. An overarching question raised by scientists, environmental managers, and the general public is: how far can water quality impacts from disturbances or benefits from watershed management and restoration propagate along stream and river flowpaths? Many studies using the classic watershed approach focus on analyzing changes in water quality over time at one or a few sampling stations, whereas theories such as the River Continuum Concept focus on predicting shifts in energy sources and biological communities along rivers but have not been directly applied to water quality. We propose to merge these concepts to create a Watershed Continuum Monitoring Approach (WCMA) that combines both spatial and temporal monitoring in order to better detect and quantify trends and transitions in multiple water quality indicators along flowpaths. Specifically, an array of multiple water quality indicators are analyzed at multiple downstream points along a watershed flowpath over time. These multiple water quality indicators are analyzed together for making comparisons to infer hydrological, biological, and geochemical processes controlling sources, transport, and attenuation of pollutants (e.g., analagous to stream tracer studies at the watershed scale). The WCMA leverages the natural expansion of watershed areas along a flowpath, which reflect transitions in land use, land cover, and environmental management across spatial and temporal dimensions for making direct comparisons across different stream reaches and spatial trend analysis. WCMA facilitates monitoring of multiple water quality indicators together, and identifcation of hot spots in sources and attenuation of pollutants or mixtures of pollutants. We illustrate practical applications of the WCMA to analyze water quality trends, transitions, and tradeoffs (i.e., a tradeoff occurs when one pollutant is reduced but another is directly or indirectly increased downstream). We explore case studies that quantify: (1) downstream reductions in concentrations of multiple pollutants along a stream flowing to a major drinking water source due to engineered and nature-based solutions, (2) downstream reductions in multiple pollutants and water quality tradeoffs along streams experiencing stormwater BMPs and stream restoration, (3) comparisons in downstream reductions of multiple pollutants and nutrient uptake along streams draining into major drinking water sources based on types of stream restoration, (4) comparisons of downstream pollutant reductions along streams experiencing riparian forest conservation vs. stream restoration, and (5) mapping and visualizing hot spots of increasing water quality problems such as hypoxia, contaminant mobilization, and freshwater salinization that extend downstream to tidal rivers of the Chesapeake Bay. We explore future applications of WCMA for tracking decreasing trends in salinity, E. coli, and other pollutants of emerging concern. WCMA can holistically inform progress towards achieving multiple water quality goals and also be used as a screening tool for selecting monitoring sites and targeting management in strategic locations. Overall, WCMA enables the simultaneous quantification and comparison of sources and transport and attenuation rates for different chemicals and pollutants across a broader range of watershed sizes and flowpath lengths, which is critical for understanding ecological, hydrological, geochemical, and biogeochemical processes along human-impacted streams and rivers.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2026.107971","usgsCitation":"Kaushal, S., Mon, A., Grant, S., Mayer, P.M., Porter, A.J., Sekellick, A.J., Chase, J., Bhide, S., Jastram, J.D., Newcomer-Johnson, T., Shelton, S.A., Yaculak, A.M., Malin, J.T., Maas, C.M., Salanitri, N., Silberstein, D.J., Hohman, S.P., Dann, A.B., Slaughter, W.M., Rippy, M.A., Monofy, A., Shatkay, R.R., Reimer, J.E., Seppi, M., Noel, R., Mussa, J., Kellmayer, B., Sivirichi, G., Grese, M., Boger, W.L., Chanat, J.G., Duan, S., and Belt, K.T., 2026, Watershed Continuum Monitoring Approach: Combining multiple water quality patterns along stream and river flowpaths to track sources, pathways, and processing of pollutants: Ecological Engineering, v. 229, 107971, 23 p., https://doi.org/10.1016/j.ecoleng.2026.107971.","productDescription":"107971, 23 p.","ipdsId":"IP-180496","costCenters":[{"id":37759,"text":"VA/WV Water Science 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0000-0002-4067-1541","orcid":"https://orcid.org/0000-0002-4067-1541","contributorId":371299,"corporation":false,"usgs":false,"family":"Belt","given":"Kenneth","middleInitial":"T.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":961510,"contributorType":{"id":1,"text":"Authors"},"rank":33}]}} ,{"id":70275726,"text":"70275726 - 2026 - Effects of wildfire on soil hydraulic properties in the western Oregon Cascades","interactions":[],"lastModifiedDate":"2026-05-14T13:32:52.060066","indexId":"70275726","displayToPublicDate":"2026-05-12T08:22:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Effects of wildfire on soil hydraulic properties in the western Oregon Cascades","docAbstract":"Wildfires can substantially impact the hydrology of forested watersheds, increasing the risk of hydrologic hazards such as flash floods and debris flows. Soil hydraulic properties related to infiltration are a key control in determining the timing and magnitude of these hydrogeomorphic events. In our study, we collected 445 soil cores from burned (216 cores) and unburned (229 cores) reference catchments and analyzed them for soil hydraulic properties 10 months after the 2022 Cedar Creek Fire in Oregon, USA. We observed significantly greater field-saturated hydraulic conductivity (Kfs), sorptivity (S), and wetting front potential (Ψf) in burned soils relative to unburned soils, with median ratios of 5.7, 4.4, and 5.0, respectively. Among low-, moderate-, and high burn severity groups, soil hydraulic properties were not statistically different. Reductions in median soil bulk density with increasing burn severity suggested an expansion of pore sizes, which may have been partially responsible for increasing Kfs and S. Additionally, in some burned soil samples, the increase in soil hydraulic properties may have been partially related to a concurrent reduction in “natural background” water repellency that is characteristic of dry, unburned soils in the Western Cascades. We observed no evidence of spatial autocorrelation in Kfs using semivariogram analysis. Principal component analysis paired with a k-means cluster analysis suggested that soil physical properties explained variations in soil hydraulic properties better than landscape attributes. Although there is a lack of regional results for comparison, our results trend in the opposite direction from drier, lower net primary productivity regions that are typically studied for post-wildfire soil hydraulic properties.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG009611","usgsCitation":"Pimont, C., Thaler, E.A., Ebel, B., and Bladon, K.D., 2026, Effects of wildfire on soil hydraulic properties in the western Oregon Cascades: JGR Biogeosciences, v. 131, no. 5, e2025JG009611, 20 p., https://doi.org/10.1029/2025JG009611.","productDescription":"e2025JG009611, 20 p.","ipdsId":"IP-184231","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504374,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025jg009611","text":"Publisher Index Page"},{"id":504323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"western Oregon Cascades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.3784,\n 43.8\n ],\n [\n -122.23,\n 43.8\n ],\n [\n -122.23,\n 43.62\n ],\n [\n -122.3784,\n 43.62\n ],\n [\n -122.3784,\n 43.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pimont, Cedric","contributorId":371321,"corporation":false,"usgs":false,"family":"Pimont","given":"Cedric","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thaler, Evan A.","contributorId":371322,"corporation":false,"usgs":false,"family":"Thaler","given":"Evan","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebel, Brian A. 0000-0002-5413-3963","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":211845,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bladon, Kevin D.","contributorId":371323,"corporation":false,"usgs":false,"family":"Bladon","given":"Kevin","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":961544,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275060,"text":"sir20265009 - 2026 - Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022","interactions":[],"lastModifiedDate":"2026-05-11T17:07:27.925508","indexId":"sir20265009","displayToPublicDate":"2026-05-11T11:05:55","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":"2026-5009","displayTitle":"Hydrogeologic Framework and Conceptual Groundwater-Flow Model of the Panhandle and Northwest Parts of the High Plains (Ogallala) Aquifer in Oklahoma, 1998–2022","title":"Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022","docAbstract":"This study was conducted by the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, to update the hydrogeologic framework and conceptual flow model for the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, which together compose the Ogallala aquifer focus area. The study included the construction of a potentiometric surface, and available geologic and hydrologic data were used to evaluate saturated thickness of the aquifer. The water budget for the updated conceptual groundwater-flow model was based on estimated inflows and outflows for the 1998–2022 study period.
Saturated thickness of the Ogallala aquifer averaged 127 and 116 feet for the panhandle and northwest parts, respectively. Groundwater withdrawals from the Ogallala aquifer for 1998–2022 averaged 422,054 and 39,645 acre-feet per year (acre-ft/yr) for the panhandle and northwest parts, respectively. Recharge, the primary inflow, was estimated at 0.63 inch per year for the 1998–2022 study period, with the panhandle part of the Ogallala aquifer receiving 175,068 acre-ft/yr and the northwest part of the Ogallala aquifer receiving 49,376 acre-ft/yr. Additional inflows included irrigation return flows, estimated at 8,111 and 642 acre-ft/yr for the panhandle and northwest parts, respectively, of the Ogallala aquifer. Net lateral groundwater flows, considered to be aquifer outflows, were estimated to account for 31,908 acre-ft/yr for the Ogallala aquifer focus area. Streambed seepage, which was an outflow of 5,535 acre-ft/yr, was only present in the northwest part of the Ogallala aquifer. Vertical leakage and saturated-zone evapotranspiration were considered negligible outflows. These findings provide a revised conceptual groundwater-flow model water budget for the Ogallala aquifer focus area in Oklahoma.
Compound flood events, the co-occurrence of multiple flood drivers, can result in flood hazard potential exceeding that of any single driver alone. To evaluate compound flooding in a semi-urbanized coastal area, historical records dating back to 1970 are used to study the co-occurrences of high precipitation, storm surge, and shallow groundwater conditions along the coastlines of New York and Connecticut. Joint return periods for coincident precipitation-surge events were computed using statistical dependence models and compared to the assumption of independence as a ratio, referred to here as a return period adjustment. Results indicate distinct seasonality where compound events in the area disproportionately occur in the cold season between October and April. Return period adjustments range from a factor of 1 to almost 9, demonstrating the range in precipitation-storm surge dependence across the study area. Across all 24 station triad locations, groundwater levels were elevated during times of precipitation- surge co-occurrence, reflecting the tendency for coastal storms and shallow groundwater conditions to co-occur seasonally. The result is a pseudo-trivariate compound flood hazard score and corresponding hazard map that integrates dependence between daily precipitation-surge events and overall monthly groundwater levels (as a precondition) into a relative compound hazard score. The location with the highest compound flood hazard score is on the south shore of Long Island, as well as locations across coastal Connecticut where groundwater levels compound the co-occurrence of heavy precipitation and storm surge.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-26-2169-2026","usgsCitation":"Glas, R.L., Herdman, L.M., Cook, S.E., Howlader, A., and Masterson, K., 2026, Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut: Natural Hazards and Earth System Sciences, v. 26, p. 2169-2188, https://doi.org/10.5194/nhess-26-2169-2026.","productDescription":"20 p.","startPage":"2169","endPage":"2188","ipdsId":"IP-180131","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":504268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.81060260994941,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 41.491420762682566\n ],\n [\n -73.98021540895226,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 40.53771152556905\n ],\n [\n -71.81060260994941,\n 41.491420762682566\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herdman, Liv M. 0000-0002-5444-6441 lherdman@usgs.gov","orcid":"https://orcid.org/0000-0002-5444-6441","contributorId":149964,"corporation":false,"usgs":true,"family":"Herdman","given":"Liv","email":"lherdman@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Salme Ellen 0000-0003-1129-6209","orcid":"https://orcid.org/0000-0003-1129-6209","contributorId":303775,"corporation":false,"usgs":true,"family":"Cook","given":"Salme","email":"","middleInitial":"Ellen","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howlader, Archi","contributorId":363192,"corporation":false,"usgs":false,"family":"Howlader","given":"Archi","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":951243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masterson, Kristina Kirkyla 0000-0001-7717-0751","orcid":"https://orcid.org/0000-0001-7717-0751","contributorId":357505,"corporation":false,"usgs":true,"family":"Masterson","given":"Kristina Kirkyla","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951244,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275753,"text":"70275753 - 2026 - Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen","interactions":[],"lastModifiedDate":"2026-05-18T15:50:01.253912","indexId":"70275753","displayToPublicDate":"2026-05-11T10:40:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen","docAbstract":"The first quantitative mineral resource assessment for undiscovered lithium pegmatite deposits in the southern Appalachian region of the United States was conducted. Permissive tracts for lithium pegmatite deposits were delineated by integrating lithological, tectonic, geochemical, geophysical and mineral occurrence data. Lithium pegmatite prospectivity of the tracts was ranked with simplified mappable criteria, including proximity to Paleozoic felsic intrusions and major lithotectonic structures, stream sediment geochemical anomalies, and pegmatite occurrence data. The geospatial data and permissive tracts were used to estimate the number of undiscovered lithium pegmatite deposits. These estimates were integrated into probabilistic simulations along with a new global lithium pegmatite grade and tonnage dataset to quantify potential contained undiscovered lithium resources. An economic filter was applied to convert the probabilistic estimates of contained lithium into recoverable material. The identified lithium pegmatite resources for the Carolina Lithium and Kings Mountain deposits, North Carolina, contain 1589 thousand tons (kt) of Li2O. The median contained undiscovered resource for the southern Appalachian orogen was estimated to be 2240 kt Li2O. At 90% confidence, the region contains at least 130 kt Li2O, and 10,700 kt at 10% confidence. After applying economic filters, the median recoverable contained resource was 1430 kt Li2O, corresponding to approximately 201 years of current lithium imports for consumption in the United States. North and South Carolina are likely to contain most of these resources. Coarse data resolution and intra-state variations in the geological data contribute to uncertainty of undiscovered lithium pegmatite resources. Continued efforts to harmonize disparate geospatial datasets with updated or new information can improve the accuracy and precision of estimated undiscovered lithium pegmatite resources in the study area and at broader scales.
","language":"English","publisher":"Springer","doi":"/10.1007/s11053-026-10689-w","usgsCitation":"Rosera, J.M., Crocker, K., Pianowski, L., Murchek, J., Wiens, A.M., Sanders, M.M., Evart, L., DeAngelo, J., Lederer, G.W., and Coyan, J.A., 2026, Quantitative mineral resource assessment of lithium pegmatite deposits in the southern Appalachian orogen: Natural Resources Research, https://doi.org//10.1007/s11053-026-10689-w.","ipdsId":"IP-173525","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":504647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-026-10689-w","text":"Publisher Index Page"},{"id":504483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Maryland, North Carolina, South Carolina, Virginia","otherGeospatial":"southern Appalachian orogen","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.0950383,\n 38.4437543\n ],\n [\n -75.7221382,\n 38.6381998\n ],\n [\n -75.7635716,\n 39.6663386\n ],\n [\n -77.5037717,\n 39.7619553\n ],\n [\n -78.1667051,\n 38.6705562\n ],\n [\n -79.3682719,\n 37.529411\n ],\n [\n -80.9427387,\n 37.3320007\n ],\n [\n -82.1443054,\n 36.2035478\n ],\n [\n -84.4231389,\n 34.8548403\n ],\n [\n -85.9561724,\n 33.449091\n ],\n [\n -87.4063392,\n 33.0332492\n ],\n [\n -85.4589723,\n 32.4057935\n ],\n [\n -82.6000721,\n 32.8941965\n ],\n [\n -81.232772,\n 32.4757285\n ],\n [\n -80.3626719,\n 32.5106757\n ],\n [\n -78.4981718,\n 33.8285365\n ],\n [\n -78.0009718,\n 33.8285365\n ],\n [\n -76.4679383,\n 34.8548403\n ],\n [\n -75.8878716,\n 35.565739\n ],\n [\n -76.1364716,\n 36.9024953\n ],\n [\n -76.177905,\n 38.2487836\n ],\n [\n -75.7221382,\n 38.6381998\n ],\n [\n -75.8050049,\n 38.7028981\n ],\n [\n -75.8464383,\n 38.6058287\n ],\n [\n -75.8464383,\n 38.6705562\n ],\n [\n -75.8050049,\n 38.6705562\n ],\n [\n -76.0950383,\n 38.4437543\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosera, Joshua Mark 0000-0003-3807-5000","orcid":"https://orcid.org/0000-0003-3807-5000","contributorId":270284,"corporation":false,"usgs":true,"family":"Rosera","given":"Joshua","email":"","middleInitial":"Mark","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":961644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crocker, Kelsey Elizabeth 0000-0002-5919-5274","orcid":"https://orcid.org/0000-0002-5919-5274","contributorId":298791,"corporation":false,"usgs":true,"family":"Crocker","given":"Kelsey Elizabeth","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pianowski, Laura 0000-0002-5346-8251","orcid":"https://orcid.org/0000-0002-5346-8251","contributorId":218817,"corporation":false,"usgs":true,"family":"Pianowski","given":"Laura","email":"","affiliations":[],"preferred":true,"id":961646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murchek, Jacob T. 0009-0006-1765-5646","orcid":"https://orcid.org/0009-0006-1765-5646","contributorId":343990,"corporation":false,"usgs":true,"family":"Murchek","given":"Jacob T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":961647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiens, Ashton M. 0000-0002-7030-0602","orcid":"https://orcid.org/0000-0002-7030-0602","contributorId":271176,"corporation":false,"usgs":true,"family":"Wiens","given":"Ashton","email":"","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sanders, Margaret M. 0000-0003-3505-874X","orcid":"https://orcid.org/0000-0003-3505-874X","contributorId":248709,"corporation":false,"usgs":true,"family":"Sanders","given":"Margaret","email":"","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":961649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Evart, Lucas Leonidus 0000-0002-3442-0922","orcid":"https://orcid.org/0000-0002-3442-0922","contributorId":302525,"corporation":false,"usgs":true,"family":"Evart","given":"Lucas Leonidus","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961650,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961651,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":961652,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961653,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276249,"text":"70276249 - 2026 - Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","interactions":[],"lastModifiedDate":"2026-05-20T14:57:35.282917","indexId":"70276249","displayToPublicDate":"2026-05-11T09:52:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","title":"Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area","docAbstract":"The life history of hard-shelled sea turtles includes several ontogenetic shifts in habitat use and these complex permanent emigration patterns can impact estimates of stage-specific population rates, including survival. We developed several multistate mark recapture models to estimate survival of adult and juvenile loggerhead turtles from a coastal bay in the northern Gulf of America (also commonly referred to as the Gulf of Mexico) while, in some cases, accounting for permanent emigration and transient individuals. Our mark-recapture dataset consisted of 228 individual turtles with 37 total recaptures from 2011 to 2024. Of the models we fit, those that incorporated emigration produced higher estimates for annual survival than models that did not, and higher estimates than what is commonly seen in the literature for loggerheads. All models suggested a major permanent emigration pulse at the typical size of sexual maturity (70 cm straight carapace length) and another major pulse at > 90 cm. This bimodal pattern of departure may reflect differences in size at sexual maturity among loggerheads, possible genetic variability within the assemblage, or both. To assess the models’ ability to effectively recover true parameter values, we developed a simulation study of 50 randomly generated independent data sets under our specified models of similar sample size to our study dataset. Simulation results suggested that models that accounted for permanent emigration and transient individuals produced relatively unbiased estimates of survival, while models that did not often underestimated survival rates. Mark-recapture studies that may exhibit emigration and suffer from low recapture rates would benefit from auxiliary data collection such as acoustic telemetry detections to better estimate true rates of emigration and survival. Obtaining unbiased estimates of true survival by accounting for processes like emigration can support effective conservation of endangered long-lived species like loggerheads.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00227-026-04842-5","usgsCitation":"Blommel, C.M., Lamont, M., and Kendall, W.L., 2026, Accounting for emigration reveals high survival and bimodal size at departure from a loggerhead sea turtle (Caretta caretta) foraging area: Marine Biology, v. 173, no. 6, 95, 15 p., https://doi.org/10.1007/s00227-026-04842-5.","productDescription":"95, 15 p.","ipdsId":"IP-182417","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504655,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-026-04842-5","text":"Publisher Index Page"},{"id":504575,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13E4PMT","text":"USGS data release","linkHelpText":"Mark recapture data for loggerhead sea turtles in St. Joseph Bay, FL from 2011-2024"},{"id":504551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"St. Joseph Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.47559331382445,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.90905541130931\n ],\n [\n -85.25446694849322,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.64361905224979\n ],\n [\n -85.47559331382445,\n 29.90905541130931\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"173","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Blommel, Caroline M. 0000-0002-1716-2706","orcid":"https://orcid.org/0000-0002-1716-2706","contributorId":371440,"corporation":false,"usgs":false,"family":"Blommel","given":"Caroline","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":961824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":206258,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":961826,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276263,"text":"70276263 - 2026 - Tropicalization of the temperate zone: Spatiotemporal variability of winter warming and declining freeze days across the United States","interactions":[],"lastModifiedDate":"2026-05-21T14:35:32.399684","indexId":"70276263","displayToPublicDate":"2026-05-11T09:30:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2032,"text":"International Journal of Climatology","active":true,"publicationSubtype":{"id":10}},"title":"Tropicalization of the temperate zone: Spatiotemporal variability of winter warming and declining freeze days across the United States","docAbstract":"We investigate changes in cool-season and winter daily minimum (Tmin) and maximum (Tmax) temperatures, and the occurrence of freeze days, from 1952 to 2024 across the conterminous United States (CONUS). Emphasis is placed on the tropical-temperate transition zone (TTTz) in the southeastern CONUS. During winter, ~70% of the land area exhibited Tmin warming rates exceeding those of Tmax. The countywide coldest Tmin became milder across 57% of the CONUS, while the coldest Tmax showed little change and even cooled east of the Rocky Mountains in the central CONUS. Across the TTTz, 75% of freeze days occur within a ~25–100-day window, often fewer than 75 days in the southernmost areas. Approximately 80% of counties exhibited significant contractions in freeze-day concentration, with the largest and most spatially consistent changes occurring in the Southeast, primarily driven by later start dates. Roughly 85% of the CONUS experienced a significant decline in freeze days, with the largest relative declines in regions where average winter Tmin is above freezing, while parts of the Pacific Northwest showed no significant change. An analysis of freeze day isopleths (30, 45, 60 and 75 days) across 20-year periods showed that the mean latitude of freeze days has migrated poleward substantially. Between 101° W and 79° W in the TTTz, the 30 freeze-day isopleth for the late period (2005–2024) was, on average, 122 km (~1.1° latitude) farther north than in the early period (1952–1971). Generally, the largest latitudinal shifts and percentage losses in freeze days occurred across low-elevation, low-relief regions at lower latitudes (e.g., the Mississippi River Valley), with abrupt shifts occurring near topographic gradients. Regions with sharp elevational gradients (e.g., Balcones Escarpment, Ouachita Mountains and Tennessee Valley) exhibited smaller temporal changes, likely reflecting the barrier-like influence of higher terrain on the poleward retreat of freeze days.
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University","active":true,"usgs":false}],"preferred":false,"id":961859,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeFee, Buren B.","contributorId":371461,"corporation":false,"usgs":false,"family":"DeFee","given":"Buren","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":961860,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219650,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961861,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keim, Barry D.","contributorId":371467,"corporation":false,"usgs":false,"family":"Keim","given":"Barry","middleInitial":"D.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":961862,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275735,"text":"70275735 - 2026 - Variability and consistency in wildfire susceptibility: Insights from a national compilation","interactions":[],"lastModifiedDate":"2026-05-15T13:16:54.003888","indexId":"70275735","displayToPublicDate":"2026-05-11T09:19:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2083,"text":"International Journal of Wildland Fire","active":true,"publicationSubtype":{"id":10}},"title":"Variability and consistency in wildfire susceptibility: Insights from a national compilation","docAbstract":"Wildfire risk in the United States is rising and remains a land management priority. The quantitative wildfire risk assessment (QWRA) framework integrates fuels, topography, weather and values at risk to estimate the potential change in value from wildfire. Within this, response functions (RFs) represent how values respond to fire intensity. These are often based on expert judgment, but variation across assessments is unclear.
This study uses data from the US Geological Survey (USGS) Wildfire Hazard and Risk Assessment Clearinghouse to characterize consistency and variation across categories and contexts.
We applied descriptive statistics to summarize RFs, using tables, box-and-whisker plots and heat maps stratified by highly valued resource or asset (HVRA) category and spatial scale.
RFs and value definitions vary, especially for ecosystem-related resources. Some functions, such as for buildings in the wildland–urban interface (WUI), translate well across contexts, while others require more input.
Some functions are broadly transferable, while others need customization. This analysis provides references and starting points for improvement to RFs in QWRAs.
Expanding the clearinghouse and dataset and building more transparency in expert elicitation can build trust among communities, agencies and end-users, and can support efficient use of limited resources to mitigate wildfire risk.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF25219","usgsCitation":"Russell, A., Bair, L., Meldrum, J.R., and Hawbaker, T., 2026, Variability and consistency in wildfire susceptibility: Insights from a national compilation: International Journal of Wildland Fire, v. 35, no. 5, WF25219, 14 p., https://doi.org/10.1071/WF25219.","productDescription":"WF25219, 14 p.","ipdsId":"IP-182497","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504330,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504378,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/wf25219","text":"Publisher Index Page"}],"country":"United States","volume":"35","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Aaron Daniel 0000-0003-3980-827X","orcid":"https://orcid.org/0000-0003-3980-827X","contributorId":355854,"corporation":false,"usgs":true,"family":"Russell","given":"Aaron Daniel","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":961576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":222615,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":961577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275703,"text":"70275703 - 2026 - Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation","interactions":[],"lastModifiedDate":"2026-05-13T14:23:56.148281","indexId":"70275703","displayToPublicDate":"2026-05-11T09:18:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation","docAbstract":"Different rates of floodplain forest recruitment and mortality can reveal important changes in ecosystem processes that drive forest dynamics, resulting in net changes in forest cover, thereby influencing a wide range of river habitat and morphological characteristics.
We evaluated characteristics of forest change areas in the Upper Mississippi River System.
An overlay technique was used to map patches of forest loss, gain, and persistence between 2010 and 2020 in relation to a series of explanatory variables.
We quantified a net decline in forest cover ranging from 3.2 to 16.8% in the uppermost five study reaches, and a net increase in forest cover ranging from 0.5 to 4.6% in the southernmost three reaches. Patches of forest loss and persistence were similarly tall (> 15 m), dense (> 90% cover), silver maple (Acer saccharinum) dominated forests, whereas forest gain patches were short (< 15 m), less dense (< 66% cover) and more likely to be dominated by willow (Salix) species. Both forest loss and gain patches were smaller than forest persistence patches and were typically found in areas with low neighborhood forest density (< 50% forested 10 ha neighborhood). Areas that experienced more than three flood events per growing season, more than 100 consecutive days of inundation during a single flood event, and more than 60 mean total days of inundation per growing season from 2011 to 2020 showed a net loss of forest cover in all study reaches. In contrast, net increases in forest cover were restricted to areas that experienced less than a single flood event per growing season, less than 40 consecutive days of inundation during a single flood event and less than 30 mean total days of inundation per growing season from 2011 to 2020.
Forest mortality along these river reaches is associated with forest fragmentation and an increasingly wetter hydrological regime.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-025-02286-8","usgsCitation":"De Jager, N.R., Rohweder, J.J., Van Appledorn, M., Weiss, S.A., Trumper, M., and Guyon, L.J., 2026, Patterns of floodplain forest mortality and recruitment along the Upper Mississippi and Illinois Rivers: Associations with forest fragmentation and flood inundation: Landscape Ecology, v. 41, 90, 25 p., https://doi.org/10.1007/s10980-025-02286-8.","productDescription":"90, 25 p.","ipdsId":"IP-180163","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-025-02286-8","text":"Publisher Index Page"},{"id":504300,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Upper Mississippi and Illinois Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 46\n ],\n [\n -86,\n 46\n ],\n [\n -86,\n 36.633102878335635\n ],\n [\n -96,\n 36.633102878335635\n ],\n [\n -96,\n 46\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weiss, Shelby A.","contributorId":368922,"corporation":false,"usgs":false,"family":"Weiss","given":"Shelby","middleInitial":"A.","affiliations":[{"id":55549,"text":"National Great Rivers Research and Education Center","active":true,"usgs":false}],"preferred":false,"id":961445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trumper, Matthew","contributorId":369810,"corporation":false,"usgs":false,"family":"Trumper","given":"Matthew","affiliations":[{"id":87852,"text":"Former Upper Midwest Environmental Sciences Employee","active":true,"usgs":false}],"preferred":false,"id":961446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guyon, Lyle J.","contributorId":215690,"corporation":false,"usgs":false,"family":"Guyon","given":"Lyle","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":961447,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275733,"text":"70275733 - 2026 - Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence","interactions":[],"lastModifiedDate":"2026-05-14T14:18:15.916408","indexId":"70275733","displayToPublicDate":"2026-05-11T09:08:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence","docAbstract":"Prior work suggests that high‐frequency seismic attenuation acts as a highly sensitive proxy for crustal permeability and fluid mobility in fractured media. We test the hypothesis that the fault system responsible for the 2016–2017 Amatrice–Visso–Norcia–Capitignano sequence acted as an impermeable seal, compartmentalizing pressurized fluids until dynamic rupture triggered widespread fluid diffusion. By tracking across the sequence the spatiotemporal evolution of the S‐wave anelastic attenuation parameter, we identify large, positive low‐frequency attenuation anomalies emerging within the hanging wall following the Amatrice mainshock and strictly preceding subsequent large ruptures. Conversely, we observe weaker, negative anomalies in the footwall, anticorrelated in time with those of the hanging wall, revealing a massive asymmetry in fluid redistribution and permeability evolution across the fault system. Furthermore, aftershock migration rates reveal distinct linear alignments in a distance‐reduced time space, allowing us to explicitly track and quantify episodes of lateral and upward fluid migration. These physically consistent patterns suggest that stress‐driven fluid diffusion directly weakens adjacent fault patches, dictating the spatiotemporal migration of seismicity. We conclude that near‐real‐time monitoring of seismic attenuation may help detect fluid redistribution in active fault systems and may provide useful information for time‐dependent seismic hazard assessment.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250262","collaboration":"National Institute of Geophysics and Volcanology (INGV), UC Berkeley","usgsCitation":"Malagnini, L., Lucente, F.P., Munafo, I., Dreger, D.S., Parsons, T.E., and Burgmann, R., 2026, Temporal and spatial changes in seismic attenuation associated with inferred fluid migration in the 2016 central Apennines earthquake sequence: Bulletin of the Seismological Society of America, https://doi.org/10.1785/0120250262.","ipdsId":"IP-187298","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"central Apennines","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 12.5,\n 43.333\n ],\n [\n 13.75,\n 43.333\n ],\n [\n 13.75,\n 42.333\n ],\n [\n 12.5,\n 42.333\n ],\n [\n 12.5,\n 43.333\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucente, Francesco Pio","contributorId":371339,"corporation":false,"usgs":false,"family":"Lucente","given":"Francesco","middleInitial":"Pio","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munafo, Irene","contributorId":294359,"corporation":false,"usgs":false,"family":"Munafo","given":"Irene","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":961570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreger, Douglas S.","contributorId":371340,"corporation":false,"usgs":false,"family":"Dreger","given":"Douglas","middleInitial":"S.","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":961571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":961573,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70276266,"text":"70276266 - 2026 - Publisher correction: Strong nickel enrichment co-located with redox-organic interactions in Neretva Vallis, Mars","interactions":[],"lastModifiedDate":"2026-05-21T14:13:43.638089","indexId":"70276266","displayToPublicDate":"2026-05-11T09:05:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Publisher correction: Strong nickel enrichment co-located with redox-organic interactions in Neretva Vallis, Mars","docAbstract":"Correction to: Nature Communications https://doi.org/10.1038/s41467-026-70081-3, published online 31 March 2026
","language":"English","publisher":"Nature","doi":"10.1038/s41467-026-72826-6","usgsCitation":"Manelski, H.T., Wiens, R.C., Broz, A., Hurowitz, J.A., Tice, M., Clegg, S.M., Dehouck, E., Randazzo, N., Connell, S.A., Forni, O., VanBommel, S.J., Scrhoder, S., Mandon, L., Gabriel, T.S., Bedford, C., Martinez, R.K., Cloutis, E.A., Cousin, A., and Cable, M.L., 2026, Publisher correction: Strong nickel enrichment co-located with redox-organic interactions in Neretva Vallis, Mars: Nature Communications, v. 17, 4226, 2 p., https://doi.org/10.1038/s41467-026-72826-6.","productDescription":"4226, 2 p.","ipdsId":"IP-182251","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":504658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-72826-6","text":"Publisher Index Page"},{"id":504594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars, Neretva Vallis","volume":"17","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Manelski, H. T.","contributorId":346189,"corporation":false,"usgs":false,"family":"Manelski","given":"H.","middleInitial":"T.","affiliations":[{"id":82793,"text":"Purdue University Earth, Atmospheric and Planetary Sciences department, West Lafayette, IN, USA","active":true,"usgs":false}],"preferred":false,"id":961863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiens, R. 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A.","contributorId":296799,"corporation":false,"usgs":false,"family":"Hurowitz","given":"J.","middleInitial":"A.","affiliations":[{"id":13036,"text":"Department of Geosciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":961866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tice, M.","contributorId":371469,"corporation":false,"usgs":false,"family":"Tice","given":"M.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":961867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clegg, S. 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A.","contributorId":371472,"corporation":false,"usgs":false,"family":"Connell","given":"S.","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":961871,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Forni, O.","contributorId":290037,"corporation":false,"usgs":false,"family":"Forni","given":"O.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":961872,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"VanBommel, S. J.","contributorId":371473,"corporation":false,"usgs":false,"family":"VanBommel","given":"S.","middleInitial":"J.","affiliations":[{"id":88153,"text":"Washington University St Louis","active":true,"usgs":false}],"preferred":false,"id":961873,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scrhoder, S.","contributorId":371474,"corporation":false,"usgs":false,"family":"Scrhoder","given":"S.","affiliations":[{"id":88154,"text":"DLR Institute of Space Research","active":true,"usgs":false}],"preferred":false,"id":961874,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mandon, L.","contributorId":290096,"corporation":false,"usgs":false,"family":"Mandon","given":"L.","affiliations":[{"id":62337,"text":"LESIA, Observatoire de Paris, Université PSL, Sorbonne Université, Université de Paris","active":true,"usgs":false}],"preferred":false,"id":961875,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":961876,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bedford, C.","contributorId":200396,"corporation":false,"usgs":false,"family":"Bedford","given":"C.","email":"","affiliations":[],"preferred":false,"id":961877,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Martinez, R. K.","contributorId":371479,"corporation":false,"usgs":false,"family":"Martinez","given":"R.","middleInitial":"K.","affiliations":[{"id":48588,"text":"Los Alamos National Lab","active":true,"usgs":false}],"preferred":false,"id":961878,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Cloutis, E. A.","contributorId":296843,"corporation":false,"usgs":false,"family":"Cloutis","given":"E.","middleInitial":"A.","affiliations":[{"id":64210,"text":"C-TAPE, University of Winnipeg","active":true,"usgs":false}],"preferred":false,"id":961879,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Cousin, A.","contributorId":290035,"corporation":false,"usgs":false,"family":"Cousin","given":"A.","affiliations":[{"id":62314,"text":"Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":961880,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Cable, M. L.","contributorId":371480,"corporation":false,"usgs":false,"family":"Cable","given":"M.","middleInitial":"L.","affiliations":[{"id":27365,"text":"NASA Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961881,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70275694,"text":"70275694 - 2026 - Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","interactions":[],"lastModifiedDate":"2026-05-12T13:47:57.040645","indexId":"70275694","displayToPublicDate":"2026-05-11T08:46:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers","docAbstract":"Information on river velocities enhances understanding flood hazards, evaluating habitat conditions, and predicting the transport of floating materials. In this follow-up study, we used data from two new sites, one with a more complex morphology and the other with a lower suspended sediment concentration, to provide further evidence that Moving Aircraft River Velocimetry (MARV) can yield accurate velocity estimates ( R2 up to 0.87 when compared to field measurements) for long segments of large, turbid rivers. The MARV workflow is packaged in freely available software and is robust to implementation details; neither buffering to mitigate edge effects nor a new approach to aggregating velocity vectors improved performance. MARV was not sensitive to parameters used to establish overlapping image sequences, but combining a long window with a short jump between consecutive windows was the optimal configuration. Although accuracy varied from one cross section to the next, agreement between remotely sensed velocities and those measured in the field was independent of position within a frame range. As an initial step toward application of the approach to help address practical problems, we showed how MARV can drive particle tracking models. Our first-order simulations suggest that channel morphology and flow velocity are the primary controls on travel time and particle fate, with diffusive processes playing a lesser role. Although MARV can be used to characterize an instantaneous flow field, a more comprehensive framework that accounts for other physical processes would be required to model specific types of events like oil spills.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR043181","usgsCitation":"Legleiter, C.J., Kinzel, P.J., Laker, M., and Conaway, J., 2026, Refinement of a framework for Moving Aircraft River Velocimetry (MARV) and application to particle tracking along Alaskan rivers: Water Resources Research, v. 62, no. 5, e2025WR043181, 36 p., https://doi.org/10.1029/2025WR043181.","productDescription":"e2025WR043181, 36 p.","ipdsId":"IP-184216","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":504369,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr043181","text":"Publisher Index Page"},{"id":504278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River, Yukon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -149.75570313334435,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.91143177654979\n ],\n [\n -149.47674302069896,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.84208480633984\n ],\n [\n -149.75570313334435,\n 65.91143177654979\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -145.77263488160432,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.18041091114998\n ],\n [\n -145.87601297288305,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.1422606892462\n ],\n [\n -145.77263488160432,\n 64.18041091114998\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":961428,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":961429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laker, Mark","contributorId":298315,"corporation":false,"usgs":false,"family":"Laker","given":"Mark","email":"","affiliations":[{"id":64530,"text":"U.S. Fish and Wildlife Service, Kenai National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":961430,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961431,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","interactions":[{"subject":{"id":70275001,"text":"70275001 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","indexId":"70275001","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire"},"predicate":"SUPERSEDED_BY","object":{"id":70275642,"text":"sir20265008 - 2026 - Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","indexId":"sir20265008","publicationYear":"2026","noYear":false,"title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire"},"id":1}],"lastModifiedDate":"2026-05-11T20:03:08.256856","indexId":"sir20265008","displayToPublicDate":"2026-05-11T08:11:01","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":"2026-5008","displayTitle":"Simulation of Groundwater Flow To Evaluate Hydrogeologic Controls on a PFAS Plume, Coakley Landfill Superfund Site, Rockingham County, New Hampshire","title":"Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire","docAbstract":"Per- and polyfluoroalkyl substances (PFAS), including perfluorooctanoic acid (PFOA) and perfluorooctanesulfonic acid (PFOS), have been detected at combined concentrations above 2,000 nanograms per liter (ng/L) at groundwater seep locations near the Coakley Landfill Superfund site, in North Hampton, New Hampshire. The landfill was active from 1972 to 1985. An impermeable cap was placed on the landfill in 1998. The adjacent area to the Coakley Landfill has many water supply wells, and transport of PFAS compounds to the wells is a concern. Fracture anisotropy in the underlying bedrock aquifer complicates the understanding of PFAS transport because groundwater preferentially travels along fractures that may not align with the prevailing groundwater flow direction.
In 2018, the U.S. Environmental Protection Agency and the U.S. Geological Survey began an investigation of the groundwater flow from the Coakley Landfill site. This report describes the modification of a numerical groundwater-flow model for the local area around the Coakley Landfill and summarizes findings of the investigation. In addition, this report includes a brief description of PFOA and PFOS occurrence, a discussion of model construction, evaluation of model performance through calibration, and discussion of simulation results for two periods (before and after capping). Limitations are also discussed.
Results show that simulated groundwater flow moves from the Coakley Landfill to the west and north. Advective transport modeling using particle tracking shows that groundwater from the landfill discharges primarily to streams to the west and north, and a small amount is transported to distal wells. Dilution of contaminants through advection and dispersion likely plays a role in whether PFAS compounds from the landfill will be detected above laboratory reporting levels at distal wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265008","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Harte, P.T., and Collins, A.L., 2026, Simulation of groundwater flow to evaluate hydrogeologic controls on a PFAS plume, Coakley Landfill Superfund site, Rockingham County, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2026–5008, 41 p., https://doi.org/10.3133/sir20265008. [Supersedes preprint https://doi.org/10.31223/X53761.]","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-107565","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":504037,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20085222","text":"Scientific Investigations Report 2008–5222","linkHelpText":"- Assessment of ground-water resources in the Seacoast region of New Hampshire"},{"id":504036,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14LJKCX","text":"USGS data release","linkHelpText":"MODFLOW-NWT and MODPATH6 files used for groundwater-flow simulation and pathline analyses in the vicinity of the Coakley Landfill Superfund site, Rockingham County, New Hampshire"},{"id":504274,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119411.htm","linkFileType":{"id":5,"text":"html"}},{"id":504035,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5008/images"},{"id":504258,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P909PUIP","text":"USGS data release","linkHelpText":"- MODFLOW-NWT upgrade and preliminary-assessment of a groundwater-flow model of the seacoast bedrock aquifer, New Hampshire"},{"id":504034,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.XML","description":"SIR 2026-5008 XML"},{"id":504033,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265008/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5008 HTML"},{"id":504032,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5008/coverthb.jpg"},{"id":504031,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5008/sir20265008.pdf","text":"Report","size":"12.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5008 PDF"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Coakley Landfill Superfund Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.6749026,\n 43.0695834\n ],\n [\n -70.879635,\n 43.166483\n ],\n [\n -71.0413642,\n 42.8390034\n ],\n [\n -70.7936287,\n 42.8136348\n ],\n [\n -70.6749026,\n 43.0695834\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532
A class of chemicals called per- and polyfluoroalkyl substances (PFAS) has been seeping from the Coakley Landfill in southeastern New Hampshire to the local groundwater. The movement of the groundwater is complex because of the local geology, and more information is needed about where PFAS goes after it comes out of the landfill. The U.S. Geological Survey worked with the U.S. Environmental Protection Agency to understand more about how PFAS move from the landfill through the local groundwater and why concentrations are higher in some places than in others. A computer groundwater model of the Coakley Landfill area was developed based on an older groundwater model for southeast New Hampshire, and the new model was used to explore how soil, bedrock, rain or snowmelt infiltration, and bedrock fractures affect the speed and direction of groundwater flow. The new model was refined using recently collected data from the bedrock aquifer, where the greatest contamination from the Coakley Landfill has been detected. A modeling technique called particle tracking was used to estimate where groundwater travels from the landfill. The model shows that groundwater flows primarily to the west, north, and northeast from the landfill, likely following bedrock fractures. Some groundwater flow paths originating at the landfill eventually come to the surface in streams, up to about 3 miles away from the landfill. These flow paths predicted by the model may explain why there have been PFAS detections in wells relatively far from the landfill. However, predicted groundwater flow paths do not account for some factors that could reduce the total travel distance of contaminants, like dilution, mixing, and adsorption. Model results show that an impermeable cap placed on the landfill in 1998 reduces the amount of rain and snowmelt that flow into the landfill.
","publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Harte, Philip T. 0000-0002-7718-1204","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":217273,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961281,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275789,"text":"70275789 - 2026 - Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","interactions":[],"lastModifiedDate":"2026-05-19T13:56:31.436489","indexId":"70275789","displayToPublicDate":"2026-05-08T08:50:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement","docAbstract":"Rapid global acceleration in the construction of physical barriers along international borders has greatly influenced biodiversity and animal movement. Physical barriers can fragment landscapes, hinder access to essential resources, impact long-distance migrations, and inhibit dispersal and gene flow. The effects of physical barriers on animal movement and landscape connectivity can be exacerbated in dryland environments where access to water is a limiting factor. In recent decades, the construction of border barrier infrastructure has accelerated along the international boundary between the United States and Mexico. Here, we used a landscape connectivity model to investigate the effects of barriers on wildlife access to the river in the Lower Rio Grande Valley. We used a modified omnidirectional connectivity model to compare access to the river for three large, terrestrial mammal species across three border barrier scenarios: (1) a landscape without border barriers; (2) a landscape with the existing barrier system; and (3) a potential future landscape with a continuous barrier system. The existing barrier system includes many discrete sections of barrier within tracts of the Lower Rio Grande Valley National Wildlife Refuge or on lands associated with the region's flood control system. Our results indicate that the existing border barriers can impede connectivity and wildlife access to the river in some areas, while some existing gaps between border barrier sections can serve as conduits for wildlife movement and river access. Our future scenario results show how a potential continuous border barrier system could further impede wildlife access to the river. We discuss management and landscape conservation options for enhancing wildlife access to water and riverine habitats. Collectively, our results illustrate the potential effects of border barriers on wildlife movement and access to water, providing information that can be used to better anticipate and lessen the ecological impacts of transboundary barriers.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70888","usgsCitation":"Chivoiu, B., Koen, E.L., Osland, M., Gabler, C.A., Garrett, J.T., Reyes, E., Bilodeau, S.A., Sternberg, M.A., Villarreal, M.L., Waller, E.K., Chambers, S.N., Benavides, J.A., Lawson, R.S., and Martinez, J., 2026, Landscape connectivity and wildlife access to water across an international border: Barriers and opportunities for facilitating transboundary movement: Global Change Biology, v. 32, no. 5, e70888, 16 p., https://doi.org/10.1111/gcb.70888.","productDescription":"e70888, 16 p.","ipdsId":"IP-178984","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":504648,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13155767/","text":"External Repository"},{"id":504577,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1KT9Y3A","text":"USGS data release","linkHelpText":"Land cover dataset for the Lower Rio Grande Valley (2023)"},{"id":504576,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P16WUBDY","text":"USGS data release","linkHelpText":"Modeling data for landscape connectivity and wildlife access to water across an international border"},{"id":504522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Tamaulipas, Texas","otherGeospatial":"Rio Grande","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.31616506764966,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 26.756446591259376\n ],\n [\n -97.12393085477446,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 25.753367645592732\n ],\n [\n -99.31616506764966,\n 26.756446591259376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":961769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":961770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219650,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":961771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gabler, Christopher A. 0000-0001-9311-7248","orcid":"https://orcid.org/0000-0001-9311-7248","contributorId":371394,"corporation":false,"usgs":false,"family":"Gabler","given":"Christopher","middleInitial":"A.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrett, Jerald T.","contributorId":371395,"corporation":false,"usgs":false,"family":"Garrett","given":"Jerald","middleInitial":"T.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes, Ernesto","contributorId":371396,"corporation":false,"usgs":false,"family":"Reyes","given":"Ernesto","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961774,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bilodeau, Stephanie A. 0009-0008-0881-059X","orcid":"https://orcid.org/0009-0008-0881-059X","contributorId":371397,"corporation":false,"usgs":false,"family":"Bilodeau","given":"Stephanie","middleInitial":"A.","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961775,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sternberg, Mitch A. 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0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":203496,"corporation":false,"usgs":true,"family":"Waller","given":"Eric","email":"","middleInitial":"K.","affiliations":[{"id":433,"text":"National Phenology Network","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961778,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chambers, Samuel N. 0000-0002-4734-2855","orcid":"https://orcid.org/0000-0002-4734-2855","contributorId":371399,"corporation":false,"usgs":false,"family":"Chambers","given":"Samuel","middleInitial":"N.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":961779,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Benavides, Jude A.","contributorId":371400,"corporation":false,"usgs":false,"family":"Benavides","given":"Jude","middleInitial":"A.","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961780,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lawson, Robert S.","contributorId":371401,"corporation":false,"usgs":false,"family":"Lawson","given":"Robert","middleInitial":"S.","affiliations":[{"id":88134,"text":"Cherokee Nation System Solutions, Contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":961781,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Martinez, James","contributorId":371402,"corporation":false,"usgs":false,"family":"Martinez","given":"James","affiliations":[{"id":88132,"text":"University of Texas Rio Grande Valley, Brownsville, TX","active":true,"usgs":false}],"preferred":false,"id":961782,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70275700,"text":"70275700 - 2026 - Walleye In our hands","interactions":[],"lastModifiedDate":"2026-05-13T13:49:23.310903","indexId":"70275700","displayToPublicDate":"2026-05-08T08:45:11","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Walleye In our hands","docAbstract":"No abstract available.
","language":"English","publisher":"Keep Fish Wet, Inc.","usgsCitation":"Embke, H., 2026, Walleye In our hands, 1 p.","productDescription":"1 p.","ipdsId":"IP-188429","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504295,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":504294,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.keepfishwet.org/walleye-in-our-hands"}],"noUsgsAuthors":false,"publicationDate":"2026-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":961441,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275631,"text":"sir20265007 - 2026 - Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022","interactions":[],"lastModifiedDate":"2026-05-11T17:06:06.542003","indexId":"sir20265007","displayToPublicDate":"2026-05-07T15:45:00","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":"2026-5007","displayTitle":"Regression Models for Estimating Suspended Sediment Concentrations and Loads and Comparison With Acoustic Surrogate Model on the Snake River, Weiser, Idaho, 1977–2022","title":"Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022","docAbstract":"The U.S. Geological Survey, in cooperation with Idaho Power, developed streamflow- based regression models to estimate suspended sediment concentration (SSC) and loads on the Snake River at Weiser, Idaho site (U.S. Geological Survey streamgage 13269000; hereafter referred to as “Snake at Weiser site”). This site sits upstream from the dams and reservoirs of the Hells Canyon Complex and the Hells Canyon National Recreation Area, where large sandbars along the Snake River that provide recreation and riparian habitat and host archaeological resources have declined since 1973. Analyses of samples from historical (1977- 2003) and modern (2017- 22) periods show that SSC has decreased over time, with median concentrations declining from 50 milligrams per liter (mg/L) to 28 mg/L. Mann- Kendall trend tests confirm statistically significant declines in total SSC and the fine and sand fractions of suspended sediment through the full period of record.
Regression models specific to each period outperformed models using the full dataset, suggesting changes in the sediment supply to this reach of the Snake River and highlighting the need for period- based approaches. Regression models for total SSC and fine sediment were more accurate than those for sand, which exhibited greater error and bias, likely reflecting a sand supply limited by upstream dams. The regression model for modern period total SSC and a previously developed acoustic surrogate model showed similar performance, indicating both methods are viable for estimating SSC and loads.
These findings help to better quantify suspended sediment concentrations and loads upstream of the Hells Canyon Complex and provide resource managers with tools to better quantify sediment loads affecting reservoir storage and the maintenance of sandbars in the Hells Canyon National Recreation Area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265007","collaboration":"Prepared in cooperation with Idaho Power","usgsCitation":"Kenworthy, M.K., 2026, Regression models for estimating suspended sediment concentrations and loads and comparison with acoustic surrogate model on the Snake River, Weiser, Idaho, 1977–2022: U.S. Geological Survey Scientific Investigations Report 2026–5007, 27 p., https://doi.org/10.3133/sir20265007.","productDescription":"Report: vi, 27 p.; 2 Data Releases","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173970","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":504272,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119409.htm","linkFileType":{"id":5,"text":"html"}},{"id":504016,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14KZNMK","text":"USGS data release","linkHelpText":"Suspended sediment dataset for development of regression models to estimate suspended sediment concentration and loads for the Snake River at Weiser, Idaho, 1977–2022"},{"id":504011,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.pdf","size":"4.25 MB","description":"SIR 2026-5007 PDF"},{"id":504015,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YT1GIC","text":"USGS data release","linkHelpText":"Model Archive Summary for acoustic derived suspended- sediment concentration at 13269000 Snake River at Weiser, ID"},{"id":504014,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5007/images/"},{"id":504013,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5007/sir20265007.XML","description":"SIR 2026-5007 XML"},{"id":504012,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265007/full","description":"SIR 2026-5007 HTML"},{"id":504010,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5007/coverthb.jpg"}],"country":"United States","state":"Idaho, Nevada, Oregon, Utah","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 45.5\n ],\n [\n -113,\n 45.5\n ],\n [\n -113,\n 41\n ],\n [\n -119,\n 41\n ],\n [\n -119,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd.
Boise, Idaho 83702-4520
In September 2021, National Park Service staff, U.S. Geological Survey scientists, and an international team of researchers revealed evidence in the form of human footprints at White Sands National Park, New Mexico, that showed people were present in North America between 23,000 and 21,000 years ago. This time was during the Last Glacial Maximum, when large ice sheets covered much of the continent. The results stunned the scientific community and sparked a global debate. The story of how the discoveries were made, how they upended traditional thought, and how they “rewrote the book” on the earliest phases of North American prehistory is a classic example of the process of science.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253046","collaboration":"Prepared in cooperation with National Park Service","usgsCitation":"Springer, K.B., Pigati, J.S., Bustos, D., Urban, T.M., and Bennett, M.R., 2026, Fossil footprints and Ice Age ecosystems of White Sands National Park: U.S. Geological Survey Fact Sheet 2025-3046, 4 p., https://doi.org/10.3133/fs20253046.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-177481","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503941,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3046/coverthb.jpg"},{"id":503942,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3046/fs20253046.pdf","text":"Report","size":"1.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3046"},{"id":504017,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3046/images"},{"id":504018,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3046/fs20253046.xml"},{"id":504111,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253046/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3046"}],"country":"United States","state":"New Mexico","otherGeospatial":"White Sands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.50247040524931,\n 32.88598162330949\n ],\n [\n -106.11338464579849,\n 32.88598162330949\n ],\n [\n -106.11338464579849,\n 32.64753255908184\n ],\n [\n -106.50247040524931,\n 32.64753255908184\n ],\n [\n -106.50247040524931,\n 32.88598162330949\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225
This fact sheet summarizes the discovery, documentation, and publication of scientific results related to ancient human footprints at White Sands National Park that showed humans were present in North America during the Last Glacial Maximum.
","publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960820,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bustos, David","contributorId":265969,"corporation":false,"usgs":false,"family":"Bustos","given":"David","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":960822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Urban, Thomas M.","contributorId":370870,"corporation":false,"usgs":false,"family":"Urban","given":"Thomas","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":960823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Matthew R.","contributorId":370871,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","middleInitial":"R.","affiliations":[{"id":48716,"text":"Bournemouth University","active":true,"usgs":false}],"preferred":false,"id":960824,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275237,"text":"sir20265135 - 2026 - Water use in Louisiana, 2020","interactions":[],"lastModifiedDate":"2026-05-11T17:02:38.301144","indexId":"sir20265135","displayToPublicDate":"2026-05-07T09:31:12","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":"2026-5135","displayTitle":"Water Use in Louisiana, 2020","title":"Water use in Louisiana, 2020","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Louisiana Department of Transportation and Development, collected water-withdrawal and water-use data from a 2020 inventory of water withdrawals in Louisiana. In 2020, approximately 8,700 million gallons per day (Mgal/d) of water was withdrawn from groundwater and surface-water sources in Louisiana, which represented a 0.22-percent decrease from 2015. Total groundwater withdrawals were about 1,900 Mgal/d, an increase of 7.1 percent from 2015, and total surface-water withdrawals were about 6,800 Mgal/d, a decrease of 2.1 percent from 2015 to 2020.
Total water withdrawals, in million gallons per day, in 2020 for the various categories of use were as follows: public supply, 720; industry, 2,100; power generation, 4,100; rural domestic, 39; livestock, 7.0; rice irrigation, 930; general irrigation, 250; and aquaculture, 590. From 2015 to 2020, Louisiana’s total withdrawals for public supply increased by 1.4 percent, industry decreased by 2.3 percent, power generation decreased by 4.9 percent, rural domestic decreased by 1.2 percent, livestock increased by 11 percent, rice irrigation increased by 13 percent, general irrigation increased by 12 percent, and aquaculture increased by 20 percent.
About 51 percent (approximately 960 Mgal/d) of all groundwater withdrawn was from the Chicot aquifer system and 24 percent (approximately 450 Mgal/d) was withdrawn from the Mississippi River alluvial aquifer. Since 2015, withdrawals from the Chicot aquifer system increased by 13 percent, and withdrawals from the Mississippi River alluvial aquifer increased by 18 percent. About 72 percent (4,900 Mgal/d) of all surface water withdrawn was from the Mississippi River main stem. This value represents a 1.1-percent decrease in withdrawals from 2015 to 2020.
All water-withdrawal and water-use data presented in this report should be considered estimates. Because of rounding, totals and percentages presented in the tables, figures, and text in the report may differ slightly from totals or percentages calculated individually.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Pesticides in freshwater systems can compromise water availability by degrading water quality, with implications for human health and aquatic life. Despite recognition of the need for national-scale monitoring and analysis, few studies have documented long-term trends in surface water pesticide contamination across the US. This study addresses that need by analyzing temporal trends and acute and chronic benchmark exceedances for aquatic life and human health from 81 river sites sampled from 2013 to 2022 using an analytical method targeting 80 pesticides. The majority (79%) of single site and pesticide combinations had too few pesticide detections to estimate trends. When detections were more frequent, increasing trends in concentration were twice as common as decreasing trends. Increasing pesticide concentrations were common in primary drainages of the Mississippi River Basin. Aquatic life benchmarks were exceeded by 19 pesticides, and exceedances were geographically widespread, with both acute and chronic aquatic life benchmark exceedances at 62% of sites. The herbicides atrazine and metolachlor and the insecticide imidacloprid were identified as the greatest threats to surface water availability based on their trends and aquatic life benchmark exceedances. These findings demonstrate the need for continued monitoring and trend analysis, driver investigation, and management strategies to protect freshwater resources.
","language":"English","publisher":"American Chemical Society Publications","doi":"10.1021/acsestwater.5c01472","usgsCitation":"Shoda, M.E., Breitmeyer, S.E., Hinman, E., and Stackpoole, S.M., 2026, Riverine pesticide trends in the United States: Assessing a decade of national-scale monitoring: Environmental Science & Technology Water (ES&T Water), https://doi.org/10.1021/acsestwater.5c01472.","ipdsId":"IP-180524","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":504360,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c01472","text":"Publisher Index Page"},{"id":504262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": 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Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":961388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hinman, Elise Danica 0000-0001-5396-1583","orcid":"https://orcid.org/0000-0001-5396-1583","contributorId":356291,"corporation":false,"usgs":true,"family":"Hinman","given":"Elise Danica","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":961389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stackpoole, Sarah M. 0000-0002-5876-4922","orcid":"https://orcid.org/0000-0002-5876-4922","contributorId":211238,"corporation":false,"usgs":true,"family":"Stackpoole","given":"Sarah","email":"","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961390,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275706,"text":"70275706 - 2026 - Life history traits and population dynamics of Freshwater Drum across large river gradients","interactions":[],"lastModifiedDate":"2026-05-13T14:10:53.539574","indexId":"70275706","displayToPublicDate":"2026-05-07T09:05:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Life history traits and population dynamics of Freshwater Drum across large river gradients","docAbstract":"Monitoring and assessment of nongame native fishes is limited, but conservation interest in these species is growing. Freshwater Drum Aplodinotus grunniens are a wide-ranging species that serve important functional roles and could serve as an indicator for similar but less common species. Our overall objectives were to quantify and compare population dynamic rates and life history of Freshwater Drum among study reaches in the upper Mississippi and Illinois rivers and relate these metrics to hypothesized environmental and anthropogenic factors.
We integrated recently collected age data with monitoring data to estimate age and size distributions, growth curves, maturation schedules, mortality rates, and young-to-adult ratios of Freshwater Drum in six study reaches spanning 1,500 km of river. Principal component analyses and linear regression were used to relate environmental and anthropogenic gradients (latitude, commercial harvest, hydrologic dynamics, primary productivity) to life history traits and population dynamic rates.
We found latitudinal gradients in life history traits and population dynamic rates whereby Freshwater Drum in upstream, higher-latitude study reaches generally exhibited later maturity, slower growth, smaller maximum size, and lower mortality rates compared with those in lower-latitude study reaches. Further, young-to-adult ratios positively corresponded with chlorophyll-a concentration. No clear relationships were apparent between population dynamic rates and hydrologic variation or commercial harvest.
Latitude is an important structuring component of life history traits and population dynamics of Freshwater Drum in the upper Mississippi and Illinois rivers likely due to both temperature seasonality and disturbance regimes. The presence of demographic structure in a widespread, common species such as Freshwater Drum suggests similar patterns likely exist in other long-lived native fishes.
The giant gartersnake (Thamnophis gigas) is a semi aquatic snake endemic to the Central Valley of California. After losing 95 percent of its historic wetland habitat (Frayer and others, 1989), giant gartersnakes became state and federally listed as a threatened species (California Fish and Game Commission, 1971; U.S. Fish and Wildlife Service 1993, 1999). Continued monitoring of current populations and implementation of suggested management actions is necessary to recover the species. The Natomas basin in Sacramento, California, supports a population of giant gartersnakes persisting in restored marshes and rice agriculture. This annual report summarizes the giant gartersnake monitoring project for 2024, focusing on the apparent survival, abundance, density, and distribution of the giant gartersnakes and the connectivity of habitat throughout the Natomas basin. In 2024, 131 giant gartersnakes were captured 216 times at 44 sites by hand or trap. The catch-per-unit effort decreased from 2023 to 2024 but was similar to other years of the study. Estimates of occupancy increased between 2023 and 2024, although the trend of occupancy from 2011 through 2024 is still decreasing overall at a mean annual rate of 3 percent per year. Apparent survival was much higher at Betts-Kismat-Silva from 2018 to 2019 and from 2021 to 2022 than in other years, but this may be partly attributed to different sampling efforts over the years. Trapping effort was more consistent in the Sills tract, and apparent survival was slightly higher in later years (2022–23 and 2023–24). Giant gartersnake populations appeared to remain stable in 2024, but abundance, density, survival, and distribution is highly variable across different sites and years of the study. Continued monitoring of the populations would allow for better trend estimates over time and assessment of the effects of management activities. Giant gartersnake populations throughout the basin and on reserve lands would likely benefit from the following: (1) creating more managed marsh; (2) increasing the amount of emergent tule vegetation in existing marshes (for example, Cummings, Natomas Farms, and Lucich South); (3) continuing to flood existing marshes in early spring; (4) maintaining rice agriculture; and (5) continuing research into conservation actions that target the giant gartersnake, such as habitat and water management and translocation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261009","collaboration":"Prepared in cooperation with the Natomas Basin Conservancy","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Nguyen, A.M., Rose, J.P., Jordan, A.C., Napolitano, G.R., Macias, D., Schoenig, E.J., Reyes, G.A., and Halstead, B.J., 2026, Natomas basin giant gartersnake annual monitoring report 2024: U.S. Geological Survey Open-File Report 2026–1009, 40 p., https://doi.org/10.3133/ofr20261009.","productDescription":"viii, 40 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-181032","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504021,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1009/ofr20261009.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1009 PDF"},{"id":504023,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1009/ofr20261009.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1009 XML"},{"id":504020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1009/coverthb2.jpg"},{"id":504022,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261009/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1009 HTML"},{"id":504024,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1009/images"}],"country":"United States","state":"California","otherGeospatial":"Natomas Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.633,\n 38.833\n ],\n [\n -121.433333,\n 38.833\n ],\n [\n -121.433333,\n 38.681881516888694\n ],\n [\n -121.633,\n 38.681881516888694\n ],\n [\n -121.633,\n 38.833\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
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Sacramento, California 95819
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 3 million barrels of oil and 343.5 trillion cubic feet of gas in reservoirs of the Bossier Formation within the onshore United States and State waters of the Gulf Coast region.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263004","programNote":"National and Global Petroleum Assessment","usgsCitation":"Gardner, R., Birdwell, J.E., Flaum, J.A., Kinney, S.A., Pitman, J.K., Paxton, S.T., Cicero, A.D., Lagesse, J.H., Pepin, J.D., Counts, J.W., Johnson, B.G., Lohr, C.D., Whidden, K.J., French, K.L., Mercier, T.J., and Leathers-Miller, H.M., 2026, Assessment of undiscovered oil and gas resources in the Bossier Formation within the onshore United States and State waters of the Gulf Coast region, 2025: U.S. Geological Survey Fact Sheet 2026–3004, 4 p., https://doi.org.10.3133/fs20263004.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-184698","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504226,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263004/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3004"},{"id":504040,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3004/fs20263004.xml"},{"id":504039,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3004/images"},{"id":504270,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119407.htm","linkFileType":{"id":5,"text":"html"}},{"id":503891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3004/coverthb.jpg"},{"id":503892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3004/fs20263004.pdf","text":"Report","size":"3.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3004"},{"id":503893,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14PGG8R","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Bossier Formation, Gulf Coast Region—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"country":"United States","state":"Alabama, Arkansas, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Bossier Formation, Gulf Coast region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102,\n 34\n ],\n [\n -84,\n 34\n ],\n [\n -84,\n 27\n ],\n [\n -102,\n 27\n ],\n [\n -102,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
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Box 25046, MS-939
Denver, CO 80225-0046