{"pageNumber":"2","pageRowStart":"25","pageSize":"25","recordCount":68992,"records":[{"id":70276407,"text":"70276407 - 2026 - Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","interactions":[],"lastModifiedDate":"2026-06-04T19:56:25.660858","indexId":"70276407","displayToPublicDate":"2026-05-15T09:19:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","title":"Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors","docAbstract":"

Melanistic lesions, including non-raised black areas due to proliferations of melanocytes and melanomacrophages in the dermis and epidermis, as well as raised black areas consistent with melanoma, are described in brown bullhead (BBH) Ameiurus nebulosus from three water bodies in the northeastern United States and Quebec, Canada. First observed in the Vermont portion of Lake Memphremagog, Vermont, USA and Quebec, Canada, the prevalence of melanistic lesions during 2014–2020 was greater than 30% in BBH 200 mm and longer. In 2023, seven sites throughout the lake were assessed, and prevalence ranged from 18% to 42%. In Hermon Pond, Maine, the prevalence was 29% in 2024, and in Village Pond, New Hampshire, lesions occurred in 22% of BBH in 2025. Compared to skin from visibly normal BBH, skin with melanistic lesions had significantly higher concentrations of seven metals, including arsenic, a known carcinogen and zinc. Lesions associated with oxidative damage, such as the accumulation of ceroid/lipofuscin, were also observed in the gill, spleen and kidney tissue of both affected and visibly normal BBH. The progression of lesions, observed by histopathology, ranged from inflammation, signs of oxidative damage, proliferation and necrosis of club cells, and the presence of melanomacrophages and melanocytes in the epidermis to invasive melanoma and suggests chronic exposure of BBH to environmental initiators and promoters of carcinogenesis.

","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70207","usgsCitation":"Blazer, V., Emerson, P., Bodnar, M., Jones, T., Russel, D.R., Pehrson, M., Smith, C.R., Cleveland, D.M., Henderson, M., and Mazik, P., 2026, Melanoma and other melanistic lesions in brown bullhead Ameiurus nebulosus from waterbodies in the northeastern United States and Canada: Identification of risk factors: Journal of Fish Diseases, https://doi.org/10.1111/jfd.70207.","ipdsId":"IP-184408","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":504995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New Hampshire, New York, Quebec, Vermont","otherGeospatial":"Lake Memphremagog","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.66071499002388,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 46.2739534350911\n ],\n [\n -67.13389918599088,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 43.122129985931196\n ],\n [\n -73.66071499002388,\n 46.2739534350911\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":962344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emerson, P.","contributorId":371775,"corporation":false,"usgs":false,"family":"Emerson","given":"P.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodnar, M.","contributorId":371776,"corporation":false,"usgs":false,"family":"Bodnar","given":"M.","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Thomas","contributorId":371818,"corporation":false,"usgs":false,"family":"Jones","given":"Thomas","affiliations":[{"id":27622,"text":"Vermont Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":962347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russel, D. R.","contributorId":371777,"corporation":false,"usgs":false,"family":"Russel","given":"D.","middleInitial":"R.","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962348,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pehrson, M.","contributorId":371779,"corporation":false,"usgs":false,"family":"Pehrson","given":"M.","affiliations":[{"id":56597,"text":"New Hampshire Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":962349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Cheyenne R. 0000-0002-7226-1774","orcid":"https://orcid.org/0000-0002-7226-1774","contributorId":219236,"corporation":false,"usgs":true,"family":"Smith","given":"Cheyenne","email":"","middleInitial":"R.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":true,"id":962350,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962351,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":962352,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mazik, Patricia 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":220979,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962353,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276491,"text":"70276491 - 2026 - Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","interactions":[],"lastModifiedDate":"2026-06-08T13:52:36.918832","indexId":"70276491","displayToPublicDate":"2026-05-15T08:44:37","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","title":"Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen","docAbstract":"

Water quality monitoring capacity has been declining for the Chesapeake Bay Program (CBP) at a time when information needs are growing, and data gaps exist to address critical decision-support for managers. The CBP Scientific Technical Assessment and Reporting Team is leading a Principal’s Staff Committee requested gap analyses toward understanding support needed to improve water quality monitoring and analysis programming. Advanced technologies and alternative monitoring approaches in the form of satellite-based measurements, Artificial Intelligence/Machine Learning (AI/ML) algorithms for data interpretation, continuous water quality in-situ sensor arrays, and community science efforts offer a growing portfolio of valuable opportunities for expanding data collections and analysis program capacities. However, since 1985, each of these options are examples of growing opportunities to enhance water quality assessments yet has seen limited adoption into elements of Chesapeake Bay water quality monitoring programs. Where new technologies have been adopted (e.g., shallow water continuous water quality monitoring), such temporally rich data streams have supported Bay health insights yet had limited use in regulatory water quality criteria assessment.

This Scientific Technical Advisory Committee (STAC) supported workshop provided the ideal forum for engaging our CBP partnership regarding the maturity of new and evolving monitoring and analysis capacities to address program information needs while appreciating limitations with adopting new tools and approaches. Improving natural resources monitoring efficiency and effectiveness will expand the scientific and technical foundations for making robust, strategic choices on decisions for CBP Partnership community-based priorities, policies, and management actions.

Workshop findings and recommendations reflect progress in science, technology, and analyses addressing long-standing programmatic limitations in data collection and analysis capacities. State-of-the-science updates highlighted in the workshop span the spectrum of efforts representing improvements, successes, remaining challenges toward operationalizing protocols, and guidance toward research, or adoption and implementation by monitoring programs.

","largerWorkTitle":"NA","language":"English","publisher":"Chesapeake Bay Program Scientific Technical Advisory Committee","usgsCitation":"Tango, P.J., Landry, B.J., Trice, M., Sullivan, B.M., Robertson, T., and Dennison, W., 2026, Advancing monitoring approaches to enhance tidal Chesapeake Bay habitat assessment for submerged aquatic vegetation, water clarity, chlorophyll a and dissolved oxygen, in NA, iv, 91 p.","productDescription":"iv, 91 p.","ipdsId":"IP-161341","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":505125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":505119,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeake.org/stac/document-library/advancing-monitoring-approaches-to-enhance-tidal-chesapeake-bay-habitat-assessment-for-submerged-aquatic-vegetation-water-clarity-chlorophyll-a-and-dissolved-oxygen/"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia","otherGeospatial":"Chesapeake Bay area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.36227023240401,\n 39.933100104906714\n ],\n [\n -77.43007449808343,\n 39.933100104906714\n ],\n [\n -77.43007449808343,\n 36.576543245012545\n ],\n [\n -75.36227023240401,\n 36.576543245012545\n ],\n [\n -75.36227023240401,\n 39.933100104906714\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tango, Peter J. 0000-0001-6669-6969","orcid":"https://orcid.org/0000-0001-6669-6969","contributorId":292845,"corporation":false,"usgs":true,"family":"Tango","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landry, Brooke J.","contributorId":295485,"corporation":false,"usgs":false,"family":"Landry","given":"Brooke","email":"","middleInitial":"J.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trice, Mark","contributorId":371869,"corporation":false,"usgs":false,"family":"Trice","given":"Mark","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":962498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Breck M","contributorId":371870,"corporation":false,"usgs":false,"family":"Sullivan","given":"Breck","middleInitial":"M","affiliations":[{"id":88232,"text":"Contractual","active":true,"usgs":false}],"preferred":false,"id":962499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robertson, Tish","contributorId":371871,"corporation":false,"usgs":false,"family":"Robertson","given":"Tish","affiliations":[{"id":39875,"text":"Virginia Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":962500,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dennison, William C.","contributorId":248356,"corporation":false,"usgs":false,"family":"Dennison","given":"William C.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":962501,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275759,"text":"70275759 - 2026 - Baseflow and snowmelt sustained streamflow in the Upper Colorado River Basin, 1986-2020","interactions":[],"lastModifiedDate":"2026-05-18T15:41:10.864479","indexId":"70275759","displayToPublicDate":"2026-05-15T08:34:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23283,"text":"Environmental Research: Water","active":true,"publicationSubtype":{"id":10}},"title":"Baseflow and snowmelt sustained streamflow in the Upper Colorado River Basin, 1986-2020","docAbstract":"The Upper Colorado River Basin (UCRB) faces substantial water availability limitations. Although most streamflow originates as snowmelt, the partitioning of snowmelt between surface runoff and groundwater recharge and subsequent groundwater discharge to streams is highly uncertain. On average, over half of the streamflow in the UCRB is estimated to originate from groundwater discharge to streams, highlighting the importance of baseflow in sustaining surface water. However, the historical patterns of baseflow and streamflow, along with their variability over space and time and their specific sources, remain unknown at the basin scale. This study addresses those gaps by characterizing the sources and transport pathways of both baseflow and streamflow in the UCRB at a seasonal timestep from 1986 to 2020, including the lagged delivery of subsurface water to streams beyond the current season, using coupled models of baseflow and streamflow. Between 1986 and 2020, on average 63% of UCRB streamflow originated from baseflow. About half of this baseflow took longer than one season to reach streams, and outside the snowmelt season, baseflow was the dominant source of streamflow. Snowmelt was a key source of both baseflow and streamflow. Current season snowmelt contributed 33% of streamflow via runoff, and 22% of the 29% of streamflow that originated as current season baseflow via subsurface flow to streams. Over the study period, baseflow index (BFI) declined in headwaters and increased at mid-elevations. Springtime increases in BFI demonstrate the increasingly important role baseflow plays in water supply. Identifying the sources, locations, and timing of water that contributed to the UCRB outlet can inform management of water resources in the basin.","language":"English","publisher":"IOP Publishing","doi":"10.1088/3033-4942/ae6727","usgsCitation":"Miller, O.L., Miller, M., Longley, P.C., Schmadel, N.M., Wise, D.R., McDonnell, M.C., and Alder, J.R., 2026, Baseflow and snowmelt sustained streamflow in the Upper Colorado River Basin, 1986-2020: Environmental Research: Water, v. 2, no. 2, 021002, 17 p., https://doi.org/10.1088/3033-4942/ae6727.","productDescription":"021002, 17 p.","ipdsId":"IP-179869","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":504646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae6727","text":"Publisher Index Page"},{"id":504482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.23469117797453,\n 41.9044248068121\n ],\n [\n -110.99513783185529,\n 36.15308652392842\n ],\n [\n -106.93457051483014,\n 35.85407686457539\n ],\n [\n -107.51160326104215,\n 40.752398955601954\n ],\n [\n -109.46008888645216,\n 42.06477413129022\n ],\n [\n -111.23469117797453,\n 41.9044248068121\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Olivia L. 0000-0002-8846-7048","orcid":"https://orcid.org/0000-0002-8846-7048","contributorId":216556,"corporation":false,"usgs":true,"family":"Miller","given":"Olivia","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961673,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmadel, Noah M. 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":961676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Daniel R. 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDonnell, Morgan C. 0000-0001-6946-9286","orcid":"https://orcid.org/0000-0001-6946-9286","contributorId":359926,"corporation":false,"usgs":false,"family":"McDonnell","given":"Morgan","middleInitial":"C.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":961674,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":961677,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275763,"text":"70275763 - 2026 - VegET evapotranspiration for Africa: Continental-scale simulation, multi-product evaluation, and drought assessment","interactions":[],"lastModifiedDate":"2026-05-18T15:28:47.067505","indexId":"70275763","displayToPublicDate":"2026-05-15T08:10:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"VegET evapotranspiration for Africa: Continental-scale simulation, multi-product evaluation, and drought assessment","docAbstract":"

Study region

Continental Africa, encompassing diverse climatic zones—tropical, arid, and temperate—and spanning major transboundary river basins such as the Nile, Niger, Congo, Volta, and Zambezi River Basins. The region exhibits pronounced hydroclimatic gradients and heterogeneous land use systems ranging from rainfed croplands and rangelands to dense tropical forests and irrigated schemes.

Study focus

Actual evapotranspiration (ETa) is a central component of the terrestrial water balance, governing the redistribution of water and energy between the land surface and the atmosphere. Accurate estimation of ETa at continental scale is critical for hydrological monitoring, water resource management, and climate adaptation, as well as for quantifying water, energy, and carbon fluxes that underpin sustainable development. In this study, we applied the agro-hydrologic VegET v2 model to simulate a new, high-resolution, continental-scale ETa dataset for Africa (2000–2021). The model results were benchmarked against four widely used remote sensing-based products—MODIS16 v6.1, SSEBop v6.1, WaPOR v3, and GLEAM v4.1a—across major climate zones, land use types, and River Basins, providing a comprehensive multi-product evaluation of evapotranspiration dynamics across the continent.

New hydrological insights for the region

Validation against eddy covariance flux tower observations at eight representative sites confirmed that VegET v2 accurately reproduces the seasonal dynamics of observed ETa, achieving a correlation (r) of 0.8 and an RMSE of 25 mm month⁻¹ —accuracy that is comparable to or higher than accuracies of satellite-based products MODIS16, SSEBop, and GLEAM. This study represents one of the first Africa-wide hydrological simulations of ETa, extending the VegET model beyond basin-scale applications. Intercomparisons reveal that VegET aligns closely with MODIS16, SSEBop, and GLEAM in humid and tropical regions (r = 0.80–0.90; RMSE < 20 mm month⁻¹), while greater discrepancies appear in arid and semi-arid zones, where WaPOR tends to overestimate ETa (RMSE ≥ 28 mm month⁻¹). Despite these differences, VegET effectively captures spatial and temporal ETa variability across rainfed croplands, forests, and savannas, supporting its utility in regional water balance assessments, water accounting, and drought monitoring. A key application of VegET v2 is the Evapotranspiration Deficit Index (ETDI), derived by integrating VegET-based ETa with potential evapotranspiration (PET) to quantify water stress. ETDI successfully captured major drought episodes across Africa, including persistent Sahelian and southern African dry spells, the 2020–2021 winter drought in the Maghreb, and the 2018–2019 austral summer drought in southern Africa, while identifying positive anomalies over central Africa indicative of recurrent wetness. These results underscore VegET’s capability as a hydrologically consistent, operational tool for continental ETa monitoring and drought assessment, offering support for basin-scale water balance studies, food security planning, and climate resilience across Africa’s diverse hydrological environments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2026.103511","usgsCitation":"Akpoti, K., Velpuri, N., Leh, M., Kagone, S., Mekonnen, K., Owusu, A., Tadesse, M., Prabhath, P.T., Madushanka, L., Perera, T., Parrish, G.E., Nangia, V., Sy, S., Bliefernicht, J., Guug, S., Seid, A., and Senay, G.B., 2026, VegET evapotranspiration for Africa: Continental-scale simulation, multi-product evaluation, and drought assessment: Journal of Hydrology: Regional Studies, v. 66, 103511, 46 p., https://doi.org/10.1016/j.ejrh.2026.103511.","productDescription":"103511, 46 p.","ipdsId":"IP-176068","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":504645,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2026.103511","text":"Publisher Index 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Historical, future, and potential stream capture from groundwater pumping in the middle Humboldt River Basin (MHRB), Nevada, is estimated using a calibrated numerical groundwater flow model. The model was developed to estimate (1) stream capture, which is the change in flux between the groundwater system and the Humboldt River and tributaries, and (2) change in streamflow, which is the change in streamflow estimated for the Imlay gage on the Humboldt River (U.S. Geological Survey streamgage 10333000). Historical stream capture for water years (WYs) 1961–2015 is estimated using recorded and estimated groundwater pumping during that period. Future (predictive) stream capture was based on historical stresses (WYs 1961–2015) using a scenario that simulated non-mine pumping from WY 2015 at a uniform rate for 100 years into the future. Potential stream capture throughout the middle Humboldt River Basin from groundwater pumping during varying durations of time are presented in a series of capture maps. Maps also are presented that show the potential to capture from groundwater evapotranspiration, as well as the storage changes for pumping duration of 100 years.

Estimates of historical stream capture from the mainstem Humboldt River during the early 1960s are less than 400 acre-feet per year (acre-ft/yr) when groundwater withdrawals and pumping rates were relatively small compared to more recent times. In the late 1980s and early 1990s, groundwater withdrawals increased and estimated historical stream capture also increased from about 4,000 acre-ft/yr in the late 1980s and early 1990s to as much as 18,800 acre-feet (acre-ft) in WY 1998. In WY 2015, estimated historical stream capture declined to about 13,000 acre-ft because of decreasing groundwater withdrawals and lower streamflow during the drought of WYs 2012–15, resulting in less stream water available for capture. Stream capture was estimated for 100 years into the future based on WY 2015 non-mine pumping rates and mine-dewatering activity through WY 2015. Stream capture is forecast to increase to about 23,000 acre-ft/yr, and streamflow in the Humboldt River could decrease by as much as 19,000 acre-ft/yr.

Pumping for mine-dewatering and the associated discharge of that water affects streamflow in the Humboldt River at Imlay, Nevada (U.S. Geological Survey streamgage 10333000). Historically, from WYs 1991 to 2015, streamflow was greater at Imlay gage during active mine-dewatering from mine-water discharge operations and increased by as much as 105,000 acre-ft in WY 1998. The increase was attributed mostly to the discharge of groundwater from mine-related dewatering operations directly into the mainstem Humboldt River or its tributaries, with some of this increase associated with return flows from discharge to rapid infiltration basins. Results indicate that streamflow at Imlay gage is expected to decrease by as much as 1,600 acre-ft/yr 30 years after mine-related pumping and discharge are discontinued. The streamflow reductions at the Imlay gage are expected to then decrease to around 500 acre-ft/yr, 100 years after mine-related pumping and discharge are discontinued.

Potential capture maps were produced for pumping durations of 10, 25, 50, and 100 years. Capture map results indicate that areas of greater potential stream capture occur adjacent to the Humboldt River and for upstream tributaries areas north of the Humboldt River.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1906","collaboration":"Prepared in cooperation with the Nevada Division of Water Resources","programNote":"Water Resources Mission Area—Cooperative Water Program and Hydrologic Research and Development","usgsCitation":"Davis, K.W., Eldridge, W.G., Allander, K.K., Prudic, D.E., Gardner, M.A., Pavelko, M.T., and Nadler, C.A., 2026, Evaluation of stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada: U.S. Geological\nSurvey Professional Paper 1906, 176 p., https://doi.org/10.3133/pp1906.","productDescription":"Report: xiv, 176 p.; 2 Data Releases","numberOfPages":"176","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-089162","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":504433,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119414.htm","linkFileType":{"id":5,"text":"html"}},{"id":504309,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YZUT70","text":"USGS data release","linkHelpText":"Humboldt River Basin model grids and potential groundwater capture results"},{"id":504308,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UPZJJH","text":"USGS data release","linkHelpText":"MODFLOW-6 models to evaluate stream capture related to groundwater pumping, middle Humboldt River Basin, Nevada"},{"id":504305,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1906/full","linkFileType":{"id":5,"text":"html"},"description":"PP 1906 HTML"},{"id":504304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.pdf","text":"Report","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1906 PDF"},{"id":504303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1906/coverthb.jpg"},{"id":504307,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1906/images"},{"id":504306,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1906/pp1906.XML","description":"PP 1906 XML"}],"country":"United States","state":"Nevada","otherGeospatial":"middle Humboldt River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.5,\n 42\n ],\n [\n -119,\n 42\n ],\n [\n -119,\n 39\n ],\n [\n -114.5,\n 39\n ],\n [\n -114.5,\n 42\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Nevada Water Science Center
U.S. Geological Survey
2730 N. Deer Run Road, Suite 3
Carson City, Nevada 89701

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-05-14","noUsgsAuthors":false,"plainLanguageSummary":"

The Humboldt River in the middle Humboldt River Basin (MHRB) is a water source that supports substantial agricultural development in northern Nevada. Additionally, groundwater in the MRHB is pumped to support agriculture, energy, municipal, and mining operations. This study evaluates the effects of groundwater pumping on streamflow and estimates stream capture for the Humboldt River and MHRB. A calibrated numerical groundwater-flow model was used in this study to estimate historical and future stream capture from groundwater pumping in the MHRB. Historical stream capture for the Humboldt River and its tributaries, specifically from water year 1961 to water year 2015, was determined based on recorded and estimated groundwater pumping during that period and was about 400 acre-feet per year during the early 1960s, 4,000 acre-feet per year in the late 1980s and early 1990s, and 13,000 acre-feet per year in water year 2015. Stream capture from the Humboldt River is forecasted to increase to as much as 23,000 acre-feet per year 100 years into the future, an increase from the estimated historical stream capture. Forecasted streamflow in the Humboldt River could decrease by as much as 19,000 acre-feet per year after 100 years of pumping for agricultural, municipal, and energy-related uses. Historical pumping for mine-dewatering and the associated mine-water discharge are forecasted to reduce streamflow at the Imlay streamgage in the Humboldt River by as much as 1,600 acre-feet per year 30 years after mining operations are discontinued. Streamflow reductions from historical mining operations are forecasted to be 500 acre-feet per year 100 years after mining operations are discontinued.

","publicationDate":"2026-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Kyle W. 0000-0002-8723-0110","orcid":"https://orcid.org/0000-0002-8723-0110","contributorId":201549,"corporation":false,"usgs":true,"family":"Davis","given":"Kyle W.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allander, Kip K. 0000-0002-3317-298X","orcid":"https://orcid.org/0000-0002-3317-298X","contributorId":371314,"corporation":false,"usgs":false,"family":"Allander","given":"Kip","middleInitial":"K.","affiliations":[{"id":88112,"text":"Nevada Division of Water Resources","active":true,"usgs":false}],"preferred":false,"id":961513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prudic, David E.","contributorId":371315,"corporation":false,"usgs":false,"family":"Prudic","given":"David","middleInitial":"E.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":961514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Murphy A. 0000-0002-3951-6667","orcid":"https://orcid.org/0000-0002-3951-6667","contributorId":279996,"corporation":false,"usgs":false,"family":"Gardner","given":"Murphy","middleInitial":"A.","affiliations":[],"preferred":false,"id":961515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pavelko, Michael T. 0000-0002-8323-3998 mpavelko@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3998","contributorId":2321,"corporation":false,"usgs":true,"family":"Pavelko","given":"Michael","email":"mpavelko@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nadler, Cara A. 0000-0002-8711-7249","orcid":"https://orcid.org/0000-0002-8711-7249","contributorId":371316,"corporation":false,"usgs":false,"family":"Nadler","given":"Cara","middleInitial":"A.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":961517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275765,"text":"70275765 - 2026 - Timing, uncertainty, and opportunity cost: Lessons for ecosystem modification on the Colorado River","interactions":[],"lastModifiedDate":"2026-05-18T14:54:02.129332","indexId":"70275765","displayToPublicDate":"2026-05-13T09:43:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2254,"text":"Journal of Environmental Economics and Management","active":true,"publicationSubtype":{"id":10}},"title":"Timing, uncertainty, and opportunity cost: Lessons for ecosystem modification on the Colorado River","docAbstract":"

While conservation goals have long been pursued through traditional species-augmenting actions, a broader set of episodic ecosystem modification (EEM) actions, such as hydropower dam releases, prescribed fire, and beach nourishment, is garnering attention. EEM actions face several implementation challenges stemming from high opportunity costs, delayed effect mechanisms, reliance on monitoring for deployment timing, and outcome uncertainty due to infrequent use. In this paper, we study the use of EEM actions in the form of designer flows—ecologically-motivated releases of water into regulated river segments—to maintain a viable population of a threatened native fish species in the Colorado River. We demonstrate how the cost-effectiveness of EEM actions can be hampered by the complex and delayed effects on species viability, but enhanced through targeted monitoring for timing deployment and experimentation for reducing uncertainty about effectiveness.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jeem.2026.103358","usgsCitation":"Donovan, P., Bair, L., Reimer, M.N., Springborn, M.R., and Yackulic, C.B., 2026, Timing, uncertainty, and opportunity cost: Lessons for ecosystem modification on the Colorado River: Journal of Environmental Economics and Management, v. 139, 103358, 18 p., https://doi.org/10.1016/j.jeem.2026.103358.","productDescription":"103358, 18 p.","ipdsId":"IP-173247","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":504475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Colorado River, Little Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.92578388894441,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.31842888072495\n ],\n [\n -111.64115996990965,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.080581116654784\n ],\n [\n -111.92578388894441,\n 36.31842888072495\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.24642454429791,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 37.03707643041851\n ],\n [\n -111.65363184207222,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 36.808423431037184\n ],\n [\n -111.24642454429791,\n 37.03707643041851\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"139","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Pierce","contributorId":216838,"corporation":false,"usgs":false,"family":"Donovan","given":"Pierce","email":"","affiliations":[{"id":39527,"text":"University of California, Davis, CA; Agricultural and Resource Economics","active":true,"usgs":false}],"preferred":false,"id":961712,"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":961713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reimer, Matthew N.","contributorId":200052,"corporation":false,"usgs":false,"family":"Reimer","given":"Matthew","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":961714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Springborn, Michael R.","contributorId":207552,"corporation":false,"usgs":false,"family":"Springborn","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":37562,"text":"University of California Davis, 1 Shields Avenue Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":961715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":961716,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275725,"text":"70275725 - 2026 - Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","interactions":[],"lastModifiedDate":"2026-05-14T13:56:24.356393","indexId":"70275725","displayToPublicDate":"2026-05-13T08:51:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Storm surge barriers reduce seaward sediment supply to lagoonal estuaries","docAbstract":"

Numerical simulations with realistic forcing of fixed infrastructure for a proposed storm surge barrier for a lagoonal estuary, Jamaica Bay (New York, USA), are analyzed during typical forcing conditions to assess alterations to flow and sediment transport with the barrier open. Lagoonal estuaries are shallow and have modest watershed freshwater and sediment inputs, so sediment delivery is primarily from offshore by tidal transport. The storm surge barrier infrastructure across the inlet channel reduces cross-sectional area and increases tidal velocities, increasing frictional and form drag. The overall reduction in tidal amplitude is about 1%, but the quarterdiurnal M4 component decreases by 11%. The salinity and stratification in the estuary are only slightly modified by mixing by stronger velocities near the barrier. Sediment transport in the inlet scales approximately with tidal velocity cubed and net landward transport is driven by flood-dominant tidal asymmetry. Additionally, tidal asymmetry in the jet flow through barrier openings causes a divergence in sediment transport within several kilometers. The alterations to the tidal currents reduce sediment import to the bay by 20% for fine sand; transport of sediment with slower settling velocities is less affected, with reductions of 3% for medium silt and <1% for fine silt. The study examined tidal exchange with an open barrier, but the overall impact also depends on barrier operations during major storm events. The impacts of barrier infrastructure on lagoonal estuaries are distinct from other estuary types due to their modest freshwater input, predominance of tidal transport, and offshore sediment supply.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF007875","usgsCitation":"Ralston, D.K., Orton, P.M., Warner, J., and Kasaei, S., 2026, Storm surge barriers reduce seaward sediment supply to lagoonal estuaries: Earth's Future, v. 14, no. 5, e2025EF007875, 16 p., https://doi.org/10.1029/2025EF007875.","productDescription":"e2025EF007875, 16 p.","ipdsId":"IP-183962","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504376,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef007875","text":"Publisher Index Page"},{"id":504326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.74586877963497,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.67986236990268\n ],\n [\n -73.95095086054383,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.52706254930354\n ],\n [\n -73.74586877963497,\n 40.67986236990268\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2026-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Ralston, David K.","contributorId":371319,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":88115,"text":"Applied Ocean Physics & Engineering, Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":961537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orton, Philip M.","contributorId":371320,"corporation":false,"usgs":false,"family":"Orton","given":"Philip","middleInitial":"M.","affiliations":[{"id":88116,"text":"Civil, Environmental & Ocean Engineering, Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kasaei, Shima","contributorId":369142,"corporation":false,"usgs":false,"family":"Kasaei","given":"Shima","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":961540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","interactions":[{"subject":{"id":70265808,"text":"70265808 - 2025 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"70265808","publicationYear":"2025","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"predicate":"SUPERSEDED_BY","object":{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"sir20265005","publicationYear":"2026","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"id":1}],"lastModifiedDate":"2026-05-15T17:52:16.098628","indexId":"sir20265005","displayToPublicDate":"2026-05-12T10:30:00","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":"2026-5005","displayTitle":"Salinas Valley Integrated Hydrologic and Reservoir Operations Models, Monterey and San Luis Obispo Counties, California","title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","docAbstract":"

The area surrounding the Salinas Valley groundwater basin in Monterey and San Luis Obispo Counties of California is a highly productive agricultural area, contributes substantially to the local economy, and provides a substantial portion of vegetables and other agricultural commodities to the Nation. This region of California provides about half of the Nation’s lettuce, celery, broccoli, and spinach each year. Thus, this agricultural area provides substantial volumes of agricultural products not just for California but for the United States.

Changes in population and increased agricultural development, which includes a shift toward more water-intensive crops, and climate variability, have put increasing demand on both surface-water and groundwater resources in the valley. This situation has resulted in water management challenges in the Salinas Valley that generally relate to the distribution of the water supply throughout the basin. Where and when the water is present in the surface and subsurface does not coincide with where and when the water is needed. Historically, to deal with the distribution issue, water has been used conjunctively in the valley. Conjunctive use is a water management strategy that coordinates surface-water and groundwater use to maximize water availability. Groundwater is used throughout the Salinas Valley to meet water demands when surface-water supplies are insufficient. The availability of surface water is constrained by climate. Precipitation and streamflow vary seasonally and year to year. Although there are two reservoirs in the Salinas Valley to capture and store water during wet periods, the only conveyance of reservoir water to coastal agricultural areas is the Salinas River. Increasing demand for groundwater and surface-water resources throughout the Salinas Valley has resulted in undesirable effects from unsustainable water use, such as surface-water depletion, groundwater-level declines, storage depletion in the principal aquifers, and seawater intrusion. To address these escalating issues, local communities, water management agencies, and groundwater sustainability agencies are evaluating how to sustainably manage both their surface-water and groundwater resources. To meet water demands and reduce the undesirable effects of unsustainable water use, continued conjunctive management of surface water and groundwater would ideally incorporate strategies to deal with increases in demand and climate variability.

To evaluate the challenging water management issues in the Salinas Valley, the U.S. Geological Survey, Monterey County Water Resources Agency, and the Salinas Valley Basin Groundwater Sustainability Agency developed a comprehensive suite of models that represent the Salinas Valley hydrogeologic system called the Salinas Valley System Model. The geologic framework is known as the Salinas Valley Geologic Framework and was developed to characterize the subsurface using various topographic and geologic data sources, including information on hydrogeologic units, their surfaces and extents, geologic structures, lithology, and elevations from borehole data and cross sections, as well as details on faults and existing models. The surface-water model is called the Salinas Valley Watershed Model and simulates the Salinas River watershed. Monthly surface-water inflows into the integrated hydrologic model domain were simulated using the Salinas Valley Watershed Model. The historical model uses historical climate data, water and land use data, and reservoir releases to simulate agricultural operations, including landscape water demands, diversions, and reclaimed wastewater. The operational model adds an embedded reservoir operations framework to the simulation of the historical model that allows specified operational rules to simulate reservoir releases and changes in reservoir storage. The operational model assumes current reservoir operations and constant land use, which differs from historical conditions. Thus, the operational model is a hypothetical baseline model that can be used by local water managers to evaluate and quantify potential benefits of water supply projects. Together, the geologic framework, watershed, historical, and operational models form a tool that can be used to simulate irrigated agriculture and associated reservoir operations of the integrated hydrologic system of the Salinas Valley.

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Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

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","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-05-12","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randy 0000-0002-9819-7141","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":216356,"corporation":false,"usgs":false,"family":"Hanson","given":"Randy","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":961356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hevesi, Joseph 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Earll, Marisa M. 0000-0002-4367-2013","orcid":"https://orcid.org/0000-0002-4367-2013","contributorId":353069,"corporation":false,"usgs":false,"family":"Earll","given":"Marisa","middleInitial":"M.","affiliations":[],"preferred":false,"id":961357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herbert, Deidre M. 0000-0001-8707-3218","orcid":"https://orcid.org/0000-0001-8707-3218","contributorId":344106,"corporation":false,"usgs":false,"family":"Herbert","given":"Deidre","middleInitial":"M.","affiliations":[],"preferred":false,"id":961358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jachens, Elizabeth R. 0000-0001-5885-8892","orcid":"https://orcid.org/0000-0001-5885-8892","contributorId":294690,"corporation":false,"usgs":true,"family":"Jachens","given":"Elizabeth","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961359,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275775,"text":"70275775 - 2026 - Toxicity of synergized permethrin residues in cattle dung to two temperate dung beetle species after application of common livestock pour-on treatment","interactions":[],"lastModifiedDate":"2026-05-19T15:19:53.977425","indexId":"70275775","displayToPublicDate":"2026-05-12T10:15:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10144,"text":"Agriculture, Ecosystems, and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of synergized permethrin residues in cattle dung to two temperate dung beetle species after application of common livestock pour-on treatment","docAbstract":"

Essential to pasture health, dung beetles (Coleoptera: Scarabaeidae) provide key ecosystem services across natural and managed rangeland habitats. Insecticide residues in livestock dung can negatively impact dung beetle populations, and synergized pyrethroid products are commonly used to combat resistant pest fly populations. Here, permethrin residues were measured by GC-MS/MS in fresh cattle feces on Days −2 (pretreatment), 4, 8, 16, and 30 after the label rate application of a formulated pour-on treatment (a.i. 5% permethrin, 5% piperonyl butoxide [PBO]). Mean (± SE) measured permethrin concentrations were the highest on Day 4 at 1400 ± 360 ng of permethrin/g of dung (dry weight) with a maximum concentration of 2200 ng/g. Approximately, 99% of applied permethrin was excreted by Day 16, with no detection by Day 30. Field-collected dung was used in a 48-hour toxicity test and with three treatment groups (control [Day −2], low risk [Day 16], and high risk [Day 4]). Two temperate dung beetle species were tested: Onthophagus pennsylvanicus Harold and Canthon chalcites Haldeman. Mean (± SE) mortality of O. pennsylvanicus was 28 ± 5% and 58 ± 13% for low and high risk treatments, respectively. Mean (± SE) mortality of C. chalcites was lower than O. pennsylvanicus with 10 ± 4% and 40 ± 10% for low and high risk treatments, respectively. PBO was detected on Days 4 and 8, and the permethrin:PBO ratio was 10:1 on Day 4, i.e., high risk treatment. Data presented highlight episodic risks of pour-on products and support threshold-based, integrated pest management approaches.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2026.110511","usgsCitation":"Cavallaro, M.C., Hladik, M.L., Soares, R., Anderson, M., and Hoback, W.W., 2026, Toxicity of synergized permethrin residues in cattle dung to two temperate dung beetle species after application of common livestock pour-on treatment: Agriculture, Ecosystems, and Environment, v. 408, 110511, 8 p., https://doi.org/10.1016/j.agee.2026.110511.","productDescription":"110511, 8 p.","ipdsId":"IP-186435","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":504530,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","county":"Lincoln County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-97.1428,35.9442],[-96.6228,35.9427],[-96.6228,35.7248],[-96.6233,35.6377],[-96.6247,35.5564],[-96.6253,35.4634],[-96.6254,35.4602],[-96.8274,35.4646],[-97.0381,35.4651],[-97.1437,35.4645],[-97.1452,35.6361],[-97.1436,35.7246],[-97.1438,35.8112],[-97.1433,35.8988],[-97.1405,35.8988],[-97.1409,35.9283],[-97.1428,35.9442]]]},\"properties\":{\"name\":\"Lincoln\",\"state\":\"OK\"}}]}","volume":"408","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavallaro, Michael C.","contributorId":371379,"corporation":false,"usgs":false,"family":"Cavallaro","given":"Michael","middleInitial":"C.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soares, Rodrigo","contributorId":371380,"corporation":false,"usgs":false,"family":"Soares","given":"Rodrigo","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Mikaela","contributorId":371382,"corporation":false,"usgs":false,"family":"Anderson","given":"Mikaela","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoback, W. Wyatt","contributorId":371383,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":961748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275667,"text":"sir20265023 - 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","interactions":[],"lastModifiedDate":"2026-05-15T17:44:04.18892","indexId":"sir20265023","displayToPublicDate":"2026-05-12T09:48:23","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":"2026-5023","displayTitle":"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","title":"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","docAbstract":"

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
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503
1608 Mountain View Road
Rapid City, SD 57702

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","tableOfContents":"","publishedDate":"2026-05-12","noUsgsAuthors":false,"publicationDate":"2026-05-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Medler, Colton J. 0000-0001-6119-5065","orcid":"https://orcid.org/0000-0001-6119-5065","contributorId":201463,"corporation":false,"usgs":true,"family":"Medler","given":"Colton","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Todd M. 0000-0001-8971-9502","orcid":"https://orcid.org/0000-0001-8971-9502","contributorId":218978,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275770,"text":"70275770 - 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","interactions":[],"lastModifiedDate":"2026-05-19T15:07:35.871337","indexId":"70275770","displayToPublicDate":"2026-05-12T09:47:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"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","docAbstract":"

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":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":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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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.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265009","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Morris, A.S., Baciocco, C.A., Dale, I.A., Codner, C., Kirby, E.A., Graves, G.M., Wagner, D.L., Fiorentino, E.G., LePera, A., Sanford, J.E., and Joy, L., 2026, Hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022: U.S. Geological Survey Scientific Investigations Report 2026–5009, 59 p., https://doi.org/10.3133/sir20265009.","productDescription":"Report: x, 59 p.; Data Release","numberOfPages":"74","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166599","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":504273,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119410.htm","linkFileType":{"id":5,"text":"html"}},{"id":502757,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5009/sir20265009.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5009 XML"},{"id":502756,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5009/sir20265009.pdf","size":"17.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5009"},{"id":502755,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5009/coverthb.jpg"},{"id":502754,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5009/images"},{"id":502758,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265009/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5009 HTML"},{"id":502759,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13S99PS","text":"USGS Data Release","linkHelpText":"- Soil-Water-Balance model and data used in the hydrogeologic framework and conceptual groundwater-flow model of the panhandle and northwest parts of the High Plains (Ogallala) aquifer in Oklahoma, 1998–2022"}],"country":"United States","state":"Colorado, Kansas, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103,\n 37.5\n ],\n [\n -99.5,\n 37.5\n ],\n [\n -99.5,\n 35.5\n ],\n [\n -103,\n 35.5\n ],\n [\n -103,\n 37.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
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","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2026-05-11","noUsgsAuthors":false,"publicationDate":"2026-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Morris, Amy S. 0000-0002-9847-5607","orcid":"https://orcid.org/0000-0002-9847-5607","contributorId":352415,"corporation":false,"usgs":true,"family":"Morris","given":"Amy S.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baciocco, Colin A. 0000-0002-9548-9077","orcid":"https://orcid.org/0000-0002-9548-9077","contributorId":352323,"corporation":false,"usgs":true,"family":"Baciocco","given":"Colin A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Ethan A. 0000-0001-7521-5477","orcid":"https://orcid.org/0000-0001-7521-5477","contributorId":352416,"corporation":false,"usgs":true,"family":"Kirby","given":"Ethan A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Graves, Grant M. 0000-0002-4010-3253","orcid":"https://orcid.org/0000-0002-4010-3253","contributorId":357612,"corporation":false,"usgs":true,"family":"Graves","given":"Grant M.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":959335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eric G. Fiorentino 0009-0002-3312-5005","orcid":"https://orcid.org/0009-0002-3312-5005","contributorId":351558,"corporation":false,"usgs":false,"family":"Eric G. Fiorentino","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":false,"id":959336,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LePera, Alan 0009-0007-2292-0413","orcid":"https://orcid.org/0009-0007-2292-0413","contributorId":369886,"corporation":false,"usgs":false,"family":"LePera","given":"Alan","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":959337,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sanford, Jon E.","contributorId":177763,"corporation":false,"usgs":false,"family":"Sanford","given":"Jon","email":"","middleInitial":"E.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":false,"id":959338,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Joy, Lara","contributorId":369887,"corporation":false,"usgs":false,"family":"Joy","given":"Lara","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":959339,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272659,"text":"70272659 - 2026 - Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut","interactions":[],"lastModifiedDate":"2026-05-11T15:47:26.101632","indexId":"70272659","displayToPublicDate":"2026-05-11T10:42:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Hazard potential of compound flooding from rainfall, storm surge, and groundwater in coastal New York and Connecticut","docAbstract":"

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":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water 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":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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","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":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"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}],"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

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2026-05-11","noUsgsAuthors":false,"plainLanguageSummary":"

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. 0009-0003-0028-2669","orcid":"https://orcid.org/0009-0003-0028-2669","contributorId":371398,"corporation":false,"usgs":false,"family":"Sternberg","given":"Mitch","middleInitial":"A.","affiliations":[{"id":88133,"text":"U.S. Fish and Wildlife Service, Alamo, TX","active":true,"usgs":false}],"preferred":false,"id":961776,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":214980,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Waller, Eric K. 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":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

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-05-07","noUsgsAuthors":false,"publicationDate":"2026-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kenworthy, Megan K. 0000-0001-7108-3016","orcid":"https://orcid.org/0000-0001-7108-3016","contributorId":304286,"corporation":false,"usgs":true,"family":"Kenworthy","given":"Megan","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":961172,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"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.

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"nation\":\"USA \"}}]}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211

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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.

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(NIDS) structure sites and control sites a ranch in the Los Planes, La Paz, Baja California Sur. This study design was modified from USGS Short Term Vegetation Response Study (Wilson et al. 2021) with the goal to quantify changes in species abundance/cover, structure, and composition. The Society of Ecological Restoration identifies 3 major ecosystem attributes of importance when assessing restoration projects, such as the installation of NIDS (Society for Ecological Restoration International Science & Policy Working Group 2004; Ruiz-Jaen and Mitchell Aide 2005). These attributes are vegetation structure, diversity, and ecological processes. Our protocol can be used to directly quantify vegetation structure and diversity and by collecting data over several years we can indirectly assess the ecohydrological processes associated with NIDS (Norman, Lal, et al. 2022).","language":"English","publisher":"Investigación en la Cuenca de los Planes","usgsCitation":"Wilson, N., 2026, Los Planes watershed vegetation monitoring: Standard operating procedures, 23 p.","productDescription":"23 p.","ipdsId":"IP-181580","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":504252,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cuencalosplanes.com/2026/05/07/los-planes-watershed-vegetation-monitoring/"},{"id":504260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California Sur","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Natalie R. 0000-0001-5145-1221","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":202534,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":961399,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275632,"text":"ofr20261009 - 2026 - Natomas basin giant gartersnake annual monitoring report 2024","interactions":[],"lastModifiedDate":"2026-05-08T17:28:23.65313","indexId":"ofr20261009","displayToPublicDate":"2026-05-06T13:04:36","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1009","displayTitle":"Natomas Basin Giant Gartersnake Annual Monitoring Report 2024","title":"Natomas basin giant gartersnake annual monitoring report 2024","docAbstract":"

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.

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Sacramento, California 95819

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","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-05-06","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Nguyen, Allison M. 0000-0003-4408-5934","orcid":"https://orcid.org/0000-0003-4408-5934","contributorId":364275,"corporation":false,"usgs":true,"family":"Nguyen","given":"Allison","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, Anna C. 0000-0001-8834-4542 ajordan@usgs.gov","orcid":"https://orcid.org/0000-0001-8834-4542","contributorId":200442,"corporation":false,"usgs":true,"family":"Jordan","given":"Anna C.","email":"ajordan@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":961209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Napolitano, Giancarlo R. 0009-0004-4269-6082","orcid":"https://orcid.org/0009-0004-4269-6082","contributorId":349884,"corporation":false,"usgs":true,"family":"Napolitano","given":"Giancarlo","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Macias, Daniel 0000-0002-4891-3656","orcid":"https://orcid.org/0000-0002-4891-3656","contributorId":349883,"corporation":false,"usgs":true,"family":"Macias","given":"Daniel","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schoenig, Elliot J. 0000-0002-7217-315X eschoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-7217-315X","contributorId":291497,"corporation":false,"usgs":true,"family":"Schoenig","given":"Elliot","email":"eschoenig@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961213,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reyes, Gabriel A. 0000-0001-9281-5300 greyes@usgs.gov","orcid":"https://orcid.org/0000-0001-9281-5300","contributorId":200440,"corporation":false,"usgs":true,"family":"Reyes","given":"Gabriel A.","email":"greyes@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":961212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":961206,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275428,"text":"fs20263004 - 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","interactions":[],"lastModifiedDate":"2026-05-11T17:00:49.148886","indexId":"fs20263004","displayToPublicDate":"2026-05-06T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3004","displayTitle":"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","title":"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","docAbstract":"

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
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2026-05-06","noUsgsAuthors":false,"publicationDate":"2026-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science 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0000-0002-0441-779X","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":228982,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":960808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paxton, Stanley T. 0000-0002-9098-1740 spaxton@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-1740","contributorId":739,"corporation":false,"usgs":true,"family":"Paxton","given":"Stanley","email":"spaxton@usgs.gov","middleInitial":"T.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960811,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pepin, Jeffrey D. 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0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960814,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lohr, Celeste D. 0000-0001-6287-9047 clohr@usgs.gov","orcid":"https://orcid.org/0000-0001-6287-9047","contributorId":209992,"corporation":false,"usgs":true,"family":"Lohr","given":"Celeste","email":"clohr@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 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0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960818,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":960819,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70275661,"text":"70275661 - 2026 - Inland recreational fisheries harvest far exceeds reported inland harvest in the United States","interactions":[],"lastModifiedDate":"2026-05-07T15:11:11.231577","indexId":"70275661","displayToPublicDate":"2026-05-06T10:02:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Inland recreational fisheries harvest far exceeds reported inland harvest in the United States","docAbstract":"

Recreational fisheries are important global contributors to food security, socio-cultural practices, and local and regional economies. However, inland recreational fisheries are often overlooked by policymakers due to a limited understanding of the magnitude of participation, harvest, and economic impact. Here, we used the U.S. Inland Creel and Angler Survey Catalog and catch and effort model (CreelCatch) and several assumptions to provide an initial estimate of the magnitude of total inland recreational fisheries harvest in the conterminous USA. The CreelCatch model projected fishing harvest across lakes, ponds, and reservoirs based on fishing effort, water body area, and regional effects. We estimated that recreational lake fisheries in the conterminous USA likely harvest 236,000–671,000 tonnes of fish per year, 17–48 times greater than total inland fisheries harvest reported to the United Nations. Inland recreational fisheries may warrant greater consideration for their contribution to national scale socioeconomics and impacts on fish stocks and ecosystems.

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