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Addressing urgent conservation issues, such as the drastic declines of North American migratory birds, requires creative, evidence-based, efficient, and collaborative approaches. The abundance of over 50% of monitored North American shorebird populations has declined by over 50% since 1980. To address these declines, we developed a partnership of scientists and practitioners called the Shorebird Science and Conservation Collective (hereafter the collective). The collective was founded to translate the combined findings of shorebird tracking data into on-the-ground conservation action. With advice from an advisory group, the collective acts as an intermediary whereby dedicated staff collate and analyze data contributions from scientists to support knowledge requests from conservation practitioners. In its first three years, data contributions from 75 organizations include over 7.1 million shorebird observations forming movement paths of 3420 individuals representing 36 species tracked across the Americas and have informed 18 conservation projects spanning education, land and species management, land conservation, and policy requests. Others engaged in translational science from big data could consider similar knowledge-sharing models that prioritize usable data products, foster collaborative engagement between science experts and practitioners, build focused communities around topics or taxonomic groups, and employ a proof-of-concept phase to develop scalable solutions while making progress toward long-term funding to sustain impact. As the volume of scientific data continues to grow, intermediaries, such as the collective, can be vital liaisons to rapidly integrate and interpret research to support conservation action. Dedicated to the memory of Shiloh Schulte and his conservation achievements for shorebirds.

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The Mountain Pass carbonatite stock hosts a world-class rare earth element deposit and may be classified as a carbonate-sulfate igneous rock, as it contains on average > 50 volume percent carbonate minerals and 20 to 30 volume percent sulfate minerals. The sulfates range in composition from barite to celestine and locally occur with sparse sulfide minerals. We investigate the origin of sulfur enrichment and the occurrence of sulfur-bearing minerals in the Mountain Pass carbonatite with in-situ sulfur isotope and mineral chemistry. Barite cores with δ34S of 1 to 3‰ do not coexist with sulfides, whereas celestine rims with δ34S of > 3‰ are associated with sulfides with δ34S < -10‰. We propose a model in which sulfur-bearing sediments were subducted during episodes of plate convergence in the Mojave Province that preceded Mountain Pass magmatism. Metasomatism of the overlying mantle by melts derived from the subducted sediments generated an unusually carbon- and sulfur-rich source to yield carbonatite magmas. Sulfur from primary carbonatite magmas and ~ 1 to 7% sulfur from subducted sediment melts yielded a slightly enriched δ34S composition (relative to depleted mantle δ34S of -1‰) for early crystallizing barite. Celestine rims on magmatic barite cores formed at low, hydrothermal temperatures (< 350 °C) based on S isotope thermometry for equilibrium celestine-galena and celestine-pyrite pairs. The sparse sulfides in the carbonatite stock are not in equilibrium with the primary barite cores and therefore do not permit S isotope thermometry estimates of magmatic temperatures. The S/Se ratios of sulfide minerals (> 3,400) typically exceed primitive mantle values (S/Se of 3,340), also consistent with their derivation from hydrothermal fluids. Trace occurrences of sulfide and sulfate minerals in alkaline silicate stocks related to the carbonatite stock have similar δ34S compositions and yield similarly low formation temperatures, suggesting regionally extensive and chemically similar sulfur-bearing hydrothermal fluids that imparted lithologically diverse rocks with a consistent sulfur isotope fingerprint.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-026-01438-3","usgsCitation":"Benson, E.K., Watts, K., Pribil, M.J., Thompson, J.M., and Lowers, H.A., 2026, Insights into Mountain Pass carbonatite formation from in-situ sulfur isotopes and geochemistry of sulfate and sulfide minerals: Mineralium Deposita, 25 p., https://doi.org/10.1007/s00126-026-01438-3.","productDescription":"25 p.","ipdsId":"IP-179323","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501676,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-026-01438-3","text":"Publisher Index Page"},{"id":501457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Mountain Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.24550849872043,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 34.54590209348751\n ],\n [\n -114.62637079295725,\n 35.963211671328224\n ],\n [\n -115.24550849872043,\n 35.963211671328224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957626,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Jay M. 0000-0003-3322-0870","orcid":"https://orcid.org/0000-0003-3322-0870","contributorId":329664,"corporation":false,"usgs":true,"family":"Thompson","given":"Jay","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":957627,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957628,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70275038,"text":"70275038 - 2026 - Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","interactions":[{"subject":{"id":70262124,"text":"70262124 - 2025 - Local water use and climate drive water stress over the conterminous United States with substantial impacts to fish species of conservation concern","indexId":"70262124","publicationYear":"2025","noYear":false,"title":"Local water use and climate drive water stress over the conterminous United States with substantial impacts to fish species of conservation concern"},"predicate":"SUPERSEDED_BY","object":{"id":70275038,"text":"70275038 - 2026 - Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","indexId":"70275038","publicationYear":"2026","noYear":false,"title":"Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States"},"id":1}],"lastModifiedDate":"2026-04-13T15:05:16.761878","indexId":"70275038","displayToPublicDate":"2026-03-20T10:01:07","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":"Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States","docAbstract":"

Consistent, large-scale estimates of water availability are needed to identify and avoid potential conflicts among human and ecosystem uses of water. We present an assessment of water limitation, defined as the monthly balance (difference) between water supply (ws) and human consumptive water use (wc), for the conterminous United States (CONUS) during water years 2010–2020. We estimate that 26.7 million Americans, 8% of CONUS population, live in areas with chronic high or severe water limitation. Although ws greatly exceeds wc at the CONUS scale, water is limited locally or regionally due to spatial and temporal patterns in climate and wc. Our water limitation metric, the monthly supply and use index (SUI), peaked in 2012 during a widespread drought when 38% of the CONUS land area experienced elevated water stress. The central and Southwestern U.S. experienced the highest SUI due to the combination of low ws and high wc, especially for irrigation. Spatial overlays of SUI and fish habitat ranges, including those of conservation concern, revealed that several species had notable proportions of their habitat exposed to high or severe water limitation during spawning season over the modeled time period, especially the Arkansas River shiner. ws was calculated from two CONUS, physically-based, hydrologic models while wc was calculated from three CONUS models of water use for crop irrigation, thermoelectric power generation, and public supply. The ws and wc values were routed through a stream network and compared to calculate water limitation and SUI for human populations and fish species at the scale of 12-digit hydrologic unit codes. Evaluation of water availability at higher spatial and temporal resolution promotes more comprehensive analyses of the drivers of water availability and can be combined with complementary studies of water quality and water limiting thresholds to better understand the limitations on water availability.

","language":"English","publisher":"IOP Science","doi":"10.1088/3033-4942/ae4d7e","usgsCitation":"Stets, E.G., Cashman, M.J., Miller, O.L., Powlen, K., Martinez, A., Padilla, J., and Archer, A.A., 2026, Local water use and climate variability drive water stress and alter ecological flows over the conterminous United States: Environmental Research: Water, v. 2, 025001, 18 p., https://doi.org/10.1088/3033-4942/ae4d7e.","productDescription":"025001, 18 p.","ipdsId":"IP-183005","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502998,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae4d7e","text":"Publisher Index Page"},{"id":502745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n 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The objective of this study is to provide a framework to reconcile streamflow permanence products that provide information on whether a stream is perennial or nonperennial. Accurate classification of streams as perennial or nonperennial is important for a variety of land and water resource management decisions. However, resource managers are challenged with how to reconcile different streamflow permanence information to determine if it is sufficient to avoid field verification, which can be prohibitively costly and time consuming. The study evaluates two datasets for the Pacific Northwest Region, U.S., the National Hydrography Dataset Plus High Resolution (NHDPlus HR) hydrographic classification and the PRObability of Streamflow PERmanence (PROSPER) model output, which differ in structure, output type, and temporal and spatial resolution. The framework includes a two-level evaluation that involves assessing agreement between the two datasets and evaluating the reliability of the two datasets. Summarized at a regional scale, the two datasets agree for 68% of flowlines with higher agreement for nonperennial streams. PROSPER nonperennial stream classifications may be considered generally reliable in arid regions relative to other ecoregions within the Pacific Northwest study area but less reliable for high elevation mountain regions and larger streams and rivers. More than 75% of NHDPlusHR classifications may be considered reliable when evaluating reliability based on approximate climate conditions associated with the year that the NHDPlus HR classification was assigned. The decision procedure is reproducible, flexible to varying criteria of end user applications, and is intended to help provide cost saving opportunities for land managers by providing information for more strategic field verification of streamflow class determination based on available yet imperfect data sources.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2026.129219","usgsCitation":"Jaeger, K., Wherry, S., Scott, M., Martinez, A., Sando, R., and Thaler, E.A., 2026, Lost in translation: Reconciling different streamflow permanence data products: Journal of Environmental Management, v. 404, 129219, 16 p., https://doi.org/10.1016/j.jenvman.2026.129219.","productDescription":"129219, 16 p.","ipdsId":"IP-171408","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":502472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2026.129219","text":"Publisher Index Page"},{"id":502204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.61411371322819,\n 42.48015964149741\n ],\n [\n -109.80879883110487,\n 43.08517318924734\n ],\n [\n -109.30997046456858,\n 44.42695083041454\n ],\n [\n -110.92158494879246,\n 44.716300429825424\n ],\n [\n -112.12998894052598,\n 44.57895782106192\n ],\n [\n -113.0062121953296,\n 44.53908996424485\n ],\n [\n -113.6469052474063,\n 45.34062107705117\n ],\n [\n -111.6973042239949,\n 45.971636509700005\n ],\n [\n -111.34427633105125,\n 46.66972650859822\n ],\n [\n -111.98955737152903,\n 49.05055499659551\n ],\n [\n -123.18356088234091,\n 49.077006592630624\n ],\n [\n -123.25034384567857,\n 48.35813749860927\n ],\n [\n -124.64640711985663,\n 48.40043775011347\n ],\n [\n -124.73241530729246,\n 48.11693596006333\n ],\n [\n -124.00596503462376,\n 45.580464515459255\n ],\n [\n -124.62385269314754,\n 42.99221096559535\n ],\n [\n -124.42327899775395,\n 41.85455838261578\n ],\n [\n -123.48391866805574,\n 41.83587189119251\n ],\n [\n -121.63294692012036,\n 42.763277725715966\n ],\n [\n -121.15383802260035,\n 42.979871447697974\n ],\n [\n -119.70140614249098,\n 41.80044784384427\n ],\n [\n -118.44829863182443,\n 42.244268281392124\n ],\n [\n -117.69982208376771,\n 41.43572768805927\n ],\n [\n -113.65133618510757,\n 41.68856902212272\n ],\n [\n -112.61411371322819,\n 42.48015964149741\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"404","noUsgsAuthors":false,"publicationDate":"2026-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jaeger, Kristin 0000-0002-1209-8506 kjaeger@usgs.gov","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":196686,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","email":"kjaeger@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":140159,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Malia H. 0000-0002-1393-1512","orcid":"https://orcid.org/0000-0002-1393-1512","contributorId":350909,"corporation":false,"usgs":true,"family":"Scott","given":"Malia H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martinez, Audrey Marie 0000-0002-5828-1146","orcid":"https://orcid.org/0000-0002-5828-1146","contributorId":350912,"corporation":false,"usgs":true,"family":"Martinez","given":"Audrey Marie","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958743,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sando, Roy 0000-0003-0704-6258","orcid":"https://orcid.org/0000-0003-0704-6258","contributorId":3874,"corporation":false,"usgs":true,"family":"Sando","given":"Roy","email":"","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":958735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thaler, Evan A.","contributorId":189865,"corporation":false,"usgs":false,"family":"Thaler","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":958744,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274581,"text":"70274581 - 2026 - Constraining source and path effects of large magnitude earthquakes using ground motion simulations","interactions":[],"lastModifiedDate":"2026-04-01T17:30:17.899683","indexId":"70274581","displayToPublicDate":"2026-03-19T10:24:20","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Constraining source and path effects of large magnitude earthquakes using ground motion simulations","docAbstract":"

The purpose of this study is to use ground‐motion simulations to investigate ways in which source and path effects for large‐magnitude earthquakes can be represented in nonergodic ground‐motion models (GMMs). To achieve this, we designed a ground‐motion study in the San Francisco Bay Area that includes earthquakes with a broad range of magnitudes distributed uniformly on a fault plane, and sites covering a large range of rupture distances and azimuths. After running a large suite of kinematic simulations (magnitude 4–7), we then develop a nonergodic GMM with the simulated data. We find that trends in the within‐site residuals are affected significantly by the earthquake radiation pattern, rupture directivity, and slip patterns. Next, we modify an existing rupture directivity model to fit and remove the observed radiation pattern and rupture directivity from the residuals. We also minimize the contributions of slip patterns by averaging the within‐site residuals among multiple source realizations. Finally, after removing the source effects from the within‐site residuals, we compare the path effects computed with different magnitude groups using two approaches. The first approach only considers the small events that have the same shortest path to a site as the large events, whereas the second approach considers all small events on the fault plane. The results indicate that it is difficult to satisfactorily approximate the path effects of large events with those of small events using either approach, at least in the case of simulations.

","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0120250161","usgsCitation":"Meng, X., Graves, R., and Goulet, C.A., 2026, Constraining source and path effects of large magnitude earthquakes using ground motion simulations: Bulletin of the Seismological Society of America, 19 p., https://doi.org/10.1785/0120250161.","productDescription":"19 p.","ipdsId":"IP-180707","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.17098655449547,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 36.13153010429927\n ],\n [\n -120.37323428562047,\n 39.4081868475823\n ],\n [\n -124.17098655449547,\n 39.4081868475823\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Meng, Xiaofeng","contributorId":350798,"corporation":false,"usgs":false,"family":"Meng","given":"Xiaofeng","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":958367,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goulet, Christine A 0000-0002-7643-357X","orcid":"https://orcid.org/0000-0002-7643-357X","contributorId":336587,"corporation":false,"usgs":true,"family":"Goulet","given":"Christine","email":"","middleInitial":"A","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":958369,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276384,"text":"70276384 - 2026 - Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin","interactions":[],"lastModifiedDate":"2026-06-03T14:06:16.933806","indexId":"70276384","displayToPublicDate":"2026-03-19T08:55:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin","docAbstract":"

Groundwater depletion for agricultural irrigation poses significant environmental and economic challenges. This study introduces a proof-of-concept that combines hydro-economic modeling, scenario-based modeling, and multi-objective optimization to manage pumping curtailment in an over-allocated basin in the western United States. Three optimization scenarios were evaluated, each offering different degrees of management flexibility. Results reveal that scenarios with finer spatial resolution achieved greater environmental benefits per unit profit loss. Additionally, strategies allowing fractional reductions in curtailed wells–rather than complete shutdowns based on water rights seniority–substantially improved efficiency, highlighting the value of increased decision-making flexibility. Although scenario testing can aid stakeholder engagement and strategy exploration, multi-objective optimization provides a systematic framework to quantify tradeoffs between competing objectives. This combined approach demonstrates promise for building consensus and supporting the design of sustainable water management strategies that balance agricultural livelihoods with ecosystem preservation.

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70051","usgsCitation":"Markovich, K.H., Fienen, M., Corson-Dosch, N., Cecile Coulon, White, J., and Gingerich, S., 2026, Multi-objective optimization of a hydro-economic model in an over-allocated agricultural basin: Groundwater, v. 64, no. 3, p. 278-294, https://doi.org/10.1111/gwat.70051.","productDescription":"17 p.","startPage":"278","endPage":"294","ipdsId":"IP-177124","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":505049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70051","text":"Publisher Index Page"},{"id":504958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Harney Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.66994789891172,\n 44.30821146835248\n ],\n [\n -117.67673039786303,\n 44.30821146835248\n ],\n [\n -117.67673039786303,\n 42.24886285412916\n ],\n [\n -119.66994789891172,\n 42.24886285412916\n ],\n [\n -119.66994789891172,\n 44.30821146835248\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Markovich, Katherine H. 0000-0002-4455-8255","orcid":"https://orcid.org/0000-0002-4455-8255","contributorId":221065,"corporation":false,"usgs":true,"family":"Markovich","given":"Katherine","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":true,"id":962277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecile Coulon 0000-0001-9722-9976","orcid":"https://orcid.org/0000-0001-9722-9976","contributorId":371714,"corporation":false,"usgs":false,"family":"Cecile Coulon","affiliations":[{"id":49206,"text":"INTERA Incorporated","active":true,"usgs":false}],"preferred":false,"id":962280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Jeremy T. 0000-0002-4950-1469","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":248830,"corporation":false,"usgs":false,"family":"White","given":"Jeremy T.","affiliations":[{"id":50032,"text":"GNS New Zealand","active":true,"usgs":false}],"preferred":false,"id":962281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gingerich, Stephen 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":220301,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962282,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275328,"text":"70275328 - 2026 - Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)","interactions":[],"lastModifiedDate":"2026-04-29T14:41:37.77612","indexId":"70275328","displayToPublicDate":"2026-03-19T07:31:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018)","docAbstract":"

Through the U.S. Great Lakes Restoration Initiative, a 10-year, multiagency chemical monitoring effort was undertaken across the Great Lakes. In this effort, 586 chemicals were monitored and 334 were detected in grab/composite water samples. To help inform potential future actions, a stepwise prioritization framework was used to identify compounds for which publicly accessible water quality guidelines or effects information suggested there was potential aquatic ecotoxicity. Because water quality guidelines were only available for some chemicals, this framework used apical toxicity data collated from publicly accessible databases (e.g., the ECOTOXicology Knowledgebase) and alternative data, including literature-derived non-apical effect concentrations, in vitro bioactivities from high-throughput screening, and modeled ecotoxicity. To account for the diverse levels of confidence in these data, chemicals were prioritized within specific action categories, which suggested potential management or experimental activities that may be considered based on the types of data available for each compound. Overall, 11 detected chemicals were identified as high priority in different action categories. This included four chemicals prioritized for environmental management or targeted risk assessment, three chemicals prioritized for effects-based monitoring, one chemical prioritized for apical effects assessment, and three chemicals targeted for non-apical effects evaluation. This framework also identified 164 low-priority chemicals, among which more than 50% were prioritized based on water quality guidelines or apical effect concentrations (thus could be considered low priority for future risk assessment or management activities). Results aim to help regulatory agencies, environmental managers, and other stakeholders focus available resources on carrying out monitoring, experimental, and risk assessments for the chemicals that display the greatest potential to adversely impact Great Lakes ecosystems.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf069","usgsCitation":"Maloney, E.M., Corsi, S., Pronschinske, M.A., DeCicco, L.A., Frisch, J.R., Fuller, N., Baldwin, A.K., Kimbrough, K., Edwards, M., Hummel, S.L., Vinas, N.G., and Villeneuve, D.L., 2026, Retrospective stepwise prioritization of chemicals detected in Great Lakes tributaries (2008–2018): Environmental Toxicology and Chemistry, v. 44, no. 7, p. 2048-2069, https://doi.org/10.1093/etojnl/vgaf069.","productDescription":"22 p.","startPage":"2048","endPage":"2069","ipdsId":"IP-167131","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":503779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/etojnl/vgaf069","text":"Publisher Index Page"},{"id":503621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United 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This report presents a new three-dimensional geologic framework model (GFM) of the northern Great Plains region, encompassing parts of Montana, North Dakota, South Dakota, and Wyoming. The model provides a regionally consistent, geographic information system (GIS)-ready representation of Phanerozoic sedimentary strata, major fault systems, and Precambrian basement geometry across two sedimentary basins and adjacent uplifts. More than 300,000 geologic and geophysical data inputs were synthesized to model 41 stratigraphic horizons and 47 faults, yielding an internally coherent, sealed-volume interpretation of the subsurface. The modeling workflow developed for this study demonstrates an efficient and scalable approach for constructing basin-to regional-scale GFMs in geologically complex and data-variable settings. Although model fidelity varies with data density and quality, the resulting geometry is broadly consistent with 1:500,000-scale geologic mapping and highlights areas where additional geologic study is most needed. The three-dimensional GFM provides a foundational framework to support groundwater, energy, and mineral resource assessments, and offers a transferable methodology for potential future U.S. Geological Survey efforts to build large-area subsurface models in underexplored regions of the United States.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265127","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Spangler, L.R., 2026, A three-dimensional geologic framework model of the northern Great Plains region of Montana, North Dakota, South Dakota, and Wyoming, USA: U.S. Geological Survey Scientific Investigations Report 2026–5127, 51 p., https://doi.org/10.3133/sir20265127.","productDescription":"Report: viii, 51 p.; 7 Plates: 40.15 x 40.82 inches: 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-169097","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501224,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2026/5127/sir20265127_plate05.pdf","text":"Plate 5","size":"4.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5127 Plate 5","linkHelpText":"Elevation from Sea Level for 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Director, Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, MS-980
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2026-03-18","noUsgsAuthors":false,"plainLanguageSummary":"

This report presents a new three-dimensional map of underground rock layers and faults in the northern Great Plains, covering parts of Montana, North Dakota, South Dakota, and Wyoming. The model was built from thousands of data points collected from wells, maps, and geophysical surveys. It shows the shape, depth, and thickness of multiple rock layers—many of which are important for water, energy, and mineral resources. The map helps scientists, land managers, and decisionmakers better understand the region’s subsurface geology. This work also shows that reliable geologic models can be made even in areas with limited data, using a repeatable method that can be applied in other underexplored areas.

","publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Spangler, Leland R. 0000-0002-2223-7047","orcid":"https://orcid.org/0000-0002-2223-7047","contributorId":295310,"corporation":false,"usgs":true,"family":"Spangler","given":"Leland","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":957093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70274325,"text":"70274325 - 2026 - Deep critical zone controls on shallow landslides","interactions":[],"lastModifiedDate":"2026-03-26T19:40:22.332984","indexId":"70274325","displayToPublicDate":"2026-03-18T12:36:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Deep critical zone controls on shallow landslides","docAbstract":"The deep critical zone (CZ) has long been recognized for its importance in influencing shallow landslides but was not considered feasible to include in slope stability models at the watershed scale. In this study, we demonstrate that simple approximations of the CZ in a fully coupled hydrologic and soil slope stability model can effectively capture the location, timing, and likely size of shallow landslides. To achieve this, we use coupled, process-based models that incorporate the effects of 1) deep CZ structures, 2) three-dimensional transient hydrology, and 3) multidimensional slope stability, calibrated with data from an intensively monitored field site. Our results show that the hydrologically active deep CZ guides groundwater flow, influencing where it drains from or exfiltrates to the soil mantle, producing distinct patterns of soil saturation and seepage forces at the soil-bedrock boundary. Deep conductive weathered critical zone drains the soil mantle, reducing the likelihood of destabilizing pore pressures, while the downslope thinning of the CZ forces groundwater to the surface. This creates localized instability and a tendency for similar-sized landslides across the landscape. In contrast, the absence of conductive weathered bedrock results in more widespread destabilizing pore pressures, leading to larger landslides and the likelihood of landslides earlier in a storm than in landscapes underlain by a deep CZ. Our findings suggest that first-order variations of deep CZ can provide physical explanations for variations observed in the susceptibility, magnitude, and timing of shallow landslides, and that CZ structure may be inferred from patterns and timing of landsliding.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2524542123","usgsCitation":"Moon, S., Formetta, G., Higa, J.T., Busti, R., Bellugi, D.G., Milledge, D.G., Ebel, B., and Dietrich, W.E., 2026, Deep critical zone controls on shallow landslides: Proceedings of the National Academy of Sciences, v. 123, no. 12, e2524542123, 12 p., https://doi.org/10.1073/pnas.2524542123.","productDescription":"e2524542123, 12 p.","ipdsId":"IP-159353","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":502037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2524542123","text":"Publisher Index Page"},{"id":501638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"12","noUsgsAuthors":false,"publicationDate":"2026-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Moon, Seulgi 0000-0001-5207-1781","orcid":"https://orcid.org/0000-0001-5207-1781","contributorId":264625,"corporation":false,"usgs":false,"family":"Moon","given":"Seulgi","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":957885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Formetta, Giuseppe 0000-0002-0252-1462","orcid":"https://orcid.org/0000-0002-0252-1462","contributorId":210296,"corporation":false,"usgs":false,"family":"Formetta","given":"Giuseppe","email":"","affiliations":[{"id":38100,"text":"Department of Civil and Environmental Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":957886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Higa, Justin T.","contributorId":367913,"corporation":false,"usgs":false,"family":"Higa","given":"Justin","middleInitial":"T.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":957887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busti, Riccardo","contributorId":367914,"corporation":false,"usgs":false,"family":"Busti","given":"Riccardo","affiliations":[{"id":25322,"text":"University of Trento","active":true,"usgs":false}],"preferred":false,"id":957888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellugi, Dino G.","contributorId":367915,"corporation":false,"usgs":false,"family":"Bellugi","given":"Dino","middleInitial":"G.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957889,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Milledge, David G.","contributorId":367916,"corporation":false,"usgs":false,"family":"Milledge","given":"David","middleInitial":"G.","affiliations":[{"id":33636,"text":"Newcastle University","active":true,"usgs":false}],"preferred":false,"id":957890,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":957891,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dietrich, William E.","contributorId":367923,"corporation":false,"usgs":false,"family":"Dietrich","given":"William","middleInitial":"E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":957892,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262911,"text":"70262911 - 2026 - Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach","interactions":[],"lastModifiedDate":"2026-04-27T15:45:42.25143","indexId":"70262911","displayToPublicDate":"2026-03-17T10:35:11","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach","docAbstract":"

Sea-level rise and changing patterns of storminess associated with climate change are expected to increase the frequency and severity of compound coastal flooding events, posing significant challenges to coastal communities in enhancing preparedness and adaptation strategies. This work presents a hybrid stochastic approach for the probabilistic assessment of compound coastal flooding. The stochastic climate emulator TESLA is employed to generate synthetic time series of oceanographic and hydrologic conditions, incorporating meteorologic-oceanographic drivers such as sea-level anomalies, tropical cyclones, storm surge, tides, wind-waves, and precipitation. These time series are downscaled using a hybrid statistical-numerical framework that integrates surrogate models of high-fidelity hydrodynamic simulators (e.g., Delft3D, SWAN, SWASH, SFINCS). The framework is applied to southern O’ahu, Hawai’i, to simulate flood exposure under present climate as well as various sea-level rise scenarios and climate projections. The framework is designed to support decision-making processes by facilitating the participatory development of dynamic adaptation pathways. By allowing for rapid evaluation of flood risks, the approach provides valuable insights for building resilient adaptation strategies for vulnerable coastal communities.

","conferenceTitle":"Coastal Dynamics 2025","conferenceDate":"April 7-11, 2025","conferenceLocation":"Aveiro, Portugal","language":"English","publisher":"Springer","usgsCitation":"Ricondo, A., Cagigal, L., Storlazzi, C.D., Merrifield, M.A., Mendez, F.J., and Ruggiero, P.R., 2026, Advancing compound coastal flood modeling on aouthern O’ahu, Hawai’i: A hybrid stochastic approach, Coastal Dynamics 2025, Aveiro, Portugal, April 7-11, 2025, p. 3-7.","productDescription":"5 p.","startPage":"3","endPage":"7","ipdsId":"IP-167977","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481398,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/chapter/10.1007/978-3-032-15477-4_1"},{"id":503552,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"southern Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.16114226446115,\n 21.421379675830508\n ],\n [\n -157.6362987942188,\n 21.421379675830508\n ],\n [\n -157.6362987942188,\n 21.249560670445135\n ],\n [\n -158.16114226446115,\n 21.249560670445135\n ],\n [\n -158.16114226446115,\n 21.421379675830508\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"editors":[{"text":"Coelho, Carlos","contributorId":370435,"corporation":false,"usgs":false,"family":"Coelho","given":"Carlos","affiliations":[],"preferred":false,"id":960343,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hallin, Caroline","contributorId":370436,"corporation":false,"usgs":false,"family":"Hallin","given":"Caroline","affiliations":[],"preferred":false,"id":960344,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Sancho, Francisco","contributorId":370437,"corporation":false,"usgs":false,"family":"Sancho","given":"Francisco","affiliations":[],"preferred":false,"id":960345,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Silva, Paulo A.","contributorId":370438,"corporation":false,"usgs":false,"family":"Silva","given":"Paulo","middleInitial":"A.","affiliations":[],"preferred":false,"id":960346,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Ricondo, Alba 0000-0002-4703-8220","orcid":"https://orcid.org/0000-0002-4703-8220","contributorId":306058,"corporation":false,"usgs":false,"family":"Ricondo","given":"Alba","email":"","affiliations":[{"id":39072,"text":"U.Cantabria","active":true,"usgs":false}],"preferred":false,"id":925267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagigal, Laura 0000-0001-5384-6382","orcid":"https://orcid.org/0000-0001-5384-6382","contributorId":229418,"corporation":false,"usgs":false,"family":"Cagigal","given":"Laura","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":925268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Merrifield, Mark A.","contributorId":40525,"corporation":false,"usgs":true,"family":"Merrifield","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":925270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendez, Fernando J.","contributorId":177514,"corporation":false,"usgs":false,"family":"Mendez","given":"Fernando","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ruggiero, Peter R","contributorId":221035,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","email":"","middleInitial":"R","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":925272,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70266015,"text":"70266015 - 2026 - Beach nourishment morphodynamics in a high-energy U.S. West Coast environment","interactions":[],"lastModifiedDate":"2026-06-05T15:28:20.849184","indexId":"70266015","displayToPublicDate":"2026-03-17T10:23:18","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Beach nourishment morphodynamics in a high-energy U.S. West Coast environment","docAbstract":"

Dredged sediment from engineered inlets can be used to nourish coastlines adjacent to these inlets, serving as a beneficial alternative to offshore disposal. Effective strategies for beneficial use of dredged sediment, however, rely on understanding of local sediment transport. A beach nourishment project utilizing dredged sand was carried out at a highly energetic beach north of the Columbia River mouth (Washington, USA). Within two weeks of placement, during a moderately energetic period, a large part of the beach nourishment had eroded. To predict local hydro- and morphodynamics there, a XBeach model was used, validated with field observations of nearshore hydrodynamics and morphology. It showed that while the subaerial nourishment eroded rapidly, it is likely that the sediment is deposited around the inner bar and is still available to the morphological system of Benson Beach. Additionally, model simulations suggest the nourishment provided a buffer against erosion of the local dune system during its presence.

","conferenceTitle":"Coastal Dynamics 2025","conferenceDate":"April 7-11, 2025","conferenceLocation":"Aveiro, Portugal","language":"English","doi":"10.1007/978-3-032-15477-4_29","usgsCitation":"de Beer, A., Stevens, A.W., McCall, R.T., Reyns, J., and Moritz, H.R., 2026, Beach nourishment morphodynamics in a high-energy U.S. West Coast environment, Coastal Dynamics 2025, v. 2, Aveiro, Portugal, April 7-11, 2025, p. 183-188, https://doi.org/10.1007/978-3-032-15477-4_29.","productDescription":"6 p.","startPage":"183","endPage":"188","ipdsId":"IP-173713","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":505464,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-032-15477-4_29","text":"Publisher Index Page"},{"id":505095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River mouth","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.02841863416538,\n 46.328447253966715\n ],\n [\n -124.11723060875087,\n 46.328447253966715\n ],\n [\n -124.11676783211541,\n 46.247817658869394\n ],\n [\n -124.02818884162915,\n 46.247817658869394\n ],\n [\n -124.02841863416538,\n 46.328447253966715\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2026-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"de Beer, Anne","contributorId":353679,"corporation":false,"usgs":false,"family":"de Beer","given":"Anne","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":934324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":934325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":934326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reyns, Johan","contributorId":224304,"corporation":false,"usgs":false,"family":"Reyns","given":"Johan","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":934327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moritz, Hans R.","contributorId":210776,"corporation":false,"usgs":false,"family":"Moritz","given":"Hans","email":"","middleInitial":"R.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":934328,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274264,"text":"70274264 - 2026 - Sackung at Bald Eagle ridge, central Colorado: An updated interpretation of ridge-spreading movement, structures, and mechanisms from 50 years (1975–2025) of U.S. Geological Survey research","interactions":[],"lastModifiedDate":"2026-03-24T17:32:55.792259","indexId":"70274264","displayToPublicDate":"2026-03-17T08:03:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sackung at Bald Eagle ridge, central Colorado: An updated interpretation of ridge-spreading movement, structures, and mechanisms from 50 years (1975–2025) of U.S. Geological Survey research","docAbstract":"

Slow gravitational failures of mountain peaks and ridges are poorly understood. Herein, we report on 50 years of studies at a slowly spreading castellate ridge in the Sawatch Range in central Colorado. The orientations of geomorphic-structural features indicate that the fractured Precambrian granitic rock underlying the ridge has extended and spread northwestward toward the formerly glacier-covered Busk Creek valley. Results from surveying, field-based geomorphic-structural mapping using lidar, rock mass quality measurements, a passive seismic survey, and satellite radar provide a major update to research started by U.S. Geological Survey researchers in the 1970s and 1980s. New insights include a recognition that the entire ridge has slowly moved by concurrent sliding along an inferred northwest dipping, compound basal-slip surface (or zone), and through the formation of multiple grabens by normal faulting and flexural toppling along sets of pre-existing fractures that dip moderately (∼45°) to the southeast. We were unable to distinguish the presence of a sudden and strong contrast in seismic velocity across the inferred slip surface. Movement during the 50-year study period has been episodic and gradually decreasing, in correspondence with decreasing cumulative annual precipitation and increasing mean annual air temperatures. The fastest moving area, just upslope from the glacier trimline, had an average horizontal velocity of 3–4 mm/yr. Evidence suggests that movement started as a paraglacial response mechanism, but because of the site’s proximity to the Rio Grande Rift, we cannot exclude earthquake shaking as a mechanism for initiation or enhancement of slope movement. An estimate of longer-term horizontal movement from the exposed basal-slip surface at the uphill side of the ridgetop graben is ∼1.1 mm/yr for the 13–14 ky post-glacial period.

Broad implications of our work are that: (1) long-term measurements (decades or longer) of slope movement can add insights into how sackungen form and evolve through time; (2) the identification of thrust faults and toes in zones of compression near valley bottoms can be crucial for interpreting sackung failure mechanisms, and (3) the use of passive-seismic techniques to identify the depth to a slip surface may not be successful in granitic terrain dominated by planar fractures and subtle changes in rock-mass characteristics.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2026.108666","usgsCitation":"Coe, J.A., Avdievitch, N.N., Allstadt, K.E., Collins, E.A., Jensen, E.K., Hoch, O.J., Schaefer, L.N., Ruleman, C.A., Godt, J.W., and Matthews, V., 2026, Sackung at Bald Eagle ridge, central Colorado: An updated interpretation of ridge-spreading movement, structures, and mechanisms from 50 years (1975–2025) of U.S. Geological Survey research: Engineering Geology, v. 366, 108666, 32 p., https://doi.org/10.1016/j.enggeo.2026.108666.","productDescription":"108666, 32 p.","ipdsId":"IP-156535","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":501686,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2026.108666","text":"Publisher Index Page"},{"id":501479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Leadville","otherGeospatial":"Sawatch Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.23868289938606,\n 39.19838581484649\n ],\n [\n -107.23868289938606,\n 38.85875489036053\n ],\n [\n -106.39077877905079,\n 38.85875489036053\n ],\n [\n -106.39077877905079,\n 39.19838581484649\n ],\n [\n -107.23868289938606,\n 39.19838581484649\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"366","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":200619,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":957450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avdievitch, Nikita N. 0000-0002-2507-2962","orcid":"https://orcid.org/0000-0002-2507-2962","contributorId":225492,"corporation":false,"usgs":true,"family":"Avdievitch","given":"Nikita","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Elaine A. 0000-0002-5475-4022","orcid":"https://orcid.org/0000-0002-5475-4022","contributorId":270255,"corporation":false,"usgs":true,"family":"Collins","given":"Elaine","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Erin K. 0000-0002-2797-0694","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":367831,"corporation":false,"usgs":true,"family":"Jensen","given":"Erin","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoch, Olivia J. 0000-0002-1327-7100","orcid":"https://orcid.org/0000-0002-1327-7100","contributorId":306177,"corporation":false,"usgs":true,"family":"Hoch","given":"Olivia","email":"","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":207515,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957458,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matthews, Vince 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To address increasing demand for ecological models of aquatic species that can inform the management of national freshwater resources, we leveraged manager input to develop suites of environmental data layers characterizing freshwater habitats for the contiguous United States. Using the National Hydrography Dataset, these new data cover lentic and lotic systems under current and near-future environmental conditions. The data include a variety of covariate categories including climate, soil chemistry, land use and land cover, and human modification of the surrounding landscape. The predictor resolution for atmospheric climate predictors was the lake (wetland) or stream reach, and, for the terrestrial proxies, the subwatershed (HUC12) surrounding the lake or stream reach was chosen to capture the relevant land features surrounding the habitat. Future land use, land cover and streamflow predictions were included from present to mid-century. These data are available for the development of freshwater ecological models in the contiguous United States for a variety of applications, including species distribution modeling and exploring change in spatially diverse aquatic systems in time.

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interface","docAbstract":"

Saltwater is migrating into freshwater aquifers globally with water quality and biogeochemical implications, yet saltwater intrusion in glaciated regions is sparsely investigated. Field observations suggest that groundwater head in glaciated systems is influenced by ice sheet forcings and provides evidence that seawater infiltrated into offshore aquifers during past deglaciation events. To understand links between ice sheet dynamics, groundwater head, and saltwater intrusion, we use numerical models to explore the effects of deglaciation on nearshore head and salinity distributions. We find that ice sheet thinning diminishes groundwater head, and the resulting shift in subsurface pressure gradients drives rapid landward movement of the subsurface freshwater-saltwater interface up to 4.0 km or 1.3 m per m ice sheet loss. Results highlight an overlooked saltwater intrusion mechanism that aligns with field observations and affects glaciated coastlines undergoing ice sheet retreat, underscoring the need to consider this mechanism in studies of contemporary coastal water quality.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL120376","usgsCitation":"Guimond, J., Mohammed, A., Kurylyk, B.L., Walvoord, M.A., and Bense, V.F., 2026, Ice sheet dynamics drive pronounced changes in the subsurface freshwater-saltwater interface: Geophysical Research Letters, v. 53, no. 6, e2025GL120376, 10 p., https://doi.org/10.1029/2025GL120376.","productDescription":"e2025GL120376, 10 p.","ipdsId":"IP-184772","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":501612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl120376","text":"Publisher Index Page"},{"id":501588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":957940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":957941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":957942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":957944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274265,"text":"70274265 - 2026 - The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","interactions":[],"lastModifiedDate":"2026-06-02T16:13:56.145125","indexId":"70274265","displayToPublicDate":"2026-03-16T10:41:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","docAbstract":"

We present the 2025 U.S. Geological Survey Puerto Rico and U.S. Virgin Islands (PRVI) time‐independent earthquake rupture forecast (ERF), developed for the 2025 update to the National Seismic Hazard Model (NSHM) for PRVI. The updated ERF improves upon a prior model from 2003, including an expanded fault inventory with slip‐rate estimates, updated seismicity catalogs, and refined subduction zone geometries and deformation models. It applies the fault‐system inversion methodology to solve for rates of ruptures on modeled faults, adapted from the 2023 NSHM (NSHM23) for the western United States, including the first application of the inversion to model rates on a U.S. subduction interface. Off‐fault and intraslab seismicity are constrained by observed seismicity and use updated methods developed for NSHM23. Uncertainties in model components are substantial, and the ERF represents epistemic uncertainties through a comprehensive logic tree consisting of 1.7 billion logic‐tree branches combined across all sources.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250040","usgsCitation":"Milner, K., Hatem, A.E., Briggs, R.W., Thompson Jobe, J.A., Llenos, A.L., Michael, A.J., Shumway, A., Field, E.H., and Haynie, K.L., 2026, The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast: Bulletin of the Seismological Society of America, v. 116, no. 3, p. 1321-1351, https://doi.org/10.1785/0120250040.","productDescription":"31 p.","startPage":"1321","endPage":"1351","ipdsId":"IP-182010","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250040","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.24473696671367,\n 18.685289557222063\n ],\n [\n -67.45235602937508,\n 17.58915546047696\n ],\n [\n -64.35204786394414,\n 17.642821738727804\n ],\n [\n -64.70746354748341,\n 18.441821463038096\n ],\n [\n -67.24473696671367,\n 18.685289557222063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":957460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":957464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":957465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957468,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274273,"text":"70274273 - 2026 - Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","interactions":[],"lastModifiedDate":"2026-03-24T15:40:31.2063","indexId":"70274273","displayToPublicDate":"2026-03-16T10:28:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","docAbstract":"

The Marfa Basin in West Texas is a late Palaeozoic synorogenic depocenter associated with regional deformation linked to the Ancestral Rocky Mountains (ARM) and Ouachita–Marathon–Sonora (OMS) orogenies in southwestern Laurentia. Basin strata range in age from Middle Pennsylvanian to the middle Permian and include the Cieneguita, Alta, Pinto Canyon, Rose Mine and Mina Grande Formations. Sandstone petrography and detrital zircon (DZ) U–Pb and (U–Th)/He double dating data from these strata reveal three tectonically driven sedimentation stages: syntectonic ARM deposition, progressive OMS foredeep deposition and an orogenic transition. The Cieneguita and lower part of the Alta Formations exhibit a Mesoproterozoic DZ age signature (~1318 and ~1076 Ma age peaks) and quartzo-feldspathic sandstone compositions sourced from the adjacent ARM-related Diablo Platform basement uplift in the Middle Pennsylvanian to earliest Permian. In contrast, the upper part of the Alta Formation, as well as the Pinto Canyon and Rose Mine Formations, have peri-Gondwanan DZ age signatures, with Mesoproterozoic (~1069–1036 Ma age peaks), Neoproterozoic–Cambrian (~700–490 Ma) and Palaeozoic (~490–300 Ma) age modes and litho-quartzose sandstone compositions derived from the OMS fold-and-thrust belt and orogenic hinterland during the early to middle Permian. The lower to middle parts of the Alta Formation have alternating DZ age signatures and sandstone compositions from both ARM and OMS sources, revealing that the transition in the sediment supply occurred during the middle Wolfcampian. This transition was not characterised by source mixing, but rather by sediment interfingering alternately sourced from the Diablo Platform uplift and the advancing OMS belt. These observations are confirmed by the DZ He ages, which reveal distinct cooling histories for both source terranes. These results document a switch from ARM- to OMS-related syntectonic deposition in southwestern Laurentia during the early Permian, demonstrating that ARM-driven deformation largely preceded the continental collision along the Marathon segment of the OMS orogen.

","language":"English","publisher":"Wiley","doi":"10.1111/bre.70098","usgsCitation":"Juárez-Zúñiga, S., Johnson, B.G., Stockli, D.F., and Lawton, T.F., 2026, Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.: Basin Research, v. 38, no. 2, e70098, 27 p., https://doi.org/10.1111/bre.70098.","productDescription":"e70098, 27 p.","ipdsId":"IP-179927","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":501454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Marfa Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.5833,\n 30.0833\n ],\n [\n -104.5833,\n 29.9\n ],\n [\n -104.333,\n 29.9\n ],\n [\n -104.333,\n 30.0833\n ],\n [\n -104.5833,\n 30.0833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Juárez-Zúñiga, Sandra","contributorId":367830,"corporation":false,"usgs":false,"family":"Juárez-Zúñiga","given":"Sandra","affiliations":[],"preferred":false,"id":957778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel F. 0000-0001-7652-2129","orcid":"https://orcid.org/0000-0001-7652-2129","contributorId":254375,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":957779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Benjamin G. 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":957508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawton, Timothy F.","contributorId":63866,"corporation":false,"usgs":true,"family":"Lawton","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275562,"text":"70275562 - 2026 - Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","interactions":[],"lastModifiedDate":"2026-05-04T17:27:41.45131","indexId":"70275562","displayToPublicDate":"2026-03-16T10:21:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","title":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","docAbstract":"

Chronic wasting disease (CWD) is an always-fatal disease infecting wild cervids globally. Ecologically and economically important, CWD presents a challenge for managing white-tailed deer (Odocoileus virginianus). We built an agent-based model to simulate CWD transmission and assess potential management actions that could slow disease spread: PAOvCWD. We developed PAOvCWD using contact rates and other behavioral and ecological metrics estimated from deer monitored in Pennsylvania, USA. We programmed potential management responses (e.g., culling, altered hunter harvest) for all 22 Pennsylvania wildlife management units and validated the efficacy of PAOvCWD using a deer population in south-central Pennsylvania infected with CWD for > 10 years. To support applications of our model, we developed a user-friendly R pipeline that allows implementation with relatively minor modifications. Our pipeline includes four steps:

","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2026.103823","usgsCitation":"Wehr, N.H., Rosenberry, C.S., Stainbrook, D., Staats, M., Korman, A.L., and Walter, W., 2026, Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD: MethodsX, v. 16, 103823, 16 p., https://doi.org/10.1016/j.mex.2026.103823.","productDescription":"103823, 16 p.","ipdsId":"IP-183423","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mex.2026.103823","text":"Publisher Index Page"},{"id":503957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.52570032431473,\n 42.37910582401369\n ],\n [\n -80.52570032431473,\n 39.7574248075166\n ],\n [\n -75.28642802666494,\n 39.74932521784851\n ],\n [\n -74.71459853396998,\n 40.20609004712162\n ],\n [\n -75.04199041686836,\n 40.68565656763054\n ],\n [\n -74.674371591522,\n 41.46091896179685\n ],\n [\n -75.02824981894486,\n 41.58885964729429\n ],\n [\n -75.04425524379862,\n 41.96621048650465\n ],\n [\n -79.67841620003504,\n 42.06937709005368\n ],\n [\n -80.52570032431473,\n 42.37910582401369\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wehr, Nathaniel H.","contributorId":371018,"corporation":false,"usgs":false,"family":"Wehr","given":"Nathaniel","middleInitial":"H.","affiliations":[{"id":85818,"text":"Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":960886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Christopher S.","contributorId":371019,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","middleInitial":"S.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stainbrook, David","contributorId":272188,"corporation":false,"usgs":false,"family":"Stainbrook","given":"David","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":960888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staats, Maureen","contributorId":371020,"corporation":false,"usgs":false,"family":"Staats","given":"Maureen","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korman, Andrea L.","contributorId":371021,"corporation":false,"usgs":false,"family":"Korman","given":"Andrea","middleInitial":"L.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274507,"text":"70274507 - 2026 - Dog attacks on wild desert tortoises: A risk model","interactions":[],"lastModifiedDate":"2026-05-07T15:49:00.031275","indexId":"70274507","displayToPublicDate":"2026-03-16T09:27:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Dog attacks on wild desert tortoises: A risk model","docAbstract":"

We retrospectively compiled a database of 6,727 live, wild Agassiz's desert tortoises (Gopherus agassizii) and evaluated them for clinical signs of trauma to shell and limbs at 50 sites in the Mojave and Colorado (western Sonoran) deserts of California, USA, spanning the years 1977–2006. Our objectives were to 1) identify tortoises with severe trauma to shell, limbs, and gular horns typically seen in attacks from dogs (Canis familiaris); 2) identify locations where severe injuries occurred; and 3) develop a risk model based on distances of tortoises from settlements, towns, or cities. Our models identified multiple variables of importance for tortoises with severe damage to shells, limbs, and gular horns: relative age and sex of tortoises, decades of occurrence, and location. Females and very old tortoises were more vulnerable to attacks than other tortoises. In the decades between the 1970s and 2000s, the risk of severe overall trauma to shell and limbs increased 4 times and to gular horns 16.5 times. Compared to previous decades, by the early 2000s the percent of tortoises with severe trauma increased exponentially the closer a tortoise site was to a settlement; the exponential increase began at approximately 12 km from a settlement. We suggest that the risks may be higher now because of the growth of human populations within the geographic range of the tortoise. The threats to tortoises from dogs are based on whether dogs are off-leash in the Mojave and Colorado deserts.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70192","usgsCitation":"Carlson, A.S., Berry, K.H., and Mack, J.S., 2026, Dog attacks on wild desert tortoises: A risk model: Journal of Wildlife Management, v. 90, no. 4, e70192, 22 p., https://doi.org/10.1002/jwmg.70192.","productDescription":"e70192, 22 p.","ipdsId":"IP-177508","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501720,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70192","text":"Publisher Index Page"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"Colorado Desert, Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.54403437504442,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 37.27173670819484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrea S.","contributorId":368885,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrea","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Jeremy S.","contributorId":368886,"corporation":false,"usgs":false,"family":"Mack","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274509,"text":"70274509 - 2026 - Invasion resistance varies by fuel break type in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2026-05-07T15:48:19.993938","indexId":"70274509","displayToPublicDate":"2026-03-16T09:16:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invasion resistance varies by fuel break type in sagebrush ecosystems","docAbstract":"

Background

Wildfire is an increasingly important driver of changes within sagebrush (Artemisia spp. L.) ecosystems of the western USA, often resulting in increased spread of exotic annual grasses, such as cheatgrass (Bromus tectorum L.), and subsequent losses of native vegetation and wildlife habitat. Fuel breaks— areas of land treated to reduce or redistribute fuel loads — are widely implemented to help prevent the spread of wildfires and provide areas to facilitate firefighting efforts. However, localized installation and maintenance of fuel breaks directly reduce or remove vegetation and may propagate the spread of exotic annual grasses into fuel break boundaries and surrounding areas, inadvertently weakening ecological resilience to disturbance. To investigate if exotic annual grass cover was associated with mowed or green strip fuel breaks across the sagebrush biome, we combined multiple data sources and methodologies. We used targeted field surveys and land-management agency monitoring data within a space-for-time substitution framework coupled with a progressive-change before-after control-impact (PC BACI) study design using historical remotely sensed vegetation cover data which allowed us to account for potential confounding effects of roads on annual grass cover.

Results

Models using both field collected and remotely sensed vegetation indices estimated increases in exotic annual grass cover over time following mowed fuel break installation, and higher exotic annual grass cover closer to mowed fuel breaks. These increases in exotic annual grass occurred within, at 500 m and at 1000 m from mowed fuel breaks. However, we found variable patterns of exotic annual grass after green strip fuel break installation depending on the data source. No increase in exotic annual grass were indicated by either analysis at distances greater than 500 m from green strip fuel breaks. However, our and field data analyses disagreed on the direction of the association of exotic annual grass cover and green strip fuel breaks.

Conclusions

Although fuel breaks are an important tool in managing wildland fire, our analysis underscores the importance of planting fire-resistant vegetation, rather than mowing alone, to reduce invasion by annual grasses within and around fuel breaks in sagebrush ecosystems. In addition, site characteristics that hinder the proliferation of exotic annual grasses could be evaluated when installing fuel breaks to minimize unintended effects of exotic annual grass on surrounding sagebrush habitat.

","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-026-00455-x","usgsCitation":"Nash, A.L., Brussee, B.E., Weise, C.L., Shinneman, D.J., McIlroy, S.K., Webster, S.C., Mathews, S.R., Dettenmaier, S.J., Condon, L.A., Crist, M.R., Aldridge, C.L., Heinrichs, J.A., Ricca, M.A., O’Neil, S.T., and Coates, P., 2026, Invasion resistance varies by fuel break type in sagebrush ecosystems: Fire Ecology, v. 22, 40, 17 p., https://doi.org/10.1186/s42408-026-00455-x.","productDescription":"40, 17 p.","ipdsId":"IP-179064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501718,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501962,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13H9ADF","text":"USGS data release","linkHelpText":"Code to analyze fuel breaks and exotic annual grass associations within sagebrush ecosystems of the western USA"},{"id":502043,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00455-x","text":"Publisher Index Page"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.63820648194779,\n 45.25800827418905\n ],\n [\n -120.41592142907835,\n 36.85076028726094\n ],\n [\n -109.11875667665349,\n 36.86493560362864\n ],\n [\n -109.36785528074041,\n 40.99708268734472\n ],\n [\n -110.7820295865994,\n 41.01150582119152\n ],\n [\n -111.218717505678,\n 44.232882662546004\n ],\n [\n -113.50710117819294,\n 45.73445789521233\n ],\n [\n -122.63820648194779,\n 45.25800827418905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nash, Austin L. 0000-0001-6753-8807","orcid":"https://orcid.org/0000-0001-6753-8807","contributorId":368894,"corporation":false,"usgs":false,"family":"Nash","given":"Austin","middleInitial":"L.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E.","contributorId":368895,"corporation":false,"usgs":false,"family":"Brussee","given":"Brianne","middleInitial":"E.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weise, Cali L.","contributorId":305785,"corporation":false,"usgs":false,"family":"Weise","given":"Cali","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":958053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":958054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":958055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webster, Sarah C. 0000-0003-4981-2010","orcid":"https://orcid.org/0000-0003-4981-2010","contributorId":368900,"corporation":false,"usgs":false,"family":"Webster","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mathews, Steven R. 0000-0002-3165-9460 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0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958059,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":958060,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":958061,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958062,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958063,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958064,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958065,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70275742,"text":"70275742 - 2026 - Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults","interactions":[],"lastModifiedDate":"2026-06-02T15:25:30.439363","indexId":"70275742","displayToPublicDate":"2026-03-16T08:28:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults","docAbstract":"

Estimating the evolving state of stress along active fault systems can provide insight into the conditions that generated past ground‐rupturing earthquakes and influenced their ability to propagate through areas of geometric complexity, such as fault branches and stepovers. We use quasi‐static forward numerical models that incorporate the 3D complex configuration of active faults in southern California to estimate shear tractions on the geometrically complex southern San Andreas and San Jacinto faults from 1000 to 1900 C.E. These tractions include interseismic accumulation of traction due to tectonic loading, viscoelastic relaxation of shear stress within the upper crust between earthquakes, and effects of other earthquakes on the fault network. We simulate ground‐rupturing earthquakes based on the along‐strike earthquake extents modeled by Scharer and Yule (2020), assuming that stress drop is complete in each earthquake. We use Monte Carlo simulations to estimate uncertainty in evolving shear tractions due to uncertainties in earthquake timing and in upper‐crustal viscosity. Pre‐earthquake shear tractions typically do not exceed ∼2 MPa. Although ruptures with length <200 km have pre‐earthquake shear tractions that range from near zero to ∼1.75 MPa, these tractions are not less than ∼0.4 MPa for earthquakes with rupture length >200 km. Earthquakes with long (>200 km) ruptures occur only in the single‐stranded part of the system, whereas those with short (<125 km) rupture length and high pre‐earthquake shear traction occur near fault stepovers and branches. This suggests that high accumulated shear traction encourages longer rupture propagation, but may not be sufficient to overcome geometric complexities. This modeling approach informs our understanding of rupture propagation and provides estimates of fault shear tractions that are unavailable from direct measurements.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250173","usgsCitation":"Anderson-Merritt, E., Cooke, M., and Scharer, K., 2026, Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults: Bulletin of the Seismological Society of America, v. 116, no. 3, p. 1125-1144, https://doi.org/10.1785/0120250173.","productDescription":"20 p.","startPage":"1125","endPage":"1144","ipdsId":"IP-181185","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":504642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250173","text":"Publisher Index Page"},{"id":504410,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Callifornia","otherGeospatial":"San Andreas fault, San Jacinto fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.9458258,\n 32.9828925\n ],\n [\n -115.2891279,\n 33.6577595\n ],\n [\n -119.2237854,\n 36.5042376\n ],\n [\n -121.0047357,\n 35.9362112\n ],\n [\n -119.0166982,\n 34.2760537\n ],\n [\n -116.9458258,\n 32.9828925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson-Merritt, Emery","contributorId":296632,"corporation":false,"usgs":false,"family":"Anderson-Merritt","given":"Emery","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":961588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooke, Michelle","contributorId":329695,"corporation":false,"usgs":false,"family":"Cooke","given":"Michelle","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":961589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276468,"text":"70276468 - 2026 - A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas","interactions":[],"lastModifiedDate":"2026-06-05T14:07:15.742206","indexId":"70276468","displayToPublicDate":"2026-03-13T09:01:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas","docAbstract":"

Sea ice affects Earth's climate system on both regional and global scales. Its incorporation into climate can be used to achieve more accurate predictions of future climate. However, instrumental records of sea-ice concentration do not extend earlier than 1978. In an effort to extend this record, we constructed a proxy using the generalized additive model based on relative abundances of five easy-to-identify diatom species found in sediment samples across the Bering and Chukchi seas. Here we present the first quantitative diatom-based sea-ice proxy developed for Beringia. The developed proxy has been applied to two sediment cores in the Bering Sea ranging from 0 to 25.7 ka (HLY0204 51JPC) and 369 to 430 ka (IODP Exp 323 Site U1345) and one in the Chukchi Sea ranging from 2.7 to 10 ka (HLY0204 24JPC). The obtained reconstructions of sea-ice concentrations are similar, but not identical to previously published qualitative and nearby records based on other proxies. Because our results are quantitative, they can be incorporated into regional climate models. The proxy is publicly available as an R Shiny application (app) and can be applied to any diatom count from marine sediments in the region.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2026.113686","usgsCitation":"Nesterovich, A., and Caissie, B.E., 2026, A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 690, 113686, 19 p., https://doi.org/10.1016/j.palaeo.2026.113686.","productDescription":"113686, 19 p.","ipdsId":"IP-179048","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":505461,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2026.113686","text":"Publisher Index Page"},{"id":505308,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13N4Q7Z","text":"USGS data release","linkHelpText":"Sea Ice Proxy App"},{"id":505088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -160,\n 75\n ],\n [\n -160,\n 54\n ],\n [\n -179.9,\n 54\n ],\n [\n -179.9,\n 65.1571568\n ],\n [\n -179.9,\n 75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"690","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nesterovich, Anna","contributorId":371853,"corporation":false,"usgs":false,"family":"Nesterovich","given":"Anna","affiliations":[{"id":62149,"text":"Great Lakes Environmental Center","active":true,"usgs":false}],"preferred":false,"id":962465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":962466,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274552,"text":"70274552 - 2026 - Multi-site evaluation of a postfire debris-flow runout forecast method","interactions":[],"lastModifiedDate":"2026-03-31T15:46:54.853091","indexId":"70274552","displayToPublicDate":"2026-03-12T10:43:31","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":"Multi-site evaluation of a postfire debris-flow runout forecast method","docAbstract":"

Postfire debris flows pose a hazard to human life, property, and infrastructure when they travel from steep source areas to urbanized alluvial fans or other developed areas. Existing methods for rapid (<1 week) postfire debris-flow hazard assessment document the increase in the likelihood and size of debris flows as the magnitude of high-intensity rain necessary to initiate debris flows increases but do not indicate the extent of downstream debris-flow runout. Although many models for the simulation of debris-flow motion are available, there is no established approach for using these models to delineate locations susceptible to postfire debris-flow runout that (a) is feasible to use at the spatial scale of an entire fire; (b) is appropriate for runout onto unconfined areas; (c) reproduces observed relations between runout and rainfall intensity; and (d) characterizes inherent uncertainty in runout, even without spatiotemporally variable rainfall. We propose and evaluate a method for generating postfire debris-flow runout hazard maps that has all the above qualities. Selection of case studies prioritized events triggered by a range of rainfall intensities, locations within and outside of southern California, and observed runout onto unconfined topography. Qualitative and quantitative assessment of performance for four events indicate that simulation results broadly match observations albeit with some discrepancies at a scale larger than structure or land parcel level (approximately 20-m by 20-m). The method may be used to identify potentially hazardous areas immediately following a fire and to provide approximate runout forecasts when a storm is imminent.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF007004","usgsCitation":"Barnhart, K.R., Kean, J.W., Lindsay, D.N., and Bilderback, E., 2026, Multi-site evaluation of a postfire debris-flow runout forecast method: Earth's Future, v. 14, no. 3, e2025EF007004, 30 p., https://doi.org/10.1029/2025EF007004.","productDescription":"e2025EF007004, 30 p.","ipdsId":"IP-180454","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":502076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef007004","text":"Publisher Index Page"},{"id":501868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.79851727404943,\n 36.914538423846594\n ],\n [\n -120.91896698559691,\n 36.914538423846594\n ],\n [\n -120.91896698559691,\n 32.90931203229438\n ],\n [\n -109.79851727404943,\n 32.90931203229438\n ],\n [\n -109.79851727404943,\n 36.914538423846594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":958263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":958264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Donald N. 0009-0001-4533-339X","orcid":"https://orcid.org/0009-0001-4533-339X","contributorId":369005,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":958265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilderback, Eric Leland 0000-0002-2027-5699","orcid":"https://orcid.org/0000-0002-2027-5699","contributorId":349936,"corporation":false,"usgs":true,"family":"Bilderback","given":"Eric Leland","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":958266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275104,"text":"70275104 - 2026 - Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows","interactions":[],"lastModifiedDate":"2026-04-16T15:48:13.442643","indexId":"70275104","displayToPublicDate":"2026-03-12T10:39:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows","docAbstract":"

Groundwater pumping-induced reductions in streamflow (known as ‘streamflow depletion’) have been documented worldwide, but potential impacts of streamflow depletion on stream temperature are not well understood. Here, we use two types of models to identify potential impacts of pumping on stream temperature across the conterminous United States (CONUS) to determine which aspects of a stream's annual thermograph (thermal signatures) can be used to monitor and manage streamflow depletion impacts on stream temperature. We used long-term streamflow and stream temperature data from 30 streamgages across CONUS and surrogate models of streamflow depletion to analyse potential stream temperature impacts at each site. We compared two different stream temperature modelling approaches: (i) a process-based energy balance model and (ii) statistical regression models based on air temperature and stream discharge. We calculated a suite of thermal signatures under depleted and non-depleted conditions for each stream and found that maximum annual 7-day temperature and annual temperature range are potentially the most sensitive to streamflow depletion, with potential changes of at least 2°C at > 70% of the sites when using the process-based model. We also found that the regression-based models predicted much less sensitivity of stream temperature to streamflow depletion than the process-based model. This work provides an initial evaluation and sensitivity analysis of the potential impacts of streamflow depletion on stream temperature. We demonstrate that stream temperature may be most sensitive to pumping in streams with a high proportion of flow sourced from relatively cold groundwater inputs, and that regression-based stream temperature models may underpredict stream temperature changes caused by streamflow depletion.

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Kansas","active":true,"usgs":false}],"preferred":false,"id":959464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274556,"text":"70274556 - 2026 - Epigenetics in captivity: Restoring wild phenotypes in captive-reared salmonids","interactions":[],"lastModifiedDate":"2026-04-02T13:47:45.108645","indexId":"70274556","displayToPublicDate":"2026-03-12T09:58:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary 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Captive rearing is a common practice for the stocking, conservation, and supplementation of fish species worldwide, but captive-reared fish can exhibit altered phenotypes leading to reduced fitness in nature compared to wild conspecifics. In salmonids, certain studies have found limited genetic differentiation between wild and captive-reared fish. However, documented changes in gene expression in hatchery fish have led scientists to investigate epigenetic mechanisms, such as DNA methylation, as a source of these differences. In this binational collaborative piece, we synthesize the knowledge and efforts of academics and government scientists to highlight how interactions between captive rearing and the epigenome elicit parallel phenotypic changes across salmonid species. We examine the known and potential links between DNA methylation and the phenotypic effects of captive rearing including changes in behavior, color, gut microbiomes, and developmental abnormalities. We review efforts to minimize these phenotypic and epigenetic effects including attempts to modify the hatchery environment and rearing protocols. We provide a framework to integrate epigenetic considerations into hatchery rearing protocols by weighing the heritable nature of DNA methylation with the goals of different captive rearing programs and explore whether minimizing the phenotypic and epigenetic effects of captive rearing is worthwhile. We examine heritability and persistence of epigenetic effects, and we propose the exploitation of heritable bet-hedging as an epigenetic buffer to increase post-release survival. We also suggest novel applications of epigenomic biomarkers as a non-lethal method for post-release monitoring. Ultimately, collaborative multi-disciplinary research across species is needed to understand the comprehensive effects of captive rearing, reduce the ecological impacts of captive fish in the wild, and increase population resilience. Integrating epigenetics into fish hatchery management will provide new opportunities for optimizing and improving captive rearing.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.70210","usgsCitation":"Attfield, T., Honsey, A.E., Ackiss, A.S., Luek, A., Meagher, B., Nuetzel, H., Koch, I., April, J., Wakeling, K., Wellband, K., Bouchard, R., Lehnhert, S.J., Narum, S.R., Healy, T., Pitcher, T.E., and Venney, C.J., 2026, Epigenetics in captivity: Restoring wild phenotypes in captive-reared salmonids: Evolutionary Applications, v. 19, no. 3, e70210, 17 p., https://doi.org/10.1111/eva.70210.","productDescription":"e70210, 17 p.","ipdsId":"IP-183514","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502102,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.70210","text":"Publisher Index Page"},{"id":501928,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Attfield, Tia","contributorId":369010,"corporation":false,"usgs":false,"family":"Attfield","given":"Tia","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":958282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honsey, Andrew Edgar 0000-0001-7535-1321","orcid":"https://orcid.org/0000-0001-7535-1321","contributorId":295468,"corporation":false,"usgs":true,"family":"Honsey","given":"Andrew","email":"","middleInitial":"Edgar","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luek, Andreas","contributorId":369011,"corporation":false,"usgs":false,"family":"Luek","given":"Andreas","affiliations":[{"id":85260,"text":"Alberta Environment and Protected Areas","active":true,"usgs":false}],"preferred":false,"id":958285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meagher, Brian","contributorId":369012,"corporation":false,"usgs":false,"family":"Meagher","given":"Brian","affiliations":[{"id":85260,"text":"Alberta Environment and Protected Areas","active":true,"usgs":false}],"preferred":false,"id":958286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nuetzel, 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Kristy","contributorId":369016,"corporation":false,"usgs":false,"family":"Wakeling","given":"Kristy","affiliations":[{"id":87699,"text":"Alberta Forestry and Parks","active":true,"usgs":false}],"preferred":false,"id":958290,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wellband, Kyle","contributorId":369017,"corporation":false,"usgs":false,"family":"Wellband","given":"Kyle","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958291,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bouchard, Raphael","contributorId":369018,"corporation":false,"usgs":false,"family":"Bouchard","given":"Raphael","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":958292,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lehnhert, Sarah J.","contributorId":369019,"corporation":false,"usgs":false,"family":"Lehnhert","given":"Sarah","middleInitial":"J.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958293,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":958294,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Healy, Timothy","contributorId":369020,"corporation":false,"usgs":false,"family":"Healy","given":"Timothy","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958295,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pitcher, Trevor E.","contributorId":369021,"corporation":false,"usgs":false,"family":"Pitcher","given":"Trevor","middleInitial":"E.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":958296,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Venney, Clare J.","contributorId":369022,"corporation":false,"usgs":false,"family":"Venney","given":"Clare","middleInitial":"J.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":958297,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70275760,"text":"70275760 - 2026 - Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl","interactions":[],"lastModifiedDate":"2026-05-18T14:41:52.270467","indexId":"70275760","displayToPublicDate":"2026-03-12T09:34:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl","docAbstract":"

Robust estimation of wildlife populations represents a cornerstone of wildlife research and provides critical information to guide management, including identifying at-risk species, setting harvest rates, and evaluating predator and invasive species control programs. Efforts to enhance population estimation have long included influences one species may have on another, beginning with direct effects of predation on prey populations. More recently, researchers have incorporated co-occurrence effects, such as fear of a competitor, into Lotka–Volterra competition models to generate more robust wildlife population estimates. Here, we introduce two modified Lotka–Volterra competition models, which incorporate one- and two-way co-occurrence effects, to estimate populations of two competing species. Using the test case of northern spotted (Strix occidentalis caurina) and barred owl (Strix varia) populations in the Pacific Northwest region of the United States, we evaluate if these new co-occurrence models can generate more robust population estimates than previous models. We then evaluate if potential co-occurrence effects among barred and northern spotted owls are uni- or bidirectional. Lastly, we leverage the best-performing model to evaluate the degree to which a recently proposed barred owl culling program may help recover northern spotted owl populations. Our model results suggest that incorporating co-occurrence effects improves model fit compared to classical Lotka–Volterra competition models. We found strong evidence for unidirectional co-occurrence effects of barred owls on northern spotted owls, but not vice versa. Our simulations of barred owl culling suggest that barred owls would need to be culled from approximately 40% of all occupied barred owl territories each year to reverse ongoing northern spotted owl population declines.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70195","usgsCitation":"Srivastava, V., Van Lanen, N.J., and Parshad, R.D., 2026, Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl: Ecological Applications, v. 36, no. 2, e70195, 17 p., https://doi.org/10.1002/eap.70195.","productDescription":"e70195, 17 p.","ipdsId":"IP-165311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504744,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1P33RZS","text":"USGS data release","linkHelpText":"Data and analytical code associated with a modified Lotka-Volterra model, assessing population-level co-occurrence effects between barred (Strix varia) and northern spotted owls (Strix occidentalis caurina), in western Oregon (1990 – 2015)"},{"id":504643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70195","text":"Publisher Index Page"},{"id":504474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.5,\n 45.2\n ],\n [\n -123,\n 45.2\n ],\n [\n -123,\n 43.7\n ],\n [\n -124.5,\n 43.7\n ],\n [\n -124.5,\n 45.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Srivastava, Vaibhava","contributorId":371362,"corporation":false,"usgs":false,"family":"Srivastava","given":"Vaibhava","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":961678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parshad, Rana D.","contributorId":371363,"corporation":false,"usgs":false,"family":"Parshad","given":"Rana","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":961680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}