{"pageNumber":"12","pageRowStart":"275","pageSize":"25","recordCount":184553,"records":[{"id":70274601,"text":"70274601 - 2026 - Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA","interactions":[],"lastModifiedDate":"2026-04-01T21:13:19.203403","indexId":"70274601","displayToPublicDate":"2026-01-20T14:07:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>In several early studies, central California marine terraces between Santa Barbara and Point Conception were interpreted to record sea-level high stands of the last interglacial complex, ∼80&nbsp;ka to ∼120&nbsp;ka (marine isotope stage [MIS] 5). These ages and their elevations (∼20&nbsp;m to ∼45&nbsp;m) indicate modest rates of tectonic uplift, similar to those from other localities in southern and central California. A recent study, using a combination of luminescence and radiocarbon dating, has challenged the older age interpretations, implying much younger terrace ages, between ∼40&nbsp;ka and&nbsp;∼55&nbsp;ka (MIS 3). From these new ages and a considerably lower sea level during MIS 3, much higher rates of tectonic uplift are inferred. In the present study, new uranium-series ages of terrace corals and amino acid age estimates of terrace mollusks were determined to test these competing interpretations. With the exception of a low-elevation terrace in Isla Vista (near Santa Barbara) that dates to MIS 3, terraces farther west are interpreted to date to MIS 5 and imply tectonic uplift rates of 0.20–0.34&nbsp;m/kyr. A compilation of data for the region yields a decreasing rate of late Quaternary uplift from east, near Ventura, to west, near Point Conception. This trend is interpreted to reflect a decreasing influence of the processes of compression and crustal shortening south of the Big Bend in the San Andreas fault.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2026.110179","usgsCitation":"Muhs, D., Schumann, R.R., Bright, J., Roberts, H.M., and Groves, L.T., 2026, Revisiting the geochronology of late Quaternary marine terraces and uplift rates in coastal Santa Barbara County, California, USA: Geomorphology, v. 501, 110179, 29 p., https://doi.org/10.1016/j.geomorph.2026.110179.","productDescription":"110179, 29 p.","ipdsId":"IP-175111","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":501968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County","otherGeospatial":"coastal Santa Barbara County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.71849255644787,\n              34.941506886063436\n            ],\n            [\n              -120.71849255644787,\n              34.36620309495811\n            ],\n            [\n              -119.29011089848893,\n              34.36620309495811\n            ],\n            [\n              -119.29011089848893,\n              34.941506886063436\n            ],\n            [\n              -120.71849255644787,\n              34.941506886063436\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"501","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":958475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":958476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bright, Jordon","contributorId":63981,"corporation":false,"usgs":false,"family":"Bright","given":"Jordon","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Helen M.","contributorId":369119,"corporation":false,"usgs":false,"family":"Roberts","given":"Helen","middleInitial":"M.","affiliations":[{"id":16758,"text":"Aberystwyth University","active":true,"usgs":false}],"preferred":false,"id":958478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Groves, Lindsey T. 0000-0002-2097-2689","orcid":"https://orcid.org/0000-0002-2097-2689","contributorId":365815,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":958479,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273754,"text":"70273754 - 2026 - Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2026-01-28T17:02:45.63779","indexId":"70273754","displayToPublicDate":"2026-01-20T10:58:29","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":"Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum","docAbstract":"<p><span>The Paleocene–Eocene Thermal Maximum (PETM, ~56 Mya) interval was marked by massive&nbsp;</span><sup>13</sup><span>C-depleted carbon emissions into the ocean/atmosphere system, manifested as a negative carbon isotope excursion (CIE) in sedimentary components, and ~5 °C global average warming. Episodes of hydrological perturbations and soil-erosion have been widely documented for the PETM but their link with vegetation- and carbon cycle changes remain poorly constrained. Here, we present organic microfossil evidence showing a strong increase in fern-dominated pioneer vegetation that replaced coniferous forests on the margin of the Norwegian Sea during the first millennia of the CIE. With the present stratigraphic constraints, the “fern spike” occurred simultaneously in terrestrial settings along the North Sea, Arctic Ocean, the US east coast and in southern Australia, indicating that pioneer vegetation persisted for several millennia following a partial collapse of previously stable terrestrial ecosystems. Both the ferns and influx of microcharcoal imply recurrent physical disturbance, including soil destabilization and erosion, potentially linked to droughts, wildfires, and strong hydrological forcing resulting from extreme climate change. Together with evidence for reworked clay minerals and ancient organic matter (kerogen), these findings show that highly disturbed terrestrial ecosystems were widespread across mid- and high-latitude regions globally. Carbon cycle model simulations suggest that a substantial loss of standing and buried biomass, along with oxidation of soil organic matter, acted as important positive feedbacks during the onset of the CIE. Additionally, enhanced kerogen weathering likely contributed as another major positive feedback throughout both the onset and main phase of the CIE.</span></p>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2509231122","usgsCitation":"Nelissen, M., Willard, D., Konijnenburg-van Cittert, H., Bowen, G.J., Hollaar, T., Sluijs, A., Frieling, J., and Brinkhuis, H., 2026, Widespread terrestrial ecosystem disruption at the onset of the Paleocene–Eocene Thermal Maximum: Proceedings of the National Academy of Sciences, v. 123, no. 4, e2509231122, 8 p., https://doi.org/10.1073/pnas.2509231122.","productDescription":"e2509231122, 8 p.","ipdsId":"IP-177301","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2509231122","text":"Publisher Index Page"},{"id":499184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Nelissen, Mei","contributorId":362170,"corporation":false,"usgs":false,"family":"Nelissen","given":"Mei","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":954542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Konijnenburg-van Cittert, Han","contributorId":365651,"corporation":false,"usgs":false,"family":"Konijnenburg-van Cittert","given":"Han","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bowen, Gabriel J.","contributorId":365652,"corporation":false,"usgs":false,"family":"Bowen","given":"Gabriel","middleInitial":"J.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":954544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hollaar, Teuntje","contributorId":365653,"corporation":false,"usgs":false,"family":"Hollaar","given":"Teuntje","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sluijs, Appy","contributorId":215371,"corporation":false,"usgs":false,"family":"Sluijs","given":"Appy","email":"","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frieling, Joost","contributorId":365654,"corporation":false,"usgs":false,"family":"Frieling","given":"Joost","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":954547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brinkhuis, Henk","contributorId":328591,"corporation":false,"usgs":false,"family":"Brinkhuis","given":"Henk","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":954548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273667,"text":"70273667 - 2026 - Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects","interactions":[],"lastModifiedDate":"2026-01-22T15:25:07.928692","indexId":"70273667","displayToPublicDate":"2026-01-20T09:22:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23276,"text":"Ecotoxciology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects","docAbstract":"<p><span>To restore native biodiversity on island ecosystems containing invasive rodents, partial- and whole-island eradications generally rely on broadcast baiting with anticoagulant rodenticides (ARs). This approach can result in bait pellets entering aquatic environments, raising concerns about effects to non-target fish. Salmonids are a dominant group of fishes on many temperate islands targeted for rodent eradication, and AR toxicity data for salmonids are limited. Our goal was to determine if coho salmon (</span><i>Oncorhynchus kisutch</i><span>) are susceptible to coagulopathy and death via exposure to commonly used ARs. We assessed risk of ARs to coho using dose-response curves generated through intraperitoneal injections after determining that coho would not directly ingest the AR baits. Median lethal doses (96-h LD</span><sub>50</sub><span>) estimated using 100 % corn oil carrier were 85.7 µg/g for brodifacoum and 54.0 µg/g for diphacinone. Acetone (30–41 %), used to dissolve ARs in corn oil, reduced the toxicity of diphacinone (LD</span><sub>50</sub><span>&nbsp;= 102.3 µg/g, p &lt; 0.001) but not brodifacoum (LD</span><sub>50</sub><span>&nbsp;= 73.3 µg/g, p = 0.126) indicating that solvent choice can influence toxicity outcomes. Behavioral changes and onset of mortality differed between the two ARs, with diphacinone acting more rapidly. Tissue analysis supported a difference in toxicokinetics between the two ARs, with significant decreases in liver and muscle residues for diphacinone but not brodifacoum. Sublethal brodifacoum exposure (53.9 µg/g; LD</span><sub>13</sub><span>) impaired blood clotting at 72- and 96- h but returned to baseline by 120 h. No clotting impairment was observed up to 144 h after diphacinone exposure (45.5 µg/g; LD</span><sub>4</sub><span>), suggesting a non-coagulopathy mode of action. These findings will inform risk assessments when considering use of these ARs for rodent management near streams and shorelines and clearly demonstrate that brodifacoum causes coagulopathy in coho.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2026.119748","usgsCitation":"Pavord, L.M., Driessnack, M.K., Shiels, A.B., Volker, S., Rattner, B., and McIntyre, J., 2026, Toxicity of anticoagulant rodenticides on Pacific salmon: Assessing lethal and sublethal effects: Ecotoxciology and Environmental Safety, v. 310, 119748, 10 p., https://doi.org/10.1016/j.ecoenv.2026.119748.","productDescription":"119748, 10 p.","ipdsId":"IP-182338","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499308,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2026.119748","text":"Publisher Index Page"},{"id":498837,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"310","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Pavord, Lillian M.","contributorId":365379,"corporation":false,"usgs":false,"family":"Pavord","given":"Lillian","middleInitial":"M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driessnack, Melissa K.","contributorId":365380,"corporation":false,"usgs":false,"family":"Driessnack","given":"Melissa","middleInitial":"K.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiels, Aaron B.","contributorId":365381,"corporation":false,"usgs":false,"family":"Shiels","given":"Aaron","middleInitial":"B.","affiliations":[{"id":37295,"text":"USDA APHIS","active":true,"usgs":false}],"preferred":false,"id":954241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Volker, Steven","contributorId":299456,"corporation":false,"usgs":false,"family":"Volker","given":"Steven","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":954242,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rattner, Barnett A. 0000-0003-3676-2843","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":95843,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett A.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":954243,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntyre, Jenifer","contributorId":365385,"corporation":false,"usgs":false,"family":"McIntyre","given":"Jenifer","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":954244,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273942,"text":"70273942 - 2026 - Harmonization of aggregated freshwater biotic data to support continental and global assessment","interactions":[],"lastModifiedDate":"2026-02-19T14:32:03.770691","indexId":"70273942","displayToPublicDate":"2026-01-20T08:29:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Harmonization of aggregated freshwater biotic data to support continental and global assessment","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Biodiversity loss and conservation are increasingly coming into focus in global policy fora, requiring information and assessments at wider spatial and temporal scales than previously considered. However, the monitoring framework required to support such data collection and assessment is lacking in many countries and is not harmonized across countries, hampering these efforts. Aggregation of existing freshwater data offers a solution to the problem of assessing status and trends of ecosystems and biodiversity at large spatial scales in the absence of nationally coordinated monitoring efforts. Analysis of aggregated data from different sources, collected using different protocols and with varying levels of metadata and supporting data, can be challenging and requires decisions regarding data comparability. In this paper, we identify the challenges inherent in harmonizing aggregated freshwater data for analysis, including general concerns related to research goals, spatial and temporal scale, sample selection, sampling effort, and site integrity. We also discuss the challenges related to measured parameters, sampled habitats, sample collection and processing methods, and data integrity for phytoplankton, benthic algae, macrophytes, zooplankton, benthic macroinvertebrates, fish, and supporting variables such as water and sediment chemistry. We provide a workflow to evaluate each of these challenges and make decisions about how best to work with the data. Finally, we review a case study from a large-scale analysis of freshwater data from the circumpolar Arctic region that exemplifies the encountered challenges and the chosen solutions. Through the description of the case study, we provide practical solutions to support aggregation and analysis of existing freshwater data. As global conversations about biodiversity status and trends continue, the demand for large-scale analyses of data from different sources will only grow. In the absence of globally harmonized monitoring, we are faced with the need to ensure comparability of data, making expert judgements where needed to support sound conclusions.</span></span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pwat.0000502","usgsCitation":"Lento, J., Laske, S.M., Culp, J.M., Goedkoop, W., Kahlert, M., Lau, D.C., Lavoie, I., Musetta-Lambert, J., Ólafsson, J.S., and Christoffersen, K.S., 2026, Harmonization of aggregated freshwater biotic data to support continental and global assessment: PLOS Water, v. 5, no. 1, e0000502, 27 p., https://doi.org/10.1371/journal.pwat.0000502.","productDescription":"e0000502, 27 p.","ipdsId":"IP-180104","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":500254,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000502","text":"Publisher Index Page"},{"id":500141,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lento, Jennifer","contributorId":221451,"corporation":false,"usgs":false,"family":"Lento","given":"Jennifer","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":955855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laske, Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":955856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culp, Joseph M.","contributorId":366416,"corporation":false,"usgs":false,"family":"Culp","given":"Joseph","middleInitial":"M.","affiliations":[{"id":87479,"text":"Cold Regions Research Centre and Department of Biology, Wilfrid Laurier University","active":true,"usgs":false}],"preferred":false,"id":955857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goedkoop, Willem","contributorId":366417,"corporation":false,"usgs":false,"family":"Goedkoop","given":"Willem","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kahlert, Maria","contributorId":366418,"corporation":false,"usgs":false,"family":"Kahlert","given":"Maria","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955859,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lau, Danny C.P.","contributorId":366419,"corporation":false,"usgs":false,"family":"Lau","given":"Danny","middleInitial":"C.P.","affiliations":[{"id":87480,"text":"Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment","active":true,"usgs":false}],"preferred":false,"id":955860,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lavoie, Isabelle","contributorId":255561,"corporation":false,"usgs":false,"family":"Lavoie","given":"Isabelle","email":"","affiliations":[{"id":51586,"text":"Institut national de la recherche scientifique, Centre Eau Terre Environnement","active":true,"usgs":false}],"preferred":false,"id":955861,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Musetta-Lambert, Jordan","contributorId":366420,"corporation":false,"usgs":false,"family":"Musetta-Lambert","given":"Jordan","affiliations":[{"id":87481,"text":"Watershed Hydrology and Ecology Research Division, National Hydrology Research Centre, Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":955862,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ólafsson, Jón S.","contributorId":366421,"corporation":false,"usgs":false,"family":"Ólafsson","given":"Jón","middleInitial":"S.","affiliations":[{"id":40381,"text":"Marine and Freshwater Research Institute, Iceland","active":true,"usgs":false}],"preferred":false,"id":955863,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Christoffersen, Kirsten S.","contributorId":366422,"corporation":false,"usgs":false,"family":"Christoffersen","given":"Kirsten","middleInitial":"S.","affiliations":[{"id":87482,"text":"Freshwater Biological Section, Department of Biology, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":955864,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70273759,"text":"70273759 - 2026 - Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri","interactions":[],"lastModifiedDate":"2026-03-16T14:12:37.829607","indexId":"70273759","displayToPublicDate":"2026-01-19T09:05:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23282,"text":"Records of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Recent range expansion and documentation of a reproductive population of northern snakehead <i>Channa argus</i> (Cantor, 1842) in the Saint Francis River Drainage, Missouri","title":"Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri","docAbstract":"<p>Northern snakehead <i>Channa argus</i> (Cantor, 1842) is an aquatic invasive fish species in the United States with first documented occurrence in the wild in the 2000s. Management efforts to control their populations in the eastern United States are ongoing. In the Mississippi River basin, limited resources have been allocated to control its distribution, after initial detection and rapid response in Arkansas were unsuccessful. Northern snakehead distribution in the Mississippi River basin was limited to Arkansas and Mississippi until 2019 when a single northern snakehead was detected on the southern border of Missouri in the Saint Francis River drainage, the furthest northern detection. Described here are additional northern snakehead detections following public reports and subsequent monitoring in the Mingo basin of the Saint Francis River drainage, a historical braided channel and floodplain habitat of the Mississippi River with intermittently flooded bottomland hardwood forests and wetlands, and other consistent aquatic habitats. These increasing captures document the recent range expansion of northern snakehead. Most of the 11,300 ha Mingo basin consists of Mingo National Wildlife Refuge and Duck Creek Conservation Area; these areas are protected aquatic ecosystems possessing sensitive species and serve as a potential example of prioritized areas for northern snakehead control efforts. Additionally, we highlight the significance of these detections in the Mingo basin which is connected via the Castor River water-control structure to the Upper Mississippi River and may facilitate further range expansion.&nbsp;</p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre - REABIC","doi":"10.3391/bir.2026.15.1.17","usgsCitation":"Sterling, E.M., Bookout, T.A., Holmes, E., Baalman, N., Henderson, C., and Kroboth, P., 2026, Recent range expansion and documentation of a reproductive population of northern snakehead Channa argus (Cantor, 1842) in the Saint Francis River Drainage, Missouri: Records of Biological Invasions, v. 15, no. 1, p. 183-194, https://doi.org/10.3391/bir.2026.15.1.17.","productDescription":"12 p.","startPage":"183","endPage":"194","ipdsId":"IP-178255","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2026.15.1.17","text":"Publisher Index Page"},{"id":501172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Saint Francis River drainage","volume":"15","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterling, Edward M.","contributorId":365674,"corporation":false,"usgs":false,"family":"Sterling","given":"Edward","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bookout, Taylor A.","contributorId":336867,"corporation":false,"usgs":false,"family":"Bookout","given":"Taylor","email":"","middleInitial":"A.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":954594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holmes, Erin","contributorId":222739,"corporation":false,"usgs":false,"family":"Holmes","given":"Erin","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baalman, Neil","contributorId":365675,"corporation":false,"usgs":false,"family":"Baalman","given":"Neil","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":954596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Henderson, Cody","contributorId":344002,"corporation":false,"usgs":false,"family":"Henderson","given":"Cody","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":957094,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954597,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273733,"text":"70273733 - 2026 - Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field","interactions":[],"lastModifiedDate":"2026-01-26T15:10:31.49282","indexId":"70273733","displayToPublicDate":"2026-01-19T08:59:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field","docAbstract":"Hydrothermal explosions are a significant geological hazard in some active volcanic systems; however, the timing and triggering mechanisms of these explosions are poorly constrained. This study applies luminescence dating techniques to hydrothermal explosion deposits in the Yellowstone Plateau volcanic field to constrain explosion chronologies and evaluate potential triggering mechanisms. We tested four luminescence dating techniques: K-feldspar post-infrared infrared stimulated luminescence (pIRIR225), quartz blue light optically stimulated luminescence (BLOSL), quartz blue thermoluminescence (BTL), and quartz red thermoluminescence (RTL). The pIRIR225 and RTL protocols produce consistent age estimates that agree with independent radiocarbon ages and with the timing of the Pinedale deglaciation. This study focuses on two craters, Mary Bay, along the northern shore of Yellowstone Lake, and Pocket Basin in Lower Geyser Basin. The mean pIRIR225 ages from Mary Bay deposits (11.99 ± 0.68 ka) agree with previous radiocarbon constraints. The mean pIRIR225 results from Pocket Basin deposits (13.44 ± 1.06 ka) suggest a history of explosion following Pinedale deglaciation, followed by recent hydrothermal alteration. Luminescence dating techniques are a promising tool for reconstructing the timing of hydrothermal explosions in the Late Pleistocene and Holocene, helping to constrain recurrence intervals of the largest hydrothermal systems, informing risk, and improving hazard assessments.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2025.10061","usgsCitation":"Cordero, K., Brown, N., Harrison, L.N., and Hurwitz, S., 2026, Luminescence dating of hydrothermal explosions in the Yellowstone Plateau volcanic field: Quaternary Research, https://doi.org/10.1017/qua.2025.10061.","ipdsId":"IP-178437","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499314,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2025.10061","text":"Publisher Index Page"},{"id":499012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone Plateau volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.71800252281912,\n              45.31958933642079\n            ],\n            [\n              -111.71800252281912,\n              43.46105587528487\n            ],\n            [\n              -109.41177633037037,\n              43.46105587528487\n            ],\n            [\n              -109.41177633037037,\n              45.31958933642079\n            ],\n            [\n              -111.71800252281912,\n              45.31958933642079\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Cordero, Karissa","contributorId":365621,"corporation":false,"usgs":false,"family":"Cordero","given":"Karissa","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":954464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Nathan","contributorId":365623,"corporation":false,"usgs":false,"family":"Brown","given":"Nathan","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":954465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harrison, Lauren N.","contributorId":365624,"corporation":false,"usgs":false,"family":"Harrison","given":"Lauren","middleInitial":"N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":954466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":216321,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954467,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273871,"text":"70273871 - 2026 - The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry","interactions":[],"lastModifiedDate":"2026-02-11T15:13:43.569738","indexId":"70273871","displayToPublicDate":"2026-01-19T08:07:19","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The scale and magnitude of urban heating are often assessed using Satellite-Derived Land Surface Temperature (SD-LST). Yet, discrepancies in spatial resolution limit SD-LST’s ability to reflect pedestrian thermal experience, potentially leading to ineffective mitigation strategies. Hyper-local measurements of urban heat, defined as surface temperatures (T</span><sub>S</sub><span>) at the scale of pedestrian activity (e.g., bus stops or street segments), may provide more accurate insights into thermal comfort. This study compares hyper-local ~0.01 m resolution T</span><sub>S</sub><span>&nbsp;collected via consumer-grade Forward-Looking Infrared (FLIR) thermography with resampled 30 m resolution SD-LST from Landsat 8 and 9 images to evaluate their utility in predicting thermal comfort indices across 60 bus stops in Denver, Colorado. During the summer of 2023, 270 FLIR measurements were collected over 19 dates, with a four-day subset (</span><span class=\"html-italic\">n</span><span>&nbsp;= 33) coinciding with Landsat imagery. FLIR T</span><sub>S</sub><span>&nbsp;averaged 25.12 ± 5.39 °C, while SD-LST averaged 35.90 ± 12.56 °C, a significant 10.77 °C difference (95% CI: 6.81–14.73;&nbsp;</span><span class=\"html-italic\">p</span><span>&nbsp;&lt; 0.001). FLIR T</span><sub>S</sub><span>&nbsp;strongly correlated with biometeorological metrics such as air temperature and mean radiant temperature (r &gt; 0.8;&nbsp;</span><span class=\"html-italic\">p</span><span>&nbsp;&lt; 0.001), while SD-LST correlations were weak (r &lt; 0.3). Linear mixed-effects models using FLIR T</span><sub>S</sub><span>&nbsp;explained 50–66% of the variance in thermal comfort indices and met ISO 7726 standards. Each 1 °C increase in FLIR TS predicted a 0.75 °C rise in mean radiant temperature. These results highlight hyper-local thermography as a reliable, low-cost tool for urban heat resilience planning.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs18020348","usgsCitation":"Steinharter, L., Ibsen, P.C., deSouza, P., and McHale, M.R., 2026, The surface is not superficial: Utilizing hyper-local thermal photogrammetry for pedestrian thermal comfort inquiry: Remote Sensing, v. 18, no. 2, 348, 25 p., https://doi.org/10.3390/rs18020348.","productDescription":"348, 25 p.","ipdsId":"IP-183417","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18020348","text":"Publisher Index Page"},{"id":499747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.29210252650385,\n              39.926551113261525\n            ],\n            [\n              -105.29210252650385,\n              39.49581897348219\n            ],\n            [\n              -104.64227323476742,\n              39.49581897348219\n            ],\n            [\n              -104.64227323476742,\n              39.926551113261525\n            ],\n            [\n              -105.29210252650385,\n              39.926551113261525\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Steinharter, Logan","contributorId":366132,"corporation":false,"usgs":false,"family":"Steinharter","given":"Logan","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":955339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"deSouza, Priyanka","contributorId":366133,"corporation":false,"usgs":false,"family":"deSouza","given":"Priyanka","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":955341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHale, Melissa R.","contributorId":366135,"corporation":false,"usgs":false,"family":"McHale","given":"Melissa","middleInitial":"R.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":955342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273785,"text":"70273785 - 2026 - Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps)","interactions":[],"lastModifiedDate":"2026-01-29T16:13:58.576972","indexId":"70273785","displayToPublicDate":"2026-01-18T09:03:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (<i>Ochotona princeps</i>)","title":"Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps)","docAbstract":"<p>No abstract available.</p>","language":"English","doi":"10.1111/mec.70238","usgsCitation":"Beever, E.A., Osterhoudt, E., and Linck, E.B., 2026, Genomic evidence for local adaptation to elevation and climate sheds new light on variable responses to global change in American pikas (Ochotona princeps): Molecular Ecology, v. 35, no. 2, e70238, 3 p., https://doi.org/10.1111/mec.70238.","productDescription":"e70238, 3 p.","ipdsId":"IP-173486","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.70238","text":"Publisher Index Page"},{"id":499227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":954782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osterhoudt, Elizabeth 0009-0003-4493-1712","orcid":"https://orcid.org/0009-0003-4493-1712","contributorId":365782,"corporation":false,"usgs":false,"family":"Osterhoudt","given":"Elizabeth","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":954783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linck, Ethan B. 0000-0002-9055-6664","orcid":"https://orcid.org/0000-0002-9055-6664","contributorId":365783,"corporation":false,"usgs":false,"family":"Linck","given":"Ethan","middleInitial":"B.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":954784,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273819,"text":"70273819 - 2026 - Early Pliocene (Zanclean) sea surface temperature for PlioMIP3","interactions":[],"lastModifiedDate":"2026-02-13T16:33:10.554506","indexId":"70273819","displayToPublicDate":"2026-01-17T07:45:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Early Pliocene (Zanclean) sea surface temperature for PlioMIP3","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Paleoclimate researchers have been comparing Pliocene environmental data to paleoclimate model results since the 1980s. The Pliocene Model Intercomparison Project (PlioMIP) began in 2008 with a focus on the Late Pliocene. Here we assess the availability and utility of sea surface temperature (SST) data for verification of Pliocene Model Intercomparison Project (PlioMIP3) Early Pliocene (Zanclean) experiments. We analyze published data in terms of quantity and spatial distribution. Only SST estimates derived using alkenone paleo thermometry are reported, and all estimates are based upon the same temperature calibration. Sea surface temperature data are selected from within three distinct time intervals: The early Zanclean 5.3&nbsp;Ma – 4.2 Ma time slab, and two time slices within the early Zanclean, chosen by PlioMIP3 at 4.870&nbsp;Ma and 4.474&nbsp;Ma. Results show the early Zanclean time slab contains 2055 individual estimates. Approximately&nbsp;∼&nbsp;80% of these estimates come from Sites 609, 642, 846, 847, 882, 907, and 1146. There are 17 sites with a total of 42 estimates within the 4.474&nbsp;Ma ±10 kyr time slice, and 15 sites with a total of 47 data points within the 4.870&nbsp;Ma ±10 kyr interval. The sparse spatial and temporal distribution of Zanclean data, relative to the data available for the mid Piacenzian, makes point-by-point data model comparison suspect. We suggest interpreting model output against lower resolution long term trends in proxy data, and comparison of models through temperature gradients, may be the most useful application of currently available data. Integrating Zanclean age coastal plain sequences within data model comparison schemes, for increased understanding of regional climate impacts, also holds great potential.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2026.105293","usgsCitation":"Dowsett, H.J., and Foley, K.M., 2026, Early Pliocene (Zanclean) sea surface temperature for PlioMIP3: Global and Planetary Change, v. 259, 105293, 13 p., https://doi.org/10.1016/j.gloplacha.2026.105293.","productDescription":"105293, 13 p.","ipdsId":"IP-179866","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500092,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273819/full"},{"id":500091,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273819/70273819.XML"},{"id":499497,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"259","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":954924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Kevin M. 0000-0003-1013-462X kfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-1013-462X","contributorId":2543,"corporation":false,"usgs":true,"family":"Foley","given":"Kevin","email":"kfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":954925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274646,"text":"70274646 - 2026 - Compounding of 100-year coastal floods by rainfall in an urban environment","interactions":[],"lastModifiedDate":"2026-04-02T15:50:56.3047","indexId":"70274646","displayToPublicDate":"2026-01-16T10:46:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Compounding of 100-year coastal floods by rainfall in an urban environment","docAbstract":"<p><span>Coastal and pluvial flooding are both becoming more prevalent and severe due to climate change and urbanization in floodplains. The co-occurrence of these flood drivers is generally assumed to exacerbate the resulting flood impacts, a result referred to as compound flooding. However, few observational or modeling studies have investigated the circumstances under which this occurs. Here, we study the impacts of these combined flood drivers and evaluate the implicit hypothesis of official flood maps, which is that rainfall has a negligible impact on the flood depth and flooded area due to a 100 year coastal flood. A coastal system model, configured to capture coastal and pluvial flood drivers, is used. We evaluate the flooding for different urban landform types, including coastal landfill (human-made land), convergent areas (topographic depressions) and other urban terrain, within a model domain covering the Jamaica Bay watershed of New York City. A scenario-based strategy is adopted with a 100 year coastal flood as a control simulation, to which we add a set of realistic scenarios of rainfall data from historical tropical cyclones. We also apply a joint probability analysis framework with historical data to evaluate the probability of these compound coastal-pluvial scenarios. Results reveal cases where the pluvial driver compounds the coastal flood through expansion of the flood zone, with a 17% chance of rainfall increasing the flood area by 6%–38%, and a 5% chance of an increase of 61%–73%. It is rare that floods are significantly deepened but when deepening occurs, it is more common for the convergent zone than for the coastal landfill. These findings quantitatively assess the potential of the pluvial driver to exacerbate flooding, which may influence emergency management strategies such as evacuation plans, shelter arrangements, and related preparedness measures.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ae2a55","usgsCitation":"Kasaei, S., Orton, P.M., Wahli, T., Ralston, D.K., and Warner, J., 2026, Compounding of 100-year coastal floods by rainfall in an urban environment: Environmental Research Letters, v. 21, no. 2, 024007, 13 p., https://doi.org/10.1088/1748-9326/ae2a55.","productDescription":"024007, 13 p.","ipdsId":"IP-180316","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ae2a55","text":"Publisher Index Page"},{"id":502006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.5876977066029,\n              40.75954897283495\n            ],\n            [\n              -74.02868799233167,\n              40.684493367656756\n            ],\n            [\n              -74.05112050066245,\n              40.574457557184985\n            ],\n            [\n              -73.94306146662925,\n              40.54016116213248\n            ],\n            [\n              -73.76592672096606,\n              40.572895209977005\n            ],\n            [\n              -73.58988624400156,\n              40.57154570409608\n            ],\n            [\n              -73.5876977066029,\n              40.75954897283495\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasaei, Shima","contributorId":369142,"corporation":false,"usgs":false,"family":"Kasaei","given":"Shima","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":958539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orton, Phillip M.","contributorId":369143,"corporation":false,"usgs":false,"family":"Orton","given":"Phillip","middleInitial":"M.","affiliations":[{"id":28243,"text":"Stevens Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":958540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahli, Thomas","contributorId":201471,"corporation":false,"usgs":false,"family":"Wahli","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":958541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ralston, David K.","contributorId":369144,"corporation":false,"usgs":false,"family":"Ralston","given":"David","middleInitial":"K.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":958542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":958543,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273370,"text":"70273370 - 2026 - Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef degradation","interactions":[],"lastModifiedDate":"2026-02-23T16:20:35.591479","indexId":"70273370","displayToPublicDate":"2026-01-16T10:03:35","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":"Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef degradation","docAbstract":"<p><span>Degradation of coral reefs over the past several decades has caused regional-scale erosion of the shallow seafloor that serves as a protective barrier against coastal hazards along southeast Florida, USA. How future change in coral reefs may affect coastal flooding, however, has been less attended than other factors contributing to increasing risks such as sea-level rise and more intense storms. Here, the increased flooding hazard faced by Florida's coastal communities from the projected future degradation of its adjacent coral reefs is evaluated through oceanographic, coastal engineering, habitat, geospatial, and socioeconomic modeling. Risk-based valuation approaches were followed to map flood zones at 10-m</span><sup>2</sup><span>&nbsp;resolution along 430&nbsp;km of Florida's reef-lined coast for the current and projected future coral reef conditions. The projected degradation of Florida's coral reefs can increase annual flooding to more than 8.77&nbsp;km</span><sup>2</sup><span>&nbsp;of land and 4,980&nbsp;km of roads, affecting more than 7,315 people, $412.5 million in damages to 1,400 buildings, and economic disruption of $438.1 million annually (2024 US dollars). The degradation of Florida's coral reefs would increase the annual risk to people and structures by more than 42% and 47%, respectively, but is spatially variable due to the heterogeneous alongshore nature and distribution of the reefs and communities: the increased risk exceeds $1 million/km annually to more than 17% of the coastline but also disproportionately would affect vulnerable populations. These results help identify areas where coral reef protection could help reduce the projected increased storm flooding risk to Florida's coastal communities.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF006255","usgsCitation":"Storlazzi, C.D., Reguero, B., Yates, K., Alkins, K., Shope, J.B., Gaido-Lasserre, C., Fregoso, T., and Beck, M.W., 2026, Coral reef protection may help avert risks to people, property, and economic activity caused by projected reef eegradation: Earth's Future, v. 14, no. 1, e2025EF006255, 15 p., https://doi.org/10.1029/2025EF006255.","productDescription":"e2025EF006255, 15 p.","ipdsId":"IP-176207","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499445,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499622,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef006255","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.23010162208632,\n              25.552150467995233\n            ],\n            [\n              -80.47749742473422,\n              25.15141192176594\n            ],\n            [\n              -81.15433499801613,\n              24.779023140904116\n            ],\n            [\n              -82.17192528060517,\n              24.681509029413803\n            ],\n            [\n              -82.19059666193729,\n              24.452263270583572\n            ],\n            [\n              -80.7575681447126,\n              24.622115228348946\n            ],\n            [\n              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Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":953479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alkins, Kristen 0000-0003-3647-2678","orcid":"https://orcid.org/0000-0003-3647-2678","contributorId":341902,"corporation":false,"usgs":false,"family":"Alkins","given":"Kristen","affiliations":[{"id":37487,"text":"formerly USGS","active":true,"usgs":false}],"preferred":false,"id":953481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":953482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaido-Lasserre, Camila","contributorId":341891,"corporation":false,"usgs":false,"family":"Gaido-Lasserre","given":"Camila","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":953483,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fregoso, Theresa 0000-0001-7802-5812","orcid":"https://orcid.org/0000-0001-7802-5812","contributorId":364922,"corporation":false,"usgs":false,"family":"Fregoso","given":"Theresa","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":953484,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":953485,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274142,"text":"70274142 - 2026 - Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii","interactions":[],"lastModifiedDate":"2026-02-27T15:22:50.668772","indexId":"70274142","displayToPublicDate":"2026-01-16T09:14:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2821,"text":"Natural Areas Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, <i>Rana boylii</i>","title":"Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii","docAbstract":"<p><span>Conservation translocations are an increasingly common and often necessary component of recovering species that have become extirpated from portions of their range. Understanding and ameliorating potential threats that reduce the likelihood of successful population establishment at recipient sites is a key component of successful translocation planning. We examined multiple potential threats, including pathogens, contaminants, and invasive species, as well as habitat suitability and food resources, to assess the feasibility of reintroducing threatened, stream-obligate foothill yellow-legged frogs,&nbsp;</span><i>Rana boylii</i><span>, to Pinnacles National Park. Foothill yellow-legged frogs were extirpated from this protected area more than half a century ago. Although invasive species, disease, contaminants, food resources, and water temperatures are unlikely to inhibit foothill yellow-legged frog population establishment, potential recipient streams at Pinnacles National Park had shorter hydroperiods and much higher canopy cover than reference streams with extant foothill yellow-legged frog populations. Although the exact cause of extirpation of foothill yellow-legged frogs from Pinnacles National Park is unknown, translocations of foothill yellow-legged frogs to the park are more likely to succeed if riparian canopy cover is reduced and stream hydroperiods increased to better match those at nearby populations. Thoroughly understanding the threats to and characteristics of potential recipient sites could improve the likelihood of success of translocation outcomes in natural areas.</span></p>","language":"English","publisher":"BioOne","doi":"10.3375/2162-4399-46.1.5","usgsCitation":"Macias, D., Kleeman, P.M., Hladik, M.L., Smalling, K., Johnson, P.G., Grear, D.A., Rose, J.P., and Halstead, B.J., 2026, Conducting feasibility assessments of potential conservation reintroductions: A case study with the imperiled foothill yellow-legged frog, Rana boylii: Natural Areas Journal, v. 46, no. 1, p. 31-43, https://doi.org/10.3375/2162-4399-46.1.5.","productDescription":"13 p.","startPage":"31","endPage":"43","ipdsId":"IP-177308","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Pinnacles National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.28328712668666,\n              36.572411923460166\n            ],\n            [\n              -121.28328712668666,\n              36.38981467953627\n            ],\n            [\n              -121.0867615157555,\n              36.38981467953627\n            ],\n            [\n              -121.0867615157555,\n              36.572411923460166\n            ],\n            [\n              -121.28328712668666,\n              36.572411923460166\n            ]\n          ]\n        ],\n   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Center","active":true,"usgs":true}],"preferred":true,"id":956675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smalling, Kelly 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Paul G.","contributorId":367069,"corporation":false,"usgs":false,"family":"Johnson","given":"Paul","middleInitial":"G.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":956678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":956679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":215986,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian","email":"bhalstead@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956681,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273680,"text":"70273680 - 2026 - Hydrologic dynamics of ephemerally flooded playas in a dryland environment","interactions":[],"lastModifiedDate":"2026-01-22T15:09:31.639574","indexId":"70273680","displayToPublicDate":"2026-01-16T09:04:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic dynamics of ephemerally flooded playas in a dryland environment","docAbstract":"<p><span>Ephemerally flooded playas are common in the southwestern United States and globally in drylands. Often formed in closed basins, playas are depressions which inundate infrequently from local precipitation and streamflow produced near the playa or from upland areas. Few studies have quantified the hydrologic connectivity between upland catchments and playas using observations. Here, we used rain gauge-corrected precipitation from weather radar and water level measurements in 18 playas of the Chihuahuan Desert to identify precipitation thresholds leading to playa inundation over a 6.4-year period. Geospatial data sets on topography, soil properties, and vegetation cover were employed to determine the controls on inundation. Only 9.4% of all precipitation events above 1&nbsp;mm led to inundation, with 69.8% of all inundations occurring during the North American monsoon (NAM, July-September). Mean and standard deviations (Std) of runoff ratios at all playas were 2.74&nbsp;±&nbsp;4.08% and 3.29&nbsp;±&nbsp;5.19% for annual and NAM periods. At the annual scale, playa inundation occurred when mean precipitation thresholds of 18.3&nbsp;±&nbsp;7.5&nbsp;mm (event total) and 12.0&nbsp;±&nbsp;4.5&nbsp;mm/hr (60-min intensity) were exceeded. Across all playas, inundation occurrence and volume were related most strongly to precipitation metrics and catchment area, with secondary controls of soil and terrain properties. The explanatory power of the derived regressions describing the inundation response across the playas were significantly improved when considering their geological origin. As a result, the inundation response classification system could be applied to ephemeral playas in other arid and semiarid landscapes.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR038848","usgsCitation":"Kimsal, C.R., Vivoni, E.R., Sala, O.E., Monger, H.C., and McKenna, O.P., 2026, Hydrologic dynamics of ephemerally flooded playas in a dryland environment: Water Resources Research, v. 62, no. 1, e2024WR038848, 29 p., https://doi.org/10.1029/2024WR038848.","productDescription":"e2024WR038848, 29 p.","ipdsId":"IP-171696","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr038848","text":"Publisher Index Page"},{"id":498832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jornada Experimental Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.95352847780691,\n              32.77776073898063\n            ],\n            [\n              -106.95352847780691,\n              32.38877769427931\n            ],\n            [\n              -106.58893585904038,\n              32.38877769427931\n            ],\n            [\n              -106.58893585904038,\n              32.77776073898063\n            ],\n            [\n              -106.95352847780691,\n              32.77776073898063\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kimsal, Charles R.","contributorId":365427,"corporation":false,"usgs":false,"family":"Kimsal","given":"Charles","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vivoni, Enrique R.","contributorId":365428,"corporation":false,"usgs":false,"family":"Vivoni","given":"Enrique","middleInitial":"R.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sala, Osvaldo E.","contributorId":365429,"corporation":false,"usgs":false,"family":"Sala","given":"Osvaldo","middleInitial":"E.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monger, H. Curtis","contributorId":365430,"corporation":false,"usgs":false,"family":"Monger","given":"H.","middleInitial":"Curtis","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":954291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":954292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273514,"text":"70273514 - 2026 - Monitoring recreation on federally managed lands and waters—Aspects of visitor use","interactions":[],"lastModifiedDate":"2026-01-21T15:04:49.092865","indexId":"70273514","displayToPublicDate":"2026-01-16T09:00:10","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":23167,"text":"SocArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Monitoring recreation on federally managed lands and waters—Aspects of visitor use","docAbstract":"<p><span>Federally managed public lands and waters receive about 1 billion recreational visits each year. Data on these visitors can aid in guiding policy decisions, managing resources effectively, and communicating the economic contributions of lands and waters. This report explores the methods used by agencies to collect data on aspects of recreational visitor use to Federal lands and waters (apart from visitation numbers, which are the focus of a companion publication). Aspects of recreational visitor use include visitor demographics, recreational activity participation, visitor satisfaction, visitor attitudes and experiences, trip characteristics, and economic contributions. We review practices used to understand aspects of visitor use across seven Federal agencies, revealing similarities such as the use of visitor intercept surveys and coverage of similar topic area, and differences in how survey programs are operationalized and how specific questions on visitor surveys are worded. We also evaluate emerging technologies, such as geolocated social media and mobile device location data, for their potential to aid in understanding aspects of visitor use. This report concludes with potential opportunities to enhance data collection and coordination, ensuring cost-effective data collection and informed decision-making.</span></p>","language":"English","publisher":"SocArXiv","doi":"10.31235/osf.io/usq34_v1","usgsCitation":"Wilkins, E.J., Hanson, D., Boone, W., Wood, S., Crowley, C.S., and Schuster, R., 2026, Monitoring recreation on federally managed lands and waters—Aspects of visitor use: SocArXiv, preprint posted January 16, 2026, https://doi.org/10.31235/osf.io/usq34_v1.","productDescription":"71 p.","ipdsId":"IP-182473","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":498795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":954103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Dieta","contributorId":353967,"corporation":false,"usgs":false,"family":"Hanson","given":"Dieta","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boone, Whitney","contributorId":353968,"corporation":false,"usgs":false,"family":"Boone","given":"Whitney","affiliations":[{"id":82391,"text":"DOI Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":954105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wood, Spencer A. 0000-0002-5794-2619","orcid":"https://orcid.org/0000-0002-5794-2619","contributorId":334970,"corporation":false,"usgs":false,"family":"Wood","given":"Spencer A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowley, Christian S.L.","contributorId":203551,"corporation":false,"usgs":false,"family":"Crowley","given":"Christian","email":"","middleInitial":"S.L.","affiliations":[{"id":36651,"text":"Department of the Interior Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":954107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuster, Rudy 0000-0003-2353-8500 schusterr@usgs.gov","orcid":"https://orcid.org/0000-0003-2353-8500","contributorId":3119,"corporation":false,"usgs":true,"family":"Schuster","given":"Rudy","email":"schusterr@usgs.gov","affiliations":[],"preferred":true,"id":954108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273991,"text":"70273991 - 2026 - Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir","interactions":[],"lastModifiedDate":"2026-02-23T15:53:33.416884","indexId":"70273991","displayToPublicDate":"2026-01-16T08:47:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir","docAbstract":"<p>Objective</p><p><span>Georgetown Lake (Montana, USA) is renowned for its multispecies salmonid fishery. Although many anglers target kokanee&nbsp;</span><i>Oncorhynchus nerka</i><span>&nbsp;in Georgetown Lake, the body length of kokanee has typically been considered unsatisfactory. To reduce the density of kokanee and increase the average size, Montana Fish, Wildlife &amp; Parks began stocking the piscivorous Gerrard strain of Rainbow Trout&nbsp;</span><i>O. mykiss</i><span>&nbsp;(hereafter “Gerrard”) in 2015 to consume kokanee. In 2020, preliminary evidence suggested that the average length of kokanee greater than 200 mm increased by almost 40 mm.</span></p><p><span>Methods</span></p><p><span>To assess the efficacy of biocontrol through the introduction of a piscivore to predate on kokanee, we examined the diet composition of all potential predators (three strains of Rainbow Trout and Brook Trout&nbsp;<i>Salvelinus fontinalis</i>) to determine the amount of predation on kokanee and to understand the feeding ecology of all potential predators.</span></p><p><span>Results</span></p><p><span>There was little evidence of piscivory in any predator and no evidence of Gerrards consuming kokanee. Gerrards exhibited a generalist feeding strategy, and there was dietary overlap and no difference in trophic position among Gerrards and other predators.</span></p><p><span>Conclusions</span></p><p><span>From a biological-control perspective, there is no benefit in continuing to stock Gerrards to reduce kokanee densities in Georgetown Lake. These findings underscore the challenge of predicting predator–prey relationships, as diet plasticity can lead to unexpected dynamics based on resource availability and habitat structure within aquatic ecosystems, highlighting the importance of evaluating management interventions, such as biocontrols, in different ecosystems.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf116","usgsCitation":"Furey, K.M., Guy, C.S., Liermann, B.W., Saffel, P., Schmetterling, D.A., 2026, Gerrard strain Rainbow Trout are not piscivorous in a shallow, polymictic reservoir: North American Journal of Fisheries Management, v. 46, no. 1, p. 247-258, https://doi.org/10.1093/najfmt/vqaf116.","productDescription":"12 p.","startPage":"247","endPage":"258","ipdsId":"IP-176634","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Georgetown Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.34012730042863,\n              46.2254998227597\n            ],\n            [\n              -113.34012730042863,\n              46.1590036415387\n            ],\n            [\n              -113.24568530830683,\n              46.1590036415387\n            ],\n            [\n              -113.24568530830683,\n              46.2254998227597\n            ],\n            [\n              -113.34012730042863,\n              46.2254998227597\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Furey, Kaitlyn M.","contributorId":366522,"corporation":false,"usgs":false,"family":"Furey","given":"Kaitlyn","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":956025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":956026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liermann, Bradley W.","contributorId":366523,"corporation":false,"usgs":false,"family":"Liermann","given":"Bradley","middleInitial":"W.","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956027,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saffel, Patrick","contributorId":366524,"corporation":false,"usgs":false,"family":"Saffel","given":"Patrick","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956028,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmetterling, David A.","contributorId":366525,"corporation":false,"usgs":false,"family":"Schmetterling","given":"David","middleInitial":"A.","affiliations":[{"id":87492,"text":"Montana Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":956029,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273508,"text":"70273508 - 2026 - An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.","interactions":[],"lastModifiedDate":"2026-01-21T15:13:13.114286","indexId":"70273508","displayToPublicDate":"2026-01-16T08:04:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Standardizing facies descriptions has proven key to integrating interpretations of depositional processes and environments from sedimentologic observations with geochemistry data for mudstone lithologies. Because of their fine-grained nature, high degree of compaction, and heterogeneous composition, standardizing methods for mudstone descriptions has proven difficult, but it is critical to formulating meaningful interpretations of the processes that govern the accumulation of organic-rich lithologies and their role in both petroleum systems and the global carbon cycle. In this study, we have developed a modified facies classification scheme for mudstone lithologies that incorporates sedimentologic and compositional observation at the hand-sample and thin-section scales with geochemical measurements, including bulk organic and inorganic geochemistry, to characterize these rocks and their variability more completely for improved interpretations of depositional environments during a low-order sea-level transgression. The facies described in this study are of the Cenomanian–Turonian Greenhorn Formation in the USGS #1 Portland Core drilled in Fremont County, Colorado. Strata of the Greenhorn Formation span Oceanic Anoxic Event 2 (OAE-2) and the preceding interval. Lithologies range from organic-rich argillaceous mudstones with varied sedimentary structures to organic-lean, highly bioturbated limestones. Six facies were identified, each differentiated by varied sedimentary structures and geochemical composition. These facies occur in a predictable stratigraphic stacking pattern that represents a low-order sea-level transgression with interpreted depositional environments ranging from terrigenous-dominated pro-delta and muddy continental shelf at the base of the interval to pelagic offshore marine at the top of the Greenhorn Formation. Though the facies are consistent with previous interpretations of depositional environments at this locale in the Cretaceous Western Interior Seaway during the Greenhorn cyclothem, the sedimentary processes governing the accumulation of organic-rich strata that have defined this interval are significantly revised. Variability in the proximity and intensity of bottom currents driven by storms and geostrophic flows were key to the accumulation of each facies, with significant sediment transport occurring even through deposition in the most oxygen-depleted bottom waters. The methodology and interpretations provided here are now being employed to basin-scale predictions of organic enrichment utilizing calibrated petrophysical methods. The approach and results from this study improve understanding of how organic and inorganic carbon was sequestered during perturbations to the global carbon cycle associated with events such as OAE-2.</span></span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.2110/jsr.2024.138","usgsCitation":"Flaum, J.A., French, K.L., Birdwell, J.E., and Timm, K.K., 2026, An integrated mudstone facies classification scheme and revised interpretation of the sedimentologic processes driving carbon burial in the Cenomanian–Turonian Greenhorn Formation, Colorado, U.S.A.: Journal of Sedimentary Research, v. 96, no. 1, p. 1-23, https://doi.org/10.2110/jsr.2024.138.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-172359","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":498799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Fremont County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.0710390315544,\n              38.78981661569202\n            ],\n            [\n              -106.13236791392487,\n              37.86241312434697\n            ],\n            [\n              -104.5947771998546,\n              37.80870262042711\n            ],\n            [\n              -104.5650571117552,\n              38.76694004570902\n            ],\n            [\n              -106.0710390315544,\n              38.78981661569202\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":954085,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Timm, Kira K. 0000-0002-7439-4626","orcid":"https://orcid.org/0000-0002-7439-4626","contributorId":270009,"corporation":false,"usgs":true,"family":"Timm","given":"Kira","email":"","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274137,"text":"70274137 - 2026 - Quantifying post-fire live tree presence and spatial variation using Sentinel-2 time series","interactions":[],"lastModifiedDate":"2026-02-27T14:56:43.851841","indexId":"70274137","displayToPublicDate":"2026-01-16T07:50:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying post-fire live tree presence and spatial variation using Sentinel-2 time series","docAbstract":"<p><span data-mce-bogus=\"1\" data-mce-type=\"format-caret\"></span>Accurate mapping of post-fire surviving trees is important for tracking forest recovery and prioritizing land management decisions. Satellite-based remote sensing is an effective method to assess post-fire forest conditions. Traditionally, differenced satellite-derived burn severity indices are computed by differencing one year pre- and post-fire spectral reflectance values. Differenced burn severity indices are useful for quantifying and mapping the magnitude of ecological change, but their application to detecting and mapping post-fire live trees may not be as appropriate, particularly for delayed tree mortality. Delayed tree mortality (“delayed mortality”) is a phenomenon where trees that initially survive fire then die over an extended period (between one and five years), and it can be challenging to measure and predict. In this study, we demonstrate the potential of mapping delayed mortality using readily available remotely sensed imagery alone. We used random forest models to detect post-fire live trees using 10-m resolution Sentinel-2 data at one-, three-, and five-years post-fire for four fires in the southern Sierra Nevada, California, USA. Using imagery from the National Agriculture Imagery Program (NAIP; 60-cm resolution), we manually classified live tree presence in 6000 Sentinel-2 pixels (500 pixels for each fire-year combination) to calibrate and validate models. Sentinel-2 based model accuracies ranged from 65 % to 86 % with F-scores ranging from 0.52 to 0.86, and their predictions of live pixel area were on average 44 % lower than inferred from more traditional indices such as relative differenced normalized burn ratio (RdNBR). This work represents a promising first step in using freely available post-fire spectral reflectance imagery to detect live trees over an extended period to support post-fire management.</p><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2025.123461","usgsCitation":"Saberi, S.J., van Mantgem, P., Wright, M.C., Wong, C.Y., Latimer, A.M., and Young, D.J., 2026, Quantifying post-fire live tree presence and spatial variation using Sentinel-2 time series: Forest Ecology and Management, v. 605, 123461, 11 p., https://doi.org/10.1016/j.foreco.2025.123461.","productDescription":"123461, 11 p.","ipdsId":"IP-180306","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2025.123461","text":"Publisher Index Page"},{"id":500643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sequoia National Forest, Sierra National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.12109947611486,\n              37.015918722573474\n            ],\n            [\n              -119.12109947611486,\n              35.62728306165032\n            ],\n            [\n              -117.47104148650808,\n              35.62728306165032\n            ],\n            [\n              -117.47104148650808,\n              37.015918722573474\n            ],\n            [\n              -119.12109947611486,\n              37.015918722573474\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"605","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saberi, Saba J.","contributorId":367061,"corporation":false,"usgs":false,"family":"Saberi","given":"Saba","middleInitial":"J.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":956657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Christopher Y.S.","contributorId":367062,"corporation":false,"usgs":false,"family":"Wong","given":"Christopher","middleInitial":"Y.S.","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":956658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latimer, Andrew M.","contributorId":367063,"corporation":false,"usgs":false,"family":"Latimer","given":"Andrew","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Derek J.N.","contributorId":367064,"corporation":false,"usgs":false,"family":"Young","given":"Derek","middleInitial":"J.N.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":956660,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273386,"text":"sir20255084 - 2026 - Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve","interactions":[],"lastModifiedDate":"2026-02-03T17:07:56.82459","indexId":"sir20255084","displayToPublicDate":"2026-01-15T10:31:24","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5084","displayTitle":"Groundwater Tracing Used to Delineate Recharge Areas and Map Karst Groundwater Pathways for Subterranean Streams at Oregon Caves National Monument and Preserve","title":"Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve","docAbstract":"<p>Oregon Caves National Monument and Preserve in southwestern Oregon is a 4,554-​acre area managed by the National Park Service that is home to several cave systems, including Oregon Caves, which is the longest cave in Oregon, with 3.03 miles of mapped passages. Because of the interconnected nature of karst hydrologic systems, it is critical to understand the areas that can influence water quality and quantity in karst environments. Toward this goal, dye tracing was conducted by the U.S. Geological Survey from 2021 to 2024 to better understand the pathways that karst groundwater follows at Oregon Caves National Monument and Preserve and to delineate recharge areas for two caves, Oregon Caves and Cave Next Door. During the project, eight dye injections were conducted, delineating a 0.51-​square-​mile recharge area for Oregon Caves and a 0.69-​square-​mile recharge area for Cave Next Door. Additionally, the study helped to identify three resurgences associated with Oregon Caves that were previously unknown and showed that the recharge areas for the two caves were distinct from one another. The dye traces also illuminated some unique recharge characteristics of the karst at Oregon Caves, including a high variance in karst groundwater velocities, retention within the karst aquifers, and a significant diffuse-​flow component.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255084","issn":"2328-​0328","collaboration":"Prepared in cooperation with the National Park Service","programNote":"Water Availability and Use Science Program","usgsCitation":"Miller, B.V., 2026, Groundwater tracing used to delineate recharge areas and map karst groundwater pathways for subterranean streams at Oregon Caves National Monument and Preserve: U.S. Geological Survey Scientific Investigations Report 2025–5084, 33 p., https://doi.org/10.3133/sir20255084.","productDescription":"Report: viii, 33 p.; 2 Figures: 17.00 x 11.00 inches ; 3 Data Releases","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-168194","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498893,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119160.htm","linkFileType":{"id":5,"text":"html"}},{"id":498644,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084_fig17.pdf","text":"Figure 17, 17\" X 11\"","size":"7.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084, fig. 17"},{"id":498643,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084_fig05.pdf","text":"Figure 5, 17\" X 11\"","size":"4.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084, fig. 5"},{"id":498496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5084/coverthb.jpg"},{"id":498503,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KZCM54","text":"USGS Data Release","linkHelpText":"- National Land Cover Database (NLCD) 2019 Products (ver. 3.0, February 2024)"},{"id":498497,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5084/images"},{"id":498505,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QGEZH","text":"USGS Data Release","linkHelpText":"- Groundwater tracing used to delineate recharge areas for subterranean streams at Oregon Caves National Monument and Preserve"},{"id":498504,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13PDGYP","text":"USGS Data Release","linkHelpText":"- Seepage investigations and discharge measurements at Oregon Caves National Monument and Preserve, 2021–2024"},{"id":498502,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255084/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5084 HTML"},{"id":498501,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5084 XML"},{"id":498498,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5084/sir20255084.pdf","size":"46.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5084 pdf"}],"country":"United States","state":"Oregon","otherGeospatial":"Oregon Caves National Monument and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.44730735633678,\n              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100&nbsp;<br>Nashville, TN 37211&nbsp;<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2026-01-15","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Benjamin V. 0000-0003-4795-3442","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":346449,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"","middleInitial":"V.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953531,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273763,"text":"70273763 - 2026 - A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms","interactions":[],"lastModifiedDate":"2026-01-28T17:02:04.427675","indexId":"70273763","displayToPublicDate":"2026-01-15T09:55:04","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":"A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Critical water supply watersheds in the western United States (WUS) are impacted by wildfires, with potential negative effects on water quality and quantity. Scientific understanding is currently insufficient to deliver estimates of wildfire consequences for water quantity that are regionally accurate. Regional variability in the directionality and magnitude of post-wildfire shifts in streamflow generation fuels uncertainty in estimates of wildfire effects on water supply. In this work we provide a narrative review of wildfire effects on hydrologic processes and the resulting changes in streamflow generation mechanisms with a focus on the WUS, incorporating other global regions when pertinent. A conceptual model summary of wildfire effects on streamflow generation emphasizes: (1) precipitation seasonality, (2) synchrony of precipitation and potential evapotranspiration, (3) net shifts in interception, evaporation, and transpiration relative to total annual precipitation, (4) vegetation changes, including compensatory uptake and type conversion, (5) degree of overlap in rainfall rates and infiltration, (6) fire extent and severity, (7) burn scar positioning (e.g. in headwaters or proximal to watershed outlet), (8) scale-dependent groundwater leakage, (9) near-surface water storage reduction, and (10) soil to groundwater connectivity. Ongoing gaps and challenges include separating the influences of precipitation variability, water withdrawals, and post-fire land management; compound and overlapping disturbances; and lack of pre-fire data. Notable future opportunities include: harnessing ever-improving gridded and remotely sensed precipitation and fire-effects data; linking geophysical, isotopic tracer, and geochemical signatures to diagnose hydrologic changes; leveraging physically based and data-driven model advancements; and analyzing streamflow generation recovery trajectories across diverse watersheds.</span></span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/3033-4942/ae2a64","usgsCitation":"Ebel, B.A., Hammond, J., Walvoord, M.A., Partridge, T.F., Rey, D., and Murphy, S.F., 2026, A review and synthesis of post-wildfire shifts in hydrologic processes and streamflow generation mechanisms: Environmental Research: Water, v. 1, no. 4, 042001, 29 p., https://doi.org/10.1088/3033-4942/ae2a64.","productDescription":"042001, 29 p.","ipdsId":"IP-178244","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499330,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/3033-4942/ae2a64","text":"Publisher Index Page"},{"id":499183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -127.12193959016071,\n              49.09854340485592\n            ],\n            [\n              -127.12193959016071,\n              31.217992482905444\n            ],\n            [\n              -103.12645954620436,\n              31.217992482905444\n            ],\n            [\n              -103.12645954620436,\n              49.09854340485592\n            ],\n            [\n              -127.12193959016071,\n              49.09854340485592\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"1","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ebel, Brian A. 0000-0002-5413-3963 bebel@usgs.gov","orcid":"https://orcid.org/0000-0002-5413-3963","contributorId":218151,"corporation":false,"usgs":true,"family":"Ebel","given":"Brian","email":"bebel@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":954628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":954629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Partridge, Trevor Fuess 0000-0003-1589-4783","orcid":"https://orcid.org/0000-0003-1589-4783","contributorId":302668,"corporation":false,"usgs":true,"family":"Partridge","given":"Trevor","email":"","middleInitial":"Fuess","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":954631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":954632,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273478,"text":"70273478 - 2026 - Computation of regional groundwater budgets for the Virginia Coastal Plain aquifer system","interactions":[],"lastModifiedDate":"2026-01-16T14:45:03.556815","indexId":"70273478","displayToPublicDate":"2026-01-15T08:35:29","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Computation of regional groundwater budgets for the Virginia Coastal Plain aquifer system","docAbstract":"<p><span>Computation of detailed groundwater flow budgets for subdivisions of Virginia’s Coastal Plain aquifer system has enabled quantification and more thorough understanding of groundwater flow within this important water resource. A zone budget analysis conducted on previously published groundwater models of the Virginia Coastal Plain and Virginia Eastern Shore shows that groundwater conditions vary substantially throughout the Coastal Plain aquifer system due to local variations in hydrogeology and historical and ongoing variations in groundwater use and management. Decades of substantial groundwater withdrawal from the Coastal Plain aquifer system have fundamentally altered groundwater flow from pre-development conditions. Rates of sustainable withdrawal are limited because the downward groundwater flow rate into confined aquifers supplying groundwater is a relatively small portion of the total groundwater water budget for the aquifer system.</span><br><br><span>Analyses of groundwater budgets from the Virginia Coastal Plain model show that groundwater flow is generally outward from the surficial aquifer to rivers and coastal water bodies and downward through a series of underlying aquifers and confining units to the Potomac aquifer, which is the deepest aquifer and the source of most groundwater withdrawals. Downward flow into the Potomac aquifer currently is estimated to be only 7 percent of total net precipitation-derived net recharge at the land surface but makes up about 66 percent of inflow to the aquifer in Virginia, with much of the remaining inflow occurring laterally from areas outside of defined groundwater budget regions in Virginia. For several decades prior to 2010, high rates of withdrawal from the Potomac aquifer resulted in substantial decline in groundwater storage in the aquifer and in most overlying aquifers and confining units. From 2010 to 2025, rates of withdrawal substantially lower than the historical maximum have resulted in small net increases in groundwater storage in the confined aquifer system for most regions of the Virginia Coastal Plain. Nevertheless, for the same period, groundwater storage for the entire model domain continues to incrementally decline, indicating that storage recovery in Virginia is offset by a continued decrease in storage in areas beneath the Chesapeake Bay or in adjacent areas of Maryland and North Carolina. Withdrawals from the Potomac aquifer have induced substantial downward flow which is a large part of groundwater budgets for confined aquifers such as the Potomac. Downward groundwater flow continues under current conditions, but because vertical flow rates are a function of the difference between water pressure in the upper surficial systems and lower confined units, those rates are lower than those in earlier decades as the confined water levels partially recover from larger groundwater withdrawals in the past. Geographically, groundwater flow is generally inward from perimeter regions of the Virginia Coastal Plain toward central regions with the largest withdrawal rates. Estimated groundwater inflow from coastal regions could be contributing to saltwater intrusion, though that was not measured directly in this study.</span><br><br><span>Analyses of groundwater budgets from the Virginia Eastern Shore peninsula, a geographic region of the Virginia Coastal Plain, show that groundwater flow for that isolated aquifer system is generally outward from the surficial aquifer to coastal water bodies and downward into the confined Yorktown-Eastover aquifer system, which is the source of most withdrawals. Downward groundwater flow into the confined Yorktown-Eastover aquifer system is estimated to be less than 2 percent of total recharge and less than 9 percent of net recharge at the water table but makes up over 93 percent of all inflow to the confined aquifer system. Decades of substantial but relatively consistent groundwater withdrawals have induced greater downward flow rates into the confined aquifer system but also have resulted in loss of groundwater from storage. Currently, estimated storage loss accounts for slightly under 7 percent of withdrawals from the confined aquifer system. The current withdrawal rate from the confined Yorktown-Eastover system is near the highest reported rate for the Eastern Shore, which means that the storage depletion is expected to continue, even though groundwater levels appear to be relatively stable. Estimated groundwater flow rates upward from the confining unit underlying the Yorktown-Eastover system and small rates of inflow from coastal water bodies underscore ongoing concerns about up-coning and lateral intrusion of salty groundwater.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5HB5D","usgsCitation":"Pope, J.P., Gordon, A.D., and Frederiks, R.S., 2026, Computation of regional groundwater budgets for the Virginia Coastal Plain aquifer system: EarthArXiv, preprint posted January 15, 2026, https://doi.org/10.31223/X5HB5D.","productDescription":"120 p.","ipdsId":"IP-183047","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":498804,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GJEYW","text":"USGS data release","linkHelpText":"Input and Output files from the Zonebudget program used with MODFLOW models to compute regional groundwater budgets for the Virginia Coastal Plain aquifer system"},{"id":498735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true},{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gordon, Alison D. 0000-0002-9502-8633","orcid":"https://orcid.org/0000-0002-9502-8633","contributorId":221457,"corporation":false,"usgs":true,"family":"Gordon","given":"Alison","email":"","middleInitial":"D.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frederiks, Ryan S. 0000-0003-2400-2222","orcid":"https://orcid.org/0000-0003-2400-2222","contributorId":365185,"corporation":false,"usgs":false,"family":"Frederiks","given":"Ryan","middleInitial":"S.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":953879,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273506,"text":"70273506 - 2026 - Low-frequency earthquakes track the motion of a captured slab fragment","interactions":[],"lastModifiedDate":"2026-01-21T21:30:08.67821","indexId":"70273506","displayToPublicDate":"2026-01-15T08:27:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Low-frequency earthquakes track the motion of a captured slab fragment","docAbstract":"<p>Accurate tectonic models are essential for assessing seismic hazard and fault interactions. However, the plate configuration at the complex Mendocino triple junction, where the San Andreas Fault and the Cascadia subduction zone meet, remains uncertain. We analyzed fault slip associated with a recently identified zone of tectonic tremor and low-frequency earthquakes (LFEs) near the southern edge of the subducting Gorda slab. Based on tidal sensitivity and P-wave first motions, we show that the LFEs are generated by dipping, strike-slip motion. This suggests that a former Farallon slab fragment, now captured by the Pacific plate, is translating northward beneath westernmost North America. This geometry effectively extends the slab interface fault, challenging prevailing interpretations of slab window formation and creating a potential unaccounted earthquake hazard in this region.</p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aeb2407","usgsCitation":"Shelly, D.R., Thomas, A.M., Materna, K.Z., and Skoumal, R.J., 2026, Low-frequency earthquakes track the motion of a captured slab fragment: Science, v. 391, no. 6782, p. 294-299, https://doi.org/10.1126/science.aeb2407.","productDescription":"6 p.","startPage":"294","endPage":"299","ipdsId":"IP-180199","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":498811,"rank":3,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273506/full"},{"id":498810,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273506/70273506.XML"},{"id":498792,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"391","issue":"6782","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":954079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda M.","contributorId":200641,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":954080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Materna, Kathryn Z. 0000-0002-6687-980X","orcid":"https://orcid.org/0000-0002-6687-980X","contributorId":209697,"corporation":false,"usgs":false,"family":"Materna","given":"Kathryn","middleInitial":"Z.","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":954081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954082,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274087,"text":"70274087 - 2026 - Ground-motion simulations for the 2024 Mw 4.8 Tewksbury, New Jersey, earthquake","interactions":[],"lastModifiedDate":"2026-02-25T14:24:47.080909","indexId":"70274087","displayToPublicDate":"2026-01-15T08:01:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ground-motion simulations for the 2024 <i>M</i>w 4.8 Tewksbury, New Jersey, earthquake","title":"Ground-motion simulations for the 2024 Mw 4.8 Tewksbury, New Jersey, earthquake","docAbstract":"Ground-motion simulations of notable earthquakes in the central and eastern United States are limited and typically assume one-dimensional (1D) Earth structure. In this study, we use a three-dimensional (3D) seismic velocity model to better constrain the depth and focal mechanism of the April 5th, 2024, moment magnitude 4.8 Tewksbury earthquake and investigate the spatial variability of earthquake ground motions and the effects of nearby sedimentary basins. We perform earthquake ground-motion simulations up to 0.5 Hz using the 3D spectral-element wave-propagation solver SPECFEM3D over a region 280-km wide by 260-km long by 77-km deep. Topography and subsurface geophysical structure are assigned using the U.S. Geological Survey National Crustal Model with a minimum shear-wave velocity of 200 m/s. We use earthquake time series from 13 broadband seismic stations in the region that have a uniform azimuthal distribution and epicentral distances ranging from 76 to 131 km to compare with synthetics and explore the effects of 1D versus 3D seismic structure on focal mechanism and depth solutions. Ground-motion intensity metrics are also presented relative to the NGA-East ground-motion models (GMMs) currently used in seismic hazard assessments for the region. We find that the 3D model, which reveals a wide spatial variability of period-dependent ground motions, yields better predictions of earthquake ground motions relative to the 1D model and the NGA-East ergodic ground-motion model, with 76 percent reduction of residual variance in observed ground motions averaged over 3-, 5-, 7-, and 10-second periods. Use of the 3D model to solve for a focal mechanism yields a shallower focal depth at 4 km and a shallower east-dipping focal plane relative to the U.S. Geological Survey regional moment tensor and Global Centroid Moment Tensor. Our study demonstrates that use of 3D seismic velocity models can improve estimates of earthquake focal mechanisms, ground motions, and seismic hazard.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250333","usgsCitation":"Boyd, O.S., Bozdağ, E., Kehoe, H.L., Moschetti, M.P., 2026, Ground-motion simulations for the 2024 Mw 4.8 Tewksbury, New Jersey, earthquake: Seismological Research Letters, v. 97, no. 2A, p. 755-766, https://doi.org/10.1785/0220250333.","productDescription":"12 p.","startPage":"755","endPage":"766","ipdsId":"IP-184176","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500604,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250333","text":"Publisher Index Page"},{"id":500477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.13460496006654,\n              41.13685910148769\n            ],\n            [\n              -75.13460496006654,\n              40.31012949967425\n            ],\n            [\n              -74.00929946762524,\n              40.31012949967425\n            ],\n            [\n              -74.00929946762524,\n              41.13685910148769\n            ],\n            [\n              -75.13460496006654,\n              41.13685910148769\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2026-01-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bozdağ, Ebru","contributorId":365873,"corporation":false,"usgs":false,"family":"Bozdağ","given":"Ebru","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":956500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehoe, Haiyang Liam 0000-0002-5818-6077","orcid":"https://orcid.org/0000-0002-5818-6077","contributorId":362101,"corporation":false,"usgs":true,"family":"Kehoe","given":"Haiyang","middleInitial":"Liam","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":956501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956502,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273408,"text":"fs20263059 - 2026 - Assessment of undiscovered continuous and conventional oil and gas resources in the Woodford and Barnett Shales of the Permian Basin Province, Texas and New Mexico, 2025","interactions":[],"lastModifiedDate":"2026-02-03T17:07:11.184152","indexId":"fs20263059","displayToPublicDate":"2026-01-14T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3059","displayTitle":"Assessment of Undiscovered Continuous and Conventional Oil and Gas Resources in the Woodford and Barnett Shales of the Permian Basin Province, Texas and New Mexico, 2025","title":"Assessment of undiscovered continuous and conventional oil and gas resources in the Woodford and Barnett Shales of the Permian Basin Province, Texas and New Mexico, 2025","docAbstract":"<p class=\"MsoNormal\">Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean continuous and conventional resources of 1.6 billion barrels of oil and 28.3 trillion cubic feet of gas in the Woodford and Barnett Shales of the Permian Basin Province.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263059","programNote":"National and Global Petroleum Assessment","usgsCitation":"Cicero, A.D., Schenk, C.J., Lagesse, J.H., Johnson, B.G., Mercier, T.J., Leathers-Miller, H.M., Gelman, S.E., Hearon, J.S., and Le, P.A., 2026, Assessment of undiscovered continuous and conventional oil and gas resources in the Woodford and Barnett Shales of the Permian Basin Province, Texas and New Mexico, 2025:  U.S. Geological Survey Fact Sheet 2026–3059, 4 p., https://doi.org/10.3133/fs20263059.","productDescription":"Report: 4 p,; Data Release","onlineOnly":"Y","ipdsId":"IP-179456","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":498559,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13P5ZGT","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Permian Basin Province, Woodford Shale and Barnett Shale Conventional and Continuous Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":498556,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3059/coverthb.jpg"},{"id":498906,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119161.htm","linkFileType":{"id":5,"text":"html"}},{"id":498624,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263059/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3059"},{"id":498620,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3059/fs20263059.xml"},{"id":498619,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3059/images"},{"id":498557,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3059/fs20263059.pdf","text":"Report","size":"6.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3059"}],"country":"United States","state":"New Mexico, Texas","otherGeospatial":"Woodford and Barnett Shales","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105,\n              33\n            ],\n            [\n              -105,\n              30\n            ],\n            [\n              -101.5,\n              30\n            ],\n            [\n              -101.5,\n              33\n            ],\n            [\n              -105,\n              33\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Geologic Summary</li><li>Total Petroleum System and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2026-01-14","noUsgsAuthors":false,"publicationDate":"2026-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953608,"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":953609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":953611,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953612,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953613,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953614,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273745,"text":"70273745 - 2026 - More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies","interactions":[],"lastModifiedDate":"2026-01-27T17:06:11.432618","indexId":"70273745","displayToPublicDate":"2026-01-14T11:01:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies","docAbstract":"<p><span>The hydrologic regime of the upper Mississippi River (UMR) has become wetter, with greater discharges, longer-lasting high-flow conditions, and seasonal shifts in these patterns over the past several decades. How these changes are expressed spatially as floodplain inundation area, frequency, depth, duration, and timing is not well understood. It is also unclear to what degree spatial patterns of submergence are represented by examining discharge data alone. We assessed changes in floodplain inundation characteristics from 1940 to 2022 in navigation pools 3–10 of the UMR using a geospatial model to simulate daily inundation depths. Inundation characteristics shifted significantly across pools, but the direction and magnitude of change varied by pool and metric. Characteristics summarized at the pool scale correlated with streamgage-derived proxies but the strength of the relationship varied. Within pools, variability in inundation trends highlighted the importance of spatially explicit modeling. Our study demonstrates that changes in discharge over 83&nbsp;years have manifested across the UMR floodplain in ways that may have consequences for ecological patterns and processes. By mapping hydrologically sensitive areas, we can anticipate which areas may be susceptible to additional shifts in river discharge in a climatically uncertain future.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040614","usgsCitation":"Van Appledorn, M., De Jager, N.R., Rohweder, J.J., Windmuller-Campione, M., and Griffin, D., 2026, More water, more of the time: Spatial changes in flooding over 83 years in the upper Mississippi River floodplain and relationships with streamgage-derived proxies: Water Resources Research, v. 62, no. 1, e2025WR040614, 20 p., https://doi.org/10.1029/2025WR040614.","productDescription":"e2025WR040614, 20 p.","ipdsId":"IP-177472","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040614","text":"Publisher Index Page"},{"id":499099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Minnesota, Wiscosnin","otherGeospatial":"Upper Mississippi River floodplain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -94.18148467325908,\n              45.61816060242495\n            ],\n            [\n              -94.18148467325908,\n              42.68629353773204\n            ],\n            [\n              -90.60968047878275,\n              42.68629353773204\n            ],\n            [\n              -90.60968047878275,\n              45.61816060242495\n            ],\n            [\n              -94.18148467325908,\n              45.61816060242495\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Windmuller-Campione, Marcella","contributorId":292936,"corporation":false,"usgs":false,"family":"Windmuller-Campione","given":"Marcella","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":954528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Daniel","contributorId":203862,"corporation":false,"usgs":false,"family":"Griffin","given":"Daniel","email":"","affiliations":[{"id":36733,"text":"Department of Geography, Environment &Society, University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":954529,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273697,"text":"70273697 - 2026 - A new inventory and conservation assessment of United States islands","interactions":[],"lastModifiedDate":"2026-01-23T15:37:26.19888","indexId":"70273697","displayToPublicDate":"2026-01-14T09:24:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5419,"text":"Annals of the American Association of Geographers","active":true,"publicationSubtype":{"id":10}},"title":"A new inventory and conservation assessment of United States islands","docAbstract":"<p><span>To support conservation-focused research and management we developed a new 30-m resolution polygon data layer of the nonlacustrine and nonriverine islands of the United States, with associated attributes describing key physical and conservation geography characteristics. Islands were grouped into a three-tiered hierarchy of island regions (twelve), island provinces (twenty-eight), and individual islands (19,023). Islands were classified as either continental or oceanic based on their physiographic position relative to the North America continental shelf, and estuarine versus nonestuarine depending on their location within or external to estuaries. For each island we assessed the diversity of terrestrial and coastal ecosystems, the number of threatened and endangered (T&amp;E) species listed under the Endangered Species Act, the number of T&amp;E species critical habitats, the number of migratory bird species listed under the Migratory Bird Treaty Act, the number of Key Biodiversity Areas, and the number of and management responsibility for protected areas. We conclude that the conservation importance of islands is disproportionate to their total area as, for example, islands contain 52 percent of the T&amp;E species yet their total area is only 2 percent of the area of the continental mainland. Similarly, of the global total of 431 World Terrestrial Ecosystems, 201 (47 percent) occur on U.S. islands compared with 286 (66 percent) that occur on the U.S. continental mainland.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/24694452.2025.2604843","usgsCitation":"Sayre, R., Martin, M.T., Naji, N., Sides, K.B., Cress, J., Butler, K., Van Graafeiland, K., Karagulle, D., Frye, C., Breyer, S., Wright, D., Klavitter, J., Spatz, D., Will, D., Howald, G., Wegmann, A., Stanley, C., and Holmes, N., 2026, A new inventory and conservation assessment of United States islands: Annals of the American Association of Geographers, https://doi.org/10.1080/24694452.2025.2604843.","ipdsId":"IP-171404","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":499311,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/24694452.2025.2604843","text":"Publisher Index Page"},{"id":498993,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":302356,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":954313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Madeline T. 0000-0002-2704-1879","orcid":"https://orcid.org/0000-0002-2704-1879","contributorId":261694,"corporation":false,"usgs":true,"family":"Martin","given":"Madeline","email":"","middleInitial":"T.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":954314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naji, Nadia 0000-0001-9039-1655","orcid":"https://orcid.org/0000-0001-9039-1655","contributorId":360509,"corporation":false,"usgs":false,"family":"Naji","given":"Nadia","affiliations":[],"preferred":false,"id":954384,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sides, Kelly B. 0000-0003-1107-3355","orcid":"https://orcid.org/0000-0003-1107-3355","contributorId":360508,"corporation":false,"usgs":true,"family":"Sides","given":"Kelly","middleInitial":"B.","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":954316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cress, Jill Janene 0000-0002-3148-8374","orcid":"https://orcid.org/0000-0002-3148-8374","contributorId":213645,"corporation":false,"usgs":true,"family":"Cress","given":"Jill Janene","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Kevin","contributorId":358586,"corporation":false,"usgs":false,"family":"Butler","given":"Kevin","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":954318,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Graafeiland, Keith","contributorId":200271,"corporation":false,"usgs":false,"family":"Van Graafeiland","given":"Keith","email":"","affiliations":[{"id":18946,"text":"Environmental Systems Research Institute, Inc. (ESRI), Redlands, CA","active":true,"usgs":false}],"preferred":false,"id":954319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karagulle, Deniz","contributorId":365441,"corporation":false,"usgs":false,"family":"Karagulle","given":"Deniz","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":954320,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frye, Charlie","contributorId":267718,"corporation":false,"usgs":false,"family":"Frye","given":"Charlie","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":954321,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breyer, Sean","contributorId":213678,"corporation":false,"usgs":false,"family":"Breyer","given":"Sean","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":954322,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wright, Dawn","contributorId":267717,"corporation":false,"usgs":false,"family":"Wright","given":"Dawn","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":954323,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Klavitter, John","contributorId":196052,"corporation":false,"usgs":false,"family":"Klavitter","given":"John","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":954324,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Spatz, Dena","contributorId":261708,"corporation":false,"usgs":false,"family":"Spatz","given":"Dena","affiliations":[{"id":17933,"text":"Pacific Rim Conservation","active":true,"usgs":false}],"preferred":false,"id":954325,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Will, David","contributorId":365447,"corporation":false,"usgs":false,"family":"Will","given":"David","affiliations":[{"id":81757,"text":"Island Conservation","active":true,"usgs":false}],"preferred":false,"id":954326,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Howald, Gregg","contributorId":289411,"corporation":false,"usgs":false,"family":"Howald","given":"Gregg","email":"","affiliations":[{"id":62133,"text":"Advanced Conservation Strategies, Williamsburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":954327,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wegmann, Alex","contributorId":299151,"corporation":false,"usgs":false,"family":"Wegmann","given":"Alex","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":954328,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stanley, Charlotte K. 0000-0002-5019-4427","orcid":"https://orcid.org/0000-0002-5019-4427","contributorId":358047,"corporation":false,"usgs":false,"family":"Stanley","given":"Charlotte K.","affiliations":[{"id":85576,"text":"The Nature Conservancy, San Francisco, California","active":true,"usgs":false}],"preferred":false,"id":954329,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Holmes, Nick","contributorId":365451,"corporation":false,"usgs":false,"family":"Holmes","given":"Nick","affiliations":[{"id":87140,"text":"Tha Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":954330,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
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