{"pageNumber":"26","pageRowStart":"625","pageSize":"25","recordCount":185258,"records":[{"id":70274534,"text":"70274534 - 2026 - Variation in pathogen load and the pathogen load–infectiousness relationship broaden avian malaria’s distribution","interactions":[],"lastModifiedDate":"2026-03-31T14:52:46.566345","indexId":"70274534","displayToPublicDate":"2026-02-10T09:49:29","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Variation in pathogen load and the pathogen load–infectiousness relationship broaden avian malaria’s distribution","docAbstract":"<p><span>Two aspects of host infectiousness shape pathogen transmission and distribution but are underappreciated: the relationship between pathogen load and infectiousness, and variability in pathogen load within species. We quantified the relationship between host pathogen load (parasitemia) for avian malaria (</span><i>Plasmodium relictum</i><span>) and infectiousness for biting&nbsp;</span><i>Culex quinquefasciatus</i><span>&nbsp;mosquitoes with experimental infections in canaries (</span><i>Serinus canaria</i><span>). Using this relationship, we estimated the infectiousness of 17 bird species in 11 communities in Hawaiʻi and quantified the relative contributions of infection stage (acute versus chronic) to transmission. We show that infectiousness to mosquitoes increased with parasitemia, temperature, and time since feeding. The relationship’s gradual (low) parasitemia slope resulted in a wide range of parasitemias being partly infectious, and high within-host species variability in parasitemia led to extensive overlap in infectiousness among hosts. Disproportionate mosquito host utilization (inferred from relative infection prevalence) elevated the importance of a few host species, yet broad overlap in species infectiousness resulted in similar total infectiousness across most bird communities. This similarity likely contributed to avian malaria’s widespread distribution throughout Hawaiʻi despite diverse host community assemblages. Our findings highlight the importance of both the shape of the pathogen load–infectiousness relationship and within-species variability in determining a pathogen’s host range, transmission intensity, and spatial spread.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-026-68927-x","usgsCitation":"Seidl, C., Parise, K., Ipsaro, I., Leach, S., Hays, D., Morimoto, R., Banister, K., Ferreria, F., Abraham, E.C., Foster, J.T., Paxton, E.H., and Kilpatrick, A.M., 2026, Variation in pathogen load and the pathogen load–infectiousness relationship broaden avian malaria’s distribution: Nature Communications, v. 17, 1213, 12 p., https://doi.org/10.1038/s41467-026-68927-x.","productDescription":"1213, 12 p.","ipdsId":"IP-171339","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":502071,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-68927-x","text":"Publisher Index Page"},{"id":501858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2026-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Seidl, Christa","contributorId":368934,"corporation":false,"usgs":false,"family":"Seidl","given":"Christa","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parise, Katy L.","contributorId":349824,"corporation":false,"usgs":false,"family":"Parise","given":"Katy L.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":958133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ipsaro, Isaiah","contributorId":368935,"corporation":false,"usgs":false,"family":"Ipsaro","given":"Isaiah","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leach, Sarah","contributorId":368936,"corporation":false,"usgs":false,"family":"Leach","given":"Sarah","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hays, Delson","contributorId":368937,"corporation":false,"usgs":false,"family":"Hays","given":"Delson","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morimoto, Ranger","contributorId":368938,"corporation":false,"usgs":false,"family":"Morimoto","given":"Ranger","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banister, Kelsey","contributorId":368939,"corporation":false,"usgs":false,"family":"Banister","given":"Kelsey","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":958138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ferreria, Francisco","contributorId":368940,"corporation":false,"usgs":false,"family":"Ferreria","given":"Francisco","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":958139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Abraham, Elizabeth C. 0000-0003-1024-0975","orcid":"https://orcid.org/0000-0003-1024-0975","contributorId":300996,"corporation":false,"usgs":false,"family":"Abraham","given":"Elizabeth","email":"","middleInitial":"C.","affiliations":[{"id":39456,"text":"USGS-PIERC (formerly)","active":true,"usgs":false}],"preferred":false,"id":958140,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Foster, Jeffrey T.","contributorId":177905,"corporation":false,"usgs":false,"family":"Foster","given":"Jeffrey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":958141,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":958142,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kilpatrick, A. Marm","contributorId":368941,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"A.","middleInitial":"Marm","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":958143,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
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In 2020, the North Central Climate Adaptation Science Center began a project to establish a baseline of information to best serve grassland managers (that is, those individuals who develop grassland management plans, implement those plans on the ground, or both) at Federal, State, and Tribal agencies; nongovernmental organizations; and partnerships to help meet regional grassland management goals. This chapter presents the main findings from the review and synthesis of 183 grassland management-related documents relevant to the North Central region. Specifically, this chapter describes the methods by which grassland management-related documents were identified, reviewed, and synthesized; defines five North Central Grassland Ecoregions; provides a synthesis of regional grassland management goals and challenges; identifies information needs relevant to grassland management in a changing climate; and summarizes grassland management issues by ecoregion.&nbsp;</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20255018A","collaboration":"Prepared in cooperation with the University of Colorado Boulder","programNote":"Climate Adaptation Science Centers","usgsCitation":"Miller Hesed, C.D., and Yocum, H.M., eds., 2026, Background, methods, goals, challenges, opportunities, and information needs, chap. A <i>of</i> Grassland management priorities for the North Central region: U.S. Geological Survey Scientific Investigations Report 2025–5018–A, 108 p., https://doi.org/10.3133/sir20255018A.","productDescription":"Report: xiii, 108 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-137574","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":504952,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20255018B","text":"SIR 2025-5018-B","linkHelpText":"Summaries of Goals, Actions, and Information Needs by Management Entity"},{"id":499679,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PCQHA2","text":"USGS data release","linkHelpText":"Broadly Shared Information Needs Among Grassland Managers in the North Central 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 \"}}]}","contact":"<p>Regional Administrator, <a href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/north-central-casc/\" data-mce-href=\"https://www.usgs.gov/programs/climate-adaptation-science-centers/north-central-casc/\">North Central Climate Adaptation Science Center</a><br>U.S. Geological Survey<br>University of Colorado - Boulder<br>Sustainability, Energy and Environment Community<br>4001 Discovery Dr., Suite 348 <br>Boulder, CO 80303</p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Executive Summary</li><li>Section A1. Background and Methods&nbsp;</li><li>Section A2. Introduction to the North Central Grassland Ecoregions&nbsp;</li><li>Section A3. Grassland Management Goals, Challenges, and Information Needs</li><li>Section A4. Differentiating Threats and Management Opportunities by Grassland Ecoregion </li><li>Glossary</li><li>Appendix A1. Grassland Management-Related Documents Used in Synthesis</li><li>Appendix A2. Methods Used to Create Maps and Calculate Acreages</li></ul>","publishingServiceCenter":{"id":7,"text":"Ft. Lauderdale PSC"},"publishedDate":"2026-02-10","noUsgsAuthors":false,"publicationDate":"2026-02-10","publicationStatus":"PW","contributors":{"editors":[{"text":"Miller Hesed, Christine D. 0000-0003-1644-1962","orcid":"https://orcid.org/0000-0003-1644-1962","contributorId":304175,"corporation":false,"usgs":false,"family":"Miller Hesed","given":"Christine","middleInitial":"D.","affiliations":[{"id":12502,"text":"University of Colorado - Boulder","active":true,"usgs":false}],"preferred":false,"id":955307,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Yocum, Heather M. 0000-0002-3754-4330","orcid":"https://orcid.org/0000-0002-3754-4330","contributorId":265513,"corporation":false,"usgs":false,"family":"Yocum","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":54706,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":955308,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70273977,"text":"70273977 - 2026 - Using structured decision making to evaluate the tradeoffs of selective fish passage","interactions":[],"lastModifiedDate":"2026-04-20T15:51:08.765235","indexId":"70273977","displayToPublicDate":"2026-02-10T07:58:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Using structured decision making to evaluate the tradeoffs of selective fish passage","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Dams have dramatically altered rivers and are a major contributor to native fish population declines. However, many dams serve important ecological, social, and economic functions, such as flood control, invasive species control, and provision of recreational opportunities. Therefore, dam removal is often contentious among stakeholders and involves making tradeoffs among multiple competing objectives. This research uses structured decision making to evaluate the ecological, social, and economic consequences and tradeoffs of enhancing connectivity for migratory fishes in the Boardman River, Michigan. We describe efforts to engage a diverse group of stakeholders to elicit their objectives under various fish passage alternatives. We used multi-attribute tradeoff methods to help stakeholders weigh the costs and benefits of enhancing connectivity for several fish species with varying life history traits and initial distributions. We found that the optimal alternative was passage of native fishes only; however, the optimal alternative varied based on the weight stakeholders might place on each objective. We created four objective weighting scenarios to evaluate the sensitivity of the optimal alternative to changes in objective weights. This research will help inform decision-makers on fish passage alternatives that are preferred by stakeholders and that are likely to achieve their objectives.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.70234","usgsCitation":"Flinn, S., Muir, A.M., and Robinson, K.F., 2026, Using structured decision making to evaluate the tradeoffs of selective fish passage: Conservation Science and Practice, v. 8, no. 4, e70234, 18 p., https://doi.org/10.1111/csp2.70234.","productDescription":"e70234, 18 p.","ipdsId":"IP-173409","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500400,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500830,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.70234","text":"Publisher Index Page"}],"country":"United States","state":"Michigan","otherGeospatial":"Boardman River, northwest lower peninsula of Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.14564739370071,\n              45.55888889464856\n            ],\n            [\n              -86.14564739370071,\n              44.58153097113956\n            ],\n            [\n              -84.73667772286038,\n              44.58153097113956\n            ],\n            [\n              -84.73667772286038,\n              45.55888889464856\n            ],\n            [\n              -86.14564739370071,\n              45.55888889464856\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinn, Shane","contributorId":353643,"corporation":false,"usgs":false,"family":"Flinn","given":"Shane","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":955968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muir, Andrew M.","contributorId":366474,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":955969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":955970,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274086,"text":"70274086 - 2026 - Preface to the focus section on intraplate earthquakes","interactions":[],"lastModifiedDate":"2026-02-24T15:00:12.785791","indexId":"70274086","displayToPublicDate":"2026-02-10T07:54:52","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}},"title":"Preface to the focus section on intraplate earthquakes","docAbstract":"More than a half century after plate tectonics provided an overarching framework to explain earthquakes along active plate boundaries, numerous theories have been proposed to explain where, why, and how often earthquakes occur well away from active plate boundaries, but a paradigm remains elusive. Even the classification of earthquakes away from active plate boundaries as \"intraplate\" raises issues, with potentially important distinctions between Stable Continental Regions and more actively deforming regions including passive margins and failed rifts. Some of the largest known intraplate earthquakes themselves remain enigmatic, having occurred before the modern instrumental era. Hazard assessments are often data-limited: low fault-slip rates relative to landscape modification rates result in poor discoverability of fault sources, challenging the characterization of source zones and earthquake recurrence; the completeness and homogenization of instrumental earthquake catalogs using uncertain magnitude conversions can lead to uncertainties in earthquake recurrence; and, limited strong-motion observations for large-magnitude events at near-source distances leads to uncertainties in the selection and development of ground-motion models for seismic hazard studies. Data from recent intraplate earthquakes around the world—from the moment magnitude M 7.7 2001 Bhuj, India, earthquake 25 years ago to the 2024 M 4.8 Tewksbury, New Jersey earthquake—have yielded both new insights and new questions. The papers in this special focus discuss many of the long-standing challenges involved with intraplate earthquake investigations and provide a snapshot of the state of the art with current research to advance our understanding.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220260004","usgsCitation":"Allen, T.I., Hough, S.E., Boyd, O.S., Waldhauser, F., Assumpcao, M., 2026, Preface to the focus section on intraplate earthquakes: Seismological Research Letters, v. 97, no. 2A, p. 619-625, https://doi.org/10.1785/0220260004.","productDescription":"7 p.","startPage":"619","endPage":"625","ipdsId":"IP-184917","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":500602,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220260004","text":"Publisher Index Page"},{"id":500476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2026-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. 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,{"id":70275181,"text":"70275181 - 2026 - Assessing pesticide application contributions of per- and polyfluoroalkyl substances (PFAS) in agricultural streams","interactions":[],"lastModifiedDate":"2026-04-21T14:48:00.167925","indexId":"70275181","displayToPublicDate":"2026-02-10T07:40:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Assessing pesticide application contributions of per- and polyfluoroalkyl substances (PFAS) in agricultural streams","docAbstract":"Research has documented per-and polyfluoroalkyl substances (PFAS) to be prevalent in streams impacted by urban sources; less is known regarding PFAS contributions via pesticide applications: PFAS coming from pesticide containers and “inert” ingredients not listed on pesticide formulation labels. To better understand co-occurrence of pesticides and PFAS in agricultural streams, 10 streams were sampled in two agricultural valleys in northern California, USA during two periods of pesticide application (May and July of 2024). Water samples were analyzed for 183 pesticides and 57 PFAS. Sixty pesticides were detected: 23 herbicides, 18 insecticides, 18 fungicides, and 1 synergist. Overall detection frequencies (DF) ranged from 0 to 100%, and concentrations ranged from non-detect (ND) to 782 ng/L (fluxapyroxad). Fourteen PFAS were detected: 6 perfluoroalkyl carboxylates, 5 perfluoroalkyl sulfonates, 2 perfluoroalkyl acid precursors, and 1 perfluoroalkyl phosphinic acid with DFs ranging from 0 to 60% (PFOA) and concentrations ranging from ND to 20 ng/L (PFBA). Co-occurrence of PFAS and pesticides was observed in 80% of samples. Adopting the global definition of PFAS (includes fluorinated pesticides), pesticide applications are a likely source of instream PFAS. Examination of total organic fluorine and transformations to terminal and ultra-short PFAS could further elucidate pesticide contributions to environmental PFAS.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.6c00132","usgsCitation":"Woodward, E.E., Hladik, M.L., Orlando, J., Uychutin, M., Gray, J.L., and Kolpin, D., 2026, Assessing pesticide application contributions of per- and polyfluoroalkyl substances (PFAS) in agricultural streams: Environmental Science & Technology Letters, v. 13, no. 4, p. 586-593, https://doi.org/10.1021/acs.estlett.6c00132.","productDescription":"8 p.","startPage":"586","endPage":"593","ipdsId":"IP-179149","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":503439,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.6c00132","text":"Publisher Index Page"},{"id":503267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley, San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.75011070222405,\n              40.04218778358725\n            ],\n            [\n              -122.75011070222405,\n              37.04490168579687\n            ],\n            [\n              -119.7854685554131,\n              37.04490168579687\n            ],\n            [\n              -119.7854685554131,\n              40.04218778358725\n            ],\n            [\n              -122.75011070222405,\n              40.04218778358725\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":357549,"corporation":false,"usgs":false,"family":"Orlando","given":"James L.","affiliations":[{"id":85456,"text":"USGS California Water Science Center","active":true,"usgs":false}],"preferred":false,"id":959897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uychutin, Matthew 0000-0003-2677-7902","orcid":"https://orcid.org/0000-0003-2677-7902","contributorId":339824,"corporation":false,"usgs":true,"family":"Uychutin","given":"Matthew","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gray, James L. 0000-0002-0807-5635","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":205658,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true}],"preferred":true,"id":959899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959900,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273941,"text":"70273941 - 2026 - Post-wildfire water quality and aquatic ecosystem response in the U.S. Pacific Northwest: science and monitoring gaps","interactions":[],"lastModifiedDate":"2026-02-18T14:40:29.316588","indexId":"70273941","displayToPublicDate":"2026-02-10T07:28:31","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":"Post-wildfire water quality and aquatic ecosystem response in the U.S. Pacific Northwest: science and monitoring gaps","docAbstract":"<p><span>An increase in the occurrence of large, high severity wildfires in the western Pacific Northwest (PNW), USA, has created an urgent need for science to better inform forest management and policy decisions to maintain source water quality in the region. The western PNW faces similar challenges to other regions with shifting wildfire regimes and large population centers reliant on surface water from forested catchments. However, the uniquely wet and highly seasonal climate of the western PNW suggests that findings from other, more frequently burned regions may not be directly applicable. To identify science, monitoring, and management gaps and opportunities in the western PNW, this review was collaboratively undertaken by academics, non-government and industry representatives, and local, state, and federal government entities who have been working together since the 2020 Labor Day fires in Oregon. Focusing on Oregon and Washington, we found that monitoring networks for continuous water quantity and quality cover much of the state with greater representation in western U.S. ecoregions, but few studies have analyzed and published these data to capture and communicate the post-wildfire response. Approximately half of the streamgages in Oregon and Washington record major water quality parameters, and hundreds of sites in the area have discrete sampling for a wide range of water quality constituents. Still, numerous gaps exist in understanding the short- and long-term impacts of wildfire on hydrology, water chemistry, including pH and dissolved oxygen, mobilization of metals, aquatic ecosystems, and downstream drinking water treatment. Collective action to further collect, analyze, interpret, and publish the key data could help improve our understanding of post-wildfire water quality impacts in this and other increasingly wildfire-affected regions.</span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/3033-4942/ae36cb","usgsCitation":"Wall, S., Compton, J.E., Coble, A.A., Haley, B.M., Lin, J., Myers-Pigg, A., Reale, J.K., Wampler, K., Swartz, A., Moffett, K., Bladon, K.D., Carpenter, K., Chang, H., Chen, J., Donahue, D., Eckley, C.S., Hohner, A.K., Kiffney, P.M., Miralha, L., Regier, P., Seeds, J., and River, M., 2026, Post-wildfire water quality and aquatic ecosystem response in the U.S. Pacific Northwest: science and monitoring gaps: Environmental Research: Water, no. 2, 015004, 31 P., https://doi.org/10.1088/3033-4942/ae36cb.","productDescription":"015004, 31 P.","ipdsId":"IP-181756","costCenters":[{"id":518,"text":"Oregon Water Science 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USA","active":true,"usgs":false}],"preferred":false,"id":955852,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Seeds, Joshua","contributorId":366414,"corporation":false,"usgs":false,"family":"Seeds","given":"Joshua","affiliations":[{"id":87478,"text":"Oregon Department of Environmental Quality, Water Quality Division","active":true,"usgs":false}],"preferred":false,"id":955853,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"River, Mark 0009-0005-4967-8087","orcid":"https://orcid.org/0009-0005-4967-8087","contributorId":366415,"corporation":false,"usgs":false,"family":"River","given":"Mark","affiliations":[{"id":56610,"text":"Weyerhaeuser Company","active":true,"usgs":false}],"preferred":false,"id":955854,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70273824,"text":"fs20253051 - 2026 - Bascom Laser Diffraction Sedimentology Laboratory, Reston, Virginia","interactions":[],"lastModifiedDate":"2026-02-10T14:58:51.098269","indexId":"fs20253051","displayToPublicDate":"2026-02-09T12:30:00","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":"2025-3051","displayTitle":"Bascom Laser Diffraction Sedimentology Laboratory, Reston, Virginia","title":"Bascom Laser Diffraction Sedimentology Laboratory, Reston, Virginia","docAbstract":"<h1>Introduction&nbsp;</h1><p>At the Bascom Laser Diffraction Sedimentology Laboratory, which is located in the Florence Bascom Geoscience Center at U.S. Geological Survey (USGS) headquarters in Reston, Virginia, scientists use physical sedimentology and particle characterization techniques to conduct detailed sediment characterization. Scientists address research problems in collaboration with other USGS science centers, State geological surveys, commercial industry, universities, and other partners. Laboratory capabilities include laser diffractometry for quantitative particle-size analysis, portable x-ray fluorescence (XRF) analysis for determining elemental abundances in rock or sediment samples, petrographic analysis of geologic media, and mechanical sieve analysis. These methods are used to analyze soil and sediment core material from terrestrial, marine, and lacustrine environments, surface sediments from coastal regions, and calcareous materials. Work done by the laboratory supports geologic mapping, resource assessments, land change studies, and geohazard analyses.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253051","usgsCitation":"Colip, Grant D., 2026, Bascom Laser Diffraction Sedimentology Laboratory, Reston, Virginia: U.S. Geological Survey Fact Sheet 2025–3051, 4 p., https://doi.org/10.3133/fs20253051.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-180629","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3051/coverthb.jpg"},{"id":499523,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3051/fs20253051.pdf","size":"1.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3051 PDF"},{"id":499524,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253051/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3051 HTML"},{"id":499525,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3051/fs20253051.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3051 XML"},{"id":499526,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3051/images/"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Laser Diffractometry</li><li>Sediment Characterization</li><li>Research Applications</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2026-02-09","noUsgsAuthors":false,"publicationDate":"2026-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Colip, Grant D. 0000-0003-4093-3107 gcolip@usgs.gov","orcid":"https://orcid.org/0000-0003-4093-3107","contributorId":223567,"corporation":false,"usgs":true,"family":"Colip","given":"Grant","email":"gcolip@usgs.gov","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955032,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274559,"text":"70274559 - 2026 - Stepovers and beyond: Structural control of The Geysers geothermal system and the broader Clear Lake region","interactions":[],"lastModifiedDate":"2026-03-30T16:05:54.109213","indexId":"70274559","displayToPublicDate":"2026-02-09T10:47:36","publicationYear":"2026","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Stepovers and beyond: Structural control of The Geysers geothermal system and the broader Clear Lake region","docAbstract":"<p>Fault geometry exerts a first-order control on geothermal systems by governing stress localization, fracture development, and permeability, yet in complex fault networks or broader shear zones, the relative influence of individual geometric features is often difficult to resolve. In the northern California Coast Ranges, The Geysers geothermal field is commonly interpreted to occur within a releasing stepover, although no single, clearly defined stepover is identified in published studies. To investigate the structural controls on The Geysers and the broader Clear Lake region, a two-dimensional elastic boundary element model is developed to evaluate spatial patterns of dilational strain associated with progressively more complete fault geometries. Model results show that dilation in the region is not controlled by a single structure but instead reflects the combined effects of multiple interacting fault elements. Three primary controls are identified: (1) opposing bends in the regional strike-slip fault system, including a releasing bend along the Maacama fault; (2) the southern fault tip of the Collayomi fault, which generates a prominent dilational lobe beneath the southern Geysers; and (3) a releasing stepover between the Collayomi fault and the Geyser Peak–Mercuryville–Big Sulphur Creek fault system, inferred to collectively behave as a right-lateral shear zone bounding the western margin of The Geysers. Predicted dilational strain magnitudes are sufficient to localize permeability between faults. These results highlight that incorporating complete fault networks and bedrock geological mapping can enhance geothermal assessments and provide a transferable framework for evaluating structurally controlled permeability in tectonically active regions.&nbsp;</p>","conferenceTitle":"51st Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 9-11, 2026","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford","usgsCitation":"Melosh, B.L., 2026, Stepovers and beyond: Structural control of The Geysers geothermal system and the broader Clear Lake region, 51st Workshop on Geothermal Reservoir Engineering, Stanford, CA, February 9-11, 2026, 10 p.","productDescription":"10 p.","ipdsId":"IP-185865","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501816,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pangea.stanford.edu/ERE/db/IGAstandard/record_detail.php?id=38346"}],"country":"United States","state":"California","otherGeospatial":"Clear Lake region, Geysers geothermal system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.08882992251972,\n              39.16306777840023\n            ],\n            [\n              -123.08882992251972,\n              38.698271344676584\n            ],\n            [\n              -122.51130712624908,\n              38.698271344676584\n            ],\n            [\n              -122.51130712624908,\n              39.16306777840023\n            ],\n            [\n              -123.08882992251972,\n              39.16306777840023\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Melosh, Benjamin L. 0000-0002-8017-7193","orcid":"https://orcid.org/0000-0002-8017-7193","contributorId":217215,"corporation":false,"usgs":true,"family":"Melosh","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":958309,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273880,"text":"70273880 - 2026 - The petrogenesis of Þingmúli volcano, East Fjords, Iceland","interactions":[],"lastModifiedDate":"2026-04-06T15:51:12.426713","indexId":"70273880","displayToPublicDate":"2026-02-09T07:57:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"The petrogenesis of Þingmúli volcano, East Fjords, Iceland","docAbstract":"<p><span>In this work we revisit Þingmúli volcano (Þ = Th), a classic locality known as an example of a complete tholeiitic differentiation. Þingmúli is a ~ 9.5 Ma extinct central volcano located in the East Fjords of Iceland, in which the whole compositional spectrum from basalt to rhyolites have erupted. These volcanic products have been previously considered as petrogenetically related by an ideal fractionation trend, regardless any temporal relationship or volumetric considerations.</span></p><p><span>Here we report new whole-rock geochemistry, mineral chemistry, isotope analyses, estimation of residence times of the different eruptive deposits, and an update of the original petrogenetic model. Our results highlight that an enriched source, likely spinel lherzolites, generated transitional-alkaline basaltic melts after 15–20% of partial melting at depths of 40–45 km. Many of these basaltic melts erupted at various stages of the volcano's history, while others remained longer in the volcanic plumbing system. These evolved by fractional crystallisation into basaltic andesite magmas with a residence time of ~5 years based on the crystal size distribution of the plagioclase population. Isotopic differences between the basalts/basaltic andesites (<sup>87</sup>Sr/<sup>86</sup>Sr ~ 0.7034;&nbsp;<sup>143</sup>Nd/<sup>144</sup>Nd ~ 0.51315) and the erupted rhyolites (<sup>87</sup>Sr/<sup>86</sup>Sr ~ 0.7037;&nbsp;<sup>143</sup>Nd/<sup>144</sup>Nd ~ 0.51304) indicate that the latter are not petrogenetically related to the former. Therefore, instead of a fractional crystallisation mechanism to generate the rhyolites, we propose the partial melting of ignimbrite layers located beneath the volcano. The broad range of trace element concentrations in andesites and dacites and their different isotopic values compared to the basalts strongly suggest that these magmas have been generated by magma mixing between basaltic and rhyolitic melts, similar to modern day Icelandic volcanoes such as Hekla. These results highlight the need to revisit previously studied Icelandic classic localities and reassess their traditionally proposed petrogenetic models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2026.108561","usgsCitation":"Hughes, A., Cortès, J.A., McGarvie, D., Moscati, R.J., and Olive, V., 2026, The petrogenesis of Þingmúli volcano, East Fjords, Iceland: Journal of Volcanology and Geothermal Research, v. 472, 108561, 64 p., https://doi.org/10.1016/j.jvolgeores.2026.108561.","productDescription":"108561, 64 p.","ipdsId":"IP-182556","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499746,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502210,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13NQWAA","linkFileType":{"id":5,"text":"html"}}],"country":"Iceland","otherGeospatial":"Þingmúli volcano, East Fjords","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -23.540028058288044,\n              66.59258513859314\n            ],\n            [\n              -25.126290149179766,\n              65.22506991722106\n            ],\n            [\n              -22.087340842076145,\n              63.19806647357345\n            ],\n            [\n              -13.158892284515474,\n              63.28606024776602\n            ],\n            [\n              -13.158892284515474,\n              66.7304685435675\n            ],\n            [\n              -23.540028058288044,\n              66.59258513859314\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"472","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hughes, Amanda L. 0000-0003-2481-444X","orcid":"https://orcid.org/0000-0003-2481-444X","contributorId":346354,"corporation":false,"usgs":false,"family":"Hughes","given":"Amanda L.","affiliations":[{"id":82839,"text":"Edge Hill University, UK","active":true,"usgs":false}],"preferred":false,"id":955407,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortès, Joaquín A. 0000-0003-0062-6954","orcid":"https://orcid.org/0000-0003-0062-6954","contributorId":366198,"corporation":false,"usgs":false,"family":"Cortès","given":"Joaquín","middleInitial":"A.","affiliations":[{"id":87379,"text":"Edge Hill Univ","active":true,"usgs":false}],"preferred":false,"id":955408,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGarvie, Dave","contributorId":366200,"corporation":false,"usgs":false,"family":"McGarvie","given":"Dave","affiliations":[{"id":87380,"text":"Lancaster Univ","active":true,"usgs":false}],"preferred":false,"id":955409,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955410,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olive, Valerie 0000-0002-3905-2946","orcid":"https://orcid.org/0000-0002-3905-2946","contributorId":366201,"corporation":false,"usgs":false,"family":"Olive","given":"Valerie","affiliations":[{"id":87381,"text":"Univ of Glasgow","active":true,"usgs":false}],"preferred":false,"id":955411,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273822,"text":"70273822 - 2026 - Ten new insights in climate science 2025","interactions":[],"lastModifiedDate":"2026-02-04T15:13:28.226776","indexId":"70273822","displayToPublicDate":"2026-02-08T07:49:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21212,"text":"Global Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Ten new insights in climate science 2025","docAbstract":"Interdisciplinary understanding is vital for delivering sound climate policy advice. However, navigating the ever-growing and increasingly diverse scholarly literature on climate change is challenging for any individual researcher. This annual synthesis highlights and explains recent advances across a variety of fields of climate change research. This year, the 10 insights focus on: (1) the record-warmth of 2023/2024 and the elevated Earth energy imbalance; (2) acceleration of ocean warming and intensifying marine heatwaves; (3) northern land carbon sinks under strain; (4) reinforcing feedback between biodiversity loss and climate change; (5) accelerated depletion of groundwater; (6) global dengue incidence; (7) global income losses and labour productivity declines; (8) strategic scaling of CDR; (9) integrity challenges in carbon credit markets and emerging responses; and (10) effective policy mixes for emissions reductions. The insights have been written to be accessible to researchers from different fields, serving as entry-points to specific topics, as well as providing an overview of the evolving landscape of climate change research. In the final section, the insights are used to develop overarching policy-relevant messages. This paper provides the basis for a science-policy report that was shared with all Party delegations ahead of COP30 in Belém, Brazil.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/sus.2025.10043","usgsCitation":"Ospina, D., Mirazo, P., Allan, R.P., Basnett, S., Bastos, A., Bhattarai, N., Broadgate, W., Broekhoff, D.J., Bustamante, M., Chen, D., Choi, Y., Cox, P., Domeignoz-Horta, L.A., Ebi, K., Friedlingstein, P., Frölicher, T.L., Fuss, S., Goessling, H.F., Gruber, N., He, Q., Hebden, S.R., Hedrich, N., Heilemann, A., Hirota, M., Hodnebrog, Ø., Hugelius, G., Izquierdo-Tort, S., Juhola, S., Kasuga, F., Ke, P., Kelley, D.I., Kilkiș, Ş., Kotz, M., Kumarasinghe, N., Lamb, W.F., Lee, S., Liu, J., Maesano, C.N., Martin, M.A., Mazzochini, G.G., Merchant, C.J., Mori, A.S., Morris, J., Persson, Å., Pörtner, H., Probst, B.S., Ramage, J., Razanatsoa, E., Redman, A., Rockström, J., Rodrigues, R., Ruehr, S., Ryan, S.J., Schleussner, C., Schlosser, P., Scott, W.A., Semenza, J.C., Seybold, H., Shindell, D.T., Sioen, G.B., Smith, K.E., Sokona, Y., Stechemesser, A.H., Stocker, T.F., Su, S.H., Thiam, D., Trencher, G., Virkkala, A., Warszawski, L., Weiskopf, S.R., Wu, H., and Zhu, S., 2026, Ten new insights in climate science 2025: Global Sustainability, v. 9, e6, 37 p., https://doi.org/10.1017/sus.2025.10043.","productDescription":"e6, 37 p.","ipdsId":"IP-179484","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":499625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/sus.2025.10043","text":"Publisher Index Page"},{"id":499500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2026-01-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ospina, Daniel","contributorId":365884,"corporation":false,"usgs":false,"family":"Ospina","given":"Daniel","affiliations":[{"id":87244,"text":"Future Earth Secretariat","active":true,"usgs":false}],"preferred":false,"id":954957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirazo, Paula","contributorId":365885,"corporation":false,"usgs":false,"family":"Mirazo","given":"Paula","affiliations":[],"preferred":false,"id":954958,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allan, Richard P.","contributorId":365886,"corporation":false,"usgs":false,"family":"Allan","given":"Richard","middleInitial":"P.","affiliations":[{"id":87245,"text":"Department of Meteorology/National Centre for Earth Observation, University of Readingu","active":true,"usgs":false}],"preferred":false,"id":954959,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Basnett, Smriti","contributorId":365887,"corporation":false,"usgs":false,"family":"Basnett","given":"Smriti","affiliations":[{"id":87246,"text":"1. Future Earth -South Asia Hub\n2. Divecha Centre for Climate Change, Indian Institute of Science","active":true,"usgs":false}],"preferred":false,"id":954960,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bastos, Ana 0000-0002-7368-7806","orcid":"https://orcid.org/0000-0002-7368-7806","contributorId":245047,"corporation":false,"usgs":false,"family":"Bastos","given":"Ana","email":"","affiliations":[{"id":49063,"text":"Ludwig Maximilians University of Munich, Luisenstr. 37, Munich, 80333 Germany","active":true,"usgs":false}],"preferred":false,"id":954961,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bhattarai, Nishan","contributorId":365888,"corporation":false,"usgs":false,"family":"Bhattarai","given":"Nishan","affiliations":[{"id":87247,"text":"Department of Geography and Environmental Sustainability","active":true,"usgs":false}],"preferred":false,"id":954962,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Broadgate, Wendy","contributorId":365889,"corporation":false,"usgs":false,"family":"Broadgate","given":"Wendy","affiliations":[{"id":87244,"text":"Future Earth Secretariat","active":true,"usgs":false}],"preferred":false,"id":954963,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Broekhoff, Derik J.","contributorId":365890,"corporation":false,"usgs":false,"family":"Broekhoff","given":"Derik","middleInitial":"J.","affiliations":[{"id":56259,"text":"Stockholm Environment Institute","active":true,"usgs":false}],"preferred":false,"id":954964,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bustamante, Mercedes","contributorId":365891,"corporation":false,"usgs":false,"family":"Bustamante","given":"Mercedes","affiliations":[{"id":82916,"text":"University of Brasilia","active":true,"usgs":false}],"preferred":false,"id":954965,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chen, Deliang","contributorId":365892,"corporation":false,"usgs":false,"family":"Chen","given":"Deliang","affiliations":[{"id":40738,"text":"Tsinghua University","active":true,"usgs":false}],"preferred":false,"id":954966,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Choi, Yeonju","contributorId":365893,"corporation":false,"usgs":false,"family":"Choi","given":"Yeonju","affiliations":[{"id":87248,"text":"Yonsei University","active":true,"usgs":false}],"preferred":false,"id":954967,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cox, Peter","contributorId":365894,"corporation":false,"usgs":false,"family":"Cox","given":"Peter","affiliations":[{"id":17840,"text":"University of Exeter","active":true,"usgs":false}],"preferred":false,"id":954968,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Domeignoz-Horta, Luiz A.","contributorId":362113,"corporation":false,"usgs":false,"family":"Domeignoz-Horta","given":"Luiz","middleInitial":"A.","affiliations":[{"id":12490,"text":"French National Institute for Agricultural Research","active":true,"usgs":false}],"preferred":false,"id":954969,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ebi, Krislie","contributorId":365895,"corporation":false,"usgs":false,"family":"Ebi","given":"Krislie","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954970,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Friedlingstein, Pierre","contributorId":220198,"corporation":false,"usgs":false,"family":"Friedlingstein","given":"Pierre","email":"","affiliations":[{"id":40149,"text":"5Grantham Institute for Climate Change & Division of Ecology & Evolution, Imperial College, UK","active":true,"usgs":false}],"preferred":false,"id":954971,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Frölicher, Thomas L.","contributorId":365896,"corporation":false,"usgs":false,"family":"Frölicher","given":"Thomas","middleInitial":"L.","affiliations":[{"id":87249,"text":"1. Climate and Environmental Physics, Physics Institute, University of Bern; 2. Oeschger Centre for Climate Change Research, University of Bern","active":true,"usgs":false}],"preferred":false,"id":954972,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fuss, Sabine","contributorId":365897,"corporation":false,"usgs":false,"family":"Fuss","given":"Sabine","affiliations":[{"id":87250,"text":"1. Potsdam Institute for Climate Impact Research \n2. 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,{"id":70274021,"text":"70274021 - 2026 - Synthesizing beaver coexistence messaging with the capability, opportunity, and motivation behavior model","interactions":[],"lastModifiedDate":"2026-06-02T16:19:28.328001","indexId":"70274021","displayToPublicDate":"2026-02-07T10:57:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Synthesizing beaver coexistence messaging with the capability, opportunity, and motivation behavior model","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>In the western United States, conservation practitioners are increasingly working with private landowners to restore habitat for North American beavers (</span><i>Castor canadensis</i><span>) and to use nonlethal mitigation techniques when beavers damage crops and infrastructure. Effective communication is critical for promoting coexistence, yet on-the-ground conservation messaging seldom links to behavior change theories. We conducted 23 semistructured interviews with practitioners to examine the approaches they used to communicate with private landowners about beaver coexistence in Oregon (USA). Although we did not set out to interview practitioners about their messages targeting capability, opportunity, and motivation (elements of the COM-B model of behavior), we used the COM-B model to synthesize the primary dimensions of practitioners’ complex, real-world communication about human–wildlife coexistence. We found that practitioners used multiple communication channels to listen for and respond to landowners’ capability, opportunity, and motivation. They tailored messages to affirm and enhance knowledge and skills, identify and address site-specific and social contexts, and align beaver impacts with landowner goals. Our findings suggest the COM-B model can go beyond guiding audience analysis and behavioral intervention design to help practitioners tailor real-time communication with landowners about coexistence behavior. The model, based on our use of COM-B to analyze existing communication, could be used to provide practitioners with techniques for making sense of their existing communication efforts, for identifying gaps, and for dynamically tailoring their communication.</span></span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.70210","usgsCitation":"Erickson, B.D., and Jones, M.S., 2026, Synthesizing beaver coexistence messaging with the capability, opportunity, and motivation behavior model: Conservation Biology, v. 40, no. 3, e70210, 14 p., https://doi.org/10.1111/cobi.70210.","productDescription":"e70210, 14 p.","ipdsId":"IP-180694","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500437,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500596,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Brian D.","contributorId":339269,"corporation":false,"usgs":false,"family":"Erickson","given":"Brian","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70275540,"text":"70275540 - 2026 - Chronic wasting disease (CWD) knowledge, risk perception, and management acceptance are influenced by media engagement and trust among deer hunters in Massachusetts","interactions":[],"lastModifiedDate":"2026-05-04T16:31:30.912073","indexId":"70275540","displayToPublicDate":"2026-02-07T09:21:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease (CWD) knowledge, risk perception, and management acceptance are influenced by media engagement and trust among deer hunters in Massachusetts","docAbstract":"<p><span>Prior to wildlife disease emergence, public outreach campaigns can improve disease-related knowledge and increase the likelihood that stakeholders accept potential management actions. One wildlife disease of particular interest is chronic wasting disease (CWD), which is spreading across the United States but has not been detected in Massachusetts. We conducted a survey of deer hunters (</span><i>n</i><span> = 7,419) in Massachusetts to: (1) explore media channel usage and source trust, and (2) assess the relationship among CWD knowledge, risk perception, management acceptability, and state wildlife agency trust. We found that channel usage and source trust varied by socio-demographic factors. We also found that engagement with popular channels and trust in accurate sources were positively correlated with CWD knowledge. CWD risk perception mediated the relationship between knowledge and management acceptance, and trust was positively associated with management acceptance. Collectively, our results indicate a mixed-media campaign by state wildlife agencies could improve CWD management acceptance.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2025.2589886","usgsCitation":"McEachran, M., Hoven, B.M., Feehan, M., and DiRenzo, G.V., 2026, Chronic wasting disease (CWD) knowledge, risk perception, and management acceptance are influenced by media engagement and trust among deer hunters in Massachusetts: Human Dimensions of Wildlife, https://doi.org/10.1080/10871209.2025.2589886.","ipdsId":"IP-156850","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504180,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/10871209.2025.2589886","text":"Publisher Index Page"},{"id":503950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.2571070611136,\n              42.76780770024638\n            ],\n            [\n              -73.54406975005473,\n              42.05346733008463\n            ],\n            [\n              -71.41595395377722,\n              42.016471073632175\n            ],\n            [\n              -71.09006086742083,\n              41.508469701988034\n            ],\n            [\n              -70.79943751691263,\n              41.263710237026146\n            ],\n            [\n              -69.96748465016458,\n              41.129859096876636\n            ],\n            [\n              -69.71431782412303,\n              41.55217473089283\n            ],\n            [\n              -70.48530007759994,\n              42.87610528654483\n            ],\n            [\n              -71.03065266749265,\n              42.870080386740064\n            ],\n            [\n              -71.21310496793963,\n              42.800893123216866\n            ],\n            [\n              -71.19873720838875,\n              42.683582499756895\n            ],\n            [\n              -73.2571070611136,\n              42.76780770024638\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"McEachran, Margaret C. 0000-0002-8390-451X","orcid":"https://orcid.org/0000-0002-8390-451X","contributorId":346535,"corporation":false,"usgs":true,"family":"McEachran","given":"Margaret C.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":960836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoven, Brian M.","contributorId":346541,"corporation":false,"usgs":false,"family":"Hoven","given":"Brian","middleInitial":"M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":960971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feehan, Martin J. R","contributorId":351842,"corporation":false,"usgs":false,"family":"Feehan","given":"Martin J. R","affiliations":[{"id":47540,"text":"Massachusetts Division of Fisheries & Wildlife","active":true,"usgs":false}],"preferred":false,"id":960838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":960839,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273904,"text":"70273904 - 2026 - Per- and polyfluoroalkyl substances in waters associated with oil and gas development in the Denver Basin","interactions":[],"lastModifiedDate":"2026-02-13T15:44:06.039327","indexId":"70273904","displayToPublicDate":"2026-02-07T08:37:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Per- and polyfluoroalkyl substances in waters associated with oil and gas development in the Denver Basin","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Use of per- and polyfluoroalkyl substances (PFAS) in the petroleum industry could be a cause for concern due to the large volumes of produced water (PW) generated during oil and gas extraction, the reuse of these wastes in water-stressed regions, and adverse health outcomes related to PFAS exposures. However, PW PFAS characterization is nearly absent in the literature, and hydraulic fracturing (HF) chemical disclosures often omit the identities of additives as proprietary. Here we evaluate PFAS in PW samples from three petroleum wells in the Denver Basin during their first year of production. Total concentrations of targeted PFAS (Σ</span><sub>40</sub><span>PFAS) were &lt; 35 ng/L in PW samples, with short-chain PFAS like perfluorobutanoic acid persisting throughout the sampled duration. Analysis of freshwater inputs for hydraulic fracturing (Σ</span><sub>40</sub><span>PFAS ~ 113 ng/L) and mixed fracture fluid (Σ</span><sub>40</sub><span>PFAS ~ 69 ng/L) indicated much of the targeted PFAS content was derived from the input water, and not from HF additives, however samples subjected to oxidation indicated the presence of PFAS precursors that would not be detected by targeted analysis. This study highlights that while PFAS content is low in the studied PWs, the potential for redistribution of PFAS in the environment may be a consideration for reuse applications.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-33394-9","usgsCitation":"Varonka, M., Jubb, A., McDevitt, B., Shelton, J.L., Barnhart, E.P., Akob, D., and Cozzarelli, I.M., 2026, Per- and polyfluoroalkyl substances in waters associated with oil and gas development in the Denver Basin: Scientific Reports, v. 16, 5743, 8 p., https://doi.org/10.1038/s41598-025-33394-9.","productDescription":"5743, 8 p.","ipdsId":"IP-173284","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":500246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-33394-9","text":"Publisher Index Page"},{"id":500087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Nebraska, Wyoming","otherGeospatial":"Denver Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.7394986500792,\n              41.98806529832831\n            ],\n            [\n              -105.7394986500792,\n              39.252214457834185\n            ],\n            [\n              -103.39682614563382,\n              39.252214457834185\n            ],\n            [\n              -103.39682614563382,\n              41.98806529832831\n            ],\n            [\n              -105.7394986500792,\n              41.98806529832831\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Varonka, Matthew S. 0000-0003-3620-5262","orcid":"https://orcid.org/0000-0003-3620-5262","contributorId":203231,"corporation":false,"usgs":true,"family":"Varonka","given":"Matthew S.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":955716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelton, Jenna L. 0000-0002-1377-0675","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":366369,"corporation":false,"usgs":false,"family":"Shelton","given":"Jenna","middleInitial":"L.","affiliations":[{"id":87467,"text":"Illinois State Water Survey, Prairie Research Institute, Champaign, IL, USA 61821","active":true,"usgs":false}],"preferred":false,"id":955717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":955719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":955720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273684,"text":"mcs2026 - 2026 - Mineral commodity summaries 2026","interactions":[],"lastModifiedDate":"2026-05-27T13:45:57.860435","indexId":"mcs2026","displayToPublicDate":"2026-02-06T11:55:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":323,"text":"Mineral Commodity Summaries","code":"MCS","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026","displayTitle":"Mineral Commodity Summaries 2026","title":"Mineral commodity summaries 2026","docAbstract":"<h1>Introduction&nbsp;</h1><p>Each mineral commodity chapter of the 2026 edition of the U.S. Geological Survey (USGS) Mineral Commodity Summaries (MCS) includes information on events, trends, and issues for each mineral commodity as well as discussions and tabular presentations on domestic industry structure, Government programs, tariffs, 5-year salient statistics, and world production, reserves, and resources. The MCS is the earliest comprehensive source of 2025 mineral production data for the world. More than 90 individual minerals and materials are covered by two-page synopses.</p><p>Abbreviations and units of measure and definitions of selected terms used in the report are in Appendix A and Appendix B, respectively. Reserves and resources information is in Appendix C, which includes “Part A—Resource and Reserve Classification for Minerals” and “Part B—Sources of Reserves Data.” A directory of USGS minerals information country specialists and their responsibilities is in Appendix D.</p><p>The USGS continually strives to improve the value of its publications to users. Constructive comments and suggestions by readers of the 2026 MCS are welcomed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/mcs2026","isbn":"978-1-4113-4643-7","usgsCitation":"U.S. Geological Survey, 2026, Mineral commodity summaries 2026 (ver. 1.3, May 2026): U.S. Geological Survey, 222 p., https://doi.org/10.3133/mcs2026.","productDescription":"Report: 222 p.; Data Release; Data Visualization","numberOfPages":"222","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-185894","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":499639,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://apps.usgs.gov/critical-minerals/mineral-commodities-2026.html","text":"Data visualization"},{"id":498869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/periodicals/mcs2026/coverthb2.jpg"},{"id":499534,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/periodicals/mcs2026/mcs2026.pdf","text":"Report","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"MCS 2026 PDF"},{"id":499535,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/mineral-commodity-summaries","text":"Mineral Commodity Summaries Prior to 2026"},{"id":500785,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/periodicals/mcs2026/versionHist.txt","size":"1.86 KB","linkFileType":{"id":2,"text":"txt"}},{"id":499654,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119204.htm","linkFileType":{"id":5,"text":"html"}},{"id":499537,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WKQ63T","text":"USGS data release","linkHelpText":"Data release for mineral commodity summaries 2026"},{"id":499536,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://www.usgs.gov/centers/national-minerals-information-center/commodity-statistics-and-information","text":"Commodity Statistics and Information"}],"edition":"Version 1.0: February 2026; Version 1.1: March 2026; Version 1.2: April 2026; Version 1.3: May 2026","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/national-minerals-information-center/connect\" data-mce-href=\"https://www.usgs.gov/centers/national-minerals-information-center/connect\">National Minerals Information Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>988 National Center<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:nmicrecordsmgt@usgs.gov\" data-mce-href=\"mailto:nmicrecordsmgt@usgs.gov\">nmicrecordsmgt@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Figure 1—The Role of Nonfuel Mineral Commodities in the U.S. Economy</li><li>Significant Events, Trends, and Issues</li><li>Table 1—U.S. Mineral Industry Trends</li><li>Table 2—U.S. Mineral-Related Economic Trends</li><li>Figure 2—2025 U.S. Net Import Reliance</li><li>Figure 3—Import Sources (2021–24) of Critical Minerals</li><li>Table 3—Value of Nonfuel Mineral Production in the United States in 2025</li><li>Table 4—Export Control on Mineral Commodities, by Country</li><li>Table 5—Recent Mineral-Related Trade Agreements, by Country</li><li>Figures 4–8—Value of Nonfuel Minerals Produced in 2025</li><li>Table 6—The U.S. Final 2025 Critical Minerals List</li><li>U.S. Critical Minerals Update</li><li>Table 7—Salient Critical Minerals Statistics in 2025</li><li>Figure 9—20-Year Trend of U.S. Net Import Reliance for Critical Minerals</li><li>Figure 10—Estimated 1-Year Percent Change and 5-Year Compound Annual Growth Rate in Prices of&nbsp;Critical Minerals</li><li>Figures 11–12—Change in U.S. Consumption of Nonfuel Mineral Commodities</li><li>Figure 13—2025 Value of Old Scrap Domestically Recycled, Imported, and Exported</li><li>Appendix A—Abbreviations and Units of Measure</li><li>Appendix B—Definitions of Selected Terms Used in This Report</li><li>Appendix C—Reserves and Resources</li><li>Appendix D—Country Specialists Directory</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2026-02-06","revisedDate":"2026-05-27","noUsgsAuthors":false,"publicationDate":"2026-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":127955,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":955034,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70274541,"text":"70274541 - 2026 - Shifting winter atmospheric teleconnections to the North Pacific reconcile Younger-Dryas and Holocene δ18O signals","interactions":[],"lastModifiedDate":"2026-03-31T15:00:24.211725","indexId":"70274541","displayToPublicDate":"2026-02-06T09:53:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shifting winter atmospheric teleconnections to the North Pacific reconcile Younger-Dryas and Holocene δ<sup>18</sup>O signals","title":"Shifting winter atmospheric teleconnections to the North Pacific reconcile Younger-Dryas and Holocene δ18O signals","docAbstract":"<p><span>Using Alaskan lake sediment oxygen isotope records (δ</span><sup>18</sup><span>O), which trace the δ</span><sup>18</sup><span>O of precipitation, we establish that abrupt atmospheric shifts occurred during the last deglacial period in the North Pacific-Arctic. The robust lake δ</span><sup>18</sup><span>O chronologies confidently correlate Younger-Dryas (YD) atmospheric adjustments in Alaska with Greenland ice-core records and their seasonal sensitivity are consistent with cooling during winter. In contrast, abrupt δ</span><sup>18</sup><span>O decreases during the late Holocene observed in our records, of similar magnitude as the YD, are best explained by atmospheric modes involving long-distance transport of sub-tropical Pacific moisture. Our sediment cores are among the most reliably dated records yet produced in the circum-Arctic and show that similar decreases in δ</span><sup>18</sup><span>O of winter precipitation during the YD and late Holocene were driven by different atmospheric teleconnections. These results underscore major roles for seasonality and atmospheric patterns in the conceptual understanding of global scale climate oscillations, both past and future.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-026-68841-2","usgsCitation":"Anderson, L., Finney, B.P., and Baxter, W.B., 2026, Shifting winter atmospheric teleconnections to the North Pacific reconcile Younger-Dryas and Holocene δ18O signals: Nature Communications, v. 17, 2287, 11 p., https://doi.org/10.1038/s41467-026-68841-2.","productDescription":"2287, 11 p.","ipdsId":"IP-173518","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":502072,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-68841-2","text":"Publisher Index Page"},{"id":501859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Greenland, United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -154.5838715688011,\n              61.71714669073339\n            ],\n            [\n              -154.5838715688011,\n              58.64385747164533\n            ],\n            [\n              -140.97306433569628,\n              58.64385747164533\n            ],\n            [\n              -140.97306433569628,\n              61.71714669073339\n            ],\n            [\n              -154.5838715688011,\n              61.71714669073339\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -54.47050647646307,\n              76.12487765561002\n            ],\n            [\n              -54.47050647646307,\n              68.64845510387647\n            ],\n            [\n              -23.062966953169052,\n              68.64845510387647\n            ],\n            [\n              -23.062966953169052,\n              76.12487765561002\n            ],\n            [\n              -54.47050647646307,\n              76.12487765561002\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2026-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Lesleigh 0000-0002-5264-089X","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":368960,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":958185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finney, Bruce P.","contributorId":368961,"corporation":false,"usgs":false,"family":"Finney","given":"Bruce","middleInitial":"P.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":958186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, W. Brad","contributorId":368962,"corporation":false,"usgs":false,"family":"Baxter","given":"W.","middleInitial":"Brad","affiliations":[{"id":87683,"text":"U.S. Army Corps of Engineers, Cold Regions Research and Engineering Lab","active":true,"usgs":false}],"preferred":false,"id":958187,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273856,"text":"70273856 - 2026 - Out with the old: Empirical trends in U.S. land-based wind turbine decommissioning and repowering","interactions":[],"lastModifiedDate":"2026-02-09T15:15:20.251915","indexId":"70273856","displayToPublicDate":"2026-02-06T09:07:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23294,"text":"Wind Energy","active":true,"publicationSubtype":{"id":10}},"title":"Out with the old: Empirical trends in U.S. land-based wind turbine decommissioning and repowering","docAbstract":"<p><span>A growing number of wind turbines (WTs) across the globe are now reaching or exceeding their expected service lifetime; WT decommissioning is on the rise. Accordingly, questions pertaining to WT end-of-life have risen in importance in policy and practice. Yet, research on the various factors relating to WT decommissioning is relatively sparse. Moreover, the key assumptions underpinning that prior research (e.g., the lifespan of WTs, characteristics of WTs being decommissioned, and whether the site is repowered with new WTs) have never been empirically tested across a large set of decommissioned WTs. Leveraging a uniquely comprehensive and spatially explicit dataset of decommissioned WTs in the United States, this research analyzes spatial, technological, and temporal trends in WT decommissioning and develops a novel predictive model for WT decommissioning. Our analysis pinpoints more than 12,400 WTs that have been fully decommissioned in the United States., the majority of which have been relatively old (&gt; 30 years) and small (&lt; 200 kW). While a WT's age alone is a good predictor of the likelihood of decommissioning, other factors such as the size of the WT and recent performance are also important and significant predictors. Most sites where decommissioning has occurred have seen subsequent repowering, with repowered plants featuring substantially fewer WTs (−86 on average) and higher rated plant capacity (+62 MW on average). Many existing WTs in the U.S. are approaching the end of their expected life with roughly 7500 being 20 or more years old. Findings can help policymakers and stakeholders begin preparing for this potential wave of future decommissioning and repowering.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/we.70099","usgsCitation":"Rand, J., Kramer, L., Hoen, B., Diffendorfer, J., and Garrity, C., 2026, Out with the old: Empirical trends in U.S. land-based wind turbine decommissioning and repowering: Wind Energy, v. 29, no. 3, e70099, 13 p., https://doi.org/10.1002/we.70099.","productDescription":"e70099, 13 p.","ipdsId":"IP-182443","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/we.70099","text":"Publisher Index Page"},{"id":499676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Rand, Joseph","contributorId":290223,"corporation":false,"usgs":false,"family":"Rand","given":"Joseph","affiliations":[{"id":41633,"text":"DOE Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":955277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kramer, Louisa 0000-0002-6776-9768","orcid":"https://orcid.org/0000-0002-6776-9768","contributorId":204878,"corporation":false,"usgs":true,"family":"Kramer","given":"Louisa","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoen, Ben 0000-0002-9512-5572","orcid":"https://orcid.org/0000-0002-9512-5572","contributorId":204879,"corporation":false,"usgs":false,"family":"Hoen","given":"Ben","email":"","affiliations":[{"id":37001,"text":"DOE Lawrence Berkeley National Labs","active":true,"usgs":false}],"preferred":false,"id":955279,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":223504,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":955280,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrity, Christopher 0000-0002-5565-1818 cgarrity@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-1818","contributorId":220994,"corporation":false,"usgs":true,"family":"Garrity","given":"Christopher","email":"cgarrity@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955281,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273858,"text":"70273858 - 2026 - Evaluating machine learning approaches to identify and predict oil and gas produced water lithium concentrations","interactions":[],"lastModifiedDate":"2026-02-09T15:28:29.171335","indexId":"70273858","displayToPublicDate":"2026-02-06T08:20:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23297,"text":"Data Science in Science","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating machine learning approaches to identify and predict oil and gas produced water lithium concentrations","docAbstract":"<p><span>Recently, the demand for battery-grade lithium has substantially increased, largely due to electrification of the transportation sector. The search for new lithium sources has turned to produced waters (frequently brines), a large-volume wastewater by-product of oil and gas extraction. Geochemical analysis indicates the presence of varying concentrations of lithium from produced water samples collected across the United States and represented in the U.S. Geological Survey’s National Produced Water Geochemical Database, as well as mixtures of Marcellus Shale produced water included in the Pennsylvania Department of Environmental Protection’s Oil and Gas Well Waste Reports. We first examined whether the geochemical signature of the lithium-bearing produced waters is sufficiently distinct so that machine learning (ML) can be used to correctly classify samples to the formation of origin. The produced water sample data used to assess classification accuracy were from the Marcellus Shale, Utica Shale and Point Pleasant Formation (Utica), and Smackover Formation oil and gas wells. Further, we evaluated the potential for ML to accurately classify Marcellus Shale produced water spatially (i.e., northeast versus southwest Pennsylvania). We then investigated whether ML algorithms applied to a suite of geochemical concentration data (i.e. Ba, Br, Cl, K, Mg, Sr) may be used to predict the lithium concentration of an unknown sample. Finally, we applied an estimated economic lithium grade cutoff of 150 milligrams per liter (mg/l) and assessed the utility of ML to predict whether a produced water sample would fall above or below the grade cutoff based on the suite of geochemical parameters. Four machine learning algorithms—Random Forest (RF), Gradient Boosting Trees (GBT), Extreme Boosting (XGBoost), and Deep Neural Networks (DNN) were assessed. This study successfully demonstrates that all four machine learning methods can precisely and accurately estimate lithium concentrations and geologic formation classification. The products of this study contribute to the growing body of knowledge aimed at expanding the lithium resource base within the United States.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/26941899.2026.2624195","usgsCitation":"Attanasi, E., McDevitt, B., Freeman, P., and Coburn, T., 2026, Evaluating machine learning approaches to identify and predict oil and gas produced water lithium concentrations: Data Science in Science, v. 5, no. 1, 2624195, 18 p., https://doi.org/10.1080/26941899.2026.2624195.","productDescription":"2624195, 18 p.","ipdsId":"IP-180475","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":499937,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/26941899.2026.2624195","text":"Publisher Index Page"},{"id":499678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Oklahoma, South Carolina, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -100.73317123367434,\n              35.41758190253161\n            ],\n            [\n              -100.73317123367434,\n              28.707661068137995\n            ],\n            [\n              -83.28804352213777,\n              28.707661068137995\n            ],\n            [\n              -83.28804352213777,\n              35.41758190253161\n            ],\n            [\n              -100.73317123367434,\n              35.41758190253161\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":1809,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":955297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":955298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":347358,"corporation":false,"usgs":false,"family":"Freeman","given":"Philip A.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":955299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coburn, Timothy 0000-0002-7309-0962","orcid":"https://orcid.org/0000-0002-7309-0962","contributorId":366116,"corporation":false,"usgs":false,"family":"Coburn","given":"Timothy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":955300,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273893,"text":"70273893 - 2026 - Abiotic and biotic controls of non-native perennial plant success in drylands","interactions":[],"lastModifiedDate":"2026-03-23T14:56:45.294197","indexId":"70273893","displayToPublicDate":"2026-02-06T08:03:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6505,"text":"Nature Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Abiotic and biotic controls of non-native perennial plant success in drylands","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Drivers of non-native plant success in drylands are poorly understood. Here we identify functional differences between dryland native and non-native perennial plants and assess how biotic, abiotic and anthropogenic factors shape the success of the latter. On the basis of plant community and functional trait data from 98 sites across 25 countries, we report a total of 41 non-native plant species at 31 sites. Non-natives tend towards faster growth strategies than natives. Non-native plant richness is higher at sites with greater grazing pressure and under environmental conditions associated with higher soil fertility, decomposition and fungal richness—conditions that tend to occur in less arid regions—and lower where native plant and herbivore richness are greater. Non-native plant cover correlates positively with grazing pressure and negatively with native plant richness. Taken together, our results suggest that non-native plant success in drylands is facilitated when high grazing pressure coincides with elevated resource availability. Such context-dependence of non-native plant success and linkages with native plant and herbivore diversity highlight the need for managing grazing and conserving biodiversity across the world’s drylands.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41559-025-02971-6","usgsCitation":"Rahmanian, S., Eisenhauer, N., Huang, Y., Hejda, M., Pyšek, P., Feilhauer, H., Eldridge, D.J., Gross, N., Le Bagousse-Pinguet, Y., Saiz, H., Delgado-Baquerizo, M., Berdugo, M., Ochoa, V., Gozalo, B., Asensio, S., Guirado, E., Valencia, E., García-Gómez, M., Gaitán, J.J., Mendoza, B.J., Plaza, C., Díaz-Martínez, P., Martínez-Valderrama, J., Abedi, M., Ahmadian, N., Ahumada, R.J., Amghar, F., Araújo, T., Arroyo, A.I., Ben Salem, F., Blaum, N., Boldbat, E., Boldgiv, B., Bowker, M., van den Brink, L., Bu, C., Canessa, R., Castillo-Monroy, A.P., Castro, H., Castro-Quezada, P., Chaieb, G., Chibani, R., Conceição, A.A., Davila, Y.C., Deák, B., Donoso, D.A., Dougill, A., Espinosa, C.I., Fajardo, A., Farzam, M., Ferrante, D., Franzese, J., Fraser, L.H., Geiger, E.L., Gonzalez, S.L., Montalván, E.G., Hering, R., Marais, E., Hernández, R.M., Hernández-Valdez, S., Hölzel, N., Huber-Sannwald, E., Jadán, O., Jentsch, A., Kindermann, L., Köbel, M., le Roux, P.C., Leder, C.V., Li, X., Liancourt, P., Linstädter, A., Liu, J., Louw, M.A., Maggs-Kölling, G., Makhalanyane, T.P., Issa, O.M., Manzaneda, A.J., Margerie, P., Martin, R., McClaran, M.P., Messeder, J.V., Mora, J.P., Moreno, G., Munson, S.M., Nair, G.R., Nunes, A., Oliva, G., Palpurina, S., Peter, G., Pueyo, Y., Quiroga, E., Reed, S.C., Rey, P.J., Rodríguez, A., Rolo, V., Ruppert, J.C., Salah, A., Sarig, S., Singh, B.K., Swemmer, A.M., Teixido, A.L., Thomas, A.D., Tielbörger, K., Travers, S.K., Valkó, O., Wamiti, W., Wang, D., Wang, L., Wardle, G.M., Wolff, P., Yahdjian, L., Oñatibia, G.R., Yari, R., Zaady, E., Zhang, Y., Zhou, X., and Maestre, F.T., 2026, Abiotic and biotic controls of non-native perennial plant success in drylands: Nature Ecology and Evolution, v. 10, p. 523-535, https://doi.org/10.1038/s41559-025-02971-6.","productDescription":"13 p.","startPage":"523","endPage":"535","ipdsId":"IP-183980","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499811,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2026-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Rahmanian, Soroor","contributorId":366231,"corporation":false,"usgs":false,"family":"Rahmanian","given":"Soroor","affiliations":[{"id":87393,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; Puschstraße 4, 04103 Leipzig, Germany; Institute of Biology, Leipzig University; Puschstraße 4, 04103 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":955510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisenhauer, Nico","contributorId":141161,"corporation":false,"usgs":false,"family":"Eisenhauer","given":"Nico","email":"","affiliations":[{"id":13699,"text":"German Centre for Integrative Biodiversity Research, Germany","active":true,"usgs":false}],"preferred":false,"id":955511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Yuanyuan","contributorId":366232,"corporation":false,"usgs":false,"family":"Huang","given":"Yuanyuan","affiliations":[{"id":87393,"text":"German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig; Puschstraße 4, 04103 Leipzig, Germany; Institute of Biology, Leipzig University; Puschstraße 4, 04103 Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":955512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hejda, Martin","contributorId":366233,"corporation":false,"usgs":false,"family":"Hejda","given":"Martin","affiliations":[{"id":87394,"text":"Department of Invasion Ecology, Czech Academy of Sciences, Institute of Botany; Průhonice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":955513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pyšek, Petr","contributorId":251754,"corporation":false,"usgs":false,"family":"Pyšek","given":"Petr","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":955514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feilhauer, Hannes","contributorId":334012,"corporation":false,"usgs":false,"family":"Feilhauer","given":"Hannes","email":"","affiliations":[],"preferred":false,"id":955515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eldridge, David J.","contributorId":366234,"corporation":false,"usgs":false,"family":"Eldridge","given":"David","middleInitial":"J.","affiliations":[{"id":87395,"text":"School of Biological, Earth and Environmental Sciences, University of NSW; Sydney, NSW 2052 Australia","active":true,"usgs":false}],"preferred":false,"id":955516,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gross, Nicholas","contributorId":343841,"corporation":false,"usgs":false,"family":"Gross","given":"Nicholas","email":"","affiliations":[{"id":82204,"text":"Université Clermont Auvergne, INRAE, VetAgro Sup, Unité Mixte de Recherche Ecosystème  Prairial; Clermont-Ferrand, France","active":true,"usgs":false}],"preferred":false,"id":955517,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le Bagousse-Pinguet, Yoann","contributorId":300372,"corporation":false,"usgs":false,"family":"Le Bagousse-Pinguet","given":"Yoann","email":"","affiliations":[{"id":65094,"text":"Aix Marseille Univ, CNRS, Avignon Université, IRD, IMBE, Aix-en-Provence, France.","active":true,"usgs":false}],"preferred":false,"id":955518,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saiz, Hugo","contributorId":300373,"corporation":false,"usgs":false,"family":"Saiz","given":"Hugo","email":"","affiliations":[{"id":65095,"text":"Dept. de Ciencias Agrarias y Medio Natural, Escuela Politécnica Superior, Instituto Universitario de Investigación en Ciencias Ambientales de Aragón, Universidad de Zaragoza, Huesca, Spain","active":true,"usgs":false}],"preferred":false,"id":955519,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Delgado-Baquerizo, Manuel","contributorId":214645,"corporation":false,"usgs":false,"family":"Delgado-Baquerizo","given":"Manuel","email":"","affiliations":[{"id":39101,"text":"Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80309, USA","active":true,"usgs":false}],"preferred":false,"id":955520,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Berdugo, Miguel","contributorId":300374,"corporation":false,"usgs":false,"family":"Berdugo","given":"Miguel","affiliations":[{"id":65097,"text":"Institut de Biología Evolutiva (UPF-CSIC), Barcelona, Spain; Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland.","active":true,"usgs":false}],"preferred":false,"id":955521,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ochoa, Victoria","contributorId":300376,"corporation":false,"usgs":false,"family":"Ochoa","given":"Victoria","affiliations":[{"id":65099,"text":"Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante, Spain. Instituto de Ciencias Agrarias, Consejo Superior de Investigaciones Científicas, Madrid, Spain.","active":true,"usgs":false}],"preferred":false,"id":955522,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gozalo, Beatriz","contributorId":300375,"corporation":false,"usgs":false,"family":"Gozalo","given":"Beatriz","affiliations":[{"id":65098,"text":"Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante, Spain.","active":true,"usgs":false}],"preferred":false,"id":955523,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Asensio, Sergio","contributorId":300381,"corporation":false,"usgs":false,"family":"Asensio","given":"Sergio","email":"","affiliations":[{"id":65098,"text":"Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante, Spain.","active":true,"usgs":false}],"preferred":false,"id":955524,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Guirado, Emilio","contributorId":300377,"corporation":false,"usgs":false,"family":"Guirado","given":"Emilio","email":"","affiliations":[{"id":65098,"text":"Instituto Multidisciplinar para el Estudio del Medio “Ramón Margalef,” Universidad de Alicante, Alicante, Spain.","active":true,"usgs":false}],"preferred":false,"id":955525,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Valencia, Enrique","contributorId":300379,"corporation":false,"usgs":false,"family":"Valencia","given":"Enrique","affiliations":[{"id":65101,"text":"Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Spain; Departamento de Biodiversidad, Ecología y Evolución, Facultad de Ciencias Biológicas, Universidad Complutense de Madrid, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":955526,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"García-Gómez, Miguel","contributorId":300378,"corporation":false,"usgs":false,"family":"García-Gómez","given":"Miguel","affiliations":[{"id":65100,"text":"Departamento de Ingeniería y Morfología del Terreno, Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Universidad Politécnica de Madrid, Madrid, Spain.","active":true,"usgs":false}],"preferred":false,"id":955527,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Gaitán, Juan J.","contributorId":366252,"corporation":false,"usgs":false,"family":"Gaitán","given":"Juan","middleInitial":"J.","affiliations":[{"id":87401,"text":"Universidad Nacional de Luján-CONICET; Luján 6700, Buenos Aires, Argentina","active":true,"usgs":false}],"preferred":false,"id":955528,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mendoza, Betty J.","contributorId":300382,"corporation":false,"usgs":false,"family":"Mendoza","given":"Betty","email":"","middleInitial":"J.","affiliations":[{"id":65103,"text":"Departamento de Biología y Geología, Física y Química Inorgánica, Universidad Rey Juan Carlos, Móstoles, Spain","active":true,"usgs":false}],"preferred":false,"id":955529,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Plaza, César","contributorId":366253,"corporation":false,"usgs":false,"family":"Plaza","given":"César","affiliations":[{"id":87402,"text":"Instituto de Ciencias Agrarias (ICA), CSIC; 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,{"id":70274235,"text":"70274235 - 2026 - Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp","interactions":[],"lastModifiedDate":"2026-03-18T12:32:27.223966","indexId":"70274235","displayToPublicDate":"2026-02-05T14:12:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp","docAbstract":"<p><span>Bighead carp (</span><i>Hypophthalmichthys nobilis</i><span>), black carp (</span><i>Mylopharyngodon piceus</i><span>), grass carp (</span><i>Ctenopharyngodon idella</i><span>), and silver carp (</span><i>H. molitrix</i><span>) have spurred wide concern of potential ecosystem disruption as they threaten to invade the Laurentian Great Lakes. Besides competition for resources, carp may also have disadvantageous nutrition for predators. One biochemical aspect to consider in carp is production of the enzyme thiaminase that cleaves thiamine (vitamin B</span><sub>1</sub><span>), making it unavailable to most vertebrates. The function of thiaminase within prey fishes is unclear, but roughly half of all fishes tested have measurable thiaminase activity. Predators consuming large volumes of prey with high thiaminase activity can develop thiamine deficiency, ultimately leading to offspring mortality. Three invasive carp (black carp, grass carp, and bighead carp) have no published thiaminase data. We tested juvenile (&lt;160&nbsp;mm standard length) black carp (n&nbsp;=&nbsp;38), bighead carp (n&nbsp;=&nbsp;7), grass carp (n&nbsp;=&nbsp;50), and silver carp (n&nbsp;=&nbsp;50) for thiaminase activity. All four species had measurable activity; however, grass carp had statistically higher thiaminase activity (p&nbsp;&lt;&nbsp;0.001; median&nbsp;=&nbsp;61&nbsp;nmol/g/min) than the other three species. Silver carp had the second highest thiaminase activity (14&nbsp;nmol/g/min). Bighead (2.7&nbsp;nmol/g/min) and black (2.2&nbsp;nmol/g/min) carp had the lowest thiaminase activity; activities were often near detection limits. Predators with diets heavily composed of grass carp or silver carp may experience thiamine deficiency, though seasonal variation in carp size and other food source availability may determine potential effects of invasive carp predation in Great Lakes food webs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102751","usgsCitation":"Rowland, F.E., Byrd, C.G., and Kroboth, P., 2026, Thiaminase I activity is high in grass and silver carp, but negligible in bighead and black carp: Journal of Great Lakes Research, v. 52, no. 1, 102751, 8 p., https://doi.org/10.1016/j.jglr.2026.102751.","productDescription":"102751, 8 p.","ipdsId":"IP-183322","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":501233,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70274235/images"},{"id":501232,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70274235/70274235.XML"},{"id":501231,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70274235/full"},{"id":501229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Curtis G. 0000-0002-5124-5652","orcid":"https://orcid.org/0000-0002-5124-5652","contributorId":210798,"corporation":false,"usgs":true,"family":"Byrd","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":957118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":957119,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70276519,"text":"70276519 - 2026 - Occupancy rates of river otters (Lontra canadensis) in the St. Louis River Area of Concern","interactions":[],"lastModifiedDate":"2026-06-10T15:19:10.257613","indexId":"70276519","displayToPublicDate":"2026-02-05T12:26:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24810,"text":"IUCN/SSC Otter Specialist Group Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Occupancy rates of river otters (<i>Lontra canadensis</i>) in the St. Louis River Area of Concern","title":"Occupancy rates of river otters (Lontra canadensis) in the St. Louis River Area of Concern","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The St. Louis River Area of Concern (AOC), an estuarine system along the northeastern Minnesota-Wisconsin border, experienced significant ecological disturbances and degradation from unregulated industrial development during the 19</span><sup>th</sup><span>&nbsp;and 20</span><sup>th</sup><span>&nbsp;centuries. Recent restoration and remediation efforts in the AOC have led to substantial improvements in water quality, habitat, and fisheries populations. However, the status of wildlife populations following restoration efforts in the AOC remain largely unknown. We used remote cameras to estimate occupancy rates of river otters&nbsp;</span><i>Lontra canadensis<span>&nbsp;</span></i><span>in the AOC and at two reference areas that had not been subjected to historical degradation. Because river otters occupy a high trophic level within these systems, we hypothesized that they would be an effective indicator species of overall habitat quality and recovery. Using data collected from June 2015 to February 2016, we developed single-season occupancy models for both summer and winter seasons. We found no differences in occupancy between the AOC and the reference sites, suggesting that river otter populations within the AOC were comparable to those in unaffected areas.&nbsp; Our results indicate that habitat restoration and remediation efforts in the St. Louis River estuary have been successful in promoting healthy wildlife populations.</span></span></p>","language":"English","publisher":"IUCN/SSC Otter Specialist Group","usgsCitation":"Evans, B.E., Tucker, M.C., Van Deelen, T.R., and Crimmins, S.M., 2026, Occupancy rates of river otters (Lontra canadensis) in the St. Louis River Area of Concern: IUCN/SSC Otter Specialist Group Bulletin, v. 43, no. 1, p. 24-34.","productDescription":"11 p.","startPage":"24","endPage":"34","ipdsId":"IP-152860","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":505271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":505201,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iucnosgbull.org/Volume43/Vol43_Iss1_Index.html"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Boulder Lake, St. Croix River, St. Louis River Area of Concern","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.94600196159826,\n              46.77005207817896\n            ],\n            [\n              -92.37221823661014,\n              46.77005207817896\n            ],\n            [\n              -92.37221823661014,\n              46.026349615068455\n            ],\n            [\n              -91.94600196159826,\n              46.026349615068455\n            ],\n            [\n              -91.94600196159826,\n              46.77005207817896\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Bryn E.","contributorId":371903,"corporation":false,"usgs":false,"family":"Evans","given":"Bryn","middleInitial":"E.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":962565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Madeleine C.","contributorId":371904,"corporation":false,"usgs":false,"family":"Tucker","given":"Madeleine","middleInitial":"C.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":962566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Deelen, Timothy R.","contributorId":371905,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":962567,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crimmins, Shawn M. 0000-0001-6229-5543 scrimmins@usgs.gov","orcid":"https://orcid.org/0000-0001-6229-5543","contributorId":5498,"corporation":false,"usgs":true,"family":"Crimmins","given":"Shawn","email":"scrimmins@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":962568,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275576,"text":"70275576 - 2026 - Weather, water, and precipitation","interactions":[],"lastModifiedDate":"2026-05-04T15:43:51.730851","indexId":"70275576","displayToPublicDate":"2026-02-05T10:40:54","publicationYear":"2026","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Weather, water, and precipitation","docAbstract":"<p>No abstract available.</p>","largerWorkTitle":"Mountain sheep in North America: Biology, ecology, conservation, and management","language":"English","publisher":"CRC Press","usgsCitation":"Cain, J.W., and van de Kerk, M., 2026, Weather, water, and precipitation, chap. 12 <i>of</i> Mountain sheep in North America: Biology, ecology, conservation, and management.","ipdsId":"IP-174390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":503940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Krausman, Paul R.","contributorId":356094,"corporation":false,"usgs":false,"family":"Krausman","given":"Paul R.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":960968,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jex, William","contributorId":371079,"corporation":false,"usgs":false,"family":"Jex","given":"William","affiliations":[],"preferred":false,"id":960969,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van de Kerk, Madelon","contributorId":371051,"corporation":false,"usgs":false,"family":"van de Kerk","given":"Madelon","affiliations":[{"id":38118,"text":"Western Colorado University","active":true,"usgs":false}],"preferred":false,"id":960927,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273385,"text":"sir20255104 - 2026 - Estimating the magnitude and frequency of floods at ungaged locations on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, using data through the 2022 water year","interactions":[],"lastModifiedDate":"2026-02-05T22:06:06.078649","indexId":"sir20255104","displayToPublicDate":"2026-02-05T08:41:23","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5104","displayTitle":"Estimating the Magnitude and Frequency of Floods at Ungaged Locations on Urban Streams in Tennessee and Parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, Using Data Through the 2022 Water Year","title":"Estimating the magnitude and frequency of floods at ungaged locations on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, using data through the 2022 water year","docAbstract":"<p>In 2024, the U.S. Geological Survey, in cooperation with the Tennessee Department of Transportation, updated the methods for predicting the magnitude and frequency of floods at ungaged locations on streams in urban areas in Tennessee. The study area included 136 streamgages in urban areas in Tennessee, Mississippi, Alabama, Georgia, South Carolina, and North Carolina that had at least 10 percent developed imperviousness in their basins as indicated by data from the 2011 National Land Cover Database. Regression equations were developed to predict streamflows corresponding to the 50-​, 20-​, 10-​, 4-​, 2-​, 1-​, 0.5-​, and 0.2-​percent annual exceedance probabilities (AEPs) and were incorporated into the StreamStats application. In generalized least-​squares regression, the base-​10 logarithm of drainage area, the percentages of the streamgage basins in developed land use, and the percentages of the streamgage basins in the Piedmont and Ridge and Valley Level 3 ecoregions were statistically significant in explaining the variability in annual peak streamflows in the study area. Drainage areas ranged from 0.164 to 93.4 square miles, the percentage of the streamgage basins in developed land use ranged from 26 to 100 percent, and the percentage of the streamgage basins in Piedmont and Ridge and Valley Level 3 ecoregions ranged from 0 to 100 percent. Pseudo R-​squared values for the regression equations ranged from 0.86, or 86 percent, for the 50-​ and 20-​percent AEPs (2-​ and 5-​year floods) to 0.71, or 71 percent, for the 0.2-​percent AEP (500-​year flood). The average variance of prediction (in log base-​10 units) ranged from 0.023 for the 20-​ and 10-​percent AEPs to 0.05 for the 0.2-​percent AEP. The average variance of prediction can be reported as a percentage of the predicted value, known as the standard error of prediction, which ranged from 35.8 percent for the 20-​percent AEP (5-​year flood) to 55.4 percent for the 0.2-​percent AEP (500-​year flood). Methods are presented for estimating annual peak streamflows for gaged locations, ungaged locations on gaged streams, and locations on ungaged streams.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255104","issn":"2328-​0328","collaboration":"Prepared in cooperation with the Tennessee Department of Transportation","usgsCitation":"Wagner, D.M., and Ladd, D.E., 2026, Estimating the magnitude and frequency of floods at ungaged locations on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina, using data through the 2022 water year: U.S. Geological Survey Scientific Investigations Report 2025–5104, 17 p., https://doi.org/10.3133/sir20255104.","productDescription":"Report: vi, 17 p.; 3 Data Releases","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-168835","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498491,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1JTPBQY","text":"USGS Data Release","linkHelpText":"- Basin characteristics in support of generalized least-​squares (GLS) regression for 136 USGS streamgages in urban areas in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina (ver. 2.0, September 2025)"},{"id":498493,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1TE9KTH","text":"USGS Data Release","linkHelpText":"- Results of generalized least-squares (GLS) regression for 136 USGS streamgages in urban areas in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina (ver. 1.1, January 2026)"},{"id":498490,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255104/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5104 HTML"},{"id":498492,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VMP56R","text":"USGS Data Release","linkHelpText":"- At-​site flood frequency for 139 urban streamgages in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina using data through water year 2022"},{"id":498489,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5104/sir20255104.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5104 XML"},{"id":498488,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5104/sir20255104.pdf","size":"4.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5104 pdf"},{"id":498487,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5104/coverthb.jpg"},{"id":498486,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5104/images"},{"id":499610,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119203.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Georgia, Mississippi, North Carolina, South Carolina, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.72376308003552,\n              36.51223155288169\n            ],\n            [\n              -91.20372096539845,\n              36.51223155288169\n            ],\n            [\n              -91.20372096539845,\n              31.285937937939266\n            ],\n            [\n              -77.72376308003552,\n              31.285937937939266\n            ],\n            [\n              -77.72376308003552,\n              36.51223155288169\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p><p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-​Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>At-​Site Flood-​Frequency Analysis</li><li>Basin Characteristics</li><li>Regression Equations</li><li>Applications of Regression Equations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2026-02-05","noUsgsAuthors":false,"publicationDate":"2026-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953529,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ladd, David E. 0000-0002-9247-7839","orcid":"https://orcid.org/0000-0002-9247-7839","contributorId":216197,"corporation":false,"usgs":true,"family":"Ladd","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953530,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273860,"text":"70273860 - 2026 - James Buttle Review: A synthesis of riparian plant water use over two decades in North American drylands","interactions":[],"lastModifiedDate":"2026-02-09T15:06:28.28691","indexId":"70273860","displayToPublicDate":"2026-02-05T07:57:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"James Buttle Review: A synthesis of riparian plant water use over two decades in North American drylands","docAbstract":"Assessing riparian ecosystem water use, particularly transpiration from vegetation and evaporation from soils (‘plant water use’, hereafter), is key to developing sound water management approaches. In western North America, a multidecadal drought is reducing water availability and increasing the use of detailed water budgets. Questions related to both removal of vegetation for water salvage and budgeting water to maintain valuable riparian areas have led to a wealth of studies on riparian plant water use across dryland river systems in North America. Towards evaluating broad patterns in riparian plant water use, we synthesise results from over two decades of research, with the goal of informing water management policies and planning. This study asks: (1) Do some riparian plant communities exhibit lower plant water use than others? (2) Do riparian plant communities have higher water use under hotter climates? (3) Can statistical models based on existing data, plant communities and climate data be used to predict water use for unmeasured locations? Using hierarchical Bayesian models to synthesise data on annual and daily-scale plant water use, we show that marshes, cottonwood-willow stands and tamarisk not impacted by biocontrol use larger amounts of water at the annual scale than other vegetation communities. All plant communities have higher annual water use in hotter climates, which is likely related to a longer growing season and higher evaporative demand. Statistical models based on existing water-use data, plant communities and climate provide bounds on plant water use that can be applied to unmeasured locations and used to evaluate the effects of plant community change on water use. This synthesis produces the most complete summary of riparian plant water use in North American drylands to date and provides water use predictions across different climate and community scenarios that can be used for current and future conditions.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70408","usgsCitation":"Palmquist, E.C., Nagler, P., Ogle, K., DiMartini, C., Kennedy, J.R., and Sankey, J., 2026, James Buttle Review: A synthesis of riparian plant water use over two decades in North American drylands: Hydrological Processes, v. 40, no. 2, e70408, 19 p., https://doi.org/10.1002/hyp.70408.","productDescription":"e70408, 19 p.","ipdsId":"IP-180955","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":506116,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70408","text":"Publisher Index Page"},{"id":499673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Colorado, Idaho, Nevada, New Mexico, Oregon, Texas, Wyoming","otherGeospatial":"western Pacific Coastal Plain, western Sierra Madre Piedmont","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.30356692213257,\n              42.70636820692536\n            ],\n            [\n              -121.30356692213257,\n              26.163421921669297\n            ],\n            [\n              -103.74141493477907,\n              26.163421921669297\n            ],\n            [\n              -103.74141493477907,\n              42.70636820692536\n            ],\n            [\n              -121.30356692213257,\n              42.70636820692536\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":955301,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nagler, Pamela L. 0000-0003-0674-103X","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":363777,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","middleInitial":"L.","affiliations":[],"preferred":true,"id":955302,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogle, Kiona","contributorId":360747,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","affiliations":[{"id":86099,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":955303,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DiMartini, Claudia 0009-0001-2457-0513","orcid":"https://orcid.org/0009-0001-2457-0513","contributorId":356930,"corporation":false,"usgs":false,"family":"DiMartini","given":"Claudia","affiliations":[{"id":85285,"text":"formerly: US Geological Survey, Southwest Biological Science Center, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":955304,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":955305,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":955306,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273788,"text":"sir20255112 - 2026 - Flood-inundation maps for Río Grande De Loíza in and near Caguas, Puerto Rico, 2026","interactions":[],"lastModifiedDate":"2026-04-16T17:28:57.304385","indexId":"sir20255112","displayToPublicDate":"2026-02-04T15:25:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5112","displayTitle":"Flood-Inundation Maps for Río Grande De Loíza In and Near Caguas, Puerto Rico, 2026","title":"Flood-inundation maps for Río Grande De Loíza in and near Caguas, Puerto Rico, 2026","docAbstract":"<p>Digital flood-inundation maps for a 2.7-mile reach of Río Grande De Loíza in Caguas, Puerto Rico, were created by the U.S. Geological Survey. Water-surface profiles were computed for the stream reach by using a one-dimensional, steady-state, step-backwater model. The model was calibrated to the current (2025) stage-streamflow relation (rating curve) for the U.S. Geological Survey streamgage 50055000, Río Grande De Loíza, Puerto Rico. The resulting hydraulic model was then used to compute 16 water-surface profiles for water levels (flood stages) ranging from 19.00 to 34.00 feet at the streamgage; these flood stages range from “moderate flood stage” to above “major flood stage” as defined by the National Weather Service. The 34.00-foot stage exceeds the historical maximum peak stage of 33.20 feet, recorded at the streamgage in 1945. The simulated water-surface profiles were used in combination with a digital elevation model derived from light detection and ranging (lidar) data to map the inundated areas associated with each flood profile.</p><p>The flood-inundation maps and the supporting hydraulic model produced by this study can be used by emergency managers and local officials to assess flood-mitigation strategies and to define flood-hazard areas to help protect life and property, to coordinate flood-response activities such as evacuations and road closures, and to aid post-flood recovery efforts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255112","usgsCitation":"Ostheimer, C.J., Torres-Garcia, L.M., and Gomez-Fragoso, J.M., 2026, Flood-inundation maps for Río Grande De Loíza in and near Caguas, Puerto Rico, 2026: U.S. Geological Survey Scientific Investigations Report 2025–5112, 16 p., https://doi.org/10.3133/sir20255112.","productDescription":"Report: vii, 16 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-179822","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":499274,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5112/coverthb.jpg"},{"id":499277,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255112/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5112 HTML"},{"id":499276,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5112/sir20255112.pdf","size":"3.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5112 PDF"},{"id":499609,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119202.htm","linkFileType":{"id":5,"text":"html"}},{"id":499280,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1IZ6D5V","text":"USGS data release","linkHelpText":"Geospatial data sets and hydraulic model for Río Grande De Loíza in Caguas, Puerto Rico"},{"id":499279,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5112/images/"},{"id":499278,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5112/sir20255112.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5112 XML"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.09390482728071,\n              18.33190261334512\n            ],\n            [\n              -66.09390482728071,\n              18.134783495693256\n            ],\n            [\n              -65.97456945279221,\n              18.134783495693256\n            ],\n            [\n              -65.97456945279221,\n              18.33190261334512\n            ],\n            [\n              -66.09390482728071,\n              18.33190261334512\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:GS-W-OKI_Director@usgs.gov\" data-mce-href=\"mailto:GS-W-OKI_Director@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water\" data-mce-href=\"https://www.usgs.gov/centers/oki-water\">Ohio-Kentucky-Indiana Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd, Suite 100<br>Columbus, OH 43229-1737</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Data Dissemination</li><li>Uncertainties and Limitations of Flood-Inundation Maps</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2026-02-04","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostheimer, Chad J. 0000-0002-4528-8867","orcid":"https://orcid.org/0000-0002-4528-8867","contributorId":213950,"corporation":false,"usgs":true,"family":"Ostheimer","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres-Garcia, Legna M. 0000-0002-6786-5944 ltorresgarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-5944","contributorId":196150,"corporation":false,"usgs":true,"family":"Torres-Garcia","given":"Legna","email":"ltorresgarcia@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":954792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Fragoso, Julieta M. 0000-0002-1080-2950","orcid":"https://orcid.org/0000-0002-1080-2950","contributorId":223241,"corporation":false,"usgs":true,"family":"Gomez-Fragoso","given":"Julieta","middleInitial":"M.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954793,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274569,"text":"70274569 - 2026 - Seasonal variation in wild pig (Sus scrofa) diet revealed by DNA metabarcoding","interactions":[],"lastModifiedDate":"2026-03-31T15:20:04.825759","indexId":"70274569","displayToPublicDate":"2026-02-04T10:14:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Seasonal variation in wild pig (<i>Sus scrofa</i>) diet revealed by DNA metabarcoding","title":"Seasonal variation in wild pig (Sus scrofa) diet revealed by DNA metabarcoding","docAbstract":"<p><span>Invasive species within North America, particularly wild pigs (</span><i>Sus scrofa</i><span>), pose a serious threat to native ecosystems through both direct and indirect impacts. Wild pigs are a large-bodied omnivorous species native to Eurasia and introduced to North America. Using DNA metabarcoding of fecal samples, we investigated the diet of wild pigs at a bottomland hardwood forest ecosystem within Felsenthal National Wildlife Refuge in southern Arkansas. We found that the wild pig diet was diverse and included at least 74 plant families and 106 genera, dominated by plant matter with Fagaceae (oaks and hickories), Poaceae (grasses), and Asteraceae (asters, sunflowers, and daisies) comprising over 50% of total dietary detections. Hard mast was a primary food source in fall and winter, while herbaceous vegetation peaked in spring. We documented DNA from 23 species of vertebrates in wild pig fecal samples, including mammals, birds, fish, frogs, and turtles. Vertebrate matter was most frequently detected in autumn. Vertebrate consumption constituted ~17% of wild pig diet by relative read abundance. Our results highlighted the potential long-term ecological consequences of wild pig foraging behaviors, particularly competition for critical food resources with native wildlife and impact on forest regeneration through the consumption of mast. Understanding dietary dynamics is crucial for managing wild pig populations and mitigating impacts on vulnerable ecosystems and wildlife.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.70019","usgsCitation":"Wilson, K., Chiavacci, S.J., Roberts, C.P., and DeGregorio, B.A., 2026, Seasonal variation in wild pig (Sus scrofa) diet revealed by DNA metabarcoding: Wildlife Society Bulletin, v. 50, no. 1, e70019, 22 p., https://doi.org/10.1002/wsb.70019.","productDescription":"e70019, 22 p.","ipdsId":"IP-176314","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.70019","text":"Publisher Index Page"},{"id":501862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Felsenthal National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.25663096909476,\n              33.2889631983969\n            ],\n            [\n              -92.25663096909476,\n              33.05047632468441\n            ],\n            [\n              -92.0547025523673,\n              33.05047632468441\n            ],\n            [\n              -92.0547025523673,\n              33.2889631983969\n            ],\n            [\n              -92.25663096909476,\n              33.2889631983969\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Kenneth","contributorId":341075,"corporation":false,"usgs":false,"family":"Wilson","given":"Kenneth","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chiavacci, Scott J. 0000-0003-3579-8377","orcid":"https://orcid.org/0000-0003-3579-8377","contributorId":206161,"corporation":false,"usgs":true,"family":"Chiavacci","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":958333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958332,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958331,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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