Human impacts from dams reduce river sediment fluxes and are primary causes of coastal erosion worldwide. Here we provide new satellite-derived shoreline observation techniques to examine beach area trends across the diverse coastal settings of California. Contrary to global trends, these data reveal that the most heavily urbanized and dammed region of southern California experienced net beach growth of over 2 million m2 during 1984-2024. While several beaches experienced severe erosion, overall widening is explained by sufficient sediment supply and concentrated widening from longshore transport captured at coastal structures and in littoral convergence zones. These results indicate that adequate sediment sources exist in this human-modified landscape to mitigate coastal erosion, but that this sediment is not effectively distributed to vulnerable beaches. This highlights the critical role that longshore sediment transport plays in long-term beach trends and illuminates management opportunities for coastal sustainability at the regional scale.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-026-68880-9","usgsCitation":"Warrick, J.A., Vos, K., Buscombe, D.D., Ritchie, A., Vitousek, S., Hachey, T., and Sanders, B., 2026, Net widening of Southern California beaches: Nature Communications, v. 17, 1705, 15 p., https://doi.org/10.1038/s41467-026-68880-9.","productDescription":"1705, 15 p.","ipdsId":"IP-179766","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":502982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-026-68880-9","text":"Publisher Index Page"},{"id":502939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.2626309,\n 32.5606682\n ],\n [\n -116.8630481,\n 32.5783916\n ],\n [\n -117.4238661,\n 33.5185381\n ],\n [\n -118.4052976,\n 34.1706348\n ],\n [\n -119.3937376,\n 34.4774706\n ],\n [\n -120.5293941,\n 34.6102787\n ],\n [\n -120.4242407,\n 34.3849575\n ],\n [\n -119.7232182,\n 34.3618132\n ],\n [\n -119.3376558,\n 34.1880274\n ],\n [\n -119.1694104,\n 34.0603564\n ],\n [\n -118.7768378,\n 33.938309\n ],\n [\n -118.5314799,\n 33.9208593\n ],\n [\n -118.440347,\n 33.6936888\n ],\n [\n -118.2160198,\n 33.6295061\n ],\n [\n -118.0267437,\n 33.6119934\n ],\n [\n -117.5500484,\n 33.2258157\n ],\n [\n -117.2626309,\n 32.5606682\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vos, Kilian 0000-0002-9518-1582","orcid":"https://orcid.org/0000-0002-9518-1582","contributorId":229435,"corporation":false,"usgs":false,"family":"Vos","given":"Kilian","email":"","affiliations":[{"id":27304,"text":"University of New South Wales","active":true,"usgs":false}],"preferred":false,"id":959619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":959620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. 0000-0001-5826-9983","orcid":"https://orcid.org/0000-0001-5826-9983","contributorId":333630,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959621,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959622,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hachey, Teresa","contributorId":370064,"corporation":false,"usgs":false,"family":"Hachey","given":"Teresa","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":959623,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanders, Brett 0000-0002-1592-5204","orcid":"https://orcid.org/0000-0002-1592-5204","contributorId":370065,"corporation":false,"usgs":false,"family":"Sanders","given":"Brett","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":959624,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274170,"text":"70274170 - 2026 - Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption","interactions":[],"lastModifiedDate":"2026-03-03T14:59:15.842923","indexId":"70274170","displayToPublicDate":"2026-01-29T07:53:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption","docAbstract":"The 2018 eruption of Kīlauea volcano in its Lower East Rift Zone began with the discharge of evolved high-Ti basalt as weak lava fountains and short, slow-moving lava flows. The lavas were quickly geochemically recognized as being derived from magmas stored within the rift zone and remobilized by a new intrusion, a sequence that is common at Kīlauea. This initial phase of the 2018 eruption, referred to as phase 1a, lasted for 6 days and was followed by extrusion of mixed magma after a 3-day pause. Even though remobilization of older rift zone magmas is common within Kīlauea’s rift zones, it is difficult to determine which past intrusion(s) may have initially emplaced those stored magmas. This difficulty stems from the tendency for Kīlauea magmas to follow very similar differentiation paths without significant variations in major, minor, or even trace element chemistry. We investigate possible magma sources for the lavas erupted during phase 1a of the 2018 eruption using whole-rock, mineral, and glass major and trace element compositions from historical East Rift Zone eruptions with adjacent fissures. We consider two primary hypotheses for the phase 1a source: magmas associated with the 1955 Lower East Rift Zone eruption or the nine eruptions in the Middle and Upper East Rift Zone during the 1960s. Our results suggest that magma associated with the earliest phases of Kīlauea’s 1955 eruption was the most likely source of the 2018 phase 1a remobilized magma. We determine volatile saturation pressures from melt inclusion chemistry and find similar storage depths for the 2018 phase 1a and early 1955 magmas. The phase 1a and early 1955 lavas are nearly indistinguishable in all of the compositional criteria considered, implying that the leftover 1955 magma body barely cooled and differentiated in the 63 years between eruptions (cooling rates of ~0.1 °C/year). This study sheds light on the potential for protracted storage of eruptible magmas in rift zones at Kīlauea, and highlights some of the challenges and solutions to identifying genetic relationships between magmas at Kīlauea.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egag008","usgsCitation":"Gallo, R., Barreau, L., Shea, T., Cluzel, N., Russo, C., Pietruszka, A., Nelson, W., Lerner, A., Wallace, P.J., and Gansecki, C., 2026, Magmatic source of the opening phase of Kīlauea’s 2018 Lower East Rift Zone eruption: Journal of Petrology, v. 67, no. 2, egag008, https://doi.org/10.1093/petrology/egag008.","productDescription":"egag008","ipdsId":"IP-179268","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":500723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.2962677550091,\n 19.48026991999376\n ],\n [\n -155.2962677550091,\n 19.388465727050132\n ],\n [\n -155.18401212172833,\n 19.388465727050132\n ],\n [\n -155.18401212172833,\n 19.48026991999376\n ],\n [\n -155.2962677550091,\n 19.48026991999376\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"67","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallo, Rose","contributorId":367112,"corporation":false,"usgs":false,"family":"Gallo","given":"Rose","affiliations":[{"id":39163,"text":"University of Hawaii - Manoa","active":true,"usgs":false}],"preferred":false,"id":956762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barreau, Laurine","contributorId":367113,"corporation":false,"usgs":false,"family":"Barreau","given":"Laurine","affiliations":[{"id":62801,"text":"Université Clermont Auvergne","active":true,"usgs":false}],"preferred":false,"id":956763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shea, Tom 0000-0001-7378-684X","orcid":"https://orcid.org/0000-0001-7378-684X","contributorId":223773,"corporation":false,"usgs":false,"family":"Shea","given":"Tom","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":956764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cluzel, Nicolas 0000-0002-2171-8789","orcid":"https://orcid.org/0000-0002-2171-8789","contributorId":218538,"corporation":false,"usgs":false,"family":"Cluzel","given":"Nicolas","email":"","affiliations":[{"id":39864,"text":"Laboratoire Magmas et Volcans, Université Blaise Pascal","active":true,"usgs":false}],"preferred":false,"id":956765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russo, Chris","contributorId":351643,"corporation":false,"usgs":false,"family":"Russo","given":"Chris","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pietruszka, Aaron J.","contributorId":346909,"corporation":false,"usgs":false,"family":"Pietruszka","given":"Aaron J.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":956767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, William","contributorId":300211,"corporation":false,"usgs":false,"family":"Nelson","given":"William","affiliations":[{"id":65046,"text":"U. of Hawaii","active":true,"usgs":false}],"preferred":false,"id":956768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lerner, Allan 0000-0001-7208-1493","orcid":"https://orcid.org/0000-0001-7208-1493","contributorId":229362,"corporation":false,"usgs":true,"family":"Lerner","given":"Allan","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":956769,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wallace, Paul J.","contributorId":367114,"corporation":false,"usgs":false,"family":"Wallace","given":"Paul","middleInitial":"J.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":956770,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gansecki, Cheryl 0000-0001-5581-9097","orcid":"https://orcid.org/0000-0001-5581-9097","contributorId":215620,"corporation":false,"usgs":false,"family":"Gansecki","given":"Cheryl","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":956771,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70275341,"text":"70275341 - 2026 - Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2026-04-29T20:04:21.695217","indexId":"70275341","displayToPublicDate":"2026-01-28T16:01:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA","docAbstract":"Mountain forests and woodlands in semiarid regions of the world are threatened by climatic change and other human impacts. In the southwestern USA, climate and culturally driven changes to the structure and fire regimes of dry coniferous forests over recent centuries are well documented by tree-ring archives. However, the roles of climate and people as drivers of millennial-scale changes are less understood. We present a new record of vegetation dynamics and regional fire activity inferred from pollen, microscopic charcoal, and sediment geochemistry from Santa Fe Lake, NM (3532 m a.s.l.), the southernmost natural lake in the Rocky Mountains. Declining elemental intensities (e.g., Ti, Fe, Si) record local deglaciation after 14,000 cal yr BP followed by upslope expansion of trees indicated by increasing Pinus and Picea pollen percentages as the climate warmed during the Late Glacial. Cool, dry growing seasons probably limited the establishment of dense forests until after 12,200 cal yr BP when we hypothesize that Pinus ponderosa (ponderosa pine) expanded regionally (i.e., within 10–100 km) due to continued warming and a possible increase in monsoonal precipitation. Subalpine forests established near Santa Fe Lake by 10,300 cal yr BP as indicated by abundant conifer stomates and increasing Picea and Pinus aristata pollen percentages, which are highest after 5100 cal yr BP. Increasing Juniperus-type, Quercus, and Pinus edulis-type pollen record changes in vegetation belts at lower elevations after 10,300 cal yr BP. Maize pollen, an unambiguous indicator of Puebloan agriculture, first appears at 800 cal yr BP (1150 cal yr CE) and is present through 1600 cal yr CE when Spanish colonization brought cultural upheaval and population loss to local indigenous communities. Regional fire activity, inferred from microscopic charcoal influx, remained relatively constant for most of our record. However, average microscopic charcoal influx more than doubled relative to the rest of the Holocene during the last 2000 years, with the highest influx after 1550 cal yr BP (400 cal yr CE). The increased influx of microscopic charcoal coincides with archaeological evidence for dramatic regional population growth in the northern Rio Grande region and probably reflects extensive cultural burning associated with the development of an agricultural economy. Although climate was an important driver of vegetation change and fire regimes in the mountains of the southwestern USA during the Holocene, our results suggest that human impacts on regional burning during the last 2000 years far exceeded earlier climate-driven variation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2026.109821","usgsCitation":"Henne, P., Stolze, S., Kehrwald, N., Brice, R.L., and Allen, C.D., 2026, Millennial-scale climatic and cultural impacts on vegetation and fire at the southern edge of the Rocky Mountains, USA: Quaternary Science Reviews, v. 376, 109821, 18 p., https://doi.org/10.1016/j.quascirev.2026.109821.","productDescription":"109821, 18 p.","ipdsId":"IP-170201","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":503785,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2026.109821","text":"Publisher Index Page"},{"id":503659,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountains","volume":"376","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stolze, Susann","contributorId":365773,"corporation":false,"usgs":false,"family":"Stolze","given":"Susann","affiliations":[{"id":87215,"text":"Grana Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":960628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":960630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D.","contributorId":361385,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","middleInitial":"D.","affiliations":[{"id":86262,"text":"Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":960631,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273710,"text":"fs20263060 - 2026 - Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024","interactions":[],"lastModifiedDate":"2026-01-28T19:45:07.972166","indexId":"fs20263060","displayToPublicDate":"2026-01-28T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3060","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources in the Greater Carpathian Area, 2024","title":"Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 208 million barrels of oil and 4.1 trillion cubic feet of gas in the greater Carpathian area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20263060","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered conventional oil and gas resources in the Greater Carpathian area, 2024: U.S. Geological Survey Fact Sheet 2026–3060, 4 p., https://doi.org/10.3133/fs20263060.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-171516","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":499209,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263060/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3060"},{"id":499188,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3060/fs20263060.xml"},{"id":499187,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3060/images"},{"id":498996,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1NQM3OG","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Greater Carpathian Area—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":498995,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3060/fs20263060.pdf","text":"Report","size":"2.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3060"},{"id":498994,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3060/coverthb.jpg"}],"country":"Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Hungary, Poland, Romania, Serbia, Slovakia, Slovenia, Ukraine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 28.282640013090003,\n 42.19775738136639\n ],\n [\n 29.706673875286214,\n 45.05546549987491\n ],\n [\n 28.034737883187205,\n 45.36262108301031\n ],\n [\n 27.723078389295182,\n 46.84002864420884\n ],\n [\n 25.544381185042795,\n 49.506035185066054\n ],\n [\n 22.85251623689095,\n 50.747705626626896\n ],\n [\n 17.898540113853898,\n 50.84734182527046\n ],\n [\n 15.148267433150153,\n 49.86805347515545\n ],\n [\n 14.631230657569603,\n 47.44941241529756\n ],\n [\n 15.241253273870484,\n 46.1571351730216\n ],\n [\n 17.012337431389938,\n 44.40015986232331\n ],\n [\n 21.509502224383397,\n 44.25564458758868\n ],\n [\n 23.414317543662804,\n 43.11294701010348\n ],\n [\n 27.384869093560297,\n 42.7282775521596\n ],\n [\n 28.282640013090003,\n 42.19775738136639\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Green sulfur bacteria biomarkers that indicate euxinia within the photic zone sometimes co-occur with evidence of contradictory depositional redox conditions, such as oxygen-requiring fossils or bioturbation. Intermittent euxinia may explain this apparent contradiction, and recent studies of modern environments show that green sulfur bacteria dwell in transiently euxinic settings. As a result, new approaches are needed to distinguish green sulfur bacteria biomarkers indicative of persistent versus intermittent euxina in ancient sedimentary samples, which this study addresses by investigating how the distribution of isorenieratene derivatives relates to depositional redox conditions. To accomplish this objective, this study focuses on two drill cores through the Upper Cretaceous Mowry Shale and the Eagle Ford Group. These drill cores are comparably thermally immature according to vitrinite reflectance data, and these formations in these cores capture a spectrum of depositional redox conditions according to multiple organic and inorganic proxies, including newly acquired iron speciation and kerogen organic sulfur data. The results presented here reveal that higher molecular weight diagenetic products of isorenieratene are preferentially preserved under persistent euxinia compared to intermittently euxinic intervals that contain isorenieratene derivatives that are shifted to lower molecular weights. Further, the total inventory of aromatic carotenoid diagenetic products contains features that can be used to identify green sulfur bacteria biomarkers from reworked petrogenic sources. Accordingly, the diagenetic fate of isorenieratene and the distribution of its diagenetic products distinguish persistent versus intermittent euxinia, which can be used to sharpen our evaluation of euxinia in the geologic record.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2025.12.033","usgsCitation":"French, K.L., Hackley, P.C., and Sperling, E.A., 2026, Differentiating persistent and intermittent euxinia from the molecular derivatives of green sulfur bacteria carotenoids: Geochemica et Cosmochimica Acta, v. 415, p. 130-145, https://doi.org/10.1016/j.gca.2025.12.033.","productDescription":"16 p.","startPage":"130","endPage":"145","ipdsId":"IP-179628","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":504170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gca.2025.12.033","text":"Publisher Index Page"},{"id":503932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"415","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":960952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":960953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sperling, Erik A.","contributorId":371074,"corporation":false,"usgs":false,"family":"Sperling","given":"Erik","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":960954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275707,"text":"70275707 - 2026 - Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","interactions":[],"lastModifiedDate":"2026-05-13T14:17:01.525783","indexId":"70275707","displayToPublicDate":"2026-01-28T09:12:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics","docAbstract":"Riverine dissolved silicon (DSi) dynamics reflect integrated geologic, hydrologic, climatic, and ecological controls. We compiled annual DSi data for 337 rivers across four continents and trained interpretable machine-learning models to predict concentrations and yields from 28 watershed variables. Both models reproduced testing data (R2 = 0.85 for concentration and 0.96 for yield) and withheld-site validation (R2 = 0.91 and 0.93). Lithology, especially volcanic rock fraction, strongly controlled DSi while subsurface storage, topography, and land cover further shaped DSi dynamics. DSi concentrations and yields exhibited nonlinear responses to basin slope, recession-curve slope, proportion of open-water cover, and nutrient availability. Concentrations showed sharper threshold responses to hydrologic and biotic variables, whereas yields varied more gradually with climate and lithology. These results provide a framework for forecasting DSi under land cover and climate change and for embedding realistic, nonlinear processes in mechanistic models.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL118853","usgsCitation":"Bush, S.A., Johnson, K., Jankowski, K.J., Carey, J.C., Sethna, L.R., Lyon, N., and Sullivan, P.L., 2026, Thinking outside the rocks: Subsurface water storage, topography, and land cover are key modulators of large-scale riverine dissolved silicon dynamics: Geophysical Research Letters, v. 53, no. 2, e2025GL118853, 12 p., https://doi.org/10.1029/2025GL118853.","productDescription":"e2025GL118853, 12 p.","ipdsId":"IP-182450","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":504371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl118853","text":"Publisher Index Page"},{"id":504299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bush, Sidney A. 0000-0002-8359-7927","orcid":"https://orcid.org/0000-0002-8359-7927","contributorId":265930,"corporation":false,"usgs":false,"family":"Bush","given":"Sidney","email":"","middleInitial":"A.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":961459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Keira 0000-0003-0671-3901","orcid":"https://orcid.org/0000-0003-0671-3901","contributorId":330720,"corporation":false,"usgs":false,"family":"Johnson","given":"Keira","email":"","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":961461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carey, Joanna C. 0000-0003-2365-9185","orcid":"https://orcid.org/0000-0003-2365-9185","contributorId":363158,"corporation":false,"usgs":false,"family":"Carey","given":"Joanna","middleInitial":"C.","affiliations":[{"id":86633,"text":"Babson College","active":true,"usgs":false}],"preferred":false,"id":961462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sethna, Lienne R. 0000-0003-1156-172X","orcid":"https://orcid.org/0000-0003-1156-172X","contributorId":330721,"corporation":false,"usgs":false,"family":"Sethna","given":"Lienne","email":"","middleInitial":"R.","affiliations":[{"id":78987,"text":"St. Croix Watershed Research Station, Marine on St. Croix, Minnesota 55047","active":true,"usgs":false}],"preferred":false,"id":961463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyon, Nicholas 0000-0003-3905-1078","orcid":"https://orcid.org/0000-0003-3905-1078","contributorId":332697,"corporation":false,"usgs":false,"family":"Lyon","given":"Nicholas","email":"","affiliations":[{"id":79584,"text":"1021 Anacapa St, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":961464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Pamela L. 0000-0001-8780-8501","orcid":"https://orcid.org/0000-0001-8780-8501","contributorId":330723,"corporation":false,"usgs":false,"family":"Sullivan","given":"Pamela","email":"","middleInitial":"L.","affiliations":[{"id":78986,"text":"College of Earth, Ocean, and Atmospheric Science, Oregon State University, Corvallis, Oregon, 97331","active":true,"usgs":false}],"preferred":false,"id":961465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70275089,"text":"70275089 - 2026 - Vulnerability of different Colorado Plateau land types to drivers of change","interactions":[],"lastModifiedDate":"2026-04-15T15:18:31.503024","indexId":"70275089","displayToPublicDate":"2026-01-28T08:04:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of different Colorado Plateau land types to drivers of change","docAbstract":"Public lands are challenged by a range of pressures—changing climate, increasing visitation, resource extraction—and their effects can span spatial scales, often crossing land management jurisdictional boundaries. Research approaches which explicitly span jurisdictions can support strategies to contend with regional pressures. We assess management-relevant drivers of change—aridification, livestock grazing, invasive species, surface disturbance, and fire—across a patchwork of land management units and agencies on the Colorado Plateau, focusing on southeastern Utah, USA. We use vulnerability analysis, first evaluating exposure to drivers across the landscape, then quantifying sensitivity to each driver across different land types, defined by mapped Ecological Site Groups, a system for classifying landscapes according to physical factors including climate, soils, and topographic setting. We address the questions: 1) how are drivers spatially distributed across the study region; and, 2) based on exposure and sensitivity, are certain land types more vulnerable to these drivers? We find that the study region has high exposure and sensitivity—and thus high vulnerability—to aridification and grazing, but low exposure and vulnerability to other drivers. Although more sensitive land types were not generally more exposed, identifying which areas are most sensitive can guide adaptive measures, like where new uses or disturbances would be least harmful and which areas could be prioritized for restoration. The method we demonstrate is a flexible tool for assessing landscape-scale impacts, is built on nationally available datasets, and can be tailored to different datasets and sensitivity metrics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2026.114654","usgsCitation":"Stegner, M., Belnap, J., Bishop, T.B., Knight, A.C., Nauman, T.W., and Duniway, M.C., 2026, Vulnerability of different Colorado Plateau land types to drivers of change: Ecological Indicators, v. 183, 114654, 12 p., https://doi.org/10.1016/j.ecolind.2026.114654.","productDescription":"114654, 12 p.","ipdsId":"IP-182503","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2026.114654","text":"Publisher Index Page"},{"id":502817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Colorado Plateau, southeastern Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.87236403328416,\n 38.056076498134814\n ],\n [\n -110.9497077437733,\n 37.155020184223034\n ],\n [\n -110.20845646056098,\n 37.1365601126125\n ],\n [\n -110.20845280562172,\n 38.056076498134814\n ],\n [\n -110.87236403328416,\n 38.056076498134814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stegner, M. Allison 0000-0002-1412-8203","orcid":"https://orcid.org/0000-0002-1412-8203","contributorId":369952,"corporation":false,"usgs":true,"family":"Stegner","given":"M. 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Large-volume effusive tholeiitic eruptions at 2–1.5 mega-annum (Ma) transitioned to more numerous, smaller volume alkali olivine basalt (AOB) events at 1.5–1.0 Ma, with increasing abundances of evolved alkalic rocks (EARs), and a final 1.0–0.3 Ma period dominated by smaller volume, more explosive alkalic eruptions.
Early large-scale melting in a relatively enriched lithospheric mantle (EM) source generated large-volume effusive tholeiitic magmas. Depths of tholeiite magma generation average about 90 kilometers (km) across the field, but depths for individual units decreased southward, consistent with lithospheric thinning toward the Colorado Plateau margin. Early and middle-stage transitional basalts, alkali olivine basalts (AOBs), and basanites originate from a progressively deeper (>100 km) region in a prevalent mantle (PREMA)-like asthenospheric source produced by increasingly smaller degrees of melting, as low as about 2 percent. The chemical signature of the basanites is consistent with small degrees of melting in a carbonated, asthenospheric source to depths of about 140 km. As heat waned, the last phase of volcanism was dominated by more explosive EARs derived at shallower lithospheric pressures but that have isotopic and trace element similarities to the deeper asthenospheric magmas. This suggests mixing between deeper basanitic and shallower tholeiitic magmas. With waning heat, eruptions became more localized along alignments, likely related to boundaries between blocks of Proterozoic crust with differing properties that affected magma ascent.
The petrogenetic patterns are consistent with a variety of processes. Basin and Range Province extension, melting, and heat-induced weakening progressively eroded the Colorado Plateau’s thicker lithosphere, giving rise to relatively high degrees of partial melting from shallower (<90 km) sources that produced the early large volumes of effusive tholeiitic magma. Possible lithosphere delamination and removal, and a resulting steep boundary step with the asthenosphere, may have given rise to mantle edge convection, resulting in the mixing of basanitic and tholeiitic magmas. With plate motion, shear-driven upwelling likely gave an eastward component to convection, affecting relative amounts of melting at the field’s western boundary and corresponding with volcanism moving eastward during times of peak vent production by eruption of alkalic lavas, giving rise to more explosive and lower volume eruptions.
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U.S. Geological Survey
1300 SE Cardinal Court Bldg. 10
Vancouver, WA 98683
Annual waterfowl harvest in North America is estimated through a collaborative and strategic process, with federal harvest surveys the primary method of estimation. Sea duck hunters participating in federal harvest surveys represent a small proportion of the overall waterfowl hunting population, limiting the utility of harvest estimates for sea ducks. The long-tailed duck (Clangula hyemalis) is one such species. To partially address the paucity of long-tailed duck harvest survey information, we conducted in-person hunter surveys from 1 November through 4 December 2016 at a boat launch in Two Rivers, Wisconsin, USA (Lake Michigan), an important area for long-tailed duck harvest within the state. Hunters were present on 15 of 21 survey days, and we surveyed occupants of 62 individual hunting boats on 127 occasions. Long-tailed ducks were the most common (97%) of the 1,431 sea ducks reported harvested by hunters. Hunter harvest of long-tailed ducks averaged 3.8 (95% CI = 3.4, 4.1; range = 0–6) long-tailed ducks/hunter/day. We used count models to evaluate the effects of environmental variables on hunter participation and harvest of long-tailed ducks. Wave height was the most influential predictor variable for hunter participation; an information criterion-based best model (wave height + temperature) indicated that hunter participation decreased by 91.9% (95% CI = 79.3–97.1%) for each 1-m increase in wave height. Long-tailed duck harvest was positively associated with air temperature; the relationship indicated a 9.5% (95% CI = 6.2–12.9%) increase in long-tailed duck harvest with each degree increase in temperature. Our results contribute to the understanding of waterfowl hunter participation, hunter preferences, and harvest on Lake Michigan and can inform managers as they assess regulatory frameworks for sea duck hunting.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70182","usgsCitation":"Fara, L., Beatty, W.S., Gray, B.R., Kenow, K.P., and Eichholz, M.W., 2026, Harvest of long-tailed ducks from an important hunting location on Lake Michigan: Journal of Wildlife Management, v. 90, no. 3, e70182, https://doi.org/10.1002/jwmg.70182.","productDescription":"e70182","ipdsId":"IP-171382","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Two Rivers","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.58814421174469,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.13885420061274\n ],\n [\n -87.55382762153202,\n 44.16475294219143\n ],\n [\n -87.58814421174469,\n 44.16475294219143\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fara, Luke J.","contributorId":194768,"corporation":false,"usgs":false,"family":"Fara","given":"Luke J.","affiliations":[],"preferred":false,"id":957104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":957107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichholz, Michael W.","contributorId":171365,"corporation":false,"usgs":false,"family":"Eichholz","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":26877,"text":"Southern Illinois University, Carbondale, IL","active":true,"usgs":false}],"preferred":false,"id":957108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273752,"text":"ofr20251024 - 2026 - Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","interactions":[],"lastModifiedDate":"2026-02-05T21:59:59.663994","indexId":"ofr20251024","displayToPublicDate":"2026-01-27T11:56:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1024","displayTitle":"Vegetation Cover and Composition in Environments Surrounding Uranium Mines in the Grand Canyon Ecosystem, Northern Arizona","title":"Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona","docAbstract":"Mining uranium from breccia-pipe deposits in the greater Grand Canyon region has occurred since the mid-1900s. However, possible ecosystem contamination with harmful levels of radionuclides may have occurred due to mining activities in the 21st century. In response, a 20-year Federal moratorium on new mining claims in the Grand Canyon watershed was initiated in 2012, to allow time to evaluate the potential effects of uranium exploration and mining on human health, wildlife, and water resources. This moratorium, nor the 2023 designation of the “Baaj Nwaavjo I’tah Kukveni–Ancestral Footprints of the Grand Canyon National Monument,” precludes operation or development of mining claims predating 2012.
Vegetation is a core ecosystem component that may be affected by uranium mining (for instance, through uptake and storage of radionuclides from the air or soil) or may act as a vector of exposure to wildlife, livestock, and humans (for instance, via their consumption of contaminated plant tissues). To provide baseline information about the plant communities associated with uranium mines in the Grand Canyon region, the U.S. Geological Survey surveyed an approximately 200-meter-wide buffer surrounding four breccia-pipe deposits, each in a unique stage of mine development, and at one reference area (a livestock water tank) that underwent ground disturbance but contains no mineral deposits. We sectioned the buffer zones into 0.65–4.52 hectare plots, within which we (1) inventoried all plant species, (2) measured percent cover of plant species, plant functional groups, and ground surface types (dark cyanobacteria, lichen, moss, bedrock, rock, embedded litter, duff, plant bases, and bare soil) using line-point intercept, and (3) measured length and frequency of gaps between perennial plant canopies using canopy gap intercept. We found that plant composition at the mines and the reference area differed from one another but were all characteristic of expected regional vegetation patterns. We provide this data summary as potential baseline information for future research and management efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251024","collaboration":"Prepared in cooperation with the Bureau of Land Management and U.S. Forest Service","usgsCitation":"Mann, R.K., Duniway, M.C., and Hinck, J.E., 2026, Vegetation cover and composition in environments surrounding uranium mines in the Grand Canyon ecosystem, Northern Arizona: U.S. Geological Survey Open-File Report 2025–1024, 44 p., https://doi.org/10.3133/ofr20251024.","productDescription":"Report: vii, 44 p.; Data Release","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-100773","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499605,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119200.htm","linkFileType":{"id":5,"text":"html"}},{"id":499095,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P912U706","text":"USGS data release","description":"Mann, R.K., and Duniway, M.C., 2020, Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA: U.S. Geological Survey data release, https://doi.org/10.5066/P912U706","linkHelpText":"Vegetation cover and composition data in environments surrounding uranium mines in the Grand Canyon ecosystem, USA"},{"id":499094,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1024/images"},{"id":499091,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1024 PDF"},{"id":499090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1024/coverthb.jpg"},{"id":499092,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251024/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1024 HTML"},{"id":499093,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1024/ofr20251024.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1024 XML"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.1667,\n 36.667\n ],\n [\n -113.1667,\n 35.667\n ],\n [\n -111.667,\n 35.667\n ],\n [\n -111.667,\n 36.667\n ],\n [\n -113.1667,\n 36.667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Winter body condition is an important driver of survival, reproductive output, and overall population health in waterfowl. Diving duck species use distinct habitats, exploit unique resources, and can collectively provide an integrated index of winter habitat quality. The San Francisco Bay (SFB) is the largest estuary on the west coast of North America, serving as critical wintering habitat for diving ducks in the Pacific Flyway. To evaluate the body condition of diving ducks after multiple decades of tidal habitat restoration in SFB, we compared structurally corrected measurements (annual and decadal) of total carcass lipid among canvasback (Aythya valisineria), greater scaup (Aythya marila), lesser scaup (Aythya affinis), and ruddy duck (Oxyura jamaicensis). We found greater and lesser scaup gained lipid reserves within the estuary prior to spring migration; however, canvasback and ruddy duck lipid levels declined throughout the winter and into the spring. Lipid loss over the wintering period could indicate a reduction in foraging resource availability, dietary shifts, or metabolic changes. These deficiencies could have negative cross-seasonal implications, as these species must accumulate resources outside of their wintering areas to fuel migration and reproduction. Lipid levels were elevated in lesser scaup collected in 2017-2019 compared to 1998-2000, while we found no decadal differences in lipid levels for canvasback or greater scaup. Our findings suggest tidal restoration in SFB, among other factors, may benefit some diving duck species.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70157","usgsCitation":"Hill, M.A., De La Cruz, S.E., Hall, L.A., Moskal, S.M., Takekawa, J.Y., and Eadie, J.M., 2026, Seasonal and decadal changes in winter body condition of four sympatric diving ducks: Journal of Wildlife Management, v. 90, no. 3, e70157, 18 p., https://doi.org/10.1002/jwmg.70157.","productDescription":"e70157, 18 p.","ipdsId":"IP-170624","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":500191,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500259,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70157","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.80199851025367,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 37.4299942839268\n ],\n [\n -121.7624093609558,\n 38.22193702588538\n ],\n [\n -122.80199851025367,\n 38.22193702588538\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Mason A. 0000-0001-9549-475X","orcid":"https://orcid.org/0000-0001-9549-475X","contributorId":295337,"corporation":false,"usgs":true,"family":"Hill","given":"Mason","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moskal, Stacy M. 0000-0001-7627-5316","orcid":"https://orcid.org/0000-0001-7627-5316","contributorId":342631,"corporation":false,"usgs":true,"family":"Moskal","given":"Stacy","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":955887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Takekawa, John Y.","contributorId":366424,"corporation":false,"usgs":false,"family":"Takekawa","given":"John","middleInitial":"Y.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":955888,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eadie, John M.","contributorId":366425,"corporation":false,"usgs":false,"family":"Eadie","given":"John","middleInitial":"M.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":955889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274093,"text":"70274093 - 2026 - Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","interactions":[],"lastModifiedDate":"2026-02-25T15:55:07.891197","indexId":"70274093","displayToPublicDate":"2026-01-27T08:35:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23306,"text":"Environmental Science and Technology - Water","active":true,"publicationSubtype":{"id":10}},"title":"Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States","docAbstract":"Worldwide, about 50% of the population is served by groundwater-sourced drinking water. Numerous groundwater quality assessments have found that geogenic constituents are among the most common contaminants in drinking-water aquifers. Documenting changing groundwater quality is a crucial aspect of water availability assessments. We assess trends and occurrence of geogenic constituent concentrations in groundwater across the continental United States using 3 decades of data from the U.S. Geological Survey’s National Water Quality Network. Thousands of groundwater wells were grouped into agricultural, urban, or domestic supply network types. Although most networks and constituents had no statistically significant change in concentration, many had increasing concentration trends, elevated concentrations, or both. Lithium, sodium, radium, sulfate, and uranium had increasing trends in more than 10% of the study networks. Urban and domestic well networks had increasing lithium and sodium trends more often than agricultural networks. Manganese most commonly increased in domestic well networks; uranium more commonly increased in agricultural and urban networks. Elevated concentration mixtures were widespread, and mixture complexities appeared to increase over time. Our results indicate that more than 2.3 million domestic-well users may be affected by elevated concentrations of one or more geogenic constituents.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsestwater.5c00756","usgsCitation":"Erickson, M.L., Elliott, S.M., Musgrove, M., Hinman, E., Sleckman, M.J., Stackpoole, S.M., Lindsey, B.D., 2026, Decadal trends and occurrence of geogenic constituents and mixtures in groundwater across the continental United States: Environmental Science and Technology - Water, v. 6, no. 2, p. 664-678, https://doi.org/10.1021/acsestwater.5c00756.","productDescription":"15 p.","startPage":"664","endPage":"678","ipdsId":"IP-168374","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":500624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acsestwater.5c00756","text":"Publisher Index 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Landsat Quarterly Calibration and Validation Report—Quarter 2, 2025","docAbstract":"The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.
This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 2 (April–June) of 2025. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.
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U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation Center of Excellence Team assesses and calibrates Landsat remote-sensing data to ensure high-quality data products are publicly available. These data products are used to make informed decisions about natural resources and the environment. This report is part of a series of quarterly reports intended to provide updated observed geometric and radiometric analysis results for Landsats 8 and 9.
","publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":954468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":954469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ashish 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Leibo","contributorId":330182,"corporation":false,"usgs":false,"family":"Ding","given":"Leibo","email":"","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":954485,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Teixeira Pinto, Cibele","contributorId":357558,"corporation":false,"usgs":false,"family":"Teixeira Pinto","given":"Cibele","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":954486,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70275564,"text":"70275564 - 2026 - Contrasting haemosporidian infections in two ecologically distinct wading birds from breeding colonies in the southeastern United States","interactions":[],"lastModifiedDate":"2026-05-04T15:25:29.417088","indexId":"70275564","displayToPublicDate":"2026-01-27T08:18:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting haemosporidian infections in two ecologically distinct wading birds from breeding colonies in the southeastern United States","docAbstract":"Wading birds may serve as ideal hosts for avian hemoparasites, as they are long-lived, undertake extensive movements, form dense breeding colonies, and inhabit water-associated environments that support vectors. Although previous studies have reported parasite species and prevalence in various wading bird species, little is known about their associations with bird behavior and life stage. To address this gap, we examined haemosporidian infections in two ecologically distinct species, white ibis (Eudocimus albus) and tricolored heron (Egretta tricolor), to explore differences in life stage and movement that may explain prevalence differences. We combined blood screening for hemoparasites with satellite tracking data describing birds’ movement patterns. We screened 95 white ibis (67 juveniles and 28 adults or subadults) and 69 tricolored herons (45 juveniles and 24 adults). We detected a single Haemoproteus plataleae lineage in both species, with higher infection prevalence in white ibis (42.1 %) than in tricolored herons (14.5 %). Among white ibis, adults showed a higher prevalence (67.9 %) than juveniles (31.3 %), whereas in tricolored herons, adults had a prevalence of 8.3 % and juveniles 17.8 %. Non-breeding season movement data showed that white ibis used both freshwater and saline habitats across the southeastern United States, which may also serve as habitats for vectors. In contrast, tricolored herons remained mainly along coastal areas, using saline habitats in the southeastern United States and wintering sites in Central America, which may be less favorable for vectors. Overall, white ibis may serve as major reservoirs and sources of reinfection for H. plataleae, whereas tricolored herons may facilitate parasite dispersal between breeding colonies along the coasts of the southeastern United States and wintering areas in Central America. This study presents the first direct comparison of hemoparasite infections in two ecologically distinct wading birds and highlights movement data as key to explaining infection differences, providing a baseline for future studies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101200","usgsCitation":"Zhang, K., Wisely, S.M., Gulick, C.K., and Powell, A., 2026, Contrasting haemosporidian infections in two ecologically distinct wading birds from breeding colonies in the southeastern United States: International Journal for Parasitology: Parasites and Wildlife, v. 29, 101200, 10 p., https://doi.org/10.1016/j.ijppaw.2026.101200.","productDescription":"101200, 10 p.","ipdsId":"IP-183890","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":504172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101200","text":"Publisher Index Page"},{"id":503936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"coastal Alabama","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.35793355923633,\n 30.644925624142573\n ],\n [\n -88.35793355923633,\n 30.184215271711693\n ],\n [\n -87.43408407312708,\n 30.184215271711693\n ],\n [\n -87.43408407312708,\n 30.644925624142573\n ],\n [\n -88.35793355923633,\n 30.644925624142573\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Ke","contributorId":336899,"corporation":false,"usgs":false,"family":"Zhang","given":"Ke","email":"","affiliations":[{"id":80906,"text":"Key Laboratory of Western China’s Environmental Systems (Ministry of Education)","active":true,"usgs":false}],"preferred":false,"id":960898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wisely, Samantha M.","contributorId":371030,"corporation":false,"usgs":false,"family":"Wisely","given":"Samantha","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulick, Chris K.","contributorId":371031,"corporation":false,"usgs":false,"family":"Gulick","given":"Chris","middleInitial":"K.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, Abby N. abby_powell@usgs.gov","contributorId":2534,"corporation":false,"usgs":false,"family":"Powell","given":"Abby N.","email":"abby_powell@usgs.gov","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":960901,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273781,"text":"70273781 - 2026 - Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington","interactions":[],"lastModifiedDate":"2026-01-29T15:05:22.089312","indexId":"70273781","displayToPublicDate":"2026-01-27T07:59:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington","docAbstract":"Fault-related folds and their associated secondary faults play a critical yet often underrecognized role in accommodating strain and generating earthquakes in active fold-and-thrust belts. In the Seattle fault zone (SFZ), Washington, USA, we present new paleoseismic, geomorphic, and geophysical evidence for late Pleistocene and Holocene earthquakes on shallow, south-dipping secondary faults—the Lytle Beach and Vasa Park faults—that lie within the hanging wall of the greater SFZ and are on trend with the primary, blind Blakely Harbor fault. Our data show that these structures have ruptured independently, producing localized uplift and deformation at the surface, with the most recent event (RH2) likely occurring in the early nineteenth century. While a temporal overlap between the late Pleistocene RH1 and VP1 earthquakes raises the possibility of a ≥35 km rupture along the Blakely Harbor fault, structural and temporal evidence instead supports independent rupture on individual faults related to folding. We interpret these faults as bending-moment reverse faults that formed within a synclinal hinge zone of the main fault, reflecting mechanical and kinematic influences of the broader fault system. Combined with prior studies, our findings indicate that faulting related to folding dominates the mode of strain release within the SFZ since the late Pleistocene with more frequent earthquake recurrence (∼350 yr) over the past ∼2500 yr.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B38333.1","usgsCitation":"Angster, S.J., Sherrod, B.L., Pearl, J., Staisch, L.M., Johns, W., and Blakely, R.J., 2026, Latest Pleistocene to 19th-century earthquakes on bending-moment reverse faults of the Seattle fault zone, Washington: GSA Bulletin, 20 p., https://doi.org/10.1130/B38333.1.","productDescription":"20 p.","ipdsId":"IP-169328","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499226,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.25111195305615,\n 48.899230690241126\n ],\n [\n -125.25111195305615,\n 47.269725066793995\n ],\n [\n -121.72996974638943,\n 47.269725066793995\n ],\n [\n -121.72996974638943,\n 48.899230690241126\n ],\n [\n -125.25111195305615,\n 48.899230690241126\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Angster, Stephen J. 0000-0001-9250-8415","orcid":"https://orcid.org/0000-0001-9250-8415","contributorId":225610,"corporation":false,"usgs":true,"family":"Angster","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954768,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearl, Jessie K. 0000-0002-1556-2159","orcid":"https://orcid.org/0000-0002-1556-2159","contributorId":336799,"corporation":false,"usgs":false,"family":"Pearl","given":"Jessie K.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":954769,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954770,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johns, Wes 0000-0003-0476-6364","orcid":"https://orcid.org/0000-0003-0476-6364","contributorId":365774,"corporation":false,"usgs":false,"family":"Johns","given":"Wes","affiliations":[{"id":80905,"text":"Lettis Consultants International, Inc.","active":true,"usgs":false}],"preferred":false,"id":954771,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":954772,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273802,"text":"70273802 - 2026 - A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation","interactions":[],"lastModifiedDate":"2026-02-02T22:05:06.320681","indexId":"70273802","displayToPublicDate":"2026-01-26T15:40:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation","docAbstract":"Restoration outcomes in cold desert ecosystems like sagebrush steppe are affected by weather variability, particularly during the spring, a critical time period for seedling establishment. Seedling emergence phenology is also highly variable among species in these ecosystems. Seed-based restoration outcomes are likely affected by the emergence timing of species in seed mixes relative to periods of favorable soil microclimate in the spring.
This study evaluated the effects of higher spring temperatures in different periods, and species differences in seedling emergence and survival, on restoration outcomes. We also tested the indirect effects of warming treatments on outcomes via abundance of cheatgrass, a competitive, widespread invasive annual sensitive to weather variability.
We used open-sided chambers to implement early- or late-spring warming on plots seeded with a diverse set of species that differed in timing of emergence, across multiple years and variable weather conditions in sagebrush steppe, Oregon, U.S.A.
Spring warming treatment effects varied with yearly weather and species emergence timing relative to the rest of the seeded species. Later-emergence timing was associated with lower emergence rates, particularly with late spring warming, and lower survival with early spring warming, but higher survival without warming or with late spring warming. Seed mix scenarios tuned to warming treatment and yearly weather outperformed early- or late-emergence timing and even proportion mixes. Early spring warming increased invasive annual grass abundance, which was associated with lower survival of seeded species.
Species differences and yearly precipitation affected restoration outcomes under warmer spring temperatures.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.70330","usgsCitation":"Copeland, S.M., Bates, J.D., Davies, K.W., and Germino, M., 2026, A matter of timing: Sagebrush steppe restoration seeding outcomes altered by species responses to warmer spring temperatures and interannual weather variation: Restoration Ecology, https://doi.org/10.1111/rec.70330.","ipdsId":"IP-180060","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70330","text":"Publisher Index Page"},{"id":499419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.74733176283598,\n 43.52203749671284\n ],\n [\n -119.74733176283598,\n 43.46753555220545\n ],\n [\n -119.64071371178852,\n 43.46753555220545\n ],\n [\n -119.64071371178852,\n 43.52203749671284\n ],\n [\n -119.74733176283598,\n 43.52203749671284\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Copeland, Stella M","contributorId":365819,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella","middleInitial":"M","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bates, Jonathan D","contributorId":365820,"corporation":false,"usgs":false,"family":"Bates","given":"Jonathan","middleInitial":"D","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davies, Kirk W","contributorId":365821,"corporation":false,"usgs":false,"family":"Davies","given":"Kirk","middleInitial":"W","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":954874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":218007,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":954875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274268,"text":"70274268 - 2026 - Single receiver target localization in mobile marine acoustic telemetry","interactions":[],"lastModifiedDate":"2026-05-07T15:46:47.76281","indexId":"70274268","displayToPublicDate":"2026-01-26T10:59:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1941,"text":"IEEE Journal of Oceanic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Single receiver target localization in mobile marine acoustic telemetry","docAbstract":"Many marine ecological studies track animal movement and migration using acoustic telemetry, in which animals are implanted with acoustic transmitters broadcasting a unique ID code. Receivers detect and decode these transmissions and provide an estimate of the animal’s location. As transmissions can be detected at distances of hundreds of meters to even several kilometers, localization performed using binary detection information is very coarse. Fine-scale localization can be performed using time difference of arrival systems, but such systems are costlier and require a greater number of receivers. We present a Bayesian method for target localization using only binary detection information collected by a single receiver mounted on a mobile platform. The approach reduces error in the location estimate by considering the distance-dependent probability of detection (detection efficiency curve), which must first be characterized. Stationary receivers are used to infer failed detections. This localization method is then used to inform waypoint selection for the mobile platform, using the second nondominated sorting genetic algorithm considering the tradeoff between the travel distance of the platform and localization error. Simulation results examine the effects of detection efficiency curve characteristics, number of transmissions, and travel distance on the localization error. The proposed method is further supported by experimental results from field trials conducted with an autonomous surface vehicle in Lake Huron.
","language":"English","publisher":"IEEE","doi":"10.1109/JOE.2025.3643787","usgsCitation":"Gaskell, E.M., Funnell, T.R., Holbrook, C.M., Hondorp, D.W., and Tan, X., 2026, Single receiver target localization in mobile marine acoustic telemetry: IEEE Journal of Oceanic Engineering, v. 51, no. 2, p. 1418-1429, https://doi.org/10.1109/JOE.2025.3643787.","productDescription":"12 p.","startPage":"1418","endPage":"1429","ipdsId":"IP-177054","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501460,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501678,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/joe.2025.3643787","text":"Publisher Index Page"}],"volume":"51","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gaskell, Eric M.","contributorId":334194,"corporation":false,"usgs":false,"family":"Gaskell","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Funnell, Tyler Reid 0000-0002-9074-3531","orcid":"https://orcid.org/0000-0002-9074-3531","contributorId":334195,"corporation":false,"usgs":true,"family":"Funnell","given":"Tyler","email":"","middleInitial":"Reid","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Xiaobo","contributorId":354875,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":957483,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273764,"text":"70273764 - 2026 - Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion","interactions":[],"lastModifiedDate":"2026-01-29T14:14:48.478756","indexId":"70273764","displayToPublicDate":"2026-01-26T10:45:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion","docAbstract":"Coastal marsh conversion into ponds, which may be triggered by sea-level rise, is considered an important driver of marsh loss and their valuable ecosystem services. Previous studies have focused on the role of wind waves in driving the expansion of interior marsh ponds, through lateral erosion of marsh edges surrounding the ponds. Here, we propose another mechanism between sea-level rise, increasing marsh inundation, and decreasing marsh soil strength (approximated here as resistance to shear and penetration stress), that further contributes to marsh erosion and pond expansion. Our field measurements in the Blackwater marshes (Maryland, USA), a microtidal marsh system with organic-rich soils, indicate that (1) an increase in tidal inundation time of the marsh surface above a certain threshold (around 50 % of the time) is associated with a substantial loss of strength of the surficial soils; and (2) this decrease in soil strength is strongly related to the amount of belowground vegetation biomass, which is also found to decrease with increasing tidal inundation at pond bottoms, where the soil has a very low strength. Our finding of decreasing marsh soil strength along a spatial gradient of increasing marsh inundation coincides with a gradient of increasing historical marsh loss by pond expansion, suggesting that feedbacks between sea-level rise, increasing marsh inundation and decreasing marsh soil strength combine to amplify marsh erosion and pond expansion.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-23-751-2026","usgsCitation":"Huyzentruyt, M., Schepers, L., Kirwan, M.L., Guntenspergen, G., and Temmerman, S., 2026, Sea-level rise in a coastal marsh: Linking increasing tidal inundation, decreasing soil strength and increasing pond expansion: Biogeosciences, v. 23, no. 2, p. 751-766, https://doi.org/10.5194/bg-23-751-2026.","productDescription":"16 p.","startPage":"751","endPage":"766","ipdsId":"IP-179390","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499293,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-23-751-2026","text":"Publisher Index Page"},{"id":499181,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.26417331827581,\n 38.49888603967861\n ],\n [\n -76.26417331827581,\n 38.327906525093084\n ],\n [\n -75.98871603313728,\n 38.327906525093084\n ],\n [\n -75.98871603313728,\n 38.49888603967861\n ],\n [\n -76.26417331827581,\n 38.49888603967861\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Huyzentruyt, Mona","contributorId":365696,"corporation":false,"usgs":false,"family":"Huyzentruyt","given":"Mona","affiliations":[{"id":64273,"text":"University of Antwerp","active":true,"usgs":false}],"preferred":false,"id":954633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":954634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":954635,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guntenspergen, Glenn 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":220096,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954636,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":954637,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274260,"text":"70274260 - 2026 - Global framework for communication of biological invasion risks","interactions":[],"lastModifiedDate":"2026-03-24T14:36:19.13797","indexId":"70274260","displayToPublicDate":"2026-01-26T09:33:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Global framework for communication of biological invasion risks","docAbstract":"Biological invasions, driven by the spread of non-native species, have become a critical global issue because of their far-reaching ecological and socioeconomic impacts. Effective communication of the risks of biological invasions is essential for implementing robust policy and legislation and gaining public support for conservation efforts. However, current policies often suffer from fragmentation and ineffectiveness, largely due to inadequate risk communication and complex multilevel governance. To address this challenge, we develop a global framework designed to enhance clearer communication about biological invasion risks. The framework contextualizes key terms across three domains in invasion science: species invasiveness, risk analysis, and decision support tools. Using both diffusion-of-English and ecology-of-language paradigms, and following a three-step process involving preliminary consensus, AI querying, and ground-truthing with final consensus, we validate the framework in 70 non-English languages which, together with English, have official status in at least one country and collectively cover all 195 countries worldwide. Our findings reveal that while terminology for risk analysis is well established, terminology for species invasiveness and, especially, for decision support tools remains underdeveloped in many languages, hindering effective communication and policy implementation. Our framework underscores the importance of cultural and political neutrality. By promoting clearer risk communication among scientists, policymakers, and the public globally, we aim to reduce policy fragmentation and foster enhanced collaboration in risk mitigation. We recommend expanding multilingual decision support tools to include the full risk analysis process: risk identification, risk assessment, and risk management. This will support intergovernmental mitigation efforts and promote a unified global response to biological invasions.
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The Bay-Delta covers more than 1,600 square miles and drains a watershed of more than 75,000 square miles, which is greater than 40 percent of California. The region surrounding the Bay-Delta is home to about 10 million people, and its habitats (fig. 1) support more than 800 plant and animal species. The waterways of the Bay-Delta are the central hub of California’s extensive freshwater delivery system, supplying water to more than 27 million Californians and 4 million acres of farmland in the Central Valley.
The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior, providing a broad range of Earth, water, biological, and mapping data and expertise to inform natural resource management across the country. This fact sheet focuses on research conducted by the USGS in the Bay-Delta region, mostly within the past 5 years. The fact sheet is organized across five major themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. In each of these areas, the USGS works closely with Federal, State, and local agencies; academia; and non-governmental organizations to provide objective, evidence-based science. The data and knowledge gained from USGS research and monitoring are publicly available and are routinely used by agencies, including the U.S. Bureau of Reclamation, U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, California Department of Water Resources, California Department of Fish and Wildlife, California State Water Resources Control Board, Delta Stewardship Council, and many additional organizations and stakeholders to inform management of the Bay-Delta region and its resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253058","usgsCitation":"Drexler, J.Z., and Weltzin, J.F., 2026, Recent scientific contributions by the U.S. Geological Survey in the San Francisco Bay and Sacramento–San Joaquin Delta Estuary: U.S. Geological Survey Fact Sheet 2025–3058, 6 p., https://doi.org/10.3133/fs20253058.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-177659","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499139,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119170.htm","linkFileType":{"id":5,"text":"html"}},{"id":498954,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3058 XML"},{"id":498953,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253058/full","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3058 HTML"},{"id":498952,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3058/fs20253058.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3058 PDF"},{"id":498957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3058/coverthb.jpg"},{"id":498955,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3058/images"}],"country":"United States","state":"California","otherGeospatial":"Sacramento–San Joaquin Delta Estuary, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.02008172785412,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 38.8200776149005\n ],\n [\n -122.56776314124848,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 37.19924956798722\n ],\n [\n -121.02008172785412,\n 38.8200776149005\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
The U.S. Geological Survey (USGS) is the primary science agency of the U.S. Department of the Interior. In the San Francisco Bay and Sacramento–San Joaquin Delta Estuary (Bay-Delta) of California, the USGS plays a unique role in providing scientific leadership because of its broad research and monitoring capabilities, innovative methodologies for data collection and analysis, and dedication to objective and credible science. This fact sheet provides a summary of recent USGS projects across the Bay-Delta organized under five major research themes: water flow and water quality, fish and wildlife, wetland restoration, invasive species, and hazards. A key component of USGS research is close collaboration with State and Federal partners, academia, and non-governmental organizations to accomplish its goals. The research and partnerships described in this fact sheet are critical to the management of the complex natural resource issues across the Bay-Delta region of California.
","publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weltzin, Jake 0000-0001-8641-6645","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":365438,"corporation":false,"usgs":false,"family":"Weltzin","given":"Jake","affiliations":[{"id":87138,"text":"formerly Senior Science Advisor, EMA, USGS, now retired.","active":true,"usgs":false}],"preferred":false,"id":954312,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273775,"text":"70273775 - 2026 - Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","interactions":[],"lastModifiedDate":"2026-03-23T14:45:51.612152","indexId":"70273775","displayToPublicDate":"2026-01-26T07:49:55","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}},"displayTitle":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","title":"Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands","docAbstract":"The distribution and abundance of Phragmites in the Great Lakes coastal zone has expanded in part due to its unique ventilation physiology and its ability to take advantage of changes in lake levels over the past several decades. During an extended period of low lake levels in the early 2000s, Phragmites expanded into vast shallow water areas as lake bottoms were exposed. Many of those populations were able to persist when lake levels rose several years later. Here, we investigate a management strategy, known as cut-to-drown, that takes advantage of elevated water levels to effectively control Phragmites by cutting stems underwater, thereby drowning the plant and depleting its stored resources. We tested the impacts of cut timing and frequency on the effectiveness of the cut-to-drown strategy through a multi-year manipulative field study. After two seasons of treatments, we found a 92–99 % reduction in stem density, depending on cut timing. Carbohydrate reserves in rhizomes declined 75–92 %, such that rhizome viability was reduced by 73–100 %, depending on cut timing. We found that cutting continuously (every 2–3 weeks) throughout two growing seasons was the most effective way to implement cut-to-drown but provide evidence that less frequent cutting could produce similar results. Our study provides important evidence to inform best management practices for cut-to-drown. Particularly as lake level fluctuations become more frequent and extreme in the future, cut-to-drown could serve as a useful tool for limiting Phragmites’ ability to persist in high water environments.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102736","usgsCitation":"Bickford, W.A., Schaefer, K.A., Widin, S.L., and Kowalski, K., 2026, Multi-year cut-to-drown management limits Phragmites australis growth, belowground resources, and rhizome viability in Great Lakes wetlands: Journal of Great Lakes Research, v. 52, no. 2, 102736, 10 p., https://doi.org/10.1016/j.jglr.2025.102736.","productDescription":"102736, 10 p.","ipdsId":"IP-179652","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499164,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499322,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102736","text":"Publisher Index Page"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Lake Huron","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.09644325245834,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 41.28305521847017\n ],\n [\n -81.75470105903604,\n 44.503344381110054\n ],\n [\n -84.09644325245834,\n 44.503344381110054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bickford, Wesley A. 0000-0001-7612-1325 wbickford@usgs.gov","orcid":"https://orcid.org/0000-0001-7612-1325","contributorId":5687,"corporation":false,"usgs":true,"family":"Bickford","given":"Wesley","email":"wbickford@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaefer, Kaira A. 0000-0002-6793-6095","orcid":"https://orcid.org/0000-0002-6793-6095","contributorId":359280,"corporation":false,"usgs":false,"family":"Schaefer","given":"Kaira","middleInitial":"A.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":954748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widin, Spenser L. 0000-0002-6470-4061","orcid":"https://orcid.org/0000-0002-6470-4061","contributorId":303341,"corporation":false,"usgs":true,"family":"Widin","given":"Spenser","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":954750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273873,"text":"70273873 - 2026 - Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python","interactions":[],"lastModifiedDate":"2026-03-23T14:50:21.582142","indexId":"70273873","displayToPublicDate":"2026-01-25T09:06:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python","docAbstract":"Regulatory agencies in humid temperate environments rely on timely evaluations of streamflow depletion and drawdown to protect aquatic ecosystems and existing water users. Numerical models offer detailed insights, but their complexity and time demands often preclude their practical use in rapid decision-making. We present pycap-dss, an open-source Python package that implements a suite of analytical solutions for estimating streamflow depletion and drawdown. The tool supports superposition of multiple wells and time-varying pumping, enabling cumulative impact assessments in situations with multiple wells and streams. The software is modular and extensible, allowing users to interchange solutions or add new analytical methods. A YAML-based configuration supports batch processing of multiple wells, and an optional AnalysisProject class facilitates integration with regulatory workflows. Rigorous unit and regression testing ensures computational reliability, and continuous integration supports ongoing development. We demonstrate deterministic examples of drawdown where multiple solutions are readily compared and streamflow depletion with multiple wells in the Central Sands region of Wisconsin. We also show the value of Monte Carlo analyses of streamflow depletion in the same Central Sands example, leveraging computational efficiency to evaluate the uncertainty of individual and cumulative streamflow depletion calculations from over 200 high-capacity wells.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.70046","usgsCitation":"Fienen, M., Pruitt, A., and Reeves, H.W., 2026, Teach me how to pycap: A high-capacity well decision support tool using analytical solutions in Python: Groundwater, v. 64, no. 2, p. 223-234, https://doi.org/10.1111/gwat.70046.","productDescription":"12 p.","startPage":"223","endPage":"234","ipdsId":"IP-183720","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":499748,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499946,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.70046","text":"Publisher Index Page"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Tomorrow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.67725263192825,\n 44.6879674210181\n ],\n [\n -89.67725263192825,\n 44.15565808301017\n ],\n [\n -89.16563204911922,\n 44.15565808301017\n ],\n [\n -89.16563204911922,\n 44.6879674210181\n ],\n [\n -89.67725263192825,\n 44.6879674210181\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"64","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pruitt, Aaron","contributorId":214451,"corporation":false,"usgs":false,"family":"Pruitt","given":"Aaron","affiliations":[],"preferred":false,"id":955344,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955345,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274634,"text":"70274634 - 2026 - Experimental lure design reveals the best attractants for increasing detection of multiple mesocarnivores","interactions":[],"lastModifiedDate":"2026-05-19T15:37:05.433993","indexId":"70274634","displayToPublicDate":"2026-01-25T08:49:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental lure design reveals the best attractants for increasing detection of multiple mesocarnivores","docAbstract":"Many mesocarnivores have low detection rates that hinder practitioners' abilities to implement effective monitoring strategies. Using olfactory attractants (i.e. lures) may increase detection rates, but variation in effects among species is not well understood. Thus, investigating factors influencing detection of mesocarnivores, can inform and improve monitoring efforts. We evaluated the effects of lures and environmental covariates on the detection of plains spotted skunks Spilogale interrupta, striped skunks Mephitis mephitis, northern raccoons Procyon lotor, gray foxes Urocyon cinereoargenteus, coyotes Canis latrans, bobcats Lynx rufus and Virginia opossums Didelphis virginiana. We conducted surveys during January–May 2023 in southeast Oklahoma using motion-triggered cameras at randomly selected sites. We surveyed sites using a 4-camera cluster and leave-one-out lure design, where 3 cameras were randomly assigned 1 of 4 lures (i.e. skunk-based lure, fatty acid tablets, sweet lure or sardines) and 1 camera was a control (i.e. no lure). We analyzed species-specific detection data within an occupancy framework to determine the influence of lure combinations and environmental covariates (i.e. temperature, precipitation and moon illumination) on site-level detection patterns for each species. When lures influenced detection, we assessed species-specific preference among lures (and the control) within sites by comparing camera-level independent detections with Kruskal–Wallis and Dunn's tests at sites where the species was detected. The effect of lures varied among species; lure combinations influenced site-specific daily detection of plains spotted skunks, striped skunks, gray foxes, raccoons and bobcats, but did not affect detection of coyotes or opossums. One environmental covariate influenced detection of striped skunks (i.e. moon illumination), bobcats (i.e. temperature), and gray foxes (i.e. precipitation). Within sites, lure preference varied among species. Spotted skunks, gray foxes and raccoons preferred sardines whereas striped skunks preferred the skunk-based lure. Identifying lure preferences and effects of environmental factors can help optimize sampling and improve mesocarnivore monitoring efforts.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/wlb3.01579","usgsCitation":"Brosend, D.N., Moeller, A.K., and Lonsinger, R.C., 2026, Experimental lure design reveals the best attractants for increasing detection of multiple mesocarnivores: Wildlife Biology, v. 2026, no. 3, e01579, 13 p., https://doi.org/10.1002/wlb3.01579.","productDescription":"e01579, 13 p.","ipdsId":"IP-180057","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502007,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502085,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wlb3.01579","text":"Publisher Index Page"}],"country":"United States","state":"Oklahoma","county":"LeFlore County","otherGeospatial":"Ouachita National Forest, Wister Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.89305161506785,\n 34.979300535069825\n ],\n [\n -94.89305161506785,\n 34.85490787523719\n ],\n [\n -94.6470536880039,\n 34.85490787523719\n ],\n [\n -94.6470536880039,\n 34.979300535069825\n ],\n [\n -94.89305161506785,\n 34.979300535069825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2026","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Brosend, Danielle N.","contributorId":369128,"corporation":false,"usgs":false,"family":"Brosend","given":"Danielle","middleInitial":"N.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":958501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moeller, Anna K.","contributorId":369129,"corporation":false,"usgs":false,"family":"Moeller","given":"Anna","middleInitial":"K.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":958502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273948,"text":"70273948 - 2026 - Modeling carbon fluxes in tidal forested wetlands in the Mississippi river deltaic plain under various hydrologic conditions: Implications for river diversions","interactions":[],"lastModifiedDate":"2026-03-02T17:49:22.623453","indexId":"70273948","displayToPublicDate":"2026-01-24T09:23:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3751,"text":"Wetlands Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling carbon fluxes in tidal forested wetlands in the Mississippi river deltaic plain under various hydrologic conditions: Implications for river diversions","docAbstract":"Our understanding of the impacts of climate change, sea-level rise (SLR), and freshwater management on the magnitude and variability of carbon fluxes in tidal forested wetlands remains limited. In this study, we applied a process-driven wetland biogeochemistry model, Wetland Carbon Assessment Tool—DeNitrification-DeComposition (WCAT-DNDC) model to explore responses of carbon fluxes in tidal swamp forests to climate change-induced alterations in hydrologic conditions and to predict impacts of planned reintroduction of river flows. We selected twelve sites in three habitats (throughput, relict, degraded) inside the Lake Maurepas swamp forests (Louisiana, USA) to represent various hydrological and salinity regimes. Environmental scenarios included dry, average, and wet conditions, SLR (low and high), and a Mississippi River (MR) diversion. Simulation results showed that the responses of net ecosystem exchange (NEE), net primary productivity (NPP), ecosystem respiration (ER), methane (CH4) and nitrous oxide (N2O) emissions in the Lake Maurepas swamp forests varied substantially among sites. However, the overall net carbon uptake capacity of the Lake Maurepas swamp forests was high (NEE: − 1143 to − 1650 g C m−2 yr−1), suggesting that Lake Maurepas swamp forests are large carbon sinks. The high net carbon uptake capacity could be significantly affected by climate change induced drought, flooding, and SLR with the bi-directional changes (increase or decrease) depending on the direction and magnitude of the hydrologic regime changes. The response of the net carbon uptake capacity to MR diversion is also bi-directional and site-specific, but enhancement of the capacity of NEE of up to − 1957 g C m2 yr−1 is possible, implying that MR diversion into the swamp forests could be beneficial in the context of carbon cycling and carbon sequestration.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11273-026-10111-5","usgsCitation":"Wang, H., Krauss, K.W., Shaffer, G.P., Patton, B., Kroes, D., Noe, G.E., Dai, Z., Dettwiller, L., and Trettin, C.C., 2026, Modeling carbon fluxes in tidal forested wetlands in the Mississippi river deltaic plain under various hydrologic conditions: Implications for river diversions: Wetlands Ecology and Management, v. 34, no. 1, 11, 27 p., https://doi.org/10.1007/s11273-026-10111-5.","productDescription":"11, 27 p.","ipdsId":"IP-180681","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":500188,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500214,"rank":2,"type":{"id":42,"text":"Open Access USGS Document"},"url":"https://pubs.usgs.gov/publication/70273948/full"},{"id":500215,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ja/70273948/70273948.XML"},{"id":500683,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ja/70273948/images"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lake Maurepas swamp forests","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.21451630425345,\n 30.450162758345343\n ],\n [\n -90.90340771654913,\n 30.450162758345343\n ],\n [\n -90.90340771654913,\n 29.978620193311116\n ],\n [\n -90.21451630425345,\n 29.978620193311116\n ],\n [\n -90.21451630425345,\n 30.450162758345343\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":222377,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":955890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krauss, Ken W.","contributorId":366426,"corporation":false,"usgs":false,"family":"Krauss","given":"Ken","middleInitial":"W.","affiliations":[{"id":12699,"text":"Louisiana Universities Marine Consortium","active":true,"usgs":false}],"preferred":false,"id":955891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaffer, Gary P.","contributorId":366427,"corporation":false,"usgs":false,"family":"Shaffer","given":"Gary","middleInitial":"P.","affiliations":[{"id":28058,"text":"Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":955892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":955893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroes, Daniel 0000-0001-9104-9077 dkroes@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-9077","contributorId":3830,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"dkroes@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":955894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":955895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dai, Zhaohua 0000-0002-0941-8345","orcid":"https://orcid.org/0000-0002-0941-8345","contributorId":290409,"corporation":false,"usgs":false,"family":"Dai","given":"Zhaohua","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":955896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dettwiller, Lindsey","contributorId":360880,"corporation":false,"usgs":false,"family":"Dettwiller","given":"Lindsey","affiliations":[{"id":28058,"text":"Southeastern Louisiana University","active":true,"usgs":false}],"preferred":false,"id":955897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Trettin, Carl C.","contributorId":366432,"corporation":false,"usgs":false,"family":"Trettin","given":"Carl","middleInitial":"C.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":955898,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273779,"text":"70273779 - 2026 - Prioritizing resource protection and understanding potential susceptibility of springs to surficial changes in a low-temperature geothermal system","interactions":[],"lastModifiedDate":"2026-01-29T14:54:24.411943","indexId":"70273779","displayToPublicDate":"2026-01-24T08:46:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing resource protection and understanding potential susceptibility of springs to surficial changes in a low-temperature geothermal system","docAbstract":"Geothermal systems are vulnerable to changes in water budget and composition, requiring science-based management. This study uses a dataset of spring water temperatures, time series of groundwater residence time tracers (tritium and carbon-14), and stable isotopes of water to understand geothermal flow in a low-temperature geothermal system in north west Colorado, United States (Steamboat Springs). The geothermal system is bisected by the Yampa River, necessitating a stream mass balance approach to quantify total discharge. Time series analysis of water temperature data provides a ranked list of features more susceptible to surficial changes, which is corroborated using time series of tritium which indicate spatially distinct patterns of mixing between modern and pre-modern groundwater. All springs contain a portion of pre-modern groundwater that is thousands to tens of thousands of years old, a period coinciding with melting of extensive Pleistocene glaciers that was likely one of the recharge sources to the geothermal system. Stream mass balance indicates that greater than 80% of the total geothermal discharge is derived from diffuse or small springs, highlighting the extensive nature of the geothermal outflow zone and the association with local geologic structures. This study provides baseline data to support management of the Steamboat Springs geothermal system and indicates the utility of these approaches in developing science-based geothermal management.
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