The advent of generative AI exemplified by large language models (LLMs) opens new ways to represent and compute geographic information and transcends the process of geographic knowledge production, driving geographic information systems (GIS) towards autonomous GIS. Leveraging LLMs as the decision core, autonomous GIS can independently generate and execute geoprocessing workflows to perform spatial analysis. In this vision paper, we further elaborate on the concept of autonomous GIS and present a conceptual framework that defines its five autonomous goals, five levels of autonomy, five core functions, and three operational scales. We demonstrate how autonomous GIS could perform geospatial data retrieval, spatial analysis, and map making with four proof-of-concept GIS agents. We conclude by identifying critical challenges and future research directions, including fine-tuning and self-growing decision-cores, autonomous modelling, and examining the societal and practical implications of autonomous GIS. By establishing the groundwork for a paradigm shift in GIScience, this paper envisions a future where GIS moves beyond traditional workflows to autonomously reason, derive, innovate, and advance geospatial solutions to pressing global challenges. Meanwhile, we emphasize that as we design and deploy increasingly intelligent geospatial systems, we carry a responsibility to ensure they are developed in socially responsible ways, serve the public good, and support the continued value of human geographic insight in an AI-augmented future.
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potential enrichment of various elements is challenging. Economic deposits of aluminium, iron, copper, nickel, cobalt, niobium, and rare earth elements (REEs) form in this manner. Determining the age of formation can provide key information for exploration of similar deposits as well as to better constrain paleoclimatic conditions. This study describes our effort to constrain the age of formation of the Mount Weld deposit, a world-class carbonatite-derived REE laterite deposit. We utilize multiple geochronological techniques on different minerals. The oldest dates, ranging from ca. 100 to 50 Ma, were from laser ablation ICPMS, Lu-Hf dating of churchite, a heavy REE phosphate mineral formed by mineral saturation in groundwater. Growth bands on individual minerals show a younging outwards. 40Ar/39Ar geochronology of cryptomelane, a potassium-bearing manganese oxide mineral, yielded ages ranging from ca. 40 to 26 Ma. Similarly, (U–Th)/He geochronology of goethite yielded ages from ca. 45 to 19 Ma.
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Mine waste is a potential source of these essential commodities. We compiled a geospatial database of publicly available data of the largest non-fuel mine waste features (>200,000 m2 in areal extent) in the Four Corners states of the United States, where most of those features are from porphyry Cu deposits. The combined volume of those large porphyry Cu mine waste features is approximately 17 cubic kilometers, 60% of which is ore-related material such as tailings. Using publicly available data on density, grade, and previous recovery values, we estimate the contained endowments of Ag, As, Au, Bi, Cu, Mo, Re, S, Sb, Se, Te, and W. These estimates indicate endowments within ore-related mine wastes are collectively comparable to endowments of giant to supergiant deposits. If fully recovered, these commodities could meet current global demand from less than 1 year (Sb) to more than 200 years (Re), underscoring the enormous untapped resource potential of mine waste.
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The measured temporal decay in amplitudes agrees with predictions of the rate-and-state framework and indicates shaking amplitudes are proportional to the velocity of afterslip. Our ground motion-based statistical framework provides a basis to forecast shaking intensity in the minutes to hours after a large earthquake.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL116673","usgsCitation":"Clements, T., Cochran, E.S., Minson, S.E., van der Elst, N., Yoon, C., Baltay Sundstrom, A.S., and Page, M.T., 2025, Mechanics and statistics of postseismic shaking: Geophysical Research Letters, v. 52, no. 18, e2025GL116673, 10 p., https://doi.org/10.1029/2025GL116673.","productDescription":"e2025GL116673, 10 p.","ipdsId":"IP-178501","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl116673","text":"Publisher Index Page"},{"id":496199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.77644428124952,\n 35.68978179286292\n ],\n [\n -117.77644428124952,\n 35.576708329188776\n ],\n [\n -117.56485033512283,\n 35.576708329188776\n ],\n [\n -117.56485033512283,\n 35.68978179286292\n ],\n [\n -117.77644428124952,\n 35.68978179286292\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Clements, Timothy Hugh 0000-0001-6632-1796","orcid":"https://orcid.org/0000-0001-6632-1796","contributorId":350753,"corporation":false,"usgs":true,"family":"Clements","given":"Timothy Hugh","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":949493,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271704,"text":"70271704 - 2025 - Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT","interactions":[],"lastModifiedDate":"2025-09-19T13:42:47.938711","indexId":"70271704","displayToPublicDate":"2025-09-12T08:24:03","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT","docAbstract":"The Elkhorn district in southwestern Montana is known for past production of high-grade base and precious metals from skarn and carbonate replacement deposits. The district also hosts a porphyry Cu-Mo deposit. A radiometric survey flown over the district and surrounds provides maps of surficial concentrations of potassium, thorium, and uranium. Handheld gamma ray spectrometer measurements on altered and unaltered rocks in the district and surrounding region provide a means to ground truth the airborne data. We demonstrate that the airborne and ground-based measurements show similar map patterns. We calculate ratios of the radioelement concentrations and present a potassium enhancement map that combines potassium and ratios of potassium to thorium and uranium. The results highlight the rocks previously mapped as having K-feldspar-biotite and quartz-sericite alteration assemblages in the Elkhorn district and map additional hydrothermal systems in the region, including known alteration in the Radersburg district. The data enhancement techniques can be used as a screening tool for mapping additional porphyry copper systems.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Anderson, E., Scarberry, K., Eastman, K., Funk, J.A., Magnin, B.P., Clevenger, J., Dilles, J., Zimmerman, J.L., Attia, S., and Cosca, M., 2025, Airborne radiometric data map alteration of porphyry copper systems in the Elkhorn district, MT, 18th SGA Biennial Meeting, v. 3, Golden, CO, August 3-7, 2025, p. 1200-1203.","productDescription":"4 p.","startPage":"1200","endPage":"1203","ipdsId":"IP-177511","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495774,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings#c345"},{"id":495778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Elkhorn district","volume":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eric D. 0000-0002-0138-6166 ericanderson@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":172766,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric","email":"ericanderson@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scarberry, Kaleb","contributorId":361605,"corporation":false,"usgs":false,"family":"Scarberry","given":"Kaleb","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":949069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eastman, Kyle","contributorId":361606,"corporation":false,"usgs":false,"family":"Eastman","given":"Kyle","affiliations":[{"id":36941,"text":"Montana Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":949070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Funk, Jonathan Andrew 0000-0001-7897-687X","orcid":"https://orcid.org/0000-0001-7897-687X","contributorId":297164,"corporation":false,"usgs":true,"family":"Funk","given":"Jonathan","email":"","middleInitial":"Andrew","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnin, Benjamin Patrick 0000-0001-9951-4404","orcid":"https://orcid.org/0000-0001-9951-4404","contributorId":300679,"corporation":false,"usgs":true,"family":"Magnin","given":"Benjamin","email":"","middleInitial":"Patrick","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clevenger, Joseph","contributorId":361607,"corporation":false,"usgs":false,"family":"Clevenger","given":"Joseph","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dilles, John","contributorId":361675,"corporation":false,"usgs":false,"family":"Dilles","given":"John","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949133,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zimmerman, Jarred L. 0000-0003-3423-7711","orcid":"https://orcid.org/0000-0003-3423-7711","contributorId":359591,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Jarred","middleInitial":"L.","affiliations":[{"id":85873,"text":"Montana Buteau of Mines and Geology, Montana Technological University, Butte, Montana, USA","active":true,"usgs":false}],"preferred":false,"id":949134,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Attia, Snir 0000-0001-8582-8197","orcid":"https://orcid.org/0000-0001-8582-8197","contributorId":344165,"corporation":false,"usgs":true,"family":"Attia","given":"Snir","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949135,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cosca, Michael 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":33043,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949136,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271685,"text":"70271685 - 2025 - Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA","interactions":[],"lastModifiedDate":"2025-09-19T15:31:40.735379","indexId":"70271685","displayToPublicDate":"2025-09-12T08:12:57","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA","docAbstract":"The Oligocene Questa porphyry Mo deposit, located in New Mexico, USA, is a well-characterized system that formed over 400 kyr, punctuating the 8 Myr formation of the Questa-Latir batholith. Detailed sampling of the intrusions and minerals associated with magmatichydrothermal mineralization, as well as bookending barren intrusions, allows for examination of the Mo isotope record of the deposit and its host batholith. Through this established chronologic framework, such data can yield insights into the metallogenesis of deposit formation and long-term magma genesis evolution for upper crustal magmatism. The Mo isotopic compositions of barren intrusions yield a younging trend towards lighter δ98Mo. However, intrusions associated with Mo deposit formation yield heavier δ98Mo relative to barren magmatism, by up to 2.0‰. This indicates that they were affected by an isotopically heavy and Mo-rich fluid. The in-situ data from molybdenite covers the range observed in mineralized bulk rocks. However, individual samples consistently yield Mo isotopic variations of 0.4‰ to 0.5‰. The consistency of the δ98Mo variation in in-situ analyses of molybdenite within hand samples and individual mineral grains is likely the result of MoS2 crystallization in a closed system and reflects an almost complete precipitation of Mo.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits","usgsCitation":"Gaynor, S.P., Greber, N.D., Ahmad, Q., Künzi, P., Horn, I., and Weyer, S., 2025, Tracing fluid evolution during batholith and deposit formation: In-situ and bulk rock Mo isotopes from the Questa porphyry Mo deposit, New Mexico, USA, 18th SGA Biennial Meeting, v. 2, Golden, CO, August 3-7, 2025, p. 447-450.","productDescription":"4 p.","startPage":"447","endPage":"450","ipdsId":"IP-175984","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495777,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495764,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","otherGeospatial":"Questa porphyry Mo deposit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.625,\n 36.875\n ],\n [\n -105.625,\n 36.5\n ],\n [\n -105.375,\n 36.5\n ],\n [\n -105.375,\n 36.875\n ],\n [\n -105.625,\n 36.875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Greber, Nicolas D.","contributorId":361581,"corporation":false,"usgs":false,"family":"Greber","given":"Nicolas","middleInitial":"D.","affiliations":[{"id":86311,"text":"Muséum d’historie naturelle de Genève","active":true,"usgs":false}],"preferred":false,"id":949019,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahmad, Qasid","contributorId":361582,"corporation":false,"usgs":false,"family":"Ahmad","given":"Qasid","affiliations":[{"id":86312,"text":"Université de Lorraine - CNRS","active":true,"usgs":false}],"preferred":false,"id":949020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Künzi, Pia","contributorId":361583,"corporation":false,"usgs":false,"family":"Künzi","given":"Pia","affiliations":[{"id":48404,"text":"Universität Bern","active":true,"usgs":false}],"preferred":false,"id":949021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horn, Ingo","contributorId":361584,"corporation":false,"usgs":false,"family":"Horn","given":"Ingo","affiliations":[{"id":86313,"text":"Leibniz University Hannover","active":true,"usgs":false}],"preferred":false,"id":949022,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weyer, Stefan","contributorId":195629,"corporation":false,"usgs":false,"family":"Weyer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":949023,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271911,"text":"70271911 - 2025 - Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake","interactions":[],"lastModifiedDate":"2025-09-24T15:13:40.752725","indexId":"70271911","displayToPublicDate":"2025-09-12T08:05:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake","docAbstract":"The challenges and the importance of preserving legacy instrumental records of earthquakes are now well-recognized (e.g., Richards & Hellweg, 2020, https://doi.org/10.1785/0220200053). Seismologists may not be aware of parallel challenges and opportunities with legacy macroseismic data for earthquakes in the United States. For much of the 20th century, macroseismic data were collected by a series of U.S. government agencies using a standard questionnaire distributed on postcards. Published summaries of postcards provide macroseismic data akin to modern Did You Feel It? questionnaire responses. In this paper we focus on the M 6.5 Fickle Hill, California earthquake, on 21 December 1954 (Hellweg et al., 2025) as a proof-of-concept, illustrating the potential of what we dub Did They Feel It? (DTFI) data to improve our understanding of significant 20th century U.S. earthquakes for which instrumental data are sparse. Legacy macroseismic data interpreted following modern conventions can potentially constrain traditional ShakeMaps at a level of detail and accuracy that in some respects rival maps for modern earthquakes. The updated ShakeMap for the 1954 Fickle Hill earthquake, also drawing from recently published media and first-person accounts, supports the location, depth, and stress drop value estimated from available instrumental data (Hellweg et al., 2025).
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EA004437","usgsCitation":"Hough, S.E., Dengler, L., McPherson, R., Hagos, L., and Hellweg, M., 2025, Did they feel it? Legacy maroseismic data illuminates an engimatic 20th century earthquake: Earth and Space Science, v. 12, no. 9, e2025EA004437, 45 p., https://doi.org/10.1029/2025EA004437.","productDescription":"e2025EA004437, 45 p.","ipdsId":"IP-178554","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496154,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ea004437","text":"Publisher Index Page"},{"id":496011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.36941833393237,\n 41.366992125273725\n ],\n [\n -124.36941833393237,\n 39.97380581515134\n ],\n [\n -123.19324471908419,\n 39.97380581515134\n ],\n [\n -123.19324471908419,\n 41.366992125273725\n ],\n [\n -124.36941833393237,\n 41.366992125273725\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dengler, Lori","contributorId":197374,"corporation":false,"usgs":false,"family":"Dengler","given":"Lori","affiliations":[],"preferred":false,"id":949342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPherson, Robert","contributorId":336975,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":949343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagos, Lijam","contributorId":300811,"corporation":false,"usgs":false,"family":"Hagos","given":"Lijam","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":949344,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hellweg, Margaret","contributorId":360602,"corporation":false,"usgs":false,"family":"Hellweg","given":"Margaret","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":949345,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271754,"text":"70271754 - 2025 - Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration","interactions":[],"lastModifiedDate":"2025-09-23T14:57:15.409496","indexId":"70271754","displayToPublicDate":"2025-09-12T07:51:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Shear surface undulations modulate clayey gouge strength and contribute to divergent landslide acceleration","docAbstract":"Deep-sea corals and sponges (DSCS) are signature taxa of deep-water habitats, but ecological mechanisms that drive their geographic distributions can be difficult to uncover due to the challenges of surveying deep-water ecosystems and limited oceanographic data. A comparison of species distribution models was made for three DSCS (Antipathes dendochristos, Plumarella longispina, and an unidentified sponge morphotype known as Porifera #2), two of which are associated with young-of-the-year and adult rockfish taxa (Sebastes spp.). Models were built using generalized additive models (GAMs) that accounted for spatial autocorrelation. These models were compared to Maxent models, a commonly used method. All models utilized bathymetrically derived variables (including depth, slope, and Bathymetric Position Index) and output from a coupled physical-biogeochemical ocean model (including current direction and magnitude, food abundance, and dissolved oxygen). Direction of benthic ocean currents played an important role in predictions, pointing to large-scale ecological processes that may determine presence of DSCS. GAMs outperformed Maxent models and predicted more ecologically interpretable patterns. Additionally we quantified the predicted amount of suitable habitat that is currently located within some protected areas of the Southern California Bight and show that many hot spots occur outside protected areas. Given the importance of DSCS for multiple demersal fish species of commercial or conservation concerns, this research provides valuable information that natural resource managers can use as a tool in the Southern California Bight.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2025.105546","usgsCitation":"Kreidler, N., Buchheister, A., Huff, D.D., Fiechter, J., Yoklavich, M., and Henderson, M., 2025, A comparison of deep-sea coral and sponge species distribution models and the impact of ocean currents in the Southern California Bight: Deep Sea Research Part II: Topical Studies in Oceanography, v. 224, 105546, 20 p., https://doi.org/10.1016/j.dsr2.2025.105546.","productDescription":"105546, 20 p.","ipdsId":"IP-160765","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern California Bight","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.77195451682024,\n 34.63450539301438\n ],\n [\n -120.71062295847764,\n 34.067353050853896\n ],\n [\n -116.95296762825086,\n 32.64962732243558\n ],\n [\n -117.36447279653606,\n 33.96407055399892\n ],\n [\n -120.77195451682024,\n 34.63450539301438\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"224","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreidler, Nissa","contributorId":278592,"corporation":false,"usgs":false,"family":"Kreidler","given":"Nissa","email":"","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":952055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchheister, Andre","contributorId":363827,"corporation":false,"usgs":false,"family":"Buchheister","given":"Andre","affiliations":[{"id":86743,"text":"California Polytechnic State University Humboldt","active":true,"usgs":false}],"preferred":false,"id":952056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huff, David D.","contributorId":363828,"corporation":false,"usgs":false,"family":"Huff","given":"David","middleInitial":"D.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":952057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fiechter, Jerome","contributorId":272532,"corporation":false,"usgs":false,"family":"Fiechter","given":"Jerome","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":952058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yoklavich, Mary","contributorId":363829,"corporation":false,"usgs":false,"family":"Yoklavich","given":"Mary","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":952059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":952060,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271413,"text":"70271413 - 2025 - Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring","interactions":[],"lastModifiedDate":"2025-09-12T15:57:51.924789","indexId":"70271413","displayToPublicDate":"2025-09-11T10:52:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring","docAbstract":"Effective recovery plans for endangered species rely on insights into species’ ecology to identify risks and develop population recovery strategies. Data gaps pose challenges for many species of conservation concern, particularly those with cryptic behaviors or that occupy difficult-to-access habitats. Sounds produced by these species offer an effective means of observing many such marine and aquatic species, and for this reason, passive acoustic monitoring has emerged as an important study and assessment approach in marine systems. This approach is only just beginning to be applied for aquatic species monitoring in freshwater habitats. Atlantic sturgeon Acipenser oxyrinchus, a species of conservation concern along the US East Coast, remains poorly understood due to persistent data gaps despite years of conservation efforts. While sounds have been described for other sturgeons, sounds from Atlantic sturgeon have not yet been reported. Here, we characterized acoustic cues associated with Atlantic sturgeon in the Hudson River, New York, USA, and identified a low-frequency (44 Hz peak frequency) signal strongly correlated with the occurrence of telemetry-tagged adults which enter the river to spawn. We corroborated these efforts with recordings of captive Atlantic sturgeon, in which we detected the same sound type during a spawning period. Our findings provide an opportunity to develop passive acoustic monitoring strategies for Atlantic sturgeon, offering a non-invasive tool for understanding the spatiotemporal distribution of spawning activity across their range. We demonstrate potential applications of passive acoustic monitoring to inform sturgeon conservation and management, including characterizing habitat use, identifying cross-species interactions, and providing abundance indices.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01429","usgsCitation":"Cohen, R., Baker, P.J., Bowser, C., Breece, M.W., Flecker, A., Fox, D., Henne, J., Higgs, A., Niemistö, M., Pendleton, R., Sethi, S.A., White, S.L., and Rice, A., 2025, Sounds of Atlantic sturgeon spawning: First description and opportunities for riverine endangered species conservation with passive acoustic monitoring: Endangered Species Research, v. 58, esr01429, 14 p., https://doi.org/10.3354/esr01429.","productDescription":"esr01429, 14 p.","ipdsId":"IP-172988","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":495727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01429","text":"Publisher Index Page"},{"id":495451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Hudson River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.98924679821867,\n 41.91282824598875\n ],\n [\n -73.98924679821867,\n 41.74100048915943\n ],\n [\n -73.8886148088487,\n 41.74100048915943\n ],\n [\n -73.8886148088487,\n 41.91282824598875\n ],\n [\n -73.98924679821867,\n 41.91282824598875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cohen, Rebecca","contributorId":361342,"corporation":false,"usgs":false,"family":"Cohen","given":"Rebecca","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":948641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Patrick J.","contributorId":289215,"corporation":false,"usgs":false,"family":"Baker","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":948642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowser, Christopher","contributorId":361343,"corporation":false,"usgs":false,"family":"Bowser","given":"Christopher","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breece, Matthew W.","contributorId":116999,"corporation":false,"usgs":false,"family":"Breece","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":948644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flecker, Alexander","contributorId":348061,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Dewayne","contributorId":340954,"corporation":false,"usgs":false,"family":"Fox","given":"Dewayne","affiliations":[{"id":37219,"text":"Delaware State University","active":true,"usgs":false}],"preferred":false,"id":948646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henne, James","contributorId":361346,"corporation":false,"usgs":false,"family":"Henne","given":"James","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":948647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Higgs, Amanda","contributorId":225402,"corporation":false,"usgs":false,"family":"Higgs","given":"Amanda","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948648,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Niemistö, Maija","contributorId":361347,"corporation":false,"usgs":false,"family":"Niemistö","given":"Maija","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":948649,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pendleton, Richard","contributorId":348720,"corporation":false,"usgs":false,"family":"Pendleton","given":"Richard","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948650,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sethi, Suresh A","contributorId":171843,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A","affiliations":[{"id":26952,"text":"U.S. Fish and Wildlife Service, Anchorage, AK; Fisheries, Aquatic Science and Technology Lab, Alaska Pacific University, Anchorage, AK and U.S. Geological Survey New York Cooperative Fish and Wildlife Research Unit, Cornell University, Ithaca, NY","active":true,"usgs":false}],"preferred":false,"id":948651,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":948652,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rice, Aaron","contributorId":275864,"corporation":false,"usgs":false,"family":"Rice","given":"Aaron","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":948653,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70271351,"text":"dr1216 - 2025 - Distribution, abundance, and habitat characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 data summary","interactions":[],"lastModifiedDate":"2026-02-03T15:24:03.674446","indexId":"dr1216","displayToPublicDate":"2025-09-11T10:03:01","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1216","displayTitle":"Distribution, Abundance, and Habitat Characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 Data Summary","title":"Distribution, abundance, and habitat characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 data summary","docAbstract":"We surveyed for coastal Cactus Wren (Campylorhynchus brunneicapillus) in 507 established plots in San Diego County in 2024, encompassing four genetic clusters (Otay, Lake Jennings, Sweetwater/Encanto, and San Pasqual). Of the 507 plots, 376 have been surveyed every year starting in 2020. Two surveys were completed at each plot between March 1 and July 31, 2024. Cactus Wrens were detected in 216 plots (43 percent of plots). Cactus Wrens were detected in 34 percent of the plots that have been consistently surveyed since 2020, indicating a higher plot occupancy rate than in 2023 (26 percent) and a similar plot occupancy rate to 2022 (31 percent), 2021 (34 percent), and 2020 (35 percent). There were 175 Cactus Wren territories detected across all survey plots in 2024. We documented 111 territories in the plots that have been consistently surveyed since 2020, which is an increase from 85 territories in 2023 and from 94 territories in 2022, and similar to the number of territories documented in 2021 (113) and 2020 (109). The number of territories declined from 2023 to 2024 in the San Pasqual genetic cluster but increased in the Otay, Lake Jennings, and Sweetwater/Encanto genetic clusters. At least 86 percent of Cactus Wren territories were occupied by pairs, and 176 fledglings were observed in 2024.
We observed six banded Cactus Wrens in 2024, all of which we could identify individually by color band combination. Adults of known age ranged from 5 to 8 years old. All individually identifiable adult Cactus Wrens occupied the same territory in 2024 that they occupied during 2022 or 2023. We detected no movement of banded Cactus Wrens between genetic clusters during 2024.
Vegetation at Cactus Wren survey plots was dominated by coastal sage scrub shrubs, such as California sagebrush (Artemisia californica), California buckwheat (Eriogonum fasciculatum), lemonade berry (Rhus integrifolia), San Diego County sunflower (Bahiopsis laciniata), and laurel sumac (Malosma laurina). Cactus Wrens preferentially occupied plots dominated by California buckwheat in the Otay genetic cluster and avoided plots dominated by lemonade berry (results of this test were marginally significant). Cactus Wrens also appeared to prefer plots dominated by broom baccharis (Baccharis sarothroides) in the Sweetwater/Encanto cluster and plots dominated by California buckwheat in the San Pasqual genetic cluster, although these preferences were marginally statistically significant. No definitive signs of fungal pathogens were observed on cactus within and around survey plots. Blue elderberry (Sambucus mexicana) was detected at 43 percent of plots, and Cactus Wrens preferentially occupied more plots with elderberry than were available. Very little dead or unhealthy cactus was observed within all survey plots, and Cactus Wrens preferentially occupied plots with lower amounts of dead and unhealthy cactus than were available. Over 80 percent of plots had more than 5 percent of cactus crowded or overtopped by vines and shrubs, and Cactus Wren occupied plots in proportion to the degree of shrub and vine crowding or overtopping. Non-native annual cover was less prevalent in survey plots in 2024 than in 2023, and Cactus Wrens preferentially occupied plots with less non-native cover.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1216","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2025, Distribution, abundance, and habitat characteristics of Coastal Cactus Wrens (Campylorhynchus brunneicapillus) in San Diego County, California—2024 data summary: U.S. Geological Survey Data Report 1216, 15 p., https://doi.org/10.3133/dr1216.","productDescription":"Report: vi, 15 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-175224","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":495257,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1216/dr1216.XML"},{"id":495256,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1216/images"},{"id":495255,"rank":4,"type":{"id":30,"text":"Data 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Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The volume of data in the public geoscience sphere is rapidly and continually expanding. At Geoscience Australia (GA) we saw an over 500% increase in data points within our relational databases between 2018 and 2024, over the life of the Exploring for the Future (EFTF) program. With the Resourcing Australia’s Prosperity initiative, a continued increase in data quantity will be seen for the next 10 to 35 years. At the same time, a broadening audience for geoscience data is increasing the desire to enhance the diversity of delivery streams. This ranges from data-dense highly technical outputs for geoscience specialists to curated interpretive products for people who are non-geoscientists. Development of these curated outputs has contributed to our awareness
of the need for data to be collected and compiled in a way that ensures its reuse, with a focus on quality metadata and data provenance.
In today’s rapidly changing economic landscape, understanding market responsiveness to price changes and the factors influencing commodity prices has become increasingly relevant. Price elasticities serve as indicators of how variations in market conditions affect supply and demand, providing insights into the sensitivity of commodity markets to price fluctuations. This paper presents a comprehensive analysis of price elasticities of supply and demand for 74 non-fuel mineral commodities including precious metals, base metals, minor metals, and industrial minerals that are utilized across various industries. We employ various econometric techniques, including fixed effects models for panel data and two-stage dynamic ordinary least squares (2S-DOLS) alongside autoregressive distributed lag (ARDL) models for time series analysis, to derive robust estimates of price elasticities. Our findings reveal variability in elasticities among different commodities and indicate that all studied mineral commodities exhibit price inelastic supply and demand in the short run, which we define as one year for the purposes of our analysis, given that the data is all annual. This research provides original estimates of price responsiveness for a wide range of commodities that have not been previously addressed in the literature, thereby enhancing the understanding of market dynamics in the mineral sector. Given that price elasticities can be influenced by factors such as market structure, technological advancements, mining costs, and industry-specific demand drivers, we use variables that serve as proxies for these factors.
","language":"English","publisher":"Springer","doi":"10.1007/s13563-025-00537-3","usgsCitation":"Shojaeddini, E., Alonso, E., Nassar, N.T., Pineault, D., Allen, S.M., Brainard, J.L., McCaffrey, D.M., O'Brien, T.M., Padilla, A.J., and Ryter, J.W., 2025, Understanding market sensitivity: Estimation of supply and demand elasticities for non-fuel minerals: Mineral Economics, v. 38, p. 985-996, https://doi.org/10.1007/s13563-025-00537-3.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-180072","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":495732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13563-025-00537-3","text":"Publisher Index Page"},{"id":495491,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pineault, David 0009-0001-6801-4711","orcid":"https://orcid.org/0009-0001-6801-4711","contributorId":352217,"corporation":false,"usgs":true,"family":"Pineault","given":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Sydney M. 0000-0001-6560-3548","orcid":"https://orcid.org/0000-0001-6560-3548","contributorId":359608,"corporation":false,"usgs":true,"family":"Allen","given":"Sydney","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948749,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Brien, Timothy M. 0009-0007-7178-100X","orcid":"https://orcid.org/0009-0007-7178-100X","contributorId":361401,"corporation":false,"usgs":true,"family":"O'Brien","given":"Timothy","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948750,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948751,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ryter, John W. 0000-0002-0343-7553","orcid":"https://orcid.org/0000-0002-0343-7553","contributorId":345416,"corporation":false,"usgs":true,"family":"Ryter","given":"John","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948752,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70273022,"text":"70273022 - 2025 - Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","interactions":[],"lastModifiedDate":"2025-12-12T15:14:04.925076","indexId":"70273022","displayToPublicDate":"2025-09-11T08:08:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5738,"text":"Frontiers in Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.","docAbstract":"Understanding habitat connectivity is critical for managing nonindigenous aquatic species (NAS) spread. Dams and watershed boundaries can be impassable to NAS during typical conditions but may become temporarily passable during flooding. The goal of our project was to develop an approach for identifying locations of aquatic connectivity at a fine spatial scale along watershed boundaries using readily available data. To develop this approach, we focused on the potential for range expansion of invasive fish in the United States via possible cross-boundary habitat connections. First, we developed an index using metrics of elevation, watershed size, and geology at regular points along a watershed boundary to stratify points by likelihood of connectivity during high precipitation (>20 mm of precipitation in a 3-day period). We then used a subset of points across a gradient of connectivity likelihoods to gather Landsat-derived observed surface water data and developed a statistical model to predict surface water presence from landscape characteristics. We applied the model throughout the entire watershed boundary to identify locations of hydrologic connectivity during high-water events. The presence of surface water on watershed boundaries was predicted by the interactions between watershed boundary point elevation relative to the minimum adjacent HUC-12 elevations and watershed boundary point elevation relative to neighboring point elevations (marginal R2 = 0.94). Our approach can be used to identify potential areas of surface water connectivity between watersheds quickly and easily at a fine spatial scale using readily available, remotely sensed data that can inform conservation and management actions across disciplines.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1646017","usgsCitation":"Pfaff, P.J., Coulter, A.A., Schall, B.J., Davis, T., Chipps, S.R., and Coulter, D.P., 2025, Predicting aquatic habitat connectivity across watershed boundaries: Implications for interbasin spread of nonindigenous aquatic species.: Frontiers in Environmental Science, v. 113, 1646017, 8 p., https://doi.org/10.3389/fenvs.2025.1646017.","productDescription":"1646017, 8 p.","ipdsId":"IP-168696","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497698,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1646017","text":"Publisher Index Page"},{"id":497465,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.5860882678942,\n 47.0340515938843\n ],\n [\n -98.5860882678942,\n 42.75965927049364\n ],\n [\n -96.3287308953151,\n 42.75965927049364\n ],\n [\n -97.02339781306394,\n 45.96566324768915\n ],\n [\n -97.13756830247006,\n 47.16863340208883\n ],\n [\n -98.5860882678942,\n 47.0340515938843\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pfaff, Peter J.","contributorId":363920,"corporation":false,"usgs":false,"family":"Pfaff","given":"Peter","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulter, Alison A.","contributorId":363922,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","middleInitial":"A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schall, Benjamin J.","contributorId":363925,"corporation":false,"usgs":false,"family":"Schall","given":"Benjamin","middleInitial":"J.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Tanner","contributorId":348518,"corporation":false,"usgs":false,"family":"Davis","given":"Tanner","affiliations":[{"id":83369,"text":"South Dakota Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":952109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952110,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coulter, David P.","contributorId":363929,"corporation":false,"usgs":false,"family":"Coulter","given":"David","middleInitial":"P.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":952111,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271957,"text":"70271957 - 2025 - Factors structuring macrofaunal communities of hydrocarbon seeps along the Cascadia margin","interactions":[],"lastModifiedDate":"2025-09-26T15:05:09.352837","indexId":"70271957","displayToPublicDate":"2025-09-11T07:57:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7748,"text":"Deep Sea Research Part I: Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"title":"Factors structuring macrofaunal communities of hydrocarbon seeps along the Cascadia margin","docAbstract":"Cold seeps, fueled by hydrocarbon-based chemosynthesis, support unique benthic communities that can vary across small spatial scales influenced by local geochemistry. We examined the community structure and function of macrofauna in cold seeps along the Cascadia margin on the edge of gas hydrate stability—a dynamic environment that may fluctuate as seafloor temperatures change. These communities were assessed in relation to their sediment environment to provide baseline data for these previously uninvestigated seeps and decipher the most significant variables structuring them. Specific environmental drivers investigated include sediment organic carbon, total nitrogen, C:N ratios, stable isotopes (δ13C and δ15N), redox potential, grain size, and porefluid chemistry. Macrofaunal community composition varied across locations separating into twelve distinct clusters. Several co-located cores clustered separately, indicating high heterogeneity in these communities at small spatial scales. Significant drivers of macrofauna communities included clay and sand content, C:N, δ15N values, organic carbon content, and depth. Functional trait composition was influenced by similar drivers, including depth, δ15N values, C:N, and sand content. Our results indicate similar environmental variables structure macrofaunal community composition and function across small- and large-scale gradients, contributing to our understanding of heterogeneity in local and regional factors that shape seep macrofaunal communities. This is the first investigation of macrofauna at these recently discovered seeps and provides baseline data on the hydrate stability zone for future comparisons, advancing our knowledge of broad-scale trends in seep macrofauna ecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2025.104590","usgsCitation":"Mccowen, P.J., Bourque, J.R., Behringer, D.C., Prouty, N.G., and Demopoulos, A.W., 2025, Factors structuring macrofaunal communities of hydrocarbon seeps along the Cascadia margin: Deep Sea Research Part I: Oceanographic Research Papers, v. 225, 104590, 16 p., https://doi.org/10.1016/j.dsr.2025.104590.","productDescription":"104590, 16 p.","ipdsId":"IP-166500","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia margin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.10914428115501,\n 48.56985420710134\n ],\n [\n -125.10914428115501,\n 39.42789880004142\n ],\n [\n -120.84693897033088,\n 39.42789880004142\n ],\n [\n -120.84693897033088,\n 48.56985420710134\n ],\n [\n -125.10914428115501,\n 48.56985420710134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"225","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mccowen, Penny Jo 0000-0001-9978-229X","orcid":"https://orcid.org/0000-0001-9978-229X","contributorId":361805,"corporation":false,"usgs":true,"family":"Mccowen","given":"Penny","middleInitial":"Jo","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behringer, Donald C. 0000-0001-5244-471X","orcid":"https://orcid.org/0000-0001-5244-471X","contributorId":361807,"corporation":false,"usgs":false,"family":"Behringer","given":"Donald","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":949496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":216118,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","middleInitial":"W.J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949498,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271380,"text":"70271380 - 2025 - Yellowstone River Compact Commission seventy-third annual report 2024","interactions":[],"lastModifiedDate":"2025-09-10T19:30:45.669271","indexId":"70271380","displayToPublicDate":"2025-09-10T14:30:09","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"displayTitle":"Yellowstone River Compact Commission seventy-third annual report 2024","title":"Yellowstone River Compact Commission seventy-third annual report 2024","docAbstract":"No abstract available.
","language":"English","publisher":"Yellowstone River Compact Commission","usgsCitation":"Fiaschetti, A.A., 2025, Yellowstone River Compact Commission seventy-third annual report 2024: Cooperator Report, v, 43 p.","productDescription":"v, 43 p.","ipdsId":"IP-176119","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":495289,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/yellowstone-river-compact-commission-seventy-third-annual-report-2024"},{"id":495288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fiaschetti, Aaron A. 0000-0003-4164-1587 afiaschetti@usgs.gov","orcid":"https://orcid.org/0000-0003-4164-1587","contributorId":361174,"corporation":false,"usgs":true,"family":"Fiaschetti","given":"Aaron","email":"afiaschetti@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":948328,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70271314,"text":"fs20253043 - 2025 - Assessment of undiscovered conventional oil and gas resources of India and Sri Lanka, 2024","interactions":[],"lastModifiedDate":"2026-02-03T15:23:22.239021","indexId":"fs20253043","displayToPublicDate":"2025-09-10T11:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3043","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of India and Sri Lanka, 2024","title":"Assessment of undiscovered conventional oil and gas resources of India and Sri Lanka, 2024","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 1.0 billion barrels of oil and 53.4 trillion cubic feet of gas in India and Sri Lanka.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20253043","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources of India and Sri Lanka, 2024: U.S. Geological Survey Fact Sheet 2025–3043, 4 p., https://doi.org/10.3133/fs20253043.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169389","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":495323,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253043/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3043"},{"id":495284,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3043/fs20253043.xml"},{"id":495283,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3043/images"},{"id":495163,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KMTXF","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—India and Sri Lanka Provinces—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":495161,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3043/coverthb.jpg"},{"id":495162,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3043/fs20253043.pdf","text":"Report","size":"5.99 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3043"}],"country":"India, Sri Lanka","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[77.83745,35.49401],[78.91227,34.32194],[78.81109,33.5062],[79.20889,32.99439],[79.17613,32.48378],[78.45845,32.61816],[78.73889,31.51591],[79.72137,30.88271],[81.11126,30.18348],[80.47672,29.72987],[80.08842,28.79447],[81.0572,28.4161],[81.99999,27.92548],[83.30425,27.36451],[84.67502,27.2349],[85.25178,26.7262],[86.02439,26.63098],[87.22747,26.3979],[88.06024,26.41462],[88.1748,26.81041],[88.04313,27.44582],[88.12044,27.87654],[88.73033,28.08686],[88.81425,27.29932],[88.83564,27.09897],[89.74453,26.7194],[90.37327,26.87572],[91.21751,26.80865],[92.03348,26.83831],[92.10371,27.45261],[91.69666,27.77174],[92.50312,27.89688],[93.41335,28.64063],[94.56599,29.27744],[95.4048,29.03172],[96.11768,29.4528],[96.58659,28.83098],[96.24883,28.41103],[97.32711,28.26158],[97.40256,27.88254],[97.05199,27.69906],[97.134,27.08377],[96.41937,27.26459],[95.12477,26.57357],[95.15515,26.00131],[94.60325,25.1625],[94.55266,24.67524],[94.10674,23.85074],[93.32519,24.07856],[93.28633,23.04366],[93.06029,22.70311],[93.16613,22.27846],[92.67272,22.04124],[92.14603,23.6275],[91.86993,23.62435],[91.70648,22.98526],[91.15896,23.50353],[91.46773,24.07264],[91.91509,24.13041],[92.3762,24.97669],[91.7996,25.14743],[90.87221,25.1326],[89.92069,25.26975],[89.83248,25.96508],[89.35509,26.01441],[88.56305,26.44653],[88.20979,25.76807],[88.93155,25.23869],[88.30637,24.86608],[88.08442,24.50166],[88.69994,24.23371],[88.52977,23.63114],[88.87631,22.87915],[89.03196,22.05571],[88.88877,21.69059],[88.2085,21.70317],[86.9757,21.49556],[87.03317,20.74331],[86.49935,20.15164],[85.06027,19.47858],[83.94101,18.30201],[83.18922,17.67122],[82.19279,17.01664],[82.19124,16.55666],[81.69272,16.31022],[80.792,15.95197],[80.3249,15.89918],[80.02507,15.13641],[80.23327,13.83577],[80.28629,13.00626],[79.86255,12.05622],[79.858,10.35728],[79.34051,10.30885],[78.88535,9.54614],[79.18972,9.21654],[78.27794,8.93305],[77.94117,8.25296],[77.5399,7.96553],[76.59298,8.89928],[76.13006,10.29963],[75.74647,11.30825],[75.3961,11.78125],[74.86482,12.74194],[74.61672,13.99258],[74.44386,14.61722],[73.5342,15.99065],[73.11991,17.92857],[72.82091,19.20823],[72.82448,20.4195],[72.63053,21.35601],[71.17527,20.75744],[70.47046,20.87733],[69.16413,22.0893],[69.64493,22.45077],[69.3496,22.84318],[68.17665,23.69197],[68.8426,24.35913],[71.04324,24.35652],[70.8447,25.2151],[70.28287,25.72223],[70.16893,26.49187],[69.51439,26.94097],[70.6165,27.9892],[71.77767,27.91318],[72.82375,28.96159],[73.45064,29.97641],[74.42138,30.97981],[74.40593,31.69264],[75.25864,32.27111],[74.45156,32.7649],[74.10429,33.44147],[73.74995,34.3177],[74.2402,34.74889],[75.75706,34.50492],[76.87172,34.65354],[77.83745,35.49401]]],[[[81.78796,7.52306],[81.63732,6.48178],[81.21802,6.19714],[80.34836,5.96837],[79.87247,6.76346],[79.69517,8.20084],[80.1478,9.82408],[80.83882,9.26843],[81.30432,8.56421],[81.78796,7.52306]]]]},\"properties\":{\"name\":\"India\"}}]}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Omori’s law states that the rate of aftershocks decays as a function of inverse time. There are multiple physical explanations that we reduce into a nonlinear mixed effects relation of three terms: (1) a Rate/State expression that can account for static/dynamic and viscoelastic triggering caused directly by the mainshock, (2) a fluid diffusion triggering term, and (3) a randomized secondary triggering (cascade) term. We fit free physical-model parameters to an observed aftershock sequence through two nonlinear regression methods to find the relative contributions of physics-based models in an observed aftershock sequence. Results from both methods show that Rate/State models overpredict aftershock rates by ∼0–30%. Secondary aftershocks cause a net negative contribution (seismicity rate reduction that corrects overprediction by other terms) ranging between ∼0 and 30%. All regression solutions yield negative secondary triggering contributions without being guided to do so. A physical explanation for this is that aftershock occurrence relieves stress from the crust, ultimately causing the sequence to extinguish itself. Fluid diffusion triggering contributions range from ∼0 to 20%. Diffusion processes are observed to be shorter in time than the full duration of an aftershock sequence and they are also spatially limited, diminishing their influence. Our results apply to an aftershock decay curve from the 2016 Central Apennines earthquake sequence, meaning that our specific results may not be general. Our primary conclusion is that any one physical model cannot alone fit the observed sequence as well as the combination of three we investigated.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2025.1619887","usgsCitation":"Parsons, T.E., Geist, E.L., and Malagnini, L., 2025, An exploration of the relative influence of physical models for Omori’s law: Frontiers in Earth Science, v. 13, 1619887, 20 p., https://doi.org/10.3389/feart.2025.1619887.","productDescription":"1619887, 20 p.","ipdsId":"IP-173870","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2025.1619887","text":"Publisher Index Page"},{"id":496017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":949365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271992,"text":"70271992 - 2025 - Detection and genetic characterization of red-spotted grouper nervous necrosis virus and a novel genotype of nervous necrosis virus in black sea bass from the U.S. Atlantic coast","interactions":[],"lastModifiedDate":"2026-02-10T13:37:55.887296","indexId":"70271992","displayToPublicDate":"2025-09-10T10:17:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Detection and genetic characterization of red-spotted grouper nervous necrosis virus and a novel genotype of nervous necrosis virus in black sea bass from the U.S. Atlantic coast","docAbstract":"Nervous necrosis virus (NNV) causes a neurologic disease in a wide range of marine fish and poses serious disease risks to marine aquaculture worldwide. Little is known about the presence of NNV along the Atlantic coast of the United States, aside from the presence of barfin flounder nervous necrosis virus (BFNNV) in coldwater species in the northern part of this range. Herein we conducted surveillance for NNV from 2020 to 2022 in the mid-Atlantic region of the United States in black sea bass Centropristis striata, a serranid fish that is found throughout the eastern U.S. coast. Molecular detection methods have identified and characterized red-spotted grouper nervous necrosis virus (RGNNV) sequences at low prevalence throughout the years. Further, in 2022, a higher prevalence of a novel NNV genotype, tentatively named black sea bass nervous necrosis virus (BSBNNV), was characterized for the first time. Though virus isolation was unsuccessful, this study was the first to genetically identify NNV in this region and in this species. These findings highlight the need for further research on NNV to understand epidemiology and virulence in the context of marine fisheries and an emerging marine aquaculture industry in the United States.
","language":"English","publisher":"MDPI","doi":"10.3390/v17091234","usgsCitation":"Lovy, J., Abbadi, M., Toffan, A., Das, N., Neugebauer, J., Batts, W., and Clarke, P., 2025, Detection and genetic characterization of red-spotted grouper nervous necrosis virus and a novel genotype of nervous necrosis virus in black sea bass from the U.S. Atlantic coast: Viruses, v. 17, no. 9, 1234, 19 p., https://doi.org/10.3390/v17091234.","productDescription":"1234, 19 p.","ipdsId":"IP-181771","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":496328,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17091234","text":"Publisher Index Page"},{"id":496264,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.66376207947636,\n 40.441483784005726\n ],\n [\n -74.69874772981566,\n 40.441483784005726\n ],\n [\n -74.69874772981566,\n 39.2532247332031\n ],\n [\n -73.66376207947636,\n 39.2532247332031\n ],\n [\n -73.66376207947636,\n 40.441483784005726\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":949626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbadi, Miriam","contributorId":361912,"corporation":false,"usgs":false,"family":"Abbadi","given":"Miriam","affiliations":[{"id":86382,"text":"Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università 10, 35020 Legnaro (Padova), Italy","active":true,"usgs":false}],"preferred":false,"id":949627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toffan, Anna","contributorId":361913,"corporation":false,"usgs":false,"family":"Toffan","given":"Anna","affiliations":[{"id":86382,"text":"Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell’Università 10, 35020 Legnaro (Padova), Italy","active":true,"usgs":false}],"preferred":false,"id":949628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Nilanjana","contributorId":337003,"corporation":false,"usgs":false,"family":"Das","given":"Nilanjana","email":"","affiliations":[{"id":80944,"text":"Office of Fish and Wildlife Health and Forensics, New Jersey Fish and Wildlife, Oxford, NJ 07863, USA","active":true,"usgs":false}],"preferred":false,"id":949629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neugebauer, James","contributorId":361914,"corporation":false,"usgs":false,"family":"Neugebauer","given":"James","affiliations":[{"id":86385,"text":"Office of Fish and Wildlife Health and Forensics, New Jersey Fish and Wildlife, Oxford, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":949630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batts, William 0000-0002-6469-9004","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":359732,"corporation":false,"usgs":false,"family":"Batts","given":"William","affiliations":[{"id":85434,"text":"Formerly USGS Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":949631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clarke, Peter","contributorId":361915,"corporation":false,"usgs":false,"family":"Clarke","given":"Peter","affiliations":[{"id":86386,"text":"Bureau of Marine Fisheries, New Jersey Fish and Wildlife, Nacote Creek, NJ, USA","active":true,"usgs":false}],"preferred":false,"id":949632,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271742,"text":"70271742 - 2025 - Causal interpretations can be based on mechanistic knowledge","interactions":[],"lastModifiedDate":"2025-12-01T16:39:54.020377","indexId":"70271742","displayToPublicDate":"2025-09-10T09:51:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Causal interpretations can be based on mechanistic knowledge","docAbstract":"The Rocky Mountain Population (RMP) of trumpeter swans Cygnus buccinator (hereafter, swans) in North America includes breeders in the Greater Yellowstone Area (GYA) and other western states (together, United States segment) and western provinces of Canada (Canada segment). Conservation concern for the United States segment stems from its slow population growth and the resident nature of GYA swans, which intermingle with migrating Canada segment swans in wintering habitats. Thus, understanding variation in migratory behavior and habitat use by swans in the two population segments can inform how management actions may affect the RMP. We used telemetry data from 55 RMP swans captured in the western United States to understand their movements and habitat use. For 45 swans (60 swan-years) that spent the summer in the United States, distance traveled between breeding and wintering areas ranged from 0 km (i.e., no migration in 22% of swan-years) to 473 km, with an average of nonzero movements of 118 ± 95 km (SD). Swans traveled farther distances when maximum temperatures were lower. For 10 swans (16 swan-years) that spent the summer in Canada, five appeared to molt but not to nest, and four appeared to nest in one or more years. Migration timing was similar for molting and nesting swans. All five molting swans and one nesting swan spent at least one previous summer in the GYA. Migratory connectivity of all birds was weaker in years when more swans migrated to Canada for the summer. During the breeding season, Canada swans used low-elevation lakes, but United States swans used high-elevation lakes. Both groups of swans increased use of crop fields outside of the breeding season. Our study shows interchange between the United States and Canada segments, a finding that challenges the efficacy of existing population designations. Furthermore, variation in movement behavior of GYA swans suggests possible actions, such as restoring winter habitats to increase swan distribution and migration, to support swan conservation.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70096","usgsCitation":"Poessel, S.A., Sanders, T., Long, W., Kristof, A., Reishus, B., Proett, M., Gower, C., Ibrahim, N., and Katzner, T.E., 2025, Movements and habitat use vary across the Rocky Mountain Population of trumpeter swans: Journal of Wildlife Management, v. 89, no. 8, e70096, 18 p., https://doi.org/10.1002/jwmg.70096.","productDescription":"e70096, 18 p.","ipdsId":"IP-160496","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":496640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -138.95754939868905,\n 61.560322423115394\n ],\n [\n -118.55526728999622,\n 51.12368923776994\n ],\n [\n -119.05891663327156,\n 42.82280620245445\n ],\n [\n -113.19458823923267,\n 41.306395580626145\n ],\n [\n -110.6147155407601,\n 41.23543486615125\n ],\n [\n -111.72918253654919,\n 48.78609382462486\n ],\n [\n -114.68487126300441,\n 52.72581807685856\n ],\n [\n -131.60641572663843,\n 61.0005751873353\n ],\n [\n -138.95754939868905,\n 61.560322423115394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":950525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Todd","contributorId":357733,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":950526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":950527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kristof, Andrea","contributorId":362455,"corporation":false,"usgs":false,"family":"Kristof","given":"Andrea","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reishus, Brandon","contributorId":362456,"corporation":false,"usgs":false,"family":"Reishus","given":"Brandon","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Proett, Matt","contributorId":362457,"corporation":false,"usgs":false,"family":"Proett","given":"Matt","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":950530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gower, Claire","contributorId":362458,"corporation":false,"usgs":false,"family":"Gower","given":"Claire","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":950531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ibrahim, Nicole","contributorId":362461,"corporation":false,"usgs":false,"family":"Ibrahim","given":"Nicole","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":950532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191909,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd","email":"tkatzner@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":950533,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70272169,"text":"70272169 - 2025 - Assessing survey design for long-term population trend detection in piping plovers","interactions":[],"lastModifiedDate":"2025-11-18T15:45:14.370821","indexId":"70272169","displayToPublicDate":"2025-09-10T08:39:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Assessing survey design for long-term population trend detection in piping plovers","docAbstract":"Determining appropriate spatio-temporal scales for monitoring migratory shorebirds is challenging. Effective surveys must detect population trends without excessive or insufficient sampling, yet many programs lack formal evaluations of survey effectiveness. Using data from 2012 to 2019 on Louisiana’s barrier islands (Whiskey, west Raccoon, east Raccoon, and Trinity), we assessed how spatial and temporal scales influence population trend inference for piping plovers (Charadrius melodus). Point count data were aggregated to grid sizes from 50 to 200 m and analyzed using Bayesian dynamic occupancy models. We found occupancy and colonization estimates varied by spatial resolution, with space–time autocorrelation common across scales. Smaller islands (east and west Raccoon) yielded higher trend detection power due to better detectability, while larger islands (Trinity and Whiskey) showed lower power. Detectability, more than sampling frequency, drove trend inference. Models incorporating spatial autocorrelation outperformed traditional Frequentist approaches but showed poorer fit at coarser scales. These findings underscore how matching analytical scale to ecological processes and selecting appropriate models can influence predictions. Power analysis revealed that increasing survey frequency may improve inference, especially in low-detectability areas. Overall, our study highlights how careful scale selection, model diagnostics, and survey design can enhance monitoring efficiency and support long-term conservation of migratory shorebirds.
","language":"English","publisher":"MDPI","doi":"10.3390/land14091846","usgsCitation":"Bohnett, E., Schulz, J., Dobbs, R., Hoctor, T., Ahmad, B., Rashid, W., and Waddle, J., 2025, Assessing survey design for long-term population trend detection in piping plovers: Land, v. 14, no. 9, 1846, 25 p., https://doi.org/10.3390/land14091846.","productDescription":"1846, 25 p.","ipdsId":"IP-180225","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land14091846","text":"Publisher Index Page"},{"id":496588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Isles Dernieres, Raccoon Island, Trinity Island, Whiskey Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.35300936814708,\n 29.370915739158065\n ],\n [\n -91.35300936814708,\n 29.010416129236035\n ],\n [\n -90.53724293701912,\n 29.010416129236035\n ],\n [\n -90.53724293701912,\n 29.370915739158065\n ],\n [\n -91.35300936814708,\n 29.370915739158065\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bohnett, Eve","contributorId":272548,"corporation":false,"usgs":false,"family":"Bohnett","given":"Eve","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":950294,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Jessica","contributorId":330111,"corporation":false,"usgs":false,"family":"Schulz","given":"Jessica","affiliations":[{"id":52994,"text":"New Hampshire Department of Environmental Services","active":true,"usgs":false}],"preferred":false,"id":950295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobbs, Robert C. 0000-0002-9079-7249 rdobbs@usgs.gov","orcid":"https://orcid.org/0000-0002-9079-7249","contributorId":200300,"corporation":false,"usgs":false,"family":"Dobbs","given":"Robert C.","email":"rdobbs@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":950296,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoctor, Thomas","contributorId":330115,"corporation":false,"usgs":false,"family":"Hoctor","given":"Thomas","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":950297,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ahmad, Bilal","contributorId":330120,"corporation":false,"usgs":false,"family":"Ahmad","given":"Bilal","email":"","affiliations":[{"id":78816,"text":"University of Swat, Pakistan","active":true,"usgs":false}],"preferred":false,"id":950298,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rashid, Wajid","contributorId":330121,"corporation":false,"usgs":false,"family":"Rashid","given":"Wajid","email":"","affiliations":[{"id":78816,"text":"University of Swat, Pakistan","active":true,"usgs":false}],"preferred":false,"id":950299,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, J. Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":215911,"corporation":false,"usgs":true,"family":"Waddle","given":"J. Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950300,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271381,"text":"70271381 - 2025 - Multi-stage crustal thickening, surface uplift, and collision in the western Himalaya-Karakoram-Tibet orogen revealed by chemical mohometry","interactions":[],"lastModifiedDate":"2025-09-11T15:03:42.311751","indexId":"70271381","displayToPublicDate":"2025-09-10T07:53:24","publicationYear":"2025","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":"Multi-stage crustal thickening, surface uplift, and collision in the western Himalaya-Karakoram-Tibet orogen revealed by chemical mohometry","docAbstract":"The Himalaya-Karakoram-Tibet (HKT) orogen provides an unrivaled opportunity to study the dynamic linkages between deep and surface processes during collisional orogenesis. However, these efforts are hindered by conflicting interpretations on the number and timing of collisional events, and the timing of crustal thickening and associated surface uplift. Here, we resolve this with quantitative paleo-crustal thickness estimates in the northwestern HKT orogen. We show that: (a) the paleo-Asian margin had thick crust (50–60 km) at least 65 Ma prior to terminal collision, consistent with a continental arc setting, (b) crustal thickening to 60 km or more occurred at ca. 60–50 Ma in the Kohistan-Ladakh arc and by 40–25 Ma in the paleo-Asian margin, indicating a multi-stage Himalayan collision, and (c) modern crustal thicknesses in the northwestern HKT have been sustained since ca. 40–25 Ma suggesting an orogenic steady-state in which crustal thickening, crustal flow, and surface uplift have been balanced by erosion.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012287","usgsCitation":"Hillenbrand, I.W., and Guevara, V.E., 2025, Multi-stage crustal thickening, surface uplift, and collision in the western Himalaya-Karakoram-Tibet orogen revealed by chemical mohometry: Geophysical Research Letters, v. 26, no. 9, e2025GC012287, 12 p., https://doi.org/10.1029/2025GC012287.","productDescription":"e2025GC012287, 12 p.","ipdsId":"IP-176047","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":495721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012287","text":"Publisher Index Page"},{"id":495318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Himalaya-Karakoram-Tibet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 76.9315577415208,\n 32.20096031337238\n ],\n [\n 76.9315577415208,\n 29.60948255862013\n ],\n [\n 81.65814316613967,\n 29.60948255862013\n ],\n [\n 81.65814316613967,\n 32.20096031337238\n ],\n [\n 76.9315577415208,\n 32.20096031337238\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":948329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guevara, Victor E.","contributorId":361175,"corporation":false,"usgs":false,"family":"Guevara","given":"Victor","middleInitial":"E.","affiliations":[{"id":40457,"text":"Amherst College","active":true,"usgs":false}],"preferred":false,"id":948330,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}