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.
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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}]}} ,{"id":70271204,"text":"sir20245118 - 2025 - Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","interactions":[],"lastModifiedDate":"2026-02-03T15:22:21.725184","indexId":"sir20245118","displayToPublicDate":"2025-09-09T15:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5118","displayTitle":"Spatiotemporal Variability of Algal Biomass and Nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","title":"Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019","docAbstract":"Cyanobacterial harmful algal blooms (CyanoHABs) have become increasingly common, threatening the security of water resources globally. The U.S. Geological Survey conducted high-resolution nearshore mapping surveys using boat-mounted multiparameter sondes and nitrate sensors during the summer and fall of 2019 on Owasco Lake and Seneca Lake, two lakes with documented CyanoHABs in the Finger Lakes region of New York State. Discrete sensor measurements and water-quality samples were collected at fixed points along survey routes and continuous data were generated at open-water monitoring platforms. This investigation examined whether water-quality information from nearshore surveys was representative of open-water conditions and if nearshore surveys could be used to identify areas with localized nearshore CyanoHABs and potential sources of nutrients not captured by tributary sampling.
In addition to comparisons across methods, nearshore concentrations of nitrate and chlorophyll were evaluated relative to tributary outlets, cyanobacterial abundance and biovolume at discrete locations, and the locations of near-surface CyanoHABs that were designated as “confirmed with high toxins” by the New York State Department of Environmental Conservation. Nitrate and chlorophyll concentrations were comparable across methods for each lake, although concentration ranges were typically higher for nearshore mapping datasets than for nearshore discrete datasets. Nearshore surveys indicated areas of nitrate enrichment that varied temporally in both lakes. Orthophosphate was not routinely detected. Across methods, median chlorophyll concentrations were higher for the summer survey than for the fall survey in Owasco Lake. Nearshore chlorophyll concentrations varied more temporally in Owasco Lake than in Seneca Lake.
Phytoplankton and cyanobacterial abundance and biovolume were about five times higher in Owasco Lake than in Seneca Lake. Cyanobacteria dominated the phytoplankton community in most samples, and Microcystis comprised the bulk of the cyanobacterial biovolume. The most abundant potential cyanotoxin-producing (specifically microcystins) genera were Microcystis, Synechococcus, Aphanocapsa, and Pseudanabaena. The cyanobacterial community composition was comparable between open-water monitoring platforms and nearshore samples. Microcystins were detected in seven survey samples from Owasco Lake, in one survey sample from Seneca Lake, and in one sample each from the open-water monitoring platforms on Owasco and Seneca Lakes that were collected about 7 days before the fall surveys. Microcystin detections were not consistently associated with high cyanobacterial cell counts or cyanotoxin-producing genera.
Results from nearshore surveys were comparable to open-water monitoring platforms and discrete nearshore observations in the absence of nearshore or open-water CyanoHABs in these systems during the study. Patterns of nearshore concentrations of nitrate and chlorophyll from nearshore surveys may aid in the identification of areas with localized nitrate loading and shifts in phytoplankton abundance and community composition.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245118","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation and the New York State Department of Health","usgsCitation":"Stouder, M.D.W., Gifford, S.R., Gutchess, K.M., Finkelstein, K.M., Johnston, B.D., Beaulieu, K.M., Rosen, J.J., Essig, M.L., and Foster, G.M., 2025, Spatiotemporal variability of algal biomass and nitrate in Owasco and Seneca Lakes in the Finger Lakes Region, New York, in 2019: U.S. Geological Survey Scientific Investigations Report 2024–5118, 39 p., https://doi.org/10.3133/sir20245118.","productDescription":"Report: viii, 39 p.; 2 Appendixes; 2 Data Releases","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-136099","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":495115,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118_app2.pdf","text":"Appendix 2","size":"397 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5118 Appendix 2","linkHelpText":"- Standard Operating Procedure for the Analysis of Total Microcystins and Nodularins in Discrete Water-Quality Samples for the Cyanobacterial Harmful Algal Blooms Advanced Monitoring Pilot Study"},{"id":495113,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2018–2020"},{"id":495129,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98P1VV6","text":"USGS data release","linkHelpText":"High-resolution spatial water-quality and discrete phytoplankton data, Owasco Lake, Seneca Lake, and Skaneateles Lake, Finger Lakes Region, New York, 2018–2019"},{"id":495205,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118.XML"},{"id":495111,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5118/images"},{"id":495110,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118.pdf","text":"Report","size":"9.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5118 PDF"},{"id":495155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5118/coverthb.jpg"},{"id":495204,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245118/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5118 HTML"},{"id":495114,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2024/5118/sir20245118_app1.pdf","text":"Appendix 1","size":"657 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5118 Appendix 1","linkHelpText":"- Quality Assurance Project Plan for Discrete Water-Quality Samples, Measurements, and Shoreline Surveys Conducted for the Cyanobacterial Harmful Algal Blooms Advanced Monitoring Pilot Study"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes region, Owasco Lake, Seneca Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.99541024728366,\n 42.88134266146028\n ],\n [\n -76.99541024728366,\n 42.3766690451576\n ],\n [\n -76.82099577233303,\n 42.3766690451576\n ],\n [\n -76.82099577233303,\n 42.88134266146028\n ],\n [\n -76.99541024728366,\n 42.88134266146028\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.55679821172299,\n 42.9076046331341\n ],\n [\n -76.55679821172299,\n 42.75261670559294\n ],\n [\n -76.44184136620188,\n 42.75261670559294\n ],\n [\n -76.44184136620188,\n 42.9076046331341\n ],\n [\n -76.55679821172299,\n 42.9076046331341\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
Urbanization reshapes dissolved organic matter (DOM) sources, transport, and transformations through changes in vegetation, hydrology, and management of waste and water. Yet the impacts of urbanization on DOM are variable within and among cities. Predicting heterogeneous responses to urbanization is challenged by diverse human activities and underlying biophysical variation along stream networks. Using data from the 486 largest urban areas in the continental United States and seven focal cities, we identified macro and local scale urban gradients in social, built, and biophysical factors that are expected to shape DOM. We used these gradients and the literature to develop hypotheses about heterogeneity in DOM quantity and quality within and among cities. Interactions among landscape and infrastructure attributes across spatial and temporal scales result in heterogeneous responses in DOM. Characterizing and quantifying these inconsistent responses to urbanization in contrasting settings may help to better understand heterogeneity and identify generalities among urban watersheds.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.70201","usgsCitation":"Hale, R., Hopkins, K.G., Capps, K., Kominoski, J.S., Morse, J.L., Roy, A.H., Chen, S., Quick, A., Blinn, A., Ortiz Muñoz, L., and Folk, G., 2025, Urban heterogeneity drives dissolved organic matter sources, transport, and transformation from local to macro scales: Limnology and Oceanography, v. 70, no. 11, p. 3109-3125, https://doi.org/10.1002/lno.70201.","productDescription":"18 p.","startPage":"3109","endPage":"3125","ipdsId":"IP-152099","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":495725,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70201","text":"Publisher Index Page"},{"id":495445,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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basin","interactions":[],"lastModifiedDate":"2025-09-10T14:21:34.022261","indexId":"70271364","displayToPublicDate":"2025-09-09T09:16:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin","docAbstract":"Decaying barrels on the seafloor linked to DDT contamination have raised concerns about the public health implications of decades old industrial waste dumped off the coast of Los Angeles. To explore their contents, we collected sediment cores perpendicular to five deep-sea barrels. The concentration of DDT and its breakdown products were highly elevated relative to control sites yet did not vary with distance from the barrels, suggesting that they were not associated with the contamination. Sediment cores collected through white halos surrounding three barrels were enriched in calcite and had elevated pH. The associated microbial communities were low diversity and dominated by alkalophilic bacteria with metagenome-assembled genomes adapted to high pH. A solid concretion sampled between a white halo and barrel was composed of brucite, a magnesium hydroxide mineral that forms at high pH. Based on these findings, we postulate that leakage of containerized alkaline waste triggered the formation of mineral concretions that are slowly dissolving and raising the pH of the surrounding sediment pore water. This selects for taxa adapted to extreme alkalinity and drives the precipitation of “anthropogenic” carbonates forming white halos, which serve as a visual identifier of barrels that contained alkaline waste. Remarkably, containerized alkaline waste discarded >50 years ago represents a persistent pollutant creating localized mineral formations and microbial communities that resemble those observed at some hydrothermal systems. These formations were observed at one-third of the visually identified barrels in the San Pedro Basin and have unforeseen, long-term consequences for benthic communities in the region.
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The limited resources available for freshwater mussel conservation necessitates the geographic prioritization of conservation-related actions. However, lack of knowledge about freshwater mussel spatial distributions hinders decision making in this context. In this study, we assessed the distribution of twelve native freshwater mussel species across six Northeastern states (Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, and Maine) in the United States using data collected from lentic and lotic environments by eight state agencies. We first modeled individual distributions using a maximum entropy (MaxEnt) model and then compiled distribution models to assess the distribution of freshwater mussel species richness. We also determined geographic prioritization for three conservation-related actions: species surveys, land protection, and population restoration of species of high conservation concern. We found that the percent of catchments predicted to have species occurrence (based on a probability threshold) varied across species, with Elliptio complanata (Eastern elliptio) predicted to occur in the greatest percent of available catchments (33.92%) and Alasmidonta heterodon (Dwarf wedgemussel) expected in the smallest percent (5.30%). The predicted overall species richness within our modeled catchments ranged from zero to all twelve species, with an average of two species per catchment. Although conservation priorities vary depending on the conservation action of interest, we found some areas of consistent importance including much of Maine and the southern reaches of the Connecticut River. An improved understanding of freshwater mussel distribution in a landscape framework will enable managers to implement more precise and efficient conservation interventions for these essential aquatic species.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0324387","usgsCitation":"O’Brien, R.S., DiRenzo, G.V., Roy, A.H., Carmignani, J., Quinones, R.M., Rogers, J.B., and Swartz, B.I., 2025, Catchment prioritization for freshwater mussel conservation in the Northeastern United States based on distribution modelling: PLoS ONE, v. 20, no. 9, e0324387, 20 p., https://doi.org/10.1371/journal.pone.0324387.","productDescription":"e0324387, 20 p.","ipdsId":"IP-175157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497699,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0324387","text":"Publisher Index Page"},{"id":497466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, 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\"}}]}","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Brien, Rebecca S.M.","contributorId":363993,"corporation":false,"usgs":false,"family":"O’Brien","given":"Rebecca","middleInitial":"S.M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":952157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":952158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carmignani, Jason","contributorId":360465,"corporation":false,"usgs":false,"family":"Carmignani","given":"Jason","affiliations":[{"id":86008,"text":"Natural Heritage and Endangered Species Program","active":true,"usgs":false}],"preferred":false,"id":952160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinones, Rebecca M.","contributorId":120271,"corporation":false,"usgs":true,"family":"Quinones","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":952161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Jennifer B.","contributorId":359344,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":952162,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swartz, Beth I.","contributorId":364001,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","middleInitial":"I.","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952163,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271439,"text":"70271439 - 2025 - Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources","interactions":[],"lastModifiedDate":"2025-09-15T14:10:51.273265","indexId":"70271439","displayToPublicDate":"2025-09-09T09:07:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":926,"text":"Atmospheric Measurement Techniques","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources","docAbstract":"This study evaluates the performance of a rigid gas flux chamber equipped with a mass flow meter (MFM) for measuring gas emissions from leaking orphan wells and similar pressure-driven gas point sources. We conducted a series of laboratory and field experiments to evaluate the sensitivity, stability, and dynamic range of an MFM chamber system and found an optimal method for sealing the chamber to the ground to isolate the emission source. From these results, we estimate the effects of different soil gas permeabilities on measurements and identify the uncertainty of environmental processes that can impact measurements. Simulations of an MFM chamber are compared to those of a dynamic flux chamber to contrast the data derived with both methodologies and illustrate the potential for measuring high variability leaks with the MFM chamber. Using a low flow resistance MFM and a chamber well-sealed to the ground, it is possible to measure leaks down to 1.08 x 10-3 cubic meters per hour (m3 h−1) (refenced to 25°/1 atm), corresponding to 0.77 grams per hour (g h−1) methane or 2.11 g h−1 carbon dioxide, with a mean uncertainty of 0.89 % relative standard deviation. Environmental processes such as heated gas inside the chamber from solar gain, wind blowing across the chamber vent, and changing humidity in the chamber, can cause variation in MFM measurements. Over 11 d of continuous monitoring under varying weather conditions, the standard deviation of the environmentally sourced signals was found to be 7.40 x 10-3 m3 h−1 (equivalent to or 5.27 g h−1 methane or 14.45 g h−1 carbon dioxide). Strategies to obtain the highest quality data from MFM chambers include burying the edges of the chamber below the surface sufficiently deep to seal the chamber edges against gas flow and soaking the dirt with water to lower the chances of escaping gases, while monitoring the gas flow and adjusting the chamber seal to achieve a maximum flow rate.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/amt-18-4207-2025","usgsCitation":"Haase, K., and Gianoutsos, N.J., 2025, Evaluating mass flow meter measurements from chambers for greenhouse gas emissions from orphan wells and other point sources: Atmospheric Measurement Techniques, v. 18, p. 4207-4226, https://doi.org/10.5194/amt-18-4207-2025.","productDescription":"20 p.","startPage":"4207","endPage":"4226","ipdsId":"IP-174760","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":495731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/amt-18-4207-2025","text":"Publisher Index Page"},{"id":495492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":205943,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":948759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":948760,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273998,"text":"70273998 - 2025 - Non-lethal detection of Renibacterium salmoninarum in Greenback Cutthroat Trout Oncorhynchus clarkii stomias comparing mucus, blood, and ovarian fluid samples to kidney tissues","interactions":[],"lastModifiedDate":"2026-02-25T14:31:06.650676","indexId":"70273998","displayToPublicDate":"2025-09-09T08:38:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Non-lethal detection of Renibacterium salmoninarum in Greenback Cutthroat Trout Oncorhynchus clarkii stomias comparing mucus, blood, and ovarian fluid samples to kidney tissues","title":"Non-lethal detection of Renibacterium salmoninarum in Greenback Cutthroat Trout Oncorhynchus clarkii stomias comparing mucus, blood, and ovarian fluid samples to kidney tissues","docAbstract":"Objective
Renibacterium salmoninarum, the causative agent of bacterial kidney disease, poses a major threat to both wild and aquaculture salmonid populations. Traditional detection methods typically involve lethal sampling to collect kidney tissues but are often impractical for species of conservation concern. This study evaluates nonlethal sampling techniques for detecting R. salmoninarum in Greenback Cutthroat Trout Oncorhynchus clarkii stomias by comparing mucus, blood, and ovarian fluid samples to conventional kidney tissue.
Methods
During the 2019 spawning season, we collected samples from 781 adult fish and tested for R. salmoninarum via direct fluorescent antibody test (DFAT) and quantitative polymerase chain reaction (qPCR).
Results
A total of 25 and 256 kidney tissues were positive by DFAT and qPCR, respectively. Of the three nonlethal samples tested, mucus swabs showed the highest percent correlation for detection with positive kidney tissues (DFAT = 47.6%, qPCR = 41.7%). Blood and ovarian fluid samples showed a lower percent correlation with positive kidney tissues (blood: DFAT = 12.0%, qPCR = 1.2%; ovarian fluid: DFAT = 12.5%, qPCR = 21.4%).
Conclusions
Our results suggest that nonlethal mucus swabbing could serve as a practical alternative for monitoring R. salmoninarum, especially in conservation efforts where minimizing fish mortality is critical.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jahafs/vsaf013","collaboration":"Colorado Parks and Wildlife","usgsCitation":"Tawni, F.B., Fetherman, E.R., Winkelman, D.L., 2025, Non-lethal detection of Renibacterium salmoninarum in Greenback Cutthroat Trout Oncorhynchus clarkii stomias comparing mucus, blood, and ovarian fluid samples to kidney tissues: Journal of Aquatic Animal Health, v. 37, no. 4, p. 192-198, https://doi.org/10.1093/jahafs/vsaf013.","productDescription":"7 p.","startPage":"192","endPage":"198","ipdsId":"IP-177786","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500835,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jahafs/vsaf013","text":"Publisher Index Page"},{"id":500407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Parks and Wildlife Poudre Rearing Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.12260150413303,\n 40.98121418795711\n ],\n [\n -109.12260150413303,\n 37.019295224941985\n ],\n [\n -102.05306903469565,\n 37.019295224941985\n ],\n [\n -102.05306903469565,\n 40.98121418795711\n ],\n [\n -109.12260150413303,\n 40.98121418795711\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Tawni, Firestone B.R.","contributorId":366599,"corporation":false,"usgs":false,"family":"Tawni","given":"Firestone","middleInitial":"B.R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetherman, Eric R.","contributorId":366600,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric","middleInitial":"R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":956082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956083,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ]}