Mass mortality of Diadematidae urchins, caused by the Diadema antillarum scuticociliatosis Philaster clade (DScPc), affected the Caribbean in spring 2022 and subsequently spread to the eastern Mediterranean, Red Sea, and western Indian Ocean. A key question around Diadematidae scuticociliatosis (DSc), the disease caused by the scuticociliate, is whether the urchin microbiome varies between scuticociliatosis-affected and grossly normal urchins. Tissue samples from both grossly normal and abnormal Diadema antillarum were collected in the field during the initial assessment of the DSc causative agent and from an experimental challenge of DScPc culture on aquacultured D. antillarum. Specimens were analyzed using 16S rRNA gene amplicon sequencing. Additional abnormal urchin samples were collected from the most recent outbreak site in the western Indian Ocean (Réunion Island). At reference (i.e., unaffected by DSc) sites, Kistimonas spp., Propionigenium spp., and Endozoicomonas spp. were highly represented in amplicon libraries. DSc-affected urchin amplicon libraries had lower taxonomic richness and a greater representation of taxa related to Fangia hongkongensis and Psychrobium spp. Amplicon libraries of urchins experimentally challenged with the DSc pathogen had some shifts in microbial composition, but F. hongkongensis was not a part of the core bacteria in DSc-challenged specimens. DSc-affected Echinothrix diadema from Réunion Island showed a similar high representation of F. hongkongensis as that seen on Caribbean D. antillarum. Our results suggest that DSc alters Diadematidae microbiomes and that F. hongkongensis may be a candidate bacterial biomarker for DSc in environmental samples. The mechanism driving microbiome variation in host–pathogen interactions remains to be explored.
","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/msystems.01418-24","usgsCitation":"Vilanova-Cuevas, B., DeRito, C.M., Ritchie, I.T., Kellogg, C.A., Evans, J.S., Zimmermann, A., Williams, S.M., Brandt, M.E., Sevier, M.L., Gittens, S., Budd, K.A., Warham, M., Sharp, W.C., Delgado, G.A., Hylkema, A., Kitson-Walters, K.A., Quod, J., Breitbart, M., and Hewson, I., 2025, Investigating the influence of Diadematidae scuticociliatosis on host microbiome composition: mSystems, v. 10, e01418-24, 14 p., https://doi.org/10.1128/msystems.01418-24.","productDescription":"e01418-24, 14 p.","ipdsId":"IP-170656","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489953,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msystems.01418-24","text":"Publisher Index Page"},{"id":482330,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Vilanova-Cuevas, Brayan","contributorId":304387,"corporation":false,"usgs":false,"family":"Vilanova-Cuevas","given":"Brayan","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeRito, Christopher M.","contributorId":260783,"corporation":false,"usgs":false,"family":"DeRito","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Isabella T.","contributorId":304353,"corporation":false,"usgs":false,"family":"Ritchie","given":"Isabella","email":"","middleInitial":"T.","affiliations":[{"id":39241,"text":"College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":928064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":928080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, James S. 0000-0002-9977-1627 jsevans@usgs.gov","orcid":"https://orcid.org/0000-0002-9977-1627","contributorId":279528,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jsevans@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":928068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmermann, Alizee","contributorId":304395,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Alizee","email":"","affiliations":[{"id":66053,"text":"Turks & Caicos Reef Fund","active":true,"usgs":false}],"preferred":false,"id":928065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Stacey M.","contributorId":304392,"corporation":false,"usgs":false,"family":"Williams","given":"Stacey","email":"","middleInitial":"M.","affiliations":[{"id":66051,"text":"Institute for Socio-Ecological Research, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":928067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brandt, Marilyn E.","contributorId":171794,"corporation":false,"usgs":false,"family":"Brandt","given":"Marilyn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":928069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sevier, Moriah L. 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In the present study, validated assays for plasma corticosterone, free thyroxine (fT4), and aldosterone were used to assess the endocrine status of 61 presumed healthy, wild Kemp's ridley sea turtles (Lepidochelys kempii) that were captured for separate ecological studies using two capture methods (trawl net n = 40; manual capture n = 21). Plasma hormone concentrations were also assessed in relation to eight clinical plasma biochemical analytes. Corticosterone and aldosterone concentrations were moderately high after capture, with significantly higher concentrations in turtles captured by trawl net vs. manual capture. Free thyroxine concentrations were within previously published ranges for healthy individuals of this species. Clinical biochemical data revealed moderately elevated potassium and lactate concentrations in many individuals, with significantly greater lactate concentrations in trawl-captured turtles. Aldosterone concentrations were positively correlated with corticosterone. The results of the present study indicate that Kemp's ridley sea turtles have robust adrenocortical activity immediately after capture, resulting in high plasma concentrations of corticosterone and aldosterone. Researchers who use such methods to access sea turtles can consider these results in planning careful and efficient field studies.
","language":"English","publisher":"MDPI","doi":"10.3390/ani15040600","usgsCitation":"Innis, C.J., Graham, K., Mott, C.R., Hart, K., Roche, D., Cherkiss, M., and Burgess, E., 2025, Not just corticosterone: Further characterization of the endocrine response of Kemp’s ridley sea turtles (Lepidochelys kempii) reveals elevated plasma aldosterone concentrations during field capture events: Animals, v. 15, no. 4, 600, 12 p., https://doi.org/10.3390/ani15040600.","productDescription":"600, 12 p.","ipdsId":"IP-172044","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":487745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani15040600","text":"Publisher Index Page"},{"id":483050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.70557649872961,\n 30.010739238547117\n ],\n [\n -92.00116115306747,\n 28.339002561929632\n ],\n [\n -82.86230511121795,\n 28.277917524081474\n ],\n [\n -82.85674465474287,\n 29.15185303305006\n ],\n [\n -84.02866560881175,\n 30.139029913622593\n ],\n [\n -85.6277919394617,\n 29.59516287623463\n ],\n [\n -86.1440236623925,\n 30.300606706908166\n ],\n [\n -88.25369972273643,\n 30.00606334692438\n ],\n [\n -88.6098267088585,\n 30.51137384092631\n ],\n [\n -93.70557649872961,\n 30.010739238547117\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Innis, Charles J.","contributorId":117805,"corporation":false,"usgs":false,"family":"Innis","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":929969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Katherine M.","contributorId":352061,"corporation":false,"usgs":false,"family":"Graham","given":"Katherine M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mott, Cody R.","contributorId":331398,"corporation":false,"usgs":false,"family":"Mott","given":"Cody","email":"","middleInitial":"R.","affiliations":[{"id":79198,"text":"Inwater Research Group, Jensen Beach, FL","active":true,"usgs":false}],"preferred":false,"id":929971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":929972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roche, David 0000-0002-3329-2746 droche@usgs.gov","orcid":"https://orcid.org/0000-0002-3329-2746","contributorId":204332,"corporation":false,"usgs":true,"family":"Roche","given":"David","email":"droche@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":true,"id":929973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":929974,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burgess, Elizabeth A.","contributorId":352063,"corporation":false,"usgs":false,"family":"Burgess","given":"Elizabeth A.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929975,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273877,"text":"70273877 - 2025 - What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores","interactions":[],"lastModifiedDate":"2026-02-11T14:55:48.532321","indexId":"70273877","displayToPublicDate":"2025-02-19T07:50:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores","docAbstract":"Herbivores are commonly classified as host specialists or generalists for various purposes, yet the definitions of these terms, and their intermediates, are often imprecise and ambiguous. We quantified host breadth for 240 non-native, tree-feeding insects in North America using phylogenetic diversity. We demonstrated that a partitioning of host breadth: (1) causes 67% of non-native insects to shift from a generalist to specialist category, (2) displays a reduction in host breadth from the native to introduced range, (3) identifies an inflection point in a model predicting the likelihood of non-native insect ecological impact, with a corresponding change in behaviour associated with specialists versus generalists, and (4) enables three models for strong prediction of whether a non-native forest insect will cause high impacts. Together, these results highlight the primacy of how herbivore host recognition and plant defences mediate whether novel host interactions will result in high impact after invasion.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.70083","usgsCitation":"Schulz, A.N., Havill, N.P., Marsico, T.D., Ayres, M.P., Gandhi, K.J., Herms, D.A., Hoover, A., Hufbauer, R.A., Liebhold, A.M., Raffa, K.F., Thomas, K.A., Tobin, P.C., Uden, D.R., and Mech, A.M., 2025, What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores: Ecology Letters, v. 28, no. 2, e70083, 12 p., https://doi.org/10.1111/ele.70083.","productDescription":"e70083, 12 p.","ipdsId":"IP-158243","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -182.681888554713,\n 53.85389979192047\n ],\n [\n -118.28676622689468,\n 32.88061586567801\n ],\n [\n -98.02837651680895,\n 26.779616505270788\n ],\n [\n -78.36191912659696,\n 24.831321950270947\n ],\n [\n -51.957456444544675,\n 47.112649634321606\n ],\n [\n -64.21831161600105,\n 60.73216659039127\n ],\n [\n -118.7391214000643,\n 70.7115126428508\n ],\n [\n -163.08695093879513,\n 72.42372463033631\n ],\n [\n -182.681888554713,\n 53.85389979192047\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, Ashley N.","contributorId":366147,"corporation":false,"usgs":false,"family":"Schulz","given":"Ashley","middleInitial":"N.","affiliations":[{"id":87367,"text":"Mississippi State University, Department of Forestry, Box 9681, Mississippi State, MS 39762, USA","active":true,"usgs":false}],"preferred":false,"id":955359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havill, Nathan P.","contributorId":366148,"corporation":false,"usgs":false,"family":"Havill","given":"Nathan","middleInitial":"P.","affiliations":[{"id":87368,"text":"USDA Forest Service Northern Research Station, 51 Mill Pond Rd., Hamden, CT 06514, USA","active":true,"usgs":false}],"preferred":false,"id":955360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsico, Travis D.","contributorId":366149,"corporation":false,"usgs":false,"family":"Marsico","given":"Travis","middleInitial":"D.","affiliations":[{"id":87369,"text":"Arkansas State University, Department of Biological Sciences, PO Box 599, State University, AR 72467, USA","active":true,"usgs":false}],"preferred":false,"id":955361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayres, Matthew P.","contributorId":366150,"corporation":false,"usgs":false,"family":"Ayres","given":"Matthew","middleInitial":"P.","affiliations":[{"id":87370,"text":"Dartmouth College, Department of Biological Sciences, 78 College Street, Hanover, NH 03755, USA","active":true,"usgs":false}],"preferred":false,"id":955362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gandhi, Kamal J.K.","contributorId":366151,"corporation":false,"usgs":false,"family":"Gandhi","given":"Kamal","middleInitial":"J.K.","affiliations":[{"id":87371,"text":"The University of Georgia, Daniel B. 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Within organismal movement trajectories, different combinations of residence and movement are predicted from existing ecological theories (e.g. long distance migration, site fidelity, central place foraging, ideal free distribution, habitat shifts). However, testing these conceptually-based, spatially-explicit hypotheses about animal movement and migration in the field can be logistically challenging. Here our purpose is to introduce Resmo, a framework of metrics and analyses that integrate site-specific RESidence and across-site MOvements. We illustrate the ecological insights from this framework using the empirical example of coastal Striped Bass (Morone saxatilis) during their seasonal feeding migration. Our use of site-specific Resmo applied to empirical telemetry data enhanced the understanding of feeding behavior of migratory fish, suggested testable ecologically-meaningful hypotheses about foraging, and identified criteria on which to base the selection of future sampling locations. In summary, the Resmo approach provides a useful new direction for thinking about animal migration, animal movement, biological conservation, and future priorities for empirical field data collection related to understanding the distribution of mobile organisms.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-79627-1","usgsCitation":"Mather, M.E., Taylor, R.B., Smith, J., and Boles, K., 2025, Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations: Scientific Reports, v. 15, 5951, 17 p., https://doi.org/10.1038/s41598-024-79627-1.","productDescription":"5951, 17 p.","ipdsId":"IP-167462","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-79627-1","text":"Publisher Index Page"},{"id":484860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryland B.","contributorId":288583,"corporation":false,"usgs":false,"family":"Taylor","given":"Ryland","email":"","middleInitial":"B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":287830,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":934219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boles, Kayla M.","contributorId":288585,"corporation":false,"usgs":false,"family":"Boles","given":"Kayla M.","affiliations":[{"id":13409,"text":"Kentucky Department of Fish & Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":934220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263568,"text":"fs20243047 - 2025 - Assessment of undiscovered conventional oil and gas resources of the Greater Caspian area, 2022","interactions":[],"lastModifiedDate":"2025-02-19T21:26:13.636197","indexId":"fs20243047","displayToPublicDate":"2025-02-18T11:50:00","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":"2024-3047","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Greater Caspian Area, 2022","title":"Assessment of undiscovered conventional oil and gas resources of the Greater Caspian area, 2022","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 34.3 billion barrels of oil and 320 trillion cubic feet of gas in the Greater Caspian area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243047","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Finn, T.M., 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 the Greater Caspian area, 2022: U.S. Geological Survey Fact Sheet 2024–3047, 4 p., https://doi.org/10.3133/fs20243047.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-158278","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":482228,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3047"},{"id":482044,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GJMAQ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Greater Caspian Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":482043,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3047/fs20243047.pdf","text":"Report","size":"1.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3047"},{"id":482042,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3047/coverthb.jpg"},{"id":482173,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3047/images"},{"id":482174,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3047/fs20243047.xml"}],"otherGeospatial":"Greater Caspian area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 28.39226365171521,\n 51.73369090023991\n ],\n [\n 28.39226365171521,\n 35.30642895820323\n ],\n [\n 60.11138073113173,\n 35.30642895820323\n ],\n [\n 60.11138073113173,\n 51.73369090023991\n ],\n [\n 28.39226365171521,\n 51.73369090023991\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Information about what ecological conditions are likely, causes or drivers of degradation, and potential management actions to restore degraded lands may support land conservation and restoration decisions. State-and-transition models (STMs) describe persistent plant and ecological conditions that are possible (the “state”) within a given abiotic setting and drivers or actions that can cause shifts between states (the “transitions”). These primarily conceptual models are widely used to inform resource and conservation decisions. Data-driven STMs have been developed for some lands, but not at regional or national scales. Here, we demonstrate a new repeatable workflow for developing data-driven STMs in the United States (US). The approach leverages predictive maps of Ecological Site Groups (ESGs), extensive field-based Federal monitoring databases, information from Ecological Site Description (ESD) STMs, soil erosion models, remotely sensed productivity, and other available spatial information (fire, land protection, and drought) to provide context and descriptions of the data-driven states, including likely drivers of transitions. Results of this workflow applied to one dryland ESG in the Upper Colorado River Basin in the southwestern US suggest that an Invaded state (16% of 1352 plots) and some occurrences of a Grassland state (30% of plots) are in a degraded or at-risk condition with reduced ecosystem services. The most common drivers of state transitions in the associated ESDs (n = 26) are related to livestock grazing and fire. The Invaded state in the ESG has evidence of degraded habitat quality and accelerated run-off while the Grassland state occurrences show reduced richness, productivity, and elevated erosion risk by wind. Areas subject to wildfire and with lower protection status had greater probability of Invaded state occurrence, generally supporting drivers in ESDs. The workflow presented here can serve as a template for describing ecological dynamics at regional scales, and support prioritization of land for conservation and climate adaptation activities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.12.006","usgsCitation":"Duniway, M.C., Knight, A.C., Nauman, T., Bishop, T., McCord, S.E., Webb, N.P., Williams, C., and Humphries, J.T., 2025, Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups: Rangeland Ecology & Management, v. 99, p. 119-142-142, https://doi.org/10.1016/j.rama.2024.12.006.","productDescription":"24 p.","startPage":"119-142","endPage":"142","ipdsId":"IP-158948","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.12.006","text":"Publisher Index Page"},{"id":484842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nauman, Travis W.","contributorId":310519,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis W.","affiliations":[{"id":67201,"text":"USDA-NRCS National Soil Survey Center, 2290 SW Resource Blvd., Moab, UT, 84532, USA","active":true,"usgs":false}],"preferred":false,"id":934068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":934069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":934070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":934071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":934072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Humphries, Joel T.","contributorId":270937,"corporation":false,"usgs":false,"family":"Humphries","given":"Joel","email":"","middleInitial":"T.","affiliations":[{"id":56221,"text":"US Bureau of Land Management, Colorado State Office, Lakewood, CO 80215, USA","active":true,"usgs":false}],"preferred":false,"id":934073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264360,"text":"70264360 - 2025 - Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado","interactions":[],"lastModifiedDate":"2025-04-17T15:36:43.417614","indexId":"70264360","displayToPublicDate":"2025-02-18T08:43:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20209,"text":"Mining, Metallurgy and Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado","docAbstract":"The Paradox Basin’s Sinbad seep is a modern analog for ancient bleaching of red bed sediments by introduced alkaline, reducing brines. This bleaching, involving reductive alteration of former red beds, is essential ground preparation that enables the altered rocks to trap Cu, U, and V from later oxidized fluids, forming ore deposits. Study of Sinbad thus offers insights into these metallic mineralization processes in the Paradox and other sedimentary basins. The Sinbad seep occurs where shallow groundwater interacts with organic-rich petroleum source rocks, flows up a fault, and discharges into Salt Creek. Ratios of Na/Cl, Na/Br, and Cl/Br, plus high sulfate concentrations, indicate that the salinity of the seep water originated from dissolution of halite and gypsum during topographically driven flow of meteoric water across a diapir of the Pennsylvanian Paradox Formation, rather than from deep basinal brines. In contact with the organic-rich shales of the Paradox, these SO4-rich waters become reduced through bacterial reduction, producing H2S. The waters react with red beds of the Permian Cutler Formation, causing pervasive bleaching. The bleaching at Sinbad is characterized by iron-conservative reduction of ferric iron in diagenetic hematite and detrital ilmenite and magnetite to Fe sulfides. The ferrous iron is retained in these sulfides likely as sorbed Fe. Associated alteration includes precipitation of quartz and feldspar overgrowths, partial dissolution of detrital quartz and feldspar caused by pressure solution, formation of clay and authigenic rutile, and precipitation of carbonate and gypsum. The Fe sulfides rapidly degenerate to a mixture of jarosite and iron oxides on weathering at the surface. Among the major-oxide elements and most trace elements, there is no statistical difference between unbleached and bleached samples. The exceptions are uranium and sulfur, which are somewhat greater in bleached samples. Fission track radiography illuminates that uranium is preferentially concentrated in iron oxide cements, iron sorbed into detrital clasts, and finely disseminated iron oxide in illite cement in bleached samples. A leaching experiment suggests that uranium may be more easily available for mobilization from rocks that have undergone bleaching alteration, making them potential U sources. In addition, bleached rocks form effective traps for U, V, and some Cu mineralization.
","language":"English","publisher":"Springer","doi":"10.1007/s42461-025-01184-6","usgsCitation":"Barton, I., Thorson, J., Hall, S., Zielinski, R.A., McIntosh, J., and Kim, J., 2025, Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado: Mining, Metallurgy and Exploration, v. 42, p. 1177-1197, https://doi.org/10.1007/s42461-025-01184-6.","productDescription":"21 p.","startPage":"1177","endPage":"1197","ipdsId":"IP-159441","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":483229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Mesa County","otherGeospatial":"Sinbad 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Isabel","contributorId":352254,"corporation":false,"usgs":false,"family":"Barton","given":"Isabel","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorson, Jon P.","contributorId":352255,"corporation":false,"usgs":false,"family":"Thorson","given":"Jon P.","affiliations":[{"id":36466,"text":"Consulting Geologist","active":true,"usgs":false}],"preferred":false,"id":930519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Susan 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":201829,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":930520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":930521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIntosh, Jennifer","contributorId":352256,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930522,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Ji-Hyun","contributorId":352257,"corporation":false,"usgs":false,"family":"Kim","given":"Ji-Hyun","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930523,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264318,"text":"70264318 - 2025 - Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces","interactions":[],"lastModifiedDate":"2025-07-09T15:57:43.400612","indexId":"70264318","displayToPublicDate":"2025-02-18T07:58:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces","docAbstract":"Models for crustal growth commonly involve the accretion of dominantly juvenile crust to continental margins. However, tracking the provenance and tectonic affinity of dominantly juvenile crustal provinces is challenging. This difficulty is highlighted by uncertainty over whether the Yavapai and Mojave Provinces, part of the >1300-km-wide system of Proterozoic orogens in southwestern Laurentia, (1) have similar crustal and tectonic histories and (2) if they formed on or near Laurentian, Australian, or Antarctic cratons. Here, we contribute new large-n detrital zircon U-Pb geochronology and Sm-Nd whole-rock isotope geochemistry to help constrain the provenance of the Yavapai Province and address these broader questions. Yavapai Province metasedimentary rocks from central Colorado in the southwestern USA have abundant pre-1.80 Ga detrital zircon grains, with ca. 1.85 Ga, 2.30 Ga, and 2.50−2.70 Ga peaks, and variable amounts of 1.79−1.78 Ga grains. Evolved whole-rock Sm-Nd isotopic compositions from these rocks, including 2.36−2.08 Ga model ages, also suggest mixing between 1.79 Ga and 1.78 Ga Yavapai Province arcs and early Proterozoic to Archean sources. Nearly identical pre-1.8 Ga detrital and inherited zircon age distributions suggest that the Yavapai and Mojave Provinces formed on and/or incorporated similar material. The Trans-Hudson orogen, and to a slightly lesser extent the Penokean orogen, provide the closest matches to the pre-1.80 Ga material in the Yavapai and Mojave Provinces. This similarity, coupled with a weaker resemblance to Australian and Antarctic sources, support a Laurentian affinity for the Yavapai and Mojave Provinces. We envision Paleoproterozoic arc formation on both oceanic crust and material of Laurentian affinity and multiple phases of arc-back-arc genesis, closure, and accretionary tectonism along the long-lived margin of the supercontinent Columbia (Nuna).
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37882.1","usgsCitation":"Hillenbrand, I.W., Gilmer, A.K., Premo, W.R., Williams, M.L., and Jercinovic, M.J., 2025, Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces: Geological Society of America Bulletin, v. 137, no. 7-8, p. 2965-2981, https://doi.org/10.1130/B37882.1.","productDescription":"17 p.","startPage":"2965","endPage":"2981","ipdsId":"IP-167810","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":483199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Idaho, New Mexico, Utah, Wyoming","otherGeospatial":"southwest United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.95423255032217,\n 42.82922329789568\n ],\n [\n -113.95423255032217,\n 31.615412012487866\n ],\n [\n -102.42220824721481,\n 31.615412012487866\n ],\n [\n -102.42220824721481,\n 42.82922329789568\n ],\n [\n -113.95423255032217,\n 42.82922329789568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"137","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2025-02-18","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":930412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":930413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":930414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":930415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":930416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263851,"text":"70263851 - 2025 - Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus)","interactions":[],"lastModifiedDate":"2025-04-17T15:32:18.845464","indexId":"70263851","displayToPublicDate":"2025-02-17T15:20:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus)","title":"Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus)","docAbstract":"Enhancing gene flow through translocations can be a useful tool in recovering small and isolated populations. However, it is not devoid of genetic risks, such as outbreeding depression in future generations, that can have negative consequences in terms of the establishment and mean fitness of the population. Studies that monitor the long-term effects of genetic rescue on populations in the wild are few, especially for snakes. We used long-term genetic monitoring and body condition indices to investigate the consequences of conservation translocation and genetic admixture in a Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus) wild population. We compared genetic diversity and fitness metrics among the source and recipient populations to evaluate individual- and population-level fitness responses related to the conservation translocation. Our study found persistent captures with continued monitoring for over a decade post-release, and the recipient population showed lower inbreeding values and an increase in heterozygosity that was 19% higher than the two source populations. Snakes sampled in the recipient population had higher individual heterozygosity and body condition than those in the extant source and reference populations. Further, Bayesian regression models supported a significant positive relationship between heterozygosity and body condition after accounting for among-site differences, suggesting that efforts to increase heterozygosity can improve mean fitness in these populations. Our study highlights the potential benefits of conservation translocation from multiple source populations to restore the distribution and increase heterozygosity and population fitness of this threatened gartersnake. Alongside ecological restoration, translocation programs could be used to ensure both the persistence and resilience of populations throughout the species’ range.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-025-01677-3","usgsCitation":"Wood, D.A., Christman, B.L., Jennings, R., Rose, J.P., Nowak, E.M., Schofer, J., and Vandergast, A.G., 2025, Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus): Conservation Genetics, v. 26, p. 403-418, https://doi.org/10.1007/s10592-025-01677-3.","productDescription":"16 p.","startPage":"403","endPage":"418","ipdsId":"IP-172385","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488336,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01677-3","text":"Publisher Index Page"},{"id":482512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.04554823680535,\n 33.80117748726563\n ],\n [\n -109.04554823680535,\n 33.35048803691312\n ],\n [\n -108.38767728510955,\n 33.35048803691312\n ],\n [\n -108.38767728510955,\n 33.80117748726563\n ],\n [\n -109.04554823680535,\n 33.80117748726563\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christman, Bruce L.","contributorId":207392,"corporation":false,"usgs":false,"family":"Christman","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Randy D.","contributorId":351489,"corporation":false,"usgs":false,"family":"Jennings","given":"Randy D.","affiliations":[{"id":83996,"text":"Western New Mexico University","active":true,"usgs":false}],"preferred":false,"id":928678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, Erika M.","contributorId":207510,"corporation":false,"usgs":false,"family":"Nowak","given":"Erika","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":928680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schofer, Justin","contributorId":351490,"corporation":false,"usgs":false,"family":"Schofer","given":"Justin","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":928681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70266858,"text":"70266858 - 2025 - Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","interactions":[],"lastModifiedDate":"2025-05-13T15:50:11.018065","indexId":"70266858","displayToPublicDate":"2025-02-17T10:41:10","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":"Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","docAbstract":"Understanding the geodynamics of plateau evolution requires examining the spatial and temporal aspects of mountain building in the northeastern Tibetan Plateau, which are still under debate. Here we integrate apatite geo-thermochronological and geochemical data from the Oligocene-Miocene succession of the Xunhua Basin to elucidate the evolution of the regional topography. The results suggest sediment provenance changes, at ca. 28, 20 and 12 Ma, indicating topographic growth of the West Qinling, Laji Shan, and Jishi Shan source areas, respectively. Our findings reveal Oligocene-Miocene stepwise deformation and middle Miocene stress reorganization within the northeastern Tibetan Plateau. We attribute this to Oligocene lithospheric foundering beneath the south-central Tibetan Plateau and the middle Miocene initiation of sinistral strike-slip faults due to the underthrusting of India and North China. This study highlights the roles of lithospheric removal and continental underthrusting in plateau growth, and the value of multi-proxy apatite analyses in provenance studies.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113157","usgsCitation":"Guo, C., Zhang, Z., Lease, R.O., Malusa, M., Chew, D., Lu, H., Wu, L., Xiang, D., Wang, N., Grasemann, B., and Xiao, W., 2025, Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau: Geophysical Research Letters, v. 52, no. 4, e2024GL113157, 12 p., https://doi.org/10.1029/2024GL113157.","productDescription":"e2024GL113157, 12 p.","ipdsId":"IP-150325","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113157","text":"Publisher Index Page"},{"id":485824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Northeastern Tibetan Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 101,\n 37\n ],\n [\n 101,\n 35\n ],\n [\n 103.5,\n 35\n ],\n [\n 103.5,\n 37\n ],\n [\n 101,\n 37\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Chao","contributorId":355157,"corporation":false,"usgs":false,"family":"Guo","given":"Chao","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Zhiyong","contributorId":355158,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhiyong","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":936948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malusa, Marco","contributorId":355160,"corporation":false,"usgs":false,"family":"Malusa","given":"Marco","affiliations":[{"id":84720,"text":"University of Milano","active":true,"usgs":false}],"preferred":false,"id":936950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chew, David","contributorId":355159,"corporation":false,"usgs":false,"family":"Chew","given":"David","affiliations":[{"id":61788,"text":"Trinity College Dublin","active":true,"usgs":false}],"preferred":false,"id":936949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Haijian","contributorId":355161,"corporation":false,"usgs":false,"family":"Lu","given":"Haijian","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Lin","contributorId":355162,"corporation":false,"usgs":false,"family":"Wu","given":"Lin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xiang, Dunfeng","contributorId":355163,"corporation":false,"usgs":false,"family":"Xiang","given":"Dunfeng","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936953,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Nan","contributorId":355164,"corporation":false,"usgs":false,"family":"Wang","given":"Nan","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936954,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grasemann, Bernhard","contributorId":355165,"corporation":false,"usgs":false,"family":"Grasemann","given":"Bernhard","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":936955,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xiao, Wenjiao","contributorId":355166,"corporation":false,"usgs":false,"family":"Xiao","given":"Wenjiao","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936956,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70266086,"text":"70266086 - 2025 - Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes","interactions":[],"lastModifiedDate":"2025-05-12T15:47:36.606655","indexId":"70266086","displayToPublicDate":"2025-02-17T10:08:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes","docAbstract":"As part of the Great Lakes Restoration Initiative, chemical monitoring and surveillance efforts have detected approximately 330 chemicals in surface water of Great Lakes tributaries. There were 140 chemicals for which no empirical toxicity data were available. The aim of this study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how they could be applied in a screening-level prioritization. Organisms representing three trophic levels of the aquatic food web (Pimephales promelas, Daphnia magna, and Raphidocelis subcapitata) were exposed for 24 hr to a half-log dilution series of nominal exposure concentrations typically ranging from 66.7–0.021 µM of each chemical. In addition to observations of apical effects (e.g., survival and morphology), whole body transcriptomic responses (tPODs) to each chemical were evaluated with targeted analysis using TempO-seq for P. promelas and D. magna and nontargeted RNA-seq for R. subcapitata. The tPODs ranged from 0.18–10.8 µM for P. promelas and 0.32–29 µM for D. magna, with the most potent of the chemicals tested being fipronil carboxamide for both species. For R. subcapitata, the tPODs ranged from 0.04–1.77 µM, with gabapentin as the most potent chemical tested. Empirically derived tPODs from these data-poor chemicals were compared with concentrations detected in the Great Lakes basin. Environmental concentrations were less than the tPODs except for R. subcapitata and 3,4-dichlorophenyl isocyanate. Similarly, tPODs from previously tested data-rich chemicals were compared with environmental concentrations, in which case tPODs from several chemicals overlapped environmental concentrations. This work demonstrates the potential utility of emerging ecological high-throughput transcriptomics assays to support screening and prioritization of data-poor environmental contaminants.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf050","usgsCitation":"Jenna Cavallin, Kendra Bush, Corsi, S., DeCicco, L., Kevin Flynn, Alex Kasparek, Monique Hazimi, Erin Maloney, Peter Schuman, and Daniel Villeneuve, 2025, Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes: Environmental Toxicology and Chemistry, v. 44, no. 5, p. 1310-1321, https://doi.org/10.1093/etojnl/vgaf050.","productDescription":"12 p.","startPage":"1310","endPage":"1321","ipdsId":"IP-167135","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":484984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenna Cavallin","contributorId":353840,"corporation":false,"usgs":false,"family":"Jenna Cavallin","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendra Bush","contributorId":353841,"corporation":false,"usgs":false,"family":"Kendra Bush","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCicco, Laura 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":215381,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kevin Flynn","contributorId":353846,"corporation":false,"usgs":false,"family":"Kevin Flynn","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alex Kasparek","contributorId":353847,"corporation":false,"usgs":false,"family":"Alex Kasparek","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":934554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monique Hazimi","contributorId":353850,"corporation":false,"usgs":false,"family":"Monique Hazimi","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erin Maloney","contributorId":353852,"corporation":false,"usgs":false,"family":"Erin Maloney","affiliations":[{"id":34699,"text":"University of Minnesota-Duluth","active":true,"usgs":false}],"preferred":false,"id":934556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peter Schuman","contributorId":353856,"corporation":false,"usgs":false,"family":"Peter Schuman","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daniel Villeneuve","contributorId":353857,"corporation":false,"usgs":false,"family":"Daniel Villeneuve","affiliations":[],"preferred":false,"id":934558,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70264973,"text":"70264973 - 2025 - Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets","interactions":[],"lastModifiedDate":"2025-03-27T15:05:02.687084","indexId":"70264973","displayToPublicDate":"2025-02-17T09:57:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2451,"text":"Journal of Sedimentary Research","onlineIssn":"1938-3681","printIssn":"1527-1404","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets","docAbstract":"Although interbedded limestone–marl couplets in many hemipelagic and pelagic deposits have been commonly attributed to orbital-driven climate cycles, the driving mechanisms of these couplets remain largely controversial. This situation arises from the fact that detailed sedimentologic and petrographic facies characteristics of these fine-grained deposits have rarely been examined closely. In this study we conduct an integrated sedimentologic and petrographic analysis to disentangle causes of the limestone–marl bedding couplets in the Cenomanian–Turonian Bridge Creek Limestone Member (BCL) of the Greenhorn Formation using cores and outcrop near Pueblo, Colorado. By integrating existing geochemical datasets, each of the three general lithologies in the BCL including limestone, marl, and calcareous mudstone can be divided into two facies, a more bioturbated vs. a more laminated facies, in addition to bentonite beds. The variability in sedimentary, bioturbation, and petrographic characteristics of different sedimentary facies types, as well as constraints from the existing orbital time scale, in the BCL indicate changes in sediment accumulation rate or the amount of time recorded by different facies—the limestone, marl, and calcareous facies are interpreted to reflect increasing sedimentation rate. The sedimentary and petrographic facies variations, including but not limited to lithological alternations, in the BCL are interpreted to result from the combined influence of various processes such as bottom currents, bioturbation, early diagenesis, and episodic volcanic input, with some of the above-mentioned processes likely modulated by short-term relative changes in sea level. Results of this study highlight the need for detailed sedimentologic and petrographic studies and consideration of short-term changes in sedimentation rate to fully resolve the causes of the apparent limestone–marl bedding couplets and reliably reconstruct short-term changes in depositional and environmental conditions from the BCL and other similar successions.
","language":"English","publisher":"Society for Sedimentary Geology","doi":"10.2110/jsr.2024.121","usgsCitation":"Zhiyang Li, and Flaum, J.A., 2025, Reevaluating the depositional model of the Cenomanian–Turonian Bridge Creek Limestone Member near Pueblo, Colorado, U.S.A.: Roles of changing sedimentation rate on the formation of limestone–marl bedding couplets: Journal of Sedimentary Research, v. 95, no. 1, p. 186-208, https://doi.org/10.2110/jsr.2024.121.","productDescription":"23 p.","startPage":"186","endPage":"208","ipdsId":"IP-164103","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":483944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Pueblo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.30769287342653,\n 38.43186764103851\n ],\n [\n -105.18611920603225,\n 38.43186764103851\n ],\n [\n -105.18611920603225,\n 38.04895114213508\n ],\n [\n -104.30769287342653,\n 38.04895114213508\n ],\n [\n -104.30769287342653,\n 38.43186764103851\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhiyang Li","contributorId":352824,"corporation":false,"usgs":false,"family":"Zhiyang Li","affiliations":[{"id":84293,"text":"Texas A&M International University","active":true,"usgs":false}],"preferred":false,"id":932135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flaum, Jason A. 0000-0003-1251-1142","orcid":"https://orcid.org/0000-0003-1251-1142","contributorId":300809,"corporation":false,"usgs":true,"family":"Flaum","given":"Jason","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264428,"text":"70264428 - 2025 - Developing a probabilistic tsunami hazard assessment framework for Pacific sources: USGS Powell Center meeting summary","interactions":[],"lastModifiedDate":"2025-04-30T15:25:58.311102","indexId":"70264428","displayToPublicDate":"2025-02-17T09:46:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Developing a probabilistic tsunami hazard assessment framework for Pacific sources: USGS Powell Center meeting summary","docAbstract":"Multi-organizational principal investigators formed a U.S. Geological Survey (USGS) Powell Center Working Group (WG), Tsunami Source Standardization for Hazards Mitigation in the United States, to develop a comprehensive series of sources capable of generating tsunamis that could impact U.S. state and territory coastal areas using probabilistic tsunami hazard analysis (PTHA). PTHA results are commonly used to provide consistent tsunami hazard information for use in engineering and risk assessment and, to a lesser extent, hazard response planning. Following an initial weeklong planning meeting in April 2018, designed to establish the WG’s scope, a series of weeklong meetings devoted to aspects of tsunami hazards placed emphasis on assessment of various tsunami sources, including subduction zones in Alaska, the Atlantic and Caribbean, Cascadia, and the Pacific Basin, as well as landslides in Alaska, the Atlantic, and the Caribbean. The final meeting in the series discussed tsunami sources from crustal faults. These meetings, each with a regional geographic focus, were designed to incorporate reviews and feedback from subject matter experts (SMEs) in academia, private industry, and federal, state, and local governmental organizations. Incorporating consensus from SMEs is important because the results derived from the tsunami source models will be used to inform the public about potential hazards from tsunamis related to safety concerns. This paper describes the USGS Powell Center meeting in March 2023, devoted specifically to developing a PTHA for tsunami sources in the Pacific Ocean Basin other than the Alaska–Aleutian and Cascadia subduction zones that were addressed during previous WG meetings.
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However, studies have shown species responding in surprising ways. In this study, we aim to understand the impact of global change on species ranges by considering both climate and habitat changes. Using occupancy analysis of acoustic survey data in the mountains of the northeastern United States, we tested specific predictions of range responses to warming (shifting upslope), precipitation change (shifting downslope), and forest composition change (shifting downslope). We found that American red squirrels Tamiasciurus hudsonicus, key nodes in northern North American food webs, are not tracking increasing temperatures upslope, despite substantial warming in recent decades. Structural equation modeling indicates that red squirrel abundance is primarily influenced by red-spruce forest cover, which has shifted downslope with recovery from historical logging and acid deposition. Accounting for the multiple dimensions of global change will enable better predictions and more effective conservation strategies.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.07560","usgsCitation":"Morelli, T.L., Hallworth, M.T., Duclos, T., Ells, A., Faccio, S., Foster, J., McFarland, K.P., Nislow, K., Ralston, J., Ratnaswamy, M., Deluca, W.V., and Siren, A., 2025, Does habitat or climate change drive species range shifts?: Ecography, v. 2025, no. 6, e07560, 11 p., https://doi.org/10.1111/ecog.07560.","productDescription":"e07560, 11 p.","ipdsId":"IP-159616","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":486086,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489021,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07560","text":"Publisher Index Page"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, New York, Rhode Island, Vermont","otherGeospatial":"northeastern United 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V.","contributorId":272298,"corporation":false,"usgs":false,"family":"Deluca","given":"William","email":"","middleInitial":"V.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937225,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Siren, Alexej P.K.","contributorId":355399,"corporation":false,"usgs":false,"family":"Siren","given":"Alexej P.K.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":937226,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70263714,"text":"70263714 - 2025 - Contrasting magnitude and timing of pulsed aqueous methylmercury bioaccumulation across a reservoir food web","interactions":[],"lastModifiedDate":"2025-03-11T15:20:29.672209","indexId":"70263714","displayToPublicDate":"2025-02-17T08:29:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Contrasting magnitude and timing of pulsed aqueous methylmercury bioaccumulation across a reservoir food web","docAbstract":"Water column hypoxia is a key process influencing methylmercury (MeHg) production and availability in waterbodies worldwide. During seasonal destratification, large, short-lived pulses of aqueous MeHg may be released into the subsequently mixed water column, but little is known about the fate of these pulses, particularly whether there are concomitant increases in MeHg uptake into aquatic food webs. We examined the magnitude and timing of MeHg uptake across several trophic guilds relative to the reservoir stratification status using biweekly mercury data from water, zooplankton, and fish (Bluegill, Lepomis macrochirus and Smallmouth Bass, Micropterus dolomieu). Zooplankton MeHg concentrations increased by up to 250% during destratification, concurrent with increases in aqueous MeHg concentrations. Zooplankton and filter-passing MeHg concentrations were positively correlated when the reservoir was mixed (R2 = 0.95) and destratifying (R2 = 0.57) but not while the reservoir was stratified (R2 = 0.21). Mercury concentrations in adult bluegill and juveniles of both fish species increased 20–70% following destratification, with responses lagging 4–8 weeks behind those in water and zooplankton MeHg. Mercury concentrations in piscivorous adult bass varied little over the course of the study. Our findings demonstrate the responsiveness of reservoir food webs to pulses in MeHg availability, suggesting that these pulses could play an important role in biotic MeHg exposure within and downstream of reservoirs.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c10719","usgsCitation":"Willacker, J., Eagles-Smith, C., Baldwin, A.K., Tate, M., Poulin, B., Naymik, J., Krabbenhoft, D.P., Myers, R., and Chandler, J.A., 2025, Contrasting magnitude and timing of pulsed aqueous methylmercury bioaccumulation across a reservoir food web: Environmental Science & Technology, v. 59, no. 8, p. 38884-3894, https://doi.org/10.1021/acs.est.4c10719.","productDescription":"11 p.","startPage":"38884","endPage":"3894","ipdsId":"IP-171553","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":489859,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c10719","text":"Publisher Index Page"},{"id":482271,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Brownlee Reservoir, Hells Canyon Complex, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.84602295639596,\n 45.65736840039159\n ],\n [\n -116.99320578225903,\n 45.295454810899784\n ],\n [\n -117.24983304017238,\n 44.80742011369799\n ],\n [\n -117.30121339023736,\n 44.5717012606722\n ],\n [\n -116.73893003569623,\n 44.60477566164221\n ],\n [\n -116.31503103539632,\n 45.53825313201713\n ],\n [\n -116.42980155677816,\n 45.876926450734544\n ],\n [\n -116.93007961711443,\n 45.79860430308007\n ],\n [\n -116.84602295639596,\n 45.65736840039159\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":927931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":927932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":927933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":927934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":927935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Naymik, Jesse","contributorId":229386,"corporation":false,"usgs":false,"family":"Naymik","given":"Jesse","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":927936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - 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2025 - An early detection rapid response case study of the Black and White Tegu (Salvator merianae) and implications for a broader framework","interactions":[],"lastModifiedDate":"2025-06-03T14:51:39.043423","indexId":"70267816","displayToPublicDate":"2025-02-17T07:47:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"An early detection rapid response case study of the Black and White Tegu (Salvator merianae) and implications for a broader framework","docAbstract":"Documentation of successful early detection rapid response (EDRR) efforts is lacking from the scientific literature but is needed to inform invasive species response protocols. The Black and White tegu (Salvator merianae) has become established in several Florida counties and its spread is of significant conservation concern. It is of high priority for state and federal managers to prevent the spread into sensitive ecosystems, including the Greater Everglades. Thus, coordinated EDRR efforts are essential given limited infrastructure and funding for such tasks. While tegus have been observed along the eastern boundary of Everglades National Park, there has been no evidence tegus are established within Big Cypress National Preserve. On 8 August 2024 an individual tegu was sighted by a U.S. Geological Survey (USGS) biologist in Big Cypress National Preserve who alerted National Park Service (NPS) staff and mobilized a response. Live traps were placed at the location of sighting within 24 hours and an individual tegu was captured on 13 August 2024. The individual tegu was determined to be the same individual that was observed five days early based on color, pattern, and other physical characteristics. No additional tegus were captured. The rapid, coordinated response of NPS and USGS likely contributed to this successful EDRR event, and highlights the need for more expansive EDRR frameworks at multiple jurisdictional scales.","language":"English","publisher":"The Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2025.16.2.15","usgsCitation":"Sandfoss, M.R., Kissel, A.M., McBride, L.M., Metcalf, M., Sherburne, S., Mangione, T., McCollister, M., and Yackel Adams, A.A., 2025, An early detection rapid response case study of the Black and White Tegu (Salvator merianae) and implications for a broader framework: Management of Biological Invasions, v. 16, no. 2, p. 581-591, https://doi.org/10.3391/mbi.2025.16.2.15.","productDescription":"11 p.","startPage":"581","endPage":"591","ipdsId":"IP-170561","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490663,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2025.16.2.15","text":"Publisher Index Page"},{"id":489453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"south Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.46866453957387,\n 27.16060350540674\n ],\n [\n -82.46866453957387,\n 24.9925626851346\n ],\n [\n -79.72039698185677,\n 24.9925626851346\n ],\n [\n -79.72039698185677,\n 27.16060350540674\n ],\n [\n -82.46866453957387,\n 27.16060350540674\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kissel, Amanda Marie 0000-0002-6346-7455","orcid":"https://orcid.org/0000-0002-6346-7455","contributorId":334356,"corporation":false,"usgs":true,"family":"Kissel","given":"Amanda","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McBride, Lisa Marie 0000-0003-4558-5391","orcid":"https://orcid.org/0000-0003-4558-5391","contributorId":303824,"corporation":false,"usgs":true,"family":"McBride","given":"Lisa","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metcalf, Matthew Fox 0000-0002-5413-5192","orcid":"https://orcid.org/0000-0002-5413-5192","contributorId":356279,"corporation":false,"usgs":true,"family":"Metcalf","given":"Matthew Fox","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherburne, Sarah Rae 0000-0002-2351-769X","orcid":"https://orcid.org/0000-0002-2351-769X","contributorId":356280,"corporation":false,"usgs":true,"family":"Sherburne","given":"Sarah Rae","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangione, Travis R.","contributorId":356281,"corporation":false,"usgs":false,"family":"Mangione","given":"Travis R.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":939012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCollister, Matthew","contributorId":302902,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":939013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":939014,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70268813,"text":"70268813 - 2025 - Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","interactions":[],"lastModifiedDate":"2025-07-08T16:10:56.678715","indexId":"70268813","displayToPublicDate":"2025-02-16T09:05:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":684,"text":"Agronomy Journal","active":true,"publicationSubtype":{"id":10}},"title":"Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops","docAbstract":"Winter cover crops reduce erosion and nutrient runoff from agricultural systems. Although cereal cover crops can decrease field nitrate leaching by 50%–95%, the magnitude of this reduction varies within and between fields, making it challenging to monitor the impact of cover crops on nitrate leaching at large spatial extents. Satellite remote sensing using red-edge bands has been shown to effectively estimate crop nitrogen (N) content (kg ha−1) in later growth-stage crops with a closed canopy. In this study, we evaluated 15 spectral indices derived from Sentinel-2 imagery to estimate N concentration (%) and content (kg ha−1) of cereal cover crops, using 1627 destructive samples collected from 2018 to 2023 in Maryland. Observed N content ranged from 0.1 to 214.7 kg ha−1, while N concentration ranged from 0.6% to 5.5%. The 15 indices considered were poor predictors of N concentration (adj. R2 = 0.089, root mean squared error [RMSE] = 0.802%), but were more successful at measuring N content (biomass × N concentration). Delta red-edge (ΔRE) was the best predictor of N content (adj. R2 = 0.748, RMSE = 13.10 kg ha−1 from cross-validation with 80% train and 20% test splits iterated 100 times) using samples with imagery collected within ±4 days of destructive sampling (n = 1110). Our findings indicate that longer red-edge wavelengths (783 and 740 nm) are more suited for estimating N content in cereal cover crops compared to shorter red-edge wavelengths, which have been shown to be more sensitive to biomass. Leave-one-year-out cross-validation demonstrated that the relationship between ΔRE and N content was robust across all four cover crop sampling years included in the study (adj. R2 = 0.700–0.769, RMSE = 10.70–15.40 kg ha−1). Regression model performance improved with the addition of multiple predictors, including biomass (estimated from Normalized Difference Vegetation Index), weather variables (adj. R2 = 0.765, RMSE = 12.37 kg ha−1), management variables (species, season, adj. R2 = 0.772, and RMSE = 12.13 kg ha−1), and biophysical variables (height, fractional ground cover, adj. R2 = 0.818, and RMSE = 10.29 kg ha−1). These findings demonstrate the feasibility of quantifying N content in cereal cover crops using a red-edge-based spectral index across large geographic extents and indicate the inclusion of additional predictors, such as weather and management data, improves model accuracy. This work has implications for quantifying reductions in N leaching associated with cover crops, aiding in policymaking and evaluation of conservation programs that impact water bodies such as Chesapeake Bay.
","language":"English","publisher":"Wiley","doi":"10.1002/agj2.70011","usgsCitation":"Thieme, A., Jennewein, J., Hively, W.D., Lamb, B.T., Whitcraft, A., Mirsky, S., Reberg-Horton, S., and Justice, C., 2025, Multispectral red-edge indices accurately estimate nitrogen content in winter cereal cover crops: Agronomy Journal, v. 117, no. 1, e70011, 22 p., https://doi.org/10.1002/agj2.70011.","productDescription":"e70011, 22 p.","ipdsId":"IP-166011","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":497994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/agj2.70011","text":"Publisher Index Page"},{"id":491812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Eastern Shore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.72279086706524,\n 39.59745381238187\n ],\n [\n -76.72279086706524,\n 38.03247531099828\n ],\n [\n -75.71750552954822,\n 38.03247531099828\n ],\n [\n -75.71750552954822,\n 39.59745381238187\n ],\n [\n -76.72279086706524,\n 39.59745381238187\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thieme, Alison","contributorId":335444,"corporation":false,"usgs":false,"family":"Thieme","given":"Alison","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":942060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":942061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942062,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Brian T. 0000-0001-7957-5488","orcid":"https://orcid.org/0000-0001-7957-5488","contributorId":291893,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942063,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitcraft, Alicia","contributorId":357632,"corporation":false,"usgs":false,"family":"Whitcraft","given":"Alicia","affiliations":[{"id":48035,"text":"Department of Geographical Sciences, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":942064,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mirsky, S.B.","contributorId":357633,"corporation":false,"usgs":false,"family":"Mirsky","given":"S.B.","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":942065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reberg-Horton, S.C.","contributorId":357634,"corporation":false,"usgs":false,"family":"Reberg-Horton","given":"S.C.","affiliations":[{"id":85481,"text":"Department of Crop and Soil Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":942066,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Justice, C.","contributorId":146851,"corporation":false,"usgs":false,"family":"Justice","given":"C.","email":"","affiliations":[],"preferred":false,"id":942067,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263637,"text":"70263637 - 2025 - Macroseismology","interactions":[],"lastModifiedDate":"2025-02-19T15:54:03.051115","indexId":"70263637","displayToPublicDate":"2025-02-15T10:31:14","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Macroseismology","docAbstract":"In this chapter I discuss the use of so-called macroseismic data, i.e., reports of damage and other effects of shaking on humans and the built environment, to improve the characterization of earthquakes and the ground motions they produce. Macroseismic data are critical not only to investigate earthquakes that occurred before the start of the instrumental era in seismology, but are also, by virtue of the spatially rich nature of the data, of tremendous potential importance to investigate early instrumental and even recent earthquakes. Fueled by both the advent of on-line systems that now produce unprecedented volumes of macroseismic intensity data and by recognition of the importance of understanding key historical earthquakes, there has been a growing appreciation for the value of macroseismic data. It is, however, critical to understand both the unique challenges and the unique opportunities associated with these data. I review the evolution of thought and practices regarding analysis of macroseismic data, and the use of such data to improve the characterization of historic and early instrumental earthquakes.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding past earthquakes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-73580-6_3","usgsCitation":"Hough, S., 2025, Macroseismology, chap. of Understanding past earthquakes, p. 53-79, https://doi.org/10.1007/978-3-031-73580-6_3.","productDescription":"27 p.","startPage":"53","endPage":"79","ipdsId":"IP-134285","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487653,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-73580-6_3","text":"Publisher Index Page"},{"id":482170,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-02-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":927799,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gruetzner, Christoph","contributorId":351038,"corporation":false,"usgs":false,"family":"Gruetzner","given":"Christoph","affiliations":[],"preferred":false,"id":927800,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":350979,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927630,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263670,"text":"70263670 - 2025 - Paleoseismology and paleogeodesy using coral microatolls","interactions":[],"lastModifiedDate":"2025-02-19T15:57:17.773808","indexId":"70263670","displayToPublicDate":"2025-02-15T09:54:46","publicationYear":"2025","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Paleoseismology and paleogeodesy using coral microatolls","docAbstract":"Establishing the rupture extent and slip distribution of individual paleo-earthquakes is vital for assessing fault behavior including the persistence of rupture segmentation, recurrence patterns, and similarity of successive events, key issues in both fault mechanics and hazard assessment. Techniques with high temporal and geodetic precision as well as a wide distribution of study sites are necessary to investigate past earthquakes in such detail. Coral microatoll growth is one of the best types of geologic record for paleoseismology and paleogeodesy given these needs, as it provides long, continuous, widely distributed records of centimeter-scale vertical tectonic motion with potentially annual-level temporal precision. This chapter describes the process of interpreting microatoll growth records to obtain time series of relative sea level, tectonic vertical deformation fields, and finally slip and coupling parameters on an underlying fault interface.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Understanding past earthquakes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-73580-6_6","usgsCitation":"Philibosian, B.E., 2025, Paleoseismology and paleogeodesy using coral microatolls, chap. of Understanding past earthquakes, p. 143-167, https://doi.org/10.1007/978-3-031-73580-6_6.","productDescription":"25 p.","startPage":"143","endPage":"167","ipdsId":"IP-123036","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489845,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-73580-6_6","text":"Publisher Index Page"},{"id":482216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-02-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":927801,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gruetzner, Christoph","contributorId":351038,"corporation":false,"usgs":false,"family":"Gruetzner","given":"Christoph","affiliations":[],"preferred":false,"id":927802,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Philibosian, Belle E. 0000-0003-3138-4716","orcid":"https://orcid.org/0000-0003-3138-4716","contributorId":206110,"corporation":false,"usgs":true,"family":"Philibosian","given":"Belle","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927753,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263779,"text":"70263779 - 2025 - A high efficiency method for the extraction and quantitative analysis of 45 PFAS in whole fish","interactions":[],"lastModifiedDate":"2025-03-11T15:23:01.050123","indexId":"70263779","displayToPublicDate":"2025-02-15T09:33:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"A high efficiency method for the extraction and quantitative analysis of 45 PFAS in whole fish","docAbstract":"This study describes and validates a new method for extracting perfluoroalkyl and polyfluoroalkyl substances (PFAS) from whole-body fish tissue, demonstrates that freeze-dry preservation of tissue conserves bioaccumulative PFAS, and details a method demonstration on Lake Michigan fish. While fish filets are more commonly analyzed for their significance to human health, whole fish are useful to determine ecological impacts, but published methods such as EPA 1633 do not produce reliable results for this more challenging matrix. Here we show that lipid removal technology produces clean extracts without the need for solid-phase extraction or evaporative concentration, which often lead to loss of some PFAS. This method achieves an accuracy of 96 ± 9% for the detection of 45 PFAS while also offering benefits of a simple procedure, reduced processing time, and decreased waste generation compared to multistep cleanup and concentration methods. A test of freeze-drying demonstrated that compounds detected in Great Lakes fish were retained, but volatile compounds including sulfonamide precursors and ethanols were lost. To demonstrate field performance, the entire method was applied to whole-fish composites from Lake Michigan. Results from these samples reveal that the PFAS concentration was driven by collection location, while the distribution of PFAS was dictated by fish species.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c10001","usgsCitation":"Balgooyen, S., Scott, M., Blackwell, B., Pulster, E.L., Mahon, M.B., Lepak, R., and Backe, W., 2025, A high efficiency method for the extraction and quantitative analysis of 45 PFAS in whole fish: Environmental Science & Technology, v. 59, no. 7, p. 3759-3770, https://doi.org/10.1021/acs.est.4c10001.","productDescription":"12 p.","startPage":"3759","endPage":"3770","ipdsId":"IP-168887","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":500227,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12351992/","text":"External Repository"},{"id":482378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Balgooyen, Sarah","contributorId":351231,"corporation":false,"usgs":false,"family":"Balgooyen","given":"Sarah","affiliations":[{"id":65526,"text":"SpecPro Professional Services","active":true,"usgs":false}],"preferred":false,"id":928243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Madelynn","contributorId":351232,"corporation":false,"usgs":false,"family":"Scott","given":"Madelynn","affiliations":[{"id":39337,"text":"Oak Ridge Associated Universities","active":true,"usgs":false}],"preferred":false,"id":928244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blackwell, Brett R.","contributorId":173601,"corporation":false,"usgs":false,"family":"Blackwell","given":"Brett R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":928245,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928246,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahon, Michael B. 0000-0002-9436-2998","orcid":"https://orcid.org/0000-0002-9436-2998","contributorId":304824,"corporation":false,"usgs":false,"family":"Mahon","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":928247,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":928248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Backe, Will","contributorId":351233,"corporation":false,"usgs":false,"family":"Backe","given":"Will","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":928249,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271398,"text":"70271398 - 2025 - Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site","interactions":[],"lastModifiedDate":"2025-09-11T14:06:59.431869","indexId":"70271398","displayToPublicDate":"2025-02-15T08:56:42","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site","docAbstract":"Existing geothermal production in Utah is commonly collocated with surficial expressions of geothermal heat including active hot springs and hot spring deposits. However, geothermal potential across the Great Basin region is thought to be much higher for hidden or blind geothermal systems. Accordingly, exploration techniques that can locate geothermal resources that lack surface thermal features could support future development of these systems. The goal of the INGENIOUS project is to reduce exploration risk and discover new, economically viable hidden geothermal systems in the Great Basin region. This paper summarizes the efforts and preliminary results of blind geothermal resource prospecting in Utah as part of the larger INGENIOUS project. The Lund North site in the Basin and Range province of southwest Utah was designated as the fourth detailed study site for the project. The site was initially identified from the preliminary Play Fairway Analysis (PFA) geothermal favorability map, which is based on various data elements, and the identification of favorable structural settings across Utah. This site contains existing legacy data including a thermal gradient borehole with a heat-flow value exceeding 220 mW/m2. New data collected at this site include terrestrial gravity, magnetotellurics, transient electromagnetics, fluid geochemistry, geologic mapping, UAV-based lidar, paleomagnetism, aeromagnetic surveys, and a shallow temperature survey. Preliminary data and model interpretations corroborate the presence of a large, east-dipping, northeast-southwest-trending normal fault on the edge of a typical Basin and Range graben. Quaternary fault mapping refined by high-resolution lidar surveys suggests a complex step over fault geometry. Utilizing multi-disciplinary datasets for further site assessment at Lund North will facilitate the development of a local-scale PFA and geothermal conceptual model. This new data will be used to site successive thermal gradient drilling to verify heat flow with temperatures at depth at the Lund North site and further investigate the existence of a local geothermal system.
","largerWorkTitle":"Proceedings, 50th workshop on geothermal reservoir engineering","conferenceTitle":"50th Workshop on Geothermal Reservoir Engineering","conferenceDate":"February 10-12, 2025","conferenceLocation":"Stanford, CA","language":"English","publisher":"Stanford University","usgsCitation":"Hardwick, C.L., Szymanski, E., Hart-Wagoner, N.R., Ashton, S., Christensen, N., Earney, T.E., Faulds, J.E., Glen, J.M., Hiscock, A., Kirby, S., Knudsen, T., Kobe, S., Lindsey, C.R., Morbeck, B., Peacock, J., Rea-Downing, G.H., Schermerhorn, W.D., and Smith, K., 2025, Exploration for blind geothermal systems in the eastern Great Basin of Utah: An update on the “Lund North” INGENIOUS detailed study site, in Proceedings, 50th workshop on geothermal reservoir engineering, v. 50, Stanford, CA, February 10-12, 2025, 14 p.","productDescription":"14 p.","ipdsId":"IP-174820","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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0000-0002-0439-0224","orcid":"https://orcid.org/0000-0002-0439-0224","contributorId":210082,"corporation":false,"usgs":true,"family":"Peacock","given":"Jared R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948384,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rea-Downing, Grant Harold 0000-0002-8567-683X","orcid":"https://orcid.org/0000-0002-8567-683X","contributorId":333087,"corporation":false,"usgs":true,"family":"Rea-Downing","given":"Grant","email":"","middleInitial":"Harold","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948385,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Schermerhorn, William D. 0000-0002-0167-378X","orcid":"https://orcid.org/0000-0002-0167-378X","contributorId":210081,"corporation":false,"usgs":true,"family":"Schermerhorn","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":948386,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Smith, K.","contributorId":100578,"corporation":false,"usgs":true,"family":"Smith","given":"K.","affiliations":[],"preferred":false,"id":948387,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70262010,"text":"70262010 - 2025 - Molluscan isotope sclerochronology in marine palaeoclimatology: Taxa, technique and timespan issues","interactions":[],"lastModifiedDate":"2025-01-10T15:47:05.625225","indexId":"70262010","displayToPublicDate":"2025-02-15T08:40:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Molluscan isotope sclerochronology in marine palaeoclimatology: Taxa, technique and timespan issues","docAbstract":"Study of the accretionary biomineralised hardparts of organisms (sclerochronology) can make a useful contribution to palaeoclimatology. Ontogenetic sequences of isotopic data (δ18O and Δ47 values) from the shells of marine molluscs are a source of information on seasonal sea-surface temperatures that can be used for detailed and rigorous evaluation of the outputs of numerical climate models. In situations where there is significant seasonality, and where shell preservation is adequate, accurate information about winter and summer surface temperature can be obtained from shallow-water benthic forms (bivalves and gastropods), in particular the early ontogeny of fast-growing species. Accurate information about winter surface temperature can also be obtained from individuals that lived at mid-shelf depths (20–40 m), but summer seafloor values from these need upward adjustment to derive a plausible surface temperature if thermal stratification of the water column occurs in this season. Ontogenetic δ18O profiles from planktonic pteropod gastropods are a potential source of insight into seasonal surface temperatures in the ocean basins; these organisms merit investigation for provision of information to complement shelf data.
Temperature profiles constructed from shell δ18O require an estimate of the δ18O value of ambient seawater, which can be derived by back-calculation from the Δ47-temperature supplied by the same shell material. Alternatively, through appropriate sampling and data processing, seasonal temperatures can be obtained directly from Δ47 profiles. Climate parameters are defined in terms of the mean state over a period of 30 consecutive years, a statistic (e.g., for seasonal temperatures) which can be derived from the long isotopic temperature records obtainable from bivalve species that live for many tens or hundreds of years. Efforts should be made to acquire such records, especially averaged data from crossdated shells, to specify climate parameters for precise times in the past. Information for precise times would be of particular value for icehouse intervals like the late Cenozoic, characterised by high frequency (high amplitude) climate fluctuation. Short records from non-crossdated shells can nevertheless provide useful insights into climate, particularly if a large dataset is obtained, supplying a reliable picture of the mean state and range of variation in climate parameters over the interval represented by the shells.
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estimated recharge to the Edwards aquifer and the upper zone of the Trinity aquifer, Bandera, Bexar, and Medina Counties, Texas, 1955–2022","interactions":[],"lastModifiedDate":"2025-03-13T20:01:46.08562","indexId":"sir20245112","displayToPublicDate":"2025-02-14T16:25:56","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":"2024-5112","displayTitle":"Water-Budget Analysis of the Medina and Diversion Lake System, With Estimated Recharge to the Edwards Aquifer and the Upper Zone of the Trinity Aquifer, Bandera, Bexar, and Medina Counties, Texas, 1955–2022","title":"Water-budget analysis of the Medina and Diversion Lake system, with estimated recharge to the Edwards aquifer and the upper zone of the Trinity aquifer, Bandera, Bexar, and Medina Counties, Texas, 1955–2022","docAbstract":"The U.S. Geological Survey—in cooperation with the San Antonio Water System and the Edwards Aquifer Authority—used data collected during four different periods (March 1955–August 1964, October 1995–September 1996, March 2001–June 2002, and March 2017–October 2022) as part of a new study to refine previously derived relations between the altitude of the water surface of Medina Lake and recharge to the Edwards aquifer and the upper zone of the Trinity aquifer in the form of seepage losses from Medina Lake and the immediately downstream Diversion Lake. Any seepage losses that occur within the conservation pools of Medina and Diversion Lakes infiltrate the Edwards aquifer and the upper zone of the Trinity aquifer as recharge. To quantify recharge to the Edwards aquifer and the upper zone of the Trinity aquifer from Medina and Diversion Lakes, daily water budgets were used to calculate monthly and annual recharge (method 1). A new statistical analysis culminated in a new log-log weighted least-squares (WLS) regression equation that relates recharge from Medina and Diversion Lakes to the Medina Lake stage. Recharge estimates obtained by using the new log-log WLS regression equation (method 2), as well as the recharge estimated by using a method published in 1978 (referred to as the “Puente method”) (method 3), were compared with the calculated recharge during March 2017–September 2022. During March 2017–September 2022, the WLS estimated recharge was 224,310 acre-feet, 0.5 percent less than the calculated recharge of 225,400 acre-feet. The Puente method estimated recharge was 342,080 acre-feet, about 52 percent more than the calculated recharge. The analysis of the three methods indicates that WLS estimated recharge provides a more accurate accounting of actual recharge to the Edwards aquifer and the upper zone of the Trinity aquifer compared to the Puente method.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
Contact Us- USGS Publications Warehouse
","tableOfContents":"Urban expansion is a prominent threat to biodiversity, particularly for terrestrial mammals, which are significantly impacted by disruptions in habitat connectivity and loss. It can also lead to increased human‑wildlife conflicts that contribute to species decline. Urban public works projects, such as flood control areas, may coincidentally preserve significant habitat, but their potential for conservation remains understudied. Hansen Dam, located in the city of Los Angeles, California, USA, is one of these flood control areas, hosting some of the last remaining riparian habitat in the greater Los Angeles area. We deployed motion‑triggered camera traps at 36 stratified random locations and completed small mammal trapping at 20 sites at Hansen Dam. We detected a total of 15 species, not including domesticated animals, but there is potential that additional species inhabit the area. All species detected were common and expected but demonstrate that the Hansen Dam flood control basin has a terrestrial mammal community similar to that reported for other urban habitats. These results suggest incidental habitat conservation could play a significant role in future conservation planning efforts.
","language":"English","publisher":"Pensoft","doi":"10.15560/21.1.198","usgsCitation":"Privett-Mendoza, A., Oganesyan, S., Fisher, R., Hitchcock, C.J., Clark, D., and Zellmer, A., 2025, Terrestrial mammal diversity at Hansen Dam (Los Angeles, California, USA): Flood control area acts as habitat in a human-dominated landscape: Check List: The Journal of Biodiversity Data, v. 21, no. 1, p. 198-215, https://doi.org/10.15560/21.1.198.","productDescription":"18 p.","startPage":"198","endPage":"215","ipdsId":"IP-163743","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15560/21.1.198","text":"Publisher Index Page"},{"id":482501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Los Angeles","otherGeospatial":"Hansen Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.395,\n 34.28\n ],\n [\n -118.395,\n 34.255\n ],\n [\n -118.355,\n 34.255\n ],\n [\n -118.355,\n 34.28\n ],\n [\n -118.395,\n 34.28\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Privett-Mendoza, Auxenia G.","contributorId":351493,"corporation":false,"usgs":false,"family":"Privett-Mendoza","given":"Auxenia G.","affiliations":[{"id":83998,"text":"Occidental College; Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oganesyan, Stella","contributorId":351494,"corporation":false,"usgs":false,"family":"Oganesyan","given":"Stella","affiliations":[{"id":83999,"text":"Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitchcock, Cynthia Joan 0000-0001-9293-043X","orcid":"https://orcid.org/0000-0001-9293-043X","contributorId":225261,"corporation":false,"usgs":true,"family":"Hitchcock","given":"Cynthia","email":"","middleInitial":"Joan","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Denise 0000-0002-9688-2946 drclark@usgs.gov","orcid":"https://orcid.org/0000-0002-9688-2946","contributorId":213957,"corporation":false,"usgs":true,"family":"Clark","given":"Denise","email":"drclark@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zellmer, Amanda J.","contributorId":351495,"corporation":false,"usgs":false,"family":"Zellmer","given":"Amanda J.","affiliations":[{"id":83998,"text":"Occidental College; Arroyos & Foothills Conservancy","active":true,"usgs":false}],"preferred":false,"id":928693,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263421,"text":"sim3533 - 2025 - Geologic map of the Buckner 7.5-Minute quadrangle, Louisa County, Virginia","interactions":[],"lastModifiedDate":"2025-07-21T18:23:25.833527","indexId":"sim3533","displayToPublicDate":"2025-02-14T10:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3533","displayTitle":"Geologic Map of the Buckner 7.5-Minute Quadrangle, Louisa County, Virginia","title":"Geologic map of the Buckner 7.5-Minute quadrangle, Louisa County, Virginia","docAbstract":"The Buckner 7.5-minute quadrangle straddles three terrane boundaries in the Piedmont Physiographic Province in central Virginia: the Chopawamsic terrane, the Elk Hill Complex, and the Goochland terrane. In much of the map area, the Elk Hill Complex separates the Chopawamsic and Goochland terranes. Rocks of the Chopawamsic terrane include Ordovician metavolcanic and metasedimentary rocks of the Chopawamsic Formation, Ordovician to Silurian granodiorite sheet intrusions, and Paleozoic mafic intrusions. Silurian to Devonian rocks of the Quantico Formation, mostly garnet-mica schist, crop out in the northwesternmost part of the map area, and are in unconformable contact with rocks of the Chopawamsic Formation on the southeastern limb of the Quantico synclinorium. The main map unit in the Elk Hill Complex is Neoproterozoic mica gneiss, which is in pre-metamorphic fault contact with rocks of the Chopawamsic Formation to the west. The main map unit of the Goochland terrane is the Maidens Gneiss. Except for Jurassic diabase dikes, all rocks on the Buckner 7.5-minute quadrangle were metamorphosed to amphibolite facies during the Alleghanian orogeny and preserve multiple compositional and phyllosilicate penetrative foliations. Evidence of amphibolite-facies metamorphism during the Taconic orogeny is preserved in rocks of the Elk Hill Complex. The entire width of the Maidens Gneiss on the Buckner 7.5-minute quadrangle is within the Spotsylvania high-strain zone and amphibolite-facies mylonitic textures are pervasive. Quartz veins and Jurassic diabase dikes crosscut all older rocks of the quadrangle.
Multiple levels of terrace deposits are present along and near the major streams of the quadrangle. The lower terrace deposits are likely remnants of former positions of the Little River on the landscape, whereas higher deposits may be remnants of former deposits of the Atlantic Coastal Plain that covered this portion of the Piedmont Province. A linear cluster of aftershocks from the magnitude 5.8 earthquake that occurred near Mineral, Virginia, in 2011 defines the Fredericks Hall fault, which is at depth on the Buckner quadrangle. Most of the aftershocks occurred in the core of the Elk Creek antiform and have no relation to faults mapped at the surface. Several abandoned crushed stone and building stone quarries, as well as a mica prospect, exist in the quadrangle.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3533","collaboration":"Prepared in cooperation with the Virginia Department of Energy, Geology and Mineral Resources Program","usgsCitation":"Carter, M.W., Spears, D.B., Latane, V.M., Crider, E.A., Weinmann, B.R., Mangum, H., McAleer, R.J., Horton, J.W., Jr., Shah, A.K., and Regan, S.P., 2025, Geologic map of the Buckner 7.5-minute quadrangle, Louisa County, Virginia: U.S. Geological Survey Scientific Investigations Map 3533, 1 sheet, scale 1:24,000, 37-p. pamphlet, https://doi.org/10.3133/sim3533.","productDescription":"Pamphlet: vii, 37 p.; 1 Sheet: 48.32 x 41.31 inches; 2 Data Releases","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-125408","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":481855,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HC25RR","text":"USGS data release","linkHelpText":"238U/206Pb SHRIMP, 40Ar/39Ar geochronologic, and geochemical data from the central Virginia Piedmont"},{"id":492692,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118426.htm","linkFileType":{"id":5,"text":"html"}},{"id":481856,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OE8CKX","text":"USGS data release","linkHelpText":"Geodatabase for the geologic map of the Buckner 7.5-minute quadrangle, Louisa County, Virginia"},{"id":481850,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3533/sim3533.pdf","text":"Pamphlet","size":"26.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3533 Pamphlet PDF"},{"id":481849,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3533/coverthb.jpg"},{"id":481854,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3533/sim3533_sheet.pdf","text":"Sheet","size":"36.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3533 Sheet PDF"},{"id":481853,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3533/images/"}],"country":"United States","state":"Virginia","county":"Louisa County","otherGeospatial":"Buckner 7.5' quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.875,\n 38\n ],\n [\n -77.875,\n 37.875\n ],\n [\n -77.75,\n 37.875\n ],\n [\n -77.75,\n 38\n ],\n [\n -77.875,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192