{"pageNumber":"104","pageRowStart":"2575","pageSize":"25","recordCount":41032,"records":[{"id":70250631,"text":"70250631 - 2024 - Geothermal Play Fairway Analysis, Part 2: GIS methodology","interactions":[],"lastModifiedDate":"2023-12-21T12:54:31.077191","indexId":"70250631","displayToPublicDate":"2023-12-04T06:50:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Geothermal Play Fairway Analysis, Part 2: GIS methodology","docAbstract":"<p id=\"spara013\">Play Fairway Analysis (PFA) in geothermal exploration originates from a systematic methodology developed within the petroleum industry and is based on a geologic, geophysical, and hydrologic framework of identified geothermal systems. We tailored this methodology to study the geothermal resource potential of the Snake River Plain and surrounding region, but it can be adapted to other geothermal resource settings. We adapted the PFA approach to geothermal resource exploration by cataloging the critical elements controlling exploitable hydrothermal systems, establishing risk matrices that evaluate these elements in terms of both probability of success and level of knowledge, and building a code-based ‘processing model’ to process results.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102882","usgsCitation":"DeAngelo, J., Shervais, J., Glen, J.M., Nielson, D., Garg, S., Dobson, P., Gasperikova, E., Sonnenthal, E., Liberty, L.M., Siler, D.L., and Evans, J., 2024, Geothermal Play Fairway Analysis, Part 2: GIS methodology: Geothermics, v. 117, 102882, 13 p., https://doi.org/10.1016/j.geothermics.2023.102882.","productDescription":"102882, 13 p.","ipdsId":"IP-148320","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2023.102882","text":"Publisher Index Page"},{"id":423833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shervais, John W.","contributorId":237914,"corporation":false,"usgs":false,"family":"Shervais","given":"John W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890650,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielson, Dennis","contributorId":237918,"corporation":false,"usgs":false,"family":"Nielson","given":"Dennis","affiliations":[{"id":47642,"text":"DOSECC Exploration Services","active":true,"usgs":false}],"preferred":false,"id":890651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garg, Sabodh","contributorId":193564,"corporation":false,"usgs":false,"family":"Garg","given":"Sabodh","email":"","affiliations":[],"preferred":false,"id":890652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":890653,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":890654,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":890655,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liberty, Lee M. 0000-0003-2793-8173","orcid":"https://orcid.org/0000-0003-2793-8173","contributorId":332607,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":890656,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siler, Drew Lorenz 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":303226,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","email":"","middleInitial":"Lorenz","affiliations":[{"id":65720,"text":"Geologica Geothermal Group, LLC.","active":true,"usgs":false}],"preferred":false,"id":890657,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Evans, James P.","contributorId":332609,"corporation":false,"usgs":false,"family":"Evans","given":"James P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890658,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70255853,"text":"70255853 - 2024 - Shifting hotspots: Climate change projected to drive contractions and expansions of invasive plant abundance habitats","interactions":[],"lastModifiedDate":"2024-07-09T11:38:31.551849","indexId":"70255853","displayToPublicDate":"2023-12-04T06:36:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Shifting hotspots: Climate change projected to drive contractions and expansions of invasive plant abundance habitats","docAbstract":"<h3 id=\"ddi13787-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Preventing the spread of range-shifting invasive species is a top priority for mitigating the impacts of climate change. Invasive plants become abundant and cause negative impacts in only a fraction of their introduced ranges, yet projections of invasion risk are almost exclusively derived from models built using all non-native occurrences and neglect abundance information.</p><h3 id=\"ddi13787-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Eastern USA.</p><h3 id=\"ddi13787-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We compiled abundance records for 144 invasive plant species from five major growth forms. We fit over 600 species distribution models based on occurrences of abundant plant populations, thus projecting which areas in the eastern United States (U.S.) will be most susceptible to invasion under current and +2°C climate change.</p><h3 id=\"ddi13787-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>We identified current invasive plant hotspots in the Great Lakes region, mid-Atlantic region, and along the northeast coast of Florida and Georgia, each climatically suitable for abundant populations of over 30 invasive plant species. Under a +2°C climate change scenario, hotspots will shift an average of 213 km, predominantly towards the northeast U.S., where some areas are projected to become suitable for up to 21 new invasive plant species. Range shifting species could exacerbate impacts of up to 40 invasive species projected to sustain populations within existing hotspots. On the other hand, within the eastern U.S., 62% of species will experience decreased suitability for abundant populations with climate change. This trend is consistent across five plant growth forms.</p><h3 id=\"ddi13787-sec-0005-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>We produced species range maps and state-specific watch lists from these analyses, which can inform proactive regulation, monitoring, and management of invasive plants most likely to cause future ecological impacts. Additionally, areas we identify as becoming less suitable for abundant populations could be prioritized for restoration of climate-adapted native species. This research provides a first comprehensive assessment of risk from abundant plant invasions across the eastern U.S.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13787","usgsCitation":"Evans, A.E., Jarnevich, C.S., Beaury, E.M., Engelstad, P.S., Teich, N.B., LaRoe, J., and Bradley, B., 2024, Shifting hotspots: Climate change projected to drive contractions and expansions of invasive plant abundance habitats: Diversity and Distributions, v. 30, no. 1, p. 41-54, https://doi.org/10.1111/ddi.13787.","productDescription":"14 p.","startPage":"41","endPage":"54","ipdsId":"IP-145517","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":440978,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13787","text":"Publisher Index Page"},{"id":435082,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14VVRES","text":"USGS data release","linkHelpText":"US non-native plant occurrence and abundance data and distribution maps for Eastern US species with current and future climate"},{"id":430830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -99.10151839153237,\n              50.78098575562612\n            ],\n            [\n              -99.10151839153237,\n              23.62849578921181\n            ],\n            [\n              -64.47261214153237,\n              23.62849578921181\n            ],\n            [\n              -64.47261214153237,\n              50.78098575562612\n            ],\n            [\n              -99.10151839153237,\n              50.78098575562612\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Annette E. 0000-0001-6439-4908","orcid":"https://orcid.org/0000-0001-6439-4908","contributorId":328976,"corporation":false,"usgs":false,"family":"Evans","given":"Annette","email":"","middleInitial":"E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":905783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":905784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beaury, Evelyn M.","contributorId":236820,"corporation":false,"usgs":false,"family":"Beaury","given":"Evelyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":905785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelstad, Peder S.","contributorId":316321,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","email":"","middleInitial":"S.","affiliations":[{"id":68557,"text":"Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":905786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teich, Nathan B.","contributorId":336508,"corporation":false,"usgs":false,"family":"Teich","given":"Nathan","email":"","middleInitial":"B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":905787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaRoe, Jillian 0000-0002-1429-9811","orcid":"https://orcid.org/0000-0002-1429-9811","contributorId":299950,"corporation":false,"usgs":false,"family":"LaRoe","given":"Jillian","affiliations":[{"id":64987,"text":"Student contractor to USGS Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":905788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradley, Bethany A. 0000-0003-4912-4971","orcid":"https://orcid.org/0000-0003-4912-4971","contributorId":299998,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany A.","affiliations":[{"id":64995,"text":"University of Massachusetts, Northeast Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":905789,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273232,"text":"70273232 - 2024 - Chapter 24 - Resilience-based challenges and opportunities for fisheries management in Anthropocene rivers","interactions":[],"lastModifiedDate":"2025-12-22T15:28:45.761049","indexId":"70273232","displayToPublicDate":"2023-12-01T09:20:59","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chapter 24 - Resilience-based challenges and opportunities for fisheries management in Anthropocene rivers","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Few pristine rivers remain worldwide, as they are among the most anthropogenically modified ecosystems. We suggest the&nbsp;</span>geomorphology<span>, hydrology and ecology of&nbsp;Anthropocene&nbsp;rivers are fundamentally different from historical natural rivers. These changes challenge conventional fisheries management practices, suggesting the tools supporting fisheries management may require expansion so that strategies match the scope and scale of present-day problems. We believe that resilience-thinking concepts offer substantial benefits for fisheries managers in&nbsp;Anthropocene&nbsp;rivers. When viewing resilience as a property of an ecosystem, the focus should be increasing the capacity of the system to self-organise and adapt to withstand regime shifts from internal and external disturbances. As an approach, a resilience-based perspective favours managing for&nbsp;sustainability&nbsp;and stewardship of fisheries by placing an emphasis on enhancing the capacity of complex systems to cope with dynamic change. Three&nbsp;case studies&nbsp;presented herein use resilience thinking to highlight challenges and opportunities for fisheries management in Anthropocene rivers from Europe, North America and Australia. Ultimately, a resilience approach to fisheries management emphasises increasing the ecological, institutional and societal capacities to deal with change, whether those changes be hydroclimatic, geomorphic, biological or social, to sustain desirable subsistence, recreational and&nbsp;commercial fisheries.</span></span></p>","largerWorkTitle":"Resilience and Riverine Landscapes","language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-323-91716-2.00005-4","usgsCitation":"DeBoer, J., Bouska, K.L., Wolter, C., and Thoms, M.C., 2024, Chapter 24 - Resilience-based challenges and opportunities for fisheries management in Anthropocene rivers, chap. <i>of</i> Resilience and Riverine Landscapes, p. 491-517, https://doi.org/10.1016/B978-0-323-91716-2.00005-4.","productDescription":"27 p.","startPage":"491","endPage":"517","ipdsId":"IP-146916","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeBoer, Jason A.","contributorId":336872,"corporation":false,"usgs":false,"family":"DeBoer","given":"Jason A.","affiliations":[{"id":80890,"text":"Illinois Natural History Survey (INHS)","active":true,"usgs":false}],"preferred":false,"id":952805,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":952806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wolter, Christian","contributorId":364518,"corporation":false,"usgs":false,"family":"Wolter","given":"Christian","affiliations":[{"id":18001,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries","active":true,"usgs":false}],"preferred":false,"id":952807,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":952808,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261203,"text":"70261203 - 2024 - Discovery of an active forearc fault in an urban region: Holocene rupture on the XEOLXELEK-Elk Lake fault, Victoria, British Columbia, Canada","interactions":[],"lastModifiedDate":"2024-11-29T15:53:01.362708","indexId":"70261203","displayToPublicDate":"2023-12-01T08:44:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Discovery of an active forearc fault in an urban region: Holocene rupture on the XEOLXELEK-Elk Lake fault, Victoria, British Columbia, Canada","docAbstract":"Subduction forearcs are subject to seismic hazard from upper plate faults that are often invisible to instrumental monitoring networks. Identifying active faults in forearcs therefore requires integration of geomorphic, geologic, and paleoseismic data. We demonstrate the utility of a combined approach in a densely populated region of Vancouver Island, Canada, by combining remote sensing, historical imagery, field investigations, and shallow geophysical surveys to identify a previously unrecognized active fault, the XEOLXELEK-Elk Lake fault, in the northern Cascadia forearc, ∼10 km north of the city of Victoria. Lidar-derived digital terrain models and historical air photos show a ∼2.5-m-high scarp along the surface of a Quaternary drumlinoid ridge. Paleoseismic trenching and electrical resistivity tomography surveys across the scarp reveal a single reverse-slip earthquake produced a fault-propagation fold above a blind southwest-dipping fault. Five geologically plausible chronological models of radiocarbon dated charcoal constrain the likely earthquake age to between 4.7 and 2.3 ka. Fault-propagation fold modeling indicates ∼3.2 m of reverse slip on a blind, 50° southwest-dipping fault can reproduce the observed deformation. Fault scaling relations suggest a M 6.1–7.6 earthquake with a 13 to 73-km-long surface rupture and 2.3–3.2 m of dip slip may be responsible for the deformation observed in the paleoseismic trench. An earthquake near this magnitude in Greater Victoria could result in major damage, and our results highlight the importance of augmenting instrumental monitoring networks with remote sensing and field studies to identify and characterize active faults in similarily challenging environments.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023TC008170","usgsCitation":"Harrichhausen, N., Finley, T., Morell, K.D., Regalla, C., Bennett, S.E., Leonard, L.J., Nissen, E., McLeod, E., Lynch, E.M., Salomon, G., and Sethanant, I., 2024, Discovery of an active forearc fault in an urban region: Holocene rupture on the XEOLXELEK-Elk Lake fault, Victoria, British Columbia, Canada: Tectonics, v. 42, no. 12, e2023TC008170, 30 p., https://doi.org/10.1029/2023TC008170.","productDescription":"e2023TC008170, 30 p.","ipdsId":"IP-150586","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023tc008170","text":"Publisher Index Page"},{"id":464595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","city":"Victoria","otherGeospatial":"British Columbia, Elk Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.41337629238146,\n              48.541828309522685\n            ],\n            [\n              -123.41337629238146,\n              48.50910958578632\n            ],\n            [\n              -123.38321176822569,\n              48.50910958578632\n            ],\n            [\n              -123.38321176822569,\n              48.541828309522685\n            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Victoria","active":true,"usgs":false}],"preferred":false,"id":919843,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morell, Kristin D. 0000-0001-8464-3553","orcid":"https://orcid.org/0000-0001-8464-3553","contributorId":254360,"corporation":false,"usgs":false,"family":"Morell","given":"Kristin","email":"","middleInitial":"D.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":919844,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Regalla, Christine 0000-0003-2975-8336","orcid":"https://orcid.org/0000-0003-2975-8336","contributorId":254361,"corporation":false,"usgs":false,"family":"Regalla","given":"Christine","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":919845,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":919846,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leonard, Lucinda J. 0000-0002-6492-7660","orcid":"https://orcid.org/0000-0002-6492-7660","contributorId":254362,"corporation":false,"usgs":false,"family":"Leonard","given":"Lucinda","email":"","middleInitial":"J.","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":919847,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nissen, Edwin 0000-0002-0406-2706","orcid":"https://orcid.org/0000-0002-0406-2706","contributorId":244221,"corporation":false,"usgs":false,"family":"Nissen","given":"Edwin","email":"","affiliations":[{"id":48865,"text":"University of Victoria; Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":919848,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLeod, Eleanor","contributorId":345279,"corporation":false,"usgs":false,"family":"McLeod","given":"Eleanor","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":919849,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lynch, Emerson M. 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":254363,"corporation":false,"usgs":false,"family":"Lynch","given":"Emerson","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":919850,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Salomon, Guy 0000-0002-9239-6449","orcid":"https://orcid.org/0000-0002-9239-6449","contributorId":345280,"corporation":false,"usgs":false,"family":"Salomon","given":"Guy","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":919851,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sethanant, Israporn 0000-0003-0962-8999","orcid":"https://orcid.org/0000-0003-0962-8999","contributorId":345281,"corporation":false,"usgs":false,"family":"Sethanant","given":"Israporn","email":"","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":919852,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70250282,"text":"70250282 - 2024 - Comparison of δ13C analyses of individual foraminifer (Orbulina universa) shells by secondary ion mass spectrometry and gas source mass spectrometry","interactions":[],"lastModifiedDate":"2023-12-01T12:49:36.531165","indexId":"70250282","displayToPublicDate":"2023-12-01T06:42:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Comparison of δ<sup>13</sup>C analyses of individual foraminifer (<i>Orbulina universa</i>) shells by secondary ion mass spectrometry and gas source mass spectrometry","title":"Comparison of δ13C analyses of individual foraminifer (Orbulina universa) shells by secondary ion mass spectrometry and gas source mass spectrometry","docAbstract":"<p><strong>Rationale:</strong> The use of secondary ion mass spectrometry (SIMS) to perform micrometer-scale<span>&nbsp;</span><i>in situ</i><span>&nbsp;</span>carbon isotope (δ<sup>13</sup>C) analyses of shells of marine microfossils called planktic foraminifers holds promise to explore calcification and ecological processes. The potential of this technique, however, cannot be realized without comparison to traditional whole-shell δ<sup>13</sup>C values measured by gas source mass spectrometry (GSMS).</p><p><strong>Methods: </strong>Paired SIMS and GSMS δ<sup>13</sup>C values measured from final chamber fragments of the same shell of the planktic foraminifer<span>&nbsp;</span><i>Orbulina universa</i><span>&nbsp;</span>are compared. The SIMS–GSMS δ<sup>13</sup>C differences (Δ<sup>13</sup>C<sub>SIMS-GSMS</sub>) were determined via paired analysis of hydrogen peroxide-cleaned fragments of modern cultured specimens and of fossil specimens from deep-sea sediments that were either untreated, sonicated, and cleaned with hydrogen peroxide or vacuum roasted. After treatment, fragments were analyzed by a CAMECA IMS 1280 SIMS instrument and either a ThermoScientific MAT-253 or a Fisons Optima isotope ratio mass spectrometer (GSMS).</p><p><strong>Results: </strong>Paired analyses of cleaned fragments of cultured specimens (<i>n</i> = 7) yield no SIMS–GSMS δ<sup>13</sup>C difference. However, paired analyses of untreated (<i>n</i> = 18) and cleaned (<i>n</i> = 12) fragments of fossil shells yield average Δ<sup>13</sup>C<sub>SIMS-GSMS</sub><span>&nbsp;</span>values of 0.8‰ and 0.6‰ (±0.2‰, 2 SE), respectively, while vacuum roasting of fossil shell fragments (<i>n</i> = 11) removes the SIMS–GSMS δ<sup>13</sup>C difference.</p><p><strong>Conclusions: </strong>The noted Δ<sup>13</sup>C<sub>SIMS-GSMS</sub><span>&nbsp;</span>values are most likely due to matrix effects causing sample–standard mismatch for SIMS analyses but may also be a combination of other factors such as SIMS measurement of chemically bound water. The volume of material analyzed via SIMS is ~10<sup>5</sup><span>&nbsp;</span>times smaller than that analyzed by GSMS; hence, the extent to which these Δ<sup>13</sup>C<sub>SIMS-GSMS</sub><span>&nbsp;</span>values represent differences in analyte or instrument factors remains unclear.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.9658","usgsCitation":"Wycech, J.B., Kelly, D.C., Kozdon, R., Ishida, A., Kitajima, K., Spero, H.J., and Valley, J.W., 2024, Comparison of δ13C analyses of individual foraminifer (Orbulina universa) shells by secondary ion mass spectrometry and gas source mass spectrometry: Rapid Communications in Mass Spectrometry, v. 38, no. 2, e9658, 13 p., https://doi.org/10.1002/rcm.9658.","productDescription":"e9658, 13 p.","ipdsId":"IP-154888","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":440980,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rcm.9658","text":"Publisher Index Page"},{"id":435083,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9524ENX","text":"USGS data release","linkHelpText":"The Stable Carbon Isotope Dataset of Individual Foraminifer (Orbulina universa) Shells Measured by Secondary Ion Mass Spectrometry and Gas-Source Mass Spectrometry"},{"id":423136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Wycech, Jody Brae 0000-0002-7073-3037","orcid":"https://orcid.org/0000-0002-7073-3037","contributorId":303104,"corporation":false,"usgs":true,"family":"Wycech","given":"Jody","email":"","middleInitial":"Brae","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":889271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Daniel Clay 0000-0002-3241-1635","orcid":"https://orcid.org/0000-0002-3241-1635","contributorId":332025,"corporation":false,"usgs":false,"family":"Kelly","given":"Daniel","email":"","middleInitial":"Clay","affiliations":[{"id":79362,"text":"University of Wisconsin-Madison Department of Geoscience","active":true,"usgs":false}],"preferred":false,"id":889272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kozdon, Reinhard 0000-0001-6347-456X","orcid":"https://orcid.org/0000-0001-6347-456X","contributorId":261206,"corporation":false,"usgs":false,"family":"Kozdon","given":"Reinhard","email":"","affiliations":[{"id":28041,"text":"Lamont-Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":889275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ishida, Akizumi 0000-0002-1580-8534","orcid":"https://orcid.org/0000-0002-1580-8534","contributorId":332027,"corporation":false,"usgs":false,"family":"Ishida","given":"Akizumi","email":"","affiliations":[{"id":79363,"text":"Tohoku University Department of Earth Science","active":true,"usgs":false}],"preferred":false,"id":889273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kitajima, Kouki 0000-0001-7634-4924","orcid":"https://orcid.org/0000-0001-7634-4924","contributorId":332026,"corporation":false,"usgs":false,"family":"Kitajima","given":"Kouki","email":"","affiliations":[{"id":79362,"text":"University of Wisconsin-Madison Department of Geoscience","active":true,"usgs":false}],"preferred":false,"id":889274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spero, Howard J. 0000-0001-5465-8607","orcid":"https://orcid.org/0000-0001-5465-8607","contributorId":294388,"corporation":false,"usgs":false,"family":"Spero","given":"Howard","email":"","middleInitial":"J.","affiliations":[{"id":63564,"text":"University of California Davis, Department of Earth and Planetary Sciences","active":true,"usgs":false}],"preferred":false,"id":889276,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valley, John W.","contributorId":52895,"corporation":false,"usgs":false,"family":"Valley","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":889277,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251599,"text":"70251599 - 2024 - Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska","interactions":[],"lastModifiedDate":"2024-03-26T14:55:12.148679","indexId":"70251599","displayToPublicDate":"2023-12-01T06:00:24","publicationYear":"2024","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":"Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska","docAbstract":"<div id=\"139025290\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The type locality for the upper Oligocene Nuwok Member of the Sagavanirktok Formation (Carter Creek, North Slope, Alaska, USA) contains abundant occurrence of glendonite, a pseudomorph after the calcium carbonate mineral ikaite, which typically forms in the shallow subsurface of cold marine sediments. The region during the time of Nuwok Member deposition was located at a high latitude, similar to today, and the study site is characterized by sands and silty muds interpreted here to have been deposited in coastal and shelfal marine environments. Isotopic (Sr) and biostratigraphic (foraminifera) evidence presented here refine the depositional age of the outcrop to approximately 24 Ma. Glendonites occur in two basic forms: radial clusters, commonly centered around a single larger primary crystal ( approx. 10 cm; Type A) and larger single blades generally without accessory crystals (approx. 15–25 cm; Type B). Microscopic examination revealed a sequence of multiple types of replacive calcite that formed as a direct result of ikaite transformation: Type 1 rhombohedral crystals characterized by microporous and inclusion-rich cores and concentric zones, Type 2A, composed of clear calcite that overgrew and augmented Type 1 crystals, and inclusion-rich, microcrystalline Type 2B, which formed a matrix surrounding the rhombs and commonly dominates the outer rims of glendonite specimens. Type 3 calcite precipitated as fibrous, botryoidal epitaxial cement atop previous phases and is not ikaite-derived. These phases are distributed in similar ways in all examined specimens and are consistent with several previously described glendonite occurrences around the world, despite differing diagenetic and geologic histories. Stable isotope evidence (δ13C and δ18O) suggests sourcing of glendonite carbon from both organic and methanogenic sources. Glendonites of the Nuwok Member can therefore assist in the determination of a more comprehensive ikaite transformation model, improving our understanding of glendonite formation and the sedimentological and environmental context of their occurrence. Oligocene glendonites are uncommon globally; the well-preserved occurrence described here can allow future studies to better reconstruct Arctic environmental conditions and paleoclimates during this time.</p></div>","language":"English","publisher":"Society of Sedimentary Geology","doi":"10.2110/jsr.2023.060","usgsCitation":"Counts, J.W., Vickers, M., Stokes, M., Spivey, W., Gardner, K.F., Self-Trail, J., Gooley, J.T., McAleer, R.J., Jubb, A., Houseknecht, D.W., Lease, R.O., Griffis, N.P., Vickers, M.S., Sliwinska, K., Tompkins, H.G., and Hudson, A.M., 2024, Insights into glendonite formation from the upper Oligocene Sagavanirktok Formation, North Slope, Alaska: Journal of Sedimentary Research, v. 94, no. 2, p. 179-206, https://doi.org/10.2110/jsr.2023.060.","productDescription":"28 p.","startPage":"179","endPage":"206","ipdsId":"IP-152908","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":440983,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2110/jsr.2023.060","text":"Publisher Index Page"},{"id":425781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"North Slope","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145,\n              70.40854360845444\n            ],\n            [\n              -145,\n              69.75\n            ],\n            [\n              -142.8757286562064,\n              69.75\n            ],\n            [\n              -142.8757286562064,\n              70.40854360845444\n            ],\n            [\n              -145,\n              70.40854360845444\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Counts, John W. 0000-0001-7374-6928","orcid":"https://orcid.org/0000-0001-7374-6928","contributorId":248711,"corporation":false,"usgs":true,"family":"Counts","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":895001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vickers, Madeleine 0000-0002-4964-0418","orcid":"https://orcid.org/0000-0002-4964-0418","contributorId":334196,"corporation":false,"usgs":false,"family":"Vickers","given":"Madeleine","email":"","affiliations":[{"id":48608,"text":"University of Oslo","active":true,"usgs":false}],"preferred":false,"id":895002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stokes, Martha 0000-0002-2838-8380","orcid":"https://orcid.org/0000-0002-2838-8380","contributorId":269608,"corporation":false,"usgs":true,"family":"Stokes","given":"Martha","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":895003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Kristina Frank 0000-0001-9872-9294","orcid":"https://orcid.org/0000-0001-9872-9294","contributorId":297849,"corporation":false,"usgs":true,"family":"Gardner","given":"Kristina","email":"","middleInitial":"Frank","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":895007,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":895008,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":895009,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Houseknecht, David W. 0000-0002-9633-6910 dhouse@usgs.gov","orcid":"https://orcid.org/0000-0002-9633-6910","contributorId":645,"corporation":false,"usgs":true,"family":"Houseknecht","given":"David","email":"dhouse@usgs.gov","middleInitial":"W.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":895010,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":895011,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":895012,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vickers, Martin S.","contributorId":334197,"corporation":false,"usgs":false,"family":"Vickers","given":"Martin","email":"","middleInitial":"S.","affiliations":[{"id":6957,"text":"University College London","active":true,"usgs":false}],"preferred":false,"id":895013,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sliwinska, Kasia 0000-0001-5488-8832","orcid":"https://orcid.org/0000-0001-5488-8832","contributorId":334198,"corporation":false,"usgs":false,"family":"Sliwinska","given":"Kasia","email":"","affiliations":[{"id":40164,"text":"Geological Survey of Denmark and Greenland","active":true,"usgs":false}],"preferred":false,"id":895014,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tompkins, Hannah Gail Dooley 0000-0002-5268-7524","orcid":"https://orcid.org/0000-0002-5268-7524","contributorId":330219,"corporation":false,"usgs":true,"family":"Tompkins","given":"Hannah","email":"","middleInitial":"Gail Dooley","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":895015,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":895016,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70251241,"text":"70251241 - 2024 - Expansion of smallmouth bass distribution and habitat overlap with juvenile Chinook salmon in the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2024-02-07T17:29:47.564393","indexId":"70251241","displayToPublicDate":"2023-11-30T07:16:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Expansion of smallmouth bass distribution and habitat overlap with juvenile Chinook salmon in the Willamette River, Oregon","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Smallmouth bass populations have expanded far beyond their native range and these predatory fish present a pervasive threat to native aquatic species throughout North America. In the western United States, smallmouth bass are now present in river and reservoir habitats where Pacific salmon are found and are considered a potential threat to salmon recovery in many locations. We conducted a study to determine if smallmouth bass are expanding their range in the mainstem Willamette River, Oregon, and developed a model to assess habitat overlap between smallmouth bass and juvenile Chinook salmon. Sampling during 2011–2022 revealed that the distribution of smallmouth bass had expanded throughout that timeframe to encompass the entire mainstem Willamette River, including important rearing habitats for juvenile Chinook salmon. The model predicted that smallmouth bass and juvenile Chinook salmon habitat overlap was substantial, highlighting the need for additional research to evaluate for potential negative impacts to salmon recovery in the basin. The model was also used to evaluate the efficacy of using flow management to reduce interactions between these two species, but the scenarios we examined suggested that this was not a viable option. These results highlight the need for continued research to assess interactions between smallmouth bass and juvenile salmon, and other native species of concern, in the Willamette River Basin. The development of the model is useful for resource managers to understand interactions between these species to prioritize locations for sampling in the future.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4228","usgsCitation":"White, J., Kock, T.J., Penaluna, B.E., Gregory, S., Williams, J.E., and Wildman, R., 2024, Expansion of smallmouth bass distribution and habitat overlap with juvenile Chinook salmon in the Willamette River, Oregon: River Research and Applications, v. 40, no. 2, p. 251-263, https://doi.org/10.1002/rra.4228.","productDescription":"13 p.","startPage":"251","endPage":"263","ipdsId":"IP-154939","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":440985,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4228","text":"Publisher Index Page"},{"id":425143,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.66485093004934,\n              45.93477331591279\n            ],\n            [\n              -123.66485093004934,\n              43.55536694778439\n            ],\n            [\n              -122.02788803942433,\n              43.55536694778439\n            ],\n            [\n              -122.02788803942433,\n              45.93477331591279\n            ],\n            [\n              -123.66485093004934,\n              45.93477331591279\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"White, James 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":193492,"corporation":false,"usgs":true,"family":"White","given":"James","email":"jameswhite@usgs.gov","affiliations":[],"preferred":true,"id":893616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":893617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Penaluna, Brooke E. 0000-0001-7215-770X","orcid":"https://orcid.org/0000-0001-7215-770X","contributorId":333701,"corporation":false,"usgs":false,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E.","affiliations":[{"id":79954,"text":"U.S.D.A Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA, 97331","active":true,"usgs":false}],"preferred":false,"id":893618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Stanley V.","contributorId":296593,"corporation":false,"usgs":false,"family":"Gregory","given":"Stanley V.","affiliations":[{"id":64102,"text":"Department of Fisheries & Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":893619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Joshua E.","contributorId":296591,"corporation":false,"usgs":false,"family":"Williams","given":"Joshua","email":"","middleInitial":"E.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":893620,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wildman, Randy","contributorId":333702,"corporation":false,"usgs":false,"family":"Wildman","given":"Randy","email":"","affiliations":[{"id":79955,"text":"Oregon State University, Department of Fisheries and Wildlife, Corvallis, Oregon, USA, 97331","active":true,"usgs":false}],"preferred":false,"id":893621,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70251217,"text":"70251217 - 2024 - Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure","interactions":[],"lastModifiedDate":"2024-01-30T12:53:40.420403","indexId":"70251217","displayToPublicDate":"2023-11-30T06:50:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure","docAbstract":"<div id=\"141523672\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The rate and location at depth of fault creep are important, but difficult to characterize, parameters needed to assess seismic hazard. Here we take advantage of the magnetic properties of serpentinite, a rock type commonly associated with fault creep, to model its depth extent along the Bartlett Springs fault zone, an important part of the San Andreas fault system north of the San Francisco Bay, California (western United States). We model aeromagnetic and gravity anomalies using geologic constraints along 14 cross sections over a distance of 120 km along the fault zone. Our results predict that the fault zone has more serpentinite at depth than inferred by geologic relationships at the surface. Existing geodetic models are inconsistent and predict different patterns of creep along the fault. Our results favor models with more extensive creep at depth. The source of the serpentinite appears to be ophiolite thrust westward and beneath the Franciscan Complex, an interpretation supported by the presence of antigorite, a high-temperature serpent ine mineral stable at depth, in fault gouge near Lake Pillsbury.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02684.1","usgsCitation":"Langenheim, V., McLaughlin, R., and Melosh, B.L., 2024, Integrated geologic and geophysical modeling across the Bartlett Springs fault zone, northern California (USA): Implications for fault creep and regional structure: Geosphere, v. 20, no. 1, p. 129-151, https://doi.org/10.1130/GES02684.1.","productDescription":"23 p.","startPage":"129","endPage":"151","ipdsId":"IP-151101","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440993,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02684.1","text":"Publisher Index Page"},{"id":425100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42932807554686,\n              42.33373418541973\n            ],\n            [\n              -125.42932807554686,\n              33.98841352333858\n            ],\n            [\n              -119.23303901304692,\n              33.98841352333858\n            ],\n            [\n              -119.23303901304692,\n              42.33373418541973\n            ],\n            [\n              -125.42932807554686,\n              42.33373418541973\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":207002,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[],"preferred":true,"id":893552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":211450,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":893553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melosh, Benjamin L. 0000-0002-8017-7193","orcid":"https://orcid.org/0000-0002-8017-7193","contributorId":217215,"corporation":false,"usgs":true,"family":"Melosh","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":893554,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251368,"text":"70251368 - 2024 - Geoelectric field model validation in the southern California Edison system: Case study","interactions":[],"lastModifiedDate":"2024-02-07T15:20:40.913958","indexId":"70251368","displayToPublicDate":"2023-11-29T09:18:17","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geoelectric field model validation in the southern California Edison system: Case study","docAbstract":"Geomagnetic storms are a natural phenomenon that cause magnetic field variations at the surface of the Earth. These variations induce electrical current in natural and artificial conductors at and below the surface, resulting in geomagnetically induced currents (GIC) in power systems. The key to modeling GIC is to estimate the geoelectric field in the region of the power grid. The estimation of GIC follows by integrating the geoelectric field along the power transmission lines. In this study, we test the accuracy of the NOAA/USGS geoelectric field model during two geomagnetic storms in a regional power grid of the Southern California Edison system. Our comparison of modeled GIC with measurements shows reasonable agreement and gives confidence that the modeling is physically realistic. We also demonstrate the improved accuracy of modeled GIC relative to a simpler geoelectric field model based on regional 1D conductivity profiles.","largerWorkTitle":"Proceedings of 2023 IEEE Energy Conversion Congress and Exposition (ECCE)","conferenceTitle":"2023 IEEE Energy Conversion Congress and Exposition (ECCE)","conferenceDate":"October 29-November 2, 2023","conferenceLocation":"Nashville, TN","language":"English","publisher":"IEEE","doi":"10.1109/ECCE53617.2023.10362883","usgsCitation":"Balch, C.C., Jing, C., Kelbert, A., Arons, P., and Richardson, K., 2024, Geoelectric field model validation in the southern California Edison system: Case study, <i>in</i> Proceedings of 2023 IEEE Energy Conversion Congress and Exposition (ECCE), v. 2023, Nashville, TN, October 29-November 2, 2023, p. 6107-6114, https://doi.org/10.1109/ECCE53617.2023.10362883.","productDescription":"8 p.","startPage":"6107","endPage":"6114","ipdsId":"IP-155380","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":425472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2023","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Balch, Christopher C. 0000-0002-5359-3810","orcid":"https://orcid.org/0000-0002-5359-3810","contributorId":203427,"corporation":false,"usgs":false,"family":"Balch","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":36616,"text":"Space Weather Prediction Center, National Oceanic and Atmospheric Administation","active":true,"usgs":false}],"preferred":false,"id":894292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jing, Chaoyang","contributorId":333912,"corporation":false,"usgs":false,"family":"Jing","given":"Chaoyang","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":894293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":894294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arons, Patricia","contributorId":333913,"corporation":false,"usgs":false,"family":"Arons","given":"Patricia","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":894295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richardson, Kevin","contributorId":333914,"corporation":false,"usgs":false,"family":"Richardson","given":"Kevin","email":"","affiliations":[{"id":37795,"text":"Southern California Edison","active":true,"usgs":false}],"preferred":false,"id":894296,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256547,"text":"70256547 - 2024 - Accounting for spatiotemporal sampling variation in joint species distribution models","interactions":[],"lastModifiedDate":"2024-08-15T23:18:14.436197","indexId":"70256547","displayToPublicDate":"2023-11-28T18:14:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for spatiotemporal sampling variation in joint species distribution models","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Estimating relative abundance is critical for informing conservation and management efforts and for making inferences about the effects of environmental change on populations. Freshwater fisheries span large geographic regions, occupy diverse habitats and consist of varying species assemblages. Monitoring schemes used to sample these diverse populations often result in populations being sampled at different times and under different environmental conditions. Varying sampling conditions can bias estimates of abundance when compared across time, location and species, and properly accounting for these biases is critical for making inferences.</li><li>We develop a joint species distribution model (JSDM) that accounts for varying sampling conditions due to the environment and time of sampling when estimating relative abundance. The novelty of our JSDM is that we explicitly model sampling effort as the product of known quantities based on time and gear type and an unknown functional relationship to capture seasonal variation in species life history.</li><li>We use the model to study relative abundance of six freshwater fish species across the state of Minnesota, USA. Our model enables estimates of relative abundance to be compared both within and across species and lakes, and captures the inconsistent sampling present in the data. We discuss how gear type, water temperature and day of the year impact catchability for each species at the lake level and throughout a year. We compare our estimates of relative abundance to those obtained from a model that assumes constant catchability to highlight important differences within and across lakes and species.</li><li><i>Synthesis and applications</i>: Our method illustrates that assumptions relating indices of abundance to observed catch data can greatly impact model inferences derived from JSDMs. Specifically, not accounting for varying sampling conditions can bias inference of relative abundance, restricting our ability to detect responses to management interventions and environmental change. While our focus is on freshwater fisheries, this model architecture can be adopted to other systems where catchability may vary as a function of space, time and species.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14547","usgsCitation":"North, J., Schliep, E., Hansen, G., Kundel, H., Custer, C., McLaughlin, P., and Wagner, T., 2024, Accounting for spatiotemporal sampling variation in joint species distribution models: Journal of Applied Ecology, v. 61, no. 1, p. 186-201, https://doi.org/10.1111/1365-2664.14547.","productDescription":"16 p.","startPage":"186","endPage":"201","ipdsId":"IP-138795","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440999,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2664.14547","text":"External Repository"},{"id":432792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"North, Joshua S.","contributorId":341084,"corporation":false,"usgs":false,"family":"North","given":"Joshua S.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schliep, Erin M.","contributorId":341085,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin M.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J.A.","contributorId":341086,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen J.A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kundel, Holly","contributorId":341087,"corporation":false,"usgs":false,"family":"Kundel","given":"Holly","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Christopher A.","contributorId":341088,"corporation":false,"usgs":false,"family":"Custer","given":"Christopher A.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Paul","contributorId":341089,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Paul","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907927,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261206,"text":"70261206 - 2024 - U-Pb zircon ages and Lu-Hf isotope systematics across northwestern Mexico: Implications for Cretaceous to Paleocene tectonomagmatic evolution during Farallon subduction","interactions":[],"lastModifiedDate":"2024-11-29T15:14:33.712386","indexId":"70261206","displayToPublicDate":"2023-11-26T08:08:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2020,"text":"International Geology Review","active":true,"publicationSubtype":{"id":10}},"title":"U-Pb zircon ages and Lu-Hf isotope systematics across northwestern Mexico: Implications for Cretaceous to Paleocene tectonomagmatic evolution during Farallon subduction","docAbstract":"<p>This study presents U-Pb zircon ages and Lu-Hf zircon isotope data for Cretaceous-Paleocene plutonic rocks along a W-E transect in northwestern Mexico. These data are combined with tectonic reconstruction that restores Late Cenozoic extensional deformation and shows the position of magmatism at 36 Ma. Zircon U-Pb ages results span from 142 to 58 Ma and demonstrate that the continental arc migrated northeastward at 1–2.5 km/Myr. These rates are slower than previously interpreted, but consistent with landward arc migration rates observed in the Andes. Weighted mean initial epsilon hafnium εHf(<sub>t</sub>) values of plutonic rocks along the transect range from + 8.8 to −9.1. The heterogeneity in the zircon εHf(<sub>t</sub>) is spatially related to the pre-Cretaceous basement provinces that the intrusive rocks were emplaced into. Zircon εHf(<sub>t</sub>) values of western Baja California display positive values ranging from + 8.8 to + 2.6 suggesting they were formed from a moderately depleted mantle and were emplaced into the Guerrero-Alisitos-Vizcaino terrane. Zircon εHf(<sub>t</sub>) values in the eastern part of Baja California and most of Sonora are heterogeneous ranging between −0.7 and −9.1 and may be formed from a relatively slightly more evolved mantle source and end up more evolved after crustal assimilation of metasediments. Zircon εHf(<sub>t</sub>) values ranging from + 8.7 to + 2.9 in Chihuahua are consistent with a depleted-mantle derived melt and assimilation of Grenville lithospheric province. Our results highlight how Hf isotopic signatures help to constrain the pre-Cretaceous basement configuration in northwestern Mexico despite the few exposed outcrops along the transect.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00206814.2023.2283749","usgsCitation":"Fonseca-Martinez, A.B., Iriondo, A., Bennett, S.E., McDowell, F.W., and Ortega-Obregon, C., 2024, U-Pb zircon ages and Lu-Hf isotope systematics across northwestern Mexico: Implications for Cretaceous to Paleocene tectonomagmatic evolution during Farallon subduction: International Geology Review, v. 66, no. 13, p. 2384-2408, https://doi.org/10.1080/00206814.2023.2283749.","productDescription":"25 p.","startPage":"2384","endPage":"2408","ipdsId":"IP-152710","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":464590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"northwestern Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.85452263208936,\n              28.981619803371586\n            ],\n            [\n              -115.85452263208936,\n              24.74409158188162\n            ],\n            [\n              -105.19328404565414,\n              24.74409158188162\n            ],\n            [\n              -105.19328404565414,\n              28.981619803371586\n            ],\n            [\n              -115.85452263208936,\n              28.981619803371586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"66","issue":"13","noUsgsAuthors":false,"publicationDate":"2023-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Fonseca-Martinez, Arlin B. 0000-0002-1710-3829","orcid":"https://orcid.org/0000-0002-1710-3829","contributorId":346758,"corporation":false,"usgs":false,"family":"Fonseca-Martinez","given":"Arlin","email":"","middleInitial":"B.","affiliations":[{"id":82955,"text":"Universidad Nacional Autónoma de México; Memorial University of Newfoundland","active":true,"usgs":false}],"preferred":false,"id":919853,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iriondo, Alexander 0000-0002-5129-9378","orcid":"https://orcid.org/0000-0002-5129-9378","contributorId":240977,"corporation":false,"usgs":false,"family":"Iriondo","given":"Alexander","email":"","affiliations":[{"id":48178,"text":"Universidad Nacional Autonoma de Mexico-Campus Juriquilla","active":true,"usgs":false}],"preferred":false,"id":919854,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDowell, Fred W.","contributorId":346759,"corporation":false,"usgs":false,"family":"McDowell","given":"Fred","email":"","middleInitial":"W.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":919856,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega-Obregon, Carlos 0000-0003-4220-0257","orcid":"https://orcid.org/0000-0003-4220-0257","contributorId":346760,"corporation":false,"usgs":false,"family":"Ortega-Obregon","given":"Carlos","email":"","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":919857,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255155,"text":"70255155 - 2024 - Imperfect detection and misidentification affect inferences from data informing water operation decisions","interactions":[],"lastModifiedDate":"2024-06-13T17:01:29.893417","indexId":"70255155","displayToPublicDate":"2023-11-23T11:56:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Imperfect detection and misidentification affect inferences from data informing water operation decisions","docAbstract":"<h3 id=\"nafm10974-sec-0001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Managers can modify river flow regimes using fish monitoring data to minimize impacts from water management infrastructure. For example, operation of the gate-controlled Delta Cross Channel (DCC) in California can negatively affect the endangered Sacramento River winter-run Chinook Salmon<span>&nbsp;</span><i>Oncorhynchus tshawytscha</i>. Although guidelines have been developed for DCC operations by using real-time juvenile fish sampling count data, there is uncertainty about how environmental conditions influence fish occupancy and the extent to which those relationships are affected by sampling and identification error.</p><h3 id=\"nafm10974-sec-0002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We evaluated the effect of environmental conditions, imperfect detection, and misidentification error on salmon occupancy by analyzing data using hierarchical multistate occupancy models. A total of 14,147 trawl tows and beach seine hauls were conducted on 1058 sampling days between October and December from 1996 to 2019. During these surveys, 2803 juvenile winter-run Chinook Salmon were identified, and approximately 29% of the sampling days had at least one winter-run juvenile detected.</p><h3 id=\"nafm10974-sec-0003-title\" class=\"article-section__sub-title section1\">Result</h3><p>The probability of misidentifying an individual juvenile winter-run Chinook Salmon in the field was estimated to be 0.056 based on fish identification examinations and genetic sampling. Occupancy varied considerably and was related to flow characteristics, water clarity, weather, time of year, and whether occupancy was detected during the previous sampling day. However, these relationships and their significance changed considerably when accounting for imperfect detection and the probability of misidentifying individual juvenile salmon. Detection was &lt;0.3 under average sampling conditions during a single sample and was influenced by flow, water clarity, site, and volume sampled.</p><h3 id=\"nafm10974-sec-0004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our modeling results indicate that DCC gate closure decisions could occur on fewer days when imperfect detection and misidentification error are not accounted for. These findings demonstrate the need to account for identification and detection error while using monitoring data to assess factors influencing fish occupancy and inform future management decisions.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10974","usgsCitation":"Kirsch, J., Peterson, J., Duarte, A., Goodman, D., Goodman, A., Hugentobler, S., Meek, M., Perry, R., Smith, L., and Stuart, J., 2024, Imperfect detection and misidentification affect inferences from data informing water operation decisions: North American Journal of Fisheries Management, v. 44, no. 2, p. 335-358, https://doi.org/10.1002/nafm.10974.","productDescription":"24 p.","startPage":"335","endPage":"358","ipdsId":"IP-146813","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10974","text":"Publisher Index Page"},{"id":430148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirsch, Joseph E.","contributorId":338806,"corporation":false,"usgs":false,"family":"Kirsch","given":"Joseph E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":903620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodman, Denise","contributorId":339306,"corporation":false,"usgs":false,"family":"Goodman","given":"Denise","email":"","affiliations":[],"preferred":false,"id":904033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodman, Andrew","contributorId":338810,"corporation":false,"usgs":false,"family":"Goodman","given":"Andrew","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hugentobler, Sara","contributorId":338812,"corporation":false,"usgs":false,"family":"Hugentobler","given":"Sara","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meek, Mariah","contributorId":260835,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":903624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Lori","contributorId":338817,"corporation":false,"usgs":false,"family":"Smith","given":"Lori","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stuart, Jeffrey","contributorId":338821,"corporation":false,"usgs":false,"family":"Stuart","given":"Jeffrey","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903626,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70252271,"text":"70252271 - 2024 - Sediment thickness map of United States Atlantic and Gulf Coastal Plain Strata, and their influence on earthquake ground motions","interactions":[],"lastModifiedDate":"2024-03-22T12:00:54.461553","indexId":"70252271","displayToPublicDate":"2023-11-23T06:58:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Sediment thickness map of United States Atlantic and Gulf Coastal Plain Strata, and their influence on earthquake ground motions","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>With the recent successful accounting of basin depth ground-motion adjustments in seismic hazard analyses for select areas of the western United States, we move toward implementing similar adjustments in the Atlantic and Gulf Coastal Plains by constructing a sediment thickness model and evaluating multiple relevant site amplification models for central and eastern United States seismic hazard analyses. We digitize and combine existing sediment thickness data sets into a composite surface that delineates the base of Cretaceous sediments under the Atlantic Coastal Plain and the base of Mesozoic sediments under the Gulf Coastal Plain. Amplification models dependent on sediment thickness, site natural period, and source-to-site path length are compared with data sets of observed ground motions to evaluate the ability of the new models to improve ground motion estimates. We find that the amplification models can account for observed trends in sediment-thickness and period-dependent residuals, but some tuning is required. For example, the model of Chapman and Guo requires a reference<span>&nbsp;</span><i>V<sub>S</sub></i><sub>30</sub>, the time-averaged shear-wave velocity within 30 m of the Earth’s surface, for non-Coastal Plain sites, which we estimate to be between about 1 and 2 km/s. Along with our sediment thickness model, we estimate a velocity profile for application to the Harmon et al. site-natural-period-based model in order to best match the Chapman and Guo period dependence for a broad range of sediment thicknesses. The Next Generation of Attenuation models for the eastern United States Gulf Coast path-based adjustment models can also account for seismic attenuation in the Coastal Plain sediments and reduce the standard deviation of total residuals. If enacted in the U.S. Geological Survey National Seismic Hazard Model, these amplification models will reduce predicted short-period (&lt;1 s) and increase predicted long-period (&gt;1 s) ground motions in the Coastal Plains appreciably.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930231204880","usgsCitation":"Boyd, O.S., Churchwell, D., Moschetti, M.P., Thompson, E.M., Chapman, M.C., Ilhan, O., Pratt, T.L., Ahdi, S.K., and Rezaeian, S., 2024, Sediment thickness map of United States Atlantic and Gulf Coastal Plain Strata, and their influence on earthquake ground motions: Earthquake Spectra, v. 40, no. 1, p. 89-112, https://doi.org/10.1177/87552930231204880.","productDescription":"24 p.","startPage":"89","endPage":"112","ipdsId":"IP-151874","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":441007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930231204880","text":"Publisher Index Page"},{"id":426888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -69.52951608954416,\n              42.15206192693833\n            ],\n            [\n              -99.76389108954382,\n              42.15206192693833\n            ],\n            [\n              -99.76389108954382,\n              24.67305048615215\n            ],\n            [\n              -69.52951608954416,\n              24.67305048615215\n            ],\n            [\n              -69.52951608954416,\n              42.15206192693833\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Churchwell, David","contributorId":331355,"corporation":false,"usgs":false,"family":"Churchwell","given":"David","affiliations":[],"preferred":false,"id":897087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chapman, Martin C.","contributorId":139348,"corporation":false,"usgs":false,"family":"Chapman","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":897090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ilhan, Okan","contributorId":294751,"corporation":false,"usgs":false,"family":"Ilhan","given":"Okan","email":"","affiliations":[{"id":63637,"text":"Ankara Bildirim Beyazıt University, Turkey","active":true,"usgs":false}],"preferred":false,"id":897091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ahdi, Sean Kamran 0000-0003-0274-5180","orcid":"https://orcid.org/0000-0003-0274-5180","contributorId":265143,"corporation":false,"usgs":true,"family":"Ahdi","given":"Sean","email":"","middleInitial":"Kamran","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897093,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897094,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70250229,"text":"70250229 - 2024 - Quantifying the contributions of tributaries to large-river fish populations through mark-recapture modeling","interactions":[],"lastModifiedDate":"2024-04-23T15:09:57.106178","indexId":"70250229","displayToPublicDate":"2023-11-23T06:53:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the contributions of tributaries to large-river fish populations through mark-recapture modeling","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Tributaries may play a vital role in maintaining populations of large river fishes, although the specific contributions of tributaries toward recruitment of river-wide populations are not often understood. Tributaries may experience fewer cumulative anthropogenic impacts relative to mainstem rivers and may offer more natural conditions supportive of native fish populations, which may provide opportunities for fish population restoration. Thus, an improved understanding of tributary-mainstem population dynamics may inform targeted conservation actions for spatially structured populations of large-river fishes. Colorado River tributaries in the Grand Canyon, Arizona, USA are a focus of imperiled Humpback Chub<span>&nbsp;</span><i>Gila cypha</i><span>&nbsp;</span>conservation, which includes translocations to enhance population redundancy and to expand the overall population. However, the fate of fish dispersed to the mainstem has not been thoroughly quantified. Using open population mark-recapture models, we quantified the relative contribution of three groups of Humpback Chub, including fish of confirmed tributary origin that were either translocated or produced<span>&nbsp;</span><i>in situ</i>, and others presumed to be Colorado River mainstem origin fish, to three mainstem populations. Our specific study objectives were to 1) estimate Colorado River abundances of tributary and mainstem-origin fish over time, 2) compare relative group-specific contributions to three mainstem populations, and 3) compare group-specific survival rates of Humpback Chub in the Colorado River and in a tributary where a recent translocation has occurred. Tributaries contributed 26% and 43% of the overall abundance in two tributary inflow reach populations, and zero in a third, which we attributed to uncharacteristically low tributary survival immediately following translocation. In the mainstem, survival of tributary-origin fish was higher compared to mainstem-origin fish, suggesting an advantage of tributary residence. Our contrasting results from three different tributary inflow populations highlight the potential role for tributaries in sustaining large-river fish populations, which may have important implications for long-term maintenance of river metapopulations.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10971","usgsCitation":"Healy, B.D., and Omana Smith, E.C., 2024, Quantifying the contributions of tributaries to large-river fish populations through mark-recapture modeling: North American Journal of Fisheries Management, v. 44, no. 2, p. 299-318, https://doi.org/10.1002/nafm.10971.","productDescription":"20 p.","startPage":"299","endPage":"318","ipdsId":"IP-151365","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441009,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10971","text":"Publisher Index Page"},{"id":423039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":304257,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888996,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Omana Smith, Emily C.","contributorId":301157,"corporation":false,"usgs":false,"family":"Omana Smith","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":65320,"text":"Native Fish Ecology and Conservation Program","active":true,"usgs":false}],"preferred":false,"id":888997,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250127,"text":"70250127 - 2024 - Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish","interactions":[],"lastModifiedDate":"2023-12-21T14:35:17.577815","indexId":"70250127","displayToPublicDate":"2023-11-21T09:32:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish","docAbstract":"<p><span>Climate change affects populations over broad geographic ranges due to spatially autocorrelated abiotic conditions known as the Moran effect. However, populations do not always respond to broad-scale environmental changes synchronously across a landscape. We combined multiple datasets for a retrospective analysis of time-series count data (5–28 annual samples per segment) at 144 stream segments dispersed over nearly 1,000 linear kilometers of range to characterize the population structure and scale of spatial synchrony across the southern native range of a coldwater stream fish (brook trout,&nbsp;</span><i>Salvelinus fontinalis</i><span>), which is sensitive to stream temperature and flow variations. Spatial synchrony differed by life stage and geographic region: it was stronger in the juvenile life stage than in the adult life stage and in the northern sub-region than in the southern sub-region. Spatial synchrony of trout populations extended to 100–200 km but was much weaker than that of climate variables such as temperature, precipitation, and stream flow. Early life stage abundance changed over time due to annual variation in summer temperature and winter and spring stream flow conditions. Climate effects on abundance differed between sub-regions and among local populations within sub-regions, indicating multiple cross-scale interactions where climate interacted with local habitat to generate only a modest pattern of population synchrony over space. Overall, our analysis showed higher degrees of response heterogeneity of local populations to climate variation and consequently population asynchrony than previously shown based on analysis of individual, geographically restricted datasets. This response heterogeneity indicates that certain local segments characterized by population asynchrony and resistance to climate variation could represent unique populations of this iconic native coldwater fish that warrant targeted conservation. Advancing the conservation of this species can include actions that identify such priority populations and incorporate them into landscape-level conservation planning. Our approach is applicable to other widespread aquatic species sensitive to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17029","usgsCitation":"Valentine, G., Lu, X., Childress, E., Dolloff, C.A., Hitt, N.P., Kulp, M., Letcher, B., Pregler, K.C., Rash, J., Hooten, M.B., and Kanno, Y., 2024, Spatial asynchrony and cross-scale climate interactions in populations of a coldwater stream fish: Global Change Biology, v. 30, no. 1, e17029, 17 p., https://doi.org/10.1111/gcb.17029.","productDescription":"e17029, 17 p.","ipdsId":"IP-150602","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441021,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17029","text":"Publisher Index Page"},{"id":435087,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQID6G","text":"USGS data release","linkHelpText":"Brook trout abundance in streams across southern Appalachia from 1958-2021"},{"id":422835,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, George","contributorId":331697,"corporation":false,"usgs":false,"family":"Valentine","given":"George","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":888494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Xinyi","contributorId":279368,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":888495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Childress, Evan S.","contributorId":214287,"corporation":false,"usgs":false,"family":"Childress","given":"Evan S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":888496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dolloff, C. Andrew","contributorId":97405,"corporation":false,"usgs":true,"family":"Dolloff","given":"C.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":888497,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888498,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kulp, Matthew","contributorId":331700,"corporation":false,"usgs":false,"family":"Kulp","given":"Matthew","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":888499,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888500,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pregler, Kasey C.","contributorId":149616,"corporation":false,"usgs":false,"family":"Pregler","given":"Kasey","email":"","middleInitial":"C.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":888501,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rash, Jacob","contributorId":202482,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":888502,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hooten, Mevin B. 0000-0002-1614-723X","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":292295,"corporation":false,"usgs":false,"family":"Hooten","given":"Mevin","email":"","middleInitial":"B.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":888503,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":888504,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70256490,"text":"70256490 - 2024 - Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","interactions":[],"lastModifiedDate":"2024-08-07T15:47:33.915238","indexId":"70256490","displayToPublicDate":"2023-11-20T10:41:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors","docAbstract":"<h3 id=\"tafs10449-sec-0101-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Declines in Cisco<span>&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;</span>populations in some inland lakes have prompted assessments of Cisco occurrence and extirpation risk in relation to various stressors to identify refuge lakes and factors that promote Cisco persistence. However, most previous assessments have focused on presence–absence of Cisco rather than examining how population characteristics, such as relative abundance or growth, might change in relation to lake- and landscape-level environmental factors. Consequently, our specific objectives were to identify important environmental factors explaining variation in Cisco relative abundance and growth and to determine whether population metrics describing size and age distributions were related to relative abundance in Wisconsin inland lakes.</p><h3 id=\"tafs10449-sec-0102-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Cisco were collected from 48 inland Wisconsin lakes during 2011–2015 using vertical monofilament gill nets and population-specific relative abundance estimates (catch per unit effort [CPUE]) were quantified as the number of individuals per gill-net night. Sagittal otoliths were removed from a subsample of Cisco for age estimation and growth was indexed as mean total length (TL; mm) at age 2. Length and age data were used to develop a suite of metrics describing size and age distributions of each population. Random forest models were used to evaluate relationships between 10 biologically relevant predictor variables representing variation in physical, climatic, catchment, and limnological characteristics and Cisco CPUE and growth. Pearson correlations were used to determine whether population characteristics were related to CPUE.</p><h3 id=\"tafs10449-sec-0103-title\" class=\"article-section__sub-title section1\">Result</h3><p>Cisco populations exhibited large variation in relative abundance, growth, and size and age distributions. Best-fit random forest models explained approximately 25% of the variation in Cisco CPUE and 46% of the variation in growth. Growing degree-days and variables associated with availability, quality, and quantity of suitable oxythermal conditions were identified as important predictors of both Cisco CPUE and growth; CPUE was also identified as an important predictor of growth. Mean TL and mean TL at age 2 were negatively related to Cisco CPUE, whereas mean age, number of age-classes present, and maximum observed age were positively related to CPUE.</p><h3 id=\"tafs10449-sec-0104-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our results suggest that maintenance of suitable oxythermal habitat conditions may be critical to conserving abundant Cisco populations. Our assessment also provides insights on how Cisco populations may respond to environmental and anthropogenic stressors, which could aid ongoing and future conservation and management efforts in Wisconsin and elsewhere.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10449","collaboration":"Wisconsin Department of Natural Resources","usgsCitation":"Dembkowski, D., Shrovnal, J.S., Parks, T.P., Sass, G., Lyons, J., and Isermann, D.A., 2024, Cisco population characteristics in Wisconsin lakes in relation to lake- and landscape-level factors: Transactions of the American Fisheries Society, v. 153, no. 1, p. 93-111, https://doi.org/10.1002/tafs.10449.","productDescription":"19 p.","startPage":"93","endPage":"111","ipdsId":"IP-151111","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":432343,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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P.","contributorId":340869,"corporation":false,"usgs":false,"family":"Parks","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":81673,"text":"Wisconsin Department of Natural Resources, Bureau of Fisheries Management","active":true,"usgs":false}],"preferred":false,"id":907619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Greg G.","contributorId":340870,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907620,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, John","contributorId":340871,"corporation":false,"usgs":false,"family":"Lyons","given":"John","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":907621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907622,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250119,"text":"70250119 - 2024 - Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","interactions":[],"lastModifiedDate":"2024-07-01T14:09:36.420678","indexId":"70250119","displayToPublicDate":"2023-11-17T07:01:37","publicationYear":"2024","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":"Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling","docAbstract":"<div id=\"138778396\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Deformation along strike-slip plate margins often accumulates within structurally partitioned and rheologically heterogeneous crustal blocks within the plate boundary. In these cases, contrasts in the physical properties and state of juxtaposed crustal blocks may play an important role in accommodation of deformation. Near the San Francisco Bay Area, California, USA, the Pacific−North American plate-bounding San Andreas fault bisects the Santa Cruz Mountains (SCM), which host numerous distinct, fault-bounded lithotectonic blocks that surround the San Andreas fault zone. In the SCM, a restraining bend in the San Andreas fault (the SCM bend) caused recent uplift of the mountain range since ca. 4 Ma. To understand how rheologic heterogeneity within a complex fault zone might influence deformation, we quantified plausible bounds on deformation and uplift across two adjacent SCM lithotectonic blocks on the Pacific Plate whose stratigraphic and tectonic histories differ. This was accomplished by combining 31 new apatite (U-Th)/He ages with existing thermochronological datasets to constrain exhumation of these two blocks. Additionally, surface exposures of the latest Miocene to late Pliocene Purisima Formation interpreted in 18 structural cross sections spanning the SCM allowed construction and restoration of Pliocene deformation in a three-dimensional geologic model. We found that rock uplift and deformation concentrated within individual Pacific Plate lithotectonic blocks in the SCM. Since 4 Ma, maximum principal strain computed for the more deformed block adjacent to the fault exceeded that computed for the less deformed block by at least 375%, and cumulative uplift has been more spatially extensive and higher in magnitude. We attribute the difference in uplift and deformation between the two blocks primarily to contrasts in lithotectonic structure, which resulted from diverging geologic histories along the evolving plate boundary.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36528.1","usgsCitation":"Baden, C.W., Shuster, D.L., Hourigan, J., Gooley, J.T., Cahill, M., and Hilley, G.E., 2024, Crustal block-controlled contrasts in deformation, uplift, and exhumation in the Santa Cruz Mountains, California, USA, imaged through apatite (U-Th)/He thermochronology and 3-D geological modeling: Geological Society of America Bulletin, v. 136, no. 77-8, p. 2789-2814, https://doi.org/10.1130/B36528.1.","productDescription":"26 p.","startPage":"2789","endPage":"2814","ipdsId":"IP-138230","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":441034,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36528.1","text":"Publisher Index Page"},{"id":422781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.9348200302511,\n              37.885321620398926\n            ],\n            [\n              -122.9348200302511,\n              36.64380432009875\n            ],\n            [\n              -121.19898018650117,\n              36.64380432009875\n            ],\n            [\n              -121.19898018650117,\n              37.885321620398926\n            ],\n            [\n              -122.9348200302511,\n              37.885321620398926\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"136","issue":"77-8","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Baden, Curtis William 0000-0002-9479-8660","orcid":"https://orcid.org/0000-0002-9479-8660","contributorId":331679,"corporation":false,"usgs":true,"family":"Baden","given":"Curtis","email":"","middleInitial":"William","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":888451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shuster, David L.","contributorId":241607,"corporation":false,"usgs":false,"family":"Shuster","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":888452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hourigan, Jeremy H.","contributorId":331680,"corporation":false,"usgs":false,"family":"Hourigan","given":"Jeremy H.","affiliations":[{"id":79264,"text":"Department of Earth and Planetary Sciences, University of California-Santa Cruz, 1156 High Street, Santa Cruz, California, 95064, USA","active":true,"usgs":false}],"preferred":false,"id":888453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":888454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahill, Melanie","contributorId":331681,"corporation":false,"usgs":false,"family":"Cahill","given":"Melanie","email":"","affiliations":[{"id":79265,"text":"Department of Geological Sciences, Stanford University, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":888455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilley, George E.","contributorId":197258,"corporation":false,"usgs":false,"family":"Hilley","given":"George","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":888456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250630,"text":"70250630 - 2024 - Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","interactions":[],"lastModifiedDate":"2023-12-21T13:04:55.028689","indexId":"70250630","displayToPublicDate":"2023-11-17T07:01:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho","docAbstract":"<p id=\"spara011\">The Snake River Plain (SRP) volcanic province overlies the track of the Yellowstone hotspot, a thermal anomaly that extends deep into the mantle. Most of the area is underlain by a basaltic volcanic province that overlies a mid-crustal intrusive complex, which in turn provides the long-term heat flux needed to sustain geothermal systems. Previous studies have identified several known geothermal resource areas within the SRP. For the geothermal study presented herein, our goals were to: (1) adapt the methodology of Play Fairway Analysis (PFA) for geothermal exploration to create a formal basis for its application to geothermal systems, (2) assemble relevant data for the SRP from publicly available and private sources, and (3) build a geothermal PFA model for the SRP and identify the most promising plays, using GIS-based software tools that are standard in the petroleum industry.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2023.102865","usgsCitation":"Shervais, J., DeAngelo, J., Glen, J.M., Nielson, D.L., Garg, S., Dobson, P., Gasperikova, E., Sonnenthal, E., Liberty, L.M., Newell, D.L., Siler, D.L., and Evans, J., 2024, Geothermal play fairway analysis, part 1: Example from the Snake River Plain, Idaho: Geothermics, v. 117, 102865, 18 p., https://doi.org/10.1016/j.geothermics.2023.102865.","productDescription":"102865, 18 p.","ipdsId":"IP-148317","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://scholarworks.boisestate.edu/geo_facpubs/793","text":"Publisher Index Page"},{"id":423835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.65263007713202,\n              44.08978176904034\n            ],\n            [\n              -116.65263007713202,\n              42.23078197264857\n            ],\n            [\n              -111.51102851463182,\n              42.23078197264857\n            ],\n            [\n              -111.51102851463182,\n              44.08978176904034\n            ],\n            [\n              -116.65263007713202,\n              44.08978176904034\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shervais, John W.","contributorId":237914,"corporation":false,"usgs":false,"family":"Shervais","given":"John W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nielson, Dennis L.","contributorId":332606,"corporation":false,"usgs":false,"family":"Nielson","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":79512,"text":"DOSECC Exploration Services LLC","active":true,"usgs":false}],"preferred":false,"id":890639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garg, Sabodh","contributorId":193564,"corporation":false,"usgs":false,"family":"Garg","given":"Sabodh","email":"","affiliations":[],"preferred":false,"id":890640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dobson, Patrick","contributorId":193558,"corporation":false,"usgs":false,"family":"Dobson","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":890641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gasperikova, Erika","contributorId":193561,"corporation":false,"usgs":false,"family":"Gasperikova","given":"Erika","affiliations":[],"preferred":false,"id":890642,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sonnenthal, Eric","contributorId":146807,"corporation":false,"usgs":false,"family":"Sonnenthal","given":"Eric","affiliations":[],"preferred":false,"id":890643,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liberty, Lee M. 0000-0003-2793-8173","orcid":"https://orcid.org/0000-0003-2793-8173","contributorId":332607,"corporation":false,"usgs":false,"family":"Liberty","given":"Lee","email":"","middleInitial":"M.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":890644,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Newell, Dennis L.","contributorId":332608,"corporation":false,"usgs":false,"family":"Newell","given":"Dennis","email":"","middleInitial":"L.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890645,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Siler, Drew Lorenz 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":303226,"corporation":false,"usgs":false,"family":"Siler","given":"Drew","email":"","middleInitial":"Lorenz","affiliations":[{"id":65720,"text":"Geologica Geothermal Group, LLC.","active":true,"usgs":false}],"preferred":false,"id":890646,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Evans, James P.","contributorId":332609,"corporation":false,"usgs":false,"family":"Evans","given":"James P.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":890647,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70250796,"text":"70250796 - 2024 - Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation","interactions":[],"lastModifiedDate":"2024-01-05T13:09:50.799365","indexId":"70250796","displayToPublicDate":"2023-11-16T07:07:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation","docAbstract":"<p>Recent climate change should result in expansion of species to northern or high elevation range margins, and contraction at southern and low elevation margins in the northern hemisphere, because of local extirpations or range shifts or both. We combined museum occurrence records from both the continental U.S. and Mexico with a new eco-physiological model of extinction developed for lizard families of the world to predict the distributions of 30 desert-endemic reptile and amphibian species under climate change scenarios. The model predicts that 38 % of local populations will go extinct in the next 50 years, across all 30 species. However, extinctions may be attenuated in forested sites and by the presence of montane environments in contemporary ranges. Of the 30 species, three were at very high risk of extinction as a result of their thermal limits being exceeded, which illustrates the predictive value of ecophysiological modeling approaches for conservation studies. In tandem with global strategies of limiting CO2 emissions, we propose urgent regional management strategies for existing and new reserves that are targeted at three species: Barred Tiger Salamander (Ambystomatidae: Ambystoma mavortium stebbinsi), Desert Short-horned Lizard (Phrynosomatidae: Phrynosoma ornatissimum), and Morafka's Desert Tortoise (Testudinidae: Gopherus morafkai), which face a high risk of extinction by 2070. These strategies focus on assisted migration and preservation within climatic refugia, such as high-elevation and forested habitats. We forecast where new reserves should be established by merging our model of extinction risk with gap analysis. We also highlight that acclimation (i.e., phenotypic plasticity) could ameliorate risk of extinction but is rarely included in ecophysiological models. We use Ambystoma salamanders to show how acclimation can be incorporated into such models of extinction risk.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168431","usgsCitation":"Sinervo, B., Lara Resendiz, R.A., Miles, D.B., Lovich, J.E., Rosen, P., Gadsden, H., Castenada Gaytan, G., Galina Tessaro, P., Luja, V.H., Huey, R.B., Whipple, A., Sanchez Cordero, V., Rohr, J.B., Caetano, G., Santos, J., , S., and Mendez de la Cruz, F.R., 2024, Climate change and collapsing thermal niches of desert reptiles and amphibians: Assisted migration and acclimation rescue from extirpation: Science of the Total Environment, v. 908, 168431, 17 p., https://doi.org/10.1016/j.scitotenv.2023.168431.","productDescription":"168431, 17 p.","ipdsId":"IP-093986","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168431","text":"Publisher Index Page"},{"id":424132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.37303556245814,\n              53.14080455904667\n            ],\n            [\n              -129.37303556245814,\n              6.349090305167309\n            ],\n            [\n              -60.818348062458284,\n              6.349090305167309\n            ],\n            [\n              -60.818348062458284,\n              53.14080455904667\n            ],\n            [\n              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Resendiz","given":"Rafael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":891507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miles, Donald B.","contributorId":211745,"corporation":false,"usgs":false,"family":"Miles","given":"Donald","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":891508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":891509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Philip C.","contributorId":332953,"corporation":false,"usgs":false,"family":"Rosen","given":"Philip C.","affiliations":[{"id":79699,"text":"School of Natural Resources & the Environment, University of Arizona, Tucson AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":891510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gadsden, Hector","contributorId":211754,"corporation":false,"usgs":false,"family":"Gadsden","given":"Hector","email":"","affiliations":[],"preferred":false,"id":891511,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castenada Gaytan, Gamaliel","contributorId":211755,"corporation":false,"usgs":false,"family":"Castenada Gaytan","given":"Gamaliel","email":"","affiliations":[],"preferred":false,"id":891512,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Galina Tessaro, Patricia","contributorId":332954,"corporation":false,"usgs":false,"family":"Galina Tessaro","given":"Patricia","email":"","affiliations":[{"id":79700,"text":"Centro de investigaciones Biológicas del Noroeste, La Paz, Baja California Sur, México","active":true,"usgs":false}],"preferred":false,"id":891513,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Luja, Victor H.","contributorId":332955,"corporation":false,"usgs":false,"family":"Luja","given":"Victor","email":"","middleInitial":"H.","affiliations":[{"id":79701,"text":"Coordinación de Investigación y Posgrado, Unidad Académica de Turismo, Universidad Autónoma de Nayarit, Ciudad de la Cultura S/N. C.P., 63000 Tepic, Nayarit, México","active":true,"usgs":false}],"preferred":false,"id":891514,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Huey, Raymond B.","contributorId":211765,"corporation":false,"usgs":false,"family":"Huey","given":"Raymond","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":891515,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whipple, Amy V.","contributorId":268851,"corporation":false,"usgs":false,"family":"Whipple","given":"Amy V.","affiliations":[{"id":55693,"text":"N. Arizona U.","active":true,"usgs":false}],"preferred":false,"id":891516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sanchez Cordero, Victor","contributorId":332956,"corporation":false,"usgs":false,"family":"Sanchez Cordero","given":"Victor","email":"","affiliations":[{"id":79702,"text":"Departamento de Zoología, Instituto de Biología, Universidad Nacional Autónoma de Mexico, Mexico City, Mexico","active":true,"usgs":false}],"preferred":false,"id":891517,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rohr, Jason B.","contributorId":332957,"corporation":false,"usgs":false,"family":"Rohr","given":"Jason","email":"","middleInitial":"B.","affiliations":[{"id":79703,"text":"Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana USA","active":true,"usgs":false}],"preferred":false,"id":891518,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Caetano, Gabriel","contributorId":211753,"corporation":false,"usgs":false,"family":"Caetano","given":"Gabriel","email":"","affiliations":[],"preferred":false,"id":891519,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Santos, Juan C.","contributorId":332958,"corporation":false,"usgs":false,"family":"Santos","given":"Juan C.","affiliations":[{"id":79704,"text":"Department of Biological Sciences, St. John's University, Queens, New York, NY 11439 USA","active":true,"usgs":false}],"preferred":false,"id":891520,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":" Sites","contributorId":332959,"corporation":false,"usgs":false,"given":"Sites","email":"","affiliations":[{"id":79705,"text":"Department of Biology, Brigham Young University, Provo, UT 84602, USA","active":true,"usgs":false}],"preferred":false,"id":891521,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mendez de la Cruz, Fausto R.","contributorId":211767,"corporation":false,"usgs":false,"family":"Mendez de la Cruz","given":"Fausto","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":891522,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70250015,"text":"70250015 - 2024 - Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","interactions":[],"lastModifiedDate":"2023-11-14T12:44:02.369109","indexId":"70250015","displayToPublicDate":"2023-11-14T06:31:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","docAbstract":"<p id=\"abspara0010\">Acid mine drainage (AMD) has been proposed as a novel source of rare earth elements (REE), a group of elements that includes critical metals for clean energy and modern technologies. REE are sequestered in the Fe–Al–Mn-rich precipitates produced during the treatment of AMD. These AMD solids are typically managed as waste but could be a REE source. Here, results from AMD solids characterization and geochemical modeling are presented to determine the minerals/solid phases that are enriched in REE and identify the mechanism(s) of REE attenuation.</p><p id=\"abspara0015\">AMD solids collected from limestone-based AMD treatment systems were subjected to sequential extraction and synchrotron microprobe analyses to characterize the binding nature of the REE. The results of these analyses indicated REEs were mainly associated with Al or Mn phases. Only selected REE (Gd, Dy) were associated with Fe phases, which were less abundant than Al and Mn phases in analyzed samples. The sequential extractions demonstrated that acidic and/or reducing extractions effectively mobilize REE from the AMD solids evaluated. The observed element associations in solids are consistent with geochemical model results that indicate dissolved REE can be effectively attenuated by adsorption on freshly precipitated Fe, Al, and Mn oxides/hydroxides. The model, which simulates dissolution of CaCO<sub>3</sub><span>&nbsp;</span>and the precipitation of Fe, Al, and Mn oxides with increased pH, accurately predicts the pH dependent accumulation of dissolved REE with Al, Mn, and Fe oxides/hydroxides in the studied AMD treatment systems.</p><p id=\"abspara0020\">The methods and results presented here can be used to identify conditions favorable for accumulation of REE-enriched AMD solids and possible passive or active treatment(s) to extract REE from AMD. This information can be used to design AMD treatment systems for the recovery of REE and is an opportunity to transform the challenges of addressing polluted mine drainage into an environmental and economic asset.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.140475","usgsCitation":"Hedin, B.C., Stuckman, M.Y., Cravotta, C., Lopano, C.L., and Capo, R.C., 2024, Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes: Chemosphere, v. 346, 140475, 11 p., https://doi.org/10.1016/j.chemosphere.2023.140475.","productDescription":"140475, 11 p.","ipdsId":"IP-137193","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":489750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2023.140475","text":"Publisher Index Page"},{"id":422569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Nittany Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.6915588455888,\n              40.889264939825125\n            ],\n            [\n              -77.74043119099201,\n              40.86094174296804\n            ],\n            [\n              -77.76765728174179,\n              40.8412333674774\n            ],\n            [\n              -77.806008011722,\n              40.8139863010457\n            ],\n            [\n              -77.81186308500129,\n              40.80423666433518\n            ],\n            [\n              -77.7945906188272,\n              40.797588363458004\n            ],\n            [\n              -77.72608626145784,\n              40.827278951555826\n            ],\n            [\n              -77.6259835482281,\n              40.88501500745158\n            ],\n            [\n              -77.61175523964981,\n              40.91694573774306\n            ],\n            [\n              -77.56568336000083,\n              40.94503305030968\n            ],\n            [\n              -77.53959683505036,\n              40.95713104925308\n            ],\n            [\n              -77.52375526404049,\n              40.97219126469736\n            ],\n            [\n              -77.47335590562307,\n              40.99651435095521\n            ],\n            [\n              -77.41329248330241,\n              41.02274875679197\n            ],\n            [\n              -77.38564576674825,\n              41.03286503303716\n            ],\n            [\n              -77.3523714117554,\n              41.03731590539665\n            ],\n            [\n              -77.32765895019021,\n              41.050390091453885\n            ],\n            [\n              -77.33988744578423,\n              41.06244026346151\n            ],\n            [\n              -77.35333489791346,\n              41.07826568733469\n            ],\n            [\n              -77.39674411075902,\n              41.07338314150051\n            ],\n            [\n              -77.44282724193602,\n              41.04780222383839\n            ],\n            [\n              -77.50746965664622,\n              41.00984589551416\n            ],\n            [\n              -77.58390869858836,\n              40.96541159571884\n            ],\n            [\n              -77.64100379266768,\n              40.93550538517805\n            ],\n            [\n              -77.66161289883395,\n              40.91141991096799\n            ],\n            [\n              -77.6915588455888,\n              40.889264939825125\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"346","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hedin, Benjamin C.","contributorId":331535,"corporation":false,"usgs":false,"family":"Hedin","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[{"id":79234,"text":"Hedin Environmental, Inc., 195 Castle Shannon Blvd., Pittsburgh, PA 15228","active":true,"usgs":false}],"preferred":false,"id":887995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckman, Mengling Y.","contributorId":331536,"corporation":false,"usgs":false,"family":"Stuckman","given":"Mengling","email":"","middleInitial":"Y.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopano, Christina L.","contributorId":331537,"corporation":false,"usgs":false,"family":"Lopano","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Capo, Rosemary C.","contributorId":331538,"corporation":false,"usgs":false,"family":"Capo","given":"Rosemary","email":"","middleInitial":"C.","affiliations":[{"id":79237,"text":"Department of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, PA, 15260","active":true,"usgs":false}],"preferred":false,"id":887999,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250204,"text":"70250204 - 2024 - Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","interactions":[],"lastModifiedDate":"2023-11-28T12:58:51.767248","indexId":"70250204","displayToPublicDate":"2023-11-09T06:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\">In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modeling. Often,<span>&nbsp;</span><a class=\"topic-link\" title=\"Learn more about streamflow from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/streamflow\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/streamflow\">streamflow</a><span>&nbsp;</span>metrics are derived from aggregating continuous streamflow records available at a subset of stream gages into long-term flow regime descriptors. Despite demonstrated value, shortcomings of these long-term approaches include spatial restriction to locations with long-term continuous flow records (commonly, biased toward larger systems) and omission of potentially ecologically important short-term (i.e., ≤1&nbsp;year) antecedent streamflow information. We used long-term flow regime and short-term antecedent streamflow alteration information to evaluate relative performance in modeling stream fish biological condition. We compared results to understand whether short-term antecedent streamflow information improved models of fish biological condition. Results indicated that models incorporating short-term antecedent data performed better than those relying solely on long-term flow regime data (kappa statistic&nbsp;=&nbsp;0.29 and 0.23, respectively) and improved prediction accuracy among stream sizes and in six of nine ecoregions. Additionally, models relying solely on short-term streamflow information performed similarly to those with only long-term streamflow information (kappa&nbsp;=&nbsp;0.23). Incorporating short-term antecedent streamflow metrics may provide added ecological information not fully captured by long-term flow regime summaries in macroscale modeling efforts or perform similarly to long-term streamflow data when long-term data are not available.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168258","usgsCitation":"Woods, T., Eng, K., Carlisle, D.M., Cashman, M.J., Meador, M.R., Ryberg, K.R., and Maloney, K.O., 2024, Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition: Science of the Total Environment, v. 908, 168258, 9 p., https://doi.org/10.1016/j.scitotenv.2023.168258.","productDescription":"168258, 9 p.","ipdsId":"IP-155632","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168258","text":"Publisher Index Page"},{"id":423009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"908","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":888817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":888819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265541,"text":"70265541 - 2024 - Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","interactions":[],"lastModifiedDate":"2025-04-14T14:59:19.60552","indexId":"70265541","displayToPublicDate":"2023-11-08T07:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","docAbstract":"<p><span>Preferential flow in the unsaturated zone strongly influences important hydrologic processes, such as infiltration, contaminant transport, and aquifer recharge. Because it entails various combinations of physical processes arising from the interactions of water, air, and solid particles in a porous medium, preferential flow is highly complex. Major research is needed to improve the ability to understand, quantify, model, and predict preferential flow. Toward a solution, a combination of diverse experimental measurements at multiple scales, from laboratory scale to mesoscale, has been implemented to detect and quantify preferential paths in carbonate and karstic unsaturated zones. This involves integration of information from (1) core samples, by means of mercury intrusion porosimeter, evaporation, quasi-steady centrifuge and dewpoint potentiometer laboratory methods, to investigate the effect of pore-size distribution on hydraulic characteristics and the potential activation of preferential flow, (2) field plot experiments with artificial sprinkling, to visualize preferential pathways related to secondary porosity, through use of geophysical measurements, and (3) mesoscale evaluation of field data through episodic master recession modeling of episodic recharge. This study demonstrates that preferential flow processes operate from core scale to two different field scales and impact on the qualitative and quantitative groundwater status, by entailing fast flow with subsequent effects on recharge rate and contaminant mobilizing. The presented results represent a rare example of preferential flow detection and numerical modeling by reducing underestimation of the recharge and contamination risks.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10040-023-02733-3","usgsCitation":"Caputo, M.C., De Carlo, L., Masciale, R., Perkins, K., Turturro, A., and Nimmo, J.R., 2024, Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches: Hydrogeology Journal, v. 32, p. 467-485, https://doi.org/10.1007/s10040-023-02733-3.","productDescription":"19 p.","startPage":"467","endPage":"485","ipdsId":"IP-154640","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-023-02733-3","text":"Publisher Index Page"},{"id":484496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Bari","otherGeospatial":"Apulia Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              16.69243585627035,\n              41.22008353121049\n            ],\n            [\n              16.723263851427802,\n              41.048118236977714\n            ],\n            [\n              17.078664904300638,\n              40.82955430051331\n            ],\n            [\n              18.547099758451623,\n              40.035404755129974\n            ],\n            [\n              18.558702660409736,\n              40.23218241073464\n            ],\n            [\n              18.044813946689686,\n              40.80608860459688\n            ],\n            [\n              16.69243585627035,\n              41.22008353121049\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Caputo, Maria Clementina","contributorId":298645,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria","email":"","middleInitial":"Clementina","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Carlo, Lorenzo","contributorId":298644,"corporation":false,"usgs":false,"family":"De Carlo","given":"Lorenzo","email":"","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masciale, Rita","contributorId":353110,"corporation":false,"usgs":false,"family":"Masciale","given":"Rita","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":932987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turturro, Antonietta Celeste","contributorId":353112,"corporation":false,"usgs":false,"family":"Turturro","given":"Antonietta Celeste","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932989,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70253099,"text":"70253099 - 2024 - Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","interactions":[],"lastModifiedDate":"2024-04-19T11:46:05.821429","indexId":"70253099","displayToPublicDate":"2023-11-07T06:43:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides","docAbstract":"<div><div id=\"142708163\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Earthquake‐induced landslides can record information about the seismic shaking that generated them. In this study, we present new mapping, Light Detection and Ranging‐derived roughness dating, and analysis of over 1000 deep‐seated landslides from the Puget Lowlands of Washington, U.S.A., to probe the landscape for past Seattle fault earthquake information. With this new landslide inventory, we observe spatial and temporal evidence of landsliding related to the last major earthquake on the Seattle fault ∼1100&nbsp;yr before present. We find spatial clusters of landslides that correlate with ground motions from recent 3D kinematic models of Seattle fault earthquakes. We also find temporal patterns in the landslide inventory that suggest earthquake‐driven increases in landsliding. We compare the spatial and temporal landslide data with scenario‐based ground motion models and find stronger evidence of the last major Seattle fault earthquake from this combined analysis than from spatial or temporal patterns alone. We also compare the landslide inventory with ground motions from different Seattle fault earthquake scenarios to determine the ground motion distributions that are most consistent with the landslide record. We find that earthquake scenarios that best match the clustering of ∼1100‐year‐old landslides produce the strongest shaking within a band that stretches from west to east across central Seattle as well as along the bluffs bordering the broader Puget Sound. Finally, we identify other landslide clusters (at 4.6–4.2&nbsp;ka, 4.0–3.8&nbsp;ka, 2.8–2.6&nbsp;ka, and 2.2–2.0&nbsp;ka) in the inventory which let us infer potential ground motions that may correspond to older Seattle fault earthquakes. Our method, which combines hindcasting of the surface response to the last major Seattle fault earthquake, using a roughness‐aged landslide inventory with forecasts of modeled ground shaking from 3D seismic scenarios, showcases a powerful new approach to gleaning paleoseismic information from landscapes.</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230079","usgsCitation":"Herzig, E., Duvall, A., Booth, A., Stone, I.P., Wirth, E.A., LaHusen, S.R., Wartman, J., and Grant, A.R., 2024, Evidence of Seattle Fault earthquakes from patterns of deep-seated landslides: Bulletin of the Seismological Society of America, v. 114, no. 2, p. 1084-1102, https://doi.org/10.1785/0120230079.","productDescription":"19 p.","startPage":"1084","endPage":"1102","ipdsId":"IP-149878","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":427938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzig, Erich","contributorId":335677,"corporation":false,"usgs":false,"family":"Herzig","given":"Erich","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duvall, Alison","contributorId":238893,"corporation":false,"usgs":false,"family":"Duvall","given":"Alison","affiliations":[],"preferred":false,"id":899151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Booth, Adam","contributorId":220454,"corporation":false,"usgs":false,"family":"Booth","given":"Adam","affiliations":[],"preferred":false,"id":899152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":899154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":899155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wartman, Joseph 0000-0001-7659-7198","orcid":"https://orcid.org/0000-0001-7659-7198","contributorId":241918,"corporation":false,"usgs":false,"family":"Wartman","given":"Joseph","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":899156,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":899157,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257468,"text":"70257468 - 2024 - No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians","interactions":[],"lastModifiedDate":"2024-08-16T15:07:31.088846","indexId":"70257468","displayToPublicDate":"2023-11-06T10:02:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians","docAbstract":"<p><span>In 2001 and 2002, 52 elk (</span><i>Cervus canadensis</i><span>; 21 males, 31 females), originally obtained from Elk Island National Park, Alberta, Canada, were transported and released into Cataloochee Valley in the northeastern portion of Great Smoky Mountains National Park (GRSM, Park), North Carolina, USA. The annual population growth rate (</span><i>λ</i><span>) was negative (0.996, 95% CI = 0.945–1.047) and predation by black bears (</span><i>Ursus americanus</i><span>) on elk calves was identified as an important determinant of population growth. From 2006 to 2008, 49 bears from the primary elk calving area (i.e., Cataloochee Valley) were trapped and translocated about 70 km to the southwestern portion of the Park just prior to elk calving. Per capita recruitment (i.e., the number of calves produced per adult female that survive to 1 year of age) increased from 0.306 prior to bear translocation (2001–2005) to 0.544 during years when bears were translocated (2006–2008) and&nbsp;</span><i>λ</i><span>&nbsp;increased to 1.118 (95% CI = 1.096–1.140). Our objective was to determine whether per capita calf recruitment rates after bear removal (2009–2019) at Cataloochee were similar to the higher rates estimated during bear removal (i.e., long-term response) or if they returned to rates before bear removal (i.e., short-term response), and how those rates compared with recruitment from portions of our study area where bears were not relocated. We documented 419 potential elk calving events and monitored 129 yearling and adult elk from 2001 to 2019. Known-fate models based on radio-telemetry and observational data supported calf recruitment returning to pre-2006 levels at Cataloochee (short-term response); recruitment of Cataloochee elk before and after bear relocation was lower (0.184) than during bear relocation (0.492). Recruitment rates of elk outside the removal area during the bear relocation period (0.478) were similar to before and after rates (0.420). In the Cataloochee Valley, cause-specific annual calf mortality rates due to predation by bears were 0.319 before, 0.120 during, and 0.306 after bear relocation. In contrast, the cause-specific annual mortality rate of calves in areas where bears were not relocated was 0.033 after the bear relocation period, with no bear predation on calves before or during bear relocation. The mean annual population growth rate for all monitored elk was 1.062 (95% CI = 0.979–1.140) after bear relocation based on the recruitment and survival data. Even though the effects of bear removal were temporary, the relocations were effective in achieving a short-term increase in elk recruitment, which was important for the reintroduction program given that the elk population was small and vulnerable to extirpation.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22522","usgsCitation":"Yarkovich, J.G., Braunstein, J.L., Mullinax, J.M., and Clark, J.D., 2024, No long-term effect of black bear removal on elk calf recruitment in the southern Appalachians: Journal of Wildlife Management, v. 88, e22522, 19 p., https://doi.org/10.1002/jwmg.22522.","productDescription":"e22522, 19 p.","ipdsId":"IP-151115","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22522","text":"Publisher Index Page"},{"id":432859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Great Smoky Mountains National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.39446616307593,\n              35.34908542134272\n            ],\n            [\n              -83.0636158648346,\n              35.47482669066018\n            ],\n            [\n              -82.86476283583953,\n              35.658891970547856\n            ],\n            [\n              -83.0207596085856,\n              35.74798343179633\n            ],\n            [\n              -83.14761412708188,\n              35.64914155318964\n            ],\n            [\n              -83.38589491182597,\n              35.51530150997276\n            ],\n            [\n              -83.54360593482207,\n              35.45388343943314\n            ],\n            [\n              -83.44760792082488,\n              35.32251496983187\n            ],\n            [\n              -83.39446616307593,\n              35.34908542134272\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2023-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Yarkovich, Joseph G.","contributorId":244820,"corporation":false,"usgs":false,"family":"Yarkovich","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":910494,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braunstein, Jessica L.","contributorId":342231,"corporation":false,"usgs":false,"family":"Braunstein","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910495,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":910496,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910497,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70251432,"text":"70251432 - 2024 - Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis","interactions":[],"lastModifiedDate":"2024-02-10T13:59:33.675702","indexId":"70251432","displayToPublicDate":"2023-11-04T07:57:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17154,"text":"Soil Biology and Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\"><span>Biocrusts are critical biological components of drylands and play an important role in&nbsp;soil carbon&nbsp;(C) cycling. However, the effect of biocrusts on soil CO</span><sub>2</sub><span>&nbsp;exchange across global gradients of temperature and moisture is poorly understood. Moreover, their response to climate change remains highly uncertain. Bayesian hierarchical meta-analyses were performed on 47 published studies to quantify the impact of biocrusts on net soil exchange (NSE) of carbon- the difference between respiration and&nbsp;photosynthesis. Meta-analyses were also used on 23 studies to examine the effects of experimental warming on NSE in biocrusts. Meta-regressions further explored the thermal and wetness sensitivities of biocrust NSE and potential adaptation of biocrust responses to climate change. The development of biocrusts in&nbsp;dryland soils&nbsp;significantly increased NSE by 66.5 [22.2, 112.2] g C m</span><sup>−2</sup>yr<sup>−1</sup>, despite seasonal fluctuations, indicating a net loss of carbon to the atmosphere. Experimental warming, on average, increased biocrust NSE by 22.9 [-0.1, 40.8] g C m<sup>−2</sup>yr<sup>−1</sup><span>&nbsp;per °C. However, across the spatial climate gradient, aridity limited the effects of warming, while high temperature decreased the thermal sensitivity of biocrust NSE, thus supporting the&nbsp;thermal adaptation&nbsp;of biocrusts. These results emphasize the critical role of biocrusts in modulating soil carbon exchange in response to climate warming across drylands, with particularly high thermal sensitivity in cool and moist regions. This highlights the need to incorporate biocrusts into global&nbsp;carbon budgets&nbsp;and models for a comprehensive understanding of their impact on the&nbsp;carbon cycle.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.soilbio.2023.109214","usgsCitation":"Sun, J., Yu, K., Chen, N., Munson, S.M., Li, X., and Jia, R., 2024, Biocrusts modulate carbon losses under warming across global drylands: A bayesian meta-analysis: Soil Biology and Biogeochemistry, v. 188, 109214, 8 p., https://doi.org/10.1016/j.soilbio.2023.109214.","productDescription":"109214, 8 p.","ipdsId":"IP-150212","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soilbio.2023.109214","text":"Publisher Index Page"},{"id":425567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"188","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, Jingyao","contributorId":334033,"corporation":false,"usgs":false,"family":"Sun","given":"Jingyao","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Kailiang","contributorId":221398,"corporation":false,"usgs":false,"family":"Yu","given":"Kailiang","email":"","affiliations":[{"id":40362,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA 22904, USA","active":true,"usgs":false}],"preferred":false,"id":894556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Ning","contributorId":221399,"corporation":false,"usgs":false,"family":"Chen","given":"Ning","email":"","affiliations":[{"id":40363,"text":"College of Life Sciences, Lanzhou University, Lanzhou 730000, China","active":true,"usgs":false}],"preferred":false,"id":894557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":894558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Xinrong","contributorId":334034,"corporation":false,"usgs":false,"family":"Li","given":"Xinrong","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jia, Rongliang","contributorId":334035,"corporation":false,"usgs":false,"family":"Jia","given":"Rongliang","email":"","affiliations":[{"id":80044,"text":"Shapotou Desert Research and Experiment Station, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, 730000, China","active":true,"usgs":false}],"preferred":false,"id":894560,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}