{"pageNumber":"91","pageRowStart":"2250","pageSize":"25","recordCount":184626,"records":[{"id":70263739,"text":"tm14A3 - 2025 - Grfin Tools—User guide and methods for modeling landslide runout and debris-flow growth and inundation","interactions":[],"lastModifiedDate":"2026-01-26T19:50:21.220267","indexId":"tm14A3","displayToPublicDate":"2025-02-21T10:59:08","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"14-A3","displayTitle":"Grfin Tools—User Guide and Methods for Modeling Landslide Runout and Debris-Flow Growth and Inundation","title":"Grfin Tools—User guide and methods for modeling landslide runout and debris-flow growth and inundation","docAbstract":"<p>The software package, Grfin Tools, can estimate potential runout from landslides or inundation from geophysical mass flows such as debris flows, lahars from volcanoes, and rock avalanches within a digital elevation model (DEM). Grfin is an acronym of <strong><i>gr</i></strong>owth + <strong><i>f</i></strong>low + <strong><i>in</i></strong>undation. The tools within this package apply simple, well-tested, empirical models of runout that are computationally efficient and require minimal parameters. These tools can be used individually (for example, to estimate debris-flow inundation) or in combination to represent a more complete series of linked processes, from landslide source areas, to unchannelized transport, to channelized flows. Grfin Tools can rapidly assess potential runout and inundation over large areas and the results are readily visualized in a geographic information system.</p><p>Tools for assessing areas affected by runout and flow inundation include a height-to-length (<i>H</i>/<i>L</i>) ratio, angle-of-reach approach for estimating open-slope, unchannelized landslide runout, and volume-area scaling relations for assessing flow inundation in channels. Potential landslide areas that constitute the sources of runout or inundation can be delineated with topographic features, such as slope and (or) curvature, derived by the software package, or by employing potential sources derived from other landslide susceptibility models. Grfin Tools also has the capability to assess inundation from flows that grow volumetrically downstream. This is a vital feature, as larger flows commonly result in longer runout and larger inundation. The software uses empirically derived growth factors applied over upslope contributing source areas or upstream channel lengths to integrate the effects of various growth processes, such as channel entrainment, streambank failures, adjacent landslides, and hillslope erosion. Inundation follows a drainage network defined with a separate tool that uses topographic curvature to identify channel initiation locations.</p><p>This document includes information on using Grfin Tools, the basis and methods underlying the tools and models, detailed descriptions of the software input and output files, and tips for handling special conditions such as roads and large water bodies. Multiple detailed examples illustrating different applications are also presented. Grfin Tools relies on the freely available TauDEM software package (Tarboton, 2005). The Grfin Tools software release is available from Cronkite-Ratcliff and others (2025).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm14A3","usgsCitation":"Reid, M.E., Brien, D.L., Cronkite-Ratcliff, C., and Perkins, J.P., 2025, Grfin Tools—User guide and methods for modeling landslide runout and debris-flow growth and inundation: U.S. Geological Survey Techniques and Methods, book 14, chap. A3, 105 p., https://doi.org/10.3133/tm14A3.","productDescription":"Report: xi, 105 p.; Data Release","numberOfPages":"105","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-159767","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482304,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/14/a3/tm14a3.pdf","text":"Report","size":"35 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":482303,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/14/a3/covrthb.jpg"},{"id":482305,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9NVKFE2","text":"USGS Software Release","description":"Cronkite-Ratcliff, C., Reid, M.E., Brien, D.L., Perkins, J.P., 2025, Grfin Tools—Software package and runtime documentation for users: U.S. Geological Survey software release, https://doi.org/10.5066/P9NVKFE2.","linkHelpText":"- Grfin Tools—Software package and runtime documentation for users"},{"id":499059,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118455.htm","text":"Naranjito, Puerto Rico","linkFileType":{"id":5,"text":"html"}},{"id":499058,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118454.htm","text":"Coast Range, Oregon","linkFileType":{"id":5,"text":"html"}},{"id":499057,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118453.htm","text":"Utuado, Puerto Rico","linkFileType":{"id":5,"text":"html"}},{"id":499056,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118452.htm","text":"Transverse Ranges, California","linkFileType":{"id":5,"text":"html"}},{"id":499055,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118451.htm","text":"Lassen Peak, California","linkFileType":{"id":5,"text":"html"}},{"id":499054,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118450.htm","text":"Kosrae","linkFileType":{"id":5,"text":"html"}}],"contact":"<p><a href=\"https://avo.alaska.edu/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://avo.alaska.edu/\">Alaska Volcano Observatory</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>4230 University Drive<br>Anchorage, AK 99508</p>","tableOfContents":"<div id=\":1k3\" class=\"Am aiL Al editable LW-avf tS-tW tS-tY\" role=\"textbox\" contenteditable=\"true\" spellcheck=\"false\" aria-label=\"Message Body\" aria-multiline=\"true\" aria-owns=\":1mi\" aria-controls=\":1mi\" aria-expanded=\"false\" data-mce-tabindex=\"1\"><ul><li>Abstract</li><li>1. Introduction</li><li>2. Using Grfin Tools</li><li>3. Methods Underlying Different Tools</li><li>4. Program Input and Output Files</li><li>5. Handling Special Conditions</li><li>6. Examples of Applications</li></ul></div>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-02-21","noUsgsAuthors":false,"publicationDate":"2025-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":928047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brien, Dianne L. 0000-0003-3227-7963 dbrien@usgs.gov","orcid":"https://orcid.org/0000-0003-3227-7963","contributorId":229851,"corporation":false,"usgs":true,"family":"Brien","given":"Dianne","email":"dbrien@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":928048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":928049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":928050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267185,"text":"70267185 - 2025 - Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action","interactions":[],"lastModifiedDate":"2026-01-21T16:22:31.221126","indexId":"70267185","displayToPublicDate":"2025-02-21T10:55:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action","docAbstract":"<p><span>Identifying and building solutions to help people and ecosystems adapt to climate change requires participation of all people; however, Science, Technology, Engineering, and Mathematics (STEM) fields, including environmental sciences, continue to lack diversity. To address this issue, many institutions have increased programming to recruit and retain people from historically marginalized backgrounds in STEM fields. Institutions use surveys to evaluate the experiences of community members and identify areas for improvement; however, surveys often summarize and reflect majority perspectives and disregard voices of historically marginalized individuals. In June 2021, a survey of graduate students, postdocs, faculty, staff, and researchers affiliated with the Northeast Climate Adaptation Science Center (NE CASC) evaluated their experiences of diversity, equity, inclusion, and justice (DEIJ) using Likert-based and long-answer questions. We analyzed the results as a whole, but also focused on the responses of people who self-identified as members of a marginalized group (“marginalized respondents”) in climate adaptation science to center their voices. Marginalized respondents reported being motivated to enter climate adaptation science to improve society and the environment rather than for intellectual curiosity, which motivated one third of non-marginalized respondents. Once in science, marginalized respondents reported feeling less supported and comfortable at work and were more likely to have considered leaving science and academia in the last year. Long-answer responses of marginalized respondents indicated distrust in the ability of leadership and existing DEIJ initiatives to effectively tackle systemic issues and emphasized the importance of focusing on equity and inclusion before recruitment. Marginalized respondents identified additional funding to support existing DEIJ efforts and undergraduates as priorities. By allowing participants to self-identify as part of a marginalized group, we were able to highlight experiences and needs without risking exposure based on race, gender, disability status, or sexual orientation. This approach can be applied to other small organizations with limited demographic diversity.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0318438","usgsCitation":"Marjadi, M., Smith, R.A., Tu, H., Ajmani, A., Holland, A., Lopez, B., Morelli, T.L., and Bradley, B., 2025, Centering voices of scientists from marginalized backgrounds to understand experiences in climate adaptation science and inform action: PLoS ONE, v. 20, no. 2, e0318438, 25 p., https://doi.org/10.1371/journal.pone.0318438.","productDescription":"e0318438, 25 p.","ipdsId":"IP-169487","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489020,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0318438","text":"Publisher Index Page"},{"id":486084,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Marjadi, Meghna N.","contributorId":317779,"corporation":false,"usgs":false,"family":"Marjadi","given":"Meghna N.","affiliations":[{"id":69149,"text":"Massachusetts Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":937176,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Rebecca A.","contributorId":365351,"corporation":false,"usgs":false,"family":"Smith","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":937177,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tu, Hsin Fei","contributorId":355365,"corporation":false,"usgs":false,"family":"Tu","given":"Hsin Fei","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937178,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ajmani, Asha M.","contributorId":355366,"corporation":false,"usgs":false,"family":"Ajmani","given":"Asha M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937179,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holland, Addie Rose","contributorId":355367,"corporation":false,"usgs":false,"family":"Holland","given":"Addie Rose","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Bianca E.","contributorId":355368,"corporation":false,"usgs":false,"family":"Lopez","given":"Bianca E.","affiliations":[{"id":56643,"text":"American Association for the Advancement of Science","active":true,"usgs":false}],"preferred":false,"id":937181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":937183,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263799,"text":"70263799 - 2025 - Overcoming the data limitations in landslide susceptibility modelling","interactions":[],"lastModifiedDate":"2025-02-25T15:23:08.146759","indexId":"70263799","displayToPublicDate":"2025-02-21T09:19:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Overcoming the data limitations in landslide susceptibility modelling","docAbstract":"<p><span>Data-driven models widely used for assessing landslide susceptibility are severely limited by the landslide and environmental data needed to create them. They rely on inventories of past landslide locations, which are difficult to collect and often nonrepresentative. Furthermore, susceptibility maps are most needed in regions without the means to assemble an inventory. To overcome these challenges, we develop a method for assessing shallow landslide susceptibility based on a probabilistic morphometric analysis of the landscape’s topography, rather than the characteristics of landslides. The model assumes that hillslopes with higher relief and gradient compared to the surrounding landscape are more prone to landslides. We demonstrate the superior performance of this approach over contrasting data-driven models across the northwestern United States. As our morphometric model only requires elevation data, it overcomes the major limitations of data-driven models and facilitates the creation of effective susceptibility models in areas where it was previously unfeasible.</span></p>","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.adt1541","usgsCitation":"Woodard, J.B., and Mirus, B., 2025, Overcoming the data limitations in landslide susceptibility modelling: Science Advances, v. 11, no. 8, eadt1541, 13 p., https://doi.org/10.1126/sciadv.adt1541.","productDescription":"eadt1541, 13 p.","ipdsId":"IP-170424","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":489957,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adt1541","text":"Publisher Index Page"},{"id":482443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.432878344216,\n              48.94761592494433\n            ],\n            [\n              -124.54708923390476,\n              48.94761592494433\n            ],\n            [\n              -124.54708923390476,\n              41.82426100626475\n            ],\n            [\n              -117.432878344216,\n              41.82426100626475\n            ],\n            [\n              -117.432878344216,\n              48.94761592494433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"8","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodard, Jacob Bryson 0000-0002-3095-0774","orcid":"https://orcid.org/0000-0002-3095-0774","contributorId":305507,"corporation":false,"usgs":true,"family":"Woodard","given":"Jacob","email":"","middleInitial":"Bryson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":928330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":928331,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264671,"text":"70264671 - 2025 - A Cftr-independent, Ano1-rich seawater-adaptive ionocyte in sea lamprey gills","interactions":[],"lastModifiedDate":"2025-04-17T15:39:22.792637","indexId":"70264671","displayToPublicDate":"2025-02-20T10:00:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"A Cftr-independent, Ano1-rich seawater-adaptive ionocyte in sea lamprey gills","docAbstract":"<p><span>All ionoregulating marine fishes examined to date utilize seawater-type ionocytes expressing the apical Cl- channel, cystic fibrosis transmembrane conductance regulator (Cftr) to secrete Cl</span><sup>−</sup><span>. We performed transcriptomic, molecular, and functional studies to identify Cl</span><sup>−</sup><span>&nbsp;transporters in the seawater-type ionocytes of sea lamprey (</span><i>Petromyzon marinus</i><span>). Gill&nbsp;</span><i>cftr</i><span>&nbsp;expression was minimal or undetectable in larvae and post-metamorphic juveniles. We identified other Cl</span><sup>−</sup><span>&nbsp;transporters highly expressed in the gills and/or upregulated following metamorphosis and further investigated two candidates that stood out in our analysis, a Ca</span><sup>2+</sup><span>-activated Cl</span><sup>−</sup><span>&nbsp;channel,&nbsp;</span><i>anoctamin 1</i><span>&nbsp;(</span><i>ano1</i><span>), and the&nbsp;</span><i>Clc chloride channel family member 2</i><span>&nbsp;(</span><i>clcn2</i><span>). Of these,&nbsp;</span><i>ano1</i><span>&nbsp;was expressed 10-100 times more than&nbsp;</span><i>clcn2</i><span>&nbsp;in the gills; moreover,&nbsp;</span><i>ano1</i><span>&nbsp;was upregulated during seawater acclimation, while&nbsp;</span><i>clcn2</i><span>&nbsp;was not. Using an antibody raised against sea lamprey Ano1, we did not detect Ano1 in the gills of larvae, found elevated levels in juveniles and observed a 4-fold increase in juveniles after seawater acclimation. Ano1 was localized to seawater-type branchial ionocytes but, surprisingly, was localized to the basolateral membrane.&nbsp;</span><i>In vivo</i><span>&nbsp;pharmacological inhibition experiments demonstrated that a DIDS-sensitive mechanism was critical to the maintenance of osmoregulatory homeostasis in seawater- but not freshwater-acclimated sea lamprey. Taken together, our results provide evidence of a Cftr-independent mechanism for branchial Cl</span><sup>−</sup><span>&nbsp;secretion in sea lamprey that leverages Ano1-expressing ionocytes. Once further characterized, the Cftr-independent, Ano1-rich ionocytes of sea lamprey could reveal novel strategies for branchial Cl</span><sup>−</sup><span>&nbsp;secretion, whether by Ano1 or some other Cl</span><sup>−</sup><span>&nbsp;transporter, not previously known in ionoregulating marine organisms.</span></p>","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.250110","usgsCitation":"Shaughnessy, C.A., Hall, D., Norstog, J., Barany, A., Regish, A.M., Ferreira-Martins, D., Breves, J.P., Komoroske, L.M., and McCormick, S.D., 2025, A Cftr-independent, Ano1-rich seawater-adaptive ionocyte in sea lamprey gills: Journal of Experimental Biology, v. 228, no. 7, jeb250110, 10 p., https://doi.org/10.1242/jeb.250110.","productDescription":"jeb250110, 10 p.","ipdsId":"IP-154524","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.250110","text":"Publisher Index Page"},{"id":483523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"228","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaughnessy, Ciaran A. 0000-0003-2146-9126","orcid":"https://orcid.org/0000-0003-2146-9126","contributorId":229634,"corporation":false,"usgs":false,"family":"Shaughnessy","given":"Ciaran","email":"","middleInitial":"A.","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":931186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Daniel J","contributorId":292080,"corporation":false,"usgs":false,"family":"Hall","given":"Daniel J","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":931187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L.","contributorId":352422,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica L.","affiliations":[{"id":84213,"text":"Organismic and Evolutionary Biology, University of Massachusetts, Amherst, MA, USA","active":true,"usgs":false}],"preferred":false,"id":931188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barany, Andre","contributorId":228958,"corporation":false,"usgs":false,"family":"Barany","given":"Andre","email":"","affiliations":[{"id":41532,"text":"Univ of Cadiz","active":true,"usgs":false}],"preferred":false,"id":931189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":931190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferreira-Martins, Diogo","contributorId":228920,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"Diogo","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":931191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breves, Jason P.","contributorId":6349,"corporation":false,"usgs":false,"family":"Breves","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":931192,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Komoroske, Lisa M.","contributorId":287670,"corporation":false,"usgs":false,"family":"Komoroske","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":931193,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":931194,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70263777,"text":"70263777 - 2025 - Cancer risk and estimated lithium exposure in drinking groundwater in the US","interactions":[],"lastModifiedDate":"2025-02-24T15:22:49.778702","indexId":"70263777","displayToPublicDate":"2025-02-20T09:17:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20081,"text":"JAMA Network Open","active":true,"publicationSubtype":{"id":10}},"title":"Cancer risk and estimated lithium exposure in drinking groundwater in the US","docAbstract":"<p><strong>Importance</strong>&nbsp;<span>&nbsp;</span><span>Lithium is a naturally occurring element in drinking water and is commonly used as a mood-stabilizing medication. Although clinical studies have reported associations between receiving lithium treatment and reduced cancer risk among patients with bipolar disorder, to our knowledge, the association between environmental lithium exposure and cancer risk has never been studied in the general population.</span></p><p><strong>Objectives</strong>&nbsp;<span>&nbsp;</span><span>To evaluate the association between exposure to lithium in drinking groundwater and cancer risk in the general population.</span></p><p><strong>Design, Setting, and Participants</strong>&nbsp;<span>&nbsp;</span><span>This cohort study included participants with electronic health record and residential address information but without cancer history at baseline from the All of Us Research Program between May 31, 2017, and June 30, 2022. Participants were followed up until February 15, 2023. Statistical analysis was performed from September 2023 through October 2024.</span></p><p><strong>Exposure</strong>&nbsp;<span>&nbsp;</span><span>Lithium concentration in groundwater, based on kriging interpolation of publicly available US Geological Survey data on lithium concentration for 4700 wells across the contiguous US between May 12, 1999, and November 6, 2018.</span></p><p><strong>Main Outcome and Measures</strong>&nbsp;<span>&nbsp;</span><span>The main outcome was cancer diagnosis or condition, obtained from electronic health records. Stratified Cox proportional hazards regression models were used to estimate the hazard ratios (HRs) and 95% CIs for risk of cancer overall and individual cancer types for increasing quintiles of the estimated lithium exposure in drinking groundwater, adjusting for socioeconomic, behavioral, and neighborhood-level variables. The analysis was further conducted in the western and eastern halves of the US and restricted to long-term residents living at their current address for at least 3 years.</span></p><p><strong>Results</strong>&nbsp;<span>&nbsp;</span><span>A total of 252 178 participants were included (median age, 52 years [IQR, 36-64 years]; 60.1% female). The median follow-up time was 3.6 years (IQR, 3.0-4.3 years), and 7573 incident cancer cases were identified. Higher estimated lithium exposure was consistently associated with reduced cancer risk. Compared with the first (lowest) quintile of lithium exposure, the HR for all cancers was 0.49 (95% CI, 0.31-0.78) for the fourth quintile and 0.29 (95% CI, 0.15-0.55) for the fifth quintile. These associations were found for all cancer types investigated in both females and males, among long-term residents, and in both western and eastern states. For example, for the fifth vs first quintile of lithium exposure for all cancers, the HR was 0.17 (95% CI, 0.07-0.42) in females and 0.13 (95% CI, 0.04-0.38) in males; for long-term residents, the HR was 0.32 (95% CI, 0.15-0.66) in females and 0.24 (95% CI, 0.11-0.52) in males; and the HR was 0.01 (95% CI, 0.00-0.09) in western states and 0.34 (95% CI, 0.21-0.57) in eastern states.</span></p><p><strong>Conclusions and Relevance</strong>&nbsp;<span>&nbsp;</span><span>In this cohort study of 252 178 participants, estimated lithium exposure in drinking groundwater was associated with reduced cancer risk. Given the sparse evidence and unknown mechanisms of this association, follow-up investigation is warranted.</span></p>","language":"English","publisher":"American Medical Association","doi":"10.1001/jamanetworkopen.2024.60854","usgsCitation":"Luo, J., Zheng, L., Jin, Z., Yang, Y., Krakowka, W., Hong, E., Lombard, M.A., Ayotte, J.D., Ahsan, H., Pinto, J., and Aschebrook-Kilfoy, B., 2025, Cancer risk and estimated lithium exposure in drinking groundwater in the US: JAMA Network Open, v. 8, no. 2, e2460854, 15 p., https://doi.org/10.1001/jamanetworkopen.2024.60854.","productDescription":"e2460854, 15 p.","ipdsId":"IP-167705","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":487675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1001/jamanetworkopen.2024.60854","text":"Publisher Index 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]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Luo, Jiajun","contributorId":351223,"corporation":false,"usgs":false,"family":"Luo","given":"Jiajun","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Liange","contributorId":209333,"corporation":false,"usgs":false,"family":"Zheng","given":"Liange","email":"","affiliations":[],"preferred":false,"id":928229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jin, Zhihao","contributorId":351224,"corporation":false,"usgs":false,"family":"Jin","given":"Zhihao","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":928230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Yuqing","contributorId":351225,"corporation":false,"usgs":false,"family":"Yang","given":"Yuqing","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krakowka, William I.","contributorId":351226,"corporation":false,"usgs":false,"family":"Krakowka","given":"William I.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hong, Eric","contributorId":351284,"corporation":false,"usgs":false,"family":"Hong","given":"Eric","affiliations":[],"preferred":false,"id":928317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":928233,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":928234,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ahsan, Habibul","contributorId":351227,"corporation":false,"usgs":false,"family":"Ahsan","given":"Habibul","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928235,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pinto, Jayant M.","contributorId":351228,"corporation":false,"usgs":false,"family":"Pinto","given":"Jayant M.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928236,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aschebrook-Kilfoy, Briseis","contributorId":351229,"corporation":false,"usgs":false,"family":"Aschebrook-Kilfoy","given":"Briseis","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":928237,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70264271,"text":"70264271 - 2025 - Conservation translocation immediately reverses decline in imperiled sage-grouse populations","interactions":[],"lastModifiedDate":"2025-03-10T14:16:06.154979","indexId":"70264271","displayToPublicDate":"2025-02-20T09:09:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Conservation translocation immediately reverses decline in imperiled sage-grouse populations","docAbstract":"<p><span>Conservation translocation (hereafter translocation), the intentional movement of organisms from one location to another as a management tool, can be an extremely useful conservation action to increase the abundance of isolated populations following successful habitat restoration. However, managers seek to weigh the benefits against costs to the source population from which individuals are removed. Using two small and imperiled greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter sage-grouse) populations, we demonstrated the usefulness of translocation as a conservation management tool and the value of evaluating the potential consequences of translocation action. Using integrated population models and a before-after-control-impact (BACI) design, we quantified the extent to which translocation influenced the finite rate of change (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>&amp;#x3BB;</mi></math>\"><span class=\"MJX_Assistive_MathML\">λ</span></span></span><span>) of apparent abundance (</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi is=&quot;true&quot;>N</mi></math>\"><span class=\"MJX_Assistive_MathML\">N</span></span></span><span>) in both reinforced and source populations. We also assessed changes in underlying demographic rates in one population, allowing for identification of the specific mechanisms causing differences in population trends following translocation. In both reinforced populations,&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi mathvariant=&quot;normal&quot; is=&quot;true&quot;>&amp;#x3BB;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x302;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">λ̂</span></span></span><span>&nbsp;substantially increased following translocation. In the population for which we had sufficient demographic data, the increase in&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mover accent=&quot;true&quot; is=&quot;true&quot;><mi mathvariant=&quot;normal&quot; is=&quot;true&quot;>&amp;#x3BB;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>&amp;#x302;</mo></mover></math>\"><span class=\"MJX_Assistive_MathML\">λ̂</span></span></span><span>&nbsp;resulted from a 179&nbsp;% increase in egg hatchability following reinforcement. In one translocation, we did not observe adverse effects on the source populations. The source population for the second translocation exhibited reduced population growth rates after translocation, although BACI ratios indicated causes for population declines independent of translocation effects, highlighting the need to investigate processes together with observed patterns. Overall, we demonstrated the ability to rescue isolated sage-grouse populations via translocation, preserving population viability and metapopulation persistence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.110986","usgsCitation":"Meyerpeter, M., Coates, P., Milligan, M.C., Prochazka, B.G., Lazenby, K.D., Abele, S., Tull, J.C., Miller, K., Kolar, J.L., Mathews, S.R., Dehlgren, D., and Delehanty, D.J., 2025, Conservation translocation immediately reverses decline in imperiled sage-grouse populations: Biological Conservation, v. 304, 110986, 10 p., https://doi.org/10.1016/j.biocon.2025.110986.","productDescription":"110986, 10 p.","ipdsId":"IP-158354","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2025.110986","text":"Publisher Index Page"},{"id":483133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Montana, Nevada, North Dakota, South Dakota, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.00262602042469,\n              38.960489793630984\n            ],\n            [\n              -120.00262602042469,\n              37.42814016372904\n            ],\n            [\n              -118.09479169135818,\n              37.42814016372904\n            ],\n            [\n              -118.09479169135818,\n              38.960489793630984\n            ],\n            [\n              -120.00262602042469,\n              38.960489793630984\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.88544244488307,\n              46.66853834505463\n            ],\n            [\n              -111.06921118448022,\n              46.66853834505463\n            ],\n            [\n              -111.06921118448022,\n              40.88855914003949\n            ],\n            [\n              -102.88544244488307,\n              40.88855914003949\n            ],\n            [\n              -102.88544244488307,\n              46.66853834505463\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"304","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meyerpeter, Mary B.","contributorId":352179,"corporation":false,"usgs":false,"family":"Meyerpeter","given":"Mary B.","affiliations":[{"id":51998,"text":"Western EcoSystems Technology","active":true,"usgs":false}],"preferred":false,"id":930223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930224,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milligan, Megan C. 0000-0001-8466-7803","orcid":"https://orcid.org/0000-0001-8466-7803","contributorId":296042,"corporation":false,"usgs":true,"family":"Milligan","given":"Megan","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930225,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930226,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lazenby, Kade D.","contributorId":257564,"corporation":false,"usgs":false,"family":"Lazenby","given":"Kade","email":"","middleInitial":"D.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. Berryman Institute, S. J. Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":930227,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Abele, Steve","contributorId":299010,"corporation":false,"usgs":false,"family":"Abele","given":"Steve","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":true,"id":930228,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tull, John C. 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":201650,"corporation":false,"usgs":false,"family":"Tull","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":930229,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Katherine","contributorId":259248,"corporation":false,"usgs":false,"family":"Miller","given":"Katherine","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":true,"id":930230,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kolar, Jesse L.","contributorId":259247,"corporation":false,"usgs":false,"family":"Kolar","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":36989,"text":"North Dakota Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":930231,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930232,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dehlgren, David K.","contributorId":352185,"corporation":false,"usgs":false,"family":"Dehlgren","given":"David K.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":930233,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":930234,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70268964,"text":"70268964 - 2025 - Range-wide ecology, conservation, and research needs for yellow lampmussel (Lampsilis cariosa)","interactions":[],"lastModifiedDate":"2025-07-11T15:15:24.854385","indexId":"70268964","displayToPublicDate":"2025-02-20T08:09:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide ecology, conservation, and research needs for yellow lampmussel (Lampsilis cariosa)","docAbstract":"<p><span>The freshwater mussel yellow lampmussel (</span><i>Lampsilis cariosa</i><span>) is declining throughout its range along the Atlantic Slope of the eastern United States and Canada, and the species is a target for proactive conservation to avoid federal listing. This paper synthesizes information about the ecology (physiology and life history, host fishes, and habitat), species distribution, genetics, and threats to&nbsp;</span><i>L. cariosa</i><span>. Identified threats include climate change, habitat alteration, and invasive species, dependent on location. We outline 16 emergent research and conservation management needs based on literature review and discussion with stakeholders (state and federal mussel biologists, researchers, and tribal groups). These needs range from research on the basic physiology and behavior of the species, to creating standardized protocols for surveys and DNA sampling, to ultimately developing a range-wide species conservation and restoration plan. Addressing these information gaps and incorporating the findings into future management may facilitate the implementation and success of large-scale restoration and conservation initiatives such as habitat protection and reintroduction of&nbsp;</span><i>L. cariosa</i><span>&nbsp;to historical locations.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-024-05765-2","usgsCitation":"Farrington, S., Murphy, C.A., Perkins, D., and Roy, A.H., 2025, Range-wide ecology, conservation, and research needs for yellow lampmussel (Lampsilis cariosa): Hydrobiologia, v. 852, p. 2729-2754, https://doi.org/10.1007/s10750-024-05765-2.","productDescription":"26 p.","startPage":"2729","endPage":"2754","ipdsId":"IP-165902","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10750-024-05765-2","text":"Publisher Index Page"},{"id":492135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.2116373830845,\n              44.09913691401181\n            ],\n            [\n              -80.50374108682163,\n              41.85845354508396\n            ],\n            [\n              -80.99912161104155,\n              39.63960771569129\n            ],\n            [\n              -82.43337791555581,\n              37.77339486928925\n            ],\n            [\n              -85.76310658933828,\n              33.88933798331024\n            ],\n            [\n              -84.74697530374709,\n              30.712478092443988\n            ],\n            [\n              -79.6611750181294,\n              30.848363324108078\n            ],\n            [\n              -59.414970432845266,\n              46.31029094614682\n            ],\n            [\n              -64.10136367360452,\n              49.62997543691469\n            ],\n            [\n              -79.2116373830845,\n              44.09913691401181\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Farrington, Stefanie J.","contributorId":357879,"corporation":false,"usgs":false,"family":"Farrington","given":"Stefanie J.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":942736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, David","contributorId":340494,"corporation":false,"usgs":false,"family":"Perkins","given":"David","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":942738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":942739,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268954,"text":"70268954 - 2025 - The relative influence of climate extremes and species richness on the temporal variability of bird communities","interactions":[],"lastModifiedDate":"2025-07-11T15:12:24.557526","indexId":"70268954","displayToPublicDate":"2025-02-19T10:09:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The relative influence of climate extremes and species richness on the temporal variability of bird communities","docAbstract":"<p><span>Understanding the relationship between biodiversity and ecological stability is increasingly urgent as rapid species extinction continues. Though evidence of positive diversity–stability relationships is accumulating, empirical results are inconsistent, and effect sizes tend to be small, raising questions about relative contributions of intrinsic (i.e., species composition/interactions) and extrinsic (i.e., environmental) drivers of stability. Community stability may be more strongly influenced by environmental conditions than by community diversity in some contexts, yet little is known about the comparative importance of diversity and climate means, extremes, and variability in regulating stability. We used a half-century of continental-scale bird data to quantify avian community temporal variability (a metric often used to approximate ecological stability) at 1379 sites and compared relative effects of climatic variables and species richness. We found that extreme heat and extremely low precipitation at decadal scales are associated with high bird community variability and these climate variables outperformed species richness in terms of variance explained and magnitude of effect. This provides empirical support for the theoretical concept that, at a continental, decadal scale, environmental conditions can play a larger role than intrinsic factors in determining community stability. Our findings also increase understanding of how climate extremes cause diverse ecological responses.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.70005","usgsCitation":"Cady, S., Fuhlendorf, S., Davis, C., Luttbeg, B., Roberts, C.P., and Loss, S., 2025, The relative influence of climate extremes and species richness on the temporal variability of bird communities: Ecology, v. 106, no. 2, e70005, 8 p., https://doi.org/10.1002/ecy.70005.","productDescription":"e70005, 8 p.","ipdsId":"IP-146673","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.70005","text":"Publisher Index Page"},{"id":492134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Cady, Samantha M.","contributorId":357859,"corporation":false,"usgs":false,"family":"Cady","given":"Samantha M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":942711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuhlendorf, Samuel D.","contributorId":357861,"corporation":false,"usgs":false,"family":"Fuhlendorf","given":"Samuel D.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":942712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Craig A.","contributorId":357863,"corporation":false,"usgs":false,"family":"Davis","given":"Craig A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":942713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luttbeg, Barney","contributorId":357865,"corporation":false,"usgs":false,"family":"Luttbeg","given":"Barney","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":942714,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":942715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loss, Scott","contributorId":357867,"corporation":false,"usgs":false,"family":"Loss","given":"Scott","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":942716,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267891,"text":"70267891 - 2025 - Spatially explicit capture-recapture using fecal DNA to estimate elk population abundance and growth in western North Carolina, USA","interactions":[],"lastModifiedDate":"2025-06-06T15:09:09.499879","indexId":"70267891","displayToPublicDate":"2025-02-19T10:05:20","publicationYear":"2025","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":"Spatially explicit capture-recapture using fecal DNA to estimate elk population abundance and growth in western North Carolina, USA","docAbstract":"<p><span>In an effort to restore extirpated elk to their historical range, 52 elk were reintroduced to Great Smoky Mountains National Park (GRSM) in North Carolina, USA, during 2001 and 2002. Since their reintroduction, elk numbers have increased, and elk have extended their range beyond GRSM boundaries. We used spatially explicit capture-recapture (SCR) methods based on fecal DNA to identify individual elk and estimate population abundance (</span><i>N</i><span>), apparent survival (</span><i>φ</i><span>), per capita recruitment (</span><i>f</i><span>), and population growth rate (</span><i>λ</i><span>) in western North Carolina. We walked a series of transects during 3 winter field seasons (2020–2022) and collected elk pellets encountered along those transects. We created spatially explicit capture histories and incorporated those data into both closed and open population SCR models. The top performing closed SCR models for males and females estimated density by year and as a function of the scaled distance to the nearest field, with densities decreasing as the distance increased. Combined male and female&nbsp;</span><i>N</i><span>&nbsp;were 179 elk (95% CI = 149–215) in 2020, 220 elk (95% CI = 188–256) in 2021, and 240 elk (95% CI = 207–279) in 2022. The top open population model estimated both&nbsp;</span><i>φ</i><span>&nbsp;and&nbsp;</span><i>λ</i><span>&nbsp;as functions of sex and year. The estimate of&nbsp;</span><i>φ</i><span>&nbsp;for males was 0.682 (95% CI = 0.317–0.908) during 2020–2021 and 0.339 (95% CI = 0.152–0.596) during 2021–2022 and for females was 0.953 (95% CI = 0.830–1.000) during 2020–2021 and 0.829 (95% CI = 0.601–1.000) during 2021–2022. The annual population growth rate (</span><i>λ</i><span>) for males was 1.127 (95% CI = 0.806–1.575) during 2020–2021 and 0.811 (95% CI = 0.566–1.163) during 2021–2022 and for females was 1.559 (95% CI = 1.162–2.091) during 2020–2021 and 1.122 (95% CI = 0.876–1.437) during 2021–2022. Our elk abundance estimates in areas &gt;300 m from fields were negligible, and we suggest that sampling only the areas in and adjacent to fields in the future will result in reliable but more cost-efficient population estimates. Confidence intervals for vital rate parameters were wide for our 3-year dataset, but continued annual pellet sampling will increase sample sizes for vital rate estimation and thus improve precision. If elk herd expansion on public lands is desired, we suggest habitat modification to establish open grasslands adjacent to forests.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22733","usgsCitation":"Braunstein, J.L., Clark, J.D., Augustine, B., Hickman, C., McVey, J., and Yarkovich, J.G., 2025, Spatially explicit capture-recapture using fecal DNA to estimate elk population abundance and growth in western North Carolina, USA: Journal of Wildlife Management, v. 89, no. 4, e22733, 18 p., https://doi.org/10.1002/jwmg.22733.","productDescription":"e22733, 18 p.","ipdsId":"IP-166401","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22733","text":"Publisher Index Page"},{"id":490200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"89","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"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":939280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":939281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustine, Benjamin C.","contributorId":356383,"corporation":false,"usgs":false,"family":"Augustine","given":"Benjamin C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":939282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Caleb R.","contributorId":356386,"corporation":false,"usgs":false,"family":"Hickman","given":"Caleb R.","affiliations":[{"id":84985,"text":"Eastern Band of Cherokee Indians","active":true,"usgs":false}],"preferred":false,"id":939283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McVey, Justin","contributorId":356387,"corporation":false,"usgs":false,"family":"McVey","given":"Justin","affiliations":[{"id":84988,"text":"North Carolina Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":939284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":939285,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269931,"text":"70269931 - 2025 - Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States","interactions":[],"lastModifiedDate":"2025-08-07T15:03:38.484781","indexId":"70269931","displayToPublicDate":"2025-02-19T09:55:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Current distribution of the nine-banded armadillo (<i>Dasypus novemcinctus</i>) in the United States","title":"Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States","docAbstract":"<p><span>The nine-banded armadillo (</span><span class=\"html-italic\">Dasypus novemcinctus</span><span>: hereafter armadillo) was first recorded in the United States (U.S.) in the state of Texas in 1849 and has been expanding its range northward and eastward since then. With the widespread adoption of participatory science as well as the proliferation of nationwide wildlife game camera studies, occurrence data of armadillos can be compiled more rapidly and thoroughly than at any time in the past. Here, we use disparate data sources to update the current geographic distribution of the armadillo in the United States and use occurrence data from the leading edge of its range expansion to create a species distribution model to understand their relationship with landscape and bioclimatic factors. Since the last report on the geographic distribution of the armadillo in 2014, we show that armadillos have expanded to cover the entirety of Missouri and established in southern Iowa, expanded modestly within Kansas and Illinois, expanded northward and eastward in Indiana, expanded eastward in both Kentucky and Tennessee, established throughout the entirety of South Carolina and Georgia and established in the western third of North Carolina. Our species distribution model indicates that there is substantial opportunity for the species to continue to expand its geographic range, particularly in the Eastern United States. These results provide information to managers who are now or might soon be co-existing with the armadillo to proactively manage the species or inform the public regarding potential conflicts.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/d17020138","usgsCitation":"DeGregorio, B.A., and Deshwal, A., 2025, Current distribution of the nine-banded armadillo (Dasypus novemcinctus) in the United States: Diversity, v. 17, no. 2, 138, 14 p., https://doi.org/10.3390/d17020138.","productDescription":"138, 14 p.","ipdsId":"IP-174450","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d17020138","text":"Publisher Index Page"},{"id":493710,"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              -96.46443710699266,\n              43.482544866418095\n            ],\n            [\n              -98.46009009198762,\n              41.85543820530121\n            ],\n            [\n              -103.40240986276783,\n              39.849442113752225\n            ],\n            [\n              -106.57489778026832,\n              32.18560045351303\n            ],\n            [\n              -103.13881240687051,\n              29.004932608997777\n            ],\n            [\n              -102.01381568185428,\n              29.684127826701868\n            ],\n            [\n              -100.5588846777174,\n              28.719938827643247\n            ],\n            [\n              -98.90079539428103,\n              26.21067054924025\n            ],\n            [\n              -97.28797850165715,\n              25.80528820642506\n            ],\n            [\n              -95.08083877123178,\n              28.68104484993762\n            ],\n            [\n              -90.13838335666708,\n              29.279435161004997\n            ],\n            [\n              -83.97820912015521,\n              29.550506198188735\n            ],\n            [\n              -81.62615042652806,\n              25.175140663968392\n            ],\n            [\n              -79.20159572289897,\n              24.880530509938623\n            ],\n            [\n              -81.26833756114897,\n              30.9638453530741\n            ],\n            [\n              -75.67958860575126,\n              35.58409243159953\n            ],\n            [\n              -75.80680620450346,\n              38.817069169317364\n            ],\n            [\n              -81.47311820007566,\n              41.86626002921978\n            ],\n            [\n              -87.65021677565505,\n              42.44570766588616\n            ],\n            [\n              -90.16529470749337,\n              42.5611294229177\n            ],\n            [\n              -91.36833985870564,\n              43.39180921040943\n            ],\n            [\n              -96.46443710699266,\n              43.482544866418095\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":944986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deshwal, Anant","contributorId":350109,"corporation":false,"usgs":false,"family":"Deshwal","given":"Anant","affiliations":[{"id":17862,"text":"Bradley University","active":true,"usgs":false}],"preferred":false,"id":944987,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264308,"text":"70264308 - 2025 - Short-term ecological effects of solar energy development depend on plant community, soil type, and disturbance intensity","interactions":[],"lastModifiedDate":"2025-04-17T15:35:41.563426","indexId":"70264308","displayToPublicDate":"2025-02-19T09:23:39","publicationYear":"2025","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":"Short-term ecological effects of solar energy development depend on plant community, soil type, and disturbance intensity","docAbstract":"<ol class=\"\"><li>Solar energy is rapidly growing to decarbonize the electrical grid. Maintaining ecosystem function with solar energy generation can be promoted through construction methods that minimize negative impacts on soils and vegetation. However, the disturbance created by less-impactful construction methods at utility-scale solar energy (USSE) facilities and the ecosystem responses remain relatively unknown.</li><li>We monitored soils and vegetation before and after the USSE build-out to assess the short-term impacts of construction on soils and vegetation at the Gemini Solar Project in the Mojave Desert. The facility was constructed with methods intended to be less impactful than traditional techniques. Our goal was to answer three questions: (1) What are the short-term effects of construction on soils and vegetation? (2) Do construction effects vary by the initial plant community and soil type? and (3) Does disturbance intensity from construction affect soil and vegetation response?</li><li>We found strong evidence that the construction of the Gemini facility increased bare soil and soil compaction, and decreased dark biocrust cover and soil stability in the short term. For every 1% increase in disturbance intensity, we found a 0.23% increase in bare soil cover and a 0.10% decrease in dark biocrust cover. Plant responses varied more than soil responses and depended on the initial plant community and soil type, with decreases in plant canopy cover highest in sandy soils dominated by creosote bush (<i>Larrea tridentata</i>) and white bursage (<i>Ambrosia dumosa</i>) shrubs.</li><li><i>Synthesis and applications</i>: Many impacts of USSE facility construction depend on the underlying vegetation and soils and the level of disturbance intensity. The use of less-impactful construction methods, including a combination of overland travel and drive-and-crush examined in our study, can ameliorate negative effects relative to traditional construction practices and provide a pathway to maintain ecosystem function.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14882","usgsCitation":"Karban, C.C., Munson, S.M., Kobelt, L., and Lovich, J.E., 2025, Short-term ecological effects of solar energy development depend on plant community, soil type, and disturbance intensity: Journal of Applied Ecology, v. 62, no. 4, p. 945-957, https://doi.org/10.1111/1365-2664.14882.","productDescription":"14 p.","startPage":"945","endPage":"957","ipdsId":"IP-167668","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498249,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14882","text":"Publisher Index Page"},{"id":483196,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930379,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":930380,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kobelt, Lara A.","contributorId":350355,"corporation":false,"usgs":false,"family":"Kobelt","given":"Lara A.","affiliations":[{"id":83722,"text":"Bureau of Land Management, Southern Nevada District Office, 4701 North Torrey Pines Dr., Las Vegas, NV 89130","active":true,"usgs":false}],"preferred":false,"id":930381,"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":930382,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263890,"text":"70263890 - 2025 - Community estimate of global glacier mass changes from 2000 to 2023","interactions":[],"lastModifiedDate":"2025-04-17T15:33:54.867443","indexId":"70263890","displayToPublicDate":"2025-02-19T09:03:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Community estimate of global glacier mass changes from 2000 to 2023","docAbstract":"<p><span>Glaciers are indicators of ongoing anthropogenic climate change</span><sup><a id=\"ref-link-section-d17083767e2015\" title=\"Bojinski, S. et al. The concept of essential climate variables in support of climate research, applications, and policy. Bull. Am. Meteorol. Soc. 95, 1431–1443 (2014).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR1\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 1\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR1\">1</a></sup><span>. Their melting leads to increased local geohazards</span><sup><a id=\"ref-link-section-d17083767e2019\" title=\"Haeberli, W. &amp; Whiteman, C. in Snow and Ice-Related Hazards, Risks, and Disasters (eds Shroder, J. F. et al.) 1–34 (Elsevier, 2015); \n                https://doi.org/10.1016/B978-0-12-394849-6.00001-9\n                \n              .\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR2\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 2\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR2\">2</a></sup><span>, and impacts marine</span><sup><a id=\"ref-link-section-d17083767e2023\" title=\"Hopwood, M. J. et al. How does glacier discharge affect marine biogeochemistry and primary production in the Arctic? Cryosphere 14, 1347–1383 (2020).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR3\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 3\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR3\">3</a></sup><span>&nbsp;and terrestrial</span><sup><a id=\"ref-link-section-d17083767e2027\" title=\"Ficetola, G. F. et al. The development of terrestrial ecosystems emerging after glacier retreat. Nature 632, 336–342 (2024).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR4\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 4\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR4\">4</a>,<a id=\"ref-link-section-d17083767e2030\" title=\"Bosson, J. B. et al. Future emergence of new ecosystems caused by glacial retreat. Nature 620, 562–569 (2023).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR5\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 5\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR5\">5</a></sup><span>&nbsp;ecosystems, regional freshwater resources</span><sup><a id=\"ref-link-section-d17083767e2034\" title=\"Huss, M. &amp; Hock, R. Global-scale hydrological response to future glacier mass loss. Nat. Clim. Change 8, 135–140 (2018).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR6\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 6\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR6\">6</a></sup><span>, and both global water and energy cycles</span><sup><a id=\"ref-link-section-d17083767e2039\" title=\"Von Schuckmann, K. et al. Heat stored in the Earth system 1960–2020: where does the energy go? Earth Syst. Sci. Data 15, 1675–1709 (2023).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR7\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 7\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR7\">7</a>,<a id=\"ref-link-section-d17083767e2042\" title=\"Dorigo, W. et al. Closing the water cycle from observations across scales: where do we stand? Bull. Am. Meteorol. Soc. 102, E1897–E1935 (2021).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR8\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 8\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR8\">8</a></sup><span>. Together with the Greenland and Antarctic ice sheets, glaciers are essential drivers of present</span><sup><a id=\"ref-link-section-d17083767e2046\" title=\"Slater, T. et al. Earth’s ice imbalance.&nbsp;Cryosphere 15, 233–246 (2021).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR9\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 9\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR9\">9</a>,<a id=\"ref-link-section-d17083767e2049\" title=\"Bamber, J. L., Westaway, R. M., Marzeion, B. &amp; Wouters, B. The land ice contribution to sea level during the satellite era. Environ. Res. Lett. 13, 063008 (2018).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR10\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 10\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR10\">10</a></sup><span>&nbsp;and future</span><sup><a id=\"ref-link-section-d17083767e2053\" title=\"Rounce, D. R. et al. Global glacier change in the 21st century: every increase in temperature matters. Science 379, 78–83 (2023).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR11\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR11\">11</a>,<a id=\"ref-link-section-d17083767e2053_1\" title=\"Marzeion, B. et al. Partitioning the uncertainty of ensemble projections of global glacier mass change. Earths Future 8, e2019EF001470 (2020).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\">12</a>,<a id=\"ref-link-section-d17083767e2056\" title=\"Hock, R. et al. GlacierMIP—a model intercomparison of global-scale glacier mass-balance models and projections. J. Glaciol. 65, 453–467 (2019).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR13\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 13\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR13\">13</a></sup><span>&nbsp;sea-level rise. Previous assessments of global glacier mass changes have been hampered by spatial and temporal limitations and the heterogeneity of existing data series</span><sup><a id=\"ref-link-section-d17083767e2060\" title=\"Vaughan, D. G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 317–382 (IPCC, Cambridge Univ. Press, 2013).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR14\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR14\">14</a>,<a id=\"ref-link-section-d17083767e2060_1\" title=\"IPCC The Ocean and Cryosphere in a Changing Climate: Special Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press, 2019).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR15\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR15\">15</a>,<a id=\"ref-link-section-d17083767e2063\" title=\"IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 16\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\">16</a></sup><span>. Here we show in an intercomparison exercise that glaciers worldwide lost 273 ± 16 gigatonnes in mass annually from 2000 to 2023, with an increase of 36 ± 10% from the first (2000–2011) to the second (2012–2023) half of the period. Since 2000, glaciers have lost between 2% and 39% of their ice regionally and about 5% globally. Glacier mass loss is about 18% larger than the loss from the Greenland Ice Sheet and more than twice that from the Antarctic Ice Sheet</span><sup><a id=\"ref-link-section-d17083767e2067\" title=\"Otosaka, I. N. et al. Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020. Earth Syst. Sci. Data 15, 1597–1616 (2023).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR17\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 17\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR17\">17</a></sup><span>. Our results arise from a scientific community effort to collect, homogenize, combine and analyse glacier mass changes from in situ and remote-sensing observations. Although our estimates are in agreement with findings from previous assessments</span><sup><a id=\"ref-link-section-d17083767e2071\" title=\"Vaughan, D. G. et al. in Climate Change 2013: The Physical Science Basis (eds Stocker, T. F. et al.) 317–382 (IPCC, Cambridge Univ. Press, 2013).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR14\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR14\">14</a>,<a id=\"ref-link-section-d17083767e2071_1\" title=\"IPCC The Ocean and Cryosphere in a Changing Climate: Special Report of the Intergovernmental Panel on Climate Change (Cambridge Univ. Press, 2019).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR15\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR15\">15</a>,<a id=\"ref-link-section-d17083767e2074\" title=\"IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 16\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\">16</a></sup><span>&nbsp;at a global scale, we found some large regional deviations owing to systematic differences among observation methods. Our results provide a refined baseline for better understanding observational differences and for calibrating model ensembles</span><sup><a id=\"ref-link-section-d17083767e2079\" title=\"Marzeion, B. et al. Partitioning the uncertainty of ensemble projections of global glacier mass change. Earths Future 8, e2019EF001470 (2020).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\">12</a>,<a id=\"ref-link-section-d17083767e2082\" title=\"IPCC Climate Change 2021: The Physical Science Basis (eds Masson-Delmotte, V. et al.) (Cambridge Univ. Press, 2021).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 16\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR16\">16</a>,<a id=\"ref-link-section-d17083767e2085\" title=\"Zekollari, H. et al. Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations. Cryosphere 18, 5045–5066 (2024).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR18\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 18\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR18\">18</a></sup><span>, which will help to narrow projection uncertainty for the twenty-first century</span><sup><a id=\"ref-link-section-d17083767e2089\" title=\"Rounce, D. R. et al. Global glacier change in the 21st century: every increase in temperature matters. Science 379, 78–83 (2023).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR11\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 11\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR11\">11</a>,<a id=\"ref-link-section-d17083767e2092\" title=\"Marzeion, B. et al. Partitioning the uncertainty of ensemble projections of global glacier mass change. Earths Future 8, e2019EF001470 (2020).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 12\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR12\">12</a>,<a id=\"ref-link-section-d17083767e2095\" title=\"Zekollari, H. et al. Twenty-first century global glacier evolution under CMIP6 scenarios and the role of glacier-specific observations. Cryosphere 18, 5045–5066 (2024).\" href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR18\" data-track=\"click\" data-track-action=\"reference anchor\" data-track-label=\"link\" data-test=\"citation-ref\" aria-label=\"Reference 18\" data-mce-href=\"https://www.nature.com/articles/s41586-024-08545-z#ref-CR18\">18</a></sup><span>.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41586-024-08545-z","usgsCitation":"GlaMBIE Team, Zemp, M., Jakob, L., Dussaillant, I., Nussbaumer, S., Gourmelen, N., Dubber, S., Geruo, A., Abdullahi, S., Andreassen, L.M., Berthier, E., Bhattacharya, A., Blazquez, A., Boehm Vock, L., Bolch, T., Box, J., Braun, M.H., Brun, F., Cicero, E., Colgan, W., Eckert, N., Farinotti, D., Florentine, C., Floricioiu, D., Gardner, A., Harig, C., Hassan, J., Hugonnet, R., Huss, M., Jóhannesson, T., Liang, C., Ke, C., Abbas, S., King, O., Kneib, M., Krieger, L., Maussion, F., Mattea, E., McNabb, R., Menounos, B., Miles, E., Moholdt, G., Nilsson, J., Palsson, F., Pfeffer, J., Piermattei, L., Plummer, S., Richter, A., Sasgen, I., Schuster, L., Seehaus, T., Shen, X., Sommer, C., Sutterley, T., Treichler, D., Velicogna, I., Wouters, B., Zekollari, H., and Zheng, W., 2025, Community estimate of global glacier mass changes from 2000 to 2023: Nature, v. 639, p. 382-388, https://doi.org/10.1038/s41586-024-08545-z.","productDescription":"7 p.","startPage":"382","endPage":"388","ipdsId":"IP-168262","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":487239,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-024-08545-z","text":"Publisher Index Page"},{"id":482568,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"639","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"GlaMBIE 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U.","affiliations":[],"preferred":false,"id":928962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gourmelen, Noel","contributorId":220460,"corporation":false,"usgs":false,"family":"Gourmelen","given":"Noel","email":"","affiliations":[],"preferred":false,"id":928963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dubber, Sophie","contributorId":351579,"corporation":false,"usgs":false,"family":"Dubber","given":"Sophie","affiliations":[],"preferred":false,"id":928964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Geruo, A.","contributorId":351580,"corporation":false,"usgs":false,"family":"Geruo","given":"A.","affiliations":[],"preferred":false,"id":928965,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Abdullahi, Sahra","contributorId":351581,"corporation":false,"usgs":false,"family":"Abdullahi","given":"Sahra","affiliations":[],"preferred":false,"id":928966,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andreassen, Liss M.","contributorId":342075,"corporation":false,"usgs":false,"family":"Andreassen","given":"Liss","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":928967,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Berthier, Etienne","contributorId":342077,"corporation":false,"usgs":false,"family":"Berthier","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":928968,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Bhattacharya, Atanu","contributorId":342078,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Atanu","email":"","affiliations":[],"preferred":false,"id":928969,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Blazquez, 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Nicolas","contributorId":330971,"corporation":false,"usgs":false,"family":"Eckert","given":"Nicolas","email":"","affiliations":[{"id":27334,"text":"Universite Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":928978,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Farinotti, D.","contributorId":260226,"corporation":false,"usgs":false,"family":"Farinotti","given":"D.","email":"","affiliations":[],"preferred":false,"id":928979,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":928923,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Floricioiu, Dana","contributorId":342084,"corporation":false,"usgs":false,"family":"Floricioiu","given":"Dana","email":"","affiliations":[],"preferred":false,"id":928980,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Gardner, Alex","contributorId":24274,"corporation":false,"usgs":true,"family":"Gardner","given":"Alex","email":"","affiliations":[],"preferred":false,"id":928981,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Harig, Christopher","contributorId":351585,"corporation":false,"usgs":false,"family":"Harig","given":"Christopher","affiliations":[],"preferred":false,"id":928982,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Hassan, Javed","contributorId":351586,"corporation":false,"usgs":false,"family":"Hassan","given":"Javed","affiliations":[],"preferred":false,"id":928983,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Hugonnet, 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,{"id":70270195,"text":"70270195 - 2025 - Confronting debris-flow hazards after wildfire","interactions":[],"lastModifiedDate":"2025-08-13T13:45:10.643265","indexId":"70270195","displayToPublicDate":"2025-02-19T08:41:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Confronting debris-flow hazards after wildfire","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EO250069","usgsCitation":"Youberg, A., McGuire, L., Oakley, N.S., Rengers, F.K., and Shafer, A., 2025, Confronting debris-flow hazards after wildfire: Eos, American Geophysical Union, v. 106, HTML Document, https://doi.org/10.1029/2025EO250069.","productDescription":"HTML Document","ipdsId":"IP-169615","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":494197,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025eo250069","text":"Publisher Index Page"},{"id":494017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Youberg, Ann 0000-0002-2005-3674","orcid":"https://orcid.org/0000-0002-2005-3674","contributorId":105919,"corporation":false,"usgs":false,"family":"Youberg","given":"Ann","affiliations":[],"preferred":false,"id":945706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Luke","contributorId":197027,"corporation":false,"usgs":false,"family":"McGuire","given":"Luke","affiliations":[],"preferred":false,"id":945709,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oakley, N. S. 0000-0001-5680-9296","orcid":"https://orcid.org/0000-0001-5680-9296","contributorId":236978,"corporation":false,"usgs":false,"family":"Oakley","given":"N.","email":"","middleInitial":"S.","affiliations":[{"id":47583,"text":"Desert Research Institute and Center for Western Weather and Water Extremes","active":true,"usgs":false}],"preferred":false,"id":945707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafer, Autym 0000-0001-7747-5694","orcid":"https://orcid.org/0000-0001-7747-5694","contributorId":359504,"corporation":false,"usgs":false,"family":"Shafer","given":"Autym","affiliations":[{"id":85835,"text":"autymshafer@berkeley.edu","active":true,"usgs":false}],"preferred":false,"id":945710,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263884,"text":"70263884 - 2025 - Implications of physics-based M9 ground motions on liquefaction-induced damage in the Cascadia Subduction Zone: Looking forward and backward","interactions":[],"lastModifiedDate":"2025-02-27T15:45:13.850251","indexId":"70263884","displayToPublicDate":"2025-02-19T08:37:04","publicationYear":"2025","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":"Implications of physics-based M9 ground motions on liquefaction-induced damage in the Cascadia Subduction Zone: Looking forward and backward","docAbstract":"Given the likelihood of future M9 Cascadia Subduction Zone (CSZ) earthquakes, various estimates of the resulting, regional ground motions have been made, including a suite of 30 physics-based simulations that reflect key modeling uncertainties. However, because the last CSZ interface rupture occurred in 1700 CE, the shaking expected in such an event is especially uncertain, as are the impacts to the built and living environments. Like other coseismic impacts, soil liquefaction poses a significant threat and must be considered by any scenario study used to inform planning and response, or to focus mitigation resources. Liquefaction is also notable for its potential to “ground truth” ground-motion estimates, given that its presence or absence in the geologic record can provide constraint on the intensities of shaking in past events. It is thus an important phenomenon looking both forward and backward. Accordingly, using recent physics-based simulations, this study (1) predicts liquefaction in M9 CSZ ruptures at 400 locations in Oregon, Washington, and British Columbia (BC) using an array of cone-penetration-test based models and (2) uses paleoliquefaction evidence at ten sites spanning from Southern Oregon to Vancouver, BC to constrain possible ground-motion intensities experienced in the 1700 CE earthquake. The forward predictions indicate that liquefaction in M9 events could be pervasive in the region and affect numerous population hubs, with the potential for damage across hundreds of square kilometers. The backward analyses suggest that 1700 CE ground-motion intensities may have been less than expected from M9 simulations in some northern portions of the CSZ (e.g. Seattle), given the paucity of 1700 CE liquefaction evidence in these areas. Ultimately, further discovery and analysis of CSZ paleoliquefaction, or lack thereof, will confirm or modify this possibility and the conclusions drawn herein.","language":"English","publisher":"Sage","doi":"10.1177/87552930251316819","usgsCitation":"Rasanen, R., Grant, A.R., Makdisi, A.J., Maurer, B.W., and Wirth, E.A., 2025, Implications of physics-based M9 ground motions on liquefaction-induced damage in the Cascadia Subduction Zone: Looking forward and backward: Earthquake Spectra, 30 p., https://doi.org/10.1177/87552930251316819.","productDescription":"30 p.","ipdsId":"IP-157098","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.26164781722542,\n              48.65345896049223\n            ],\n            [\n              -125.26164781722542,\n              44.28740331066001\n            ],\n            [\n              -122.25792048153377,\n              44.28740331066001\n            ],\n            [\n              -122.25792048153377,\n              48.65345896049223\n            ],\n            [\n              -125.26164781722542,\n              48.65345896049223\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rasanen, Ryan A.","contributorId":337148,"corporation":false,"usgs":false,"family":"Rasanen","given":"Ryan A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":928882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Makdisi, Andrew James 0000-0002-8239-0692","orcid":"https://orcid.org/0000-0002-8239-0692","contributorId":267917,"corporation":false,"usgs":true,"family":"Makdisi","given":"Andrew","email":"","middleInitial":"James","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":928884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maurer, Brett W.","contributorId":139387,"corporation":false,"usgs":false,"family":"Maurer","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":928885,"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":928886,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263743,"text":"70263743 - 2025 - Investigating the influence of Diadematidae scuticociliatosis on host microbiome composition","interactions":[],"lastModifiedDate":"2025-04-17T15:30:27.412867","indexId":"70263743","displayToPublicDate":"2025-02-19T08:19:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17805,"text":"mSystems","active":true,"publicationSubtype":{"id":10}},"title":"Investigating the influence of Diadematidae scuticociliatosis on host microbiome composition","docAbstract":"<p><span>Mass mortality of Diadematidae urchins, caused by the&nbsp;</span><i>Diadema antillarum</i><span>&nbsp;scuticociliatosis Philaster clade (DScPc)</span><i>,</i><span>&nbsp;affected the Caribbean in spring 2022 and subsequently spread to the eastern Mediterranean, Red Sea, and western Indian Ocean. A key question around Diadematidae scuticociliatosis (DSc), the disease caused by the scuticociliate, is whether the urchin microbiome varies between scuticociliatosis-affected and grossly normal urchins. Tissue samples from both grossly normal and abnormal&nbsp;</span><i>Diadema antillarum</i><span>&nbsp;were collected in the field during the initial assessment of the DSc causative agent and from an experimental challenge of DScPc culture on aquacultured&nbsp;</span><i>D. antillarum</i><span>. Specimens were analyzed using 16S rRNA gene amplicon sequencing. Additional abnormal urchin samples were collected from the most recent outbreak site in the western Indian Ocean (Réunion Island). At reference (i.e., unaffected by DSc) sites,&nbsp;</span><i>Kistimonas</i><span>&nbsp;spp.</span><i>, Propionigenium</i><span>&nbsp;spp., and&nbsp;</span><i>Endozoicomonas</i><span>&nbsp;spp. were highly represented in amplicon libraries. DSc-affected urchin amplicon libraries had lower taxonomic richness and a greater representation of taxa related to&nbsp;</span><i>Fangia hongkongensis</i><span>&nbsp;and&nbsp;</span><i>Psychrobium</i><span>&nbsp;spp. Amplicon libraries of urchins experimentally challenged with the DSc pathogen had some shifts in microbial composition, but&nbsp;</span><i>F. hongkongensis</i><span>&nbsp;was not a part of the core bacteria in DSc-challenged specimens. DSc-affected&nbsp;</span><i>Echinothrix diadema</i><span>&nbsp;from Réunion Island showed a similar high representation of&nbsp;</span><i>F. hongkongensis</i><span>&nbsp;as that seen on Caribbean&nbsp;</span><i>D. antillarum</i><span>. Our results suggest that DSc alters&nbsp;</span><i>Diadematidae</i><span>&nbsp;microbiomes and that&nbsp;</span><i>F. hongkongensis</i><span>&nbsp;may be a candidate bacterial biomarker for DSc in environmental samples. The mechanism driving microbiome variation in host–pathogen interactions remains to be explored.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/msystems.01418-24","usgsCitation":"Vilanova-Cuevas, B., DeRito, C.M., Ritchie, I.T., Kellogg, C.A., Evans, J.S., Zimmermann, A., Williams, S.M., Brandt, M.E., Sevier, M.L., Gittens, S., Budd, K.A., Warham, M., Sharp, W.C., Delgado, G.A., Hylkema, A., Kitson-Walters, K.A., Quod, J., Breitbart, M., and Hewson, I., 2025, Investigating the influence of Diadematidae scuticociliatosis on host microbiome composition: mSystems, v. 10, e01418-24, 14 p., https://doi.org/10.1128/msystems.01418-24.","productDescription":"e01418-24, 14 p.","ipdsId":"IP-170656","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489953,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/msystems.01418-24","text":"Publisher Index Page"},{"id":482330,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Vilanova-Cuevas, Brayan","contributorId":304387,"corporation":false,"usgs":false,"family":"Vilanova-Cuevas","given":"Brayan","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeRito, Christopher M.","contributorId":260783,"corporation":false,"usgs":false,"family":"DeRito","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":928063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Isabella T.","contributorId":304353,"corporation":false,"usgs":false,"family":"Ritchie","given":"Isabella","email":"","middleInitial":"T.","affiliations":[{"id":39241,"text":"College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":928064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":928080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, James S. 0000-0002-9977-1627 jsevans@usgs.gov","orcid":"https://orcid.org/0000-0002-9977-1627","contributorId":279528,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jsevans@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":928068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmermann, Alizee","contributorId":304395,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Alizee","email":"","affiliations":[{"id":66053,"text":"Turks & Caicos Reef Fund","active":true,"usgs":false}],"preferred":false,"id":928065,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, Stacey M.","contributorId":304392,"corporation":false,"usgs":false,"family":"Williams","given":"Stacey","email":"","middleInitial":"M.","affiliations":[{"id":66051,"text":"Institute for Socio-Ecological Research, Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":928067,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brandt, Marilyn E.","contributorId":171794,"corporation":false,"usgs":false,"family":"Brandt","given":"Marilyn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":928069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sevier, Moriah L. 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,{"id":70264161,"text":"70264161 - 2025 - Not just corticosterone: Further characterization of the endocrine response of Kemp’s ridley sea turtles (Lepidochelys kempii) reveals elevated plasma aldosterone concentrations during field capture events","interactions":[],"lastModifiedDate":"2025-03-07T15:13:34.120709","indexId":"70264161","displayToPublicDate":"2025-02-19T08:06:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Not just corticosterone: Further characterization of the endocrine response of Kemp’s ridley sea turtles (Lepidochelys kempii) reveals elevated plasma aldosterone concentrations during field capture events","docAbstract":"<p><span>To develop safe and effective management policies, it is important to understand the physiologic effects of fishing interactions and scientific research methods on endangered marine species. In the present study, validated assays for plasma corticosterone, free thyroxine (fT4), and aldosterone were used to assess the endocrine status of 61 presumed healthy, wild Kemp's ridley sea turtles (</span><i>Lepidochelys kempii</i><span>) that were captured for separate ecological studies using two capture methods (trawl net n = 40; manual capture n = 21). Plasma hormone concentrations were also assessed in relation to eight clinical plasma biochemical analytes. Corticosterone and aldosterone concentrations were moderately high after capture, with significantly higher concentrations in turtles captured by trawl net vs. manual capture. Free thyroxine concentrations were within previously published ranges for healthy individuals of this species. Clinical biochemical data revealed moderately elevated potassium and lactate concentrations in many individuals, with significantly greater lactate concentrations in trawl-captured turtles. Aldosterone concentrations were positively correlated with corticosterone. The results of the present study indicate that Kemp's ridley sea turtles have robust adrenocortical activity immediately after capture, resulting in high plasma concentrations of corticosterone and aldosterone. Researchers who use such methods to access sea turtles can consider these results in planning careful and efficient field studies.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ani15040600","usgsCitation":"Innis, C.J., Graham, K., Mott, C.R., Hart, K., Roche, D., Cherkiss, M., and Burgess, E., 2025, Not just corticosterone: Further characterization of the endocrine response of Kemp’s ridley sea turtles (Lepidochelys kempii) reveals elevated plasma aldosterone concentrations during field capture events: Animals, v. 15, no. 4, 600, 12 p., https://doi.org/10.3390/ani15040600.","productDescription":"600, 12 p.","ipdsId":"IP-172044","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":487745,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani15040600","text":"Publisher Index Page"},{"id":483050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana, Mississippi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.70557649872961,\n              30.010739238547117\n            ],\n            [\n              -92.00116115306747,\n              28.339002561929632\n            ],\n            [\n              -82.86230511121795,\n              28.277917524081474\n            ],\n            [\n              -82.85674465474287,\n              29.15185303305006\n            ],\n            [\n              -84.02866560881175,\n              30.139029913622593\n            ],\n            [\n              -85.6277919394617,\n              29.59516287623463\n            ],\n            [\n              -86.1440236623925,\n              30.300606706908166\n            ],\n            [\n              -88.25369972273643,\n              30.00606334692438\n            ],\n            [\n              -88.6098267088585,\n              30.51137384092631\n            ],\n            [\n              -93.70557649872961,\n              30.010739238547117\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Innis, Charles J.","contributorId":117805,"corporation":false,"usgs":false,"family":"Innis","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":929969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Katherine M.","contributorId":352061,"corporation":false,"usgs":false,"family":"Graham","given":"Katherine M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mott, Cody R.","contributorId":331398,"corporation":false,"usgs":false,"family":"Mott","given":"Cody","email":"","middleInitial":"R.","affiliations":[{"id":79198,"text":"Inwater Research Group, Jensen Beach, FL","active":true,"usgs":false}],"preferred":false,"id":929971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":929972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roche, David 0000-0002-3329-2746 droche@usgs.gov","orcid":"https://orcid.org/0000-0002-3329-2746","contributorId":204332,"corporation":false,"usgs":true,"family":"Roche","given":"David","email":"droche@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":true,"id":929973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":929974,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burgess, Elizabeth A.","contributorId":352063,"corporation":false,"usgs":false,"family":"Burgess","given":"Elizabeth A.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929975,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273877,"text":"70273877 - 2025 - What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores","interactions":[],"lastModifiedDate":"2026-02-11T14:55:48.532321","indexId":"70273877","displayToPublicDate":"2025-02-19T07:50:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Herbivores are commonly classified as host specialists or generalists for various purposes, yet the definitions of these terms, and their intermediates, are often imprecise and ambiguous. We quantified host breadth for 240 non-native, tree-feeding insects in North America using phylogenetic diversity. We demonstrated that a partitioning of host breadth: (1) causes 67% of non-native insects to shift from a generalist to specialist category, (2) displays a reduction in host breadth from the native to introduced range, (3) identifies an inflection point in a model predicting the likelihood of non-native insect ecological impact, with a corresponding change in behaviour associated with specialists versus generalists, and (4) enables three models for strong prediction of whether a non-native forest insect will cause high impacts. Together, these results highlight the primacy of how herbivore host recognition and plant defences mediate whether novel host interactions will result in high impact after invasion.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70083","usgsCitation":"Schulz, A.N., Havill, N.P., Marsico, T.D., Ayres, M.P., Gandhi, K.J., Herms, D.A., Hoover, A., Hufbauer, R.A., Liebhold, A.M., Raffa, K.F., Thomas, K.A., Tobin, P.C., Uden, D.R., and Mech, A.M., 2025, What is a specialist? Quantifying host breadth enables impact prediction for invasive herbivores: Ecology Letters, v. 28, no. 2, e70083, 12 p., https://doi.org/10.1111/ele.70083.","productDescription":"e70083, 12 p.","ipdsId":"IP-158243","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":499745,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -182.681888554713,\n              53.85389979192047\n            ],\n            [\n              -118.28676622689468,\n              32.88061586567801\n            ],\n            [\n              -98.02837651680895,\n              26.779616505270788\n            ],\n            [\n              -78.36191912659696,\n              24.831321950270947\n            ],\n            [\n              -51.957456444544675,\n              47.112649634321606\n            ],\n            [\n              -64.21831161600105,\n              60.73216659039127\n            ],\n            [\n              -118.7391214000643,\n              70.7115126428508\n            ],\n            [\n              -163.08695093879513,\n              72.42372463033631\n            ],\n            [\n              -182.681888554713,\n              53.85389979192047\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"28","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, Ashley N.","contributorId":366147,"corporation":false,"usgs":false,"family":"Schulz","given":"Ashley","middleInitial":"N.","affiliations":[{"id":87367,"text":"Mississippi State University, Department of Forestry, Box 9681, Mississippi State, MS 39762, USA","active":true,"usgs":false}],"preferred":false,"id":955359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Havill, Nathan P.","contributorId":366148,"corporation":false,"usgs":false,"family":"Havill","given":"Nathan","middleInitial":"P.","affiliations":[{"id":87368,"text":"USDA Forest Service Northern Research Station, 51 Mill Pond Rd., Hamden, CT 06514, USA","active":true,"usgs":false}],"preferred":false,"id":955360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsico, Travis D.","contributorId":366149,"corporation":false,"usgs":false,"family":"Marsico","given":"Travis","middleInitial":"D.","affiliations":[{"id":87369,"text":"Arkansas State University, Department of Biological Sciences, PO Box 599, State University, AR 72467, USA","active":true,"usgs":false}],"preferred":false,"id":955361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayres, Matthew P.","contributorId":366150,"corporation":false,"usgs":false,"family":"Ayres","given":"Matthew","middleInitial":"P.","affiliations":[{"id":87370,"text":"Dartmouth College, Department of Biological Sciences, 78 College Street, Hanover, NH 03755, USA","active":true,"usgs":false}],"preferred":false,"id":955362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gandhi, Kamal J.K.","contributorId":366151,"corporation":false,"usgs":false,"family":"Gandhi","given":"Kamal","middleInitial":"J.K.","affiliations":[{"id":87371,"text":"The University of Georgia, Daniel B. Warnell School of Forestry and Natural Resources, 180 E. Green St., Athens, GA 30602, USA","active":true,"usgs":false}],"preferred":false,"id":955363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herms, Daniel A.","contributorId":366152,"corporation":false,"usgs":false,"family":"Herms","given":"Daniel","middleInitial":"A.","affiliations":[{"id":87372,"text":"The Davey Tree Expert Company, 1500 N Mantua St., Kent, OH 44240, USA","active":true,"usgs":false}],"preferred":false,"id":955364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoover, Angela M. 0000-0003-0401-5587","orcid":"https://orcid.org/0000-0003-0401-5587","contributorId":337614,"corporation":false,"usgs":false,"family":"Hoover","given":"Angela M.","affiliations":[{"id":81032,"text":"formerly: USGS Southwest Biological Science Center, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":955365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hufbauer, Ruth A.","contributorId":366153,"corporation":false,"usgs":false,"family":"Hufbauer","given":"Ruth","middleInitial":"A.","affiliations":[{"id":87373,"text":"Department of Agricultural Biology, Graduate Degree Program in Ecology, Colorado State University; Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":955366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liebhold, Andrew M.","contributorId":366154,"corporation":false,"usgs":false,"family":"Liebhold","given":"Andrew","middleInitial":"M.","affiliations":[{"id":87374,"text":"USDA Forest Service Northern Research Station, Morgantown; WV 26505, USA; Faculty of Forestry and Wood Sciences, Czech University of Life Sciences; Prague, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":955367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Raffa, Kenneth F.","contributorId":366155,"corporation":false,"usgs":false,"family":"Raffa","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":87375,"text":"Department of Entomology, University of Wisconsin; Madison, WI 53706, USA","active":true,"usgs":false}],"preferred":false,"id":955368,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":955369,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tobin, Patrick C.","contributorId":366156,"corporation":false,"usgs":false,"family":"Tobin","given":"Patrick","middleInitial":"C.","affiliations":[{"id":87376,"text":"School of Environmental and Forest Sciences, University of Washington; Seattle, WA 98195, USA","active":true,"usgs":false}],"preferred":false,"id":955370,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Uden, Daniel R.","contributorId":366157,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","middleInitial":"R.","affiliations":[{"id":87377,"text":"School of Natural Resources, Department of Agronomy and Horticulture, Center for Resilience in Agricultural Working Landscapes, University of Nebraska‐Lincoln; Lincoln, NE 68583, USA","active":true,"usgs":false}],"preferred":false,"id":955371,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mech, Angela M.","contributorId":366158,"corporation":false,"usgs":false,"family":"Mech","given":"Angela","middleInitial":"M.","affiliations":[{"id":87378,"text":"School of Biology and Ecology, University of Maine; Orono, ME 04469, USA;","active":true,"usgs":false}],"preferred":false,"id":955372,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70265975,"text":"70265975 - 2025 - Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations","interactions":[],"lastModifiedDate":"2025-04-22T17:51:00.5316","indexId":"70265975","displayToPublicDate":"2025-02-18T12:50:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations","docAbstract":"<p><span>Developing and testing alternate hypotheses about patterns, mechanisms, and consequences of movement in geographically-large, heterogeneous, natural systems can advance the scientific understanding of animal migration and benefit the conservation of most mobile species. Within organismal movement trajectories, different combinations of residence and movement are predicted from existing ecological theories (e.g. long distance migration, site fidelity, central place foraging, ideal free distribution, habitat shifts). However, testing these conceptually-based, spatially-explicit hypotheses about animal movement and migration in the field can be logistically challenging. Here our purpose is to introduce&nbsp;</span><i>Resmo</i><span>, a framework of metrics and analyses that integrate site-specific RESidence and across-site MOvements. We illustrate the ecological insights from this framework using the empirical example of coastal Striped Bass (</span><i>Morone saxatilis</i><span>) during their seasonal feeding migration. Our use of site-specific&nbsp;</span><i>Resmo</i><span>&nbsp;applied to empirical telemetry data enhanced the understanding of feeding behavior of migratory fish, suggested testable ecologically-meaningful hypotheses about foraging, and identified criteria on which to base the selection of future sampling locations. In summary, the&nbsp;</span><i>Resmo</i><span>&nbsp;approach provides a useful new direction for thinking about animal migration, animal movement, biological conservation, and future priorities for empirical field data collection related to understanding the distribution of mobile organisms.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-79627-1","usgsCitation":"Mather, M.E., Taylor, R.B., Smith, J., and Boles, K., 2025, Integrated patterns of residence and movement create testable hypotheses about fish feeding migrations: Scientific Reports, v. 15, 5951, 17 p., https://doi.org/10.1038/s41598-024-79627-1.","productDescription":"5951, 17 p.","ipdsId":"IP-167462","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-79627-1","text":"Publisher Index Page"},{"id":484860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Ryland B.","contributorId":288583,"corporation":false,"usgs":false,"family":"Taylor","given":"Ryland","email":"","middleInitial":"B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":287830,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph M.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":934219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boles, Kayla M.","contributorId":288585,"corporation":false,"usgs":false,"family":"Boles","given":"Kayla M.","affiliations":[{"id":13409,"text":"Kentucky Department of Fish & Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":934220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263568,"text":"fs20243047 - 2025 - Assessment of undiscovered conventional oil and gas resources of the Greater Caspian area, 2022","interactions":[],"lastModifiedDate":"2025-02-19T21:26:13.636197","indexId":"fs20243047","displayToPublicDate":"2025-02-18T11:50:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3047","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of the Greater Caspian Area, 2022","title":"Assessment of undiscovered conventional oil and gas resources of the Greater Caspian area, 2022","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 34.3 billion barrels of oil and 320 trillion cubic feet of gas in the Greater Caspian area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20243047","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Drake, R.M., II, Finn, T.M., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., Leathers-Miller, H.M., and Timm, K.K., 2025, Assessment of undiscovered conventional oil and gas resources of the Greater Caspian area, 2022: U.S. Geological Survey Fact Sheet 2024–3047, 4 p., https://doi.org/10.3133/fs20243047.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-158278","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":482228,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243047/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3047"},{"id":482044,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13GJMAQ","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Greater Caspian Area: Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"},{"id":482043,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3047/fs20243047.pdf","text":"Report","size":"1.70 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3047"},{"id":482042,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3047/coverthb.jpg"},{"id":482173,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3047/images"},{"id":482174,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3047/fs20243047.xml"}],"otherGeospatial":"Greater Caspian area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              28.39226365171521,\n              51.73369090023991\n            ],\n            [\n              28.39226365171521,\n              35.30642895820323\n            ],\n            [\n              60.11138073113173,\n              35.30642895820323\n            ],\n            [\n              60.11138073113173,\n              51.73369090023991\n            ],\n            [\n              28.39226365171521,\n              51.73369090023991\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\" data-mce-href=\"https://www.usgs.gov/centers/central-energy-resources-science-center\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Total Petroleum Systems and Assessment Units</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2025-02-18","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":255366,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Le, Phuong A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":255367,"corporation":false,"usgs":true,"family":"Le","given":"Phuong A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927371,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cicero, Andrea D. 0000-0003-3632-304X","orcid":"https://orcid.org/0000-0003-3632-304X","contributorId":270005,"corporation":false,"usgs":true,"family":"Cicero","given":"Andrea","email":"","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927372,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927373,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927374,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927375,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hearon, Jane S. 0000-0002-1370-8169","orcid":"https://orcid.org/0000-0002-1370-8169","contributorId":270007,"corporation":false,"usgs":true,"family":"Hearon","given":"Jane","email":"","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927376,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927377,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lagesse, Jenny H. 0000-0002-3541-4751","orcid":"https://orcid.org/0000-0002-3541-4751","contributorId":248367,"corporation":false,"usgs":true,"family":"Lagesse","given":"Jenny","email":"","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927378,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":210000,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi M.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927379,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Timm, Kira K. 0000-0002-7439-4626","orcid":"https://orcid.org/0000-0002-7439-4626","contributorId":270009,"corporation":false,"usgs":true,"family":"Timm","given":"Kira","email":"","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":927380,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70265933,"text":"70265933 - 2025 - Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups","interactions":[],"lastModifiedDate":"2025-04-22T16:09:28.804094","indexId":"70265933","displayToPublicDate":"2025-02-18T11:02:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups","docAbstract":"<p><span>Information about what ecological conditions are likely, causes or drivers of degradation, and potential management actions to restore degraded lands may support land conservation and restoration decisions. State-and-transition models (STMs) describe persistent plant and ecological conditions that are possible (the “state”) within a given abiotic setting and drivers or actions that can cause shifts between states (the “transitions”). These primarily conceptual models are widely used to inform resource and conservation decisions. Data-driven STMs have been developed for some lands, but not at regional or national scales. Here, we demonstrate a new repeatable workflow for developing data-driven STMs in the United States (US). The approach leverages predictive maps of Ecological Site Groups (ESGs), extensive field-based Federal monitoring databases, information from Ecological Site Description (ESD) STMs, soil erosion models, remotely sensed productivity, and other available spatial information (fire, land protection, and drought) to provide context and descriptions of the data-driven states, including likely drivers of transitions. Results of this workflow applied to one dryland ESG in the Upper Colorado River Basin in the southwestern US suggest that an Invaded state (16% of 1352 plots) and some occurrences of a Grassland state (30% of plots) are in a degraded or at-risk condition with reduced ecosystem services. The most common drivers of state transitions in the associated ESDs (</span><i>n</i><span> = 26) are related to livestock grazing and fire. The Invaded state in the ESG has evidence of degraded habitat quality and accelerated run-off while the Grassland state occurrences show reduced richness, productivity, and elevated erosion risk by wind. Areas subject to wildfire and with lower protection status had greater probability of Invaded state occurrence, generally supporting drivers in ESDs. The workflow presented here can serve as a template for describing ecological dynamics at regional scales, and support prioritization of land for conservation and climate adaptation activities.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.12.006","usgsCitation":"Duniway, M.C., Knight, A.C., Nauman, T., Bishop, T., McCord, S.E., Webb, N.P., Williams, C., and Humphries, J.T., 2025, Quantifying regional ecological dynamics using agency monitoring data, ecological site descriptions, and ecological site groups: Rangeland Ecology & Management, v. 99, p. 119-142-142, https://doi.org/10.1016/j.rama.2024.12.006.","productDescription":"24 p.","startPage":"119-142","endPage":"142","ipdsId":"IP-158948","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.12.006","text":"Publisher Index Page"},{"id":484842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nauman, Travis W.","contributorId":310519,"corporation":false,"usgs":false,"family":"Nauman","given":"Travis W.","affiliations":[{"id":67201,"text":"USDA-NRCS National Soil Survey Center, 2290 SW Resource Blvd., Moab, UT, 84532, USA","active":true,"usgs":false}],"preferred":false,"id":934068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":934069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":934070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":934071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":934072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Humphries, Joel T.","contributorId":270937,"corporation":false,"usgs":false,"family":"Humphries","given":"Joel","email":"","middleInitial":"T.","affiliations":[{"id":56221,"text":"US Bureau of Land Management, Colorado State Office, Lakewood, CO 80215, USA","active":true,"usgs":false}],"preferred":false,"id":934073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264360,"text":"70264360 - 2025 - Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado","interactions":[],"lastModifiedDate":"2025-04-17T15:36:43.417614","indexId":"70264360","displayToPublicDate":"2025-02-18T08:43:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20209,"text":"Mining, Metallurgy and Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado","docAbstract":"<p><span>The Paradox Basin’s Sinbad seep is a modern analog for ancient bleaching of red bed sediments by introduced alkaline, reducing brines. This bleaching, involving reductive alteration of former red beds, is essential ground preparation that enables the altered rocks to trap Cu, U, and V from later oxidized fluids, forming ore deposits. Study of Sinbad thus offers insights into these metallic mineralization processes in the Paradox and other sedimentary basins. The Sinbad seep occurs where shallow groundwater interacts with organic-rich petroleum source rocks, flows up a fault, and discharges into Salt Creek. Ratios of Na/Cl, Na/Br, and Cl/Br, plus high sulfate concentrations, indicate that the salinity of the seep water originated from dissolution of halite and gypsum during topographically driven flow of meteoric water across a diapir of the Pennsylvanian Paradox Formation, rather than from deep basinal brines. In contact with the organic-rich shales of the Paradox, these SO</span><sub>4</sub><span>-rich waters become reduced through bacterial reduction, producing H</span><sub>2</sub><span>S. The waters react with red beds of the Permian Cutler Formation, causing pervasive bleaching. The bleaching at Sinbad is characterized by iron-conservative reduction of ferric iron in diagenetic hematite and detrital ilmenite and magnetite to Fe sulfides. The ferrous iron is retained in these sulfides likely as sorbed Fe. Associated alteration includes precipitation of quartz and feldspar overgrowths, partial dissolution of detrital quartz and feldspar caused by pressure solution, formation of clay and authigenic rutile, and precipitation of carbonate and gypsum. The Fe sulfides rapidly degenerate to a mixture of jarosite and iron oxides on weathering at the surface. Among the major-oxide elements and most trace elements, there is no statistical difference between unbleached and bleached samples. The exceptions are uranium and sulfur, which are somewhat greater in bleached samples. Fission track radiography illuminates that uranium is preferentially concentrated in iron oxide cements, iron sorbed into detrital clasts, and finely disseminated iron oxide in illite cement in bleached samples. A leaching experiment suggests that uranium may be more easily available for mobilization from rocks that have undergone bleaching alteration, making them potential U sources. In addition, bleached rocks form effective traps for U, V, and some Cu mineralization.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s42461-025-01184-6","usgsCitation":"Barton, I., Thorson, J., Hall, S., Zielinski, R.A., McIntosh, J., and Kim, J., 2025, Reduction of red bed sedimentary rocks in connection with energy metal ore formation: A case study from the Sinbad seep, Mesa County, Colorado: Mining, Metallurgy and Exploration, v. 42, p. 1177-1197, https://doi.org/10.1007/s42461-025-01184-6.","productDescription":"21 p.","startPage":"1177","endPage":"1197","ipdsId":"IP-159441","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":483229,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Mesa County","otherGeospatial":"Sinbad seep","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-109.053,39.3667],[-108.4096,39.366],[-107.4309,39.3662],[-107.4288,39.3613],[-107.4306,39.3479],[-107.4509,39.33],[-107.463,39.3269],[-107.4661,39.3218],[-107.4653,39.314],[-107.4516,39.3045],[-107.4448,39.3087],[-107.4386,39.3091],[-107.4393,39.3022],[-107.4358,39.2989],[-107.4212,39.2969],[-107.4126,39.2919],[-107.397,39.295],[-107.3965,39.2837],[-107.3935,39.2787],[-107.3793,39.2756],[-107.3772,39.2719],[-107.3799,39.2686],[-107.3915,39.264],[-107.3944,39.2565],[-107.4004,39.253],[-107.4123,39.2542],[-107.42,39.255],[-107.423,39.255],[-107.4248,39.2545],[-107.4259,39.2531],[-107.4258,39.2477],[-107.4264,39.245],[-107.4275,39.2427],[-107.4298,39.2395],[-107.4339,39.2358],[-107.4363,39.2344],[-107.4445,39.2312],[-107.4551,39.2283],[-107.4617,39.2269],[-107.4652,39.2268],[-107.4682,39.2263],[-107.4706,39.2272],[-107.4742,39.229],[-107.476,39.2303],[-107.4784,39.2317],[-107.4808,39.2316],[-107.4825,39.2307],[-107.4837,39.2298],[-107.4854,39.2275],[-107.4884,39.2252],[-107.5001,39.2201],[-107.5095,39.2145],[-107.5177,39.2108],[-107.5236,39.2071],[-107.5242,39.2048],[-107.5235,39.2017],[-107.5192,39.1972],[-107.5198,39.1963],[-107.5216,39.1953],[-107.5275,39.1962],[-107.5305,39.1957],[-107.5346,39.1943],[-107.5369,39.1915],[-107.5398,39.1874],[-107.5409,39.1833],[-107.5414,39.1797],[-107.5431,39.176],[-107.5455,39.1737],[-107.5478,39.1724],[-107.5502,39.1714],[-107.5531,39.1723],[-107.5597,39.1745],[-107.5633,39.1758],[-107.5681,39.1762],[-107.5787,39.1742],[-107.5823,39.1737],[-107.5858,39.171],[-107.5886,39.1664],[-107.5891,39.1628],[-107.5903,39.1605],[-107.5926,39.1591],[-107.6032,39.1558],[-107.6109,39.153],[-107.625,39.146],[-107.6338,39.1404],[-107.6413,39.1349],[-107.6477,39.1294],[-107.653,39.1243],[-107.6564,39.1197],[-107.6587,39.1165],[-107.6592,39.1138],[-107.6604,39.1111],[-107.6627,39.1088],[-107.6644,39.1074],[-107.6691,39.105],[-107.6738,39.1032],[-107.6767,39.1],[-107.6772,39.0963],[-107.6753,39.0923],[-107.6759,39.0891],[-107.6776,39.0868],[-107.6805,39.0854],[-107.6858,39.084],[-107.6912,39.0844],[-107.6971,39.0843],[-107.7024,39.0828],[-107.7071,39.0805],[-107.7112,39.0782],[-107.7129,39.075],[-107.7147,39.0736],[-107.7245,39.0662],[-107.7368,39.0597],[-107.7573,39.0476],[-107.7655,39.043],[-107.7672,39.0425],[-107.7696,39.0434],[-107.7751,39.0501],[-107.7788,39.0537],[-107.7848,39.0577],[-107.7902,39.0603],[-107.7991,39.0629],[-107.8087,39.0655],[-107.823,39.0703],[-107.841,39.0768],[-107.8458,39.0785],[-107.8487,39.0789],[-107.8547,39.0784],[-107.8734,39.0709],[-107.8887,39.0665],[-107.8981,39.0632],[-107.91,39.0621],[-107.9271,39.0619],[-107.9319,39.0618],[-107.9555,39.0583],[-107.959,39.0578],[-107.9751,39.0589],[-107.9786,39.0588],[-107.981,39.0583],[-107.9839,39.0569],[-107.9891,39.0514],[-107.9943,39.0477],[-108.01,39.0379],[-108.0188,39.0332],[-108.031,39.0258],[-108.0333,39.023],[-108.0361,39.0166],[-108.0384,39.0143],[-108.0431,39.0111],[-108.0454,39.0101],[-108.0466,39.0106],[-108.0484,39.0119],[-108.0502,39.0123],[-108.052,39.0123],[-108.0537,39.0109],[-108.0577,39.0063],[-108.0658,38.9998],[-108.0669,38.9966],[-108.0704,38.9943],[-108.0803,38.9873],[-108.0861,38.9818],[-108.0896,38.9804],[-108.0925,38.9794],[-108.0936,38.9776],[-108.093,38.9749],[-108.0886,38.9668],[-108.0879,38.965],[-108.0879,38.9636],[-108.0907,38.9595],[-108.0993,38.9489],[-108.1016,38.9471],[-108.1044,38.942],[-108.1073,38.9384],[-108.1136,38.9328],[-108.1222,38.9236],[-108.1252,38.9222],[-108.1287,38.9217],[-108.1329,38.9225],[-108.1364,38.9229],[-108.1388,38.9229],[-108.1411,38.9206],[-108.1428,38.9183],[-108.1433,38.9155],[-108.1432,38.9123],[-108.1401,38.9074],[-108.1395,38.9052],[-108.1406,38.9047],[-108.1448,38.9051],[-108.1471,38.9041],[-108.1488,38.9014],[-108.1517,38.9004],[-108.1647,38.8997],[-108.1729,38.896],[-108.1763,38.8927],[-108.2267,38.876],[-108.2449,38.8707],[-108.3776,38.826],[-108.3772,38.6678],[-108.3771,38.6116],[-108.3791,38.4999],[-108.6635,38.4992],[-109.0602,38.4991],[-109.0604,38.5362],[-109.0604,38.5467],[-109.0602,38.5612],[-109.0597,38.6047],[-109.0597,38.6096],[-109.0596,38.6727],[-109.055,38.9283],[-109.0548,38.941],[-109.0547,38.9454],[-109.0546,38.9546],[-109.0543,38.9608],[-109.0544,38.9691],[-109.0538,39.0008],[-109.0538,39.0135],[-109.0537,39.028],[-109.0534,39.1011],[-109.0534,39.1151],[-109.0531,39.1813],[-109.0531,39.1881],[-109.0531,39.2026],[-109.053,39.2752],[-109.053,39.2897],[-109.053,39.3627],[-109.053,39.3667]]]},\"properties\":{\"name\":\"Mesa\",\"state\":\"CO\"}}]}","volume":"42","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Barton, Isabel","contributorId":352254,"corporation":false,"usgs":false,"family":"Barton","given":"Isabel","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930518,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thorson, Jon P.","contributorId":352255,"corporation":false,"usgs":false,"family":"Thorson","given":"Jon P.","affiliations":[{"id":36466,"text":"Consulting Geologist","active":true,"usgs":false}],"preferred":false,"id":930519,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Susan 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":201829,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":930520,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, Robert A. 0000-0002-4047-5129 rzielinski@usgs.gov","orcid":"https://orcid.org/0000-0002-4047-5129","contributorId":1593,"corporation":false,"usgs":true,"family":"Zielinski","given":"Robert","email":"rzielinski@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":930521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIntosh, Jennifer","contributorId":352256,"corporation":false,"usgs":false,"family":"McIntosh","given":"Jennifer","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930522,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Ji-Hyun","contributorId":352257,"corporation":false,"usgs":false,"family":"Kim","given":"Ji-Hyun","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":930523,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264318,"text":"70264318 - 2025 - Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces","interactions":[],"lastModifiedDate":"2025-07-09T15:57:43.400612","indexId":"70264318","displayToPublicDate":"2025-02-18T07:58:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces","docAbstract":"<p><span>Models for crustal growth commonly involve the accretion of dominantly juvenile crust to continental margins. However, tracking the provenance and tectonic affinity of dominantly juvenile crustal provinces is challenging. This difficulty is highlighted by uncertainty over whether the Yavapai and Mojave Provinces, part of the &gt;1300-km-wide system of Proterozoic orogens in southwestern Laurentia, (1) have similar crustal and tectonic histories and (2) if they formed on or near Laurentian, Australian, or Antarctic cratons. Here, we contribute new large-n detrital zircon U-Pb geochronology and Sm-Nd whole-rock isotope geochemistry to help constrain the provenance of the Yavapai Province and address these broader questions. Yavapai Province metasedimentary rocks from central Colorado in the southwestern USA have abundant pre-1.80 Ga detrital zircon grains, with ca. 1.85 Ga, 2.30 Ga, and 2.50−2.70 Ga peaks, and variable amounts of 1.79−1.78 Ga grains. Evolved whole-rock Sm-Nd isotopic compositions from these rocks, including 2.36−2.08 Ga model ages, also suggest mixing between 1.79 Ga and 1.78 Ga Yavapai Province arcs and early Proterozoic to Archean sources. Nearly identical pre-1.8 Ga detrital and inherited zircon age distributions suggest that the Yavapai and Mojave Provinces formed on and/or incorporated similar material. The Trans-Hudson orogen, and to a slightly lesser extent the Penokean orogen, provide the closest matches to the pre-1.80 Ga material in the Yavapai and Mojave Provinces. This similarity, coupled with a weaker resemblance to Australian and Antarctic sources, support a Laurentian affinity for the Yavapai and Mojave Provinces. We envision Paleoproterozoic arc formation on both oceanic crust and material of Laurentian affinity and multiple phases of arc-back-arc genesis, closure, and accretionary tectonism along the long-lived margin of the supercontinent Columbia (Nuna).</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37882.1","usgsCitation":"Hillenbrand, I.W., Gilmer, A.K., Premo, W.R., Williams, M.L., and Jercinovic, M.J., 2025, Re-evaluating the tectonic affinity of Proterozoic crustal provinces in the Southwest USA: Detrital zircon evidence for a Laurentian source for the Yavapai and Mojave Provinces: Geological Society of America Bulletin, v. 137, no. 7-8, p. 2965-2981, https://doi.org/10.1130/B37882.1.","productDescription":"17 p.","startPage":"2965","endPage":"2981","ipdsId":"IP-167810","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":483199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, Idaho, New Mexico, Utah, Wyoming","otherGeospatial":"southwest United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.95423255032217,\n              42.82922329789568\n            ],\n            [\n              -113.95423255032217,\n              31.615412012487866\n            ],\n            [\n              -102.42220824721481,\n              31.615412012487866\n            ],\n            [\n              -102.42220824721481,\n              42.82922329789568\n            ],\n            [\n              -113.95423255032217,\n              42.82922329789568\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"137","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2025-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":930412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":930413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":930414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":930415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":930416,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263851,"text":"70263851 - 2025 - Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus)","interactions":[],"lastModifiedDate":"2025-04-17T15:32:18.845464","indexId":"70263851","displayToPublicDate":"2025-02-17T15:20:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (<i>Thamnophis rufipunctatus</i>)","title":"Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus)","docAbstract":"<p><span>Enhancing gene flow through translocations can be a useful tool in recovering small and isolated populations. However, it is not devoid of genetic risks, such as outbreeding depression in future generations, that can have negative consequences in terms of the establishment and mean fitness of the population. Studies that monitor the long-term effects of genetic rescue on populations in the wild are few, especially for snakes. We used long-term genetic monitoring and body condition indices to investigate the consequences of conservation translocation and genetic admixture in a Mogollon Narrow-headed Gartersnake (</span><i>Thamnophis rufipunctatus</i><span>) wild population. We compared genetic diversity and fitness metrics among the source and recipient populations to evaluate individual- and population-level fitness responses related to the conservation translocation. Our study found persistent captures with continued monitoring for over a decade post-release, and the recipient population showed lower inbreeding values and an increase in heterozygosity that was 19% higher than the two source populations. Snakes sampled in the recipient population had higher individual heterozygosity and body condition than those in the extant source and reference populations. Further, Bayesian regression models supported a significant positive relationship between heterozygosity and body condition after accounting for among-site differences, suggesting that efforts to increase heterozygosity can improve mean fitness in these populations. Our study highlights the potential benefits of conservation translocation from multiple source populations to restore the distribution and increase heterozygosity and population fitness of this threatened gartersnake. Alongside ecological restoration, translocation programs could be used to ensure both the persistence and resilience of populations throughout the species’ range.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-025-01677-3","usgsCitation":"Wood, D.A., Christman, B.L., Jennings, R., Rose, J.P., Nowak, E.M., Schofer, J., and Vandergast, A.G., 2025, Increased heterozygosity and body condition result from admixed translocation of the threatened Mogollon Narrow-headed Gartersnake (Thamnophis rufipunctatus): Conservation Genetics, v. 26, p. 403-418, https://doi.org/10.1007/s10592-025-01677-3.","productDescription":"16 p.","startPage":"403","endPage":"418","ipdsId":"IP-172385","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488336,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01677-3","text":"Publisher Index Page"},{"id":482512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.04554823680535,\n              33.80117748726563\n            ],\n            [\n              -109.04554823680535,\n              33.35048803691312\n            ],\n            [\n              -108.38767728510955,\n              33.35048803691312\n            ],\n            [\n              -108.38767728510955,\n              33.80117748726563\n            ],\n            [\n              -109.04554823680535,\n              33.80117748726563\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christman, Bruce L.","contributorId":207392,"corporation":false,"usgs":false,"family":"Christman","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":928677,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennings, Randy D.","contributorId":351489,"corporation":false,"usgs":false,"family":"Jennings","given":"Randy D.","affiliations":[{"id":83996,"text":"Western New Mexico University","active":true,"usgs":false}],"preferred":false,"id":928678,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928679,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, Erika M.","contributorId":207510,"corporation":false,"usgs":false,"family":"Nowak","given":"Erika","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":928680,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schofer, Justin","contributorId":351490,"corporation":false,"usgs":false,"family":"Schofer","given":"Justin","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":928681,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928682,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70266858,"text":"70266858 - 2025 - Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","interactions":[],"lastModifiedDate":"2025-05-13T15:50:11.018065","indexId":"70266858","displayToPublicDate":"2025-02-17T10:41:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau","docAbstract":"<p><span>Understanding the geodynamics of plateau evolution requires examining the spatial and temporal aspects of mountain building in the northeastern Tibetan Plateau, which are still under debate. Here we integrate apatite geo-thermochronological and geochemical data from the Oligocene-Miocene succession of the Xunhua Basin to elucidate the evolution of the regional topography. The results suggest sediment provenance changes, at ca. 28, 20 and 12&nbsp;Ma, indicating topographic growth of the West Qinling, Laji Shan, and Jishi Shan source areas, respectively. Our findings reveal Oligocene-Miocene stepwise deformation and middle Miocene stress reorganization within the northeastern Tibetan Plateau. We attribute this to Oligocene lithospheric foundering beneath the south-central Tibetan Plateau and the middle Miocene initiation of sinistral strike-slip faults due to the underthrusting of India and North China. This study highlights the roles of lithospheric removal and continental underthrusting in plateau growth, and the value of multi-proxy apatite analyses in provenance studies.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113157","usgsCitation":"Guo, C., Zhang, Z., Lease, R.O., Malusa, M., Chew, D., Lu, H., Wu, L., Xiang, D., Wang, N., Grasemann, B., and Xiao, W., 2025, Apatite geo-thermochronology and geochemistry constrain Oligocene-Miocene growth and geodynamics of the northeastern Tibetan Plateau: Geophysical Research Letters, v. 52, no. 4, e2024GL113157, 12 p., https://doi.org/10.1029/2024GL113157.","productDescription":"e2024GL113157, 12 p.","ipdsId":"IP-150325","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":488198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113157","text":"Publisher Index Page"},{"id":485824,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Northeastern Tibetan Plateau","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              101,\n              37\n            ],\n            [\n              101,\n              35\n            ],\n            [\n              103.5,\n              35\n            ],\n            [\n              103.5,\n              37\n            ],\n            [\n              101,\n              37\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Chao","contributorId":355157,"corporation":false,"usgs":false,"family":"Guo","given":"Chao","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Zhiyong","contributorId":355158,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhiyong","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":936948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malusa, Marco","contributorId":355160,"corporation":false,"usgs":false,"family":"Malusa","given":"Marco","affiliations":[{"id":84720,"text":"University of Milano","active":true,"usgs":false}],"preferred":false,"id":936950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chew, David","contributorId":355159,"corporation":false,"usgs":false,"family":"Chew","given":"David","affiliations":[{"id":61788,"text":"Trinity College Dublin","active":true,"usgs":false}],"preferred":false,"id":936949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lu, Haijian","contributorId":355161,"corporation":false,"usgs":false,"family":"Lu","given":"Haijian","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936951,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Lin","contributorId":355162,"corporation":false,"usgs":false,"family":"Wu","given":"Lin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936952,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Xiang, Dunfeng","contributorId":355163,"corporation":false,"usgs":false,"family":"Xiang","given":"Dunfeng","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936953,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wang, Nan","contributorId":355164,"corporation":false,"usgs":false,"family":"Wang","given":"Nan","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936954,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grasemann, Bernhard","contributorId":355165,"corporation":false,"usgs":false,"family":"Grasemann","given":"Bernhard","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":936955,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Xiao, Wenjiao","contributorId":355166,"corporation":false,"usgs":false,"family":"Xiao","given":"Wenjiao","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":936956,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70266086,"text":"70266086 - 2025 - Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes","interactions":[],"lastModifiedDate":"2025-05-12T15:47:36.606655","indexId":"70266086","displayToPublicDate":"2025-02-17T10:08:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes","docAbstract":"<p><span>As part of the Great Lakes Restoration Initiative, chemical monitoring and surveillance efforts have detected approximately 330 chemicals in surface water of Great Lakes tributaries. There were 140 chemicals for which no empirical toxicity data were available. The aim of this study was to generate transcriptomic points of departure (tPODs) for 10 of these compounds and demonstrate how they could be applied in a screening-level prioritization. Organisms representing three trophic levels of the aquatic food web (</span><i>Pimephales promelas</i><span>,&nbsp;</span><i>Daphnia magna</i><span>, and&nbsp;</span><i>Raphidocelis subcapitata</i><span>) were exposed for 24 hr to a half-log dilution series of nominal exposure concentrations typically ranging from 66.7–0.021 µM of each chemical. In addition to observations of apical effects (e.g., survival and morphology), whole body transcriptomic responses (tPODs) to each chemical were evaluated with targeted analysis using TempO-seq for&nbsp;</span><i>P. promelas</i><span>&nbsp;and&nbsp;</span><i>D. magna</i><span>&nbsp;and nontargeted RNA-seq for&nbsp;</span><i>R. subcapitata</i><span>. The tPODs ranged from 0.18–10.8 µM for&nbsp;</span><i>P. promelas</i><span>&nbsp;and 0.32–29 µM for&nbsp;</span><i>D. magna</i><span>, with the most potent of the chemicals tested being fipronil carboxamide for both species. For&nbsp;</span><i>R. subcapitata</i><span>, the tPODs ranged from 0.04–1.77 µM, with gabapentin as the most potent chemical tested. Empirically derived tPODs from these data-poor chemicals were compared with concentrations detected in the Great Lakes basin. Environmental concentrations were less than the tPODs except for&nbsp;</span><i>R. subcapitata</i><span>&nbsp;and 3,4-dichlorophenyl isocyanate. Similarly, tPODs from previously tested data-rich chemicals were compared with environmental concentrations, in which case tPODs from several chemicals overlapped environmental concentrations. This work demonstrates the potential utility of emerging ecological high-throughput transcriptomics assays to support screening and prioritization of data-poor environmental contaminants.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf050","usgsCitation":"Jenna Cavallin, Kendra Bush, Corsi, S., DeCicco, L., Kevin Flynn, Alex Kasparek, Monique Hazimi, Erin Maloney, Peter Schuman, and Daniel Villeneuve, 2025, Application of transcriptomics concentration-response modeling for prioritization of contaminants detected in tributaries of the North American Great Lakes: Environmental Toxicology and Chemistry, v. 44, no. 5, p. 1310-1321, https://doi.org/10.1093/etojnl/vgaf050.","productDescription":"12 p.","startPage":"1310","endPage":"1321","ipdsId":"IP-167135","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":484984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenna Cavallin","contributorId":353840,"corporation":false,"usgs":false,"family":"Jenna Cavallin","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendra Bush","contributorId":353841,"corporation":false,"usgs":false,"family":"Kendra Bush","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeCicco, Laura 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":215381,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kevin Flynn","contributorId":353846,"corporation":false,"usgs":false,"family":"Kevin Flynn","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alex Kasparek","contributorId":353847,"corporation":false,"usgs":false,"family":"Alex Kasparek","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":934554,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monique Hazimi","contributorId":353850,"corporation":false,"usgs":false,"family":"Monique Hazimi","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erin Maloney","contributorId":353852,"corporation":false,"usgs":false,"family":"Erin Maloney","affiliations":[{"id":34699,"text":"University of Minnesota-Duluth","active":true,"usgs":false}],"preferred":false,"id":934556,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peter Schuman","contributorId":353856,"corporation":false,"usgs":false,"family":"Peter Schuman","affiliations":[{"id":6784,"text":"US EPA","active":true,"usgs":false}],"preferred":false,"id":934557,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daniel Villeneuve","contributorId":353857,"corporation":false,"usgs":false,"family":"Daniel Villeneuve","affiliations":[],"preferred":false,"id":934558,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
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