{"pageNumber":"20","pageRowStart":"475","pageSize":"25","recordCount":4111,"records":[{"id":70234156,"text":"70234156 - 2022 - Fifty years of Landsat science and impacts","interactions":[],"lastModifiedDate":"2022-08-02T13:41:56.206949","indexId":"70234156","displayToPublicDate":"2022-07-28T08:08:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Fifty years of Landsat science and impacts","docAbstract":"<p><span>Since 1972, the&nbsp;</span>Landsat<span>&nbsp;program has been continually monitoring the Earth, to now provide 50&nbsp;years of digital, multispectral,&nbsp;medium spatial resolution&nbsp;observations. Over this time, Landsat data were crucial for many scientific and technical advances. Prior to the Landsat program, detailed, synoptic depictions of the Earth's surface were rare, and the ability to acquire and work with large datasets was limited. The early years of the Landsat program delivered a series of technological breakthroughs, pioneering new methods, and demonstrating the ability and capacity of digital satellite imagery, creating a template for other global Earth observation missions and programs. Innovations driven by the Landsat program have paved the way for subsequent science, application, and policy support activities. The economic and scientific value of the knowledge gained through the Landsat program has been long recognized, and despite periods of funding uncertainty, has resulted in the program's 50&nbsp;years of continuity, as well as substantive and ongoing improvements to payload and mission performance. Free and open access to Landsat data, enacted in 2008, was unprecedented for medium spatial resolution Earth observation data and substantially increased usage and led to a proliferation of science and application opportunities. Here, we highlight key developments over the past 50&nbsp;years of the Landsat program that have influenced and changed our scientific understanding of the Earth system. Major scientific and programmatic impacts have been realized in the areas of agricultural crop mapping and water use, climate change drivers and impacts, ecosystems and land cover monitoring, and mapping the changing human footprint. The introduction of Landsat collection processing, coupled with the free and open data policy, facilitated a transition in Landsat data usage away from single images and towards time series analyses over large areas and has fostered the widespread use of science-grade data. The launch of Landsat-9 on September 27, 2021, and the advanced planning of its successor mission, Landsat-Next, underscore the sustained institutional support for the program. Such support and commitment to continuity is recognition of both the historic impact the program, and the future potential to build upon Landsat's remarkable 50-year legacy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2022.113195","usgsCitation":"Wulder, M., Roy, D., Radeloff, V., Loveland, T., Anderson, M.C., Johnson, D.M., Healey, S., Zhu, Z., Scambos, T.A., Pahlevan, N., Hansen, M., Gorelick, N., Crawford, C., Masek, J.G., Hermosilla, T., White, J.C., Belward, A.S., Schaaf, C., Woodcock, C.E., Huntington, J., Lymburner, L., Hostert, P., Gao, F., Lyapustin, A., Pekel, J., Strobl, P., Eric Vermote, and Cook, B., 2022, Fifty years of Landsat science and impacts: Remote Sensing of Environment, v. 280, 113195, 21 p., https://doi.org/10.1016/j.rse.2022.113195.","productDescription":"113195, 21 p.","ipdsId":"IP-140037","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) 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,{"id":70233917,"text":"70233917 - 2022 - Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world","interactions":[],"lastModifiedDate":"2022-08-15T13:59:24.968029","indexId":"70233917","displayToPublicDate":"2022-07-25T07:27:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Responses of terrestrial ecosystems to climate change have been explored in many regions worldwide. While continued drying and warming may alter process rates and deteriorate the state and performance of ecosystems, it could also lead to more fundamental changes in the mechanisms governing ecosystem functioning. Here we argue that climate change will induce unprecedented shifts in these mechanisms in historically wetter climatic zones, towards mechanisms currently prevalent in dry regions, which we refer to as ‘dryland mechanisms’. We discuss 12 dryland mechanisms affecting multiple processes of ecosystem functioning, including vegetation development, water flow, energy budget, carbon and nutrient cycling, plant production and organic matter decomposition. We then examine mostly rare examples of the operation of these mechanisms in non-dryland regions where they have been considered irrelevant at present. Current and future climate trends could force microclimatic conditions across thresholds and lead to the emergence of dryland mechanisms and their increasing control over ecosystem functioning in many biomes on Earth.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41559-022-01779-y","usgsCitation":"Grunzweig, J.M., De Boeck, H.J., Rey, A., Santos, M., Adam, O., Bahn, M., Belnap, J., Deckmyn, G., Dekker, S.C., Flores, O., Gliksman, D., Helman, D., Hultine, K.R., Liu, L., Meron, E., Michael, Y., Sheffer, E., Throop, H.L., Tzuk, O., and Yakir, D., 2022, Dryland mechanisms could widely control ecosystem functioning in a drier and warmer world: Nature Ecology & Evolution, v. 6, p. 1064-1076, https://doi.org/10.1038/s41559-022-01779-y.","productDescription":"13 p.","startPage":"1064","endPage":"1076","ipdsId":"IP-139122","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":467173,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://dspace.library.uu.nl/handle/1874/422177","text":"External Repository"},{"id":404534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2022-07-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grunzweig, Jose M","contributorId":293846,"corporation":false,"usgs":false,"family":"Grunzweig","given":"Jose","email":"","middleInitial":"M","affiliations":[{"id":63529,"text":"Institute of Plant Sciences and Genetics in Agriculture, the Robert H. 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,{"id":70235770,"text":"70235770 - 2022 - Cathodoluminescence response of barite at room and liquid nitrogen temperatures","interactions":[],"lastModifiedDate":"2022-08-18T15:08:46.507218","indexId":"70235770","displayToPublicDate":"2022-07-22T09:52:55","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Cathodoluminescence response of barite at room and liquid nitrogen temperatures","docAbstract":"<p>Rare earth element (REE) enrichment in the Elk Creek carbonatite, Nebraska USA, is comparable to ore grade enrichment in carbonatite-hosted REE deposits[1]. Petrographic examination of textures documents a complex history of crystallization, brecciation, recrystallization, oxidation, and near surface alteration. Barite (BaSO<sub>4</sub>) is present in most units, including REE-enriched zones, such that it may provide important constraints on processes that lead to ore-grade enrichment of carbonatites. Samples containing barite from different temperature regimes within the deposit were chosen to study the cathodoluminescence (CL) response at room and liquid nitrogen (LN) temperatures to help determine the processes by which REEs were enriched within the deposit and possible contributions of REE to the CL response.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S1431927622003178","usgsCitation":"Lowers, H.A., MacRae, C., Wilson, N., and Verplanck, P., 2022, Cathodoluminescence response of barite at room and liquid nitrogen temperatures, v. 28, no. S1, p. 668-670, https://doi.org/10.1017/S1431927622003178.","productDescription":"3 p.","startPage":"668","endPage":"670","ipdsId":"IP-138351","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":405309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"S1","noUsgsAuthors":false,"publicationDate":"2022-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":849229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacRae, Colin","contributorId":295342,"corporation":false,"usgs":false,"family":"MacRae","given":"Colin","email":"","affiliations":[{"id":63849,"text":"CSIRO Minerals","active":true,"usgs":false}],"preferred":false,"id":849230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Nick","contributorId":295343,"corporation":false,"usgs":false,"family":"Wilson","given":"Nick","email":"","affiliations":[{"id":63849,"text":"CSIRO Minerals","active":true,"usgs":false}],"preferred":false,"id":849231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verplanck, Philip L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":212813,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","middleInitial":"L.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":849232,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70233266,"text":"sir20225067 - 2022 - Occurrence of per- and polyfluoroalkyl substances and inorganic analytes in groundwater and surface water used as sources for public water supply in West Virginia","interactions":[],"lastModifiedDate":"2026-04-23T16:56:26.153204","indexId":"sir20225067","displayToPublicDate":"2022-07-20T11:40:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5067","displayTitle":"Occurrence of Per- and Polyfluoroalkyl Substances and Inorganic Analytes in Groundwater and Surface Water Used as Sources for Public Water Supply in West Virginia","title":"Occurrence of per- and polyfluoroalkyl substances and inorganic analytes in groundwater and surface water used as sources for public water supply in West Virginia","docAbstract":"<p>Per- and polyfluoroalkyl substances (PFAS) are widely observed anthropogenic compounds found in water supplies worldwide and increasingly linked with adverse health effects in humans. In 2019, the West Virginia Legislature recognized the contamination risk to public source-water supplies posed by PFAS and passed a resolution that required a statewide PFAS study. The purpose of the resolution was to understand the occurrence and distribution of PFAS contamination throughout the State’s rivers, lakes, and groundwater aquifers. The U.S. Geological Survey has worked in cooperation with the West Virginia Department of Environmental Protection and West Virginia Department of Health and Human Resources to collect raw-water samples at 279 public-water systems across West Virginia. Public-water systems sampled for this study were identified by the West Virginia Department of Health and Human Resources and included all community water systems in the State and all daycares and schools that operate their own water systems.</p><p>Raw source water was sampled for both groundwater and surface-water sites at the first available tap in the public-water system, prior to any treatment. One hundred and seventy-three samples were collected from groundwater sources and 106 samples were collected from surface-water sources. Parameters collected at the time of sampling included pH, specific conductance, water temperature, dissolved oxygen, turbidity, and alkalinity. PFAS was analyzed at all 279 sites, major ions and trace elements were analyzed at 272 sites, and nutrients were analyzed at 270 sites.</p><p>The type of source water used for public supply in West Virginia is generally dependent on geology with more groundwater sites sampled in high-yield aquifers such as karst and alluvium. Surface-water sites were more evenly distributed throughout the State and are often the only source used in areas underlain by lower-yielding fractured-rock aquifers. Twenty-four percent of the sites sampled for this study had at least 1 PFAS detected, 47 of which were in groundwater sources and 20 in surface-water sources. Five sites exceeded the U.S. Environmental Protection Agency’s health advisory for combined perfluorooctanoate and perfluorooctanesulfonate concentrations of 70 nanograms per liter. These sites were located in highly susceptible karst and alluvial groundwater aquifers on the east and west sides of the State.</p><p>Higher PFAS concentrations were more commonly found in groundwater than surface-water sources, and high concentrations and PFAS detections were generally concentrated in the Ohio River Valley and West Virginia’s eastern panhandle. PFAS was rarely detected in groundwater sites in fractured-rock aquifers and abandoned underground coal-mine aquifers in the Appalachian Plateaus Physiographic Province had very little PFAS detected. These data represent a baseline summary of source water in West Virginia. Additional studies may be needed to understand exposure to private homeowners with domestic-water sources, variability of PFAS concentrations over time, and PFAS in finished drinking water as evaluated by current and future drinking-water regulations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225067","collaboration":"Prepared in cooperation with the West Virginia Department of Environmental Protection, Division of Water and Waste Management and the West Virginia Department of Health and Human Resources, Bureau for Public Health","usgsCitation":"McAdoo, M.A., Connock, G.T., and Messinger, T., 2022, Occurrence of per- and polyfluoroalkyl substances and inorganic analytes in groundwater and surface water used as sources for public water supply in West Virginia: U.S. Geological Survey Scientific Investigations Report 2022–5067, 37 p., https://doi.org/10.3133/sir20225067.","productDescription":"Report: ix, 37 p.; Data 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Virginia\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center\">Virginia and West Virginia Water Science Center</a><br>U.S. Geological Survey<br>1730 East Parham Road<br>Richmond, VA 23228</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods of Study</li><li>Quality Assurance and Data Validation</li><li>Water Quality of West Virginia’s Public Source-Water Supplies</li><li>Relations between PFAS Concentrations and Source-Water Vulnerability</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Estimated results for PFAS detected between the reporting level and minimum detection level</li><li>Appendix 2. Detections for PFAS analytes over the reporting level organized by result with site information</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2022-07-20","noUsgsAuthors":false,"publicationDate":"2022-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"McAdoo, Mitchell A. 0000-0002-3895-0816 mmcadoo@usgs.gov","orcid":"https://orcid.org/0000-0002-3895-0816","contributorId":200287,"corporation":false,"usgs":true,"family":"McAdoo","given":"Mitchell","email":"mmcadoo@usgs.gov","middleInitial":"A.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":846911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connock, Gregory T. 0000-0002-7111-7551","orcid":"https://orcid.org/0000-0002-7111-7551","contributorId":293288,"corporation":false,"usgs":true,"family":"Connock","given":"Gregory","email":"","middleInitial":"T.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Messinger, Terence 0000-0003-4084-9298 tmessing@usgs.gov","orcid":"https://orcid.org/0000-0003-4084-9298","contributorId":2717,"corporation":false,"usgs":true,"family":"Messinger","given":"Terence","email":"tmessing@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70239310,"text":"70239310 - 2022 - Thermophysical and compositional properties of paleobedforms on Mars","interactions":[],"lastModifiedDate":"2023-01-09T13:00:41.226167","indexId":"70239310","displayToPublicDate":"2022-07-19T06:59:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7353,"text":"Journal of Geophysical Research - Planets","active":true,"publicationSubtype":{"id":10}},"title":"Thermophysical and compositional properties of paleobedforms on Mars","docAbstract":"<div class=\"article-section__content en main\"><p>Bedforms on Earth and Mars are often preserved in the rock record in the form of sedimentary rock with distinct cross-bedding. On rare occasions, the full-surface geometry of a bedform can be preserved through burial and lithification. These features, known as paleobedforms, are found in a variety of geographic locations on Mars. Evidence in the morphology of paleobedforms, such as the retention of impact craters and steep erosional scarps, suggests that these features are well-lithified and capable of withstanding prolonged weathering and erosion. Here, we present results from thermophysical and compositional analyses on a subset of the best preserved paleobedform candidate fields on Mars. Thermophysical modeling elucidates the changes these bedforms underwent from their unconsolidated, particulate nature to their currently observed properties. Certain paleobedforms have elevated thermal inertias (e.g., ∼300–500&nbsp;J·m<sup>−2</sup>·s<sup>−1/2</sup>·K<sup>−1</sup>) when compared with modern bedforms (∼250&nbsp;J·m<sup>−2</sup>·s<sup>−1/2</sup>·K<sup>−1</sup>), and modeling indicates that they have cement volumes of 0.8%–1.5% even as high as 30%. However, most paleobedform candidates have unexpectedly low thermal inertia when compared with modern dunes. Additionally, compositional analyses reveal a range of spectral characteristics within paleobedforms (e.g., primary and secondary alteration products). These features add to the already existing class of Martian surfaces in which thermal inertia does not seem to correspond to erodibility, cohesion, or mechanical strength. Studying paleobedforms with both raised and nonraised thermal inertia has provided new insights into lithification on Mars and constrained the environmental conditions leading to the formation of these enigmatic features.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JE007345","usgsCitation":"Weintraub, A.R., Edwards, C., Chojnacki, M., Edgar, L.A., Fenton, L.K., Piqueux, S., and Gullikson, A.L., 2022, Thermophysical and compositional properties of paleobedforms on Mars: Journal of Geophysical Research - Planets, v. 127, no. 8, e2022JE007345, 25 p., https://doi.org/10.1029/2022JE007345.","productDescription":"e2022JE007345, 25 p.","ipdsId":"IP-141025","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":411559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"127","issue":"8","noUsgsAuthors":false,"publicationDate":"2022-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Weintraub, Aaron R.","contributorId":300676,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron","email":"","middleInitial":"R.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":861103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":861104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":861105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":861106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":861107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":861108,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":861109,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255112,"text":"70255112 - 2022 - Large-scale distribution models for optimal prediction of Eastern black rail habitat within tidal ecosystems","interactions":[],"lastModifiedDate":"2024-06-12T16:31:54.652658","indexId":"70255112","displayToPublicDate":"2022-07-14T11:23:59","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale distribution models for optimal prediction of Eastern black rail habitat within tidal ecosystems","docAbstract":"<p><span>Eastern black rails (</span><i>Laterallus jamaicensis jamaicensis</i><span>) are among the rarest and least-studied birds in North America and were recently listed as threatened under the&nbsp;U.S.&nbsp;Endangered Species&nbsp;Act. Spatial models that predict habitat quality across the subspecies range are therefore needed to inform conservation, recovery, and monitoring efforts for this rare bird. We used data from 47,585 call-broadcast surveys collected at 7906 sites over a 3-decade period (1990s, 2000s, 2010s; 23 total years) to build&nbsp;species distribution models&nbsp;for eastern black rails. We used hierarchical Bayesian occupancy models and predictive model selection to develop multi-scale models that optimally predict habitat suitability for eastern black rails within tidal wetlands while also accounting for imperfect detection of these cryptic birds during field surveys. We also used raster regression techniques to translate model predictions into 30-m resolution maps of habitat suitability for eastern black rails within tidal wetlands along the eastern seaboard of the United States. The model predicted suitability of breeding habitat as a function of wetland attributes (e.g., cover of high marsh and terrestrial border), hydrologic modification, and disturbance from human development measured over multiple spatial scales. We also found differences in habitat relationships for eastern black rails when compared to models that included both North American subspecies of black rail. Important results included negative effects of shrub-scrub wetlands, and strong positive effects of high marsh, terrestrial border, and impoundments on&nbsp;breeding season&nbsp;occupancy. Our study provides an example of integrating detection-non-detection data and modern statistical methods to build predictive distribution models for an extremely&nbsp;rare species, while also providing rigorous predictions of breeding habitat quality for the eastern black rail within tidal wetlands. These models will facilitate optimal monitoring,&nbsp;habitat conservation, and recovery planning efforts for eastern black rails and provide a foundation for future research and conservation of this imperiled bird.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02222","usgsCitation":"Stevens, B., Conway, C.J., Luke, K., Weldon, A., Hand, C., Schwarzer, A., Smith, F., Watson, C., and Watts, B.D., 2022, Large-scale distribution models for optimal prediction of Eastern black rail habitat within tidal ecosystems: Global Ecology and Conservation, v. 38, e02222, 12 p., https://doi.org/10.1016/j.gecco.2022.e02222.","productDescription":"e02222, 12 p.","ipdsId":"IP-136723","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02222","text":"Publisher Index Page"},{"id":430022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Bryan S.","contributorId":275853,"corporation":false,"usgs":false,"family":"Stevens","given":"Bryan S.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":903426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luke, Kirsten","contributorId":338653,"corporation":false,"usgs":false,"family":"Luke","given":"Kirsten","affiliations":[{"id":81183,"text":"Atlantic Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":903428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weldon, Aimee","contributorId":338654,"corporation":false,"usgs":false,"family":"Weldon","given":"Aimee","email":"","affiliations":[{"id":81183,"text":"Atlantic Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":903429,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hand, Christy","contributorId":338655,"corporation":false,"usgs":false,"family":"Hand","given":"Christy","email":"","affiliations":[{"id":35670,"text":"South Carolina Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":903430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schwarzer, Amy","contributorId":338656,"corporation":false,"usgs":false,"family":"Schwarzer","given":"Amy","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":903431,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Fletcher","contributorId":338657,"corporation":false,"usgs":false,"family":"Smith","given":"Fletcher","email":"","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":903432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Watson, Craig","contributorId":338659,"corporation":false,"usgs":false,"family":"Watson","given":"Craig","email":"","affiliations":[{"id":81184,"text":"Atlanti Coast Joint Venture","active":true,"usgs":false}],"preferred":false,"id":903433,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Watts, Bryan D.","contributorId":338660,"corporation":false,"usgs":false,"family":"Watts","given":"Bryan","email":"","middleInitial":"D.","affiliations":[{"id":37406,"text":"College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":903434,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70232943,"text":"ofr20191023E - 2022 - Alaska focus area definition for data acquisition for potential domestic sources of critical minerals in Alaska for antimony, barite, beryllium, chromium, fluorspar, hafnium, magnesium, manganese, uranium, vanadium, and zirconium","interactions":[],"lastModifiedDate":"2026-03-25T16:59:26.525114","indexId":"ofr20191023E","displayToPublicDate":"2022-07-14T10:34:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1023","chapter":"E","displayTitle":"Alaska Focus Area Definition for Data Acquisition for Potential Domestic Sources of Critical Minerals in Alaska for Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Magnesium, Manganese, Uranium, Vanadium, and Zirconium","title":"Alaska focus area definition for data acquisition for potential domestic sources of critical minerals in Alaska for antimony, barite, beryllium, chromium, fluorspar, hafnium, magnesium, manganese, uranium, vanadium, and zirconium","docAbstract":"<p class=\"p1\">Phase 3 of the Earth Mapping Resources Initiative (Earth MRI) focuses on geologic belts that are favorable for hosting mineral systems that could contain the critical minerals antimony, barite, beryllium, chromium, fluorspar, hafnium, magnesium, manganese, uranium, vanadium, and zirconium. Prior phases of the Earth MRI program in Alaska focused only on rare earth elements, aluminum, cobalt, graphite, lithium, niobium, platinum-group metals, tantalum, tin, titanium, and tungsten. An additional 11 critical minerals planed for future phases of Earth MRI (As, Bi, Cs, Ga, Ge, In, Re, Rb, Sc, Sr, Te) are considered prospective in these focus areas. Together, Alaska focus areas address 22 of the 35 minerals or mineral material groups presently deemed critical. This report describes the methodology and techniques utilized to define focus areas for future data acquisition in Alaska; the conterminous United States are covered in a separate report.</p><p class=\"p1\">Focus areas are identified using a mineral systems framework, which accounts for all the possible tectonic and geologic settings where co-genetic mineral deposits may form. These deposits contain many commodities, including byproduct and critical minerals. Large system-scale processes may be evaluated using such a framework to determine the influence they play on critical mineral endowment within the deposits. Analyzing larger mineral systems provides an integrated and broad context to determine how and where critical minerals are sourced, transported, and deposited in geologic systems.</p><p class=\"p1\">Statewide geological, geochemical, geophysical, and mineral occurrence datasets informed the delineation of focus areas in Alaska. For some mineral systems, previously published data-driven prospectivity analyses for critical mineral-bearing deposit types provided the basis for focus areas. We report a total of 22 new focus areas that are prospective for phase 3 critical minerals. These new focus areas represent four different mineral systems that are known or suspected to occur in Alaska. An additional 55 focus areas that were previously identified for phase 1 and phase 2 commodities were also identified as being prospective for phase 3 critical minerals. Collectively, 102 focus areas in Alaska have known or suspected potential for hosting phase 1, phase 2, and (or) phase 3 critical minerals. These focus areas represent 17 different mineral systems also containing critical minerals that are planned for consideration in future Earth MRI phases. Thus, the focus areas delineated herein, and in previous reports for Alaska, are comprehensive for all critical minerals as presently defined and may be used to guide the collection of new geologic, geochemical, and geophysical data in the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023E","collaboration":"Prepared in cooperation with the Alaska Division of Geology & Geophysics","usgsCitation":"Kreiner, D.C., Jones, J.V., III, and Case, G. N., 2022, Alaska focus area definition for data acquisition for potential domestic sources of critical minerals in Alaska for antimony, barite, beryllium, chromium, fluorspar, hafnium, magnesium, manganese, uranium, vanadium, and zirconium, chap. E <em>of</em> U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 19 p., https://doi.org/10.3133/ofr20191023E.","productDescription":"Report: vii, 19 p.; Data Release","numberOfPages":"19","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130817","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":403662,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2019/1023/e/ofr20191023e.XML"},{"id":403658,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1023/e/coverthb.jpg"},{"id":403659,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1023/e/ofr20191023e.pdf","text":"Report","size":"14.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1023E"},{"id":403661,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2019/1023/e/images"},{"id":403660,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20191023E/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2019-1023E"},{"id":403738,"rank":10,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023D","text":"Open-File Report 2019-1023-D","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 13 Critical Minerals in the Conterminous United States and Puerto Rico—Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Helium, Magnesium, Manganese, Potash, Uranium, Vanadium, and Zirconium"},{"id":403737,"rank":9,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023C","text":"Open-File Report 2019-1023-C","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in Alaska—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"},{"id":501525,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113261.htm","linkFileType":{"id":5,"text":"html"}},{"id":403736,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023B","text":"Open-File Report 2019-1023-B","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in the Conterminous United States, Hawaii, and Puerto Rico—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum-Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"},{"id":403735,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023A","text":"Open-File Report 2019-1023-A","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Sources of Critical Minerals—Rare Earth Elements"},{"id":403663,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WA7JZY","text":"USGS data release","description":"USGS data release","linkHelpText":"GIS, supplemental data table, and references for focus areas of potential domestic resources of 13 critical minerals in the United States and Puerto Rico—Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium"}],"country":"United 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Preface</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Mineral Systems Approach</li><li>Data Sources</li><li>Delineation of Focus Areas</li><li>Mineral Systems</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":846550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":846551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Case, George N. 0000-0001-9826-5661 gcase@usgs.gov","orcid":"https://orcid.org/0000-0001-9826-5661","contributorId":293159,"corporation":false,"usgs":false,"family":"Case","given":"George N.","email":"gcase@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":846552,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232270,"text":"ofr20191023D - 2022 - Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico — Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium","interactions":[],"lastModifiedDate":"2026-03-25T16:57:34.886331","indexId":"ofr20191023D","displayToPublicDate":"2022-07-14T10:33:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1023","chapter":"D","displayTitle":"Focus Areas for Data Acquisition for Potential Domestic Resources of 13 Critical Minerals in the Conterminous United States and Puerto Rico—Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Helium, Magnesium, Manganese, Potash, Uranium, Vanadium, and Zirconium","title":"Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico — Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium","docAbstract":"<p>The Earth Mapping Resources Initiative (Earth MRI) is conducted in phases to identify areas for acquiring new geologic framework data to identify potential domestic resources of the 35 mineral materials designated as critical minerals for the United States. This report describes the data sources and summary results for 13 critical minerals evaluated in the conterminous United States and Puerto Rico during phase 3 of the study (antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium). Phases 1 and 2 of the Earth MRI addressed aluminum, cobalt, graphite, lithium, niobium, platinum-group elements (PGEs), rare earth elements (REEs), tantalum, tin, titanium, and tungsten. Critical minerals in Alaska are covered in a separate report. No focus areas for phase 3 critical minerals are delineated for Hawaii.</p><p>The geologic, geochemical, topographic, and geophysical mapping provided by the Earth MRI documents geologic features that reflect the extent of individual mineral systems and provides information about critical mineral deposits that may not have been previously considered. The mineral-systems approach links critical mineral commodities to deposit types that represent the manifestations of large mineral systems.</p><p>Each of the 13 critical mineral commodities for phase 3 of the Earth MRI is discussed in terms of its importance to the Nation’s economy, modes of occurrence, mineral systems, and deposit types, and is accompanied by maps and tables listing examples of focus areas in the conterminous United States and Puerto Rico. Examples of important mineral systems for this group of 13 critical minerals include basin brine path systems for barite and fluorspar, Carlin-type systems and Coeur d’Alene systems for antimony, chemical weathering and volcanogenic seafloor systems for manganese, Climax-type systems for beryllium, mafic magmatic systems for chromium, marine evaporite systems for potash and magnesium, meteoric recharge systems for uranium, petroleum systems for helium, and placer systems for zirconium and hafnium.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023D","collaboration":"Prepared in cooperation with the Association of American State Geologists","usgsCitation":"Hammarstrom, J.M., Dicken, C.L., Woodruff, L.G., Andersen, A.K., Brennan, S., Day, W.C., Drenth, B.J., Foley, N.K., Hall, S., Hofstra, A.H., McCafferty, A.E., Shah, A.K., and Ponce, D.A., 2022, Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico—Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium, chap. D <em>of</em> U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 65 p., https://doi.org/10.3133/ofr20191023D.","productDescription":"Report: xv, 66 p.; Data Release","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-130167","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":435771,"rank":13,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DIZ9N8","text":"USGS data release","linkHelpText":"GIS, supplemental data table, and references for focus areas of potential domestic resources of critical minerals and related commodities in the United States and Puerto Rico (ver. 2.0, April 2024)"},{"id":435770,"rank":14,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CHIL0","text":"USGS data release","linkHelpText":"GIS and Data Tables for Focus 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Tungsten"},{"id":402397,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023C","text":"Open-File Report 2019-1023-C","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in Alaska—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"},{"id":402684,"rank":10,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P95CHIL0","text":"USGS data release","linkHelpText":"- GIS and data tables for focus areas for potential domestic nonfuel sources of rare earth elements"},{"id":402685,"rank":11,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.5066/P9U6SODG","text":"USGS data release","linkHelpText":"- GIS for focus areas of potential domestic resources of 11 critical minerals—aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten 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\"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.56640625,\n              18.771115062337024\n            ],\n            [\n              -154.68749999999997,\n              19.642587534013032\n            ],\n            [\n              -156.9287109375,\n              21.453068633086783\n            ],\n            [\n              -159.521484375,\n              22.43134015636061\n            ],\n            [\n              -160.5322265625,\n              21.983801417384697\n            ],\n            [\n              -159.9609375,\n              21.207458730482642\n            ],\n            [\n              -158.291015625,\n              20.92039691397189\n            ],\n            [\n              -156.97265625,\n              19.932041306115536\n            ],\n            [\n              -155.9619140625,\n              18.8543103618898\n            ],\n            [\n              -155.56640625,\n              18.771115062337024\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.060546875,\n              18.020527657852337\n            ],\n            [\n              -66.2255859375,\n              17.916022703877665\n            ],\n            [\n              -65.6103515625,\n              17.97873309555617\n            ],\n            [\n              -65.2587890625,\n              18.124970639386515\n            ],\n            [\n              -65.5224609375,\n              18.458768120015126\n            ],\n            [\n              -66.11572265625,\n              18.542116654448996\n            ],\n            [\n              -66.95068359374999,\n              18.60460138845525\n            ],\n            [\n              -67.34619140625,\n              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Associated Mineral Systems</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Mineral Systems Framework</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2022-07-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":844934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":844937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brennan, Sean T. 0000-0002-7102-9359","orcid":"https://orcid.org/0000-0002-7102-9359","contributorId":204982,"corporation":false,"usgs":true,"family":"Brennan","given":"Sean T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":844939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":844940,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844941,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":844942,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":844943,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":844944,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":844945,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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,{"id":70232886,"text":"70232886 - 2022 - Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins","interactions":[],"lastModifiedDate":"2022-07-13T12:30:07.417613","indexId":"70232886","displayToPublicDate":"2022-07-11T07:21:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Understanding effects of human water use and subsequent return flows on the availability and suitability of water for downstream uses is critical to efficient and effective watershed management. We compared spatially detailed estimates of stream chemistry within three watersheds in diverse settings to available standards to isolate effects of wastewater and irrigation return flows on the suitability of downstream waters for maintaining healthy aquatic ecosystems and for selected human uses. Mean-annual flow-weighted total and source-specific concentrations of nitrogen and phosphorus in individual stream reaches within the Upper Colorado, Delaware, and Illinois River Basins and of total dissolved solids within stream reaches of the Upper Colorado River Basin were estimated from previously calibrated regional watershed models. Estimated concentrations of both nitrogen and phosphorus in most stream reaches in all three watersheds (at least 78%, by length) exceed recommended standards for the protection of aquatic ecosystems, although concentrations in relatively few streams exceed such standards due to contributions from wastewater return flows, alone. Consequently, efforts to reduce wastewater nutrient effluent may provide important local downstream benefits but would likely have minimal impact on regional ecological conditions. Similarly, estimated mean-annual flow-weighted total dissolved solids concentrations in the Upper Colorado River Basin exceed standards for agricultural water use and (or) the secondary maximum contaminant level (SMCL) for drinking water in 52% of streams (by length), but rarely due to effects of irrigation return flows, alone. Dissolved solids in most tributaries of the Upper Colorado River are attributable primarily to natural sources.</p></div></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pwat.0000030","usgsCitation":"Ator, S., Miller, O.L., and Saad, D., 2022, Effects of return flows on stream water quality and availability in the Upper Colorado, Delaware, and Illinois River Basins: PLOS Water, v. 7, no. 1, 24 p., https://doi.org/10.1371/journal.pwat.0000030.","productDescription":"24 p.","additionalOnlineFiles":"N","ipdsId":"IP-136080","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":447159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000030","text":"Publisher Index Page"},{"id":403592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Upper Colorado, Delaware, and Illinois River Basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.9619140625,\n              41.11246878918088\n            ],\n            [\n              -112.6318359375,\n              39.30029918615029\n            ],\n            [\n              -112.67578124999999,\n              37.996162679728116\n            ],\n            [\n              -112.3681640625,\n              36.63316209558658\n            ],\n            [\n              -111.884765625,\n              35.60371874069731\n            ],\n            [\n              -110.390625,\n              34.63320791137959\n            ],\n            [\n              -108.984375,\n              34.52466147177172\n            ],\n            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0000-0001-6559-6181","orcid":"https://orcid.org/0000-0001-6559-6181","contributorId":217251,"corporation":false,"usgs":true,"family":"Saad","given":"David A.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":846422,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70233939,"text":"70233939 - 2022 - Classifying mixing regimes in ponds and shallow lakes","interactions":[],"lastModifiedDate":"2022-07-28T12:12:45.591811","indexId":"70233939","displayToPublicDate":"2022-07-11T07:08:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11438,"text":"Water Resource Research","active":true,"publicationSubtype":{"id":10}},"title":"Classifying mixing regimes in ponds and shallow lakes","docAbstract":"<div class=\"article-section__content en main\"><p>Lakes are classified by thermal mixing regimes, with shallow waterbodies historically categorized as continuously mixing systems. Yet, recent studies demonstrate extended summertime stratification in ponds, underscoring the need to reassess thermal classifications for shallow waterbodies. In this study, we examined the summertime thermal dynamics of 34 ponds and shallow lakes across temperate North America and Europe to categorize and identify the drivers of different mixing regimes. We identified three mixing regimes: rarely (<i>n</i>&nbsp;=&nbsp;18), intermittently (<i>n</i>&nbsp;=&nbsp;10), and often (<i>n</i>&nbsp;=&nbsp;6) mixed, where waterbodies mixed an average of 2%, 26%, and 75% of the study period, respectively. Waterbodies in the often mixed category were larger (≥4.17&nbsp;ha) and stratification weakened with increased wind shear stress, characteristic of “shallow lakes.” In contrast, smaller waterbodies, or “ponds,” mixed less frequently, and stratification strengthened with increased shortwave radiation. Shallow ponds (&lt;0.74&nbsp;m) mixed intermittently, with daytime stratification often breaking down overnight due to convective cooling. Ponds ≥0.74&nbsp;m deep were rarely or never mixed, likely due to limited wind energy relative to the larger density gradients associated with slightly deeper water columns. Precipitation events weakened stratification, even causing short-term mixing (hours to days) in some sites. By examining a broad set of shallow waterbodies, we show that mixing regimes are highly sensitive to very small differences in size and depth, with potential implications for ecological and biogeochemical processes. Ultimately, we propose a new framework to characterize the variable mixing regimes of ponds and shallow lakes.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR032522","usgsCitation":"Holgerson, M., Richardson, D., Roith, J., Bortolotti, L.E., Finlay, K., Hornbach, D.J., Gurung, K., Ness, A., Andersen, M., Bansal, S., Finlay, J., Cianci-Gaskill, J., Hahn, S., Janke, B., McDonald, C.P., Mesman, J., North, R.L., Roberts, C., Sweetman, J.N., and Webb, J., 2022, Classifying mixing regimes in ponds and shallow lakes: Water Resource Research, v. 58, no. 7, e2022WR032522, 18 p., https://doi.org/10.1029/2022WR032522.","productDescription":"e2022WR032522, 18 p.","ipdsId":"IP-129528","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":447169,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr032522","text":"Publisher Index Page"},{"id":404529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Holgerson, Meredith","contributorId":218790,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":847713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":847714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roith, Joseph","contributorId":293919,"corporation":false,"usgs":false,"family":"Roith","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":847750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":847715,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finlay, Kerri","contributorId":289777,"corporation":false,"usgs":false,"family":"Finlay","given":"Kerri","email":"","affiliations":[{"id":27547,"text":"University of Regina","active":true,"usgs":false}],"preferred":false,"id":847716,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hornbach, Daniel J.","contributorId":220617,"corporation":false,"usgs":false,"family":"Hornbach","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":37385,"text":"Macalester College","active":true,"usgs":false}],"preferred":false,"id":847717,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gurung, Kshitij","contributorId":293889,"corporation":false,"usgs":false,"family":"Gurung","given":"Kshitij","email":"","affiliations":[],"preferred":false,"id":847718,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ness, Andrew","contributorId":293890,"corporation":false,"usgs":false,"family":"Ness","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":847719,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Andersen, Mikkel R.","contributorId":223161,"corporation":false,"usgs":false,"family":"Andersen","given":"Mikkel R.","affiliations":[],"preferred":false,"id":847720,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":847721,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Finlay, Jacques","contributorId":172286,"corporation":false,"usgs":false,"family":"Finlay","given":"Jacques","affiliations":[],"preferred":false,"id":847722,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cianci-Gaskill, Jacob","contributorId":293893,"corporation":false,"usgs":false,"family":"Cianci-Gaskill","given":"Jacob","email":"","affiliations":[],"preferred":false,"id":847723,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hahn, Shannon","contributorId":293894,"corporation":false,"usgs":false,"family":"Hahn","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":847724,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Janke, Benjamin","contributorId":293895,"corporation":false,"usgs":false,"family":"Janke","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":847725,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"McDonald, Cory P. 0000-0002-1208-8471","orcid":"https://orcid.org/0000-0002-1208-8471","contributorId":261754,"corporation":false,"usgs":false,"family":"McDonald","given":"Cory","email":"","middleInitial":"P.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":847726,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mesman, Jorrit 0000-0002-4319-260X","orcid":"https://orcid.org/0000-0002-4319-260X","contributorId":268212,"corporation":false,"usgs":false,"family":"Mesman","given":"Jorrit","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":847727,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"North, Rebecca L.","contributorId":194572,"corporation":false,"usgs":false,"family":"North","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":847728,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Roberts, Cassandra","contributorId":293901,"corporation":false,"usgs":false,"family":"Roberts","given":"Cassandra","email":"","affiliations":[],"preferred":false,"id":847729,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Sweetman, Jon N. 0000-0002-9849-7355","orcid":"https://orcid.org/0000-0002-9849-7355","contributorId":221489,"corporation":false,"usgs":false,"family":"Sweetman","given":"Jon","email":"","middleInitial":"N.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":847730,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Webb, Jackie","contributorId":293904,"corporation":false,"usgs":false,"family":"Webb","given":"Jackie","email":"","affiliations":[],"preferred":false,"id":847731,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70237617,"text":"70237617 - 2022 - Antibiotic resistance in free-ranging wildlife","interactions":[],"lastModifiedDate":"2022-11-29T17:43:08.542544","indexId":"70237617","displayToPublicDate":"2022-07-08T10:36:20","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Antibiotic resistance in free-ranging wildlife","docAbstract":"In this chapter, we provide an overview of antimicrobial resistant (AMR) bacteria in wildlife through the presentation of general trends of occurrence among both captive and free-ranging wild animal populations, discussion of importance to human health and wildlife conservation, and identification of priority areas for future research and monitoring efforts.  Once most commonly identified in humans and domestic animals, AMR bacteria have now been reported to be widespread among free-ranging and captive wildlife and the broader environment.  Antimicrobial resistance has been identified in wildlife inhabiting nearly every country, region, and habitat type from which samples have been obtained, although occurrence may be more common in animals that occupy anthropogenically impacted environments.  Though AMR bacteria identified in free-ranging wildlife have generally not been associated with direct health impacts to the host, specific bacteria and types of resistance found in wildlife may be clinically relevant to humans.  Furthermore, AMR bacteria harbored by captive or free-ranging animals may complicate veterinary treatment of captive, rare, or vulnerable wildlife provided care.  Future investigations may obtain important information on the acquisition and dissemination of AMR bacteria by wildlife through the comparison of resistance harbored by bacteria from wildlife and the environments they occupy.  The identification of specific environmental pathways through which resistance may be acquired would help to guide the development of intervention strategies to interrupt further spread of antimicrobial resistance to, from, and among wildlife.  Implications of such strategies may also extend more broadly to promote domestic animal, human, and environmental health.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fowler’s zoo and wild animal medicine: Current therapy, Vol 10","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","usgsCitation":"Ramey, A.M., and Ahlstrom, C., 2022, Antibiotic resistance in free-ranging wildlife, chap. 19 <i>of</i> Fowler’s zoo and wild animal medicine: Current therapy, Vol 10, p. 121-124.","productDescription":"4 p.","startPage":"121","endPage":"124","ipdsId":"IP-123423","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":409801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":854664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahlstrom, Christina 0000-0001-5414-8076","orcid":"https://orcid.org/0000-0001-5414-8076","contributorId":214540,"corporation":false,"usgs":true,"family":"Ahlstrom","given":"Christina","email":"","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":854665,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70241515,"text":"70241515 - 2022 - Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data","interactions":[],"lastModifiedDate":"2023-03-22T12:15:44.376645","indexId":"70241515","displayToPublicDate":"2022-07-05T07:09:52","publicationYear":"2022","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":"Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Few studies have evaluated the optimal sampling design for tracking small mammal population trends, especially for rare or difficult to detect species. Spatially explicit capture-recapture (SECR) models present an advancement over non-spatial models by accounting for individual movement when estimating density. The salt marsh harvest mouse (SMHM;<span>&nbsp;</span><i>Reithrodontomys raviventris</i>) is a federal and California state listed endangered species endemic to the San Francisco Bay-Delta estuary, California, USA; where a population in a subembayment has been continually monitored over an 18-year period using mark-recapture methods. We analyzed capture data within a SECR modeling framework that allowed us to account for differences in detection and movement between sexes. We compared the full dataset to subsampling scenarios to evaluate how the grid size (area) of the trap design, trap density (spacing), and number of consecutive trapping occasions (duration) influenced density estimates. To validate the subsampling methods, we ran Monte Carlo simulations based on the true parameter estimates for each specific year. We found that reducing the area of the trapping design by more than 36% resulted in the inability of the SECR model to replicate density estimates within the SE of the original density estimates. However, when trapping occasions were reduced from 4 to 3-nights the density estimates were indistinguishable from the full dataset. Furthermore, reducing trap density by 50% also resulted in density estimates comparable to the full dataset and was a substantially better model than reducing the trap area by 50%. Overall, our results indicated that moderate reductions in the number of trapping occasions or trap density could yield similar density estimates when using a SECR approach. This approach allows the optimization of field trapping efforts and designs by reducing field efforts while maintaining the same population estimate compared to the full dataset. Using a SECR approach may help other wildlife programs identify sampling efficiencies without sacrificing data integrity for long term monitoring of population densities.</p></div></div>","language":"English","publisher":"PLoS One","doi":"10.1371/journal.pone.0270082","usgsCitation":"Freeman, C.M., Barthman-Thompson, L., Klinger, R.C., Woo, I., and Thorne, K., 2022, Assessing small-mammal trapping design using spatially explicit capture recapture (SECR) modeling on long-term monitoring data: PLoS ONE, v. 17, no. 7, e0270082, 20 p., https://doi.org/10.1371/journal.pone.0270082.","productDescription":"e0270082, 20 p.","ipdsId":"IP-133036","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447214,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0270082","text":"Publisher Index Page"},{"id":414541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.19812705939624,\n              38.288278395614725\n            ],\n            [\n              -122.19812705939624,\n              37.98164182603786\n            ],\n            [\n              -121.7972985032576,\n              37.98164182603786\n            ],\n            [\n              -121.7972985032576,\n              38.288278395614725\n            ],\n            [\n              -122.19812705939624,\n              38.288278395614725\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2022-07-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Freeman, Chase M. 0000-0003-4211-6709 cfreeman@usgs.gov","orcid":"https://orcid.org/0000-0003-4211-6709","contributorId":150052,"corporation":false,"usgs":true,"family":"Freeman","given":"Chase","email":"cfreeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barthman-Thompson, Laureen","contributorId":207842,"corporation":false,"usgs":false,"family":"Barthman-Thompson","given":"Laureen","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":867075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klinger, Robert C. 0000-0003-3193-3199 rcklinger@usgs.gov","orcid":"https://orcid.org/0000-0003-3193-3199","contributorId":5395,"corporation":false,"usgs":true,"family":"Klinger","given":"Robert","email":"rcklinger@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":867076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Karen M. 0000-0002-1381-0657","orcid":"https://orcid.org/0000-0002-1381-0657","contributorId":204579,"corporation":false,"usgs":true,"family":"Thorne","given":"Karen M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867078,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70233610,"text":"70233610 - 2022 - Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis)","interactions":[],"lastModifiedDate":"2022-07-27T12:21:07.026731","indexId":"70233610","displayToPublicDate":"2022-07-03T07:19:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis)","docAbstract":"<p class=\"chapter-para\">Increasing risk of pathogen spillover coupled with overall declines in wildlife population abundance in the Anthropocene make infectious disease a relevant concern for species conservation worldwide. While emerging molecular tools could improve our diagnostic capabilities and give insight into mechanisms underlying wildlife disease risk, they have rarely been applied in practice. Here, employing a previously reported gene transcription panel of common immune markers to track physiological changes, we present a detailed analysis over the course of both acute and chronic infection in one wildlife species where disease plays a critical role in conservation, bighorn sheep (<i>Ovis canadensis</i>). Differential gene transcription patterns distinguished between infection statuses over the course of acute infection and differential correlation (DC) analyses identified clear changes in gene co-transcription patterns over the early stages of infection, with transcription of four genes—TGFb, AHR, IL1b and MX1—continuing to increase even as transcription of other immune-associated genes waned. In a separate analysis, we considered the capacity of the same gene transcription panel to aid in differentiating between chronically infected animals and animals in other disease states outside of acute disease events (an immediate priority for wildlife management in this system). We found that this transcription panel was capable of accurately identifying chronically infected animals in the test dataset, though additional data will be required to determine how far this ability extends. Taken together, our results showcase the successful proof of concept and breadth of potential utilities that gene transcription might provide to wildlife disease management, from direct insight into mechanisms associated with differential disease response to improved diagnostic capacity in the field.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coac046","usgsCitation":"Bowen, L., Manlove, K.R., Roug, A., Waters-Dynes, S.C., LaHue, N., and Wolff, P., 2022, Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis): Conservation Physiology, v. 10, no. 1, 16 p., https://doi.org/10.1093/conphys/coac046.","productDescription":"16 p.","ipdsId":"IP-137827","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coac046","text":"Publisher Index Page"},{"id":404486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":847550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roug, Annette","contributorId":181940,"corporation":false,"usgs":false,"family":"Roug","given":"Annette","email":"","affiliations":[],"preferred":false,"id":847551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaHue, Nate","contributorId":293650,"corporation":false,"usgs":false,"family":"LaHue","given":"Nate","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolff, Peregrine","contributorId":238063,"corporation":false,"usgs":false,"family":"Wolff","given":"Peregrine","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847554,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238966,"text":"70238966 - 2022 - The importance of phenology and thermal exposure to early life history success of nonnative Smallmouth Bass in the Yellowstone River","interactions":[],"lastModifiedDate":"2022-12-19T15:04:42.505069","indexId":"70238966","displayToPublicDate":"2022-07-01T08:55:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"The importance of phenology and thermal exposure to early life history success of nonnative Smallmouth Bass in the Yellowstone River","docAbstract":"<p><span>Knowledge of potential spread by introduced species is critical to effective management and conservation. The Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span>&nbsp;is an example of a fish that has been introduced globally, often spreads after introduction, and has substantial predatory impacts on fish assemblages. Nonnative Smallmouth Bass in the free-flowing Yellowstone River, Montana, have expanded from warmer, downstream sections of river into colder, upstream sections containing socio-economically valuable trout fisheries. We sought insight into mechanisms controlling upstream spread by evaluating whether progressively colder upstream climates physiologically constrained successful recruitment by limiting age-0 growth and preventing overwinter survival (i.e., population establishment). We documented the phenology, growth, and overwinter survival of age-0 Smallmouth Bass across a temperature gradient leading to their upstream extent in the Yellowstone River. The upstream extent of population establishment did not appear limited by water temperature alone. Age-0 body size at the onset of winter did not differ significantly between colder, upstream reaches and warmer, downstream reaches. Instead, the earlier hatch timing exhibited by some age-0 individuals in upstream sections allowed them to experience longer growing seasons than many individuals in downstream sections. This counter-intuitive hatching phenology mediated much of the expected decreases in growth in colder, upstream climates. Furthermore, evidence of successful overwinter survival and simulations of age-0 starvation mortality indicated that age-0 individuals at the upstream extent of their distribution successfully recruited to the age-1 year-class during four consecutive years. However, age-0 individuals were rare or absent throughout the uppermost upstream distribution of adults, suggesting that something other than temperature limits or discourages reproduction farther upstream. Taken together, our results suggest that Smallmouth Bass have not yet reached the thermal limit of their upstream distribution in the Yellowstone River and that future spread may challenge fisheries managers tasked with management of coldwater trout fisheries in this river.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10364","usgsCitation":"Voss, N.S., Al-Chokhachy, R.K., Sepulveda, A., Verhille, C.E., Ruggles, M.P., and Zale, A.V., 2022, The importance of phenology and thermal exposure to early life history success of nonnative Smallmouth Bass in the Yellowstone River: Transactions of the American Fisheries Society, v. 151, no. 5, p. 527-542, https://doi.org/10.1002/tafs.10364.","productDescription":"16 p.","startPage":"527","endPage":"542","ipdsId":"IP-127000","costCenters":[{"id":398,"text":"Montana Cooperative Fishery Research Unit","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":447256,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10364","text":"Publisher Index Page"},{"id":435788,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KXZ295","text":"USGS data release","linkHelpText":"Juvenile Smallmouth Bass Sampling from the Yellowstone River, Montana 2016-2019"},{"id":410709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.33112682108907,\n              44.635286071837356\n            ],\n            [\n              -107.16730846171409,\n              44.635286071837356\n            ],\n            [\n              -107.16730846171409,\n              46.37521312420196\n            ],\n            [\n              -111.33112682108907,\n              46.37521312420196\n            ],\n            [\n              -111.33112682108907,\n              44.635286071837356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"151","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-07-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":300117,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":859441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":300118,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":859442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":859443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verhille, Christine E.","contributorId":174642,"corporation":false,"usgs":false,"family":"Verhille","given":"Christine","email":"","middleInitial":"E.","affiliations":[{"id":13461,"text":"U.C. 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,{"id":70245771,"text":"70245771 - 2022 - Potential for critical mineral deposits in Maine, USA","interactions":[],"lastModifiedDate":"2023-06-27T12:14:56.656893","indexId":"70245771","displayToPublicDate":"2022-06-28T07:11:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15677,"text":"Atlantic Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Potential for critical mineral deposits in Maine, USA","docAbstract":"<p>An analysis of the potential for deposits of critical minerals and elements in Maine presented here includes data and discussions for antimony, beryllium, cesium, chromium, cobalt, graphite, lithium, manganese, niobium, platinum group elements, rhenium, rare earth elements, tin, tantalum, tellurium, titanium, uranium, vanadium, tungsten, and zirconium. Deposits are divided into two groups based on geological settings and common ore-deposit terminology. One group consists of known deposits (sediment-hosted manganese, volcanogenic massive sulphide, porphyry copper-molybdenum, mafic- and ultramafic-hosted nickel-copper [-cobalt-platinum group elements], pegmatitic lithium-cesium-tantalum) that are in most cases relatively large, well-documented, and have been explored extensively in the past. The second, and much larger group of different minerals and elements, comprises small deposits, prospects, and occurrences that are minimally explored or unexplored. The qualitative assessment used in this study relies on three key criteria: (1) the presence of known deposits, prospects, or mineral occurrences; (2) favourable geologic settings for having certain deposit types based on current ore deposit models; and (3) geochemical anomalies in rocks or stream sediments, including panned concentrates. Among 20 different deposit types considered herein, a high resource potential is assigned only to three: (1) sediment-hosted manganese, (2) mafic- and ultramafic-hosted nickel-copper(-cobalt-platinum group elements), and (3) pegmatitic lithium-cesium-tantalum. Moderate potential is assigned to 11 other deposit types, including: (1) porphyry copper-molybdenum (-rhenium, selenium, tellurium, bismuth, platinum group elements); (2) chromium in ophiolites; (3) platinum group elements in ophiolitic ultramafic rocks; (4) granite-hosted uranium-thorium; (5) tin in granitic plutons and veins; (6) niobium, tantalum, and rare earth elements in alkaline intrusions; (7) tungsten and bismuth in polymetallic veins; (8) vanadium in black shales; (9) antimony in orogenic veins and replacements; (10) tellurium in epithermal deposits; and (11) uranium in peat.</p>","language":"English","publisher":"Atlantic Geology","doi":"10.4138/atlgeo.2022.007","usgsCitation":"Slack, J.F., Beck, F., Bradley, D., Felch, M.M., Marvinney, R.G., and Whittaker, A., 2022, Potential for critical mineral deposits in Maine, USA: Atlantic Geoscience, v. 58, p. 155-191, https://doi.org/10.4138/atlgeo.2022.007.","productDescription":"37 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 \"}}]}","volume":"58","noUsgsAuthors":false,"publicationDate":"2022-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":876278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, F.M.","contributorId":313567,"corporation":false,"usgs":false,"family":"Beck","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":876279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, D.C.","contributorId":313568,"corporation":false,"usgs":false,"family":"Bradley","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":876280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felch, M. M.","contributorId":313569,"corporation":false,"usgs":false,"family":"Felch","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":876281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":876282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, A.T.H.","contributorId":313570,"corporation":false,"usgs":false,"family":"Whittaker","given":"A.T.H.","email":"","affiliations":[],"preferred":false,"id":876283,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255205,"text":"70255205 - 2022 - Hybridization decreases native cutthroat trout reproductive fitness","interactions":[],"lastModifiedDate":"2024-06-13T15:00:22.858853","indexId":"70255205","displayToPublicDate":"2022-06-25T09:56:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization decreases native cutthroat trout reproductive fitness","docAbstract":"<p><span>Examining natural selection in wild populations is challenging, but crucial to understanding many ecological and evolutionary processes. Additionally, in hybridizing populations, natural selection may be an important determinant of the eventual outcome of hybridization. We characterized several components of relative fitness in hybridizing populations of Yellowstone cutthroat trout and rainbow trout in an effort to better understand the prolonged persistence of both parental species despite predictions of extirpation. Thousands of genomic loci enabled precise quantification of hybrid status in adult and subsequent juvenile generations; a subset of those data also identified parent–offspring relationships. We used linear models and simulations to assess the effects of ancestry on reproductive output and mate choice decisions. We found a relatively low number of late-stage (F3+) hybrids and an excess of F2 juveniles relative to the adult generation in one location, which suggests the presence of hybrid breakdown decreasing the fitness of F2+ hybrids later in life. Assessments of reproductive output showed that Yellowstone cutthroat trout are more likely to successfully reproduce and produce slightly more offspring than their rainbow trout and hybrid counterparts. Mate choice appeared to be largely random, though we did find statistical support for slight female preference for males of similar ancestry. Together, these results show that native Yellowstone cutthroat trout are able to outperform rainbow trout in terms of reproduction and suggest that management action to exclude rainbow trout from spawning locations may bolster the now-rare Yellowstone cutthroat trout.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/mec.16578","collaboration":"Wyoming Game and Fish Department","usgsCitation":"Rosenthal, W.C., Fennell, J.M., Mandeville, E., Burckhardt, J., Walters, A.W., and Wagner, C., 2022, Hybridization decreases native cutthroat trout reproductive fitness: Molecular Ecology, v. 31, no. 16, p. 4224-4241, https://doi.org/10.1111/mec.16578.","productDescription":"18 p.","startPage":"4224","endPage":"4241","ipdsId":"IP-134904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenthal, William C.","contributorId":337368,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":903732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":338996,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Catherine E.","contributorId":337377,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70232284,"text":"70232284 - 2022 - Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","interactions":[],"lastModifiedDate":"2022-08-15T13:56:59.786235","indexId":"70232284","displayToPublicDate":"2022-06-24T10:54:54","publicationYear":"2022","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":"Speciation with gene flow in a narrow endemic West Virginia cave salamander <i>(Gyrinophilus subterraneus)</i>","title":"Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","docAbstract":"<p>Due to their limited geographic distributions and specialized ecologies, cave species are often highly endemic and can be especially vulnerable to habitat degradation within and surrounding the cave systems they inhabit. We investigated the evolutionary history of the West Virginia Spring Salamander (<i>Gyrinophilus subterraneus)</i>, estimated the population trend from historic and current survey data, and assessed the current potential for water quality threats to the cave habitat. Our genomic data (mtDNA sequence and ddRADseq-derived SNPs) reveal two, distinct evolutionary lineages within General Davis Cave corresponding to<span>&nbsp;</span><i>G. subterraneus</i><span>&nbsp;</span>and its widely distributed sister species,<span>&nbsp;</span><i>Gyrinophilus porphyriticus</i>, that are also differentiable based on morphological traits. Genomic models of evolutionary history strongly support asymmetric and continuous gene flow between the two lineages, and hybrid classification analyses identify only parental and first generation cross (F1) progeny. Collectively, these results point to a rare case of sympatric speciation occurring within the cave, leading to strong support for continuing to recognize<span>&nbsp;</span><i>G. subterraneus</i><span>&nbsp;</span>as a distinct and unique species. Due to its specialized habitat requirements, the complete distribution of<span>&nbsp;</span><i>G. subterraneus</i><span>&nbsp;</span>is unresolved, but using survey data in its type locality (and currently the only known occupied site), we find that the population within General Davis Cave has possibly declined over the last 45&nbsp;years. Finally, our measures of cave and surface stream water quality did not reveal evidence of water quality impairment and provide important baselines for future monitoring. In addition, our unexpected finding of a hybrid zone and partial reproductive isolation between<span>&nbsp;</span><i>G. subterraneus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>G. porphyriticus</i><span>&nbsp;</span>warrants further attention to better understand the evolutionary and conservation implications of occasional hybridization between the species.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-022-01445-7","usgsCitation":"Campbell Grant, E.H., Mulder, K.P., Brand, A.B., Chambers, D.B., Wynn, A.H., Capshaw, G., Niemiller, M.L., Phillips, J.G., Jacobs, J.F., Kuchta, S.R., and Bell, R., 2022, Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus): Conservation Genetics, v. 23, p. 727-744, https://doi.org/10.1007/s10592-022-01445-7.","productDescription":"18 p.","startPage":"727","endPage":"744","ipdsId":"IP-131641","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435797,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KO62A3","text":"USGS data release","linkHelpText":"Field data to support speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)"},{"id":402476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Greenbrier","otherGeospatial":"General Davis Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.67157745361328,\n              37.70962774559374\n            ],\n            [\n              -80.46730041503906,\n              37.70962774559374\n            ],\n            [\n              -80.46730041503906,\n              37.774785412131244\n            ],\n            [\n              -80.67157745361328,\n              37.774785412131244\n            ],\n            [\n              -80.67157745361328,\n              37.70962774559374\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2022-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulder, Kevin P.","contributorId":194918,"corporation":false,"usgs":false,"family":"Mulder","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":845013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":292547,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas","email":"dbchambe@usgs.gov","middleInitial":"B.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynn, Addison H.","contributorId":50648,"corporation":false,"usgs":true,"family":"Wynn","given":"Addison","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":845017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capshaw, Grace","contributorId":292549,"corporation":false,"usgs":false,"family":"Capshaw","given":"Grace","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":845018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":845019,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, John G.","contributorId":292550,"corporation":false,"usgs":false,"family":"Phillips","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":845020,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jacobs, Jeremy F.","contributorId":41130,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":845059,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kuchta, Shawn R.","contributorId":102018,"corporation":false,"usgs":true,"family":"Kuchta","given":"Shawn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":845021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bell, Rayna C.","contributorId":292551,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":845022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70255102,"text":"70255102 - 2022 - Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","interactions":[],"lastModifiedDate":"2024-06-17T13:42:40.49227","indexId":"70255102","displayToPublicDate":"2022-06-24T08:33:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","docAbstract":"<p><span>Monitoring is usually among the first actions taken to help inform recovery planning for declining species, but these data are rarely used formally to inform conservation decision making. For example, Central Valley Chinook salmon were once abundant, but anthropogenic activities have led to widespread habitat loss and degradation resulting in significant population declines. Monitoring data suggest survival through the southern Sacramento-San Joaquin River Delta, in particular, may be a limiting factor for juvenile Chinook salmon outmigrating from the San Joaquin River and its tributaries. However, survival and routing monitoring data have not been formally used to inform water management in a decision analytic framework. Here, we illustrate how estimates derived from disjunct monitoring data can be used to inform water management and as a basis for adaptively managing flows. We aggregated a meta-analysis of Chinook salmon smolt survival and routing estimates through the south Delta with other sources of data to develop a survival and routing simulation model to estimate optimal flows for the San Joaquin River during smolt outmigration from February–May. We found that large flow pulses at predictable times during the spring are projected to be optimal for increasing Chinook salmon smolt survival to the San Francisco Bay and that optimal scenarios differed somewhat with water year type. Sensitivity analysis revealed temperature and smolt outmigration timing are driving optimal pulse distribution and that water allocation changes little with parameter uncertainty. This case study highlights the utility of the decision-analytic framework for solving conservation problems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.110058","usgsCitation":"Wohner, P.J., Duarte, A., Wikert, J., Cavallo, B., Zeug, S.C., and Peterson, J., 2022, Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts: Ecological Modelling, v. 471, 110058, 17 p., https://doi.org/10.1016/j.ecolmodel.2022.110058.","productDescription":"110058, 17 p.","ipdsId":"IP-133558","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2022.110058","text":"Publisher Index Page"},{"id":430269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.22739494059627,\n              38.193612778746115\n            ],\n            [\n              -122.22739494059627,\n              37.63171263541648\n            ],\n            [\n              -120.98640474009068,\n              37.63171263541648\n            ],\n            [\n              -120.98640474009068,\n              38.193612778746115\n            ],\n            [\n              -122.22739494059627,\n              38.193612778746115\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"471","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti J.","contributorId":338611,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":338612,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wikert, John","contributorId":338613,"corporation":false,"usgs":false,"family":"Wikert","given":"John","email":"","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavallo, Brad","contributorId":338615,"corporation":false,"usgs":false,"family":"Cavallo","given":"Brad","email":"","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeug, Steven C.","contributorId":338617,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255536,"text":"70255536 - 2022 - Intrabrood variation in nestling mass among three sagebrush-associated songbirds","interactions":[],"lastModifiedDate":"2024-06-21T12:01:40.458134","indexId":"70255536","displayToPublicDate":"2022-06-21T06:57:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Intrabrood variation in nestling mass among three sagebrush-associated songbirds","docAbstract":"<p id=\"ID0EF\" class=\"first\">The young of some altricial bird species hatch asynchronously, which can lead to considerable size differences among siblings. Nestling traits such as body mass, moreover, can carry over and influence post-fledging survival. Despite the potential importance of nestling mass for reproductive outcomes, however, variation in nestling mass and relationships with brood size has been described and quantified rarely. We weighed 453 nestlings from 148 nests of 3 sympatric, sagebrush-associated songbird species in Wyoming, USA, to describe the range of intrabrood mass differences. Intrabrood differences in nestling mass were greatest for the largest species, the Sage Thrasher (<i>Oreoscoptes montanus</i>), for which the smallest nestling in a brood was on average 26.2% smaller than the largest. The smaller Vesper Sparrow (<i>Pooecetes gramineus</i>) and Brewer's Sparrow (<i>Spizella breweri</i>) exhibited similar intrabrood mass ratios, with the smallest nestling being 17.4% and 18.4% smaller on average than the largest for the 2 species, respectively. For each additional nestling within a brood, the smallest nestling was an additional 6.6–13.6% smaller than the largest nestling, depending on species. Understanding the extent of intrabrood variation in nestling traits has important implications for the productivity of species facing unpredictable environments.</p>","language":"English","publisher":"BioOne","doi":"10.1676/21-00047","usgsCitation":"Rhea, A.M., Carlisle, J., and Chalfoun, A.D., 2022, Intrabrood variation in nestling mass among three sagebrush-associated songbirds: The Wilson Journal of Ornithology, v. 134, no. 2, p. 345-351, https://doi.org/10.1676/21-00047.","productDescription":"7 p.","startPage":"345","endPage":"351","ipdsId":"IP-128963","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rhea, Ashleigh M.","contributorId":339524,"corporation":false,"usgs":false,"family":"Rhea","given":"Ashleigh","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":904555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carlisle, Jason D.","contributorId":339525,"corporation":false,"usgs":false,"family":"Carlisle","given":"Jason D.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":904556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":904557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70232261,"text":"70232261 - 2022 - Rare window into an ancient struggle","interactions":[],"lastModifiedDate":"2022-06-20T17:06:47.751169","indexId":"70232261","displayToPublicDate":"2022-06-20T12:06:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2093,"text":"International Wolf","active":true,"publicationSubtype":{"id":10}},"title":"Rare window into an ancient struggle","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"International Wolf Center","usgsCitation":"Petersohn, M.C., and Barber-Meyer, S., 2022, Rare window into an ancient struggle: International Wolf, v. 2022, no. Summer, p. 26-27.","productDescription":"2 p.","startPage":"26","endPage":"27","ipdsId":"IP-135095","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":402379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402378,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wolf.org/wolf-info/wolf-magazine/current-issue/"}],"volume":"2022","issue":"Summer","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Petersohn, Megan Carolyn 0000-0002-8955-9980","orcid":"https://orcid.org/0000-0002-8955-9980","contributorId":292501,"corporation":false,"usgs":true,"family":"Petersohn","given":"Megan","email":"","middleInitial":"Carolyn","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217939,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":844877,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70232905,"text":"70232905 - 2022 - Statistical assessment on determining local presence of rare bat species","interactions":[],"lastModifiedDate":"2022-07-13T11:50:01.124415","indexId":"70232905","displayToPublicDate":"2022-06-16T06:47:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Statistical assessment on determining local presence of rare bat species","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Surveying cryptic, sparsely distributed taxa using autonomous recording units, although cost-effective, provides imperfect knowledge about species presence. Summertime bat acoustic surveys in North America exemplify the challenges with characterizing sources of uncertainty: observation error, inability to census populations, and natural stochastic variation. Statistical uncertainty, if not considered thoroughly, hampers determining rare species presence accurately and/or estimating rangewide status and trends with suitable precision. Bat acoustic data are processed using an automated workflow in which proprietary or open-source algorithms assign a species label to each recorded high-frequency echolocation sequence. A false-negative occurs, if a species is actually present but not recorded and/or all recordings from the species are of such poor quality that a correct species identity cannot be assigned to any observation. False positives for a focal species are a direct result of the presence and incorrect identification of a recording from another species. We compare four analytical approaches in terms of parameter estimation and their resulting (in)correct decisions regarding species presence or absence using realistic data-generating scenarios for bat acoustic data within a simulation study. The current standard for deciding species presence or absence uses a multinomial likelihood-ratio test<span>&nbsp;</span><i>p</i><span>&nbsp;</span>value (maximum likelihood estimate [MLE]-metric) that accounts for known species misidentifications, but not imperfect detection and only returns a binary outcome (evidence of presence or not). We found that the MLE-metric had estimated median correct decisions less than 60% for presence and greater than 85% for absence. Alternatively, a multispecies count detection model was equivalent to or better than the MLE-metric for correct claims of rare species presence or absence using the posterior probability a species was present at a site and, importantly, provided unbiased estimates of relative activity and probability of occurrence, creating opportunities for reducing posterior uncertainty through the inclusion of meaningful covariates. Single-species occupancy models with and without false-positive detections removed were insufficient for determining local presence because of substantially biased occurrence and detection probabilities. We propose solutions to potential barriers for integrating local, short-term and rangewide, long-term acoustic surveys within a cohesive statistical framework that facilitates determining local species presence with uncertainty concurrent with estimating species–environment relationships.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4142","usgsCitation":"Irvine, K.M., Banner, K., Stratton, C., Ford, W., and Reichert, B., 2022, Statistical assessment on determining local presence of rare bat species: Ecosphere, v. 13, no. 6, e4142, 15 p., https://doi.org/10.1002/ecs2.4142.","productDescription":"e4142, 15 p.","ipdsId":"IP-133431","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":447424,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecs2.4142","text":"External Repository"},{"id":403588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Irvine, Kathryn M. 0000-0002-6426-940X kirvine@usgs.gov","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":2218,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","email":"kirvine@usgs.gov","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":846458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":846459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":846460,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":846461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reichert, Brian E. 0000-0002-9640-0695","orcid":"https://orcid.org/0000-0002-9640-0695","contributorId":204260,"corporation":false,"usgs":true,"family":"Reichert","given":"Brian","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":846462,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263077,"text":"70263077 - 2022 - Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.","interactions":[],"lastModifiedDate":"2025-01-29T15:10:32.880127","indexId":"70263077","displayToPublicDate":"2022-06-08T08:55:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18342,"text":"Proceedings of the Royal Society B, Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.","docAbstract":"<p><span>Inland fisheries feed greater than 150 million people globally, yet their status is rarely assessed due to their socio-ecological complexity and pervasive lack of data. Here, we leverage an unprecedented landings time series from the Amazon, Earth's largest river basin, together with theoretical food web models to examine (i) taxonomic and trait-based signatures of exploitation in inland fish landings and (ii) implications of changing biodiversity for fisheries resilience. In both landings time series and theory, we find that multi-species exploitation of diverse inland fisheries results in a hump-shaped landings evenness curve. Along this trajectory, abundant and large species are sequentially replaced with faster growing and smaller species. Further theoretical analysis indicates that harvests can be maintained for a period of time but that continued biodiversity depletion reduces the pool of compensating species and consequently diminishes fisheries resilience. Critically, higher fisheries biodiversity can delay fishery collapse. Although existing landings data provide an incomplete snapshot of long-term dynamics, our results suggest that multi-species exploitation is affecting freshwater biodiversity and eroding fisheries resilience in the Amazon. More broadly, we conclude that trends in landings evenness could characterize multi-species fisheries development and aid in assessing their sustainability.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2022.0726","usgsCitation":"Heilpern, S., Sethi, S., Barthem, R., da Silva Batista, V., Doria, C.R., Duponchelle, F., Garcia Vasquez, A., Goulding, M., Isaac, V., Naeem, S., and Flecker, A., 2022, Biodiversity underpins fisheries resilience to exploitation in the Amazon River basin.: Proceedings of the Royal Society B, Biological Sciences, v. 289, no. 1976, 20220726, 10 p., https://doi.org/10.1098/rspb.2022.0726.","productDescription":"20220726, 10 p.","ipdsId":"IP-117938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":487601,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archimer.ifremer.fr/doc/00776/88847/","text":"External 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Michael","contributorId":350174,"corporation":false,"usgs":false,"family":"Goulding","given":"Michael","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":925463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isaac, Victoria","contributorId":350175,"corporation":false,"usgs":false,"family":"Isaac","given":"Victoria","affiliations":[{"id":83695,"text":"Núcleo de Ecologia Aquática e Pesca da Amazônia","active":true,"usgs":false}],"preferred":false,"id":925464,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Naeem, Shahid","contributorId":287018,"corporation":false,"usgs":false,"family":"Naeem","given":"Shahid","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":925527,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Flecker, Alexander 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,{"id":70232207,"text":"70232207 - 2022 - Interpreting long-distance movements of non-migratory golden eagles: Prospecting and nomadism?","interactions":[],"lastModifiedDate":"2022-06-13T16:35:54.384199","indexId":"70232207","displayToPublicDate":"2022-06-04T11:30:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Interpreting long-distance movements of non-migratory golden eagles: Prospecting and nomadism?","docAbstract":"<p><span>Movements by animals can serve different functions and occur over a variety of spatial and temporal scales. Routine movement types, such as residency (localized movements) and migration, have been well studied. However, nonroutine movement types, such as dispersal, prospecting, and nomadism, are less well understood. Documenting these rarely detected events requires tracking large numbers of individuals across all age classes. We studied &gt;500 golden eagles (</span><i>Aquila chrysaetos</i><span>) tracked by telemetry over a 10-year period in western North America, of which 160 engaged in nonroutine, long-distance (&gt;300 km) movements. We identified spatial and temporal correlates of those movements at both small and large scales, and we quantified movement timing and direction. We further tested which age and sex classes of eagles were more likely to engage in these movements. Our analysis of 88,093 daily tracks suggested that distances traveled by eagles were responsive to the updraft potential of the spatial and temporal landscape they encountered. Tracks covered longer distances at locations and times of higher updraft potential, and older birds traveled farther than younger birds. By contrast, after decomposing daily tracks into 563 nonroutine, long-distance movements measured at a multiday scale, only the duration of travel was responsive to environmental conditions encountered by eagles. Multiday trips that were longer were those initiated in open and warm landscapes and those that ended in mountainous regions. Finally, long-distance movements were more frequently made in seasons other than winter, in north–south directions, and by young birds. We documented clear correlates of nonroutine, long-distance movements by golden eagles at small, local scales but found little evidence of such correlates at larger, regional scales. Most long-distance movements we documented fit patterns associated with traditional definitions of prospecting and nomadism but not migration. Our study is the first to describe these movement types by golden eagles, and as such provides a foundation for subsequent study into the movement ecology of other species.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4072","usgsCitation":"Poessel, S.A., Woodbridge, B., Smith, B.W., Murphy, R.K., Bedrosian, B.E., Bell, D., Bittner, D., Bloom, P., Crandall, R.H., Domenech, R., Fisher, R.N., Haggerty, P., Slater, S.J., Tracey, J.A., Watson, J.W., and Katzner, T., 2022, Interpreting long-distance movements of non-migratory golden eagles: Prospecting and nomadism?: Ecosphere, v. 13, no. 6, e4072, 17 p., https://doi.org/10.1002/ecs2.4072.","productDescription":"e4072, 17 p.","ipdsId":"IP-124395","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research 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,{"id":70232132,"text":"70232132 - 2022 - Petrogenesis and rare earth element mineralization of the Elk Creek carbonatite, Nebraska, USA","interactions":[],"lastModifiedDate":"2022-06-08T11:50:52.591025","indexId":"70232132","displayToPublicDate":"2022-06-04T06:48:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Petrogenesis and rare earth element mineralization of the Elk Creek carbonatite, Nebraska, USA","docAbstract":"<div id=\"ab015\" class=\"abstract author\"><div id=\"as015\"><p id=\"sp0015\">Although carbonatites are the primary source of the world’s rare earth elements (REEs), the processes responsible for ore-grade REE enrichment in carbonatites are still poorly understood. In this study, we present a petrologic, geochemical, and isotopic evaluation of the Elk Creek carbonatite in southeast Nebraska to constrain the origin of REE mineralization. The Elk Creek carbonatite is a multilithologic carbonatite comprised of an early apatite-dolomite carbonatite, a middle/heavy REE-enriched magnetite-dolomite carbonatite, and a late-stage light REE-enriched, barite-dolomite carbonatite, as well as a suite of breccias. Neodymium, strontium, and carbon isotopic data from the early apatite-dolomite carbonatite, ε<sub>Nd</sub>(T)&nbsp;=&nbsp;2.3 to 3.4,<span>&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr<sub>(i)</sub>&nbsp;=&nbsp;0.702704 to 0.702857, and δ<sup>13</sup>C&nbsp;=&nbsp;−3.3 to −3.4, indicate that the parental magma and REEs were derived from the mantle, and textural and chemical data suggest that hydrothermal processes played an important role in reaching ore-grade enrichment. Higher initial<span>&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr values (∼0.7041) of REE-mineralized lithologies are evidence that these fluids were derived, in part, from meteoric water that interacted with the country rock. Modeling of the C-O isotopic data reveals that some of the isotopic variation results from closed-system Rayleigh fractionation of an evolving carbonatitic magma between 300 and 500&nbsp;°C, but an excursion to heavier δ<sup>18</sup>O is likely the result of interaction with H<sub>2</sub>O-CO<sub>2</sub>-fluids at temperatures from 400 to 100&nbsp;°C. Hydrothermal dolomite has higher<span>&nbsp;</span><sup>87</sup>Sr/<sup>86</sup>Sr values than early-formed magmatic dolomite, consistent with metasomatism by fluids derived, in part, from a more radiogenic source such as the Precambrian-age wall rock. Rare earth element mineralization occurs primarily in fine-grained, cavity filling minerals including monazite, bastnäsite, parisite, and synchysite along with barite, dolomite, quartz, and iron oxides. We interpret the LREE enrichment at Elk Creek to be the product of hydrothermal fluids derived from the evolving carbonatite magma and fluids from the wall rock. The REEs likely became enriched in late-stage fluids from the evolving magma as well as being remobilization by the dissolution of earlier formed minerals. Middle/heavy REE-enrichment in the magnetite-dolomite carbonatite is hosted in hydrothermal dolomite and is attributed to variations in the composition of hydrothermal fluids.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2022.104953","usgsCitation":"Verplanck, P., Farmer, G.L., Kettler, R.M., Lowers, H.A., Johnson, C.A., Koenig, A.E., and Blessington, M.J., 2022, Petrogenesis and rare earth element mineralization of the Elk Creek carbonatite, Nebraska, USA: Ore Geology Reviews, v. 146, 104953, 19 p., https://doi.org/10.1016/j.oregeorev.2022.104953.","productDescription":"104953, 19 p.","ipdsId":"IP-137353","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":447551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70231843,"text":"70231843 - 2022 - 2021 Tinian Island forest bird abundance estimates","interactions":[],"lastModifiedDate":"2022-05-31T13:46:34.099268","indexId":"70231843","displayToPublicDate":"2022-05-31T08:25:54","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":257,"text":"Hawai‘i Cooperative Studies Unit Technical Report","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"105","title":"2021 Tinian Island forest bird abundance estimates","docAbstract":"<p><span>The U.S. Navy, through Micronesian Environmental Services, surveyed landbirds in the Military </span><span>Lease Area on Tinian Island in May and June 2021 using point-transect distance sampling </span><span>methods. There were 2,074 individuals of 14 species detected during 123 point counts. Six </span><span>species were detected during &gt;50% of the counts and were observed at relatively high </span><span>abundances, while eight species occurred at &lt;50% of the counts and were uncommon to rare. </span><span>Densities of native landbirds in the Military Lease Area ranged from the uncommon Mariana </span><span>kingfisher (<i>Todiramphus albicilla</i>) at 0.46 birds/ha (95% confidence interval [CI] = 0.33–0.63) </span><span>to the very abundant bridled white-eye (<i>Zosterops conspicillatus</i>) at 102.63 birds/ha (95%CI = </span><span>86.70–122.91). Most distances recorded during the 2021 Military Lease Area survey were </span><span>rounded to distance intervals of 0 and 5. Measuring exact distances of detected animals is </span><span>preferable to collecting distances grouped into bins or rounding. Direct comparison with </span><span>previously published estimates was not possible because of changes in the sampling frame; </span><span>however, densities of six species were greater, two were smaller, and one was similar to the </span><span>2008 survey estimates for the Hagoi, Diablo, and Masalog regions. Our findings indicate that </span><span>the landbird community in the Military Lease Area appears to be dynamic and resilient.</span></p>","language":"English","publisher":"Hawai`i Cooperative Studies Unit, University of Hawai`i at Hilo","usgsCitation":"Camp, R.J., Bak, T., and Genz, A., 2022, 2021 Tinian Island forest bird abundance estimates: Hawai‘i Cooperative Studies Unit Technical Report 105, iii, 19 p.","productDescription":"iii, 19 p.","ipdsId":"IP-138765","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":401367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":401361,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5388"}],"country":"Northern Mariana Islands","otherGeospatial":"Military Lease Area, Tinian Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      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