{"pageNumber":"329","pageRowStart":"8200","pageSize":"25","recordCount":184769,"records":[{"id":70243187,"text":"70243187 - 2022 - Quantifying permanent uplift due to lithosphere-hotspot interaction","interactions":[],"lastModifiedDate":"2023-05-03T11:51:00.692258","indexId":"70243187","displayToPublicDate":"2022-12-08T06:48:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying permanent uplift due to lithosphere-hotspot interaction","docAbstract":"<div class=\"article-section__content en main\"><p>Vertical motions that accompany the passage of the lithosphere over a mantle hotspot can shed light on the nature of the hotspot and its effect on the lithosphere. However, quantifying the temporal vertical and spatial extent, is challenging due to the paucity of evidence in the geological record. Here, we utilize dense seismic and well data covering the intersection of the Great Meteor Hotspot (GMH) track with the U.S. Atlantic continental margin to constrain the surface expression of the hotspot passage under the lithosphere. The continuous sedimentary record of the eastern North American margin during its passage over the hotspot allows determination of the timing, magnitude, width and rate of denudation. We find that a ∼300&nbsp;km wide region was denuded by up to 850&nbsp;m between ∼97 and 86&nbsp;Ma, ∼10&nbsp;m.y. after the passage of the GMH. Stratigraphic relationships suggest a decaying rock uplift rate with time and no subsequent sagging. The broad, long-lasting, and delayed uplift was modeled as a surface manifestation of either sub-lithospheric mantle depletion, permanently eroded base of the continental lithosphere, or intrusions of depleted magma. We consider sub-lithospheric depletion to be the most likely cause, based on seismic imaging results.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022TC007448","usgsCitation":"Lang, G., and ten Brink, U.S., 2022, Quantifying permanent uplift due to lithosphere-hotspot interaction: Tectonics, v. 41, no. 12, e2022TC007448, 16 p., https://doi.org/10.1029/2022TC007448.","productDescription":"e2022TC007448, 16 p.","ipdsId":"IP-138344","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":445696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022tc007448","text":"Publisher Index Page"},{"id":416651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.6418461037233,\n              46.41102221638212\n            ],\n            [\n              -77.6418461037233,\n              39.63263170609457\n            ],\n            [\n              -64.1048906255545,\n              39.63263170609457\n            ],\n            [\n              -64.1048906255545,\n              46.41102221638212\n            ],\n            [\n              -77.6418461037233,\n              46.41102221638212\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lang, Guy","contributorId":304702,"corporation":false,"usgs":false,"family":"Lang","given":"Guy","email":"","affiliations":[{"id":66147,"text":"Dept. of Marine Geosciences, University of Haifa","active":true,"usgs":false}],"preferred":false,"id":871409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":871410,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70238840,"text":"70238840 - 2022 - Working toward a National Coordinated Soil Moisture Monitoring Network: Vision, progress, and future directions","interactions":[],"lastModifiedDate":"2022-12-14T12:38:35.379339","indexId":"70238840","displayToPublicDate":"2022-12-08T06:36:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"title":"Working toward a National Coordinated Soil Moisture Monitoring Network: Vision, progress, and future directions","docAbstract":"<div class=\"component component-content-item component-content-summary abstract_or_excerpt\"><div class=\"content-box box border-bottom border-bottom-inherit border-bottom-inherit no-padding no-header vertical-margin-bottom null\"><div class=\"content-box-body null\"><p>Soil moisture is a critical land surface variable, impacting the water, energy, and carbon cycles. While in situ soil moisture monitoring networks are still developing, there is no cohesive strategy or framework to coordinate, integrate, or disseminate these diverse data sources in a synergistic way that can improve our ability to understand climate variability at the national, state, and local levels. Thus, a national strategy is needed to guide network deployment, sustainable network operation, data integration and dissemination, and user-focused product development. The National Coordinated Soil Moisture Monitoring Network (NCSMMN) is a federally led, multi-institution effort that aims to address these needs by capitalizing on existing wide-ranging soil moisture monitoring activities, increasing the utility of observational data, and supporting their strategic application to the full range of decision-making needs. The goals of the NCSMMN are to 1) establish a national “network of networks” that effectively demonstrates data integration and operational coordination of diverse in situ networks; 2) build a community of practice around soil moisture measurement, interpretation, and application—a “network of people” that links data providers, researchers, and the public; and 3) support research and development (R&amp;D) on techniques to merge in situ soil moisture data with remotely sensed and modeled hydrologic data to create user-friendly soil moisture maps and associated tools. The overarching mission of the NCSMMN is to provide<span>&nbsp;</span><i>coordinated high-quality, nationwide soil moisture information for the public good</i><span>&nbsp;</span>by supporting applications like drought and flood monitoring, water resource management, agricultural and forestry planning, and fire danger ratings.</p></div></div></div>","language":"English","publisher":"American Meteorology Society","doi":"10.1175/BAMS-D-21-0178.1","usgsCitation":"Baker, C.B., Cosh, M.H., Bolten, J., Brusberg, M., Caldwell, T., Connolly, S., Dobreva, I., Edwards, N., Goble, P.E., Ochsner, T.E., Quiring, S.M., Robotham, M., Skumanich, M., Svoboda, M., White, W.A., and Woloszyn, M., 2022, Working toward a National Coordinated Soil Moisture Monitoring Network: Vision, progress, and future directions: Bulletin of the American Meteorological Society, v. 103, no. 12, p. E2719-E2732, https://doi.org/10.1175/BAMS-D-21-0178.1.","productDescription":"14 p,","startPage":"E2719","endPage":"E2732","ipdsId":"IP-138457","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":445699,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1175/bams-d-21-0178.1","text":"External Repository"},{"id":410457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"103","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, C. Bruce","contributorId":299861,"corporation":false,"usgs":false,"family":"Baker","given":"C.","email":"","middleInitial":"Bruce","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":858871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosh, Michael H.","contributorId":146998,"corporation":false,"usgs":false,"family":"Cosh","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":858872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bolten, John","contributorId":299863,"corporation":false,"usgs":false,"family":"Bolten","given":"John","email":"","affiliations":[{"id":37453,"text":"National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":858873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brusberg, Mark","contributorId":299864,"corporation":false,"usgs":false,"family":"Brusberg","given":"Mark","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":858874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caldwell, Todd 0000-0003-4068-0648","orcid":"https://orcid.org/0000-0003-4068-0648","contributorId":217924,"corporation":false,"usgs":true,"family":"Caldwell","given":"Todd","email":"","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Connolly, Stephanie","contributorId":299866,"corporation":false,"usgs":false,"family":"Connolly","given":"Stephanie","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":858876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobreva, Iliyana","contributorId":299868,"corporation":false,"usgs":false,"family":"Dobreva","given":"Iliyana","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":858877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Nathan","contributorId":260132,"corporation":false,"usgs":false,"family":"Edwards","given":"Nathan","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":858878,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goble, Peter E.","contributorId":299870,"corporation":false,"usgs":false,"family":"Goble","given":"Peter","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":858879,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ochsner, Tyson E.","contributorId":299872,"corporation":false,"usgs":false,"family":"Ochsner","given":"Tyson","email":"","middleInitial":"E.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":858880,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Quiring, Steven M.","contributorId":299874,"corporation":false,"usgs":false,"family":"Quiring","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":858881,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Robotham, Michael","contributorId":299876,"corporation":false,"usgs":false,"family":"Robotham","given":"Michael","email":"","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":858882,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Skumanich, Marina","contributorId":260137,"corporation":false,"usgs":false,"family":"Skumanich","given":"Marina","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":858883,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Svoboda, Mark","contributorId":192357,"corporation":false,"usgs":false,"family":"Svoboda","given":"Mark","email":"","affiliations":[],"preferred":false,"id":858884,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"White, W. Alex","contributorId":299878,"corporation":false,"usgs":false,"family":"White","given":"W.","email":"","middleInitial":"Alex","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":858885,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Woloszyn, Molly","contributorId":260136,"corporation":false,"usgs":false,"family":"Woloszyn","given":"Molly","email":"","affiliations":[{"id":52519,"text":"NOAA National Integrated Drought Information System","active":true,"usgs":false}],"preferred":false,"id":858886,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70262372,"text":"70262372 - 2022 - Adult Atlantic salmon (Salmo salar) delayed below dams rapidly deplete energy stores","interactions":[],"lastModifiedDate":"2025-01-23T16:07:50.716392","indexId":"70262372","displayToPublicDate":"2022-12-08T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Adult Atlantic salmon (Salmo salar) delayed below dams rapidly deplete energy stores","docAbstract":"<p><span>Atlantic salmon (</span><i>Salmo salar</i><span>) return to rivers in spring for an energetically costly upstream migration for spawning. These fish are often delayed in the lower river below dams, subjecting them to warmer waters than occur in upstream sections of river, that may increase metabolic costs. We sought to quantify the energetic cost of dam-mediated delays in migrating adults in the Penobscot and Kennebec rivers, ME. We radio-tagged fish at the lower most dams, released them downstream (18 and 14&nbsp;km), and tracked their movements back upstream. We used a Distell Fish Fatmeter as a noninvasive measurement of full-body energy at tagging and then again after re-ascending the fish-way at the dams. We found that adults (</span><i>n</i><span>&nbsp;=&nbsp;99) experienced average delays of 16–23 days at dams, losing 11%–22% of initial fat reserves. Using linear regressions, we showed thermal experience as a strong predictor of fat loss. Delay time was also a contributing factor. Extensive delays at dams expose migrating Atlantic salmon to warmer temperatures and increase the depletion rate of energy reserves required for spawning and post-spawn survival.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0008","usgsCitation":"Rubenstein, S., Peterson, E., Christman, P., and Zydlewski, J.D., 2022, Adult Atlantic salmon (Salmo salar) delayed below dams rapidly deplete energy stores: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 1, p. 170-182, https://doi.org/10.1139/cjfas-2022-0008.","productDescription":"13 p.","startPage":"170","endPage":"182","ipdsId":"IP-137191","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Lockwood Dam, Milford Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.36478332126005,\n              44.873642207371006\n            ],\n            [\n              -70.36478332126005,\n              44.06312690380926\n            ],\n            [\n              -67.77061776241788,\n              44.06312690380926\n            ],\n            [\n              -67.77061776241788,\n              44.873642207371006\n            ],\n            [\n              -70.36478332126005,\n              44.873642207371006\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"80","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rubenstein, Sarah R.","contributorId":349051,"corporation":false,"usgs":false,"family":"Rubenstein","given":"Sarah R.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Erin","contributorId":349052,"corporation":false,"usgs":false,"family":"Peterson","given":"Erin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christman, Paul","contributorId":349053,"corporation":false,"usgs":false,"family":"Christman","given":"Paul","affiliations":[{"id":68617,"text":"Maine Department of Marine Resources","active":true,"usgs":false}],"preferred":false,"id":923958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":923959,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238761,"text":"sir20225110 - 2022 - Water quality of sand and gravel aquifers in McHenry County, Illinois, 2020 and comparisons to conditions in 2010","interactions":[],"lastModifiedDate":"2022-12-09T20:49:58.848528","indexId":"sir20225110","displayToPublicDate":"2022-12-07T14:27:26","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":"2022-5110","displayTitle":"Water Quality of Sand and Gravel Aquifers in McHenry County, Illinois, 2020 and Comparisons to Conditions in 2010","title":"Water quality of sand and gravel aquifers in McHenry County, Illinois, 2020 and comparisons to conditions in 2010","docAbstract":"<p>McHenry County, Illinois, obtains most of its drinking water from shallow sand and gravel aquifers (groundwater). To evaluate this groundwater resource, the U.S. Geological Survey, in cooperation with McHenry County, Illinois, collected water-quality samples from 41 of 42 monitoring wells in the McHenry County Groundwater Monitoring Network and 4 monitoring wells from the U.S. Geological Survey National Water-Quality Assessment Project. Additionally, a subset of 12 monitoring wells was sampled and analyzed for pharmaceuticals and wastewater indicator compounds (WICs), collectively referred to as “contaminants of emerging concern” (CECs). Results from this 2020 study were compared to the 2010 results to assess changes in groundwater quality. Statistical analyses and chloride-bromide ratio analyses also were completed to assess changes in water quality.</p><p>Health-based benchmarks were exceeded for arsenic (about 24 percent; 11 of 45 monitoring wells), sodium (40 percent, 18 of 45), and manganese (about 2 percent, 1 of 45). Aesthetically based benchmarks were exceeded for dissolved solids (about 29 percent, 13 of 45), chloride (about 4 percent, 2 of 45), iron (about 87 percent, 39 of 45), and manganese (about 29 percent, 13 of 45). CECs were detected at low or estimated concentrations in 8 of the 12 (about 67 percent) monitoring wells analyzed.</p><p>In addition to sampling the groundwater monitoring wells, three surface-water-quality monitoring sites also were sampled and analyzed for pharmaceuticals and WICs to provide a preliminary assessment of the presence of CECs in the surface waters. CECs were detected in all three of the surface-water-quality monitoring samples collected, and WICs were more prevalent and more frequently detected than pharmaceutical compounds. These results provided a cursory understanding of the presence of CECs in surface waters and do not constitute a robust analysis of sources, seasonality, range of concentrations, persistence, or effects.</p><p>The 2020 groundwater-quality results had measurements of field properties, and concentrations of major ions, trace metals, and nutrients that were consistent with 2010 results with statistically significant increases for calcium, magnesium, and silica, and decreases for aluminum, ammonia, arsenic, barium, bromide, calcium, molybdenum, phosphate, specific conductance, sulfate, and dissolved solids. Increases generally were detected in the intermediate and deep parts of the sand and gravel aquifer, and decreases were detected in the shallow parts of the sand and gravel aquifer. The mixed distribution of increases and decreases among the various constituents and aquifer-depth groups could be reflecting dissolution and mobility of some of the redox sensitive constituents and dilution of some constituents in the shallow aquifer depths. These changes may be attributed to a combination of stable population of the past decade (2010–20), land-use management practices, and the recent wet years of 2017 through 2019 causing a dilution of the major ions in the shallow parts of the aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225110","collaboration":"Prepared in cooperation with McHenry County, Illinois","usgsCitation":"Gahala, A.M., Gruhn, L.R., Murphy, J.C., and Matson, L.A., 2022, Water quality of sand and gravel aquifers in McHenry County, Illinois, 2020 and comparisons to conditions in 2010: U.S. Geological Survey Scientific Investigations Report 2022–5110, 53 p., https://doi.org/10.3133/sir20225110.","productDescription":"Report: viii, 53 p.; Data Release; Dataset","numberOfPages":"66","onlineOnly":"Y","ipdsId":"IP-137120","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":435599,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9W1TPNF","text":"USGS data release","linkHelpText":"Reconnaissance of Per- and Polyfluoroalkyl Substances (PFAS) in Selected Groundwater and Surface Water Sites in McHenry County, Illinois, 2020"},{"id":410159,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5110/coverthb.jpg"},{"id":410160,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5110/sir20225110.pdf","text":"Report","size":"4.21 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5110"},{"id":410161,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5110/sir20225110.XML"},{"id":410162,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5110/images"},{"id":410163,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":410164,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RBXV53","text":"USGS data release","linkHelpText":"Quality-assurance and quality-control data for discrete water-quality samples collected in McHenry County, Illinois, 2020"},{"id":410218,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225110/full","text":"Report","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Illinois","county":"McHenry County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.3016,42.4979],[-88.1971,42.4981],[-88.1979,42.4562],[-88.1974,42.4167],[-88.1966,42.3286],[-88.1994,42.2432],[-88.1992,42.1555],[-88.2382,42.155],[-88.3539,42.1547],[-88.4703,42.1552],[-88.5891,42.1556],[-88.7061,42.1564],[-88.7057,42.2418],[-88.7041,42.329],[-88.705,42.4167],[-88.7059,42.4972],[-88.6737,42.4977],[-88.6288,42.4985],[-88.5047,42.4981],[-88.4099,42.4977],[-88.3016,42.4979]]]},\"properties\":{\"name\":\"McHenry\",\"state\":\"IL\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin<br>Urbana, IL 61801</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>2020 Water Quality</li><li>Comparison to 2010 Water-Quality Results</li><li>Statistical Comparison</li><li>Comparison of Chloride to Bromide Ratios</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Quality Assurance and Quality Control of Water-Quality Results</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-12-07","noUsgsAuthors":false,"publicationDate":"2022-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gahala, Amy M. 0000-0003-2380-2973 agahala@usgs.gov","orcid":"https://orcid.org/0000-0003-2380-2973","contributorId":4396,"corporation":false,"usgs":true,"family":"Gahala","given":"Amy","email":"agahala@usgs.gov","middleInitial":"M.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Matson, Lisa A. 0000-0002-5301-6220","orcid":"https://orcid.org/0000-0002-5301-6220","contributorId":222074,"corporation":false,"usgs":true,"family":"Matson","given":"Lisa A.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858498,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70238948,"text":"70238948 - 2022 - Abundance and distribution of large thecosome pteropods in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-12-19T14:33:45.703683","indexId":"70238948","displayToPublicDate":"2022-12-07T08:33:02","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":735,"text":"American Malacological Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Abundance and distribution of large thecosome pteropods in the northern Gulf of Mexico","docAbstract":"<p><span>The ecological role of large thecosome pteropods in the pelagic ecosystem of the northern Gulf of Mexico (GoM) may be substantial, both in the food web and biogeochemical cycling. We analyzed species abundances, vertical and horizontal distributions of large species with calcareous shells (those collected in 3-mm mesh nets). Pteropod samples were collected following the 2010 Deepwater Horizon oil (DWH) spill by two midwater sampling programs: the Offshore Nekton Sampling and Analysis Program (ONSAP 2011) and the Deep Pelagic Nekton Dynamics of the Gulf of Mexico (</span>DEEPEND 2015<span>) projects. All samples were collected using a 10-m</span><sup>2</sup><span>&nbsp;Multiple Opening/Closing Net and Environmental Sensing System (MOC10) midwater trawl, with 3-mm mesh. This gear sampled five discrete depths between 0–1500 m. Over 13,000 pteropod specimens were examined, with 25 species identified.&nbsp;</span><i>Clio pyramidata</i><span>&nbsp;Linnaeus 1767 was the most abundant species during both collection periods. Five genera (</span><i>Diacria, Clio, Styliola, Cuvierina, Cavolinia</i><span>) demonstrated diel vertical migration from the mesoto epipelagic zone.</span></p>","language":"English","publisher":"American Malacological Union","doi":"10.4003/006.039.0102","usgsCitation":"Shedler, S., Seibel, B., Vecchione, M., Griffin, D.W., and Judkins, H., 2022, Abundance and distribution of large thecosome pteropods in the northern Gulf of Mexico: American Malacological Bulletin, v. 39, no. 1, p. 1-11, https://doi.org/10.4003/006.039.0102.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-122312","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467141,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/54648","text":"External Repository"},{"id":410704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"northern Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92,\n              30\n            ],\n            [\n              -92,\n              26\n            ],\n            [\n              -85.5,\n              26\n            ],\n            [\n              -85.5,\n              30\n            ],\n            [\n              -92,\n              30\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shedler, Sarah","contributorId":218584,"corporation":false,"usgs":false,"family":"Shedler","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":859317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seibel, Brad","contributorId":300042,"corporation":false,"usgs":false,"family":"Seibel","given":"Brad","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":859318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vecchione, Michael","contributorId":300043,"corporation":false,"usgs":false,"family":"Vecchione","given":"Michael","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":859319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":859320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Judkins, Heather","contributorId":300044,"corporation":false,"usgs":false,"family":"Judkins","given":"Heather","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":859321,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70238769,"text":"70238769 - 2022 - Physical controls on the hydrology of perennially ice-covered lakes, Taylor Valley, Antarctica (1996-2013)","interactions":[],"lastModifiedDate":"2022-12-15T16:05:28.641938","indexId":"70238769","displayToPublicDate":"2022-12-07T06:43:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls on the hydrology of perennially ice-covered lakes, Taylor Valley, Antarctica (1996-2013)","docAbstract":"<div class=\"article-section__content en main\"><p>The McMurdo Dry Valleys, Antarctica, are a polar desert populated with numerous closed-watershed, perennially ice-covered lakes primarily fed by glacial melt. Lake levels have varied by as much as 8 m since 1972 and are currently rising after a decade of decreasing. Precipitation falls as snow, so lake hydrology is dominated by energy available to melt glacier ice and to sublimate lake ice. To understand the energy and hydrologic controls on lake level changes and to explain the variability between neighboring lakes, only a few kilometers apart, we model the hydrology for the three largest lakes in Taylor Valley. We apply a physically based hydrological model that includes a surface energy balance model to estimate glacial melt and lake sublimation to constrain mass fluxes to and from the lakes. Results show that lake levels are very sensitive to small changes in glacier albedo, air temperature, and wind speed. We were able to balance the hydrologic budget in two watersheds using meltwater inflow and sublimation loss from the ice-covered lake alone. A third watershed, closest to the coast, required additional inflow beyond model uncertainties. We hypothesize a shallow groundwater system within the active layer, fed by dispersed snow patches, contributes 23% of the inflow to this watershed. The lakes are out of equilibrium with the current climate. If the climate of our study period (1996-2013) persists into the future, the lakes will reach equilibrium starting in 2300, with levels 2-17 m higher, depending on the lake, relative to the 2020 level.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JF006833","usgsCitation":"Cross, J., Fountain, A., Hoffman, M., and Obryk, M., 2022, Physical controls on the hydrology of perennially ice-covered lakes, Taylor Valley, Antarctica (1996-2013): JGR Earth Surface, v. 127, no. 12, e2022JF006833, 20 p., https://doi.org/10.1029/2022JF006833.","productDescription":"e2022JF006833, 20 p.","ipdsId":"IP-143444","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445703,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1903551","text":"External Repository"},{"id":410194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, Taylor Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              164,\n              -77\n            ],\n            [\n              160,\n              -77\n            ],\n            [\n              160,\n              -78\n            ],\n            [\n              164,\n              -78\n            ],\n            [\n              164,\n              -77\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"127","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Cross, Julian 0000-0001-7209-119X","orcid":"https://orcid.org/0000-0001-7209-119X","contributorId":299754,"corporation":false,"usgs":false,"family":"Cross","given":"Julian","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":858532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fountain, Andrew","contributorId":299755,"corporation":false,"usgs":false,"family":"Fountain","given":"Andrew","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":858533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoffman, Matthew 0000-0001-5076-0540","orcid":"https://orcid.org/0000-0001-5076-0540","contributorId":299756,"corporation":false,"usgs":false,"family":"Hoffman","given":"Matthew","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":858534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":858535,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269048,"text":"70269048 - 2022 - The Pondosa fault zone: A distributed dextral-normal-oblique fault system in northeastern California, USA","interactions":[],"lastModifiedDate":"2025-07-15T16:49:27.549522","indexId":"70269048","displayToPublicDate":"2022-12-07T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"The Pondosa fault zone: A distributed dextral-normal-oblique fault system in northeastern California, USA","docAbstract":"<p><span>The tectonic domains of Basin and Range extension, Cascadia subduction zone contraction, and Walker Lane dextral transtension converge in the Mushroom Rock region of northeastern California, USA. We combined analysis of high-resolution topographic data, bedrock mapping,&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar geochronology, low-temperature thermochronology, and existing geologic and fault mapping to characterize an extensive dextral-normal-oblique fault system called the Pondosa fault zone. This fault zone extends north-northwest from the Pit River east of Soldier Mountain, California, into moderately high-relief volcanic topography as far north as the Bartle (California) townsite with normal and dextral offset apparent in geomorphology and fault exposures. New and existing&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar and radiocarbon dating of offset lava flows provides ages of 12.4 ka to 9.6 Ma for late Cenozoic stratigraphic units. Scarp morphology and geomorphic expression indicate that the fault system was active in the late Pleistocene. The Pondosa fault zone may represent a dextral-oblique accommodation zone between north-south–oriented Basin and Range extensional fault systems and/or part of the Sierra Nevada–Oregon Coast block microplate boundary.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02450.1","usgsCitation":"Jobe, J.A., Briggs, R.W., Gold, R.D., DeLong, S.B., Hille, M., Delano, J., Johnstone, S., Pickering, A., Phillips, R., and Calvert, A.T., 2022, The Pondosa fault zone: A distributed dextral-normal-oblique fault system in northeastern California, USA: Geosphere, v. 19, no. 1, p. 179-205, https://doi.org/10.1130/GES02450.1.","productDescription":"27 p.","startPage":"179","endPage":"205","ipdsId":"IP-137700","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492497,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02450.1","text":"Publisher Index Page"},{"id":492284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"eastern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.27831636230019,\n              41.12301709043055\n            ],\n            [\n              -122.27831636230019,\n              39.963081252129996\n            ],\n            [\n              -120.53795346715106,\n              39.963081252129996\n            ],\n            [\n              -120.53795346715106,\n              41.12301709043055\n            ],\n            [\n              -122.27831636230019,\n              41.12301709043055\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hille, Madeline 0000-0001-7240-8214","orcid":"https://orcid.org/0000-0001-7240-8214","contributorId":315582,"corporation":false,"usgs":false,"family":"Hille","given":"Madeline","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":943092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":943093,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":943094,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pickering, Alexandra 0000-0002-1281-6117","orcid":"https://orcid.org/0000-0002-1281-6117","contributorId":329929,"corporation":false,"usgs":false,"family":"Pickering","given":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":943095,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Phillips, Rachel","contributorId":341951,"corporation":false,"usgs":false,"family":"Phillips","given":"Rachel","affiliations":[{"id":81813,"text":"Department of Geological Sciences, The University of Texas El Paso, El Paso, TX","active":true,"usgs":false}],"preferred":false,"id":943096,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":943097,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70246612,"text":"70246612 - 2022 - Divergent Serpentoviruses in free-ranging invasive pythons and native colubrids in southern Florida, United States","interactions":[],"lastModifiedDate":"2024-02-28T16:47:09.562656","indexId":"70246612","displayToPublicDate":"2022-12-06T06:50:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Divergent Serpentoviruses in free-ranging invasive pythons and native colubrids in southern Florida, United States","docAbstract":"<div class=\"html-p\"><span>Burmese python (</span><i><span class=\"html-italic\">Python bivittatus</span></i><span>) is an invasive snake that has significantly affected ecosystems in southern Florida, United States. Aside from direct predation and competition, invasive species can also introduce nonnative pathogens that can adversely affect native species. The subfamily&nbsp;</span><span class=\"html-italic\">Serpentovirinae</span><span>&nbsp;(order&nbsp;</span><span class=\"html-italic\">Nidovirales</span><span>) is composed of positive-sense RNA viruses primarily found in reptiles. Some serpentoviruses, such as shingleback nidovirus, are associated with mortalities in wild populations, while others, including ball python nidovirus and green tree python nidovirus can be a major cause of disease and mortality in captive animals. To determine if serpentoviruses were present in invasive Burmese pythons in southern Florida, oral swabs were collected from both free-ranging and long-term captive snakes. Swabs were screened for the presence of serpentovirus by reverse transcription PCR and sequenced. A total serpentovirus prevalence of 27.8% was detected in 318 python samples. Of the initial swabs from 172 free-ranging pythons, 42 (24.4%) were positive for multiple divergent viral sequences comprising four clades across the sampling range. Both sex and snout-vent length were statistically significant factors in virus prevalence, with larger male snakes having the highest prevalence. Sampling location was statistically significant in circulating virus sequence. Mild clinical signs and lesions consistent with serpentovirus infection were observed in a subset of sampled pythons. Testing of native snakes (n = 219, 18 species) in part of the python range found no evidence of python virus spillover; however, five individual native snakes (2.3%) representing three species were PCR positive for unique, divergent serpentoviruses. Calculated pairwise uncorrected distance analysis indicated the newly discovered virus sequences likely represent three novel genera in the subfamily&nbsp;</span><span class=\"html-italic\">Serpentovirinae.</span><span>&nbsp;This study is the first to characterize serpentovirus in wild free-ranging pythons or in any free-ranging North America reptile. Though the risk these viruses pose to the invasive and native species is unknown, the potential for spillover to native herpetofauna warrants further investigation.</span></div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/v14122726","usgsCitation":"Tillis, S.B., Josimovich, J.M., Miller, M.A., L., H.L., Hartmann, A.M., Claunch, N.M., Iredale, M.E., Logan, T.D., Yackel Adams, A.A., Bartoszek, I., Humphrey, J.S., Kluever, B.M., Stenglein, M.D., Reed, R., Romagosa, C.M., Wellehan, J.F., and Ossiboff, R.J., 2022, Divergent Serpentoviruses in free-ranging invasive pythons and native colubrids in southern Florida, United States: Viruses, v. 14, no. 12, 2726, 19 p., https://doi.org/10.3390/v14122726.","productDescription":"2726, 19 p.","ipdsId":"IP-144300","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":445706,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v14122726","text":"Publisher Index Page"},{"id":435600,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98AZ5AU","text":"USGS data release","linkHelpText":"Serpentoviruses in free-ranging invasive pythons and native colubrids in southern Florida, United States, 2018-2020"},{"id":418853,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.85158615808304,\n              26.230705595879755\n            ],\n            [\n              -81.85158615808304,\n              24.80365777593994\n            ],\n            [\n              -79.61133640600613,\n              24.80365777593994\n            ],\n            [\n              -79.61133640600613,\n              26.230705595879755\n            ],\n            [\n              -81.85158615808304,\n              26.230705595879755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Tillis, Steven B","contributorId":316300,"corporation":false,"usgs":false,"family":"Tillis","given":"Steven","email":"","middleInitial":"B","affiliations":[{"id":68552,"text":"University of Florida, College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":877351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Josimovich, Jillian M.","contributorId":299303,"corporation":false,"usgs":false,"family":"Josimovich","given":"Jillian","email":"","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":877352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":877353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"L., Hoon-Hanks Laura","contributorId":316304,"corporation":false,"usgs":false,"family":"L.","given":"Hoon-Hanks","email":"","middleInitial":"Laura","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":877354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartmann, Arik M.","contributorId":213401,"corporation":false,"usgs":false,"family":"Hartmann","given":"Arik","email":"","middleInitial":"M.","affiliations":[{"id":38748,"text":"Hartmann Consulting Services at the U.S. Geological Survey, Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":877355,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claunch, Natalie M.","contributorId":270298,"corporation":false,"usgs":false,"family":"Claunch","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":34924,"text":"U. Florida","active":true,"usgs":false}],"preferred":false,"id":877356,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Iredale, Marley E.","contributorId":316301,"corporation":false,"usgs":false,"family":"Iredale","given":"Marley","email":"","middleInitial":"E.","affiliations":[{"id":68552,"text":"University of Florida, College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":877357,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Logan, Tracey D.","contributorId":316302,"corporation":false,"usgs":false,"family":"Logan","given":"Tracey","email":"","middleInitial":"D.","affiliations":[{"id":68552,"text":"University of Florida, College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":877358,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":877359,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bartoszek, Ian A.","contributorId":269426,"corporation":false,"usgs":false,"family":"Bartoszek","given":"Ian A.","affiliations":[{"id":55974,"text":"Conservancy of Southwest Florida, Naples, Florida, USA","active":true,"usgs":false}],"preferred":false,"id":877360,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Humphrey, John S.","contributorId":301068,"corporation":false,"usgs":false,"family":"Humphrey","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":877361,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kluever, Bryan M.","contributorId":257061,"corporation":false,"usgs":false,"family":"Kluever","given":"Bryan","email":"","middleInitial":"M.","affiliations":[{"id":51974,"text":"US Department of Agriculture, National Wildlife Research Center, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":877362,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stenglein, Mark D.","contributorId":212113,"corporation":false,"usgs":false,"family":"Stenglein","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":38413,"text":"Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO, USA","active":true,"usgs":false}],"preferred":false,"id":877363,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":877364,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":877365,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Wellehan, James FX.","contributorId":316306,"corporation":false,"usgs":false,"family":"Wellehan","given":"James","email":"","middleInitial":"FX.","affiliations":[{"id":68552,"text":"University of Florida, College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":877366,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Ossiboff, Robert J.","contributorId":192525,"corporation":false,"usgs":false,"family":"Ossiboff","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":877367,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70238730,"text":"70238730 - 2022 - Climate-modulated range expansion of reef-building coral communities off southeast Florida during the late Holocene","interactions":[],"lastModifiedDate":"2022-12-07T12:50:48.189461","indexId":"70238730","displayToPublicDate":"2022-12-06T06:46:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Climate-modulated range expansion of reef-building coral communities off southeast Florida during the late Holocene","docAbstract":"<div class=\"JournalAbstract\"><p>The Holocene reefs off southeast Florida provide unique insights into the biogeographical and ecological response of western Atlantic coral reefs to past climate change that can be used to evaluate future climate impacts. However, previous studies have focused on millennial-scale change during the stable mid-Holocene, making it difficult to make inferences about the impact of shorter-term variability that is relevant to modern climate warming. Using uranium-series dating of newly discovered subfossil coral rubble deposits, we establish a new high-resolution record of coral community development off southeast Florida during a period of variable climate in the late Holocene. Our results indicate that coral communities dominated by reef-building<span>&nbsp;</span><i>Acropora palmata</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Orbicella</i><span>&nbsp;</span>spp. persisted in the nearshore environments off southeast Florida ~75 km north of their primary historical ranges between ~3500 and 1800 years before present. This timing coincides with regional warming at the northern extent of the Atlantic Warm Pool, suggesting a likely link between regional oceanographic climate and the expansion of cold-sensitive reef-building coral communities to the high-latitude reefs off southeast Florida. These findings not only extend the record of coral-reef development in southeast Florida into the late Holocene, but they also have important implications for future range expansions of reef-building coral communities in response to modern climate change.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2022.995256","usgsCitation":"Modys, A.B., Olenik, A.E., Mortlock, R.A., Toth, L., and Precht, W.F., 2022, Climate-modulated range expansion of reef-building coral communities off southeast Florida during the late Holocene: Frontiers in Marine Science, v. 9, 995256, 10 p., https://doi.org/10.3389/fmars.2022.995256.","productDescription":"995256, 10 p.","ipdsId":"IP-143123","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":445708,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2022.995256","text":"Publisher Index Page"},{"id":410153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.44712094032758,\n              26.986269004281183\n            ],\n            [\n              -80.44712094032758,\n              24.922752022261463\n            ],\n            [\n              -79.72233108803808,\n              24.922752022261463\n            ],\n            [\n              -79.72233108803808,\n              26.986269004281183\n            ],\n            [\n              -80.44712094032758,\n              26.986269004281183\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2022-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Modys, Alex B.","contributorId":299717,"corporation":false,"usgs":false,"family":"Modys","given":"Alex","email":"","middleInitial":"B.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":858436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olenik, Anton E.","contributorId":260617,"corporation":false,"usgs":false,"family":"Olenik","given":"Anton","email":"","middleInitial":"E.","affiliations":[{"id":15312,"text":"Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":858437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortlock, Richard A.","contributorId":299718,"corporation":false,"usgs":false,"family":"Mortlock","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":858438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":858439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Precht, William F. 0000-0002-6546-985X","orcid":"https://orcid.org/0000-0002-6546-985X","contributorId":260614,"corporation":false,"usgs":false,"family":"Precht","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":52621,"text":"Dial Cordy & Associates, Inc.","active":true,"usgs":false}],"preferred":false,"id":858440,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237589,"text":"70237589 - 2022 - Defining the Hoek-Brown constant mi for volcanic lithologies","interactions":[],"lastModifiedDate":"2023-01-10T16:30:36.565423","indexId":"70237589","displayToPublicDate":"2022-12-05T11:49:27","publicationYear":"2022","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"displayTitle":"Defining the Hoek-Brown constant m<sub>i</sub> for volcanic lithologies","title":"Defining the Hoek-Brown constant mi for volcanic lithologies","docAbstract":"The empirical Hoek-Brown failure criterion is a well-known and commonly used failure criterion for both intact rocks and rock masses, especially in geological engineering. The intact criterion is calculated using experimental triaxial compression test results on intact samples while the rock mass criterion modifies the intact strength using quantified measures of the rock mass quality. The Hoek-Brown failure criterion includes a fitting constant for intact rocks, mi, which controls the steepness and curvature of the failure envelope, and is derived from curve-fitting the failure criterion to triaxial test data. However, because of the existence of tabulated mi values for various rock types, calculated using 1000’s of triaxial experiments, mi values are often extracted from the tables in the literature rather than the more time- and resource-intensive triaxial experiments. Using 100’s of triaxial experiments on variously altered volcanic rocks from volcanoes around the world, we demonstrate that mi varies dramatically based on a complex combination of alteration, lithology and texture, for example ranging from 2-38 for andesites. In contrast, tabulated estimates are typically given as small ranges, for example 25±5 for andesite. This means the failure criteria for volcanic rocks based on tabulated estimates could significantly over or under predict the intact strength, and thereby the rock mass strength, causing errors for stability and deformation assessments for a variety of volcanological and geological engineering purposes, from dome deformation or flank stability to excavation in volcanic rocks. In this research we not only highlight the high variability of mi for volcanic rocks, but by building on published relationships between porosity and strength, we demonstrate that it too is sensitive to porosity. We propose a number of preliminary methods to constrain mi values, including one using porosity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Rock mechanics and engineering geology in volcanic fields","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"5th International Workshop on Rock Mechanics and Engineering Geology in Volcanic Fields","conferenceDate":"September 9-10, 2021","conferenceLocation":"Fukuoka, Japan","language":"English","publisher":"CRC Press","usgsCitation":"Villeneuve, M., Heap, M.J., and Schaefer, L.N., 2022, Defining the Hoek-Brown constant mi for volcanic lithologies, <i>in</i> Rock mechanics and engineering geology in volcanic fields, Fukuoka, Japan, September 9-10, 2021, p. 261-268.","productDescription":"8 p.","startPage":"261","endPage":"268","ipdsId":"IP-135372","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":411639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409800,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/books/edit/10.1201/9781003293590/rock-mechanics-engineering-geology-volcanic-fields-takehiro-ohta-takatoshi-ito-masahiko-osada","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Villeneuve, Marlène C.","contributorId":260116,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Marlène C.","affiliations":[{"id":52510,"text":"Chair of Subsurface Engineering, Montanuniversität Leoben, Leoben, Austria","active":true,"usgs":false}],"preferred":false,"id":854543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heap, Michael J. 0000-0002-4748-735X","orcid":"https://orcid.org/0000-0002-4748-735X","contributorId":297882,"corporation":false,"usgs":false,"family":"Heap","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":64429,"text":"Université de Strasbourg","active":true,"usgs":false}],"preferred":false,"id":854544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":854545,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70246696,"text":"70246696 - 2022 - Assigning causality to events in the Holocene record of coral reefs","interactions":[],"lastModifiedDate":"2023-07-17T12:44:53.442905","indexId":"70246696","displayToPublicDate":"2022-12-05T07:43:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16303,"text":"Journal of the Geological Society of London","active":true,"publicationSubtype":{"id":10}},"title":"Assigning causality to events in the Holocene record of coral reefs","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The uncemented reef-frameworks of Pacific Panamá, which have been dominated throughout the Holocene by branching corals of the genus<span>&nbsp;</span><i>Pocillopora</i>, experienced a hiatus in vertical accretion lasting<span>&nbsp;</span><i>c.</i><span>&nbsp;</span>2300 years, beginning<span>&nbsp;</span><i>c.</i><span>&nbsp;</span>4100 years ago. The hiatus has been attributed to an increase in variability of the El Niño–Southern Oscillation (ENSO). We tested the alternative hypothesis that the hiatus was solely the result of bioerosion, assuming an acute disturbance halted coral growth 1800 years ago (the time at which reef accretion resumed after the hiatus) and that the entire framework remained in the taphonomically active zone at that time. We calculate that it would have taken 167–511 years for bioerosion to fully remove 2300 years-worth of framework growth under those circumstances. In fact, most of the reef-framework in Panamá is stabilized in sediment that prevents the activity of bioeroders; only the upper<span>&nbsp;</span><i>c.</i><span>&nbsp;</span>1 m of open framework – several decades-worth of growth at most – would have been vulnerable to erosion, greatly increasing the time required to bioerode 2300 years of accumulation. We conclude that the hiatus was not solely an artefact of bioerosion; rather, a long-term increase in ENSO variability suppressed coral growth and vertical reef accretion.</div></div></div>","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP529-2022-47","usgsCitation":"Rodriguez-Ruano, V., Toth, L., and Aronson, R.B., 2022, Assigning causality to events in the Holocene record of coral reefs: Journal of the Geological Society of London, v. 529, p. 281-292, https://doi.org/10.1144/SP529-2022-47.","productDescription":"12 p.","startPage":"281","endPage":"292","ipdsId":"IP-138413","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":419004,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"529","noUsgsAuthors":false,"publicationDate":"2022-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodriguez-Ruano, Victor","contributorId":316663,"corporation":false,"usgs":false,"family":"Rodriguez-Ruano","given":"Victor","email":"","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":878028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aronson, Richard B. 0000-0003-0383-3844","orcid":"https://orcid.org/0000-0003-0383-3844","contributorId":212695,"corporation":false,"usgs":false,"family":"Aronson","given":"Richard","email":"","middleInitial":"B.","affiliations":[{"id":17748,"text":"Florida Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":878029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70254721,"text":"70254721 - 2022 - Nonlethal tools to identify mass ovarian follicular atresia in Burbot","interactions":[],"lastModifiedDate":"2024-06-07T11:45:57.939385","indexId":"70254721","displayToPublicDate":"2022-12-05T06:42:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Nonlethal tools to identify mass ovarian follicular atresia in Burbot","docAbstract":"<div id=\"15050753\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Skipped spawning, or variation in spawning periodicity, occurs in many annual spawning fish species and is an important consideration for population management. We assessed plasma sex steroid concentrations and measured gonad size and ovarian follicle diameter as metrics to nonlethally identify mass ovarian follicular atresia, which may contribute to skipped spawning in Burbot<span>&nbsp;</span><i>Lota lota</i>. We maintained wild fish in captivity and exposed them to increasing water temperatures during a 3-wk period before the spawning season to induce mass ovarian follicular atresia. We collected ovarian follicles, blood plasma, and gonadal sonograms from fish weekly between January 28, 2018, and March 25, 2018. We histologically analyzed ovarian follicles to confirm stage of maturity. We measured concentrations of plasma sex steroids testosterone (T) and estradiol-17β (E2) by radioimmunoassay. We measured gonad diameter and circumference by ultrasonography and ovarian follicle diameter by image analysis. Mean plasma T concentration decreased from 8.94 ng/mL during late vitellogenesis to 1.83 ng/mL during atresia, suggesting that plasma T concentrations may be used to identify mass ovarian follicular atresia. We do not recommend using plasma E2 concentrations to identify mass ovarian follicular atresia because E2 concentrations rapidly decreased during the completion of vitellogenesis and the initiation of atresia in Burbot; therefore, plasma E2 may not accurately identify mass ovarian follicular atresia. Mean gonad diameter measured by ultrasonography decreased from 4.05 cm during late vitellogenesis to 3.65 cm during atresia. Mean diameter of ovarian follicles decreased during the final week of the study, suggesting that ovarian follicle diameter may be used to identify advanced mass ovarian follicular atresia. The nonlethal tools assessed—plasma sex steroid concentrations, ultrasonography, and ovarian follicle diameter—enable fisheries biologists to determine the occurrence and frequency of mass ovarian follicular atresia among Burbot in Lake Roosevelt and may be applied to other Burbot populations.</p></div>","language":"English","publisher":"Allen Press","doi":"10.3996/JFWM-22-018","usgsCitation":"McGarvey, L.M., Ilgen, J.E., Guy, C.S., McLellan, J.G., and Webb, M., 2022, Nonlethal tools to identify mass ovarian follicular atresia in Burbot: Journal of Fish and Wildlife Management, v. 13, no. 2, p. 552-561, https://doi.org/10.3996/JFWM-22-018.","productDescription":"10 p.","startPage":"552","endPage":"561","ipdsId":"IP-138975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-22-018","text":"Publisher Index Page"},{"id":429623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"McGarvey, Lauren M.","contributorId":337314,"corporation":false,"usgs":false,"family":"McGarvey","given":"Lauren","email":"","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":902344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ilgen, Jason E.","contributorId":337315,"corporation":false,"usgs":false,"family":"Ilgen","given":"Jason","email":"","middleInitial":"E.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":902346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McLellan, Jason G.","contributorId":337318,"corporation":false,"usgs":false,"family":"McLellan","given":"Jason","email":"","middleInitial":"G.","affiliations":[{"id":81010,"text":"Fish and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":902347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Molly A. H.","contributorId":337319,"corporation":false,"usgs":false,"family":"Webb","given":"Molly A. H.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902348,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263091,"text":"70263091 - 2022 - Drivers of habitat quality for a reintroduced elk herd","interactions":[],"lastModifiedDate":"2025-01-29T15:09:39.072874","indexId":"70263091","displayToPublicDate":"2022-12-05T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Drivers of habitat quality for a reintroduced elk herd","docAbstract":"<p><span>Understanding spatiotemporal variation in habitat quality is essential for guiding wildlife reintroduction and restoration programs. The habitat productivity hypothesis posits that home range size is inversely related to habitat quality. Thus, home range size may be used as a proxy for habitat quality and can identify important land cover features for a recovering species. We sought to quantify variation in home range size across the biological cycle (seasons) for a reintroduced elk (</span><i>Cervus canadensis</i><span>) population in southwestern Virginia, USA and quantify habitat quality by linking home range sizes to the land cover types they contain using linear mixed-effects models. We found mean home range size was largest during late gestation for female elk. Additionally, throughout the year, smaller home ranges were associated with larger proportions of non-forested habitats whereas forested habitats were generally the opposite. However, both presumed poor- and high-quality habitats influenced female elk space use. Our approach revealed spatial variation in habitat quality for a recovering elk herd, demonstrated the importance of non-forested habitats to elk, can guide decisions regarding the location of future elk reintroduction programs, and serve as a model for evaluating habitat quality associated with wildlife reintroductions.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-022-25058-9","usgsCitation":"Quinlan, B., Rosenberger, J., Kalb, D., Abernathy, H., Thorne, E., Ford, W., and Cherry, M., 2022, Drivers of habitat quality for a reintroduced elk herd: Scientific Reports, v. 12, 20960, 12 p., https://doi.org/10.1038/s41598-022-25058-9.","productDescription":"20960, 12 p.","ipdsId":"IP-142591","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-25058-9","text":"Publisher Index Page"},{"id":481447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"southwestern Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.81797132520401,\n              37.10392995435147\n            ],\n            [\n              -83.4791350332288,\n              36.59438261785931\n            ],\n            [\n              -80.45872432537026,\n              36.57458088905058\n            ],\n            [\n              -80.9768195014316,\n              37.315441708410084\n            ],\n            [\n              -81.71516471822216,\n              37.318178569421775\n            ],\n            [\n              -81.94847969969248,\n              37.58994839228791\n            ],\n            [\n              -82.81797132520401,\n              37.10392995435147\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2022-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinlan, Braiden A.","contributorId":350149,"corporation":false,"usgs":false,"family":"Quinlan","given":"Braiden A.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":925498,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Jacalyn P.","contributorId":350150,"corporation":false,"usgs":false,"family":"Rosenberger","given":"Jacalyn P.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":925499,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalb, David M.","contributorId":350151,"corporation":false,"usgs":false,"family":"Kalb","given":"David M.","affiliations":[{"id":39552,"text":"Rhode Island Department of Environmental Management","active":true,"usgs":false}],"preferred":false,"id":925500,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abernathy, Heather N.","contributorId":350220,"corporation":false,"usgs":false,"family":"Abernathy","given":"Heather N.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":925501,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thorne, Emily D.","contributorId":350153,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":925502,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":925503,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cherry, Michael J.","contributorId":350156,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael J.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":925504,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70240304,"text":"70240304 - 2022 - Maladaptive nest-site selection and reduced nest survival in female sage-grouse following wildfire","interactions":[],"lastModifiedDate":"2023-02-03T16:15:36.825568","indexId":"70240304","displayToPublicDate":"2022-12-04T10:09:29","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":"Maladaptive nest-site selection and reduced nest survival in female sage-grouse following wildfire","docAbstract":"<p><span>Increased wildfire frequency and associated replacement of sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) with invasive annual grasses contribute to declines of greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter, sage-grouse) populations across the Great Basin. However, little is known about wildfire effects on sage-grouse nest-site selection and nest survival, which can influence population persistence. The primary objective of this study was to evaluate the effects of the Rush Fire on sage-grouse nest survival using before (2007–2009) and after (2015–2018) data collected from a population of sage-grouse occupying the border of northeastern California and northwestern Nevada. We employed a before–after–control–impact (BACI) experimental design to account for spatiotemporal heterogeneity in the system and to derive estimates of relative change in survival parameters. Sage-grouse nest survival decreased after the Rush Fire but decreased more in the burned area relative to the unburned area. Although female sage-grouse continued to occupy burned areas, nest survival was reduced from 52% to 19%. Using a BACI ratio approach we found that nest survival decreased approximately 51% in the burned area, relative to the unburned area, following wildfire. Habitat analyses were restricted to the postfire period and found that female sage-grouse that nested within unburned areas selected for wider nesting substrate, taller perennial grass height, and greater low sagebrush canopy cover. Conversely, female sage-grouse that nested in burned areas used shorter sagebrush canopy cover than what was available across the entire study area but showed stronger selection for perennial grass height than their unburned counterparts. Strong nest-site fidelity in sage-grouse may explain the continued use of suboptimal habitat in wildfire-altered landscapes, resulting in a reproductive cost, and overall reproduction well below replacement rate. Results suggest that fire suppression or rapid postfire habitat restoration, especially within nesting habitat, may be essential to conserving robust sage-grouse populations into the future.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4282","usgsCitation":"Dudley, I.F., Coates, P.S., Prochazka, B.G., Davis, D.M., Gardner, S.C., and Delehanty, D.J., 2022, Maladaptive nest-site selection and reduced nest survival in female sage-grouse following wildfire: Ecosphere, v. 13, no. 12, e4282, 19 p., https://doi.org/10.1002/ecs2.4282.","productDescription":"e4282, 19 p.","ipdsId":"IP-120007","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4282","text":"Publisher Index Page"},{"id":412686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","county":"Lassen County, Washoe County","otherGeospatial":"Buffalo-Skedaddle Population Management Unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.94518975982814,\n              40.579947239546414\n            ],\n            [\n              -120.2542712694401,\n              40.579947239546414\n            ],\n            [\n              -120.2542712694401,\n              40.275652408838\n            ],\n            [\n              -119.94518975982814,\n              40.275652408838\n            ],\n            [\n              -119.94518975982814,\n              40.579947239546414\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Ian F.","contributorId":294783,"corporation":false,"usgs":false,"family":"Dudley","given":"Ian","email":"","middleInitial":"F.","affiliations":[{"id":56372,"text":"Stantec","active":true,"usgs":false}],"preferred":false,"id":863313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Dawn M.","contributorId":254959,"corporation":false,"usgs":false,"family":"Davis","given":"Dawn","email":"","middleInitial":"M.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":863316,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":863317,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":863318,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70243300,"text":"70243300 - 2022 - Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies","interactions":[],"lastModifiedDate":"2023-05-08T11:56:22.736279","indexId":"70243300","displayToPublicDate":"2022-12-04T06:52:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Butterflies and bees contribute significantly to grassland biodiversity and play important roles as pollinators and herbivores. Grassland conservation and management must be seen through the lens of insect conservation and management if these species are to thrive. In North America, grasslands are a product of climate and natural disturbances such as fire and grazing. These natural disturbances have changed considerably since European colonization and subsequent landscape fragmentation. The aim of this study was to better understand the impacts of fire and grazing management on butterfly and bee communities in tallgrass prairie, enabling land managers and conservationists to better protect and manage remnant prairie. We examined butterfly and bee abundance, species richness, and diversity in Minnesota tallgrass prairies managed by grazing or fire. In 2016 and 2017, we surveyed butterflies, bees, vegetation, and surrounding land use at 20 remnant prairies (10 burned and 10 grazed) with known management histories. Butterfly and bee abundance at our study sites were significantly negatively correlated. Butterfly abundance, but not species richness, was higher in burned than grazed prairies, and prairie-associated grass-feeding butterflies were more abundant at sites with higher plant species richness. Bee abundance was unrelated to management type but was higher at sites with sandier soils; bee species richness was positively associated with forb frequency. These findings highlight the challenges of designing management plans tailored to wide groups of pollinators and the potential pitfalls of using one group of pollinators as indicators for another. They also point to the importance of a mosaic of management practices across the prairie landscape.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9532","usgsCitation":"Leone, J.B., Pennarola, N.P., Larson, J., Oberhauser, K., and Larson, D., 2022, Divergent responses of butterflies and bees to burning and grazing management in tallgrass prairies: Ecology and Evolution, v. 12, no. 12, e9532, 32 p., https://doi.org/10.1002/ece3.9532.","productDescription":"e9532, 32 p.","ipdsId":"IP-124498","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":445717,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9532","text":"Publisher Index Page"},{"id":416801,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.42587878349188,\n              43.50122649410929\n            ],\n            [\n              -92.46980520060302,\n              43.819068952258306\n            ],\n            [\n              -93.01888541449156,\n              44.19813376902931\n            ],\n            [\n              -94.05115621660198,\n              44.84018463954041\n            ],\n            [\n              -94.4684571791577,\n              45.04228562902125\n            ],\n            [\n              -95.08342701871238,\n              45.6289381740921\n            ],\n            [\n              -95.43483835560139,\n              46.05738039426899\n            ],\n            [\n              -95.85213931815657,\n              46.85923603684219\n            ],\n            [\n              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B.","contributorId":216121,"corporation":false,"usgs":false,"family":"Leone","given":"Julia","email":"","middleInitial":"B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":871945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennarola, Nora P.","contributorId":239528,"corporation":false,"usgs":false,"family":"Pennarola","given":"Nora","email":"","middleInitial":"P.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":871946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Jennifer 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":216120,"corporation":false,"usgs":true,"family":"Larson","given":"Jennifer","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oberhauser, Karen","contributorId":231063,"corporation":false,"usgs":false,"family":"Oberhauser","given":"Karen","affiliations":[{"id":42832,"text":"Univ of Minnesota","active":true,"usgs":false}],"preferred":false,"id":871948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256601,"text":"70256601 - 2022 - As the goose flies: Migration routes and timing influence patterns of genetic diversity in a circumpolar migratory herbivore","interactions":[],"lastModifiedDate":"2024-08-23T16:24:30.976426","indexId":"70256601","displayToPublicDate":"2022-12-03T11:08:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"As the goose flies: Migration routes and timing influence patterns of genetic diversity in a circumpolar migratory herbivore","docAbstract":"<p><span>Migration schedules and the timing of other annual events (e.g., pair formation and molt) can affect the distribution of genetic diversity as much as where these events occur. The greater white-fronted goose (</span><i><span class=\"html-italic\">Anser albifrons</span></i><span>) is a circumpolar goose species, exhibiting temporal and spatial variation of events among populations during the annual cycle. Previous range-wide genetic assessments of the nuclear genome based on eight microsatellite loci suggest a single, largely panmictic population despite up to five subspecies currently recognized based on phenotypic differences. We used double digest restriction-site associated DNA (ddRAD-seq) and mitochondrial DNA (mtDNA) sequence data to re-evaluate estimates of spatial genomic structure and to characterize how past and present processes have shaped the patterns of genetic diversity and connectivity across the Arctic and subarctic. We uncovered previously undetected inter-population differentiation with genetic clusters corresponding to sampling locales associated with current management groups. We further observed subtle genetic clustering within each management unit that can be at least partially explained by the timing and directionality of migration events along with other behaviors during the annual cycle. The Tule Goose (</span><i><span class=\"html-italic\">A. a. elgasi</span></i><span>) and Greenland subspecies (</span><i><span class=\"html-italic\">A. a. flavirostris</span></i><span>) showed the highest level of divergence among all sampling locales investigated. The recovery of previously undetected broad and fine-scale spatial structure suggests that the strong cultural transmission of migratory behavior restricts gene flow across portions of the species’ range. Our data further highlight the importance of re-evaluating previous assessments conducted based on a small number of highly variable genetic markers in phenotypically diverse species.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/d14121067","usgsCitation":"Wilson, R., Sonsthagen, S.A., DaCost, J.M., Sorenson, M., Fox, A., Weaver, M., Skalos, D., Kondratyev, A., Scribner, K., Walsh, A., Ely, C.R., and Talbot, S.L., 2022, As the goose flies: Migration routes and timing influence patterns of genetic diversity in a circumpolar migratory herbivore: Diversity, v. 14, no. 12, 1067, 23 p., https://doi.org/10.3390/d14121067.","productDescription":"1067, 23 p.","ipdsId":"IP-145453","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":445720,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d14121067","text":"Publisher Index Page"},{"id":433109,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, Russia, United States","otherGeospatial":"Circumpolar Arctic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.9,\n              73.8\n            ],\n            [\n              -179.9,\n              55\n            ],\n            [\n              -44.563059444221864,\n              55\n            ],\n            [\n              -44.563059444221864,\n              73.8\n            ],\n            [\n              -179.9,\n              73.8\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              36.467721150184104,\n              73.8\n            ],\n            [\n              36.467721150184104,\n              60\n            ],\n            [\n              179.9,\n              60\n            ],\n            [\n              179.9,\n              73.8\n            ],\n            [\n              36.467721150184104,\n              73.8\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Robert E.","contributorId":341321,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert E.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":908234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","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":908235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DaCost, Jeffrey M.","contributorId":341322,"corporation":false,"usgs":false,"family":"DaCost","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[{"id":13422,"text":"Boston College","active":true,"usgs":false}],"preferred":false,"id":908236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sorenson, Michael D.","contributorId":341323,"corporation":false,"usgs":false,"family":"Sorenson","given":"Michael D.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":908237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fox, Anthony D.","contributorId":341324,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony D.","affiliations":[{"id":81724,"text":"Aarhus University, Kalø, Denmark","active":true,"usgs":false}],"preferred":false,"id":908238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weaver, Melanie","contributorId":341325,"corporation":false,"usgs":false,"family":"Weaver","given":"Melanie","affiliations":[{"id":81725,"text":"California Department of Fish and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":908239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skalos, Dan","contributorId":341326,"corporation":false,"usgs":false,"family":"Skalos","given":"Dan","email":"","affiliations":[{"id":81725,"text":"California Department of Fish and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":908240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kondratyev, Alexander V.","contributorId":341327,"corporation":false,"usgs":false,"family":"Kondratyev","given":"Alexander V.","affiliations":[{"id":81726,"text":"Institute of Biological Problems of the North, FEB RAS, Magadan","active":true,"usgs":false}],"preferred":false,"id":908241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scribner, Kim T.","contributorId":341328,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":908242,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Walsh, Alyn","contributorId":341329,"corporation":false,"usgs":false,"family":"Walsh","given":"Alyn","email":"","affiliations":[{"id":81727,"text":"National Parks and Wildlife Services, Ireland","active":true,"usgs":false}],"preferred":false,"id":908243,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":908244,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Talbot, Sandra L.","contributorId":341330,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra","email":"","middleInitial":"L.","affiliations":[{"id":63248,"text":"Far Northwestern Institute of Art and Science","active":true,"usgs":false}],"preferred":false,"id":908245,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70238881,"text":"70238881 - 2022 - Optimizing Landsat Next shortwave infrared bands for crop residue characterization","interactions":[],"lastModifiedDate":"2022-12-15T13:48:36.566374","indexId":"70238881","displayToPublicDate":"2022-12-03T07:44:55","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing Landsat Next shortwave infrared bands for crop residue characterization","docAbstract":"<p><span>This study focused on optimizing the placement of shortwave infrared (SWIR) bands for pixel-level estimation of fractional crop residue cover (</span><span class=\"html-italic\">f</span><sub>R</sub><span>) for the upcoming Landsat Next mission. We applied an iterative wavelength shift approach to a database of crop residue field spectra collected in Beltsville, Maryland, USA (n = 916) and computed generalized two- and three-band spectral indices for all wavelength combinations between 2000 and 2350 nm, then used these indices to model field-measured&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>. A subset of the full dataset with a Normalized Difference Vegetation Index (NDVI) &lt; 0.3 threshold (n = 643) was generated to evaluate green vegetation impacts on&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>&nbsp;estimation. For the two-band wavelength shift analyses applied to the NDVI &lt; 0.3 dataset, a generalized normalized difference using 2226 nm and 2263 nm bands produced the top&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>&nbsp;estimation performance (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.8222;&nbsp;</span><span class=\"html-italic\">RMSE</span><span>&nbsp;= 0.1296). These findings were similar to the established two-band Shortwave Infrared Normalized Difference Residue Index (SINDRI) (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.8145;&nbsp;</span><span class=\"html-italic\">RMSE</span><span>&nbsp;= 0.1324). Performance of the two-band generalized normalized difference and SINDRI decreased for the full-NDVI dataset (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.5865 and 0.4144, respectively). For the three-band wavelength shift analyses applied to the NDVI &lt; 0.3 dataset, a generalized ratio-based index with a 2031–2085–2216 nm band combination, closely matching established Cellulose Absorption Index (CAI) bands, was top performing (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.8397;&nbsp;</span><span class=\"html-italic\">RMSE</span><span>&nbsp;= 0.1231). Three-band indices with CAI-type wavelengths maintained top&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>&nbsp;estimation performance for the full-NDVI dataset with a 2036–2111–2217 nm band combination (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.7581;&nbsp;</span><span class=\"html-italic\">RMSE</span><span>&nbsp;= 0.1548). The 2036–2111–2217 nm band combination was also top performing in&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>&nbsp;estimation (</span><span class=\"html-italic\">R</span><sup>2</sup><span>&nbsp;= 0.8690;&nbsp;</span><span class=\"html-italic\">RMSE</span><span>&nbsp;= 0.0970) for an additional analysis assessing combined green vegetation cover and surface moisture effects. Our results indicate that a three-band configuration with band centers and wavelength tolerances of 2036 nm (±5 nm), 2097 nm (±14 nm), and 2214 (±11 nm) would optimize Landsat Next SWIR bands for&nbsp;</span><span class=\"html-italic\">f</span><sub>R</sub><span>&nbsp;estimation.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs14236128","usgsCitation":"Lamb, B.T., Dennison, P., Hively, W.D., Kokaly, R.F., Serbin, G., Wu, Z., Dabney, P.W., Masek, J.G., Campbell, M., and Daughtry, C.S., 2022, Optimizing Landsat Next shortwave infrared bands for crop residue characterization: Remote Sensing, v. 14, no. 23, 6128, 29 p., https://doi.org/10.3390/rs14236128.","productDescription":"6128, 29 p.","ipdsId":"IP-144753","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":445721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14236128","text":"Publisher Index Page"},{"id":410537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"23","noUsgsAuthors":false,"publicationDate":"2022-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Brian T. 0000-0001-7957-5488","orcid":"https://orcid.org/0000-0001-7957-5488","contributorId":291893,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dennison, Phillip 0000-0002-0241-1917","orcid":"https://orcid.org/0000-0002-0241-1917","contributorId":266031,"corporation":false,"usgs":false,"family":"Dennison","given":"Phillip","email":"","affiliations":[{"id":54865,"text":"Dept. Geography, Utah State University","active":true,"usgs":false}],"preferred":false,"id":859053,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":859055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Serbin, Guy 0000-0001-9345-1772","orcid":"https://orcid.org/0000-0001-9345-1772","contributorId":266030,"corporation":false,"usgs":false,"family":"Serbin","given":"Guy","email":"","affiliations":[{"id":54864,"text":"EOAnalytics","active":true,"usgs":false}],"preferred":false,"id":859056,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wu, Zhuoting 0000-0001-7393-1832 zwu@usgs.gov","orcid":"https://orcid.org/0000-0001-7393-1832","contributorId":4953,"corporation":false,"usgs":true,"family":"Wu","given":"Zhuoting","email":"zwu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":498,"text":"Office of Land Remote Sensing (Geography)","active":true,"usgs":true}],"preferred":true,"id":859057,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dabney, Philip W.","contributorId":214572,"corporation":false,"usgs":false,"family":"Dabney","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":859058,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Masek, Jeffery G.","contributorId":294418,"corporation":false,"usgs":false,"family":"Masek","given":"Jeffery","email":"","middleInitial":"G.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":859059,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Campbell, Michael","contributorId":299937,"corporation":false,"usgs":false,"family":"Campbell","given":"Michael","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":859060,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Daughtry, Craig S. T.","contributorId":211093,"corporation":false,"usgs":false,"family":"Daughtry","given":"Craig","email":"","middleInitial":"S. T.","affiliations":[{"id":38179,"text":"USDA Agricultural Research Service, Hydrology and Remote Sensing Laboratory","active":true,"usgs":false}],"preferred":false,"id":859061,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70271307,"text":"70271307 - 2022 - Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits","interactions":[],"lastModifiedDate":"2025-09-08T14:03:52.052483","indexId":"70271307","displayToPublicDate":"2022-12-03T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits","docAbstract":"<p><span>The North Australian Zinc Belt is the largest zinc-lead province in the world, containing three of the ten largest known individual deposits (HYC, Hilton-George Fisher, and Mount Isa). The Northern Cordillera in North America is the second largest zinc-lead province, containing a further two of the world’s top ten deposits (Red Dog and Howards Pass). Despite this world-class endowment, exploration in both mineral provinces during the past 2 decades has not been particularly successful, yielding only two significant discoveries (Teena, Australia, and Boundary, Canada). One of the most important aspects of exploration is to choose mineral provinces and districts within geological belts that have the greatest potential for discovery. Here, we present results from these two zinc belts that highlight previously unused datasets for area selection and targeting. Lead isotope mapping using analyses of mineralized material has identified gradients in μ (</span><sup>238</sup><span>U/</span><sup>204</sup><span>Pb) that coincide closely with many major deposits. Locations of these deposits also coincide with a gradient in the depth of the lithosphere-asthenosphere boundary determined from calibrated surface wave tomography models converted to temperature. Furthermore, gradients in upward-continued gravity anomalies and a step in Moho depth correspond to a pre-existing major crustal boundary in both zinc belts. A spatial association of deposits with a linear mid- to lower-crustal resistivity anomaly from magnetotelluric data is also observed in the North Australian Zinc Belt. The change from thicker to thinner lithosphere is interpreted to localize prospective basins for zinc-lead mineralization and to control the gradient in lead isotope and geophysical data. These data, when combined with data indicative of paleoenvironment and changes in plate motion at the time of mineralization, provide new exploration criteria that can be used to identify prospective mineralized basins and define the most favorable parts of these basins.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00126-022-01153-9","usgsCitation":"Huston, D.L., Champion, D.C., Czarnota, K., Duan, J., Hutchens, M., Paradis, S., Hoggard, M., Ware, B., Gibson, G.M., Doublier, M.P., Kelley, K.D., McCafferty, A.E., Hayward, N., Richards, F., Tessalina, S., and Carr, G., 2022, Zinc on the edge—Isotopic and geophysical evidence that cratonic edges control world-class shale-hosted zinc-lead deposits: Mineralium Deposita, v. 58, p. 707-729, https://doi.org/10.1007/s00126-022-01153-9.","productDescription":"23  p.","startPage":"707","endPage":"729","ipdsId":"IP-135613","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":495149,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495180,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-022-01153-9","text":"Publisher Index Page"}],"country":"Australia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              134.27421209840645,\n              -14.569058942329349\n            ],\n            [\n              134.27421209840645,\n              -25.53495369611406\n            ],\n            [\n              142.46091725232395,\n              -25.53495369611406\n            ],\n            [\n              142.46091725232395,\n              -14.569058942329349\n            ],\n            [\n              134.27421209840645,\n              -14.569058942329349\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"58","noUsgsAuthors":false,"publicationDate":"2022-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Huston, David L. 0000-0002-1740-6336","orcid":"https://orcid.org/0000-0002-1740-6336","contributorId":328600,"corporation":false,"usgs":false,"family":"Huston","given":"David","middleInitial":"L.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":947910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champion, David C.","contributorId":360913,"corporation":false,"usgs":false,"family":"Champion","given":"David","middleInitial":"C.","affiliations":[],"preferred":false,"id":947911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czarnota, Karol","contributorId":328604,"corporation":false,"usgs":false,"family":"Czarnota","given":"Karol","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":947912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duan, Jingming","contributorId":360914,"corporation":false,"usgs":false,"family":"Duan","given":"Jingming","affiliations":[],"preferred":false,"id":947913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hutchens, Matthew","contributorId":360915,"corporation":false,"usgs":false,"family":"Hutchens","given":"Matthew","affiliations":[],"preferred":false,"id":947914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paradis, Suzanne","contributorId":360916,"corporation":false,"usgs":false,"family":"Paradis","given":"Suzanne","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":947915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoggard, Mark","contributorId":360917,"corporation":false,"usgs":false,"family":"Hoggard","given":"Mark","affiliations":[],"preferred":false,"id":947916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ware, Bryant","contributorId":360918,"corporation":false,"usgs":false,"family":"Ware","given":"Bryant","affiliations":[],"preferred":false,"id":947917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gibson, George M.","contributorId":360924,"corporation":false,"usgs":false,"family":"Gibson","given":"George","middleInitial":"M.","affiliations":[{"id":27305,"text":"Australia National University","active":true,"usgs":false}],"preferred":false,"id":947926,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doublier, Michael P.","contributorId":360920,"corporation":false,"usgs":false,"family":"Doublier","given":"Michael","middleInitial":"P.","affiliations":[],"preferred":false,"id":947919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":947920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"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":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":947921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hayward, Nathan","contributorId":201439,"corporation":false,"usgs":false,"family":"Hayward","given":"Nathan","affiliations":[],"preferred":false,"id":947922,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Richards, Fred","contributorId":360921,"corporation":false,"usgs":false,"family":"Richards","given":"Fred","affiliations":[],"preferred":false,"id":947923,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tessalina, Svetlana","contributorId":360922,"corporation":false,"usgs":false,"family":"Tessalina","given":"Svetlana","affiliations":[],"preferred":false,"id":947924,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Carr, Graham","contributorId":360923,"corporation":false,"usgs":false,"family":"Carr","given":"Graham","affiliations":[],"preferred":false,"id":947925,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70238667,"text":"ofr20221100 - 2022 - Verification of multiple phosphorus analyzers for use in surface-water applications","interactions":[],"lastModifiedDate":"2026-03-30T20:49:48.631242","indexId":"ofr20221100","displayToPublicDate":"2022-12-02T13:49:32","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":"2022-1100","displayTitle":"Verification of Multiple Phosphorus Analyzers for Use in Surface-Water Applications","title":"Verification of multiple phosphorus analyzers for use in surface-water applications","docAbstract":"<p>The U.S. Geological Survey (USGS) completed a verification study of selected commercially available phosphorus analyzers for their applicability to scientific surface-water applications. In this study, the analyzers were the Hach EZ7800 TOPHO, Hach Phosphax sc, Sea-Bird Scientific HydroCycle-PO<sub>4</sub>, and the YSI Inc. Alyza IQ PO4. Verification tests included laboratory trials comparing analyzer results to known standards with several known concentrations of dissolved organic matter and waste production estimates. Field trials were completed at the Vermilion River near Danville, Illinois (U.S. Geological Survey station 03339000), where analyzer-measured concentrations were compared against discrete samples across a wide range of environmental conditions from November 2020 to August 2021. Data coverage was closely tracked for analyzer malfunctions and operator errors that caused missing data. Laboratory and field trials indicated that each analyzer is a viable option for scientific surface-water studies depending on environmental conditions. Because of the complexity of the analyzers, a substantial time investiture was required to get maximum data coverage including considerable site infrastructure investments and well-trained technicians. Data coverage was closely related to each analyzer’s ability to handle elevated turbidity levels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221100","collaboration":"Prepared in cooperation with the Next Generation Water Observing System","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Peake, C.S., 2022, Verification of multiple phosphorus analyzers for use in surface-water applications: U.S. Geological Survey Open-File Report 2022–1100, 23 p., https://doi.org/10.3133/ofr20221100.","productDescription":"Report: viii, 23 p.; Dataset","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-139337","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":410009,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221100/full","text":"Report"},{"id":409997,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1100/ofr20221100.XML"},{"id":409995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1100/coverthb.jpg"},{"id":501839,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113882.htm","linkFileType":{"id":5,"text":"html"}},{"id":409998,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1100/images"},{"id":409996,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1100/ofr20221100.pdf","text":"Report","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022–1100"},{"id":409999,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Illinois, Indiana","otherGeospatial":"Vermilion River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.41449158849616,\n              39.979211528524246\n            ],\n            [\n              -87.41449158849616,\n              40.79889755055865\n            ],\n            [\n              -88.38087805821512,\n              40.79889755055865\n            ],\n            [\n              -88.38087805821512,\n              39.979211528524246\n            ],\n            [\n              -87.41449158849616,\n              39.979211528524246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a> <br>U.S. Geological Survey<br>405 North Goodwin <br>Urbana, IL 61801</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>Purpose and Scope</li><li>Analyzer Specifications</li><li>Site Description</li><li>Methods</li><li>Laboratory Verification Results</li><li>Field Verification Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Laboratory Standard Values</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2022-12-02","noUsgsAuthors":false,"publicationDate":"2022-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Peake, Colin S. 0000-0001-9712-1623","orcid":"https://orcid.org/0000-0001-9712-1623","contributorId":268354,"corporation":false,"usgs":true,"family":"Peake","given":"Colin","email":"","middleInitial":"S.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858230,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238668,"text":"ofr20221080 - 2022 - Summary of extreme water-quality conditions in Upper Klamath Lake, Oregon, 2005–19","interactions":[],"lastModifiedDate":"2026-03-30T20:36:11.952009","indexId":"ofr20221080","displayToPublicDate":"2022-12-02T13:21:26","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":"2022-1080","displayTitle":"Summary of Extreme Water-Quality Conditions in Upper Klamath Lake, Oregon, 2005–19","title":"Summary of extreme water-quality conditions in Upper Klamath Lake, Oregon, 2005–19","docAbstract":"<p class=\"p1\">This study used the complete set of continuous water-quality (WQ) data and discrete measurements of total ammonia collected by the U.S. Geological Survey from 2005 to 2019 at the four core sites in Upper Klamath Lake, Oregon, to examine relations between variables and extreme conditions that may be harmful for endemic Lost River suckers (<i>Deltistes luxatus</i>) and shortnose suckers (<i>Chasmistes brevirostris</i>). Several graphical and tabular approaches were used to compare variables, sites, and years to better understand the factors contributing to and timing of extreme WQ in the lake. Extreme WQ thresholds were defined as the 1st or 99th percentiles of the daily average dataset of water temperature, pH, and dissolved oxygen (DO) concentration, and the weekly estimated un-ionized ammonia (NH<sub><span class=\"s1\">3</span></sub>) from 2005 to 2019. Extreme WQ days were defined as those when at least 12 hours of measurements exceeded the extreme WQ threshold. The core site at Mid-Trench, which was also the deepest measurement site with a full-pool depth of 15 meters and at which water-quality sondes were deployed at the top and bottom of the water column, had the most extreme conditions of high water temperature, low DO, and high NH<sub><span class=\"s1\">3</span></sub>. The upper sonde at Mid-Trench represented 40 percent of all days of extremely high water temperature (days with at least 12 hours exceeding 24.38 degrees Celsius) in the lake and 71 percent of all weekly estimates of extremely high NH<sub><span class=\"s1\">3 </span></sub>(greater than 264 micrograms per liter) in the lake. The lower sonde at Mid-Trench represented 85 percent of all days of extremely low DO (days with at least 12 hours of DO concentrations less than 1.76 milligrams per liter) in the lake. In each of the study years, poor water quality at Mid-Trench, as represented by several metrics, lasted for multiple days. The shallowest site at the Williamson River outlet represented 54 percent of all days of extremely high pH (days with at least 12 hours of pH measurements exceeding 10.04) in the lake. The seasonality of extreme WQ during the summer sampling period (limited to June through September) was evaluated and most days of extremely high water temperature (83 percent) and extremely high pH (54 percent) occurred in July, whereas most days of extremely low DO (57 percent) and extremely high NH<sub><span class=\"s1\">3 </span></sub>(57 percent) occurred in August. The years with the most days of extreme WQ accumulated for all variables (high water temperature, low DO, high pH, and high NH<sub><span class=\"s1\">3</span></sub>) were 2012–15 and 2017, which all occurred in the latter half of the study period. The years with the fewest accumulated days of extreme WQ were 2010 and 2011.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221080","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Wherry, S.A., 2022, Summary of extreme water-quality conditions in Upper Klamath Lake, Oregon, 2005–19: U.S. Geological Survey Open-File Report 2022–1080, 29 p., https://doi.org/10.3133/ofr20221080.","productDescription":"vii, 29 p.","onlineOnly":"Y","ipdsId":"IP-128098","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":501831,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113883.htm","linkFileType":{"id":5,"text":"html"}},{"id":410005,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1080/ofr20221080.XML"},{"id":410002,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1080/ofr20221080.pdf","text":"Report","size":"6.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1080"},{"id":410001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1080/coverthb.jpg"},{"id":410004,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1080/images"},{"id":410003,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221080/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1080"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.11865576927013,\n              42.623699726465674\n            ],\n            [\n              -122.11865576927013,\n              42.185824493728575\n            ],\n            [\n              -121.73017939010751,\n              42.185824493728575\n            ],\n            [\n              -121.73017939010751,\n              42.623699726465674\n            ],\n            [\n              -122.11865576927013,\n              42.623699726465674\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>2130 SW 5th Avenue<br>Portland, Oregon 97201</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Findings</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishedDate":"2022-12-02","noUsgsAuthors":false,"publicationDate":"2022-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Wherry, Susan A. 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":4952,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":858231,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238785,"text":"70238785 - 2022 - BIA branch of tribal climate resilience regional assessment report","interactions":[],"lastModifiedDate":"2022-12-12T15:38:22.405397","indexId":"70238785","displayToPublicDate":"2022-12-02T09:16:34","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":12977,"text":"Regional Assessment Report","active":true,"publicationSubtype":{"id":1}},"title":"BIA branch of tribal climate resilience regional assessment report","docAbstract":"<p>The Bureau of Indian Affairs (BIA) Branch of Tribal Climate Resilience (TCR) was established in 2011 to enable Tribal and BIA Office of Trust Services Programs to incorporate climate considerations into their programs' planning and decision-making. The TCR’s purpose is to fulfill trust responsibility to Federally recognized Tribal Nations by supporting and building Tribal capacity for climate resilience efforts through both technical and financial assistance. That financial assistance includes the TCR Annual Awards Program in which over 700 awards have been distributed totaling more than $74 million as of September 24th, 2021. The TCR has funded over 250 adaptation plans and vulnerability and risk assessments over the last 11 years. Tribes can leverage TCR programs to further support their existing operations, program planning, project design, as well as incorporate Indigenous and Traditional Knowledges into their management and protection of Trust resources and Tribal economies.</p><p> Due to the availability of TCR awards and other funding, many Tribes now have climate adaptation plans. Thus, both TCR and Tribes are at a new stage compared to a decade ago and have new needs related to implementation of climate adaptation and resiliency projects. This assessment aims to evaluate the effectiveness of TCR’s Annual Awards Program and technical assistance and incorporate direct Tribal input to meet Tribal needs and priorities. To provide more effective assistance to Tribal communities moving forward; BIA staff, in partnership with staff from the United States Geological Survey (USGS), interviewed 16 Tribal employees to gather their feedback on their approaches to climate adaptation as well as their experiences with TCR services. This report aims to summarize guidance from participating Tribes to inform future changes to BIA TCR.</p>","language":"English","publisher":"Bureau of Indian Affairs","usgsCitation":"Avery, C., Carroll, C., and Rangel, L.M., 2022, BIA branch of tribal climate resilience regional assessment report: Regional Assessment Report, 33 p.","productDescription":"33 p.","ipdsId":"IP-147228","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":410284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":410267,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.bia.gov/news/bia-tcr-regional-assessment-report"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          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,{"id":70238880,"text":"70238880 - 2022 - GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions","interactions":[],"lastModifiedDate":"2022-12-15T13:54:31.86052","indexId":"70238880","displayToPublicDate":"2022-12-02T07:49:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions","docAbstract":"<p><span>The Chesapeake Bay is a region along the eastern coast of the United States where sea-level rise is confounded with poorly resolved rates of land subsidence, thus new constraints on vertical land motions (VLM) in the region are warranted. In this paper, we provide a description of two campaign-style Global Positioning System (GPS) datasets, explain the methods used in data collection and validation, and present the experiment designed to quantify a new baseline of VLM in the Chesapeake Bay region of eastern North America. Data from GPS campaigns in 2019 and 2020 are presented as ASCII RINEX2.11 files and logsheets for each observation from the campaigns. Data were quality checked using the open-source program TEQC, resulting in average multipath 1 and 2 values of 0.68 and 0.57, respectively. All data are archived and publicly available for open access at the geodesy facility UNAVCO to abide by Findable, Accessible, Interoperable, Reusable (FAIR) data principles.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41597-022-01864-8","usgsCitation":"Troia, G., Stamps, S., Lotspeich, R., Duda, J.M., McCoy, K., Moore, W., Hensel, P., Hippenstiel, R., McKenna, T., Andreasen, D.C., Geoghegan, C., Ulizo, T.P., Kronebusch, M., Carr, J., Walters, D., and Winn, N., 2022, GPS data from 2019 and 2020 campaigns in the Chesapeake Bay region towards quantifying vertical land motions: Scientific Data, v. 9, no. 1, 744, 9 p., https://doi.org/10.1038/s41597-022-01864-8.","productDescription":"744, 9 p.","ipdsId":"IP-122566","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":445723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-022-01864-8","text":"Publisher Index Page"},{"id":410538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.29568067904435,\n              40.12967557474843\n            ],\n            [\n              -77.29568067904435,\n              36.768971760646394\n            ],\n            [\n              -75.43832592966815,\n              36.768971760646394\n            ],\n            [\n              -75.43832592966815,\n              40.12967557474843\n            ],\n            [\n              -77.29568067904435,\n              40.12967557474843\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Troia, Gabrielle 0000-0001-6566-4623","orcid":"https://orcid.org/0000-0001-6566-4623","contributorId":299921,"corporation":false,"usgs":false,"family":"Troia","given":"Gabrielle","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":859036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamps, Sarah 0000-0002-3531-1752","orcid":"https://orcid.org/0000-0002-3531-1752","contributorId":299923,"corporation":false,"usgs":false,"family":"Stamps","given":"Sarah","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":859037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lotspeich, R. 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,{"id":70238672,"text":"70238672 - 2022 - Giant planet observations in NASA's Planetary Data System","interactions":[],"lastModifiedDate":"2022-12-05T13:09:44.103743","indexId":"70238672","displayToPublicDate":"2022-12-02T07:05:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Giant planet observations in NASA's Planetary Data System","docAbstract":"<p><span>While there have been far fewer missions to the outer Solar System than to the inner Solar System, spacecraft destined for the giant planets have conducted a wide range of fundamental investigations, returning data that continues to reshape our understanding of these complex systems, sometimes decades after the data were acquired. These data are preserved and accessible from national and international planetary science archives. For all NASA planetary missions and instruments the data are available from the science discipline nodes of the NASA Planetary Data System (PDS). Looking ahead, the PDS will be the primary repository for giant planets data from several upcoming missions and derived datasets, as well as supporting research conducted to aid in the interpretation of the remotely sensed giant planets data already archived in the PDS.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs14236112","usgsCitation":"Chanover, N.J., Bauer, J.M., Blalock, J.J., Gordon, M.K., Huber, L.F., Mace, M.J., Neakrase, L., Tiscareno, M.S., and Walker, R.J., 2022, Giant planet observations in NASA's Planetary Data System: Remote Sensing, v. 14, no. 23, 6112, 26 p., https://doi.org/10.3390/rs14236112.","productDescription":"6112, 26 p.","ipdsId":"IP-145743","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":445726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14236112","text":"Publisher Index Page"},{"id":410048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Jupiter, Neptune, Saturn, Uranus","volume":"14","issue":"23","noUsgsAuthors":false,"publicationDate":"2022-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Chanover, Nancy J. 0000-0002-9984-4670","orcid":"https://orcid.org/0000-0002-9984-4670","contributorId":299617,"corporation":false,"usgs":false,"family":"Chanover","given":"Nancy","email":"","middleInitial":"J.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":858234,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bauer, James M. 0000-0001-9542-0953","orcid":"https://orcid.org/0000-0001-9542-0953","contributorId":299619,"corporation":false,"usgs":false,"family":"Bauer","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":858235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blalock, John Joe Jeremiah 0000-0002-7460-1074","orcid":"https://orcid.org/0000-0002-7460-1074","contributorId":299621,"corporation":false,"usgs":true,"family":"Blalock","given":"John","email":"","middleInitial":"Joe Jeremiah","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":858236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Mitchell K. 0000-0003-0985-2800","orcid":"https://orcid.org/0000-0003-0985-2800","contributorId":299625,"corporation":false,"usgs":false,"family":"Gordon","given":"Mitchell","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":858237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huber, Lyle F. 0000-0002-1232-1982","orcid":"https://orcid.org/0000-0002-1232-1982","contributorId":299628,"corporation":false,"usgs":false,"family":"Huber","given":"Lyle","email":"","middleInitial":"F.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":858238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mace, Mia J. T. 0000-0002-9905-816X","orcid":"https://orcid.org/0000-0002-9905-816X","contributorId":299631,"corporation":false,"usgs":false,"family":"Mace","given":"Mia","email":"","middleInitial":"J. T.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":858239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neakrase, Lynn D. V.","contributorId":299634,"corporation":false,"usgs":false,"family":"Neakrase","given":"Lynn D. V.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":858240,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tiscareno, Matthew S. 0000-0002-2736-3667","orcid":"https://orcid.org/0000-0002-2736-3667","contributorId":299637,"corporation":false,"usgs":false,"family":"Tiscareno","given":"Matthew","email":"","middleInitial":"S.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":858241,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walker, Raymond J. 0000-0002-5092-5699","orcid":"https://orcid.org/0000-0002-5092-5699","contributorId":299640,"corporation":false,"usgs":false,"family":"Walker","given":"Raymond","email":"","middleInitial":"J.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":858242,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70240837,"text":"70240837 - 2022 - Analog field-scale acoustic study of volcanic eruption directivity using a tiltable liquid nitrogen-charged water cannon","interactions":[],"lastModifiedDate":"2023-02-24T13:00:00.092972","indexId":"70240837","displayToPublicDate":"2022-12-02T06:57:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1430,"text":"Earth, Planets and Space","active":true,"publicationSubtype":{"id":10}},"title":"Analog field-scale acoustic study of volcanic eruption directivity using a tiltable liquid nitrogen-charged water cannon","docAbstract":"<p>Laterally directed explosive eruptions are responsible for multiple fatalities over the past decade and are an increasingly important volcanology problem. To understand the energy dynamics for these events, we collected field-scale explosion data from nine acoustic sensors surrounding a tiltable cannon as part of an exploratory experimental design. For each cannon discharge, the blast direction was varied systematically at 0°, 12°, and 24° from vertical, capturing acoustic wavefield directivity related to the tilt angle. While each event was similar in energy discharge potential, the resulting acoustic signal features were variable event-to-event, producing non-repetitious waveforms and spectra. Systematic features were observed in a subset of individual events for vertical and lateral discharges. For vertical discharges, the acoustic energy had a uniform radiation pattern. The lateral discharges showed an asymmetric radiation pattern with higher frequencies in the direction of the blast and depletion of those frequencies behind the cannon. Results suggest that, in natural volcanic systems, near-field blast directionality may be elucidated from acoustic sensors in absence of visual data, with implications for volcano monitoring and hazard assessment.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40623-022-01732-0","usgsCitation":"Jolly, A., Kennedy, B., Matoza, R.S., Iezzi, A., Christensen, B.W., Johnson, R., Sork, A., and Fee, D., 2022, Analog field-scale acoustic study of volcanic eruption directivity using a tiltable liquid nitrogen-charged water cannon: Earth, Planets and Space, v. 74, 177, 16 p., https://doi.org/10.1186/s40623-022-01732-0.","productDescription":"177, 16 p.","ipdsId":"IP-138530","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40623-022-01732-0","text":"Publisher Index Page"},{"id":413396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","noUsgsAuthors":false,"publicationDate":"2022-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Jolly, A.D. 0000-0003-1020-9062","orcid":"https://orcid.org/0000-0003-1020-9062","contributorId":296487,"corporation":false,"usgs":true,"family":"Jolly","given":"A.D.","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":865016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Benjamin","contributorId":302666,"corporation":false,"usgs":false,"family":"Kennedy","given":"Benjamin","email":"","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":865017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matoza, Robin S.","contributorId":257265,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":865018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":196436,"corporation":false,"usgs":false,"family":"Iezzi","given":"Alexandra M.","affiliations":[],"preferred":false,"id":865019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Bruce W.","contributorId":196298,"corporation":false,"usgs":false,"family":"Christensen","given":"Bruce","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":865020,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Richard","contributorId":190189,"corporation":false,"usgs":false,"family":"Johnson","given":"Richard","email":"","affiliations":[],"preferred":false,"id":865021,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sork, Amilea","contributorId":302667,"corporation":false,"usgs":false,"family":"Sork","given":"Amilea","email":"","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":865022,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fee, David 0000-0002-0936-9977","orcid":"https://orcid.org/0000-0002-0936-9977","contributorId":267231,"corporation":false,"usgs":false,"family":"Fee","given":"David","affiliations":[{"id":13097,"text":"Geophysical Institute, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":865023,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70238684,"text":"70238684 - 2022 - Can we avert an Amazon tipping point? The economic and environmental costs","interactions":[],"lastModifiedDate":"2022-12-05T12:37:03.967845","indexId":"70238684","displayToPublicDate":"2022-12-02T06:32:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Can we avert an Amazon tipping point? The economic and environmental costs","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The Amazon biome is being pushed by unsustainable economic drivers towards an ecological tipping point where restoration to its previous state may no longer be possible. This degradation is the result of self-reinforcing interactions between deforestation, climate change and fire. We assess the economic, natural capital and ecosystem services impacts and trade-offs of scenarios representing movement towards an Amazon tipping point and strategies to avert one using the Integrated Economic-Environmental Modeling (IEEM) Platform linked with spatial land use-land cover change and ecosystem services modeling (IEEM + ESM). Our approach provides the first approximation of the economic, natural capital and ecosystem services impacts of a tipping point, and evidence to build the economic case for strategies to avert it. For the five Amazon focal countries, namely, Brazil, Peru, Colombia, Bolivia and Ecuador, we find that a tipping point would create economic losses of US$256.6 billion in cumulative gross domestic product by 2050. Policies that would contribute to averting a tipping point, including strongly reducing deforestation, investing in intensifying agriculture in cleared lands, climate-adapted agriculture and improving fire management, would generate approximately US$339.3 billion in additional wealth and a return on investment of US$29.5 billion. Quantifying the costs, benefits and trade-offs of policies to avert a tipping point in a transparent and replicable manner can support the design of regional development strategies for the Amazon biome, build the business case for action and catalyze global cooperation and financing to enable policy implementation.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/aca3b8","usgsCitation":"Banerjee, O., Cicowiez, M., Macedo, M., Malek, Z., Verburg, P.H., Goodwin, S., Vargas, R., Rattis, L., Bagstad, K.J., Brando, P.M., Coe, M.T., Neill, C., Damiani Marti, O., and Avila Murillo, J., 2022, Can we avert an Amazon tipping point? The economic and environmental costs: Environmental Research Letters, v. 17, 125005, 12 p., https://doi.org/10.1088/1748-9326/aca3b8.","productDescription":"125005, 12 p.","ipdsId":"IP-141260","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445733,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/aca3b8","text":"Publisher Index Page"},{"id":410044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil, Bolivia, Columbia, Ecuador, Peru","otherGeospatial":"Amazon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.25085123365706,\n              6.9913124337913075\n            ],\n            [\n            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Martin","contributorId":299650,"corporation":false,"usgs":false,"family":"Cicowiez","given":"Martin","email":"","affiliations":[{"id":40888,"text":"Universidad Nacional de la Plata","active":true,"usgs":false}],"preferred":false,"id":858256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macedo, Marcia N.","contributorId":218934,"corporation":false,"usgs":false,"family":"Macedo","given":"Marcia N.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":858257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malek, Ziga 0000-0002-6981-6708","orcid":"https://orcid.org/0000-0002-6981-6708","contributorId":299652,"corporation":false,"usgs":false,"family":"Malek","given":"Ziga","email":"","affiliations":[{"id":64916,"text":"Vrije Univeriteit Amsterdam","active":true,"usgs":false}],"preferred":false,"id":858258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Verburg, Peter 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