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href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 980<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction&nbsp;&nbsp;</li><li>What is a 3D Geologic Model?</li><li>Methodology</li><li>Results</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2023-12-01","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science 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,{"id":70250950,"text":"70250950 - 2023 - The lunar cratering chronology","interactions":[],"lastModifiedDate":"2024-01-13T15:55:28.904933","indexId":"70250950","displayToPublicDate":"2023-12-01T09:54:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"The lunar cratering chronology","docAbstract":"This chapter provides an introduction to crater-size frequency distribution (CSFD) measurements and presents a review of the work performed on dating lunar geological units using CSFDs since the last New Views of the Moon volume (2006), including various volcanic and tectonic features, as well as individual impact craters. At the end of the chapter, implications for the new CSFD age determinations for the geologic history and evolution of the Moon are discussed.","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/rmg.2023.89.10","usgsCitation":"Hiesinger, H., Van der Bogert, C.H., Michael, G., Schmedemann, N., Iqbal, W., Robbins, S.J., Ivanov, B., Williams, J., Zanetti, M., Plescia, J., Ostrach, L.R., and Head III, J., 2023, The lunar cratering chronology: Reviews in Mineralogy and Geochemistry, v. 89, no. 1, p. 401-451, https://doi.org/10.2138/rmg.2023.89.10.","productDescription":"51 p.","startPage":"401","endPage":"451","ipdsId":"IP-128182","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":424426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hiesinger, Harald","contributorId":172686,"corporation":false,"usgs":false,"family":"Hiesinger","given":"Harald","email":"","affiliations":[{"id":27080,"text":"Institut für Planetologie, Westfälische Wilhelms-Universität, Münster","active":true,"usgs":false}],"preferred":false,"id":892354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van der Bogert, Carolyn H.","contributorId":199120,"corporation":false,"usgs":false,"family":"Van der Bogert","given":"Carolyn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":892355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, G.","contributorId":241780,"corporation":false,"usgs":false,"family":"Michael","given":"G.","affiliations":[{"id":37963,"text":"Freie Universität Berlin","active":true,"usgs":false}],"preferred":false,"id":892356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmedemann, N.","contributorId":177377,"corporation":false,"usgs":false,"family":"Schmedemann","given":"N.","affiliations":[],"preferred":false,"id":892357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iqbal, W.","contributorId":333278,"corporation":false,"usgs":false,"family":"Iqbal","given":"W.","email":"","affiliations":[{"id":79832,"text":"Institut für Planetologie, Westfälische Wilhelms-Universität","active":true,"usgs":false}],"preferred":false,"id":892358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robbins, Stuart J.","contributorId":204229,"corporation":false,"usgs":false,"family":"Robbins","given":"Stuart","email":"","middleInitial":"J.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":892359,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ivanov, B.","contributorId":333279,"corporation":false,"usgs":false,"family":"Ivanov","given":"B.","email":"","affiliations":[{"id":49898,"text":"Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":892360,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, J.-P.","contributorId":291741,"corporation":false,"usgs":false,"family":"Williams","given":"J.-P.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":892361,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zanetti, M.","contributorId":333280,"corporation":false,"usgs":false,"family":"Zanetti","given":"M.","email":"","affiliations":[{"id":16239,"text":"NASA Marshall Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":892362,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Plescia, J.","contributorId":333281,"corporation":false,"usgs":false,"family":"Plescia","given":"J.","affiliations":[{"id":47654,"text":"JHU","active":true,"usgs":false}],"preferred":false,"id":892363,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":892364,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Head III, James W.","contributorId":333282,"corporation":false,"usgs":false,"family":"Head III","given":"James W.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":892365,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70271309,"text":"70271309 - 2023 - Hidden system identification: Basin modeling as a tool for examining sedimentary geothermal resource potential","interactions":[],"lastModifiedDate":"2025-09-08T14:58:24.487775","indexId":"70271309","displayToPublicDate":"2023-12-01T09:50:13","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hidden system identification: Basin modeling as a tool for examining sedimentary geothermal resource potential","docAbstract":"<p>Three-dimensional (3D) geologic and temperature models have been developed for the onshore U.S. Gulf Coast. The results from these models identify areas of moderate- to high-temperature (90°-150°C and &gt;150°C; respectively) geothermal resources at depths &lt;6 km. This modeling study addresses the fundamental challenge of predicting where opportune temperature and lithology coincide. Unlike traditional geothermal systems with surface expressions of hydrothermal circulation (e.g., hot springs, fumaroles, sinter), sedimentary geothermal systems (SGS) are generally hidden. Historically, simplified efforts to predict subsurface temperatures in sedimentary basins have focused on linear temperature extrapolation that does not consider the variable thermal properties of different lithologies or lithologic changes with depth (e.g., compaction, lithification). Therefore, the need to understand basin architecture and predict temperatures in 3D within SGS is paramount to identifying geothermal resources and determining economic feasibility. Basin modeling software has long been used to characterize the subsurface conditions of sedimentary basins, including temperature, in the pursuit of finding hydrocarbons. This tool can also be adapted to evaluate the potential of geothermal resources in a sedimentary basin by predicting the confluence of desirable temperatures and reservoir lithologies. In this work, PetroMod basin modeling software was used to create a regional geologic model of the onshore U.S. Gulf Coast, covering over 500,000 km<sup>2</sup> calibrated to temperature data from wells. Inputs include structural surfaces from commercial databases, lithology information derived from published literature, and corrected bottom-hole temperatures (BHT) from over 6,000 wells. The resulting 3D geologic model can be used to predict temperatures throughout the basin. Maps were exported showing the depth, depositional unit, and reservoir lithology at which temperatures of 90°C and 150°C were reached, revealing over 400,000 km<sup>2</sup> of moderate- to high-temperature resources at depths &lt;6 km. These maps function as a first-order screening tool to identify areas where low-, moderate-, or high-grade resource potential may exist, based on temperature and if optimal reservoir lithologies or depositional units of interest are present. Depending on the success criteria of a project, the same maps can be exported for any isotherm or incorporate other 1407 Gardner and Birdwell subsurface properties. The methodology employed in this work can be applied in any sedimentary basin with available subsurface data. Further calibration incorporating other data, including pressure and porosity, can expand the utility of basin modeling for geothermal evaluations. Basin modeling is a powerful but underutilized tool for identifying prospective geothermal resources in sedimentary basins.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geothermal Rising Conference","conferenceDate":"October 1-3, 2023","conferenceLocation":"Reno, NV","language":"English","publisher":"Geothermal Rising","usgsCitation":"Gardner, R., and Birdwell, J.E., 2023, Hidden system identification: Basin modeling as a tool for examining sedimentary geothermal resource potential, <i>in</i> Using the Earth to save the Earth, v. 47, Reno, NV, October 1-3, 2023, p. 1407-1414.","productDescription":"8 p.","startPage":"1407","endPage":"1414","ipdsId":"IP-155363","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":495157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034802","linkFileType":{"id":5,"text":"html"}},{"id":495216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gardner, Rand 0000-0001-8711-5334","orcid":"https://orcid.org/0000-0001-8711-5334","contributorId":316831,"corporation":false,"usgs":true,"family":"Gardner","given":"Rand","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":947935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":947936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252767,"text":"70252767 - 2023 - Unifying the Neoarchean Lac des Iles Complex and implications for the petrogenesis of Pd-enriched noritic breccia pipes in ancient arcs","interactions":[],"lastModifiedDate":"2024-04-11T14:52:54.483847","indexId":"70252767","displayToPublicDate":"2023-12-01T09:43:26","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Unifying the Neoarchean Lac des Iles Complex and implications for the petrogenesis of Pd-enriched noritic breccia pipes in ancient arcs","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"14th International Platinum Symposium abstract volume","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th International Platinum Symposium","conferenceDate":"July 4-7, 2023","conferenceLocation":"Cardiff, Wales","language":"English","publisher":"Cardiff University","usgsCitation":"Smith, W.D., Fay, L., Djon, M., Jenkins, M., Lin, Y., Yao, Z.S., and Mungall, J.E., 2023, Unifying the Neoarchean Lac des Iles Complex and implications for the petrogenesis of Pd-enriched noritic breccia pipes in ancient arcs, <i>in</i> 14th International Platinum Symposium abstract volume, Cardiff, Wales, July 4-7, 2023, p. 207-210.","productDescription":"4 p.","startPage":"207","endPage":"210","ipdsId":"IP-151445","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":427702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://platinum2023.com/programme/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada","state":"Ontario","otherGeospatial":"Lac des Iles Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.65579664256063,\n              49.3329417280701\n            ],\n            [\n              -89.65579664256063,\n              49.03906141115314\n            ],\n            [\n              -89.30733238781289,\n              49.03906141115314\n            ],\n            [\n              -89.30733238781289,\n              49.3329417280701\n            ],\n            [\n              -89.65579664256063,\n              49.3329417280701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, William D.","contributorId":335361,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":898160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fay, L.","contributorId":335362,"corporation":false,"usgs":false,"family":"Fay","given":"L.","email":"","affiliations":[{"id":80380,"text":"Impala Canada","active":true,"usgs":false}],"preferred":false,"id":898161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Djon, M.L.","contributorId":335363,"corporation":false,"usgs":false,"family":"Djon","given":"M.L.","email":"","affiliations":[{"id":80380,"text":"Impala Canada","active":true,"usgs":false}],"preferred":false,"id":898162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":898163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Y.","contributorId":267356,"corporation":false,"usgs":false,"family":"Lin","given":"Y.","affiliations":[],"preferred":false,"id":898164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yao, Z. S.","contributorId":335552,"corporation":false,"usgs":false,"family":"Yao","given":"Z.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":898165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":898166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257118,"text":"70257118 - 2023 - USGS Telemetry Project: Real-Time Telemetry and Multi-State Modeling","interactions":[],"lastModifiedDate":"2024-08-12T14:44:46.763484","indexId":"70257118","displayToPublicDate":"2023-12-01T09:41:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"USGS Telemetry Project: Real-Time Telemetry and Multi-State Modeling","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Monitoring and Response Plan","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Invasive Carp Regional Coordinating Committee (invasivecarp.us)","usgsCitation":"Brey, M.K., Jackson, P.R., Stanton, J.C., and Fritts, A.K., 2023, USGS Telemetry Project: Real-Time Telemetry and Multi-State Modeling, 6 p.","productDescription":"6 p.","startPage":"41","endPage":"46","ipdsId":"IP-151295","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":432459,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://invasivecarp.us/PlansReports.html","linkFileType":{"id":5,"text":"html"}},{"id":432485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brey, Marybeth K. 0000-0003-4403-9655 mbrey@usgs.gov","orcid":"https://orcid.org/0000-0003-4403-9655","contributorId":187651,"corporation":false,"usgs":true,"family":"Brey","given":"Marybeth","email":"mbrey@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909485,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252766,"text":"70252766 - 2023 - Melting at the base of the J-M Reef Package, Stillwater Complex","interactions":[],"lastModifiedDate":"2024-04-11T14:54:10.434444","indexId":"70252766","displayToPublicDate":"2023-12-01T09:39:20","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Melting at the base of the J-M Reef Package, Stillwater Complex","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"14th International Platinum Symposium abstract volume","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"14th International Platinum Symposium","conferenceDate":"July 4-7, 2023","conferenceLocation":"Cardiff, Wales","language":"English","publisher":"Cardiff University","usgsCitation":"Jenkins, M., and Barnes, S., 2023, Melting at the base of the J-M Reef Package, Stillwater Complex, <i>in</i> 14th International Platinum Symposium abstract volume, Cardiff, Wales, July 4-7, 2023, p. 9-12.","productDescription":"4 p.","startPage":"9","endPage":"12","ipdsId":"IP-151729","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":427700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427699,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://platinum2023.com/programme/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.250,\n              45.3547\n            ],\n            [\n              -109.7833,\n              45.3547\n            ],\n            [\n              -109.7833,\n              45.5\n            ],\n            [\n              -110.250,\n              45.5\n            ],\n            [\n              -110.250,\n              45.3547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":898158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Stephen J.","contributorId":335360,"corporation":false,"usgs":false,"family":"Barnes","given":"Stephen J.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":898159,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250313,"text":"gip225 - 2023 - Pacific coastal and marine science of the U.S. Geological Survey in Santa Cruz, California","interactions":[],"lastModifiedDate":"2024-03-15T21:06:43.917592","indexId":"gip225","displayToPublicDate":"2023-12-01T09:38:49","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"225","displayTitle":"Pacific Coastal and Marine Science of the U.S. Geological Survey in Santa Cruz, California","title":"Pacific coastal and marine science of the U.S. Geological Survey in Santa Cruz, California","docAbstract":"<h1>Introduction</h1><p>The Pacific Coastal and Marine Science Center is one of three U.S. Geological Survey science centers that serve the mission of the Coastal and Marine Hazards and Resources Program, the primary Federal marine geology and physical science research program focused on the Nation’s coastal and marine landscape. Our portfolio of coastal and marine projects in the Pacific Ocean provides the scientific information necessary to sustainably manage coastal and marine resources, to prepare for natural hazard events such as landslides and tsunamis, and to build resilience in coastal communities vulnerable to the effects of climate change, as well as storms, flooding, and risks to groundwater resources. The Nation’s demand for societally relevant coastal and marine science has never been greater, and we invite you to explore some of our ongoing Pacific Coastal and Marine Science Center activities in these pages. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip225","usgsCitation":"Pearsall, P., 2023, Pacific coastal and marine science of the U.S. Geological Survey in Santa Cruz, California (ver. 2.0, January 2024): U.S. Geological Survey General Information Product 225, 16 p., https://doi.org/10.3133/gip225.","productDescription":"16 p.","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-146757","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":424460,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/gip/225/versionHist.txt","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":423151,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/225/gip225.pdf","text":"Report","size":"75 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":423150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/225/covrthb_.jpg"}],"edition":"Version 1.0: December 2023; Version 2.0: January 2024","contact":"<p><a href=\"https://www.usgs.gov/centers/pcmsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/pcmsc\">Pacific Coastal and Marine Science Center</a><br><a href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2885 Mission St.<br>Santa Cruz, CA 95060</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2023-12-01","revisedDate":"2024-01-29","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Pearsall, Peter 0000-0002-4566-8026","orcid":"https://orcid.org/0000-0002-4566-8026","contributorId":305730,"corporation":false,"usgs":true,"family":"Pearsall","given":"Peter","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":889416,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70267461,"text":"70267461 - 2023 - Mapping the middle and upper Devonian marine-nonmarine transition in the Appalachian Basin from West Virginia to New York.","interactions":[],"lastModifiedDate":"2025-05-23T14:40:59.043208","indexId":"70267461","displayToPublicDate":"2023-12-01T09:38:42","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping the middle and upper Devonian marine-nonmarine transition in the Appalachian Basin from West Virginia to New York.","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Program and abstracts of the Subcommission on Devonian Stratigraphy, IGCP 652","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","usgsCitation":"Doctor, D.H., and Pitts, A., 2023, Mapping the middle and upper Devonian marine-nonmarine transition in the Appalachian Basin from West Virginia to New York., <i>in</i> Program and abstracts of the Subcommission on Devonian Stratigraphy, IGCP 652, p. 34-35.","productDescription":"2 p.","startPage":"34","endPage":"35","ipdsId":"IP-153248","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486486,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geneseo.edu/geology/sds-2023-geneseo-new-york-program-and-field-guides","linkFileType":{"id":5,"text":"html"}},{"id":486504,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":938306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitts, Alan D. 0000-0002-9661-4917","orcid":"https://orcid.org/0000-0002-9661-4917","contributorId":350522,"corporation":false,"usgs":true,"family":"Pitts","given":"Alan","middleInitial":"D.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":938307,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250951,"text":"70250951 - 2023 - Lunar mare basaltic volcanism: Volcanic features and emplacement processes","interactions":[],"lastModifiedDate":"2024-01-13T15:36:16.015364","indexId":"70250951","displayToPublicDate":"2023-12-01T09:34:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3281,"text":"Reviews in Mineralogy and Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Lunar mare basaltic volcanism: Volcanic features and emplacement processes","docAbstract":"<div id=\"139072550\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"139072549\"><p>Volcanism is a fundamental process in the geological evolution of the Moon, providing clues to the composition and structure of the mantle, the location and duration of interior melting, the nature of convection and lunar thermal evolution. Progress in understanding volcanism has been remarkable in the short 60-year span of the Space Age. Before Sputnik 1 in 1957, the lunar farside was unknown, the origin of the dark lunar maria was debated (sedimentary or volcanic), and significant controversy surrounded the question of how the multitude of craters on the surface formed. Was the Moon formed hot or cold, was the lunar surface young or old, were the craters of impact or volcanic origin? A lunar farside deficient in the darker maria was revealed by Luna 3 in 1959 (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B107\">Lipsky 1965a</a>,<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B108\">b</a>). The Ranger, Lunar Orbiter, Surveyor, Luna and Zond missions significantly augmented pre-Sputnik telescopic observations and began to reveal the diversity of lunar geologic landforms. Return of lunar soil and rock samples from the lunar surface by Apollo (11–12, 14–17) (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B20\">Compton 1989</a>) and Luna (16, 20, 24) missions (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B49\">Harvey 2007a</a>,<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B50\">b</a>;<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B78\">Huntress and Marov 2011</a>) changed the debates overnight (<a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B77\">Hinners 1971</a>;<span>&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"B194\">Taylor 1975</a>). The lunar rocks were igneous and extremely ancient, all from the first half of Solar System history; the oldest, highland anorthosites, were overlain by relatively younger, but still extremely old, extrusive basalts forming the maria.</p></div><div id=\"139072551\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"139072549\"><br></div>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/rmg.2023.89.11","usgsCitation":"Head III, J., Wilson, L., Hiesinger, H., Van der Bogert, C.H., Chen, Y.Y., Dickson, J.L., Gaddis, L., Haruyama, J., Jozwiak, L., Jawin, E., Li, C., Liu, J., Morota, T., Needham, D.H., Ostrach, L.R., Pieters, C.M., Prissel, T.C., Qian, Y., Qiao, L., Rutherford, M.R., Scott, D.R., Whitten, J.L., Xiao, L., Zhang, F., and Ziyuan, O., 2023, Lunar mare basaltic volcanism: Volcanic features and emplacement processes: Reviews in Mineralogy and Geochemistry, v. 89, no. 1, p. 453-507, https://doi.org/10.2138/rmg.2023.89.11.","productDescription":"56 p.","startPage":"453","endPage":"507","ipdsId":"IP-128969","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":441496,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.lancs.ac.uk/id/eprint/211604/5/NewViewsMoon-2-Chapter_11-Final.pdf","text":"External Repository"},{"id":424424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Head III, James W.","contributorId":333282,"corporation":false,"usgs":false,"family":"Head III","given":"James W.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":892366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, Lionel","contributorId":333283,"corporation":false,"usgs":false,"family":"Wilson","given":"Lionel","affiliations":[{"id":33563,"text":"Lancaster University","active":true,"usgs":false}],"preferred":false,"id":892367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hiesinger, Harald","contributorId":172686,"corporation":false,"usgs":false,"family":"Hiesinger","given":"Harald","email":"","affiliations":[{"id":27080,"text":"Institut für Planetologie, Westfälische Wilhelms-Universität, Münster","active":true,"usgs":false}],"preferred":false,"id":892368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van der Bogert, Carolyn H.","contributorId":199120,"corporation":false,"usgs":false,"family":"Van der Bogert","given":"Carolyn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":892369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chen, Yuan Yuan","contributorId":244133,"corporation":false,"usgs":false,"family":"Chen","given":"Yuan","email":"","middleInitial":"Yuan","affiliations":[{"id":48851,"text":"Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, China","active":true,"usgs":false}],"preferred":false,"id":892370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dickson, James L.","contributorId":333284,"corporation":false,"usgs":false,"family":"Dickson","given":"James","email":"","middleInitial":"L.","affiliations":[{"id":7218,"text":"California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":892371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gaddis, Lisa 0000-0001-9953-5483","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":330996,"corporation":false,"usgs":false,"family":"Gaddis","given":"Lisa","affiliations":[{"id":12445,"text":"Lunar and Planetary 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University","active":true,"usgs":false}],"preferred":false,"id":892375,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Li, Chunlai","contributorId":333294,"corporation":false,"usgs":false,"family":"Li","given":"Chunlai","email":"","affiliations":[{"id":79835,"text":"Key Laboratory for Lunar and Deep Space Exploration, National Astronomical Observatories, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":892376,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Liu, Jianzhong","contributorId":333296,"corporation":false,"usgs":false,"family":"Liu","given":"Jianzhong","email":"","affiliations":[{"id":79837,"text":"Center for Lunar and Planetary Sciences, Institute of Geochemistry, Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":892377,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Morota, Tomokatsu","contributorId":333297,"corporation":false,"usgs":false,"family":"Morota","given":"Tomokatsu","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":892378,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Needham, Debra H.","contributorId":333298,"corporation":false,"usgs":false,"family":"Needham","given":"Debra","email":"","middleInitial":"H.","affiliations":[{"id":79839,"text":"NASA HQ","active":true,"usgs":false}],"preferred":false,"id":892379,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":892380,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pieters, Carle M.","contributorId":193891,"corporation":false,"usgs":false,"family":"Pieters","given":"Carle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":892381,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Prissel, Tabb C.","contributorId":333299,"corporation":false,"usgs":false,"family":"Prissel","given":"Tabb","email":"","middleInitial":"C.","affiliations":[{"id":27073,"text":"NASA JSC","active":true,"usgs":false}],"preferred":false,"id":892382,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Qian, Yuqi","contributorId":333300,"corporation":false,"usgs":false,"family":"Qian","given":"Yuqi","email":"","affiliations":[{"id":79840,"text":"Planetary Science Institute, China University of 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,{"id":70261284,"text":"70261284 - 2023 - Geophysical mapping of the Great Lakes Tectonic Zone and surrounding Precambrian geology in the central Upper Peninsula, Michigan","interactions":[],"lastModifiedDate":"2024-12-04T15:39:20.098701","indexId":"70261284","displayToPublicDate":"2023-12-01T09:33:40","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical mapping of the Great Lakes Tectonic Zone and surrounding Precambrian geology in the central Upper Peninsula, Michigan","docAbstract":"<p>The Great Lakes Tectonic Zone (GLTZ) forms the boundary between the Wawa-Abitibi subprovince (north side) and Minnesota River Valley subprovince (south side) within the Archean Superior Province. The GLTZ is concealed for all of its 1100 km length, except south of Marquette in the central Upper Peninsula of Michigan (Sims, 1991; Sims and Day, 1993). Near KI Sawyer, it is exposed as a NW-striking, 2.3 km wide mylonite zone along a strike length of about 11 km, with a mylonitic foliation that dips steeply to the SW (Sims, 1993). The location extent of the GLTZ is unknown to the east where it is concealed beneath Paleozoic sedimentary rocks. We use legacy aeromagnetic data (Daniels et al., 2009) in combination with modern aeromagnetic data (Drenth and Brown, 2020) and ground gravity data to geophysically characterize the GLTZ and map its eastward extent under cover and map additional nearby covered Precambrian tectonic elements. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Institute on Lake Superior Geology proceedings, 69th annual meeting, Eau Claire, Wisconsin, part 1 - Abstracts and proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Drenth, B.J., and Cannon, W.F., 2023, Geophysical mapping of the Great Lakes Tectonic Zone and surrounding Precambrian geology in the central Upper Peninsula, Michigan, <i>in</i> Institute on Lake Superior Geology proceedings, 69th annual meeting, Eau Claire, Wisconsin, part 1 - Abstracts and proceedings, p. 27-28.","productDescription":"2 p.","startPage":"27","endPage":"28","ipdsId":"IP-151526","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":464752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":464741,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcollections.lakeheadu.ca/exhibits/show/ilsg/item/8207"}],"country":"United States","state":"Michigan","otherGeospatial":"Upper Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.6,\n              46.5\n            ],\n            [\n              -87.6,\n              46\n            ],\n            [\n              -86.5,\n              46\n            ],\n            [\n              -86.5,\n              46.5\n            ],\n            [\n              -87.6,\n              46.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":920217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cannon, William F. 0000-0002-2699-8118","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":201972,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":920218,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257591,"text":"70257591 - 2023 - Status and trends in the Lake Superior fish community, 2023","interactions":[],"lastModifiedDate":"2024-08-20T14:35:18.405482","indexId":"70257591","displayToPublicDate":"2023-12-01T09:30:15","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends in the Lake Superior fish community, 2023","docAbstract":"<p>The U.S. Geological Survey annually conducts fishery surveys across Lake Superior that describe trends in fish species occurrence and relative abundance to inform fisheries management and large lake ecology. In 2023, the Lake Superior fish community was sampled with daytime bottom and surface trawls at 51 nearshore locations in June and 31 offshore locations in July. Nearshore bottom trawls collected 157,804 fish from 25 species or morphotypes. Nearshore mean biomass was 18.3 kg per ha which was the second highest biomass estimate over the survey’s 46-year history. Offshore bottom trawls collected 15,458 fish from 10 species or morphotypes. Offshore mean biomass was 5.2 kg per ha, which was less than the annual average of 6.3 kg per ha. Recruitment, as measured by age-1 densities, was the highest recorded for Bloater, Cisco, and Rainbow Smelt in the nearshore and for Kiyi in the offshore survey’s period-of-records. Lakewide average densities (fish per ha) of age-1 fish were 140 for Bloater, 1,019 for Cisco, 616 for Rainbow Smelt, and 54 for Kiyi, which were the highest estimates for the survey’s period-of-record. Period-of-record averages for these species were 10, 67, and 9 age-1 fish per ha, respectively. Age-1 Lake Whitefish averaged 9 fish per ha which was similar to the long-term average of 8 age-1 Lake Whitefish per ha. If the future can be predicted by past large Bloater, Cisco, and Kiyi (collectively, ciscoe) year-class events, the unprecedented survival of the 2022 ciscoe yearclass will influence the Lake Superior ecosystem for the next 10 to 20-years. </p>","language":"English","publisher":"Great Lakes Fishery Commissiion","usgsCitation":"Vinson, M., Evrard, L.M., Gorman, O., Phillips, S.B., and Yule, D.L., 2023, Status and trends in the Lake Superior fish community, 2023, 30 p.","productDescription":"30 p.","ipdsId":"IP-159258","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":432935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432913,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": 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           ],\n            [\n              -84.8309326171875,\n              46.43596408010131\n            ],\n            [\n              -84.75128173828125,\n              46.42460580983505\n            ],\n            [\n              -84.6990966796875,\n              46.45299704748289\n            ],\n            [\n              -84.649658203125,\n              46.437856895024204\n            ],\n            [\n              -84.638671875,\n              46.39998810407942\n            ],\n            [\n              -84.54254150390625,\n              46.411351502899215\n            ],\n            [\n              -84.45465087890625,\n              46.41513877649199\n            ],\n            [\n              -84.3695068359375,\n              46.45678142812658\n            ],\n            [\n              -84.320068359375,\n              46.50973514453876\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vinson, Mark R. 0000-0001-5256-9539 mvinson@usgs.gov","orcid":"https://orcid.org/0000-0001-5256-9539","contributorId":3800,"corporation":false,"usgs":true,"family":"Vinson","given":"Mark","email":"mvinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evrard, Lori M. 0000-0001-8582-5818 levrard@usgs.gov","orcid":"https://orcid.org/0000-0001-8582-5818","contributorId":2720,"corporation":false,"usgs":true,"family":"Evrard","given":"Lori","email":"levrard@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gorman, Owen 0000-0003-0451-110X","orcid":"https://orcid.org/0000-0003-0451-110X","contributorId":216889,"corporation":false,"usgs":true,"family":"Gorman","given":"Owen","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Sydney B 0000-0003-0179-6533","orcid":"https://orcid.org/0000-0003-0179-6533","contributorId":302071,"corporation":false,"usgs":true,"family":"Phillips","given":"Sydney","email":"","middleInitial":"B","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science 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,{"id":70261285,"text":"70261285 - 2023 - Geophysical architecture of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota","interactions":[],"lastModifiedDate":"2024-12-04T15:33:21.041593","indexId":"70261285","displayToPublicDate":"2023-12-01T09:27:14","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical architecture of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota","docAbstract":"<p>The ca. 2737 Ma (Souders, 2023) Mentor anorthosite intrusive complex (MAIC) lies near the northern margin of the Wawa subprovince of the Archean Superior Province, in an area of northwestern Minnesota where the Wawa, Quetico, and Wabigoon subprovinces are juxtaposed in close proximity (Fig. 1). The rocks of interest are entirely concealed by 10s to &gt;100 m of unconsolidated Quaternary sediments and localized Cretaceous strata and saprolite. The MAIC comprises a large volume of megacrystic anorthosite, with a lesser volume of oxide-rich gabbros. The gabbros are known, from a single borehole intersection at ~70 m depth, to be enriched in vanadium (see http://minarchive.dnr.state.mn.us), and have further potential for chromium and titanium mineralization. New interpretations are based on data from an Earth Mapping Resources Initiative (MRI)-sponsored aeromagnetic survey flown in 2021 and pre-existing ground gravity data, constrained by approximately ten boreholes in the area. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Institute on Lake Superior Geology proceedings, 69th annual meeting, Eau Claire, Wisconsin, part 1 - Abstracts and proceedings","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Drenth, B.J., Block, A.R., Hudak, G.J., Souders, A., and Saari, S., 2023, Geophysical architecture of the Neoarchean Mentor anorthosite intrusive complex, northwestern Minnesota, <i>in</i> Institute on Lake Superior Geology proceedings, 69th annual meeting, Eau Claire, Wisconsin, part 1 - Abstracts and proceedings, p. 29-30.","productDescription":"2 p.","startPage":"29","endPage":"30","ipdsId":"IP-151529","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":464751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":464742,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcollections.lakeheadu.ca/exhibits/show/ilsg/item/8207"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.65,\n              48\n            ],\n            [\n              -96.65,\n              47.25\n            ],\n            [\n              -95.4,\n              47.25\n            ],\n            [\n              -95.4,\n              48\n            ],\n            [\n              -96.65,\n              48\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Drenth, Benjamin J. 0000-0002-3954-8124 bdrenth@usgs.gov","orcid":"https://orcid.org/0000-0002-3954-8124","contributorId":1315,"corporation":false,"usgs":true,"family":"Drenth","given":"Benjamin","email":"bdrenth@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":920219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Block, Amy Radakovich","contributorId":346925,"corporation":false,"usgs":false,"family":"Block","given":"Amy","email":"","middleInitial":"Radakovich","affiliations":[{"id":83020,"text":"Minnesota GS","active":true,"usgs":false}],"preferred":false,"id":920220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hudak, George J.","contributorId":346926,"corporation":false,"usgs":false,"family":"Hudak","given":"George","email":"","middleInitial":"J.","affiliations":[{"id":66290,"text":"Natural Resources Research Institute","active":true,"usgs":false}],"preferred":false,"id":920221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Souders, Amanda 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":920222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saari, Stacy","contributorId":346927,"corporation":false,"usgs":false,"family":"Saari","given":"Stacy","email":"","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":920223,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250279,"text":"ofr20231078 - 2023 - Documentation of a pilot workflow for reanalyzing the U.S. Geological Survey principal aquifers datasets and prototype principal aquifer version 2 dataset for three aquifer systems","interactions":[],"lastModifiedDate":"2026-02-18T21:56:06.736865","indexId":"ofr20231078","displayToPublicDate":"2023-12-01T09:18:12","publicationYear":"2023","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":"2023-1078","displayTitle":"Documentation of a Pilot Workflow for Reanalyzing the U.S. Geological Survey Principal Aquifers Datasets and Prototype Principal Aquifer Version 2 Dataset for Three Aquifer Systems","title":"Documentation of a pilot workflow for reanalyzing the U.S. Geological Survey principal aquifers datasets and prototype principal aquifer version 2 dataset for three aquifer systems","docAbstract":"A pilot workflow to refine the principal aquifers of the United States as defined in the Ground Water Atlas of the United States and create a new version of the principal aquifers (referred to as “version 2”) is documented in this report. The workflow incorporates decision points for creating finer scale spatial data for the principal aquifers and refining the original principal aquifer definitions if warranted. This workflow was applied to four principal aquifers in the upper Midwest region of the United States that were not previously refined as part of a U.S. Geological Survey regional groundwater availability study: the Cambrian-Ordovician aquifer system, the Jacobsville aquifer, the Silurian-Devonian aquifer, and the upper carbonate aquifer. The refinement resulted in the consolidation of two of these aquifers (the Silurian-Devonian and upper carbonate aquifers), an expansion of the Jacobsville aquifer into a larger newly defined Midcontinent Rift sandstone aquifers unit, and a slight refinement of the Cambrian-Ordovician aquifer system to exclude Precambrian units. The U.S. Geological Survey State Geologic Map Compilation geodatabase provided the base data used in the refined version 2 dataset, which are published in an accompanying U.S. Geological Survey data release as a prototype version 2 shapefile and include attributes describing the aquifer, data lineage, and source of the originally defined principal aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231078","programNote":"Water Availability and Use Science Program","usgsCitation":"Nielsen, M.G., 2023, Documentation of a pilot workflow for reanalyzing the U.S. Geological Survey principal aquifers datasets and prototype principal aquifer version 2 dataset for three aquifer systems: U.S. Geological Survey Open-File Report 2023–1078, 23 p., https://doi.org/10.3133/ofr20231078.","productDescription":"Report: iv, 23 p.; Data 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Folder"},"url":"https://pubs.usgs.gov/of/2023/1078/images/"},{"id":423098,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1078/ofr20231078.XML"},{"id":423097,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1078/ofr20231078.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023–1078"},{"id":423096,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1078/coverthb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa, Kentucky, Michigan, Minnesota, Missouri, Ohio, Tennessee, Wisconsin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.7305859564595,\n              35.22068769740886\n            ],\n            [\n              -83.69485342904211,\n              39.32676189210625\n            ],\n            [\n              -82.43609088688153,\n              43.576327709341456\n            ],\n            [\n              -83.98279835997307,\n              46.28057130333451\n            ],\n            [\n              -87.90194001961994,\n              48.2723026998373\n            ],\n            [\n              -89.88542930731663,\n              47.961488287177445\n            ],\n            [\n              -93.34876958344479,\n              47.330935123186606\n            ],\n            [\n              -94.69038320347006,\n              43.86819196616244\n            ],\n            [\n              -93.23439439792311,\n              38.975215510546434\n            ],\n            [\n              -89.77908047690332,\n              37.73301765122889\n            ],\n            [\n              -89.7305859564595,\n              35.22068769740886\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umid-water\" data-mce-href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, WI 53726</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Analysis of Aquifer Boundaries in the Pilot Study Area</li><li>Considerations for Future Analysis of Updated Principal Aquifers</li><li>Prototype Version 2 Principal Aquifer Dataset</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-01","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889258,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70271373,"text":"70271373 - 2023 - Geographic distribution: Incilius alvarius (Sonoran desert toad)","interactions":[],"lastModifiedDate":"2025-09-10T14:15:39.045507","indexId":"70271373","displayToPublicDate":"2023-12-01T09:11:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Geographic distribution: Incilius alvarius (Sonoran desert toad)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Nowak, E.M., Cocks, K., Drost, C.A., Agyagos, J., Berlinksy, E., Steffen, J., Banas, R., Talbert, M., and Eno, S., 2023, Geographic distribution: Incilius alvarius (Sonoran desert toad): Herpetological Review, v. 54, no. 4, p. 593-594.","productDescription":"2 p.","startPage":"593","endPage":"594","ipdsId":"IP-159497","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":495268,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/","linkFileType":{"id":5,"text":"html"}}],"volume":"54","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowak, Erika M.","contributorId":361109,"corporation":false,"usgs":false,"family":"Nowak","given":"Erika","middleInitial":"M.","affiliations":[{"id":86181,"text":"Center for Adaptable Western Landscapes, Northern Arizona University, Box 5694, Flagstaff, Arizona 86011","active":true,"usgs":false}],"preferred":false,"id":948235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cocks, Karina","contributorId":361110,"corporation":false,"usgs":false,"family":"Cocks","given":"Karina","affiliations":[{"id":86181,"text":"Center for Adaptable Western Landscapes, Northern Arizona University, Box 5694, Flagstaff, Arizona 86011","active":true,"usgs":false}],"preferred":false,"id":948236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Agyagos, Janie","contributorId":361111,"corporation":false,"usgs":false,"family":"Agyagos","given":"Janie","affiliations":[{"id":86184,"text":"Red Rock Ranger District, Us Forest Service, 8375 State Route 179, Sedona, Arizona 86351","active":true,"usgs":false}],"preferred":false,"id":948238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berlinksy, Eve","contributorId":361112,"corporation":false,"usgs":false,"family":"Berlinksy","given":"Eve","affiliations":[{"id":86181,"text":"Center for Adaptable Western Landscapes, Northern Arizona University, Box 5694, Flagstaff, Arizona 86011","active":true,"usgs":false}],"preferred":false,"id":948239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steffen, Jennifer","contributorId":361113,"corporation":false,"usgs":false,"family":"Steffen","given":"Jennifer","affiliations":[{"id":86185,"text":"Dead Horse Ranch State Park, 675 Dead Horse Ranch Rd, Cottonwood, Arizona 86326","active":true,"usgs":false}],"preferred":false,"id":948240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banas, Rafal","contributorId":361114,"corporation":false,"usgs":false,"family":"Banas","given":"Rafal","affiliations":[{"id":86186,"text":"Tuzigoot National Monument, 25 Tuzigoot Rd, Clarkdale, Arizona 86324","active":true,"usgs":false}],"preferred":false,"id":948241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talbert, Meredith","contributorId":361115,"corporation":false,"usgs":false,"family":"Talbert","given":"Meredith","affiliations":[{"id":86186,"text":"Tuzigoot National Monument, 25 Tuzigoot Rd, Clarkdale, Arizona 86324","active":true,"usgs":false}],"preferred":false,"id":948242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eno, Sara","contributorId":361116,"corporation":false,"usgs":false,"family":"Eno","given":"Sara","affiliations":[{"id":86186,"text":"Tuzigoot National Monument, 25 Tuzigoot Rd, Clarkdale, Arizona 86324","active":true,"usgs":false}],"preferred":false,"id":948243,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264392,"text":"70264392 - 2023 - A management-focused population viability analysis for North Atlantic right whales","interactions":[],"lastModifiedDate":"2025-03-14T14:18:14.086582","indexId":"70264392","displayToPublicDate":"2023-12-01T09:10:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5134,"text":"NOAA Technical Memorandum","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NMFS-NEFSC 307","title":"A management-focused population viability analysis for North Atlantic right whales","docAbstract":"<p>The North Atlantic right whale (<i>Eubalaena glacialis</i>) is among the most endangered whale species in the world and has been in decline since 2010. Considerable effort is directed toward its recovery by striving to remove threats. In this report, we describe the development of a population viability analysis for right whales that is designed to assess the current status, evaluate the contributions of various threats, and explore the management interventions needed to achieve recovery. The individual-based model that underlies this analysis accounts for age- and stagespecific survival and reproductive rates, the effects of severe injury from entanglement or vessel strike, and future changes in prey availability and accessibility. Several new or updated empirical analyses supplied parameter estimates, and parametric uncertainty was carefully incorporated into the model results. </p><p>We find that under the status quo conditions of 2019, prior to the enactment of new regulations by the U.S. and Canada after 2020, the North Atlantic right whale population would be expected to continue to fall, with a median decline of 75% in 100 years (95% projection interval, –98% to +9% change) and a probability of falling below 50 proven females of 0.934 in 100 years. If the recently enacted regulations reduce entanglement risk by 25%, however, the population would be expected to decrease by 42% over 100 years (95% projection interval –92% to +154% change), with a risk of falling below 50 proven females in 100 years of 0.705. If, instead, the recently enacted regulations reduce entanglement risk by 50%, the population would be expected to increase by 52% in 100 years (95% projection interval –83% to +497% change), with a probability of falling below 50 proven females of 0.349. </p><p>Of the 3 primary threats explored in this analysis, the risk of entanglement contributes the most to the long-term risk of quasi-extinction, followed closely by the risk of vessel strike, and much more distantly by a decrease in prey availability. In hypothetical scenarios that fully remove one threat at a time, removal of the entanglement threat alone reduces the probability of falling below 50 proven females in 100 years from 0.934 to 0.053; removal of the vessel strike threat alone reduces it to 0.343; and a return to higher prey conditions, but with both human-related threats still in place, reduces it to 0.875. </p><p>We explored a wide range of management intervention scenarios that changed the rate of entanglement risk (e.g., endline reductions, closures, implementation of ropeless/on-demand gear); the effect of entanglement (through use of weak rope technology); the rate of vessel traffic increase over time; and the severity of vessel strike risk through speed restrictions. We found, for example, that reducing entanglement risk alone by 25% reduces the risk of quasi-extinction from 0.934 to 0.705; reducing vessel strike risk alone by 25% reduces the risk of quasi-extinction from 0.934 to 0.846; but the combination of reducing both entanglement risk and vessel strike risk by 25% reduces the risk of quasi-extinction to 0.528. </p><p>This model and the results it produced are meant to represent an assessment of the current status of North Atlantic right whales using the best available scientific and commercial data and state-of-the-art analytical tools. Our knowledge of the future of the right whale population, however, has limitations. We have endeavored to fully incorporate uncertainty into this model, but there are many areas for continued improvement. We view this model as a living tool that can be improved, adapted, and extended as new data, new methods, and new questions arise. </p>","language":"English","publisher":"National Oceanic and Atmospheric Administration","doi":"10.25923/dqp2-2r71","usgsCitation":"Runge, M.C., Linden, D., Hostetler, J.A., Borggaard, D., Garrison, L.P., Knowlton, A., Lesage, V., Williams, R., and Pace, R., 2023, A management-focused population viability analysis for North Atlantic right whales: NOAA Technical Memorandum NMFS-NEFSC 307, 93 p., https://doi.org/10.25923/dqp2-2r71.","productDescription":"93 p.","ipdsId":"IP-144310","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":483336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linden, Daniel W.","contributorId":229525,"corporation":false,"usgs":false,"family":"Linden","given":"Daniel W.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":930630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":930631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Borggaard, Diane L","contributorId":352275,"corporation":false,"usgs":false,"family":"Borggaard","given":"Diane L","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":930632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garrison, Lance P.","contributorId":296893,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","email":"","middleInitial":"P.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":930633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":930634,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lesage, Véronique","contributorId":352276,"corporation":false,"usgs":false,"family":"Lesage","given":"Véronique","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":930635,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Robert A. 0000-0002-2973-8493","orcid":"https://orcid.org/0000-0002-2973-8493","contributorId":203802,"corporation":false,"usgs":false,"family":"Williams","given":"Robert A.","affiliations":[{"id":36721,"text":"USGS-Emeritus","active":true,"usgs":false}],"preferred":false,"id":930636,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pace, Richard M III","contributorId":352277,"corporation":false,"usgs":false,"family":"Pace","given":"Richard M","suffix":"III","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":930637,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267462,"text":"70267462 - 2023 - Mapping closed depressions in the karst region of northwest Puerto Rico using lidar-derived elevation data obtained in 2018 after Hurricane Maria","interactions":[],"lastModifiedDate":"2025-05-23T14:09:15.876291","indexId":"70267462","displayToPublicDate":"2023-12-01T09:08:54","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Mapping closed depressions in the karst region of northwest Puerto Rico using lidar-derived elevation data obtained in 2018 after Hurricane Maria","docAbstract":"Identifying and analyzing closed depressions in karst areas is important for sinkhole hazard evaluation and land management. We created a sinkhole inventory in the karst region of northwest Puerto Rico using a lidar-derived elevation model acquired in 2018 approximately eleven months after Hurricane Maria. The goal of this project is to develop a geodatabase of sinkhole feature classes (polygons and points), relevant geometric attributes of each feature, and a density raster to portray areas of greater clustering of sinkholes as an input for future sinkhole susceptibility assessment. We used ArcGIS Pro® v3.0 to create closed depression polygons using two semi-automated extraction methods. A fill-difference method was used to capture depressions nine square meters and larger, and a contour tree method was used to capture nested depressions larger than one hundred square meters. Quality checks were conducted to eliminate non-karst depressions, such as human-made depressions and those resulting as artifacts from the automated methods. Geospatial data of land cover, soils, and geology helped to refine the results and improve quality control. The most challenging aspect of this effort was determining a true karst sinkhole from other depressions extracted from the lidar-derived elevation model. Limitations of this semi-automated method include false-positive depressions in the automated results and the exclusion of sinkholes in conducting large-scale eliminations based on landscape attributes. We approached this challenge by combining layers of other geospatial information to evaluate the type of process that could result in a closed depression. This project will help develop an efficient method to visualize karst hazards utilizing lidar-derived elevation models and sinkhole geomorphic expressions. The resulting geodatabase can be used to efficiently identify sinkhole susceptibility and support land management decision-making in karst areas.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 17th multidisciplinary conference on sinkholes and the engineering and environmental impacts of karst","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"National Cave and Karst Research Institute","usgsCitation":"Smith, L., Doctor, D.H., and Cox, C., 2023, Mapping closed depressions in the karst region of northwest Puerto Rico using lidar-derived elevation data obtained in 2018 after Hurricane Maria, <i>in</i> Proceedings of the 17th multidisciplinary conference on sinkholes and the engineering and environmental impacts of karst, v. 17, p. 239-248.","productDescription":"10 p.","startPage":"239","endPage":"248","ipdsId":"IP-148086","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486487,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.usf.edu/sinkhole_2022/ProceedingswithProgram/"},{"id":486498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.30291697689199,\n              18.559923243339426\n            ],\n            [\n              -67.30291697689199,\n              18.330982046375794\n            ],\n            [\n              -66.86489408952299,\n              18.228131112250153\n            ],\n            [\n              -66.11901997545601,\n              18.330982046375794\n            ],\n            [\n              -66.11901997545601,\n              18.559923243339426\n            ],\n            [\n              -67.30291697689199,\n              18.559923243339426\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Lillian G.","contributorId":355868,"corporation":false,"usgs":false,"family":"Smith","given":"Lillian G.","affiliations":[{"id":36213,"text":"University of Redlands","active":true,"usgs":false}],"preferred":false,"id":938308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":938309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, Cheyenne L.","contributorId":355869,"corporation":false,"usgs":false,"family":"Cox","given":"Cheyenne L.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":938310,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250237,"text":"70250237 - 2023 - Yellowstone River Compact Commission seventy-first annual report 2022","interactions":[],"lastModifiedDate":"2026-02-03T15:10:40.474823","indexId":"70250237","displayToPublicDate":"2023-12-01T09:05:09","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Yellowstone River Compact Commission seventy-first annual report 2022","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Yellowstone River Compact Commission","usgsCitation":"Davidson, S.L., 2023, Yellowstone River Compact Commission seventy-first annual report 2022: Cooperator Report, 45 p.","productDescription":"45 p.","ipdsId":"IP-152465","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":499440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499439,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/yellowstone-river-compact-commission-seventy-first-annual-report-2022"}],"country":"United States","state":"Montana, North Dakota, Wyoming","otherGeospatial":"Yellowstone River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.30202023998697,\n              46.91729828037356\n            ],\n            [\n              -102.86275606887625,\n              47.305932172917124\n            ],\n            [\n              -102.86275606887625,\n              47.721288979115684\n            ],\n            [\n              -103.34594665709811,\n              47.8393587156163\n            ],\n            [\n              -104.66373917043084,\n              47.246327039430156\n            ],\n            [\n              -106.24509018642983,\n              46.82721042008123\n            ],\n            [\n              -107.60680911687372,\n              46.73697132311386\n            ],\n            [\n              -109.27601296709494,\n              46.73697132311386\n            ],\n            [\n              -110.28632056064981,\n              46.94729396432527\n            ],\n            [\n              -111.95552441087104,\n              46.94729396432527\n            ],\n            [\n              -112.79012633598192,\n              46.31385501970888\n            ],\n            [\n              -113.05368483864815,\n              45.611577424913406\n            ],\n            [\n              -112.57049425042628,\n              44.58840676429884\n            ],\n            [\n              -111.73589232531539,\n              44.71340404194632\n            ],\n            [\n              -111.03306965153841,\n              44.21179870462521\n            ],\n            [\n              -110.85736398309392,\n              43.163632537948956\n            ],\n            [\n              -110.59380548042715,\n              42.38983470662791\n            ],\n            [\n              -109.53957146976119,\n              41.77039401552537\n            ],\n            [\n              -106.94791286020732,\n              42.194875226416286\n            ],\n            [\n              -106.11331093509645,\n              42.84239196344987\n            ],\n            [\n              -105.93760526665194,\n              43.73763032826872\n            ],\n            [\n              -105.05907692443046,\n              45.08677944735058\n            ],\n            [\n              -103.91699007954222,\n              46.34418691818388\n            ],\n            [\n              -103.30202023998697,\n              46.91729828037356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Davidson, Seth L. 0000-0002-9548-468X sdavids@usgs.gov","orcid":"https://orcid.org/0000-0002-9548-468X","contributorId":3626,"corporation":false,"usgs":true,"family":"Davidson","given":"Seth","email":"sdavids@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":889012,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70265060,"text":"70265060 - 2023 - Red Knot stopover population size and migration ecology at Delaware Bay, USA, 2023","interactions":[],"lastModifiedDate":"2025-04-01T14:07:00.224393","indexId":"70265060","displayToPublicDate":"2023-12-01T09:02:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Red Knot stopover population size and migration ecology at Delaware Bay, USA, 2023","docAbstract":"<p>Red Knots (<i>Calidris canutus rufa</i>) stop at Delaware Bay on the mid-Atlantic coast of North America during northward migration to feed on eggs of horseshoe crabs (<i>Limulus polyphemus</i>). We conducted a mark-recapture-resight investigation to estimate the passage population of Red Knots at Delaware Bay in 2023. We used a Bayesian analysis of a Jolly-Seber model, which accounts for turnover in the population and the probability of detection during surveys. The 2023 passage population size was estimated at 39,361 (95% credible interval: 33,724–47,556). Although there is broad overlap in the credible intervals for population estimates from 2020–2023, the population estimate for 2023 was below 40,000 birds for only the second time since 2011. Horseshoe crabs have been harvested for use as bait in eel (<i>Anguilla rostrata</i>) and whelk (<i>Busycon</i>) fisheries since at least 1990. In the late 1990s and early 2000s, the number of Red Knots counted during aerial surveys at Delaware Bay declined from ~50,000 to ~13,000 and some avian conservation biologists hypothesized that horseshoe crab harvest levels in the 1990s prevented sufficient refueling for successful migration to the Arctic breeding grounds, reproduction, and survival for the remainder of the annual cycle. Since 2013, the harvest of horseshoe crabs in the Delaware Bay region has been managed using an Adaptive Resource Management (ARM) framework. The objective of the ARM framework is to manage sustainable harvest of Delaware Bay horseshoe crabs while maintaining ecosystem integrity and supporting Red Knot recovery with adequate stopover habitat for Red Knots and other migrating shorebirds. For annual harvest recommendations, the ARM framework requires annual estimates of horseshoe crab population size and the Red Knot stopover population size. The 2023 population size estimate will inform harvest recommendations in the next management cycle for decision making by the Atlantic States Marine Fisheries Commission.</p>","language":"English","publisher":"Delaware Division of Fish and Wildlife","usgsCitation":"Lyons, J.E., 2023, Red Knot stopover population size and migration ecology at Delaware Bay, USA, 2023, 15 p.","productDescription":"15 p.","ipdsId":"IP-159297","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":484058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484043,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://dnrec.alpha.delaware.gov/fish-wildlife/conservation/shorebirds/research/"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.08367028503963,\n              38.719590525784895\n            ],\n            [\n              -74.91863610562206,\n              38.97012711441013\n            ],\n            [\n              -74.8543007475435,\n              39.15256976333487\n            ],\n            [\n              -75.3829695595777,\n              39.44695257658836\n            ],\n            [\n              -75.51443746521609,\n              39.64539134375613\n            ],\n            [\n              -75.65429693929858,\n              39.619540213656876\n            ],\n            [\n              -75.56198968640427,\n              39.36698574058866\n            ],\n            [\n              -75.42772459128453,\n              39.14606207448017\n            ],\n            [\n              -75.3745779911329,\n              38.9679523390096\n            ],\n            [\n              -75.08367028503963,\n              38.719590525784895\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70271371,"text":"70271371 - 2023 - Foreword","interactions":[],"lastModifiedDate":"2025-09-10T14:02:05.438173","indexId":"70271371","displayToPublicDate":"2023-12-01T08:59:10","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Foreword","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The bog turtle: Natural history and conservation","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"ECO Wear & Publishing","usgsCitation":"Lovich, J.E., 2023, Foreword, chap. <i>of</i> The bog turtle: Natural history and conservation.","ipdsId":"IP-141777","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495272,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Zappalorti, Robert T.","contributorId":169450,"corporation":false,"usgs":false,"family":"Zappalorti","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":25511,"text":"Herpetological Associates, Inc., Plant and Wildlife Consultants, 575 Toms River Road, Jackson, NJ 08527 USA. Corresponding author e-mail: RZappalort@aol.com","active":true,"usgs":false}],"preferred":false,"id":948326,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":948234,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250953,"text":"70250953 - 2023 - Examining current bias and future projection consistency of globally downscaled climate projections commonly used in climate impact studies","interactions":[],"lastModifiedDate":"2024-01-13T14:57:56.409648","indexId":"70250953","displayToPublicDate":"2023-12-01T08:55:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Examining current bias and future projection consistency of globally downscaled climate projections commonly used in climate impact studies","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The associated uncertainties of future climate projections are one of the biggest obstacles to overcome in studies exploring the potential regional impacts of future climate shifts. In remote and climatically complex regions, the limited number of available downscaled projections may not provide an accurate representation of the underlying uncertainty in future climate or the possible range of potential scenarios. Consequently, global downscaled projections are now some of the most widely used climate datasets in the world. However, they are rarely examined for representativeness of local climate or the plausibility of their projected changes. Here we explore the utility of two such global datasets (CHELSA and WorldClim2) in providing plausible future climate scenarios for regional climate change impact studies. Our analysis was based on three steps: (1) standardizing a baseline period to compare available global downscaled projections with regional observation-based datasets and regional downscaled datasets; (2) bias correcting projections using a single observation-based baseline; and (3) having controlled differences in baselines between datasets, exploring the patterns and magnitude of projected climate shifts from these datasets to determine their plausibility as future climate scenarios, using Hawaiʻi as an example region. Focusing on mean annual temperature and precipitation, we show projected climate shifts from these commonly used global datasets not only may vary significantly from one another but may also fall well outside the range of future scenarios derived from regional downscaling efforts. As species distribution models are commonly created from these datasets, we further illustrate how a substantial portion of variability in future species distribution shifts can arise from the choice of global dataset used. Hence, projected shifts between baseline and future scenarios from these global downscaled projections warrant careful evaluation before use in climate impact studies, something rarely done in the existing literature.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10584-023-03623-z","usgsCitation":"Fortini, L., Kaiser, L.R., Frazier, A.G., and Giambelluca, T.W., 2023, Examining current bias and future projection consistency of globally downscaled climate projections commonly used in climate impact studies: Climatic Change, v. 176, https://doi.org/10.1007/s10584-023-03623-z.","productDescription":"169, 21 p.","startPage":"169","ipdsId":"IP-136355","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":441499,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-023-03623-z","text":"Publisher Index 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 \"}}]}","volume":"176","noUsgsAuthors":false,"publicationDate":"2023-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":892396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaiser, Lauren R.","contributorId":200422,"corporation":false,"usgs":false,"family":"Kaiser","given":"Lauren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":892397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frazier, Abby G.","contributorId":221112,"corporation":false,"usgs":false,"family":"Frazier","given":"Abby","email":"","middleInitial":"G.","affiliations":[{"id":40321,"text":"USDA Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":892398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giambelluca, Thomas W","contributorId":296956,"corporation":false,"usgs":false,"family":"Giambelluca","given":"Thomas","email":"","middleInitial":"W","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":892399,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261199,"text":"70261199 - 2023 - New high resolution airborne geophysical surveys in Nevada And California for geothermal and mineral resource studies","interactions":[],"lastModifiedDate":"2024-11-29T14:54:09.70735","indexId":"70261199","displayToPublicDate":"2023-12-01T08:53:31","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"New high resolution airborne geophysical surveys in Nevada And California for geothermal and mineral resource studies","docAbstract":"The U.S. Geological Survey (USGS) and the Department of Energy (DOE) are collaborating to acquire high-resolution airborne magnetic and radiometric data to support geologic and geophysical mapping and modeling that will assist geothermal and critical mineral studies. Coordinated with these efforts are programs supporting geologic mapping and airborne LiDAR (light detection and ranging) surveys that yield detailed surface topographic models of the terrain over the same regions spanned by the geophysical surveys. The collaboration leverages resources from the USGS and DOE to acquire large regional datasets that will provide fundamental data necessary to map surface and subsurface geology and structure to benefit mineral and resource program objectives of both agencies. Such regionally uniform datasets are important for geothermal research to assist in identifying geologically favorable settings and as invaluable inputs in predictive models targeting undiscovered resources that use knowledge-driven (e.g., play fairway analysis) or data-driven approaches (e.g., machine-learning methods) to reduce risk associated with resource exploration. These data will also serve a wide range of other related activities from hazard (earthquake, volcano, landslide, environmental) and resource (water, mineral, energy) studies, to mapping and land management.\n\nSurveys were conducted in two areas that were selected because they host substantial geothermal and mineral potential in California and Nevada. The data will aid several ongoing USGS and DOE projects aimed at characterizing geothermal and mineral systems, understanding the factors controlling their occurrence, and improving future national resource assessments. The first of these surveys (referred to as GeoDAWN) was collected over northern and western Nevada and eastern California and spans areas of major resource potential associated with the Walker Lane and western Great Basin. This includes Clayton Valley, which hosts substantial lithium brine and clay resources, and the Humboldt Mafic Complex, which constitutes a potentially important resource of critical minerals (including cobalt, rare earth elements, platinum group elements, iron, chromium, nickel, and copper). The second survey area (referred to as GeoFlight) is focused over\n\nthe Salton Trough in southern California that contains some of the largest and hottest known hydrothermal systems in the world, as well as a substantial lithium brine resource that could potentially meet the nation’s lithium demand for electric vehicles. Data from both surveys will be made publicly available through USGS publications and online data repositories. Future efforts under this collaboration are presently being evaluated and may involve acquisition of other data sets such as airborne gravity, electromagnetic or hyperspectral data to address research targets.","language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Glen, J.M., and Earney, T.E., 2023, New high resolution airborne geophysical surveys in Nevada And California for geothermal and mineral resource studies, v. 47, p. 1738-1762.","productDescription":"25 p.","startPage":"1738","endPage":"1762","ipdsId":"IP-156123","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":464588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":464580,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034804","linkFileType":{"id":5,"text":"html"}}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Earney, Tait E. 0000-0002-1504-0457","orcid":"https://orcid.org/0000-0002-1504-0457","contributorId":210080,"corporation":false,"usgs":true,"family":"Earney","given":"Tait","email":"","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250443,"text":"70250443 - 2023 - Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2023-12-09T14:53:33.90405","indexId":"70250443","displayToPublicDate":"2023-12-01T08:48:59","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska","docAbstract":"<p><span>This map of fractures, scarps, faults, and landslides was completed to identify areas in Glacier Bay National Park and Preserve that may present a landslide-generated tsunami hazard. To address the potential of landslide and tsunami hazards in the park, the National Park Service (NPS) and the US Geological Survey (USGS) partnered to conduct a multi-year hazard assessment of Glacier Bay National Park and Preserve. To produce the map described in this report, we used the newly acquired (2019-2020) light detection and ranging (LiDAR) 0.5 to 1.0 m digital elevation models (DEMs) that cover all the coastal areas of the park and extend up to the ridgetops in places with steep slopes. A bare earth DEM was used to identify and map areas of incipient landslides (i.e., fractures and scarps), fault scarps, and areas where landslides have clearly occurred in the past (i.e., areas where scars and deposits are clearly visible). This map provides a baseline data set that can be used to aid forecasts of where landslides are most likely to occur in the future.</span></p>","language":"English","publisher":"National Park Service","doi":"10.36967/2300706","collaboration":"National Park Service","usgsCitation":"Hults, C., Coe, J.A., and Avdievitch, N.N., 2023, Fractures, scarps, faults, and landslides mapped using LiDAR, Glacier Bay National Park and Preserve, Alaska, iv, 14 p., https://doi.org/10.36967/2300706.","productDescription":"iv, 14 p.","ipdsId":"IP-147660","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":423385,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Glacier Bay National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -139.23040794383448,\n              59.9305550708161\n            ],\n            [\n              -139.23040794383448,\n              57.252640525398476\n            ],\n            [\n              -134.22064231883454,\n              57.252640525398476\n            ],\n            [\n              -134.22064231883454,\n              59.9305550708161\n            ],\n            [\n              -139.23040794383448,\n              59.9305550708161\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hults, Chad","contributorId":332290,"corporation":false,"usgs":false,"family":"Hults","given":"Chad","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":889926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":889927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avdievitch, Nikita N. 0000-0002-2507-2962","orcid":"https://orcid.org/0000-0002-2507-2962","contributorId":225492,"corporation":false,"usgs":true,"family":"Avdievitch","given":"Nikita","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":889928,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257372,"text":"70257372 - 2023 - Simulation modeling to assess line transect distance sampling under a range of translocation scenarios","interactions":[],"lastModifiedDate":"2024-09-04T15:33:06.278948","indexId":"70257372","displayToPublicDate":"2023-12-01T08:35:40","publicationYear":"2023","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":"Simulation modeling to assess line transect distance sampling under a range of translocation scenarios","docAbstract":"<p><span>The accuracy of posttranslocation population monitoring methods is critical to assessing long-term success in translocation programs. Translocation can produce unique challenges to monitoring efforts; therefore, it is important to understand the flexibility and robustness of commonly used monitoring methods. In Florida, USA, thousands of gopher tortoises&nbsp;</span><i>Gopherus polyphemus</i><span>&nbsp;have been, and continue to be, translocated from development sites to permitted recipient sites. These recipient sites create a broad range of potential monitoring scenarios due to variability in soft-release strategies, habitat conditions, and population demographics. Line transect distance sampling is an effective method for monitoring natural tortoise populations, but it is currently untested for translocated populations. We therefore produced 3,024 individual-based, spatially explicit scenarios of translocated tortoise populations that differed in recipient site and tortoise population properties, based on real-world examples, literature review, and expert opinion. We virtually sampled simulated tortoise populations by using line transect distance sampling methods and built a Bayesian hierarchical model to estimate the population density for each simulation, which incorporated individual-level covariates (i.e., burrow width and burrow occupancy). Line transect distance sampling was largely appropriate for the conditions that typify gopher tortoise recipient sites, particularly when detection probability on the transect lines was greater than or equal to 0.85. Designing the layout of transects relative to the orientation of soft-release pens, to avoid possible sampling biases that lead to extreme outliers in estimates of tortoise densities, resulted in more accurate population estimates. We also suggest that use of individual-level covariates, applied using a Bayesian framework as demonstrated in our study, may improve the applicability of line transect distance sampling surveys in a variety of contexts and that simulation can be a powerful tool for assessing survey design in complex sampling situations.</span></p>","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-23-029","usgsCitation":"Jones, M.D., Smith, L., Gentry Richardson, K., DeSha, J., Castellón, T., Hipes, D., Kalfin, A., Halstead, N.T., and Hunter, E.A., 2023, Simulation modeling to assess line transect distance sampling under a range of translocation scenarios: Journal of Fish and Wildlife Management, v. 14, no. 2, p. 385-399, https://doi.org/10.3996/JFWM-23-029.","productDescription":"15 p.","startPage":"385","endPage":"399","ipdsId":"IP-151978","costCenters":[{"id":199,"text":"Coop Res Unit 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,{"id":70250393,"text":"70250393 - 2023 - Blue snowflakes in a warming world: Karner blue butterfly climate change vulnerability synthesis and best practices for adaptation","interactions":[],"lastModifiedDate":"2023-12-06T14:23:57.214451","indexId":"70250393","displayToPublicDate":"2023-12-01T08:23:21","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/CCRP/NRR—2023/2602","title":"Blue snowflakes in a warming world: Karner blue butterfly climate change vulnerability synthesis and best practices for adaptation","docAbstract":"<p><span>This report—developed at the request of the United States Fish and Wildlife Service-led Karner Blue Butterfly Recovery Team by Recovery Team members and partners—provides a Karner blue butterfly climate change vulnerability synthesis, explores a range of potential responses, and presents best practices for climate change-informed conservation of the species.</span><br><br><span>The three decades since the Karner blue butterfly’s (Lycaeides [Plebejus] melissa samuelis Nabokov) listing as federally endangered in the United States have seen a diverse and dedicated research and management community coalesce around the species’ recovery. This geographically expansive conservation collaboration has broken new ground for threatened and endangered species recovery. Many Karner blue recovery areas are making steady progress towards recovery goals, but some are not. An extremely hot and dry 2012, perhaps aided by adverse longer-term climate trends such as declining snow cover, extirpated the Karner blue from Indiana Dunes National Park and the surrounding Indiana Dunes Karner Blue Butterfly Recovery Unit—the southernmost recovery unit and once host to one of the species’ largest populations—as well as from northwest Ohio.</span><br><br><span>Because of the fundamental challenge that climate change represents to Karner blue butterfly recovery and of the general need for endangered species conservation plans to better address climate change, the United States Fish and Wildlife Service-led Karner Blue Butterfly Recovery Team tasked a subset of the team to:</span><br><br><span>Explore the species’ climate change sensitivity and adaptive capacity, review ongoing and projected climate change across the Karner blue range and associated uncertainties, and develop and suggest best practices concerning long-term adaptation strategies.</span><br><br><span>Consistent with that mandate, this report synthesizes what is known about Karner blue climate change vulnerability and applies current thinking in climate change adaptation to help foster strategic, long-term, climate change-informed Karner blue recovery and conservation. It develops and explores a range of potential climate change-informed butterfly- and habitat-stewardship responses, using the resist-accept-direct (RAD) framework to foster a broad range of approaches, and provides guidance regarding how they may be pursued. The report also provides suggestions for improving the climate change-exposure component of Karner blue vulnerability assessment.</span></p>","language":"English","publisher":"National Park Service","doi":"10.36967/2301333","usgsCitation":"Schuurman, G.W., Hoving, C.L., Hess, A.N., Bristow, L.V., Delphey, P.J., Hellmann, J., Keough, H.L., Knutson, R.L., and Kellner, A., 2023, Blue snowflakes in a warming world: Karner blue butterfly climate change vulnerability synthesis and best practices for adaptation: Natural Resource Report NPS/NRSS/CCRP/NRR—2023/2602, xvii, 154 p., https://doi.org/10.36967/2301333.","productDescription":"xvii, 154 p.","ipdsId":"IP-152801","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":423268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n 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,{"id":70258638,"text":"70258638 - 2023 - Sonoran desert tortoise: Gopherus morafkai","interactions":[],"lastModifiedDate":"2024-09-19T13:31:49.500487","indexId":"70258638","displayToPublicDate":"2023-12-01T08:16:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18631,"text":"IUCN Red List of Threatened Species","active":true,"publicationSubtype":{"id":10}},"title":"Sonoran desert tortoise: Gopherus morafkai","docAbstract":"<p><span>Sonoran Desert Tortoise&nbsp;</span><i>Gopherus morafkai</i><span>&nbsp;has most recently been assessed for&nbsp;</span><i>The IUCN Red List of Threatened Species</i><span>&nbsp;in 2019.&nbsp;</span><i>Gopherus morafkai</i><span>&nbsp;is listed as Vulnerable under criteria A2abce+4abce.</span></p>","language":"English","publisher":"IUCN","doi":"10.2305/IUCN.UK.2023-1.RLTS.T97246109A97246177.en","usgsCitation":"Averill-Murray, R., Rosen, P., Jones, C., Jones, T., Lara-Resendiz, R.A., Edwards, T., Karl, A., and Berry, K.H., 2023, Sonoran desert tortoise: Gopherus morafkai: IUCN Red List of Threatened Species, HTML Document, https://doi.org/10.2305/IUCN.UK.2023-1.RLTS.T97246109A97246177.en.","productDescription":"HTML Document","ipdsId":"IP-141177","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":441509,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.2305/iucn.uk.2023-1.rlts.t97246109a97246177.en","text":"Publisher Index Page"},{"id":439134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Sonora","otherGeospatial":"Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.49110469886017,\n              27.729764903155512\n            ],\n            [\n              -109.68036417007879,\n              29.323278884808353\n            ],\n            [\n              -109.50954231107093,\n              31.88120530174399\n            ],\n            [\n              -109.83798108105655,\n              33.351483999963165\n            ],\n            [\n              -110.53104774254575,\n              33.782727941901754\n            ],\n            [\n              -112.39560264303194,\n              34.75304507185233\n            ],\n            [\n              -113.32141073849851,\n              36.376959089787405\n            ],\n            [\n              -113.93130211754695,\n              36.39393440910057\n            ],\n            [\n              -114.17530901823386,\n              35.238424276141174\n            ],\n            [\n              -114.2054690932774,\n              33.10177972804529\n            ],\n            [\n              -113.89750443383366,\n              32.123749576741005\n            ],\n            [\n              -112.59845871401433,\n              30.041055151051935\n            ],\n            [\n              -112.36405466098628,\n              28.6740514227059\n            ],\n            [\n              -110.49110469886017,\n              27.729764903155512\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Averill-Murray, R.C. 0000-0002-4424-2269","orcid":"https://orcid.org/0000-0002-4424-2269","contributorId":238891,"corporation":false,"usgs":false,"family":"Averill-Murray","given":"R.C.","email":"","affiliations":[{"id":27594,"text":"Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":913490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosen, P.C.","contributorId":107640,"corporation":false,"usgs":true,"family":"Rosen","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":913491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, C.A.","contributorId":344334,"corporation":false,"usgs":false,"family":"Jones","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":913492,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, T.R.","contributorId":344326,"corporation":false,"usgs":false,"family":"Jones","given":"T.R.","email":"","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":913493,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lara-Resendiz, R. 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