{"pageNumber":"558","pageRowStart":"13925","pageSize":"25","recordCount":184634,"records":[{"id":70247839,"text":"70247839 - 2020 - Attribute rules and dictionary symbology in ArcGIS Pro help streamline geologic map compilation in GeMS","interactions":[],"lastModifiedDate":"2023-08-21T12:19:39.871609","indexId":"70247839","displayToPublicDate":"2023-06-30T07:18:34","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Attribute rules and dictionary symbology in ArcGIS Pro help streamline geologic map compilation in GeMS","docAbstract":"Attribute rules and dictionary symbology are functionality available in ArcGIS Pro that can dramatically streamline the compilation of geologic maps in GeMS - the Geologic Map Schema that is the standard delivery schema mandated for projects funded by the Cooperative Geologic Mapping Program. Testing of the functionality produced attribute rules and a symbol dictionary that support two compilation workflows, one for digitizing an existing analog map, the other for compiling new field mapping.","conferenceTitle":"Digital Mapping Techniques 2020","conferenceDate":"June 8-10, 2020","language":"English","usgsCitation":"Felger, T.J., 2020, Attribute rules and dictionary symbology in ArcGIS Pro help streamline geologic map compilation in GeMS, Digital Mapping Techniques 2020, June 8-10, 2020, 15 p.","productDescription":"15 p.","ipdsId":"IP-123690","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":419952,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ngmdb.usgs.gov/Info/dmt/docs/DMT20_Felger_AttributeRules_Pamphlet.pdf"},{"id":419960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Felger, Tracey J. 0000-0003-0841-4235 tfelger@usgs.gov","orcid":"https://orcid.org/0000-0003-0841-4235","contributorId":1117,"corporation":false,"usgs":true,"family":"Felger","given":"Tracey","email":"tfelger@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":880712,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228586,"text":"70228586 - 2020 - A new approach to the study of relationship quality in dolphins: framework and preliminary results","interactions":[],"lastModifiedDate":"2022-02-14T15:18:48.742945","indexId":"70228586","displayToPublicDate":"2022-12-30T09:03:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":987,"text":"Behavioural Processes","active":true,"publicationSubtype":{"id":10}},"title":"A new approach to the study of relationship quality in dolphins: framework and preliminary results","docAbstract":"Proximity and synchronous behaviours from surface observations have been used to measure association patterns within and between dolphin dyads. To facilitate an investigation of relationship quality in dolphins, we applied a method used for chimpanzees and ravens that examined three main components to describe relationships: value, security, and compatibility. Using pilot data from a long-term study of two study populations for this preliminary assessment, these three components were extracted from PCA analysis of eight behavioural variables with more than 80% variance accounted for in both study groups. Only pair swim position differed between groups. Although value, security, and compatibility are abstract terms, each is based on behaviours identified as important in dolphin social life, at least for these two populations. Examining relationship quality in dolphins with a method used to illustrate dyadic differences for chimpanzees and ravens allows for a quantitative, comparative assessment of sociality across disparate taxa. Although these three species are diverse in their anatomies and in their social habitats (e.g., aquatic, terrestrial, aerial), they may well share the basic societal building blocks in the factors affecting how relationships are formed. We discuss how an examination of these behavioural variables facilitates understanding relationship quality in dolphins, as well as how dolphin relationships fit into the context of social animals’ society.","language":"English","publisher":"Elsevier","doi":"10.1016/j.beproc.2020.104260","usgsCitation":"Themelin, M., Ribic, C., Melillo-Sweeting, K., Bolton, T., and Dudzinski, K., 2020, A new approach to the study of relationship quality in dolphins: framework and preliminary results: Behavioural Processes, v. 181, 104260, 10 p., https://doi.org/10.1016/j.beproc.2020.104260.","productDescription":"104260, 10 p.","ipdsId":"IP-118323","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bahamas, Honduras","otherGeospatial":"Bimini Islands, Great Bahama Bank, Roatan Island","volume":"181","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Themelin, Manon","contributorId":276248,"corporation":false,"usgs":false,"family":"Themelin","given":"Manon","email":"","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":834687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":834686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melillo-Sweeting, Kel","contributorId":276249,"corporation":false,"usgs":false,"family":"Melillo-Sweeting","given":"Kel","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":834688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolton, Teri","contributorId":276251,"corporation":false,"usgs":false,"family":"Bolton","given":"Teri","email":"","affiliations":[{"id":56942,"text":"The Roatan Institute for Marine Sciences","active":true,"usgs":false}],"preferred":false,"id":834689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dudzinski, Kathleen M.","contributorId":276253,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen M.","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":834690,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70212786,"text":"ofr20191023C - 2020 - Focus areas for data acquisition for potential domestic resources of 11 critical minerals in Alaska—Aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten, chap. C of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals","interactions":[],"lastModifiedDate":"2026-03-25T16:56:03.904619","indexId":"ofr20191023C","displayToPublicDate":"2022-07-14T10:32:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1023","chapter":"C","displayTitle":"Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in Alaska—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten","title":"Focus areas for data acquisition for potential domestic resources of 11 critical minerals in Alaska—Aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten, chap. C of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals","docAbstract":"

Phase 2 of the Earth Mapping Resources Initiative (Earth MRI) focuses on geologic belts that are favorable for hosting mineral systems that may contain select critical minerals. Phase 1 of the Earth MRI program focused on rare earth elements (REE), and phase 2 adds aluminum, cobalt, graphite, lithium, niobium, platinum-group metals, tantalum, tin, titanium, and tungsten. This report describes the methodology and techniques utilized to define focus areas for future data acquisition in Alaska; the conterminous United States are covered in a separate report.

Definition of focus areas relies on a mineral systems framework that considers geologic features that may influence or control the formation and preservation of a mineral deposit and links the critical commodities to genetically related processes. Mineral systems are therefore larger than any given deposit. Evaluation of these larger systems allows for a broader understanding of how and where critical minerals may move through geologic systems.

Delineation of focus areas in Alaska was informed by statewide geological, geochemical, geophysical, and mineral occurrence datasets that are publicly available. Additionally, previously published prospectivity analyses for six different critical mineral-bearing deposit types help identify focus areas. A total of 74 focus areas prospective for the phase 2 critical minerals that occur in 12 different mineral systems were defined in Alaska. Identified focus areas may be used to guide future geologic, geochemical, and geophysical data in the State of Alaska.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023C","collaboration":"Prepared in cooperation with the Alaska Division of Geological & Geophysical Surveys","usgsCitation":"Kreiner, D.C., and Jones, J.V., 2020, Focus areas for data acquisition for potential domestic resources of 11 critical minerals in Alaska—Aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten (ver. 1.1, July 2022), chap. C of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 20 p., https://doi.org/10.3133/ofr20191023C.","productDescription":"viii, 20 p.","onlineOnly":"Y","ipdsId":"IP-118999","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":403734,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023E","text":"Open-File Report 2019-1023-E","linkHelpText":"- Alaska Focus Area Definition for Data Acquisition for Potential Domestic Sources of Critical Minerals in Alaska for Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Magnesium, Manganese, Uranium, Vanadium, and Zirconium"},{"id":403733,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023D","text":"Open-File Report 2019-1023-D","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 13 Critical Minerals in the Conterminous United States and Puerto Rico—Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Helium, Magnesium, Manganese, Potash, Uranium, Vanadium, and Zirconium"},{"id":501523,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_110565.htm","linkFileType":{"id":5,"text":"html"}},{"id":378569,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023B","text":"Open-File Report 2019-1023-B","description":"Open-File Report 2019-1023-B","linkHelpText":"- Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in the Conterminous United States, Hawaii, and Puerto Rico—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum-Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten"},{"id":378568,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023A","text":"Open-File Report 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1.0: September 2020: Version 1.1: July 2022","contact":"

Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508

","tableOfContents":"","publishedDate":"2020-09-17","revisedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2020-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":799118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":799119,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70213160,"text":"ofr20191023B - 2020 - Focus areas for data acquisition for potential domestic resources of 11 critical minerals in the conterminous United States, Hawaii, and Puerto Rico—Aluminum, cobalt, graphite, lithium, niobium, platinum-group elements, rare earth elements, tantalum, tin, titanium, and tungsten","interactions":[],"lastModifiedDate":"2026-03-25T16:54:19.281618","indexId":"ofr20191023B","displayToPublicDate":"2022-07-14T10:31:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1023","chapter":"B","displayTitle":"Focus Areas for Data Acquisition for Potential Domestic Resources of 11 Critical Minerals in the Conterminous United States, Hawaii, and Puerto Rico—Aluminum, Cobalt, Graphite, Lithium, Niobium, Platinum-Group Elements, Rare Earth Elements, Tantalum, Tin, Titanium, and Tungsten","title":"Focus areas for data acquisition for potential domestic resources of 11 critical minerals in the conterminous United States, Hawaii, and Puerto Rico—Aluminum, cobalt, graphite, lithium, niobium, platinum-group elements, rare earth elements, tantalum, tin, titanium, and tungsten","docAbstract":"

In response to a need for information on potential domestic sources of critical minerals, the Earth Mapping Resources Initiative (Earth MRI) was established to identify and prioritize areas for acquisition of new geologic mapping, geophysical data, and elevation data to improve our knowledge of the geologic framework of the United States. Phase 1 of Earth MRI concentrated on those geologic terranes favorable for hosting the rare earth elements (REEs). Phase 2 continued to address the REEs and also identified focus areas for potential domestic sources of 10 more of the 35 critical minerals on the U.S. critical minerals list (aluminum, cobalt, graphite, lithium, niobium, platinum-group elements, tantalum, tin, titanium, tungsten). This report describes the methodology, data sources, and summary results for mineral systems that host these 11 critical minerals in the conterminous United States, Hawaii, and Puerto Rico; Alaska is covered in a separate report. The mineral systems framework adopted for this study links critical mineral commodities to families of genetically related mineral deposit types. The mineral systems approach is an efficient approach, providing a simultaneous evaluation of geologic terranes through aggregation of genetically related mineral deposit types that are much larger than individual ore deposits. Geologic, geochemical, topographic, and geophysical mapping provided by Earth MRI will document geologic features that reflect the extent of individual mineral systems and provide information about critical mineral deposits that may not have been recognized previously.

Each critical mineral commodity is discussed in terms of importance to the Nation’s economy, modes of occurrence, mineral systems, and deposit types along with maps and tables listing examples of focus areas for each critical mineral. Important mineral systems for these critical minerals include chemical weathering systems for aluminum (bauxite); placer systems for titanium and REEs; metamorphic systems for graphite; mafic magmatic systems for platinum-group elements and cobalt; lacustrine evaporite and porphyry tin systems for lithium; and copper-molybdenum-gold (Cu-Mo-Au) systems for tungsten. REEs occur in many different mineral systems. Focus areas were developed by scientists from the U.S. Geological Survey in collaboration with scientists from State geological surveys and other institutions. This first national-scale compilation of focus areas represents an initial step in addressing the Nation’s critical mineral needs by screening areas for acquisition of new data to provide the geologic framework necessary for identifying domestic sources of critical minerals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191023B","collaboration":"Prepared in cooperation with American Association of State Geologists","usgsCitation":"Hammarstrom, J., Dicken, C., Day, W., Hofstra, A., Drenth, B., Shah, A., McCafferty, A., Woodruff, L., Foley, N., Ponce, D., Frost, T., and Stillings, L., 2020, Focus areas for data acquisition for potential domestic resources of 11 critical minerals in the conterminous United States, Hawaii, and Puerto Rico—Aluminum, cobalt, graphite, lithium, niobium, platinum-group elements, rare earth elements, tantalum, tin, titanium, and tungsten (ver. 1.1, July 2022), chap. B of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019–1023, 67 p., https://doi.org/10.3133/ofr20191023B.","productDescription":"xiii, 67 p.","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119187","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":436687,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U6SODG","text":"USGS data release","linkHelpText":"GIS for focus areas of potential domestic resources of 11 critical minerals-aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten (version 2.0, August 2020)"},{"id":436686,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CO8LR","text":"USGS data release","linkHelpText":"GIS for focus areas of potential domestic resources of 11 critical minerals - aluminum, cobalt, graphite, lithium, niobium, platinum group elements, rare earth elements, tantalum, tin, titanium, and tungsten"},{"id":403732,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://doi.org/10.3133/ofr20191023E","text":"Open-File Report 2019-1023-E","linkHelpText":"- Alaska Focus Area Definition for Data Acquisition for Potential Domestic Sources of Critical Minerals in Alaska for Antimony, Barite, Beryllium, Chromium, Fluorspar, Hafnium, Magnesium, Manganese, Uranium, Vanadium, and 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Coordinator, Mineral Resources Program
U.S. Geological Survey
913 National Center
Reston, VA 20192

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-09-18","revisedDate":"2022-07-14","noUsgsAuthors":false,"publicationDate":"2020-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammarstrom, Jane M. 0000-0003-2742-3460 jhammars@usgs.gov","orcid":"https://orcid.org/0000-0003-2742-3460","contributorId":1226,"corporation":false,"usgs":true,"family":"Hammarstrom","given":"Jane","email":"jhammars@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":798447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":798448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Warren C. 0000-0002-9278-2120 wday@usgs.gov","orcid":"https://orcid.org/0000-0002-9278-2120","contributorId":1308,"corporation":false,"usgs":true,"family":"Day","given":"Warren","email":"wday@usgs.gov","middleInitial":"C.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":798449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":798450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":798451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":798452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":798453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":798454,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":798455,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":798456,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Frost, Thomas P. 0000-0001-8348-8432 tfrost@usgs.gov","orcid":"https://orcid.org/0000-0001-8348-8432","contributorId":203,"corporation":false,"usgs":true,"family":"Frost","given":"Thomas","email":"tfrost@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":798457,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stillings, Lisa L. 0000-0002-9011-8891 stilling@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-8891","contributorId":193548,"corporation":false,"usgs":true,"family":"Stillings","given":"Lisa","email":"stilling@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":798458,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70228638,"text":"70228638 - 2020 - Animal movement models with mechanistic selection functions","interactions":[],"lastModifiedDate":"2022-02-16T21:09:54.812755","indexId":"70228638","displayToPublicDate":"2022-06-20T15:05:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5548,"text":"Spatial Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Animal movement models with mechanistic selection functions","docAbstract":"A suite of statistical methods are used to study animal movement. Most of\nthese methods treat animal trajectory data in one of three ways: as discrete pro-\ncesses, as continuous processes, or as point processes. We brie\ny review each of\nthese approaches and then focus in on the latter. In the context of point processes,\nso-called resource selection analyses are among the most common way to statis-\ntically treat animal trajectory data. However, most resource selection analyses provide inference based on approximations of point process models. The forms of\nthese models have been limited to a few types of specications that provide infer-\nence about relative resource use and, less commonly, probability of use. For more\ngeneral spatio-temporal point process models, the most common type of analysis\noften proceeds with a data augmentation approach that is used to create a binary\ndata set that can be analyzed with conditional logistic regression. We show that\nthe conditional logistic regression likelihood can be generalized to accommodate a\nvariety of alternative specications related to resource selection. We then provide\nan example of a case where a spatio-temporal point process model coincides with\nthat implied by a mechanistic model for movement expressed as a partial dier-\nential equation derived from rst principles of movement. We demonstrate that\ninference from this form of point process model is intuitive (and could be useful\nfor management and conservation) by analyzing a set of telemetry data from a\nmountain lion in Colorado, USA, to understand the eects of spatially explicit\nenvironmental conditions on movement behavior of this species.","language":"English","publisher":"Elsevier","doi":"10.1016/j.spasta.2019.100406","usgsCitation":"Hooten, M., Lu, X., Garlick, M., and Powell, J., 2020, Animal movement models with mechanistic selection functions: Spatial Statistics, v. 37, 100406, 14 p., https://doi.org/10.1016/j.spasta.2019.100406.","productDescription":"100406, 14 p.","ipdsId":"IP-113283","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":454582,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://arxiv.org/abs/1911.03549","text":"External Repository"},{"id":396041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":834902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Xinyi","contributorId":279368,"corporation":false,"usgs":false,"family":"Lu","given":"Xinyi","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garlick, Martha J.","contributorId":279369,"corporation":false,"usgs":false,"family":"Garlick","given":"Martha J.","affiliations":[{"id":57249,"text":"sdsmt","active":true,"usgs":false}],"preferred":false,"id":834904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Powell, James A.","contributorId":279370,"corporation":false,"usgs":false,"family":"Powell","given":"James A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":834905,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215148,"text":"70215148 - 2020 - Precious and base metal mineralization within the lower stratigraphy of the Stillwater Complex: New targets defined and old targets revisited","interactions":[],"lastModifiedDate":"2022-10-04T16:34:10.661429","indexId":"70215148","displayToPublicDate":"2022-06-01T11:24:50","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Precious and base metal mineralization within the lower stratigraphy of the Stillwater Complex: New targets defined and old targets revisited","docAbstract":"Group Ten Metals is exploring for base and precious metals within the Stillwater\nComplex, a 2.7 Ga layered mafic/ultramafic intrusion, host to the world-class Sibanye\nplatinum group element (PGE) mines. Group Ten controls approximately 25 kilometers\nof strike length of prospective mafic and ultramafic rocks in the western portion\nof the Complex. The property includes multiple target types and individual prospects.\n\nStillwater Complex magmatic stratigraphy is divided into three major series\nbased on the proportions of cumulus minerals—Basal, Ultramafic and Banded.\nGroup Ten explores primarily within the lower third of the intrusion, from the Basal\nSeries at the footwall contact, upwards into the Ultramafic Series which is divided\ninto a lower Peridotite Zone and an upper Bronzitite Zone.\n\nRocks of the Peridotite Zone are repetitive, laterally continuous and layered sequences\nof olivine, chromite and pyroxene cumulates. This model was developed in\nthe eastern portion of the Complex. Mapping in the western portion of the Complex\nindicates that the Peridotite Zone is thinner than to the east and with cyclic units not as\nregularly developed.\n\nGroup Ten has reviewed data from over 50 years of historical exploration in light\nof different commodity focus, land positions, analytical menus, and petrogenetic models\nto define a series of exploration targets. A six hole, 1,600 meter diamond drilling\nprogram targeting the Iron Mountain sector was completed in 2019; results are discussed\nin more detail below.\n\nAt Iron Mountain the primary targets are Ni-Cu-PGE magmatic sulfides located\nwithin the Basal Series and lower Peridotite Zone, near the basal contact of the Complex.\nImportant objectives included establishing the PGE tenor of sulfide mineralization\ndrilled by AMAX in the 1970’s and penetrating basement rock rafts known to\nconceal mineralized (but not previously analyzed) ultramafic rocks beneath. Drilling\nalso tested the PGE-enriched A-B chromitite package which rests stratigraphically\nabove the previously tested zones.\n\nAt Chrome Mountain, magmatic layering was disturbed or destroyed over large\nareas along a WNW axis that may be an artifact of early magma chamber deformation\nor result from much later, Laramide tectonism. Correlation of marker units, for\nexample chromitite seams, are problematic in the disturbed area; these rocks are\ntermed the Hybrid Unit. In addition, normal igneous stratigraphy appears to be intruded\nby discordant dunite masses, pyroxenite pegmatoids and magmatic breccias.\nThis unusual assemblage of rock types is accompanied by significant and previously\nunderappreciated PGE mineralization related to chromite schlieren and minor but\npersistent base metal sulfides.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2020 Symposium technical proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geological Society of Nevada","usgsCitation":"Bow, C., Ostenson, M., Modroo, J., and Andersen, A.K., 2020, Precious and base metal mineralization within the lower stratigraphy of the Stillwater Complex: New targets defined and old targets revisited, in 2020 Symposium technical proceedings, p. 383-394.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-115709","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":407862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bow, Craig","contributorId":242872,"corporation":false,"usgs":false,"family":"Bow","given":"Craig","email":"","affiliations":[{"id":48566,"text":"Group Ten Metals","active":true,"usgs":false}],"preferred":false,"id":800997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ostenson, Mike","contributorId":242873,"corporation":false,"usgs":false,"family":"Ostenson","given":"Mike","email":"","affiliations":[{"id":48566,"text":"Group Ten Metals","active":true,"usgs":false}],"preferred":false,"id":800998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Modroo, Justin","contributorId":242874,"corporation":false,"usgs":false,"family":"Modroo","given":"Justin","email":"","affiliations":[{"id":48566,"text":"Group Ten Metals","active":true,"usgs":false}],"preferred":false,"id":800999,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":801000,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211301,"text":"fs20203037 - 2020 - Assessment of water and proppant quantities associated with petroleum production from the Eagle Ford Group, Gulf Coast, Texas, 2019","interactions":[],"lastModifiedDate":"2026-03-18T19:52:04.756359","indexId":"fs20203037","displayToPublicDate":"2022-03-18T10:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3037","displayTitle":"Assessment of Water and Proppant Quantities Associated with Petroleum Production from the Eagle Ford Group, Gulf Coast, Texas, 2019","title":"Assessment of water and proppant quantities associated with petroleum production from the Eagle Ford Group, Gulf Coast, Texas, 2019","docAbstract":"

Building on a geology-based assessment of undiscovered, technically recoverable petroleum resources in the Eagle Ford Group in south Texas, the U.S. Geological Survey has estimated the required water and proppant demands and formation water production volumes associated with possible future development of these petroleum resources. The results of the water and proppant assessment are presented here, along with related drilling information and relevant water budget volumes for the region.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203037","usgsCitation":"Gianoutsos, N.J., Haines, S.S., Varela, B.A., Whidden, K.J., Birdwell, J.E., Burke, L.A., Drake, R.M, II, Finn, T.M., French, K.L., Jenni, K.E., Kinney, S.A., Le, P.A., Leathers-Miller, H.M., Marra, K.R., Mercier, T.J., Paxton, S.T., Pitman, J.K., Schenk, C.J., Shaffer, B.N., Shorten, C.M., Tennyson, M.E., and Woodall, C.A., 2020, Assessment of water and proppant quantities associated with petroleum production from the Eagle Ford Group, Gulf Coast, Texas, 2019 (ver 1.1, March 2022): U.S. Geological Survey Fact Sheet 2020-3037, 4 p., https://doi.org/10.3133/fs20203037.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"N","ipdsId":"IP-117221","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":501274,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_110420.htm","linkFileType":{"id":5,"text":"html"}},{"id":397279,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2020/3037/images"},{"id":397276,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2020/3037/fs20203037.xml"},{"id":397275,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2020/3037/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2020-3037 version history"},{"id":376646,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3037/fs20203037.pdf","text":"Report","size":"1.32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3037"},{"id":376647,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NWKE6G","text":"USGS data release","linkHelpText":"Input forms for 2019 water and proppant assessment of the Eagle Ford Group, Gulf Coast, Texas"},{"id":376645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3037/coverthb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Eagle Ford Group, Gulf Coast","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100.94238281249999,\n 25.58208527870072\n ],\n [\n -95.07568359375,\n 25.58208527870072\n ],\n [\n -95.07568359375,\n 29.420460341013133\n ],\n [\n -100.94238281249999,\n 29.420460341013133\n ],\n [\n -100.94238281249999,\n 25.58208527870072\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Originally posted July 27, 2020; Revised October March 18, 2022","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2020-07-27","revisedDate":"2022-03-18","noUsgsAuthors":false,"publicationDate":"2020-07-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Gianoutsos, Nicholas J. 0000-0002-6510-6549 ngianoutsos@usgs.gov","orcid":"https://orcid.org/0000-0002-6510-6549","contributorId":3607,"corporation":false,"usgs":true,"family":"Gianoutsos","given":"Nicholas","email":"ngianoutsos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":5058,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":793660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whidden, Katherine J. 0000-0002-7841-2553 kwhidden@usgs.gov","orcid":"https://orcid.org/0000-0002-7841-2553","contributorId":3960,"corporation":false,"usgs":true,"family":"Whidden","given":"Katherine","email":"kwhidden@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":793640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burke, Lauri A. 0000-0002-2035-8048 lburke@usgs.gov","orcid":"https://orcid.org/0000-0002-2035-8048","contributorId":3859,"corporation":false,"usgs":true,"family":"Burke","given":"Lauri","email":"lburke@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793641,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Drake, Ronald M. 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0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":793644,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jenni, Karen E. 0000-0001-9927-7509","orcid":"https://orcid.org/0000-0001-9927-7509","contributorId":219404,"corporation":false,"usgs":true,"family":"Jenni","given":"Karen E.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":793658,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kinney, Scott A. 0000-0001-5008-5813 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0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793656,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":793657,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70232230,"text":"70232230 - 2020 - Lesser prairie-chicken (Tympanuchus pallidicinctus) use of man-made water sources","interactions":[],"lastModifiedDate":"2022-06-16T13:48:05.370823","indexId":"70232230","displayToPublicDate":"2022-01-26T08:38:26","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Lesser prairie-chicken (Tympanuchus pallidicinctus) use of man-made water sources","title":"Lesser prairie-chicken (Tympanuchus pallidicinctus) use of man-made water sources","docAbstract":"

The lesser prairie-chicken (Tympanuchus pallidicinctus) occurs in the semiarid southern Great Plains, a region prone to periods of drought. Researchers generally believe that lesser prairie-chickens are able to satisfy their water requirements through preformed water and metabolic processes, but also know that they experience low survival and reproductive success during periods of drought. We used motion-sensing cameras to assess lesser prairie-chicken visits to man-made free water sources over a 48-month period from March 2009 to February 2013 in west Texas. Our objective was to examine temporal patterns of water use by lesser prairie-chickens, and to explore life history phenology and environmental conditions that may influence the species' use of free water. We documented 1,439 visits to water sources by lesser prairie-chickens. Their use of water sources was high during the winter months (December–February; 92 visits per 100 trap days) but the highest average visit rate to water sources occurred during the lekking-nesting life stage (March–May; 146 visits per 100 trap days). Water use was lower during the brood-rearing stage (June–August; 71 visits per 100 trap days) and lowest during the brood dispersal and independence stage (September–November; 19 visits per 100 trap days). Water use was strongly associated with dew point (P < 0.0001) and temperature (P = 0.0002) but was not associated with precipitation (P = 0.1037). These data indicate life-cycle stage (e.g., lekking-nesting) and reduced availability of preformed water may influence use of free water sources by lesser prairie-chickens. Current climate models predict the region of the study area will experience increases in temperature and decreases in frequency of precipitation. The combined effect of this would be reduced environmental moisture. If the prediction of increasing aridity in the region holds true, man-made water sources may become a tool for conservation of the species.

","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-65.3-4.197","usgsCitation":"Gicklhorn, T.S., Boal, C.W., and Borsdorf, P.K., 2020, Lesser prairie-chicken (Tympanuchus pallidicinctus) use of man-made water sources: Southwestern Naturalist, v. 65, no. 3-4, p. 197-204, https://doi.org/10.1894/0038-4909-65.3-4.197.","productDescription":"8 p.","startPage":"197","endPage":"204","ipdsId":"IP-083938","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":402264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Cochran County, Hockley County, Terry County, Yoakum County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.03802490234375,\n 33.01557297778958\n ],\n [\n -102.36785888671875,\n 33.01557297778958\n ],\n [\n -102.36785888671875,\n 33.73347670599252\n ],\n [\n -103.03802490234375,\n 33.73347670599252\n ],\n [\n -103.03802490234375,\n 33.01557297778958\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"65","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gicklhorn, Trevor S.","contributorId":166698,"corporation":false,"usgs":false,"family":"Gicklhorn","given":"Trevor","email":"","middleInitial":"S.","affiliations":[{"id":24740,"text":"Department of Natural Resources Management, Texas Tech University, Lubbock, TX, 79409, USA","active":true,"usgs":false}],"preferred":false,"id":844733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":844734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borsdorf, Philip K.","contributorId":93386,"corporation":false,"usgs":false,"family":"Borsdorf","given":"Philip","email":"","middleInitial":"K.","affiliations":[{"id":24740,"text":"Department of Natural Resources Management, Texas Tech University, Lubbock, TX, 79409, USA","active":true,"usgs":false}],"preferred":false,"id":844735,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208401,"text":"ofr20201012 - 2020 - Major-element compositional data and thermal data for drill core from Kīlauea Iki lava lake, plus analyses of glasses from scoria of the 1959 summit eruption of Kīlauea Volcano, Hawaii","interactions":[],"lastModifiedDate":"2021-12-16T12:03:49.083736","indexId":"ofr20201012","displayToPublicDate":"2021-12-15T15:40:00","publicationYear":"2020","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":"2020-1012","displayTitle":"Major-Element Compositional Data and Thermal Data for Drill Core from Kīlauea Iki Lava Lake, Plus Analyses of Glasses from Scoria of the 1959 Summit Eruption of Kīlauea Volcano, Hawaii","title":"Major-element compositional data and thermal data for drill core from Kīlauea Iki lava lake, plus analyses of glasses from scoria of the 1959 summit eruption of Kīlauea Volcano, Hawaii","docAbstract":"

This report presents electron microprobe data on glasses and selected crystalline phases from Kīlauea Iki lava lake and glasses from the 1959 summit eruption of Kīlauea Volcano, Hawaii. Some of these data have been published previously, but the complete set has not been published before. In addition, this report includes electron microprobe data for phases in melting experiments reported earlier, which form the basis for using many of the glass compositions reported here to estimate quenching temperatures of the samples. Finally, because of the latter application, this report includes all useful field determinations of temperature taken in Kīlauea Iki boreholes from 1967 to 1988. These field measurements have been merged with geothermometry based on glass and Fe-Ti oxide compositions to produce a comprehensive review of all available thermal information for Kīlauea Iki. Making these datasets available completes documentation of field and chemical information on Kīlauea Iki lava lake, supplementing six previous U.S. Geological Survey Open-File Reports listed in the References Cited.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201012","usgsCitation":"Helz, R.T., 2020, Major-element compositional data and thermal data for drill core from Kīlauea Iki lava lake, plus analyses of glasses from scoria of the 1959 summit eruption of Kīlauea Volcano, Hawaii (ver 1.1, December 2021): U.S. Geological Survey Open-File Report 2020–1012, 48 p., https://doi.org/10.3133/ofr20201012.","productDescription":"Report: v, 48 p.; Appendix 1-2","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-109981","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":374174,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1012/ofr20201012_appendix1.xlsx","text":"Appendix 1","size":"206 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Tables 1.1–1.13 as an Excel file"},{"id":374175,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1012/ofr20201012_appendix2.xlsx","text":"Appendix 2","size":"48.5 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Tables 2.1–2.4 as an Excel file"},{"id":374172,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1012/coverthb2.jpg"},{"id":374177,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1012/ofr20201021_appendix2_csv.zip","text":"Appendix 2","size":"5.50 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Tables 2.1–2.4 as CSV files in a zipped folder"},{"id":374205,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1012/ofr20201012.pdf","text":"Report","size":"3.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1012"},{"id":392665,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1012/versionHist.txt","size":"691 B","linkFileType":{"id":2,"text":"txt"}},{"id":374176,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1012/ofr20201021_appendix1_csv.zip","text":"Appendix 1","size":"41.5 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Tables 1.1–1.13 as CSV files in a zipped folder"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.30410766601562,\n 19.38759093442151\n ],\n [\n -155.2306365966797,\n 19.38759093442151\n ],\n [\n -155.2306365966797,\n 19.44846418467642\n ],\n [\n -155.30410766601562,\n 19.44846418467642\n ],\n [\n -155.30410766601562,\n 19.38759093442151\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: April 23, 2020; Version 1.1: December 15, 2021","contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 21092

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-04-23","revisedDate":"2021-12-15","noUsgsAuthors":false,"publicationDate":"2020-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Helz, Rosalind Tuthill 0000-0003-1550-0684","orcid":"https://orcid.org/0000-0003-1550-0684","contributorId":16806,"corporation":false,"usgs":true,"family":"Helz","given":"Rosalind Tuthill","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":781733,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70214145,"text":"70214145 - 2020 - Seismic monitoring & response for the Trans-Alaska Pipeline System","interactions":[],"lastModifiedDate":"2024-02-21T15:50:09.404918","indexId":"70214145","displayToPublicDate":"2021-12-01T11:22:40","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seismic monitoring & response for the Trans-Alaska Pipeline System","docAbstract":"The 800-mile Trans Alaska Pipeline System (TAPS) passes through extremely remote regions, where there is a high potential for seismic activity. Alyeska Pipeline Service Company, the TAPS operator, has been on the forefront of seismic engineering and situational awareness, and continues to enhance its capabilities. TAPS has used earthquake monitoring since the pipeline was constructed in 1977 and recently upgraded to a fourth-generation of its monitoring system. This upgrade includes recent technology to improve accuracy and increase system redundancy, and it incorporates lessons learned during the 2018 M6.3 Kaktovik and the 2018 M7.1 Anchorage earthquakes. The modernized earthquake monitoring system includes strong-motion accelerograph stations installed at key locations along the pipeline tied into the control system to provide real-time detection of seismic events. The accelerometers also telemeter data to provide local constraints in ShakeMap so that they not only provide site-specific shaking values, but also contribute openly to constraining ground motions elsewhere so shaking at locations without stations can be better inferred. Alyeska then employs U. S. Geological Survey’s ShakeCast system to automatically ingest the ShakeMap to provide near real-time alerts of shaking as well as inspection priorities across the system, both for pipeline assets and infrastructure. TAPS stakeholders who receive ShakeCast alerts via email and text messages include controllers, engineers, and emergency managers. As part of our standard post-earthquake protocol, damage assessment checklists have been pre-deployed at multiple locations to guide these teams as they determine the integrity of TAPS following an event. This unprecedented level of situational awareness allows for rapid prioritization and deployment of damage assessment teams. The purpose of this manuscript is to expand on the details of these systems.","conferenceTitle":"17th World Conference on Earthquake Engineering","conferenceDate":"September 13-18, 2020","conferenceLocation":"Sendai, Japan","language":"English","publisher":"Japan Association for Earthquake Engineering","usgsCitation":"Strait, S., and Wald, D.J., 2020, Seismic monitoring & response for the Trans-Alaska Pipeline System, 17th World Conference on Earthquake Engineering, Sendai, Japan, September 13-18, 2020, 12 p.","productDescription":"12 p.","ipdsId":"IP-116224","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378710,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://wcee.nicee.org/wcee/seventeenth_conf_sendai_japan/","linkFileType":{"id":5,"text":"html"}},{"id":425800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -144.3699605637841,\n 60.231305314797595\n ],\n [\n -144.3699605637841,\n 70.37934050762061\n ],\n [\n -152.86285792275456,\n 70.37934050762061\n ],\n [\n -152.86285792275456,\n 60.231305314797595\n ],\n [\n -144.3699605637841,\n 60.231305314797595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Strait, S","contributorId":241100,"corporation":false,"usgs":false,"family":"Strait","given":"S","email":"","affiliations":[{"id":48206,"text":"Alyeska Pipeline Service Company","active":true,"usgs":false}],"preferred":false,"id":799561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799562,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70214144,"text":"70214144 - 2020 - An update of USGS bear-real-time earthquake shaking and impact products","interactions":[],"lastModifiedDate":"2024-02-21T15:49:50.02989","indexId":"70214144","displayToPublicDate":"2021-12-01T11:11:54","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An update of USGS bear-real-time earthquake shaking and impact products","docAbstract":"We report on advancements in both hazard and consequence modeling that form the core of the U.S. Geological Survey’s (USGS) strategy to improve rapid earthquake shaking and loss estimates. Whereas our primary goal is to improve our operational capabilities of the USGS National Earthquake Information Center, the science, software, and datasets behind these systems continue to advance uses and studies of earthquake shaking and impact by the seismological, engineering, financial, and risk modeling communities. Several important updates to our integrated shaking and impact products are outlined and we introduce new earthquake information products that have recently been brought online, including rapid ground failure estimates and more spatially refined loss estimates domestically (in the U.S). We continue to compile, develop, and refine key openly available models and datasets that contribute to calibrating these systems and report on the collection and storage of new inventories. We also describe some of the basic operational considerations in the current generation of these shaking and loss-estimation systems. A key aspect of the product integration and development is leveraging earthquake-hazard and loss-modeling science done internally (within the USGS) and by external researchers and collaborators. Lastly, we outline new opportunities for further research and development by emphasizing scientific, data, and application gaps and challenges that must be solved in order to improve our shaking and impact information tools.","conferenceTitle":"17th World Conference on Earthquake Engineering","conferenceDate":"September 13-18, 2020","conferenceLocation":"Sendai, Japan","language":"English","publisher":"Japan Association for Earthquake Engineering","usgsCitation":"Wald, D.J., Jaiswal, K.S., Marano, K., Hearne, M., Lin, K., Slosky, D., Allstadt, K.E., Thompson, E.M., Worden, C., Hayes, G.P., and Quitoriano, V., 2020, An update of USGS bear-real-time earthquake shaking and impact products, 17th World Conference on Earthquake Engineering, Sendai, Japan, September 13-18, 2020, 12 p.","productDescription":"12 p.","ipdsId":"IP-116227","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":378709,"rank":2,"type":{"id":15,"text":"Index 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klin@usgs.gov","orcid":"https://orcid.org/0000-0002-7520-8151","contributorId":1539,"corporation":false,"usgs":true,"family":"Lin","given":"Kuo-wan","email":"klin@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Slosky, Daniel 0000-0001-7407-3606 dslosky@usgs.gov","orcid":"https://orcid.org/0000-0001-7407-3606","contributorId":194954,"corporation":false,"usgs":true,"family":"Slosky","given":"Daniel","email":"dslosky@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Worden, Charles 0000-0003-1181-685X 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vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":799560,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70208800,"text":"70208800 - 2020 - An exploration of parametric earthquake risk transfer solutions that dynamically adapt to seismicity changes","interactions":[],"lastModifiedDate":"2024-02-21T15:49:29.156746","indexId":"70208800","displayToPublicDate":"2021-12-01T10:47:58","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"An exploration of parametric earthquake risk transfer solutions that dynamically adapt to seismicity changes","docAbstract":"

(Re)insurance companies rely on earthquake risk models to estimate the frequency and severity of their potential financial losses. To protect themselves, they sometimes use parametric risk transfer solutions, which are derivative-form agreements that provide compensation as a function of routine measurable earthquake characteristics. These mechanisms typically remain in force for one to three years and assume seismic conditions—and our estimates of them—remain unchanged during this period. However, seismic risk estimates evolve continuously due to changes in nearby seismicity, sudden ruptures, slower redistributions of stress, or improvements in our own understanding of these phenomena. As a consequence, the likelihood of some loss-causing events might decrease and make the protection superfluous (wasted money), or, more problematically, it might increase and render the protection insufficient (increased risk). This paper explores the construction of parametric earthquake risk transfer mechanisms that adapt efficiently (i.e., near real-time) to changes in seismicity throughout the lifetime of the transaction. The mechanism proposes the periodic adjustment of the payment conditions of the parametric agreement in harmony with the evolving probabilities of event occurrence. This, we hypothesize, may result in a more efficient allocation of premiums that reflects the changing nature of seismic risk. To build the proposed dynamic risk transfer mechanism, we first employ one of the earthquake models commonly used in the (re)insurance industry to assess the risk of a portfolio of assets. The modeling exercise yields the expected frequency distribution of loss, which a standard (re)insurance transaction would typically consider constant for the entire coverage period. Here, we use these results simply as a baseline for the initial time step of reference. Next, we construct a retrospective update loop, which consists of two parts: (1) we obtain the earthquake occurrence rate conditions at a previous time step taking into account the changes in seismicity observed in the interim period; and (2) we use the modeled losses and adjusted frequencies at the new time step to build a parametric risk transfer solution. This parametric solution remains in force until it is updated at the next iteration. We also track the effects on the efficiency of the risk transfer solution and its premium if these continuous updates were not implemented.

We apply the proposed mechanism to California and find that changes in seismicity can cause swings in the frequency of parametric payments (which is related to the premium paid for the cover) in average of 16% and up to 36% in any three-year period from 1986 to 2020. We also find that avoiding an update of the parametric solution on a yearly basis to match the new risk profile can decrease the efficiency of the cover (measured as the relative contribution to the average annual loss of the events covered) in the same time period by 13% on average and up to 35%.

","conferenceTitle":"17th World Conference on Earthquake Engineering, 17WCEE","conferenceDate":"September 13-18, 2020","conferenceLocation":"Sendai, Japan","language":"English","publisher":"Japan Association for Earthquake Engineering","usgsCitation":"Franco, G., Guidotti, R., Field, E., Milner, K., Lee, Y., and Stein, R.S., 2020, An exploration of parametric earthquake risk transfer solutions that dynamically adapt to seismicity changes, 17th World Conference on Earthquake Engineering, 17WCEE, Sendai, Japan, September 13-18, 2020, 12 p.","productDescription":"12 p.","ipdsId":"IP-117006","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":425797,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://wcee.nicee.org/wcee/seventeenth_conf_sendai_japan/","linkFileType":{"id":5,"text":"html"}},{"id":425798,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Franco, Guillermo","contributorId":194951,"corporation":false,"usgs":false,"family":"Franco","given":"Guillermo","email":"","affiliations":[],"preferred":false,"id":783436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guidotti, R","contributorId":222891,"corporation":false,"usgs":false,"family":"Guidotti","given":"R","email":"","affiliations":[{"id":40620,"text":"Guy Carpenter","active":true,"usgs":false}],"preferred":false,"id":783437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":1165,"corporation":false,"usgs":true,"family":"Field","given":"Edward H.","email":"field@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":783435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milner, K.R.","contributorId":222892,"corporation":false,"usgs":false,"family":"Milner","given":"K.R.","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":783438,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Y.J.","contributorId":222893,"corporation":false,"usgs":false,"family":"Lee","given":"Y.J.","affiliations":[{"id":40621,"text":"ImageCat Inc.","active":true,"usgs":false}],"preferred":false,"id":783439,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, R. S.","contributorId":222894,"corporation":false,"usgs":false,"family":"Stein","given":"R.","email":"","middleInitial":"S.","affiliations":[{"id":40622,"text":"Temblor","active":true,"usgs":false}],"preferred":false,"id":783440,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228603,"text":"70228603 - 2020 - Decision context as an essential component of population viability analysis","interactions":[],"lastModifiedDate":"2022-02-14T14:59:02.146641","indexId":"70228603","displayToPublicDate":"2021-09-30T08:41:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Decision context as an essential component of population viability analysis","docAbstract":"

Population viability analysis (PVA) is a widely used tool that applies demographic data in simulation frameworks to assess extinction risk for species or populations. It is used in diverse conservation applications, including evaluating management effectiveness, relative risk of threats, and potential changes to protective status (Beissinger & McCullough, 2002), and can be a critical tool for making decisions with imperfect knowledge of the system state, often on limited timelines (Meine et al., 2006).

Chaudhary and Oli (2020) recently developed a framework to appraise the quality of PVAs based on the presence of essential background, model, and analysis components. They evaluated 160 published PVAs and reported a decline in the quality of PVAs over time (1990−2017). We agree PVA studies should report unambiguous descriptions of their essential components (Table 1 in Chaudhary and Oli) and explicitly state the model's biological and statistical assumptions. The need for increased transparency in PVAs is evident. Morrison et al. (2016) reported that only 50% of PVAs published in peer-reviewed and gray literature were both reproducible and repeatable. Further, in an examination of 67 studies that used matrix population models (widely used in PVAs), Kendall et al. (2019) reported that models frequently contained misspecification errors. Given the rapid advancement of simulation techniques, updated guidance for PVA construction is warranted.

However, we believe the essential PVA components identified by Chaudhary and Oli contain a critical omission: the decision context in which the PVA was created and its usefulness in that context. Quality and utility are not mutually exclusive; however, some models that do not meet idealized quality standards might still be valuable because they are useful and represent the best available science for a given decision context (hereafter, decision-support models). The definition of quality for decision-support models should be different than models developed for the purpose of learning (hereafter, heuristic models) and should incorporate how useful the model was, despite information gaps. We further argue that assessment questions should be used prospectively to guide modeling projects, rather than for retrospective comparison of model quality.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.13818","usgsCitation":"Lawson, A.J., Folt, B., Tucker, A.M., Erickson, F.T., and McGowan, C.P., 2020, Decision context as an essential component of population viability analysis: Conservation Biology, no. 5, p. 1683-1685, https://doi.org/10.1111/cobi.13818.","productDescription":"3 p.","startPage":"1683","endPage":"1685","ipdsId":"IP-118153","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":395881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"5","noUsgsAuthors":false,"publicationDate":"2021-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Folt, Brian","contributorId":267702,"corporation":false,"usgs":false,"family":"Folt","given":"Brian","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Anna Maureen 0000-0002-1473-2048 amtucker@usgs.gov","orcid":"https://orcid.org/0000-0002-1473-2048","contributorId":257906,"corporation":false,"usgs":true,"family":"Tucker","given":"Anna","email":"amtucker@usgs.gov","middleInitial":"Maureen","affiliations":[],"preferred":true,"id":834749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Francesca T.","contributorId":276320,"corporation":false,"usgs":false,"family":"Erickson","given":"Francesca","email":"","middleInitial":"T.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":834751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70213131,"text":"70213131 - 2020 - Lampricide residues in sea lamprey larvae carcasses recovered after 3-trifluoromethyl-4- nitrophenol (TFM) or TFM/Bayluscide stream treatments","interactions":[],"lastModifiedDate":"2022-04-21T16:58:18.655836","indexId":"70213131","displayToPublicDate":"2021-09-01T11:51:06","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":7568,"text":"Project Completion Report","active":true,"publicationSubtype":{"id":3}},"title":"Lampricide residues in sea lamprey larvae carcasses recovered after 3-trifluoromethyl-4- nitrophenol (TFM) or TFM/Bayluscide stream treatments","docAbstract":"

Lampricide concentrations in whole larval sea lamprey (Petromyzon marinus) carcasses collected after lampricide treatments were determined to support risk assessment for non-target organisms that may consume lampricide-laden carcasses. Dead larvae were collected by Sea Lamprey Control personnel following the Ford River (Delta County, Michigan) 4.1 mg·L-1 3-trifluoromethyl-4-nitrophenol (TFM) treatment, Sturgeon River (Baraga County, Michigan) 0.64 mg·L-1 /7.1 µg·L-1 TFM/niclosamide treatment, and two treatments on the Chippewa River (Isabella County, Michigan). The upper reach of the Chippewa River was treated with 3.1 mg·L-1 /33 µg·L-1 TFM/Bayluscide and the lower reach was treated with 4.1 mg·L-1 TFM. Carcasses were removed from each stream via scap nets immediately after treatment completion. To assess instream degradation, half of the collected carcasses from both Chippewa River treatments were placed in cages and returned to the river for 2 days before they were analyzed for lampricide residues. The estimated mean and standard error of the mean (SEM) TFM concentration in the fresh carcasses (n = 80) collected from all the TFM and TFM/Bayluscide treated rivers was 4.6 µg·g-1 (SEM =1.1 µg·g-1 ). The mean concentration of niclosamide (the active ingredient in Bayluscide) in the fresh carcasses (n = 40) from the two rivers treated with TFM/ Bayluscide was 0.49 µg·g-1 (SEM = 0.21 µg·g-1 ). The mean 2-day postmortem carcasses from the Chippewa River TFM/Bayluscide treatment contained 0.14 µg·g-1 (3%) of the TFM and 0.41 µg·g-1 (64%) of the niclosamide found in the fresh-carcass group (4.4 µg·g-1 TFM and 0.64 µg·g-1 niclosamide). The mean 2-day postmortem carcasses from the Chippewa River TFM treatment contained 0.72 µg·g-1 (12%) compared to the 6.1 µg·g-1 of TFM found in the fresh-carcass group.

","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Bernardy, J., and Schloesser, N., 2020, Lampricide residues in sea lamprey larvae carcasses recovered after 3-trifluoromethyl-4- nitrophenol (TFM) or TFM/Bayluscide stream treatments: Project Completion Report, 16 p.","productDescription":"16 p.","ipdsId":"IP-112331","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":399097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":399096,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/"}],"country":"United States","state":"Michigan","otherGeospatial":"Chippewa river, Ford River, Harlow Creek, Sturgeon River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.6761474609375,\n 46.57774276255591\n ],\n [\n -88.3465576171875,\n 46.57774276255591\n ],\n [\n -88.3465576171875,\n 46.916503267244835\n ],\n [\n -88.6761474609375,\n 46.916503267244835\n ],\n [\n -88.6761474609375,\n 46.57774276255591\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.16312408447266,\n 45.66132705384569\n ],\n [\n -87.12089538574219,\n 45.66132705384569\n ],\n [\n -87.12089538574219,\n 45.69395042477016\n ],\n [\n -87.16312408447266,\n 45.69395042477016\n ],\n [\n -87.16312408447266,\n 45.66132705384569\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.220947265625,\n 43.51270490464819\n ],\n [\n -84.48486328124999,\n 43.51270490464819\n ],\n [\n -84.48486328124999,\n 43.96119063892024\n ],\n [\n -85.220947265625,\n 43.96119063892024\n ],\n [\n -85.220947265625,\n 43.51270490464819\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.48631954193115,\n 46.628663099851025\n ],\n [\n -87.4681234359741,\n 46.628663099851025\n ],\n [\n -87.4681234359741,\n 46.63880017254108\n ],\n [\n -87.48631954193115,\n 46.63880017254108\n ],\n [\n -87.48631954193115,\n 46.628663099851025\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bernardy, Jeffry 0000-0001-7443-1995","orcid":"https://orcid.org/0000-0001-7443-1995","contributorId":213528,"corporation":false,"usgs":true,"family":"Bernardy","given":"Jeffry","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":798336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schloesser, Nicholas 0000-0002-3815-5302","orcid":"https://orcid.org/0000-0002-3815-5302","contributorId":237025,"corporation":false,"usgs":true,"family":"Schloesser","given":"Nicholas","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":798337,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223674,"text":"70223674 - 2020 - Outside the box: Working with wildlife in biocontainment","interactions":[],"lastModifiedDate":"2022-01-25T16:48:58.603578","indexId":"70223674","displayToPublicDate":"2021-08-23T08:22:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5255,"text":"ILAR Journal","active":true,"publicationSubtype":{"id":10}},"title":"Outside the box: Working with wildlife in biocontainment","docAbstract":"

Research with captive wildlife in Animal Biosafety Level 2 (ABSL2) and 3 (ABSL3) facilities is becoming increasingly necessary as emerging and re-emerging diseases involving wildlife have increasing impacts on human, animal, and environmental health. Utilizing wildlife species in a research facility often requires outside the box thinking with specialized knowledge, practices, facilities, and equipment. The USGS National Wildlife Health Center (NWHC) houses an ABSL3 facility dedicated to understanding wildlife diseases and developing tools to mitigate their impacts on animal and human health. This review presents considerations for utilizing captive wildlife for infectious disease studies, including, husbandry, animal welfare, veterinary care, and biosafety. Examples are drawn from primary literature review and collective 40-year experience of the NWHC. Working with wildlife in ABSL2 and ABSL3 facilities differs from laboratory animals in that typical laboratory housing systems, husbandry practices, and biosafety practices are not designed for work with wildlife. This requires thoughtful adaptation of standard equipment and practices, invention of customized solutions and development of appropriate enrichment plans using the natural history of the species and the microbiological characteristics of introduced and native pathogens. Ultimately, this task requires critical risk assessment, understanding of the physical and psychological needs of diverse species, creativity, innovation, and flexibility. Finally, continual reassessment and improvement are imperative in this constantly changing specialty area of infectious disease and environmental hazard research.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ilar/ilab025","usgsCitation":"Falendysz, E., Calhoun, D.M., Smith, C.A., and Sleeman, J.M., 2020, Outside the box: Working with wildlife in biocontainment: ILAR Journal, v. 61, no. 1, p. 72-85, https://doi.org/10.1093/ilar/ilab025.","productDescription":"14 p.","startPage":"72","endPage":"85","ipdsId":"IP-123136","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ilar/ilab025","text":"Publisher Index Page"},{"id":388725,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-08-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":822284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Dana Marie 0000-0002-9483-2064","orcid":"https://orcid.org/0000-0002-9483-2064","contributorId":245039,"corporation":false,"usgs":true,"family":"Calhoun","given":"Dana","email":"","middleInitial":"Marie","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":822285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Carrie Alison 0000-0002-2684-3407","orcid":"https://orcid.org/0000-0002-2684-3407","contributorId":228816,"corporation":false,"usgs":true,"family":"Smith","given":"Carrie","email":"","middleInitial":"Alison","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":822286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":822287,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221395,"text":"70221395 - 2020 - Asian carp population modeling to support an adaptive management framework","interactions":[],"lastModifiedDate":"2021-06-14T13:17:12.747593","indexId":"70221395","displayToPublicDate":"2021-06-01T08:15:31","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Asian carp population modeling to support an adaptive management framework","docAbstract":"This Monitoring and Response Plan provides the Asian Carp Regional Coordinating Committee (ACRCC) with updates on FWS and USGS modeling efforts for the Spatially Explicit Asian carp Population (SEAcarP) model. For FY2020, efforts are underway to parameterize and analyze the SEAcarP model. Themes: invasive species; Asian carp; Great Lakes.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Monitoring Response Plans, Asian Carp Regional Coordinating Committee","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Asian Carp Regional Coordinating Committee","collaboration":"U.S. Fish and Wildlife Service; ACRCC","usgsCitation":"Kallis, J.L., Erickson, R.A., and Fritts, M.W., 2020, Asian carp population modeling to support an adaptive management framework, 6 p.","productDescription":"6 p.","startPage":"95","endPage":"100","ipdsId":"IP-119007","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":386470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386461,"type":{"id":15,"text":"Index Page"},"url":"https://www.asiancarp.us/PlansReports.html"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River Waterway system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 41.73852846935917\n ],\n [\n -87.62695312499999,\n 42.00032514831621\n ],\n [\n -87.8466796875,\n 42.00032514831621\n ],\n [\n -88.26416015625,\n 41.713930073371294\n ],\n [\n -88.857421875,\n 41.60722821271717\n ],\n [\n -89.439697265625,\n 41.44272637767212\n ],\n [\n -89.8681640625,\n 41.253032440653186\n ],\n [\n -90.32958984375,\n 40.64730356252251\n ],\n [\n -90.791015625,\n 39.93501296038254\n ],\n [\n -90.791015625,\n 39.257778150283364\n ],\n [\n -90.52734374999999,\n 38.659777730712534\n ],\n [\n -90.098876953125,\n 38.65119833229951\n ],\n [\n -90.087890625,\n 39.07037913108751\n ],\n [\n -90.4833984375,\n 39.45316112807394\n ],\n [\n -90.06591796875,\n 40.027614437486655\n ],\n [\n -89.088134765625,\n 40.94671366508002\n ],\n [\n -88.2861328125,\n 41.29431726315258\n ],\n [\n -87.5830078125,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kallis, Jahn L.","contributorId":205603,"corporation":false,"usgs":false,"family":"Kallis","given":"Jahn","email":"","middleInitial":"L.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":817507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817508,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritts, Mark W.","contributorId":139239,"corporation":false,"usgs":false,"family":"Fritts","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":817509,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221394,"text":"70221394 - 2020 - USGS Illinois River monitoring and evaluation","interactions":[],"lastModifiedDate":"2021-11-01T19:06:35.968534","indexId":"70221394","displayToPublicDate":"2021-06-01T08:08:15","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"displayTitle":"USGS Illinois River Monitoring and Evaluation","title":"USGS Illinois River monitoring and evaluation","docAbstract":"Asian carp monitoring and contract removal will continue throughout the Upper Illinois Waterway system as needed for adaptive management to mitigate, control, and contain Asian carp. Compiling data from monitoring and removal efforts into a centralized database (Illinois River Catch Database application) facilitates data standardization, quality, accessibility, sharing, and analysis to aid in Asian carp removal efforts, evaluations of management actions, and modeling efforts (e.g., SEACarP model). Data summarization, visualization, and modeling supports a better understanding of bigheaded carp life history, behavior, and habitat use. Integrating Asian carp-related data and analyses into decision support tools and products aids in applying control and containment methods in an informed and transparent manner (e.g., improved efficiencies in implementations of the Unified Method, inform targeted removal efforts or deterrent deployments in key locations based on preferential benthic characteristics and environmental conditions).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2020 Asian Carp Monitoring and Response Plan","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Invasive Species Regional Coordinating Committee","usgsCitation":"Harrison, T.J., Hop, K.D., Hlavacek, E., and Knights, B.C., 2020, USGS Illinois River monitoring and evaluation, 4 p.","productDescription":"4 p.","startPage":"87","endPage":"90","ipdsId":"IP-119472","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":386469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391210,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://invasivecarp.us/Documents/Monitoring-Response-Plan-2020.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River Waterway system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.5830078125,\n 41.73852846935917\n ],\n [\n -87.62695312499999,\n 42.00032514831621\n ],\n [\n -87.8466796875,\n 42.00032514831621\n ],\n [\n -88.26416015625,\n 41.713930073371294\n ],\n [\n -88.857421875,\n 41.60722821271717\n ],\n [\n -89.439697265625,\n 41.44272637767212\n ],\n [\n -89.8681640625,\n 41.253032440653186\n ],\n [\n -90.32958984375,\n 40.64730356252251\n ],\n [\n -90.791015625,\n 39.93501296038254\n ],\n [\n -90.791015625,\n 39.257778150283364\n ],\n [\n -90.52734374999999,\n 38.659777730712534\n ],\n [\n -90.098876953125,\n 38.65119833229951\n ],\n [\n -90.087890625,\n 39.07037913108751\n ],\n [\n -90.4833984375,\n 39.45316112807394\n ],\n [\n -90.06591796875,\n 40.027614437486655\n ],\n [\n -89.088134765625,\n 40.94671366508002\n ],\n [\n -88.2861328125,\n 41.29431726315258\n ],\n [\n -87.5830078125,\n 41.73852846935917\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harrison, Travis J. 0000-0002-9195-738X","orcid":"https://orcid.org/0000-0002-9195-738X","contributorId":213966,"corporation":false,"usgs":true,"family":"Harrison","given":"Travis","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817503,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hop, Kevin D. 0000-0002-9928-4773 khop@usgs.gov","orcid":"https://orcid.org/0000-0002-9928-4773","contributorId":1438,"corporation":false,"usgs":true,"family":"Hop","given":"Kevin","email":"khop@usgs.gov","middleInitial":"D.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817504,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hlavacek, Enrika 0000-0002-9872-2305 ehlavacek@usgs.gov","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":149114,"corporation":false,"usgs":true,"family":"Hlavacek","given":"Enrika","email":"ehlavacek@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817505,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knights, Brent C. 0000-0001-8526-8468 bknights@usgs.gov","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":2906,"corporation":false,"usgs":true,"family":"Knights","given":"Brent","email":"bknights@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":817506,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210044,"text":"ofr20201042 - 2020 - Systems-deposits-commodities-critical minerals table for the earth mapping resources initiative","interactions":[],"lastModifiedDate":"2021-05-28T19:26:40.9176","indexId":"ofr20201042","displayToPublicDate":"2021-05-28T11:40:00","publicationYear":"2020","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":"2020-1042","displayTitle":"Systems-Deposits-Commodities-Critical Minerals Table for the Earth Mapping Resources Initiative","title":"Systems-deposits-commodities-critical minerals table for the earth mapping resources initiative","docAbstract":"

To define and prioritize focus areas across the United States with resource potential for 35 critical minerals in a few years’ time, the U.S Geological Survey Earth Mapping Resources Initiative (Earth MRI) required an efficient approach to streamline workflow. A mineral systems approach based on current understanding of how ore deposits that contain critical minerals form and relate to broader geologic frameworks and the tectonic history of the Earth was used to satisfy this Earth MRI need. This report describes the rationale for, and structure of, a table developed for Earth MRI that relates critical minerals and principal commodities to the deposit types and mineral systems in which they are concentrated. The hierarchical relationship between systems, deposits, commodities, and critical minerals makes it possible to define and prioritize each system-based focus area once for all of the critical minerals that it may contain. This approach is advantageous because mineral systems are much larger than individual ore deposits and they generally have geologic features that can be “imaged” by the topographic, geologic, geochemical, and geophysical mapping techniques deployed by Earth MRI.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201042","usgsCitation":"Hofstra, A.H., and Kreiner, D.C., 2020, Systems-Deposits-Commodities-Critical Minerals Table for the Earth Mapping Resources Initiative (ver. 1.1, May 2021): U.S. Geological Survey Open-File Report 2020–1042, 26 p., \nhttps://doi.org/10.3133/ofr20201042.","productDescription":"Report: vii, 24 p.; Table","onlineOnly":"Y","ipdsId":"IP-115500","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":374652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1042/coverthb2.jpg"},{"id":374653,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1042/ofr20201042.pdf","text":"Report","size":"3.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1042"},{"id":374654,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2020/1042/ofr20201042_table1.pdf","text":"Table 1. Systems-Deposits-Commodities-Critical Minerals Table for the Earth Mapping Resources Initiative","size":"196 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1042 Table 1"},{"id":385684,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2020/1042/versionHist.txt","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2020-1042 version history"}],"edition":"Version 1.0: May 28, 2020; Version 1.1: May 19, 2021","contact":"

Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
MS 973, Box 25046
Denver, CO 80225

","tableOfContents":"","publishedDate":"2020-05-14","revisedDate":"2021-05-28","noUsgsAuthors":false,"publicationDate":"2020-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":788912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":788914,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228246,"text":"70228246 - 2020 - Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance","interactions":[],"lastModifiedDate":"2022-02-14T12:36:44.43114","indexId":"70228246","displayToPublicDate":"2021-05-15T12:18:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance","docAbstract":"

Anadromous Pacific salmon Oncorhynchus spp. are semelparous, and resource subsidies from spawning adult salmon (marine-derived nutrients [MDN]) benefit juvenile salmonids while they rear in freshwater. However, it is unclear if juvenile salmon populations respond predictably to the abundance of spawning salmon at the watershed scale. To address whether hypothesized benefits to rearing juveniles scale up to population and watershed scales, we examined juvenile Coho Salmon Oncorhynchus kisutch and Chinook Salmon O. tshawytscha growth, fork length, condition, and abundance as a function of MDN assimilation throughout the Unalakleet and North rivers in western Alaska. Additionally, a mark–recapture experiment provided abundance estimates of Coho Salmon smolts emigrating from these two rivers. Prior to spawning, residual MDN from past years offered little advantage to juvenile salmon. However, after the arrival of spawning adults, juveniles demonstrated a positive relationship between MDN and fish size, growth, and condition in fall and winter. Out-migrating smolts also benefitted from MDN resources via increased size and growth rates. Coho Salmon smolt abundance was unrelated to total spawner biomass, but a positive relationship between MDN assimilation and smolt abundance suggested a possible effect on overwinter survival. Furthermore, similar trends in spawner biomass and the abundance of age-1 smolts suggested that age at smolting was influenced by MDN. These relationships support the hypothesis that salmon spawner abundance during Coho and Chinook Salmon rearing is an important factor in the juvenile productivity of these species.

","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10233","usgsCitation":"Joy, P.J., Stricker, C.A., Ivanoff, R., Wang, S.Y., Wipfli, M.S., Seitz, A., Huang, J., and Tyers, M.B., 2020, Juvenile Coho and Chinook salmon growth, size, and condition linked to watershed-scale salmon spawner abundance: Transactions of the American Fisheries Society, v. 150, no. 3, p. 307-326, https://doi.org/10.1002/tafs.10233.","productDescription":"20 p.","startPage":"307","endPage":"326","ipdsId":"IP-109480","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":395641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chirosky River, North River, Unalakleet River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -160.8185577392578,\n 63.82825415987884\n ],\n [\n -160.5370330810547,\n 63.82825415987884\n ],\n [\n -160.5370330810547,\n 63.91352961251089\n ],\n [\n -160.8185577392578,\n 63.91352961251089\n ],\n [\n -160.8185577392578,\n 63.82825415987884\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Joy, Philip J.","contributorId":274930,"corporation":false,"usgs":false,"family":"Joy","given":"Philip","email":"","middleInitial":"J.","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833517,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ivanoff, Renae","contributorId":274931,"corporation":false,"usgs":false,"family":"Ivanoff","given":"Renae","email":"","affiliations":[{"id":56689,"text":"nsedc","active":true,"usgs":false}],"preferred":false,"id":833518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Shiao Y.","contributorId":274932,"corporation":false,"usgs":false,"family":"Wang","given":"Shiao","email":"","middleInitial":"Y.","affiliations":[{"id":56690,"text":"usm","active":true,"usgs":false}],"preferred":false,"id":833519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seitz, Andrew C.","contributorId":274933,"corporation":false,"usgs":false,"family":"Seitz","given":"Andrew C.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":833520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, Jiaqi","contributorId":274934,"corporation":false,"usgs":false,"family":"Huang","given":"Jiaqi","email":"","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tyers, Mathew B.","contributorId":274935,"corporation":false,"usgs":false,"family":"Tyers","given":"Mathew","email":"","middleInitial":"B.","affiliations":[{"id":56688,"text":"adfg","active":true,"usgs":false}],"preferred":false,"id":833522,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70216163,"text":"sir20205090 - 2020 - Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York","interactions":[],"lastModifiedDate":"2021-04-27T17:33:12.761031","indexId":"sir20205090","displayToPublicDate":"2021-04-27T13:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5090","displayTitle":"Analysis of Remedial Scenarios Affecting Plume Movement Through a Sole-Source Aquifer System, Southeastern Nassau County, New York","title":"Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York","docAbstract":"

A steady-state three-dimensional groundwater-flow model based on present conditions is coupled with the particle-tracking program MODPATH to assess the fate and transport of volatile organic-compound plumes within the Magothy and upper glacial aquifers in southeastern Nassau County, New York. Particles are forward tracked from locations within plumes defined by surfaces of equal concentration. Particles move toward ultimate well capture and discharge to the general head and drain boundaries representing natural receptors in the models. Because rates of advection within coarse-grained sediments typically exceed 0.1 foot per day, mechanisms of dispersion and diffusion were assumed to be negligible. Resulting particle pathlines are influenced by hydrogeologic framework features and the interplay of nearby hydrologic stresses. Simulated hydrologic effects include cones of depression near pumping wells and water-table mounding near points of treated water recharge; however, remedial pumping amounts are balanced by treated-water return, and net effects at distant regional boundaries, including freshwater/saltwater interfaces, are minor.

Once a steady-state model was developed and calibrated, eight hypothetical remedial scenarios were evaluated to hydraulically contain the volatile organic-compound plumes. Specifically, the remedial scenarios were optimized to achieve full containment by altering the pumping-well locations, adjusting the pumping rates, and adjusting the discharge locations and rates. Based on the results, total hypothetical extraction rates varied from about 5,462 gallons per minute during an anticipated near-future condition to about 13,340 gallons per minute during full hydraulic containment of all site-related compounds identified by the New York State standards, criteria, and guidance for environmental investigations and cleanup. Targeting of high-concentration zones of the plume increases the total amount of remedial pumpage necessary to capture all parts of the plume but may decrease the total amount of time necessary to operate a remedial system. Simulated time frames of advective transport ranged from about 12 years to capture zones with elevated concentrations of volatile organic compounds (mean particle travel time plus the standard deviation of travel time) to more than 100 years to capture all zones.

Groundwater-flow model analysis indicates that all the optimal plume-containment scenarios would have negligible effects on streams and the saltwater-freshwater interface along the south shore of Long Island. Massapequa, Bellmore, Seaman, and Seaford Creeks are represented by using MODFLOW drain-boundary conditions. Saltwater-freshwater interfaces are represented by using MODFLOW general head-boundary conditions where the Magothy aquifer discharges upward into saline groundwater across the Gardiners clay confining unit and the Lloyd aquifer discharges upward into saline groundwater across the Raritan confining unit.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205090","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Misut, P.E., Walter, D., Schubert, C., and Dressler, S., 2020, Analysis of remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York: U.S. Geological Survey Scientific Investigations Report 2020–5090, 83 p., https://doi.org/10.3133/sir20205090.","productDescription":"Report: vi, 83 p.; Data Release; 5 Figures","numberOfPages":"83","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-105143","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":380266,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5090/sir20205090_figures.zip","text":"High-resolution figures","size":"159 MB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- Figures 16, 18, 20, 22, and 24"},{"id":380264,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DOBQ8N","text":"USGS data release","linkHelpText":"MODFLOW–NWT and MODPATH6 model use to analyze remedial scenarios affecting plume movement through a sole-source aquifer system, southeastern Nassau County, New York"},{"id":380262,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5090/coverthb.jpg"},{"id":380263,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5090/sir20205090.pdf","text":"Report","size":"18.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5090"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.87619018554688,\n 40.482470524589516\n ],\n [\n -73.289794921875,\n 40.482470524589516\n ],\n [\n -73.289794921875,\n 40.81796653313175\n ],\n [\n -73.87619018554688,\n 40.81796653313175\n ],\n [\n -73.87619018554688,\n 40.482470524589516\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-11-20","noUsgsAuthors":false,"publicationDate":"2020-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":804273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schubert, Christopher 0000-0003-0705-3933 schubert@usgs.gov","orcid":"https://orcid.org/0000-0003-0705-3933","contributorId":1243,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":804274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dressler, Sarken","contributorId":244619,"corporation":false,"usgs":false,"family":"Dressler","given":"Sarken","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":true,"id":804275,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220325,"text":"70220325 - 2020 - Sulfur isotope composition of individual compounds in immature organic-rich rocks and possible geochemical implications","interactions":[],"lastModifiedDate":"2021-05-06T11:52:31.536257","indexId":"70220325","displayToPublicDate":"2021-04-01T09:19:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Sulfur isotope composition of individual compounds in immature organic-rich rocks and possible geochemical implications","docAbstract":"

We applied compound-specific sulfur isotope analysis (CSSIA) to organic matter (OM) extracted from ancient and immature organic-rich rocks from the Cretaceous Ghareb (Shefela Basin locality, Israel) and Miocene Monterey (Naples Beach locality, California, USA) Formations. Large variations in the δ34S values of different organosulfur compounds (OSCs), that reach up to 28‰ and 36‰, were observed in the Ghareb and Monterey samples, respectively. Additionally, some common OSCs in both locations showed consistent 34S trends relative to each other. The consistent enrichment in 34S of C35 hopane thiophene relative to iC20 thiophene in the studied sections probably resulted from differences in the timing of OM sulfurization. Reactive organic precursors quickly consume the most 34S-depleted reduced S, while less reactive species incorporate the heavier residual S at a later time. Despite the differences in the depositional environments, ages, and the initial δ34S values of the reduced S (represented by the δ34S of pyrite) between the Ghareb and the Monterey Formations, the sulfurization order of common organic compounds seems to be similar. All of the δ34S values of OSCs are 34S enriched relative to that of the coexisting pyrite with the exception of the C25 highly branched isoprenoid (HBI) thiophene in several samples from the Monterey Formation. The existence of 34S-depleted sulfurized HBI may point to OM sulfurization that occurred at or near the sediment-water interface during the deposition of the Monterey. Moreover, the δ34S of steroid sulfides shows an inverse trend with the pristane/phytane ratio, which may indicate that the sulfurization mechanism of these OSCs are affected by redox conditions. Further investigation of CSSI values in immature rocks from other basins may help constrain the OM sulfurization process, timescale, and depositional conditions and their possible use as paleoenvironmental proxies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2020.01.034","usgsCitation":"Shawar, L., Said-Ahmad, W., Ellis, G.S., and Amrani, A., 2020, Sulfur isotope composition of individual compounds in immature organic-rich rocks and possible geochemical implications: Geochimica et Cosmochimica Acta, v. 274, p. 20-44, https://doi.org/10.1016/j.gca.2020.01.034.","productDescription":"25 p.","startPage":"20","endPage":"44","ipdsId":"IP-111549","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":385460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Santa Barbara, Oxnard","otherGeospatial":"Naples beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.14648437499999,\n 34.14363482031264\n ],\n [\n -119.036865234375,\n 34.14363482031264\n ],\n [\n -119.036865234375,\n 34.67839374011646\n ],\n [\n -120.14648437499999,\n 34.67839374011646\n ],\n [\n -120.14648437499999,\n 34.14363482031264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shawar, Lubna","contributorId":177555,"corporation":false,"usgs":false,"family":"Shawar","given":"Lubna","email":"","affiliations":[],"preferred":false,"id":815173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Said-Ahmad, Ward","contributorId":257863,"corporation":false,"usgs":false,"family":"Said-Ahmad","given":"Ward","affiliations":[{"id":52141,"text":"Hebrew University of Jerusalem","active":true,"usgs":false}],"preferred":false,"id":815174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":815175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":225213,"corporation":false,"usgs":false,"family":"Amrani","given":"Alon","affiliations":[{"id":41077,"text":"Research Center","active":true,"usgs":false}],"preferred":false,"id":815176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219071,"text":"70219071 - 2020 - Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C","interactions":[],"lastModifiedDate":"2021-03-23T14:59:27.83208","indexId":"70219071","displayToPublicDate":"2021-03-06T09:48:15","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C","docAbstract":"

At Abu Hureyra (AH), Syria, the 12,800-year-old Younger Dryas boundary layer (YDB) contains peak abundances in meltglass, nanodiamonds, microspherules, and charcoal. AH meltglass comprises 1.6 wt.% of bulk sediment, and crossed polarizers indicate that the meltglass is isotropic. High YDB concentrations of iridium, platinum, nickel, and cobalt suggest mixing of melted local sediment with small quantities of meteoritic material. Approximately 40% of AH glass display carbon-infused, siliceous plant imprints that laboratory experiments show formed at a minimum of 1200°–1300 °C; however, reflectance-inferred temperatures for the encapsulated carbon were lower by up to 1000 °C. Alternately, melted grains of quartz, chromferide, and magnetite in AH glass suggest exposure to minimum temperatures of 1720 °C ranging to >2200 °C. This argues against formation of AH meltglass in thatched hut fires at 1100°–1200 °C, and low values of remanent magnetism indicate the meltglass was not created by lightning. Low meltglass water content (0.02–0.05% H2O) is consistent with a formation process similar to that of tektites and inconsistent with volcanism and anthropogenesis. The wide range of evidence supports the hypothesis that a cosmic event occurred at Abu Hureyra ~12,800 years ago, coeval with impacts that deposited high-temperature meltglass, melted microspherules, and/or platinum at other YDB sites on four continents.

","language":"English","publisher":"Springer","doi":"10.1038/s41598-020-60867-w","usgsCitation":"Moore, A., Kennett, J., Kennett, D., Napier, W.M., Bunch, T., Weaver, J., LeCompte, M.A., Adedji, V., Hackley, P.C., Lowenstern, J.B., Kletetschka, G.K., Culleton, B., Hermes, R., Wittke, J., Razink, J.J., Gaultois, M., and West, A., 2020, Evidence of cosmic impact at Abu Hureyra, Syria at the Younger Dryas Onset (~12.8 ka): High-temperature melting at >2200 °C: Scientific Reports, v. 10, 4185, 22 p., https://doi.org/10.1038/s41598-020-60867-w.","productDescription":"4185, 22 p.","ipdsId":"IP-106002","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":454592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-60867-w","text":"Publisher Index Page"},{"id":384584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Syria","otherGeospatial":"Abu Hureyra","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 37.034912109375,\n 36.27970720524017\n ],\n [\n 37.59521484375,\n 36.27970720524017\n ],\n [\n 37.59521484375,\n 36.686041276581925\n ],\n [\n 37.034912109375,\n 36.686041276581925\n ],\n [\n 37.034912109375,\n 36.27970720524017\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Andrew M.T.","contributorId":255600,"corporation":false,"usgs":false,"family":"Moore","given":"Andrew M.T.","affiliations":[{"id":51599,"text":"1. College of Liberal Arts, Rochester Institute of Technology, Rochester, NY 14623; phone: (603) 319-8111","active":true,"usgs":false}],"preferred":false,"id":812644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennett, James P.","contributorId":255601,"corporation":false,"usgs":false,"family":"Kennett","given":"James P.","affiliations":[{"id":51600,"text":"2. Department of Earth Science and Marine Science Institute, University of California, Santa Barbara, CA 93106; phone: (805) 683-8905","active":true,"usgs":false}],"preferred":false,"id":812645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennett, Douglas J.","contributorId":255602,"corporation":false,"usgs":false,"family":"Kennett","given":"Douglas J.","affiliations":[{"id":51602,"text":"3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802; Kennett phone: (814) 954-2445; Culleton phone: (814) 865-5342","active":true,"usgs":false}],"preferred":false,"id":812646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Napier, William M.","contributorId":255603,"corporation":false,"usgs":false,"family":"Napier","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":51603,"text":"4. Buckingham Centre for Astrobiology, University of Buckingham, Buckingham, UK; phone: +353 087 361 8376","active":true,"usgs":false}],"preferred":false,"id":812647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bunch, Ted E.","contributorId":255604,"corporation":false,"usgs":false,"family":"Bunch","given":"Ted E.","affiliations":[{"id":51604,"text":"5. Geology Program, School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011; Bunch phone: (928) 717-1916; Wittke phone: (928) 814-8187","active":true,"usgs":false}],"preferred":false,"id":812648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weaver, James C.","contributorId":255605,"corporation":false,"usgs":false,"family":"Weaver","given":"James C.","affiliations":[{"id":51605,"text":"6. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138; phone: (805) 284-8869","active":true,"usgs":false}],"preferred":false,"id":812649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeCompte, Malcolm A.","contributorId":255606,"corporation":false,"usgs":false,"family":"LeCompte","given":"Malcolm","email":"","middleInitial":"A.","affiliations":[{"id":51607,"text":"7. Elizabeth City State University, Center of Excellence in Remote Sensing Education and Research, Elizabeth City, NC 27909USGS, Menlo Park, California 94025, USA","active":true,"usgs":false}],"preferred":false,"id":812650,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Adedji, Victor","contributorId":255607,"corporation":false,"usgs":false,"family":"Adedji","given":"Victor","email":"","affiliations":[{"id":51608,"text":"8. Department of Natural Sciences, Elizabeth City State University, Elizabeth City, NC 27909","active":true,"usgs":false}],"preferred":false,"id":812651,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812652,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":812653,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kletetschka, Gunther K.","contributorId":255609,"corporation":false,"usgs":false,"family":"Kletetschka","given":"Gunther","email":"","middleInitial":"K.","affiliations":[{"id":51610,"text":"11. Charles University, Faculty of Science, Czech Republic; Institute of Geology, Czech Academy of Science of the Czech Republic; and University of Alaska Fairbanks, Alaska, 903 Koyukuk Drive, 99775","active":true,"usgs":false}],"preferred":false,"id":812654,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Culleton, Brendan J.","contributorId":255610,"corporation":false,"usgs":false,"family":"Culleton","given":"Brendan J.","affiliations":[{"id":51611,"text":"3. Department of Anthropology, Pennsylvania State University, University Park, PA 16802; Kennett phone: (814) 954-2445; Culleton phone: (814) 865-5342.","active":true,"usgs":false}],"preferred":false,"id":812655,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hermes, Robert E.","contributorId":255611,"corporation":false,"usgs":false,"family":"Hermes","given":"Robert E.","affiliations":[{"id":51612,"text":"12. Los Alamos National Laboratory (retired), Los Alamos, NM 87545; phone: (505) 672-3162.","active":true,"usgs":false}],"preferred":false,"id":812656,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wittke, James H.","contributorId":255612,"corporation":false,"usgs":false,"family":"Wittke","given":"James H.","affiliations":[{"id":51613,"text":"5. Geology Program, School of Earth Science and Environmental Sustainability, Northern Arizona University, Flagstaff, AZ 86011; Bunch phone: (928) 717-1916; Wittke phone: (928) 814-8187.","active":true,"usgs":false}],"preferred":false,"id":812657,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Razink, Joshua J.","contributorId":255613,"corporation":false,"usgs":false,"family":"Razink","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":51614,"text":"13. Center for Advanced Materials Characterization at Oregon (CAMCOR), Univ. of Oregon, Eugene, OR 97403 USA","active":true,"usgs":false}],"preferred":false,"id":812658,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gaultois, Michael","contributorId":255614,"corporation":false,"usgs":false,"family":"Gaultois","given":"Michael","email":"","affiliations":[],"preferred":false,"id":812659,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"West, Allen","contributorId":255615,"corporation":false,"usgs":false,"family":"West","given":"Allen","affiliations":[{"id":51615,"text":"14. Comet Research Group, Prescott, AZ; phone: (928) 632-7738","active":true,"usgs":false}],"preferred":false,"id":812660,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70218269,"text":"70218269 - 2020 - Debris-flow growth in Puerto Rico during Hurricane Maria: Preliminary results from analyses of pre- and post-event lidar data","interactions":[],"lastModifiedDate":"2021-04-20T11:52:56.654517","indexId":"70218269","displayToPublicDate":"2021-02-28T09:19:43","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Debris-flow growth in Puerto Rico during Hurricane Maria: Preliminary results from analyses of pre- and post-event lidar data","docAbstract":"

On September 20, 2017, Hurricane Maria triggered widespread debris flows in Puerto Rico. We used field observations and pre- and post-Maria lidar to study the volumetric growth of long-travelled (>400 m) debris flows in four basins. We found overall growth rates that ranged from 0.7 to 30.4 m3 per meter of channel length. We partitioned the rates into two growth mechanisms, aggregation of multiple landslides, or erosion and entrainment of channel sediment. In three basins, landslides accounted for more than 80% of the total debris-flow volumes. In one basin, entrainment accounted for 96% of the volume. These results indicate that forecasting volumes for regional debris-flow inundation modeling is more complicated than estimating the number and volume of contributing landslide source areas, although this task is difficult by itself. In this preliminary analysis, we did not find geologic, topographic, or morphometric variables that correlated with the growth observations. We suspect that the observed growth rates were heavily influenced by local variations in environmental conditions, including antecedent soil moisture conditions, duration and intensity of rainfall, and availability of channel material. Given these considerations, regional debris-flow inundation modeling may be best achieved by using a suite of scenarios that capture possible mechanisms of debris-flow growth.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 13th International Symposium on Landslides","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"13th International Symposium on Landslides","conferenceDate":"February 22-26, 2021","language":"English","publisher":"International Society for Soil Mechanics and Geotechnical Engineering","usgsCitation":"Coe, J.A., Bessette-Kirton, E., Brien, D.L., and Reid, M.E., 2020, Debris-flow growth in Puerto Rico during Hurricane Maria: Preliminary results from analyses of pre- and post-event lidar data, in Proceedings of the 13th International Symposium on Landslides, February 22-26, 2021, 9 p.","productDescription":"9 p.","ipdsId":"IP-113885","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":385190,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383574,"type":{"id":15,"text":"Index Page"},"url":"https://www.issmge.org/uploads/publications/105/106/ISL2020-7.pdf"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.30499267578125,\n 17.85590441431915\n ],\n [\n -65.5828857421875,\n 17.85590441431915\n ],\n [\n -65.5828857421875,\n 18.578568865536027\n ],\n [\n -67.30499267578125,\n 18.578568865536027\n ],\n [\n -67.30499267578125,\n 17.85590441431915\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":810789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bessette-Kirton, Erin K. 0000-0002-2797-0694","orcid":"https://orcid.org/0000-0002-2797-0694","contributorId":225097,"corporation":false,"usgs":false,"family":"Bessette-Kirton","given":"Erin K.","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":810790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brien, Dianne L. 0000-0003-3227-7963 dbrien@usgs.gov","orcid":"https://orcid.org/0000-0003-3227-7963","contributorId":229851,"corporation":false,"usgs":true,"family":"Brien","given":"Dianne","email":"dbrien@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":810791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":810792,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218314,"text":"70218314 - 2020 - Geothermal play fairway analysis of the Sou Hills, northern Nevada: A major quaternary accommodation zone in the Great Basin region","interactions":[],"lastModifiedDate":"2021-04-19T14:04:45.076424","indexId":"70218314","displayToPublicDate":"2021-02-24T07:45:11","publicationYear":"2020","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geothermal play fairway analysis of the Sou Hills, northern Nevada: A major quaternary accommodation zone in the Great Basin region","docAbstract":"
To facilitate discovery and development of blind geothermal systems in the Great Basin region, as well as assessment of known systems with surface hot springs, a play fairway approach was developed to evaluate and integrate multiple geologic and geophysical parameters for permeability and heat. Phase 1 of the project produced a geothermal potential map of 96,000 km2 of Nevada. This analysis yielded 24 highly favorable locations with particularly high fairway scores, from which five promising sites were selected for detailed studies. The Sou Hills was chosen as a detailed study area due to a complex structural setting, plethora of Quaternary normal faults, and relatively high rates of both regional strain and slip on Quaternary faults. Our analysis of the Sou Hills utilized: 1) detailed geologic mapping of ~60 km2, 2) reconnaissance mapping of >200 km2, 3) analysis of Quaternary faults, 4) detailed logging of cuttings from four, previously drilled wells (~2,000 m) and integration of ~5,500 m of existing logs from nine other wells, 5) a new gravity survey (355 stations), 6) LiDAR acquisition for 290 km2, 7) a shallow temperature survey (82 stations), 8) interpretation of seven seismic reflection profiles, 9) slip and dilation tendency analyses, and 10) geochemical analyses of 23 water samples. Integration of these datasets shows that the Sou Hills occupies a major accommodation zone between oppositely dipping Quaternary normal fault systems. As such, the area is characterized by multiple, closely-spaced, west- and east-dipping Quaternary normal faults, many of which are favorably oriented for slip and dilation in the current stress regime. Seismic reflection and gravity data show an extensional anticline in northernmost Dixie Valley directly south of the Sou Hills. The anticline marks a zone of multiple intersecting, oppositely dipping normal faults and represents a particularly favorable site for potentially hosting a geothermal system.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal resources council transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Faulds, J., Sadowski, A.J., Coolbaugh, M., and Siler, D.L., 2020, Geothermal play fairway analysis of the Sou Hills, northern Nevada: A major quaternary accommodation zone in the Great Basin region, in Geothermal resources council transactions, v. 44, p. 542-556.","productDescription":"15 p.","startPage":"542","endPage":"556","ipdsId":"IP-120021","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":385189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383619,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1034237"}],"country":"United States","state":"Nevada","otherGeospatial":"Sou Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.79335021972655,\n 40.067037152929764\n ],\n [\n -117.68142700195311,\n 40.067037152929764\n ],\n [\n -117.68142700195311,\n 40.200379345263705\n ],\n [\n -117.79335021972655,\n 40.200379345263705\n ],\n [\n -117.79335021972655,\n 40.067037152929764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulds, James E.","contributorId":252834,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[{"id":50442,"text":"Great Basin Center for Geothermal Energy, Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":810955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sadowski, Andrew J.","contributorId":252835,"corporation":false,"usgs":false,"family":"Sadowski","given":"Andrew","email":"","middleInitial":"J.","affiliations":[{"id":50443,"text":"Great Basin Center for Geothermal Energy, Nevada Bureau of Mines and Geology, University of Nevada, Reno, and Washington Geologic Survey","active":true,"usgs":false}],"preferred":false,"id":810956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coolbaugh, Mark F.","contributorId":252836,"corporation":false,"usgs":false,"family":"Coolbaugh","given":"Mark F.","affiliations":[{"id":50442,"text":"Great Basin Center for Geothermal Energy, Nevada Bureau of Mines and Geology, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":810957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Siler, Drew L. 0000-0001-7540-8244","orcid":"https://orcid.org/0000-0001-7540-8244","contributorId":203341,"corporation":false,"usgs":true,"family":"Siler","given":"Drew","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":810958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70218310,"text":"70218310 - 2020 - Quantifying microplastics in Indiana’s Lake Michigan watershed and submerged aquatic vegetation","interactions":[],"lastModifiedDate":"2021-02-25T13:52:31.418965","indexId":"70218310","displayToPublicDate":"2021-02-23T07:49:41","publicationYear":"2020","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"title":"Quantifying microplastics in Indiana’s Lake Michigan watershed and submerged aquatic vegetation","docAbstract":"Environmental breakdown of plastics produces synthetic microfibers, a class of microplastics that are most prevalent in surface waters. A main source of these pollutants is wastewater treatment plants which discharge into surface waters, including those that flow into Lake Michigan. Microplastics can settle into aquatic sediment or exist for lengths of time in the swash zone of the lakes; they can be ingested by organisms or concentrated in algae or other lake plankton, among other possibilities. As part of a larger Great Lakes study of the growth and senescence of submerged aquatic vegetation (SAV), the loads of synthetic microfibers in the SAV have been determined from Lake Michigan samples collected during the summer months of 2018, 2019 and 2020, and from various samples collected in the watershed and along the shoreline in Northwest Indiana. In order to effectively address microplastics pollution, a complete understanding of the distribution and fate of these pollutants is needed; this project is working toward that goal.","language":"English","publisher":"Indiana Water Monitoring Council","usgsCitation":"Peller, J.R., Nevers, M., Byappanahalli, M., and Evans, M.A., 2020, Quantifying microplastics in Indiana’s Lake Michigan watershed and submerged aquatic vegetation, 52 p.","productDescription":"52 p.","ipdsId":"IP-125045","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":383620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383615,"type":{"id":15,"text":"Index Page"},"url":"https://www.inwmc.net/wp-content/uploads/2021/02/2020-Indiana-Water-Report.pdf"}],"country":"United 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