{"pageNumber":"568","pageRowStart":"14175","pageSize":"25","recordCount":184829,"records":[{"id":70216955,"text":"tm7C26 - 2020 - Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis","interactions":[],"lastModifiedDate":"2022-01-10T15:32:29.931971","indexId":"tm7C26","displayToPublicDate":"2020-12-22T10:11:18","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"7-C26","displayTitle":"Approaches to Highly Parameterized Inversion: PEST++ Version 5, a Software Suite for Parameter Estimation, Uncertainty Analysis, Management Optimization and Sensitivity Analysis","title":"Approaches to highly parameterized inversion: PEST++ Version 5, a software suite for parameter estimation, uncertainty analysis, management optimization and sensitivity analysis","docAbstract":"<p>PEST++ Version 5 extends and enhances the functionality of the PEST++ Version 3 software suite, providing environmental modeling practitioners access to updated Version 3 tools as well as new tools to support decision making with environmental models. Version 5 of PEST++ includes tools for global sensitivity analysis (PESTPP-SEN); least-squares parameter estimation with integrated first-order, second-moment parameter and forecast uncertainty estimation (PESTPP-GLM); an iterative, localized ensemble smoother (PESTPP-IES); and a tool for management optimization under uncertainty (PESTPP-OPT). Additionally, all PEST++ Version 5 tools have a built-in fault-tolerant, multithreaded parallel run manager and are model independent, using the same protocol as the widely used PEST software suite.</p><p>PEST++ Version 5 is consistent with PEST++ Version 3 conventions and design philosophy. The software’s emphasis continues to target efficient and optimized algorithms that have proven beneficial in decision-support settings and can accommodate large, highly parameterized problems. Expanded and new capabilities are now available to express uncertainty using Monte Carlo and analytical uncertainty approaches and allow evaluation of thousands to millions of parameters. New management optimization capabilities in Version 5 also allow environmental models to be used to answer management questions using multiple societal constraints in a risk-based framework.</p><p>The PEST++ Version 5 software suite can be compiled for Microsoft Windows® and Unix-based operating systems such as Apple and Linux®; the source code is available with a Microsoft Visual Studio® 2019 solution; and CMake support for all three operating system is also provided. PEST++ Version 5 continues to build a foundation for an open-source framework capable of producing model-independent, robust, and efficient decision-support tools for large environmental models. The functionality of each of the PEST++ tools are demonstrated on a simple example problem. Implications of decisions used when using the PEST++ suite tools are also discussed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7C26","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency Great Lakes Restoration Initiative","usgsCitation":"White, J.T., Hunt, R.J., Fienen, M.N., and Doherty, J.E., 2020, Approaches to Highly Parameterized Inversion: PEST++ Version 5, a Software Suite for Parameter Estimation, Uncertainty Analysis, Management Optimization and Sensitivity Analysis: U.S. Geological Survey Techniques and Methods 7C26, 52 p., https://doi.org/10.3133/tm7C26.","productDescription":"Report: viii, 52 p.; Software Release","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-119615","costCenters":[],"links":[{"id":436694,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YTQ5PY","text":"USGS data release","linkHelpText":"PEST++ Version 5.0 source code, pre-compiled binaries and example problem"},{"id":381481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/c26/coverthb.jpg"},{"id":381482,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/c26/tm7c26.pdf","text":"Report","size":"2.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 7 C–26"},{"id":381483,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://www.usgs.gov/software/pest-software-suite-parameter-estimation-uncertainty-analysis-management-optimization-and","text":"USGS software release","linkHelpText":"— PEST++, a Software Suite for Parameter Estimation, Uncertainty Analysis, Management Optimization and Sensitivity Analysis"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/umid-water\" href=\"https://www.usgs.gov/centers/umid-water\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, WI 53562</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction<br></li><li>Example Problem Description</li><li>PESTPP-SEN Example</li><li>PESTPP-GLM Example<br></li><li>PESTPP-IES Example</li><li>PESTPP-OPT Example&nbsp;</li><li>Suggestions for Applying PEST++ V5</li><li>Limitations of Version 5</li><li>Summary</li><li>References Cited</li><li>Appendix 1. PEST++ Version 5 Input Instructions</li></ul>","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2020-12-22","noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Jeremy T. 0000-0002-4950-1469 jwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-4950-1469","contributorId":167708,"corporation":false,"usgs":true,"family":"White","given":"Jeremy","email":"jwhite@usgs.gov","middleInitial":"T.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807076,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":208800,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","affiliations":[],"preferred":true,"id":807077,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fienen, Michael N. 0000-0002-7756-4651 mnfienen@usgs.gov","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":171511,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael","email":"mnfienen@usgs.gov","middleInitial":"N.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807078,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, John E.","contributorId":8817,"corporation":false,"usgs":false,"family":"Doherty","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":7046,"text":"Watermark Numerical Computing","active":true,"usgs":false}],"preferred":false,"id":807079,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70170193,"text":"pp1824R - 2020 - Geology and assessment of undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province","interactions":[{"subject":{"id":70170193,"text":"pp1824R - 2020 - Geology and assessment of undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province","indexId":"pp1824R","publicationYear":"2020","noYear":false,"chapter":"R","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Yenisey-Khatanga Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:07:33.815115","indexId":"pp1824R","displayToPublicDate":"2020-12-22T10:09:25","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"R","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Yenisey-Khatanga Basin Province, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province","docAbstract":"<p>The U.S. Geological Survey (USGS) assessed the potential for undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province as part of the USGS Circum-Arctic Resource Appraisal. The province is situated between the Taimyr-Kara high (Kara block, Central Taimyr fold belt, and South Taimyr fold belt) and the Siberian craton. The two assessment units (AUs) defined for this study—the Khatanga Saddle AU and the Yenisey-Khatanga Basin AU were assessed for undiscovered, technically recoverable, conventional resources. The estimated mean volumes of undiscovered resources for the Yenisey-Khatanga Basin Province are ~5.6 billion barrels of crude oil, ~100 trillion cubic feet of natural gas, and ~2.7 billion barrels of natural-gas liquids, all north of the Arctic Circle.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824R","usgsCitation":"Klett, T.R., and Pitman, J.K., 2018, Geology and assessment of undiscovered oil and gas resources of the Yenisey-Khatanga Basin Province, 2008, chap. R <i>of</i> Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 23 p., https://doi.org/10.3133/pp1824R.","productDescription":"Report: vii, 23 p., 2 Appendixes","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-050991","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":381577,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/r/covrthb.jpg"},{"id":381580,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/r/pp1824r_appendix2.xls","text":"Appendix 2","size":"50 KB","linkHelpText":"– Input data for the Yenisey-Khatanga Basin Assessment Unit"},{"id":381579,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/r/pp1824r_appendix1.xls","text":"Appendix 1","size":"50 KB","linkHelpText":"– Input data for the Khatanga Saddle Assessment Unit"},{"id":381578,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/r/pp1824r.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"country":"Russia","otherGeospatial":"Yenisey-Khatanga Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              115.224609375,\n              71.74643171904148\n            ],\n            [\n              112.32421875,\n              75.02766361549942\n            ],\n            [\n              109.16015624999999,\n              75.56304125915767\n            ],\n            [\n              86.748046875,\n              71.46912418989677\n            ],\n            [\n              78.57421875,\n              70.8446726342528\n            ],\n            [\n              79.716796875,\n              68.84766505841037\n            ],\n            [\n              85.69335937499999,\n              67.2720426739952\n            ],\n            [\n              89.296875,\n              68.87935761076949\n            ],\n            [\n              95.888671875,\n              68.942606818121\n            ],\n            [\n              101.953125,\n              70.4367988185464\n            ],\n            [\n              112.236328125,\n              71.58053179556501\n            ],\n            [\n              115.224609375,\n              71.74643171904148\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Contact Information</a>,&nbsp;<a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center—Menlo Park</a><br><a href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591<br>FAX 650-329-4936</p>","tableOfContents":"<ul><li>Abstract</li><li>Yenisey-Khatanga Basin Province</li><li>Petroleum Occurrence</li><li>Tectonostratigraphic Evolution</li><li>Petroleum-System Elements</li><li>Assessment Units</li><li>Assessment Results</li><li>Acknowledgments</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-12-22","noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Klett, Timothy R. 0000-0001-9779-1168 tklett@usgs.gov","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":150416,"corporation":false,"usgs":true,"family":"Klett","given":"Timothy","email":"tklett@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626353,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216976,"text":"ofr20201133 - 2020 - A probabilistic assessment of tephra-fall hazards at Hanford, Washington, from a future eruption of Mount St. Helens","interactions":[],"lastModifiedDate":"2020-12-22T23:05:06.738014","indexId":"ofr20201133","displayToPublicDate":"2020-12-22T09:55:23","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":"2020-1133","displayTitle":"A Probabilistic Assessment of Tephra-Fall Hazards at Hanford, Washington, From a Future Eruption of Mount St. Helens","title":"A probabilistic assessment of tephra-fall hazards at Hanford, Washington, from a future eruption of Mount St. Helens","docAbstract":"<p>Hanford, Washington (USA) is the construction site of a multi-billion-dollar high-level nuclear waste treatment facility. This site lies 200 kilometers (km) east of Mount St. Helens (MSH), the most active volcano in the contiguous United States. Tephra from a future MSH eruption could pose a hazard to the air intake and filtration systems at this plant. In this report, we present a probabilistic estimate of the amount of tephra that could fall, and the concentrations of airborne ash that could occur at the Hanford Site during a future eruption. Mount St. Helens has produced four large explosive eruptions in approximately the past 500 years, suggesting that its annual probability of eruption (<i>P</i><span><i><sub>1</sub></i></span>) is roughly 4/500=0.008. Assuming that a large eruption occurs, we calculate the probability (<i>P</i><span><i><sub>3|1</sub></i></span>) of a given fall deposit thickness or airborne concentration at Hanford by running about 10,000 simulations of ash-producing eruptions using the atmospheric transport model Ash3d. In each simulation, we calculate the pattern of tephra dispersal, deposit thickness at Hanford, and airborne ash concentration at ground level. As input for each simulation, we choose meteorological conditions from a randomly chosen time in the historical record between 1980 and 2010, using data from the European Centre for Medium-Range Weather Forecasting (ECMWF) Reanalysis (ERA) Interim model. The volume (dense-rock equivalent) of each simulated eruption is randomly chosen from a uniform probability distribution on a log scale from the range of magma volumes (0.008–2.3 cubic kilometers [km<span><sup>3</sup></span>]) estimated for late Holocene eruptions at MSH. Plume heights and durations of each eruption are chosen using empirical correlations between volume, height, and eruption rate, which account for the fact that larger eruptions have higher plumes and last longer. We construct summary tables of final deposit thickness (<i>T</i>), maximum ground-level airborne concentration (<i>C</i><span><i><sub>max</sub></i></span>), and average ground-level airborne concentration (<i>C</i><span><i><sub>avg</sub></i></span>) during tephra-fall for each run. Each table is sorted and ranked by decreasing value of <i>T</i>, <i>C</i><span><i><sub>max</sub></i></span>, or <i>C</i><span><i><sub>avg</sub></i></span>. Conditional probabilities (<i>P</i><span><i><sub>3|1</sub></i></span>) are derived by dividing rank by n+1, where n is the total number of successful runs. For example, a deposit thickness of 5.10 centimeters (cm) from run 446 is ranked 123 of 9,785 successful runs, yielding <i>P</i><span><i><sub>3|1</sub></i></span>=123/9,786=0.01257. Its annual probability is <i>P</i>=<i>P</i><span><i><sub>1</sub></i></span>·<i>P</i><span><i><sub>3|1</sub></i></span>=0.008×0.01257=0.000101. By interpolation, the deposit thickness (<i>T</i><span><i><sub>10k</sub></i></span>) having an annual probability of 1 in 10,000 (<i>P</i>= 0.0001) is 5.11 cm. Analogous concentration values are <i>C</i><span><i><sub>max,10k</sub></i></span>=3,819 and <i>C</i><span><i><sub>avg,10k</sub></i></span>=1,513 milligrams per cubic meter (mg/m<span><sup>3</sup></span>), respectively. Independent calculations using the known mass accumulation rate of the deposit (=0.001–0.006 kilograms per square meter per second [kg/m<span><sup>2</sup></span>/s]), aggregate fall velocities (<i>u</i>=0.3–0.8 meters per second [m/s]), and the simple formula , yield similar results, although highly variable fall velocities add significant uncertainty. This formula implies that deposit accumulation rates of millimeters (mm) to greater than 1 cm per hour, which are not uncommon during heavy ash fall, are associated with airborne concentrations of 10<span><sup>2</sup></span>–10<span><sup>3</sup></span> milligrams per cubic meter (mg/m<span><sup>3</sup></span>). These concentrations are much higher than published measurements (10<span><sup>-3</sup></span>–10<span><sup>1</sup></span> mg/m<span><sup>3</sup></span>), which record only suspended particles sampled in sheltered areas. During heavy ashfall, most fine ash falls as aggregates. Whether such aggregates will be ingested into air ducts will depend on the aggregate size and fall rate, the fragility of the aggregates, the air duct geometry, intake velocity, and other factors.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201133","collaboration":"Prepared in cooperation with the U.S. Department of Energy, Office of River Protection","usgsCitation":"Mastin, L.G., Van Eaton, A., and Schwaiger, H.F., 2020, A probabilistic assessment of tephra-fall hazards at Hanford, Washington, from a future eruption of Mount St. Helens: U.S. Geological Survey Open-File Report 2020–1133, 54 p., https://doi.org/10.3133/ofr20201133.","productDescription":"Report: ix, 54 p.; Data Release","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-112179","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1133/covrthb.jpg"},{"id":381547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1133/ofr20201133.pdf","text":"Report","size":"9.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381548,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VPFXQR","linkHelpText":"Data Used to Develop A Probabilistic Assessment of Tephra-Fall Hazards at Hanford, Washington"}],"country":"United States","state":"Washington","otherGeospatial":"Hanford","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.88281249999999,\n              46.33175800051563\n            ],\n            [\n              -119.2950439453125,\n              46.33175800051563\n            ],\n            [\n              -119.2950439453125,\n              46.81509864599243\n            ],\n            [\n              -119.88281249999999,\n              46.81509864599243\n            ],\n            [\n              -119.88281249999999,\n              46.33175800051563\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://volcanoes.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/\">Volcano Science Center</a><br><a href=\"https://volcanoes.usgs.gov/observatories/cvo/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://volcanoes.usgs.gov/observatories/cvo/\">Cascades Volcano Observatory</a><br>U.S. Geological Survey<br>1300 SE Cardinal Court<br>Vancouver, WA, 98683</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Inputs</li><li>Modeling Methodology</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-12-22","noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Mastin, Larry G. 0000-0002-4795-1992 lgmastin@usgs.gov","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":555,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"lgmastin@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwaiger, Hans F. 0000-0001-7397-8833 hschwaiger@usgs.gov","orcid":"https://orcid.org/0000-0001-7397-8833","contributorId":4108,"corporation":false,"usgs":true,"family":"Schwaiger","given":"Hans","email":"hschwaiger@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807148,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216979,"text":"70216979 - 2020 - Living with wildfire in Ashland, Oregon: 2020 data report","interactions":[],"lastModifiedDate":"2020-12-22T14:08:29.122772","indexId":"70216979","displayToPublicDate":"2020-12-22T08:06:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Living with wildfire in Ashland, Oregon: 2020 data report","docAbstract":"Wildfire affects many types of communities. Improved understandings of urban conflagrations are leading some fire-prone communities, such as Ashland, Oregon, to expand their attention from focusing solely on the intermix fringe to managing wildfire threats across more urbanized wildland urban interface (WUI) communities. The core intent of this project was to build a partnership between the Wildfire Research (WiRē) Team and Ashland Fire and Rescue (AFR) by leveraging existing wildfire risk data collected in March 2018 and pairing it with newly collected social data to better understand Ashland, Oregon residents’ knowledge, experiences, and perceptions about wildfire risk. 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1.0: December 21, 2020; Version 1.1: December 12, 2022","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a>&nbsp;<br>U.S. Geological Survey&nbsp;<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Land Change and Permafrost Accounting</li><li>Coastlines and Fisheries</li><li>Wildfire and Disaster Response</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-12-21","revisedDate":"2022-12-12","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":147999,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":807117,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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 \"}}]}","edition":"Version 1.0: December 21, 2020; Version 1.1: July 1, 2022; Version 1.2: May 16, 2023","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a>&nbsp;<br>U.S. Geological Survey&nbsp;<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Forest Health and Changes</li><li>Fishing and Farms</li><li>Coastlines and Wetlands</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-12-21","revisedDate":"2023-05-16","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":210377,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":807116,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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 \"}}]}","edition":"Version 1.0: December 21, 2020; Version 1.1: October 17, 2022; Version 1.2: November 26, 2024","contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-land-imaging-program\">National Land Imaging Program</a>&nbsp;<br>U.S. Geological Survey&nbsp;<br>12201 Sunrise Valley Drive <br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Smart Urban Development</li><li>Water-Quality Monitoring</li><li>Precision Agriculture</li><li>Landsat—Critical Information Infrastructure for the Nation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-12-21","revisedDate":"2024-11-26","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128215,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":807087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216977,"text":"fs20203053 - 2020 - Water resources of Red River Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-12-22T12:40:42.536859","indexId":"fs20203053","displayToPublicDate":"2020-12-21T17:09:07","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":"2020-3053","displayTitle":"Water Resources of Red River Parish, Louisiana","title":"Water resources of Red River Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Red River Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 5.76 million gallons per day (Mgal/d) of water were withdrawn in Red River Parish: about 4.23 Mgal/d from groundwater sources and 1.54 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, and livestock uses, accounted for about 72 percent (4.15 Mgal/d) of the total water withdrawn. Other categories of use included public supply (about 18 percent of the total water withdrawn, or 1.03 Mgal/d), industry (about 7 percent, or 0.39 Mgal/d), and rural domestic (about 4 percent, or 0.20 Mgal/d). Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1975 at more than 7.3 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203053","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Robinson, A.L., and White, V.E., 2020, Water resources of Red River Parish, Louisiana: U.S. Geological Survey Fact Sheet 2020–3053, 6 p., https://doi.org/10.3133/fs20203053.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103355","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":381549,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3053/coverthb.jpg"},{"id":381550,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3053/fs20203053.pdf","text":"Report","size":"1.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–3053"},{"id":381551,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"Red River Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-93.6149,32.2376],[-93.5347,32.2377],[-93.5325,32.2378],[-93.4713,32.237],[-93.4355,32.2358],[-93.4333,32.2359],[-93.4284,32.236],[-93.4057,32.2363],[-93.3959,32.236],[-93.3558,32.2363],[-93.3417,32.236],[-93.2475,32.2362],[-93.2139,32.2358],[-93.2127,32.2308],[-93.212,32.2258],[-93.213,32.2207],[-93.2123,32.2144],[-93.2116,32.2066],[-93.2097,32.1934],[-93.202,32.1885],[-93.1987,32.1872],[-93.1954,32.1832],[-93.1937,32.18],[-93.1924,32.17],[-93.1917,32.1632],[-93.1889,32.1568],[-93.186,32.1487],[-93.1744,32.1365],[-93.1643,32.1203],[-93.1576,32.1122],[-93.1565,32.1076],[-93.1526,32.1049],[-93.1563,32.0976],[-93.1589,32.0957],[-93.1636,32.0865],[-93.1608,32.0816],[-93.1521,32.0785],[-93.1444,32.0713],[-93.1393,32.0614],[-93.138,32.0518],[-93.1422,32.0449],[-93.1432,32.0399],[-93.1469,32.0375],[-93.1506,32.0343],[-93.1554,32.0278],[-93.1557,32.0201],[-93.1556,32.0146],[-93.1582,32.0082],[-93.1522,32.0037],[-93.146,31.9942],[-93.1383,31.9866],[-93.1306,31.9803],[-93.1213,31.9727],[-93.2131,31.9732],[-93.2342,31.9733],[-93.2385,31.9728],[-93.2389,31.9682],[-93.2403,31.9071],[-93.2452,31.9084],[-93.2479,31.9101],[-93.2523,31.911],[-93.2592,31.91],[-93.2639,31.8989],[-93.2713,31.8938],[-93.2777,31.891],[-93.2799,31.8909],[-93.2852,31.8895],[-93.2933,31.8898],[-93.2993,31.8925],[-93.301,31.8956],[-93.3075,31.8964],[-93.3187,31.889],[-93.3208,31.8885],[-93.3317,31.8924],[-93.3415,31.8954],[-93.3507,31.8989],[-93.3508,31.9016],[-93.3526,31.9103],[-93.3527,31.9144],[-93.3528,31.919],[-93.3548,31.9321],[-93.3532,31.9354],[-93.3554,31.9367],[-93.3679,31.942],[-93.3696,31.9433],[-93.3692,31.9501],[-93.3748,31.9569],[-93.3727,31.962],[-93.3766,31.966],[-93.3803,31.965],[-93.3814,31.9659],[-93.4034,31.981],[-93.4079,31.9887],[-93.4139,31.9891],[-93.4175,31.9831],[-93.4229,31.9839],[-93.424,31.9853],[-93.4231,31.9903],[-93.4328,31.9897],[-93.4376,31.9887],[-93.4431,31.9904],[-93.4437,31.994],[-93.4476,31.999],[-93.452,32.0003],[-93.4558,32.0034],[-93.4597,32.0061],[-93.4609,32.0111],[-93.4621,32.017],[-93.4638,32.022],[-93.4672,32.026],[-93.4769,32.0272],[-93.4802,32.0299],[-93.4814,32.0335],[-93.479,32.0472],[-93.4798,32.0568],[-93.4848,32.0604],[-93.4896,32.0603],[-93.5049,32.0641],[-93.5071,32.0673],[-93.5068,32.075],[-93.5139,32.0804],[-93.5135,32.0858],[-93.525,32.0911],[-93.53,32.0969],[-93.541,32.104],[-93.5411,32.1068],[-93.5384,32.1082],[-93.5369,32.1132],[-93.5295,32.1166],[-93.5227,32.1258],[-93.5129,32.1264],[-93.5098,32.1297],[-93.5099,32.1333],[-93.521,32.145],[-93.5225,32.1614],[-93.5215,32.1669],[-93.5249,32.1704],[-93.5261,32.1763],[-93.5312,32.1854],[-93.5379,32.1926],[-93.5525,32.1936],[-93.5547,32.1927],[-93.5672,32.1952],[-93.5809,32.2018],[-93.594,32.2061],[-93.5985,32.2124],[-93.5969,32.2147],[-93.5982,32.2215],[-93.6049,32.2269],[-93.6061,32.2319],[-93.6132,32.2349],[-93.6149,32.2376]]]},\"properties\":{\"name\":\"Red River\",\"state\":\"LA\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water/\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Angela L. 0000-0001-5845-4847","orcid":"https://orcid.org/0000-0001-5845-4847","contributorId":206329,"corporation":false,"usgs":true,"family":"Robinson","given":"Angela","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807145,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216978,"text":"fs20203052 - 2020 - Water resources of Bienville Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-12-22T12:43:18.405991","indexId":"fs20203052","displayToPublicDate":"2020-12-21T17:08:47","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":"2020-3052","displayTitle":"Water Resources of Bienville Parish, Louisiana","title":"Water resources of Bienville Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Bienville Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 13.03 million gallons per day (Mgal/d) of water were withdrawn in Bienville Parish, including about 12.88 Mgal/d from groundwater sources and 0.15 Mgal/d from surface-water sources. Withdrawals for industrial use accounted for about 78 percent (10.18 Mgal/d) of the total water withdrawn. Other categories of use included public supply, which accounted for about 18 percent of the total water withdrawn (2.33 Mgal/d); agriculture, composed of general irrigation and livestock, which accounted for about 1 percent (0.18 Mgal/d); and rural domestic (0.33 Mgal/d), which accounted for about 2&nbsp;percent. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1995 at more than 17 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203052","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Robinson, A.L., and White, V.E., 2020, Water resources of Bienville Parish, Louisiana: U.S. Geological Survey Fact Sheet 2020–3052, 6 p., https://doi.org/10.3133/fs20203052.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103354","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":381552,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3052/coverthb.jpg"},{"id":381553,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3052/fs20203052.pdf","text":"Report","size":"875 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020–3052"},{"id":381554,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"Bienville Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.8807,32.5853],[-92.8779,32.5202],[-92.8795,32.4541],[-92.8078,32.4545],[-92.7768,32.4548],[-92.7752,32.3865],[-92.7749,32.371],[-92.7746,32.3181],[-92.7739,32.3077],[-92.7732,32.2648],[-92.7751,32.2429],[-92.7739,32.2366],[-92.7824,32.2283],[-92.7861,32.2191],[-92.7963,32.214],[-92.8011,32.2085],[-92.8004,32.1984],[-92.7986,32.1916],[-92.8018,32.1866],[-92.8038,32.1783],[-92.8081,32.1742],[-92.8177,32.165],[-92.8198,32.1604],[-92.8207,32.149],[-92.9376,32.148],[-92.9407,32.148],[-93.0837,32.1488],[-93.186,32.1487],[-93.1889,32.1568],[-93.1917,32.1632],[-93.1924,32.17],[-93.1937,32.18],[-93.1954,32.1832],[-93.1987,32.1872],[-93.202,32.1885],[-93.2097,32.1934],[-93.2116,32.2066],[-93.2123,32.2144],[-93.213,32.2207],[-93.212,32.2258],[-93.2127,32.2308],[-93.2139,32.2358],[-93.2475,32.2362],[-93.3417,32.236],[-93.3558,32.2363],[-93.3959,32.236],[-93.4057,32.2363],[-93.4284,32.236],[-93.4269,32.2387],[-93.4193,32.2393],[-93.4125,32.2485],[-93.4111,32.2599],[-93.413,32.2713],[-93.4126,32.2763],[-93.4101,32.2832],[-93.4155,32.2854],[-93.4204,32.284],[-93.4226,32.2871],[-93.4228,32.2944],[-93.4302,32.3089],[-93.4244,32.314],[-93.4213,32.3227],[-93.4111,32.3493],[-93.4037,32.3572],[-93.4023,32.3649],[-93.4056,32.3703],[-93.4176,32.3729],[-93.4248,32.3773],[-93.4288,32.3854],[-93.4273,32.3923],[-93.4215,32.3997],[-93.4162,32.4016],[-93.3981,32.3951],[-93.3916,32.3947],[-93.3729,32.4105],[-93.324,32.4104],[-93.3186,32.4101],[-93.2811,32.4102],[-93.242,32.4099],[-93.2371,32.41],[-93.2366,32.4114],[-93.237,32.4273],[-93.2371,32.4346],[-93.2371,32.4555],[-93.2083,32.4555],[-93.1485,32.4564],[-93.1491,32.4587],[-93.1518,32.4595],[-93.1514,32.4627],[-93.1503,32.465],[-93.1504,32.4669],[-93.1488,32.4705],[-93.1466,32.4715],[-93.1473,32.4783],[-93.1474,32.4801],[-93.1533,32.48],[-93.1561,32.4823],[-93.1535,32.4887],[-93.1558,32.4932],[-93.1586,32.4982],[-93.1608,32.5],[-93.1642,32.5036],[-93.1671,32.5117],[-93.1666,32.5158],[-93.1695,32.5254],[-93.1714,32.5354],[-93.1721,32.5431],[-93.1684,32.5522],[-93.1696,32.5563],[-93.1724,32.5577],[-93.18,32.5863],[-93.063,32.5852],[-92.9998,32.5838],[-92.8965,32.5846],[-92.8807,32.5853]]]},\"properties\":{\"name\":\"Bienville\",\"state\":\"LA\"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/lmg-water/\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Angela L. 0000-0001-5845-4847","orcid":"https://orcid.org/0000-0001-5845-4847","contributorId":206329,"corporation":false,"usgs":true,"family":"Robinson","given":"Angela","email":"","middleInitial":"L.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208328,"text":"sir20205007 - 2020 - Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico","interactions":[],"lastModifiedDate":"2022-04-25T21:17:00.184426","indexId":"sir20205007","displayToPublicDate":"2020-12-21T08:28:55","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":"2020-5007","displayTitle":"Optimization Assessment of a Groundwater-Level Observation Network in the Middle Rio Grande Basin, New Mexico","title":"Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Albuquerque Bernalillo County Water Utility Authority (ABCWUA), measures groundwater levels continuously (hourly) and discretely (semiannually and annually) at a network of wells and piezometers (hereafter called the observation network) within the Middle Rio Grande Basin in central New Mexico. Groundwater levels that are measured in this observation network provide a long-term hydrologic dataset that is heavily relied upon to make water management decisions. The desire to upgrade and perform maintenance on this observation network initiated this study, which assesses the spatial and temporal importance of measurements towards optimization of monitoring the observation network to reduce or redirect monitoring costs. This report describes the methods and results of the optimization assessment of this observation network, which included separate spatial and temporal methodologies and an evaluation using principal component analysis (PCA).</p><p>Results from the spatial optimization assessment can be used to help identify observation network sites that do not significantly affect the generation of winter groundwater-elevation contour maps of the production zone. Results from the temporal optimization assessment and PCA can also be consulted when deciding which sites to remove from the network, especially for sites that are monitored more frequently than annually. Results from the temporal optimization assessment can be used to inform the minimum monitoring frequency at the observation network required to capture the trends shown in higher frequency monitoring. The PCA results distinguish spatially distributed characteristic water-level trends that can inform the management decisions that are made when using the spatial and temporal optimization assessment results. Reducing the temporal frequency or spatial density of monitoring is ultimately a management decision that depends on the amount of data loss or degradation that is deemed acceptable while still meeting the network objectives of the ABCWUA. This study can also serve as a starting point to a data gap analysis of local aquifer characteristics and help guide enhanced observation network design as needs arise or in advance of future water management decisions.</p><p>The results of the spatial optimization assessment indicate that as many as about 20 specified sites can be removed from the observation network with a relatively small loss in the ability to represent the kriged groundwater-elevation surfaces of the production zone that were generated by using median groundwater elevations for two periods: the 2001 time interval and 2015 time interval. This analysis also demonstrated the importance of wells at the margin of the study area and in areas where there are large hydrologic gradients. At many of the 47 hourly monitored sites analyzed in the temporal optimization assessment, temporal trends were well represented for at least one of the reduced monitoring frequencies tested, indicating that a reduced frequency may be sufficient to adequately characterize seasonal and long-term trends. PCA and k-means clustering analysis of the 15 hourly monitored sites that are screened within the production zone indicate that the sites can be categorized into four groups, or clusters, of differing groundwater-level hydrograph characteristics. Except for one cluster, all of the clusters have the potential to be well represented by fewer index monitoring sites.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205007","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Ritchie, A.B., and Pepin, J.D., 2020, Optimization assessment of a groundwater-level observation network in the Middle Rio Grande Basin, New Mexico (ver. 2, December 2020): U.S. Geological Survey Scientific Investigations Report 2020–5007, 113 p., https://doi.org/10.3133/sir20205007.","productDescription":"Report: vii, 113 p.; 2 Figures","numberOfPages":"125","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-102753","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":373207,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007.pdf","text":"Report","size":"7.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007"},{"id":399629,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_109787.htm"},{"id":381500,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2020/5007/versionHist.txt","text":"Version History","description":"SIR 2020–5007 Version History"},{"id":373209,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007_figure23B.pdf","text":"Figure 23B","size":"170 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007 Figure 23B","linkHelpText":"Clustered monthly median hydrographs plotted using an independent y-axis range for all plots"},{"id":373208,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2020/5007/sir20205007_figure23A.pdf","text":"Figure 23A","size":"163 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5007 Figure 23A","linkHelpText":"Clustered monthly median hydrographs plotted using the same fixed y-axis range for all plots"},{"id":373206,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5007/coverthb2.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Middle Rio Grande Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.8517,\n              34.9064\n            ],\n            [\n              -106.4542,\n              34.9064\n            ],\n            [\n              -106.4542,\n              35.4011\n            ],\n            [\n              -106.8517,\n              35.4011\n            ],\n            [\n              -106.8517,\n              34.9064\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: March 17, 2020; Version 2.0: December 21, 2020","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey<br>6700 Edith Blvd. NE <br>Albuquerque, NM 87113<br> </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Optimization Assessment of the Observation Network</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-03-17","revisedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ritchie, Andre B. 0000-0003-1289-653X","orcid":"https://orcid.org/0000-0003-1289-653X","contributorId":214611,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andre","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pepin, Jeffrey D. 0000-0002-7410-9979","orcid":"https://orcid.org/0000-0002-7410-9979","contributorId":222161,"corporation":false,"usgs":true,"family":"Pepin","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":781427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70223362,"text":"70223362 - 2020 - The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs","interactions":[],"lastModifiedDate":"2021-08-25T13:31:32.56306","indexId":"70223362","displayToPublicDate":"2020-12-21T08:16:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs","docAbstract":"<p><span>In the U.S., 525,000 horseshoe crabs (</span><i>Limulus polyphemus</i><span>) per year have been captured during 2013–2017, brought to biomedical facilities, and bled to produce Limulus amebocyte lysate (LAL), then mostly released to the area of capture. The Atlantic States Marine Fisheries Commission estimates short-term bleeding-induced mortality to be 15% (4% to 30%), resulting in mortality of approximately 78,750 horseshoe crabs annually in recent years comprising a minor portion (&lt;13%) of the up to one million annual coastwide landings dominated by harvest for bait. However, the long-term effect of bleeding for LAL on annual survival and spawning behavior is unknown; thus, results from short-term studies alone might underestimate bleeding effects at the population level. To address this knowledge gap, we analyzed data from the U.S. Fish and Wildlife horseshoe crab tagging database to estimate the differences in survival and recapture rates of bled and not bled horseshoe crabs tagged in the same years and geographic area. Contrary to expectation, survival was not lower for bled crabs compared to unbled crabs. Differences varied, but survival estimates tended to be higher for bled crabs than for unbled crabs. However, biomedical culling and selection for younger or healthier animals could have resulted in biomedically tagged individuals representing a healthier subset of the overall population with subsequent higher survival. Furthermore, the tagging analysis revealed a post-bleeding reduction in capture probability, which could indicate decreased spawning activity, evident in males more than females. Continued tagging of bled and unbled crabs in the same geographic area while recording age class and sex will contribute to the further resolution of LAL production’s effect on horseshoe crab populations.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2020.607668","usgsCitation":"Smith, D.R., Newhard, J., McGowan, C.P., and Butler, C.A., 2020, The Long-term effect of bleeding for Limulus amebocyte lysate on annual survival and recapture of tagged horseshoe crabs: Frontiers in Marine Science, v. 7, 607668, 13 p., https://doi.org/10.3389/fmars.2020.607668.","productDescription":"607668, 13 p.","ipdsId":"IP-115044","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":454627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.607668","text":"Publisher Index Page"},{"id":388481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","otherGeospatial":"Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.69580078125,\n              37.09900294387622\n            ],\n            [\n              -75.08056640625,\n              37.97018468810549\n            ],\n            [\n              -74.6630859375,\n              38.496593518947584\n            ],\n            [\n              -74.92675781249999,\n              38.950865400919994\n            ],\n            [\n              -74.8828125,\n              39.172658670429946\n            ],\n            [\n              -75.509033203125,\n              39.46164364205549\n            ],\n            [\n              -75.421142578125,\n              39.257778150283364\n            ],\n            [\n              -75.30029296875,\n              38.89958342598271\n            ],\n            [\n              -75.12451171875,\n              38.685509760012\n            ],\n            [\n              -75.146484375,\n              38.53097889440024\n            ],\n            [\n              -75.135498046875,\n              38.272688535980976\n            ],\n            [\n              -75.30029296875,\n              38.151837403006766\n            ],\n            [\n              -75.7177734375,\n              37.55328764595765\n            ],\n            [\n              -75.89355468749999,\n              37.274052809979054\n            ],\n            [\n              -75.69580078125,\n              37.09900294387622\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, David R. 0000-0001-6074-9257 drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":821862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newhard, Joshua","contributorId":264675,"corporation":false,"usgs":false,"family":"Newhard","given":"Joshua","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":821863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":821864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Butler, C. Alyssa","contributorId":264748,"corporation":false,"usgs":false,"family":"Butler","given":"C.","email":"","middleInitial":"Alyssa","affiliations":[],"preferred":false,"id":821933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216954,"text":"sim3467 - 2020 - Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019","interactions":[],"lastModifiedDate":"2020-12-22T12:34:16.328212","indexId":"sim3467","displayToPublicDate":"2020-12-21T05:56:20","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3467","displayTitle":"Bathymetric Map, Surface Area, and Capacity of Grand Lake O’ the Cherokees, Northeastern Oklahoma, 2019","title":"Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Grand River Dam Authority, completed a high-resolution multibeam bathymetric survey to compute a new area and capacity table for Grand Lake O’ the Cherokees in northeastern Oklahoma. Area and capacity tables identify the relation between the elevation of the water surface and the volume of water that can be impounded at each water-surface elevation. The area and capacity of Grand Lake O’ the Cherokees were computed from a triangular irregular network surface created in Global Mapper Version 21.0.1. The triangular irregular network surface was created from three datasets: (1) a multibeam mapping system bathymetric survey of Grand Lake O’ the Cherokees completed during April–July 2019, (2) a previous bathymetric survey of the Neosho, Spring, and Elk Rivers, and (3) a 2010 USGS lidar-derived digital elevation model. The digital elevation model data were used in areas with land-surface elevations greater than 744 feet above the North American Vertical Datum of 1988 where the multibeam sonar data could not be collected. The 2019 multibeam sonar data were the predominant data used to compute the new area and capacity table for Grand Lake O’ the Cherokees.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3467","collaboration":"Prepared in cooperation with the Grand River Dam Authority","usgsCitation":"Hunter, S.L., Trevisan, A.R., Villa, J., and Smith, K.A., 2020, Bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019: U.S. Geological Survey Scientific Investigations Map 3467, 2 sheets, https://doi.org/10.3133/sim3467.","productDescription":"2 Sheets: 36.00 x 42.00 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-116457","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":381444,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3467/coverthb.jpg"},{"id":381448,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3467/sim3467_sheet1.pdf","text":"Sheet 1","size":"5.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3467 Sheet 1"},{"id":381449,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3467/sim3467_sheet2.pdf","text":"Sheet 2","size":"26.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3467 Sheet 2"},{"id":381450,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KA2T3Z","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Data release of bathymetric map, surface area, and capacity of Grand Lake O’ the Cherokees, northeastern Oklahoma, 2019"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Grand Lake O’ the Cherokees","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -95.10589599609375,\n              36.436751611390264\n            ],\n            [\n              -94.60601806640625,\n              36.436751611390264\n            ],\n            [\n              -94.60601806640625,\n              36.8510544475565\n            ],\n            [\n              -95.10589599609375,\n              36.8510544475565\n            ],\n            [\n              -95.10589599609375,\n              36.436751611390264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/tx-water/\" href=\"https://www.usgs.gov/centers/tx-water/\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane <br>Austin, Texas 78754–4501 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of the Study Area</li><li>Methods of Bathymetric Survey and Data Analysis</li><li>Bathymetric Data-Collection Quality Assurance</li><li>Bathymetric Surface and Contour Quality Assurance</li><li>Bathymetry, Surface Area, and Capacity Results</li><li>References</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-12-21","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, Shelby L. 0000-0002-3049-7498 slhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-3049-7498","contributorId":196727,"corporation":false,"usgs":true,"family":"Hunter","given":"Shelby","email":"slhunter@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trevisan, A.R. 0000-0002-7295-145X","orcid":"https://orcid.org/0000-0002-7295-145X","contributorId":220399,"corporation":false,"usgs":true,"family":"Trevisan","given":"A.R.","email":"","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villa, Jennifer 0000-0002-4774-7166","orcid":"https://orcid.org/0000-0002-4774-7166","contributorId":245824,"corporation":false,"usgs":true,"family":"Villa","given":"Jennifer","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Kevin A. 0000-0001-6846-5929","orcid":"https://orcid.org/0000-0001-6846-5929","contributorId":50612,"corporation":false,"usgs":true,"family":"Smith","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807069,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70219507,"text":"70219507 - 2020 - Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment","interactions":[],"lastModifiedDate":"2021-04-13T12:19:18.267915","indexId":"70219507","displayToPublicDate":"2020-12-20T11:37:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The continental shelves of the Arctic Ocean and surrounding seas contain large stocks of organic matter (OM) and methane (CH<sub>4</sub>), representing a potential ecosystem feedback to climate change not included in international climate agreements. We performed a structured expert assessment with 25 permafrost researchers to combine quantitative estimates of the stocks and sensitivity of organic carbon in the subsea permafrost domain (i.e. unglaciated portions of the continental shelves exposed during the last glacial period). Experts estimated that the subsea permafrost domain contains ~560 gigatons carbon (GtC; 170–740, 90% confidence interval) in OM and 45 GtC (10–110) in CH<sub>4</sub>. Current fluxes of CH<sub>4</sub><span>&nbsp;</span>and carbon dioxide (CO<sub>2</sub>) to the water column were estimated at 18 (2–34) and 38 (13–110) megatons C yr<sup>−1</sup>, respectively. Under Representative Concentration Pathway (RCP) RCP8.5, the subsea permafrost domain could release 43 Gt CO<sub>2</sub>-equivalent (CO<sub>2</sub>e) by 2100 (14–110) and 190 Gt CO<sub>2</sub>e by 2300 (45–590), with ~30% fewer emissions under RCP2.6. The range of uncertainty demonstrates a serious knowledge gap but provides initial estimates of the magnitude and timing of the subsea permafrost climate feedback.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/abcc29","usgsCitation":"Sayedi, S., Thornton, B., Abbott, B., Frederick, J.M., Vonk, J.E., Overduin, P., Schadel, C., Schuur, E., Bourbonnais, A., Demidova, N., Gavrilov, A., He, S., Gustaf Hugelius, G., Jakobsson, M., Jones, M.C., Joung, D., Kraev, G., Macdonald, R.W., McGuire, A.D., Mu, C., O’Regan, M., Schreiner, K.M., Stranne, C., Pizhankova, E., Vasiliev, A., Westermann, S., Zarnetske, J.P., Zhang, T., Ghandehari, M., Baeumler, S., Brown, B.C., and Frei, R.J., 2020, Subsea permafrost carbon stocks and climate change sensitivity estimated by expert assessment: Environmental Research Letters, v. 15, no. 12, 124075, 13 p., https://doi.org/10.1088/1748-9326/abcc29.","productDescription":"124075, 13 p.","ipdsId":"IP-118667","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":454630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/abcc29","text":"Publisher Index Page"},{"id":385030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sayedi, Sara 0000-0001-5272-4383","orcid":"https://orcid.org/0000-0001-5272-4383","contributorId":257232,"corporation":false,"usgs":false,"family":"Sayedi","given":"Sara","email":"","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":813833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thornton, B.F. 0000-0002-5640-6419","orcid":"https://orcid.org/0000-0002-5640-6419","contributorId":248733,"corporation":false,"usgs":false,"family":"Thornton","given":"B.F.","email":"","affiliations":[{"id":49996,"text":"Stockholm University, Department of Geological Sciences and Bolin Centre for Climate Research, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":814013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbott, Benjamin 0000-0001-5861-3481","orcid":"https://orcid.org/0000-0001-5861-3481","contributorId":215170,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","email":"","affiliations":[{"id":39191,"text":"Bringham Young Unviersity","active":true,"usgs":false}],"preferred":false,"id":814012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frederick, Jennifer M. 0000-0003-2414-778X","orcid":"https://orcid.org/0000-0003-2414-778X","contributorId":208631,"corporation":false,"usgs":false,"family":"Frederick","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[{"id":37851,"text":"Sandia National Laboratories, Albuquerque, New Mexico, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":814014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vonk, Jorien E.","contributorId":150794,"corporation":false,"usgs":false,"family":"Vonk","given":"Jorien","email":"","middleInitial":"E.","affiliations":[{"id":18101,"text":"Utrecht University, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":814015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overduin, Paul","contributorId":248328,"corporation":false,"usgs":false,"family":"Overduin","given":"Paul","email":"","affiliations":[{"id":49850,"text":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":814016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schadel, Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":814017,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schuur, E.A.G.","contributorId":199638,"corporation":false,"usgs":false,"family":"Schuur","given":"E.A.G.","email":"","affiliations":[],"preferred":false,"id":814018,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bourbonnais, A.","contributorId":248726,"corporation":false,"usgs":false,"family":"Bourbonnais","given":"A.","email":"","affiliations":[{"id":49991,"text":"University of South Carolina, School of the Earth, Ocean and Environment, South Carolina","active":true,"usgs":false}],"preferred":false,"id":814019,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demidova, N.","contributorId":61659,"corporation":false,"usgs":true,"family":"Demidova","given":"N.","email":"","affiliations":[],"preferred":false,"id":814020,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gavrilov, Anatoly","contributorId":209709,"corporation":false,"usgs":false,"family":"Gavrilov","given":"Anatoly","email":"","affiliations":[{"id":37971,"text":"Directorate of Taimyrsky Reserves","active":true,"usgs":false}],"preferred":false,"id":814021,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"He, Shengping 0000-0003-4245-357X","orcid":"https://orcid.org/0000-0003-4245-357X","contributorId":257293,"corporation":false,"usgs":false,"family":"He","given":"Shengping","email":"","affiliations":[{"id":28158,"text":"University of 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miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":814025,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Joung, DoongJoo 0000-0002-2711-3780","orcid":"https://orcid.org/0000-0002-2711-3780","contributorId":245909,"corporation":false,"usgs":false,"family":"Joung","given":"DoongJoo","email":"","affiliations":[{"id":37381,"text":"University of Rochester","active":true,"usgs":false}],"preferred":false,"id":814026,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kraev, Gleb","contributorId":257294,"corporation":false,"usgs":false,"family":"Kraev","given":"Gleb","email":"","affiliations":[{"id":28162,"text":"Vrije University Amsterdam","active":true,"usgs":false},{"id":12544,"text":"Russian Academy of Sciences, Moscow, Russia","active":true,"usgs":false}],"preferred":false,"id":814027,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Macdonald, Robie W.","contributorId":167171,"corporation":false,"usgs":false,"family":"Macdonald","given":"Robie","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":814028,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":814029,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Mu, Cuicui","contributorId":168877,"corporation":false,"usgs":false,"family":"Mu","given":"Cuicui","email":"","affiliations":[{"id":25375,"text":"Lanzhou University, PR China","active":true,"usgs":false}],"preferred":false,"id":814030,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"O’Regan, M.","contributorId":38361,"corporation":false,"usgs":true,"family":"O’Regan","given":"M.","email":"","affiliations":[],"preferred":false,"id":814031,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schreiner, Kathryn M.","contributorId":201540,"corporation":false,"usgs":false,"family":"Schreiner","given":"Kathryn","email":"","middleInitial":"M.","affiliations":[{"id":36192,"text":"Large Lakes Observatory, University of Minnesota Duluth, Duluth, Minnesota, USA.","active":true,"usgs":false}],"preferred":false,"id":814032,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Stranne, Christian","contributorId":166862,"corporation":false,"usgs":false,"family":"Stranne","given":"Christian","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":814033,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Pizhankova, Elena","contributorId":257306,"corporation":false,"usgs":false,"family":"Pizhankova","given":"Elena","email":"","affiliations":[{"id":16615,"text":"Moscow State University","active":true,"usgs":false}],"preferred":false,"id":814034,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Vasiliev, A.","contributorId":216063,"corporation":false,"usgs":false,"family":"Vasiliev","given":"A.","email":"","affiliations":[],"preferred":false,"id":814035,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Westermann, S.","contributorId":216066,"corporation":false,"usgs":false,"family":"Westermann","given":"S.","email":"","affiliations":[],"preferred":false,"id":814036,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Zarnetske, Jay P.","contributorId":210073,"corporation":false,"usgs":false,"family":"Zarnetske","given":"Jay","email":"","middleInitial":"P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":814043,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Zhang, Tingjun","contributorId":66600,"corporation":false,"usgs":false,"family":"Zhang","given":"Tingjun","affiliations":[{"id":28117,"text":"Lanzhou University, Lanzhou, China","active":true,"usgs":false}],"preferred":false,"id":814044,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Ghandehari, M","contributorId":196539,"corporation":false,"usgs":false,"family":"Ghandehari","given":"M","email":"","affiliations":[],"preferred":false,"id":814045,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Baeumler, Sarah 0000-0003-1772-8180","orcid":"https://orcid.org/0000-0003-1772-8180","contributorId":257317,"corporation":false,"usgs":false,"family":"Baeumler","given":"Sarah","email":"","affiliations":[{"id":32910,"text":"Ludwig-Maximilians-Universität Munich, Germany","active":true,"usgs":false}],"preferred":false,"id":814046,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Brown, Brian C.","contributorId":257319,"corporation":false,"usgs":false,"family":"Brown","given":"Brian","email":"","middleInitial":"C.","affiliations":[{"id":48387,"text":"BYU","active":true,"usgs":false}],"preferred":false,"id":814047,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Frei, Rebecca J.","contributorId":247665,"corporation":false,"usgs":false,"family":"Frei","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":814048,"contributorType":{"id":1,"text":"Authors"},"rank":32}]}}
,{"id":70217861,"text":"70217861 - 2020 - Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition","interactions":[],"lastModifiedDate":"2021-02-08T13:41:21.059551","indexId":"70217861","displayToPublicDate":"2020-12-20T07:39:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5678,"text":"Fire","active":true,"publicationSubtype":{"id":10}},"title":"Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">Accurate maps of the wildland–urban interface (WUI) are critical for the development of effective land management policies, conducting risk assessments, and the mitigation of wildfire risk. Most WUI maps identify areas at risk from wildfire by overlaying coarse-scale housing data with land cover or vegetation data. However, it is unclear how well the current WUI mapping methods capture the patterns of building loss. We quantified the building loss in WUI disasters, and then compared how well census-based and point-based WUI maps captured the building loss. We examined the building loss in both WUI and non-WUI land-use types, and in relation to the core components of the United States Federal Register WUI definition: housing density, vegetation cover, and proximity to large patches of wildland vegetation. We used building location data from 70 large fires in the conterminous United States, which cumulatively destroyed 54,000 buildings from 2000 through to 2018. We found that: (1) 86% and 97% of the building loss occurred in areas designated as WUI using the census-based and point-based methods, respectively; (2) 95% and 100% of all of the losses occurred within 100 m and 850 m of wildland vegetation, respectively; and (3) WUI components were the most predictive of building loss when measured at fine scales.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/fire3040073","usgsCitation":"Caggiano, M.D., Hawbaker, T., Gannon, B., and Hoffman, C., 2020, Building loss in WUI disasters: Evaluating the core components of the wildland-urban interface definition: Fire, v. 3, no. 4, 73, 17 p., https://doi.org/10.3390/fire3040073.","productDescription":"73, 17 p.","ipdsId":"IP-123866","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":454632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fire3040073","text":"Publisher Index Page"},{"id":383088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Caggiano, Michael D.","contributorId":175232,"corporation":false,"usgs":false,"family":"Caggiano","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":809954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gannon, Benjamin","contributorId":248813,"corporation":false,"usgs":false,"family":"Gannon","given":"Benjamin","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoffman, Chad ","contributorId":175234,"corporation":false,"usgs":false,"family":"Hoffman","given":"Chad ","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":809956,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249387,"text":"70249387 - 2020 - Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data","interactions":[],"lastModifiedDate":"2023-10-05T12:23:00.788749","indexId":"70249387","displayToPublicDate":"2020-12-20T07:17:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data","docAbstract":"<div id=\"125397548\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The Gulf of Mexico (GOM) Joint Industry Project Leg 2 logging-while-drilling data in Walker Ridge lease block 313 (WR313) in the GOM detected gas hydrate in coarse- and fine-grained sediments at sites WR313-G and WR313-H. The coarse-grained units are thin (<span class=\"inline-formula no-formula-id\">⁠<span class=\"MathJax_Preview\"><span id=\"MJXp-Span-1\" class=\"MJXp-math\"><span id=\"MJXp-Span-2\" class=\"MJXp-mrow\"><span id=\"MJXp-Span-3\" class=\"MJXp-mo\">&lt;</span><span id=\"MJXp-Span-4\" class=\"MJXp-mn\">10</span><span id=\"MJXp-Span-5\" class=\"MJXp-mtext\">  </span><span id=\"MJXp-Span-6\" class=\"MJXp-mi\">m</span></span></span></span>⁠</span>) and highly saturated, whereas the fine-grained unit is thick (approximately 200&nbsp;m) with low saturation and fracture-filling gas hydrate. Unlike its coarse-grained counterpart, the seismic character of the fine-grained unit does not clearly indicate the presence of gas hydrate, which would likely have remained undiscovered in the absence of drilling. In this paper, through frequency-domain acoustic full-waveform inversion (FWI) of ocean-bottom seismometer data along a 2D multichannel seismic transect near sites WR313-G and WR313-H, we detect and quantify gas hydrate in the fine-grained unit. Key results are as follows: First, the base of the gas hydrate stability zone, which is not obvious in the reflection profile, can be discerned in the FWI results. Second, the gas hydrate in the fine-grained unit is mainly confined to the area between two sets of opposite-dipping normal faults implying that the fault architecture may be partially responsible for this gas hydrate accumulation and distribution.</p></div>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/INT-2018-0165.1","usgsCitation":"Wang, J., Jaiswal, P., Haines, S.S., Yang, Y., and Hart, P.E., 2020, Gas hydrate quantification in Walker Ridge block 313, Gulf of Mexico, from full-waveform inversion of ocean-bottom seismic data: Interpretation, v. 8, no. 1, p. T27-T42, https://doi.org/10.1190/INT-2018-0165.1.","productDescription":"16 p.","startPage":"T27","endPage":"T42","ipdsId":"IP-101701","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":421672,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.65078172500313,\n              29.442159076439353\n            ],\n            [\n              -92.65078172500313,\n              26.453314221515612\n            ],\n            [\n              -88.51962045154175,\n              26.453314221515612\n            ],\n            [\n              -88.51962045154175,\n              29.442159076439353\n            ],\n            [\n              -92.65078172500313,\n              29.442159076439353\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Jiliang","contributorId":330613,"corporation":false,"usgs":false,"family":"Wang","given":"Jiliang","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":885431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Priyank","contributorId":330614,"corporation":false,"usgs":false,"family":"Jaiswal","given":"Priyank","affiliations":[{"id":78942,"text":"Oklahoma State Univ","active":true,"usgs":false}],"preferred":false,"id":885432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":885433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Yihong","contributorId":330615,"corporation":false,"usgs":false,"family":"Yang","given":"Yihong","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":885434,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885435,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216971,"text":"70216971 - 2020 - Potomac tributary report: A summary of trends in tidal water quality and associated factors","interactions":[],"lastModifiedDate":"2023-08-22T13:01:40.234084","indexId":"70216971","displayToPublicDate":"2020-12-18T13:14:18","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Potomac tributary report: A summary of trends in tidal water quality and associated factors","docAbstract":"The Potomac Tributary Report summarizes change over time in a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the time period 1985 – 2018, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface total nitrogen (TN), surface total phosphorus (TP), spring and summer surface chlorophyll a, summer bottom dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual surface water temperature, bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in an Appendix.  Drivers discussed include physiographic watershed characteristics, changes in N, P, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices.  Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as wind-driven mixing of the water column, and biological factors such as phytoplankton biomass and the presence of submersed aquatic vegetation.\n\nTotal nutrient concentrations have been decreasing at most stations in the Potomac River over the long-term, with improvements persisting in the last 10 years as well. These trends follow from the decreasing discharge from TN and TP sources in the watershed. The TP source reductions are not as apparent in the direct loads to the river, which may be part of the reason that tidal nutrient concentrations are not decreasing at as many stations in the short-term as the long-term.  While degrading chlorophyll a and Secchi depth trends at several Potomac monitoring stations are concerning, recent improvements in summer oxygen concentrations are promising. The findings that chlorophyll a concentrations in the lower Potomac have either leveled out or improved may suggest a smaller amount of phytoplankton biomass available to fuel summer oxygen depletion. The responses of chlorophyll a, Secchi depth, and bottom DO are mixed in the Potomac tidal waters, but there are multiple possible reasons for this lag in response. Continuing to track water quality response and investigating these possibilities are important steps to understanding water quality patterns and changes in the Potomac River.","language":"English","publisher":"Chesapeake Bay Program Office","usgsCitation":"Keisman, J.L., Murphy, R., Devereux, O., Harcum, J., Karrh, R., Lane, M., Perry, E., Webber, J.S., Wei, Z., Zhang, Q., and Petenbrink, M.N., 2020, Potomac tributary report: A summary of trends in tidal water quality and associated factors, 48 p.","productDescription":"48 p.","ipdsId":"IP-116578","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":420011,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://cast-content.chesapeakebay.net/documents/TribSummaries%2FPotomac%20Tidal%20Tributary%20Report%20Final%202020-12-18.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":382768,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387867,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://cast.chesapeakebay.net/Home/TMDLTracking#tributaryRptsSection","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Pennsylvania, Virginia, West Viginia","otherGeospatial":"Potomic River watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.1123046875,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":807119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Rebecca 0000-0003-3391-1823","orcid":"https://orcid.org/0000-0003-3391-1823","contributorId":199777,"corporation":false,"usgs":false,"family":"Murphy","given":"Rebecca","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":true,"id":807120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Devereux, Olivia H. 0000-0002-3911-3307","orcid":"https://orcid.org/0000-0002-3911-3307","contributorId":198108,"corporation":false,"usgs":false,"family":"Devereux","given":"Olivia H.","affiliations":[],"preferred":false,"id":807121,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harcum, J.","contributorId":248519,"corporation":false,"usgs":false,"family":"Harcum","given":"J.","affiliations":[],"preferred":false,"id":809301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karrh, R.","contributorId":248520,"corporation":false,"usgs":false,"family":"Karrh","given":"R.","affiliations":[],"preferred":false,"id":809302,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lane, M.","contributorId":248521,"corporation":false,"usgs":false,"family":"Lane","given":"M.","affiliations":[],"preferred":false,"id":809303,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perry, E.","contributorId":248522,"corporation":false,"usgs":false,"family":"Perry","given":"E.","email":"","affiliations":[],"preferred":false,"id":809304,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807122,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wei, Zhaoying","contributorId":245828,"corporation":false,"usgs":false,"family":"Wei","given":"Zhaoying","email":"","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":807123,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":807124,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Petenbrink, Meghan Nicole 0000-0002-2944-9691","orcid":"https://orcid.org/0000-0002-2944-9691","contributorId":245829,"corporation":false,"usgs":true,"family":"Petenbrink","given":"Meghan","email":"","middleInitial":"Nicole","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807125,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70223486,"text":"70223486 - 2020 - Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States","interactions":[],"lastModifiedDate":"2021-08-30T13:25:27.947909","indexId":"70223486","displayToPublicDate":"2020-12-18T08:21:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States","docAbstract":"<div class=\"journal-abstract green-item\"><p>The first reported invasion of Asian swamp eels (<i>Monopterus albus</i>, ASE) in the continental United States was in the state of Georgia in 1994. This population was first discovered within several ponds on a private nature centre, but the ponds drained via an outflow pipe into marsh habitats along the Chattahoochee River. Our objective was to delineate the current invasion extent of ASE in the Chattahoochee River, Georgia, by sampling juvenile ASE within an occupancy modelling framework. We sampled 111 and 100 sites in 2015 and 2016 respectively, on 10 occasions, each within a 2-km radius of the purported invasion point to estimate the spatial extent of their invasion in this system. Leaf-litter traps (LLTs) were effective at documenting an increase in the invasion extent of ASE, from within 100&nbsp;m of the Chattahoochee Nature Center pond outflow to 1.6&nbsp;km away. Documenting the extent of invasion of this population has proven elusive in the past, but the use of LLTs to target juvenile eels has documented a larger invasion extent than previously known in the study system. The results of this research can be used to develop effective control and management strategies, such as locating potential breeding areas for targeted removal sampling.</p></div>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF20257","usgsCitation":"Johnson, J., Taylor, A., and Long, J.M., 2020, Estimating the invasion extent of Asian swamp eel (Monopterus: Synbranchidae) in an altered river of the south-eastern United States: Marine and Freshwater Research, v. 72, no. 6, p. 811-822, https://doi.org/10.1071/MF20257.","productDescription":"12 p.","startPage":"811","endPage":"822","ipdsId":"IP-100884","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":388657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Chattahoochee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.078125,\n              33.25706340236547\n            ],\n            [\n              -85.078125,\n              33.30298618122413\n            ],\n            [\n              -85.330810546875,\n              33.119150226768866\n            ],\n            [\n              -85.25390625,\n              32.85190345738802\n            ],\n            [\n              -85.10009765625,\n              32.37068286611427\n            ],\n            [\n              -85.242919921875,\n              32.0639555946604\n            ],\n            [\n              -85.220947265625,\n              31.62532121329918\n            ],\n            [\n              -85.20996093749999,\n              31.50362930577303\n            ],\n            [\n              -85.177001953125,\n              31.156408414557\n            ],\n            [\n              -84.990234375,\n              30.89279747750818\n            ],\n            [\n              -84.88037109375,\n              30.62845887475364\n            ],\n            [\n              -84.6826171875,\n              30.817346256492073\n            ],\n            [\n              -84.891357421875,\n              31.175209828310845\n            ],\n            [\n              -84.990234375,\n              31.774877618507386\n            ],\n            [\n              -84.825439453125,\n              32.41706632846282\n            ],\n            [\n              -85.05615234375,\n              32.79651010951669\n            ],\n            [\n              -85.078125,\n              33.25706340236547\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, J. R.","contributorId":264886,"corporation":false,"usgs":false,"family":"Johnson","given":"J. R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":822139,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, A. T.","contributorId":264887,"corporation":false,"usgs":false,"family":"Taylor","given":"A. T.","affiliations":[{"id":54572,"text":"University of Central Oklahoma","active":true,"usgs":false}],"preferred":false,"id":822140,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":822141,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216992,"text":"70216992 - 2020 - Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test","interactions":[],"lastModifiedDate":"2020-12-22T13:25:52.080479","indexId":"70216992","displayToPublicDate":"2020-12-18T07:25:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7476,"text":"International Journal of Comparative Psychology","active":true,"publicationSubtype":{"id":10}},"title":"Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test","docAbstract":"<div id=\"main\"><div data-reactroot=\"\"><div class=\"body\"><div><div class=\"c-columns--sticky-sidebar\"><div class=\"c-tabs\"><div class=\"c-tabs__content\"><div class=\"c-tabcontent\"><div id=\"details-content\"><div class=\"c-clientmarkup\"><p>Mirror self-recognition (MSR) tests have been conducted with a variety of species with the aim of examining whether subject animals have the capacity for self-awareness. To date, the majority of animals that have convincingly passed are highly social mammals whose wild counterparts live in complex societies, though there is much debate concerning what constitutes passing and what passing means in terms of self-awareness. Amid recent reports that a fish (cleaner wrasse,<span>&nbsp;</span><i>Labroides dimidiatus</i>) passed, it is intriguing that a mammal as highly social, tolerant, attentive, and cooperative as the grey wolf (<i>Canis lupus</i>) reportedly failed the test. Given the many possible reasons for failure, we aimed to elucidate the wolves’ responses at various stages of the MSR test to pinpoint potential problem areas where species-appropriate modifications to the test may be needed. Thus, we evaluated 6 socialized, captive grey wolves as a case study of failed MSR in socially complex canids. At a minimum, wolves did not respond to their reflection as an unfamiliar conspecific. Unfortunately, the wolves rapidly lost interest in the mirror and were uninterested in the applied marks. We note limitations of the MSR test for this species, recommend changes for future MSR tests of wolves, discuss other emerging self-cognizance methods for socially complex canids, and highlight the need for a suite of ecologically relevant, potentially scalable self-cognizance methods. Our findings and recommendations may aid in understanding self-cognizance in other untested highly social, cooperatively-hunting, coursing, terrestrial carnivores such as African wild dogs (<i>Lycaon pictus</i>), spotted hyenas (<i>Crocuta crocuta</i>), and African lions (<i>Panthera leo</i>).</p></div></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"UCLA","usgsCitation":"Barber-Meyer, S., and Schmidt, L.J., 2020, Fish out of water: Insights from a case study of a highly social animal that failed the mirror self-recognition test: International Journal of Comparative Psychology, v. 33, 16 p.","productDescription":"16 p.","ipdsId":"IP-090921","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":381567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":381566,"type":{"id":15,"text":"Index Page"},"url":"https://escholarship.org/uc/item/0bk066tc"}],"volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217941,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":807184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Lori J.","contributorId":245856,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","email":"","middleInitial":"J.","affiliations":[{"id":49346,"text":"International Wolf Center, Ely, MN","active":true,"usgs":false}],"preferred":false,"id":807185,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217203,"text":"70217203 - 2020 - Editorial: Plant-soil interactions under changing climate","interactions":[],"lastModifiedDate":"2021-01-12T13:16:27.333702","indexId":"70217203","displayToPublicDate":"2020-12-18T07:15:13","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5725,"text":"Frontiers in Plant Science","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Plant-soil interactions under changing climate","docAbstract":"<p class=\"mb15\">The health and well-being of plants and soil is crucial for all life on Earth. It is well-known that vegetation cover follows climatic zones, and plants respond to climatic drivers such as temperature and precipitation (Seddon et al., 2016;<span>&nbsp;</span>Kattge et al., 2020). It is also well-known that plant health depends on the properties and health of the soil (Ephrath et al., 2020), and that strong interactions among biota above and belowground dictate the functioning of both realms (Van der Putten et al., 2013). Yet, soils and the processes occurring belowground are often considered a “black box,” and are treated very simplistically in our efforts to understand, quantify, and model the future of the planet. Our understanding of the interactions between plants and soils is also far from complete and offers some of the most important research frontiers in community ecology, biogeochemistry, and global change science.</p>","language":"English","publisher":"Frontiers","doi":"10.3389/fpls.2020.621235","usgsCitation":"Sevanto, S., Grossiord, C., Klein, T., and Reed, S., 2020, Editorial: Plant-soil interactions under changing climate: Frontiers in Plant Science, v. 11, 621235, 2 p., https://doi.org/10.3389/fpls.2020.621235.","productDescription":"621235, 2 p.","ipdsId":"IP-124196","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fpls.2020.621235","text":"Publisher Index Page"},{"id":382085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2020-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Sevanto, Sanna","contributorId":150845,"corporation":false,"usgs":false,"family":"Sevanto","given":"Sanna","email":"","affiliations":[],"preferred":false,"id":807980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":807981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klein, Tamir","contributorId":181981,"corporation":false,"usgs":false,"family":"Klein","given":"Tamir","email":"","affiliations":[],"preferred":false,"id":807982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":807983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216898,"text":"sim3458 - 2020 - Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California","interactions":[],"lastModifiedDate":"2021-01-04T19:40:40.811178","indexId":"sim3458","displayToPublicDate":"2020-12-18T06:45:39","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3458","displayTitle":"Geologic Map and Borehole Stratigraphy of Hinkley Valley and Vicinity, San Bernardino County, California","title":"Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California","docAbstract":"<p>Hinkley Valley, in the central to western Mojave Desert of southeastern California, has a long historical record owing to its position as a crossroads for rail and road traffic and its position adjacent to the Mojave River. Subflow in the Mojave River provided groundwater recharge that maintained water consumption and demand by way of shallow wells for local agriculture in the valley. Its crossroads position led to construction of several power-transmission lines, pipeline, and communications cable routes that transect Hinkley Valley. One of these, a natural gas pipeline and its associated compressor station, was the locus of hexavalent chromium, Cr(VI), released into, and consequent contamination of, groundwater. Understanding the movement and fate of the contaminants is a complex hydrologic and geochemical problem. Geologic mapping of the Hinkley Valley area provides framework elements for use in resolving this problem. This report provides new information on surface and subsurface geology to better constrain the origin and geometry of hydrologically important deposits in the Hinkley Valley area and describes youthful faults that may control sediment distribution and groundwater flow. The geologic map (sheet 1) presents substantial new information on surficial geology, including Pliocene deposits, but does not contain significant new work on bedrock. Bedrock investigations were specific to identifying youthful faults and representative outcrops for rocks that were penetrated by boreholes in the valley. Special attention was placed on locating and describing youthful faults. In addition, we analyzed gravity data to (1) map horizontal gradients that we interpret to reflect long-term fault traces and to (2) estimate the depth to bedrock, which is defined as Miocene and older intrusive and metamorphic rocks for the purposes of this report. The subsurface geology of Hinkley Valley was investigated by examining borehole sediment cores and rock encountered at the base of the sediment section. We analyzed the core to determine depositional environments, provenance, and age of the sediment that infilled the valley. Valleys, mountains, and basins in the Hinkley Valley area are topographically complex and incompletely named. The nearly flat floored Hinkley Valley slopes gently northward. It is framed by Mount General and the informally named “Hinkley hills” (southeast of Mount General) on the northeast and by Iron Mountain and Lynx Cat Mountain on the southwest, although breaks in the western mountains allow stream connections between Hinkley Valley and another valley to the west that is herein referred to as Hawes valley. At its south end, Hinkley Valley is traversed by the entrenched Mojave River, which passes east out of the valley past Barstow. North of Hinkley Valley, a few low hills (including Red Hill) separate the valley from a broad west-sloping piedmont that is part of the physiographic Harper Basin (of which the Harper Lake playa is the center). The lower part of this piedmont, however, is referred to as Water Valley, although it is not a distinct valley. The name derives from groundwater sourced from subflow in the Mojave River, which caused shallow water and even artesian flow in Water Valley but not in other parts of the Harper Basin. When water filled the Harper Basin to form Pleistocene Lake Harper it not only submerged Water Valley but also northern Hinkley Valley.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3458","collaboration":"Prepared in cooperation with the Lahontan Regional Water Quality Control Board and the State Water Resources Control Board","usgsCitation":"Miller, D.M., Langenheim, V.E., and Haddon, E.K., 2020, Geologic map and borehole stratigraphy of Hinkley Valley and vicinity, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Map 3458, pamphlet 23 p., 2 sheets, scale 1:24,000, https://doi.org/10.3133/sim3458.","productDescription":"Pamphlet,: iv, 23 p.; 2 Sheets ; 2 Tables; Database; Data Release; Metadata","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-102109","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":381271,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_sheet2.pdf","text":"Sheet 2","size":"32 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381270,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_sheet1.pdf","text":"Sheet 1","size":"40 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381269,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_database.zip","text":"Database","size":"7.5 MB","linkFileType":{"id":6,"text":"zip"}},{"id":381268,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_base.zip","text":"Base","size":"1.25 GB","linkFileType":{"id":6,"text":"zip"}},{"id":381267,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_metadata.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":381266,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_pamphlet.pdf","text":"Pamphlet","size":"8 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381451,"rank":10,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FV5LG5","linkHelpText":"Gravity data of the Hinkley area, southern California"},{"id":381273,"rank":9,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_table_7.xlsx","text":"Table 7","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"}},{"id":381265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3458/covrthb.jpg"},{"id":381272,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sim/3458/sim3458_table_3.xlsx","text":"Table 3","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"}}],"country":"United States","state":"California","county":"San Bernadino County","otherGeospatial":"Hinkley Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.26257324218749,\n              34.80647431931937\n            ],\n            [\n              -117.06619262695312,\n              34.80647431931937\n            ],\n            [\n              -117.06619262695312,\n              35.060352812431496\n            ],\n            [\n              -117.26257324218749,\n              35.060352812431496\n            ],\n            [\n              -117.26257324218749,\n              34.80647431931937\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Director</a>,<br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Menlo Park, California</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov/\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591</p>","tableOfContents":"<ul><li>Introduction</li><li>Geologic Setting</li><li>Methods</li><li>Previous Work</li><li>Stratigraphy and Structure</li><li>Borehole Stratigraphy</li><li>Hydrologic Implications</li><li>Geologic Map</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-12-17","noUsgsAuthors":false,"publicationDate":"2020-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langenheim, Victoria E. 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":206978,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806860,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haddon, Elizabeth K. 0000-0001-7601-7755","orcid":"https://orcid.org/0000-0001-7601-7755","contributorId":238720,"corporation":false,"usgs":true,"family":"Haddon","given":"Elizabeth K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806861,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216956,"text":"70216956 - 2020 - Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska","interactions":[],"lastModifiedDate":"2022-11-14T16:56:56.383567","indexId":"70216956","displayToPublicDate":"2020-12-17T19:02:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska","docAbstract":"<p><span>Surface-based 2D electrical resistivity tomography (ERT) surveys were used to characterize permafrost distribution at wetland sites on the alluvial plain north of the Tanana River, 20 km southwest of Fairbanks, Alaska, in June and September 2014. The sites were part of an ecologically-sensitive research area characterizing biogeochemical response of this region to warming and permafrost thaw, and the site contained landscape features characteristic of interior Alaska, including thermokarst bog, forested permafrost plateau, and a rich fen. The results show how vegetation reflects shallow (0–10 m depth) permafrost distribution. Additionally, we saw shallow (0–3 m depth) low resistivity areas in forested permafrost plateau potentially indicating the presence of increased unfrozen water content as a precursor to ground instability and thaw. Time-lapse study from June to September suggested a depth of seasonal influence extending several meters below the active layer, potentially as a result of changes in unfrozen water content. A comparison of several electrode geometries (dipole-dipole, extended dipole-dipole, Wenner-Schlumberger) showed that for depths of interest to our study (0–10 m) results were similar, but data acquisition time with dipole-dipole was the shortest, making it our preferred geometry. The results show the utility of ERT surveys to characterize permafrost distribution at these sites, and how vegetation reflects shallow permafrost distribution. These results are valuable information for ecologically sensitive areas where ground-truthing can cause excessive disturbance. ERT data can be used to characterize the exact subsurface geometry of permafrost such that over time an understanding of changing permafrost conditions can be made in great detail. Characterizing the depth of thaw and thermal influence from the surface in these areas also provides important information as an indication of the depth to which carbon storage and microbially-mediated carbon processing may be affected.</span></p>","language":"English","publisher":"Environmental & Engineering Geophysical Society","doi":"10.2113/JEEG19-091","usgsCitation":"Conaway, C., Johnson, C., Lorenson, T., Turetsky, M.R., Euskirchen, E., Waldrop, M., and Swarzenski, P.W., 2020, Permafrost mapping with electrical resistivity tomography in two wetland systems north of the Tanana River, Interior Alaska: Journal of Environmental & Engineering Geophysics, v. 2, no. 25, p. 199-209, https://doi.org/10.2113/JEEG19-091.","productDescription":"11 p.","startPage":"199","endPage":"209","ipdsId":"IP-102186","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436695,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KTHH8X","text":"USGS data release","linkHelpText":"Permafrost Mapping in Two Wetland Systems North of the Tanana River in Interior Alaska 2014"},{"id":381485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Tanana River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -148.19732666015625,\n              64.72374428370091\n            ],\n            [\n              -148.4197998046875,\n              64.86527470612393\n            ],\n            [\n              -149.117431640625,\n              64.83959712503844\n            ],\n            [\n              -149.095458984375,\n              64.63564536799623\n            ],\n            [\n              -149.07073974609375,\n              64.57321597426092\n            ],\n            [\n              -148.7274169921875,\n              64.59561280029605\n            ],\n            [\n              -148.66973876953125,\n              64.63917482390902\n            ],\n            [\n              -148.392333984375,\n              64.66621875267623\n            ],\n            [\n              -148.19732666015625,\n              64.72374428370091\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","issue":"25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":201932,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher H.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":807080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Cordell 0000-0001-8353-8030","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":212817,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807082,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turetsky, Merritt R.","contributorId":169398,"corporation":false,"usgs":false,"family":"Turetsky","given":"Merritt","email":"","middleInitial":"R.","affiliations":[{"id":12660,"text":"University of Guelph","active":true,"usgs":false}],"preferred":false,"id":807083,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Euskirchen, Eugénie S.","contributorId":83378,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugénie S.","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":807084,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":807085,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":189823,"corporation":false,"usgs":false,"family":"Swarzenski","given":"Peter","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":807086,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70218740,"text":"70218740 - 2020 - Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\"","interactions":[],"lastModifiedDate":"2021-03-10T14:29:15.726312","indexId":"70218740","displayToPublicDate":"2020-12-17T08:21:32","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7750,"text":"Plant Science Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\"","docAbstract":"<p>Plant Anatomy: A Concept-Based Approach to the Structure of Seed Plants by Crang, Lyons-Sobaski, and Wise is a beautifully-illustrated, 600+ page textbook highlighting the wonderful diversity of anatomical form in plants. The layout of the chapters follows many traditional plant anatomy textbooks. Plant Anatomy begins with an overview of plant morphology and proceeds through evolutionary time and across systems (Chapter 1. The Nature of Plants) before zooming into the microscopic, internal world of plant structures and their function (Chapter 2. Microscopy and Imaging through Chapter 8. Phloem). Quite fortunately, historical context is described throughout these sections, highlighting seminal studies that have shaped the plant sciences over the past 300+ years.&nbsp;</p>","language":"English","publisher":"Botanical Society of America","usgsCitation":"Winkler, D.E., 2020, Book review of \"Plant anatomy—A concept based approach to the structure of seed plants\": Plant Science Bulletin, v. 66, no. 3, p. 261-262.","productDescription":"2 p.","startPage":"261","endPage":"262","ipdsId":"IP-124238","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":384277,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384254,"type":{"id":15,"text":"Index Page"},"url":"https://cms.botany.org/home/publications/plant-science-bulletin.html"}],"volume":"66","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Winkler, Daniel E. 0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":811575,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216972,"text":"70216972 - 2020 - Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery","interactions":[],"lastModifiedDate":"2020-12-21T13:59:32.421478","indexId":"70216972","displayToPublicDate":"2020-12-17T07:56:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery","docAbstract":"<p class=\"abstract_block\">Recovery of the elkhorn coral<span>&nbsp;</span><i>Acropora palmata</i><span>&nbsp;</span>is critical to reversing coral reef ecosystem collapse in the western Atlantic, but the species is severely threatened. To gauge potential for the species’ restoration in Florida, USA, we conducted an assisted migration experiment where 50 coral fragments of 5 nursery-raised genetic strains (genets) from the upper Florida Keys were moved to 5 sites across 350 km of the offshore reef. Additionally, 4 fragments from the 1 remaining colony of<span>&nbsp;</span><i>A. palmata</i><span>&nbsp;</span>in Dry Tortugas National Park (DRTO) were added to the 2 DRTO experimental sites to test for local adaptation. To measure coral performance, we tracked coral survival, calcification, growth, and condition from May 2018 to October 2019. All 24 corals relocated to the DRTO sites survived and calcified ~85% faster than the fewer surviving corals transplanted to the 2 upper Keys sites. While coral survival across the entire experiment did not depend on genet, there was a weak but statistically significant genetic effect on calcification rate among the corals relocated to DRTO. The DRTO native genet was among the fastest growing genets, but it was not the fastest, suggesting a lack of local adaptation at this scale. Our results indicate that DRTO, a remote reef system inhabited by the species during the Holocene and located at the nexus of major ocean currents, may be a prime location for reestablishing<span>&nbsp;</span><i>A. palmata</i>. Assisted migration of<span>&nbsp;</span><i>A. palmata</i><span>&nbsp;</span>to DRTO could restore a sexually reproducing population in &lt;10 yr, thereby promoting the species’ regional recovery.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01083","usgsCitation":"Kuffner, I.B., Stathakopoulos, A., Toth, L., and Bartlett, L., 2020, Reestablishing a stepping-stone population of the threatened elkhorn coral Acropora palmata to aid regional recovery: Endangered Species Research, v. 43, p. 461-473, https://doi.org/10.3354/esr01083.","productDescription":"13 p.","startPage":"461","endPage":"473","ipdsId":"IP-119764","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454641,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01083","text":"Publisher Index Page"},{"id":436696,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KZEGXY","text":"USGS data release","linkHelpText":"Experimental coral-growth data and time-series imagery for Acropora palmata in the Florida Keys, U.S.A."},{"id":381533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Keys","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.93603515625,\n              24.337086982410497\n            ],\n            [\n              -81.090087890625,\n              24.557116164309626\n            ],\n            [\n              -80.211181640625,\n              24.836595553891183\n            ],\n            [\n              -80.145263671875,\n              25.27450351782018\n            ],\n            [\n              -80.2880859375,\n              25.41350860804229\n            ],\n            [\n              -81.002197265625,\n              25.15522939494057\n            ],\n            [\n              -81.76025390625,\n              24.766784522874453\n            ],\n            [\n              -82.100830078125,\n              24.637031353509528\n            ],\n            [\n              -82.078857421875,\n              24.367113562651262\n            ],\n            [\n              -81.93603515625,\n              24.337086982410497\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kuffner, Ilsa B. 0000-0001-8804-7847 ikuffner@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7847","contributorId":3105,"corporation":false,"usgs":true,"family":"Kuffner","given":"Ilsa","email":"ikuffner@usgs.gov","middleInitial":"B.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stathakopoulos, Anastasios 0000-0002-4404-035X astathakopoulos@usgs.gov","orcid":"https://orcid.org/0000-0002-4404-035X","contributorId":147744,"corporation":false,"usgs":true,"family":"Stathakopoulos","given":"Anastasios","email":"astathakopoulos@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartlett, Lucy 0000-0001-6603-7090","orcid":"https://orcid.org/0000-0001-6603-7090","contributorId":214863,"corporation":false,"usgs":true,"family":"Bartlett","given":"Lucy","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":807133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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