{"pageNumber":"540","pageRowStart":"13475","pageSize":"25","recordCount":184617,"records":[{"id":70217135,"text":"sir20205131 - 2021 - The use of continuous water-quality time-series data to compute total phosphorus loadings for the Turkey River at Garber, Iowa, 2018–20","interactions":[],"lastModifiedDate":"2021-01-11T12:51:51.34034","indexId":"sir20205131","displayToPublicDate":"2021-01-07T17:25:00","publicationYear":"2021","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":"2020-5131","displayTitle":"The Use of Continuous Water-Quality Time-Series Data to Compute Total Phosphorus Loadings for the Turkey River at Garber, Iowa, 2018–20","title":"The use of continuous water-quality time-series data to compute total phosphorus loadings for the Turkey River at Garber, Iowa, 2018–20","docAbstract":"<p>In support of nutrient reduction efforts, total phosphorus loads and yields were computed for the Turkey River at Garber, Iowa (U.S. Geological Survey station 05412500), for January 1, 2018, to April 30, 2020, based on continuously monitored turbidity sensor data. Sample data were used to create a total phosphorus turbidity-surrogate model. Streamflow-based total phosphorus models were used during periods of missing sensor data to obtain a more complete annual total phosphorus load. This report presents methods needed to accurately compute site-specific loads and track annual progress toward nutrient reduction goals within the State.</p><p>Annual total phosphorus loads for the Turkey River at Garber, Iowa, were 1,740 and 1,490 U.S. short tons for 2018 and 2019, respectively, with annual yields ranging from 3.01 to 3.53 pounds per acre per year, compared to a mean statewide yield of 0.73 pound per acre per year needed to achieve the total phosphorus-reduction goal.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205131","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Garrett, J.D., 2021, The use of continuous water-quality time-series data to compute total phosphorus loadings for the Turkey River at Garber, Iowa, 2018–20: U.S. Geological Survey Scientific Investigations Report 2020–5131, 13 p., https://doi.org/10.3133/sir20205131.","productDescription":"Report: vi, 13 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119794","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":381971,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5131/sir20205131.pdf","text":"Report","size":"2.07 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5131"},{"id":381970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5131/coverthb.jpg"},{"id":382022,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS data release","linkHelpText":"National Water Information System"}],"country":"United States","state":"Iowa","city":"Garber","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.27939224243163,\n              42.73276565598371\n            ],\n            [\n              -91.24471664428711,\n              42.73276565598371\n            ],\n            [\n              -91.24471664428711,\n              42.74953333969568\n            ],\n            [\n              -91.27939224243163,\n              42.74953333969568\n            ],\n            [\n              -91.27939224243163,\n              42.73276565598371\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water/\" data-mce-href=\"https://www.usgs.gov/centers/cm-water/\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>400 South Clinton Street, Suite 269<br>Iowa City, IA 52240</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods for Data Collection and Computation</li><li>Sample Water-Quality and Sensor Data</li><li>Continuous Water-Quality Time-Series Data to Compute Nutrient Loadings</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrett, Jessica D. 0000-0002-4466-3709 jgarrett@usgs.gov","orcid":"https://orcid.org/0000-0002-4466-3709","contributorId":4229,"corporation":false,"usgs":true,"family":"Garrett","given":"Jessica","email":"jgarrett@usgs.gov","middleInitial":"D.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807718,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217094,"text":"sir20205119 - 2021 - Trends in groundwater levels in and near the Rosebud Indian Reservation, South Dakota, water years 1956–2017","interactions":[],"lastModifiedDate":"2021-01-08T12:48:31.039196","indexId":"sir20205119","displayToPublicDate":"2021-01-07T15:35:00","publicationYear":"2021","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":"2020-5119","displayTitle":"Trends in Groundwater Levels in and near the Rosebud Indian Reservation, South Dakota, Water Years 1956–2017","title":"Trends in groundwater levels in and near the Rosebud Indian Reservation, South Dakota, water years 1956–2017","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Rosebud Sioux Tribe, completed a study to characterize water-level fluctuations in observation wells to examine driving factors that affect water levels in and near the Rosebud Indian Reservation, which comprises all of Todd County. The study investigates concerns regarding potential effects of groundwater withdrawals and climate conditions on groundwater levels within an area that includes Todd County and a surrounding area that extends 10 miles north, east, and west of the county border. Characterization of water-level fluctuations in observation wells and relative driving factors was accomplished by statistical trend analysis.</p><p>Two statistical methods were used for analysis of temporal trends for climatic and hydrologic data. To determine which trend analysis to use, applicable datasets were tested for statistically significant short-term persistence (STP). In the absence of significant STP, existence of statistical trends was determined using the standard Mann-Kendall test for probability values less than or equal to 0.10 (90-percent confidence level); however, a modified Mann-Kendall test was used for datasets where statistically significant STP was detected. Trend magnitudes were computed using the Sen’s slope estimator.</p><p>Monthly data from the Parameter-elevation Regressions on Independent Slopes Model (PRISM) were aggregated to obtain annual and seasonal datasets for total precipitation, minimum air temperature (<i>T<sub>min</sub></i>), and maximum air temperature (<i>T<sub>max</sub></i>) for the study area and a surrounding buffer area. Trend tests for total precipitation,<i> T<sub>min</sub></i>, and <i>T<sub>max</sub></i> were completed for annual and seasonal time series for water years 1956–2017, which is about 2 years before the earliest available water-level measurements. A 2-year offset was arbitrarily selected because scrutiny of water-level and precipitation data indicated that responses of groundwater levels for many of the observation wells lagged major changes in precipitation patterns by about 2 years. Statistically significant upward trends were detected for annual precipitation and annual <i>T<sub>min</sub></i> for almost all of the study area and the surrounding buffer area. Statistically significant downward trends in <i>T<sub>max</sub></i> were detected for a very small part of the study area; however, the sparse spatial coverage reduces confidence that these are true trends. Spatial distributions of statistically significant trends in seasonal climate data were generally similar to the annual trends, but with substantial differences in the spatial density of the trends.</p><p>Groundwater trends for 58 observation wells were analyzed for three separate water-level parameters (minimum, median, and maximum) because wells are measured sporadically and data are biased towards more frequent measurements during periods of heaviest irrigation demand. Trends in the time series of annual precipitation (from PRISM) starting 2 years earlier than for the associated water-level trend also were analyzed for the location of each individual observation well. Sen’s slope and Mann-Kendall probability values (p-values) were computed for the three water-level parameters and for the annual precipitation time series. Graphs showing results of trend analyses for each observation well also showed changes over time in the sum of licensed groundwater withdrawals within six specified radii (0.5, 1, 2, 3, 4, and 5 miles) of each well as a qualitative indicator of proximal groundwater demand.</p><p>Of all 58 observation wells considered, 28 wells had significant upward trends for at least one of the three water-level parameters, 11 wells had significant downward trends for at least one water-level parameter, and 19 wells did not have any significant trends. Significant upward trends in annual precipitation were detected for 48 of the 58 wells.</p><p>Results of trend analyses likely show the effects of groundwater withdrawals on water levels in the Ogallala aquifer in areas of substantial demand. Precipitation trends are significantly upward for 43 of the 48 wells completed in the Ogallala aquifer that were analyzed. Of the 48 Ogallala aquifer wells, 24 had significant upward trends for at least one water-level parameter (17 with all 3); however, 10 wells had statistically significant downward trends for at least one water-level parameter (8 with all 3 parameters). All but one of the wells with significant downward trends are located in the south-central part of the study area where licensed irrigation withdrawals are concentrated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205119","collaboration":"Prepared in cooperation with the Rosebud Sioux Tribe","usgsCitation":"Valseth, K.J., and Driscoll, D.G., 2021, Trends in groundwater levels in and near the Rosebud Indian Reservation, South Dakota, water years 1956–2017: U.S. Geological Survey Scientific Investigations Report 2020–5119, 46 p., https://doi.org/10.3133/sir20205119.","productDescription":"Report: v, 46 p.; 2 Appendixes; Data Release","onlineOnly":"Y","ipdsId":"IP-111377","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":382008,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS data release","linkHelpText":"National Water Information System"},{"id":381910,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5119/sir20205119_appendix2.pdf","text":"Appendix 2","size":"132 kB","description":"SIR 2020-5119 Appendix 2"},{"id":381909,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5119/sir20205119_appendix1.pdf","text":"Appendix 1","size":"404 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5119 Appendix 1"},{"id":381908,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5119/sir20205119.pdf","text":"Report","size":"4.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5119"},{"id":381907,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5119/coverthb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Rosebud Indian Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -101.612548828125,\n              43.01268088642034\n            ],\n            [\n              -99.8492431640625,\n              43.01268088642034\n            ],\n            [\n              -99.8492431640625,\n              43.600284023536325\n            ],\n            [\n              -101.612548828125,\n              43.600284023536325\n            ],\n            [\n              -101.612548828125,\n              43.01268088642034\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/dakota-water/\" data-mce-href=\"https://www.usgs.gov/centers/dakota-water/\">Dakota Water Science Center</a><br>U.S. Geological Survey<br>821 East Interstate Avenue, Bismarck, ND 58503<br>1608 Mountain View Road, Rapid City, SD 57702</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Data Sources and Analytical Methods</li><li>Analysis of Trends</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li></ul>","publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Valseth, Kristen J. 0000-0003-4257-6094","orcid":"https://orcid.org/0000-0003-4257-6094","contributorId":203447,"corporation":false,"usgs":true,"family":"Valseth","given":"Kristen","email":"","middleInitial":"J.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Driscoll, Daniel G. 0000-0003-0016-8535 dgdrisco@usgs.gov","orcid":"https://orcid.org/0000-0003-0016-8535","contributorId":207583,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217126,"text":"sir20205136 - 2021 - Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)","interactions":[],"lastModifiedDate":"2021-01-07T19:55:25.469018","indexId":"sir20205136","displayToPublicDate":"2021-01-07T15:05:00","publicationYear":"2021","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":"2020-5136","displayTitle":"Statistical Methods for Simulating Structural Stormwater Runoff Best Management Practices (BMPs) With the Stochastic Empirical Loading and Dilution Model (SELDM)","title":"Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)","docAbstract":"<p>This report documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM). The U.S. Geological Survey developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration to indicate the risk for stormwater flows, concentrations, and loads to exceed user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables—hydrograph extension, volume reduction, and water-quality treatment—are simulated by using the trapezoidal distribution and the rank correlation with the associated runoff variables. This report describes methods for calculating the trapezoidal distribution statistics and rank correlation coefficients for these treatment variables and methods for estimating the minimum irreducible concentration (MIC), which is the lowest expected effluent concentration from a BMP site or a category of BMPs. These statistics are different from the statistics commonly used to characterize or compare BMPs; they are designed to provide a stochastic transfer function to approximate the quantity, duration, and quality of BMP effluent given the associated inflow values for a population of storm events.</p><p>Analyses for this study were done with data extracted from a modified copy of the December 2019 version of the International Stormwater Best Management Practices Database. Statistics for volume reduction, hydrograph extension, and water-quality treatment were developed with selected data. The medians of the best-fit statistics for selected constituents were used to construct generalized cumulative distribution functions for the three treatment variables. For volume reduction and hydrograph extension, selection of a Spearman’s rank correlation coefficient (rho) value that is the average of the median and maximum values for the BMP category may help generate realistic simulation results in SELDM. The median rho value may be selected to help generate realistic simulation results for water-quality treatment variables.</p><p>Water-quality treatment statistics, including trapezoidal ratios and MIC values, were developed for 51 runoff-quality constituents commonly measured in highway and urban runoff studies. Statistics were calculated for water-quality properties, sediment and solids, nutrients, major and trace inorganic elements, organic compounds, and biologic constituents.</p><p>Analysis of MIC values provides information to guide professional judgement for selecting values for simulating water quality at sites of interest. The MIC is a lower bound for BMP discharge concentrations and will therefore replace simulated BMP discharge concentrations below the selected value. A new method for estimating MIC values, the lognormal variate of inflow concentrations, was developed in this report and these statistics were calculated for individual constituents and constituent categories. Inflow quality is correlated to MIC values for some constituents, but regional soil concentrations were not strongly correlated to MIC values.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205136","collaboration":"Prepared in cooperation with the Federal Highway Administration","usgsCitation":"Granato, G.E., Spaetzel, A.B., and Medalie, L., 2021, Statistical methods for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM): U.S. Geological Survey Scientific Investigations Report 2020–5136, 41 p., https://doi.org/10.3133/sir20205136.","productDescription":"Report: 41 p.; 4 Tables; Data Release; Software Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-119618","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":381933,"rank":8,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5136/sir20205136_table01.04.txt","text":"Table 1.4","size":"89.4 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Estimates of correlations between the geometric mean concentration of inflows and selected minimum irreducible concentration estimates"},{"id":381930,"rank":5,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5136/sir20205136_table01.01.txt","text":"Table 1.1","size":"91.2 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Median of selected treatment statistics for individual constituents"},{"id":381932,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5136/sir20205136_table01.03.txt","text":"Table 1.3","size":"89.2 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Estimates of the lognormal variate values of selected minimum irreducible concentrations"},{"id":381929,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X3ECTD","text":"USGS data release","linkHelpText":"Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)"},{"id":381927,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5136/sir20205136.pdf","text":"Report","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5136"},{"id":381928,"rank":3,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P9XBPIOB","text":"USGS software release","linkHelpText":"- Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0"},{"id":381931,"rank":6,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5136/sir20205136_table01.02.txt","text":"Table 1.2","size":"87.5 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Estimates of the minimum irreducible concentration"},{"id":381926,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5136/coverthb.jpg"}],"contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results of Analyses</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Water-Quality Treatment Statistics for Individual Constituents</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":197631,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory","email":"ggranato@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spaetzel, Alana B. 0000-0002-9871-812X","orcid":"https://orcid.org/0000-0002-9871-812X","contributorId":240935,"corporation":false,"usgs":true,"family":"Spaetzel","given":"Alana","email":"","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Medalie, Laura 0000-0002-2440-2149 lmedalie@usgs.gov","orcid":"https://orcid.org/0000-0002-2440-2149","contributorId":3657,"corporation":false,"usgs":true,"family":"Medalie","given":"Laura","email":"lmedalie@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807673,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217128,"text":"ofr20201132 - 2021 - U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data","interactions":[],"lastModifiedDate":"2021-01-08T12:52:02.874636","indexId":"ofr20201132","displayToPublicDate":"2021-01-07T13:30:00","publicationYear":"2021","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":"2020-1132","displayTitle":"U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From Big Data to Smart Data","title":"U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data","docAbstract":"The U.S. Geological Survey (USGS) Community for Data Integration (CDI) Workshop was held during June 3–7, 2019, at Center Green in Boulder, Colo. The theme of the workshop was “From Big Data to Smart Data” with the purpose of bringing together the community to discuss current topics, shared challenges, and steps forward to advance twenty-first century science at the USGS. The workshop agenda was driven by the needs of the CDI with topics highlighting current resources and technologies that could help attendees in their daily work. Workshop-session categories included enabling integrated science, computing in the cloud, advancing data management, releasing and preserving science outputs, and improving usability and communication. These proceedings provide documentation of the plenary talks, topical-session content and notes, posters, live demonstrations, and attendee comments from the 2019 CDI Workshop.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201132","usgsCitation":"Hsu, L., 2021, U.S. Geological Survey Community for Data Integration 2019 Workshop Proceedings—From big data to smart data: U.S. Geological Survey Open-File Report 2020–1132, 48 p., https://doi.org/10.3133/ofr20201132.","productDescription":"ix, 48 p.","onlineOnly":"Y","ipdsId":"IP-122707","costCenters":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":381962,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1132/coverthb.jpg"},{"id":381963,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1132/ofr20201132.pdf","text":"Report","size":"7.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1132"}],"contact":"<p>Director, <a href=\"http://www.usgs.gov/core-science-systems/science-analytics-and-synthesis//\" data-mce-href=\"http://www.usgs.gov/core-science-systems/science-analytics-and-synthesis//\">Science Analytics and Synthesis</a><br>U.S. Geological Survey<br>P.O. Box 25046, Mail Stop 302<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Presentations</li><li>Topical Sessions</li><li>Trainings</li><li>DataBlast</li><li>Summary of Workshop Outcomes</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Agenda</li><li>Appendix 2. Attendees</li><li>Appendix 3. Key Take-aways</li><li>Appendix 4. Interactive Questions and Comments</li><li>Appendix 5. Community for Data Integration and Science Support Framework</li></ul>","publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Hsu, Leslie 0000-0002-5353-807X lhsu@usgs.gov","orcid":"https://orcid.org/0000-0002-5353-807X","contributorId":191745,"corporation":false,"usgs":true,"family":"Hsu","given":"Leslie","email":"lhsu@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":807675,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217127,"text":"fs20213002 - 2021 - Landsat collection 2","interactions":[],"lastModifiedDate":"2021-01-19T18:23:15.774882","indexId":"fs20213002","displayToPublicDate":"2021-01-07T13:10:00","publicationYear":"2021","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":"2021-3002","displayTitle":"Landsat Collection 2","title":"Landsat collection 2","docAbstract":"<p>Landsat Collections ensure that all Landsat Level-1 data are consistently calibrated and processed and retain traceability of data quality provenance. Landsat Collection 2 introduces improvements that harness recent advancements in data processing, algorithm development, data access, and distribution capabilities. Collection 2 includes Landsat Level-1 data for all sensors since 1972 and global Level-2 surface reflectance and surface temperature scene-based products for data acquired since 1982 starting with the Landsat Thematic Mapper sensor era.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213002","usgsCitation":"U.S. Geological Survey, 2021, Landsat Collection 2 (ver. 1.1, January 15, 2021): U.S. Geological Survey Fact Sheet 2021–3002, 4 p., https://doi.org/10.3133/fs20213002.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-123860","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":382187,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2021/3002/versionHist.txt","text":"Version History","size":"8.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2021-3002 Version History"},{"id":381947,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3002/coverthb2.jpg"},{"id":381948,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3002/fs20213002.pdf","text":"Report","size":"1.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021-3002 Version 1.1"}],"edition":"Version 1.0: January 7, 2021; Version 1.1: January 15, 2021","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/eros/\" data-mce-href=\"http://www.usgs.gov/centers/eros/\"> Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p>","tableOfContents":"<ul><li>Geometric Accuracy</li><li>Digital Elevation Models</li><li>Radiometric Calibration</li><li>Quality Assessment Bands</li><li>Metadata Files</li><li>Cloud Optimized File Format</li><li>Collection Tier Structure</li><li>Data Access</li></ul>","publishedDate":"2021-01-07","revisedDate":"2021-01-15","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":210377,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":808440,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217134,"text":"sir20205115 - 2021 - Water-resource management monitoring needs, State of Hawai‘i","interactions":[],"lastModifiedDate":"2021-01-08T12:57:15.296601","indexId":"sir20205115","displayToPublicDate":"2021-01-07T11:29:06","publicationYear":"2021","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":"2020-5115","displayTitle":"Water-Resource Management Monitoring Needs, State of Hawai‘i","title":"Water-resource management monitoring needs, State of Hawai‘i","docAbstract":"<p>In cooperation with the State of Hawai‘i Commission on Water Resource Management and in collaboration with the University of Hawaiʻi Water Resources Research Center, the U.S. Geological Survey developed a water-resource monitoring program—a rainfall, surface-water, and groundwater data-collection program—that is required to meet State needs for water-resource assessment, management, and protection in Hawai‘i. Current and foreseeable issues related to water-resource management and climate-change effects guided the evaluation of data-collection sites within the monitoring program. Data-collection sites currently (2018) being operated in Hawai‘i were evaluated, and additional data-collection sites were selected on the basis of their usefulness for characterizing anthropogenic effects on water resources or representing natural conditions. Data-collection strategies consist of a combination of continuous long-term monitoring to evaluate trends and climate-change effects and occasional and periodic intensive monitoring to enhance spatial understanding of hydrologic conditions and to address current issues in priority areas—areas that currently have water-availability issues or are expected to have the greatest socioeconomic or ecological effects because of climate change.</p><p>Priority areas for rainfall monitoring consist of urban and agricultural lands, areas with high rainfall and high-rainfall gradient, and areas within the trade-wind inversion band. Surface-water priority areas consist of streams with major surface-water diversions, with established interim instream-flow standards, in a surface-water management area, that support water leases, and with uncertainties in hydrogeologic characteristics. Priority areas for groundwater monitoring consist of areas with high withdrawal, declining water levels, reduced recharge, limited alternative sources, and uncertainties in hydrogeologic characteristics.</p><p>Data-quality objectives for the rainfall, surface-water, and groundwater monitoring programs that describe anticipated uses of the data were established with the goal of producing useful, reliable, and accurate water-resource information of&nbsp;sufficient precision to support decision making. The data-quality objectives also consider quality-assurance and quality-control programs that ensure defensible data. Establishment of common data-quality objectives not only assures comparability of data collected by multiple agencies but also allows data from academic, private, and public organizations to be useful for meeting State monitoring needs, provided the data meet appropriate data-quality objectives and data-accessibility requirements.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205115","collaboration":"Prepared in cooperation with the State of Hawai‘i Commission on Water Resource Management and in collaboration with the University of Hawai‘i Water Resources Research Center","usgsCitation":"Cheng, C.L., Izuka, S.K., Kennedy, J.J., Frazier, A.G., and Giambelluca, T.W., 2021, Water-resource management monitoring needs, State of Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2020-5115, 114 p., https://doi.org/10.3133/sir20205115.","productDescription":"xviii, 114 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 \"}}]}","contact":"<p><a href=\"mailto:dc_hi@usgs.gov\" data-mce-href=\"mailto:dc_hi@usgs.gov\">Director</a>,<br><a href=\"https://www.usgs.gov/piwsc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/piwsc\">Pacific Islands Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov\" href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>Inouye Regional Center<br>1845 Wasp Blvd., B176<br>Honolulu, HI 96818</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Setting</li><li>Approach</li><li>Rainfall</li><li>Surface Water</li><li>Groundwater</li><li>Data-Quality Objectives</li><li>Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheng, Chui Ling 0000-0003-2396-2571 ccheng@usgs.gov","orcid":"https://orcid.org/0000-0003-2396-2571","contributorId":3926,"corporation":false,"usgs":true,"family":"Cheng","given":"Chui","email":"ccheng@usgs.gov","middleInitial":"Ling","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Joseph 0000-0002-6608-2366","orcid":"https://orcid.org/0000-0002-6608-2366","contributorId":203317,"corporation":false,"usgs":true,"family":"Kennedy","given":"Joseph","email":"","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazier, Abby G.","contributorId":221112,"corporation":false,"usgs":false,"family":"Frazier","given":"Abby","email":"","middleInitial":"G.","affiliations":[{"id":40321,"text":"USDA Forest Service, Pacific Southwest Research Station","active":true,"usgs":false}],"preferred":false,"id":807716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giambelluca, Thomas W.","contributorId":70069,"corporation":false,"usgs":true,"family":"Giambelluca","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":807717,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217133,"text":"pp1867F - 2021 - Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi","interactions":[{"subject":{"id":70217133,"text":"pp1867F - 2021 - Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi","indexId":"pp1867F","publicationYear":"2021","noYear":false,"chapter":"F","displayTitle":"Groundwater Dynamics at Kīlauea Volcano and Vicinity, Hawaiʻi","title":"Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":1}],"isPartOf":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"lastModifiedDate":"2024-06-26T15:53:56.65233","indexId":"pp1867F","displayToPublicDate":"2021-01-07T10:14:59","publicationYear":"2021","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":"1867","chapter":"F","displayTitle":"Groundwater Dynamics at Kīlauea Volcano and Vicinity, Hawaiʻi","title":"Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi","docAbstract":"<p>Kīlauea Volcano, on the Island of Hawaiʻi, is surrounded and permeated by active groundwater systems that interact dynamically with the volcanic system. A generalized conceptual model of Hawaiian hydrogeology includes high-level dike-impounded groundwater, very permeable perched and basal aquifers, and a transition (mixing) zone between freshwater and saltwater. Most high-level groundwater is associated with the low-permeability intrusive complexes that underlie volcanic rift zones and calderas and also act to compartmentalize the groundwater system. Hydrogeologic studies of Kīlauea in recent decades, accompanied by deep research drilling, have shown that high-level groundwater is more widespread than once understood, that permeability decreases dramatically at depth, particularly in rift zones, and that freshwater can occur at depths of as much as several kilometers below the local water table. Copious groundwater recharge causes near-surface conductive heat flow to be near zero over much of Kīlauea. Approximately 95 percent of groundwater discharge occurs offshore, accompanied by approximately 99 percent of the approximately 6,000 megawatts of heat supplied by magmatic intrusion. Here, we summarize current understanding of the groundwater system of Kīlauea Volcano and describe transient changes during the decade or more preceding the 2018 eruption sequence. The changes in groundwater chemistry and thermal structure beneath Kīlauea summit hold implications for volcanic-volatile transport and the potential for explosive volcanism. Between 2008 and 2018, the magma conduit beneath the lava lake likely created an adjacent zone of very hot rock that significantly delayed liquid groundwater inflow to the draining magma conduit. Sulfate concentrations in groundwater beneath Kīlauea summit, sampled at the National Science Foundation-funded drill hole 1.5 kilometers south-southwest of the lava lake, declined substantially between 2010 and present. This decline likely reflects, at least in part, the decreased effectiveness of volatile condensation and solution into groundwater (scrubbing). The vent opening in 2008 presumably focused volatile flux into the vicinity of the vent, and progressive drying of the surroundings further restricted interaction with the groundwater system. The decrease in sulfate concentrations in the drill hole between 2010 and 2018 likely reflects decreased effectiveness of scrubbing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867F","usgsCitation":"Hurwitz, S., Peek, S.E., Scholl, M.A., Bergfeld, D., Evans, W.C., Kauahikaua, J.P., Gingerich, S.B., Hsieh, P.A., Lee, R.L., Younger, E.F., and Ingebritsen, S.E., 2021, Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi, chap. F <em>of</em> Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawaiʻi: U.S. Geological Survey Professional Paper 1867, 28 p., https://doi.org/10.3133/pp1867F.","productDescription":"Report: v, 28 p.; Data Release","numberOfPages":"28","ipdsId":"IP-113974","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381967,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UCGT2F","linkHelpText":"Water level, temperature, and chemistry in a deep well on the summit of Kīlauea Volcano, Hawaiʻi"},{"id":381966,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/f/pp1867f.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":381965,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/f/covrthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.68176269531253,\n              18.880300444535045\n            ],\n            [\n              -154.7918701171875,\n              18.880300444535045\n            ],\n            [\n              -154.7918701171875,\n              19.6348270888747\n            ],\n            [\n              -155.68176269531253,\n              19.6348270888747\n            ],\n            [\n              -155.68176269531253,\n              18.880300444535045\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:askHVO@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:askHVO@usgs.gov\">Contact HVO</a><br><a href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\">Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>1266 Kamehameha Avenue<br>Suite A-8<br>Hilo, HI 96720</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeologic Framework of the Groundwater System</li><li>Groundwater Chemistry</li><li>Signatures and Impact of Volcano-Groundwater Interaction in Recent Decades</li><li>Discussion and Open Questions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807709,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807710,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807711,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":807712,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":807698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peek, Sara E. 0000-0002-9770-6557 speek@usgs.gov","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":5341,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","email":"speek@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":807699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":807700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergfeld, Deborah 0000-0003-4570-7627 dbergfel@usgs.gov","orcid":"https://orcid.org/0000-0003-4570-7627","contributorId":152531,"corporation":false,"usgs":true,"family":"Bergfeld","given":"Deborah","email":"dbergfel@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true}],"preferred":true,"id":807705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lee, R. Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Younger, Edward F. 0000-0002-1493-3069","orcid":"https://orcid.org/0000-0002-1493-3069","contributorId":215132,"corporation":false,"usgs":true,"family":"Younger","given":"Edward","email":"","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807707,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807708,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","interactions":[{"subject":{"id":70217131,"text":"pp1867A - 2021 - Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights","indexId":"pp1867A","publicationYear":"2021","noYear":false,"chapter":"A","displayTitle":"Kīlauea’s 2008–2018 Summit Lava Lake—Chronology and Eruption Insights","title":"Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":1},{"subject":{"id":70217132,"text":"pp1867B - 2021 - Views of a century of activity at Kīlauea Caldera—A visual essay","indexId":"pp1867B","publicationYear":"2021","noYear":false,"chapter":"B","displayTitle":"Views of a Century of Activity at Kīlauea Caldera—A Visual Essay","title":"Views of a century of activity at Kīlauea Caldera—A visual essay"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":2},{"subject":{"id":70217133,"text":"pp1867F - 2021 - Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi","indexId":"pp1867F","publicationYear":"2021","noYear":false,"chapter":"F","displayTitle":"Groundwater Dynamics at Kīlauea Volcano and Vicinity, Hawaiʻi","title":"Groundwater dynamics at Kīlauea Volcano and vicinity, Hawaiʻi"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":3},{"subject":{"id":70218198,"text":"pp1867E - 2021 - Patterns of bubble bursting and weak explosive activity in an active lava lake—Halema‘uma‘u, Kīlauea, 2015","indexId":"pp1867E","publicationYear":"2021","noYear":false,"chapter":"E","displayTitle":"Patterns of Bubble Bursting and Weak Explosive Activity in an Active Lava Lake—Halema‘uma‘u, Kīlauea, 2015","title":"Patterns of bubble bursting and weak explosive activity in an active lava lake—Halema‘uma‘u, Kīlauea, 2015"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":4},{"subject":{"id":70225534,"text":"pp1867G - 2021 - A decade of geodetic change at Kīlauea’s summit—Observations, interpretations, and unanswered questions from studies of the 2008–2018 Halemaʻumaʻu eruption","indexId":"pp1867G","publicationYear":"2021","noYear":false,"chapter":"G","displayTitle":"A Decade of Geodetic Change at Kīlauea’s Summit— Observations, Interpretations, and Unanswered Questions  from Studies of the 2008–2018 Halema‘uma‘u Eruption","title":"A decade of geodetic change at Kīlauea’s summit—Observations, interpretations, and unanswered questions from studies of the 2008–2018 Halemaʻumaʻu eruption"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":5},{"subject":{"id":70226828,"text":"pp1867C - 2021 - Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi","indexId":"pp1867C","publicationYear":"2021","noYear":false,"chapter":"C","displayTitle":"Crater Growth and Lava-Lake Dynamics Revealed Through Multitemporal Terrestrial Lidar Scanning at Kīlauea Volcano, Hawaiʻi","title":"Crater growth and lava-lake dynamics revealed through multitemporal terrestrial lidar scanning at Kīlauea Volcano, Hawaiʻi"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":6}],"lastModifiedDate":"2021-01-15T01:44:44.053426","indexId":"pp1867","displayToPublicDate":"2021-01-07T10:06:28","publicationYear":"2021","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":"1867","displayTitle":"The 2008–2018 Summit Lava Lake at Kīlauea Volcano, Hawai‘i","title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","docAbstract":"<p>The 2008–2018 lava lake at the summit of Kīlauea marked the longest sustained period of lava lake activity at the summit in decades and provided a new opportunity for observing and understanding lava lake behavior. The individual chapters of this Professional Paper volume cover the basic chronology of the eruption, rich historical background, observations and measurements of lake activity, hydrological setting, as well as geophysical and other monitoring data that tracked the activity. &nbsp;</p><p>The primary focus of this Professional Paper is the 2008–2018 lava lake activity, ending with the draining of the lake in May 2018. The 2018 summit collapse events that followed the lake draining, and which dramatically altered the topography of the summit region, are published elsewhere. &nbsp;</p><p>As this volume was published online in January 2021, a new lava lake had just formed in Halemaʻumaʻu. &nbsp;This new activity is further testament to the dynamic nature of Halemaʻumaʻu and the proclivity for lava lake activity at the summit of Kīlauea. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867","usgsCitation":"Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Professional Paper 1867, variously paged, https://doi.org/10.3133/pp1867.","productDescription":"Multi-Chaptered report","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":382006,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/a/covrthb.jpg"}],"contact":"<p><a href=\"mailto:askHVO@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:askHVO@usgs.gov\">Contact HVO</a><br><a href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\">Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>1266 Kamehameha Avenue<br>Suite A-8<br>Hilo, HI 96720</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807676,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807677,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807678,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":807679,"contributorType":{"id":2,"text":"Editors"},"rank":4}]}}
,{"id":70217132,"text":"pp1867B - 2021 - Views of a century of activity at Kīlauea Caldera—A visual essay","interactions":[{"subject":{"id":70217132,"text":"pp1867B - 2021 - Views of a century of activity at Kīlauea Caldera—A visual essay","indexId":"pp1867B","publicationYear":"2021","noYear":false,"chapter":"B","displayTitle":"Views of a Century of Activity at Kīlauea Caldera—A Visual Essay","title":"Views of a century of activity at Kīlauea Caldera—A visual essay"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":1}],"isPartOf":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"lastModifiedDate":"2024-06-26T15:56:07.263689","indexId":"pp1867B","displayToPublicDate":"2021-01-07T10:06:03","publicationYear":"2021","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":"1867","chapter":"B","displayTitle":"Views of a Century of Activity at Kīlauea Caldera—A Visual Essay","title":"Views of a century of activity at Kīlauea Caldera—A visual essay","docAbstract":"<p>The 2018 eruption of Kīlauea Volcano marked the end of the first sustained period of volcanic activity at Halemaʻumaʻu Crater in 94 years. The views of the lava lake (informally named “Overlook,” nestled within Halemaʻumaʻu) lasted for a decade and seemed timeless. But as we were recently reminded, the summit of Kīlauea is part of a dynamic system that has provided countless new views to observers over the centuries.</p><p>This visual essay features a few of the many scenes recorded by early observers at the volcano, from the first visits by westerners in 1823 through the explosive eruption of 1924. The early images left by casual visitors, artists, and photographers raise many questions: What is shown? Where is this? Who captured the scene and when? How accurate is the portrayal? Where possible, we attempt to answer these questions and provide interpretations of the images featured.</p><p>In 1912, the nature of observations at Kīlauea changed when Thomas A. Jaggar, Jr., and others occupied the Hawaiian Volcano Observatory on a full-time basis. They began a visual and written record of what they saw, heard, and experienced that has continued to this day. We describe some of the early work of these scientists and photographers, and showcase the results.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867B","usgsCitation":"Gaddis, B., and Kauahikaua, J., 2021, Views of a century of activity at Kīlauea Caldera—A visual essay, chap. B <em>of</em> Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Professional Paper 1867, 23 p., https://doi.org/10.3133/pp1867B.","productDescription":"iv, 23 p.","numberOfPages":"23","ipdsId":"IP-111617","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381961,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/b/pp1867b.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1867 Chapter B"},{"id":381960,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/b/covrthb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.32539367675778,\n              19.378522756179393\n            ],\n            [\n              -155.21072387695312,\n              19.378522756179393\n            ],\n            [\n              -155.21072387695312,\n              19.456233596018\n            ],\n            [\n              -155.32539367675778,\n              19.456233596018\n            ],\n            [\n              -155.32539367675778,\n              19.378522756179393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:askHVO@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:askHVO@usgs.gov\">Contact HVO</a><br><a href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\">Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>1266 Kamehameha Avenue<br>Suite A-8<br>Hilo, HI 96720</p>","tableOfContents":"<ul><li>Abstract</li><li>Early Views of Kīlauea Crater</li><li>The Halema‘uma‘u Cluster</li><li>Observations by Members of the Hawaiian Volcano Observatory</li><li>The Explosive End of an Era</li><li>Conclusion</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Figure Commentary</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807694,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807695,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807696,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":807697,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Gaddis, Ben 0000-0001-7280-353X","orcid":"https://orcid.org/0000-0001-7280-353X","contributorId":203453,"corporation":false,"usgs":true,"family":"Gaddis","given":"Ben","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauahikaua, James P. 0000-0003-3777-503X jimk@usgs.gov","orcid":"https://orcid.org/0000-0003-3777-503X","contributorId":2146,"corporation":false,"usgs":true,"family":"Kauahikaua","given":"James","email":"jimk@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807693,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217131,"text":"pp1867A - 2021 - Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights","interactions":[{"subject":{"id":70217131,"text":"pp1867A - 2021 - Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights","indexId":"pp1867A","publicationYear":"2021","noYear":false,"chapter":"A","displayTitle":"Kīlauea’s 2008–2018 Summit Lava Lake—Chronology and Eruption Insights","title":"Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights"},"predicate":"IS_PART_OF","object":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"id":1}],"isPartOf":{"id":70217129,"text":"pp1867 - 2021 - The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i","indexId":"pp1867","publicationYear":"2021","noYear":false,"title":"The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i"},"lastModifiedDate":"2024-06-18T18:48:04.144671","indexId":"pp1867A","displayToPublicDate":"2021-01-07T09:56:11","publicationYear":"2021","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":"1867","chapter":"A","displayTitle":"Kīlauea’s 2008–2018 Summit Lava Lake—Chronology and Eruption Insights","title":"Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights","docAbstract":"<p>The first eruption at Kīlauea’s summit in 25 years began on March 19, 2008, and persisted for 10 years. The onset of the eruption marked the first explosive activity at the summit since 1924, forming the new “Overlook crater” (as the 2008 summit eruption crater has been informally named) within the existing crater of Halemaʻumaʻu. The first year consisted of sporadic lava activity deep within the Overlook crater. Occasional small explosions deposited spatter and small wall-rock lithic pieces around the Halemaʻumaʻu rim. After a month-long pause at the end of 2008, deep sporadic lava lake activity returned in 2009. Continuous lava lake activity began in February 2010. The lake rose significantly in late 2010 and early 2011, before subsequently draining briefly in March 2011. This disruption of the summit eruption was triggered by eruptive activity on the East Rift Zone. Rising lake levels through 2012 established a more stable, larger lake in 2013, with continued enlargement over the subsequent 5 years. Lava reached the Overlook crater rim and overflowed on the Halemaʻumaʻu floor in brief episodes in 2015, 2016, and 2018, but the lake level was more commonly 20–60 meters below the rim during 2014–18. The lake was approximately 280×200 meters (~42,000 square meters) by early 2018 and formed one of the two largest lava lakes on Earth.</p><p>A new eruption began in the lower East Rift Zone on May 3, 2018, causing magma to drain from the summit reservoir complex. The lava in Halemaʻumaʻu had drained below the crater floor by May 10, followed by collapse of the Overlook and Halemaʻumaʻu craters. The collapse region expanded as much of the broader summit caldera floor subsided incrementally during June and July. By early August 2018, the collapse sequence had ended, and the summit was quiet. The historical changes in May–August 2018 brought a dramatic end to the decade of sustained activity at Kīlauea’s summit.</p><p>The unique accessibility of the 2008–18 lava lake provided new observations of lava lake behavior and open-vent basaltic outgassing. Data indicated that explosions were triggered by rockfalls from the crater walls, that the lake consisted of a low-density foamy lava, that cycles of gas pistoning were rooted at shallow depths in the lake, and that lake level fluctuations were closely tied to the pressure of the summit magma reservoir. Lava chemistry added further support for an efficient hydraulic connection between the summit and East Rift Zone. Notwithstanding the benefits to scientific understanding, the eruption presented a persistent hazard of volcanic air pollution (vog) that commonly extended far from Kīlauea’s summit.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1867A","usgsCitation":"Patrick, M., Orr, T., Swanson, D., Houghton, B., Wooten, K., Desmither, L., Parcheta, C., and Fee, D., 2021, Kīlauea’s 2008–2018 summit lava lake—Chronology and eruption insights, chap. A <i>of</i> Patrick, M., Orr, T., Swanson, D., and Houghton, B., eds., The 2008–2018 summit lava lake at Kīlauea Volcano, Hawai‘i: U.S. Geological Survey Professional Paper 1867, 50 p., https://doi.org/10.3133/pp1867A.","productDescription":"viii, 50 p.","numberOfPages":"50","onlineOnly":"N","ipdsId":"IP-109081","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":436595,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ULRPMM","text":"USGS data release","linkHelpText":"Elevation of the lava lake in Halemaʻumaʻu crater, Kīlauea Volcano, from 2009 to 2018"},{"id":436594,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ULRPMM","text":"USGS data release","linkHelpText":"Elevation of the lava lake in Halemaʻumaʻu crater, Kīlauea Volcano, from 2009 to 2018"},{"id":381957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1867/a/covrthb.jpg"},{"id":381958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1867/a/pp1867a.pdf","text":"Report","size":"32 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1867 Chapter A"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.32539367675778,\n              19.378522756179393\n            ],\n            [\n              -155.21072387695312,\n              19.378522756179393\n            ],\n            [\n              -155.21072387695312,\n              19.456233596018\n            ],\n            [\n              -155.32539367675778,\n              19.456233596018\n            ],\n            [\n              -155.32539367675778,\n              19.378522756179393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:askHVO@usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"mailto:askHVO@usgs.gov\">Contact HVO</a><br><a href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/observatories/hawaiian-volcano-observatory\">Hawaiian Volcano Observatory</a><br><a href=\"https://www.usgs.gov\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov\">U.S. Geological Survey</a><br>1266 Kamehameha Avenue<br>Suite A-8<br>Hilo, HI 96720</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background</li><li>Precursory Activity</li><li>Chronology of the Eruption</li><li>Notable Aspects of the Eruption</li><li>Hazards</li><li>Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-01-07","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"editors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807688,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807689,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807690,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":807691,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Don 0000-0002-1680-3591 donswan@usgs.gov","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":168817,"corporation":false,"usgs":true,"family":"Swanson","given":"Don","email":"donswan@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":807683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wooten, Kelly M.","contributorId":76838,"corporation":false,"usgs":true,"family":"Wooten","given":"Kelly M.","affiliations":[],"preferred":false,"id":807684,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Desmither, Liliana G. 0000-0002-2422-3490","orcid":"https://orcid.org/0000-0002-2422-3490","contributorId":215610,"corporation":false,"usgs":true,"family":"Desmither","given":"Liliana","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807685,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807686,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fee, David","contributorId":77761,"corporation":false,"usgs":true,"family":"Fee","given":"David","affiliations":[],"preferred":false,"id":807687,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217185,"text":"70217185 - 2021 - LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization","interactions":[],"lastModifiedDate":"2021-08-03T13:26:57.546655","indexId":"70217185","displayToPublicDate":"2021-01-07T09:20:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization","docAbstract":"<p><span>U-Pb dating of cassiterite and zircon from the Yazov granite (Transbaikalia region, Eastern Siberia, Russia) and cassiterite from spatially associated tin mineralization in the Tuyukan ore district in the Tonod uplift was conducted using in situ laser ablation inductively coupled plasma mass spectrometry. These analyses allow comparison of isotopic systematics for both minerals, especially related to transport in granitic magma. These data are also useful for understanding possible genetic links between the granite and the tin mineralization. Most of the U-Pb zircon analyses define a&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U age of 719 ± 15&nbsp;Ma for the granite; in addition, several zircon cores define an inheritance age of 1839 ± 21&nbsp;Ma. U-Pb data for 10 nearly concordant analyses of disseminated cassiterite from the same samples yield a&nbsp;</span><sup>206</sup><span>Pb/</span><sup>238</sup><span>U age of 1838 ± 34&nbsp;Ma. This is the first documented evidence of cassiterite inheritance in granitic magma. These data indicate the robust character of U-Pb isotope systematics in cassiterite, comparable to that in zircon. The presence of numerous inclusions of cassiterite in zircon from the Yazov granite (revealed by nanotomography) supports the interpretation of inherited cassiterite included during Neoproterozoic zircon crystallization. The data indicate that high tin concentrations in the Yazov granite are due to the incorporation of older cassiterite crystals from country rock, not coeval cassiterite crystallization. Cassiterite samples from two ore occurrences spatially associated with the Yazov granite yield Pb-Pb isochron ages of 1.86–1.82&nbsp;Ga, indicating that tin mineralization occurred in the Paleoproterozoic, nearly 1&nbsp;Ga before emplacement of the Yazov granite. Tin mineralization of the ore region is probably related to ~ 1.85&nbsp;Ga Chuya-Kodar tin-bearing granitic rocks that host tin deposits. These results have broad implications for understanding how critical elements, such as tin, may become enriched in rare-metal granites and how they are related to regional to global geodynamic processes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-020-01038-9","usgsCitation":"Neymark, L., Holm-Denoma, C.S., Larin, A., Moscati, R.J., and Plotkina, Y., 2021, LA-ICPMS U-Pb dating reveals cassiterite inheritance in the Yazov granite, Eastern Siberia: Implications for tin mineralization: Mineralium Deposita, v. 56, p. 1177-1194, https://doi.org/10.1007/s00126-020-01038-9.","productDescription":"18 p.","startPage":"1177","endPage":"1194","ipdsId":"IP-117908","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":436597,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in &quot;Tin Granites&quot;, an example from the Yazov Granite, Eastern Siberia"},{"id":436596,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97WPI1T","text":"USGS data release","linkHelpText":"U-Pb data for inherited cassiterite in &quot;Tin Granites&quot;, an example from the Yazov Granite, Eastern Siberia"},{"id":382056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","state":"Siberia","otherGeospatial":"Baikal region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              104.4140625,\n              57.20771009775018\n            ],\n            [\n              120.2783203125,\n              57.20771009775018\n            ],\n            [\n              120.2783203125,\n              62.1655019058381\n            ],\n            [\n              104.4140625,\n              62.1655019058381\n            ],\n            [\n              104.4140625,\n              57.20771009775018\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":807885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holm-Denoma, Christopher S. 0000-0003-3229-5440 cholm-denoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3229-5440","contributorId":2442,"corporation":false,"usgs":true,"family":"Holm-Denoma","given":"Christopher","email":"cholm-denoma@usgs.gov","middleInitial":"S.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larin, Anatoly","contributorId":247545,"corporation":false,"usgs":false,"family":"Larin","given":"Anatoly","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moscati, Richard J. 0000-0002-0818-4401 rmoscati@usgs.gov","orcid":"https://orcid.org/0000-0002-0818-4401","contributorId":2462,"corporation":false,"usgs":true,"family":"Moscati","given":"Richard","email":"rmoscati@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":807888,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Plotkina, Yulia","contributorId":247546,"corporation":false,"usgs":false,"family":"Plotkina","given":"Yulia","email":"","affiliations":[{"id":49576,"text":"IPGG","active":true,"usgs":false}],"preferred":false,"id":807889,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237935,"text":"70237935 - 2021 - The river corridor’s evolving connectivity of lotic and lentic waters","interactions":[],"lastModifiedDate":"2022-11-01T14:17:55.41193","indexId":"70237935","displayToPublicDate":"2021-01-07T09:09:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"The river corridor’s evolving connectivity of lotic and lentic waters","docAbstract":"<p><span>River corridors supply a substantial proportion of the fresh water for societal and ecological needs. Individual functions of flowing (lotic) streams and rivers and ponded (lentic) waterbodies such as lakes and reservoirs are well-studied, but their collective functions are not as well understood. Here we bring together nationally consistent river corridor datasets to characterize the contributions of lotic and lentic features and to estimate changes over the past centuries. High-resolution datasets describing waterbodies across 10 million kilometers of the conterminous U.S. (CONUS) river network were classified by waterbody type and origin (historic vs. human-made or intensively managed), surface areal coverage, and degree of connectivity as estimated by a change in water residence timescale in river corridors. Four centuries of human disturbance drove large swings in river corridor makeup, with a transition toward more lotic systems caused by beaver extirpation and abandonment of waterwheel mill ponds by end of the nineteenth century. The twentieth century saw a vast expansion (49%) in river corridor areal coverage resulting from construction and management of small ponds and reservoirs for drinking water, hydropower, irrigation and livestock watering, and stormwater control. Water residence timescale in river corridors doubled or quadrupled over large areas, and more in specific locations, during the twentieth century as a result of the increased coverage of reservoirs and managed small ponds. Although reservoirs and lakes now dominate river corridor surface areas, we found that the growing number of small ponds impacts a greater proportion of network length through their influence on headwater streams where most water and chemical runoff enters the river corridor. We close with an agenda for integrated modeling of the physical, biogeochemical, and ecological drivers of river corridor functions, trajectories of change, and management opportunities.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2020.580727","usgsCitation":"Harvey, J., and Schmadel, N., 2021, The river corridor’s evolving connectivity of lotic and lentic waters: Frontiers in Water, v. 2, 580727, 17 p., https://doi.org/10.3389/frwa.2020.580727.","productDescription":"580727, 17 p.","ipdsId":"IP-123211","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453905,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2020.580727","text":"Publisher Index Page"},{"id":436599,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TCH5J7","text":"USGS data release","linkHelpText":"NHD-RC: Extension of NHDPlus Version 2.1 with high-resolution river corridor attributes"},{"id":436598,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TCH5J7","text":"USGS data release","linkHelpText":"NHD-RC: Extension of NHDPlus Version 2.1 with high-resolution river corridor attributes"},{"id":408988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n            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   49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219104,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856271,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":856272,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70238836,"text":"70238836 - 2021 - Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","interactions":[],"lastModifiedDate":"2022-12-14T15:25:50.400448","indexId":"70238836","displayToPublicDate":"2021-01-07T09:05:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":664,"text":"Advances in Water Resources","active":true,"publicationSubtype":{"id":10}},"title":"Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach","docAbstract":"<p><span>Freezing of unsaturated soil is an important process that influences runoff and infiltration in cold-climate regions. We used a simple numerical model to simulate water and heat transport with phase change in unsaturated soil via three different approaches: empirical, semi-empirical and physically based. We compared the performance and parameterization of each approach through testing on three experimental datasets. All approaches reproduced the observed unsaturated freezing process satisfactorily. The empirical cryosuction equation used in this study managed to capture observed cryosuction with a fixed empirical parameter value. The semi-empirical version therefore does not require calibration of a specific frozen soil related parameter. In view of simplicity, small computational demand and accurate performance, all three approaches are suitable for implementation in land-use schemes, catchment scale hydrological models, or multi-dimensional thermo-hydrological models.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.advwatres.2021.103846","usgsCitation":"Stuurop, J.C., van der Zee, S.E., Voss, C., and French, H.K., 2021, Simulating water and heat transport with freezing and cryosuction in unsaturated soil: Comparing an empirical, semi-empirical and physically-based approach: Advances in Water Resources, v. 149, 103846, 16 p., https://doi.org/10.1016/j.advwatres.2021.103846.","productDescription":"103846, 16 p.","ipdsId":"IP-125325","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.advwatres.2021.103846","text":"Publisher Index Page"},{"id":410474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stuurop, Joris C","contributorId":299855,"corporation":false,"usgs":false,"family":"Stuurop","given":"Joris","email":"","middleInitial":"C","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858860,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van der Zee, Sjoerd E. A. T. M","contributorId":299856,"corporation":false,"usgs":false,"family":"van der Zee","given":"Sjoerd","email":"","middleInitial":"E. A. T. M","affiliations":[{"id":64966,"text":"Wageningen University, Monash University","active":true,"usgs":false}],"preferred":false,"id":858861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":211844,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":858862,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, Helen K","contributorId":299857,"corporation":false,"usgs":false,"family":"French","given":"Helen","email":"","middleInitial":"K","affiliations":[{"id":40295,"text":"Norwegian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":858863,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227088,"text":"70227088 - 2021 - Spatial behavior of northern flying squirrels in the same social network","interactions":[],"lastModifiedDate":"2021-12-29T14:55:12.724313","indexId":"70227088","displayToPublicDate":"2021-01-07T08:53:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1589,"text":"Ethology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial behavior of northern flying squirrels in the same social network","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>North American flying squirrels (<i>Glaucomys</i><span>&nbsp;</span>spp.) are social species that communally den and exhibit home range overlap. However, observations on home range overlap tend to come from live-trapped individuals and it is unknown whether overlap occurs among individuals belonging to the same social network. Since flying squirrels communally den with familiar individuals, their use of artificial nest boxes allows for the radio-collaring and tracking of squirrels within the same social network. We captured and radio-collared northern flying squirrels (<i>G.&nbsp;sabrinus</i><span>&nbsp;</span>Shaw) found communally denning in nest boxes in the Appalachian Mountains in the eastern United States. We tracked squirrels captured from the same nest box (i.e., nest box groups) to determine home range overlap and subsequent den sharing between familiar individuals within those nest box groups. We found that amount of home range overlap did not differ between male–male, male–female, and female–female dyads, indicating that non-reproductive females and scrotal males are not territorial at the 95% or 50% home range level. Regardless of sex, all dyads had a significantly higher probability of home range overlap (PHR) at the 95% than the 50% home range level (i.e., overlap between squirrels decreases in core areas of their home range). We also found flying squirrels subsequently denned with familiar individuals during 20.9% of occasions post-collaring. Our study provides important information for understanding space use within flying squirrel social networks. Further work should be conducted to determine space use between familiar individuals including seasonal shifts in space use, degree of individual relatedness, and potential territoriality in females denning with young up to and following juvenile dispersal.</p></div></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/eth.13130","usgsCitation":"Diggins, C., and Ford, W., 2021, Spatial behavior of northern flying squirrels in the same social network: Ethology, v. 127, no. 5, p. 424-432, https://doi.org/10.1111/eth.13130.","productDescription":"9 p.","startPage":"424","endPage":"432","ipdsId":"IP-123140","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":453910,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/eth.13130","text":"External Repository"},{"id":393581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":270602,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829606,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70217285,"text":"70217285 - 2021 - Editorial: Flooding on coral reef-lined coasts: Current state of knowledge and future challenges","interactions":[],"lastModifiedDate":"2021-01-18T14:05:22.221119","indexId":"70217285","displayToPublicDate":"2021-01-07T08:04:08","publicationYear":"2021","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":"Editorial: Flooding on coral reef-lined coasts: Current state of knowledge and future challenges","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.635240","usgsCitation":"Skirving, W., Pomeroy, A., McCall, R.T., Marra, J., and Storlazzi, C.D., 2021, Editorial: Flooding on coral reef-lined coasts: Current state of knowledge and future challenges: Frontiers in Marine Science, v. 7, 635240, 2 p., https://doi.org/10.3389/fmars.2020.635240.","productDescription":"635240, 2 p.","ipdsId":"IP-124116","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":453913,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.635240","text":"Publisher Index Page"},{"id":382261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Skirving, William","contributorId":224303,"corporation":false,"usgs":false,"family":"Skirving","given":"William","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":808282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pomeroy, Andrew","contributorId":182033,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Andrew","affiliations":[],"preferred":false,"id":808283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":808284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marra, John ","contributorId":221119,"corporation":false,"usgs":false,"family":"Marra","given":"John ","affiliations":[{"id":40326,"text":"NOAA, National Environmental Satellite, Data, and Information Service","active":true,"usgs":false}],"preferred":false,"id":808285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":808286,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217167,"text":"70217167 - 2021 - Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","interactions":[],"lastModifiedDate":"2021-01-08T14:26:54.919518","indexId":"70217167","displayToPublicDate":"2021-01-07T07:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5813,"text":"Microbiology Resource Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA","docAbstract":"<div id=\"abstract-2\" class=\"section abstract\" data-gtm-vis-recent-on-screen-6041348_20=\"1524\" data-gtm-vis-first-on-screen-6041348_20=\"1524\" data-gtm-vis-total-visible-time-6041348_20=\"100\" data-gtm-vis-has-fired-6041348_20=\"1\"><p id=\"p-4\">We sequenced the coding-complete genome of an avian orthoavulavirus serotype 16 (AOAV-16) isolate recovered from emperor goose (<span id=\"named-content-3\" class=\"named-content genus-species\">Anser canagicus</span>) feces collected in Alaska. The detection of AOAV-16 in North America and genomic sequencing of the resultant isolate confirms that the geographic distribution of this virus extends beyond Asia.</p></div><div id=\"sec-1\" class=\"section\" data-gtm-vis-recent-on-screen-6041348_20=\"11570\" data-gtm-vis-first-on-screen-6041348_20=\"11570\" data-gtm-vis-total-visible-time-6041348_20=\"100\" data-gtm-vis-has-fired-6041348_20=\"1\"><br></div>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/MRA.01275-20","usgsCitation":"Reeves, A.B., Killian, M.L., Tanner, M.E., Lagasse, B.J., Ramey, A.M., Stallknecht, D., and Poulson, R., 2021, Coding-Complete Genome Sequence of Avian Orthoavulavirus 16, isolated from Emperor Goose (Anser canagica) feces, Alaska, USA: Microbiology Resource Announcements, v. 10, no. 1, e01275-20, 4 p., https://doi.org/10.1128/MRA.01275-20.","productDescription":"e01275-20, 4 p.","ipdsId":"IP-122983","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":453916,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/mra.01275-20","text":"Publisher Index Page"},{"id":382020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":807802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":807803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tanner, Michael E","contributorId":247508,"corporation":false,"usgs":false,"family":"Tanner","given":"Michael","email":"","middleInitial":"E","affiliations":[{"id":49561,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, Georgia 30602, USA","active":true,"usgs":false}],"preferred":false,"id":807804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lagasse, Benjamin Joel 0000-0003-2565-5284","orcid":"https://orcid.org/0000-0003-2565-5284","contributorId":247509,"corporation":false,"usgs":true,"family":"Lagasse","given":"Benjamin","email":"","middleInitial":"Joel","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":807805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":807806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":807807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":807808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217200,"text":"70217200 - 2021 - Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range","interactions":[],"lastModifiedDate":"2021-05-13T15:55:57.045834","indexId":"70217200","displayToPublicDate":"2021-01-07T07:11:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Seven days of extreme rainfall during September 2013 produced more than 1100 debris flows in the Colorado Front Range, about 78% of which occurred on south-facing slopes (SFS). Previously published soil moisture (volumetric water content) observations suggest that SFS were wetter than north-facing slopes (NFS) during the event, which contrasts with soil moisture patterns observed during normal conditions. Various causes have been hypothesized for the preferential saturation of SFS, but those hypotheses remain largely untested. Here, we analyze the soil moisture patterns using additional soil moisture observations, determine the hydrologic processes controlling the preferential saturation of SFS, and evaluate the importance of soil moisture in predicting the debris flow initiation sites. Soil moisture patterns are simulated using the Equilibrium Moisture from Topography, Vegetation, and Soil (EMT + VS) model. Five hypotheses are tested that may have influenced the soil moisture reversal including higher rainfall rates, lower interception rates, lower saturated water content, thinner soils, and reduced deep drainage on SFS. The EMT + VS model is coupled with an infinite slope stability model to produce factor of safety maps. The hypotheses are tested by comparing the modeled soil moisture to soil moisture observations and the debris flow initiation sites. The results suggest that differences in interception and deep drainage between SFS and NFS were primarily responsible for producing wetter SFS, but the soil moisture pattern likely played a smaller role than vegetation and slope in determining where debris flows initiated. The final model predicts instability at approximately 72% of the observed debris flow initiation sites.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10346-020-01582-5","usgsCitation":"Timilsina, S., Niemann, J.D., Rathburn, S.L., Rengers, F.K., and Nelson, P.A., 2021, Modeling hydrologic processes associated with soil saturation and debris flow initiation during the September 2013 storm, Colorado Front Range: Landslides, v. 18, p. 1741-1759, https://doi.org/10.1007/s10346-020-01582-5.","productDescription":"19 p.","startPage":"1741","endPage":"1759","ipdsId":"IP-122076","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":467260,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/10217/197344","text":"External Repository"},{"id":382086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Colorado","city":"Ft. Collins, Boulder","otherGeospatial":"Boulder River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.72143554687499,\n              39.90973623453719\n            ],\n            [\n              -104.8974609375,\n              39.90973623453719\n            ],\n            [\n              -104.8974609375,\n              40.66397287638688\n            ],\n            [\n              -105.72143554687499,\n              40.66397287638688\n            ],\n            [\n              -105.72143554687499,\n              39.90973623453719\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Timilsina, Sujana","contributorId":247584,"corporation":false,"usgs":false,"family":"Timilsina","given":"Sujana","email":"","affiliations":[{"id":49584,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, USA","active":true,"usgs":false}],"preferred":false,"id":807962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemann, Jeffrey D. 0000-0002-2988-0879","orcid":"https://orcid.org/0000-0002-2988-0879","contributorId":247585,"corporation":false,"usgs":false,"family":"Niemann","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":49584,"text":"Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, USA","active":true,"usgs":false}],"preferred":false,"id":807963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":807964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":807965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Peter A.","contributorId":195598,"corporation":false,"usgs":false,"family":"Nelson","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":807966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217190,"text":"70217190 - 2021 - Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints","interactions":[],"lastModifiedDate":"2021-10-18T14:00:27.693586","indexId":"70217190","displayToPublicDate":"2021-01-07T07:04:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints","docAbstract":"<p><span>The Shalipayco Zn–Pb deposit, in central Peru, is composed of several stratabound orebodies, the largest of which are the Resurgidora and Intermedios, contained in carbonate rocks of the Upper Triassic Chambará Formation, Pucará group. Petrography suggests that a single ore-forming episode formed sphalerite and galena within vugs, open spaces, and fractures. Three-dimensional (3D) geological modeling has allowed division of the Chambará Formation into four members (Chambará I, II, III, and IV) that better define lithological controls on sulfide formation. Diagenetic replacement of evaporite minerals with the organic matter (OM) presence likely generated secondary porosity and H</span><sub>2</sub><span>S accumulation by bacterial sulfate reduction (BSR), providing ground preparation for the later Zn–Pb mineralizing event. The least-altered host rocks have C–O isotope compositions of 1.8 ± 0.1‰ (VPDB) and 29.9 ± 2.1‰ (VSMOW), respectively, within the Triassic marine carbonate ranges. Early dolomite contains lighter C–O composition (1.1 ± 0.9 and 23.8 ± 2.9‰, respectively) consistent with OM decomposition during burial diagenesis. Post-mineralization calcite has still lighter C–O composition (− 5.1 and 13.3‰, respectively), suggesting meteoric water that had migrated through organic-rich strata. The strontium isotopes of Mitu group basalts (0.709654–0.719669) indicate it as a possible, but not the unique source of strontium and probably of other metals. Highly negative sulfide sulfur isotope values (− 23.3 to − 6.2‰ (VCDT)) indicate a major component of the ore sulfur derived ultimately from BSR. However, multiple lines of evidence suggest that preexisting H</span><sub>2</sub><span>S underwent thermochemical redox cycling prior to ore formation. The influx of hot metalliferous brines to dolomitized zones containing trapped H</span><sub>2</sub><span>S is the preferred model for ore deposition at Shalipayco.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-020-01029-w","usgsCitation":"de Oliveira, S.B., Johnson, C.A., Juliani, C., Monteiro, L.V., Leach, D.L., and Caran, M.G., 2021, Geology and genesis of the Shalipayco evaporite-related Mississippi Valley-type Zn–Pb deposit, Central Peru: 3D geological modeling and C–O–S–Sr isotope constraints: Mineralium Deposita, v. 56, p. 1543-1562, https://doi.org/10.1007/s00126-020-01029-w.","productDescription":"20 p.","startPage":"1543","endPage":"1562","ipdsId":"IP-120554","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":382082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.640625,\n              -11.695272733029402\n            ],\n            [\n              -74.267578125,\n              -11.695272733029402\n            ],\n            [\n              -74.267578125,\n              -9.96885060854611\n            ],\n            [\n              -76.640625,\n              -9.96885060854611\n            ],\n            [\n              -76.640625,\n              -11.695272733029402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"56","noUsgsAuthors":false,"publicationDate":"2021-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"de Oliveira, Saulo B 0000-0002-2149-1297","orcid":"https://orcid.org/0000-0002-2149-1297","contributorId":220732,"corporation":false,"usgs":false,"family":"de Oliveira","given":"Saulo","email":"","middleInitial":"B","affiliations":[{"id":40261,"text":"Nexa Resources","active":true,"usgs":false}],"preferred":false,"id":807911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":807912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Juliani, Caetano 0000-0002-0128-993X","orcid":"https://orcid.org/0000-0002-0128-993X","contributorId":220734,"corporation":false,"usgs":false,"family":"Juliani","given":"Caetano","email":"","affiliations":[{"id":40262,"text":"Universidade de Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":807913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monteiro, Lena VS 0000-0003-3999-026X","orcid":"https://orcid.org/0000-0003-3999-026X","contributorId":220735,"corporation":false,"usgs":false,"family":"Monteiro","given":"Lena","email":"","middleInitial":"VS","affiliations":[{"id":40262,"text":"Universidade de Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":807914,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Leach, David L 0000-0001-6487-5584","orcid":"https://orcid.org/0000-0001-6487-5584","contributorId":220733,"corporation":false,"usgs":false,"family":"Leach","given":"David","email":"","middleInitial":"L","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":807915,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caran, Marianna G.N.","contributorId":247563,"corporation":false,"usgs":false,"family":"Caran","given":"Marianna","email":"","middleInitial":"G.N.","affiliations":[{"id":49578,"text":"Universidade de Sao Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":807916,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215502,"text":"70215502 - 2021 - Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions","interactions":[],"lastModifiedDate":"2021-01-22T21:57:13.479498","indexId":"70215502","displayToPublicDate":"2021-01-06T15:49:23","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions","docAbstract":"<p><span>Self-organization is a process of establishing and reinforcing local structures through feedbacks between internal population dynamics and external factors. In reef-building systems, substrate is collectively engineered by individuals that also occupy it and compete for space. Reefs are constrained spatially by the physical environment, and by mortality, which reduces production but exposes substrate for recruits. Reef self-organization therefore depends on efficient balancing of production and occupancy of substrate. To examine this, we develop a three-dimensional individual-based model (IBM) of oyster reef mechanics. Shell substrate is grown by individuals as valves, accumulates at the reef level, and degrades following mortality. Single restoration events and subsequent dynamics are simulated for a case study in South Carolina (USA). Variability in model processes is included on recruitment, spatial environmental constraints, and predation, over multiple independent runs and five predator community scenarios. The main goal for this study is to summarize trends in dynamics that are robust across this uncertainty, and from these generate new hypotheses and predictions for future studies. Simulation results demonstrate three phases following restoration: initial transient dynamics with considerable shell loss, followed by growth and saturation of the live population, and then saturation of settlement habitat several years later. Over half of simulations recoup initial shell losses as populations grow, while others continue in decline. The balance between population density, substrate supporting the reef, and exposed surfaces for settlement is mediated by overall population size and size structure, presence of predators, and relative amounts of live individuals and intact dead shells. The efficiency of settlement substrate production improves through time as population size structure becomes more complex, and the population of dead valves accumulates.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2020.109389","usgsCitation":"Yurek, S., Eaton, M.J., Lavaud, R., Laney, R.W., DeAngelis, D., Pine, W.E., LaPeyre, M.K., Martin, J., Frederick, P., Wang, H., Lowe, M.R., Johnson, F., Camp, E.V., and Mordecai, R., 2021, Modeling structural mechanics of oyster reef self-organization including environmental constraints and community interactions: Ecological Modelling, v. 440, 109389, 15 p., https://doi.org/10.1016/j.ecolmodel.2020.109389.","productDescription":"109389, 15 p.","ipdsId":"IP-113110","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":382524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"440","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216733,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":802527,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lavaud, Romain","contributorId":200114,"corporation":false,"usgs":false,"family":"Lavaud","given":"Romain","email":"","affiliations":[],"preferred":false,"id":802528,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Laney, R. Wilson","contributorId":243552,"corporation":false,"usgs":false,"family":"Laney","given":"R.","email":"","middleInitial":"Wilson","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802529,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802530,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pine, William E. III","contributorId":139959,"corporation":false,"usgs":false,"family":"Pine","given":"William","suffix":"III","email":"","middleInitial":"E.","affiliations":[{"id":13332,"text":"Uni. of Florida Department of Wildlife Ecology and Conservation","active":true,"usgs":false}],"preferred":false,"id":802531,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802532,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802533,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Frederick, Peter C","contributorId":150013,"corporation":false,"usgs":false,"family":"Frederick","given":"Peter C","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":802534,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802535,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":802536,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Fred 0000-0002-5854-3695","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":217602,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802537,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Camp, Edward V.","contributorId":173095,"corporation":false,"usgs":false,"family":"Camp","given":"Edward","email":"","middleInitial":"V.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":802538,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Mordecai, Rua","contributorId":243553,"corporation":false,"usgs":false,"family":"Mordecai","given":"Rua","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":802539,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70228333,"text":"70228333 - 2021 - Movements of selected minnows between the lower Yellowstone River and its tributaries","interactions":[],"lastModifiedDate":"2022-02-09T17:39:26.943825","indexId":"70228333","displayToPublicDate":"2021-01-06T11:31:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Movements of selected minnows between the lower Yellowstone River and its tributaries","docAbstract":"<p>Reduced population connectivity has been implicated as a cause of decreased distributions and abundances of many Great Plains fishes. However, scant empirical evidence quantifying movement and relating the contribution of spatial linkages to population abundances and resilience exists. We used otolith microchemistry analysis to characterize the movements of western silvery minnows (<i>Hybognathus argyritis</i><span>&nbsp;</span>Girard, 1856), flathead chubs (<i>Platygobio gracilis</i><span>&nbsp;</span>(Richardson, 1836)), and sand shiners (<i>Notropis stramineus</i><span>&nbsp;</span>(Cope, 1865)) between the Yellowstone River and its tributaries. Sixty-nine percent of western silvery minnows, 65% of flathead chubs, and 42% of sand shiners moved between the Yellowstone River and tributaries. Mean total number of interchanges was highest among western silvery minnows (4.8 interchanges/mover), intermediate among flathead chubs (4.3&nbsp;interchanges/mover), and lowest among sand shiners (1.4&nbsp;interchanges/mover;<span>&nbsp;</span><i>P</i>&nbsp;&lt; 0.01). Natal movements were rare, but juvenile movements were common and frequent among all three species. Movements between main-stem and tributary habitats are probably prominent facets of the life cycles of other Great Plains minnows. Therefore, connectivity among such habitats should be a high conservation priority to enhance the long-term viability of such fishes.</p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2020-0040","usgsCitation":"Duncan, M.B., Bramblett, R.G., and Zale, A.V., 2021, Movements of selected minnows between the lower Yellowstone River and its tributaries: Canadian Journal of Zoology, v. 99, no. 1, p. 45-56, https://doi.org/10.1139/cjz-2020-0040.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-110520","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains, Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.082763671875,\n              45.00365115687186\n            ],\n            [\n              -111.082763671875,\n              44.972570682240644\n            ],\n            [\n              -111.07177734375,\n              42.98053954751642\n            ],\n            [\n              -104.051513671875,\n              42.96446257387128\n            ],\n            [\n              -104.04052734375,\n              48.23930899024907\n            ],\n            [\n              -111.02783203125,\n              45.96642454131025\n            ],\n            [\n              -111.082763671875,\n              45.00365115687186\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"99","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duncan, Michael B.","contributorId":169856,"corporation":false,"usgs":false,"family":"Duncan","given":"Michael","email":"","middleInitial":"B.","affiliations":[{"id":13655,"text":"Montana State Univ.","active":true,"usgs":false}],"preferred":false,"id":833803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bramblett, Robert G.","contributorId":169857,"corporation":false,"usgs":false,"family":"Bramblett","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":5098,"text":"Department of Ecology, Montana State University","active":true,"usgs":false}],"preferred":false,"id":833802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":244099,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"","middleInitial":"V.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":833804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70218473,"text":"70218473 - 2021 - Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge","interactions":[],"lastModifiedDate":"2021-06-01T17:24:06.048878","indexId":"70218473","displayToPublicDate":"2021-01-06T09:56:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Pathology of mouse (<i>Mus musculus</i>) predation on Laysan albatross (<i>Phoebastria immutabilis</i>) on Midway Atoll National Wildlife Refuge","title":"Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge","docAbstract":"<p><span>Invasive rodents on islands have adverse effects on native birds in island ecosystems, and rats are the most common culprits. Recently, house mice (</span><i>Mus musculus</i><span>) in the South Atlantic were found preying on three species of albatross chicks. Here, we show that house mice can also prey on nesting adult Laysan Albatross (</span><i>Phoebastria immutabilis</i><span>) on Midway Atoll National Wildlife Refuge (US). In contrast to mouse attacks on albatross in the South Atlantic, where mice targeted the rump and crown of chicks, on Midway, mice targeted nesting adults mainly on the back. For both regions, the outcome was similar with reduced nesting success. In the case of Midway, reduced nesting success was due to nest abandonment or mortality of one or both parents because of secondary bacterial infections. Mouse-induced mortality of adult albatross has the potential to have a more potent demographic effect because of their much higher natural survivorship once they reach adulthood.</span></p>","language":"English","publisher":"Wildlife Diseases Association","doi":"10.7589/JWD-D-20-00065","usgsCitation":"Work, T.M., Duhr, M., and Flint, B., 2021, Pathology of mouse (Mus musculus) predation on Laysan albatross (Phoebastria immutabilis) on Midway Atoll National Wildlife Refuge: Journal of Wildlife Diseases, v. 57, no. 17, p. 125-131, https://doi.org/10.7589/JWD-D-20-00065.","productDescription":"7 p.","startPage":"125","endPage":"131","ipdsId":"IP-119739","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":453921,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-20-00065","text":"Publisher Index Page"},{"id":436600,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B34MZK","text":"USGS data release","linkHelpText":"Mouse predation on Laysan albatross"},{"id":383689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Midway Atoll","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              177.35967636108398,\n              28.181283504662975\n            ],\n            [\n              177.39898681640625,\n              28.181283504662975\n            ],\n            [\n              177.39898681640625,\n              28.21320562333516\n            ],\n            [\n              177.35967636108398,\n              28.21320562333516\n            ],\n            [\n              177.35967636108398,\n              28.181283504662975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":811119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duhr, Meg","contributorId":252915,"corporation":false,"usgs":false,"family":"Duhr","given":"Meg","email":"","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":811120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Beth","contributorId":252916,"corporation":false,"usgs":false,"family":"Flint","given":"Beth","email":"","affiliations":[{"id":16956,"text":"US Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":811121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263122,"text":"70263122 - 2021 - Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry","interactions":[],"lastModifiedDate":"2025-01-30T15:22:34.220838","indexId":"70263122","displayToPublicDate":"2021-01-06T09:19:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (<i>Esox masquinongy</i>) to genotyping-by-sequencing chemistry","title":"Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry","docAbstract":"<p><span>Microsatellites have been a staple of population genetics research for over three decades, and many large datasets have been generated with these markers. Microsatellites have been used, for example, to conduct genetic monitoring and construct large multigeneration pedigrees as well as genotype thousands of individuals from a given species to create high-resolution baselines of spatial genetic structure. However, the capillary electrophoresis (CE) approach used to genotype microsatellites is inefficient compared to newer genotyping-by-sequencing (GBS) approaches, and researchers have begun transitioning away from CE. Backward compatibility between GBS and CE would facilitate a seamless transition to a more efficient chemistry, while ensuring that research based on CE panels could continue. Here, we explore the feasibility of converting a legacy panel of 15 microsatellites developed for muskellunge (</span><i>Esox masquinongy</i><span>) from CE to GBS chemistry. Muskellunge are an important sportfish in the Great Lakes region, and the existing microsatellite panel has been used to genotype thousands of samples to develop a region-wide baseline of genetic structure. We successfully converted all 15 microsatellites to GBS chemistry. GBS produced high genotyping rates (98%) and had high concordance with CE microsatellite genotypes (99%). Conversion to GBS required redesign of some primers and pairs to shorten amplicon length and adjust melting temperatures, optimization of primer concentrations, and comparisons with CE genotypes to optimize GBS genotyping parameters; however, none of these steps were especially onerous. Our results demonstrate that it is highly feasible to convert legacy CE panels to GBS, ensuring seamless continuation of important, often long-term research.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-020-01185-1","usgsCitation":"Gruenthal, K., and Larson, W., 2021, Efficient genotyping with backwards compatibility: Converting a legacy microsatellite panel for muskellunge (Esox masquinongy) to genotyping-by-sequencing chemistry: Conservation Genetics Resources, v. 13, p. 151-159, https://doi.org/10.1007/s12686-020-01185-1.","productDescription":"9 p.","startPage":"151","endPage":"159","ipdsId":"IP-122376","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gruenthal, Kristen","contributorId":349610,"corporation":false,"usgs":false,"family":"Gruenthal","given":"Kristen","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":925621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925620,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70219450,"text":"70219450 - 2021 - Genetic connectivity of the West Indian manatee in the southern range and limited evidence of hybridization with Amazonian manatees","interactions":[],"lastModifiedDate":"2021-04-08T13:09:52.102394","indexId":"70219450","displayToPublicDate":"2021-01-06T08:07:30","publicationYear":"2021","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":"Genetic connectivity of the West Indian manatee in the southern range and limited evidence of hybridization with Amazonian manatees","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">The Antillean subspecies of the West Indian manatee is classified as endangered by the International Union for the Conservation of Nature (IUCN) Red List. In Brazil, the manatee population is listed as endangered with an estimated population size of 500–1,000. Historic hunting, recent habitat degradation, and fisheries bycatch have decreased the population size. The Amazonian manatee is listed as vulnerable by the IUCN with unknown population sizes within Brazil. The Antillean manatee occurs in sympatry with the Amazonian manatee in Brazil and hybridization has been previously indicated. To provide information on the genetic structure, diversity, and degree of hybridization in the sympatric zone near the Amazon River mouth, the mitochondrial DNA control region and 13 nuclear microsatellite markers were assessed on the two species. Samples were analyzed from the Antillean subspecies across its distribution in Brazil (<i>n</i><span>&nbsp;</span>= 78) and from the Amazonian species (<i>n</i><span>&nbsp;</span>= 17) at the Amazon River mouth and inland mainstem river. To assess the previously defined evolutionary significant units of Antillean manatees in the area, an additional 11 samples from Venezuela and Guyana were included. The Antillean manatee was found to be a single population in Brazil and had lower than average number of alleles (3.00), expected heterozygosity (0.34), and haplotype diversity (0.15) when compared to many other manatee populations. The low values may be influenced by the small population size and extended pressures from anthropogenic threats. Gene flow was identified with Venezuela/Guyana in admixed Antillean Brazil samples, although the two populations were found to be moderately divergent. The nuclear loci in Venezuela/Guyana Antillean manatee samples indicated high differentiation from the samples collected in the Amazon River (<i>F</i><sub>ST</sub><span>&nbsp;</span>= 0.35 and<span>&nbsp;</span><i>R</i><sub>ST</sub><span>&nbsp;</span>= 0.18,<span>&nbsp;</span><i>p</i><span>&nbsp;</span>= 0.0001). No indication of nuclear hybridization was found except for a single sample, “Poque” that had been identified previously. The distribution of Antillean manatees in Brazil is extensive and the areas with unique habitat and threats would benefit from independent management and conservation actions. Gene flow, resulting in genetic diversity and long-term population stability, could be improved in the southern range through habitat restoration, and the establishments of travel corridors and protected areas, which are particularly important for successful parturition and neonatal calf survival.</p></div>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2020.574455","usgsCitation":"Luna, F.O., Beaver, C., Nourisson, C., Bonde, R., Attademo, F.L., Miranda, A.V., Torres-Florez, J.P., de Sousa, G.P., Passavate, J.Z., and Hunter, M., 2021, Genetic connectivity of the West Indian manatee in the southern range and limited evidence of hybridization with Amazonian manatees: Frontiers in Marine Science, v. 7, 574455, 15 p., https://doi.org/10.3389/fmars.2020.574455.","productDescription":"574455, 15 p.","ipdsId":"IP-119770","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":453923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.574455","text":"Publisher Index Page"},{"id":384930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-57.62513,-30.21629],[-56.2909,-28.85276],[-55.16229,-27.88192],[-54.49073,-27.47476],[-53.64874,-26.92347],[-53.62835,-26.12487],[-54.13005,-25.54764],[-54.62529,-25.73926],[-54.42895,-25.16218],[-54.29348,-24.5708],[-54.29296,-24.02101],[-54.65283,-23.83958],[-55.0279,-24.00127],[-55.40075,-23.95694],[-55.51764,-23.572],[-55.61068,-22.65562],[-55.79796,-22.35693],[-56.47332,-22.0863],[-56.88151,-22.28215],[-57.93716,-22.09018],[-57.87067,-20.73269],[-58.16639,-20.1767],[-57.8538,-19.97],[-57.95,-19.4],[-57.67601,-18.96184],[-57.49837,-18.17419],[-57.73456,-17.55247],[-58.2808,-17.27171],[-58.38806,-16.87711],[-58.24122,-16.29957],[-60.15839,-16.25828],[-60.54297,-15.09391],[-60.25115,-15.07722],[-60.26433,-14.64598],[-60.4592,-14.35401],[-60.5033,-13.77595],[-61.08412,-13.47938],[-61.7132,-13.4892],[-62.12708,-13.19878],[-62.80306,-13.00065],[-63.1965,-12.62703],[-64.31635,-12.46198],[-65.40228,-11.56627],[-65.3219,-10.89587],[-65.44484,-10.51145],[-65.33844,-9.76199],[-66.64691,-9.93133],[-67.1738,-10.30681],[-68.04819,-10.71206],[-68.27125,-11.01452],[-68.78616,-11.03638],[-69.52968,-10.95173],[-70.09375,-11.12397],[-70.54869,-11.00915],[-70.48189,-9.49012],[-71.30241,-10.07944],[-72.18489,-10.0536],[-72.56303,-9.52019],[-73.22671,-9.46221],[-73.01538,-9.03283],[-73.57106,-8.42445],[-73.98724,-7.52383],[-73.7234,-7.341],[-73.72449,-6.9186],[-73.12003,-6.62993],[-73.21971,-6.08919],[-72.96451,-5.74125],[-72.89193,-5.27456],[-71.74841,-4.59398],[-70.92884,-4.40159],[-70.79477,-4.25126],[-69.89364,-4.29819],[-69.4441,-1.55629],[-69.42049,-1.12262],[-69.57707,-0.54999],[-70.02066,-0.18516],[-70.01557,0.54141],[-69.4524,0.70616],[-69.25243,0.60265],[-69.21864,0.98568],[-69.8046,1.08908],[-69.81697,1.71481],[-67.86857,1.69246],[-67.53781,2.03716],[-67.26,1.72],[-67.06505,1.13011],[-66.87633,1.25336],[-66.32577,0.72445],[-65.54827,0.78925],[-65.35471,1.09528],[-64.61101,1.32873],[-64.19931,1.49285],[-64.08309,1.91637],[-63.36879,2.2009],[-63.42287,2.41107],[-64.27,2.49701],[-64.40883,3.12679],[-64.36849,3.79721],[-64.81606,4.05645],[-64.62866,4.14848],[-63.88834,4.02053],[-63.0932,3.77057],[-62.80453,4.00697],[-62.08543,4.16212],[-60.96689,4.53647],[-60.60118,4.9181],[-60.73357,5.20028],[-60.21368,5.24449],[-59.98096,5.01406],[-60.111,4.57497],[-59.76741,4.4235],[-59.53804,3.9588],[-59.81541,3.6065],[-59.97452,2.75523],[-59.71855,2.24963],[-59.64604,1.78689],[-59.03086,1.3177],[-58.54001,1.26809],[-58.42948,1.46394],[-58.11345,1.5072],[-57.66097,1.68258],[-57.33582,1.94854],[-56.7827,1.86371],[-56.53939,1.89952],[-55.9957,1.81767],[-55.9056,2.022],[-56.07334,2.22079],[-55.97332,2.51036],[-55.56976,2.42151],[-55.09759,2.52375],[-54.52475,2.31185],[-54.08806,2.10556],[-53.77852,2.3767],[-53.55484,2.3349],[-53.41847,2.05339],[-52.93966,2.12486],[-52.55642,2.50471],[-52.24934,3.24109],[-51.6578,4.15623],[-51.31715,4.20349],[-51.06977,3.6504],[-50.50888,1.90156],[-49.97408,1.73648],[-49.9471,1.04619],[-50.69925,0.22298],[-50.38821,-0.07844],[-48.62057,-0.23549],[-48.5845,-1.23781],[-47.82496,-0.58162],[-46.56658,-0.94103],[-44.9057,-1.55174],[-44.41762,-2.13775],[-44.58159,-2.69131],[-43.41879,-2.38311],[-41.47266,-2.91202],[-39.97867,-2.87305],[-38.50038,-3.70065],[-37.22325,-4.82095],[-36.45294,-5.1094],[-35.5978,-5.1495],[-35.23539,-5.46494],[-34.89603,-6.73819],[-34.72999,-7.34322],[-35.12821,-8.9964],[-35.63697,-9.64928],[-37.04652,-11.04072],[-37.68361,-12.17119],[-38.42388,-13.03812],[-38.67389,-13.05765],[-38.95328,-13.79337],[-38.8823,-15.66705],[-39.16109,-17.20841],[-39.26734,-17.86775],[-39.58352,-18.2623],[-39.76082,-19.59911],[-40.77474,-20.90451],[-40.94476,-21.93732],[-41.75416,-22.37068],[-41.98828,-22.97007],[-43.0747,-22.96769],[-44.64781,-23.35196],[-45.35214,-23.79684],[-46.47209,-24.08897],[-47.64897,-24.8852],[-48.49546,-25.87702],[-48.641,-26.6237],[-48.47474,-27.17591],[-48.66152,-28.18613],[-48.88846,-28.67412],[-49.58733,-29.22447],[-50.69687,-30.98447],[-51.57623,-31.7777],[-52.25608,-32.24537],[-52.7121,-33.19658],[-53.37366,-33.76838],[-53.65054,-33.202],[-53.20959,-32.72767],[-53.78795,-32.04724],[-54.57245,-31.49451],[-55.60151,-30.85388],[-55.97324,-30.88308],[-56.97603,-30.10969],[-57.62513,-30.21629]]]},\"properties\":{\"name\":\"Brazil\"}}]}","volume":"7","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Luna, Fabia O.","contributorId":256966,"corporation":false,"usgs":false,"family":"Luna","given":"Fabia","email":"","middleInitial":"O.","affiliations":[{"id":51921,"text":"Instituto Chico Mendes de Conservação da Biodiversidade/Centro Nacional de Pesquisa e Conservação de Mamíferos Aquáticos (ICMBio/CMA), Santos, São Paulo, Brazil","active":true,"usgs":false}],"preferred":false,"id":813607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaver, Caitlin 0000-0002-9269-7604","orcid":"https://orcid.org/0000-0002-9269-7604","contributorId":219703,"corporation":false,"usgs":true,"family":"Beaver","given":"Caitlin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":813608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nourisson, Coralie","contributorId":256967,"corporation":false,"usgs":false,"family":"Nourisson","given":"Coralie","email":"","affiliations":[{"id":51922,"text":"GEOMARE, AC, Mazatlan, Mexico; CIBIO-InBIO Research Center in Biodiversity and Genetic Resources, Portugal","active":true,"usgs":false}],"preferred":false,"id":813609,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bonde, Robert 0000-0001-9179-4376","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":218675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":813610,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Attademo, Fernanda L. 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,{"id":70217767,"text":"70217767 - 2021 - Measuring U.S. Federal Agency progress toward implementation of alternative methods in toxicity testing","interactions":[],"lastModifiedDate":"2021-02-02T14:13:22.556551","indexId":"70217767","displayToPublicDate":"2021-01-06T07:57:18","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Measuring U.S. Federal Agency progress toward implementation of alternative methods in toxicity testing","docAbstract":"The U.S. Government Accountability Office (GAO) recommended  to Congress that federal agencies establish a workgroup through ICCVAM to propose metrics for assessing progress on the development and promotion of alternative methods. This document describes the recommendations of the ICCVAM Metrics Workgroup.","language":"English","publisher":"U.S. Department of Health and Human Services","usgsCitation":"Gordon, J.D., Clarke, C., Johnson, M., Reinke, E.N., Rattner, B.A., Hwang, S., Craig, E., Lowit, A., Brown, P., Davis-Bruno, K.L., Crusan, A., Fitzpatrick, S., Kang, J., Levis, R., Mendrick, D.L., Merrill, J., Berridge, B., Casey, W., Kleinstreuer, N., and Watson, H., 2021, Measuring U.S. Federal Agency progress toward implementation of alternative methods in toxicity testing, 6 p.","productDescription":"6 p.","ipdsId":"IP-124772","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":382877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":382860,"type":{"id":15,"text":"Index 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,{"id":70217746,"text":"70217746 - 2021 - Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results","interactions":[],"lastModifiedDate":"2021-02-01T14:22:27.208718","indexId":"70217746","displayToPublicDate":"2021-01-06T06:41:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isotopic composition of natural and synthetic chlorate (δ<sup>18</sup>O, Δ<sup>17</sup>O, δ<sup>37</sup>Cl, <sup>36</sup>Cl/Cl): Methods and initial results","title":"Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Natural chlorate (ClO<sub>3</sub><sup>−</sup>) is widely distributed in terrestrial and extraterrestrial environments. To improve understanding of the origins and distribution of ClO<sub>3</sub><sup>−</sup>, we developed and tested methods to determine the multi-dimensional isotopic compositions (δ<sup>18</sup>O, Δ<sup>17</sup>O, δ<sup>37</sup>Cl,<span>&nbsp;</span><sup>36</sup>Cl/Cl) of ClO<sub>3</sub><sup>−</sup><span>&nbsp;</span>and then applied the methods to samples of natural nitrate-rich caliche-type salt deposits in the Atacama Desert, Chile, and Death Valley, USA. Tests with reagents and artificial mixed samples indicate stable-isotope ratios were minimally affected by the purification processes. Chlorate extracted from Atacama samples had δ<sup>18</sup>O&nbsp;=&nbsp;+7.0 to&nbsp;+11.1‰, Δ<sup>17</sup>O&nbsp;=&nbsp;+5.7 to&nbsp;+6.4‰, δ<sup>37</sup>Cl&nbsp;=&nbsp;−1.4 to&nbsp;+1.3‰, and<span>&nbsp;</span><sup>36</sup>Cl/Cl&nbsp;=&nbsp;48&nbsp;×&nbsp;10<sup>−15</sup><span>&nbsp;</span>to 104&nbsp;×&nbsp;10<sup>−15</sup>. Chlorate from Death Valley samples had δ<sup>18</sup>O&nbsp;=&nbsp;−6.9 to&nbsp;+1.6‰, Δ<sup>17</sup>O&nbsp;=&nbsp;+0.4 to&nbsp;+2.6‰, δ<sup>37</sup>Cl&nbsp;=&nbsp;+0.8 to&nbsp;+1.0‰, and<span>&nbsp;</span><sup>36</sup>Cl/Cl&nbsp;=&nbsp;14&nbsp;×&nbsp;10<sup>−15</sup><span>&nbsp;</span>to 44&nbsp;×&nbsp;10<sup>−15</sup>. Positive Δ<sup>17</sup>O values of natural ClO<sub>3</sub><sup>−</sup><span>&nbsp;</span>indicate that its production involved reaction with O<sub>3</sub>, while its Cl isotopic composition is consistent with a tropospheric or near-surface source of Cl. The Δ<sup>17</sup>O and δ<sup>18</sup>O values of natural ClO<sub>3</sub><sup>−</sup><span>&nbsp;</span>are positively correlated, as are those of ClO<sub>4</sub><sup>−</sup><span>&nbsp;</span>and NO<sub>3</sub><sup>−</sup><span>&nbsp;</span>from the same localities, possibly indicating variation in the relative contributions of O<sub>3</sub><span>&nbsp;</span>as a source of O in the formation of the oxyanions. Additional isotopic analyses of ClO<sub>3</sub><sup>−</sup><span>&nbsp;</span>could provide stronger constraints on its production mechanisms and/or post-formational alterations, with applications for environmental forensics, global biogeochemical cycling of Cl, and the origins of oxyanions detected on Mars.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2021.129586","usgsCitation":"Jackson, W., Brundrett, M., Bohlke, J., Hatzinger, P.B., Mroczkowski, S.J., and Sturchio, N.C., 2021, Isotopic composition of natural and synthetic chlorate (δ18O, Δ17O, δ37Cl, 36Cl/Cl): Methods and initial results: Chemosphere, v. 274, 129586, 9 p., https://doi.org/10.1016/j.chemosphere.2021.129586.","productDescription":"129586, 9 p.","ipdsId":"IP-124361","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":453925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2021.129586","text":"Publisher Index Page"},{"id":382832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"274","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jackson, W Andrew","contributorId":191265,"corporation":false,"usgs":false,"family":"Jackson","given":"W Andrew","affiliations":[],"preferred":false,"id":809447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brundrett, Meaghan","contributorId":191275,"corporation":false,"usgs":false,"family":"Brundrett","given":"Meaghan","affiliations":[],"preferred":false,"id":809448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":809449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":809450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mroczkowski, Stanley J. 0000-0001-8026-6025 smroczko@usgs.gov","orcid":"https://orcid.org/0000-0001-8026-6025","contributorId":2628,"corporation":false,"usgs":true,"family":"Mroczkowski","given":"Stanley","email":"smroczko@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":809451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":809452,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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