{"pageNumber":"553","pageRowStart":"13800","pageSize":"25","recordCount":165309,"records":[{"id":70215590,"text":"sir20205097 - 2020 - Hydrogeology and groundwater flow in alluvial deposits, north Summerset, South Dakota","interactions":[],"lastModifiedDate":"2026-01-23T16:34:16.421235","indexId":"sir20205097","displayToPublicDate":"2020-10-26T10:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5097","displayTitle":"Hydrogeology and Groundwater Flow in Alluvial Deposits, North Summerset, South Dakota","title":"Hydrogeology and groundwater flow in alluvial deposits, north Summerset, South Dakota","docAbstract":"<p>The city of Summerset is a growing community in west South Dakota. The Sun Valley Estates subdivision in the north part of the city was developed on unconsolidated deposits surrounded by steep terrain. During years with greater than normal precipitation, particularly in 2019, groundwater levels increased in the unconsolidated deposits and caused damage to stormwater systems, sewer infrastructure, and houses with basements. The U.S. Geological Survey, in cooperation with the City of Summerset, completed a study of the hydrogeology and groundwater flow in the alluvial aquifer part of the unconsolidated deposits in north Summerset to understand the groundwater system in the area and to provide hydrogeologic information in support of future development planning.</p><p>The study area included most of the Sun Valley Estates subdivision in the north part of the city of Summerset in the east Black Hills of west South Dakota. About 0.7 square mile of water-bearing alluvial deposits is included in the study area. Precipitation in the study area from 2017 to 2019 was compared to the monthly normal values at a nearby climate site. The largest departure from normal was in May 2019 with precipitation exceeding the monthly normal by about 5 inches (in.). All months in 2019, except March, exceeded the monthly normal precipitation. Cumulative departure from normal precipitation in 2019 increased from about 4 in. greater than normal in January to about 18 in. greater than normal in December.</p><p>The geologic setting of the study area is characterized by the surrounding Black Hills. Unconsolidated Quaternary-age deposits overlie consolidated to partially consolidated Mesozoic-age and Paleozoic-age shales, sandstones, and limestones. Surficial deposits of alluvium and other unconsolidated deposits are the primary surficial geologic units in the study area and form the components of the alluvium hydrogeologic unit of the study area. Results from previous studies of alluvium along nearby Rapid Creek estimated hydraulic conductivity to range from 89 to 2,292 feet per day (ft/d), transmissivity to range from 1,001 to 32,083 feet squared per day, and storage coefficients to range from 0.0002 to 0.16. Hydraulic conductivity and transmissivity generally decreased downstream along Rapid Creek (west to east). Slug tests were completed August 16, 2019, at two observation wells completed in the alluvial aquifer in the Sun Valley Estates subdivision to determine hydraulic conductivity. Hydraulic conductivity estimated from AQTESOLV curve-fitting analysis using the Bouwer-Rice method for all slug-in and slug-out trials from two observation wells in the study ranged from 0.20 to 0.26 ft/d for well 441318103220001 (SunValley1 well) and from 0.54 to 14 ft/d for well 441319103215701 (SunValley2 well). The mean, median, and standard deviation of all trials at both wells were 4.3 ft/d, 0.8 ft/d, and 5.6 ft/d, respectively.</p><p>The extent of the alluvial aquifer was determined by geologic maps and lithologic logs. Alluvial deposits in the study area extend to about 1 mile in the north–south direction and about 1.5 miles in the southeast–northwest direction. The direction of groundwater flow was estimated using water-level records and topographic maps. The resulting potentiometric map indicated that groundwater in the alluvial aquifer under the Sun Valley Estates subdivision originates from higher elevations of the west part of the area of interest and from streams in the southeast part. Recharge and evapotranspiration estimates were results from a Soil-Water Balance model that calculated a matrix of recharge for 2019 with values ranging from 0 to 11.4 in. and an annual mean value of 5.1 in. across the study area. Soil-Water Balance-estimated potential evapotranspiration for 2019 ranged from 28.90 to 28.75 in. and the estimated annual mean was 28.86 in. across the study area. Estimated groundwater budget components for the alluvial aquifer in the area of interest included inflows and outflows. Total estimated groundwater budget components for inflows for 2019 were about 66 percent from recharge, 33 percent from streamflow, and 1 percent from inflow from adjacent aquifers. Total estimated outflows were about 99-percent evapotranspiration and less than 1-percent outflow to adjacent aquifers.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205097","issn":"2328-0328","usgsCitation":"Eldridge, W.G., and Anderson, T.M., 2020, Hydrogeology and groundwater flow in alluvial deposits, north Summerset, South Dakota: U.S. Geological Survey Scientific Investigations Report 2020–5097, 31 p., https://doi.org/10.3133/sir20205097.","productDescription":"Report: vii, 31 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-116994","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":379700,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5097/coverthb.jpg"},{"id":379703,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS Water Data for the Nation"},{"id":379702,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TKVMXU","text":"USGS data release","description":"USGS data release","linkHelpText":"Soil-Water Balance model for alluvial deposits in Summerset, South Dakota"},{"id":379701,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5097/sir20205097.pdf","text":"Report","size":"5.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5097"}],"country":"United States","state":"South Dakota","city":"Sommerset","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -103.37310791015625,\n              44.15856343854312\n            ],\n            [\n              -103.28109741210938,\n              44.15856343854312\n            ],\n            [\n              -103.28109741210938,\n              44.203866109361435\n            ],\n            [\n              -103.37310791015625,\n              44.203866109361435\n            ],\n            [\n              -103.37310791015625,\n              44.15856343854312\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>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrogeology</li><li>Groundwater Flow</li><li>Data and Interpretive Limitations</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2020-10-26","noUsgsAuthors":false,"publicationDate":"2020-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Eldridge, William G. 0000-0002-3562-728X","orcid":"https://orcid.org/0000-0002-3562-728X","contributorId":208529,"corporation":false,"usgs":true,"family":"Eldridge","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Todd M. 0000-0001-8971-9502","orcid":"https://orcid.org/0000-0001-8971-9502","contributorId":218978,"corporation":false,"usgs":true,"family":"Anderson","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802867,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216168,"text":"70216168 - 2020 - Outsized nutrient contributions from small tributaries to a Great Lake","interactions":[],"lastModifiedDate":"2020-11-07T15:41:41.549453","indexId":"70216168","displayToPublicDate":"2020-10-26T09:34:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Outsized nutrient contributions from small tributaries to a Great Lake","docAbstract":"<div class=\"executive-summary\"><p id=\"p-4\">Excessive nutrient inputs from tributary streams and rivers contribute to harmful algal blooms and coastal ecosystem degradation worldwide. However, the role that small tributaries play in coastal nutrient dynamics remains unknown because most monitoring and regulatory efforts focus only on the largest tributaries. We combined a 6-d sampling effort with discharge modeling to characterize nutrient inputs from nearly all watersheds draining to the world’s fifth largest lake. We found that streams are particularly likely to promote eutrophication in coastal ecosystems because they deliver water with higher concentrations of nutrients that are readily available to algae. Thus, our findings indicate that efforts to control nutrient loading could be enhanced by looking beyond the largest tributaries to include smaller streams.</p></div><div id=\"abstract-2\" class=\"section abstract\"><br></div>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2001376117","usgsCitation":"Mooney, R.J., Stanley, E.H., Rosenthal, W., Esselman, P., Kendall, A.D., and McIntyre, P.B., 2020, Outsized nutrient contributions from small tributaries to a Great Lake: Proceedings of the National Academy of Sciences, v. 117, no. 45, 8 p., https://doi.org/10.1073/pnas.2001376117.","productDescription":"8 p.","ipdsId":"IP-121600","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454963,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2001376117","text":"Publisher Index Page"},{"id":380282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.6826171875,\n              46.164614496897094\n            ],\n            [\n              -85.20996093749999,\n              46.437856895024204\n            ],\n            [\n              -86.4404296875,\n              46.437856895024204\n            ],\n            [\n              -88.9013671875,\n              45.460130637921004\n            ],\n            [\n              -88.9013671875,\n              43.45291889355465\n            ],\n            [\n              -88.11035156249999,\n              41.57436130598913\n            ],\n            [\n              -87.62695312499999,\n              40.84706035607122\n            ],\n            [\n              -85.7373046875,\n              41.50857729743935\n            ],\n            [\n              -85.7373046875,\n              43.45291889355465\n            ],\n            [\n              -84.6826171875,\n              45.398449976304086\n            ],\n            [\n              -84.6826171875,\n              46.164614496897094\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"117","issue":"45","noUsgsAuthors":false,"publicationDate":"2020-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Mooney, Robert J","contributorId":244629,"corporation":false,"usgs":false,"family":"Mooney","given":"Robert","email":"","middleInitial":"J","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":804290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":804291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenthal, William C.","contributorId":244630,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William C.","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":804292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":804293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, Anthony D","contributorId":244631,"corporation":false,"usgs":false,"family":"Kendall","given":"Anthony","email":"","middleInitial":"D","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":804294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McIntyre, Peter B.","contributorId":166828,"corporation":false,"usgs":false,"family":"McIntyre","given":"Peter","email":"","middleInitial":"B.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":804295,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70235843,"text":"70235843 - 2020 - Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 1. Equal emphasis","interactions":[],"lastModifiedDate":"2022-08-23T14:12:39.473556","indexId":"70235843","displayToPublicDate":"2020-10-26T09:10:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 1. Equal emphasis","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13954","usgsCitation":"Nimmo, J.R., 2020, Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 1. Equal emphasis: Hydrological Processes, v. 34, no. 26, p. 5690-5693, https://doi.org/10.1002/hyp.13954.","productDescription":"4 p.","startPage":"5690","endPage":"5693","ipdsId":"IP-123789","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":405457,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"26","noUsgsAuthors":false,"publicationDate":"2020-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":849509,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70235840,"text":"70235840 - 2020 - Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 2. Disparate formulation","interactions":[],"lastModifiedDate":"2022-08-23T13:55:39.99211","indexId":"70235840","displayToPublicDate":"2020-10-26T08:53:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 2. Disparate formulation","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.13957","usgsCitation":"Nimmo, J.R., 2020, Imperatives for predicting preferential and diffuse flow in the unsaturated zone: 2. Disparate formulation: Hydrological Processes, v. 34, no. 26, p. 5694-5698, https://doi.org/10.1002/hyp.13957.","productDescription":"5 p.","startPage":"5694","endPage":"5698","ipdsId":"IP-123788","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":405455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"26","noUsgsAuthors":false,"publicationDate":"2020-11-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","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}],"preferred":true,"id":849508,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217374,"text":"70217374 - 2020 - Integrated geophysical analysis provides an alternate interpretation of the northern margin of the North American Midcontinent Rift System, Central Lake Superior","interactions":[],"lastModifiedDate":"2021-01-20T14:21:06.01387","indexId":"70217374","displayToPublicDate":"2020-10-26T08:18:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Integrated geophysical analysis provides an alternate interpretation of the northern margin of the North American Midcontinent Rift System, Central Lake Superior","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>The Midcontinent Rift System (MRS) is a 1.1 Ga sequence of voluminous basaltic eruptions and multiple intrusions followed by widespread sedimentation that extends across the Midcontinent and northern Great Lakes region of North America. Previous workers have commonly used seismic-reflection data (Great Lakes International Multidisciplinary Program on Crustal Evolution [GLIMPCE] line A) to demonstrate that the northern rift margin in central Lake Superior developed as a normal growth fault that was structurally inverted to a reverse fault during a compressional event after rifting had ended. A prominent, curvilinear aeromagnetic anomaly that extends from Isle Royale, Michigan, to Superior Shoal in central Lake Superior, Ontario (the IR-SS anomaly), is commonly presented as a manifestation of this reverse fault. We have integrated multidisciplinary geophysical analyses (seismic-reflection, seismic-refraction, aeromagnetic, and gravity), physical-property information (density, magnetic susceptibility and remanence, and compressional-wave velocity), and geologic concepts to develop an alternate interpretation of the rift margin along GLIMPCE line A, where it intersects the IR-SS anomaly. Our new model indicates that a normal fault is the dominant structure at the northern rift margin along line A, contrary to the original rift-margin paradigm, which asserts that compressional structures are the dominant features preserved today. Integral to this alternate model is a newly interpreted, prerift sedimentary basin intruded by sills in northern Lake Superior. Our alternate model of the northern rift margin has implications for interpreting the style, scale, and timing of extension, rift-related intrusion, and compression during development of the MRS.</p></div>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/int-2019-0262.1","usgsCitation":"Grauch, V.J., Anderson, E., Heller, S.J., Stewart, E.K., and Woodruff, L.G., 2020, Integrated geophysical analysis provides an alternate interpretation of the northern margin of the North American Midcontinent Rift System, Central Lake Superior: Interpretation, v. 8, no. 4, p. SS63-SS85, https://doi.org/10.1190/int-2019-0262.1.","productDescription":"23 p.","startPage":"SS63","endPage":"SS85","ipdsId":"IP-114165","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":454966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1190/int-2019-0262.1","text":"Publisher Index Page"},{"id":382318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.681640625,\n              46.6795944656402\n            ],\n            [\n              -86.7041015625,\n              46.164614496897094\n            ],\n            [\n              -84.19921875,\n              46.437856895024204\n            ],\n            [\n              -84.462890625,\n              48.04870994288686\n            ],\n            [\n              -86.044921875,\n              49.009050809382046\n            ],\n            [\n              -88.11035156249999,\n              49.26780455063753\n            ],\n            [\n              -89.69238281249999,\n              48.719961222646276\n            ],\n            [\n              -92.021484375,\n              47.635783590864854\n            ],\n            [\n              -92.5048828125,\n              46.649436163350245\n            ],\n            [\n              -91.8896484375,\n              46.31658418182218\n            ],\n            [\n              -90.087890625,\n              46.22545288226939\n            ],\n            [\n              -88.681640625,\n              46.6795944656402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":152256,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":808545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Eric D. 0000-0002-0138-6166","orcid":"https://orcid.org/0000-0002-0138-6166","contributorId":202072,"corporation":false,"usgs":true,"family":"Anderson","given":"Eric D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":808546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heller, Samuel J. 0000-0002-6579-5620 sheller@usgs.gov","orcid":"https://orcid.org/0000-0002-6579-5620","contributorId":201350,"corporation":false,"usgs":true,"family":"Heller","given":"Samuel","email":"sheller@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":808547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Esther K.","contributorId":247878,"corporation":false,"usgs":false,"family":"Stewart","given":"Esther","email":"","middleInitial":"K.","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":808548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":808549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217260,"text":"70217260 - 2020 - Lava–water interaction and hydrothermal activity within the 2014–2015 Holuhraun Lava Flow Field, Iceland","interactions":[],"lastModifiedDate":"2021-01-27T22:00:38.765579","indexId":"70217260","displayToPublicDate":"2020-10-26T07:54:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Lava–water interaction and hydrothermal activity within the 2014–2015 Holuhraun Lava Flow Field, Iceland","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0065\">Lava that erupted during the 2014–2015 Holuhraun eruption in Iceland flowed into a proglacial river system, resulting in aqueous cooling of the lava and an ephemeral hydrothermal system. We carried out a monitoring study of this system from 2015 to 2018 to document the cooling of the lava over this time, using thermocouple measurements and data-logging sensors. The heat loss rate from advection through this hydrothermal system in August 2015 was ~5.5 × 10<sup>8</sup>&nbsp;W; since eruption, aqueous cooling likely accounted for ~1% of the total heat loss from the lava. This estimate excludes steam losses from fumaroles as well as any groundwater that was not released to the surface, and thus is a lower bound. Near the terminus of the flow, advection of heat by flowing water may have locally accounted for tens of percent of the total cooling of that part of the flow. Our data quantify the importance of water cooling for this lava flow and can be compared with models to better understand lava–water interactions more generally. We also provide detailed methods for simple, low-cost monitoring of similar instances in the future.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2020.107100","usgsCitation":"Dundas, C.M., Keszthelyi, L., Lev, E., Rumpf, M.E., Hamilton, C.W., Hoskuldsson, A., and Thordarson, T., 2020, Lava–water interaction and hydrothermal activity within the 2014–2015 Holuhraun Lava Flow Field, Iceland: Journal of Volcanology and Geothermal Research, v. 408, 107100, 13 p., https://doi.org/10.1016/j.jvolgeores.2020.107100.","productDescription":"107100, 13 p.","ipdsId":"IP-118248","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":454967,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2020.107100","text":"Publisher Index Page"},{"id":436742,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RMLJ7X","text":"USGS data release","linkHelpText":"Sensor Data from Monitoring the Cooling of the 2014-2015 Lava Flow and Hydrothermal System at Holuhraun, Iceland"},{"id":382153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","otherGeospatial":"Holuhraun Lava Flow Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -17.633056640625,\n              64.50118574349311\n            ],\n            [\n              -15.2490234375,\n              64.50118574349311\n            ],\n            [\n              -15.2490234375,\n              65.33476308280491\n            ],\n            [\n              -17.633056640625,\n              65.33476308280491\n            ],\n            [\n              -17.633056640625,\n              64.50118574349311\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"408","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224 cdundas@usgs.gov","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":2937,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin","email":"cdundas@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":808198,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":808207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lev, Einat 0000-0002-8174-0558","orcid":"https://orcid.org/0000-0002-8174-0558","contributorId":194355,"corporation":false,"usgs":false,"family":"Lev","given":"Einat","email":"","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":808200,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rumpf, M. Elise 0000-0001-7906-2623","orcid":"https://orcid.org/0000-0001-7906-2623","contributorId":217992,"corporation":false,"usgs":true,"family":"Rumpf","given":"M.","email":"","middleInitial":"Elise","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":808201,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamilton, Christopher W.","contributorId":196266,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":808202,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoskuldsson, Armann","contributorId":247742,"corporation":false,"usgs":false,"family":"Hoskuldsson","given":"Armann","affiliations":[{"id":49635,"text":"U. Iceland","active":true,"usgs":false}],"preferred":false,"id":808203,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thordarson, Thorvaldur","contributorId":197925,"corporation":false,"usgs":false,"family":"Thordarson","given":"Thorvaldur","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":808204,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70237706,"text":"70237706 - 2020 - Thermokarst amplifies fluvial inorganic carbon cycling and export across watershed scales on the Peel Plateau, Canada","interactions":[],"lastModifiedDate":"2022-10-19T12:16:23.034323","indexId":"70237706","displayToPublicDate":"2020-10-26T07:11:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Thermokarst amplifies fluvial inorganic carbon cycling and export across watershed scales on the Peel Plateau, Canada","docAbstract":"<p><span>As climate warming and precipitation increase at high latitudes, permafrost terrains across the circumpolar north are poised for intensified geomorphic activity and sediment mobilization that are expected to persist for millennia. In previously glaciated permafrost terrain, ice-rich deposits are associated with large stores of reactive mineral substrate. Over geological timescales, chemical weathering moderates atmospheric&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;levels, raising the prospect that mass wasting driven by terrain consolidation following thaw (thermokarst) may enhance weathering of permafrost sediments and thus climate feedbacks. The nature of these feedbacks depends upon the mineral composition of sediments (weathering sources) and the balance between atmospheric exchange of&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;vs. fluvial export of carbonate alkalinity (</span><span class=\"inline-formula\">Σ</span><span>[</span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M4&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow class=&quot;chem&quot;><msubsup><mi mathvariant=&quot;normal&quot;>HCO</mi><mn mathvariant=&quot;normal&quot;>3</mn><mo>-</mo></msubsup></mrow></math>\"><span id=\"M4\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow chem\"><span id=\"MathJax-Span-4\" class=\"msubsup\"><span id=\"MathJax-Span-5\" class=\"mi\">HCO</span><span id=\"MathJax-Span-6\" class=\"mo\">−</span><span id=\"MathJax-Span-7\" class=\"mn\">3</span></span></span></span></span></span></span></span><span>,&nbsp;</span><span class=\"inline-formula\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow class=&quot;chem&quot;><msubsup><mi mathvariant=&quot;normal&quot;>CO</mi><mn mathvariant=&quot;normal&quot;>3</mn><mrow><mn mathvariant=&quot;normal&quot;>2</mn><mo>-</mo></mrow></msubsup></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mrow chem\"><span id=\"MathJax-Span-11\" class=\"msubsup\"><span id=\"MathJax-Span-12\" class=\"mi\">CO</span><span id=\"MathJax-Span-13\" class=\"mrow\"><span id=\"MathJax-Span-14\" class=\"mn\">2</span><span id=\"MathJax-Span-15\" class=\"mo\">−</span></span><span id=\"MathJax-Span-16\" class=\"mn\">3</span></span></span></span></span></span></span></span><span>]). Working in the fluvially incised, ice-rich glacial deposits of the Peel Plateau in northwestern Canada, we determine the effects of slope thermokarst in the form of retrogressive thaw slump (RTS) activity on mineral weathering sources,&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;dynamics, and carbonate alkalinity export and how these effects integrate across watershed scales (</span><span class=\"inline-formula\">∼</span><span> 2 to 1000 </span><span class=\"inline-formula\">km<sup>2</sup></span><span>). We worked along three transects in nested watersheds with varying connectivity to RTS activity: a 550 </span><span class=\"inline-formula\">m</span><span>&nbsp;transect along a first-order thaw stream within a large RTS, a 14 </span><span class=\"inline-formula\">km</span><span>&nbsp;transect along a stream which directly received inputs from several RTSs, and a 70 </span><span class=\"inline-formula\">km</span><span>&nbsp;transect along a larger stream with headwaters that lay outside of RTS influence. In undisturbed headwaters, stream chemistry reflected&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;from soil respiration processes and atmospheric exchange. Within the RTS, rapid sulfuric acid carbonate weathering, prompted by the exposure of sulfide- and carbonate-bearing tills, appeared to increase fluvial&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;efflux to the atmosphere and propagate carbonate alkalinity across watershed scales. Despite covering less than 1 % of the landscape, RTS activity drove carbonate alkalinity to increase by 2 orders of magnitude along the largest transect. Amplified export of carbonate alkalinity together with isotopic signals of shifting DIC and&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;sources along the downstream transects highlights the dynamic nature of carbon cycling that may typify glaciated permafrost watersheds subject to intensification of hillslope thermokarst. The balance between&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;drawdown in regions where carbonic acid weathering predominates and&nbsp;</span><span class=\"inline-formula\">CO<sub>2</sub></span><span>&nbsp;release in regions where sulfides are more prevalent will determine the biogeochemical legacy of thermokarst and enhanced weathering in northern permafrost terrains. Effects of RTSs on carbon cycling can be expected to persist for millennia, indicating a need for their integration into predictions of weathering–carbon–climate feedbacks among thermokarst terrains.</span></p>","language":"English","publisher":"Copernicus","doi":"10.5194/bg-17-5163-2020","usgsCitation":"Zolkos, S., Tank, S.E., Striegl, R.G., Kokelj, S.V., Kokszka, J., Estop-Aragones, C., and Olefeldt, D., 2020, Thermokarst amplifies fluvial inorganic carbon cycling and export across watershed scales on the Peel Plateau, Canada: Biogeosciences, v. 17, p. 5163-5182, https://doi.org/10.5194/bg-17-5163-2020.","productDescription":"20 p.","startPage":"5163","endPage":"5182","ipdsId":"IP-114392","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":454971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-17-5163-2020","text":"Publisher Index Page"},{"id":408532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -140.69091796875,\n              66.133854089549\n            ],\n            [\n              -125.72753906249999,\n              66.133854089549\n            ],\n            [\n              -125.72753906249999,\n              70.22231091600497\n            ],\n            [\n              -140.69091796875,\n              70.22231091600497\n            ],\n            [\n              -140.69091796875,\n              66.133854089549\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2020-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Zolkos, Scott 0000-0001-9945-6945","orcid":"https://orcid.org/0000-0001-9945-6945","contributorId":238024,"corporation":false,"usgs":false,"family":"Zolkos","given":"Scott","email":"","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":855083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tank, Suzanne E. 0000-0002-5371-6577","orcid":"https://orcid.org/0000-0002-5371-6577","contributorId":238026,"corporation":false,"usgs":false,"family":"Tank","given":"Suzanne","email":"","middleInitial":"E.","affiliations":[{"id":47684,"text":"Department of Biological Sciences, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":855084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":855085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kokelj, Steven V.","contributorId":178128,"corporation":false,"usgs":false,"family":"Kokelj","given":"Steven","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":855086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokszka, Justin","contributorId":298089,"corporation":false,"usgs":false,"family":"Kokszka","given":"Justin","email":"","affiliations":[{"id":56086,"text":"Northwest Territories Geological Survey","active":true,"usgs":false}],"preferred":false,"id":855089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Estop-Aragones, Cristian","contributorId":178293,"corporation":false,"usgs":false,"family":"Estop-Aragones","given":"Cristian","email":"","affiliations":[],"preferred":false,"id":855087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olefeldt, David","contributorId":169408,"corporation":false,"usgs":false,"family":"Olefeldt","given":"David","affiliations":[{"id":32365,"text":"Department of Renewable Resources, University of Alberta","active":true,"usgs":false}],"preferred":false,"id":855088,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70217887,"text":"70217887 - 2020 - Distribution of aseismic deformation along the central San Andreas and Calaveras Faults from differencing repeat airborne lidar","interactions":[],"lastModifiedDate":"2021-02-09T12:58:50.628656","indexId":"70217887","displayToPublicDate":"2020-10-26T06:54:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Distribution of aseismic deformation along the central San Andreas and Calaveras Faults from differencing repeat airborne lidar","docAbstract":"<p><span>Fault creep reduces seismic hazard and serves as a window into plate boundary processes; however, creep rates are typically constrained with sparse measurements. We use differential lidar topography (11–13&nbsp;year time span) to measure a spatially dense surface deformation field along a 150&nbsp;km section of the Central San Andreas and Calaveras faults. We use an optimized windowed‐iterative‐closest‐point approach to resolve independent creep rates every 400&nbsp;m at 1–2&nbsp;km apertures. Rates vary from &lt;10&nbsp;mm/year along the creeping fault ends to over 30&nbsp;mm/year along much of the central 100&nbsp;km of the fault. Creep rates are 3–8&nbsp;mm/year higher than most rates from alignment arrays and creepmeters, likely due to the larger aperture of the topographic differencing. Creep is often focused along discrete fault traces, but strain is sometimes distributed in areas of complex fault geometry, such as Mustang Ridge. Our observations constrain shallow seismic moment accumulation and the location of the creeping fault trace.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL090628","usgsCitation":"Scott, C.P., DeLong, S.B., and Arrosmith, J.R., 2020, Distribution of aseismic deformation along the central San Andreas and Calaveras Faults from differencing repeat airborne lidar: Geophysical Research Letters, v. 47, no. 22, e2020GL090628, 10 p., https://doi.org/10.1029/2020GL090628.","productDescription":"e2020GL090628, 10 p.","ipdsId":"IP-120619","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":454973,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gl090628","text":"Publisher Index Page"},{"id":436743,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76W9896","text":"USGS data release","linkHelpText":"Data from Theodolite Measurements of Creep Rates on San Francisco Bay Region Faults, California (ver. 2.2, July 2023)"},{"id":383141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"central  San Andreas fault","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.86035156249999,\n              36.155617833818525\n            ],\n            [\n              -120.65185546875,\n              36.155617833818525\n            ],\n            [\n              -120.65185546875,\n              36.87962060502676\n            ],\n            [\n              -121.86035156249999,\n              36.87962060502676\n            ],\n            [\n              -121.86035156249999,\n              36.155617833818525\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"22","noUsgsAuthors":false,"publicationDate":"2020-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Chelsea P 0000-0002-3884-4693","orcid":"https://orcid.org/0000-0002-3884-4693","contributorId":248847,"corporation":false,"usgs":false,"family":"Scott","given":"Chelsea","email":"","middleInitial":"P","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":810064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":810065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arrosmith, J Ramon 0000-0003-1756-3697","orcid":"https://orcid.org/0000-0003-1756-3697","contributorId":248848,"corporation":false,"usgs":false,"family":"Arrosmith","given":"J","email":"","middleInitial":"Ramon","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":810066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216891,"text":"70216891 - 2020 - Isolation and characterization of microsatellite loci in merlins (Falco columbarius) and cross-species amplification in gyrfalcons (F. rusticolus) and peregrine falcons (F. peregrinus)","interactions":[],"lastModifiedDate":"2020-12-14T15:09:13.182404","indexId":"70216891","displayToPublicDate":"2020-10-24T09:04:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7467,"text":"Molecular Biology Reports","onlineIssn":"1573-4978","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Isolation and characterization of microsatellite loci in merlins (<i>Falco columbarius</i>) and cross-species amplification in gyrfalcons (<i>F. rusticolus</i>) and peregrine falcons (<i>F. peregrinus</i>)","title":"Isolation and characterization of microsatellite loci in merlins (Falco columbarius) and cross-species amplification in gyrfalcons (F. rusticolus) and peregrine falcons (F. peregrinus)","docAbstract":"I. Background:  Merlins, Falco columbarius, breed throughout temperate and high latitude habitats in Asia, Europe, and North America.  Like peregrine falcons, F. peregrinus, merlins underwent population declines during the mid-to-late 20th century, due to organochlorine-based contamination, and have subsequently recovered, at least in North American populations.  \nII. Methods and Results:  To better understand levels of genetic diversity and population structuring in contemporary populations and to assess the impact of the 20th century decline, we used genomic data archived in public databases and constructed genomic libraries to isolate and characterize a suite of 17 microsatellite markers for use in merlins.  We also conducted cross-amplification experiments to determine the markers’ utility in peregrine falcons and gyrfalcons, F. rusticolus.  \nIII. Conclusions:  These markers provide a valuable addition to marker suites that can be used to determine individual identity and conduct genetic analyses on merlins and congeners.","language":"English","publisher":"Springer","doi":"10.1007/s11033-020-05842-4","usgsCitation":"Hull, J.M., Sage, G.K., Sonsthagen, S.A., Gravley, M.C., Martinico, B.L., Booms, T.L., Swem, T., and Talbot, S.L., 2020, Isolation and characterization of microsatellite loci in merlins (Falco columbarius) and cross-species amplification in gyrfalcons (F. rusticolus) and peregrine falcons (F. peregrinus): Molecular Biology Reports, v. 47, p. 8377-8383, https://doi.org/10.1007/s11033-020-05842-4.","productDescription":"7 p.","startPage":"8377","endPage":"8383","ipdsId":"IP-108647","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436744,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BOU6CP","text":"USGS data release","linkHelpText":"Genetic Data for Merlin (Falco columbarius) and Cross-Species Microsatellite Amplification in Select Falco Species, North America"},{"id":381253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2020-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hull, Joshua M.","contributorId":127686,"corporation":false,"usgs":false,"family":"Hull","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":806750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sage, George K. 0000-0003-1431-2286 ksage@usgs.gov","orcid":"https://orcid.org/0000-0003-1431-2286","contributorId":87833,"corporation":false,"usgs":true,"family":"Sage","given":"George","email":"ksage@usgs.gov","middleInitial":"K.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":806751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":806752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gravley, Megan C. 0000-0002-4947-0236 mgravley@usgs.gov","orcid":"https://orcid.org/0000-0002-4947-0236","contributorId":202812,"corporation":false,"usgs":true,"family":"Gravley","given":"Megan","email":"mgravley@usgs.gov","middleInitial":"C.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":806753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinico, Breanna L.","contributorId":215572,"corporation":false,"usgs":false,"family":"Martinico","given":"Breanna","email":"","middleInitial":"L.","affiliations":[{"id":39284,"text":"U. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":806754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":806755,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":806756,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","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":806757,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216694,"text":"70216694 - 2020 - Characterization of acoustic detection efficiency using a gliding robotic fish as a mobile receiver platform","interactions":[],"lastModifiedDate":"2020-12-01T13:03:58.668537","indexId":"70216694","displayToPublicDate":"2020-10-24T06:56:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of acoustic detection efficiency using a gliding robotic fish as a mobile receiver platform","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Autonomous underwater vehicles (AUVs) and animal telemetry have become important tools for understanding the relationships between aquatic organisms and their environment, but more information is needed to guide the development and use of AUVs as effective animal tracking platforms. A forward-facing acoustic telemetry receiver (VR2Tx 69&nbsp;kHz; VEMCO, Bedford, Nova Scotia) attached to a novel AUV (gliding robotic fish) was tested in a freshwater lake to (1) compare its detection efficiency (i.e., the probability of detecting an acoustic signal emitted by a tag) of acoustic tags (VEMCO model V8-4H 69&nbsp;kHz) to stationary receivers and (2) determine if detection efficiency was related to distance between tag and receiver, direction of movement (toward or away from transmitter), depth, or pitch.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>Detection efficiency for mobile (robot-mounted) and stationary receivers were similar at ranges less than 300&nbsp;m, on average across all tests, but detection efficiency for the mobile receiver decreased faster than for stationary receivers at distances greater than 300&nbsp;m. Detection efficiency was higher when the robot was moving toward the transmitter than when moving away from the transmitter. Detection efficiency decreased with depth (surface to 4&nbsp;m) when the robot was moving away from the transmitter, but depth had no significant effect on detection efficiency when the robot was moving toward the transmitter. Detection efficiency was higher when the robot was descending (pitched downward) than ascending (pitched upward) when moving toward the transmitter, but pitch had no significant effect when moving away from the transmitter.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Results suggested that much of the observed variation in detection efficiency is related to shielding of the acoustic signal by the robot body depending on the positions and orientation of the hydrophone relative to the transmitter. Results are expected to inform hardware, software, and operational changes to gliding robotic fish that will improve detection efficiency. Regardless, data on the size and shape of detection efficiency curves for gliding robotic fish will be useful for planning future missions and should be relevant to other AUVs for telemetry. With refinements, gliding robotic fish could be a useful platform for active tracking of acoustic tags in certain environments.</p>","language":"English","publisher":"Springer","doi":"10.1186/s40317-020-00219-7","usgsCitation":"Ennasr, O., Holbrook, C., Hondorp, D.W., Krueger, C., Coleman, D., Solanki, P., Thon, J., and Tan, X., 2020, Characterization of acoustic detection efficiency using a gliding robotic fish as a mobile receiver platform: Animal Biotelemetry, v. 8, no. 32, 13 p., https://doi.org/10.1186/s40317-020-00219-7.","productDescription":"13 p.","ipdsId":"IP-122951","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":454977,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-020-00219-7","text":"Publisher Index Page"},{"id":436745,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S75TSB","text":"USGS data release","linkHelpText":"Acoustic detection performance of gliding robotic fish in Higgins Lake, Michigan, USA, 2016-2018"},{"id":380901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"32","noUsgsAuthors":false,"publicationDate":"2020-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ennasr, Osama 0000-0002-8353-6446","orcid":"https://orcid.org/0000-0002-8353-6446","contributorId":245318,"corporation":false,"usgs":false,"family":"Ennasr","given":"Osama","email":"","affiliations":[{"id":49149,"text":"Department of Electrical and Computer Engineering, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":805903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":805904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":805905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":805906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coleman, Demetris","contributorId":245319,"corporation":false,"usgs":false,"family":"Coleman","given":"Demetris","email":"","affiliations":[{"id":49149,"text":"Department of Electrical and Computer Engineering, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":805907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solanki, Pratap","contributorId":245320,"corporation":false,"usgs":false,"family":"Solanki","given":"Pratap","email":"","affiliations":[{"id":49149,"text":"Department of Electrical and Computer Engineering, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":805908,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thon, John","contributorId":245321,"corporation":false,"usgs":false,"family":"Thon","given":"John","email":"","affiliations":[{"id":49149,"text":"Department of Electrical and Computer Engineering, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":805909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tan, Xiaobo 0000-0002-5542-6266","orcid":"https://orcid.org/0000-0002-5542-6266","contributorId":214765,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":805910,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70215466,"text":"ofr20201104 - 2020 - Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017","interactions":[],"lastModifiedDate":"2020-10-25T17:23:47.879673","indexId":"ofr20201104","displayToPublicDate":"2020-10-23T12:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1104","displayTitle":"Evaluation of the U.S. Geological Survey Streamgage Network in South Carolina, 2017","title":"Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017","docAbstract":"<p>The U.S. Geological Survey (USGS) has been monitoring streamflow in South Carolina since the late 1800s. From the beginning, the USGS streamgage network in South Carolina has been dynamic, with streamgages being added or removed depending on their purpose and the availability of funding from Federal, State, and local partners. Streamflow monitoring is important for acquiring real-time data during flood events, but also for collecting long-term data that can be used to compute the magnitude and frequency of floods and to frame flood events in a historical perspective. These data are also critical for being able to develop regional regression equations that can be used to estimate flood characteristics at ungaged locations, which is important for infrastructure planning and design. The historical flooding that occurred in South Carolina in 2015, 2016, and 2018 highlighted the importance of collecting these data. Therefore, the USGS, in cooperation with the South Carolina Department of Transportation, evaluated the USGS streamgage network in South Carolina for the purpose of helping guide decisions concerning future streamgage location selection, both spatially and in terms of the range of drainage basin characteristics that are typically important in flood-frequency analyses. The results of this evaluation are presented in this report.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201104","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation","usgsCitation":"Feaster, T.D., and Kolb, K.R., 2020, Evaluation of the U.S. Geological Survey streamgage network in South Carolina, 2017: U.S. Geological Survey Open-File Report 2020–1104, 15 p., https://doi.org/10.3133/ofr20201104.","productDescription":"Report: vii, 15 p.; 1 Plate: 40.00 x 40.00 inches; Appendixes 1-3; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-116207","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":379564,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1104/coverthb.jpg"},{"id":379567,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1104/ofr20201104_appendixes.xlsx","text":"Appendixes 1-3","size":"55.9 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Excel file"},{"id":379565,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1104/ofr20201104.pdf","text":"Report","size":"2.09 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1104"},{"id":379568,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2020/1104/ofr20201104_appendixes.zip","text":"Appendixes 1-3","size":"13.4 KB","linkFileType":{"id":6,"text":"zip"},"linkHelpText":"- CSV files in a zipped 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152035,33.350925],[-79.158429,33.332811],[-79.162332,33.327246],[-79.180318,33.254141],[-79.180563,33.237955],[-79.172394,33.206577],[-79.18787,33.173712],[-79.195631,33.166016],[-79.215453,33.155569],[-79.238262,33.137055],[-79.24609,33.124865],[-79.290754,33.110051]]]},\"properties\":{\"name\":\"South Carolina\",\"nation\":\"USA  \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sa-water\" data-mce-href=\"https://www.usgs.gov/centers/sa-water\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive<br>Suite 500<br>Norcross, GA 30093</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>History of the Streamgage Network in South Carolina</li><li>Methods</li><li>Summary Statistics</li><li>Considerations for the Selection of New Streamgage Locations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Rural Streamgages With 10 or More Years of Record</li><li>Appendix 2. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Rural Streamgages With Less Than 10 Years of Record</li><li>Appendix 3. U.S. Geological Survey Streamgages in South Carolina With Record Through September 2017—Urban Streamgages With Varying Years of Record</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-10-23","noUsgsAuthors":false,"publicationDate":"2020-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":205647,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolb, Katharine 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":5537,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802246,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215414,"text":"tm9A6.2 - 2020 - Chapter A6.2. Dissolved oxygen","interactions":[{"subject":{"id":80045,"text":"twri09A6.2 - 2006 - Chapter A6. Section 6.2. Dissolved oxygen","indexId":"twri09A6.2","publicationYear":"2006","noYear":false,"displayTitle":"Chapter A6. Section 6.2. Dissolved Oxygen","title":"Chapter A6. Section 6.2. Dissolved oxygen"},"predicate":"SUPERSEDED_BY","object":{"id":70215414,"text":"tm9A6.2 - 2020 - Chapter A6.2. Dissolved oxygen","indexId":"tm9A6.2","publicationYear":"2020","noYear":false,"title":"Chapter A6.2. Dissolved oxygen"},"id":1}],"lastModifiedDate":"2020-10-25T17:36:56.65576","indexId":"tm9A6.2","displayToPublicDate":"2020-10-23T11:45:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"9-A6.2","displayTitle":"Chapter A6.2. Dissolved Oxygen","title":"Chapter A6.2. Dissolved oxygen","docAbstract":"<p>The “National Field Manual for the Collection of Water-Quality Data” (NFM) provides guidelines and procedures for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation’s surface water and groundwater resources. This chapter, NFM A6.2, provides guidance and protocols for the measurement of dissolved oxygen, which include the scientific basis of the measurement, selection and maintenance of equipment, calibration, troubleshooting, and procedures for measurement and reporting. It updates and supersedes USGS Techniques of Water-Resources Investigations, book 9, chapter A6.2, version 3.0, by Stewart A, Rounds, Franceska D. Wilde, and George F. Ritz. Dissolved oxygen is routinely measured when water samples are collected, is often continually measured at USGS streamgages, and is a parameter regularly measured during laboratory and field experiments. The field method for measuring dissolved oxygen described in this chapter is applicable to most natural waters.</p><p>Before 2017, the USGS NFM chapters were released in the USGS Techniques of Water-Resources Investigations series. Effective in 2018, new and revised NFM chapters are being released in the USGS Techniques and Methods series; this series change does not affect the content and format of the NFM. More information is in the general introduction to the NFM (USGS Techniques and Methods, book 9, chapter A0—U.S. Geological Survey, 2018) at <a href=\"https://doi.org/10.3133/tm9A0\" data-mce-href=\"https://doi.org/10.3133/tm9A0\">https://doi.org/10.3133/tm9A0</a>. The authoritative current versions of NFM chapters are available in the USGS Publications Warehouse at <a href=\"https://pubs.er.usgs.gov\" data-mce-href=\"../\">https://pubs.er.usgs.gov</a>. Comments, questions, and suggestions related to the NFM can be addressed to <a href=\"mailto:nfm@usgs.gov\" data-mce-href=\"mailto:nfm@usgs.gov\">nfm@usgs.gov</a>.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: National field manual for the collection of water-quality data in <em>Book 9: Handbooks for water-resources investigations</em>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A6.2","usgsCitation":"U.S. Geological Survey, 2020, Chapter A6.2. Dissolved oxygen: U.S. Geological Survey Techniques and Methods 9-A6.2, vi, 33 p., https://doi.org/10.3133/tm9A6.2.","productDescription":"vi, 33 p.","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-112251","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":379603,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/tm9A0","text":"Techniques and Methods 9-A0","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- General introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":379506,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a6.2/coverthb.jpg"},{"id":379509,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a6.2/versionhistory.txt","text":"Version history","size":"2.54 KB","linkFileType":{"id":2,"text":"txt"}},{"id":379507,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a6.2/tm9a6.2.pdf","text":"Report","size":"1.04 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM9-A6.2"}],"contact":"<p>Director, Observing Systems Division<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, MS 432<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>1.0 Introduction</li><li>2.0 Optical (Luminescence) Sensor Method</li><li>3.0 Spectrophotometric (Rhodazine D and Indigo Carmine) Methods</li><li>4.0 Reporting</li><li>5.0 Correction Factors for Oxygen Solubility and Salinity</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Example comparison between spectrophotometric and optical dissolved-oxygen meter data</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"revisedDate":"2020-10-23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128215,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":802103,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70241571,"text":"70241571 - 2020 - Common insecticide disrupts aquatic communities: A mesocosm-to-field ecological risk assessment of fipronil and its degradates in U.S. streams","interactions":[],"lastModifiedDate":"2023-03-23T16:02:01.162102","indexId":"70241571","displayToPublicDate":"2020-10-23T10:54:22","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Common insecticide disrupts aquatic communities: A mesocosm-to-field ecological risk assessment of fipronil and its degradates in U.S. streams","docAbstract":"<p><span>Insecticides in streams are increasingly a global concern, yet information on safe concentrations for aquatic ecosystems is sparse. In a 30-day mesocosm experiment exposing native benthic aquatic invertebrates to the common insecticide fipronil and four degradates, fipronil compounds caused altered emergence and trophic cascades. Effect concentrations eliciting a 50% response (EC</span><sub>50</sub><span>) were developed for fipronil and its sulfide, sulfone, and desulfinyl degradates; taxa were insensitive to fipronil amide. Hazard concentrations for 5% of affected species derived from up to 15 mesocosm EC</span><sub>50</sub><span>&nbsp;values were used to convert fipronil compound concentrations in field samples to the sum of toxic units (∑TU</span><sub>Fipronils</sub><span>). Mean ∑TU</span><sub>Fipronils</sub><span>&nbsp;exceeded 1 (indicating toxicity) in 16% of streams sampled from five regional studies. The Species at Risk invertebrate metric was negatively associated with ∑TU</span><sub>Fipronils</sub><span>&nbsp;in four of five regions sampled. This ecological risk assessment indicates that low concentrations of fipronil compounds degrade stream communities in multiple regions of the United States.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.abc1299","usgsCitation":"Miller, J., Schmidt, T., Van Metre, P.C., Mahler, B., Sandstrom, M.W., Nowell, L.H., Carlisle, D.M., and Moran, P.W., 2020, Common insecticide disrupts aquatic communities: A mesocosm-to-field ecological risk assessment of fipronil and its degradates in U.S. streams: Science Advances, v. 6, no. 43, https://doi.org/10.1126/sciadv.abc1299.","productDescription":"eabc1299, 12 p.","startPage":"eabc1299","ipdsId":"IP-114600","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":454979,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.abc1299","text":"Publisher Index Page"},{"id":436746,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XR80GW","text":"USGS data release","linkHelpText":"Data set for an ecological risk assessment of Firpronil compounds in US streams"},{"id":414623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"43","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Janet L.","contributorId":239985,"corporation":false,"usgs":false,"family":"Miller","given":"Janet L.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":867352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. 0000-0001-7564-9814","orcid":"https://orcid.org/0000-0001-7564-9814","contributorId":211144,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":867356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nowell, Lisa H. 0000-0001-5417-7264 lhnowell@usgs.gov","orcid":"https://orcid.org/0000-0001-5417-7264","contributorId":490,"corporation":false,"usgs":true,"family":"Nowell","given":"Lisa","email":"lhnowell@usgs.gov","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":867357,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":867358,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867359,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216563,"text":"70216563 - 2020 - A large database supports the use of simple models of post-fire tree mortality for thick-barked conifers, with less support for other species","interactions":[],"lastModifiedDate":"2020-11-25T15:25:24.210332","indexId":"70216563","displayToPublicDate":"2020-10-23T09:22:37","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A large database supports the use of simple models of post-fire tree mortality for thick-barked conifers, with less support for other species","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Predictive models of post-fire tree and stem mortality are vital for management planning and understanding fire effects. Post-fire tree and stem mortality have been traditionally modeled as a simple empirical function of tree defenses (<i>e.g.,</i><span>&nbsp;</span>bark thickness) and fire injury (<i>e.g.,</i><span>&nbsp;</span>crown scorch). We used the Fire and Tree Mortality database (FTM)—which includes observations of tree mortality in obligate seeders and stem mortality in basal resprouting species from across the USA—to evaluate the accuracy of post-fire mortality models used in the First Order Fire Effects Model (FOFEM) software system. The basic model in FOFEM, the Ryan and Amman (R-A) model, uses bark thickness and percentage of crown volume scorched to predict post-fire mortality and can be applied to any species for which bark thickness can be calculated (184 species-level coefficients are included in the program). FOFEM (v6.7) also includes 38 species-specific tree mortality models (26 for gymnosperms, 12 for angiosperms), with unique predictors and coefficients. We assessed accuracy of the R-A model for 44 tree species and accuracy of 24 species-specific models for 13 species, using data from 93 438 tree-level observations and 351 fires that occurred from 1981 to 2016.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>For each model, we calculated performance statistics and provided an assessment of the representativeness of the evaluation data. We identified probability thresholds for which the model performed best, and the best thresholds with either ≥80% sensitivity or specificity. Of the 68 models evaluated, 43 had Area Under the Receiver Operating Characteristic Curve (AUC) values ≥0.80, indicating excellent performance, and 14 had AUCs &lt;0.7, indicating poor performance. The R-A model often over-predicted mortality for angiosperms; 5 of 11 angiosperms had AUCs &lt;0.7. For conifers, R-A over-predicted mortality for thin-barked species and for small diameter trees. The species-specific models had significantly higher AUCs than the R-A models for 10 of the 22 models, and five additional species-specific models had more balanced errors than R-A models, even though their AUCs were not significantly different or were significantly lower.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Approximately 75% of models tested had acceptable, excellent, or outstanding predictive ability. The models that performed poorly were primarily models predicting stem mortality of angiosperms or tree mortality of thin-barked conifers. This suggests that different approaches—such as different model forms, better estimates of bark thickness, and additional predictors—may be warranted for these taxa. Future data collection and research should target the geographical and taxonomic data gaps and poorly performing models identified in this study. Our evaluation of post-fire tree mortality models is the most comprehensive effort to date and allows users to have a clear understanding of the expected accuracy in predicting tree death from fire for 44 species.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-020-00082-0","usgsCitation":"Cansler, C., Hood, S.M., van Mantgem, P., and Varner, J.M., 2020, A large database supports the use of simple models of post-fire tree mortality for thick-barked conifers, with less support for other species: Fire Ecology, v. 16, 25, 37 p., https://doi.org/10.1186/s42408-020-00082-0.","productDescription":"25, 37 p.","ipdsId":"IP-115072","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":454980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-020-00082-0","text":"Publisher Index Page"},{"id":380782,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2020-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cansler, C. Alina","contributorId":245203,"corporation":false,"usgs":false,"family":"Cansler","given":"C. Alina","affiliations":[{"id":49115,"text":"USDA Forest Service, Rocky Mountain Research Station, Fire, Fuel, and Smoke Science Program, 5775 US Highway 10 W, Missoula, Montana, 59808, USA","active":true,"usgs":false}],"preferred":false,"id":805617,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":805618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":805619,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varner, J. Morgan 0000-0003-3781-5839","orcid":"https://orcid.org/0000-0003-3781-5839","contributorId":244802,"corporation":false,"usgs":false,"family":"Varner","given":"J.","email":"","middleInitial":"Morgan","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":805620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70215983,"text":"70215983 - 2020 - Double exposure and dynamic vulnerability: Assessing economic well-being, ecological change and the development of the oil and gas industry in coastal Louisiana","interactions":[],"lastModifiedDate":"2020-11-02T14:02:27.322344","indexId":"70215983","displayToPublicDate":"2020-10-23T07:58:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"Double exposure and dynamic vulnerability: Assessing economic well-being, ecological change and the development of the oil and gas industry in coastal Louisiana","docAbstract":"The oil and gas industry has been a powerful driver of economic change in coastal Louisiana for the latter half of the 20th century and into the 21st. Yet, the overall impact of the industry on the economic well-being of host communities is varied, both spatially and temporally. While the majority of Louisiana’s oil and gas production now occurs offshore, processing the extracted product is an energy-intensive undertaking requiring an expansive network of land-based infrastructure. Despite the positive economic aspects of this development, there are also potential negatives posed to coastal ecosystems and to communities located adjacent to oil and gas infrastructure. This research utilizes a double exposure framework to explore the relationship between oil and gas infrastructure development, fish and shellfish habitat, and economic well-being in Louisiana’s coastal zone from 1950 to 2010. The approach followed four main steps: (1) Developing a hazardousness of place model to identify areas of magnified risk due to the combined hazards of multiple potential exposure sites related to the extraction and processing of crude oil and natural gas; (2) developing a model of ecological functioning to measure the ability of aquatic habitat to support key fish and shellfish species; (3) utilizing an integrated community economic well-being index to assess change on a decadal timescale; and (4) analyzing selected oil-dependent communities to illustrate how change processes occurring in different energy sectors result in differential outcomes. The results suggest that, for many communities, the dependence on the oil and gas industry has increased economic well-being but also increased sensitivity to natural and human-induced changes, including fluctuating economic conditions, environmental stress, coastal habitat destruction, and increasing social and economic pressures.","language":"English","publisher":"American Shore and Beach Preservation Association (ASBPA)","doi":"10.34237/1008819","usgsCitation":"Hemmerling, S., Carruthers, T., Hijuelos, A., and Bienn, H.C., 2020, Double exposure and dynamic vulnerability: Assessing economic well-being, ecological change and the development of the oil and gas industry in coastal Louisiana: Shore & Beach, v. 88, no. 1, p. 72-82, https://doi.org/10.34237/1008819.","productDescription":"11 p.","startPage":"72","endPage":"82","ipdsId":"IP-112627","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":380018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.779296875,\n              28.43971381702788\n            ],\n            [\n              -89.05517578125,\n              28.43971381702788\n            ],\n            [\n              -89.05517578125,\n              30.543338954230222\n            ],\n            [\n              -93.779296875,\n              30.543338954230222\n            ],\n            [\n              -93.779296875,\n              28.43971381702788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hemmerling, Scott","contributorId":221274,"corporation":false,"usgs":false,"family":"Hemmerling","given":"Scott","affiliations":[],"preferred":false,"id":803667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":803668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":201525,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":803669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bienn, Harris C.","contributorId":244280,"corporation":false,"usgs":false,"family":"Bienn","given":"Harris","email":"","middleInitial":"C.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":803670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216901,"text":"70216901 - 2020 - Deglaciation of the Puget Lowland, Washington","interactions":[],"lastModifiedDate":"2020-12-15T14:01:57.735661","indexId":"70216901","displayToPublicDate":"2020-10-23T07:57:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7469,"text":"GSA Special Paper 548","active":true,"publicationSubtype":{"id":10}},"title":"Deglaciation of the Puget Lowland, Washington","docAbstract":"<div class=\"widget widget-BookChapterMainView widget-instance-BookChapterMainView\"><div class=\"content-inner-wrap\"><div class=\"book-chapter-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-BookSectionsText widget-instance-BookChaptertext\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"BookSectionsText\"><div class=\"category-section content-section js-content-section\" data-statsid=\"128502159\"><p>Recently obtained radiocarbon ages from the southern Puget Lowland and reevaluation of limiting ages from the Olympic Peninsula in the light of new light detection and ranging (LiDAR) data suggest that the Juan de Fuca and Puget lobes of the Cordilleran ice sheet reached their maximum extents after 16,000 calibrated yr B.P. Source areas for both lobes fed through a common conduit, likely requiring that downstream responses to changes in either source area were similar. Dates for ice-sheet retreat are sparse and contradictory, but they suggest that retreat was rapid. Depositional and geomorphic evidence shows that retreat of the Juan de Fuca lobe predated retreat of the Puget lobe. No recessional end moraines have been identified in the Puget Lowland, in contrast to numerous recessional end moraines constructed by the Okanogan lobe east of the Cascade Range, and in contrast to later ice-sheet retreat in western Whatcom County north of the Puget Lowland. These observations lead to the hypothesis that collapse of the Juan de Fuca lobe, hastened by the instability of a marine-based ice sheet, steepened the ice-sheet surface over the eastern Strait of Juan de Fuca and diverted ice flow upstream of the Puget lobe to the west. Starved of ice, the Puget lobe retreated quickly.</p></div></div></div></div></div></div></div></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2020.2548(14)","usgsCitation":"Haugerud, R.A., 2020, Deglaciation of the Puget Lowland, Washington: GSA Special Paper 548, 20 p., https://doi.org/10.1130/2020.2548(14).","productDescription":"20 p.","ipdsId":"IP-077479","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":454982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2020.2548(14)","text":"Publisher Index Page"},{"id":381323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Lowland","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.31604003906251,\n              47.00273390667881\n            ],\n            [\n              -121.212158203125,\n              47.00273390667881\n            ],\n            [\n              -121.212158203125,\n              47.96785877999251\n            ],\n            [\n              -123.31604003906251,\n              47.96785877999251\n            ],\n            [\n              -123.31604003906251,\n              47.00273390667881\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haugerud, Ralph A. 0000-0001-7302-4351","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":204669,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":806876,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70217197,"text":"70217197 - 2020 - Larval diet of the rare caddisfly Glyphopsyche missouri (Trichoptera: Limnephilidae) in Missouri, USA","interactions":[],"lastModifiedDate":"2021-01-12T13:45:32.803185","indexId":"70217197","displayToPublicDate":"2020-10-23T07:44:20","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3152,"text":"Proceedings of the Entomological Society of Washington","active":true,"publicationSubtype":{"id":10}},"title":"Larval diet of the rare caddisfly Glyphopsyche missouri (Trichoptera: Limnephilidae) in Missouri, USA","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"BioOne","doi":"10.4289/0013-8797.122.4.1026","usgsCitation":"Rhodes, R.G., Poulton, B.C., Mabee, W.R., and Bowles, D.E., 2020, Larval diet of the rare caddisfly Glyphopsyche missouri (Trichoptera: Limnephilidae) in Missouri, USA: Proceedings of the Entomological Society of Washington, v. 122, no. 4, p. 1026-1030, https://doi.org/10.4289/0013-8797.122.4.1026.","productDescription":"5 p.","startPage":"1026","endPage":"1030","ipdsId":"IP-119829","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":382095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70219095,"text":"70219095 - 2020 - Diverse cataclysmic floods from Pleistocene glacial Lake Missoula","interactions":[],"lastModifiedDate":"2021-04-27T11:52:46.725403","indexId":"70219095","displayToPublicDate":"2020-10-23T07:32:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7779,"text":"GSA Special Volume on Pleistocene megafloods","active":true,"publicationSubtype":{"id":10}},"title":"Diverse cataclysmic floods from Pleistocene glacial Lake Missoula","docAbstract":"<p>In late Wisconsin time, the Purcell Trench lobe of the Cordilleran ice sheet dammed the Clark Fork of the Columbia River in western Montana, creating glacial Lake Missoula. During part of this epoch, the Okanogan lobe also dammed the Columbia River downstream, creating glacial Lake Columbia in northeast Washington. Repeated failure of the Purcell Trench ice dam released glacial Lake Missoula, causing dozens of catastrophic floods in eastern Washington that can be distinguished by the geologic record they left behind. These floods removed tens of meters of pale loess from dark basalt substrate, forming scars along flowpaths visible from space.</p><p>Different positions of the Okanogan lobe are required for modeled Missoula floods to inundate the diverse channels that show field evidence for flooding, as shown by accurate dam-break flood modeling using a roughly 185 m digital terrain model of existing topography (with control points dynamically varied using automatic mesh refinement). The maximum extent of the Okanogan lobe, which blocked inundation of the upper Grand Coulee and the Columbia River valley, is required to flood all channels in the Telford scablands and to produce highest flood stages in Pasco Basin. Alternatively, the Columbia River valley must have been open and the upper Grand Coulee blocked to nearly match evidence for high water on Pangborn bar near Wenatchee, Washington, and to flood Quincy Basin from the west. Finally, if the Columbia River valley and upper Grand Coulee were both open, Quincy Basin would have flooded from the northeast.</p><p>In all these scenarios, the discrepancy between modeled flood stages and field evidence for maximum flood stages increases in all channels downstream, from Spokane to Umatilla Basin. The pattern of discrepancies indicates that bulking of floods by loess increased flow volume across the scablands, but this alone does not explain low modeled flow stages along the Columbia River valley near Wenatchee. This latter discrepancy between modeled flood stages and field data requires either additional bulking of flow by sediment along the Columbia reach downstream of glacial Lake Columbia, or coincident dam failures of glacial Lake Columbia and glacial Lake Missoula.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2548(17)","usgsCitation":"Denlinger, R.P., George, D.L., Cannon, C.M., O'Connor, J., and Waitt, R.B., 2020, Diverse cataclysmic floods from Pleistocene glacial Lake Missoula: GSA Special Volume on Pleistocene megafloods, v. 548, 18 p., https://doi.org/10.1130/2021.2548(17).","productDescription":"18 p.","ipdsId":"IP-101636","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":384572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Washington","otherGeospatial":"Lake Missoula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.92675781249999,\n              46.08847179577592\n            ],\n            [\n              -113.3349609375,\n              46.08847179577592\n            ],\n            [\n              -113.3349609375,\n              48.22467264956519\n            ],\n            [\n              -119.92675781249999,\n              48.22467264956519\n            ],\n            [\n              -119.92675781249999,\n              46.08847179577592\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"548","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":812746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":812747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":812748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":812749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":812750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215976,"text":"70215976 - 2020 - Geomorphic and sedimentary effects of modern climate change: Current and anticipated future conditions in the western United States","interactions":[],"lastModifiedDate":"2020-12-14T16:49:17.200792","indexId":"70215976","displayToPublicDate":"2020-10-23T07:02:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic and sedimentary effects of modern climate change: Current and anticipated future conditions in the western United States","docAbstract":"<p><span>Hydroclimatic changes associated with global warming over the past 50 years have been documented widely, but physical landscape responses are poorly understood thus far. Detecting sedimentary and geomorphic signals of modern climate change presents challenges owing to short record lengths, difficulty resolving signals in stochastic natural systems, influences of land use and tectonic activity, long‐lasting effects of individual extreme events, and variable connectivity in sediment‐routing systems. We review existing literature to investigate the nature and extent of sedimentary and geomorphic responses to modern climate change, focusing on the western United States, a region with generally high relief and high sediment yield likely to be sensitive to climatic forcing. Based on fundamental geomorphic theory and empirical evidence from other regions, we anticipate climate‐driven changes to slope stability, watershed sediment yields, fluvial morphology, and aeolian sediment mobilization in the western U.S. We find evidence for recent climate‐driven changes to slope stability and increased aeolian dune and dust activity, whereas changes in sediment yields and fluvial morphology have been linked more commonly to non‐climatic drivers thus far. Detecting effects of climate change will require better understanding how landscape response scales with disturbance, how lag times and hysteresis operate within sedimentary systems, and how to distinguish the relative influence and feedbacks of superimposed disturbances. The ability to constrain geomorphic and sedimentary response to rapidly progressing climate change has widespread implications for human health and safety, infrastructure, water security, economics, and ecosystem resilience.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019RG000692","usgsCitation":"East, A.E., and Sankey, J.B., 2020, Geomorphic and sedimentary effects of modern climate change: Current and anticipated future conditions in the western United States: Reviews of Geophysics, v. 58, no. 4, e2019RG000692, 59 p., https://doi.org/10.1029/2019RG000692.","productDescription":"e2019RG000692, 59 p.","ipdsId":"IP-115204","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":454985,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019rg000692","text":"Publisher Index Page"},{"id":380009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.5078125,\n              31.052933985705163\n            ],\n            [\n              -103.6669921875,\n              31.052933985705163\n            ],\n            [\n              -103.6669921875,\n              48.951366470947725\n            ],\n            [\n              -125.5078125,\n              48.951366470947725\n            ],\n            [\n              -125.5078125,\n              31.052933985705163\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"58","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":803644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":803645,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227401,"text":"70227401 - 2020 - The nature and composition of the J-M Reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2022-01-13T13:05:12.086133","indexId":"70227401","displayToPublicDate":"2020-10-23T07:02:42","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"The nature and composition of the J-M Reef, Stillwater Complex, Montana, USA","docAbstract":"<div class=\"article-section-wrapper js-article-section js-content-section  \"><p>In this contribution, we analyze 30 years of mine development data and quantitatively identify the processes that control the grade and tenor of the mineralized rock. An assay database of more than 60,000 samples was used to examine variations in ore grade and tenor of the sulfide mineralization in the J-M reef horizon of the Stillwater Complex along the strike and down the dip of the deposit in the area of the Stillwater mine. We compare these results with data from the East Boulder mine and whole-rock lithogeochemistry of samples collected along the entire strike length of the complex. We find significant variation in the composition of the reef sulfides in different spatial domains of the Stillwater mine area and between the Stillwater and East Boulder mines. Most of the variation in the grade and tenor can be explained by a variation in the mass of silicate magma with which the sulfide liquid equilibrated (i.e.,&nbsp;R factor); however, geochemical and textural evidence suggests that parts of the reef may have experienced significant S loss following initial sulfide melt segregation. Some variability in the reef tenor and grade can be attributed to variable amounts of sulfur loss due to low-temperature hydrothermal fluids and the overestimation or underestimation of metal concentrations in reef assays due to the nugget effect. Furthermore, we address the Pd/Pt ratio of the reef samples and suggest that the lower solubility of Pt in the parental silicate melt may have caused the crystallization and removal of Pt alloys at some point before the melt reached sulfide saturation and Pt could partition into the sulfide liquid. This disparity between the prior evolution of Pt and Pd in the silicate melt resulted in the observed Pd/Pt ratio of ~3.65 across all areas of the reef—a value significantly larger than anticipated for primitive mantle-derived magmas.</p></div>","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4777","usgsCitation":"Jenkins, M., Mungall, J.E., Zientek, M., Holick, P., and Butak, K., 2020, The nature and composition of the J-M Reef, Stillwater Complex, Montana, USA: Economic Geology, v. 115, no. 8, p. 1799-1826, https://doi.org/10.5382/econgeo.4777.","productDescription":"28 p.","startPage":"1799","endPage":"1826","ipdsId":"IP-117382","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":394306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.86279296875001,\n              45.089035564831015\n            ],\n            [\n              -108.98437500000001,\n              45.089035564831015\n            ],\n            [\n              -108.98437500000001,\n              45.98169518512228\n            ],\n            [\n              -111.86279296875001,\n              45.98169518512228\n            ],\n            [\n              -111.86279296875001,\n              45.089035564831015\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"115","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":830744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":830745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zientek, Michael L. 0000-0002-8522-9626","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":210763,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":830746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holick, Paul","contributorId":271083,"corporation":false,"usgs":false,"family":"Holick","given":"Paul","email":"","affiliations":[{"id":56274,"text":"Sibanye-Stillwater","active":true,"usgs":false}],"preferred":false,"id":830747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butak, Kevin","contributorId":271084,"corporation":false,"usgs":false,"family":"Butak","given":"Kevin","email":"","affiliations":[{"id":56274,"text":"Sibanye-Stillwater","active":true,"usgs":false}],"preferred":false,"id":830748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215422,"text":"sir20205092 - 2020 - Estimating flood magnitude and frequency on gaged and ungaged streams in Maine","interactions":[{"subject":{"id":15070,"text":"ofr75292 - 1975 - A technique for estimating the magnitude and frequency of floods in Maine","indexId":"ofr75292","publicationYear":"1975","noYear":false,"title":"A technique for estimating the magnitude and frequency of floods in Maine"},"predicate":"SUPERSEDED_BY","object":{"id":70215422,"text":"sir20205092 - 2020 - Estimating flood magnitude and frequency on gaged and ungaged streams in Maine","indexId":"sir20205092","publicationYear":"2020","noYear":false,"title":"Estimating flood magnitude and frequency on gaged and ungaged streams in Maine"},"id":1},{"subject":{"id":27717,"text":"wri994008 - 1999 - Estimating the magnitude of peak flows for streams in Maine for selected recurrence intervals","indexId":"wri994008","publicationYear":"1999","noYear":false,"displayTitle":"Estimating the Magnitude of Peak Flows for Streams in Maine for Selected Recurrence Intervals","title":"Estimating the magnitude of peak flows for streams in Maine for selected recurrence intervals"},"predicate":"SUPERSEDED_BY","object":{"id":70215422,"text":"sir20205092 - 2020 - Estimating flood magnitude and frequency on gaged and ungaged streams in Maine","indexId":"sir20205092","publicationYear":"2020","noYear":false,"title":"Estimating flood magnitude and frequency on gaged and ungaged streams in Maine"},"id":2}],"lastModifiedDate":"2020-10-22T19:40:56.715355","indexId":"sir20205092","displayToPublicDate":"2020-10-22T14:15:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-5092","displayTitle":"Estimating Flood Magnitude and Frequency on Gaged and Ungaged Streams in Maine","title":"Estimating flood magnitude and frequency on gaged and ungaged streams in Maine","docAbstract":"<p>Accurate estimates of flood frequency and magnitude on rivers and streams in Maine are a key component of effective flood risk management, flood mitigation, and flood recovery programs for the State. Flood-frequency estimates are published here for 148 streamgages in and adjacent to Maine. Equations are provided for users to compute flood-frequency estimates at any location on a stream that does not have a streamgage. Estimates and equations are presented for peak flows with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percent. AEPs correspond to flood recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. New estimates use a regional skew coefficient of 0.02 with a standard error of prediction of 0.30 developed specifically for Maine as a part of this work.</p><p>Equations are designed for use at ungaged sites without substantial flow regulation or urbanization in Maine, with drainage areas between 0.26 and 5,680 square miles. The equations were developed from streamflows and basin characteristics at 124 unregulated streamgages using generalized least-squares regression techniques. Explanatory variables used in the equations for computing peak flows are drainage area, percentage of area in the basin that contains wetlands, and basin mean 24-hour rainfall intensities. The average standard error of prediction (ASEP) for these equations ranges from −31.5 to 45.9 percent for the 50-percent AEP and from −34.2 to 52.0 percent for the 0.2-percent AEP. Equations that use only drainage area are provided for use in cases where lower accuracy is acceptable. The ASEP for estimating peak flows with these simpler equations ranges from −40 to 66 percent for the 50-percent AEP and from −44 to 79 percent for the 0.2-percent AEP.</p><p>Final peak flows at unregulated streamgages are computed as weighted averages between the at-station peak flows and peak flows computed at those same sites using the regression equations. Peak flow estimates and equations presented here are accessible in the U.S. Geological Survey StreamStats application. StreamStats is a web application that computes selected basin characteristics and estimates of peak flows and other available streamflow statistics for user-selected streams in Maine.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205092","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Lombard, P.J., and Hodgkins, G.A., 2020, Estimating flood magnitude and frequency on gaged and ungaged streams in Maine: U.S. Geological Survey Scientific Investigations Report 2020–5092, 56 p., https://doi.org/10.3133/sir20205092.","productDescription":"Report: vii, 56 p.; 2 Tables; Data Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-109858","costCenters":[{"id":466,"text":"New England Water Science 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 \"}}]}","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>Data Compilation</li><li>Flood Magnitude and Frequency at Streamgages</li><li>Flood Magnitude and Frequency at Ungaged Sites</li><li>Application and Methods</li><li>Maine StreamStats</li><li>Summary</li><li>Selected References</li><li>Appendix 1. Supplemental Tables Relating to the Regional Regression Analysis</li><li>Glossary</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-10-22","noUsgsAuthors":false,"publicationDate":"2020-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Lombard, Pamela J. 0000-0002-0983-1906","orcid":"https://orcid.org/0000-0002-0983-1906","contributorId":205225,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215521,"text":"fs20203051 - 2020 - Physical and chemical stressors on algal, invertebrate, and fish communities in 14 Milwaukee area streams, 2004–2013","interactions":[],"lastModifiedDate":"2020-10-22T18:57:05.400287","indexId":"fs20203051","displayToPublicDate":"2020-10-22T13:40:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3051","displayTitle":"Physical and Chemical Stressors on Algal, Invertebrate, and Fish Communities in 14 Milwaukee Area Streams, 2004–2013","title":"Physical and chemical stressors on algal, invertebrate, and fish communities in 14 Milwaukee area streams, 2004–2013","docAbstract":"<p>In 2004, the U.S. Geological Survey (USGS) began sampling 14 wadable streams in urban or urbanizing watersheds near Milwaukee, Wisconsin. The overall goal of the study is to assess the health of the aquatic communities in the Milwaukee Metropolitan Sewerage District planning area to inform current and future watershed management. In addition to collection of biological data on aquatic communities, physical and chemical data were also collected to evaluate effects of potential environmental stressors on the aquatic communities. This fact sheet summarizes the primary results of the study from 2004 to 2013. Detailed information is described in Scudder Eikenberry and others (2020a), and all data are available in Scudder Eikenberry and others (2020b; <a data-mce-href=\"https://doi.org/10.5066/P9FWMODL\" href=\"https://doi.org/10.5066/P9FWMODL\">https://doi.org/10.5066/P9FWMODL</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203051","issn":"2327-6932","usgsCitation":"Scudder Eikenberry, B., Nott, M.A., Stewart, J.S., Sullivan, D.J., Alvarez, D.A., Bell, A.H., and Fitzpatrick, F.A., 2020, Physical and chemical stressors on algal, invertebrate, and fish communities in 14 Milwaukee area streams, 2004–2013: U.S. Geological Survey Fact Sheet 2020-3051, 6 p., https://doi.org/10.3133/fs20203051.","productDescription":"Report: 6 p.; Data Release","onlineOnly":"Y","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":379614,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FWMODL","text":"USGS data release","description":"USGS data release","linkHelpText":"Aquatic community and environmental data for 14 rivers and streams in the Milwaukee Metropolitan Sewerage District Planning Area, 2004-13"},{"id":379615,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205035","text":"SIR 2020-5035—","description":"SIR 2020-5035","linkHelpText":"Ecological Status of Aquatic Communities in Selected Streams in the Milwaukee Metropolitan Sewerage District Planning Area of Wisconsin, 2004–13"},{"id":379612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3051/coverthb.jpg"},{"id":379613,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3051/fs20203051.pdf","text":"Report","size":"8.97 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3051"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.1982421875,\n              42.88401467044253\n            ],\n            [\n              -87.84530639648436,\n              42.88401467044253\n            ],\n            [\n              -87.84530639648436,\n              43.313188139196406\n            ],\n            [\n              -88.1982421875,\n              43.313188139196406\n            ],\n            [\n              -88.1982421875,\n              42.88401467044253\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"http://www.usgs.gov/centers/umid-water/locations\" data-mce-href=\"http://www.usgs.gov/centers/umid-water/locations\">Upper Midwest Water Science Center</a><br>U.S. Geological Survey<br>8505 Research Way<br>Middleton, WI 53562</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Health of Aquatic Communities Varied Between 2004 and 2013</li><li>Aggregate Metrics Provide Insights to Overall Stream Stressors</li><li>Urban Stressors on Aquatic Communities were Physical and Chemical</li><li>Summary</li><li>References Cited</li></ul>","publishedDate":"2020-10-22","noUsgsAuthors":false,"publicationDate":"2020-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Eikenberry, Barbara C. Scudder 0000-0001-8058-1201 beikenberry@usgs.gov","orcid":"https://orcid.org/0000-0001-8058-1201","contributorId":191732,"corporation":false,"usgs":true,"family":"Eikenberry","given":"Barbara","email":"beikenberry@usgs.gov","middleInitial":"C. Scudder","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nott, Michelle A. 0000-0003-3968-7586","orcid":"https://orcid.org/0000-0003-3968-7586","contributorId":221766,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jana S. 0000-0002-8121-1373 jsstewar@usgs.gov","orcid":"https://orcid.org/0000-0002-8121-1373","contributorId":539,"corporation":false,"usgs":true,"family":"Stewart","given":"Jana","email":"jsstewar@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Daniel J. 0000-0003-2705-3738 djsulliv@usgs.gov","orcid":"https://orcid.org/0000-0003-2705-3738","contributorId":1703,"corporation":false,"usgs":true,"family":"Sullivan","given":"Daniel","email":"djsulliv@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez, David A. 0000-0002-6918-2709 dalvarez@usgs.gov","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":1369,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","email":"dalvarez@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":802584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Amanda H. 0000-0002-7199-2145 ahbell@usgs.gov","orcid":"https://orcid.org/0000-0002-7199-2145","contributorId":1752,"corporation":false,"usgs":true,"family":"Bell","given":"Amanda","email":"ahbell@usgs.gov","middleInitial":"H.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802585,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":127794,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802586,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215611,"text":"70215611 - 2020 - River network and reach‐scale controls on habitat for lamprey larvae in the Umpqua River Basin, Oregon","interactions":[],"lastModifiedDate":"2020-12-29T21:41:23.891072","indexId":"70215611","displayToPublicDate":"2020-10-22T10:24:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"River network and reach‐scale controls on habitat for lamprey larvae in the Umpqua River Basin, Oregon","docAbstract":"<p><span>This study developed a spatially explicit framework to support the conservation of Western Brook Lamprey&nbsp;</span><i>Lampetra richardsoni</i><span>&nbsp;and Pacific Lamprey&nbsp;</span><i>Entosphenus tridentatus</i><span>&nbsp;in the Umpqua River basin, Oregon. This framework identified locations within the river network likely to support “potential burrowing habitat” for lamprey larvae based on geomorphic conditions and evaluated the overlap of potential burrowing habitat with water temperatures suitable for the nonnative, piscivorous Smallmouth Bass&nbsp;</span><i>Micropterus dolomieu</i><span>. The study also documented reach‐scale factors that create heterogeneity in potential burrowing habitat to guide on‐the‐ground habitat restoration. Based on criteria for mean annual suspended sediment loads and channel slope, 18% of the Umpqua River network was classified as potential burrowing habitat. Existing mean August water temperatures of ≥20°C were suitable for Smallmouth Bass for 32% of the potential burrowing habitat. This percentage increased to 41% of the potential burrowing habitat using projected mean August water temperatures for year 2040, suggesting that water temperatures in the future will facilitate upstream expansion of Smallmouth Bass into the potential burrowing habitat. At finer spatial scales, potential burrowing habitat was influenced by channel features, such as large wood, pools, and local channel slope and width. These results provide an initial template for identifying locations in river networks likely to have potential burrowing habitat, considering the overlap between threats and lamprey habitats, and planning conservation actions to support native lampreys.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10487","usgsCitation":"Jones, K., Dunham, J.B., O'Connor, J., Keith, M.K., Mangano, J.F., Coates, K., and Mackie, T., 2020, River network and reach‐scale controls on habitat for lamprey larvae in the Umpqua River Basin, Oregon: North American Journal of Fisheries Management, v. 40, no. 6, p. 1400-1416, https://doi.org/10.1002/nafm.10487.","productDescription":"17 p.","startPage":"1400","endPage":"1416","ipdsId":"IP-109592","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":454987,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10487","text":"Publisher Index Page"},{"id":436747,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CXSCK4","text":"USGS data release","linkHelpText":"Geomorphic and larval lamprey surveys in tributaries of the Umpqua River, Oregon"},{"id":379761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umpqua River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.1290283203125,\n              42.40317854182803\n            ],\n            [\n              -121.3275146484375,\n              42.40317854182803\n            ],\n            [\n              -121.3275146484375,\n             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jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":802964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":802965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keith, Mackenzie K. 0000-0002-7239-0576 mkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-7239-0576","contributorId":196963,"corporation":false,"usgs":true,"family":"Keith","given":"Mackenzie","email":"mkeith@usgs.gov","middleInitial":"K.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangano, Joseph F. 0000-0003-4213-8406 jmangano@usgs.gov","orcid":"https://orcid.org/0000-0003-4213-8406","contributorId":4722,"corporation":false,"usgs":true,"family":"Mangano","given":"Joseph","email":"jmangano@usgs.gov","middleInitial":"F.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":802967,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coates, Kelly","contributorId":244008,"corporation":false,"usgs":false,"family":"Coates","given":"Kelly","affiliations":[],"preferred":false,"id":803016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mackie, Travis","contributorId":244009,"corporation":false,"usgs":false,"family":"Mackie","given":"Travis","email":"","affiliations":[],"preferred":false,"id":803017,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215132,"text":"70215132 - 2020 - Spectral wave-driven bedload transport across a coral reef flat/lagoon complex","interactions":[],"lastModifiedDate":"2020-10-29T15:04:55.965749","indexId":"70215132","displayToPublicDate":"2020-10-22T10:04:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Spectral wave-driven bedload transport across a coral reef flat/lagoon complex","docAbstract":"<div class=\"JournalAbstract\"><p>Coral reefs are an important source of sediment for reef-lined coasts by helping to maintain beaches while also providing protection in the form of wave energy dissipation. Understanding the mechanisms by which sediment is delivered to the coast as well as better constraining the total volumes generated are critical for projecting future coastal change. A month-long hydrodynamics and sediment transport study on a fringing reef/lagoon complex in Western Australia indicates that lower frequency constituents of wave energy are important to the total bedload transport of sediment across the reef flat and lagoon to the shoreline. The reef flat and the lagoon are characterized by distinctly different transport regimes, resulting in an offset in the timing of bedform migration between the two. Short-term storage of sediment is noted on the reef flat, which is subsequently washed out into the lagoon when offshore wave heights increase and strong currents due to wave breaking at the reef crest develop. This sudden influx of sediment is a significant control on bedform migration rates in the lagoon. Infragravity wave energy on the reef flat and lagoon make an important contribution to the migration of bedforms and resultant bedload transport. Given the complexity of the hydrodynamics of fringing reefs, the transfer of energy to lower frequency bands, as well as accurate estimates of sources and sinks of sediment, must but considered in order to correctly model the transport of sediment from the reef to the coast.</p></div>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2020.513020","usgsCitation":"Rosenberger, K.J., Storlazzi, C., Cheriton, O.M., Pomeroy, A., Hansen, J.E., Lowe, R., and Buckley, M., 2020, Spectral wave-driven bedload transport across a coral reef flat/lagoon complex: Frontiers in Marine Science, v. 7, 513020, 17 p., https://doi.org/10.3389/fmars.2020.513020.","productDescription":"513020, 17 p.","ipdsId":"IP-118610","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454989,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.513020","text":"Publisher Index Page"},{"id":379220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Ningaloo Reef","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              113.88736724853516,\n              -21.985711562504203\n            ],\n            [\n              114.04151916503906,\n              -21.985711562504203\n            ],\n            [\n              114.04151916503906,\n              -21.812102041490473\n            ],\n            [\n              113.88736724853516,\n              -21.812102041490473\n            ],\n            [\n              113.88736724853516,\n              -21.985711562504203\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":800966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":229614,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":800968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pomeroy, Andrew","contributorId":182033,"corporation":false,"usgs":false,"family":"Pomeroy","given":"Andrew","affiliations":[],"preferred":false,"id":800969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Jeff E.","contributorId":204340,"corporation":false,"usgs":false,"family":"Hansen","given":"Jeff","email":"","middleInitial":"E.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":true,"id":800970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lowe, Ryan","contributorId":177845,"corporation":false,"usgs":false,"family":"Lowe","given":"Ryan","affiliations":[],"preferred":false,"id":800971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buckley, Mark","contributorId":6695,"corporation":false,"usgs":true,"family":"Buckley","given":"Mark","affiliations":[],"preferred":false,"id":800972,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70215980,"text":"70215980 - 2020 - Predicting multi-species foraging hotspots for marine turtles in the Gulf of Mexico","interactions":[],"lastModifiedDate":"2020-11-02T14:30:05.334293","indexId":"70215980","displayToPublicDate":"2020-10-22T08:23:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Predicting multi-species foraging hotspots for marine turtles in the Gulf of Mexico","docAbstract":"<p class=\"abstract_block\">Quantifying the distribution of animals and identifying underlying characteristics that define suitable habitat are essential for effective conservation of free-ranging species. Prioritizing areas for conservation is important in managing a geographic extent that has a high level of disturbance and limited conservation resources. We examined the potential use of a species distribution model ensemble for multi-species conservation in marine habitats. Using satellite telemetry locations during foraging as input data, and ensemble ecological niche models, we predicted foraging areas for 2 nesting marine turtle species within the Gulf of Mexico (GoM): Kemp’s ridley<span>&nbsp;</span><i>Lepidochelys kempii</i><span>&nbsp;</span>(n = 63) and loggerhead<span>&nbsp;</span><i>Caretta caretta</i><span>&nbsp;</span>(n = 63). We considered 7 geophysical, biological, and climatic variables and compared contributing factors for each species’ foraging habitat selection. For both species, predicted suitable foraging habitats encompassed large areas along the GoM coast, but only intersected with each other in relatively small areas. Highly parameterized models resulted in overall greater fits, suggesting that multiple factors influence habitat selection by these species. Model validation results were mixed: cross-validation resulted in high prediction accuracy for both species, but an evaluation against independent data resulted in a low omission rate (5%) for Kemp’s ridleys and a high omission rate (72%) for loggerheads. The relatively small intersection of model-predicted foraging areas for these 2 species within the study area may indicate possible niche differentiations. The high omission rate for loggerheads indicates our samples likely underrepresent the population and illustrates the challenges in predicting suitable foraging extents for species that make dynamic movements and have greater individual variability.</p>","language":"English","publisher":"Inter Research","doi":"10.3354/esr01059","usgsCitation":"Fujisaki, I., Hart, K., Bucklin, D.N., Iverson, A., Rubio, C., Lamont, M.M., Miron, R.D., Burchfield, P., Pena, J., and Shaver, D.J., 2020, Predicting multi-species foraging hotspots for marine turtles in the Gulf of Mexico: Endangered Species Research, v. 43, p. 253-266, https://doi.org/10.3354/esr01059.","productDescription":"14 p.","startPage":"253","endPage":"266","ipdsId":"IP-120330","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":454990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01059","text":"Publisher Index Page"},{"id":380022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.701171875,\n              21.779905342529645\n            ],\n            [\n              -96.0205078125,\n              18.22935133838668\n            ],\n            [\n              -93.2958984375,\n              17.518344187852218\n            ],\n            [\n              -91.0546875,\n              18.104087015773956\n            ],\n            [\n              -80.5517578125,\n              24.966140159912975\n            ],\n            [\n              -82.6171875,\n              30.977609093348686\n            ],\n        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