{"pageNumber":"1009","pageRowStart":"25200","pageSize":"25","recordCount":184689,"records":[{"id":70184214,"text":"70184214 - 2017 - Pyrogenic carbon distribution in mineral topsoils of the northeastern United States","interactions":[],"lastModifiedDate":"2025-05-14T19:05:53.709545","indexId":"70184214","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Pyrogenic carbon distribution in mineral topsoils of the northeastern United States","docAbstract":"<p><span>Due to its slow turnover rates in soil, pyrogenic carbon (PyC) is considered an important C pool and relevant to climate change processes. Therefore, the amounts of soil PyC were compared to environmental covariates over an area of 327,757&nbsp;km</span><sup>2</sup><span> in the northeastern United States in order to understand the controls on PyC distribution over large areas. Topsoil (defined as the soil A horizon, after removal of any organic horizons) samples were collected at 165 field sites in a generalised random tessellation stratified design that corresponded to approximately 1 site per 1600&nbsp;km</span><sup>2</sup><span> and PyC was estimated from diffuse reflectance mid-infrared spectroscopy measurements using a partial least-squares regression analysis in conjunction with a large database of PyC measurements based on a solid-state </span><sup>13</sup><span>C nuclear magnetic resonance spectroscopy technique. Three spatial models were applied to the data in order to relate critical environmental covariates to the changes in spatial density of PyC over the landscape. Regional mean density estimates of PyC were 11.0&nbsp;g&nbsp;kg</span><sup>−&nbsp;1</sup><span> (0.84&nbsp;Gg&nbsp;km</span><sup>−&nbsp;2</sup><span>) for Ordinary Kriging, 25.8&nbsp;g&nbsp;kg</span><sup>−&nbsp;1</sup><span>(12.2&nbsp;Gg&nbsp;km</span><sup>−&nbsp;2</sup><span>) for Multivariate Linear Regression, and 26.1&nbsp;g&nbsp;kg</span><sup>−&nbsp;1</sup><span> (12.4&nbsp;Gg&nbsp;km</span><sup>−&nbsp;2</sup><span>) for Bayesian Regression Kriging. Akaike Information Criterion (AIC) indicated that the Multivariate Linear Regression model performed best (AIC&nbsp;=&nbsp;842.6; n&nbsp;=&nbsp;165) compared to Ordinary Kriging (AIC&nbsp;=&nbsp;982.4) and Bayesian Regression Kriging (AIC&nbsp;=&nbsp;979.2). Soil PyC concentrations correlated well with total soil sulphur (P&nbsp;&lt;&nbsp;0.001; n&nbsp;=&nbsp;165), plant tissue lignin (P&nbsp;=&nbsp;0.003), and drainage class (P&nbsp;=&nbsp;0.008). This suggests the opportunity of including related environmental parameters in the spatial assessment of PyC in soils. Better estimates of the contribution of PyC to the global carbon cycle will thus also require more accurate assessments of these covariates.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"New York, NY","doi":"10.1016/j.geoderma.2017.02.022","usgsCitation":"Jauss, V., Sullivan, P.J., Sanderman, J., Smith, D.B., and Lehmann, J., 2017, Pyrogenic carbon distribution in mineral topsoils of the northeastern United States: Geoderma, v. 296, p. 69-78, https://doi.org/10.1016/j.geoderma.2017.02.022.","productDescription":"10 p.","startPage":"69","endPage":"78","ipdsId":"IP-081130","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":488415,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geoderma.2017.02.022","text":"Publisher Index 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dsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8396-9105","contributorId":138565,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"dsmith@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":680577,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lehmann, Johannes","contributorId":187478,"corporation":false,"usgs":false,"family":"Lehmann","given":"Johannes","email":"","affiliations":[],"preferred":false,"id":680581,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184211,"text":"70184211 - 2017 - Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed","interactions":[],"lastModifiedDate":"2017-10-04T10:15:55","indexId":"70184211","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed","docAbstract":"<p><span>The risks to wildlife and humans from uranium (U) mining in the Grand Canyon watershed are largely unknown. In addition to U, other co-occurring ore constituents contribute to risks to biological receptors depending on their toxicological profiles. This study characterizes the pre-mining concentrations of total arsenic (As), cadmium (Cd), copper (Cu), lead (Pb), mercury (Hg), nickel (Ni), selenium (Se), thallium (Tl), U, and zinc (Zn); radiation levels; and histopathology in biota (vegetation, invertebrates, amphibians, birds, and mammals) at the Canyon Mine. Gross alpha levels were below the reporting limit (4 pCi/g) in all samples, and gross beta levels were indicative of background in vegetation (&lt;10–17 pCi/g) and rodents (&lt;10–43.5 pCi/g). Concentrations of U, Tl, Pb, Ni, Cu, and As in vegetation downwind from the mine were likely the result of aeolian transport. Chemical concentrations in rodents and terrestrial invertebrates indicate that surface disturbance during mine construction has not resulted in statistically significant spatial differences in fauna concentrations adjacent to the mine. Chemical concentrations in egg contents and nestlings of non-aquatic birds were less than method quantification limits or did not exceed toxicity thresholds. Bioaccumulation of As, Pb, Se, Tl, and U was evident in Western spadefoot (</span><i class=\"EmphasisTypeItalic \">Spea multiplicata</i><span>) tadpoles from the mine containment pond; concentrations of As (28.9–31.4&nbsp;μg/g) and Se (5.81–7.20&nbsp;μg/g) exceeded toxicity values and were significantly greater than in tadpoles from a nearby water source. Continued evaluation of As and Se in biota inhabiting and forging in the mine containment pond is warranted as mining progresses.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-5765-1","usgsCitation":"Hinck, J.E., Cleveland, D.M., Brumbaugh, W.G., Linder, G., and Lankton, J.S., 2017, Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed: Environmental Monitoring and Assessment, v. 189, no. 56, 23 p., https://doi.org/10.1007/s10661-017-5765-1.","productDescription":"23 p.","ipdsId":"IP-075531","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":336813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":337739,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QF8R16","text":"Chemistry, radiation and histopathology data in support of manuscript \"Pre-mining trace element and radiation exposure to biota from a breccia pipe uranium mine in the Grand Canyon (Arizona, USA) watershed\""}],"country":"United States","state":"Arizona","county":"Coconino County","otherGeospatial":"Canyon Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.101944,\n              35.886111\n            ],\n            [\n              -112.091111,\n              35.886111\n            ],\n            [\n              -112.091111,\n              35.877778\n            ],\n            [\n              -112.101944,\n              35.877778\n            ],\n            [\n              -112.101944,\n              35.886111\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"189","issue":"56","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"58ba8ebbe4b0bcef64f0b931","contributors":{"authors":[{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680565,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linder, Greg linder2@usgs.gov","contributorId":187472,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":680566,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":680573,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70185256,"text":"70185256 - 2017 - Volcanic ash supports a diverse bacterial community in a marine mesocosm","interactions":[],"lastModifiedDate":"2017-04-19T16:05:55","indexId":"70185256","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1751,"text":"Geobiology","active":true,"publicationSubtype":{"id":10}},"title":"Volcanic ash supports a diverse bacterial community in a marine mesocosm","docAbstract":"Shallow-water coral reef ecosystems, particularly those already impaired by anthropogenic pressures, may be highly sensitive to disturbances from natural catastrophic events, such as volcanic eruptions. Explosive volcanic eruptions expel large quantities of silicate ash particles into the atmosphere, which can disperse across millions of square kilometres and deposit into coral reef ecosystems. Following heavy ash deposition, mass mortality of reef biota is expected, but little is known about the recovery of post-burial reef ecosystems. Reef regeneration depends partly upon the capacity of the ash deposit to be colonised by waterborne bacterial communities and may be influenced to an unknown extent by the physiochemical properties of the ash substrate itself. To determine the potential for volcanic ash to support pioneer bacterial colonisation, we exposed five well-characterised volcanic and coral reef substrates to a marine aquarium under low light conditions for 3 months: volcanic ash, synthetic volcanic glass, carbonate reef sand, calcite sand and quartz sand. Multivariate statistical analysis of Automated Ribosomal Intergenic Spacer Analysis (ARISA) fingerprinting data demonstrates clear segregation of volcanic substrates from the quartz and coral reef substrates over 3 months of bacterial colonisation. Overall bacterial diversity showed shared and substrate-specific bacterial communities; however, the volcanic ash substrate supported the most diverse bacterial community. These data suggest a significant influence of substrate properties (composition, granulometry and colour) on bacterial settlement. Our findings provide first insights into physicochemical controls on pioneer bacterial colonisation of volcanic ash and highlight the potential for volcanic ash deposits to support bacterial diversity in the aftermath of reef burial, on timescales that could permit cascading effects on larval settlement.","language":"English","publisher":"Wiley","doi":"10.1111/gbi.12231","usgsCitation":"Witt, V., Ayris, P.M., Damby, D., Cimarelli, C., Kueppers, U., Dingwell, D.B., and Worheide, G., 2017, Volcanic ash supports a diverse bacterial community in a marine mesocosm: Geobiology, v. 15, no. 3, p. 453-463, https://doi.org/10.1111/gbi.12231.","productDescription":"11 p. ","startPage":"453","endPage":"463","ipdsId":"IP-081915","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gbi.12231","text":"Publisher Index Page"},{"id":337792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ccf59ce4b0849ce97f0cdc","contributors":{"authors":[{"text":"Witt, Verena","contributorId":189453,"corporation":false,"usgs":false,"family":"Witt","given":"Verena","email":"","affiliations":[],"preferred":false,"id":684894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ayris, Paul M","contributorId":189454,"corporation":false,"usgs":false,"family":"Ayris","given":"Paul","email":"","middleInitial":"M","affiliations":[],"preferred":false,"id":684895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":684893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cimarelli, Corrado","contributorId":189455,"corporation":false,"usgs":false,"family":"Cimarelli","given":"Corrado","email":"","affiliations":[],"preferred":false,"id":684896,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kueppers, Ulrich","contributorId":189456,"corporation":false,"usgs":false,"family":"Kueppers","given":"Ulrich","email":"","affiliations":[],"preferred":false,"id":684897,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dingwell, Donald B","contributorId":189458,"corporation":false,"usgs":false,"family":"Dingwell","given":"Donald","email":"","middleInitial":"B","affiliations":[],"preferred":false,"id":684899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Worheide, Gert","contributorId":189459,"corporation":false,"usgs":false,"family":"Worheide","given":"Gert","email":"","affiliations":[],"preferred":false,"id":684900,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184189,"text":"fs20173012 - 2017 - Geospatial analysis identifies critical mineral-resource potential in Alaska","interactions":[],"lastModifiedDate":"2018-06-19T19:29:48","indexId":"fs20173012","displayToPublicDate":"2017-03-03T00:00:00","publicationYear":"2017","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":"2017-3012","title":"Geospatial analysis identifies critical mineral-resource potential in Alaska","docAbstract":"<p><span>Alaska consists of more than&nbsp;</span><span>663,000 square miles (1,717,000 square&nbsp;</span><span>kilometers) of land—more than a sixth of&nbsp;</span><span>the total area of the United States—and&nbsp;</span><span>large tracts of it have not been system</span><span>atically studied or sampled for mineral-</span><span>resource potential. Many regions of&nbsp;</span><span>the State are known to have significant&nbsp;</span><span>mineral-resource potential, and there&nbsp;</span><span>are currently six operating mines in the&nbsp;</span><span>State along with numerous active mineral&nbsp;</span><span>exploration projects. The U.S. Geologi</span><span>cal Survey and the Alaska&nbsp;</span><span>Division of Geological &amp; Geophysical&nbsp;</span><span>Surveys have developed a&nbsp;</span><span>new geospatial tool that integrates and&nbsp;</span><span>analyzes publicly available databases&nbsp;</span><span>of geologic information and estimates&nbsp;</span><span>the mineral-resource potential for criti</span><span>cal minerals, which was recently used&nbsp;</span><span>to evaluate Alaska. The results of the&nbsp;</span><span>analyses highlight areas that have known&nbsp;</span><span>mineral deposits and also reveal areas&nbsp;</span><span>that were not previously considered to&nbsp;</span><span>be prospective for these deposit types.&nbsp;</span><span>These results will inform land manage</span><span>ment decisions by Federal, State, and&nbsp;</span><span>private landholders, and will also help&nbsp;</span><span>guide future exploration activities and&nbsp;</span><span>scientific investigations in Alaska.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173012","usgsCitation":"Karl, S.M., and Labay, K.A., Geospatial analysis identifies critical mineral-resource potential in Alaska: U.S. Geological Survey Fact Sheet 2017–3012, 4 p., https://doi.org/10.3133/fs20173012.","productDescription":"4 p.","ipdsId":"IP-082372","costCenters":[{"id":119,"text":"Alaska Science Center Geology 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\":{\"name\":\"Alaska\",\"nation\":\"USA  \"}}]}","contact":"<p><a title=\"Alaska Science Center Staff\" href=\"http://alaska.usgs.gov/staff/\" target=\"_blank\" data-mce-href=\"http://alaska.usgs.gov/staff/\">Alaska Science Center staff&nbsp;</a><br>U.S. Geological Survey<br>4210 University Dr.<br>Anchorage, AK 99508<br><a title=\"Alaska Mineral Resources\" href=\" https://minerals.usgs.gov/science/alaska-studies.html\" target=\"_blank\" data-mce-href=\"https://minerals.usgs.gov/science/alaska-studies.html\">Alaska Mineral Resources</a><br><a title=\"Alaska Science Center\" href=\"http://alaska.usgs.gov/\" target=\"_blank\" data-mce-href=\"http://alaska.usgs.gov/\">Alaska Science Center</a></p>","tableOfContents":"<ul><li>What are Critical Minerals?<br></li><li>Examples of Uses of Critical Minerals<br></li><li>How is Mineral-Resource Potential Evaluated by this Method?<br></li><li>What is the Critical Mineral-Resource Potential of Alaska?<br></li><li>The Road Ahead<br></li><li>Read the Full Report<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-03-03","noUsgsAuthors":false,"publicationDate":"2017-03-03","publicationStatus":"PW","scienceBaseUri":"58ba8ebce4b0bcef64f0b935","contributors":{"editors":[{"text":"Jacques, Katherine","contributorId":187482,"corporation":false,"usgs":true,"family":"Jacques","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":680591,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Landowski, Claire","contributorId":187483,"corporation":false,"usgs":true,"family":"Landowski","given":"Claire","affiliations":[],"preferred":false,"id":680592,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Labay, Keith A. 0000-0002-6763-3190 klabay@usgs.gov","orcid":"https://orcid.org/0000-0002-6763-3190","contributorId":2097,"corporation":false,"usgs":true,"family":"Labay","given":"Keith A.","email":"klabay@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":false,"id":680590,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178815,"text":"pp1814D - 2017 - Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","interactions":[{"subject":{"id":70178815,"text":"pp1814D - 2017 - Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","indexId":"pp1814D","publicationYear":"2017","noYear":false,"chapter":"D","displayTitle":"Regional patterns of Mesozoic-Cenozoic Magmatism in Western Alaska Revealed by New U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar Ages","title":"Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages"},"predicate":"IS_PART_OF","object":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"id":1}],"isPartOf":{"id":70158938,"text":"pp1814 - 2015 - Studies by the U.S. Geological Survey in Alaska, Volume 15","indexId":"pp1814","publicationYear":"2015","noYear":false,"title":"Studies by the U.S. Geological Survey in Alaska, Volume 15"},"lastModifiedDate":"2018-12-10T15:19:03","indexId":"pp1814D","displayToPublicDate":"2017-03-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1814","chapter":"D","displayTitle":"Regional patterns of Mesozoic-Cenozoic Magmatism in Western Alaska Revealed by New U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar Ages","title":"Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and 40Ar/39Ar ages","docAbstract":"<p class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-p1\">In support of regional geologic framework studies, we obtained 50 new argon-40/argon-39 (<sup><span class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-s1\">40</span></sup>Ar/<sup><span class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-s1\">39</span></sup>Ar) ages and 33 new uranium-lead (U-Pb) ages from igneous rocks of southwestern Alaska. Most of the samples are from the Sleetmute and Taylor Mountains quadrangles; smaller collections or individual samples are from the Bethel, Candle, Dillingham, Goodnews Bay, Holy Cross, Iditarod, Kantishna River, Lake Clark, Lime Hills, McGrath, Medfra, Talkeetna, and Tanana quadrangles.</p><p class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-p1\">A U-Pb zircon age of 317.7±0.6 million years (Ma) reveals the presence of Pennsylvanian intermediate igneous (probably volcanic) rocks in the Tikchik terrane, Bethel quadrangle. A U-Pb zircon age of 229.5±0.2 Ma from gabbro intruding the Rampart Group of the Angayucham-Tozitna terrane, Tanana quadrangle, confirms and tightens a previously cited Triassic age for this intrusive suite. A fresh mafic dike in Goodnews Bay quadrangle yielded a&nbsp;<sup><span class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-s1\">40</span></sup>Ar/<sup><span class=\"m_5650407127570482135m_4180947470495460418m_4288564930249366211gmail-m_8357436717544655233m_-4324046578871079521gmail-s1\">39</span></sup>Ar whole rock age of 155.0±1.9 Ma; this establishes a Jurassic or older age for the previously unconstrained (Paleozoic? to Mesozoic?) sandstone unit that it intrudes. A thick felsic tuff in the Gemuk Group in Taylor Mountains quadrangle yielded a U-Pb zircon age of 153.0±2.0 Ma, extending the age of magmatism in this part of the Togiak terrane back into the Late Jurassic. We report three new U-Pb zircon ages between 120 and 110 Ma—112.0±0.9 Ma from syenite in the Candle quadrangle, 114.9±0.3 Ma from orthogneiss assigned to the Ruby terrane in Iditarod quadrangle, and 116.6±0.1 Ma from a gabbro of the Dishna River mafic-ultramafic complex in Iditarod quadrangle. The latter result requires a substantial age revision, from Triassic to Cretaceous, for at least some rocks that have been mapped as the Dishna River mafic-ultramafic complex. A tuff in the Upper Cretaceous Kuskokwim Group yielded a U-Pb zircon (sensitive high-resolution ion microprobe, SHRIMP) age of 88.3±1.0 Ma; we speculate that the eruptive source was an arc along the trend of the Pebble porphyry copper deposit along the Gulf of Alaska continental margin. More than half of the new ages fall between 75 and 65 Ma, confirming the existence, based on conventional potassium-argon (K-Ar) ages, of a 70-Ma igneous flare-up across southwestern Alaska. Our new ages hint that during this pulse, the locus of magmatism shifted toward the Gulf of Alaska, that is, toward a more outboard position. This shift is consistent with the hypothesis that magmatism was the product of rollback of a subducted slab, which at that time would have been the Resurrection Plate. Intrusive rocks in the Taylor Mountains and Sleetmute quadrangles in the age range of 63 to 59 Ma were emplaced shortly before the onset of ridge subduction as dated by near-trench plutons in the adjacent part of the Chugach accretionary complex. Southwestern Alaska at this time would have been positioned above a very young subducted slab belonging to the Resurrection Plate; magmas, in this scenario, were generated near the edge of the slab window related to ridge subduction. A 56.3±0.2 Ma granite in Taylor Mountains quadrangle and a 54.7±0.7 Ma ashfall tuff in McGrath quadrangle were likely emplaced above the Resurrection-Kula slab window, which by this time is inferred to have entered the region. Another ashfall tuff in McGrath quadrangle, at 42.8±0.5 Ma, likely belongs to the Meshik Arc, the product of renewed subduction after inferred passage of the slab window. A 49.0±0.3-Ma rhyolite in Taylor Mountains quadrangle is about the age of the transition from slab window to renewed subduction. Two plutons in the western Alaska Range, at 31.8±0.4 and 30.9±0.6 Ma, belong to a suite of gabbro to peralkaline granite of unknown origin. Finally, a 4.6±0.1-Ma basalt from a flow in Taylor Mountains quadrangle belongs to the Neogene basaltic province of western Alaska. These rocks were erupted in a distal retroarc setting; the cause of magmatism is unknown.&nbsp;</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Studies by the U.S. Geological Survey in Alaska, vol. 15 (Professional Paper 1814)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1814D","usgsCitation":"Bradley, D.C., Miller, M.L., Friedman, R.M., Layer, P.W., Bleick, H.A., Jones, J.V., III, Box, S.E., Karl, S.M., Shew, N.B., White, T.S., Till, A.B., Dumoulin, J.A., Bundtzen, T.K., O’Sullivan, P.B., and Ullrich, T.D., 2017, Regional patterns of Mesozoic-Cenozoic magmatism in western Alaska revealed by new U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar ages, <i>in</i> Dumoulin, J.A., ed., Studies by the U.S. Geological Survey in Alaska, vol. 15: U.S. Geological Survey Professional Paper 1814–D, 48 p., https://doi.org/10.3133/pp1814D.","productDescription":"Report: v, 48 p.","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-070875","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"links":[{"id":336764,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d.pdf","text":"Report","size":"34.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1814"},{"id":336762,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d_apenndix2.zip","text":"Appendix 2 (CSV)","size":"53 KB","linkFileType":{"id":6,"text":"zip"},"description":"PP 1814 Appendix 2 ZIP","linkHelpText":"New Geochronology Data for Igneous-Rock Samples from Western Alaska"},{"id":336760,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1814/d/coverthb.jpg"},{"id":336761,"rank":2,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1814/d/pp1814d_appendix2.xlsx","text":"Appendix 2 (xlsx)","size":"312 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"PP 1814 Appendix 2 XLSX","linkHelpText":"New Geochronology Data for Igneous-Rock Samples from Western Alaska"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -162,\n              66\n            ],\n            [\n              -150,\n              66\n            ],\n            [\n              -150,\n              59\n            ],\n            [\n              -162,\n              59\n            ],\n            [\n              -162,\n              66\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://alaska.usgs.gov/staff/\" target=\"_blank\" data-mce-href=\"https://alaska.usgs.gov/staff/\">Alaska Science Center staff</a><br> U.S. Geological Survey<br> 4210 University Dr.<br> Anchorage, AK 99508<br> <a href=\"https://minerals.usgs.gov/alaska/\" target=\"_blank\" data-mce-href=\"https://minerals.usgs.gov/alaska/\">Alaska Mineral Resources</a><br> <a href=\"https://alaska.usgs.gov/\" target=\"_blank\" data-mce-href=\"https://alaska.usgs.gov/\">Alaska Science Center&nbsp;</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Geochronology<br></li><li>Implications for the Magmatic History of Western Alaska Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1.—Analytical Methods<br></li><li>Appendix 2.—New Geochronology Data for Igneous-Rock Samples from Western Alaska<br></li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2017-03-02","noUsgsAuthors":false,"publicationDate":"2017-03-02","publicationStatus":"PW","scienceBaseUri":"58b93d28e4b090ec658d771d","contributors":{"editors":[{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":753566,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":680437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Marti L. 0000-0003-0285-4942 mlmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-0285-4942","contributorId":561,"corporation":false,"usgs":true,"family":"Miller","given":"Marti","email":"mlmiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680438,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedman, Richard M.","contributorId":141227,"corporation":false,"usgs":false,"family":"Friedman","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13720,"text":"Department of Earth and Ocean Sciences University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":680439,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Layer, Paul W.","contributorId":59483,"corporation":false,"usgs":true,"family":"Layer","given":"Paul","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":680440,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bleick, Heather A. hbleick@usgs.gov","contributorId":2484,"corporation":false,"usgs":true,"family":"Bleick","given":"Heather","email":"hbleick@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":680441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, James V. III 0000-0002-6602-5935 jvjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6602-5935","contributorId":201245,"corporation":false,"usgs":true,"family":"Jones","given":"James","suffix":"III","email":"jvjones@usgs.gov","middleInitial":"V.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680442,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Box, Steven E.","contributorId":187446,"corporation":false,"usgs":true,"family":"Box","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":680443,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karl, Susan M. 0000-0003-1559-7826 skarl@usgs.gov","orcid":"https://orcid.org/0000-0003-1559-7826","contributorId":502,"corporation":false,"usgs":true,"family":"Karl","given":"Susan","email":"skarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680444,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shew, Nora B. 0000-0003-0025-7220 nshew@usgs.gov","orcid":"https://orcid.org/0000-0003-0025-7220","contributorId":3382,"corporation":false,"usgs":true,"family":"Shew","given":"Nora","email":"nshew@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680445,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"White, Timothy S.","contributorId":187447,"corporation":false,"usgs":true,"family":"White","given":"Timothy","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":680446,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Till, Alison B. atill@usgs.gov","contributorId":2482,"corporation":false,"usgs":true,"family":"Till","given":"Alison","email":"atill@usgs.gov","middleInitial":"B.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":680447,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":680448,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bundtzen, Thomas K.","contributorId":83560,"corporation":false,"usgs":true,"family":"Bundtzen","given":"Thomas K.","affiliations":[],"preferred":false,"id":680449,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"O'Sullivan, Paul B.","contributorId":36627,"corporation":false,"usgs":true,"family":"O'Sullivan","given":"Paul B.","affiliations":[],"preferred":false,"id":680450,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Ullrich, Thomas D.","contributorId":187448,"corporation":false,"usgs":true,"family":"Ullrich","given":"Thomas","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680451,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70188020,"text":"70188020 - 2017 - Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife","interactions":[],"lastModifiedDate":"2017-05-30T09:49:58","indexId":"70188020","displayToPublicDate":"2017-03-02T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife","docAbstract":"<p><span>Comparative approaches in physiological genomics offer an opportunity to understand the functional importance of genes involved in niche exploitation. We used populations of Alewife (</span><i>Alosa pseudoharengus</i><span>) to explore the transcriptional mechanisms that underlie adaptation to fresh water. Ancestrally anadromous Alewives have recently formed multiple, independently derived, landlocked populations, which exhibit reduced tolerance of saltwater and enhanced tolerance of fresh water. Using RNA-seq, we compared transcriptional responses of an anadromous Alewife population to two landlocked populations after acclimation to fresh (0&nbsp;ppt) and saltwater (35&nbsp;ppt). Our results suggest that the gill transcriptome has evolved in primarily discordant ways between independent landlocked populations and their anadromous ancestor. By contrast, evolved shifts in the transcription of a small suite of well-characterized osmoregulatory genes exhibited a strong degree of parallelism. In particular, transcription of genes that regulate gill ion exchange has diverged in accordance with functional predictions: freshwater ion-uptake genes (most notably, the ‘freshwater paralog’ of Na</span><sup>+</sup><span>/K</span><sup>+</sup><span>-ATPase α-subunit) were more highly expressed in landlocked forms, whereas genes that regulate saltwater ion secretion (e.g. the ‘saltwater paralog’ of NKAα) exhibited a blunted response to saltwater. Parallel divergence of ion transport gene expression is associated with shifts in salinity tolerance limits among landlocked forms, suggesting that changes to the gill's transcriptional response to salinity facilitate freshwater adaptation.</span></p>","language":"English","publisher":"Blackwell Science","doi":"10.1111/mec.13983","usgsCitation":"Velotta, J.P., Wegrzyn, J.L., Ginzburg, S., Kang, L., Czesny, S.J., O’Neill, R.J., McCormick, S.D., Michalak, P., and Schultz, E., 2017, Transcriptomic imprints of adaptation to fresh water: parallel evolution of osmoregulatory gene expression in the Alewife: Molecular Ecology, v. 26, no. 3, p. 831-848, https://doi.org/10.1111/mec.13983.","productDescription":"18 p.","startPage":"831","endPage":"848","ipdsId":"IP-076741","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":341813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-27","publicationStatus":"PW","scienceBaseUri":"592d8edee4b08f9d15be7b80","contributors":{"authors":[{"text":"Velotta, Jonathan P.","contributorId":86281,"corporation":false,"usgs":true,"family":"Velotta","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wegrzyn, Jill L.","contributorId":192322,"corporation":false,"usgs":false,"family":"Wegrzyn","given":"Jill","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ginzburg, Samuel","contributorId":192323,"corporation":false,"usgs":false,"family":"Ginzburg","given":"Samuel","email":"","affiliations":[],"preferred":false,"id":696227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kang, Lin","contributorId":192324,"corporation":false,"usgs":false,"family":"Kang","given":"Lin","email":"","affiliations":[],"preferred":false,"id":696228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Czesny, Sergiusz J.","contributorId":138598,"corporation":false,"usgs":false,"family":"Czesny","given":"Sergiusz","email":"","middleInitial":"J.","affiliations":[{"id":12458,"text":"Illinois Natural History Survey, Lake Michigan Biological Station","active":true,"usgs":false}],"preferred":false,"id":696229,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Neill, Rachel J.","contributorId":78668,"corporation":false,"usgs":true,"family":"O’Neill","given":"Rachel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696230,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":696206,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michalak, Pawel","contributorId":139209,"corporation":false,"usgs":false,"family":"Michalak","given":"Pawel","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":696231,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schultz, Eric T.","contributorId":77071,"corporation":false,"usgs":true,"family":"Schultz","given":"Eric T.","affiliations":[],"preferred":false,"id":696232,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70180983,"text":"fs20173010 - 2017 - Water resources of the Southern Hills regional aquifer system, southeastern Louisiana","interactions":[],"lastModifiedDate":"2017-03-06T11:34:31","indexId":"fs20173010","displayToPublicDate":"2017-03-01T16:45:00","publicationYear":"2017","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":"2017-3010","title":"Water resources of the Southern Hills regional aquifer system, southeastern Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of groundwater in the 10 parishes overlying the Southern Hills regional aquifer system of Louisiana (fig. 1) is critical for water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater sources in these parishes is presented. Previously published reports (see References Cited section) and data stored in the U.S. Geological Survey’s National Water Information System (U.S. Geological Survey, 2017) are the primary sources of the information presented here. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173010","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2017, Water resources of the Southern Hills regional aquifer system, southeastern Louisiana: U.S. Geological Survey Fact Sheet 2017–3010, <br>6 p., https://doi.org/10.3133/fs20173010.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-081709","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":438427,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014-2015"},{"id":336733,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3010/coverthb.jpg"},{"id":336734,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3010/fs20173010.pdf","text":"Report","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3010"}],"country":"United States","state":"Louisiana","otherGeospatial":"Southern Hills region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-90.8951,30.3465],[-90.9063,30.3415],[-90.9846,30.3465],[-91.0106,30.337],[-91.025,30.3201],[-91.0461,30.317],[-91.0863,30.3199],[-91.1255,30.3127],[-91.1382,30.3169],[-91.1419,30.3237],[-91.3144,30.3246],[-91.3202,30.3443],[-91.3371,30.3526],[-91.3714,30.3874],[-91.3947,30.3956],[-91.3947,30.4094],[-91.4127,30.4322],[-91.4524,30.4743],[-91.4604,30.4707],[-91.4853,30.4972],[-91.5261,30.4972],[-91.5584,30.4885],[-91.5568,30.483],[-91.5818,30.4825],[-91.5839,30.4967],[-91.7568,30.4978],[-91.7525,30.5079],[-91.7324,30.5102],[-91.733,30.5203],[-91.7575,30.5628],[-91.7512,30.5994],[-91.7539,30.6176],[-91.7412,30.6327],[-91.7466,30.6588],[-91.7328,30.668],[-91.7366,30.6794],[-91.7335,30.7018],[-91.7581,30.7415],[-91.7565,30.7607],[-91.7688,30.7858],[-91.8089,30.8145],[-91.8041,30.8291],[-91.7977,30.8337],[-91.7978,30.8442],[-91.8154,30.8483],[-91.8202,30.8533],[-91.816,30.8634],[-91.8048,30.8639],[-91.8021,30.8721],[-91.8002,30.926],[-91.8063,30.9699],[-91.8041,30.9781],[-91.7807,30.9868],[-91.7728,31.0051],[-91.7504,31.0193],[-91.7211,31.0495],[-91.6987,31.045],[-91.6635,31.0451],[-91.649,31.0373],[-91.6447,31.0213],[-91.6575,31.0003],[-91.6622,30.9706],[-91.6553,30.9866],[-91.641,30.9985],[-89.7589,31.0021],[-89.7544,30.9958],[-89.7344,31.0034],[-89.7291,30.9878],[-89.735,30.9746],[-89.7284,30.9653],[-89.7393,30.9618],[-89.7561,30.9424],[-89.7504,30.9327],[-89.7527,30.9235],[-89.7464,30.9199],[-89.747,30.9157],[-89.7632,30.9087],[-89.7592,30.897],[-89.7726,30.8961],[-89.7699,30.8801],[-89.7793,30.8774],[-89.7684,30.8645],[-89.7748,30.8527],[-89.7824,30.8551],[-89.7904,30.8496],[-89.7892,30.8308],[-89.7835,30.8272],[-89.7853,30.8208],[-89.7869,30.8177],[-89.8034,30.8197],[-89.8015,30.8083],[-89.8149,30.8035],[-89.8177,30.7985],[-89.8048,30.7952],[-89.809,30.7892],[-89.8205,30.7903],[-89.8309,30.7792],[-89.8311,30.7653],[-89.8221,30.7396],[-89.8278,30.7349],[-89.8315,30.7216],[-89.8432,30.7153],[-89.8446,30.7052],[-89.8374,30.702],[-89.8374,30.6965],[-89.8422,30.6892],[-89.8422,30.6695],[-89.8492,30.6604],[-89.8327,30.6567],[-89.8194,30.6381],[-89.8179,30.6334],[-89.8293,30.6208],[-89.8184,30.6097],[-89.8204,30.6031],[-89.8149,30.5987],[-89.8166,30.5923],[-89.8098,30.589],[-89.8069,30.5729],[-89.7894,30.5689],[-89.7901,30.5654],[-89.8024,30.5623],[-89.7935,30.5549],[-89.7931,30.5476],[-89.7825,30.5456],[-89.7762,30.5391],[-89.772,30.5189],[-89.7604,30.5155],[-89.7561,30.5048],[-89.7422,30.4955],[-89.728,30.4926],[-89.7244,30.4852],[-89.6879,30.4543],[-89.679,30.4223],[-89.6837,30.4063],[-89.6601,30.3734],[-89.6565,30.36],[-89.6307,30.34],[-89.6302,30.3142],[-89.6377,30.3108],[-89.6446,30.2895],[-89.6362,30.2895],[-89.6309,30.2753],[-89.6326,30.2689],[-89.6266,30.264],[-89.631,30.2579],[-89.6154,30.2446],[-89.6132,30.2199],[-89.5948,30.2093],[-89.5748,30.1831],[-89.5592,30.1841],[-89.5351,30.196],[-89.5247,30.1847],[-89.5325,30.1786],[-89.5447,30.1822],[-89.5608,30.1781],[-89.5711,30.1708],[-89.5728,30.16],[-89.5883,30.1506],[-89.6158,30.1564],[-89.6256,30.1511],[-89.6306,30.1565],[-89.6548,30.1583],[-89.6798,30.1765],[-89.6899,30.1762],[-89.7172,30.1621],[-89.7314,30.167],[-89.7387,30.1772],[-89.7457,30.1773],[-89.7915,30.1508],[-89.8119,30.1557],[-89.819,30.1815],[-89.8631,30.1901],[-89.8753,30.1982],[-89.8985,30.1924],[-89.9888,30.1501],[-89.999,30.1491],[-90.0367,30.1719],[-90.0612,30.1751],[-90.1185,30.1953],[-90.1691,30.2037],[-90.2169,30.2198],[-90.2776,30.2306],[-90.2972,30.294],[-90.3199,30.2988],[-90.3337,30.2953],[-90.349,30.2973],[-90.373,30.2833],[-90.3841,30.2871],[-90.4016,30.2854],[-90.4838,30.2647],[-90.4998,30.2553],[-90.5299,30.2116],[-90.5618,30.1931],[-90.5824,30.1979],[-90.5996,30.2168],[-90.6123,30.2141],[-90.6181,30.2192],[-90.6323,30.2212],[-90.6465,30.2327],[-90.6598,30.2264],[-90.6636,30.2118],[-90.6694,30.2155],[-90.6779,30.2092],[-90.6733,30.1981],[-90.6851,30.1804],[-90.6941,30.175],[-90.704,30.1869],[-90.7093,30.1842],[-90.7198,30.1898],[-90.7228,30.2072],[-90.7355,30.2114],[-90.7312,30.2205],[-90.7416,30.2343],[-90.7585,30.2404],[-90.7696,30.2382],[-90.7742,30.2519],[-90.7874,30.257],[-90.791,30.2667],[-90.782,30.2753],[-90.7851,30.2808],[-90.7978,30.2836],[-90.8094,30.2769],[-90.8162,30.2906],[-90.8252,30.2953],[-90.8318,30.3195],[-90.8497,30.3302],[-90.8565,30.3417],[-90.8951,30.3465]]]},\"properties\":{\"name\":\"East Baton Rouge\",\"state\":\"LA\"}}]}","contact":"<p>Director, Lower Mississippi-Gulf Water Science Center<br> U.S. Geological Survey<br> 3535 S. Sherwood Forest Blvd.<br> Suite 120<br> Baton Rouge, LA 70816<br> <a href=\"https://la.water.usgs.gov\" data-mce-href=\"https://la.water.usgs.gov\">https://la.water.usgs.gov</a></p>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-03-01","noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"58b7eb9be4b01ccd5500bacb","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":663048,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169144,"text":"70169144 - 2017 - Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada","interactions":[],"lastModifiedDate":"2018-11-19T11:34:00","indexId":"70169144","displayToPublicDate":"2017-03-01T13:46:09","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada","docAbstract":"<p><span>Stratiform Zn-Pb deposits hosted in unmetamorphosed carbonaceous and siliceous mudstones of the Ordovician to Silurian Duo Lake Formation define the Howards Pass district in Yukon Territory and Northwest Territories, western Canada. Collectively, the deposits are amongst the largest in the world, containing drill-indicated and inferred resources of 423&nbsp;Mt at 4.84&nbsp;% Zn and 1.59&nbsp;% Pb. Sulphide textures include (a) fine-scale laminations of sphalerite, galena, and pyrite from &lt;0.05&nbsp;mm to 1&nbsp;cm thick, interbedded with carbonaceous sedimentary rock; (b) layers of coarse sulphide that are structurally controlled by microfolds; and (c) veins that cut bedding and sulphide laminations. The finely interlaminated nature of sulphides with mudstone has been used as evidence for syngenetic mineralizing processes, whereas paleomagnetic data determined on coarse layered sulphides suggest a Middle Jurassic age of mineralization. Here, we present new rhenium-osmium (Re-Os) isotopic data for 12 pyrite separates obtained from 4 laminated sulphide-rich samples from the XY Central (XYC) and Don (DON) deposits and for 1 unmineralized organic-rich mudstone ∼20&nbsp;m stratigraphically below the sulphide-bearing zone. Pyrite separates that lack mudstone inclusions (“pure”) from the XYC deposit contain 2.2 to 4.0&nbsp;ppb Re and 93.4 to 123.4&nbsp;ppt Os; pure pyrite from the DON deposit is significantly more enriched in Re and Os (34–37&nbsp;ppb Re; 636.8–694.9&nbsp;ppt Os). The&nbsp;</span><sup>187</sup><span>Re/</span><sup>188</sup><span>Os values of pure pyrite separates from the XYC and DON deposits range from 137.6 to 197 and 182.1 to 201.4, respectively. Regression of all pure pyrite Re-Os data from both deposits yields an isochron age of 442 ± 14&nbsp;Ma (MSWD = 7.4) and an initial&nbsp;</span><sup>187</sup><span>Os/</span><sup>188</sup><span>Os (Os</span><sub>i</sub><span>) value of 0.71 ± 0.07. The Re-Os age indicates that the early phase of pyrite precipitation (and by inference, sphalerite and galena) occurred during the early Silurian, consistent with biostratigraphic ages of the host rocks. The Os</span><sub>i</sub><span>&nbsp;value of ∼0.8 for earliest Silurian seawater recorded from organic-rich shale in the basal Silurian Global Stratotype Section and Point (GSSP) at Dobs Linn, Scotland is very similar to that provided by the Howards Pass pyrite regression and hence suggests a hydrogenous (seawater) source of Os for the pyrite. Therefore, two possible sources of Os are (1) the Zn- and Pb-bearing hydrothermal fluid that leached Os from footwall sedimentary rocks, which were deposited in seawater, or (2) directly from seawater during precipitation of the pyrite, which suggests that the Os content of the hydrothermal fluid was minor relative to that of seawater.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00126-016-0663-y","usgsCitation":"Kelley, K.D., Selby, D., Falck, H., and Slack, J.F., 2017, Re-Os systematics and age of pyrite associated with stratiform Zn-Pb mineralization in the Howards Pass district, Yukon and Northwest Territories, Canada: Mineralium Deposita, v. 52, no. 3, p. 317-335, https://doi.org/10.1007/s00126-016-0663-y.","productDescription":"19 p.","startPage":"317","endPage":"335","ipdsId":"IP-068931","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":470028,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/1380298","text":"External Repository"},{"id":356287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Northwest Territories, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -130.968017578125,\n              62.32410603355886\n            ],\n            [\n              -127.9248046875,\n              62.32410603355886\n            ],\n            [\n              -127.9248046875,\n              63.027565805785244\n            ],\n            [\n              -130.968017578125,\n              63.027565805785244\n            ],\n            [\n              -130.968017578125,\n              62.32410603355886\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"52","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-30","publicationStatus":"PW","scienceBaseUri":"5b6fc720e4b0f5d57878ebc3","contributors":{"authors":[{"text":"Kelley, Karen D. kdkelley@usgs.gov","contributorId":431,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":623200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":58167,"corporation":false,"usgs":true,"family":"Selby","given":"David","affiliations":[],"preferred":false,"id":623201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falck, Hendrik","contributorId":167705,"corporation":false,"usgs":false,"family":"Falck","given":"Hendrik","email":"","affiliations":[{"id":24811,"text":"NWT Geoscience Office, Yellowknife, Canada","active":true,"usgs":false}],"preferred":false,"id":623202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":623203,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70198630,"text":"70198630 - 2017 - Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea","interactions":[],"lastModifiedDate":"2019-06-11T11:43:29","indexId":"70198630","displayToPublicDate":"2017-03-01T13:27:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea","docAbstract":"<p><span>An animal’s energetic costs are dependent on the amount of time it allocates to various behavioral activities. For Arctic pinnipeds, the time allocated to active and resting behaviors could change with future reductions in sea ice cover and longer periods of open water. The Pacific walrus (</span><i>Odobenus rosmarus divergens</i><span>) is a large Arctic pinniped that rests on sea ice or land between foraging trips to feed on the seafloor. We used behavioral data collected from radiotagged walruses in the Chukchi Sea (2008–2014) in a Bayesian generalized linear mixed effects model to estimate the probability a walrus was in water foraging, in water not foraging, or hauled out, as a function of environmental covariates. The probability of a walrus being in water increased with wind speed and decreased with air temperature, and the probability a walrus was foraging, given it was in water, increased with available benthic macrofaunal biomass. The probability of each behavior was also related to the nature and availability of haul-out substrates. The amount of time walruses spent in water foraging and hauled out was greatest when only sea ice was available, which typically occurs when walruses occupy feeding areas during summer and early autumn. This situation may be most energy efficient for walruses because it allows the highest proportion of in water energy expenditure to be allocated to foraging. Conversely, the amount of time walruses spent in water foraging and hauled out was lowest when only land was available, which typically occurs in late autumn, in years when walruses were constrained to land haul-outs because sea ice was absent over the continental shelf.</span></p>","language":"English","publisher":"Oxford","doi":"10.1093/jmammal/gyw195","usgsCitation":"Jay, C.V., Taylor, R.L., Fischbach, A., Udevitz, M.S., and Beatty, W.S., 2017, Walrus haul-out and in water activity levels relative to sea ice availability in the Chukchi Sea: Journal of Mammalogy, v. 98, no. 2, p. 386-396, https://doi.org/10.1093/jmammal/gyw195.","productDescription":"11 p.","startPage":"386","endPage":"396","ipdsId":"IP-076658","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470029,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw195","text":"Publisher Index Page"},{"id":438428,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7XD0ZTG","text":"USGS data release","linkHelpText":"Walrus Haulout and In-water Activity Levels Relative to Sea Ice Availability in the Chukchi Sea: 2008-2014"},{"id":356409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chukchi Sea","volume":"98","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-02-08","publicationStatus":"PW","scienceBaseUri":"5b98a47ee4b0702d0e843086","contributors":{"authors":[{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742292,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":200780,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony S.","email":"afischbach@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742293,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Udevitz, Mark S. 0000-0003-4659-138X mudevitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4659-138X","contributorId":3189,"corporation":false,"usgs":true,"family":"Udevitz","given":"Mark","email":"mudevitz@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":742294,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beatty, William S. 0000-0003-0013-3113 wbeatty@usgs.gov","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":173946,"corporation":false,"usgs":true,"family":"Beatty","given":"William","email":"wbeatty@usgs.gov","middleInitial":"S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":742295,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70197936,"text":"70197936 - 2017 - Climate change influences on pollinator, forest, and farm interactions across a climate gradient","interactions":[],"lastModifiedDate":"2018-08-07T12:10:57","indexId":"70197936","displayToPublicDate":"2017-03-01T12:10:50","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Climate change influences on pollinator, forest, and farm interactions across a climate gradient","docAbstract":"<p><span>Climate impact models are often implemented at horizontal resolutions (“scales”) too coarse to be readily applied in local impact assessments. However, recent advancements in fine-scale modeling are allowing the creation of impact models that can be applied to landscape-scale adaptation planning. Here, we illustrate the use of fine-scale impact models for landscape-scale adaptation planning of pollination services for six sites in Central America. The strategies include the identification of (1) potential reservoir areas that may retain bee diversity and serve as a source of recolonization after climate shocks such as droughts; and (2) potential restoration areas, where improving forest cover is likely to lead to increases in pollinator services both in the present and in the future. Coarse-scale (&gt;1-km horizontal resolution) climatic controls on pollinator diversity and forest cover determine the general location of these areas in our six landscapes. Fine-scale (&lt;100-m horizontal resolution) variation in climatic water deficit provides an index of forest health which can help identify intervention strategies within these zones. All sites have significant areas in which protecting or restoring forest cover is likely to enhance pollination services. The gradient in rainfall change across the study sites dictates choice of adaptation strategies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-016-1868-x","usgsCitation":"Hannah, L., Steele, M., Fung, E., Imbach, P., Flint, L.E., and Flint, A.L., 2017, Climate change influences on pollinator, forest, and farm interactions across a climate gradient: Climatic Change, v. 141, no. 1, p. 63-75, https://doi.org/10.1007/s10584-016-1868-x.","productDescription":"13 p.","startPage":"63","endPage":"75","ipdsId":"IP-070739","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-016-1868-x","text":"Publisher Index Page"},{"id":356279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"5b6fc720e4b0f5d57878ebc5","contributors":{"authors":[{"text":"Hannah, Lee","contributorId":149715,"corporation":false,"usgs":false,"family":"Hannah","given":"Lee","affiliations":[{"id":16938,"text":"Conservation International","active":true,"usgs":false}],"preferred":false,"id":739236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steele, Marc","contributorId":206041,"corporation":false,"usgs":false,"family":"Steele","given":"Marc","email":"","affiliations":[{"id":37180,"text":"UC Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":739237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fung, Emily","contributorId":206042,"corporation":false,"usgs":false,"family":"Fung","given":"Emily","email":"","affiliations":[{"id":37227,"text":"Tropical Agricultural Research and Higher Education Center, Costa Rica","active":true,"usgs":false}],"preferred":false,"id":739238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Imbach, Pablo","contributorId":206043,"corporation":false,"usgs":false,"family":"Imbach","given":"Pablo","email":"","affiliations":[{"id":37228,"text":"Environmental Modeling Laboratory CATIE Costa Rica","active":true,"usgs":false}],"preferred":false,"id":739239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":739235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":739240,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70185708,"text":"70185708 - 2017 - Divergent surface and total soil moisture projections under global warming","interactions":[],"lastModifiedDate":"2017-03-28T10:02:43","indexId":"70185708","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","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":"Divergent surface and total soil moisture projections under global warming","docAbstract":"<p><span>Land aridity has been projected to increase with global warming. Such projections are mostly based on off-line aridity and drought metrics applied to climate model outputs but also are supported by climate-model projections of decreased surface soil moisture. Here we comprehensively analyze soil moisture projections from the Coupled Model Intercomparison Project phase 5, including surface, total, and layer-by-layer soil moisture. We identify a robust vertical gradient of projected mean soil moisture changes, with more negative changes near the surface. Some regions of the northern middle to high latitudes exhibit negative annual surface changes but positive total changes. We interpret this behavior in the context of seasonal changes in the surface water budget. This vertical pattern implies that the extensive drying predicted by off-line drought metrics, while consistent with the projected decline in surface soil moisture, will tend to overestimate (negatively) changes in total soil water availability.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071921","usgsCitation":"Berg, A., Sheffield, J., and Milly, P., 2017, Divergent surface and total soil moisture projections under global warming: Geophysical Research Letters, v. 44, no. 1, p. 236-244, https://doi.org/10.1002/2016GL071921.","productDescription":"9 p.","startPage":"236","endPage":"244","ipdsId":"IP-082638","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071921","text":"Publisher Index Page"},{"id":338440,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-13","publicationStatus":"PW","scienceBaseUri":"58db7631e4b0ee37af29e49e","contributors":{"authors":[{"text":"Berg, Alexis","contributorId":187496,"corporation":false,"usgs":false,"family":"Berg","given":"Alexis","email":"","affiliations":[],"preferred":false,"id":686481,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheffield, Justin","contributorId":189922,"corporation":false,"usgs":false,"family":"Sheffield","given":"Justin","email":"","affiliations":[],"preferred":false,"id":686482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":686480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186677,"text":"70186677 - 2017 - The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","interactions":[],"lastModifiedDate":"2017-04-07T10:12:20","indexId":"70186677","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","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":"The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches","docAbstract":"<p><span>To better understand how individual processes combine to cause flooding and erosion events, we investigate the relative contribution of tides, waves, and nontidal residuals to extreme total water levels (TWLs) at the shoreline of U.S. West Coast sandy beaches. Extreme TWLs, defined as the observed annual maximum event and the simulated 100&nbsp;year return level event, peak in Washington, and are on average larger in Washington and Oregon than in California. The relative contribution of wave-induced and still water levels (SWL) to the 100&nbsp;year TWL event is similar to that of the annual maximum event; however, the contribution of storm surge to the SWL doubles across events. Understanding the regional variability of TWLs will lead to a better understanding of how sea level rise, changes in storminess, and possible changes in the frequency of major El Niños may impact future coastal flooding and erosion along the U.S. West Coast and elsewhere.</span></p>","language":"English","publisher":"AGU","doi":"10.1002/2016GL071020","usgsCitation":"Serafin, K.A., Ruggiero, P., and Stockdon, H.F., 2017, The relative contribution of waves, tides, and nontidal residuals to extreme total water levels on U.S. West Coast sandy beaches: Geophysical Research Letters, v. 44, no. 4, p. 1839-1847, https://doi.org/10.1002/2016GL071020.","productDescription":"9 p.","startPage":"1839","endPage":"1847","ipdsId":"IP-079475","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071020","text":"Publisher Index Page"},{"id":339393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.3876953125,\n              49.009050809382046\n            ],\n            [\n              -125.46386718749999,\n              48.63290858589535\n            ],\n            [\n              -125.1123046875,\n              46.13417004624326\n            ],\n            [\n              -125.5078125,\n              42.87596410238256\n            ],\n            [\n              -125.068359375,\n              39.9434364619742\n            ],\n            [\n              -123.1787109375,\n              36.59788913307022\n            ],\n            [\n              -120.9375,\n              34.23451236236987\n            ],\n            [\n              -118.125,\n              32.54681317351514\n            ],\n            [\n              -115.7080078125,\n              32.58384932565662\n            ],\n            [\n              -116.8505859375,\n              34.05265942137599\n            ],\n            [\n              -120.89355468749999,\n              37.16031654673677\n            ],\n            [\n              -122.29980468749999,\n              41.0130657870063\n            ],\n            [\n              -122.3876953125,\n              49.009050809382046\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-18","publicationStatus":"PW","scienceBaseUri":"58e8a542e4b09da6799d63a3","contributors":{"authors":[{"text":"Serafin, Katherine A.","contributorId":84466,"corporation":false,"usgs":true,"family":"Serafin","given":"Katherine","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":690254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruggiero, Peter","contributorId":15709,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":690255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":690253,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70191823,"text":"70191823 - 2017 - Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China","interactions":[],"lastModifiedDate":"2017-10-18T10:22:13","indexId":"70191823","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China","docAbstract":"<p><span>Nitrogen (N) is a limiting nutrient in many peatland ecosystems. Enhanced N deposition, a major component of global climate change, affects ecosystem carbon (C) balance and alters soil C storage by changing plant and soil properties. However, the effects of enhanced N deposition on peatland ecosystems are poorly understood. We conducted a two-year N additions field experiment in a peatland dominated by&nbsp;</span><i>Eriophorum vaginatum</i><span><span>&nbsp;</span>in the Da Xing’an Mountains, Northeast China. Four levels of N treatments were applied: (1) CK (no N added), (2) N1 (6</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>N</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>yr</span><sup>−1</sup><span>), (3) N2 (12</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>N</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span>&nbsp;</span><span>yr</span><sup>−1</sup><span>), and (4) N3 (24</span><span>&nbsp;</span><span>g</span><span>&nbsp;</span><span>N</span><span>&nbsp;</span><span>m</span><sup>−2</sup><span><span>&nbsp;</span></span><span>&nbsp;</span><span>yr</span><sup>−1</sup><span>). Plant and soil material was harvested at the end of the second growing season. N additions increased litter N and phosphorus (P) content, as well as β-glucosidase, invertase, and acid-phosphatase activity, but decreased litter C:N and C:P ratios. Litter carbon content remained unchanged. N additions increased available NH</span><sub>4</sub><sup>+</sup><span>–N and NO</span><sub>3</sub><sup>−</sup><span>–N as well as total Gram-positive (Gram+), Gram-negative (Gram−), and total bacterial phospholipid fatty acids (PLFA) in shallow soil (0–15</span><span>&nbsp;</span><span>cm depth). An increase in these PLFAs was accompanied by a decrease in soil labile organic C (microbial biomass carbon and dissolved organic carbon), and appeared to accelerate decomposition and reduce the stability of the soil C pool. Invertase and urease activity in shallow soils and acid-phosphatase activity in deep soils (15–30</span><span>&nbsp;</span><span>cm depth) was inhibited by N additions. Together, these findings suggest that an increase in N deposition in peatlands could accelerate litter decomposition and the loss of labile C, as well as alter microbial biomass and function.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.12.025","usgsCitation":"Song, Y., Song, C., Meng, H., Swarzenski, C.M., Wang, X., and Tan, W., 2017, Nitrogen additions affect litter quality and soil biochemical properties in a peatland of Northeast China: Ecological Engineering, v. 100, p. 175-185, https://doi.org/10.1016/j.ecoleng.2016.12.025.","productDescription":"11 p.","startPage":"175","endPage":"185","ipdsId":"IP-071131","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":346828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              121.5087890625,\n              53.028000167735165\n            ],\n            [\n              123.035888671875,\n              53.028000167735165\n            ],\n            [\n              123.035888671875,\n              53.51418452077113\n            ],\n            [\n              121.5087890625,\n              53.51418452077113\n            ],\n            [\n              121.5087890625,\n              53.028000167735165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e86837e4b05fe04cd4d206","contributors":{"authors":[{"text":"Song, Yanyu","contributorId":197346,"corporation":false,"usgs":false,"family":"Song","given":"Yanyu","email":"","affiliations":[],"preferred":false,"id":713256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Changchun","contributorId":177141,"corporation":false,"usgs":false,"family":"Song","given":"Changchun","email":"","affiliations":[],"preferred":false,"id":713257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meng, Henan","contributorId":197347,"corporation":false,"usgs":false,"family":"Meng","given":"Henan","email":"","affiliations":[],"preferred":false,"id":713258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Christopher M. 0000-0001-9843-1471 cswarzen@usgs.gov","orcid":"https://orcid.org/0000-0001-9843-1471","contributorId":656,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Christopher","email":"cswarzen@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":713234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Xianwei","contributorId":197348,"corporation":false,"usgs":false,"family":"Wang","given":"Xianwei","email":"","affiliations":[],"preferred":false,"id":713259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tan, Wenwen","contributorId":197349,"corporation":false,"usgs":false,"family":"Tan","given":"Wenwen","email":"","affiliations":[],"preferred":false,"id":713260,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193547,"text":"70193547 - 2017 - Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.","interactions":[],"lastModifiedDate":"2017-11-06T12:23:06","indexId":"70193547","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.","docAbstract":"<p id=\"p0005\">We appreciate Terry and Goff's thoughtful comment in response to our proposed atoll development model. Flank collapse of reef-built slopes likely does affect plan-form atoll morphology in some locations and potentially poses a tsunami hazard to low-lying Pacific islands (Terry and Goff, 2013). However, given the often rapid rates of lagoon infill (&gt; 1 mm/yr; Montaggioni, 2005), such failure events would likely need to be frequent and widespread in order to leave a morphologic imprint on modern western Pacific atoll lagoon depths. Few atoll flank collapse features have been dated but many of the arcuate bight-like structures (ABLS) identified could be inherited from scars incised into the initial volcanic edifice (e.g. Terry and Goff, 2013 and refs. therein) — submarine mass wasting has been extensively documented on young hotspot islands (e.g. Hawaiian Islands: Moore et al., 1989; Reunion: Oehler et al., 2008). Atolls in the Marshall Islands, where our main study site Enewetak Atoll is located, are likely ~ 50–100 million years old (Larson et al., 1995) and dating of adjacent deep-water turbidite aprons in the Nauru Basin (DSDP Site 462; Schlanger and Silva, 1986) suggests that large atoll flank collapse events have been relatively infrequent there since the mid-Miocene (&lt; 11 Ma). In our simple, 1D atoll development model (Toomey et al., 2016a), we included the minimum set of processes (vertical accretion, dissolution, and lagoonal infilling) required to accurately simulate Enewetak's ‘recent’ depositional history (8.5–0 Ma) and explain basic differences in lagoon depth among western Pacific atolls.<br></p><p>We agree future development of a model incorporating the wider range of processes impacting connectivity between reef-bound lagoons and the ocean (e.g. Ouillon et al., 2004; Toomey et al., 2016b), including stochastic mass wasting events, will be essential for exploring the plan-form and 3D shapes of atolls. To our knowledge, no quantitative model of long-term atoll development has explicitly linked lagoon restriction/sedimentation to episodic flank collapse events (e.g. Montaggioni et al., 2015; Paterson et al., 2006; Quinn, 1991; Warrlich et al., 2002). Testing Terry and Goff's proposed conceptual model for how rim failure processes affect atoll morphology in a numerical context will require deep drilling along arcuate bight-like structures, as well as adjacent, unaffected, rim and lagoon areas, in order quantify how often failures occur and how quickly the rim/lagoon is rebuilt afterwards. The model we present here provides a general framework capable of integrating atoll flank collapse processes once they are sufficiently constrained by such observational datasets.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2016.11.028","usgsCitation":"Toomey, M., Ashton, A., Raymo, M.E., and Perron, J.T., 2017, Reply to: Terry, J. and Goff, J. comment on “Late Cenozoic sea level and the rise of modern rimmed atolls” by Toomey et al. (2016), Palaeogeography, Palaeoclimatology, Palaeoecology 4 51: 73–83.: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 469, p. 159-160, https://doi.org/10.1016/j.palaeo.2016.11.028.","productDescription":"2 p.","startPage":"159","endPage":"160","ipdsId":"IP-080565","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":470037,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1016/j.palaeo.2016.11.028","text":"External Repository"},{"id":348264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"469","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e929e4b09af898c8cc01","contributors":{"authors":[{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":719324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ashton, Andrew","contributorId":184098,"corporation":false,"usgs":false,"family":"Ashton","given":"Andrew","affiliations":[],"preferred":false,"id":719325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raymo, Maureen E.","contributorId":184099,"corporation":false,"usgs":false,"family":"Raymo","given":"Maureen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":719326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perron, J. Taylor","contributorId":184100,"corporation":false,"usgs":false,"family":"Perron","given":"J.","email":"","middleInitial":"Taylor","affiliations":[],"preferred":false,"id":719327,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70189335,"text":"70189335 - 2017 - CO2 diffusion into pore spaces limits weathering rate of an experimental basalt landscape","interactions":[],"lastModifiedDate":"2017-07-11T13:28:29","indexId":"70189335","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"CO<sub>2</sub> diffusion into pore spaces limits weathering rate of an experimental basalt landscape","title":"CO2 diffusion into pore spaces limits weathering rate of an experimental basalt landscape","docAbstract":"<p><span>Basalt weathering is a key control over the global carbon cycle, though&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>measurements of carbon cycling are lacking. In an experimental, vegetation-free hillslope containing 330 m</span><sup>3</sup><span><span>&nbsp;</span>of ground basalt scoria, we measured real-time inorganic carbon dynamics within the porous media and seepage flow. The hillslope carbon flux (0.6–5.1 mg C m</span><sup>–2</sup><span><span>&nbsp;</span>h</span><sup>–1</sup><span>) matched weathering rates of natural basalt landscapes (0.4–8.8 mg C m</span><sup>–2</sup><span><span>&nbsp;</span>h</span><sup>–1</sup><span>) despite lacking the expected field-based impediments to weathering. After rainfall, a decrease in CO</span><sub>2</sub><span><span>&nbsp;</span>concentration ([CO</span><sub>2</sub><span>]) in pore spaces into solution suggested rapid carbon sequestration but slow reactant supply. Persistent low soil [CO</span><sub>2</sub><span>] implied that diffusion limited CO</span><sub>2</sub><span><span>&nbsp;</span>supply, while when sufficiently dry, reaction product concentrations limited further weathering. Strong influence of diffusion could cause spatial heterogeneity of weathering even in natural settings, implying that modeling studies need to include variable soil [CO</span><sub>2</sub><span>] to improve carbon cycling estimates associated with potential carbon sequestration methods.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G38569.1","usgsCitation":"van Haren, J., Dontsova, K., Barron-Gafford, G.A., Troch, P.A., Chorover, J., DeLong, S.B., Breshears, D.D., Huxman, T.E., Pelletier, J.D., Saleska, S., Zeng, X., and Ruiz, J., 2017, CO2 diffusion into pore spaces limits weathering rate of an experimental basalt landscape: Geology, v. 45, no. 3, p. 203-206, https://doi.org/10.1130/G38569.1.","productDescription":"4 p.","startPage":"203","endPage":"206","ipdsId":"IP-066104","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":343578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5965b210e4b0d1f9f05b37d4","contributors":{"authors":[{"text":"van Haren, Joost","contributorId":139489,"corporation":false,"usgs":false,"family":"van Haren","given":"Joost","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dontsova, Katerina","contributorId":139473,"corporation":false,"usgs":false,"family":"Dontsova","given":"Katerina","email":"","affiliations":[{"id":12774,"text":"Biosphere 2","active":true,"usgs":false}],"preferred":false,"id":704210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barron-Gafford, Greg A.","contributorId":19058,"corporation":false,"usgs":false,"family":"Barron-Gafford","given":"Greg","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Troch, Peter A.","contributorId":93704,"corporation":false,"usgs":false,"family":"Troch","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chorover, Jon 0000-0001-9497-0195","orcid":"https://orcid.org/0000-0001-9497-0195","contributorId":139472,"corporation":false,"usgs":false,"family":"Chorover","given":"Jon","email":"","affiliations":[],"preferred":false,"id":704213,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":704214,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breshears, David D.","contributorId":51620,"corporation":false,"usgs":false,"family":"Breshears","given":"David","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704215,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huxman, Travis E.","contributorId":53898,"corporation":false,"usgs":false,"family":"Huxman","given":"Travis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":704216,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pelletier, Jon D.","contributorId":22657,"corporation":false,"usgs":false,"family":"Pelletier","given":"Jon","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":704217,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Saleska, Scott","contributorId":139485,"corporation":false,"usgs":false,"family":"Saleska","given":"Scott","email":"","affiliations":[],"preferred":false,"id":704218,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zeng, Xubin","contributorId":139490,"corporation":false,"usgs":false,"family":"Zeng","given":"Xubin","email":"","affiliations":[],"preferred":false,"id":704219,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ruiz, Joaquin","contributorId":87967,"corporation":false,"usgs":false,"family":"Ruiz","given":"Joaquin","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":704220,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70192028,"text":"70192028 - 2017 - Spatial and temporal genetic analysis of Walleyes in the Ohio River","interactions":[],"lastModifiedDate":"2017-10-24T13:36:42","indexId":"70192028","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal genetic analysis of Walleyes in the Ohio River","docAbstract":"<p><span>Previous genetic analyses have shown that Walleyes&nbsp;</span><i>Sander vitreus</i><span><span>&nbsp;</span>in the upper Ohio River comprise two distinct genetic strains: (1) fish of Great Lakes origin that were stocked into the Ohio River basin and (2) a remnant native strain (Highlands strain). Resource agencies are developing management strategies to conserve and restore the native strain within the upper reaches of the Ohio River. Hybridization between strains has impacted the genetic integrity of the native strain. To better understand the extent and effects of hybridization on the native strain, we used mitochondrial DNA and microsatellite markers to evaluate the spatial (river sections) and temporal (pre- and poststocking) genetic diversity of Ohio River Walleyes. Contemporary Lake Erie Walleyes and archival museum specimens collected from the Ohio River basin were used for comparison to contemporary Ohio River samples. Although there was evidence of hybridization between strains, most of the genetic diversity within the Ohio River was partitioned by basin of origin (Great Lakes versus the Ohio River), with greater similarity among river sections than between strains within the same section. Results also suggested that the native strain has diverged from historical populations. Furthermore, notable decreases in measures of genetic diversity and increased relatedness among native-strain Walleyes within two sections of the Ohio River may be related to stocking aimed at restoration of the Highlands strain. Our results suggest that although the Highlands strain persists within the Ohio River, it has diverged over time, and managers should consider the potential impacts of future management practices on the genetic diversity of this native strain.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1360393","usgsCitation":"Page, K.S., Zweifela, R.D., and Stott, W., 2017, Spatial and temporal genetic analysis of Walleyes in the Ohio River: Transactions of the American Fisheries Society, v. 146, no. 6, p. 1168-1185, https://doi.org/10.1080/00028487.2017.1360393.","productDescription":"18 p.","startPage":"1168","endPage":"1185","ipdsId":"IP-086394","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":347241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Ohio River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.36376953125,\n              38.298559092254344\n            ],\n            [\n              -79.793701171875,\n              38.298559092254344\n            ],\n            [\n              -79.793701171875,\n              40.94671366508002\n            ],\n            [\n              -85.36376953125,\n              40.94671366508002\n            ],\n            [\n              -85.36376953125,\n              38.298559092254344\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"146","issue":"6","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1d9d","contributors":{"authors":[{"text":"Page, Kevin S.","contributorId":49318,"corporation":false,"usgs":true,"family":"Page","given":"Kevin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":713878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zweifela, Richard D.","contributorId":59322,"corporation":false,"usgs":true,"family":"Zweifela","given":"Richard","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":713879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stott, Wendylee wstott@usgs.gov","contributorId":3763,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":713877,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70192085,"text":"70192085 - 2017 - South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers","interactions":[],"lastModifiedDate":"2017-10-19T15:26:47","indexId":"70192085","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"title":"South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers","docAbstract":"<p><span>In the Ross Sea region, most South Polar Skuas (</span><i class=\"EmphasisTypeItalic \">Stercorarius maccormicki</i><span>) nest near Adélie Penguin (</span><i class=\"EmphasisTypeItalic \">Pygoscelis adeliae</i><span>) colonies, preying and scavenging on fish, penguins, and other carrion. To derive a relationship to predict skua numbers from better-quantified penguin numbers, we used distance sampling to estimate breeding skua numbers within 1000&nbsp;m of 5 penguin nesting locations (Cape Crozier, Cape Royds, and 3 Cape Bird locations) on Ross Island in 3 consecutive years. Estimated numbers of skua breeding pairs were highest at Cape Crozier (270,000 penguin pairs; 1099 and 1347 skua pairs in 2 respective years) and lowest at Cape Royds (3000 penguin pairs; 45 skua pairs). The log–log linear relationship (</span><i class=\"EmphasisTypeItalic \">R</i><sup>2</sup><span>&nbsp;=&nbsp;0.98) between pairs of skuas and penguins was highly significant, and most historical estimates of skua and penguin numbers in the Ross Sea were within 95&nbsp;% prediction intervals of the regression. Applying our regression model to current Adélie Penguin colony sizes at 23 western Ross Sea locations predicted that 4635 pairs of skuas now breed within 1000&nbsp;m of penguin colonies in the Ross Island metapopulation (including Beaufort Island) and northern Victoria Land. We estimate, using published skua estimates for elsewhere in Antarctica, that the Ross Sea South Polar Skua population comprises ~50&nbsp;% of the world total, although this may be an overestimate because of incomplete data elsewhere. To improve predictions and enable measurement of future skua population change, we recommend additional South Polar Skua surveys using consistent distance-sampling methods at penguin colonies of a range of sizes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-016-1980-4","usgsCitation":"Wilson, D.J., Lyver, P.O., Greene, T.C., Whitehead, A.L., Dugger, K., Karl, B.J., Barringer, J.R., McGarry, R., Pollard, A.M., and Ainley, D.G., 2017, South Polar Skua breeding populations in the Ross Sea assessed from demonstrated relationship with Adélie Penguin numbers: Polar Biology, v. 40, no. 3, p. 577-592, https://doi.org/10.1007/s00300-016-1980-4.","productDescription":"16 p.","startPage":"577","endPage":"592","ipdsId":"IP-067093","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":346998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":" Ross Island","volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"59e9b995e4b05fe04cd65ca2","contributors":{"authors":[{"text":"Wilson, Deborah J.","contributorId":197733,"corporation":false,"usgs":false,"family":"Wilson","given":"Deborah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyver, Phil O’B.","contributorId":197706,"corporation":false,"usgs":false,"family":"Lyver","given":"Phil","email":"","middleInitial":"O’B.","affiliations":[],"preferred":false,"id":714162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greene, Terry C.","contributorId":197734,"corporation":false,"usgs":false,"family":"Greene","given":"Terry","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":714163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitehead, Amy L.","contributorId":197735,"corporation":false,"usgs":false,"family":"Whitehead","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":714164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":714109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Karl, Brian J.","contributorId":197736,"corporation":false,"usgs":false,"family":"Karl","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barringer, James R. F.","contributorId":197737,"corporation":false,"usgs":false,"family":"Barringer","given":"James","email":"","middleInitial":"R. F.","affiliations":[],"preferred":false,"id":714166,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McGarry, Roger","contributorId":197738,"corporation":false,"usgs":false,"family":"McGarry","given":"Roger","email":"","affiliations":[],"preferred":false,"id":714167,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pollard, Annie M.","contributorId":197739,"corporation":false,"usgs":false,"family":"Pollard","given":"Annie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714168,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":714169,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70194528,"text":"70194528 - 2017 - Petrology and geochronology of Mesoproterozoic basement of the Mount Rogers area of southwestern Virginia and northwestern North Carolina: Implications for the Precambrian tectonic evolution of the southern Blue Ridge province","interactions":[],"lastModifiedDate":"2017-12-04T11:12:54","indexId":"70194528","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Petrology and geochronology of Mesoproterozoic basement of the Mount Rogers area of southwestern Virginia and northwestern North Carolina: Implications for the Precambrian tectonic evolution of the southern Blue Ridge province","docAbstract":"<p><span>Results from new geologic mapping, SHRIMP U-Pb geochronology, and petrologic studies indicate that Mesoproterozoic basement in the northern French Broad massif near Mount Rogers consists of multiple, mostly granitic plutons, map- and outcrop-scale xenoliths of pre-existing crustal rocks, and remnants of formerly overlying meta-sedimentary lithologies. Zircon and titanite ages demonstrate that these rocks collectively record nearly 350 m.y. of tectonic evolution including periods of igneous intrusion at&nbsp;</span><i>ca</i><span>. 1190 to 1130 Ma (Early Magmatic Suite) and<span>&nbsp;</span></span><i>ca</i><span>. 1075 to 1030 Ma (Late Magmatic Suite) and three episodes of regional metamorphism at<span>&nbsp;</span></span><i>ca</i><span>. 1170 to 1140, 1070 to 1020, and 1000 to 970 Ma. The existence of<span>&nbsp;</span></span><i>ca</i><span>. 1.3 Ga age crust is indicated by (1) orthogranofels of<span>&nbsp;</span></span><i>ca</i><span>. 1.32 Ga age in a map-scale xenolith, (2) inherited zircons of<span>&nbsp;</span></span><i>ca</i><span>. 1.33 to 1.29 Ga age in Early Magmatic Suite plutons, and (3)<span>&nbsp;</span></span><i>ca</i><span>. 1.36 to 1.30 Ga age detrital zircons in meta-sedimentary lithologies. Mineral assemblages developed in amphibolites and granofelses indicate that metamorphism during both Mesoproterozoic episodes occurred at upper amphibolite- to lower granulite-facies conditions. Syn-orogenic Early Magmatic Suite plutons emplaced at<span>&nbsp;</span></span><i>ca</i><span>. 1190 to 1145 Ma are characterized by high-K, variably magnesian, dominantly calc-alkalic compositions, and have trace-element characteristics indicative of continental-arc magmatic origin involving melting of thick continental crust. In contrast,<span>&nbsp;</span></span><i>ca</i><span>. 1140 Ma age quartz syenite displays A-type features indicating derivation from depleted crustal sources with increased mantle input during waning stages of regional contraction. Plutons of the compositionally bimodal Late Magmatic Suite include (1)<span>&nbsp;</span></span><i>ca</i><span>. 1060 Ma meta-granite with geochemical characteristics transitional between silicic rocks of arc systems and post-collisional granites of A-type lineage, and (2)<span>&nbsp;</span></span><i>ca</i><span>. 1055 Ma monzodioritic rocks with A-type compositional characteristics that likely reflect derivation from fertile, mafic sources in the lower crust. Collectively, these data suggest that Mesoproterozoic rocks of the study area preserve evidence of multiple orogenic episodes that likely involved continental-arc development and deformation at<span>&nbsp;</span></span><i>ca</i><span>. 1150 Ma followed by crustal thickening at<span>&nbsp;</span></span><i>ca</i><span>. 1060 Ma. Field relations and geochronologic data indicate that regional uplift and sedimentation occurred at<span>&nbsp;</span></span><i>ca</i><span>. 1100 Ma between the two episodes of overlapping magmatism and orogenesis. The nature and timing of Mesoproterozoic events recorded in basement rocks of the study area illustrate significant differences in the lithologic assemblages and geologic history preserved by Mesoproterozoic basement of the adjacent Shenandoah and French Broad massifs, suggesting that the Blue Ridge massifs occupied different locations within the regional Grenville-age orogen until about 1070 Ma when the effects of Ottawan-age tectonics began to affect both areas. The near ubiquity of Ottawan-age orogenic activity recorded in Mesoproterozoic rocks of the Blue Ridge, other Appalachian inliers such as the New Jersey Highlands, and the Grenville province of Canada, including the Adirondacks, suggests that these formerly disparate terranes were amalgamated to form a common, regional orogen by this time.</span></p>","language":"English","publisher":"American Journal of Science","doi":"10.2475/03.2017.01","usgsCitation":"Tollo, R.P., Aleinikoff, J.N., Dickin, A.P., Radwany, M.S., Southworth, C.S., and Fanning, C.M., 2017, Petrology and geochronology of Mesoproterozoic basement of the Mount Rogers area of southwestern Virginia and northwestern North Carolina: Implications for the Precambrian tectonic evolution of the southern Blue Ridge province: American Journal of Science, v. 317, no. 3, p. 251-337, https://doi.org/10.2475/03.2017.01.","productDescription":"87 p.","startPage":"251","endPage":"337","ipdsId":"IP-080746","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349652,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.625,\n              36.5\n            ],\n            [\n              -81.25,\n              36.5\n            ],\n            [\n              -81.25,\n              36.75\n            ],\n            [\n              -81.625,\n              36.75\n            ],\n            [\n              -81.625,\n              36.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"317","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-11","publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238b8","contributors":{"authors":[{"text":"Tollo, Richard P.","contributorId":196682,"corporation":false,"usgs":false,"family":"Tollo","given":"Richard","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":724318,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dickin, Alan P.","contributorId":201096,"corporation":false,"usgs":false,"family":"Dickin","given":"Alan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":724319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Radwany, Molly S.","contributorId":201104,"corporation":false,"usgs":false,"family":"Radwany","given":"Molly","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":724320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Southworth, C. Scott 0000-0002-7976-7807 ssouthwo@usgs.gov","orcid":"https://orcid.org/0000-0002-7976-7807","contributorId":1608,"corporation":false,"usgs":true,"family":"Southworth","given":"C.","email":"ssouthwo@usgs.gov","middleInitial":"Scott","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":724322,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fanning, C. Mark","contributorId":193428,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":724321,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194267,"text":"70194267 - 2017 - Current limitations and recommendations to improve testing for the environmental assessment of endocrine active substances","interactions":[],"lastModifiedDate":"2017-11-22T13:24:00","indexId":"70194267","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Current limitations and recommendations to improve testing for the environmental assessment of endocrine active substances","docAbstract":"<p><span>In the present study, existing regulatory frameworks and test systems for assessing potential endocrine active chemicals are described, and associated challenges are discussed, along with proposed approaches to address these challenges. Regulatory frameworks vary somewhat across geographies, but all basically evaluate whether a chemical possesses endocrine activity and whether this activity can result in adverse outcomes either to humans or to the environment. Current test systems include in silico, in vitro, and in vivo techniques focused on detecting potential endocrine activity, and in vivo tests that collect apical data to detect possible adverse effects. These test systems are currently designed to robustly assess endocrine activity and/or adverse effects in the estrogen, androgen, and thyroid hormone signaling pathways; however, there are some limitations of current test systems for evaluating endocrine hazard and risk. These limitations include a lack of certainty regarding: 1) adequately sensitive species and life stages; 2) mechanistic endpoints that are diagnostic for endocrine pathways of concern; and 3) the linkage between mechanistic responses and apical, adverse outcomes. Furthermore, some existing test methods are resource intensive with regard to time, cost, and use of animals. However, based on recent experiences, there are opportunities to improve approaches to and guidance for existing test methods and to reduce uncertainty. For example, in vitro high-throughput screening could be used to prioritize chemicals for testing and provide insights as to the most appropriate assays for characterizing hazard and risk. Other recommendations include adding endpoints for elucidating connections between mechanistic effects and adverse outcomes, identifying potentially sensitive taxa for which test methods currently do not exist, and addressing key endocrine pathways of possible concern in addition to those associated with estrogen, androgen, and thyroid signaling.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.1862","usgsCitation":"Coady, K., Biever, R.C., Denslow, N., Gross, M., Guiney, P., Holbech, H., Karouna-Renier, N.K., Katsiadaki, I., Krueger, H., Levine, S., Maack, G., Williams, M., Wolf, J.C., and Ankley, G., 2017, Current limitations and recommendations to improve testing for the environmental assessment of endocrine active substances: Integrated Environmental Assessment and Management, v. 13, no. 2, p. 302-316, https://doi.org/10.1002/ieam.1862.","productDescription":"15 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,{"id":70194268,"text":"70194268 - 2017 - Recommended approaches to the scientific evaluation of ecotoxicological hazards and risks of endocrine-active substances","interactions":[],"lastModifiedDate":"2017-11-22T12:01:34","indexId":"70194268","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Recommended approaches to the scientific evaluation of ecotoxicological hazards and risks of endocrine-active substances","docAbstract":"<p><span>A SETAC Pellston Workshop</span><sup>®</sup><span><span>&nbsp;</span>“Environmental Hazard and Risk Assessment Approaches for Endocrine-Active Substances (EHRA)” was held in February 2016 in Pensacola, Florida, USA. The primary objective of the workshop was to provide advice, based on current scientific understanding, to regulators and policy makers; the aim being to make considered, informed decisions on whether to select an ecotoxicological hazard- or a risk-based approach for regulating a given endocrine-disrupting substance (EDS) under review. The workshop additionally considered recent developments in the identification of EDS. Case studies were undertaken on 6 endocrine-active substances (EAS—not necessarily proven EDS, but substances known to interact directly with the endocrine system) that are representative of a range of perturbations of the endocrine system and considered to be data rich in relevant information at multiple biological levels of organization for 1 or more ecologically relevant taxa. The substances selected were 17α-ethinylestradiol, perchlorate, propiconazole, 17β-trenbolone, tributyltin, and vinclozolin. The 6 case studies were not comprehensive safety evaluations but provided foundations for clarifying key issues and procedures that should be considered when assessing the ecotoxicological hazards and risks of EAS and EDS. The workshop also highlighted areas of scientific uncertainty, and made specific recommendations for research and methods-development to resolve some of the identified issues. The present paper provides broad guidance for scientists in regulatory authorities, industry, and academia on issues likely to arise during the ecotoxicological hazard and risk assessment of EAS and EDS. The primary conclusion of this paper, and of the SETAC Pellston Workshop on which it is based, is that if data on environmental exposure, effects on sensitive species and life-stages, delayed effects, and effects at low concentrations are robust, initiating environmental risk assessment of EDS is scientifically sound and sufficiently reliable and protective of the environment. In the absence of such data, assessment on the basis of hazard is scientifically justified until such time as relevant new information is available.</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.1885","usgsCitation":"Matthiessen, P., Ankley, G.T., Biever, R.C., Bjerregaard, P., Borgert, C., Brugger, K., Blankinship, A., Chambers, J., Coady, K.K., Constantine, L., Dang, Z., Denslow, N.D., Dreier, D., Dungey, S., Gray, L.E., Gross, M., Guiney, P.D., Hecker, M., Holbech, H., Iguchi, T., Kadlec, S., Karouna-Renier, N.K., Katsiadaki, I., Kawashima, Y., Kloas, W., Krueger, H., Kumar, A., Lagadic, L., Leopold, A., Levine, S.L., Maack, G., Marty, S., Meador, J., Mihaich, E., Odum, J., Ortego, L., Parrott, J.L., Pickford, D., Roberts, M., Schaefers, C., Schwarz, T., Solomon, K., Verslycke, T., Weltje, L., Wheeler, J.R., Williams, M., Wolf, J.C., and Yamazaki, K., 2017, Recommended approaches to the scientific evaluation of ecotoxicological hazards and risks of endocrine-active substances: Integrated Environmental Assessment and Management, v. 13, no. 2, p. 267-279, https://doi.org/10.1002/ieam.1885.","productDescription":"13 p.","startPage":"267","endPage":"279","ipdsId":"IP-075958","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470031,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.1885","text":"Publisher Index Page"},{"id":349274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-01","publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238bf","contributors":{"authors":[{"text":"Matthiessen, 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,{"id":70190053,"text":"70190053 - 2017 - Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","interactions":[],"lastModifiedDate":"2017-08-08T10:52:14","indexId":"70190053","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake","docAbstract":"<p>An uncommon coastal sedimentary record combines evidence for seismic shaking and coincident tsunami inundation since AD 1000 in the region of the largest earthquake recorded instrumentally: the giant 1960 southern Chile earthquake (Mw 9.5). The record reveals significant variability in the size and recurrence of megathrust earthquakes and ensuing tsunamis along this part of the Nazca-South American plate boundary. A 500-m long coastal outcrop on Isla Chiloé, midway along the 1960 rupture, provides continuous exposure of soil horizons buried locally by debris-flow diamicts and extensively by tsunami sand sheets. The diamicts flattened plants that yield geologically precise ages to correlate with well-dated evidence elsewhere. The 1960 event was preceded by three earthquakes that probably resembled it in their effects, in AD 898 - 1128, 1300 - 1398 and 1575, and by five relatively smaller intervening earthquakes. Earthquakes and tsunamis recurred exceptionally often between AD 1300 and 1575. Their average recurrence interval of 85 years only slightly exceeds the time already elapsed since 1960. This inference is of serious concern because no earthquake has been anticipated in the region so soon after the 1960 event, and current plate locking suggests that some segments of the boundary are already capable of producing large earthquakes. This long-term earthquake and tsunami history of one of the world's most seismically active subduction zones provides an example of variable rupture mode, in which earthquake size and recurrence interval vary from one earthquake to the next.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.12.007","usgsCitation":"Cisternas, M., Garrett, E., Wesson, R.L., Dura, T., and Ely, L.L., 2017, Unusual geologic evidence of coeval seismic shaking and tsunamis shows variability in earthquake size and recurrence in the area of the giant 1960 Chile earthquake: Marine Geology, v. 385, no. 1 March 2017, p. 101-113, https://doi.org/10.1016/j.margeo.2016.12.007.","productDescription":"13 p.","startPage":"101","endPage":"113","ipdsId":"IP-083320","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470047,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/file/1364141/1/Accepted%20Journal%20Article","text":"External Repository"},{"id":344645,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://ars.els-cdn.com/content/image/1-s2.0-S0025322716X00138-cov150h.gif"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -74.619140625,\n              -43.46089378008257\n            ],\n            [\n              -73.19091796875,\n              -43.46089378008257\n            ],\n            [\n              -73.19091796875,\n              -41.73033005046652\n            ],\n            [\n              -74.619140625,\n              -41.73033005046652\n            ],\n            [\n              -74.619140625,\n              -43.46089378008257\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"385","issue":"1 March 2017","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598acddce4b09fa1cb0e13db","contributors":{"authors":[{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":707338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrett, E","contributorId":195524,"corporation":false,"usgs":false,"family":"Garrett","given":"E","email":"","affiliations":[],"preferred":false,"id":707339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":707340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dura, T.","contributorId":193399,"corporation":false,"usgs":false,"family":"Dura","given":"T.","affiliations":[],"preferred":false,"id":707341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, L. L","contributorId":193400,"corporation":false,"usgs":false,"family":"Ely","given":"L.","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":707342,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193265,"text":"70193265 - 2017 - Integrating multiple data sources in species distribution modeling: A framework for data fusion","interactions":[],"lastModifiedDate":"2018-12-20T12:52:54","indexId":"70193265","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating multiple data sources in species distribution modeling: A framework for data fusion","docAbstract":"<p>The last decade has seen a dramatic increase in the use of species distribution models (SDMs) to characterize patterns of species’ occurrence and abundance. Efforts to parameterize SDMs often create a tension between the quality and quantity of data available to fit models. Estimation methods that integrate both standardized and non-standardized data types offer a potential solution to the tradeoff between data quality and quantity. Recently several authors have developed approaches for jointly modeling two sources of data (one of high quality and one of lesser quality). We extend their work by allowing for explicit spatial autocorrelation in occurrence and detection error using a Multivariate Conditional Autoregressive (MVCAR) model and develop three models that share information in a less direct manner resulting in more robust performance when the auxiliary data is of lesser quality. We describe these three new approaches (“Shared,” “Correlation,” “Covariates”) for combining data sources and show their use in a case study of the Brown-headed Nuthatch in the Southeastern U.S. and through simulations. All three of the approaches which used the second data source improved out-of-sample predictions relative to a single data source (“Single”). When information in the second data source is of high quality, the Shared model performs the best, but the Correlation and Covariates model also perform well. When the information quality in the second data source is of lesser quality, the Correlation and Covariates model performed better suggesting they are robust alternatives when little is known about auxiliary data collected opportunistically or through citizen scientists. Methods that allow for both data types to be used will maximize the useful information available for estimating species distributions.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ecy.1710","usgsCitation":"Pacifici, K., Reich, B.J., Miller, D.A., Gardner, B., Stauffer, G.E., Singh, S., McKerrow, A., and Collazo, J., 2017, Integrating multiple data sources in species distribution modeling: A framework for data fusion: Ecology, v. 98, no. 3, p. 840-850, https://doi.org/10.1002/ecy.1710.","productDescription":"11 p.","startPage":"840","endPage":"850","ipdsId":"IP-073421","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":470049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.1710","text":"Publisher Index Page"},{"id":348018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59fadd24e4b0531197b13cad","contributors":{"authors":[{"text":"Pacifici, Krishna","contributorId":26564,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Brian J.","contributorId":150871,"corporation":false,"usgs":false,"family":"Reich","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W. davidmiller@usgs.gov","contributorId":4043,"corporation":false,"usgs":true,"family":"Miller","given":"David","email":"davidmiller@usgs.gov","middleInitial":"A.W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":719050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":719051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stauffer, Glenn E.","contributorId":171536,"corporation":false,"usgs":false,"family":"Stauffer","given":"Glenn","email":"","middleInitial":"E.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":719052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Singh, Susheela","contributorId":11646,"corporation":false,"usgs":false,"family":"Singh","given":"Susheela","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":719061,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":719062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719063,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70193819,"text":"70193819 - 2017 - Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting","interactions":[],"lastModifiedDate":"2020-03-10T06:52:56","indexId":"70193819","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1574,"text":"Environmental & Engineering Geoscience","printIssn":"1078-7275","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting","docAbstract":"Longitudinal discharge and water-quality campaigns (seepage runs) were combined with surface-geophysical surveys, hyporheic-temperature profiling, and watershed-scale hydrological monitoring to evaluate the locations, magnitude, and impact of streamwater losses from the West Creek subbasin of the West West Branch Schuylkill River into the underground Oak Hill Mine complex that extends beneath the watershed divide. Abandoned mine drainage (AMD), containing iron and other contaminants, from the Oak Hill Boreholes to the West Branch Schuylkill River was sustained during low-flow conditions and correlated to streamflow lost through the West Creek streambed. During high-flow conditions, streamflow was transmitted throughout West Creek; however, during low-flow conditions, all streamflow from the perennial headwaters was lost within the 300-to-600-m \"upper reach\" where an 1889 mine map indicated steeply dipping coalbeds underlie the channel. During low-flow conditions, the channel within the \"intermediate reach\" 700-to-1650-m downstream gained groundwater seepage with higher pH and specific conductance than upstream; however, all streamflow 1650-to-2050-m downstream was lost to underlying mines. Electrical resistivity and electromagnetic conductivity surveys indicated conductive zones beneath the upper reach, where flow loss occurred, and through the intermediate reach, where gains and losses occurred. Temperature probes at 0.06-to-0.10-m depth within the hyporheic zone of the intermediate reach indicated potential downward fluxes as high as 2.1x10-5 m/s. Cumulative streamflow lost from West Creek during seepage runs averaged 53.4 L/s, which equates to 19.3 percent of the daily average discharge of AMD from the Oak Hill Boreholes and a downward flux of 1.70x10-5 m/s across the 2.1-km-by-1.5-m West Creek stream-channel area.","language":"English","publisher":"Association of Environmental & Engineering Geologists","doi":"10.2113/gseegeosci.23.4.243","usgsCitation":"Cravotta, C., Sherrod, L., Galeone, D.G., Lehman, W.G., Ackman, T.E., and Kramer, A., 2017, Hydrological and geophysical investigation of streamflow losses and restoration strategies in an abandoned mine lands setting: Environmental & Engineering Geoscience, v. 23, no. 4, p. 243-273, https://doi.org/10.2113/gseegeosci.23.4.243.","productDescription":"31 p.","startPage":"243","endPage":"273","ipdsId":"IP-082023","costCenters":[{"id":532,"text":"Pennsylvania Water Science 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III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":196993,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":720602,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Laura","contributorId":200005,"corporation":false,"usgs":false,"family":"Sherrod","given":"Laura","email":"","affiliations":[{"id":35676,"text":"Kutztown University Department of Physical Sciences, P.O. Box 730, Kutztown, PA 19530","active":true,"usgs":false}],"preferred":false,"id":720603,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Wayne G.","contributorId":200006,"corporation":false,"usgs":false,"family":"Lehman","given":"Wayne","email":"","middleInitial":"G.","affiliations":[{"id":35677,"text":"Schuylkill Conservation District, 1206 AG Center Dr, Pottsville, PA 17901","active":true,"usgs":false}],"preferred":false,"id":720604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackman, Terry E.","contributorId":200007,"corporation":false,"usgs":false,"family":"Ackman","given":"Terry","email":"","middleInitial":"E.","affiliations":[{"id":35678,"text":"M T Water Management, Inc., 438 Old Clairton Rd., Jefferson Hills, PA 15025","active":true,"usgs":false}],"preferred":false,"id":720605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kramer, Alexa","contributorId":200008,"corporation":false,"usgs":false,"family":"Kramer","given":"Alexa","email":"","affiliations":[{"id":35679,"text":"Schuylkill Headwaters Association, Inc., 1206 AG Center Dr, Pottsville, PA","active":true,"usgs":false}],"preferred":false,"id":720607,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194487,"text":"70194487 - 2017 - Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex","interactions":[],"lastModifiedDate":"2017-11-29T15:36:35","indexId":"70194487","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex","docAbstract":"<p><span>Multiple styles of failure, ranging from densely spaced, mass transport driven canyons to the large, slab-type slope failure of the Currituck Slide, characterize adjacent sections of the central U.S. Atlantic margin that appear to be defined by variations in geologic framework. Here we use regionally extensive, deep penetration multichannel seismic (MCS) profiles to reconstruct the influence of the antecedent margin physiography on sediment accumulation along the central U.S. Atlantic continental shelf-edge, slope, and uppermost rise from the Miocene to Present. These data are combined with high-resolution sparker MCS reflection profiles and multibeam bathymetry data across the Currituck Slide Complex. Pre-Neogene allostratigraphic horizons beneath the slope are generally characterized by low gradients and convex downslope profiles. This is followed by the development of thick, prograded deltaic clinoforms during the middle Miocene. Along-strike variations in morphology of a regional unconformity at the top of this middle Miocene unit appear to have set the stage for differing styles of mass transport along the margin. Areas north and south of the Currituck Slide are characterized by oblique margin morphology, defined by an angular shelf-edge and a relatively steep (&gt;</span><span>&nbsp;</span><span>8°), concave slope profile. Upper slope sediment bypass, closely spaced submarine canyons, and small, localized landslides confined to canyon heads and sidewalls characterize these sectors of the margin. In contrast, the Currituck region is defined by a sigmoidal geometry, with a rounded shelf-edge rollover and gentler slope gradient (&lt;</span><span>&nbsp;</span><span>6°). Thick (&gt;</span><span>&nbsp;</span><span>800</span><span>&nbsp;</span><span>m), regionally continuous stratified slope deposits suggest the low gradient Currituck region was a primary depocenter for fluvial inputs during multiple sea level lowstands. These results imply that the rounded, gentle slope physiography developed during the middle Miocene allowed for a relatively high rate of subsequent sediment accumulation, thus providing a mechanism for compaction–induced overpressure that preconditioned the Currituck region for failure. Detailed examination of the regional geological framework illustrates the importance of both sediment supply and antecedent slope physiography in the development of large, potentially unstable depocenters along passive margins.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.10.007","usgsCitation":"Hill, J.C., Brothers, D., Craig, B.K., ten Brink, U., Chaytor, J.D., and Flores, C., 2017, Geologic controls on submarine slope failure along the central U.S. Atlantic margin: Insights from the Currituck Slide Complex: Marine Geology, v. 385, p. 114-130, https://doi.org/10.1016/j.margeo.2016.10.007.","productDescription":"17 p.","startPage":"114","endPage":"130","ipdsId":"IP-075947","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2016.10.007","text":"Publisher Index Page"},{"id":349576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.5,\n              35\n            ],\n            [\n              -74,\n              35\n            ],\n            [\n              -74,\n              37\n            ],\n            [\n              -75.5,\n              37\n            ],\n            [\n              -75.5,\n              35\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"385","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc05e4b06e28e9c238bb","contributors":{"authors":[{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brothers, Daniel S. dbrothers@usgs.gov","contributorId":3782,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","email":"dbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craig, Bradley K.","contributorId":201005,"corporation":false,"usgs":false,"family":"Craig","given":"Bradley","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":724079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":724080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaytor, Jason D. jchaytor@usgs.gov","contributorId":127559,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flores, Claudia cflores@usgs.gov","contributorId":4265,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":724082,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189627,"text":"70189627 - 2017 - Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","interactions":[],"lastModifiedDate":"2018-03-29T11:32:05","indexId":"70189627","displayToPublicDate":"2017-03-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory","docAbstract":"<p><span>Seismic noise induced by atmospheric processes such as wind and pressure changes can be a major contributor to the background noise observed in many seismograph stations, especially those installed at or near the surface. Cultural noise such as vehicle traffic or nearby buildings with air handling equipment also contributes to seismic background noise. Such noise sources fundamentally limit our ability to resolve earthquake‐generated signals. Many previous seismic noise versus depth studies focused separately on either high‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-4\" class=\"mn\">1</span><span id=\"MathJax-Span-5\" class=\"mtext\">  </span><span id=\"MathJax-Span-6\" class=\"mi\">Hz</span></span></span></span></span></span></span><span>) or low‐frequency (</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; rspace=&quot;0em&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>0.05</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-10\" class=\"mn\">0.05</span><span id=\"MathJax-Span-11\" class=\"mtext\">  </span><span id=\"MathJax-Span-12\" class=\"mi\">Hz</span></span></span></span></span></span></span><span>) bands. In this study, we use modern high‐quality broadband (BB) and very broadband (VBB) seismometers installed at depths ranging from 1.5 to 188&nbsp;m at the Albuquerque Seismological Laboratory to evaluate noise attenuation as a function of depth over a broad range of frequencies (0.002–50&nbsp;Hz). Many modern seismometer deployments use BB or VBB seismometers installed at various depths, depending on the application. These depths range from one‐half meter or less in aftershock study deployments, to one or two meters in the Incorporated Research Institutions for Seismology Transportable Array (TA), to a few meters (shallow surface vaults) up to 100&nbsp;m or more (boreholes) in the permanent observatories of the Global Seismographic Network (GSN). It is important for managers and planners of these and similar arrays and networks of seismograph stations to understand the attenuation of surface‐generated noise versus depth so that they can achieve desired performance goals within their budgets as well as their frequency band of focus. The results of this study will assist in decisions regarding BB and VBB seismometer installation depths. In general, we find that greater installation depths are better and seismometer emplacement in hard rock is better than in soil. Attenuation for any given depth varies with frequency. More specifically, we find that the dependence of depth will be application dependent based on the frequency band and sensitive axes of interest. For quick deployments (like aftershock studies), 1&nbsp;m may be deep enough to produce good data, especially when the focus is on vertical data where temperature stability fundamentally limits the low‐frequency noise levels and little low‐frequency data will be used. For temporary (medium‐term) deployments (e.g., TA) where low cost can be very important, 2–3&nbsp;m should be sufficient, but such shallow installations will limit the ability to resolve low‐frequency signals, especially on horizontal components. Of course, one should try for maximum burial depth within the budget when there is interest in using the data for low‐frequency applications. For long‐term deployments like the permanent observatories of the GSN and similar networks, 100–200&nbsp;m depth in hard rock is desirable to achieve lowest noise, although 30–60&nbsp;m may be acceptable.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120160187","usgsCitation":"Hutt, C.R., Ringler, A.T., and Gee, L., 2017, Broadband seismic noise attenuation versus depth at the Albuquerque Seismological Laboratory: Bulletin of the Seismological Society of America, v. 107, no. 3, p. 1402-1412, https://doi.org/10.1785/0120160187.","productDescription":"11 p.","startPage":"1402","endPage":"1412","ipdsId":"IP-082061","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352932,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-21","publicationStatus":"PW","scienceBaseUri":"5afee8c4e4b0da30c1bfc4a4","contributors":{"authors":[{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gee, Lind 0000-0003-2883-9847 lgee@usgs.gov","orcid":"https://orcid.org/0000-0003-2883-9847","contributorId":193064,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705489,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}