{"pageNumber":"1039","pageRowStart":"25950","pageSize":"25","recordCount":165485,"records":[{"id":70185041,"text":"70185041 - 2016 - Invariant polar bear habitat selection during a period of sea ice loss","interactions":[],"lastModifiedDate":"2017-03-15T13:52:56","indexId":"70185041","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Invariant polar bear habitat selection during a period of sea ice loss","docAbstract":"<p><span>Climate change is expected to alter many species' habitat. A species' ability to adjust to these changes is partially determined by their ability to adjust habitat selection preferences to new environmental conditions. Sea ice loss has forced polar bears (</span><i>Ursus maritimus</i><span>) to spend longer periods annually over less productive waters, which may be a primary driver of population declines. A negative population response to greater time spent over less productive water implies, however, that prey are not also shifting their space use in response to sea ice loss. We show that polar bear habitat selection in the Chukchi Sea has not changed between periods before and after significant sea ice loss, leading to a 75% reduction of highly selected habitat in summer. Summer was the only period with loss of highly selected habitat, supporting the contention that summer will be a critical period for polar bears as sea ice loss continues. Our results indicate that bears are either unable to shift selection patterns to reflect new prey use patterns or that there has not been a shift towards polar basin waters becoming more productive for prey. Continued sea ice loss is likely to further reduce habitat with population-level consequences for polar bears.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2016.0380","usgsCitation":"Wilson, R.H., Regehr, E.V., Rode, K.D., and St. Martin, M., 2016, Invariant polar bear habitat selection during a period of sea ice loss: Proceedings of the Royal Society B: Biological Sciences, v. 283, no. 1836, Article 20160380, https://doi.org/10.1098/rspb.2016.0380.","productDescription":"Article 20160380","ipdsId":"IP-073051","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0380","text":"Publisher Index Page"},{"id":337645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1836","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86b0","chorus":{"doi":"10.1098/rspb.2016.0380","url":"http://dx.doi.org/10.1098/rspb.2016.0380","publisher":"The Royal Society","authors":"Wilson Ryan R., Regehr Eric V., Rode Karyn D., St Martin Michelle","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"8/17/2016","auditedOn":"9/12/2016","publiclyAccessibleDate":"8/17/2016"},"contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":684038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":684039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":684040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184316,"text":"70184316 - 2016 - A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","interactions":[],"lastModifiedDate":"2017-03-07T16:18:28","indexId":"70184316","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1686,"text":"Forensic Science International","active":true,"publicationSubtype":{"id":10}},"title":"A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","docAbstract":"<p>The hydrogen isotopic composition (<i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub>) of USGS42 and USGS43 human hair stable isotopic reference materials, normalized to the VSMOW (Vienna-Standard Mean Ocean Water)–SLAP (Standard Light Antarctic Precipitation) scale, was originally determined with a high temperature conversion technique using an elemental analyzer (TC/EA) with a glassy carbon tube and glassy carbon filling and analysis by isotope-ratio mass spectrometer (IRMS). However, the TC/EA IRMS method can produce inaccurate <i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub>results when analyzing nitrogen-bearing organic substances owing to the formation of hydrogen cyanide (HCN), leading to non-quantitative conversion of a sample into molecular hydrogen (H<sub>2</sub>) for IRMS analysis. A single-oven, chromium-filled, elemental analyzer (Cr-EA) coupled to an IRMS substantially improves the measurement quality and reliability of hydrogen isotopic analysis of hydrogen- and nitrogen-bearing organic material because hot chromium scavenges all reactive elements except hydrogen. USGS42 and USGS43 human hair isotopic reference materials have been analyzed with the Cr-EA IRMS method, and the <i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub> values of their non-exchangeable hydrogen fractions have been revised:</p><div class=\"formula\"><img src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866098/si1.gif\" alt=\"Math Eq\" data-mce-src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866098/si1.gif\"></div><div class=\"formula\"><img src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\" alt=\"Math Eq\" data-mce-src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\"></div><p><span>where mUr = 0.001 = ‰. On average, these revised </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW-SLAP</sub><span> values are 5.7 mUr more positive than those previously measured. It is critical that readers pay attention to the </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW-SLAP</sub><span> of isotopic reference materials in publications as they may need to adjust the </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW–SLAP</sub><span> measurement results of human hair in previous publications to ensure all results are on the same isotope-delta scale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.forsciint.2016.05.029","usgsCitation":"Coplen, T.B., and Qi, H., 2016, A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science: Forensic Science International, v. 266, p. 222-225, https://doi.org/10.1016/j.forsciint.2016.05.029.","productDescription":"4 p.","startPage":"222","endPage":"225","ipdsId":"IP-075581","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forsciint.2016.05.029","text":"Publisher Index Page"},{"id":336985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"266","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a5","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187240,"text":"70187240 - 2016 - Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia","interactions":[],"lastModifiedDate":"2017-04-28T13:32:23","indexId":"70187240","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5085,"text":"Journal of Ecology and the Natural Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia","docAbstract":"<p><span>Large-scale coal mining practices, particularly surface coal extraction and associated valley fills as well as residential wastewater discharge, are of ecological concern for aquatic systems in central Appalachia. Identifying and quantifying alterations to ecosystems along a gradient of spatial scales is a necessary first-step to aid in mitigation of negative consequences to aquatic biota. In central Appalachian headwater streams, apart from fish, salamanders are the most abundant vertebrate predator that provide a significant intermediate trophic role linking aquatic and terrestrial food webs. Stream salamander species are considered to be sensitive to aquatic stressors and environmental alterations, as past research has shown linkages among microhabitat parameters, large-scale land use such as urbanization and logging, and salamander abundances. However, there is little information examining these relationships between environmental conditions and salamander occupancy in the coalfields of central Appalachia. In the summer of 2013, 70 sites (sampled two to three times each) in the southwest Virginia coalfields were visited to collect salamanders and quantify stream and riparian microhabitat parameters. Using an information-theoretic framework, effects of microhabitat and large-scale land use on stream salamander occupancy were compared. The findings indicate that </span><i>Desmognathus </i><span>spp. occupancy rates are more correlated to microhabitat parameters such as canopy cover than to large-scale land uses. However, </span><i>Eurycea </i><span>spp</span><i>.</i><span> occupancy rates had a strong association with large-scale land uses, particularly recent mining and forest cover within the watershed. These findings suggest that protection of riparian habitats is an important consideration for maintaining aquatic systems in central Appalachia. If this is not possible, restoration riparian areas should follow guidelines using quick-growing tree species that are native to Appalachian riparian areas. These types of trees would rapidly establish a canopy cover, stabilize the soil, and impede invasive plant species which would, in turn, provide high-quality refuges for stream salamanders.</span></p>","language":"English","publisher":"Academic Journals","doi":"10.5897/JENE2016.0564","usgsCitation":"Sweeten, S.E., and Ford, W.M., 2016, Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia: Journal of Ecology and the Natural Environment, v. 8, no. 9, p. 129-141, https://doi.org/10.5897/JENE2016.0564.","productDescription":"13 p.","startPage":"129","endPage":"141","ipdsId":"IP-065420","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5897/jene2016.0564","text":"Publisher Index Page"},{"id":340619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc234","contributors":{"authors":[{"text":"Sweeten, Sara E.","contributorId":191565,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184977,"text":"70184977 - 2016 - Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study","interactions":[],"lastModifiedDate":"2018-02-01T12:31:01","indexId":"70184977","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study","docAbstract":"<p id=\"sp0075\">The concentration of carbon dioxide (CO<sub>2</sub>) in the atmosphere has dramatically increased from the start of the industrial revolution in the mid-1700s to present levels exceeding 400&nbsp;ppm. Carbon dioxide derived from fossil fuel combustion is a greenhouse gas and a major contributor to on-going climate change. Carbon and oxygen stable isotope geochemistry is a useful tool to help model and predict the contributions of anthropogenic sources of CO<sub>2</sub> in the global carbon cycle. Surprisingly few studies have addressed the carbon and oxygen isotopic composition of CO<sub>2</sub> derived from coal combustion. The goal of this study is to document the relationships between the carbon and oxygen isotope signatures of coal and signatures of the CO<sub>2</sub> produced from laboratory coal combustion in atmospheric conditions.</p><p id=\"sp0080\">Six coal samples were selected that represent various geologic ages (Carboniferous to Tertiary) and coal ranks (lignite to bituminous). Duplicate splits of the six coal samples were ignited and partially combusted in the laboratory at atmospheric conditions. The resulting coal-combustion gases were collected and the molecular composition of the collected gases and isotopic analyses of <i>δ</i><sup>13</sup>C of CO<sub>2</sub>, <i>δ</i><sup>13</sup>C of CH<sub>4</sub>, and <i>δ</i><sup>18</sup>O of CO<sub>2</sub> were analysed by a commercial laboratory. Splits (~&nbsp;1&nbsp;g) of the un-combusted dried ground coal samples were analyzed for <i>δ</i><sup>13</sup>C and <i>δ</i><sup>18</sup>O by the U.S. Geological Survey Reston Stable Isotope Laboratory.</p><p id=\"sp0085\">The major findings of this preliminary work indicate that the isotopic signatures of <i>δ</i><sup>13</sup>C (relative to the Vienna Pee Dee Belemnite scale, VPDB) of CO<sub>2</sub> resulting from coal combustion are similar to the <i>δ</i><sup>13</sup>C<sub>VPDB</sub> signature of the bulk coal (−&nbsp;28.46 to −&nbsp;23.86&nbsp;‰) and are not similar to atmospheric <i>δ</i><sup>13</sup>C<sub>VPDB</sub> of CO<sub>2</sub> (~&nbsp;−&nbsp;8&nbsp;‰, see <span id=\"ir1000\" class=\"interref\" data-locatortype=\"url\" data-locatorkey=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\"><a class=\"cExLink\" onclick=\"var newWidth=((window.screen.availWidth*90)/100);var newHeight=((window.screen.availHeight*90)/100);var parms = 'status=yes,location=yes,' + 'scrollbars=yes,resizable=yes,directories=yes,' + 'toolbar=yes,menubar=yes,' + 'width=' + newWidth + ',height=' + newHeight + ',screenX=10,screenY=10';var externalWin; externalWin=window.open('','externObjLink',parms); externalWin.focus()\" href=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\" target=\"externObjLink\" data-url=\"/science/RedirectURL?_method=externObjLink&amp;_locator=url&amp;_cdi=271854&amp;_issn=01665162&amp;_origin=article&amp;_zone=art_page&amp;_targetURL=http%253A%252F%252Fwww.esrl.noaa.gov%252Fgmd%252Foutreach%252Fisotopes%252Fc13tellsus.html\" data-itrprs=\"Y\" data-mce-href=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\">http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html</a></span>). The <i>δ</i><sup>18</sup>O values of bulk coal are strongly correlated to the coal dry ash yields and appear to have little or no influence on the <i>δ</i><sup>18</sup>O values of CO<sub>2</sub> resulting from coal combustion in open atmospheric conditions. There is a wide range of <i>δ</i><sup>13</sup>C values of coal reported in the literature and the <i>δ</i><sup>13</sup>C values from this study generally follow reported ranges for higher plants over geologic time. The values of <i>δ</i><sup>18</sup>O (relative to Vienna Standard Mean Ocean Water) of CO<sub>2</sub> derived from atmospheric combustion of coal and other high-carbon fuels (peat and coal) range from +&nbsp;19.03 to +&nbsp;27.03‰ and are similar to atmospheric oxygen <i>δ</i><sup>18</sup>O<sub>VSMOW</sub> values which average +&nbsp;23.8‰. Further work is needed on a broader set of samples to better define the relationships between coal composition and combustion-derived gases.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.009","usgsCitation":"Warwick, P.D., and Ruppert, L.F., 2016, Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study: International Journal of Coal Geology, v. 166, p. 128-135, https://doi.org/10.1016/j.coal.2016.06.009.","productDescription":"8 p.","startPage":"128","endPage":"135","ipdsId":"IP-072825","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2016.06.009","text":"Publisher Index Page"},{"id":337547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abcdf","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":683798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187173,"text":"70187173 - 2016 - Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","interactions":[],"lastModifiedDate":"2018-03-16T15:31:45","indexId":"70187173","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental covariates associated with <i>Cambarus veteranus</i> (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","title":"Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA","docAbstract":"<p><i>Cambarus veteranus&nbsp;</i><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"CIT0010\">Faxon, 1914</a><span>, a narrow endemic crayfish native to the Upper Guyandotte River Basin (UGB) in West Virginia, USA, was petitioned in 2014 by the United States Fish and Wildlife Service to be listed as endangered, but a status survey was recommended to determine if listing was warranted. During May and June 2015, surveys were undertaken across the UGB to determine the current distribution of the species. A total of 71 sites were sampled, including all streams where the species was previously recorded, as well as semi-randomly selected streams, with </span><span class=\"inline-formula no-formula-id\">1-9 125 m</span><span>&nbsp;long sites sampled per wadeable stream. Physiochemical and physical habitat data (based on the Qualitative Habitat Evaluation Index, QHEI) were obtained at each site to determine abiotic factors that were associated with the presence of </span><i>C. veteranus</i><span>. Site detection or non-detection of </span><i>C. veteranus</i><span> and associated site covariates were modeled using logistic regression to determine covariates associated with the presence of the species. </span><i>Cambarus veteranus</i><span> was present in both the Pinnacle Creek and Clear Fork/Laurel Fork watersheds at 10 sites, but it was not observed in the remaining 61 sites. An additive effects model with conductivity and QHEI was selected as the best approximating model. </span><i>Cambarus</i><i>veteranus</i> was associated with lower than average UGB conductivity (379&nbsp;µS)<span>&nbsp;and high (&gt;80)</span><span>&nbsp;QHEI score. All sites where </span><i>C. veteranus</i><span> was not detected had higher conductivity and/or lower QHEI scores.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1163/1937240x-00002456","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2016, Environmental covariates associated with Cambarus veteranus (Decapoda: Cambaridae), an imperiled Appalachian crayfish endemic to West Virginia, USA: Journal of Crustacean Biology, v. 36, no. 5, p. 642-648, https://doi.org/10.1163/1937240x-00002456.","productDescription":"7 p.","startPage":"642","endPage":"648","ipdsId":"IP-078754","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1163/1937240x-00002456","text":"Publisher Index Page"},{"id":340355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Upper Guyandotte River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.14501953125,\n              38.37611542403604\n            ],\n            [\n              -80.83740234375,\n              38.315801006824984\n            ],\n            [\n              -80.5517578125,\n              38.22091976683121\n            ],\n            [\n              -80.26611328125,\n              38.08268954483802\n            ],\n            [\n              -80.22216796875,\n              37.93553306183642\n            ],\n            [\n              -80.343017578125,\n              37.75334401310656\n            ],\n            [\n              -80.66162109375,\n              37.61423141542417\n            ],\n            [\n              -81.01318359375,\n              37.501010429493284\n            ],\n            [\n              -81.76025390625,\n              37.50972584293751\n            ],\n            [\n              -81.968994140625,\n              37.58811876638322\n            ],\n            [\n              -82.276611328125,\n              37.735969208590504\n            ],\n            [\n              -82.37548828125,\n              37.95286091815649\n            ],\n            [\n              -82.496337890625,\n              38.14319750166766\n            ],\n            [\n              -82.4853515625,\n              38.28993659801203\n            ],\n            [\n              -82.30957031249999,\n              38.41055825094609\n            ],\n            [\n              -82.0458984375,\n              38.57393751557591\n            ],\n            [\n              -81.82617187499999,\n              38.57393751557591\n            ],\n            [\n              -81.507568359375,\n              38.53957267203905\n            ],\n            [\n              -81.287841796875,\n              38.46219172306828\n            ],\n            [\n              -81.14501953125,\n              38.37611542403604\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd7","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":692923,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":692930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":692931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. Katie","contributorId":179377,"corporation":false,"usgs":false,"family":"Scott","given":"R.","email":"","middleInitial":"Katie","affiliations":[],"preferred":false,"id":692932,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184311,"text":"70184311 - 2016 - Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>)","interactions":[],"lastModifiedDate":"2017-03-07T13:20:04","indexId":"70184311","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>)","docAbstract":"<p><span>Factors affecting feeding and growth of early life stages of the federally endangered pallid sturgeon (</span><i>Scaphirhynchus albus</i><span>) are not fully understood, owing to their scarcity in the wild. In this study was we evaluated the performance of a combined foraging-bioenergetics model as a tool for assessing growth of age-0 pallid sturgeon in the Missouri River. In the laboratory, three size classes of sturgeon larvae (18–44&nbsp;mm; 0.027–0.329&nbsp;g) were grown for 7 to 14&nbsp;days under differing temperature (14–24&nbsp;°C) and prey density (0–9 Chironomidae larvae/d) regimes. After accounting for effects of water temperature and prey density on fish activity, we compared observed final weight, final length, and number of prey consumed to values generated from the foraging-bioenergetics model. When confronted with an independent dataset, the combined model provided reliable estimates (within 13% of observations) of fish growth and prey consumption, underscoring the usefulness of the modeling approach for evaluating growth dynamics of larval fish when empirical data are lacking.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.05.017","usgsCitation":"Deslauriers, D., Heironimus, L.B., and Chipps, S.R., 2016, Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>): Ecological Modelling, v. 336, p. 1-12, https://doi.org/10.1016/j.ecolmodel.2016.05.017.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-077141","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":336944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"336","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4aa","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":680969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":680946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182823,"text":"70182823 - 2016 - Forward modeling of gravity data using geostatistically generated subsurface density variations","interactions":[],"lastModifiedDate":"2017-03-01T10:56:24","indexId":"70182823","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1808,"text":"Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Forward modeling of gravity data using geostatistically generated subsurface density variations","docAbstract":"<p><span>Using geostatistical models of density variations in the subsurface, constrained by geologic data, forward models of gravity anomalies can be generated by discretizing the subsurface and calculating the cumulative effect of each cell (pixel). The results of such stochastically generated forward gravity anomalies can be compared with the observed gravity anomalies to find density models that match the observed data. These models have an advantage over forward gravity anomalies generated using polygonal bodies of homogeneous density because generating numerous realizations explores a larger region of the solution space. The stochastic modeling can be thought of as dividing the forward model into two components: that due to the shape of each geologic unit and that due to the heterogeneous distribution of density within each geologic unit. The modeling demonstrates that the internally heterogeneous distribution of density within each geologic unit can contribute significantly to the resulting calculated forward gravity anomaly. Furthermore, the stochastic models match observed statistical properties of geologic units, the solution space is more broadly explored by producing a suite of successful models, and the likelihood of a particular conceptual geologic model can be compared. The Vaca Fault near Travis Air Force Base, California, can be successfully modeled as a normal or strike-slip fault, with the normal fault model being slightly more probable. It can also be modeled as a reverse fault, although this structural geologic configuration is highly unlikely given the realizations we explored.</span><br><span><br><br><br></span></p>","language":"English","publisher":"Society of Exploration ","doi":"10.1190/GEO2015-0663.1","usgsCitation":"Phelps, G., 2016, Forward modeling of gravity data using geostatistically generated subsurface density variations: Geophysics, v. 81, no. 5, p. G81-G94, https://doi.org/10.1190/GEO2015-0663.1.","productDescription":"14 p. ","startPage":"G81","endPage":"G94","ipdsId":"IP-066616","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":336727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba6e4b01ccd5500bb07","contributors":{"authors":[{"text":"Phelps, Geoffrey 0000-0003-1958-2736 gphelps@usgs.gov","orcid":"https://orcid.org/0000-0003-1958-2736","contributorId":127489,"corporation":false,"usgs":true,"family":"Phelps","given":"Geoffrey","email":"gphelps@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":673905,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70185047,"text":"70185047 - 2016 - Chronic wasting disease drives population decline of white-tailed deer","interactions":[],"lastModifiedDate":"2017-03-13T15:32:06","indexId":"70185047","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease drives population decline of white-tailed deer","docAbstract":"<p><span>Chronic wasting disease (CWD) is an invariably fatal transmissible spongiform encephalopathy of white-tailed deer, mule deer, elk, and moose. Despite a 100% fatality rate, areas of high prevalence, and increasingly expanding geographic endemic areas, little is known about the population-level effects of CWD in deer. To investigate these effects, we tested the null hypothesis that high prevalence CWD did not negatively impact white-tailed deer population sustainability. The specific objectives of the study were to monitor CWD-positive and CWD-negative white-tailed deer in a high-prevalence CWD area longitudinally via radio-telemetry and global positioning system (GPS) collars. For the two populations, we determined the following: a) demographic and disease indices, b) annual survival, and c) finite rate of population growth (</span><i>λ</i><span>). The CWD prevalence was higher in females (42%) than males (28.8%) and hunter harvest and clinical CWD were the most frequent causes of mortality, with CWD-positive deer over-represented in harvest and total mortalities. Survival was significantly lower for CWD-positive deer and separately by sex; CWD-positive deer were 4.5 times more likely to die annually than CWD-negative deer while bucks were 1.7 times more likely to die than does. Population </span><i>λ</i><span> was 0.896 (0.859–0.980), which indicated a 10.4% annual decline. We show that a chronic disease that becomes endemic in wildlife populations has the potential to be population-limiting and the strong population-level effects of CWD suggest affected populations are not sustainable at high disease prevalence under current harvest levels.</span></p>","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0161127","usgsCitation":"Edmunds, D.R., Kauffman, M., Schumaker, B., Lindzey, F.G., Cook, W., Kreeger, T.J., Grogan, R., and Cornish, T., 2016, Chronic wasting disease drives population decline of white-tailed deer: PLoS ONE, v. 11, no. 8, p. 1-19, https://doi.org/10.1371/journal.pone.0161127.","productDescription":"e0161127; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075014","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0161127","text":"Publisher Index Page"},{"id":337463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795ea0","contributors":{"authors":[{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":684066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumaker, Brant","contributorId":189181,"corporation":false,"usgs":false,"family":"Schumaker","given":"Brant","affiliations":[],"preferred":false,"id":684067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindzey, Frederick G.","contributorId":189182,"corporation":false,"usgs":false,"family":"Lindzey","given":"Frederick","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":684068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Walter","contributorId":189183,"corporation":false,"usgs":false,"family":"Cook","given":"Walter","email":"","affiliations":[],"preferred":false,"id":684069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grogan, Ronald","contributorId":189185,"corporation":false,"usgs":false,"family":"Grogan","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":684071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cornish, Todd","contributorId":189186,"corporation":false,"usgs":false,"family":"Cornish","given":"Todd","email":"","affiliations":[],"preferred":false,"id":684072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70182821,"text":"70182821 - 2016 - Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range","interactions":[],"lastModifiedDate":"2017-03-01T10:59:41","indexId":"70182821","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range","docAbstract":"<p><span>More than 1100 debris flows were mobilized from shallow landslides during a rainstorm from 9 to 13 September 2013 in the Colorado Front Range, with the vast majority initiating on sparsely vegetated, south facing terrain. To investigate the physical processes responsible for the observed aspect control, we made measurements of soil properties on a densely forested north facing hillslope and a grassland-dominated south facing hillslope in the Colorado Front Range and performed numerical modeling of transient changes in soil pore water pressure throughout the rainstorm. Using the numerical model, we quantitatively assessed interactions among vegetation, rainfall interception, subsurface hydrology, and slope stability. Results suggest that apparent cohesion supplied by roots was responsible for the observed connection between debris flow initiation and slope aspect. Results suggest that future climate-driven modifications to forest structure could substantially influence landslide hazards throughout the Front Range and similar water-limited environments where vegetation communities may be more susceptible to small variations in climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2016GL070741","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., Coe, J.A., Mirus, B.B., Baum, R.L., and Godt, J.W., 2016, Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range: Geophysical Research Letters, v. 43, no. 17, p. 9084-9092, https://doi.org/10.1002/2016GL070741.","productDescription":"9 p. ","startPage":"9084","endPage":"9092","ipdsId":"IP-078401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470600,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gl070741","text":"External Repository"},{"id":336728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb09","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":673890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673896,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70184981,"text":"70184981 - 2016 - The water content of recurring slope lineae on Mars","interactions":[],"lastModifiedDate":"2017-03-14T15:35:52","indexId":"70184981","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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 water content of recurring slope lineae on Mars","docAbstract":"<p><span>Observations of recurring slope lineae (RSL) from the High-Resolution Imaging Science Experiment have been interpreted as present-day, seasonally variable liquid water flows; however, orbital spectroscopy has not confirmed the presence of liquid H</span><sub>2</sub><span>O, only hydrated salts. Thermal Emission Imaging System (THEMIS) temperature data and a numerical heat transfer model definitively constrain the amount of water associated with RSL. Surface temperature differences between RSL-bearing and dry RSL-free terrains are consistent with no water associated with RSL and, based on measurement uncertainties, limit the water content of RSL to at most 0.5–3 wt %. In addition, distinct high thermal inertia regolith signatures expected with crust-forming evaporitic salt deposits from cyclical briny water flows are not observed, indicating low water salinity (if any) and/or low enough volumes to prevent their formation. Alternatively, observed salts may be preexisting in soils at low abundances (i.e., near or below detection limits) and largely immobile. These RSL-rich surfaces experience ~100 K diurnal temperature oscillations, possible freeze/thaw cycles and/or complete evaporation on time scales that challenge their habitability potential. The unique surface temperature measurements provided by THEMIS are consistent with a dry RSL hypothesis or at least significantly limit the water content of Martian RSL.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1002/2016GL070179","usgsCitation":"Edwards, C.S., and Piqueux, S., 2016, The water content of recurring slope lineae on Mars: Geophysical Research Letters, v. 43, no. 17, p. 8912-8919, https://doi.org/10.1002/2016GL070179.","productDescription":"8 p.","startPage":"8912","endPage":"8919","ipdsId":"IP-062637","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":500022,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/cf107a42de8c405cbe062d62efb1f576","text":"External Repository"},{"id":337537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abcdd","contributors":{"authors":[{"text":"Edwards, Christopher S. cedwards@usgs.gov","contributorId":147153,"corporation":false,"usgs":true,"family":"Edwards","given":"Christopher","email":"cedwards@usgs.gov","middleInitial":"S.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":683815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":683816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187245,"text":"70187245 - 2016 - Proximate influences on female dispersal in white-tailed deer","interactions":[],"lastModifiedDate":"2017-04-28T13:23:19","indexId":"70187245","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Proximate influences on female dispersal in white-tailed deer","docAbstract":"<p><span>Ultimate causes of animal dispersal have been hypothesized to benefit the dispersing individual because dispersal reduces competition for local resources, potential for inbreeding, and competition for breeding partners. However, proximate cues influence important features of dispersal behavior, including when dispersal occurs, how long it lasts, and direction, straightness, and distance of the dispersal path. Therefore, proximate cues that affect dispersal influence ecological processes (e.g., population dynamics, disease transmission, gene flow). We captured and radio-marked 277 juvenile female white-tailed deer (</span><i>Odocoileus virginianus</i><span>), of which 27 dispersed, to evaluate dispersal behavior and to determine proximate cues that may influence dispersal behavior. Female dispersal largely occurred at 1 year of age and coincided with the fawning season. Dispersal paths varied but generally were non-linear and prolonged. Physical landscape features (i.e., roadways, rivers, residential areas) influenced dispersal path direction and where dispersal terminated. Additionally, forays outside of the natal range that did not result in dispersal occurred among 52% of global positioning system (GPS)-collared deer (</span><i>n</i><span> = 25) during the dispersal period. Our results suggest intra-specific social interactions and physical landscape features influence dispersal behavior in female deer. Female dispersal behavior, particularly the lack of directionality, the semi-permeable nature of physical barriers, and the frequency of forays outside of the natal range, should be considered in regard to population management and controlling the spread of disease.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21106","usgsCitation":"Lutz, C.L., Diefenbach, D.R., and Rosenberry, C.S., 2016, Proximate influences on female dispersal in white-tailed deer: Journal of Wildlife Management, v. 80, no. 7, p. 1218-1226, https://doi.org/10.1002/jwmg.21106.","productDescription":"9 p.","startPage":"1218","endPage":"1226","ipdsId":"IP-068542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70184319,"text":"70184319 - 2016 - Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","interactions":[],"lastModifiedDate":"2017-03-07T16:08:31","indexId":"70184319","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","docAbstract":"<p><span>The Columbia River Littoral Cell (CRLC), a high-wave-energy littoral system, extends 160&nbsp;km alongshore, generally north of the large Columbia River, and 10–15&nbsp;km in across-shelf distance from paleo-beach backshores to about 50&nbsp;m present water depths. Onshore drill holes (19 in number and 5–35&nbsp;m in subsurface depth) and offshore vibracores (33 in number and 1–5&nbsp;m in subsurface depth) constrain inner-shelf sand grain sizes (sample means 0.13–0.25&nbsp;mm) and heavy mineral source indicators (&gt;&nbsp;90% Holocene Columbia River sand) of the inner-shelf facies (≥&nbsp;90% fine sand). Stratigraphic correlation of the transgressive ravinement surface in onshore drill holes and in offshore seismic reflection profiles provide age constraints (0–12&nbsp;ka) on post-ravinement inner-shelf deposits, using paleo-sea level curves and radiocarbon dates. Post-ravinement deposit thickness (1–50&nbsp;m) and long-term sedimentation rates (0.4–4.4&nbsp;m&nbsp;ka</span><sup>−&nbsp;1</sup><span>) are positively correlated to the cross-shelf gradients (0.36–0.63%) of the transgressive ravinement surface. The total post-ravinement fill volume of fine littoral sand (2.48&nbsp;×&nbsp;10</span><sup>10</sup><span>&nbsp;m</span><sup>3</sup><span>) in the inner-shelf represents about 2.07&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;year</span><sup>−&nbsp;1</sup><span> fine sand accumulation rate during the last 12&nbsp;ka, or about one third of the estimated middle- to late-Holocene Columbia River bedload or sand discharge (5–6&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;year</span><sup>−&nbsp;1</sup><span>) to the littoral zone. The fine sand accumulation in the inner-shelf represents post-ravinement accommodation space resulting from 1) geometry and depth of the transgressive ravinement surface, 2) post-ravinement sea-level rise, and 3) fine sand dispersal in the inner-shelf by combined high-wave-energy and geostrophic flow/down-welling drift currents during major winter storms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.007","usgsCitation":"Peterson, C.D., Twichell, D.C., Roberts, M.C., Vanderburgh, S., and Hostetler, S.W., 2016, Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA: Marine Geology, v. 379, p. 140-156, https://doi.org/10.1016/j.margeo.2016.05.007.","productDescription":"17 p.","startPage":"140","endPage":"156","ipdsId":"IP-075517","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488567,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/96","text":"External Repository"},{"id":336980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","volume":"379","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba495","contributors":{"authors":[{"text":"Peterson, C. D.","contributorId":187596,"corporation":false,"usgs":false,"family":"Peterson","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, D. C.","contributorId":187597,"corporation":false,"usgs":false,"family":"Twichell","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. C.","contributorId":187598,"corporation":false,"usgs":false,"family":"Roberts","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderburgh, S.","contributorId":187599,"corporation":false,"usgs":false,"family":"Vanderburgh","given":"S.","email":"","affiliations":[],"preferred":false,"id":680995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":680991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184318,"text":"70184318 - 2016 - Shale gas development effects on the songbird community in a central Appalachian forest","interactions":[],"lastModifiedDate":"2017-03-07T16:10:38","indexId":"70184318","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Shale gas development effects on the songbird community in a central Appalachian forest","docAbstract":"<p><span>In the last decade, unconventional drilling for natural gas from the Marcellus-Utica shale has increased exponentially in the central Appalachians. This heavily forested region contains important breeding habitat for many neotropical migratory songbirds, including several species of conservation concern. Our goal was to examine effects of unconventional gas development on forest habitat and breeding songbirds at a predominantly forested site from 2008 to 2015. Construction of gas well pads and infrastructure (e.g., roads, pipelines) contributed to an overall 4.5% loss in forest cover at the site, a 12.4% loss in core forest, and a 51.7% increase in forest edge density. We evaluated the relationship between land-cover metrics and species richness within three avian guilds: forest-interior, early-successional, and synanthropic, in addition to abundances of 21 focal species. Land-cover impacts were evaluated at two spatial extents: a point-level within 100-m and 500-m buffers of each avian survey station, and a landscape-level across the study area (4326&nbsp;ha). Although we observed variability in species-specific responses, we found distinct trends in long-term response among the three avian guilds. Forest-interior guild richness declined at all points across the site and at points impacted within 100&nbsp;m by shale gas but did not change at unimpacted points. Early-successional and synanthropic guild richness increased at all points and at impacted points. Our results suggest that shale gas development has the potential to fragment regional forests and alter avian communities, and that efforts to minimize new development in core forests will reduce negative impacts to forest dependent species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.06.019","usgsCitation":"Farwell, L.S., Wood, P., Sheehan, J., and George, G.A., 2016, Shale gas development effects on the songbird community in a central Appalachian forest: Biological Conservation, v. 201, p. 78-91, https://doi.org/10.1016/j.biocon.2016.06.019.","productDescription":"14 p.","startPage":"78","endPage":"91","ipdsId":"IP-074118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.06.019","text":"Publisher Index Page"},{"id":336981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f2e4b014cc3a3ba499","contributors":{"authors":[{"text":"Farwell, Laura S.","contributorId":187625,"corporation":false,"usgs":false,"family":"Farwell","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":681092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":680990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":681093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Gregory A.","contributorId":169751,"corporation":false,"usgs":false,"family":"George","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175051,"text":"70175051 - 2016 - Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States","interactions":[],"lastModifiedDate":"2018-03-13T18:08:58","indexId":"70175051","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"seriesTitle":{"id":5650,"text":"The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","onlineIssn":"2194-9034","printIssn":"1682-1750","active":true,"publicationSubtype":{"id":19}},"title":"Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States","docAbstract":"<p><span>The ASTER Global Digital Elevation Model Version 3 (GDEM v3) was evaluated over the conterminous United States in a manner similar to the validation conducted for the original GDEM Version 1 (v1) in 2009 and GDEM Version 2 (v2) in 2011. The absolute vertical accuracy of GDEM v3 was calculated by comparison with more than 23,000 independent reference geodetic ground control points from the U.S. National Geodetic Survey. The root mean square error (RMSE) measured for GDEM v3 is 8.52 meters. This compares with the RMSE of 8.68 meters for GDEM v2. Another important descriptor of vertical accuracy is the mean error, or bias, which indicates if a DEM has an overall vertical offset from true ground level. The GDEM v3 mean error of −1.20 meters reflects an overall negative bias in GDEM v3. The absolute vertical accuracy assessment results, both mean error and RMSE, were segmented by land cover type to provide insight into how GDEM v3 performs in various land surface conditions. While the RMSE varies little across cover types (6.92 to 9.25 meters), the mean error (bias) does appear to be affected by land cover type, ranging from −2.99 to +4.16 meters across 14 land cover classes. These results indicate that in areas where built or natural aboveground features are present, GDEM v3 is measuring elevations above the ground level, a condition noted in assessments of previous GDEM versions (v1 and v2) and an expected condition given the type of stereo-optical image data collected by ASTER. GDEM v3 was also evaluated by differencing with the Shuttle Radar Topography Mission (SRTM) dataset. In many forested areas, GDEM v3 has elevations that are higher in the canopy than SRTM. The overall validation effort also included an evaluation of the GDEM v3 water mask. In general, the number of distinct water polygons in GDEM v3 is much lower than the number in a reference land cover dataset, but the total areas compare much more closely.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: XXIII ISPRS Congress, Commission IV (Volume XLI-B4)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"XXIII ISPRS Congress","conferenceDate":"July 12-19, 2016","conferenceLocation":"Prague, Czech Republic","language":"English","publisher":"International Society for Photogrammetry and Remote Sensing","doi":"10.5194/isprs-archives-XLI-B4-143-2016","usgsCitation":"Gesch, D.B., Oimoen, M.J., Danielson, J.J., and Meyer, D., 2016, Validation of the ASTER Global Digital Elevation Model version 3 over the conterminous United States, <i>in</i> Proceedings: XXIII ISPRS Congress, Commission IV (Volume XLI-B4), v. XLI-B4, Prague, Czech Republic, July 12-19, 2016, p. 143-148, https://doi.org/10.5194/isprs-archives-XLI-B4-143-2016.","productDescription":"6 p.","startPage":"143","endPage":"148","ipdsId":"IP-075782","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":470623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/isprs-archives-xli-b4-143-2016","text":"Publisher Index Page"},{"id":328348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"XLI-B4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f953","contributors":{"editors":[{"text":"Halounova, L","contributorId":9864,"corporation":false,"usgs":false,"family":"Halounova","given":"L","email":"","affiliations":[],"preferred":false,"id":730987,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Safar, V.","contributorId":195810,"corporation":false,"usgs":false,"family":"Safar","given":"V.","email":"","affiliations":[],"preferred":false,"id":730988,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Jiang, J.","contributorId":35439,"corporation":false,"usgs":true,"family":"Jiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":730989,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Olesovska, H.","contributorId":43758,"corporation":false,"usgs":false,"family":"Olesovska","given":"H.","email":"","affiliations":[],"preferred":false,"id":730990,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Dvoracek, P.","contributorId":105471,"corporation":false,"usgs":false,"family":"Dvoracek","given":"P.","email":"","affiliations":[],"preferred":false,"id":730991,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Holland, D.","contributorId":42915,"corporation":false,"usgs":true,"family":"Holland","given":"D.","email":"","affiliations":[],"preferred":false,"id":730992,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Seredovich, V.A.","contributorId":45709,"corporation":false,"usgs":false,"family":"Seredovich","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":730993,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Muller, J.P.","contributorId":85956,"corporation":false,"usgs":false,"family":"Muller","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":730994,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Pattabhi Rama Rao, E.","contributorId":10485,"corporation":false,"usgs":false,"family":"Pattabhi Rama 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Y.","contributorId":26571,"corporation":false,"usgs":false,"family":"Doytsher","given":"Y.","email":"","affiliations":[],"preferred":false,"id":731031,"contributorType":{"id":2,"text":"Editors"},"rank":21},{"text":"Percivall, George","contributorId":190961,"corporation":false,"usgs":false,"family":"Percivall","given":"George","email":"","affiliations":[],"preferred":false,"id":731032,"contributorType":{"id":2,"text":"Editors"},"rank":22},{"text":"Schreier, G.","contributorId":75117,"corporation":false,"usgs":false,"family":"Schreier","given":"G.","email":"","affiliations":[],"preferred":false,"id":731033,"contributorType":{"id":2,"text":"Editors"},"rank":23},{"text":"Dowman, I.","contributorId":181841,"corporation":false,"usgs":false,"family":"Dowman","given":"I.","email":"","affiliations":[],"preferred":false,"id":731034,"contributorType":{"id":2,"text":"Editors"},"rank":24},{"text":"Streilein, A.","contributorId":43361,"corporation":false,"usgs":false,"family":"Streilein","given":"A.","email":"","affiliations":[],"preferred":false,"id":731049,"contributorType":{"id":2,"text":"Editors"},"rank":25},{"text":"Ernst, J.","contributorId":101714,"corporation":false,"usgs":false,"family":"Ernst","given":"J.","email":"","affiliations":[],"preferred":false,"id":731050,"contributorType":{"id":2,"text":"Editors"},"rank":26}],"authors":[{"text":"Gesch, Dean B. 0000-0002-8992-4933 gesch@usgs.gov","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":2956,"corporation":false,"usgs":true,"family":"Gesch","given":"Dean","email":"gesch@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":643722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oimoen, Michael J. 0000-0003-3611-6227 oimoen@usgs.gov","orcid":"https://orcid.org/0000-0003-3611-6227","contributorId":4757,"corporation":false,"usgs":true,"family":"Oimoen","given":"Michael","email":"oimoen@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":643723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":643724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, David dmeyer@usgs.gov","contributorId":173208,"corporation":false,"usgs":true,"family":"Meyer","given":"David","email":"dmeyer@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":643725,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70182776,"text":"70182776 - 2016 - Associations of stream health to altered flow and water temperature in the Sierra Nevada, California","interactions":[],"lastModifiedDate":"2018-09-13T14:52:47","indexId":"70182776","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Associations of stream health to altered flow and water temperature in the Sierra Nevada, California","docAbstract":"<p><span>Alteration of streamflow and thermal conditions may adversely affect lotic invertebrate communities, but few studies have assessed these phenomena using indicators that control for the potentially confounding influence of natural variability. We designed a study to assess how flow and thermal alteration influence stream health – as indicated by the condition of invertebrate communities. We studied thirty streams in the Sierra Nevada, California, that span a wide range of hydrologic modification due to storage reservoirs and hydroelectric diversions. Daily water temperature and streamflows were monitored, and basic chemistry and habitat conditions were characterized when invertebrate communities were sampled. Streamflow alteration, thermal alteration, and invertebrate condition were quantified by predicting site-specific natural expectations using statistical models developed using data from regional reference sites. Monthly flows were typically depleted (relative to natural expectations) during fall, winter, and spring. Most hydrologically altered sites experienced cooled thermal conditions in summer, with mean daily temperatures as much 12 °C below natural expectations. The most influential predictor of invertebrate community condition was the degree of alteration of March flows, which suggests that there are key interactions between hydrological and biological processes during this month in Sierra Nevada streams. Thermal alteration was also an important predictor – particularly at sites with the most severe hydrological alteration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/eco.1703","usgsCitation":"Carlisle, D.M., Nelson, S.M., and May, J., 2016, Associations of stream health to altered flow and water temperature in the Sierra Nevada, California: Ecohydrology, v. 9, no. 6, p. 930-941, https://doi.org/10.1002/eco.1703.","productDescription":"12 p.","startPage":"930","endPage":"941","ipdsId":"IP-068697","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":336747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-21","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb0b","contributors":{"authors":[{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":673713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, S. Mark","contributorId":139081,"corporation":false,"usgs":false,"family":"Nelson","given":"S.","email":"","middleInitial":"Mark","affiliations":[{"id":12646,"text":"BOR","active":true,"usgs":false}],"preferred":false,"id":673714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"May, Jason T. 0000-0002-5699-2112 jasonmay@usgs.gov","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":184174,"corporation":false,"usgs":true,"family":"May","given":"Jason T.","email":"jasonmay@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673715,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176664,"text":"70176664 - 2016 - The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas","interactions":[],"lastModifiedDate":"2016-09-23T15:42:50","indexId":"70176664","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas","docAbstract":"<p><span>The release of large amounts of sulfur to the stratosphere during explosive eruptions affects the radiative balance in the atmosphere and consequentially impacts climate for up to several years after the event. Quantitative estimations of the processes that control the mass balance of sulfur between melt, crystals, and vapor bubbles is needed to better understand the potential sulfur yield of individual eruption events and the conditions that favor large sulfur outputs to the atmosphere. The processes that control sulfur partitioning in magmas are (1) exsolution of volatiles (dominantly H</span><sub>2</sub><span>O) during decompression (first boiling) and during isobaric crystallization (second boiling), (2) the crystallization and breakdown of sulfide or sulfate phases in the magma, and (3) the transport of sulfur-rich vapor (gas influx) from deeper unerupted regions of the magma reservoir. Vapor exsolution and the formation/breakdown of sulfur-rich phases can all be considered as closed-system processes where mass balance arguments are generally easier to constrain, whereas the contribution of sulfur by vapor transport (open system process) is more difficult to quantify. The ubiquitous “excess sulfur” problem, which refers to the much higher sulfur mass released during eruptions than what can be accounted for by amount of sulfur originally dissolved in erupted melt, as estimated from melt inclusion sulfur concentrations (the “petrologic estimate”), reflects the challenges in closing the sulfur mass balance between crystals, melt, and vapor before and during a volcanic eruption. In this work, we try to quantify the relative importance of closed- and open-system processes for silicic arc volcanoes using kinetic models of sulfur partitioning during exsolution. Our calculations show that crystallization-induced exsolution (second boiling) can generate a significant fraction of the excess sulfur observed in crystal-rich arc magmas. This result does not negate the important role of vapor migration in sulfur mass balance but rather points out that second boiling (in situ exsolution) can provide the necessary yield to drive the excess sulfur to the levels observed for crystal-rich systems. In contrast, in crystal-poor systems, magma recharge that releases sulfur-rich bubbles is necessary and most likely the primary contributor to sulfur mass balance. Finally, we apply our model to account for the effect of sulfur partitioning during second boiling and its impact on sulfur released during the Cerro Galan supereruption in Argentina (2.08&nbsp;Ma) and show the potential importance of second boiling in releasing a large amount of sulfur to the atmosphere during the eruption of large crystal-rich ignimbrites.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016JB013184","usgsCitation":"Su, Y., Huber, C., Bachmann, O., Zajacz, Z., Wright, H.M., and Vazquez, J.A., 2016, The role of crystallization-driven exsolution on the sulfur mass balance in volcanic arc magmas: Journal of Geophysical Research B: Solid Earth, v. 121, no. 8, p. 5624-5640, https://doi.org/10.1002/2016JB013184.","productDescription":"27 p.","startPage":"5624","endPage":"5640","ipdsId":"IP-062977","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470602,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013184","text":"Publisher Index Page"},{"id":328936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-03","publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c90d","contributors":{"authors":[{"text":"Su, Yanqing","contributorId":174886,"corporation":false,"usgs":false,"family":"Su","given":"Yanqing","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":649546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huber, Christian","contributorId":174887,"corporation":false,"usgs":false,"family":"Huber","given":"Christian","email":"","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":649547,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bachmann, Olivier","contributorId":101030,"corporation":false,"usgs":true,"family":"Bachmann","given":"Olivier","affiliations":[],"preferred":false,"id":649548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zajacz, Zoltan","contributorId":174888,"corporation":false,"usgs":false,"family":"Zajacz","given":"Zoltan","email":"","affiliations":[],"preferred":false,"id":649549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Heather M. 0000-0001-9013-507X hwright@usgs.gov","orcid":"https://orcid.org/0000-0001-9013-507X","contributorId":3949,"corporation":false,"usgs":true,"family":"Wright","given":"Heather","email":"hwright@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":649550,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":649551,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176245,"text":"70176245 - 2016 - Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese <i>Anser brachyrhynchus</i>","interactions":[],"lastModifiedDate":"2016-09-03T21:16:43","indexId":"70176245","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese <i>Anser brachyrhynchus</i>","docAbstract":"Adjustment of hunting season length is often used to regulate harvest of waterbirds but the effects are disputed. We describe the first results of season length extension on the harvest of the pink-footed goose, which has been selected as the first test case of adaptive harvest management of waterbirds in Europe. In Denmark, the season (previously 1 September to 31 December) was extended to include January in 2014-15 with the aim to increase the harvest and, in the longer term, reduce the population size. The total harvest in Denmark increased by 52% compared to previous years, and almost 50% of the Danish harvest was taken in the January extension. In the course of the hunting season, the proportion of adults in the bag increased. In this case, the outcomes from the first extension of season suggest that season length adjustment can be an effective tool to regulate harvest, though dependent on winter weather conditions and hunters’ motivation for shooting geese.","language":"English","publisher":"Nordic Board for Widlife Research","doi":"10.2981/wlb.00234","usgsCitation":"Madsen, J., Clausen, K.K., Christensen, T.K., and Johnson, F.A., 2016, Regulation of the hunting season as a tool for adaptive harvest management — First results for pink-footed geese <i>Anser brachyrhynchus</i>: Wildlife Biology, v. 22, no. 5, p. 204-208, https://doi.org/10.2981/wlb.00234.","productDescription":"5 p.","startPage":"204","endPage":"208","ipdsId":"IP-072589","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00234","text":"Publisher Index Page"},{"id":328231,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cbf42be4b0f2f0cec3ba05","contributors":{"authors":[{"text":"Madsen, Jesper","contributorId":9950,"corporation":false,"usgs":true,"family":"Madsen","given":"Jesper","affiliations":[],"preferred":false,"id":648054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clausen, Kevin K.","contributorId":174355,"corporation":false,"usgs":false,"family":"Clausen","given":"Kevin","email":"","middleInitial":"K.","affiliations":[{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":648055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christensen, Thomas K.","contributorId":69381,"corporation":false,"usgs":false,"family":"Christensen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":648056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":648053,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176428,"text":"70176428 - 2016 - Delta smelt habitat in the San Francisco Estuary: A reply to Manly, Fullerton, Hendrix, and Burnham’s “Comments on Feyrer et al. Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish\"","interactions":[],"lastModifiedDate":"2016-09-13T12:39:46","indexId":"70176428","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Delta smelt habitat in the San Francisco Estuary: A reply to Manly, Fullerton, Hendrix, and Burnham’s “Comments on Feyrer et al. Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish\"","docAbstract":"<p>Manly et al. (2015) commented on the approach we (Feyrer et al. 2011) used to calculate an index of the abiotic habitat of delta smelt Hypomesus transpacificus. The delta smelt is an annual fish species endemic to the San Francisco Estuary (SFE) in California, USA. Conserving the delta smelt population while providing reliability to California’s water supply with water diverted from the SFE ecosystem is a major management and policy issue. Feyrer et al. (2011) evaluated historic and projected future abiotic habitat conditions for delta smelt. Manly et al. (2015) specifically commented regarding the following: (1) use of an independent abundance estimate, (2) spatial bias in the habitat index, and (3) application of the habitat index to future climate change projections. Here, we provide our reply to these three topics. While we agree that some of the concepts raised by Manly et al. (2015) have the potential to improve habitat assessments and their application to climate change scenarios as knowledge is gained, we note that the Feyrer et al. (2011) delta smelt habitat index is essentially identical to one reconstructed using Manly et al.’s (2015) preferred approach (their model 8), as shown here in Fig. 1.</p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-9987-6","usgsCitation":"Feyrer, F.V., Newman, K.B., Nobriga, M., and Sommer, T., 2016, Delta smelt habitat in the San Francisco Estuary: A reply to Manly, Fullerton, Hendrix, and Burnham’s “Comments on Feyrer et al. Modeling the effects of future outflow on the abiotic habitat of an imperiled estuarine fish\": Estuaries and Coasts, v. 39, no. 1, p. 287-289, https://doi.org/10.1007/s12237-015-9987-6.","productDescription":"3 p.","startPage":"287","endPage":"289","ipdsId":"IP-065000","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":328605,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-15","publicationStatus":"PW","scienceBaseUri":"57d92332e4b090824ffa1a44","contributors":{"authors":[{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":5901,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":648726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newman, Ken B.","contributorId":51139,"corporation":false,"usgs":true,"family":"Newman","given":"Ken","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":648727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nobriga, Matthew","contributorId":139247,"corporation":false,"usgs":false,"family":"Nobriga","given":"Matthew","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":648728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sommer, Ted","contributorId":105242,"corporation":false,"usgs":true,"family":"Sommer","given":"Ted","email":"","affiliations":[],"preferred":false,"id":648729,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175152,"text":"ofr20161126 - 2016 - Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014","interactions":[],"lastModifiedDate":"2016-09-01T15:31:00","indexId":"ofr20161126","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-1126","title":"Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014","docAbstract":"<p>Inland bathymetry survey collections, survey data types, features, sources, availability, and the effort required to integrate inland bathymetric data into the U.S. Geological Survey 3D Elevation Program are assessed to help determine the feasibility of integrating three-dimensional water feature elevation data into The National Map. Available data from wading, acoustic, light detection and ranging, and combined technique surveys are provided by the U.S. Geological Survey, National Oceanic and Atmospheric Administration, U.S. Army Corps of Engineers, and other sources. Inland bathymetric data accessed through Web-hosted resources or contacts provide useful baseline parameters for evaluating survey types and techniques used for collection and processing, and serve as a basis for comparing survey methods and the quality of results. Historically, boat-mounted acoustic surveys have provided most inland bathymetry data. Light detection and ranging techniques that are beneficial in areas hard to reach by boat, that can collect dense data in shallow water to provide comprehensive coverage, and that can be cost effective for surveying large areas with good water clarity are becoming more common; however, optimal conditions and techniques for collecting and processing light detection and ranging inland bathymetry surveys are not yet well defined.</p><p>Assessment of site condition parameters important for understanding inland bathymetry survey issues and results, and an evaluation of existing inland bathymetry survey coverage are proposed as steps to develop criteria for implementing a useful and successful inland bathymetry survey plan in the 3D Elevation Program. These survey parameters would also serve as input for an inland bathymetry survey data baseline. Integration and interpolation techniques are important factors to consider in developing a robust plan; however, available survey data are usually in a triangulated irregular network format or other format compatible with the 3D Elevation Program so that data can be integrated with a minimal level of effort. Geomorphic site conditions are known to affect the success and accuracy of light detection and ranging and other bathymetric surveys, and a baseline that includes geomorphic data is recommended to help in evaluation of limitations imposed by geomorphology for surveys completed in the variable physiographic provinces across the United States. The geographic distribution for existing surveys identifies regions where inland bathymetry data have been collected and, conversely, where little or no survey data seem to be available to provide hydrologic and hydraulic information. This distribution, in conjunction with local to regional data needs to characterize and monitor river and lake resources, provides another important set of criteria to propose and guide acquisition of new bathymetry data for the 3D Elevation Program. An initial evaluation of needs can be based on the importance of water resources that provide primary water supplies for communities, agriculture, energy, and ecological systems; the importance of flood plain analyses; and projected population growth across the United States.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161126","usgsCitation":"Miller-Corbett, Cynthia, 2016, Evaluating integration of inland bathymetry in the U.S. Geological Survey 3D Elevation Program, 2014: U.S. Geological Survey Open-File Report 2016–1126, 44 p., https://dx.doi.org/10.3133/ofr20161126.\n","productDescription":"vi, 44 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-065698","costCenters":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"links":[{"id":328148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1126/coverthb.jpg"},{"id":328149,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1126/ofr20161126.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1126"}],"contact":"<p>Director, National Geospatial Technical Operations Center <br>U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401</p><p><a href=\"http://ngtoc.usgs.gov/\" data-mce-href=\"http://ngtoc.usgs.gov/\">http://ngtoc.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Bathymetry Survey Techniques</li><li>Importance of Geomorphic and Hydraulic Site Conditions</li><li>Integration and Interpolation Techniques for Topographic and Bathymetric Digital Elevation&nbsp;Models</li><li>Distribution and Coverage of Existing Inland Bathymetry Surveys</li><li>Framework for a Baseline Inland Bathymetry Program</li><li>Summary</li><li>References Cited</li><li>Appendix 1. National Geospatial Program Lidar Base Specification Requirements for&nbsp;Hydro-flattening and Breaklines</li><li>Appendix 2. Inland Bathymetry Surveys for Rivers and Lakes</li><li>Appendix 3. National Oceanic and Atmospheric Administration Bathymetry</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-09-01","noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"57c9431ee4b0f2f0cec13579","contributors":{"authors":[{"text":"Miller-Corbett, Cynthia cmcorbet@usgs.gov","contributorId":4443,"corporation":false,"usgs":true,"family":"Miller-Corbett","given":"Cynthia","email":"cmcorbet@usgs.gov","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true}],"preferred":true,"id":644115,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70176537,"text":"70176537 - 2016 - Age and growth of round gobies in Lake Huron: Implications for food web dynamics","interactions":[],"lastModifiedDate":"2016-12-29T09:11:33","indexId":"70176537","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Age and growth of round gobies in Lake Huron: Implications for food web dynamics","docAbstract":"<p>Although the round goby (<i>Neogobius melanostomus</i>) has become established throughout the Laurentian Great Lakes, information is scarce on spatial variation in round goby growth between and within lakes. Based on a sample of 754 specimens captured in 2014, age, growth, and mortality of round gobies at four locations in Lake Huron were assessed via otolith analysis. Total length (<i>TL</i>) of round gobies ranged from 44 to 111&nbsp;mm for Saginaw Bay, from 45 to 115&nbsp;mm for Rockport, from 50 to 123&nbsp;mm for Hammond Bay, and from 51 to 118 mm for Thunder Bay. Estimated ages of round gobies ranged from 2 to 5&nbsp;years for Saginaw Bay, from 2 to 6&nbsp;years for Rockport, and from 2 to 7&nbsp;years for Hammond Bay and Thunder Bay. Sex-specific, body–otolith relationships were used to back-calculate total lengths at age, which were then fitted to von Bertalanffy growth models. For each sex, round goby growth showed significant spatial variation among the four locations within Lake Huron. At all four locations in Lake Huron, males grew significantly faster than females and attained a larger asymptotic length than females. Annual mortality rate estimates were high (62 to 85%), based on catch-curve analysis, suggesting that round gobies may be under predatory control in Lake Huron.</p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2016.08.010","usgsCitation":"Duan, Y.J., Madenjian, C.P., Xie, C., Diana, J., O’Brien, T.P., Zhao, Y.M., He, J.X., Farha, S., and Huo, B., 2016, Age and growth of round gobies in Lake Huron: Implications for food web dynamics: Journal of Great Lakes Research, v. 42, no. 6, p. 1443-1451, https://doi.org/10.1016/j.jglr.2016.08.010.","productDescription":"9 p.","startPage":"1443","endPage":"1451","ipdsId":"IP-072233","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":462097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2016.08.010","text":"Publisher Index Page"},{"id":328810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.1387939453125,\n              45.66780526567164\n            ],\n            [\n              -83.9739990234375,\n              45.62940492064501\n            ],\n            [\n              -83.770751953125,\n              45.556371735883125\n            ],\n            [\n              -83.5235595703125,\n              45.47554027158593\n            ],\n          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X.","affiliations":[{"id":12457,"text":"Huazhong Agricultural University, College of Fisheries","active":true,"usgs":false}],"preferred":false,"id":649194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diana, James S.","contributorId":52137,"corporation":false,"usgs":true,"family":"Diana","given":"James S.","affiliations":[],"preferred":false,"id":649195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Brien, Timothy P. 0000-0003-4502-5204 tiobrien@usgs.gov","orcid":"https://orcid.org/0000-0003-4502-5204","contributorId":2662,"corporation":false,"usgs":true,"family":"O’Brien","given":"Timothy","email":"tiobrien@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":649196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhao, Ying M.","contributorId":174753,"corporation":false,"usgs":false,"family":"Zhao","given":"Ying","email":"","middleInitial":"M.","affiliations":[{"id":13171,"text":"Ontario Ministry of Natural Resources, Aquatic Research and Development Section","active":true,"usgs":false}],"preferred":false,"id":649197,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"He, Ji X.","contributorId":53254,"corporation":false,"usgs":true,"family":"He","given":"Ji","email":"","middleInitial":"X.","affiliations":[],"preferred":false,"id":649198,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Farha, Steve A. 0000-0001-9953-6996 sfarha@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-6996","contributorId":5170,"corporation":false,"usgs":true,"family":"Farha","given":"Steve A.","email":"sfarha@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":649199,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huo, Bin","contributorId":127463,"corporation":false,"usgs":false,"family":"Huo","given":"Bin","email":"","affiliations":[{"id":6955,"text":"College of Fisheries, Huazhong Agricultural University","active":true,"usgs":false}],"preferred":false,"id":649200,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70176363,"text":"70176363 - 2016 - Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, <i>Orconectes hylas</i>","interactions":[],"lastModifiedDate":"2016-09-09T15:38:17","indexId":"70176363","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, <i>Orconectes hylas</i>","docAbstract":"<p><span>Introductions of alien species into aquatic ecosystems have been well documented, including invasions of crayfish species; however, little is known about the effects of these introductions on macroinvertebrate communities. The woodland crayfish (</span><i>Orconectes hylas</i><span> (Faxon)) has been introduced into the St. Francis River watershed in southeast Missouri and has displaced populations of native crayfish. The effects of </span><i>O</i><span>. </span><i>hylas</i><span> on macroinvertebrate community composition were investigated in a fourth-order Ozark stream at two locations, one with the presence of </span><i>O</i><span>. </span><i>hylas</i><span> and one without. Significant differences between sites and across four sampling periods and two habitats were found in five categories of benthic macroinvertebrate metrics: species richness, percent/composition, dominance/diversity, functional feeding groups, and biotic indices. In most seasons and habitat combinations, the invaded site had significantly higher relative abundance of riffle beetles (Coleoptera: Elmidae), and significantly lower Missouri biotic index values, total taxa richness, and both richness and relative abundance of midges (Diptera: Chironomidae). Overall study results indicate that some macroinvertebrate community differences due to the </span><i>O</i><span>. </span><i>hylas</i><span> invasion were not consistent between seasons and habitats, suggesting that further research on spatial and temporal habitat use and feeding ecology of Ozark crayfish species is needed to improve our understanding of the effects of these invasions on aquatic communities.</span></p>","language":"English","publisher":"PLOS ONE","doi":"10.1371/journal.pone.0150199","usgsCitation":"Freeland-Riggert, B.T., Cairns, S.H., Poulton, B.C., and Riggert, C.M., 2016, Differences found in the macroinvertebrate community composition in the presence or absence of the invasive alien crayfish, <i>Orconectes hylas</i>: PLoS ONE, v. 11, no. 3,  e0150199: 27 p., https://doi.org/10.1371/journal.pone.0150199.","productDescription":" e0150199: 27 p.","ipdsId":"IP-063217","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":470601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0150199","text":"Publisher Index Page"},{"id":328469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-17","publicationStatus":"PW","scienceBaseUri":"57d3dd36e4b0571647d19a4b","contributors":{"authors":[{"text":"Freeland-Riggert, Brandye T.","contributorId":174531,"corporation":false,"usgs":false,"family":"Freeland-Riggert","given":"Brandye","email":"","middleInitial":"T.","affiliations":[{"id":27465,"text":"University of Central Missouri, 108 W South St., Warrensburg, MO","active":true,"usgs":false}],"preferred":false,"id":648524,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cairns, Stefan H.","contributorId":174532,"corporation":false,"usgs":false,"family":"Cairns","given":"Stefan","email":"","middleInitial":"H.","affiliations":[{"id":27465,"text":"University of Central Missouri, 108 W South St., Warrensburg, MO","active":true,"usgs":false}],"preferred":false,"id":648525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulton, Barry C. 0000-0002-7219-4911 bpoulton@usgs.gov","orcid":"https://orcid.org/0000-0002-7219-4911","contributorId":2421,"corporation":false,"usgs":true,"family":"Poulton","given":"Barry","email":"bpoulton@usgs.gov","middleInitial":"C.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":648523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riggert, Chris M.","contributorId":174533,"corporation":false,"usgs":false,"family":"Riggert","given":"Chris","email":"","middleInitial":"M.","affiliations":[{"id":27466,"text":"Missouri Department of Conservation, Jefferson City, MO","active":true,"usgs":false}],"preferred":false,"id":648526,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176207,"text":"70176207 - 2016 - Application of organic petrography in North American shale petroleum systems: A review","interactions":[],"lastModifiedDate":"2016-09-06T12:54:46","indexId":"70176207","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of organic petrography in North American shale petroleum systems: A review","docAbstract":"<p><span>Organic petrography via incident light microscopy has broad application to shale petroleum systems, including delineation of thermal maturity windows and determination of organo-facies. Incident light microscopy allows practitioners the ability to identify various types of organic components and demonstrates that solid bitumen is the dominant organic matter occurring in shale plays of peak oil and gas window thermal maturity, whereas oil-prone Type I/II kerogens have converted to hydrocarbons and are not present. High magnification SEM observation of an interconnected organic porosity occurring in the solid bitumen of thermally mature shale reservoirs has enabled major advances in our understanding of hydrocarbon migration and storage in shale, but suffers from inability to confirm the type of organic matter present. Herein we review organic petrography applications in the North American shale plays through discussion of incident light photographic examples. In the first part of the manuscript we provide basic practical information on the measurement of organic reflectance and outline fluorescence microscopy and other petrographic approaches to the determination of thermal maturity. In the second half of the paper we discuss applications of organic petrography and SEM in all of the major shale petroleum systems in North America including tight oil plays such as the Bakken, Eagle Ford and Niobrara, and shale gas and condensate plays including the Barnett, Duvernay, Haynesville-Bossier, Marcellus, Utica, and Woodford, among others. Our review suggests systematic research employing correlative high resolution imaging techniques and in situ geochemical probing is needed to better document hydrocarbon storage, migration and wettability properties of solid bitumen at the pressure and temperature conditions of shale reservoirs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.010","usgsCitation":"Hackley, P.C., and Cardott, B.J., 2016, Application of organic petrography in North American shale petroleum systems: A review: International Journal of Coal Geology, v. 163, p. 8-51, https://doi.org/10.1016/j.coal.2016.06.010.","productDescription":"44 p.","startPage":"8","endPage":"51","ipdsId":"IP-075222","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2016.06.010","text":"Publisher Index Page"},{"id":328244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"163","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57cfe8ade4b04836416a0d1d","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":647799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardott, Brian J.","contributorId":106657,"corporation":false,"usgs":true,"family":"Cardott","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":647800,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70174163,"text":"70174163 - 2016 - Actions and dialog to change perceptions and increase engagement of underrepresented minorities in fisheries and aquatic sciences: Report to membership from a special session in Portland","interactions":[],"lastModifiedDate":"2018-02-28T14:34:50","indexId":"70174163","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Actions and dialog to change perceptions and increase engagement of underrepresented minorities in fisheries and aquatic sciences: Report to membership from a special session in Portland","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1133192","usgsCitation":"Moffitt, C.M., 2016, Actions and dialog to change perceptions and increase engagement of underrepresented minorities in fisheries and aquatic sciences: Report to membership from a special session in Portland: Fisheries, v. 41, no. 2, p. 66-67, https://doi.org/10.1080/03632415.2016.1133192.","productDescription":"2 p.","startPage":"66","endPage":"67","ipdsId":"IP-071426","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":328352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-28","publicationStatus":"PW","scienceBaseUri":"57d28babe4b0571647d0f922","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":641012,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70177051,"text":"70177051 - 2016 - Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone","interactions":[],"lastModifiedDate":"2017-01-11T16:50:30","indexId":"70177051","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone","docAbstract":"<p><span>Knowledge of the local state of stress is critical in appraising intraplate seismic hazard. Inverting earthquake moment tensors, we demonstrate that principal stress directions in the New Madrid seismic zone (NMSZ) differ significantly from those in the surrounding region. Faults in the NMSZ that are incompatible with slip in the regional stress field are favorably oriented relative to local stress. We jointly analyze seismic velocity, gravity, and topography to develop a 3-D crustal and upper mantle density model, revealing uniquely dense lower crust beneath the NMSZ. Finite element simulations then estimate the stress tensor due to gravitational body forces, which sums with regional stress. The anomalous lower crust both elevates gravity-derived stress at seismogenic depths in the NMSZ and rotates it to interfere more constructively with far-field stress, producing a regionally maximal deviatoric stress coincident with the highest concentration of modern seismicity. Moreover, predicted principal stress directions mirror variations (observed independently in moment tensors) at the NMSZ and across the region.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL070175","usgsCitation":"Levandowski, W.B., Boyd, O.S., and Ramirez-Guzman, L., 2016, Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone: Geophysical Research Letters, v. 43, no. 16, p. 8499-8510, https://doi.org/10.1002/2016GL070175.","productDescription":"12 p.","startPage":"8499","endPage":"8510","numberOfPages":"12","ipdsId":"IP-077991","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070175","text":"Publisher Index Page"},{"id":329638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.703125,\n              35.137879119634185\n            ],\n            [\n              -90.703125,\n              36.99377838872517\n            ],\n            [\n              -88.714599609375,\n              36.99377838872517\n            ],\n            [\n              -88.714599609375,\n              35.137879119634185\n            ],\n            [\n              -90.703125,\n              35.137879119634185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"5805e34ee4b0824b2d1c24c0","contributors":{"authors":[{"text":"Levandowski, William Brower 0000-0003-4903-5012 wlevandowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4903-5012","contributorId":5729,"corporation":false,"usgs":true,"family":"Levandowski","given":"William","email":"wlevandowski@usgs.gov","middleInitial":"Brower","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":651141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":651142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":175444,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":651143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176202,"text":"70176202 - 2016 - Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","interactions":[],"lastModifiedDate":"2016-09-01T16:46:32","indexId":"70176202","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change","docAbstract":"<p><span>Frequent high-resolution measurements of topography at active volcanoes can provide important information for assessing the distribution and rate of emplacement of volcanic deposits and their influence on hazard. At dome-building volcanoes, monitoring techniques such as LiDAR and photogrammetry often provide a limited view of the area affected by the eruption. Here, we show the ability of satellite radar observations to image the lava dome and pyroclastic density current deposits that resulted from 15 years of eruptive activity at Soufrière Hills Volcano, Montserrat, from 1995 to 2010. We present the first geodetic measurements of the complete subaerial deposition field on Montserrat, including the lava dome. Synthetic aperture radar observations from the Advanced Land Observation Satellite (ALOS) and TanDEM-X mission are used to map the distribution and magnitude of elevation changes. We estimate a net dense-rock equivalent volume increase of 108 ± 15M m</span><sup>3</sup><span> of the lava dome and 300 ± 220M m</span><sup>3</sup><span> of talus and subaerial pyroclastic density current deposits. We also show variations in deposit distribution during different phases of the eruption, with greatest on-land deposition to the south and west, from 1995 to 2005, and the thickest deposits to the west and north after 2005. We conclude by assessing the potential of using radar-derived topographic measurements as a tool for monitoring and hazard assessment during eruptions at dome-building volcanoes.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01291.1","usgsCitation":"Arnold, D.W., Biggs, J., Wadge, G., Ebmeier, S., Odbert, H.M., and Poland, M., 2016, Dome growth, collapse, and valley fill at Soufrière Hills Volcano, Montserrat, from 1995 to 2013: Contributions from satellite radar measurements of topographic change: Geosphere, v. 12, no. 4, p. 1300-1315, https://doi.org/10.1130/GES01291.1.","productDescription":"16 p.","startPage":"1300","endPage":"1315","ipdsId":"IP-070549","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":470628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01291.1","text":"Publisher Index Page"},{"id":328212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-27","publicationStatus":"PW","scienceBaseUri":"57c9431ce4b0f2f0cec13567","contributors":{"authors":[{"text":"Arnold, D. W. D.","contributorId":174270,"corporation":false,"usgs":false,"family":"Arnold","given":"D.","email":"","middleInitial":"W. D.","affiliations":[],"preferred":false,"id":647783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biggs, J.","contributorId":59241,"corporation":false,"usgs":true,"family":"Biggs","given":"J.","affiliations":[],"preferred":false,"id":647784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wadge, G.","contributorId":35106,"corporation":false,"usgs":true,"family":"Wadge","given":"G.","affiliations":[],"preferred":false,"id":647785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ebmeier, S. K.","contributorId":174271,"corporation":false,"usgs":false,"family":"Ebmeier","given":"S. K.","affiliations":[],"preferred":false,"id":647786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odbert, H. M.","contributorId":174272,"corporation":false,"usgs":false,"family":"Odbert","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":647787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":635,"corporation":false,"usgs":true,"family":"Poland","given":"Michael P.","email":"mpoland@usgs.gov","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":647782,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}