{"pageNumber":"1580","pageRowStart":"39475","pageSize":"25","recordCount":184578,"records":[{"id":70042835,"text":"70042835 - 2012 - Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents","interactions":[],"lastModifiedDate":"2013-05-14T13:11:14","indexId":"70042835","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1910,"text":"Human Dimensions of Wildlife: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents","docAbstract":"Management of pumas in the American West is typified by conflict among stakeholders plausibly rooted in life experiences and worldviews. We used a mail questionnaire to assess demographics, nature-views, puma-related life experiences and behaviors, and support for puma-related policies among residents of northern Arizona. Data from the questionnaire (n = 693 respondents) were used to model behaviors and support for policies. Compared to models based on nature-views and life experiences, those based on demographics had virtually no support from the data. The Utilitarian/Dominionistic nature-view had the strongest effect of any variable in six of seven models, and was associated with firearms and opposition to policies that would limit killing pumas. The Humanistic/Moralistic nature-view was positively associated with non-lethal behaviors and policies in five models. Gender had the strongest effect of any demographic variable. Compared to demographics alone, our results suggest that worldviews provide a more meaningful explanation of reported human behaviors and behavioral intentions regarding pumas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Human Dimensions of Wildlife: An International Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2012.627581","usgsCitation":"Mattson, D.J., and Ruther, E.J., 2012, Explaining reported puma-related behaviors and behavioral intentions among northern Arizona residents: Human Dimensions of Wildlife: An International Journal, v. 17, no. 2, p. 91-111, https://doi.org/10.1080/10871209.2012.627581.","productDescription":"21 p.","startPage":"91","endPage":"111","ipdsId":"IP-023590","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":272249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":266446,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/10871209.2012.627581"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.0,37.0 ], [ -109.0,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd58cce4b0b290850f8502","contributors":{"authors":[{"text":"Mattson, David J. david_mattson@usgs.gov","contributorId":3662,"corporation":false,"usgs":true,"family":"Mattson","given":"David","email":"david_mattson@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":472366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruther, Elizabeth J.","contributorId":75422,"corporation":false,"usgs":true,"family":"Ruther","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":472367,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045837,"text":"70045837 - 2012 - Type E botulism outbreaks: a manual for beach managers and the public","interactions":[],"lastModifiedDate":"2013-05-07T11:33:06","indexId":"70045837","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Type E botulism outbreaks: a manual for beach managers and the public","docAbstract":"The Great Lakes basin has undergone a resurgence of Type E botulism (often referred to as avian botulism) in recent years, characterized by dead birds and fish along the shores of the Great Lakes. The number of deaths and areas affected appear to be increasing to levels that induce concern about the ecological health of the Great Lakes nearshore waters.","language":"English","publisher":"U.S. Environmental Protection Agency","usgsCitation":"U.S. Environmental Protection Agency, 2012, Type E botulism outbreaks: a manual for beach managers and the public, ii, 19 p.","productDescription":"ii, 19 p.","numberOfPages":"32","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":271957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271956,"type":{"id":11,"text":"Document"},"url":"https://www.michigan.gov/documents/dnr/Botulism_Manual_2012_390795_7.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518a227be4b061e1bd5334e3"}
,{"id":70044417,"text":"70044417 - 2012 - Impacts of rural development on Yellowstone wildlife: linking grizzly bear Ursus arctos demographics with projected residential growth","interactions":[],"lastModifiedDate":"2013-06-05T23:45:29","indexId":"70044417","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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":"Impacts of rural development on Yellowstone wildlife: linking grizzly bear Ursus arctos demographics with projected residential growth","docAbstract":"Exurban development is consuming wildlife habitat within the Greater Yellowstone Ecosystem with potential consequences to the long-term conservation of grizzly bears Ursus arctos. We assessed the impacts of alternative future land-use scenarios by linking an existing regression-based simulation model predicting rural development with a spatially explicit model that predicted bear survival. Using demographic criteria that predict population trajectory, we portioned habitats into either source or sink, and projected the loss of source habitat associated with four different build out (new home construction) scenarios through 2020. Under boom growth, we predicted that 12 km<sup>2</sup> of source habitat were converted to sink habitat within the Grizzly Bear Recovery Zone (RZ), 189 km<sup>2</sup> were converted within the current distribution of grizzly bears outside of the RZ, and 289 km<sup>2</sup> were converted in the area outside the RZ identified as suitable grizzly bear habitat. Our findings showed that extremely low densities of residential development created sink habitats. We suggest that tools, such as those outlined in this article, in addition to zoning and subdivision regulation may prove more practical, and the most effective means of retaining large areas of undeveloped land and conserving grizzly bear source habitat will likely require a landscape-scale approach. We recommend a focus on land conservation efforts that retain open space (easements, purchases and trades) coupled with the implementation of ‘bear community programmes’ on an ecosystem wide basis in an effort to minimize human-bear conflicts, minimize management-related bear mortalities associated with preventable conflicts and to safeguard human communities. Our approach has application to other species and areas, and it has illustrated how spatially explicit demographic models can be combined with models predicting land-use change to help focus conservation priorities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/11-060","usgsCitation":"Schwartz, C.C., Gude, P.H., Landenburger, L., Haroldson, M.A., and Podruzny, S., 2012, Impacts of rural development on Yellowstone wildlife: linking grizzly bear Ursus arctos demographics with projected residential growth: Wildlife Biology, v. 18, no. 3, p. 246-257, https://doi.org/10.2981/11-060.","productDescription":"12 p.","startPage":"246","endPage":"257","ipdsId":"IP-030018","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":273345,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2981/11-060"},{"id":273346,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Yellowstone National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,44.13 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,44.13 ], [ -111.16,44.13 ] ] ] } } ] }","volume":"18","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05de8e4b030b519801254","contributors":{"authors":[{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":475558,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gude, Patricia H.","contributorId":43259,"corporation":false,"usgs":true,"family":"Gude","given":"Patricia","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landenburger, Lisa 0000-0002-4325-3652 lisa_landenburger@usgs.gov","orcid":"https://orcid.org/0000-0002-4325-3652","contributorId":4106,"corporation":false,"usgs":true,"family":"Landenburger","given":"Lisa","email":"lisa_landenburger@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":475555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":475554,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podruzny, Shannon","contributorId":45614,"corporation":false,"usgs":true,"family":"Podruzny","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":475557,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044786,"text":"70044786 - 2012 - Rare earths, the lanthanides, yttrium and scandium","interactions":[],"lastModifiedDate":"2013-05-05T16:44:01","indexId":"70044786","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Rare earths, the lanthanides, yttrium and scandium","docAbstract":"In 2011, rare earths were recovered from bastnasite concentrates at the Mountain Pass Mine in California. Consumption of refined rare-earth products decreased in 2011 from 2010. U.S. rare-earth imports originated primarily from China, with lesser amounts from Austria, Estonia, France and Japan. The United States imported all of its demand for yttrium metal and yttrium compounds, with most of it originating from China. Scandium was imported in various forms and processed domestically.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Bedinger, G., and Bleiwas, D., 2012, Rare earths, the lanthanides, yttrium and scandium: Mining Engineering, v. 64, no. 6, p. 86-88.","productDescription":"3 p.","startPage":"86","endPage":"88","ipdsId":"IP-037124","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51877f6ce4b078fc9c244bc7","contributors":{"authors":[{"text":"Bedinger, G.","contributorId":11921,"corporation":false,"usgs":true,"family":"Bedinger","given":"G.","affiliations":[],"preferred":false,"id":476312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bleiwas, D.","contributorId":103553,"corporation":false,"usgs":true,"family":"Bleiwas","given":"D.","email":"","affiliations":[],"preferred":false,"id":476313,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173871,"text":"70173871 - 2012 - Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","interactions":[],"lastModifiedDate":"2016-06-15T15:15:22","indexId":"70173871","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets","docAbstract":"<p><span>Fish bioenergetics models based on natural prey items have been widely used to address research and management questions. However, few attempts have been made to evaluate and apply bioenergetics models to hatchery-reared fish receiving commercial feeds that contain substantially higher energy densities than natural prey. In this study, we evaluated a bioenergetics model for age-0 largemouth bass&nbsp;</span><i>Micropterus salmoides</i><span>reared on four commercial feeds. Largemouth bass (</span><i>n</i><span>&nbsp;&asymp; 3,504) were reared for 70 d at 25&deg;C in sixteen 833-L circular tanks connected in parallel to a recirculation system. Model performance was evaluated using error components (mean, slope, and random) derived from decomposition of the mean square error obtained from regression of observed on predicted values. Mean predicted consumption was only 8.9% lower than mean observed consumption and was similar to error rates observed for largemouth bass consuming natural prey. Model evaluation showed that the 97.5% joint confidence region included the intercept of 0 (&minus;0.43 &plusmn; 3.65) and slope of 1 (1.08 &plusmn; 0.20), which indicates the model accurately predicted consumption. Moreover model error was similar among feeds (</span><i>P</i><span>&nbsp;= 0.98), and most error was probably attributable to sampling error (unconsumed feed), underestimated predator energy densities, or consumption-dependent error, which is common in bioenergetics models. This bioenergetics model could provide a valuable tool in hatchery production of largemouth bass. Furthermore, we believe that bioenergetics modeling could be useful in aquaculture production, particularly for species lacking historical hatchery constants or conventional growth models.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2012.675998","usgsCitation":"Csargo, I.J., Brown, M.L., and Chipps, S.R., 2012, Application of a bioenergetics model for hatchery production:  Largemouth bass fed commercial diets: North American Journal of Aquaculture, v. 74, no. 3, p. 352-359, https://doi.org/10.1080/15222055.2012.675998.","productDescription":"8 p.","startPage":"352","endPage":"359","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-034017","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2012-06-26","publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69c3","contributors":{"authors":[{"text":"Csargo, Isak J.","contributorId":171858,"corporation":false,"usgs":false,"family":"Csargo","given":"Isak","email":"","middleInitial":"J.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Michael L.","contributorId":171856,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":26958,"text":"South Dakota State University, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":638875,"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":638873,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042320,"text":"70042320 - 2012 - A prototype splitter apparatus for dividing large catches of small fish","interactions":[],"lastModifiedDate":"2013-02-26T19:55:46","indexId":"70042320","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A prototype splitter apparatus for dividing large catches of small fish","docAbstract":"Due to financial and time constraints, it is often necessary in fisheries studies to divide large samples of fish and estimate total catch from the subsample. The subsampling procedure may involve potential human biases or may be difficult to perform in rough conditions. We present a prototype gravity-fed splitter apparatus for dividing large samples of small fish (30–100 mm TL). The apparatus features a tapered hopper with a sliding and removable shutter. The apparatus provides a comparatively stable platform for objectively obtaining subsamples, and it can be modified to accommodate different sizes of fish and different sample volumes. The apparatus is easy to build, inexpensive, and convenient to use in the field. To illustrate the performance of the apparatus, we divided three samples (total <i>N</i> = 2,000 fish) composed of four fish species. Our results indicated no significant bias in estimating either the number or proportion of each species from the subsample. Use of this apparatus or a similar apparatus can help to standardize subsampling procedures in large surveys of fish. The apparatus could be used for other applications that require dividing a large amount of material into one or more smaller subsamples.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/02755947.2012.716018","usgsCitation":"Stapanian, M.A., and Edwards, W.H., 2012, A prototype splitter apparatus for dividing large catches of small fish: North American Journal of Fisheries Management, v. 32, no. 6, p. 1033-1038, https://doi.org/10.1080/02755947.2012.716018.","productDescription":"6 p.","startPage":"1033","endPage":"1038","ipdsId":"IP-039007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":268424,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268423,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/02755947.2012.716018"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-04","publicationStatus":"PW","scienceBaseUri":"53cd4a63e4b0b290850efbe8","contributors":{"authors":[{"text":"Stapanian, Martin A. 0000-0001-8173-4273 mstapanian@usgs.gov","orcid":"https://orcid.org/0000-0001-8173-4273","contributorId":3425,"corporation":false,"usgs":true,"family":"Stapanian","given":"Martin","email":"mstapanian@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":471270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, William H.","contributorId":9144,"corporation":false,"usgs":true,"family":"Edwards","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":471271,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70042325,"text":"70042325 - 2012 - Enterococci in the environment","interactions":[],"lastModifiedDate":"2020-09-11T18:01:45.393699","indexId":"70042325","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2730,"text":"Microbiology and Molecular Biology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Enterococci in the environment","docAbstract":"<p><span>Enterococci are common, commensal members of gut communities in mammals and birds, yet they are also opportunistic pathogens that cause millions of human and animal infections annually. Because they are shed in human and animal feces, are readily culturable, and predict human health risks from exposure to polluted recreational waters, they are used as surrogates for waterborne pathogens and as fecal indicator bacteria (FIB) in research and in water quality testing throughout the world. Evidence from several decades of research demonstrates, however, that enterococci may be present in high densities in the absence of obvious fecal sources and that environmental reservoirs of these FIB are important sources and sinks, with the potential to impact water quality. This review focuses on the distribution and microbial ecology of enterococci in environmental (secondary) habitats, including the effect of environmental stressors; an outline of their known and apparent sources, sinks, and fluxes; and an overview of the use of enterococci as FIB. Finally, the significance of emerging methodologies, such as microbial source tracking (MST) and empirical predictive models, as tools in water quality monitoring is addressed. The mounting evidence for widespread extraenteric sources and reservoirs of enterococci demonstrates the versatility of the genus&nbsp;</span><i><span id=\"named-content-3\" class=\"named-content genus-species\">Enterococcus</span></i><span>&nbsp;and argues for the necessity of a better understanding of their ecology in natural environments, as well as their roles as opportunistic pathogens and indicators of human pathogens.</span></p>","language":"English","publisher":"American Society for Microbiology","publisherLocation":"Washington, D.C.","doi":"10.1128/MMBR.00023-12","usgsCitation":"Byappanahalli, M., Nevers, M.B., Korajkic, A., Staley, Z.R., and Harwood, V.J., 2012, Enterococci in the environment: Microbiology and Molecular Biology Reviews, v. 76, no. 4, p. 685-706, https://doi.org/10.1128/MMBR.00023-12.","productDescription":"22 p.","startPage":"685","endPage":"706","ipdsId":"IP-039003","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":474322,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1128/mmbr.00023-12","text":"External Repository"},{"id":268799,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"513721fae4b02ab8869bffcd","contributors":{"authors":[{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":471274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":471277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korajkic, Asja","contributorId":93359,"corporation":false,"usgs":true,"family":"Korajkic","given":"Asja","email":"","affiliations":[],"preferred":false,"id":471278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staley, Zachery R.","contributorId":82593,"corporation":false,"usgs":true,"family":"Staley","given":"Zachery","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":471276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harwood, Valerie J.","contributorId":66567,"corporation":false,"usgs":true,"family":"Harwood","given":"Valerie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":471275,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044818,"text":"70044818 - 2012 - Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks","interactions":[],"lastModifiedDate":"2020-09-14T14:53:13.071776","indexId":"70044818","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks","docAbstract":"<p>The Blackbird district, east-central Idaho, contains the largest known Co reserves in the United States. The origin of strata-hosted Co-Cu ± Au mineralization at Blackbird has been a matter of controversy for decades. In order to differentiate among possible genetic models for the deposits, including various combinations of volcanic, sedimentary, magmatic, and metamorphic processes, we used U-Pb geochronology of xenotime, monazite, and zircon to establish time constraints for ore formation. New age data reported here were obtained using sensitive high resolution ion microprobe (SHRIMP) microanalysis of (1) detrital zircons from a sample of Mesoproterozoic siliciclastic metasedimentary country rock in the Blackbird district, (2) igneous zircons from Mesoproterozoic intrusions, and (3) xenotime and monazite from the Merle and Sunshine prospects at Blackbird.</p><p>Detrital zircon from metasandstone of the biotite phyllite-schist unit has ages mostly in the range of 1900 to 1600 Ma, plus a few Neoarchean and Paleoproterozoic grains. Age data for the six youngest grains form a coherent group at 1409 ± 10 Ma, regarded as the maximum age of deposition of metasedimentary country rocks of the central structural domain. Igneous zircons from nine samples of megacrystic granite, granite augen gneiss, and granodiorite augen gneiss that crop out north and east of the Blackbird district yield ages between 1383 ± 4 and 1359 ± 7 Ma. Emplacement of the Big Deer Creek megacrystic granite (1377 ± 4 Ma), structurally juxtaposed with host rocks in the Late Cretaceous ca. 5 km north of Blackbird, may have been involved in initial deposition of rare earth elements (REE) minerals and, possibly, sulfides.</p><p>In situ SHRIMP ages of xenotime and monazite in Co-rich samples from the Merle and Sunshine prospects, plus backscattered electron imagery and SHRIMP analyses of trace elements, indicate a complex sequence of Mesoproterozoic and Cretaceous events. On the basis of textural relationships observed in thin section, xeno-time and cobaltite formed during multiple episodes. The oldest age for xenotime (1370 ± 4 Ma), determined on oscillatory-zoned cores, may date the time of initial cobaltite formation, and provides a minimum age for the host metasedimentary rocks. Additional Proterozoic xenotime growth events occurred at 1315 to 1270 Ma and ca. 1050 Ma. Other xenotime grains and rims grew in conjunction with cobaltite during Cretaceous metamorphism. However, ages of these growth episodes cannot be precisely determined due to matrix effects on<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U data for xenotime. Monazite, some of which encloses cobaltite, uniformly has Cretaceous ages that mainly are 110 ± 3 and 92 ± 5 Ma. These data indicate that xenotime, monazite, and cobaltite were extensively mobilized and precipitated during Middle to Late Cretaceous metamorphic events.</p>","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.6.1143","usgsCitation":"Aleinikoff, J.N., Slack, J.F., Lund, K., Evans, K.V., Fanning, C., Mazdab, F.K., Wooden, J., and Pillers, R.M., 2012, Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks: Economic Geology, v. 107, no. 6, p. 1143-1175, https://doi.org/10.2113/econgeo.107.6.1143.","productDescription":"33 p.","startPage":"1143","endPage":"1175","ipdsId":"IP-021616","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":271334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Blackbird District","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.82635498046875,\n              44.98034238084973\n            ],\n            [\n              -114.20562744140625,\n              44.98034238084973\n            ],\n            [\n              -114.20562744140625,\n              45.40037851725538\n            ],\n            [\n              -114.82635498046875,\n              45.40037851725538\n            ],\n            [\n              -114.82635498046875,\n              44.98034238084973\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"51765be1e4b0f989f99e00ad","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":476365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. Mark","contributorId":46814,"corporation":false,"usgs":true,"family":"Fanning","given":"C. Mark","affiliations":[],"preferred":false,"id":476372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mazdab, Frank K.","contributorId":37468,"corporation":false,"usgs":true,"family":"Mazdab","given":"Frank","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooden, Joseph L.","contributorId":32209,"corporation":false,"usgs":true,"family":"Wooden","given":"Joseph L.","affiliations":[],"preferred":false,"id":476370,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pillers, Renee M. 0000-0003-4929-1569 rpillers@usgs.gov","orcid":"https://orcid.org/0000-0003-4929-1569","contributorId":2501,"corporation":false,"usgs":true,"family":"Pillers","given":"Renee","email":"rpillers@usgs.gov","middleInitial":"M.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476369,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044783,"text":"70044783 - 2012 - Estimating risks to aquatic life using quantile regression","interactions":[],"lastModifiedDate":"2013-06-21T14:19:06","indexId":"70044783","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating risks to aquatic life using quantile regression","docAbstract":"One of the primary goals of biological assessment is to assess whether contaminants or other stressors limit the ecological potential of running waters. It is important to interpret responses to contaminants relative to other environmental factors, but necessity or convenience limit quantification of all factors that influence ecological potential. In these situations, the concept of limiting factors is useful for data interpretation. We used quantile regression to measure risks to aquatic life exposed to metals by including all regression quantiles (τ  =  0.05–0.95, by increments of 0.05), not just the upper limit of density (e.g., 90<sup>th</sup> quantile). We measured population densities (individuals/0.1 m<sup>2</sup>) of 2 mayflies (Rhithrogena spp., Drunella spp.) and a caddisfly (Arctopsyche grandis), aqueous metal mixtures (Cd, Cu, Zn), and other limiting factors (basin area, site elevation, discharge, temperature) at 125 streams in Colorado. We used a model selection procedure to test which factor was most limiting to density. Arctopsyche grandis was limited by other factors, whereas metals limited most quantiles of density for the 2 mayflies. Metals reduced mayfly densities most at sites where other factors were not limiting. Where other factors were limiting, low mayfly densities were observed despite metal concentrations. Metals affected mayfly densities most at quantiles above the mean and not just at the upper limit of density. Risk models developed from quantile regression showed that mayfly densities observed at background metal concentrations are improbable when metal mixtures are at US Environmental Protection Agency criterion continuous concentrations. We conclude that metals limit potential density, not realized average density. The most obvious effects on mayfly populations were at upper quantiles and not mean density. Therefore, we suggest that policy developed from mean-based measures of effects may not be as useful as policy based on the concept of limiting factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-133.1","usgsCitation":"Schmidt, T., Clements, W.H., and Cade, B.S., 2012, Estimating risks to aquatic life using quantile regression: Freshwater Science, v. 31, no. 3, p. 709-723, https://doi.org/10.1899/11-133.1.","productDescription":"15 p.","startPage":"709","endPage":"723","ipdsId":"IP-017391","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-133.1"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e27","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":476308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043478,"text":"70043478 - 2012 - Short-term impacts of a 4-lane highway on black bears in eastern North Carolina","interactions":[],"lastModifiedDate":"2013-03-05T21:38:23","indexId":"70043478","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Short-term impacts of a 4-lane highway on black bears in eastern North Carolina","docAbstract":"Among numerous anthropogenic impacts on terrestrial landscapes, expanding transportation networks represent one of the primary challenges to wildlife conservation worldwide. Larger mammals may be particularly vulnerable because of typically low densities, low reproductive rates, and extensive movements. Although numerous studies have been conducted to document impacts of road networks on wildlife, inference has been limited because of experimental design limitations. During the last decade, the North Carolina Department of Transportation (NCDOT) rerouted and upgraded sections of United States Highway 64 between Raleigh and the Outer Banks to a 4-lane, divided highway. A new route was selected for a 24.1-km section in Washington County. The new section of highway included 3 wildlife underpasses with adjacent wildlife fencing to mitigate the effects of the highway on wildlife, particularly American black bears (Ursus americanus). We assessed the short-term impacts of the new highway on spatial ecology, population size, survival, occupancy, and gene flow of black bears. We tested our research hypotheses using a before-after control-impact (BACI) study design. We collected data during 2000–2001 (preconstruction phase) and 2006–2007 (postconstruction phase) in the highway project area and a nearby control area (each approx. 11,000 ha), resulting in 4 groups of data (i.e., pre- or postconstruction study phase, treatment or control area). We captured and radiocollared 57 bears and collected 5,775 hourly locations and 4,998 daily locations. Using mixed-model analysis of variance and logistic regression, we detected no differences in home ranges, movement characteristics, proximity to the highway alignment, or habitat use between the 2 study phases, although minimum detectable effect sizes were large for several tests. However, after completion of the new highway, bears on the treatment area became less inactive in morning, when highway traffic was low, compared with bears on the control area (F<sub>1, 43</sub> = 6.05, P = 0.018). We used DNA from hair samples to determine if population size and site occupancy decreased following highway construction. For each study phase, we collected black bear hair from 70 hair snares on each study area during 7 weekly sampling periods and generated genotypes using 10 microsatellite loci. We used the multilocus genotypes to obtain capture histories for 226 different bears and used capture-mark-recapture models to estimate population size. Model-averaged estimates of population size decreased on the treatment area from 87.7 bears before construction to 31.6 bears after construction (64% reduction) and on the control area from 163.6 bears to 108.2 bears (34% reduction). Permutation procedures indicated this reduction was proportionally greater for the treatment area (P = 0.086). We also applied a spatially explicit capture-recapture technique to test our research hypothesis. The model with the most support indicated a greater change in density on the treatment area (69% reduction) compared with the control area (24% reduction). We did not observe a treatment effect based on survival of radiocollared bears. We used bear visits to hair snares as detections in multi-season occupancy models and found that occupancy decreased more on the treatment area (preconstruction: Ψ = 0.84; postconstruction: Ψ = 0.44; 48% decline) than the control area (preconstruction: Ψ = 0.91; postconstruction: Ψ = 0.81; 11% decline), primarily as a function of a greater probability of site extinctions (ε) on the treatment area (ε = 0.57) than the control area (ε = 0.17). Finally, individual- and population-based analyses of contemporary gene flow did not indicate the highway was a barrier to movements. Black bear use of the 3 wildlife underpasses was infrequent (17 verified crossings based on remote cameras, track surveys, and telemetry). Only 4 of 8 bears with home ranges near the highway were documented crossing the highway (n = 36 crossings), of which 2 were killed in vehicle collisions. Six additional bears were killed in vehicle collisions from May 2007 to November 2008, after we completed field work. Harvest data indicated that hunting mortality alone could explain the population decline on the control area. On the treatment area, however, hunting mortality only accounted for an approximately 40% population decline; the additional 30% decline we observed likely was caused by other mortality. We speculate vehicle collisions were primarily responsible. We conclude that impacts of the new highway on resident black bears occurred at the population level, rather than the individual or genetic level, but that the impact was smaller than harvest mortality. Increased activity by remaining bears when traffic volumes were low indicated behavioral plasticity. Bear use of the underpasses seemed sufficient to maintain gene flow between areas north and south of the new highway. Effectiveness of wildlife underpasses to reduce mortality of black bears may be enhanced if mitigation includes continuous fencing between crossing structures. For small, isolated populations of threatened or endangered large mammals, the potential demographic impacts of highways are an essential consideration in the transportation planning process. Control of mortality factors and maintaining demographic connectivity are particularly important.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wildlife Monographs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/wmon.7","usgsCitation":"van Manen, F., McCollister, M.F., Nicholson, J.M., Thompson, L.M., Kindall, J.L., and Jones, M., 2012, Short-term impacts of a 4-lane highway on black bears in eastern North Carolina: Wildlife Monographs, v. 181, no. 1, p. 1-35, https://doi.org/10.1002/wmon.7.","productDescription":"35 p.","startPage":"1","endPage":"35","ipdsId":"IP-026614","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":474125,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wmon.7","text":"Publisher Index Page"},{"id":268816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268815,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wmon.7"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"181","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-04-19","publicationStatus":"PW","scienceBaseUri":"51372213e4b02ab8869c0036","contributors":{"authors":[{"text":"van Manen, Frank T.","contributorId":51172,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank T.","affiliations":[],"preferred":false,"id":473673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCollister, Matthew F.","contributorId":107161,"corporation":false,"usgs":true,"family":"McCollister","given":"Matthew","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":473676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Jeremy M.","contributorId":6343,"corporation":false,"usgs":true,"family":"Nicholson","given":"Jeremy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":473672,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Laura M. 0000-0002-7884-6001 lthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":5366,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","email":"lthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":473671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kindall, Jason L.","contributorId":99441,"corporation":false,"usgs":true,"family":"Kindall","given":"Jason","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473675,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Mark D.","contributorId":64119,"corporation":false,"usgs":true,"family":"Jones","given":"Mark D.","affiliations":[],"preferred":false,"id":473674,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70042904,"text":"70042904 - 2012 - Hotspot: the Snake River Geothermal Drilling Project--initial report","interactions":[],"lastModifiedDate":"2013-06-04T11:42:40","indexId":"70042904","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1827,"text":"Geothermal Resources Council Transactions","active":true,"publicationSubtype":{"id":10}},"title":"Hotspot: the Snake River Geothermal Drilling Project--initial report","docAbstract":"The Snake River volcanic province (SRP) overlies a thermal anomaly that extends deep into the mantle; it represents one of the highest heat flow provinces in North America. The primary goal of this project is to evaluate geothermal potential in three distinct settings: (1) Kimama site: inferred high sub-aquifer geothermal gradient associated with the intrusion of mafic magmas, (2) Kimberly site: a valley-margin setting where surface heat flow may be driven by the up-flow of hot fluids along buried caldera ringfault complexes, and (3) Mountain Home site: a more traditional fault-bounded basin with thick sedimentary cover. The Kimama hole, on the axial volcanic zone, penetrated 1912 m of basalt with minor intercalated sediment; no rhyolite basement was encountered. Temperatures are isothermal through the aquifer (to 960 m), then rise steeply on a super-conductive gradient to an estimated bottom hole temperature of ~98°C. The Kimberly hole is on the inferred margin of a buried rhyolite eruptive center, penetrated rhyolite with intercalated basalt and sediment to a TD of 1958 m. Temperatures are isothermal at 55-60°C below 400 m, suggesting an immense passive geothermal resource. The Mountain Home hole is located above the margin of a buried gravity high in the western SRP. It penetrates a thick section of basalt and lacustrine sediment overlying altered basalt flows, hyaloclastites, and volcanic sediments, with a TD of 1821 m. Artesian flow of geothermal water from 1745 m depth documents a power-grade resource that is now being explored in more detail. In-depth studies continue at all three sites, complemented by high-resolution gravity, magnetic, and seismic surveys, and by downhole geophysical logging.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geothermal Resources Council Transactions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Shervais, J., Nielson, D., Lachmar, T., Christiansen, E.H., Morgan, L., Shanks, W., Delahunty, C., Schmitt, D., Liberty, L., Blackwell, D., Glen, J.M., Kessler, J., Potter, K., Jean, M., Sant, C., and Freeman, T., 2012, Hotspot: the Snake River Geothermal Drilling Project--initial report: Geothermal Resources Council Transactions, v. 36, p. 767-772.","productDescription":"6 p.","startPage":"767","endPage":"772","ipdsId":"IP-042002","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273197,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1030315"}],"country":"United States","otherGeospatial":"Snake River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.0,40.75 ], [ -119.0,45.25 ], [ -109.66,45.25 ], [ -109.66,40.75 ], [ -119.0,40.75 ] ] ] } } ] }","volume":"36","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c6ae4b08a3322c2c2f0","contributors":{"authors":[{"text":"Shervais, J.W.","contributorId":14867,"corporation":false,"usgs":true,"family":"Shervais","given":"J.W.","affiliations":[],"preferred":false,"id":472540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nielson, D.","contributorId":55314,"corporation":false,"usgs":true,"family":"Nielson","given":"D.","email":"","affiliations":[],"preferred":false,"id":472545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lachmar, T.","contributorId":99026,"corporation":false,"usgs":true,"family":"Lachmar","given":"T.","email":"","affiliations":[],"preferred":false,"id":472552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christiansen, E. H.","contributorId":65077,"corporation":false,"usgs":true,"family":"Christiansen","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":472548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, L.","contributorId":13119,"corporation":false,"usgs":true,"family":"Morgan","given":"L.","affiliations":[],"preferred":false,"id":472539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shanks, Wayne C.","contributorId":39419,"corporation":false,"usgs":true,"family":"Shanks","given":"Wayne C.","affiliations":[],"preferred":false,"id":472544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Delahunty, C.","contributorId":92148,"corporation":false,"usgs":true,"family":"Delahunty","given":"C.","email":"","affiliations":[],"preferred":false,"id":472551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmitt, D.R.","contributorId":29719,"corporation":false,"usgs":true,"family":"Schmitt","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":472542,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Liberty, L.M.","contributorId":58749,"corporation":false,"usgs":true,"family":"Liberty","given":"L.M.","affiliations":[],"preferred":false,"id":472546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Blackwell, D.D.","contributorId":20905,"corporation":false,"usgs":true,"family":"Blackwell","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":472541,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Glen, J. M.","contributorId":37338,"corporation":false,"usgs":true,"family":"Glen","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472543,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kessler, J.A.","contributorId":87841,"corporation":false,"usgs":true,"family":"Kessler","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":472550,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Potter, K.E.","contributorId":62111,"corporation":false,"usgs":true,"family":"Potter","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":472547,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Jean, M.M.","contributorId":73486,"corporation":false,"usgs":true,"family":"Jean","given":"M.M.","email":"","affiliations":[],"preferred":false,"id":472549,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sant, C.J.","contributorId":99864,"corporation":false,"usgs":true,"family":"Sant","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":472553,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Freeman, T.","contributorId":105198,"corporation":false,"usgs":true,"family":"Freeman","given":"T.","email":"","affiliations":[],"preferred":false,"id":472554,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70043178,"text":"70043178 - 2012 - Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS","interactions":[],"lastModifiedDate":"2013-06-05T14:53:04","indexId":"70043178","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS","docAbstract":"This study dynamically monitors ecosystem performance (EP) to identify grasslands potentially suitable for cellulosic feedstock crops (e.g., switchgrass) within the Greater Platte River Basin (GPRB). We computed grassland site potential and EP anomalies using 9-year (2000–2008) time series of 250 m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation Index data, geophysical and biophysical data, weather and climate data, and EP models. We hypothesize that areas with fairly consistent high grassland productivity (i.e., high grassland site potential) in fair to good range condition (i.e., persistent ecosystem overperformance or normal performance, indicating a lack of severe ecological disturbance) are potentially suitable for cellulosic feedstock crop development. Unproductive (i.e., low grassland site potential) or degraded grasslands (i.e., persistent ecosystem underperformance with poor range condition) are not appropriate for cellulosic feedstock development. Grassland pixels with high or moderate ecosystem site potential and with more than 7 years ecosystem normal performance or overperformance during 2000–2008 are identified as possible regions for future cellulosic feedstock crop development (ca. 68 000 km<sup>2</sup> within the GPRB, mostly in the eastern areas). Long-term climate conditions, elevation, soil organic carbon, and yearly seasonal precipitation and temperature are important performance variables to determine the suitable areas in this study. The final map delineating the suitable areas within the GPRB provides a new monitoring and modeling approach that can contribute to decision support tools to help land managers and decision makers make optimal land use decisions regarding cellulosic feedstock crop development and sustainability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GCB Bioenergy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1757-1707.2011.01113.x","usgsCitation":"Gu, Y., Boyte, S., Wylie, B.K., and Tieszen, L.L., 2012, Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS: GCB Bioenergy, v. 4, no. 1, p. 96-106, https://doi.org/10.1111/j.1757-1707.2011.01113.x.","productDescription":"11 p.","startPage":"96","endPage":"106","ipdsId":"IP-023332","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1757-1707.2011.01113.x","text":"Publisher Index Page"},{"id":273336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273335,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1757-1707.2011.01113.x"}],"country":"United States","state":"Nebraska;Wyoming;Colorado;Kansas;South Dakota","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.5 ], [ -109.0,44.0 ], [ -95.5,44.0 ], [ -95.5,37.5 ], [ -109.0,37.5 ] ] ] } } ] }","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-21","publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b519801227","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":103539,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[],"preferred":false,"id":473113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","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":473111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043955,"text":"70043955 - 2012 - Development of a real-time PCR assay for detection of planktonic red king crab (<i>Paralithodes camtschaticus</i> (Tilesius 1815)) larvae","interactions":[],"lastModifiedDate":"2016-05-17T08:46:40","indexId":"70043955","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Development of a real-time PCR assay for detection of planktonic red king crab (<i>Paralithodes camtschaticus</i> (Tilesius 1815)) larvae","docAbstract":"<p>The Alaskan red king crab (<i>Paralithodes camtschaticus</i>) fishery was once one of the most economically important single-species fisheries in the world, but is currently depressed. This fishery would benefit from improved stock assessment capabilities. Larval crab distribution is patchy temporally and spatially, requiring extensive sampling efforts to locate and track larval dispersal. Large-scale plankton surveys are generally cost prohibitive because of the effort required for collection and the time and taxonomic expertise required to sort samples to identify plankton individually via light microscopy. Here, we report the development of primers and a dual-labeled probe for use in a DNA-based real-time polymerase chain reaction assay targeting the red king crab, mitochondrial gene cytochrome oxidase I for the detection of red king crab larvae DNA in plankton samples. The assay allows identification of plankton samples containing crab larvae DNA and provides an estimate of DNA copy number present in a sample without sorting the plankton sample visually. The assay was tested on DNA extracted from whole red king crab larvae and plankton samples seeded with whole larvae, and it detected DNA copies equivalent to 1/10,000th of a larva and 1 crab larva/5mL sieved plankton, respectively. The real-time polymerase chain reaction assay can be used to screen plankton samples for larvae in a fraction of the time required for traditional microscopial methods, which offers advantages for stock assessment methodologies for red king crab as well as a rapid and reliable method to assess abundance of red king crab larvae as needed to improve the understanding of life history and population processes, including larval population dynamics.</p>","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.031.0402","usgsCitation":"Jensen, P.C., Purcell, M., Morado, J.F., and Eckert, G.L., 2012, Development of a real-time PCR assay for detection of planktonic red king crab (<i>Paralithodes camtschaticus</i> (Tilesius 1815)) larvae: Journal of Shellfish Research, v. 31, no. 4, p. 917-924, https://doi.org/10.2983/035.031.0402.","productDescription":"8 p.","startPage":"917","endPage":"924","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037763","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":271443,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5062e4b072c16ef14aeb","contributors":{"authors":[{"text":"Jensen, Pamela C.","contributorId":38877,"corporation":false,"usgs":true,"family":"Jensen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Purcell, Maureen K.","contributorId":104214,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen K.","affiliations":[],"preferred":false,"id":474548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morado, J. Frank","contributorId":10701,"corporation":false,"usgs":true,"family":"Morado","given":"J.","email":"","middleInitial":"Frank","affiliations":[],"preferred":false,"id":474545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eckert, Ginny L.","contributorId":87835,"corporation":false,"usgs":true,"family":"Eckert","given":"Ginny","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474547,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042844,"text":"70042844 - 2012 - Hydromechanical effects of continental glaciation on groundwater systems","interactions":[],"lastModifiedDate":"2013-02-26T11:59:47","indexId":"70042844","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1765,"text":"Geofluids","active":true,"publicationSubtype":{"id":10}},"title":"Hydromechanical effects of continental glaciation on groundwater systems","docAbstract":"Hydromechanical effects of continental ice sheets may involve considerably more than the widely recognized direct compression of overridden terrains by ice load. Lithospheric flexure, which lags ice advance and retreat, appears capable of causing comparable or greater stress changes. Together, direct and flexural loading may increase fluid pressures by tens of MPa in geologic units unable to drain. If so, fluid pressures in low-permeability formations subject to glaciation may have increased and decreased repeatedly during cycles of Pleistocene glaciation and can again in the future. Being asynchronous and normally oriented, direct and flexural loading presumably cause normal and shear stresses to evolve in a complex fashion through much or all of a glacial cycle. Simulations of fractured rock predict permeability might vary by two to three orders of magnitude under similar stress changes as fractures at different orientations are subjected to changing normal and shear stresses and some become critically stressed. Uncertainties surrounding these processes and their interactions, and the confounding influences of surface hydrologic changes, make it challenging to delineate their effects on groundwater flow and pressure regimes with any specificity. To date, evidence for hydromechanical changes caused by the last glaciation is sparse and inconclusive, comprising a few pressure anomalies attributed to the removal of direct ice load. This may change as more data are gathered, and understanding of relevant processes is refined.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geofluids","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-8123.2011.00347.x","usgsCitation":"Neuzil, C., 2012, Hydromechanical effects of continental glaciation on groundwater systems: Geofluids, v. 12, no. 1, p. 22-37, https://doi.org/10.1111/j.1468-8123.2011.00347.x.","productDescription":"16 p.","startPage":"22","endPage":"37","ipdsId":"IP-027857","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":268370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268369,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-8123.2011.00347.x"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-09-25","publicationStatus":"PW","scienceBaseUri":"53cd61cfe4b0b290850fdbfc","contributors":{"authors":[{"text":"Neuzil, C. E. 0000-0003-2022-4055","orcid":"https://orcid.org/0000-0003-2022-4055","contributorId":81078,"corporation":false,"usgs":true,"family":"Neuzil","given":"C. E.","affiliations":[],"preferred":false,"id":472375,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045581,"text":"70045581 - 2012 - Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","interactions":[],"lastModifiedDate":"2013-04-24T17:07:53","indexId":"70045581","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora","docAbstract":"The SLEUTH urban growth model is applied to a binational dryland watershed to envision and evaluate plausible future scenarios of land use change into the year 2050. Our objective was to create a suite of geospatial footprints portraying potential land use change that can be used to aid binational decision-makers in assessing the impacts relative to sustainability of natural resources and potential socio-ecological consequences of proposed land-use management. Three alternatives are designed to simulate different conditions: (i) a Current Trends Scenario of unmanaged exponential growth, (ii) a Conservation Scenario with managed growth to protect the environment, and (iii) a Megalopolis Scenario in which growth is accentuated around a defined international trade corridor. The model was calibrated with historical data extracted from a time series of satellite images. Model materials, methodology, and results are presented. Our Current Trends Scenario predicts the footprint of urban growth to approximately triple from 2009 to 2050, which is corroborated by local population estimates. The Conservation Scenario results in protecting 46% more of the Evergreen class (more than 150,000 acres) than the Current Trends Scenario and approximately 95,000 acres of Barren Land, Crops, Deciduous Forest (Mesquite Bosque), Grassland/Herbaceous, Urban/Recreational Grasses, and Wetlands classes combined. The Megalopolis Scenario results also depict the preservation of some of these land-use classes compared to the Current Trends Scenario, most notably in the environmentally important headwaters region. Connectivity and areal extent of land cover types that provide wildlife habitat were preserved under the alternative scenarios when compared to Current Trends.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2012.06.015","usgsCitation":"Norman, L.M., Feller, M., and Villarreal, M., 2012, Developing spatially explicit footprints of plausible land-use scenarios in the Santa Cruz Watershed, Arizona and Sonora: Landscape and Urban Planning, v. 107, no. 3, p. 225-235, https://doi.org/10.1016/j.landurbplan.2012.06.015.","productDescription":"11 p.","startPage":"225","endPage":"235","ipdsId":"IP-030525","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":474170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2012.06.015","text":"Publisher Index Page"},{"id":271427,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271426,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2012.06.015"}],"country":"United States;Mexico","state":"Arizona;Sonora","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -115.05,26.3 ], [ -115.05,37.0 ], [ -108.42,37.0 ], [ -108.42,26.3 ], [ -115.05,26.3 ] ] ] } } ] }","volume":"107","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee5e4b0d842c705f6e7","contributors":{"authors":[{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":477869,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feller, Mark","contributorId":79931,"corporation":false,"usgs":true,"family":"Feller","given":"Mark","affiliations":[],"preferred":false,"id":477870,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L.","contributorId":107012,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel L.","affiliations":[],"preferred":false,"id":477871,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043878,"text":"70043878 - 2012 - Increased temperature and altered summer precipitation have differential effects on biological soil crusts in a dryland ecosystem","interactions":[],"lastModifiedDate":"2013-06-06T21:13:28","indexId":"70043878","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Increased temperature and altered summer precipitation have differential effects on biological soil crusts in a dryland ecosystem","docAbstract":"Biological soil crusts (biocrusts) are common and ecologically important members of dryland ecosystems worldwide, where they stabilize soil surfaces and contribute newly fixed C and N to soils. To test the impacts of predicted climate change scenarios on biocrusts in a dryland ecosystem, the effects of a 2–3 °C increase in soil temperature and an increased frequency of smaller summer precipitation events were examined in a large, replicated field study conducted in the cold desert of the Colorado Plateau, USA. Surface soil biomass (DNA concentration), photosynthetically active cyanobacterial biomass (chlorophyll a concentration), cyanobacterial abundance (quantitative PCR assay), and bacterial community composition (16S rRNA gene sequencing) were monitored seasonally over 2 years. Soil microbial biomass and bacterial community composition were highly stratified between the 0–2 cm depth biocrusts and 5–10 cm depth soil beneath the biocrusts. The increase in temperature did not have a detectable effect on any of the measured parameters over 2 years. However, after the second summer of altered summer precipitation pattern, significant declines occurred in the surface soil biomass (avg. DNA concentration declined 38%), photosynthetic cyanobacterial biomass (avg. chlorophyll a concentration declined 78%), cyanobacterial abundance (avg. gene copies g<sup>−1</sup> soil declined 95%), and proportion of Cyanobacteria in the biocrust bacterial community (avg. representation in sequence libraries declined 85%). Biocrusts are important contributors to soil stability, soil C and N stores, and plant performance, and the loss or reduction of biocrusts under an altered precipitation pattern associated with climate change could contribute significantly to lower soil fertility and increased erosion and dust production in dryland ecosystems at a regional scale.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Global Change Biology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1365-2486.2012.02709.x","usgsCitation":"Johnson, S.L., Kuske, C.R., Carney, T.D., Housman, D.C., Gallegos-Graves, L., and Belnap, J., 2012, Increased temperature and altered summer precipitation have differential effects on biological soil crusts in a dryland ecosystem: Global Change Biology, v. 18, no. 8, p. 2583-2593, https://doi.org/10.1111/j.1365-2486.2012.02709.x.","productDescription":"11 p.","startPage":"2583","endPage":"2593","ipdsId":"IP-037065","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":273420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273419,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1365-2486.2012.02709.x"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-05-09","publicationStatus":"PW","scienceBaseUri":"51b1bbd4e4b022a6a540f9f7","contributors":{"authors":[{"text":"Johnson, Shannon L.","contributorId":22643,"corporation":false,"usgs":true,"family":"Johnson","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuske, Cheryl R.","contributorId":81063,"corporation":false,"usgs":false,"family":"Kuske","given":"Cheryl","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474368,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carney, Travis D.","contributorId":15486,"corporation":false,"usgs":true,"family":"Carney","given":"Travis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Housman, David C.","contributorId":60752,"corporation":false,"usgs":false,"family":"Housman","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":474367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallegos-Graves, La Verne","contributorId":97408,"corporation":false,"usgs":true,"family":"Gallegos-Graves","given":"La Verne","affiliations":[],"preferred":false,"id":474369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":474364,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044403,"text":"70044403 - 2012 - Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","interactions":[],"lastModifiedDate":"2013-04-09T15:56:10","indexId":"70044403","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river","docAbstract":"Storm-driven flow pulses in rivers destroy and restructure sediment habitats that affect stream metabolism. This study examined thresholds of bed disturbances that affected patch- and reach-scale sediment conditions and metabolism rates. A 4 year record of discharge and diel changes in dissolved oxygen concentrations (ΔDO) was analyzed for disturbances and recovery periods of the ΔDO signal. Disturbances to the ΔDO signal were associated with flow pulses, and the recovery times for the ΔDO signal were found to be in two categories: less than 5 days (30% of the disturbances) or greater than 15 days (70% of the disturbances). A field study was performed during the fall of 2007, which included a storm event that increased discharge from 3.1 to 6.9 m<sup>3</sup>/s over a 7 h period. During stable flow conditions before the storm, variability in patch-scale stream metabolism values were associated with sediment texture classes with values ranging from −16.4 to 2.3 g O<sub>2</sub></m<sup>2</sup>/d (negative sign indicates net respiration) that bounded the reach-averaged rate of −5.6 g O<sub>2</sub></m<sup>2</sup>/d. Hydraulic modeling of bed shear stresses demonstrated a storm-induced flow pulse mobilized approximately 25% of the bed and reach-scale metabolism rates shifted from −5 to −40 g O<sub>2</sub></m<sup>2</sup>/d. These results suggest that storm-induced bed disturbances led to threshold behavior with respect to stream metabolism. Small flow pulses resulted in partial-bed mobilization that disrupted stream metabolism by increased turbidity with short recovery times. Large flow pulses resulted in full-bed mobilization that disrupted stream metabolism by destroying periphyton habitats with long recovery times.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011488","usgsCitation":"O’Connor, B.L., Harvey, J.W., and McPhillips, L.E., 2012, Thresholds of flow-induced bed disturbances and their effects on stream metabolism in an agricultural river: Water Resources Research, v. 48, no. 8, W08504, https://doi.org/10.1029/2011WR011488.","productDescription":"W08504","ipdsId":"IP-037433","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011488","text":"Publisher Index Page"},{"id":270728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270727,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011488"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-04","publicationStatus":"PW","scienceBaseUri":"51653873e4b077fa94dae026","contributors":{"authors":[{"text":"O’Connor, Ben L.","contributorId":38872,"corporation":false,"usgs":false,"family":"O’Connor","given":"Ben","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McPhillips, Lauren E.","contributorId":15491,"corporation":false,"usgs":true,"family":"McPhillips","given":"Lauren","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":475519,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043016,"text":"70043016 - 2012 - Applications of science and engineering to quantify and control the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2013-04-09T12:04:52","indexId":"70043016","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Applications of science and engineering to quantify and control the Deepwater Horizon oil spill","docAbstract":"The unprecedented engagement of scientists from government, academia, and industry enabled multiple unanticipated and unique problems to be addressed during the Deepwater Horizon oil spill. During the months between the initial blowout on April 20, 2010, and the final well kill on September 19, 2010, researchers prepared options, analyses of tradeoffs, assessments, and calculations of uncertainties associated with the flow rate of the well, well shut in, killing the well, and determination of the location of oil released into the environment. This information was used in near real time by the National Incident Commander and other government decision-makers. It increased transparency into BP’s proposed actions and gave the government confidence that, at each stage proposed, courses of action had been thoroughly vetted to reduce risk to human life and the environment and improve chances of success.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PNAS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sicences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1214389109","usgsCitation":"McNutt, M.K., Chu, S., Lubchenco, J., Hunter, T., Dreyfus, G., Murawski, S.A., and Kennedy, D.M., 2012, Applications of science and engineering to quantify and control the Deepwater Horizon oil spill: PNAS, v. 109, no. 50, p. 20222-20228, https://doi.org/10.1073/pnas.1214389109.","productDescription":"7 p.","startPage":"20222","endPage":"20228","additionalOnlineFiles":"Y","ipdsId":"IP-040450","costCenters":[{"id":511,"text":"Office of the Director","active":false,"usgs":true}],"links":[{"id":474137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1214389109","text":"Publisher Index Page"},{"id":270693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270692,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1214389109"}],"country":"United States","state":"Alabama;Florida;Louisiana;Mississippi;Texas","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -99.75,24.0 ], [ -99.75,33.31 ], [ -79.9,33.31 ], [ -79.9,24.0 ], [ -99.75,24.0 ] ] ] } } ] }","volume":"109","issue":"50","noUsgsAuthors":false,"publicationDate":"2012-12-03","publicationStatus":"PW","scienceBaseUri":"51653863e4b077fa94dadf6b","contributors":{"authors":[{"text":"McNutt, Marcia K. 0000-0003-0117-7716 mcnutt@usgs.gov","orcid":"https://orcid.org/0000-0003-0117-7716","contributorId":327,"corporation":false,"usgs":true,"family":"McNutt","given":"Marcia","email":"mcnutt@usgs.gov","middleInitial":"K.","affiliations":[{"id":5066,"text":"Office of the Director USGS","active":true,"usgs":true}],"preferred":false,"id":472787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chu, Steven","contributorId":87041,"corporation":false,"usgs":false,"family":"Chu","given":"Steven","email":"","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":472792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lubchenco, Jane","contributorId":102350,"corporation":false,"usgs":false,"family":"Lubchenco","given":"Jane","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":472793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunter, Tom","contributorId":47657,"corporation":false,"usgs":false,"family":"Hunter","given":"Tom","email":"","affiliations":[{"id":34829,"text":"Sandia National Laboratories","active":true,"usgs":false}],"preferred":false,"id":472789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dreyfus, Gabrielle","contributorId":62479,"corporation":false,"usgs":false,"family":"Dreyfus","given":"Gabrielle","email":"","affiliations":[{"id":34793,"text":"National Oceanic and Atmospheric Administration (NOAA)","active":true,"usgs":false}],"preferred":false,"id":472791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murawski, Steven A.","contributorId":46377,"corporation":false,"usgs":false,"family":"Murawski","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":34793,"text":"National Oceanic and Atmospheric Administration (NOAA)","active":true,"usgs":false}],"preferred":false,"id":472788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kennedy, David M.","contributorId":50421,"corporation":false,"usgs":false,"family":"Kennedy","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":34793,"text":"National Oceanic and Atmospheric Administration (NOAA)","active":true,"usgs":false}],"preferred":false,"id":472790,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70042839,"text":"70042839 - 2012 - Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","interactions":[],"lastModifiedDate":"2021-01-05T18:03:09.591392","indexId":"70042839","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","docAbstract":"Sedimentation in the Sacramento–San Joaquin River Delta builds the Delta landscape, creates benthic and pelagic habitat, and transports sediment-associated contaminants. Here we present a conceptual model of sedimentation that includes submodels for river supply from the watershed to the Delta, regional transport within the Delta and seaward exchange, and local sedimentation in open water and marsh habitats. The model demonstrates feedback loops that affect the Delta ecosystem. Submerged and emergent marsh vegetation act as ecosystem engineers that can create a positive feedback loop by decreasing suspended sediment, increasing water column light, which in turn enables more vegetation. Sea-level rise in open water is partially countered by a negative feedback loop that increases deposition if there is a net decrease in hydrodynamic energy. Manipulation of regional sediment transport is probably the most feasible method to control suspended sediment and thus turbidity. The conceptual model is used to identify information gaps that need to be filled to develop an accurate sediment transport model.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss3art3","usgsCitation":"Schoellhamer, D., Wright, S., and Drexler, J., 2012, Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta: San Francisco Estuary and Watershed Science, v. 10, no. 3, 25 p., https://doi.org/10.15447/sfews.2012v10iss3art3.","productDescription":"25 p.","ipdsId":"IP-021663","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss3art3","text":"Publisher Index Page"},{"id":381885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.53,37.15 ], [ -123.53,38.85 ], [ -120.83,38.85 ], [ -120.83,37.15 ], [ -123.53,37.15 ] ] ] } } ] }","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-10-22","publicationStatus":"PW","scienceBaseUri":"51751748e4b074c2b05564b0","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":472370,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044193,"text":"70044193 - 2012 - Dinocyst taphonomy, impact craters, cyst ghosts, and the Paleocene-Eocene thermal maximum (PETM)","interactions":[],"lastModifiedDate":"2013-04-25T11:29:32","indexId":"70044193","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3006,"text":"Palynology","active":true,"publicationSubtype":{"id":10}},"title":"Dinocyst taphonomy, impact craters, cyst ghosts, and the Paleocene-Eocene thermal maximum (PETM)","docAbstract":"Dinocysts recovered from sediments related to the Chesapeake Bay impact structure in Virginia and the earliest Eocene suboxic environment in Maryland show strange and intriguing details of preservation. Features such as curled processes, opaque debris, breakage, microborings and cyst ghosts, among others, invite speculation about catastrophic depositional processes, rapid burial and biological and chemical decay. Selected specimens from seven cores taken in the coastal plain of Virginia and Maryland show abnormal preservation features in various combinations that merit illustration, description, discussion and further study. Although the depositional environments described are extreme, many of the features discussed are known from, or could be found in, other environments. These environments will show both similarities to and differences from the extreme environments here.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Palynology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/01916122.2012.679205","usgsCitation":"Edwards, L.E., 2012, Dinocyst taphonomy, impact craters, cyst ghosts, and the Paleocene-Eocene thermal maximum (PETM): Palynology, v. 36, no. 1, p. 80-95, https://doi.org/10.1080/01916122.2012.679205.","productDescription":"16 p.","startPage":"80","endPage":"95","ipdsId":"IP-032726","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271459,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01916122.2012.679205"}],"country":"United States","state":"Maryl;Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.4633,36.9078 ], [ -76.4633,37.9656 ], [ -75.6353,37.9656 ], [ -75.6353,36.9078 ], [ -76.4633,36.9078 ] ] ] } } ] }","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5068e4b072c16ef14b12","contributors":{"authors":[{"text":"Edwards, Lucy E. 0000-0003-4075-3317 leedward@usgs.gov","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":2647,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","email":"leedward@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475082,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044191,"text":"70044191 - 2012 - Antarctic and Southern Ocean influences on Late Pliocene global cooling","interactions":[],"lastModifiedDate":"2013-04-08T22:04:09","indexId":"70044191","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Antarctic and Southern Ocean influences on Late Pliocene global cooling","docAbstract":"The influence of Antarctica and the Southern Ocean on Late Pliocene global climate reconstructions has remained ambiguous due to a lack of well-dated Antarctic-proximal, paleoenvironmental records. Here we present ice sheet, sea-surface temperature, and sea ice reconstructions from the ANDRILL AND-1B sediment core recovered from beneath the Ross Ice Shelf. We provide evidence for a major expansion of an ice sheet in the Ross Sea that began at ~3.3 Ma, followed by a coastal sea surface temperature cooling of ~2.5 °C, a stepwise expansion of sea ice, and polynya-style deep mixing in the Ross Sea between 3.3 and 2.5 Ma. The intensification of Antarctic cooling resulted in strengthened westerly winds and invigorated ocean circulation. The associated northward migration of Southern Ocean fronts has been linked with reduced Atlantic Meridional Overturning Circulation by restricting surface water connectivity between the ocean basins, with implications for heat transport to the high latitudes of the North Atlantic. While our results do not exclude low-latitude mechanisms as drivers for Pliocene cooling, they indicate an additional role played by southern high-latitude cooling during development of the bipolar world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PNAS","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"National Academy of Sciences","publisherLocation":"Washington, D.C.","doi":"10.1073/pnas.1112248109","usgsCitation":"McKay, R., Naish, T., Carter, L., Riesselman, C., Dunbar, R., Sjunneskog, C., Winter, D., Sangiorgi, F., Warren, C., Pagani, M., Schouten, S., Willmott, V., Levy, R., DeConto, R., and Powell, R.D., 2012, Antarctic and Southern Ocean influences on Late Pliocene global cooling: PNAS, v. 109, no. 17, p. 6423-6428, https://doi.org/10.1073/pnas.1112248109.","productDescription":"6 p.","startPage":"6423","endPage":"6428","ipdsId":"IP-032213","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":474135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://europepmc.org/articles/pmc3340021","text":"External Repository"},{"id":270678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270677,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1073/pnas.1112248109"}],"volume":"109","issue":"17","noUsgsAuthors":false,"publicationDate":"2012-04-11","publicationStatus":"PW","scienceBaseUri":"5163e6e8e4b0b7010f820168","contributors":{"authors":[{"text":"McKay, Robert","contributorId":9546,"corporation":false,"usgs":true,"family":"McKay","given":"Robert","affiliations":[],"preferred":false,"id":475060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naish, Tim","contributorId":62900,"corporation":false,"usgs":true,"family":"Naish","given":"Tim","email":"","affiliations":[],"preferred":false,"id":475066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Lionel","contributorId":9937,"corporation":false,"usgs":true,"family":"Carter","given":"Lionel","affiliations":[],"preferred":false,"id":475061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riesselman, Christina 0000-0002-2436-4306 criesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-2436-4306","contributorId":4290,"corporation":false,"usgs":true,"family":"Riesselman","given":"Christina","email":"criesselman@usgs.gov","affiliations":[],"preferred":true,"id":475059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunbar, 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Courtney","contributorId":27334,"corporation":false,"usgs":true,"family":"Warren","given":"Courtney","email":"","affiliations":[],"preferred":false,"id":475064,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pagani, Mark","contributorId":92136,"corporation":false,"usgs":true,"family":"Pagani","given":"Mark","email":"","affiliations":[],"preferred":false,"id":475070,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schouten, Stefan","contributorId":84888,"corporation":false,"usgs":true,"family":"Schouten","given":"Stefan","affiliations":[],"preferred":false,"id":475068,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Willmott, Veronica","contributorId":58533,"corporation":false,"usgs":true,"family":"Willmott","given":"Veronica","email":"","affiliations":[],"preferred":false,"id":475065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Levy, Richard","contributorId":96980,"corporation":false,"usgs":true,"family":"Levy","given":"Richard","email":"","affiliations":[],"preferred":false,"id":475071,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"DeConto, Robert","contributorId":17893,"corporation":false,"usgs":true,"family":"DeConto","given":"Robert","email":"","affiliations":[],"preferred":false,"id":475063,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Powell, Ross D.","contributorId":89768,"corporation":false,"usgs":true,"family":"Powell","given":"Ross","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475069,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70044201,"text":"70044201 - 2012 - A major light rare-earth element (LREE) resource in the Khanneshin carbonatite complex, southern Afghanistan","interactions":[],"lastModifiedDate":"2013-04-04T11:29:46","indexId":"70044201","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"A major light rare-earth element (LREE) resource in the Khanneshin carbonatite complex, southern Afghanistan","docAbstract":"The rapid rise in world demand for the rare-earth elements (REEs) has expanded the search for new REE resources. We document two types of light rare-earth element (LREE)-enriched rocks in the Khanneshin carbonatite complex of southern Afghanistan: type 1 concordant seams of khanneshite-(Ce), synchysite-(Ce), and parisite-(Ce) within banded barite-strontianite alvikite, and type 2 igneous dikes of coarse-grained carbonatite, enriched in fluorine or phosphorus, containing idiomorphic crystals of khanneshite-(Ce) or carbocernaite. Type 1 mineralized barite-strontianite alvikite averages 22.25 wt % BaO, 4.27 wt % SrO, and 3.25 wt % ∑ LREE<sub>2</sub>O<sub>3</sub> (sum of La, Ce, Pr, and Nd oxides). Type 2 igneous dikes average 14.51 wt % BaO, 5.96 wt % SrO, and 3.77 wt % ∑ LREE<sub>2</sub>O<sub>3</sub>. A magmatic origin is clearly indicated for the type 2 LREE-enriched dikes, and type 1 LREE mineralization probably formed in the presence of LREE-rich hydrothermal fluid. Both types of LREE mineralization may be penecontemporaneous, having formed in a carbonate-rich magma in the marginal zone of the central vent, highly charged with volatile constituents (i.e., CO<sub>2</sub>, F, P<sub>2</sub>O<sub>5</sub>), and strongly enriched in Ba, Sr, and the LREE. Based on several assumptions, and employing simple geometry for the zone of LREE enrichment, we estimate that at least 1.29 Mt (million metric tonnes) of LREE2O3 is present in this part of the Khanneshin carbonatite complex.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Economic Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.2.197","usgsCitation":"Tucker, R.D., Belkin, H.E., Schulz, K.J., Peters, S., Horton, F., Buttleman, K., and Scott, E.R., 2012, A major light rare-earth element (LREE) resource in the Khanneshin carbonatite complex, southern Afghanistan: Economic Geology, v. 107, no. 2, p. 197-208, https://doi.org/10.2113/econgeo.107.2.197.","productDescription":"12 p.","startPage":"197","endPage":"208","ipdsId":"IP-034879","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270565,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/econgeo.107.2.197"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 60.52,29.38 ], [ 60.52,38.49 ], [ 74.89,38.49 ], [ 74.89,29.38 ], [ 60.52,29.38 ] ] ] } } ] }","volume":"107","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-15","publicationStatus":"PW","scienceBaseUri":"515ea0e4e4b088aa22580942","contributors":{"authors":[{"text":"Tucker, Robert D. 0000-0001-8463-4358 rtucker@usgs.gov","orcid":"https://orcid.org/0000-0001-8463-4358","contributorId":2007,"corporation":false,"usgs":true,"family":"Tucker","given":"Robert","email":"rtucker@usgs.gov","middleInitial":"D.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":475090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475091,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Stephen G. speters@usgs.gov","contributorId":2793,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen G.","email":"speters@usgs.gov","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":475092,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horton, Forrest","contributorId":17110,"corporation":false,"usgs":true,"family":"Horton","given":"Forrest","affiliations":[],"preferred":false,"id":475093,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buttleman, Kim","contributorId":68619,"corporation":false,"usgs":true,"family":"Buttleman","given":"Kim","email":"","affiliations":[],"preferred":false,"id":475095,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scott, Emily R.","contributorId":68188,"corporation":false,"usgs":true,"family":"Scott","given":"Emily","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475094,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044181,"text":"70044181 - 2012 - Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","interactions":[],"lastModifiedDate":"2013-06-18T15:26:00","indexId":"70044181","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","docAbstract":"To determine kinetic parameters of sulfate reduction by hydrocarbons (HC) without the initial presence of low valence sulfur, we carried out a series of isothermal gold-tube hydrous-pyrolysis experiments at 320, 340, and 360 °C under a constant confined pressure of 24.1 MPa. The reactants used consisted of saturated HC (sulfur-free) and CaSO<sub>4</sub> in an aqueous solution buffered to three different pH conditions without the addition of elemental sulfur (S<sub>8</sub>) or H<sub>2</sub>S as initiators. H<sub>2</sub>S produced in the course of reaction was proportional to the extent of the reduction of CaSO<sub>4</sub> that was initially the only sulfur-containing reactant. Our results show that the in situ pH of the aqueous solution (herein, in situ pH refers to the calculated pH value of the aqueous solution at certain experimental conditions) can significantly affect the rate of the thermochemical sulfate reduction (TSR) reaction. A substantial increase in the TSR reaction rate was observed with a decrease in the in situ pH.\n\nOur experimental results show that uncatalyzed TSR is a first-order reaction. The temperature dependence of experimentally measured H<sub>2</sub>S yields from sulfate reduction was fit with the Arrhenius equation. The determined activation energy for HC (sulfur-free) reacting with View the MathML sourceHSO<sub>4</sub><sup>−</sup> in our experiments is 246.6 kJ/mol at pH values ranging from 3.0 to 3.5, which is slightly higher than the theoretical value of 227.0 kJ/mol using ab initio quantum chemical calculations on a similar reaction. Although the availability of reactive sulfate significantly affects the rate of reaction, a consistent rate constant was determined by accounting for the HSO<sub>4</sub><sup>−</sup> ion concentration. Our experimental and theoretical approach to the determination of the kinetics of TSR is further validated by a reevaluation of several published experimental TSR datasets without the initial presence of native sulfur or H<sub>2</sub>S. When the effect of reactive sulfate concentration is appropriately accounted for, the published experimental TSR data yield kinetic parameters that are consistent with our values. Assuming MgSO<sub>4</sub> contact-ion-pair ([MgSO<sub>4</sub>]CIP) as the reactive form of sulfate in petroleum reservoir formation waters, a simple extrapolation of our experimentally derived HSO<sub>4</sub><sup>−</sup> reduction kinetics as a proxy for [MgSO<sub>4</sub>]CIP to geologically reasonable conditions predicts onset temperatures (130–140 °C) that are comparable to those observed in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.08.010","usgsCitation":"Zhang, T., Ellis, G.S., Ma, Q., Amrani, A., and Tang, Y., 2012, Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin: Geochimica et Cosmochimica Acta, v. 96, p. 1-17, https://doi.org/10.1016/j.gca.2012.08.010.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-033954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.08.010"}],"volume":"96","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18167e4b0dd0e00d921db","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":475034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Qisheng","contributorId":35219,"corporation":false,"usgs":true,"family":"Ma","given":"Qisheng","email":"","affiliations":[],"preferred":false,"id":475031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":475032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044180,"text":"70044180 - 2012 - Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques","interactions":[],"lastModifiedDate":"2013-06-12T13:49:42","indexId":"70044180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques","docAbstract":"Compound-specific carbon and hydrogen isotopic compositions of three natural gas round robins were calibrated by ten laboratories carrying out more than 800 measurements including both on-line and off-line methods. Two-point calibrations were performed with international measurement standards for hydrogen isotope ratios (VSMOW and SLAP) and carbon isotope ratios (NBS 19 and L-SVEC CO<sub>2</sub>). The consensus δ<sup>13</sup>C values and uncertainties were derived from the Maximum Likelihood Estimation (MLE) based on off-line measurements; the consensus δ<sup>2</sup>H values and uncertainties were derived from MLE of both off-line and on-line measurements, taking the bias of on-line measurements into account. The calibrated consensus values in ‰ relative to VSMOW and VPDB are:\n\n    NG1 (coal-related gas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 185.1‰ ± 1.2‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 34.18‰ ± 0.10‰\n\n        Ethane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 156.3‰ ± 1.8‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 24.66‰ ± 0.11‰\n\n        Propane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 143.6‰ ± 3.3‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 22.21‰ ± 0.11‰\n\n        i-Butane: δ<sup>13</sup>C<sub>VPDB</sub> = − 21.62‰ ± 0.12‰\n\n        n-Butane: δ<sup>13</sup>C<sub>VPDB</sub> = − 21.74‰ ± 0.13‰\n\n        CO2: δ<sup>13</sup>C<sub>VPDB</sub> = − 5.00‰ ± 0.12‰\n\n    NG2 (biogas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 237.0‰ ± 1.2‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 68.89‰ ± 0.12‰\n\n    NG3 (oil-related gas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 167.6‰ ± 1.0‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 43.61‰ ± 0.09‰\n\n        Ethane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 164.1‰ ± 2.4‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 40.24‰ ± 0.10‰\n\n        Propane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 138.4‰ ± 3.0‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 33.79‰ ± 0.09‰\n\nAll of the assigned values are traceable to the international carbon isotope standard of VPDB and hydrogen isotope standard of VSMOW.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2012.03.008","usgsCitation":"Dai, J., Xia, X., Li, Z., Coleman, D.D., Dias, R.F., Gao, L., Li, J., Deev, A., Li, J., Dessort, D., Duclerc, D., Li, L., Liu, J., Schloemer, S., Zhang, W., Ni, Y., Hu, G., Wang, X., and Tang, Y., 2012, Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques: Chemical Geology, v. 310-311, p. 49-55, https://doi.org/10.1016/j.chemgeo.2012.03.008.","productDescription":"7 p.","startPage":"49","endPage":"55","ipdsId":"IP-033612","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273645,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.03.008"}],"volume":"310-311","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b99867e4b07b9df6070f8a","contributors":{"authors":[{"text":"Dai, Jinxing","contributorId":19066,"corporation":false,"usgs":true,"family":"Dai","given":"Jinxing","email":"","affiliations":[],"preferred":false,"id":475014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, Xinyu","contributorId":54494,"corporation":false,"usgs":true,"family":"Xia","given":"Xinyu","email":"","affiliations":[],"preferred":false,"id":475016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Zhisheng","contributorId":62505,"corporation":false,"usgs":true,"family":"Li","given":"Zhisheng","email":"","affiliations":[],"preferred":false,"id":475018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, Dennis D.","contributorId":65750,"corporation":false,"usgs":true,"family":"Coleman","given":"Dennis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dias, Robert F. rfdias@usgs.gov","contributorId":3746,"corporation":false,"usgs":true,"family":"Dias","given":"Robert","email":"rfdias@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":475011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gao, Ling","contributorId":60522,"corporation":false,"usgs":true,"family":"Gao","given":"Ling","email":"","affiliations":[],"preferred":false,"id":475017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Jian","contributorId":89433,"corporation":false,"usgs":true,"family":"Li","given":"Jian","email":"","affiliations":[],"preferred":false,"id":475024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Deev, Andrei","contributorId":17124,"corporation":false,"usgs":true,"family":"Deev","given":"Andrei","email":"","affiliations":[],"preferred":false,"id":475013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Jin","contributorId":105203,"corporation":false,"usgs":true,"family":"Li","given":"Jin","email":"","affiliations":[],"preferred":false,"id":475028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dessort, Daniel","contributorId":92152,"corporation":false,"usgs":true,"family":"Dessort","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":475025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duclerc, Dominique","contributorId":69448,"corporation":false,"usgs":true,"family":"Duclerc","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":475022,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Li, Liwu","contributorId":96572,"corporation":false,"usgs":true,"family":"Li","given":"Liwu","email":"","affiliations":[],"preferred":false,"id":475026,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Jinzhong","contributorId":66155,"corporation":false,"usgs":true,"family":"Liu","given":"Jinzhong","email":"","affiliations":[],"preferred":false,"id":475021,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schloemer, Stefan","contributorId":62506,"corporation":false,"usgs":true,"family":"Schloemer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":475019,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhang, Wenlong","contributorId":88250,"corporation":false,"usgs":true,"family":"Zhang","given":"Wenlong","email":"","affiliations":[],"preferred":false,"id":475023,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ni, Yunyan","contributorId":35628,"corporation":false,"usgs":true,"family":"Ni","given":"Yunyan","email":"","affiliations":[],"preferred":false,"id":475015,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hu, Guoyi","contributorId":105997,"corporation":false,"usgs":true,"family":"Hu","given":"Guoyi","affiliations":[],"preferred":false,"id":475029,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wang, Xiaobo","contributorId":15917,"corporation":false,"usgs":true,"family":"Wang","given":"Xiaobo","email":"","affiliations":[],"preferred":false,"id":475012,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475027,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70044811,"text":"70044811 - 2012 - Mineral resource of the month: aluminum","interactions":[],"lastModifiedDate":"2013-05-08T17:08:15","indexId":"70044811","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: aluminum","docAbstract":"The article offers information on aluminum, a mineral resource which is described as the third-most abundant element in Earth's crust. According to the article, aluminum is the second-most used metal. Hans Christian Oersted, a Danish chemist, was the first to isolate aluminum in the laboratory. Aluminum is described as lightweight, corrosion-resistant and an excellent conductor of electricity and heat.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Bray, E.L., 2012, Mineral resource of the month: aluminum: Earth, v. 57, no. 7, p. 25-25.","productDescription":"1 p.","startPage":"25","endPage":"25","ipdsId":"IP-037125","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73e6e4b0037667dbc806","contributors":{"authors":[{"text":"Bray, E. Lee lbray@usgs.gov","contributorId":39903,"corporation":false,"usgs":true,"family":"Bray","given":"E.","email":"lbray@usgs.gov","middleInitial":"Lee","affiliations":[],"preferred":false,"id":476354,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}