{"pageNumber":"524","pageRowStart":"13075","pageSize":"25","recordCount":69037,"records":[{"id":70199014,"text":"70199014 - 2015 - A summary of the late Cenozoic stratigraphic and tectonic history of the Santa Clara Valley, California","interactions":[],"lastModifiedDate":"2018-11-14T08:34:26","indexId":"70199014","displayToPublicDate":"2015-01-01T09:40:36","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"A summary of the late Cenozoic stratigraphic and tectonic history of the Santa Clara Valley, California","docAbstract":"<p><span>The late Cenozoic stratigraphic and tectonic history of the Santa Clara Valley illustrates the dynamic nature of the North American–Pacific plate boundary and its effect on basin and landscape development. Prior to early Miocene time, the area that became Santa Clara Valley consisted of eroding Franciscan complex basement structurally interleaved in places with Coast Range ophiolite and Mesozoic Great Valley sequence, and locally overlapped by Paleogene strata. During early to middle Miocene time, this landscape was flooded by the sea and was deformed locally into deeper depressions such as the Cupertino Basin in the southwestern part of the valley. Marine deposition during the middle and late Miocene laid down thin deposits in shallow water and thick deeper-water deposits in the Cupertino Basin. During this sedimentation, the San Andreas fault system encroached into the valley, with most offset partitioned onto the San Andreas fault southwest of the valley and the southern Calaveras–Silver Creek–Hayward fault system in the northeastern part of the valley. A 6-km-wide right step between the Hayward and Silver Creek faults formed the 40-km-long Evergreen pull-apart basin along the northeastern margin of the valley, leaving a basement ridge between it and the Cupertino Basin. The Silver Creek fault was largely abandoned ca. 2.5 Ma in favor of a compressional left step between the Calaveras and Hayward fault, although some slip continued to at least mid-Quaternary time. Gravity, seismic, stratigraphic, and interferometric synthetic aperture radar (InSAR) data indicate no other major San Andreas system faults within the central block between the present-day range-front faults bounding the valley and the Silver Creek fault. Sometime between 9 and 4 Ma (9 and 1 Ma for the central block), the area rose above sea level, and a regional surface of erosion was carved into the Mesozoic and Tertiary rocks. Alluvial gravels were deposited on this surface along the margins of the valley beginning ca. 4 Ma, but they may not have prograded onto the central block until ca. 1 Ma, because no older equivalents of the Pliocene–Quaternary Santa Clara gravels have been found there. Thus, either the central block was high enough relative to the surrounding areas that Santa Clara gravels were never deposited on it, or any Santa Clara gravels deposited there were stripped away before ca. 1 Ma. Analysis of alluvium on the central block implies a remarkably uniform, piston-like, subsidence of the valley of ∼0.4 mm/yr since ca. 0.8 Ma, possibly extending north to northern San Francisco Bay. Today, the central block continues to subside, the range-front reverse faults are active, and the major active faults of the San Andreas system are mostly outside the valley.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01093.1","usgsCitation":"Langenheim, V., Jachens, R.C., Wentworth, C.M., Graymer, R.W., Stanley, R.G., McLaughlin, R.J., Simpson, R.W., Williams, R.A., Andersen, D.W., and Ponce, D.A., 2015, A summary of the late Cenozoic stratigraphic and tectonic history of the Santa Clara Valley, California: Geosphere, v. 11, no. 1, p. 50-62, https://doi.org/10.1130/GES01093.1.","productDescription":"13 p.","startPage":"50","endPage":"62","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":472385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01093.1","text":"Publisher Index Page"},{"id":356903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.56484985351561,\n              37.01571219880126\n            ],\n            [\n              -121.5,\n              37.01571219880126\n            ],\n            [\n              -121.5,\n              37.75877280300828\n            ],\n            [\n              -122.56484985351561,\n              37.75877280300828\n            ],\n            [\n              -122.56484985351561,\n              37.01571219880126\n            ]\n          ]\n        ]\n      }\n    }\n  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Center","active":true,"usgs":true}],"preferred":true,"id":743767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentworth, Carl M. 0000-0003-2569-569X cwent@usgs.gov","orcid":"https://orcid.org/0000-0003-2569-569X","contributorId":1178,"corporation":false,"usgs":true,"family":"Wentworth","given":"Carl","email":"cwent@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graymer, Russell W. 0000-0003-4910-5682 rgraymer@usgs.gov","orcid":"https://orcid.org/0000-0003-4910-5682","contributorId":1052,"corporation":false,"usgs":true,"family":"Graymer","given":"Russell","email":"rgraymer@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288 rjmcl@usgs.gov","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":1428,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert","email":"rjmcl@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":743772,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, Robert A. rawilliams@usgs.gov","contributorId":140192,"corporation":false,"usgs":true,"family":"Williams","given":"Robert","email":"rawilliams@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":743773,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andersen, D. W.","contributorId":173257,"corporation":false,"usgs":false,"family":"Andersen","given":"D.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":743774,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":743775,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70148112,"text":"70148112 - 2015 - Evaluating the use of side-scan sonar for detecting freshwater mussel beds in turbid river environments","interactions":[],"lastModifiedDate":"2015-06-02T11:54:46","indexId":"70148112","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the use of side-scan sonar for detecting freshwater mussel beds in turbid river environments","docAbstract":"<p><span>Side-scan sonar is a valuable tool for mapping habitat features in many aquatic systems suggesting it may also be useful for locating sedentary biota. The objective of this study was to determine if side-scan sonar could be used to identify freshwater mussel (unionid) beds and the required environmental conditions. We used side-scan sonar to develop a series of mussel-bed reference images by placing mussel shells within homogenous areas of fine and coarse substrates. We then used side-scan sonar to map a 32-km river reach during spring and summer. Using our mussel-bed reference images, several river locations were identified where mussel beds appeared to exist in the scanned images and we chose a subset of sites (</span><i class=\"EmphasisTypeItalic\">n</i><span>&nbsp;=&nbsp;17) for field validation. The validation confirmed that ~60% of the sites had mussel beds and ~80% had some mussels or shells present. Water depth was significantly related to our ability to predict mussel-bed locations: predictive ability was greatest at depths of 1&ndash;2&nbsp;m, but decreased in water &gt;2-m deep. We determined side-scan sonar is an effective tool for preliminary assessments of mussel presence during times when they are located at or above the substrate surface and in relatively fine substrates excluding fine silt.</span></p>","language":"English","publisher":"Springer International Publishing","doi":"10.1007/s10750-014-2017-z","usgsCitation":"Powers, J., Brewer, S.K., Long, J.M., and Campbell, T., 2015, Evaluating the use of side-scan sonar for detecting freshwater mussel beds in turbid river environments: Hydrobiologia, v. 743, no. 1, p. 127-137, https://doi.org/10.1007/s10750-014-2017-z.","productDescription":"11 p.","startPage":"127","endPage":"137","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056672","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":548071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Thomas","contributorId":141042,"corporation":false,"usgs":false,"family":"Campbell","given":"Thomas","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":548072,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70144313,"text":"70144313 - 2015 - Do laboratory species protect endangered species? Interspecies variation in responses to 17β-estradiol, a model endocrine active compound","interactions":[],"lastModifiedDate":"2015-03-27T09:51:14","indexId":"70144313","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Do laboratory species protect endangered species? Interspecies variation in responses to 17β-estradiol, a model endocrine active compound","docAbstract":"<p><span>Although the effects of estrogens on model laboratory species are well documented, their utility as surrogates for other species, including those listed as endangered, are less clear. Traditionally, conservation policies are evaluated based on model organism responses but are intended to protect all species in an environment. We tested the hypothesis that the endangered Rio Grande silvery minnow (</span><i class=\"a-plus-plus\">Hybognathus amarus</i><span>) is more vulnerable to endocrine disruption&mdash;as assessed through its larval predator-escape performance, survival, juvenile sex ratios, and whole-body vitellogenin concentration&mdash;than the commonly used toxicological model species fathead minnow (</span><i class=\"a-plus-plus\">Pimephales promelas</i><span>) and the bluegill sunfish (</span><i class=\"a-plus-plus\">Lepomis macrochirus</i><span>). Fish were exposed concurrently for 21&nbsp;days to the model endocrine active compound (EAC) 17&szlig;-estradiol (E2) at 10&nbsp;ng E2/L and 30&nbsp;ng E2/L in a flow-through system using reconstituted water that simulated the physicochemical conditions of the Middle Rio Grande in New Mexico, USA. No significant differences were observed between the fathead and silvery minnow in larval predator-escape response or juvenile sex ratio. Rio Grande silvery minnow survival decreased significantly at day 14 compared with the other two species; by day 21, both cyprinid species (silvery minnow and fathead minnow) exhibited a significant decrease in survival compared with bluegill sunfish, a member of the family Centrarchidae. Male Rio Grande silvery minnow showed a significant increase in whole-body vitellogenin concentration in the 10&nbsp;ng/L treatment, whereas fathead minnow and bluegill sunfish showed no significant increases in vitellogenin concentrations across treatments. Our study showed response differences to estrogen exposures between the two cyprinid species and further divergence in responses between the families Cyprinidae and Centrarchidae. These results suggest that commonly used laboratory model organisms may be less sensitive to EACs than the endangered Rio Grande silvery minnow. However, this study supports the continued use of surrogate species for the beneficial implementation of water-quality regulations for the protection of threatened and endangered species if phylogenetic relationships are taken into consideration.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00244-014-0076-9","usgsCitation":"Jorgenson, Z.G., Buhl, K.J., Bartell, S.E., and Schoenfuss, H.L., 2015, Do laboratory species protect endangered species? Interspecies variation in responses to 17β-estradiol, a model endocrine active compound: Archives of Environmental Contamination and Toxicology, v. 68, no. 1, p. 204-215, https://doi.org/10.1007/s00244-014-0076-9.","productDescription":"12 p.","startPage":"204","endPage":"215","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-036306","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":299020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"68","issue":"1","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-08-28","publicationStatus":"PW","scienceBaseUri":"55167f2ee4b0323842781af9","contributors":{"authors":[{"text":"Jorgenson, Zachary G.","contributorId":69476,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Zachary","email":"","middleInitial":"G.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":543480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhl, Kevin J. 0000-0002-9963-2352 kevin_buhl@usgs.gov","orcid":"https://orcid.org/0000-0002-9963-2352","contributorId":1396,"corporation":false,"usgs":true,"family":"Buhl","given":"Kevin","email":"kevin_buhl@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":543478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartell, Stephen E.","contributorId":54445,"corporation":false,"usgs":false,"family":"Bartell","given":"Stephen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":543479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoenfuss, Heiko L.","contributorId":76409,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko","email":"","middleInitial":"L.","affiliations":[{"id":13317,"text":"Saint Cloud State University","active":true,"usgs":false}],"preferred":false,"id":543481,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148542,"text":"70148542 - 2015 - Towards sustainable management of huntable migratory waterbirds in Europe","interactions":[],"lastModifiedDate":"2016-12-14T14:29:37","indexId":"70148542","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Towards sustainable management of huntable migratory waterbirds in Europe","docAbstract":"<p>The EU Birds Directive and the African-Eurasian Waterbird Agreement provide an adequate legal framework for sustainable management of migratory waterbird populations. The main shortcoming of both instruments is that it leaves harvest decisions of a shared resource to individual Member States and Contracting Parties without providing a shared information base and mechanism to assess the impact of harvest and coordinate actions in relation to mutually agreed objectives. </p><p>A recent update of the conservation status of waterbirds in the EU shows that almost half of the populations of species listed on Annex II of the Birds Directive have a declining short-term trend and over half of them are listed in Columns A and B of AEWA. This implies that their hunting could either only continue under the framework of an adaptive harvest management plan or their hunting should be regulated with the view of restoring them in favourable conservation status. </p><p>We argue that a structured approach to decision-making (such as adaptive management) is needed, supported with adequate organisational structures at flyway scale. We review the experience with such an approach in North America and assess the applicability of a similar approach in the European context. We show there is no technical reason why adaptive harvest management could be not applied in the EU or even AEWA context. </p><p>We demonstrate that an informed approach to setting allowable harvests does not require detailed demographic information. Essential to the process, however, are estimates of either the observed growth rate from a monitoring program or the growth rate expected under ideal conditions. In addition, periodic estimates of population size are needed, as well as either empirical information or reasonable assumptions about the form of density dependence. We show that such information exists for many populations, but improvements are needed to improve geographic coverage, reliability and timely data availability. </p><p>We highlight the importance of the International Waterbird Census and specialised goose and seaduck monitoring in estimating population sizes and observed growth rate of the populations. We encourage further investments into the development of these schemes. We also recognise the importance of migration studies to improve our understanding of delineations of populations. We also highlight that, with a few exceptions, the available data does not allow the European Commission, competent authorities of the Members States or other AEWA Contracting Parties to assess levels of harvest and their sustainability and, therefore, regulate hunting accordingly. Therefore, we recommend that annual reporting on 2 harvest levels of waterbird populations would be gradually introduced in the EU and the AEWA region. We propose that future AEWA and EU action plans and management plans for Annex II species should apply the principles of adaptive harvest management framework and make provisions for setting up adequate monitoring and information management systems and organisational structures to manage the decision-making process. We suggest that internationally coordinated management structures are established to facilitate dialogue, learning and communication between stakeholders with different interests and cultural backgrounds.</p>","language":"English","publisher":"Wetlands International","usgsCitation":"Madsen, J., Guillemain, M., Nagy, S., Defos du Rau, P., Mondain-Monval, J., Griffin, C., Williams, J.H., Bunnefeld, N., Czajkowski, A., Hearn, R., Grauer, A., Alhainen, M., Middleton, A., and Johnson, F.A., 2015, Towards sustainable management of huntable migratory waterbirds in Europe, 44 p.","productDescription":"44 p.","startPage":"1","endPage":"43","ipdsId":"IP-062697","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":332137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":301146,"type":{"id":15,"text":"Index Page"},"url":"https://europe.wetlands.org/publications/towards-sustainable-management-of-huntable-migratory-waterbirds-in-europe/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585268e4e4b0e2663625ec94","contributors":{"authors":[{"text":"Madsen, Jesper","contributorId":9950,"corporation":false,"usgs":true,"family":"Madsen","given":"Jesper","affiliations":[],"preferred":false,"id":548523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guillemain, Matthieu","contributorId":141131,"corporation":false,"usgs":false,"family":"Guillemain","given":"Matthieu","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":548525,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nagy, Szabolcs","contributorId":141130,"corporation":false,"usgs":false,"family":"Nagy","given":"Szabolcs","email":"","affiliations":[{"id":13682,"text":"Wetlands International","active":true,"usgs":false}],"preferred":false,"id":548524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Defos du Rau, Pierre","contributorId":141132,"corporation":false,"usgs":false,"family":"Defos du Rau","given":"Pierre","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":548526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mondain-Monval, Jean-Yves","contributorId":141133,"corporation":false,"usgs":false,"family":"Mondain-Monval","given":"Jean-Yves","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":548527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Griffin, Cy","contributorId":141134,"corporation":false,"usgs":false,"family":"Griffin","given":"Cy","email":"","affiliations":[{"id":13684,"text":"The Federation of Associations for Hunting and Conservation (FACE)","active":true,"usgs":false}],"preferred":false,"id":548528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williams, James Henty","contributorId":141135,"corporation":false,"usgs":false,"family":"Williams","given":"James","email":"","middleInitial":"Henty","affiliations":[{"id":13685,"text":"Aarhus University, Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":548529,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bunnefeld, Nils","contributorId":141136,"corporation":false,"usgs":false,"family":"Bunnefeld","given":"Nils","email":"","affiliations":[{"id":13686,"text":"Biological and Environmental Sciences, University of Stirling","active":true,"usgs":false}],"preferred":false,"id":548530,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Czajkowski, Alexandre","contributorId":141137,"corporation":false,"usgs":false,"family":"Czajkowski","given":"Alexandre","email":"","affiliations":[{"id":13687,"text":"European Institute for Migratory Birds of the Western Palearctic (OMPO)","active":true,"usgs":false}],"preferred":false,"id":548531,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hearn, Richard","contributorId":141138,"corporation":false,"usgs":false,"family":"Hearn","given":"Richard","email":"","affiliations":[{"id":13688,"text":"Wildfowl and Wetland Trust (WWT)","active":true,"usgs":false}],"preferred":false,"id":548532,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grauer, Andreas","contributorId":141139,"corporation":false,"usgs":false,"family":"Grauer","given":"Andreas","email":"","affiliations":[{"id":13689,"text":"Technische Universitat Munchen","active":true,"usgs":false}],"preferred":false,"id":548533,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Alhainen, Mikko","contributorId":141140,"corporation":false,"usgs":false,"family":"Alhainen","given":"Mikko","email":"","affiliations":[{"id":13690,"text":"Finnish Wildlife Agency","active":true,"usgs":false}],"preferred":false,"id":548534,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Middleton, Angus","contributorId":141141,"corporation":false,"usgs":false,"family":"Middleton","given":"Angus","email":"","affiliations":[{"id":13691,"text":"Namibia Nature Foundation","active":true,"usgs":false}],"preferred":false,"id":548535,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Johnson, Fred A. 0000-0002-5854-3695 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,{"id":70159319,"text":"70159319 - 2015 - Strontium isotopes in otoliths of a non-migratory fish (slimy sculpin): Implications for provenance studies","interactions":[],"lastModifiedDate":"2015-10-22T10:16:24","indexId":"70159319","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Strontium isotopes in otoliths of a non-migratory fish (slimy sculpin): Implications for provenance studies","docAbstract":"<p>Heterogeneity in 87Sr/86Sr ratios of river-dissolved strontium (Sr) across geologically diverse environments provides a useful tool for investigating provenance, connectivity and movement patterns of various organisms and materials. Evaluation of site-specific 87Sr/86Sr temporal variability throughout study regions is a prerequisite for provenance research, but the dynamics driving temporal variability are generally system-dependent and not accurately predictable. We used the time-keeping properties of otoliths from non-migratory slimy sculpin (Cottus cognatus) to evaluate multi-scale 87Sr/86Sr temporal variability of river waters throughout the Nushagak River, a large (34,700 km2) remote watershed in Alaska, USA. Slimy sculpin otoliths incorporated site-specific temporal variation at sub-annual resolution and were able to record on the order of 0.0001 changes in the 87Sr/86Sr ratio. 87Sr/86Sr profiles of slimy sculpin collected in tributaries and main-stem channels of the upper watershed indicated that these regions were temporally stable, whereas the Lower Nushagak River exhibited some spatio-teporal variability. This study illustrates how the behavioral ecology of a non-migratory organism can be used to evaluate sub-annual 87Sr/86Sr temporal variability and has broad implications for provenance studies employing this tracer.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2014.10.032","usgsCitation":"Brennan, S.R., Fernandez, D.P., Zimmerman, C.E., Cerling, T.E., Brown, R.J., and Wooller, M., 2015, Strontium isotopes in otoliths of a non-migratory fish (slimy sculpin): Implications for provenance studies: Geochimica et Cosmochimica Acta, v. 149, p. 32-45, https://doi.org/10.1016/j.gca.2014.10.032.","productDescription":"14 p.","startPage":"32","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056102","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":310365,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70191648,"text":"70191648 - 2015 - Shortnose sturgeon in the Gulf of Maine: Use of spawning habitat in the Kennebec System and response to dam removal","interactions":[],"lastModifiedDate":"2017-10-17T15:42:35","indexId":"70191648","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Shortnose sturgeon in the Gulf of Maine: Use of spawning habitat in the Kennebec System and response to dam removal","docAbstract":"<p><span>Evidence has become available in this century indicating that populations of the endangered Shortnose Sturgeon&nbsp;</span><i>Acipenser brevirostrum</i><span><span>&nbsp;</span>migrate outside their natal river systems, but the full extent and functional basis of these migrations are not well understood. Between 2007 and 2013, 40 Shortnose Sturgeon captured and tagged in four Gulf of Maine river systems migrated long distances in coastal waters to reach the Kennebec System where their movements were logged by an acoustic receiver array. Twenty-one (20%) of 104 Shortnose Sturgeon tagged in the Penobscot River, two (50%) of four tagged in the Kennebec System, one (50%) of two tagged in the Saco River, and 16 (37%) of 43 tagged in the Merrimack River moved to a previously identified spawning site or historical spawning habitat in the Kennebec System in spring. Most (65%) moved in early spring from the tagging location directly to a spawning site in the Kennebec System, whereas the rest moved primarily in the fall from the tagging location to a wintering site in that system and moved to a spawning site the following spring. Spawning was inferred from the location, behavior, and sexual status of the fish and from season, water temperature, and discharge, and was confirmed by the capture of larvae in some years. Tagged fish went to a known spawning area in the upper Kennebec Estuary (16 events) or the Androscoggin Estuary (14 events), an historical spawning habitat in the restored Kennebec River (8 events), or two spawning areas in a single year (7 events). We have provided the first evidence indicating that Shortnose Sturgeon spawn in the restored Kennebec River in an historical habitat that became accessible in 1999 when Edwards Dam was removed, 162&nbsp;years after it was constructed. These results highlight the importance of the Kennebec System to Shortnose Sturgeon throughout the Gulf of Maine.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1037931","usgsCitation":"Wippelhauser, G.S., Zydlewski, G.B., Kieffer, M., Sulikowski, J., and Kinnison, M.T., 2015, Shortnose sturgeon in the Gulf of Maine: Use of spawning habitat in the Kennebec System and response to dam removal: Transactions of the American Fisheries Society, v. 144, no. 4, p. 742-752, https://doi.org/10.1080/00028487.2015.1037931.","productDescription":"11 p.","startPage":"742","endPage":"752","ipdsId":"IP-058271","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":346733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.93896484375,\n              43.69369383336777\n            ],\n            [\n              -69.554443359375,\n              43.69369383336777\n            ],\n            [\n              -69.554443359375,\n              44.62761851676016\n            ],\n            [\n              -69.93896484375,\n              44.62761851676016\n            ],\n            [\n              -69.93896484375,\n              43.69369383336777\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"144","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-15","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d2","contributors":{"authors":[{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":712964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":712965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sulikowski, James","contributorId":197218,"corporation":false,"usgs":false,"family":"Sulikowski","given":"James","email":"","affiliations":[],"preferred":false,"id":712966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":712967,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194129,"text":"70194129 - 2015 - PESTools – A Python toolkit for processing PEST-related information","interactions":[],"lastModifiedDate":"2017-12-11T14:59:41","indexId":"70194129","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"PESTools – A Python toolkit for processing PEST-related information","docAbstract":"PESTools is an open-source Python package for processing and visualizing information associated with\nthe parameter estimation software PEST and PEST++. While PEST output can be reformatted for post-\nprocessing in spreadsheets or other menu-driven software packages, that approach can be error-prone\nand time-consuming. Managing information from highly parameterized models with thousands of\nparameters and observations presents additional challenges. PESTools consists of a set of Python object\nclasses to facilitate efficient processing and visualization of PEST-related information. Processing and\nvisualization of observation residuals, objective function contributions, parameter and observation\nsensitivities, parameter correlation and identifiability, and other common PEST outputs have been\nimplemented. PESTools is integrated with the pyemu software package for linear-based computer model\nuncertainty analyses, allowing for efficient computations using the Jacobian Matrix without any external\nutilities or files. The use of dataframe objects (pandas Python package) facilitates rapid subsetting and\nquerying of large datasets, as well as the incorporation of ancillary information such as observation\nlocations, times, measurement types, and other associated information. PESTools’ object methods can\nbe easily scripted with concise code, or alternatively, the use of IPython notebooks allows for live\ninteraction with the information. PESTools is designed to streamline workflows and provide deeper insight\ninto model behavior, enhance troubleshooting, and improve transparency in the calibration process.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"MODFLOW and More 2015 Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"MODFLOW and More 2015 Conference","usgsCitation":"Christianson, E., and Leaf, A.T., 2015, PESTools – A Python toolkit for processing PEST-related information, <i>in</i> MODFLOW and More 2015 Proceedings, p. 393-397.","productDescription":"5 p.","startPage":"393","endPage":"397","ipdsId":"IP-064863","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":348923,"type":{"id":15,"text":"Index Page"},"url":"https://nbviewer.jupyter.org/github/PESTools/pestools/blob/master/examples/MODFLOW%20and%20More%202015%20Paper.ipynb"},{"id":349919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60febde4b06e28e9c25345","contributors":{"authors":[{"text":"Christianson, Evan","contributorId":200427,"corporation":false,"usgs":false,"family":"Christianson","given":"Evan","email":"","affiliations":[],"preferred":false,"id":722279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leaf, Andrew T. 0000-0001-8784-4924 aleaf@usgs.gov","orcid":"https://orcid.org/0000-0001-8784-4924","contributorId":5156,"corporation":false,"usgs":true,"family":"Leaf","given":"Andrew","email":"aleaf@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":722278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70142503,"text":"70142503 - 2015 - Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables","interactions":[],"lastModifiedDate":"2017-01-18T10:08:49","indexId":"70142503","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables","docAbstract":"<p><span>Switchgrass is being evaluated as a potential feedstock source for cellulosic biofuels and is being cultivated in several regions of the United States. The recent availability of switchgrass land cover maps derived from the National Agricultural Statistics Service cropland data layer for the conterminous United States provides an opportunity to assess the environmental conditions of switchgrass over large areas and across different geographic locations. The main goal of this study is to develop a data-driven multiple regression switchgrass productivity model and identify the optimal climate and environment conditions for the highly productive switchgrass in the Great Plains (GP). Environmental and climate variables used in the study include elevation, soil organic carbon, available water capacity, climate, and seasonal weather. Satellite-derived growing season averaged Normalized Difference Vegetation Index (GSN) was used as a proxy for switchgrass productivity. Multiple regression analyses indicate that there are strong correlations between site environmental variables and switchgrass productivity (</span><i>r</i><span>&nbsp;=&nbsp;0.95). Sufficient precipitation and suitable temperature during the growing season (i.e., not too hot or too cold) are favorable for switchgrass growth. Elevation and soil characteristics (e.g., soil available water capacity) are also an important factor impacting switchgrass productivity. An anticipated switchgrass biomass productivity map for the entire GP based on site environmental and climate conditions and switchgrass productivity model was generated. Highly productive switchgrass areas are mainly located in the eastern part of the GP. Results from this study can help land managers and biofuel plant investors better understand the general environmental and climate conditions influencing switchgrass growth and make optimal land use decisions regarding switchgrass development in the GP.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2014.09.013","usgsCitation":"Gu, Y., Wylie, B.K., and Howard, D., 2015, Estimating switchgrass productivity in the Great Plains using satellite vegetation index and site environmental variables: Ecological Indicators, v. 48, p. 472-476, https://doi.org/10.1016/j.ecolind.2014.09.013.","productDescription":"5 p.","startPage":"472","endPage":"476","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046430","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":298318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Plains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.3564453125,\n              25.918526162075153\n            ],\n            [\n              -115.3564453125,\n              49.009050809382046\n            ],\n            [\n              -89.9560546875,\n              49.009050809382046\n            ],\n            [\n              -89.9560546875,\n              25.918526162075153\n            ],\n            [\n              -115.3564453125,\n              25.918526162075153\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54faddb9e4b02419550db6d2","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":541914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":541913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Daniel M. 0000-0002-7563-7538 dhoward@usgs.gov","orcid":"https://orcid.org/0000-0002-7563-7538","contributorId":4431,"corporation":false,"usgs":true,"family":"Howard","given":"Daniel M.","email":"dhoward@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":541912,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70146540,"text":"70146540 - 2015 - Understanding the signature of rock coatings in laser-induced breakdown spectroscopy data","interactions":[],"lastModifiedDate":"2015-04-17T14:53:16","indexId":"70146540","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the signature of rock coatings in laser-induced breakdown spectroscopy data","docAbstract":"<p><span>Surface compositional features on rocks such as coatings and weathering rinds provide important information about past aqueous environments and water&ndash;rock interactions. The search for these features represents an important aspect of the Curiosity rover mission. With its unique ability to do fine-scale chemical depth profiling, the ChemCam laser-induced breakdown spectroscopy instrument (LIBS) onboard Curiosity can be used to both identify and analyze rock surface alteration features. In this study we analyze a terrestrial manganese-rich rock varnish coating on a basalt rock in the laboratory with the ChemCam engineering model to determine the LIBS signature of a natural rock coating. Results show that there is a systematic decrease in peak heights for elements such as Mn that are abundant in the coating but not the rock. There is significant spatial variation in the relative abundance of coating elements detected by LIBS depending on where on the rock surface sampled; this is due to the variability in thickness and spatial discontinuities in the coating. Similar trends have been identified in some martian rock targets in ChemCam data, suggesting that these rocks may have coatings or weathering rinds on their surfaces.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2014.05.038","usgsCitation":"Lanza, N.L., Ollila, A.M., Cousin, A., Wiens, R.C., Clegg, S.M., Mangold, N., Bridges, N., Cooper, D., Schmidt, M.E., Berger, J., Arvidson, R.E., Melikechi, N., Newsom, H.E., Tokar, R., Hardgrove, C., Mezzacappa, A., Jackson, R.S., Clark, B., Forni, O., Maurice, S., Nachon, M., Anderson, R.B., Blank, J., Deans, M., Delapp, D., Léveillé, R., McInroy, R., Martinez, R., Meslin, P., and Pinet, P., 2015, Understanding the signature of rock coatings in laser-induced breakdown spectroscopy data: Icarus, v. 249, p. 62-73, https://doi.org/10.1016/j.icarus.2014.05.038.","productDescription":"12 p.","startPage":"62","endPage":"73","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052703","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":299757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"249","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55322eefe4b0b22a15806408","contributors":{"authors":[{"text":"Lanza, Nina L.","contributorId":140299,"corporation":false,"usgs":false,"family":"Lanza","given":"Nina","email":"","middleInitial":"L.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ollila, Ann M.","contributorId":50834,"corporation":false,"usgs":false,"family":"Ollila","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":545185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cousin, Agnes","contributorId":40139,"corporation":false,"usgs":false,"family":"Cousin","given":"Agnes","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545186,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiens, Roger C.","contributorId":140330,"corporation":false,"usgs":false,"family":"Wiens","given":"Roger","email":"","middleInitial":"C.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545187,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clegg, Samuel M.","contributorId":23460,"corporation":false,"usgs":false,"family":"Clegg","given":"Samuel","email":"","middleInitial":"M.","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mangold, Nicolas","contributorId":52903,"corporation":false,"usgs":false,"family":"Mangold","given":"Nicolas","email":"","affiliations":[],"preferred":false,"id":545189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bridges, Nathan","contributorId":55168,"corporation":false,"usgs":false,"family":"Bridges","given":"Nathan","affiliations":[{"id":7166,"text":"Johns Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":545190,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cooper, Daniel","contributorId":140332,"corporation":false,"usgs":false,"family":"Cooper","given":"Daniel","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schmidt, Mariek E.","contributorId":81796,"corporation":false,"usgs":false,"family":"Schmidt","given":"Mariek","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":545193,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berger, Jeffrey","contributorId":140331,"corporation":false,"usgs":false,"family":"Berger","given":"Jeffrey","email":"","affiliations":[{"id":13255,"text":"University of Western Ontario","active":true,"usgs":false}],"preferred":false,"id":545194,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Arvidson, Raymond 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Rhonda","contributorId":140335,"corporation":false,"usgs":false,"family":"McInroy","given":"Rhonda","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545210,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Martinez, Ronald","contributorId":140336,"corporation":false,"usgs":false,"family":"Martinez","given":"Ronald","email":"","affiliations":[{"id":13447,"text":"Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":545211,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Meslin, Pierre-Yves","contributorId":66186,"corporation":false,"usgs":false,"family":"Meslin","given":"Pierre-Yves","email":"","affiliations":[],"preferred":false,"id":545212,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Pinet, 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,{"id":70144530,"text":"70144530 - 2015 - Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","interactions":[],"lastModifiedDate":"2017-11-22T18:01:48","indexId":"70144530","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","docAbstract":"<p><span>Analyses of how organisms are likely to respond to a changing climate have focused largely on the direct effects of warming temperatures, though changes in other variables may also be important, particularly the amount and timing of precipitation. Here, we develop a network of eight growth-increment width chronologies for freshwater mussel species in the Pacific Northwest, United States and integrate them with tree-ring data to evaluate how terrestrial and aquatic indicators respond to hydroclimatic variability, including river discharge and precipitation. Annual discharge averaged across water years (October 1&ndash;September 30) was highly synchronous among river systems and imparted a coherent pattern among mussel chronologies. The leading principal component of the five longest mussel chronologies (1982&ndash;2003; PC1</span><sub>mussel</sub><span>) accounted for 47% of the dataset variability and negatively correlated with the leading principal component of river discharge (PC1</span><sub>discharge</sub><span>;&nbsp;</span><i>r</i><span>&nbsp;=&nbsp;&minus;0.88;&nbsp;</span><i>P</i><span>&nbsp;&lt;&nbsp;0.0001). PC1</span><sub>mussel</sub><span>&nbsp;and PC1</span><sub>discharge</sub><span>&nbsp;were closely linked to regional wintertime precipitation patterns across the Pacific Northwest, the season in which the vast majority of annual precipitation arrives. Mussel growth was also indirectly related to tree radial growth, though the nature of the relationships varied across the landscape. Negative correlations occurred in forests where tree growth tends to be limited by drought while positive correlations occurred in forests where tree growth tends to be limited by deep or lingering snowpack. Overall, this diverse assemblage of chronologies illustrates the importance of winter precipitation to terrestrial and freshwater ecosystems and suggests that a complexity of climate responses must be considered when estimating the biological impacts of climate variability and change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12756","usgsCitation":"Black, B.A., Dunham, J., Blundon, B.W., Brim-Box, J., and Tepley, A.J., 2015, Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest: Global Change Biology, v. 21, no. 2, p. 594-604, https://doi.org/10.1111/gcb.12756.","productDescription":"11 p.","startPage":"594","endPage":"604","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056994","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":299199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.068359375,\n              42.01665183556825\n            ],\n            [\n              -125.068359375,\n              48.93693495409401\n            ],\n            [\n              -111.005859375,\n              48.93693495409401\n            ],\n            [\n              -111.005859375,\n              42.01665183556825\n            ],\n            [\n              -125.068359375,\n              42.01665183556825\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"551bc52ce4b0323842783a4e","chorus":{"doi":"10.1111/gcb.12756","url":"http://dx.doi.org/10.1111/gcb.12756","publisher":"Wiley-Blackwell","authors":"Black Bryan A., Dunham Jason B., Blundon Brett W., Brim-Box Jayne, Tepley Alan J.","journalName":"Global Change Biology","publicationDate":"11/17/2014","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":543683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blundon, Brett W.","contributorId":26805,"corporation":false,"usgs":false,"family":"Blundon","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brim-Box, Jayne","contributorId":139992,"corporation":false,"usgs":false,"family":"Brim-Box","given":"Jayne","email":"","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":543685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepley, Alan J.","contributorId":139993,"corporation":false,"usgs":false,"family":"Tepley","given":"Alan","email":"","middleInitial":"J.","affiliations":[{"id":13346,"text":"University of Colorado at Boulder, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":543686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70144298,"text":"70144298 - 2015 - Migrations and swimming capabilities of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>) to guide passage designs in the fragmented Yellowstone River","interactions":[],"lastModifiedDate":"2015-03-27T10:21:57","indexId":"70144298","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Migrations and swimming capabilities of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>) to guide passage designs in the fragmented Yellowstone River","docAbstract":"<p><span>Fragmentation of the Yellowstone River is hypothesized to preclude recruitment of endangered&nbsp;</span><i>Scaphirhynchus albus</i><span>&nbsp;(pallid sturgeon) by impeding upstream spawning migrations and access to upstream spawning areas, thereby limiting the length of free-flowing river required for survival of early life stages. Building on this hypothesis, the reach of the Yellowstone River affected by Intake Diversion Dam (IDD) is targeted for modification. Structures including a rock ramp and by-pass channel have been proposed as restoration alternatives to facilitate passage. Limited information on migrations and swimming capabilities of pallid sturgeon is available to guide engineering design specifications for the proposed structures. Migration behavior, pathways (channel routes used during migrations), and swimming capabilities of free-ranging wild adult pallid sturgeon were examined using radiotelemetry, and complemented with hydraulic data obtained along the migration pathways. Migrations of 12&ndash;26% of the telemetered pallid sturgeon population persisted to IDD, but upstream passage over the dam was not detected. Observed migration pathways occurred primarily through main channel habitats; however, migrations through side channels up to 3.9 km in length were documented. The majority of pallid sturgeon used depths of 2.2&ndash;3.4 m and mean water velocities of 0.89&ndash;1.83 m/s while migrating. Results provide inferences on depths, velocities, and habitat heterogeneity of reaches successfully negotiated by pallid sturgeon that may be used to guide designs for structures facilitating passage at IDD. Passage will provide connectivity to potential upstream spawning areas on the Yellowstone River, thereby increasing the likelihood of recruitment for this endangered species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12161","usgsCitation":"Braaten, P., Elliott, C.M., Rhoten, J.C., Fuller, D.B., and McElroy, B.J., 2015, Migrations and swimming capabilities of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>) to guide passage designs in the fragmented Yellowstone River: Restoration Ecology, v. 23, no. 2, p. 186-195, https://doi.org/10.1111/rec.12161.","productDescription":"10 p.","startPage":"186","endPage":"195","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053264","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":299022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Yellowstone River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.56375122070312,\n              47.26432008025478\n            ],\n            [\n              -104.56375122070312,\n              47.302282968719936\n            ],\n            [\n              -104.48684692382812,\n              47.302282968719936\n            ],\n            [\n              -104.48684692382812,\n              47.26432008025478\n            ],\n            [\n              -104.56375122070312,\n              47.26432008025478\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"23","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-26","publicationStatus":"PW","scienceBaseUri":"55167f33e4b0323842781b07","contributors":{"authors":[{"text":"Braaten, P. J. pbraaten@usgs.gov","contributorId":2724,"corporation":false,"usgs":true,"family":"Braaten","given":"P. J.","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":543455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":543456,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rhoten, Jason C.","contributorId":7633,"corporation":false,"usgs":false,"family":"Rhoten","given":"Jason","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":543457,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, D. B.","contributorId":58196,"corporation":false,"usgs":true,"family":"Fuller","given":"D.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":543458,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McElroy, Brandon J.","contributorId":58197,"corporation":false,"usgs":true,"family":"McElroy","given":"Brandon","email":"","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":543459,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155925,"text":"70155925 - 2015 - 2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2018-02-21T17:54:57","indexId":"70155925","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/ARD/NRR—2015/997","title":"2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park","docAbstract":"In 2004, multiple agencies including the Colorado Department of Public Health and Environment (CDPHE), the National Park Service (NPS), and the U.S. Environmental Protection Agency (U.S. EPA) met to address the effects and trends of nitrogen deposition and related air quality issues at Rocky Mountain National Park (RMNP). These agencies signed a Memorandum of Understanding (MOU) to facilitate interagency coordination, calling the effort the “Rocky Mountain National Park Initiative.” After much collaboration, the MOU agencies (CDPHE, NPS, and U.S. EPA) issued the Nitrogen Deposition Reduction Plan (NDRP) in 2007, which was endorsed by the three agencies and the Colorado Air Quality Control Commission (AQCC). The NDRP and other related documents are available on the CDPHE website: http://www.colorado.gov/cdphe/rmnpinitiative.\r\n\r\nThe purpose of this report is to inform the MOU agencies, stakeholders, and the public about the status and trends of wet nitrogen deposition at RMNP\r\nthrough 2013. In addition to other types of evidence, the MOU agencies use the information provided in this annual report to determine interim milestone achievements.","language":"English","publisher":"National Park Service","usgsCitation":"Morris, K., Mast, M.A., Clow, D.W., Wetherbee, G.A., Baron, J., Taipale, C., Blett, T., Gay, D., and Bowker, D., 2015, 2013 Monitoring and tracking wet nitrogen deposition at Rocky Mountain National Park: Natural Resource Report NPS/NRSS/ARD/NRR—2015/997, v, 32 p.","productDescription":"v, 32 p.","numberOfPages":"41","ipdsId":"IP-065590","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":339817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":306277,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2223313"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f5d443e4b0f2e20545e425","contributors":{"authors":[{"text":"Morris, Kristi","contributorId":45197,"corporation":false,"usgs":true,"family":"Morris","given":"Kristi","affiliations":[],"preferred":false,"id":566903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":566904,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":566905,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":566906,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taipale, Curt","contributorId":86237,"corporation":false,"usgs":true,"family":"Taipale","given":"Curt","email":"","affiliations":[],"preferred":false,"id":566907,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blett, Tamara","contributorId":61070,"corporation":false,"usgs":true,"family":"Blett","given":"Tamara","affiliations":[],"preferred":false,"id":566908,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gay, David A.","contributorId":68022,"corporation":false,"usgs":true,"family":"Gay","given":"David A.","affiliations":[],"preferred":false,"id":566909,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowker, Daniel","contributorId":146263,"corporation":false,"usgs":false,"family":"Bowker","given":"Daniel","email":"","affiliations":[{"id":16654,"text":"Colorado State University, Natural Resource Ecologyy Lab","active":true,"usgs":false}],"preferred":false,"id":566910,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70185008,"text":"70185008 - 2015 - Mobilization of microspheres from a fractured soil during intermittent infiltration events","interactions":[],"lastModifiedDate":"2018-09-04T16:04:40","indexId":"70185008","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3674,"text":"Vadose Zone Journal","active":true,"publicationSubtype":{"id":10}},"title":"Mobilization of microspheres from a fractured soil during intermittent infiltration events","docAbstract":"<p>Pathogens or biocolloids mobilized in the vadose zone may consequently contaminate groundwater. We found that microspheres were mobilized from a fractured soil during intermittent rainfall and the mobilization was greater when the microsphere size was larger and when the soil had greater water permeability.</p><p>The vadose zone filters pathogenic microbes from infiltrating water and consequently protects the groundwater from possible contamination. In some cases, however, the deposited microbes may be mobilized during rainfall and migrate into the groundwater. We examined the mobilization of microspheres, surrogates for microbes, in an intact core of a fractured soil by intermittent simulated rainfall. Fluorescent polystyrene microspheres of two sizes (0.5 and 1.8 mm) and Br<sup>−</sup> were first applied to the core to deposit the microspheres, and then the core was subjected to three intermittent infiltration events to mobilize the deposited microspheres. Collecting effluent samples through a 19-port sampler at the base of the core, we found that water flowed through only five ports, and the flow rates varied among the ports by a factor of 12. These results suggest that flow paths leading to the ports had different permeabilities, partly due to macropores. Although 40 to 69% of injected microspheres were retained in the core during their application, 12 to 30% of the retained microspheres were mobilized during three intermittent infiltration events. The extent of microsphere mobilization was greater in flow paths with greater permeability, which indicates that macropores could enhance colloid mobilization during intermittent infiltration events. In all ports, the 1.8-mm microspheres were mobilized to a greater extent than the 0.5-mm microspheres, suggesting that larger colloids are more likely to mobilize. These results are useful in assessing the potential of pathogen mobilization and colloid-facilitated transport of contaminants in the subsurface under natural infiltration events.</p>","language":"English","publisher":"ACSESS","doi":"10.2136/vzj2014.05.0058","usgsCitation":"Mohanty, S., Bulicek, M., Metge, D.W., Harvey, R.W., Ryan, J.N., and Boehm, A., 2015, Mobilization of microspheres from a fractured soil during intermittent infiltration events: Vadose Zone Journal, v. 14, no. 1, https://doi.org/10.2136/vzj2014.05.0058.","ipdsId":"IP-060563","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":472403,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1582084","text":"Publisher Index Page"},{"id":337644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-05","publicationStatus":"PW","scienceBaseUri":"58ca52cfe4b0849ce97c86b6","contributors":{"authors":[{"text":"Mohanty, Sanjay","contributorId":189137,"corporation":false,"usgs":false,"family":"Mohanty","given":"Sanjay","email":"","affiliations":[],"preferred":false,"id":683942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bulicek, Mark","contributorId":189138,"corporation":false,"usgs":false,"family":"Bulicek","given":"Mark","email":"","affiliations":[],"preferred":false,"id":683943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Metge, David W. dwmetge@usgs.gov","contributorId":663,"corporation":false,"usgs":true,"family":"Metge","given":"David","email":"dwmetge@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503 rwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":564,"corporation":false,"usgs":true,"family":"Harvey","given":"Ronald","email":"rwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":683944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ryan, Joseph N.","contributorId":54290,"corporation":false,"usgs":false,"family":"Ryan","given":"Joseph","email":"","middleInitial":"N.","affiliations":[{"id":604,"text":"University of Colorado- Boulder","active":false,"usgs":true}],"preferred":false,"id":683945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boehm, Alexandria B.","contributorId":51616,"corporation":false,"usgs":true,"family":"Boehm","given":"Alexandria B.","affiliations":[],"preferred":false,"id":683946,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70150434,"text":"70150434 - 2015 - Land use structures fish assemblages in reservoirs of the Tennessee River","interactions":[],"lastModifiedDate":"2015-06-26T15:42:11","indexId":"70150434","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2681,"text":"Marine and Freshwater Research","active":true,"publicationSubtype":{"id":10}},"title":"Land use structures fish assemblages in reservoirs of the Tennessee River","docAbstract":"<p><span>Inputs of nutrients, sediments and detritus from catchments can promote selected components of reservoir fish assemblages, while hindering others. However, investigations linking these catchment subsidies to fish assemblages have generally focussed on one or a handful of species. Considering this paucity of community-level awareness, we sought to explore the association between land use and fish assemblage composition in reservoirs. To this end, we compared fish assemblages in reservoirs of two sub-basins of the Tennessee River representing differing intensities of agricultural development, and hypothesised that fish assemblage structure indicated by species percentage composition would differ among reservoirs in the two sub-basins. Using multivariate statistical analysis, we documented inter-basin differences in land use, reservoir productivity and fish assemblages, but no differences in reservoir morphometry or water regime. Basins were separated along a gradient of forested and non-forested catchment land cover, which was directly related to total nitrogen, total phosphorous and chlorophyll-</span><i>a</i><span>&nbsp;concentrations. Considering the extensive body of knowledge linking land use to aquatic systems, it is reasonable to postulate a hierarchical model in which productivity has direct links to terrestrial inputs, and fish assemblages have direct links to both land use and productivity. We observed a shift from an invertivore-based fish assemblage in forested catchments to a detritivore-based fish assemblage in agricultural catchments that may be a widespread pattern among reservoirs and other aquatic ecosystems.</span></p>","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF14188","usgsCitation":"Miranda, L.E., Bies, J.M., and Hann, D.A., 2015, Land use structures fish assemblages in reservoirs of the Tennessee River: Marine and Freshwater Research, v. 66, no. 6, p. 526-534, https://doi.org/10.1071/MF14188.","productDescription":"9 p.","startPage":"526","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057376","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":303097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Tennessee River","volume":"66","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65961","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bies, J. M.","contributorId":144086,"corporation":false,"usgs":false,"family":"Bies","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":558568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hann, D. A.","contributorId":144087,"corporation":false,"usgs":false,"family":"Hann","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":558569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046852,"text":"70046852 - 2015 - Ocean minerals","interactions":[],"lastModifiedDate":"2021-11-24T14:51:24.651072","indexId":"70046852","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Ocean minerals","docAbstract":"<div><div class=\"product-toc-wrapper\"><div class=\"flex-container\"><div class=\"chapter-title-pagenumber col-9\"><div class=\"view-abstract\"><div id=\"multi-collapse\" class=\"abstract-content multi-collapse\"><div><p>Nearly 71 percent of the Earth is covered by ocean, yet during the entire history of societies, the mineral resources essential for nation building have been acquired solely from the continents. Deep-ocean minerals were discovered over a century ago during the Challenger expedition of 1873—1876, but only relatively recently did programs develop to determine their origin, distribution, and resource potential. Continental margin marine mineral deposits include aggregate, sand, placer minerals, and phosphorite. Aggregate, sand, and placers are detrital minerals that were transported and deposited on the shelf, whereas phosphorite is a chemical sedimentary deposit that formed in place from chemical reactions in the near-surface sediment. Seawater makes up 98.8 percent of the world's surface water and contains every element in the periodic table, mostly in trace concentrations. Fe-Mn crusts are found on rock surfaces of seamounts, ridges, and plateaus as pavements and coatings on talus in areas that remain sediment-free for millions of years.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Routledge handbook of ocean resources and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor and Francis","usgsCitation":"Hein, J.R., and Mizell, K., 2015, Ocean minerals, chap. 20 <i>of</i> Routledge handbook of ocean resources and management, p. 296-309.","productDescription":"14 p.","startPage":"296","endPage":"309","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-046071","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":325092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":392095,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/edit/10.4324/9780203115398-21/ocean-minerals-james-hein-kira-mizell?context=ubx&refId=3768cfd2-089c-4288-957a-f7253a2544eb"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"579dd016e4b0589fa1cbdbf0","contributors":{"editors":[{"text":"Smith, Hance D.","contributorId":269506,"corporation":false,"usgs":false,"family":"Smith","given":"Hance","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":827327,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"de Vivero, Juan Luis Suarez","contributorId":269507,"corporation":false,"usgs":false,"family":"de Vivero","given":"Juan","email":"","middleInitial":"Luis Suarez","affiliations":[],"preferred":false,"id":827328,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Agardy, Tundi S.","contributorId":269508,"corporation":false,"usgs":false,"family":"Agardy","given":"Tundi","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":827329,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":2828,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":518047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira L.","contributorId":117870,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira L.","affiliations":[],"preferred":false,"id":518048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176445,"text":"70176445 - 2015 - Evaluation of stream flow effects on smolt survival in the Yakima River Basin, Washington, 2012-2014","interactions":[],"lastModifiedDate":"2017-02-27T12:47:53","indexId":"70176445","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Evaluation of stream flow effects on smolt survival in the Yakima River Basin, Washington, 2012-2014","docAbstract":"The influence of stream flow on survival of emigrating juvenile (smolts) Pacific salmon Oncorhynchus spp. and steelhead trout O. mykiss is of key management interest. However, few studies have quantified flow effects on smolt migration survival, and available information does not indicate a consistent flow-survival relationship within the typical range of flows under\r\nmanagement control. It is hypothesized that smolt migration and dam passage survival are positively correlated with stream flow because higher flows increase migration rates, potentially reducing exposure to predation, and reduce delays in reservoirs. However, available empirical data are somewhat equivocal concerning the influence of flow on smolt survival and the underlying mechanisms driving this relationship. Stream flow effects on survival of emigrating anadromous salmonids in the Yakima Basin have concerned water users and fisheries managers for over 20 years, and previous studies do not provide sufficient information at the resolution\r\nnecessary to inform water operations, which typically occur on a small spatiotemporal scale. Using a series of controlled flow releases from 2012-2014, combined with radio telemetry, we quantified the relationship between flow and smolt survival from Roza Dam 208 km downstream\r\nto the Yakima River mouth, as well as for specific routes of passage at Roza Dam. A novel multistate mark-recapture model accounted for weekly variation in flow conditions experienced by radio-tagged fish.\r\n\r\nGroups of fish were captured and radio-tagged at Roza Dam and released at two locations, upstream at the Big Pines Campground (river kilometer [rkm] 211) and downstream in the Roza Dam tailrace (rkm 208). A total of 904 hatchery-origin yearling Chinook salmon O. tshawytscha were captured in the Roza Dam fish bypass, radio-tagged and released upstream of Roza Dam.\r\nTwo hundred thirty seven fish were released in the tailrace of Roza Dam. Fish released in the tailrace of Roza Dam were tagged concurrently with fish released upstream of the dam using identical tagging methods. Tagging and release events were conducted to target a range of flow conditions indicative of flows observed during the typical migration period (March-May) for\r\njuvenile spring Chinook salmon in the Yakima River. Three, five and four separate upstream releases were conducted in 2012, 2013, and 2014 respectively, and at least 43 fish were released alive on each occasion. The release sample sizes in 2014 were much larger (~130) compared to previous years for the purpose of increasing precision of survival estimates across the range of flows tested.\r\n\r\nMigration movements of radio-tagged spring Chinook salmon smolts were monitored with an array of telemetry receiver stations (fixed sites) that extended 208 rkm downstream from the forebay of Roza Dam to the mouth of the Yakima River. Fixed monitoring sites included the forebay of Roza Dam (rkm 208), the tailrace of Roza Dam (rkm 207.9), the mouth of Wenas Creek (rkm 199.2), the mouth of the Naches River (two sites, rkm 189.4), Sunnyside Dam (two sites, rkm 169.1), Prosser Dam (rkm 77.2), and the mouth of the Yakima River (two sites, rkm2 3). This array segregated the study area into four discrete reaches in which survival of tagged fish was estimated. Aerial and underwater antennas were also used to monitor tagged fish at Roza Dam. Aerial antennas were located in the forebay, on the East gate, on the West gate, and in the tailrace of Roza Dam. Underwater antennas were located in the fish bypass, upstream of the East gate, and upstream of the West gate to collect route-specific passage data for tagged fish.\r\n\r\nAdditional years of data collection and analysis could alter or improve our understanding of the influence of flow and other environmental factors on smolt survival in the Yakima River. Nevertheless, during 2012-2014, yearling hatchery Chinook salmon smolt emigration survival was significantly associated with stream flow in the","language":"English","publisher":"U.S. Bureau of Reclamation ","collaboration":"Cramer Fish Sciences","usgsCitation":"Courter, I., Garrison, T., Kock, T.J., and Perry, R.W., 2015, Evaluation of stream flow effects on smolt survival in the Yakima River Basin, Washington, 2012-2014, 67 p. .","productDescription":"67 p. ","startPage":"1","endPage":"67","ipdsId":"IP-066202","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":336269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328633,"type":{"id":15,"text":"Index Page"},"url":"https://www.fishsciences.net/reports/2015/FinalRozaTechReport9-23-15.pdf"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548c3e4b01ccd54fddfd2","contributors":{"authors":[{"text":"Courter, Ian","contributorId":173188,"corporation":false,"usgs":false,"family":"Courter","given":"Ian","affiliations":[{"id":27180,"text":"Mount Hood Environmental","active":true,"usgs":false}],"preferred":false,"id":648787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Tommy","contributorId":174619,"corporation":false,"usgs":false,"family":"Garrison","given":"Tommy","email":"","affiliations":[{"id":27482,"text":"Cramer Fish Sciences, 600 NW Fariss Rd., Gresham, OR  97030","active":true,"usgs":false}],"preferred":false,"id":648788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":648786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":648789,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70137756,"text":"70137756 - 2015 - North Cascades National Park Service Complex","interactions":[],"lastModifiedDate":"2017-11-22T15:53:32","indexId":"70137756","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NPS/NOCA/NRR—2015/901","title":"North Cascades National Park Service Complex","docAbstract":"<p>Natural Resource Condition Assessments (NRCAs) evaluate current conditions for a subset of natural resources and resource indicators in national parks. NRCAs also report on trends in resource condition (when possible), identify critical data gaps, and characterize a general level of confidence for study findings. The resources and indicators emphasized in a given project depend on the park’s resource setting, status of resource stewardship planning and science in identifying high-priority indicators, and availability of data and expertise to assess current conditions for a variety of potential study resources and indicators. Although the primary objective of NRCAs is to report on current conditions relative to logical forms of reference conditions and values, NRCAs also report on trends, when appropriate (i.e., when the underlying data and methods support such reporting), as well as influences on resource conditions. These influences may include past activities or conditions that provide a helpful context for understanding current conditions and present-day threats and stressors that are best interpreted at park, watershed, or landscape scales (though NRCAs do not report on condition status for land areas and natural resources beyond park boundaries). Intensive cause-andeffect analyses of threats and stressors, and development of detailed treatment options, are outside the scope of NRCAs.</p>","language":"English","publisher":"National Park Service","collaboration":"U.S. Fish and Wildlife Service; Climate Impacts Group, College of the Environment, University of Washington; University of Washington Office of the Washington State Climatologist; U.S. Department of the Interior Climate Science Center, Alaska","usgsCitation":"Hoffman, R., Woodward, A., Haggerty, P.K., Jenkins, K.J., Griffin, P., Adams, M.J., Hagar, J., Cummings, T., Duriscoe, D., Kopper, K., Riedel, J., Marin, L., Mauger, G.S., Bumbaco, K., and Littell, J.S., 2015, North Cascades National Park Service Complex, xxviii., 358 p. .","productDescription":"xxviii., 358 p. ","startPage":"390","ipdsId":"IP-056926","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":328466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297134,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/App/Reference/Profile/2219076"}],"country":"United States","state":"Washington ","otherGeospatial":"North Cascades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.6021728515625,\n              48.99463598353408\n            ],\n            [\n              -120.948486328125,\n              49.005447494058096\n            ],\n            [\n              -120.69580078125001,\n              48.531157010976706\n            ],\n            [\n              -120.52001953124999,\n              48.33799480425318\n            ],\n            [\n              -120.76171875,\n              48.27588152743497\n            ],\n            [\n              -121.11328124999999,\n              48.39638531208806\n            ],\n            [\n              -121.58020019531249,\n              48.73083222613515\n            ],\n            [\n              -121.7779541015625,\n              48.99824008113872\n            ],\n            [\n              -121.6021728515625,\n              48.99463598353408\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3ce4b0571647d19ab4","contributors":{"authors":[{"text":"Hoffman, Robert robert_hoffman@usgs.gov","contributorId":2991,"corporation":false,"usgs":true,"family":"Hoffman","given":"Robert","email":"robert_hoffman@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haggerty, Patricia K. phaggerty@usgs.gov","contributorId":4602,"corporation":false,"usgs":true,"family":"Haggerty","given":"Patricia","email":"phaggerty@usgs.gov","middleInitial":"K.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":538050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":538051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffin, Paul C. pgriffin@usgs.gov","contributorId":3402,"corporation":false,"usgs":true,"family":"Griffin","given":"Paul C.","email":"pgriffin@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":538052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, M. 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,{"id":70128767,"text":"70128767 - 2015 - Correspondence of biological condition models of California streams at statewide and regional scales","interactions":[],"lastModifiedDate":"2016-07-12T09:41:38","indexId":"70128767","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Correspondence of biological condition models of California streams at statewide and regional scales","docAbstract":"<p><span>We used boosted regression trees (BRT) to model stream biological condition as measured by benthic macroinvertebrate taxonomic completeness, the ratio of observed to expected (O/E) taxa. Models were developed with and without exclusion of rare taxa at a site. BRT models are robust, requiring few assumptions compared with traditional modeling techniques such as multiple linear regression. The BRT models were constructed to provide baseline support to stressor delineation by identifying natural physiographic and human land use gradients affecting stream biological condition statewide and for eight ecological regions within the state, as part of the development of numerical biological objectives for California&rsquo;s wadeable streams. Regions were defined on the basis of ecological, hydrologic, and jurisdictional factors and roughly corresponded with ecoregions. Physiographic and land use variables were derived from geographic information system coverages. The model for the entire state (</span><i class=\"EmphasisTypeItalic \">n</i><span>&thinsp;=&thinsp;1,386) identified a composite measure of anthropogenic disturbance (the sum of urban, agricultural, and unmanaged roadside vegetation land cover) within the local watershed as the most important variable, explaining 56&nbsp;% of the variance in O/E values. Models for individual regions explained between 51 and 84&nbsp;% of the variance in O/E values. Measures of human disturbance were important in the three coastal regions. In the South Coast and Coastal Chaparral, local watershed measures of urbanization were the most important variables related to biological condition, while in the North Coast the composite measure of human disturbance at the watershed scale was most important. In the two mountain regions, natural gradients were most important, including slope, precipitation, and temperature. The remaining three regions had relatively small sample sizes (</span><i class=\"EmphasisTypeItalic \">n</i><span>&thinsp;&le;&thinsp;75 sites) and had models that gave mixed results. Understanding the spatial scale at which land use and land cover affect taxonomic completeness is imperative for sound management. Our results suggest that invertebrate taxonomic completeness is affected by human disturbance at the statewide and regional levels, with some differences among regions in the importance of natural gradients and types of human disturbance. The construction and application of models similar to the ones presented here could be useful in the planning and prioritization of actions for protection and conservation of biodiversity in California streams.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-014-4086-x","usgsCitation":"May, J.T., Brown, L.R., Rehn, A.C., Waite, I.R., Ode, P., Mazor, R., and Schiff, K., 2015, Correspondence of biological condition models of California streams at statewide and regional scales: Environmental Monitoring and Assessment, v. 187, Article 4086; 21 p., https://doi.org/10.1007/s10661-014-4086-x.","productDescription":"Article 4086; 21 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051366","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":472437,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-014-4086-x","text":"Publisher Index 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,{"id":70174571,"text":"70174571 - 2015 - Characterization of stormwater runoff from bridges in North Carolina and the effects of bridge runoff on receiving streams","interactions":[],"lastModifiedDate":"2016-11-30T15:08:12","indexId":"70174571","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"title":"Characterization of stormwater runoff from bridges in North Carolina and the effects of bridge runoff on receiving streams","docAbstract":"<p>The presentation will provide an overview of a collaborative study between USGS, NC Department of Transportation and URS Corporation to characterize stormwater runoff from bridges in North Carolina and the effects of bridge runoff on receiving streams. This investigation measured bridge deck runoff from 15 bridges for 12-15 storms, stream water-quality data for baseflow and storm conditions at four of the bridge deck sites and streambed sediment chemistry upstream and downstream of 30 bridges across North Carolina. Background on why the study was conducted, objectives and scope and a general summary of the major results and conclusions will be presented.</p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 2015 International Conference on Ecology & Transportation","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"language":"English","collaboration":"NC Department of Transportation","usgsCitation":"Wagner, C., Fitzgerald, S., and Lauffer, M., 2015, Characterization of stormwater runoff from bridges in North Carolina and the effects of bridge runoff on receiving streams, <i>in</i> Proceedings of the 2015 International Conference on Ecology & Transportation, Abstract for Paper Presentation at the International Conference on Ecology and Transportation.","productDescription":"Abstract for Paper Presentation at the International Conference on Ecology and 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,{"id":70191888,"text":"70191888 - 2015 - Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","interactions":[],"lastModifiedDate":"2018-01-26T11:09:56","indexId":"70191888","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Ground-based thermal imaging of stream surface temperatures: Technique and evaluation","docAbstract":"<p><span>We evaluated a ground-based handheld thermal imaging system for measuring water temperatures using data from eight southwestern USA streams and rivers. We found handheld thermal imagers could provide considerably more spatial information on water temperature (for our unit one image = 19,600 individual temperature measurements) than traditional methods could supply without a prohibitive amount of effort. Furthermore, they could provide measurements of stream surface temperature almost instantaneously compared with most traditional handheld thermometers (e.g., &gt;20&nbsp;s/reading). Spatial temperature analysis is important for measurement of subtle temperature differences across waterways, and identification of warm and cold groundwater inputs. Handheld thermal imaging is less expensive and equipment intensive than airborne thermal imaging methods and is useful under riparian canopies. Disadvantages of handheld thermal imagers include their current higher expense than thermometers, their susceptibility to interference when used incorrectly, and their slightly lower accuracy than traditional temperature measurement methods. Thermal imagers can only measure surface temperature, but this usually corresponds to subsurface temperatures in well-mixed streams and rivers. Using thermal imaging in select applications, such as where spatial investigations of water temperature are needed, or in conjunction with stationary temperature data loggers or handheld electronic or liquid-in-glass thermometers to characterize stream temperatures by both time and space, could provide valuable information on stream temperature dynamics. These tools will become increasingly important to fisheries biologists as costs continue to decline.</span></p>","language":"English","publisher":"Wiley","doi":"10.1080/02755947.2015.1091410","usgsCitation":"Bonar, S.A., and Petre, S.J., 2015, Ground-based thermal imaging of stream surface temperatures: Technique and evaluation: North American Journal of Fisheries Management, v. 35, no. 6, p. 1209-1218, https://doi.org/10.1080/02755947.2015.1091410.","productDescription":"10 p.","startPage":"1209","endPage":"1218","ipdsId":"IP-057935","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-02","publicationStatus":"PW","scienceBaseUri":"5a6c4c98e4b06e28e9cabb16","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713546,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Petre, Sally J.","contributorId":197664,"corporation":false,"usgs":false,"family":"Petre","given":"Sally","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725876,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187777,"text":"70187777 - 2015 - Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","interactions":[],"lastModifiedDate":"2017-05-18T14:27:37","indexId":"70187777","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada","docAbstract":"The lower part of the Garden Valley Formation yields two distinct conodont faunas. One of late Asselian age dominated by Mesogondolella and Streptognathodus and one of Artinskian age dominated by Sweetognathus with Mesogondolella. The Asselian fauna contains the same species as those found in the type area of the Asselian in the southern Urals including Mesogondolella dentiseparata, described for the first time outside of the Urals. Apparatuses for Sweetognathus whitei, Diplognathodus stevensi, and Idioprioniodus sp. are described. The Garden Valley Formation represents a marine pro-delta basin and platform, and marine and shore fan delta complex deposition. The fan-delta complex was most likely deposited from late Artinskian to late Wordian. The Garden Valley Formation records tremendous swings in depositional setting from shallow-water to basin to shore.","language":"English","publisher":"Micropaleontology Press","usgsCitation":"Wardlaw, B.R., Gallegos, D.M., Chernykh, V.V., and Snyder, W.S., 2015, Early Permian conodont fauna and stratigraphy of the Garden Valley Formation, Eureka County, Nevada: Micropaleontology, v. 61, p. 369-387.","productDescription":"19 p.","startPage":"369","endPage":"387","ipdsId":"IP-071645","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":341481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":341457,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-320/article-1955"}],"country":"United States","state":"Nevada","county":"Eureka County","otherGeospatial":"Garden Valley 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V.","contributorId":150733,"corporation":false,"usgs":false,"family":"Chernykh","given":"Valery","email":"","middleInitial":"V.","affiliations":[{"id":18081,"text":"Rusian Academy of Science","active":true,"usgs":false}],"preferred":false,"id":695577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Walter S.","contributorId":150735,"corporation":false,"usgs":false,"family":"Snyder","given":"Walter","email":"","middleInitial":"S.","affiliations":[{"id":18083,"text":"Boise State Univ.","active":true,"usgs":false}],"preferred":false,"id":695578,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188826,"text":"70188826 - 2015 - Isotopic geochemistry of Panama rivers","interactions":[],"lastModifiedDate":"2017-06-27T13:01:29","indexId":"70188826","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3828,"text":"Procedia Earth and Planetary Science","active":true,"publicationSubtype":{"id":10}},"title":"Isotopic geochemistry of Panama rivers","docAbstract":"<p><span>River water samples collected from 78 watersheds rivers along a 500-km transect across a Late Cretaceous-Tertiary andesitic volcanic arc terrane in west-central Panama provide a synoptic overview of riverine geochemistry, chemical denudation, and CO</span><sub>2</sub><span> consumption in the tropics. D/H and </span><sup>18</sup><span>O/</span><sup>16</sup><span>O relationships indicate that bedrock dissolution of andesitic arc crust in Panama is driven by water-rock interaction with meteoric precipitation as it passes through the critical zone, with no evidence of a geothermal or hydrothermal input. Sr-isotope relationships suggest a geochemical evolution for Panama riverine waters that involves mixing of bedrock pore water with water having </span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr ratios between 0.7037-0.7043 and relatively high Sr-contents with waters of low Sr content that enriched in radiogenic Sr that are diluted by infiltrating rainfall to variable extents.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.proeps.2015.07.026","usgsCitation":"Harmon, R.S., Worner, G., Pribil, M., Kern, Z., Forizs, I., Lyons, W.B., Gardner, C.B., and Goldsmith, S.T., 2015, Isotopic geochemistry of Panama rivers: Procedia Earth and Planetary Science, v. 13, p. 108-111, https://doi.org/10.1016/j.proeps.2015.07.026.","productDescription":"4 p.","startPage":"108","endPage":"111","ipdsId":"IP-068818","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472427,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.proeps.2015.07.026","text":"Publisher Index Page"},{"id":342972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","volume":"13","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59536eace4b062508e3c7a95","contributors":{"authors":[{"text":"Harmon, Russell S.","contributorId":193452,"corporation":false,"usgs":false,"family":"Harmon","given":"Russell","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":700513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worner, Gerhard","contributorId":193453,"corporation":false,"usgs":false,"family":"Worner","given":"Gerhard","email":"","affiliations":[],"preferred":false,"id":700514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":700512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Zoltan","contributorId":193454,"corporation":false,"usgs":false,"family":"Kern","given":"Zoltan","email":"","affiliations":[],"preferred":false,"id":700515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Forizs, Istvan","contributorId":193455,"corporation":false,"usgs":false,"family":"Forizs","given":"Istvan","email":"","affiliations":[],"preferred":false,"id":700516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lyons, W. Berry","contributorId":193456,"corporation":false,"usgs":false,"family":"Lyons","given":"W.","email":"","middleInitial":"Berry","affiliations":[],"preferred":false,"id":700517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardner, Christopher B.","contributorId":193457,"corporation":false,"usgs":false,"family":"Gardner","given":"Christopher","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700518,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldsmith, Steven T.","contributorId":193458,"corporation":false,"usgs":false,"family":"Goldsmith","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":700519,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70191253,"text":"70191253 - 2015 - Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting","interactions":[],"lastModifiedDate":"2018-05-07T21:01:00","indexId":"70191253","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting","docAbstract":"<p>Trace element and Os isotope data for Lisburne Group metalliferous black shales of Middle Mississippian (early Chesterian) age in the Brooks Range of northern Alaska suggest that metals were sourced chiefly from local seawater (including biogenic detritus) but also from externally derived hydrothermal fluids. These black shales are interbedded with phosphorites and limestones in sequences 3 to 35 m thick; deposition occurred mainly on a carbonate ramp during intermittent upwelling under varying redox conditions, from suboxic to anoxic to sulfidic. Deposition of the black shales at ~335 Ma was broadly contemporaneous with sulfide mineralization in the Red Dog and Drenchwater Zn-Pb-Ag deposits, which formed in a distal marginal basin.</p><p>Relative to the composition of average black shale, the metalliferous black shales (<i>n</i><span>&nbsp;</span>= 29) display large average enrichment factors (&gt;10) for Zn (10.1), Cd (11.0), and Ag (20.1). Small enrichments (&gt;2–&lt;10) are shown by V, Cr, Ni, Cu, Mo, Pd, Pt, U, Se, Y, and all rare earth elements except Ce, Nd, and Sm. A detailed stratigraphic profile over 23 m in the Skimo Creek area (central Brooks Range) indicates that samples from at and near the top of the section, which accumulated during a period of major upwelling and is broadly correlative with the stratigraphic levels of the Red Dog and Drenchwater Zn-Pb-Ag deposits, have the highest Zn/TOC (total organic carbon), Cu/TOC, and Tl/TOC ratios for calculated marine fractions (no detrital component) of these three metals.</p><p>Average authigenic (detrital-free) contents of Mo, V, U, Ni, Cu, Cd, Pb, Ge, Re, Se, As, Sb, Tl, Pd, and Au show enrichment factors of 4.3 × 10<sup>3</sup><span>&nbsp;</span>to 1.2 × 10<sup>6</sup><span>&nbsp;</span>relative to modern seawater. Such moderate enrichments, which are common in other metalliferous black shales, suggest wholly marine sources (seawater and biogenic material) for these metals, given similar trends for enrichment factors in organic-rich sediments of modern upwelling zones on the Namibian, Peruvian, and Chilean shelves. The largest enrichment factors for Zn and Ag are much higher (1.4 × 10<sup>7</sup><span>&nbsp;</span>and 2.9 × 10<sup>7</sup>, respectively), consistent with an appreciable hydrothermal component. Other metals such as Cu, Pb, and Tl that are concentrated in several black shale samples, and are locally abundant in the Red Dog and Drenchwater Zn-Pb-Ag deposits, may have a partly hydrothermal origin but this cannot be fully established with the available data. Enrichments in Cr (up to 7.8 × 10<sup>6</sup>) are attributed to marine and not hydrothermal processes. The presence in some samples of large enrichments in Eu (up to 6.1 × 10<sup>7</sup>) relative to modern seawater and of small positive Eu anomalies (Eu/Eu* up to 1.12) are considered unrelated to hydrothermal activity, instead being linked to early diagenetic processes within sulfidic pore fluids.</p><p>Initial Os isotope ratios (<sup>187</sup>Os/<sup>188</sup>Os) calculated for a paleontologically based depositional age of 335 Ma reveal moderately unradiogenic values of 0.24 to 0.88 for four samples of metalliferous black shale. A proxy for the ratio of coeval early Chesterian seawater is provided by initial (<sup>187</sup>Os/<sup>188</sup>Os)<sub>335 Ma</sub><span>&nbsp;</span>ratios of four unaltered black shales of the coeval Kuna Formation that average 1.08, nearly identical to the initial ratio of 1.06 for modern seawater. Evaluation of possible sources of unradiogenic Os in the metalliferous black shales suggests that the most likely source was mafic igneous rocks that were leached by externally derived hydrothermal fluids. This unradiogenic Os is interpreted to have been leached by deeply circulating hydrothermal fluids in the Kuna basin, followed by venting of the fluids into overlying seawater.</p><p>We propose that metal-bearing hydrothermal fluids that formed Zn-Pb-Ag deposits such as Red Dog or Drenchwater vented into seawater in a marginal basin, were carried by upwelling currents onto the margins of a shallow-water carbonate platform, and were then deposited in organic-rich muds, together with seawater- and biogenically derived components, by syngenetic sedimentary processes. Metal concentration in the black shales was promoted by high biologic productivity, sorption onto organic matter, diffusion across redox boundaries, a low sedimentation rate, and availability of H<sub>2</sub>S in bottom waters and pore fluids.</p>","language":"English","publisher":"Society of Economic Geologists","doi":"10.2113/econgeo.110.3.653","usgsCitation":"Slack, J.F., Selby, D., and Dumoulin, J.A., 2015, Hydrothermal, biogenic, and seawater components in metalliferous black shales of the Brooks Range, Alaska: Synsedimentary metal enrichment in a carbonate ramp setting: Economic Geology, v. 110, no. 3, p. 653-675, https://doi.org/10.2113/econgeo.110.3.653.","productDescription":"23 p.","startPage":"653","endPage":"675","ipdsId":"IP-053916","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":346337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Brooks Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -167.2998046875,\n              66.87834504307976\n            ],\n            [\n              -141,\n              66.87834504307976\n            ],\n            [\n              -141,\n              71.71888229713917\n            ],\n            [\n              -167.2998046875,\n              71.71888229713917\n            ],\n            [\n              -167.2998046875,\n              66.87834504307976\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"110","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-24","publicationStatus":"PW","scienceBaseUri":"59d3502ae4b05fe04cc34d73","contributors":{"authors":[{"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":711689,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selby, David","contributorId":193460,"corporation":false,"usgs":false,"family":"Selby","given":"David","email":"","affiliations":[],"preferred":false,"id":711690,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dumoulin, Julie A. 0000-0003-1754-1287 dumoulin@usgs.gov","orcid":"https://orcid.org/0000-0003-1754-1287","contributorId":203209,"corporation":false,"usgs":true,"family":"Dumoulin","given":"Julie","email":"dumoulin@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":711691,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171513,"text":"70171513 - 2015 - Oceanic and atmospheric forcing of Larsen C Ice-Shelf thinning","interactions":[],"lastModifiedDate":"2016-06-02T11:35:15","indexId":"70171513","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3554,"text":"The Cryosphere","active":true,"publicationSubtype":{"id":10}},"title":"Oceanic and atmospheric forcing of Larsen C Ice-Shelf thinning","docAbstract":"<p><span>The catastrophic collapses of Larsen A and B ice shelves on the eastern Antarctic Peninsula have caused their tributary glaciers to accelerate, contributing to sea-level rise and freshening the Antarctic Bottom Water formed nearby. The surface of Larsen C Ice Shelf (LCIS), the largest ice shelf on the peninsula, is lowering. This could be caused by unbalanced ocean melting (ice loss) or enhanced firn melting and compaction (englacial air loss). Using a novel method to analyse eight radar surveys, this study derives separate estimates of ice and air thickness changes during a 15-year period. The uncertainties are considerable, but the primary estimate is that the surveyed lowering (0.066 &plusmn; 0.017 m yr</span><span>&minus;1</span><span>) is caused by both ice loss (0.28 &plusmn; 0.18 m yr</span><span>&minus;1</span><span>) and firn-air loss (0.037 &plusmn; 0.026 m yr</span><span>&minus;1</span><span>). The ice loss is much larger than the air loss, but both contribute approximately equally to the lowering because the ice is floating. The ice loss could be explained by high basal melting and/or ice divergence, and the air loss by low surface accumulation or high surface melting and/or compaction. The primary estimate therefore requires that at least two forcings caused the surveyed lowering. Mechanisms are discussed by which LCIS stability could be compromised in the future. The most rapid pathways to collapse are offered by the ungrounding of LCIS from Bawden Ice Rise or ice-front retreat past a \"compressive arch\" in strain rates. Recent evidence suggests that either mechanism could pose an imminent risk.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/tc-9-1005-2015","usgsCitation":"Holland, P.R., Brisbourne, A., Corr, H.F., Mcgrath, D., Purdon, K., Paden, J., Fricker, H.A., Paolo, F.S., and Fleming, A., 2015, Oceanic and atmospheric forcing of Larsen C Ice-Shelf thinning: The Cryosphere, v. 9, p. 1005-1024, https://doi.org/10.5194/tc-9-1005-2015.","productDescription":"20 p.","startPage":"1005","endPage":"1024","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061744","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":472401,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/tc-9-1005-2015","text":"Publisher Index Page"},{"id":322088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctic Peninsula","volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-13","publicationStatus":"PW","scienceBaseUri":"575158b7e4b053f0edd03c77","contributors":{"authors":[{"text":"Holland, P. R.","contributorId":169934,"corporation":false,"usgs":false,"family":"Holland","given":"P.","email":"","middleInitial":"R.","affiliations":[{"id":25631,"text":"British Antarctic Survey","active":true,"usgs":false}],"preferred":false,"id":631553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brisbourne, A.","contributorId":169935,"corporation":false,"usgs":false,"family":"Brisbourne","given":"A.","email":"","affiliations":[{"id":25631,"text":"British Antarctic Survey","active":true,"usgs":false}],"preferred":false,"id":631554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corr, H. F. J.","contributorId":68214,"corporation":false,"usgs":true,"family":"Corr","given":"H.","email":"","middleInitial":"F. J.","affiliations":[],"preferred":false,"id":631555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcgrath, Daniel 0000-0002-9462-6842 dmcgrath@usgs.gov","orcid":"https://orcid.org/0000-0002-9462-6842","contributorId":145635,"corporation":false,"usgs":true,"family":"Mcgrath","given":"Daniel","email":"dmcgrath@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":631552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Purdon, K.","contributorId":169937,"corporation":false,"usgs":false,"family":"Purdon","given":"K.","email":"","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":631556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paden, J.","contributorId":169978,"corporation":false,"usgs":false,"family":"Paden","given":"J.","affiliations":[],"preferred":false,"id":631692,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fricker, H. A.","contributorId":169979,"corporation":false,"usgs":false,"family":"Fricker","given":"H.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":631693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paolo, F. S.","contributorId":169980,"corporation":false,"usgs":false,"family":"Paolo","given":"F.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":631694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fleming, A.H.","contributorId":43529,"corporation":false,"usgs":true,"family":"Fleming","given":"A.H.","email":"","affiliations":[],"preferred":false,"id":631695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70195960,"text":"70195960 - 2015 - Potential role of acetyl-CoA synthetase (acs) and malate dehydrogenase (mae) in the evolution of the acetate switch in Bacteria and Archaea","interactions":[],"lastModifiedDate":"2018-03-09T15:33:59","indexId":"70195960","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Potential role of acetyl-CoA synthetase (<i>acs</i>) and malate dehydrogenase (<i>mae</i>) in the evolution of the acetate switch in <i>Bacteria</i> and <i>Archaea</i>","title":"Potential role of acetyl-CoA synthetase (acs) and malate dehydrogenase (mae) in the evolution of the acetate switch in Bacteria and Archaea","docAbstract":"Although many Archaea have AMP-Acs (acetyl-coenzyme A synthetase) and ADP-Acs, the extant methanogenic genus Methanosarcina is the only identified Archaeal genus that can utilize acetate via acetate kinase (Ack) and phosphotransacetylase (Pta). Despite the importance of ack as the potential urkinase in the ASKHA phosphotransferase superfamily, an origin hypothesis does not exist for the acetate kinase in Bacteria, Archaea, or Eukarya. Here we demonstrate that Archaeal AMP-Acs and ADP-Acs contain paralogous ATPase motifs previously identified in Ack, which demonstrate a novel relation between these proteins in Archaea. The identification of ATPase motif conservation and resulting structural features in AMP- and ADP-acetyl-CoA synthetase proteins in this study expand the ASKHA superfamily to include acetyl-CoA synthetase. Additional phylogenetic analysis showed that Pta and MaeB sequences had a common ancestor, and that the Pta lineage within the halophilc archaea was an ancestral lineage. These results suggested that divergence of a duplicated maeB within an ancient halophilic, archaeal lineage formed a putative pta ancestor. These results provide a potential scenario for the establishment of the Ack/Pta pathway and provide novel insight into the evolution of acetate metabolism for all three domains of life.","language":"English","publisher":"Nature","doi":"10.1038/srep12498","usgsCitation":"Barnhart, E.P., McClure, M.A., Johnson, K., Cleveland, S., Hunt, K.A., and Fields, M.W., 2015, Potential role of acetyl-CoA synthetase (acs) and malate dehydrogenase (mae) in the evolution of the acetate switch in Bacteria and Archaea: Scientific Reports, v. 5, p. 1-10, https://doi.org/10.1038/srep12498.","productDescription":"Article number: 12498; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-057052","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":472412,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/srep12498","text":"Publisher Index Page"},{"id":352386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-03","publicationStatus":"PW","scienceBaseUri":"5afeebeee4b0da30c1bfc698","contributors":{"authors":[{"text":"Barnhart, Elliott P. 0000-0002-8788-8393 epbarnhart@usgs.gov","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":5385,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","email":"epbarnhart@usgs.gov","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":730701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClure, Marcella A.","contributorId":203226,"corporation":false,"usgs":false,"family":"McClure","given":"Marcella","email":"","middleInitial":"A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Kiki","contributorId":203227,"corporation":false,"usgs":false,"family":"Johnson","given":"Kiki","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cleveland, Sean","contributorId":203228,"corporation":false,"usgs":false,"family":"Cleveland","given":"Sean","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Kristopher A.","contributorId":203229,"corporation":false,"usgs":false,"family":"Hunt","given":"Kristopher","email":"","middleInitial":"A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":730705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":730706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}