{"pageNumber":"1577","pageRowStart":"39400","pageSize":"25","recordCount":184553,"records":[{"id":70043864,"text":"70043864 - 2012 - A national geographic framework for guiding conservation on a landscape scale","interactions":[],"lastModifiedDate":"2013-02-26T13:22:11","indexId":"70043864","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A national geographic framework for guiding conservation on a landscape scale","docAbstract":"The U.S. Fish and Wildlife Service, along with the global conservation community, has recognized that the conservation challenges of the 21st century far exceed the responsibilities and footprint of any individual agency or program. The ecological effects of climate change and other anthropogenic stressors do not recognize geopolitical boundaries and, as such, demand a national geographic framework to provide structure for cross-jurisdictional and landscape-scale conservation strategies. In 2009, a new map of ecologically based conservation regions in which to organize capacity and implement strategic habitat conservation was developed using rapid prototyping and expert elicitation by an interagency team of U.S. Fish and Wildlife Service and U.S. Geological Survey scientists and conservation professionals. Incorporating Bird Conservation Regions, Freshwater Ecoregions, and U.S. Geological Survey hydrologic unit codes, the new geographic framework provides a spatial template for building conservation capacity and focusing biological planning and conservation design efforts. The Department of Interior's Landscape Conservation Cooperatives are being organized in these new conservation regions as multi-stakeholder collaborations for improved conservation science and management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Fish and Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Arlington, VA","doi":"10.3996/052011-JFWM-030","usgsCitation":"Millard, M.J., Czarnecki, C.A., Morton, J.M., Brandt, L., Briggs, J., Shipley, F.S., Sayre, R.G., Sponholtz, P.J., Perkins, D., Simpkins, D.G., and Taylor, J., 2012, A national geographic framework for guiding conservation on a landscape scale: Journal of Fish and Wildlife Management, v. 3, no. 1, p. 175-183, https://doi.org/10.3996/052011-JFWM-030.","productDescription":"9 p.","startPage":"175","endPage":"183","ipdsId":"IP-029673","costCenters":[{"id":529,"text":"Pacific Southwest Regional Executive Office","active":false,"usgs":true}],"links":[{"id":268390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3996/052011-JFWM-030"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"3","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4a22e4b0b290850ef964","contributors":{"authors":[{"text":"Millard, Michael J.","contributorId":23411,"corporation":false,"usgs":false,"family":"Millard","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":474333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Czarnecki, Craig A.","contributorId":73086,"corporation":false,"usgs":true,"family":"Czarnecki","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, John M.","contributorId":17097,"corporation":false,"usgs":true,"family":"Morton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":474332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Jennifer S.","contributorId":101167,"corporation":false,"usgs":true,"family":"Briggs","given":"Jennifer S.","affiliations":[],"preferred":false,"id":474337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shipley, Frank S. frank_shipley@usgs.gov","contributorId":3804,"corporation":false,"usgs":true,"family":"Shipley","given":"Frank","email":"frank_shipley@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":474329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sayre, Roger G. rsayre@usgs.gov","contributorId":2882,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":false,"id":474328,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sponholtz, Pamela J.","contributorId":51176,"corporation":false,"usgs":true,"family":"Sponholtz","given":"Pamela","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474334,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, David","contributorId":102357,"corporation":false,"usgs":true,"family":"Perkins","given":"David","affiliations":[],"preferred":false,"id":474338,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simpkins, Darin G.","contributorId":10892,"corporation":false,"usgs":true,"family":"Simpkins","given":"Darin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":474330,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Taylor, Janith","contributorId":66832,"corporation":false,"usgs":true,"family":"Taylor","given":"Janith","affiliations":[],"preferred":false,"id":474335,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70045898,"text":"70045898 - 2012 - Mineral resource of the month: tungsten","interactions":[],"lastModifiedDate":"2013-07-12T12:58:33","indexId":"70045898","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: tungsten","docAbstract":"The article offers information on tungsten. It says that tungsten is a metal found in chemical compounds such as in the scheelite and ore minerals wolframite. It states that tungsten has the highest melting point and it forms a compound as hard as diamond when combined with carbon. It states that tungsten can be used as a substitute for lead in fishing weights, ammunition, and hunting shot. Moreover, China started to export tungsten materials and products instead of tungsten raw materials.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Earth","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGI","usgsCitation":"Shedd, K.B., 2012, Mineral resource of the month: tungsten: Earth, v. 57, no. 9, p. 57-57.","productDescription":"1 p.","startPage":"57","endPage":"57","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":272080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"518b73f4e4b0037667dbc8b9","contributors":{"authors":[{"text":"Shedd, Kim B. kshedd@usgs.gov","contributorId":2896,"corporation":false,"usgs":true,"family":"Shedd","given":"Kim","email":"kshedd@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":478503,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044181,"text":"70044181 - 2012 - Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","interactions":[],"lastModifiedDate":"2013-06-18T15:26:00","indexId":"70044181","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin","docAbstract":"To determine kinetic parameters of sulfate reduction by hydrocarbons (HC) without the initial presence of low valence sulfur, we carried out a series of isothermal gold-tube hydrous-pyrolysis experiments at 320, 340, and 360 °C under a constant confined pressure of 24.1 MPa. The reactants used consisted of saturated HC (sulfur-free) and CaSO<sub>4</sub> in an aqueous solution buffered to three different pH conditions without the addition of elemental sulfur (S<sub>8</sub>) or H<sub>2</sub>S as initiators. H<sub>2</sub>S produced in the course of reaction was proportional to the extent of the reduction of CaSO<sub>4</sub> that was initially the only sulfur-containing reactant. Our results show that the in situ pH of the aqueous solution (herein, in situ pH refers to the calculated pH value of the aqueous solution at certain experimental conditions) can significantly affect the rate of the thermochemical sulfate reduction (TSR) reaction. A substantial increase in the TSR reaction rate was observed with a decrease in the in situ pH.\n\nOur experimental results show that uncatalyzed TSR is a first-order reaction. The temperature dependence of experimentally measured H<sub>2</sub>S yields from sulfate reduction was fit with the Arrhenius equation. The determined activation energy for HC (sulfur-free) reacting with View the MathML sourceHSO<sub>4</sub><sup>−</sup> in our experiments is 246.6 kJ/mol at pH values ranging from 3.0 to 3.5, which is slightly higher than the theoretical value of 227.0 kJ/mol using ab initio quantum chemical calculations on a similar reaction. Although the availability of reactive sulfate significantly affects the rate of reaction, a consistent rate constant was determined by accounting for the HSO<sub>4</sub><sup>−</sup> ion concentration. Our experimental and theoretical approach to the determination of the kinetics of TSR is further validated by a reevaluation of several published experimental TSR datasets without the initial presence of native sulfur or H<sub>2</sub>S. When the effect of reactive sulfate concentration is appropriately accounted for, the published experimental TSR data yield kinetic parameters that are consistent with our values. Assuming MgSO<sub>4</sub> contact-ion-pair ([MgSO<sub>4</sub>]CIP) as the reactive form of sulfate in petroleum reservoir formation waters, a simple extrapolation of our experimentally derived HSO<sub>4</sub><sup>−</sup> reduction kinetics as a proxy for [MgSO<sub>4</sub>]CIP to geologically reasonable conditions predicts onset temperatures (130–140 °C) that are comparable to those observed in nature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.08.010","usgsCitation":"Zhang, T., Ellis, G.S., Ma, Q., Amrani, A., and Tang, Y., 2012, Kinetics of uncatalyzed thermochemical sulfate reduction by sulfur-free paraffin: Geochimica et Cosmochimica Acta, v. 96, p. 1-17, https://doi.org/10.1016/j.gca.2012.08.010.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-033954","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2012.08.010"}],"volume":"96","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c18167e4b0dd0e00d921db","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":107595,"corporation":false,"usgs":true,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":475034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ma, Qisheng","contributorId":35219,"corporation":false,"usgs":true,"family":"Ma","given":"Qisheng","email":"","affiliations":[],"preferred":false,"id":475031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amrani, Alon","contributorId":49258,"corporation":false,"usgs":true,"family":"Amrani","given":"Alon","email":"","affiliations":[],"preferred":false,"id":475032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475033,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044180,"text":"70044180 - 2012 - Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques","interactions":[],"lastModifiedDate":"2013-06-12T13:49:42","indexId":"70044180","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques","docAbstract":"Compound-specific carbon and hydrogen isotopic compositions of three natural gas round robins were calibrated by ten laboratories carrying out more than 800 measurements including both on-line and off-line methods. Two-point calibrations were performed with international measurement standards for hydrogen isotope ratios (VSMOW and SLAP) and carbon isotope ratios (NBS 19 and L-SVEC CO<sub>2</sub>). The consensus δ<sup>13</sup>C values and uncertainties were derived from the Maximum Likelihood Estimation (MLE) based on off-line measurements; the consensus δ<sup>2</sup>H values and uncertainties were derived from MLE of both off-line and on-line measurements, taking the bias of on-line measurements into account. The calibrated consensus values in ‰ relative to VSMOW and VPDB are:\n\n    NG1 (coal-related gas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 185.1‰ ± 1.2‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 34.18‰ ± 0.10‰\n\n        Ethane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 156.3‰ ± 1.8‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 24.66‰ ± 0.11‰\n\n        Propane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 143.6‰ ± 3.3‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 22.21‰ ± 0.11‰\n\n        i-Butane: δ<sup>13</sup>C<sub>VPDB</sub> = − 21.62‰ ± 0.12‰\n\n        n-Butane: δ<sup>13</sup>C<sub>VPDB</sub> = − 21.74‰ ± 0.13‰\n\n        CO2: δ<sup>13</sup>C<sub>VPDB</sub> = − 5.00‰ ± 0.12‰\n\n    NG2 (biogas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 237.0‰ ± 1.2‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 68.89‰ ± 0.12‰\n\n    NG3 (oil-related gas):\n\n        Methane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 167.6‰ ± 1.0‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 43.61‰ ± 0.09‰\n\n        Ethane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 164.1‰ ± 2.4‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 40.24‰ ± 0.10‰\n\n        Propane: δ<sup>2</sup>H<sub>VSMOW</sub> = − 138.4‰ ± 3.0‰, δ<sup>13</sup>C<sub>VPDB</sub> = − 33.79‰ ± 0.09‰\n\nAll of the assigned values are traceable to the international carbon isotope standard of VPDB and hydrogen isotope standard of VSMOW.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Chemical Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2012.03.008","usgsCitation":"Dai, J., Xia, X., Li, Z., Coleman, D.D., Dias, R.F., Gao, L., Li, J., Deev, A., Li, J., Dessort, D., Duclerc, D., Li, L., Liu, J., Schloemer, S., Zhang, W., Ni, Y., Hu, G., Wang, X., and Tang, Y., 2012, Inter-laboratory calibration of natural gas round robins for δ<sup>2</sup>H and δ<sup>13</sup>C using off-line and on-line techniques: Chemical Geology, v. 310-311, p. 49-55, https://doi.org/10.1016/j.chemgeo.2012.03.008.","productDescription":"7 p.","startPage":"49","endPage":"55","ipdsId":"IP-033612","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273649,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273645,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chemgeo.2012.03.008"}],"volume":"310-311","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b99867e4b07b9df6070f8a","contributors":{"authors":[{"text":"Dai, Jinxing","contributorId":19066,"corporation":false,"usgs":true,"family":"Dai","given":"Jinxing","email":"","affiliations":[],"preferred":false,"id":475014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xia, Xinyu","contributorId":54494,"corporation":false,"usgs":true,"family":"Xia","given":"Xinyu","email":"","affiliations":[],"preferred":false,"id":475016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Zhisheng","contributorId":62505,"corporation":false,"usgs":true,"family":"Li","given":"Zhisheng","email":"","affiliations":[],"preferred":false,"id":475018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coleman, Dennis D.","contributorId":65750,"corporation":false,"usgs":true,"family":"Coleman","given":"Dennis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":475020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dias, Robert F. rfdias@usgs.gov","contributorId":3746,"corporation":false,"usgs":true,"family":"Dias","given":"Robert","email":"rfdias@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":475011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gao, Ling","contributorId":60522,"corporation":false,"usgs":true,"family":"Gao","given":"Ling","email":"","affiliations":[],"preferred":false,"id":475017,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Jian","contributorId":89433,"corporation":false,"usgs":true,"family":"Li","given":"Jian","email":"","affiliations":[],"preferred":false,"id":475024,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Deev, Andrei","contributorId":17124,"corporation":false,"usgs":true,"family":"Deev","given":"Andrei","email":"","affiliations":[],"preferred":false,"id":475013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Jin","contributorId":105203,"corporation":false,"usgs":true,"family":"Li","given":"Jin","email":"","affiliations":[],"preferred":false,"id":475028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dessort, Daniel","contributorId":92152,"corporation":false,"usgs":true,"family":"Dessort","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":475025,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Duclerc, Dominique","contributorId":69448,"corporation":false,"usgs":true,"family":"Duclerc","given":"Dominique","email":"","affiliations":[],"preferred":false,"id":475022,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Li, Liwu","contributorId":96572,"corporation":false,"usgs":true,"family":"Li","given":"Liwu","email":"","affiliations":[],"preferred":false,"id":475026,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Liu, Jinzhong","contributorId":66155,"corporation":false,"usgs":true,"family":"Liu","given":"Jinzhong","email":"","affiliations":[],"preferred":false,"id":475021,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schloemer, Stefan","contributorId":62506,"corporation":false,"usgs":true,"family":"Schloemer","given":"Stefan","email":"","affiliations":[],"preferred":false,"id":475019,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhang, Wenlong","contributorId":88250,"corporation":false,"usgs":true,"family":"Zhang","given":"Wenlong","email":"","affiliations":[],"preferred":false,"id":475023,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ni, Yunyan","contributorId":35628,"corporation":false,"usgs":true,"family":"Ni","given":"Yunyan","email":"","affiliations":[],"preferred":false,"id":475015,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Hu, Guoyi","contributorId":105997,"corporation":false,"usgs":true,"family":"Hu","given":"Guoyi","affiliations":[],"preferred":false,"id":475029,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wang, Xiaobo","contributorId":15917,"corporation":false,"usgs":true,"family":"Wang","given":"Xiaobo","email":"","affiliations":[],"preferred":false,"id":475012,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tang, Yongchun","contributorId":103166,"corporation":false,"usgs":true,"family":"Tang","given":"Yongchun","affiliations":[],"preferred":false,"id":475027,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70043544,"text":"70043544 - 2012 - Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges","interactions":[],"lastModifiedDate":"2013-04-09T14:02:06","indexId":"70043544","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2199,"text":"Journal of Bridge Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges","docAbstract":"The earthquake engineering profession is increasingly utilizing nonlinear response history analyses (RHA) to evaluate seismic performance of existing structures and proposed designs of new structures. One of the main ingredients of nonlinear RHA is a set of ground motion records representing the expected hazard environment for the structure. When recorded motions do not exist (as is the case in the central United States) or when high-intensity records are needed (as is the case in San Francisco and Los Angeles), ground motions from other tectonically similar regions need to be selected and scaled. The modal-pushover-based scaling (MPS) procedure was recently developed to determine scale factors for a small number of records such that the scaled records provide accurate and efficient estimates of “true” median structural responses. The adjective “accurate” refers to the discrepancy between the benchmark responses and those computed from the MPS procedure. The adjective “efficient” refers to the record-to-record variability of responses. In this paper, the accuracy and efficiency of the MPS procedure are evaluated by applying it to four types of existing Ordinary Standard bridges typical of reinforced concrete bridge construction in California. These bridges are the single-bent overpass, multi-span bridge, curved bridge, and skew bridge. As compared with benchmark analyses of unscaled records using a larger catalog of ground motions, it is demonstrated that the MPS procedure provided an accurate estimate of the engineering demand parameters (EDPs) accompanied by significantly reduced record-to-record variability of the EDPs. Thus, it is a useful tool for scaling ground motions as input to nonlinear RHAs of Ordinary Standard bridges.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Bridge Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)BE.1943-5592.0000259","usgsCitation":"Kalkan, E., and Kwong, N., 2012, Assessment of modal-pushover-based scaling procedure for nonlinear response history analysis of ordinary standard bridges: Journal of Bridge Engineering, v. 17, no. 2, p. 1223-1242, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000259.","productDescription":"20 p.","startPage":"1223","endPage":"1242","ipdsId":"IP-026102","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":270703,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)BE.1943-5592.0000259"},{"id":270704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51653865e4b077fa94dadf7d","contributors":{"authors":[{"text":"Kalkan, E. 0000-0002-9138-9407","orcid":"https://orcid.org/0000-0002-9138-9407","contributorId":8212,"corporation":false,"usgs":true,"family":"Kalkan","given":"E.","affiliations":[],"preferred":false,"id":473816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwong, N.","contributorId":52062,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","affiliations":[],"preferred":false,"id":473817,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045156,"text":"70045156 - 2012 - 2014 Update of the United States National Seismic Hazard Maps","interactions":[],"lastModifiedDate":"2013-06-17T20:43:51","indexId":"70045156","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"2014 Update of the United States National Seismic Hazard Maps","docAbstract":"The U.S. National Seismic Hazard Maps are revised every six years, corresponding with the update cycle of the International Building Code. These maps cover the conterminous U.S. and will be updated in 2014 using the best-available science that is obtained from colleagues at regional and topical workshops, which are convened in 2012-2013. Maps for Alaska and Hawaii will be updated shortly following this update. Alternative seismic hazard models discussed at the workshops will be implemented in a logic tree framework and will be used to develop the seismic hazard maps and associated products. In this paper we describe the plan to update the hazard maps, the issues raised in workshops up to March 2012, and topics that will be discussed at future workshops. An advisory panel will guide the development of the hazard maps and ensure that the maps are acceptable to a broad segment of the science and engineering communities. These updated maps will then be considered by end-users for inclusion in building codes, risk models, and public policy documents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IAEE","publisherLocation":"Tokyo, Japan","usgsCitation":"Petersen, M., Mueller, C., Haller, K.M., Moschetti, M., Harmsen, S.C., Field, E.H., Rukstales, K., Zeng, Y., Perkins, D.M., Powers, P., Rezaeian, S., Luco, N., Olsen, A., and Williams, R., 2012, 2014 Update of the United States National Seismic Hazard Maps, <i>in</i> Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28, v. 15, 8 p.","productDescription":"8 p.","ipdsId":"IP-037889","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":270556,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273878,"type":{"id":15,"text":"Index Page"},"url":"https://www.nicee.org/wcee/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,18.9 ], [ 172.5,71.4 ], [ -66.9,71.4 ], [ -66.9,18.9 ], [ 172.5,18.9 ] ] ] } } ] }","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f5fe4b0803bd2eec50b","contributors":{"authors":[{"text":"Petersen, M.D.","contributorId":51319,"corporation":false,"usgs":false,"family":"Petersen","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":476952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, C.S.","contributorId":45310,"corporation":false,"usgs":true,"family":"Mueller","given":"C.S.","email":"","affiliations":[],"preferred":false,"id":476951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haller, K. M.","contributorId":104073,"corporation":false,"usgs":true,"family":"Haller","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moschetti, M.","contributorId":88253,"corporation":false,"usgs":true,"family":"Moschetti","given":"M.","email":"","affiliations":[],"preferred":false,"id":476958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harmsen, S. C.","contributorId":59039,"corporation":false,"usgs":true,"family":"Harmsen","given":"S.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":476953,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Field, E. H.","contributorId":86915,"corporation":false,"usgs":true,"family":"Field","given":"E.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rukstales, K.S.","contributorId":98799,"corporation":false,"usgs":true,"family":"Rukstales","given":"K.S.","email":"","affiliations":[],"preferred":false,"id":476959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zeng, Y.","contributorId":23759,"corporation":false,"usgs":true,"family":"Zeng","given":"Y.","email":"","affiliations":[],"preferred":false,"id":476948,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perkins, D. M.","contributorId":83922,"corporation":false,"usgs":true,"family":"Perkins","given":"D.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476955,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Powers, P.","contributorId":81782,"corporation":false,"usgs":true,"family":"Powers","given":"P.","affiliations":[],"preferred":false,"id":476954,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rezaeian, S.","contributorId":84627,"corporation":false,"usgs":true,"family":"Rezaeian","given":"S.","affiliations":[],"preferred":false,"id":476956,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":476949,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Olsen, A.","contributorId":35630,"corporation":false,"usgs":true,"family":"Olsen","given":"A.","email":"","affiliations":[],"preferred":false,"id":476950,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, R.","contributorId":7686,"corporation":false,"usgs":true,"family":"Williams","given":"R.","affiliations":[],"preferred":false,"id":476947,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70045155,"text":"70045155 - 2012 - Example applications of a stochastic gound motion simulation methodology in strutural engineering","interactions":[],"lastModifiedDate":"2013-04-03T23:04:03","indexId":"70045155","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Example applications of a stochastic gound motion simulation methodology in strutural engineering","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IAEE","publisherLocation":"Tokyo, Japan","usgsCitation":"Rezaeian, S., and Luco, N., 2012, Example applications of a stochastic gound motion simulation methodology in strutural engineering, <i>in</i> Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28, v. 15, Paper No. 2544.","productDescription":"Paper No. 2544","ipdsId":"IP-037891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":270558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f66e4b0803bd2eec52c","contributors":{"authors":[{"text":"Rezaeian, S.","contributorId":84627,"corporation":false,"usgs":true,"family":"Rezaeian","given":"S.","affiliations":[],"preferred":false,"id":476946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, N.","contributorId":34240,"corporation":false,"usgs":true,"family":"Luco","given":"N.","email":"","affiliations":[],"preferred":false,"id":476945,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045757,"text":"70045757 - 2012 - Habitat use and movement patterns of Northern Pintails during spring in northern Japan: the importance of agricultural lands","interactions":[],"lastModifiedDate":"2018-07-14T13:52:16","indexId":"70045757","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat use and movement patterns of Northern Pintails during spring in northern Japan: the importance of agricultural lands","docAbstract":"From 2006 to 2009, we marked 198 Northern Pintails (Anas acuta) with satellite transmitters on their wintering areas in Japan to study their migration routes and habitat use in spring staging areas. We hypothesized that the distribution of pintails during spring staging was influenced by patterns of land use and expected that the most frequently used areas would have more agricultural habitat than lesser-used areas. We obtained 3031 daily locations from 163 migrant pintails marked with satellite transmitters and identified 524 stopover sites. Based on a fixed kernel home range analysis of stopover utilization distribution (UD), core staging areas (areas within the 50% UD) were identified in northern Honshu and western Hokkaido, and were used by 71% of marked pintails. Core staging areas had a greater proportion of rice fields than peripheral (51–95% UD) and rarely used (outside the 95% UD) staging areas. Stopover sites also contained more rice fields and other agricultural land than were available at regional scales, indicating that pintails selected rice and other agricultural habitats at regional and local scales. Pintails remained at spring staging areas an average of 51 d. Prolonged staging in agricultural habitats of northern Japan was likely necessary for pintails to prepare for transoceanic migration to Arctic nesting areas in eastern Russia.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Field Ornithology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1557-9263.2012.00364.x","usgsCitation":"Yamaguchi, N.M., Hupp, J.W., Flint, P.L., Pearce, J.M., Shigeta, Y., Shimada, T., Hiraoka, E.N., and Higuchi, H., 2012, Habitat use and movement patterns of Northern Pintails during spring in northern Japan: the importance of agricultural lands: Journal of Field Ornithology, v. 83, no. 2, p. 141-153, https://doi.org/10.1111/j.1557-9263.2012.00364.x.","productDescription":"13 p.","startPage":"141","endPage":"153","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":271756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271755,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1557-9263.2012.00364.x"}],"country":"Japan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 122.93,24.0 ], [ 122.93,45.52 ], [ 153.99,45.52 ], [ 153.99,24.0 ], [ 122.93,24.0 ] ] ] } } ] }","volume":"83","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-05-25","publicationStatus":"PW","scienceBaseUri":"51838aeae4b0a21483941ab2","contributors":{"authors":[{"text":"Yamaguchi, Noriyuki M.","contributorId":55308,"corporation":false,"usgs":true,"family":"Yamaguchi","given":"Noriyuki","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":478305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupp, Jerry W. 0000-0002-6439-3910 jhupp@usgs.gov","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":127803,"corporation":false,"usgs":true,"family":"Hupp","given":"Jerry","email":"jhupp@usgs.gov","middleInitial":"W.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":478301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":478302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":478300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shigeta, Yusuke","contributorId":9151,"corporation":false,"usgs":true,"family":"Shigeta","given":"Yusuke","email":"","affiliations":[],"preferred":false,"id":478303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shimada, Tetsuo","contributorId":52065,"corporation":false,"usgs":true,"family":"Shimada","given":"Tetsuo","email":"","affiliations":[],"preferred":false,"id":478304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hiraoka, Emiko N.","contributorId":75043,"corporation":false,"usgs":true,"family":"Hiraoka","given":"Emiko","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":478307,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Higuchi, Hiroyoshi","contributorId":69850,"corporation":false,"usgs":true,"family":"Higuchi","given":"Hiroyoshi","email":"","affiliations":[],"preferred":false,"id":478306,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044166,"text":"70044166 - 2012 - Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","interactions":[],"lastModifiedDate":"2016-04-25T12:30:56","indexId":"70044166","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting","docAbstract":"<p><span>Biotic response of calcareous nannoplankton to abrupt warming across the Paleocene/Eocene boundary reflects a primary response to climatically induced parameters including increased continental runoff of freshwater, global acidification of seawater, high sedimentation rates, and calcareous nannoplankton assemblage turnover. We identify ecophenotypic nannofossil species adapted to low pH conditions (</span><i>Discoaster anartios, D. araneus, Rhomboaster</i><span>&nbsp;spp.), excursion taxa adapted to the extremely warm climatic conditions (</span><i>Bomolithus supremus</i><span>&nbsp;and&nbsp;</span><i>Coccolithus bownii</i><span>), three species of the genus&nbsp;</span><i>Toweius</i><span>&nbsp;(</span><i>T. serotinus, T. callosus, T. occultatus</i><span>) adapted to warm, rather than cool, water conditions, opportunists adapted to high productivity conditions (</span><i>Coronocyclus bramlettei, Neochiastozygus junctus</i><span>), and species adapted to oligotropic and/or cool‐water conditions that went into refugium during the PETM (</span><i>Zygrablithus bijugatus, Calcidiscus? parvicrucis</i><span>&nbsp;and&nbsp;</span><i>Chiasmolithus bidens</i><span>).&nbsp;</span><i>Discoaster anartios</i><span>&nbsp;was adapted to meso- to eutrophic, rather than oligotrophic, conditions. Comparison of these data to previous work on sediments deposited on shelf settings suggests that local conditions such as high precipitation rates and possible increase in major storms such as hurricanes resulted in increased continental runoff and high sedimentation rates that affected assemblage response to the PETM.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.marmicro.2012.05.003","usgsCitation":"Self-Trail, J.M., Powars, D.S., Watkins, D.K., and Wandless, G.A., 2012, Calcareous nannofossil assemblage changes across the Paleocene-Eocene thermal maximum: Evidence from a shelf setting: Marine Micropaleontology, v. 92-93, p. 61-80, https://doi.org/10.1016/j.marmicro.2012.05.003.","productDescription":"20 p.","startPage":"61","endPage":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-033754","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271290,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92-93","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5173b8e1e4b0e619a5806eae","contributors":{"authors":[{"text":"Self-Trail, Jean M. jstrail@usgs.gov","contributorId":2205,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","middleInitial":"M.","affiliations":[{"id":596,"text":"U.S. Geological Survey National Center","active":false,"usgs":true}],"preferred":false,"id":474960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powars, David S. 0000-0002-6787-8964 dspowars@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":1181,"corporation":false,"usgs":true,"family":"Powars","given":"David","email":"dspowars@usgs.gov","middleInitial":"S.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, David K.","contributorId":91385,"corporation":false,"usgs":true,"family":"Watkins","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":474962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wandless, Gregory A. gwandless@usgs.gov","contributorId":4782,"corporation":false,"usgs":true,"family":"Wandless","given":"Gregory","email":"gwandless@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":474961,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043550,"text":"70043550 - 2012 - Development of polysomic microsatellite markers for characterization of population structuring and phylogeography in the shortnose sturgeon (Acipenser brevirostrum)","interactions":[],"lastModifiedDate":"2013-04-25T08:51:33","indexId":"70043550","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of polysomic microsatellite markers for characterization of population structuring and phylogeography in the shortnose sturgeon (Acipenser brevirostrum)","docAbstract":"Shortnose sturgeon Acipenser brevirostrum is an endangered polyploid fish species for which no nuclear DNA markers previously existed. To address this need, 86 polysomic loci were developed and characterized in 20 A. brevirostrum from five river systems and eight members (parents and six progeny) of a captive-bred family. All markers proved to be polymorphic, polysomic, and demonstrated direct inheritance when tested in a captive family. Eleven loci were included in a range-wide survey of 561 fish sampled from 17 geographic collections. Allelic diversity at these markers ranged from 7 to 24 alleles/locus and averaged 16.5 alleles/locus; sufficient diversity to produce unique multilocus genotypes. In the range-wide survey, a Mantel comparison of an ecological (1-Jaccard’s) and genetic (Φ<sub>PT</sub>; an analog to F<sub>ST</sub>) distance metrics, identified a strong positive correlation (r = 0.98, P < 0.0001); suggesting Φ<sub>PT</sub> represents a viable metric for assessing genetic relatedness using this class of marker.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Conservation Genetics Resources","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s12686-012-9658-x","usgsCitation":"Henderson, A.P., and King, T.L., 2012, Development of polysomic microsatellite markers for characterization of population structuring and phylogeography in the shortnose sturgeon (Acipenser brevirostrum): Conservation Genetics Resources, v. 4, no. 4, p. 853-859, https://doi.org/10.1007/s12686-012-9658-x.","productDescription":"7 p.","startPage":"853","endPage":"859","ipdsId":"IP-037933","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271444,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s12686-012-9658-x"}],"volume":"4","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-05-09","publicationStatus":"PW","scienceBaseUri":"517a5063e4b072c16ef14af2","contributors":{"authors":[{"text":"Henderson, Anne P.","contributorId":29290,"corporation":false,"usgs":true,"family":"Henderson","given":"Anne","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":473818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tim L.","contributorId":48070,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473819,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70045638,"text":"70045638 - 2012 - Industrial garnet","interactions":[],"lastModifiedDate":"2013-04-27T19:55:25","indexId":"70045638","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2755,"text":"Mining Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Industrial garnet","docAbstract":"Garnet has been used as a gemstone since the Bronze Age. However, garnet's angular fractures, relatively high hardness and specific gravity, chemical inertness, and nontoxicity make it ideal for many industrial applications. It is also free of crystalline silica and can be recycled.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Olson, D., 2012, Industrial garnet: Mining Engineering, v. 64, no. 6, p. 64-64.","productDescription":"1 p.","startPage":"64","endPage":"64","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517cf373e4b0d8907b288233","contributors":{"authors":[{"text":"Olson, D.W.","contributorId":82369,"corporation":false,"usgs":true,"family":"Olson","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":477984,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045755,"text":"70045755 - 2012 - Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens","interactions":[],"lastModifiedDate":"2018-07-14T13:45:36","indexId":"70045755","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2498,"text":"Journal of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens","docAbstract":"The key first step in evaluating pathogen levels in suspected contaminated water is concentration. Concentration methods tend to be specific for a particular pathogen group, for example US Environmental Protection Agency Method 1623 for Giardia and Cryptosporidium1, which means multiple methods are required if the sampling program is targeting more than one pathogen group. Another drawback of current methods is the equipment can be complicated and expensive, for example the VIRADEL method with the 1MDS cartridge filter for concentrating viruses2. In this article we describe how to construct glass wool filters for concentrating waterborne pathogens. After filter elution, the concentrate is amenable to a second concentration step, such as centrifugation, followed by pathogen detection and enumeration by cultural or molecular methods. The filters have several advantages. Construction is easy and the filters can be built to any size for meeting specific sampling requirements. The filter parts are inexpensive, making it possible to collect a large number of samples without severely impacting a project budget. Large sample volumes (100s to 1,000s L) can be concentrated depending on the rate of clogging from sample turbidity. The filters are highly portable and with minimal equipment, such as a pump and flow meter, they can be implemented in the field for sampling finished drinking water, surface water, groundwater, and agricultural runoff. Lastly, glass wool filtration is effective for concentrating a variety of pathogen types so only one method is necessary. Here we report on filter effectiveness in concentrating waterborne human enterovirus, Salmonella enterica, Cryptosporidium parvum, and avian influenza virus.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Visualized Experiments","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"JoVE","doi":"10.3791/3930","usgsCitation":"Millen, H.T., Gonnering, J.C., Berg, R.K., Spencer, S., Jokela, W.E., Pearce, J.M., Borchardt, J., and Borchardt, M., 2012, Glass wool filters for concentrating waterborne viruses and agricultural zoonotic pathogens: Journal of Visualized Experiments, v. 61, e3930, https://doi.org/10.3791/3930.","productDescription":"e3930","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":474124,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.3791/3930","text":"External Repository"},{"id":271752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271751,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3791/3930"}],"volume":"61","noUsgsAuthors":false,"publicationDate":"2012-03-03","publicationStatus":"PW","scienceBaseUri":"51838ae9e4b0a21483941aae","contributors":{"authors":[{"text":"Millen, Hana T. htmillen@usgs.gov","contributorId":4017,"corporation":false,"usgs":true,"family":"Millen","given":"Hana","email":"htmillen@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":478290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonnering, Jordan C. jgonneri@usgs.gov","contributorId":5199,"corporation":false,"usgs":true,"family":"Gonnering","given":"Jordan","email":"jgonneri@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":478291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berg, Ryan K.","contributorId":89784,"corporation":false,"usgs":true,"family":"Berg","given":"Ryan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":478295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Susan K.","contributorId":39511,"corporation":false,"usgs":true,"family":"Spencer","given":"Susan K.","affiliations":[],"preferred":false,"id":478293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jokela, William E.","contributorId":32806,"corporation":false,"usgs":true,"family":"Jokela","given":"William","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":478292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":478289,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Jackson S.","contributorId":81388,"corporation":false,"usgs":true,"family":"Borchardt","given":"Jackson S.","affiliations":[],"preferred":false,"id":478294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borchardt, Mark A.","contributorId":106255,"corporation":false,"usgs":true,"family":"Borchardt","given":"Mark A.","affiliations":[],"preferred":false,"id":478296,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70044155,"text":"70044155 - 2012 - Correlation of resource plays and biodiversity patterns: accumulation of organic-rich shale tracks taxonomic turnover","interactions":[],"lastModifiedDate":"2018-12-19T11:03:26","indexId":"70044155","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1717,"text":"GCAGS Journal","active":true,"publicationSubtype":{"id":10}},"title":"Correlation of resource plays and biodiversity patterns: accumulation of organic-rich shale tracks taxonomic turnover","docAbstract":"Similar paleogeographic and paleotectonic settings characterize most self-sourced shale hydrocarbon plays. Their deposition occurred within similar orders of magnitude of eustatic events and during geologic periods characterized by “warm” (or transitional) climates and calcitic seas. In addition, the stratigraphic occurrence of shale plays parallels certain historical patterns of marine metazoan biodiversity. Such strong agreement among several correlation tools elucidates why these resources may be limited to discrete intervals of geological time. Correlation of self-sourced shale with biodiversity trends indicates that the factors controlling the deposition of marine organic matter may not be independent of those that induced taxonomic turnover. Paleoecological changes promoted accumulation and preservation of Type II kerogen. Deposition of self-sourced shale appears to correspond to reductions in absolute biodiversity and declining percentages of bioturbating taxa, with concomitant increases in proportions of pelagic taxa relative to infaunal and epifaunal organisms. Whereas upwelling and anoxia may have contributed to the deposition of kerogen in source rocks throughout much of the sedimentary record, diminished consumption of biomass by benthic metazoans likely augmented the preservation of organic carbon during deposition of this shale type. Rapid tectonic-plate reconfiguration induced coeval events, creating basins with sufficiently high rates of accommodation creation necessary to preserve additional organic material accumulating as the heterotrophic benthos suffered in response to rapidly changing environments. Combining sea-level curves, paleogeography, climate, and seawater chemistry provides a first-order approximation of the distribution of potential self-sourced shale in the geologic record. A model that predicts the stratigraphic distribution of self-sourced-shale deposition can aid in exploration of continuous hydrocarbon accumulations in self-sourced reservoirs globally.","language":"English","publisher":"GCAGS","usgsCitation":"Eoff, J.D., 2012, Correlation of resource plays and biodiversity patterns: accumulation of organic-rich shale tracks taxonomic turnover: GCAGS Journal, v. 1, no. 2012, p. 1-12.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-035672","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":271353,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271352,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcags.org/Journal/GCAGS.Journal.Vol.1.html"}],"volume":"1","issue":"2012","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51765be5e4b0f989f99e00cc","contributors":{"authors":[{"text":"Eoff, Jennifer D. jeoff@usgs.gov","contributorId":3418,"corporation":false,"usgs":true,"family":"Eoff","given":"Jennifer","email":"jeoff@usgs.gov","middleInitial":"D.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":474916,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043553,"text":"70043553 - 2012 - Development of a quantitative assay to measure expression of transforming growth factor ß (TGF-ß) in Lost River sucker (<i>Deltistes luxatus</i>) and shortnose sucker (<i>Chasmistes brevirostris</i>) and evaluation of potential pitfalls in use with field-collected samples","interactions":[],"lastModifiedDate":"2013-03-13T16:01:36","indexId":"70043553","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1653,"text":"Fish and Shellfish Immunology","active":true,"publicationSubtype":{"id":10}},"title":"Development of a quantitative assay to measure expression of transforming growth factor ß (TGF-ß) in Lost River sucker (<i>Deltistes luxatus</i>) and shortnose sucker (<i>Chasmistes brevirostris</i>) and evaluation of potential pitfalls in use with field-collected samples","docAbstract":"The Nature Conservancy is in the process of restoring the Williamson River Delta in an attempt to recreate important juvenile habitat for the endangered shortnose sucker Chasmistes brevirostris and the endangered Lost River sucker Deltistes luxatus. Measurement of TGF-β mRNA expression level was one of the indicators chosen to evaluate juvenile sucker health during the restoration process. TGF-β mRNA expression level has been correlated with disease status in several laboratory studies and TGF-β mRNA expression level has been used as a species-specific indicator of immune status in field-based fish health assessments. We describe here the identification of TGF-β and a possible splice variant from shortnose sucker and from Lost River sucker. The performance of a quantitative RT-PCR assay to measure TGF-β mRNA expression level was evaluated in field-collected spleen and kidney tissue samples. The quality of extracted RNA was higher in tissues harvested in September compared to July and higher in tissues harvested at lower temperature compared to higher temperature. In addition, the expression level of both TGF-β and 18S as assessed by qRT-PCR was higher in samples with higher quality RNA. TGF-β mRNA expression was lower in kidney than in spleen in both Lost River sucker and shortnose sucker.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Fish and Shellfish Immunology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.fsi.2012.02.017","usgsCitation":"Robertson, L.S., Ottinger, C.A., Burdick, S.M., and VanderKooi, S., 2012, Development of a quantitative assay to measure expression of transforming growth factor ß (TGF-ß) in Lost River sucker (<i>Deltistes luxatus</i>) and shortnose sucker (<i>Chasmistes brevirostris</i>) and evaluation of potential pitfalls in use with field-collected samples: Fish and Shellfish Immunology, v. 32, no. 5, p. 890-898, https://doi.org/10.1016/j.fsi.2012.02.017.","productDescription":"9 p.","startPage":"890","endPage":"898","ipdsId":"IP-034878","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":268570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268569,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.fsi.2012.02.017"}],"volume":"32","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51308a84e4b04c194073add1","contributors":{"authors":[{"text":"Robertson, Laura S. lrobertson@usgs.gov","contributorId":2288,"corporation":false,"usgs":true,"family":"Robertson","given":"Laura","email":"lrobertson@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":473822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanderKooi, Scott P.","contributorId":106584,"corporation":false,"usgs":true,"family":"VanderKooi","given":"Scott P.","affiliations":[],"preferred":false,"id":473823,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044506,"text":"70044506 - 2012 - Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010)","interactions":[],"lastModifiedDate":"2013-04-09T15:40:48","indexId":"70044506","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":922,"text":"Atmospheric Chemistry and Physics","active":true,"publicationSubtype":{"id":10}},"title":"Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010)","docAbstract":"In this work, we present the first study resolving the temporal evolution of δ<sup>2</sup>H and δ<sup>18</sup>O values in cloud droplets during 13 different cloud events. The cloud events were probed on a 937 m high mountain chain in Germany in the framework of the Hill Cap Cloud Thuringia 2010 campaign (HCCT-2010) in September and October 2010. The δ values of cloud droplets ranged from −77‰ to −15‰ (δ<sup>2</sup>H) and from −12.1‰ to −3.9‰ (δ<sup>18</sup>O) over the whole campaign. The cloud water line of the measured δ values was δ<sup>2</sup>H=7.8×δ<sup>18</sup>O+13×10−3, which is of similar slope, but with higher deuterium excess than other Central European Meteoric Water Lines. Decreasing δ values in the course of the campaign agree with seasonal trends observed in rain in central Europe. The deuterium excess was higher in clouds developing after recent precipitation revealing episodes of regional moisture recycling. The variations in δ values during one cloud event could either result from changes in meteorological conditions during condensation or from variations in the δ values of the water vapor feeding the cloud. To test which of both aspects dominated during the investigated cloud events, we modeled the variation in δ values in cloud water using a closed box model. We could show that the variation in δ values of two cloud events was mainly due to changes in local temperature conditions. For the other eleven cloud events, the variation was most likely caused by changes in the isotopic composition of the advected and entrained vapor. Frontal passages during two of the latter cloud events led to the strongest temporal changes in both δ<sup>2</sup>H (≈ 6‰ per hour) and δ<sup>18</sup>O (≈ 0.6‰ per hour). Moreover, a detailed trajectory analysis for the two longest cloud events revealed that variations in the entrained vapor were most likely related to rain out or changes in relative humidity and temperature at the moisture source region or both. This study illustrates the sensitivity of stable isotope composition of cloud water to changes in large scale air mass properties and regional recycling of moisture.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Atmospheric Chemistry and Physics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","publisherLocation":"Munich, Germany","doi":"10.5194/acp-12-11679-2012","usgsCitation":"Spiegel, J., Aemisegger, F., Scholl, M., Wienhold, F., Collett, J., Lee, T., van Pinxteren, D., Mertes, S., Tilgner, A., Herrmann, H., Werner, R., Buchmann, N., and Eugster, W., 2012, Temporal evolution of stable water isotopologues in cloud droplets in a hill cap cloud in central Europe (HCCT-2010): Atmospheric Chemistry and Physics, v. 12, no. 23, p. 11679-11694, https://doi.org/10.5194/acp-12-11679-2012.","productDescription":"16 p.","startPage":"11679","endPage":"11694","ipdsId":"IP-042392","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/acp-12-11679-2012","text":"Publisher Index Page"},{"id":270722,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/acp-12-11679-2012"},{"id":270723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -28.0,33.9 ], [ -28.0,72.5 ], [ 74.1,72.5 ], [ 74.1,33.9 ], [ -28.0,33.9 ] ] ] } } ] }","volume":"12","issue":"23","noUsgsAuthors":false,"publicationDate":"2012-12-06","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae01e","contributors":{"authors":[{"text":"Spiegel, J.K.","contributorId":6738,"corporation":false,"usgs":true,"family":"Spiegel","given":"J.K.","email":"","affiliations":[],"preferred":false,"id":475761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aemisegger, F.","contributorId":105614,"corporation":false,"usgs":true,"family":"Aemisegger","given":"F.","email":"","affiliations":[],"preferred":false,"id":475773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, M.","contributorId":32385,"corporation":false,"usgs":true,"family":"Scholl","given":"M.","affiliations":[],"preferred":false,"id":475767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wienhold, F.G.","contributorId":11489,"corporation":false,"usgs":true,"family":"Wienhold","given":"F.G.","email":"","affiliations":[],"preferred":false,"id":475762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, J.L. Jr.","contributorId":42426,"corporation":false,"usgs":true,"family":"Collett","given":"J.L.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":475769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lee, T.","contributorId":91720,"corporation":false,"usgs":true,"family":"Lee","given":"T.","affiliations":[],"preferred":false,"id":475771,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Pinxteren, D.","contributorId":18646,"corporation":false,"usgs":true,"family":"van Pinxteren","given":"D.","email":"","affiliations":[],"preferred":false,"id":475766,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mertes, S.","contributorId":85859,"corporation":false,"usgs":true,"family":"Mertes","given":"S.","email":"","affiliations":[],"preferred":false,"id":475770,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tilgner, A.","contributorId":14276,"corporation":false,"usgs":true,"family":"Tilgner","given":"A.","email":"","affiliations":[],"preferred":false,"id":475765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herrmann, H.","contributorId":12344,"corporation":false,"usgs":true,"family":"Herrmann","given":"H.","email":"","affiliations":[],"preferred":false,"id":475764,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Werner, Roland A.","contributorId":103488,"corporation":false,"usgs":true,"family":"Werner","given":"Roland A.","affiliations":[],"preferred":false,"id":475772,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Buchmann, N.","contributorId":11906,"corporation":false,"usgs":true,"family":"Buchmann","given":"N.","affiliations":[],"preferred":false,"id":475763,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Eugster, W.","contributorId":32701,"corporation":false,"usgs":true,"family":"Eugster","given":"W.","email":"","affiliations":[],"preferred":false,"id":475768,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70042839,"text":"70042839 - 2012 - Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","interactions":[],"lastModifiedDate":"2021-01-05T18:03:09.591392","indexId":"70042839","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta","docAbstract":"Sedimentation in the Sacramento–San Joaquin River Delta builds the Delta landscape, creates benthic and pelagic habitat, and transports sediment-associated contaminants. Here we present a conceptual model of sedimentation that includes submodels for river supply from the watershed to the Delta, regional transport within the Delta and seaward exchange, and local sedimentation in open water and marsh habitats. The model demonstrates feedback loops that affect the Delta ecosystem. Submerged and emergent marsh vegetation act as ecosystem engineers that can create a positive feedback loop by decreasing suspended sediment, increasing water column light, which in turn enables more vegetation. Sea-level rise in open water is partially countered by a negative feedback loop that increases deposition if there is a net decrease in hydrodynamic energy. Manipulation of regional sediment transport is probably the most feasible method to control suspended sediment and thus turbidity. The conceptual model is used to identify information gaps that need to be filled to develop an accurate sediment transport model.","language":"English","publisher":"University of California","doi":"10.15447/sfews.2012v10iss3art3","usgsCitation":"Schoellhamer, D., Wright, S., and Drexler, J., 2012, Conceptual model of sedimentation in the Sacramento-San Joaquin River Delta: San Francisco Estuary and Watershed Science, v. 10, no. 3, 25 p., https://doi.org/10.15447/sfews.2012v10iss3art3.","productDescription":"25 p.","ipdsId":"IP-021663","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2012v10iss3art3","text":"Publisher Index Page"},{"id":381885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.53,37.15 ], [ -123.53,38.85 ], [ -120.83,38.85 ], [ -120.83,37.15 ], [ -123.53,37.15 ] ] ] } } ] }","volume":"10","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-10-22","publicationStatus":"PW","scienceBaseUri":"51751748e4b074c2b05564b0","contributors":{"authors":[{"text":"Schoellhamer, David H. 0000-0001-9488-7340 dschoell@usgs.gov","orcid":"https://orcid.org/0000-0001-9488-7340","contributorId":631,"corporation":false,"usgs":true,"family":"Schoellhamer","given":"David H.","email":"dschoell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drexler, Judith Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":8941,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith Z.","affiliations":[],"preferred":false,"id":472370,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70043697,"text":"70043697 - 2012 - Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","interactions":[],"lastModifiedDate":"2013-04-08T20:39:43","indexId":"70043697","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1768,"text":"Geografiska Annaler, Series A: Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data","docAbstract":"The estimation of ice/snow accumulation is of great significance in quantifying the mass balance of ice sheets and variation in water resources. Improving the accuracy and reducing uncertainty has been a challenge for the estimation of annual accumulation over the Greenland ice sheet. In this study, we kriged and analyzed the spatial pattern of accumulation based on an observation data series including 315 points used in a recent research, plus 101 ice cores and snow pits and newly compiled 23 coastal weather station data. The estimated annual accumulation over the Greenland ice sheet is 31.2 g cm<sup>−2</sup> yr<sup>−1</sup>, with a standard error of 0.9 g cm<sup>−2</sup> yr<sup>−1</sup>. The main differences between the improved map developed in this study and the recently published accumulation maps are in the coastal areas, especially southeast and southwest regions. The analysis of accumulations versus elevation reveals the distribution patterns of accumulation over the Greenland ice sheet.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geografiska Annaler, Series A: Physical Geography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1468-0459.2012.00458.x","usgsCitation":"Shen, D., Liu, Y., and Huang, S., 2012, Annual accumulation over the Greenland ice sheet interpolated from historical and newly compiled observation data: Geografiska Annaler, Series A: Physical Geography, v. 94, no. 3, p. 377-393, https://doi.org/10.1111/j.1468-0459.2012.00458.x.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-031311","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270675,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1468-0459.2012.00458.x"}],"country":"Greenland","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.0,59.8 ], [ -73.0,83.6 ], [ -11.3,83.6 ], [ -11.3,59.8 ], [ -73.0,59.8 ] ] ] } } ] }","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2016-11-15","publicationStatus":"PW","scienceBaseUri":"5163e6e7e4b0b7010f820164","contributors":{"authors":[{"text":"Shen, Dayong","contributorId":71079,"corporation":false,"usgs":true,"family":"Shen","given":"Dayong","email":"","affiliations":[],"preferred":false,"id":474117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Yuling","contributorId":96171,"corporation":false,"usgs":true,"family":"Liu","given":"Yuling","email":"","affiliations":[],"preferred":false,"id":474118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huang, Shengli shuang@usgs.gov","contributorId":1926,"corporation":false,"usgs":true,"family":"Huang","given":"Shengli","email":"shuang@usgs.gov","affiliations":[],"preferred":true,"id":474116,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045079,"text":"70045079 - 2012 - A terrestrial lidar-based workflow for determining three-dimensional slip vectors and associated uncertainties","interactions":[],"lastModifiedDate":"2013-04-06T20:27:16","indexId":"70045079","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","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 terrestrial lidar-based workflow for determining three-dimensional slip vectors and associated uncertainties","docAbstract":"Three-dimensional (3D) slip vectors recorded by displaced landforms are difficult to constrain across complex fault zones, and the uncertainties associated with such measurements become increasingly challenging to assess as landforms degrade over time. We approach this problem from a remote sensing perspective by using terrestrial laser scanning (TLS) and 3D structural analysis. We have developed an integrated TLS data collection and point-based analysis workflow that incorporates accurate assessments of aleatoric and epistemic uncertainties using experimental surveys, Monte Carlo simulations, and iterative site reconstructions. Our scanning workflow and equipment requirements are optimized for single-operator surveying, and our data analysis process is largely completed using new point-based computing tools in an immersive 3D virtual reality environment. In a case study, we measured slip vector orientations at two sites along the rupture trace of the 1954 Dixie Valley earthquake (central Nevada, United States), yielding measurements that are the first direct constraints on the 3D slip vector for this event. These observations are consistent with a previous approximation of net extension direction for this event. We find that errors introduced by variables in our survey method result in <2.5 cm of variability in components of displacement, and are eclipsed by the 10–60 cm epistemic errors introduced by reconstructing the field sites to their pre-erosion geometries. Although the higher resolution TLS data sets enabled visualization and data interactivity critical for reconstructing the 3D slip vector and for assessing uncertainties, dense topographic constraints alone were not sufficient to significantly narrow the wide (<26°) range of allowable slip vector orientations that resulted from accounting for epistemic uncertainties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/GES00714.1","usgsCitation":"Gold, P.O., Cowgill, E., Kreylos, O., and Gold, R.D., 2012, A terrestrial lidar-based workflow for determining three-dimensional slip vectors and associated uncertainties: Geosphere, v. 8, no. 2, p. 431-442, https://doi.org/10.1130/GES00714.1.","productDescription":"12 p.","startPage":"431","endPage":"442","ipdsId":"IP-033951","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges00714.1","text":"Publisher Index Page"},{"id":270613,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270612,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/GES00714.1"}],"volume":"8","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51614bd8e4b022d43fdfaa2b","contributors":{"authors":[{"text":"Gold, Peter O.","contributorId":90188,"corporation":false,"usgs":true,"family":"Gold","given":"Peter","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":476748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cowgill, Eric","contributorId":16290,"corporation":false,"usgs":true,"family":"Cowgill","given":"Eric","affiliations":[],"preferred":false,"id":476747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreylos, Oliver","contributorId":98189,"corporation":false,"usgs":true,"family":"Kreylos","given":"Oliver","email":"","affiliations":[],"preferred":false,"id":476749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043556,"text":"70043556 - 2012 - Impact of thiamine deficiency on T-cell dependent and T-cell independent antibody production in lake trout","interactions":[],"lastModifiedDate":"2017-07-24T12:55:54","indexId":"70043556","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Impact of thiamine deficiency on T-cell dependent and T-cell independent antibody production in lake trout","docAbstract":"Lake trout <i>Salvelinus namaycush</i> on thiamine-replete and thiamine-depleted diets were evaluated for the effects of thiamine status on in vivo responses to the T-dependent antigen trinitophenol (TNP)-keyhole limpet hemocyanin (TNP-KLH), the T-independent antigen trinitrophenol-lipolysaccaharide (TNP-LPS), or Dulbecco's phosphate-buffered saline (DPBS; negative control fish). Plasma antibody concentrations were evaluated for possible differences in total anti-TNP activity as well as differences in response kinetics. Associations between anti-TNP activity and muscle and liver thiamine concentrations as well as ratios of muscle-to-liver thiamine to anti-TNP activity were also examined. Thiamine-depleted lake trout that were injected with TNP-LPS exhibited significantly more anti-TNP activity than thiamine-replete fish. The depleted fish injected with TNP-LPS also exhibited significantly different response kinetics relative to thiamine-replete lake trout. No differences in activity or kinetics were observed between the thiamine-replete and -depleted fish injected with TNP-KLH or in the DPBS negative controls. Anti-TNP activity in thiamine-depleted lake trout injected with TNP-KLH was positively associated with muscle thiamine pyrophosphate (thiamine diphosphate; TPP) concentration. A negative association was observed between the ratio of muscle-to-liver TPP and T-independent responses. No significant associations between anti-TNP activity and tissue thiamine concentration were observed in the thiamine-replete fish. We demonstrated that thiamine deficiency leads to alterations in both T-dependent and T-independent immune responses in lake trout.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Aquatic Animal Health","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/08997659.2012.713890","usgsCitation":"Ottinger, C.A., Honeyfield, D.C., Densmore, C.L., and Iwanowicz, L., 2012, Impact of thiamine deficiency on T-cell dependent and T-cell independent antibody production in lake trout: Journal of Aquatic Animal Health, v. 24, no. 4, p. 258-273, https://doi.org/10.1080/08997659.2012.713890.","productDescription":"16 p.","startPage":"258","endPage":"273","ipdsId":"IP-035463","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":268717,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/08997659.2012.713890"},{"id":268718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-11-07","publicationStatus":"PW","scienceBaseUri":"5135d07be4b03b8ec4025b5c","contributors":{"authors":[{"text":"Ottinger, Christopher A. 0000-0003-2551-1985 cottinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2551-1985","contributorId":2559,"corporation":false,"usgs":true,"family":"Ottinger","given":"Christopher","email":"cottinger@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":473830,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044034,"text":"70044034 - 2012 - Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","interactions":[],"lastModifiedDate":"2013-05-12T21:54:41","indexId":"70044034","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem","docAbstract":"Monitoring of natural resources is crucial to ecosystem conservation, and yet it can pose many challenges. Annual surveys for amphibian breeding occupancy were conducted in Yellowstone and Grand Teton National Parks over a 4-year period (2006–2009) at two scales: catchments (portions of watersheds) and individual wetland sites. Catchments were selected in a stratified random sample with habitat quality and ease of access serving as strata. All known wetland sites with suitable habitat were surveyed within selected catchments. Changes in breeding occurrence of tiger salamanders, boreal chorus frogs, and Columbia-spotted frogs were assessed using multi-season occupancy estimation. Numerous a priori models were considered within an information theoretic framework including those with catchment and site-level covariates. Habitat quality was the most important predictor of occupancy. Boreal chorus frogs demonstrated the greatest increase in breeding occupancy at the catchment level. Larger changes for all 3 species were detected at the finer site-level scale. Connectivity of sites explained occupancy rates more than other covariates, and may improve understanding of the dynamic processes occurring among wetlands within this ecosystem. Our results suggest monitoring occupancy at two spatial scales within large study areas is feasible and informative.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-012-0273-0","usgsCitation":"Gould, W., Patla, D.A., Daley, R., Corn, P., Hossack, B.R., Bennetts, R.E., and Peterson, C.R., 2012, Estimating occupancy in large landscapes: evaluation of amphibian monitoring in the greater Yellowstone ecosystem: Wetlands, v. 32, no. 2, p. 379-389, https://doi.org/10.1007/s13157-012-0273-0.","productDescription":"11 p.","startPage":"379","endPage":"389","ipdsId":"IP-032982","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272192,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-012-0273-0"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park;Grand Teton National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.16,43.54 ], [ -111.16,45.11 ], [ -109.83,45.11 ], [ -109.83,43.54 ], [ -111.16,43.54 ] ] ] } } ] }","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-09","publicationStatus":"PW","scienceBaseUri":"5190b9e0e4b05ebc8f7cc33c","contributors":{"authors":[{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":474680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patla, Debra A.","contributorId":40059,"corporation":false,"usgs":true,"family":"Patla","given":"Debra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474678,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daley, Rob","contributorId":14282,"corporation":false,"usgs":true,"family":"Daley","given":"Rob","affiliations":[],"preferred":false,"id":474677,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Corn, Paul Stephen 0000-0002-4106-6335","orcid":"https://orcid.org/0000-0002-4106-6335","contributorId":107379,"corporation":false,"usgs":true,"family":"Corn","given":"Paul Stephen","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":474682,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":474676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennetts, Robert E.","contributorId":62508,"corporation":false,"usgs":true,"family":"Bennetts","given":"Robert","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Charles R.","contributorId":95738,"corporation":false,"usgs":true,"family":"Peterson","given":"Charles","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":474681,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70043558,"text":"70043558 - 2012 - Performance of fish passage structures at upstream barriers to migration","interactions":[],"lastModifiedDate":"2013-02-28T14:42:18","indexId":"70043558","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Performance of fish passage structures at upstream barriers to migration","docAbstract":"Attraction and passage efficiency were reviewed and compared from 19 monitoring studies that produced data for evaluations of pool-and-weir, Denil, vertical-slot and nature-like fishways. Data from 26 species of anadromous and potamodromous fishes from six countries were separated by year and taxonomic family into a matrix with 101 records. Attraction performance was highly variable for the following fishway structures: pool-and-weir (attraction range = 29–100%, mean = 77%, median = 81%), vertical-slot (attraction range = 0–100%, mean = 63%, median = 80%), Denil (attraction range = 21–100%, mean = 61%, median = 57%) and nature-like (attraction range = 0–100%, mean = 48%, median = 50%). Mean passage efficiency was inversely related to mean attraction efficiency by fishway structure type, with the highest passage for nature-like fishways (range = 0–100%, mean = 70%, median = 86%), followed by Denil (range = 0–97%, mean = 51%, median = 38%), vertical-slot (range = 0–100%, mean = 45%, median = 43%) and pool-and-weir (range = 0–100%, mean = 40%, median = 34%). Principal components analysis and logistic regression modelling indicated that variation in fish attraction was driven by biological characteristics of the fish that were studied, whereas variation in fish passage was related to fishway type, slope and elevation change. This meta-analysis revealed that the species of fish monitored and structural design of the fishways have strong implications for both attraction and passage performance, and in most cases, existing data are not sufficient to support design recommendations. Many more fishway evaluations are needed over a range of species, fishway types and configurations to characterize, to optimize and to design new fishways. Furthermore, these studies must be performed in a consistent manner to identify the relative contributions of fish attraction and passage to overall fishway performance at each site.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1002/rra.1565","usgsCitation":"Bunt, C., Castro-Santos, T., and Haro, A., 2012, Performance of fish passage structures at upstream barriers to migration: River Research and Applications, v. 28, no. 4, p. 457-478, https://doi.org/10.1002/rra.1565.","productDescription":"22 p.","startPage":"457","endPage":"478","ipdsId":"IP-031133","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":268577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268576,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1565"}],"volume":"28","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-08-31","publicationStatus":"PW","scienceBaseUri":"51308a94e4b04c194073ae1d","contributors":{"authors":[{"text":"Bunt, C.M.","contributorId":96976,"corporation":false,"usgs":true,"family":"Bunt","given":"C.M.","affiliations":[],"preferred":false,"id":473835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Castro-Santos, T. 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":12416,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"T.","affiliations":[],"preferred":false,"id":473834,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, A.","contributorId":6792,"corporation":false,"usgs":true,"family":"Haro","given":"A.","email":"","affiliations":[],"preferred":false,"id":473833,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044028,"text":"70044028 - 2012 - Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","interactions":[],"lastModifiedDate":"2013-06-27T10:39:50","indexId":"70044028","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf","docAbstract":"Starting in Late Pleistocene time (~19 ka), sea level rise inundated coastal zones worldwide. On some parts of the present-day circum-Arctic continental shelf, this led to flooding and thawing of formerly subaerial permafrost and probable dissociation of associated gas hydrates. Relict permafrost has never been systematically mapped along the 700-km-long U.S. Beaufort Sea continental shelf and is often assumed to extend to ~120 m water depth, the approximate amount of sea level rise since the Late Pleistocene. Here, 5,000 km of multichannel seismic (MCS) data acquired between 1977 and 1992 were examined for high-velocity (>2.3 km s<sup>−1</sup>) refractions consistent with ice-bearing, coarse-grained sediments. Permafrost refractions were identified along <5% of the tracklines at depths of ~5 to 470 m below the seafloor. The resulting map reveals the minimum extent of subsea ice-bearing permafrost, which does not extend seaward of 30 km offshore or beyond the 20 m isobath.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2012GL052222","usgsCitation":"Brothers, L., Hart, P.E., and Ruppel, C., 2012, Minimum distribution of subsea ice-bearing permafrost on the US Beaufort Sea continental shelf: Geophysical Research Letters, v. 39, no. 15, L15501, https://doi.org/10.1029/2012GL052222.","productDescription":"L15501","ipdsId":"IP-035632","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474144,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/5375","text":"External Repository"},{"id":274270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274269,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2012GL052222"}],"otherGeospatial":"Beaufort Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.1,66.3 ], [ -156.1,74.7 ], [ -104.0,74.7 ], [ -104.0,66.3 ], [ -156.1,66.3 ] ] ] } } ] }","volume":"39","issue":"15","noUsgsAuthors":false,"publicationDate":"2012-08-07","publicationStatus":"PW","scienceBaseUri":"51cd5ee2e4b0e7a904971bd2","contributors":{"authors":[{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":474662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":474661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D.","contributorId":102322,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","affiliations":[],"preferred":false,"id":474663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044026,"text":"70044026 - 2012 - Farallon slab detachment and deformation of the Magdalena Shelf, southern Baja California","interactions":[],"lastModifiedDate":"2013-05-14T16:07:29","indexId":"70044026","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Farallon slab detachment and deformation of the Magdalena Shelf, southern Baja California","docAbstract":"Subduction of the Farallon plate beneath northwestern Mexico stalled by ~12 Ma when the Pacific-Farallon spreading-ridge approached the subduction zone. Coupling between remnant slab and the overriding North American plate played an important role in the capture of the Baja California (BC) microplate by the Pacific Plate. Active-source seismic reflection and wide-angle seismic refraction profiles across southwestern BC (~24.5°N) are used to image the extent of remnant slab and study its impact on the overriding plate. We infer that the hot, buoyant slab detached ~40 km landward of the fossil trench. Isostatic rebound following slab detachment uplifted the margin and exposed the Magdalena Shelf to wave-base erosion. Subsequent cooling, subsidence and transtensional opening along the shelf (starting ~8 Ma) starved the fossil trench of terrigenous sediment input. Slab detachment and the resultant rebound of the margin provide a mechanism for rapid uplift and exhumation of forearc subduction complexes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2011GL050828","usgsCitation":"Brothers, D., Harding, A.J., Gonzalez-Fernandez, A., Holbrook, W.S., Kent, G.M., Driscoll, N.W., Fletcher, J.M., Lizarralde, D., Umhoefer, P., and Axen, G., 2012, Farallon slab detachment and deformation of the Magdalena Shelf, southern Baja California: Geophysical Research Letters, v. 39, no. 9, L09307, https://doi.org/10.1029/2011GL050828.","productDescription":"L09307","ipdsId":"IP-036298","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl050828","text":"Publisher Index Page"},{"id":272274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272273,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL050828"}],"country":"Mexico","state":"Baja California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.4,28.0 ], [ -118.4,32.7 ], [ -112.8,32.7 ], [ -112.8,28.0 ], [ -118.4,28.0 ] ] ] } } ] }","volume":"39","issue":"9","noUsgsAuthors":false,"publicationDate":"2012-05-08","publicationStatus":"PW","scienceBaseUri":"53cd590be4b0b290850f87ae","contributors":{"authors":[{"text":"Brothers, Daniel S.","contributorId":72686,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel S.","affiliations":[],"preferred":false,"id":474655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harding, Alistair J.","contributorId":53270,"corporation":false,"usgs":true,"family":"Harding","given":"Alistair","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":474652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gonzalez-Fernandez, Antonio","contributorId":84648,"corporation":false,"usgs":true,"family":"Gonzalez-Fernandez","given":"Antonio","email":"","affiliations":[],"preferred":false,"id":474659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, W.S. Steven","contributorId":93797,"corporation":false,"usgs":true,"family":"Holbrook","given":"W.S.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":474660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Graham M.","contributorId":75819,"corporation":false,"usgs":true,"family":"Kent","given":"Graham","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474658,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Driscoll, Neal W.","contributorId":63266,"corporation":false,"usgs":true,"family":"Driscoll","given":"Neal","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":474653,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fletcher, John M.","contributorId":69864,"corporation":false,"usgs":true,"family":"Fletcher","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474654,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lizarralde, Daniel","contributorId":24256,"corporation":false,"usgs":true,"family":"Lizarralde","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":474651,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Umhoefer, Paul J.","contributorId":73483,"corporation":false,"usgs":true,"family":"Umhoefer","given":"Paul J.","affiliations":[],"preferred":false,"id":474657,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Axen, Gary","contributorId":73093,"corporation":false,"usgs":true,"family":"Axen","given":"Gary","affiliations":[],"preferred":false,"id":474656,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70045070,"text":"70045070 - 2012 - Assessing the validity of station location assumptions made in the calculation of the geomagnetic disturbance index, Dst","interactions":[],"lastModifiedDate":"2013-04-09T12:15:55","indexId":"70045070","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the validity of station location assumptions made in the calculation of the geomagnetic disturbance index, Dst","docAbstract":"In this paper, the effects of the assumptions made in the calculation of the Dst index with regard to longitude sampling, hemisphere bias, and latitude correction are explored. The insights gained from this study will allow operational users to better understand the local implications of the Dst index and will lead to future index formulations that are more physically motivated. We recompute the index using 12 longitudinally spaced low-latitude stations, including the traditional 4 (in Honolulu, Kakioka, San Juan, and Hermanus), and compare it to the standard United States Geological Survey definitive Dst. We look at the hemisphere balance by comparing stations at equal geomagnetic latitudes in the Northern and Southern hemispheres. We further separate the 12-station time series into two hemispheric indices and find that there are measurable differences in the traditional Dst formulation due to the undersampling of the Southern Hemisphere in comparison with the Northern Hemisphere. To analyze the effect of latitude correction, we plot latitudinal variation in a disturbance observed during the year 2005 using two separate longitudinal observatory chains. We separate these by activity level and find that while the traditional cosine form fits the latitudinal distributions well for low levels of activity, at higher levels of disturbance the cosine form does not fit the observed variation. This suggests that the traditional latitude scaling is insufficient during active times. The effect of the Northern Hemisphere bias and the inadequate latitude scaling is such that the standard correction underestimates the true disturbance by 10–30 nT for storms of main phase magnitude deviation greater than 150 nT in the traditional Dst index.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Space Weather","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011SW000731","usgsCitation":"Gannon, J., 2012, Assessing the validity of station location assumptions made in the calculation of the geomagnetic disturbance index, Dst: Space Weather, v. 10, no. 2, S02002, https://doi.org/10.1029/2011SW000731.","productDescription":"S02002","ipdsId":"IP-034785","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011sw000731","text":"Publisher Index Page"},{"id":270695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270694,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011SW000731"}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-02-16","publicationStatus":"PW","scienceBaseUri":"51653865e4b077fa94dadf79","contributors":{"authors":[{"text":"Gannon, Jennifer","contributorId":90190,"corporation":false,"usgs":true,"family":"Gannon","given":"Jennifer","affiliations":[],"preferred":false,"id":476729,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044357,"text":"70044357 - 2012 - Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","interactions":[],"lastModifiedDate":"2013-04-09T14:54:58","indexId":"70044357","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model","docAbstract":"Improved predictions of hyporheic exchange based on easily measured physical variables are needed to improve assessment of solute transport and reaction processes in watersheds. Here we compare physically based model predictions for an Indiana stream with stream tracer results interpreted using the Transient Storage Model (TSM). We parameterized the physically based, Multiscale Model (MSM) of stream-groundwater interactions with measured stream planform and discharge, stream velocity, streambed hydraulic conductivity and porosity, and topography of the streambed at distinct spatial scales (i.e., ripple, bar, and reach scales). We predicted hyporheic exchange fluxes and hyporheic residence times using the MSM. A Continuous Time Random Walk (CTRW) model was used to convert the MSM output into predictions of in stream solute transport, which we compared with field observations and TSM parameters obtained by fitting solute transport data. MSM simulations indicated that surface-subsurface exchange through smaller topographic features such as ripples was much faster than exchange through larger topographic features such as bars. However, hyporheic exchange varies nonlinearly with groundwater discharge owing to interactions between flows induced at different topographic scales. MSM simulations showed that groundwater discharge significantly decreased both the volume of water entering the subsurface and the time it spent in the subsurface. The MSM also characterized longer timescales of exchange than were observed by the tracer-injection approach. The tracer data, and corresponding TSM fits, were limited by tracer measurement sensitivity and uncertainty in estimates of background tracer concentrations. Our results indicate that rates and patterns of hyporheic exchange are strongly influenced by a continuum of surface-subsurface hydrologic interactions over a wide range of spatial and temporal scales rather than discrete processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1029/2011WR011582","usgsCitation":"Stonedahl, S.H., Harvey, J.W., Detty, J., Aubeneau, A., and Packman, A., 2012, Physical controls and predictability of stream hyporheic flow evaluated with a multiscale model: Water Resources Research, v. 48, no. 10, W10513, https://doi.org/10.1029/2011WR011582.","productDescription":"W10513","ipdsId":"IP-040699","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011582","text":"Publisher Index Page"},{"id":270711,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011582"},{"id":270712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"10","noUsgsAuthors":false,"publicationDate":"2012-10-06","publicationStatus":"PW","scienceBaseUri":"51653871e4b077fa94dae00c","contributors":{"authors":[{"text":"Stonedahl, Susa H.","contributorId":66145,"corporation":false,"usgs":true,"family":"Stonedahl","given":"Susa","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Detty, Joel","contributorId":12347,"corporation":false,"usgs":true,"family":"Detty","given":"Joel","email":"","affiliations":[],"preferred":false,"id":475362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aubeneau, Antoine","contributorId":44057,"corporation":false,"usgs":true,"family":"Aubeneau","given":"Antoine","email":"","affiliations":[],"preferred":false,"id":475364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Packman, Aaron I.","contributorId":15092,"corporation":false,"usgs":true,"family":"Packman","given":"Aaron I.","affiliations":[],"preferred":false,"id":475363,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}