The Blackbird district, east-central Idaho, contains the largest known Co reserves in the United States. The origin of strata-hosted Co-Cu ± Au mineralization at Blackbird has been a matter of controversy for decades. In order to differentiate among possible genetic models for the deposits, including various combinations of volcanic, sedimentary, magmatic, and metamorphic processes, we used U-Pb geochronology of xenotime, monazite, and zircon to establish time constraints for ore formation. New age data reported here were obtained using sensitive high resolution ion microprobe (SHRIMP) microanalysis of (1) detrital zircons from a sample of Mesoproterozoic siliciclastic metasedimentary country rock in the Blackbird district, (2) igneous zircons from Mesoproterozoic intrusions, and (3) xenotime and monazite from the Merle and Sunshine prospects at Blackbird.
Detrital zircon from metasandstone of the biotite phyllite-schist unit has ages mostly in the range of 1900 to 1600 Ma, plus a few Neoarchean and Paleoproterozoic grains. Age data for the six youngest grains form a coherent group at 1409 ± 10 Ma, regarded as the maximum age of deposition of metasedimentary country rocks of the central structural domain. Igneous zircons from nine samples of megacrystic granite, granite augen gneiss, and granodiorite augen gneiss that crop out north and east of the Blackbird district yield ages between 1383 ± 4 and 1359 ± 7 Ma. Emplacement of the Big Deer Creek megacrystic granite (1377 ± 4 Ma), structurally juxtaposed with host rocks in the Late Cretaceous ca. 5 km north of Blackbird, may have been involved in initial deposition of rare earth elements (REE) minerals and, possibly, sulfides.
In situ SHRIMP ages of xenotime and monazite in Co-rich samples from the Merle and Sunshine prospects, plus backscattered electron imagery and SHRIMP analyses of trace elements, indicate a complex sequence of Mesoproterozoic and Cretaceous events. On the basis of textural relationships observed in thin section, xeno-time and cobaltite formed during multiple episodes. The oldest age for xenotime (1370 ± 4 Ma), determined on oscillatory-zoned cores, may date the time of initial cobaltite formation, and provides a minimum age for the host metasedimentary rocks. Additional Proterozoic xenotime growth events occurred at 1315 to 1270 Ma and ca. 1050 Ma. Other xenotime grains and rims grew in conjunction with cobaltite during Cretaceous metamorphism. However, ages of these growth episodes cannot be precisely determined due to matrix effects on 206Pb/238U data for xenotime. Monazite, some of which encloses cobaltite, uniformly has Cretaceous ages that mainly are 110 ± 3 and 92 ± 5 Ma. These data indicate that xenotime, monazite, and cobaltite were extensively mobilized and precipitated during Middle to Late Cretaceous metamorphic events.
","language":"English","publisher":"Society of Economic Geologists","publisherLocation":"Littleton, CO","doi":"10.2113/econgeo.107.6.1143","usgsCitation":"Aleinikoff, J.N., Slack, J.F., Lund, K., Evans, K.V., Fanning, C., Mazdab, F.K., Wooden, J., and Pillers, R.M., 2012, Constraints on the timing of Co-Cu ± Au mineralization in the Blackbird district, Idaho, using SHRIMP U-Pb ages of monazite and xenotime plus zircon ages of related Mesoproterozoic orthogneisses and metasedimentary rocks: Economic Geology, v. 107, no. 6, p. 1143-1175, https://doi.org/10.2113/econgeo.107.6.1143.","productDescription":"33 p.","startPage":"1143","endPage":"1175","ipdsId":"IP-021616","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":271334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Blackbird District","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.82635498046875,\n 44.98034238084973\n ],\n [\n -114.20562744140625,\n 44.98034238084973\n ],\n [\n -114.20562744140625,\n 45.40037851725538\n ],\n [\n -114.82635498046875,\n 45.40037851725538\n ],\n [\n -114.82635498046875,\n 44.98034238084973\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-09-20","publicationStatus":"PW","scienceBaseUri":"51765be1e4b0f989f99e00ad","contributors":{"authors":[{"text":"Aleinikoff, John N. 0000-0003-3494-6841 jaleinikoff@usgs.gov","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":1478,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","email":"jaleinikoff@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":476366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lund, Karen 0000-0002-4249-3582 klund@usgs.gov","orcid":"https://orcid.org/0000-0002-4249-3582","contributorId":1235,"corporation":false,"usgs":true,"family":"Lund","given":"Karen","email":"klund@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Karl V. kvevans@usgs.gov","contributorId":194,"corporation":false,"usgs":true,"family":"Evans","given":"Karl","email":"kvevans@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":476365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. 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This summary provides data on exploration budgets by region and mineral commodity, identifies significant mineral discoveries and areas of mineral exploration, discusses government programs affecting the mineral exploration industry and presents surveys returned by companies primarily focused on precious (gold, platinum-group metals and silver) and base (copper, lead, nickel and zinc) metals.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mining Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SME","usgsCitation":"Wilburn, D., Rapstine, T., and Lee, E., 2012, Exploration review: Mining Engineering, v. 64, no. 5, p. 40-60.","productDescription":"21 p.","startPage":"40","endPage":"60","ipdsId":"IP-036880","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":271593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"64","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517f9668e4b0e41721f7a350","contributors":{"authors":[{"text":"Wilburn, D.R.","contributorId":98911,"corporation":false,"usgs":true,"family":"Wilburn","given":"D.R.","email":"","affiliations":[],"preferred":false,"id":476364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rapstine, T.D.","contributorId":60103,"corporation":false,"usgs":true,"family":"Rapstine","given":"T.D.","email":"","affiliations":[],"preferred":false,"id":476363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, E.C.","contributorId":16191,"corporation":false,"usgs":true,"family":"Lee","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":476362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044809,"text":"70044809 - 2012 - Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT","interactions":[],"lastModifiedDate":"2013-04-25T12:09:47","indexId":"70044809","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT","docAbstract":"Based on U-Pb dating of two dinosaur bones from the San Juan Basin of New Mexico (United States), Fassett et al. (2011) claim to provide the first successful direct dating of fossil bones and to establish the presence of Paleocene dinosaurs. Fassett et al. ignore previously published work that directly questions their stratigraphic interpretations (Lucas et al., 2009), and fail to provide sufficient descriptions of instrumental, geochronological, and statistical treatments of the data to allow evaluation of the potentially complex diagenetic and recrystallization history of bone. These shortcomings lead us to question the validity of the U-Pb dates published by Fassett et al. and their conclusions regarding the existence of Paleocene dinosaurs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"GSA","doi":"10.1130/G32154C.1","usgsCitation":"Koenig, A.E., Lucas, S., Neymark, L.A., Heckert, A.B., Sullivan, R.M., Jasinski, S.E., and Fowler, D.W., 2012, Direct U-Pb dating of Cretaceous and Paleocene dinosaur bones, San Juan Basin, New Mexico: COMMENT: Geology, v. 40, no. 4, p. e262-e262, https://doi.org/10.1130/G32154C.1.","productDescription":"1 p.","startPage":"e262","endPage":"e262","ipdsId":"IP-027439","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":474122,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g32154c.1","text":"Publisher Index Page"},{"id":271467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271465,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G32154C.1"}],"country":"United States","state":"New Mexico","otherGeospatial":"San Juan Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","volume":"40","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a5069e4b072c16ef14b1a","contributors":{"authors":[{"text":"Koenig, Alan E. 0000-0002-5230-0924 akoenig@usgs.gov","orcid":"https://orcid.org/0000-0002-5230-0924","contributorId":1564,"corporation":false,"usgs":true,"family":"Koenig","given":"Alan","email":"akoenig@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lucas, Spencer G.","contributorId":80161,"corporation":false,"usgs":true,"family":"Lucas","given":"Spencer G.","affiliations":[],"preferred":false,"id":476353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. lneymark@usgs.gov","contributorId":532,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid","email":"lneymark@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":476347,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heckert, Andrew B.","contributorId":28878,"corporation":false,"usgs":true,"family":"Heckert","given":"Andrew","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":476350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullivan, Robert M.","contributorId":52474,"corporation":false,"usgs":true,"family":"Sullivan","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476352,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasinski, Steven E.","contributorId":26948,"corporation":false,"usgs":true,"family":"Jasinski","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476349,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fowler, Denver W.","contributorId":49683,"corporation":false,"usgs":true,"family":"Fowler","given":"Denver","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476351,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044291,"text":"70044291 - 2012 - Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry","interactions":[],"lastModifiedDate":"2013-04-24T15:26:20","indexId":"70044291","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2214,"text":"Journal of Chromatography A","active":true,"publicationSubtype":{"id":10}},"title":"Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry","docAbstract":"4-Nonylphenols (4-NPs) are known endocrine disruptors and by-products of the microbial degradation of nonylphenol polyethoxylate surfactants. One of the challenges to understanding the toxic effects of nonylphenols is the large number of isomers that may exist in environmental samples. In order to attribute toxic effects to specific compounds, a method is needed for the separation and quantitation of individual nonylphenol isomers. The pre-concentration methods of solvent sublimation, solid-phase extraction or liquid–liquid extraction prior to chromatographic analysis can be problematic because of co-extraction of thousands of compounds typically found in complex matrices such as municipal wastewater or landfill leachate. In the present study, steam distillation extraction (SDE) was found to be an effective pre-concentration method for extraction of 4-NPs from leachate and wastewater, and comprehensive two-dimensional gas chromatography (GC × GC) coupled with fast mass spectral data acquisition by time-of-flight mass spectrometry (ToFMS) enhanced the resolution and identification of 4-NP isomers. Concentrations of eight 4-NP isomers were determined in leachate from landfill cells of different age and wastewater influent and effluent samples. 4-NP isomers were about 3 times more abundant in leachate from the younger cell than the older one, whereas concentrations in wastewater effluent were either below detection limits or <1% of influent concentrations. 4-NP isomer distribution patterns were found to have been altered following release to the environment. This is believed to reflect isomer-specific degradation and accumulation of 4-NPs in the aquatic environment.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Chromatography A","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.chroma.2011.12.109","usgsCitation":"Zhang, C., Eganhouse, R., Pontolillo, J., Cozzarelli, I.M., and Wang, Y., 2012, Determination of nonylphenol isomers in landfill leachate and municipal wastewater using steam distillation extraction coupled with comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry: Journal of Chromatography A, v. 1230, p. 110-116, https://doi.org/10.1016/j.chroma.2011.12.109.","productDescription":"7 p.","startPage":"110","endPage":"116","ipdsId":"IP-030281","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":271420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":268627,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.chroma.2011.12.109"}],"volume":"1230","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5178fee3e4b0d842c705f6d7","contributors":{"authors":[{"text":"Zhang, Caixiang","contributorId":61321,"corporation":false,"usgs":true,"family":"Zhang","given":"Caixiang","email":"","affiliations":[],"preferred":false,"id":475244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eganhouse, Robert P. eganhous@usgs.gov","contributorId":2031,"corporation":false,"usgs":true,"family":"Eganhouse","given":"Robert P.","email":"eganhous@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pontolillo, James jpontoli@usgs.gov","contributorId":2033,"corporation":false,"usgs":true,"family":"Pontolillo","given":"James","email":"jpontoli@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475241,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yanxin","contributorId":81389,"corporation":false,"usgs":true,"family":"Wang","given":"Yanxin","email":"","affiliations":[],"preferred":false,"id":475245,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70046097,"text":"70046097 - 2012 - Impact disruption and recovery of the deep subsurface biosphere","interactions":[],"lastModifiedDate":"2013-06-05T15:03:53","indexId":"70046097","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":912,"text":"Astrobiology","active":true,"publicationSubtype":{"id":10}},"title":"Impact disruption and recovery of the deep subsurface biosphere","docAbstract":"Although a large fraction of the world's biomass resides in the subsurface, there has been no study of the effects of catastrophic disturbance on the deep biosphere and the rate of its subsequent recovery. We carried out an investigation of the microbiology of a 1.76 km drill core obtained from the ~35 million-year-old Chesapeake Bay impact structure, USA, with robust contamination control. Microbial enumerations displayed a logarithmic downward decline, but the different gradient, when compared to previously studied sites, and the scatter of the data are consistent with a microbiota influenced by the geological disturbances caused by the impact. Microbial abundance is low in buried crater-fill, ocean-resurge, and avalanche deposits despite the presence of redox couples for growth. Coupled with the low hydraulic conductivity, the data suggest the microbial community has not yet recovered from the impact ~35 million years ago. Microbial enumerations, molecular analysis of microbial enrichment cultures, and geochemical analysis showed recolonization of a deep region of impact-fractured rock that was heated to above the upper temperature limit for life at the time of impact. These results show how, by fracturing subsurface rocks, impacts can extend the depth of the biosphere. This phenomenon would have provided deep refugia for life on the more heavily bombarded early Earth, and it shows that the deeply fractured regions of impact craters are promising targets to study the past and present habitability of Mars.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Astrobiology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Mary Ann Liebert, Inc.","doi":"10.1089/ast.2011.0722","usgsCitation":"Cockell, C.S., Voytek, M.A., Gronstal, A.L., Finster, K., Kirshtein, J.D., Howard, K., Reitner, J., Gohn, G., Sanford, W.E., Horton, J., Kallmeyer, J., Kelly, L., and Powars, D.S., 2012, Impact disruption and recovery of the deep subsurface biosphere: Astrobiology, v. 12, no. 3, p. 231-246, https://doi.org/10.1089/ast.2011.0722.","productDescription":"16 p.","startPage":"231","endPage":"246","ipdsId":"IP-021854","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":273338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273337,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1089/ast.2011.0722"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b05de7e4b030b519801237","contributors":{"authors":[{"text":"Cockell, Charles S.","contributorId":22646,"corporation":false,"usgs":true,"family":"Cockell","given":"Charles","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":478900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voytek, Mary A.","contributorId":91943,"corporation":false,"usgs":true,"family":"Voytek","given":"Mary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":478907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gronstal, Aaron L.","contributorId":17510,"corporation":false,"usgs":true,"family":"Gronstal","given":"Aaron","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":478899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finster, Kai","contributorId":79383,"corporation":false,"usgs":true,"family":"Finster","given":"Kai","email":"","affiliations":[],"preferred":false,"id":478906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirshtein, Julie D.","contributorId":26033,"corporation":false,"usgs":true,"family":"Kirshtein","given":"Julie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":478901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howard, Kieren","contributorId":68632,"corporation":false,"usgs":true,"family":"Howard","given":"Kieren","email":"","affiliations":[],"preferred":false,"id":478904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reitner, Joachim","contributorId":50431,"corporation":false,"usgs":true,"family":"Reitner","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":478903,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gohn, Gregory S.","contributorId":50155,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory S.","affiliations":[],"preferred":false,"id":478902,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":478898,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Horton, J. 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We computed grassland site potential and EP anomalies using 9-year (2000–2008) time series of 250 m expedited moderate resolution imaging spectroradiometer Normalized Difference Vegetation Index data, geophysical and biophysical data, weather and climate data, and EP models. We hypothesize that areas with fairly consistent high grassland productivity (i.e., high grassland site potential) in fair to good range condition (i.e., persistent ecosystem overperformance or normal performance, indicating a lack of severe ecological disturbance) are potentially suitable for cellulosic feedstock crop development. Unproductive (i.e., low grassland site potential) or degraded grasslands (i.e., persistent ecosystem underperformance with poor range condition) are not appropriate for cellulosic feedstock development. Grassland pixels with high or moderate ecosystem site potential and with more than 7 years ecosystem normal performance or overperformance during 2000–2008 are identified as possible regions for future cellulosic feedstock crop development (ca. 68 000 km2 within the GPRB, mostly in the eastern areas). Long-term climate conditions, elevation, soil organic carbon, and yearly seasonal precipitation and temperature are important performance variables to determine the suitable areas in this study. The final map delineating the suitable areas within the GPRB provides a new monitoring and modeling approach that can contribute to decision support tools to help land managers and decision makers make optimal land use decisions regarding cellulosic feedstock crop development and sustainability.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GCB Bioenergy","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1757-1707.2011.01113.x","usgsCitation":"Gu, Y., Boyte, S., Wylie, B.K., and Tieszen, L.L., 2012, Identifying grasslands suitable for cellulosic feedstock crops in the Greater Platte River Basin: dynamic modeling of ecosystem performance with 250 m eMODIS: GCB Bioenergy, v. 4, no. 1, p. 96-106, https://doi.org/10.1111/j.1757-1707.2011.01113.x.","productDescription":"11 p.","startPage":"96","endPage":"106","ipdsId":"IP-023332","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1757-1707.2011.01113.x","text":"Publisher Index Page"},{"id":273336,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273335,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1757-1707.2011.01113.x"}],"country":"United States","state":"Nebraska;Wyoming;Colorado;Kansas;South Dakota","otherGeospatial":"Greater Platte River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.5 ], [ -109.0,44.0 ], [ -95.5,44.0 ], [ -95.5,37.5 ], [ -109.0,37.5 ] ] ] } } ] }","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-07-21","publicationStatus":"PW","scienceBaseUri":"51b05de6e4b030b519801227","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":409,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":103539,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[],"preferred":false,"id":473113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":473112,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044783,"text":"70044783 - 2012 - Estimating risks to aquatic life using quantile regression","interactions":[],"lastModifiedDate":"2013-06-21T14:19:06","indexId":"70044783","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Estimating risks to aquatic life using quantile regression","docAbstract":"One of the primary goals of biological assessment is to assess whether contaminants or other stressors limit the ecological potential of running waters. It is important to interpret responses to contaminants relative to other environmental factors, but necessity or convenience limit quantification of all factors that influence ecological potential. In these situations, the concept of limiting factors is useful for data interpretation. We used quantile regression to measure risks to aquatic life exposed to metals by including all regression quantiles (τ = 0.05–0.95, by increments of 0.05), not just the upper limit of density (e.g., 90th quantile). We measured population densities (individuals/0.1 m2) of 2 mayflies (Rhithrogena spp., Drunella spp.) and a caddisfly (Arctopsyche grandis), aqueous metal mixtures (Cd, Cu, Zn), and other limiting factors (basin area, site elevation, discharge, temperature) at 125 streams in Colorado. We used a model selection procedure to test which factor was most limiting to density. Arctopsyche grandis was limited by other factors, whereas metals limited most quantiles of density for the 2 mayflies. Metals reduced mayfly densities most at sites where other factors were not limiting. Where other factors were limiting, low mayfly densities were observed despite metal concentrations. Metals affected mayfly densities most at quantiles above the mean and not just at the upper limit of density. Risk models developed from quantile regression showed that mayfly densities observed at background metal concentrations are improbable when metal mixtures are at US Environmental Protection Agency criterion continuous concentrations. We conclude that metals limit potential density, not realized average density. The most obvious effects on mayfly populations were at upper quantiles and not mean density. Therefore, we suggest that policy developed from mean-based measures of effects may not be as useful as policy based on the concept of limiting factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/11-133.1","usgsCitation":"Schmidt, T., Clements, W.H., and Cade, B.S., 2012, Estimating risks to aquatic life using quantile regression: Freshwater Science, v. 31, no. 3, p. 709-723, https://doi.org/10.1899/11-133.1.","productDescription":"15 p.","startPage":"709","endPage":"723","ipdsId":"IP-017391","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":274071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274070,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/11-133.1"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","volume":"31","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c59e33e4b0c89b8f120e27","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clements, William H.","contributorId":39504,"corporation":false,"usgs":true,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476307,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044659,"text":"70044659 - 2012 - Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","interactions":[],"lastModifiedDate":"2013-04-15T18:27:04","indexId":"70044659","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean","docAbstract":"Energetic responses of steelhead Oncorhynchus mykiss to climate-driven changes in marine conditions are expected to affect the species’ ocean distribution, feeding, growth, and survival. With a unique 18-year data series (1991–2008) for steelhead sampled in the open ocean, we simulated interannual variation in prey consumption and growth efficiency of steelhead using a bioenergetics model to evaluate the temperature-dependent growth response of steelhead to past climate events and to estimate growth potential of steelhead under future climate scenarios. Our results showed that annual ocean growth of steelhead is highly variable depending on prey quality, consumption rates, total consumption, and thermal experience. At optimal growing temperatures, steelhead can compensate for a low-energy diet by increasing consumption rates and consuming more prey, if available. Our findings suggest that steelhead have a narrow temperature window in which to achieve optimal growth, which is strongly influenced by climate-driven changes in ocean temperature.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/00028487.2012.675914","usgsCitation":"Atcheson, M.E., Myers, K.W., Beauchamp, D.A., and Mantua, N.J., 2012, Bioenergetic response by steelhead to variation in diet, thermal habitat, and climate in the north Pacific Ocean: Transactions of the American Fisheries Society, v. 141, no. 4, p. 1081-1096, https://doi.org/10.1080/00028487.2012.675914.","productDescription":"16 p.","startPage":"1081","endPage":"1096","ipdsId":"IP-042595","costCenters":[{"id":621,"text":"Washington Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":270956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270955,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2012.675914"}],"otherGeospatial":"Pacific Ocean","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 128.7,-85.6 ], [ 128.7,58.2 ], [ -66.5,58.2 ], [ -66.5,-85.6 ], [ 128.7,-85.6 ] ] ] } } ] }","volume":"141","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-07-02","publicationStatus":"PW","scienceBaseUri":"516d2167e4b0411d430a89ef","contributors":{"authors":[{"text":"Atcheson, Margaret E.","contributorId":76211,"corporation":false,"usgs":true,"family":"Atcheson","given":"Margaret","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":476181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Katherine W.","contributorId":32812,"corporation":false,"usgs":true,"family":"Myers","given":"Katherine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":476180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beauchamp, David A. 0000-0002-3592-8381 fadave@usgs.gov","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":4205,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","email":"fadave@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mantua, Nathan J.","contributorId":83429,"corporation":false,"usgs":true,"family":"Mantua","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70044594,"text":"wdr2012 - 2012 - Water-resources data for the United States: water year 2012","interactions":[],"lastModifiedDate":"2016-08-23T13:29:26","indexId":"wdr2012","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":340,"text":"Water Data Report","code":"WDR","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2012","title":"Water-resources data for the United States: water year 2012","docAbstract":"Water resources data are published annually for use by engineers, scientists, managers, educators, and the general public. These archival products supplement direct access to current and historical water data provided by NWISWeb. Beginning with Water Year 2006, annual water data reports are available as individual electronic Site Data Sheets for the entire Nation for retrieval, download, and localized printing on demand. National distribution includes tabular and map interfaces for search, query, display and download of data. From 1962 until 2005, reports were published by State as paper documents, although most reports since the mid-1990s are also available in electronic form through this web page. Reports prior to 1962 were published in occasional USGS Water-Supply Papers and other reports.
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States\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142f18de4b073a963ff662d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":535456,"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}]}} ,{"id":70043162,"text":"70043162 - 2012 - Airborne LiDAR analysis and geochronology of faulted glacial moraines in the Tahoe-Sierra frontal fault zone reveal substantial seismic hazards in the Lake Tahoe region, California-Nevada USA","interactions":[],"lastModifiedDate":"2013-06-24T09:30:02","indexId":"70043162","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Airborne LiDAR analysis and geochronology of faulted glacial moraines in the Tahoe-Sierra frontal fault zone reveal substantial seismic hazards in the Lake Tahoe region, California-Nevada USA","docAbstract":"We integrated high-resolution bare-earth airborne light detection and ranging (LiDAR) imagery with field observations and modern geochronology to characterize the Tahoe-Sierra frontal fault zone, which forms the neotectonic boundary between the Sierra Nevada and the Basin and Range Province west of Lake Tahoe. The LiDAR imagery clearly delineates active normal faults that have displaced late Pleistocene glacial moraines and Holocene alluvium along 30 km of linear, right-stepping range front of the Tahoe-Sierra frontal fault zone. Herein, we illustrate and describe the tectonic geomorphology of faulted lateral moraines. We have developed new, three-dimensional modeling techniques that utilize the high-resolution LiDAR data to determine tectonic displacements of moraine crests and alluvium. The statistically robust displacement models combined with new ages of the displaced Tioga (20.8 ± 1.4 ka) and Tahoe (69.2 ± 4.8 ka; 73.2 ± 8.7 ka) moraines are used to estimate the minimum vertical separation rate at 17 sites along the Tahoe-Sierra frontal fault zone. Near the northern end of the study area, the minimum vertical separation rate is 1.5 ± 0.4 mm/yr, which represents a two- to threefold increase in estimates of seismic moment for the Lake Tahoe basin. From this study, we conclude that potential earthquake moment magnitudes (Mw) range from 6.3 ± 0.25 to 6.9 ± 0.25. A close spatial association of landslides and active faults suggests that landslides have been seismically triggered. Our study underscores that the Tahoe-Sierra frontal fault zone poses substantial seismic and landslide hazards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"GSA Bulletin","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/B30598.1","usgsCitation":"Howle, J.F., Bawden, G.W., Schweickert, R.A., Finkel, R.C., Hunter, L.E., Rose, R.S., and von Twistern, B., 2012, Airborne LiDAR analysis and geochronology of faulted glacial moraines in the Tahoe-Sierra frontal fault zone reveal substantial seismic hazards in the Lake Tahoe region, California-Nevada USA: GSA Bulletin, v. 124, no. 7-8, p. 1087-1101, https://doi.org/10.1130/B30598.1.","productDescription":"14 p.","startPage":"1087","endPage":"1101","ipdsId":"IP-035187","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":274084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274083,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/B30598.1"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.48,32.53 ], [ -124.48,42.01 ], [ -114.13,42.01 ], [ -114.13,32.53 ], [ -124.48,32.53 ] ] ] } } ] }","volume":"124","issue":"7-8","noUsgsAuthors":false,"publicationDate":"2012-05-18","publicationStatus":"PW","scienceBaseUri":"51c96a62e4b0a50a6e8f57c0","contributors":{"authors":[{"text":"Howle, James F. 0000-0003-0491-6203 jfhowle@usgs.gov","orcid":"https://orcid.org/0000-0003-0491-6203","contributorId":2225,"corporation":false,"usgs":true,"family":"Howle","given":"James","email":"jfhowle@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bawden, Gerald W. gbawden@usgs.gov","contributorId":1071,"corporation":false,"usgs":true,"family":"Bawden","given":"Gerald","email":"gbawden@usgs.gov","middleInitial":"W.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schweickert, Richard A.","contributorId":60107,"corporation":false,"usgs":true,"family":"Schweickert","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkel, Robert C.","contributorId":83426,"corporation":false,"usgs":false,"family":"Finkel","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":473091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunter, Lewis E.","contributorId":79568,"corporation":false,"usgs":true,"family":"Hunter","given":"Lewis","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":473090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rose, Ronn S.","contributorId":56960,"corporation":false,"usgs":true,"family":"Rose","given":"Ronn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":473088,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"von Twistern, Brent","contributorId":100274,"corporation":false,"usgs":true,"family":"von Twistern","given":"Brent","email":"","affiliations":[],"preferred":false,"id":473092,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044449,"text":"70044449 - 2012 - Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","interactions":[],"lastModifiedDate":"2013-04-14T13:45:14","indexId":"70044449","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds","docAbstract":"Twenty-four halogenated volatile organic compounds (hVOCs) and SF6 were measured in groundwater samples collected from 312 wells across California at concentrations as low as 10–12 grams per kilogram groundwater. The hVOCs detected are predominately anthropogenic (i.e., “ahVOCs”) and as such their distribution delineates where groundwaters are impacted and susceptible to human activity. ahVOC detections were broadly consistent with air-saturated water concentrations in equilibrium with a combination of industrial-era global and regional hVOC atmospheric abundances. However, detection of ahVOCs in nearly all of the samples collected, including ancient groundwaters, suggests the presence of a sampling or analytical artifact that confounds interpretation of the very-low concentration ahVOC data. To increase our confidence in ahVOC detections we establish screening levels based on ahVOC concentrations in deep wells drawing ancient groundwater in Owens Valley. Concentrations of ahVOCs below the Owens Valley screening levels account for a large number of the detections in prenuclear groundwater across California without significant loss of ahVOC detections in shallow, recently recharged groundwaters. Over 80% of the groundwaters in this study contain at least one ahVOC after screening, indicating that the footprint of human industry is nearly ubiquitous and that most California groundwaters are vulnerable to contamination from land-surface activities.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es303546b","usgsCitation":"Deeds, D.A., Kulongoski, J., and Belitz, K., 2012, Assessing California groundwater susceptibility using trace concentrations of halogenated volatile organic compounds: Environmental Science & Technology, v. 46, no. 24, p. 13128-13135, https://doi.org/10.1021/es303546b.","productDescription":"8 p.","startPage":"13128","endPage":"13135","ipdsId":"IP-040240","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":270881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270880,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es303546b"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"46","issue":"24","noUsgsAuthors":false,"publicationDate":"2012-11-29","publicationStatus":"PW","scienceBaseUri":"516bcfe9e4b0eae401aec237","contributors":{"authors":[{"text":"Deeds, Daniel A. ddeeds@usgs.gov","contributorId":83003,"corporation":false,"usgs":true,"family":"Deeds","given":"Daniel","email":"ddeeds@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":475635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":94750,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin T.","affiliations":[],"preferred":false,"id":475636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475634,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043151,"text":"70043151 - 2012 - Landsat-7 ETM+: 12 years on-orbit reflective-band radiometric performance","interactions":[],"lastModifiedDate":"2017-05-10T15:49:55","indexId":"70043151","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Landsat-7 ETM+: 12 years on-orbit reflective-band radiometric performance","docAbstract":"The Landsat-7 ETM+ sensor has been operating on orbit for more than 12 years, and characterizations of its performance have been ongoing over this period. In general, the radiometric performance of the instrument has been remarkably stable: 1) noise performance has degraded by 2% or less overall, with a few detectors displaying step changes in noise of 2% or less; 2) coherent noise frequencies and magnitudes have generally been stable, though the within-scan amplitude variation of the 20 kHz noise in bands 1 and 8 disappeared with the failure of the scan line corrector and a new similar frequency noise (now about 18 kHz) has appeared in two detectors in band 5 and increased in magnitude with time; 3) bias stability has been better than 0.25 DN out of a normal value of 15 DN in high gain; 4) relative gains, the differences in response between the detectors in the band, have generally changed by 0.1% or less over the mission, with the exception of a few detectors with a step response change of 1% or less; and 5) gain stability averaged across all detectors in a band, which is related to the stability of the absolute calibration, has been more stable than the techniques used to measure it. Due to the inability to confirm changes in the gain (beyond a few detectors that have been corrected back to the band average), ETM+ reflective band data continues to be calibrated with the prelaunch measured gains. In the worst case, some bands may have changed as much as 2% in uncompensated absolute calibration over the 12 years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","doi":"10.1109/TGRS.2011.2169803","usgsCitation":"Markham, B.L., Haque, M., Barsi, J., Micijevic, E., Helder, D., Thome, K.J., Aaron, D., and Czapla-Myers, J.S., 2012, Landsat-7 ETM+: 12 years on-orbit reflective-band radiometric performance: IEEE Transactions on Geoscience and Remote Sensing, v. 50, no. 5, p. 2056-2062, https://doi.org/10.1109/TGRS.2011.2169803.","productDescription":"7 p.","startPage":"2056","endPage":"2062","ipdsId":"IP-030601","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":474160,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2060/20110022534","text":"External Repository"},{"id":274020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274019,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2011.2169803"}],"volume":"50","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42461e4b03c77dce65a55","contributors":{"authors":[{"text":"Markham, B. L.","contributorId":88872,"corporation":false,"usgs":true,"family":"Markham","given":"B.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haque, M.O. 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":73087,"corporation":false,"usgs":true,"family":"Haque","given":"M.O.","affiliations":[],"preferred":false,"id":473049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barsi, J. A.","contributorId":24085,"corporation":false,"usgs":true,"family":"Barsi","given":"J. A.","affiliations":[],"preferred":false,"id":473046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Micijevic, E. 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":59939,"corporation":false,"usgs":true,"family":"Micijevic","given":"E.","affiliations":[],"preferred":false,"id":473048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helder, D. L. 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":51496,"corporation":false,"usgs":true,"family":"Helder","given":"D. L.","affiliations":[],"preferred":false,"id":473047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thome, K. J.","contributorId":88099,"corporation":false,"usgs":true,"family":"Thome","given":"K.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":473050,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":473052,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Czapla-Myers, J. S.","contributorId":101968,"corporation":false,"usgs":true,"family":"Czapla-Myers","given":"J.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":473053,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70043160,"text":"70043160 - 2012 - ASTER satellite observations for international disaster management","interactions":[],"lastModifiedDate":"2013-04-11T10:34:32","indexId":"70043160","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3130,"text":"Proceedings of IEEE","active":true,"publicationSubtype":{"id":10}},"title":"ASTER satellite observations for international disaster management","docAbstract":"When lives are threatened or lost due to catastrophic disasters, and when massive financial impacts are experienced, international emergency response teams rapidly mobilize to provide urgently required support. Satellite observations of affected areas often provide essential insight into the magnitude and details of the impacts. The large cost and high complexity of developing and operating satellite flight and ground systems encourages international collaboration in acquiring imagery for such significant global events in order to speed delivery of critical information to help those affected, and optimize spectral, spatial, and temporal coverage of the areas of interest. The International Charter-Space and Major Disasters was established to enable such collaboration in sensor tasking during times of crisis and is often activated in response to calls for assistance from authorized users. Insight is provided from a U.S. perspective into sensor support for Charter activations and other disaster events through a description of the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), which has been used to support emergency situations for over a decade through its expedited tasking and near real-time data delivery capabilities. Examples of successes achieved and challenges encountered in international collaboration to develop related systems and fulfill tasking requests suggest operational considerations for new missions as well as areas for future enhancements.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Proceedings of IEEE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/JPROC.2012.2191929","usgsCitation":"Duda, K.A., and Abrams, M., 2012, ASTER satellite observations for international disaster management: Proceedings of IEEE, v. 100, no. 10, p. 2798-2811, https://doi.org/10.1109/JPROC.2012.2191929.","productDescription":"14 p.","startPage":"2798","endPage":"2811","ipdsId":"IP-031247","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":270812,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270811,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/JPROC.2012.2191929"}],"volume":"100","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5167db62e4b0ec0efb666ef4","contributors":{"authors":[{"text":"Duda, K. A.","contributorId":88560,"corporation":false,"usgs":true,"family":"Duda","given":"K.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrams, M.","contributorId":42423,"corporation":false,"usgs":true,"family":"Abrams","given":"M.","affiliations":[],"preferred":false,"id":473079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044410,"text":"70044410 - 2012 - Resolving hyporheic and groundwater components of streambed water flux","interactions":[],"lastModifiedDate":"2013-04-09T15:25:50","indexId":"70044410","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":"Resolving hyporheic and groundwater components of streambed water flux","docAbstract":"Hyporheic and groundwater fluxes typically occur together in permeable sediments beneath flowing stream water. However, streambed water fluxes quantified using the thermal method are usually interpreted as representing either groundwater or hyporheic fluxes. Our purpose was to improve understanding of co-occurring groundwater and hyporheic fluxes using streambed temperature measurements and analysis of one-dimensional heat transport in shallow streambeds. First, we examined how changes in hyporheic and groundwater fluxes affect their relative magnitudes by reevaluating previously published simulations. These indicated that flux magnitudes are largely independent until a threshold is crossed, past which hyporheic fluxes are diminished by much larger (1000-fold) groundwater fluxes. We tested accurate quantification of co-occurring fluxes using one-dimensional approaches that are appropriate for analyzing streambed temperature data collected at field sites. The thermal analytical method, which uses an analytical solution to the one-dimensional heat transport equation, was used to analyze results from a numerical heat transport model, in which hyporheic flow was represented as increased thermal dispersion at shallow depths. We found that co-occurring groundwater and hyporheic fluxes can be quantified in streambeds, although not always accurately. For example, using a temperature time series collected in a sandy streambed, we found that hyporheic and groundwater flow could both be detected when thermal dispersion due to hyporheic flow was significant compared to thermal conduction. We provide guidance for when thermal data can be used to quantify both hyporheic and groundwater fluxes, and we show that neglecting thermal dispersion may affect accuracy and interpretation of estimated streambed water fluxes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","publisherLocation":"Washington, D.C.","doi":"10.1029/2011WR011784","usgsCitation":"Bhaskar, A., Harvey, J.W., and Henry, E.J., 2012, Resolving hyporheic and groundwater components of streambed water flux: Water Resources Research, v. 48, no. 8, W08524, https://doi.org/10.1029/2011WR011784.","productDescription":"W08524","ipdsId":"IP-039262","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":474130,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011wr011784","text":"Publisher Index Page"},{"id":270719,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011WR011784"},{"id":270721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"8","noUsgsAuthors":false,"publicationDate":"2012-08-29","publicationStatus":"PW","scienceBaseUri":"51653872e4b077fa94dae017","contributors":{"authors":[{"text":"Bhaskar, Aditi S.","contributorId":62488,"corporation":false,"usgs":true,"family":"Bhaskar","given":"Aditi S.","affiliations":[],"preferred":false,"id":475539,"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":475537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henry, Eric J.","contributorId":44810,"corporation":false,"usgs":true,"family":"Henry","given":"Eric","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":475538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70043594,"text":"70043594 - 2012 - Effects of hurricanes Katrina and Rita on Louisiana black bear habitat","interactions":[],"lastModifiedDate":"2013-04-17T21:19:08","indexId":"70043594","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hurricanes Katrina and Rita on Louisiana black bear habitat","docAbstract":"The Louisiana black bear (Ursus americanus luteolus) is comprised of 3 subpopulations, each being small, geographically isolated, and vulnerable to extinction. Hurricanes Katrina and Rita struck the Louisiana and Mississippi coasts in 2005, potentially altering habitat occupied by this federally threatened subspecies. We used data collected on radio-telemetered bears from 1993 to 1995 and pre-hurricane landscape data to develop a habitat model based on the Mahalanobis distance (D2) statistic. We then applied that model to post-hurricane landscape data where the telemetry data were collected (i.e., occupied study area) and where bear range expansion might occur (i.e., unoccupied study area) to quantify habitat loss or gain. The D2 model indicated that quality bear habitat was associated with areas of high mast-producing forest density, low water body density, and moderate forest patchiness. Cross-validation and testing on an independent data set in central Louisiana indicated that prediction and transferability of the model were good. Suitable bear habitat decreased from 348 to 345 km2 (0.9%) within the occupied study area and decreased from 34,383 to 33,891 km2 (1.4%) in the unoccupied study area following the hurricanes. Our analysis indicated that bear habitat was not significantly degraded by the hurricanes, although changes that could have occurred on a microhabitat level would be more difficult to detect at the resolution we used. We suggest that managers continue to monitor the possible long-term effects of these hurricanes (e.g., vegetation changes from flooding, introduction of toxic chemicals, or water quality changes).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"BioOne","doi":"10.2192/URSUS-D-11-00032.1","usgsCitation":"Clark, J.D., and Murrow, J.L., 2012, Effects of hurricanes Katrina and Rita on Louisiana black bear habitat: Ursus, v. 23, no. 2, p. 192-205, https://doi.org/10.2192/URSUS-D-11-00032.1.","startPage":"192","endPage":"205","ipdsId":"IP-038563","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":271044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271043,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-11-00032.1"}],"country":"United States","state":"Louisiana","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516fc463e4b05024ef3cd3f2","contributors":{"authors":[{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":473929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murrow, Jennifer L.","contributorId":92945,"corporation":false,"usgs":true,"family":"Murrow","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":473930,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70045116,"text":"70045116 - 2012 - Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment","interactions":[],"lastModifiedDate":"2013-06-17T21:58:09","indexId":"70045116","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment","docAbstract":"When an earthquake occurs, the U. S. Geological Survey (USGS) ShakeMap estimates the extent of potentially damaging shaking and provides overall information regarding the affected areas. The USGS ShakeCast system is a freely-available, post-earthquake situational awareness application that automatically retrieves earthquake shaking data from ShakeMap, compares intensity measures against users’ facilities, sends notifications of potential damage to responsible parties, and generates facility damage assessment maps and other web-based products for emergency managers and responders. We describe notable improvements of the ShakeMap and the ShakeCast applications. We present a design for comprehensive fragility implementation, integrating spatially-varying ground-motion uncertainties into fragility curves for ShakeCast operations. For each facility, an overall inspection priority (or damage assessment) is assigned on the basis of combined component-based fragility curves using pre-defined logic. While regular ShakeCast users receive overall inspection priority designations for each facility, engineers can access the full fragility analyses for further evaluation.","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":"Lin, K., and Wald, D., 2012, Developing ShakeCast statistical fragility analysis framework for rapid post-earthquake assessment, in Proceedings of the 15th World Conference on Earthquake Engineering (15WCEE), Lisbon, Portugal, September 24-28.","ipdsId":"IP-037875","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":273882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273881,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/confluence/download/attachments/204832834/15WCEE_ShakeCast.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c02fe9e4b0ee1529ed3cc4","contributors":{"authors":[{"text":"Lin, K.-W.","contributorId":64775,"corporation":false,"usgs":true,"family":"Lin","given":"K.-W.","email":"","affiliations":[],"preferred":false,"id":476845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":476844,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70042085,"text":"70042085 - 2012 - Radiometric calibration of the Landsat MSS sensor series","interactions":[],"lastModifiedDate":"2013-03-12T14:32:05","indexId":"70042085","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1944,"text":"IEEE Transactions on Geoscience and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Radiometric calibration of the Landsat MSS sensor series","docAbstract":"Multispectral remote sensing of the Earth using Landsat sensors was ushered on July 23, 1972, with the launch of Landsat-1. Following that success, four more Landsat satellites were launched, and each of these carried the Multispectral Scanner System (MSS). These five sensors provided the only consistent multispectral space-based imagery of the Earth's surface from 1972 to 1982. This work focuses on developing both a consistent and absolute radiometric calibration of this sensor system. Cross-calibration of the MSS was performed through the use of pseudoinvariant calibration sites (PICSs). Since these sites have been shown to be stable for long periods of time, changes in MSS observations of these sites were attributed to changes in the sensors themselves. In addition, simultaneous data collections were available for some MSS sensor pairs, and these were also used for cross-calibration. Results indicated substantial differences existed between instruments, up to 16%, and these were reduced to 5% or less across all MSS sensors and bands. Lastly, this paper takes the calibration through the final step and places the MSS sensors on an absolute radiometric scale. The methodology used to achieve this was based on simultaneous data collections by the Landsat-5 MSS and Thematic Mapper (TM) instruments. Through analysis of image data from a PICS location and through compensating for the spectral differences between the two instruments, the Landsat-5 MSS sensor was placed on an absolute radiometric scale based on the Landsat-5 TM sensor. Uncertainties associated with this calibration are considered to be less than 5%.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"IEEE Transactions on Geoscience and Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IEEE","publisherLocation":"Washington, D.C.","doi":"10.1109/TGRS.2011.2171351","usgsCitation":"Helder, D.L., Karki, S., Bhatt, R., Micijevik, E., Aaron, D., and Jasinski, B., 2012, Radiometric calibration of the Landsat MSS sensor series: IEEE Transactions on Geoscience and Remote Sensing, v. 50, no. 6, p. 2380-2399, https://doi.org/10.1109/TGRS.2011.2171351.","productDescription":"20 p.","startPage":"2380","endPage":"2399","ipdsId":"IP-030742","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":269169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269167,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1109/TGRS.2011.2171351"}],"volume":"50","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404e8ee4b089809dbf44ce","contributors":{"authors":[{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":470754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karki, Sadhana","contributorId":64966,"corporation":false,"usgs":true,"family":"Karki","given":"Sadhana","email":"","affiliations":[],"preferred":false,"id":470751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Rajendra","contributorId":95768,"corporation":false,"usgs":true,"family":"Bhatt","given":"Rajendra","email":"","affiliations":[],"preferred":false,"id":470753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Micijevik, Esad 0000-0002-3828-9239","orcid":"https://orcid.org/0000-0002-3828-9239","contributorId":107995,"corporation":false,"usgs":true,"family":"Micijevik","given":"Esad","affiliations":[],"preferred":false,"id":470755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aaron, David","contributorId":83809,"corporation":false,"usgs":false,"family":"Aaron","given":"David","email":"","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":470752,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jasinski, Benjamin","contributorId":31274,"corporation":false,"usgs":true,"family":"Jasinski","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":470750,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70045107,"text":"70045107 - 2012 - Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","interactions":[],"lastModifiedDate":"2013-04-17T20:28:09","indexId":"70045107","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":"Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24","docAbstract":"[1] Analysis is made of the geomagnetic-activityaaindex covering solar cycle 11 to the beginning of 24, 1868–2011. Autocorrelation shows 27.0-d recurrent geomagnetic activity that is well-known to be prominent during solar-cycle minima; some minima also exhibit a smaller amount of 13.5-d recurrence. Previous work has shown that the recent solar minimum 23–24 exhibited 9.0 and 6.7-d recurrence in geomagnetic and heliospheric data, but those recurrence intervals were not prominently present during the preceding minima 21–22 and 22–23. Using annual-averages and solar-cycle averages of autocorrelations of the historicalaadata, we put these observations into a long-term perspective: none of the 12 minima preceding 23–24 exhibited prominent 9.0 and 6.7-d geomagnetic activity recurrence. We show that the detection of these recurrence intervals can be traced to an unusual combination of sectorial spherical-harmonic structure in the solar magnetic field and anomalously low sunspot number. We speculate that 9.0 and 6.7-d recurrence is related to transient large-scale, low-latitude organization of the solar dynamo, such as seen in some numerical simulations.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1029/2011GL050702","usgsCitation":"Love, J.J., and Rigler, J., 2012, Geomagnetic detection of the sectorial solar magnetic field and the historical peculiarity of minimum 23-24: Geophysical Research Letters, v. 39, L04102, https://doi.org/10.1029/2011GL050702.","productDescription":"L04102","ipdsId":"IP-035584","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474293,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2011gl050702","text":"Publisher Index Page"},{"id":271031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271029,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2011GL050702"},{"id":271030,"type":{"id":11,"text":"Document"},"url":"https://geomag.usgs.gov/downloads/publications/2011GL050702.pdf"}],"country":"United States","volume":"39","noUsgsAuthors":false,"publicationDate":"2012-02-28","publicationStatus":"PW","scienceBaseUri":"516fc464e4b05024ef3cd3fc","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":476815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, J.","contributorId":28513,"corporation":false,"usgs":true,"family":"Rigler","given":"J.","email":"","affiliations":[],"preferred":false,"id":476816,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70038087,"text":"70038087 - 2012 - Estimating discharge measurement uncertainty using the interpolated variance estimator","interactions":[],"lastModifiedDate":"2013-04-20T20:19:00","indexId":"70038087","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Estimating discharge measurement uncertainty using the interpolated variance estimator","docAbstract":"Methods for quantifying the uncertainty in discharge measurements typically identify various sources of uncertainty and then estimate the uncertainty from each of these sources by applying the results of empirical or laboratory studies. If actual measurement conditions are not consistent with those encountered in the empirical or laboratory studies, these methods may give poor estimates of discharge uncertainty. This paper presents an alternative method for estimating discharge measurement uncertainty that uses statistical techniques and at-site observations. This Interpolated Variance Estimator (IVE) estimates uncertainty based on the data collected during the streamflow measurement and therefore reflects the conditions encountered at the site. The IVE has the additional advantage of capturing all sources of random uncertainty in the velocity and depth measurements. It can be applied to velocity-area discharge measurements that use a velocity meter to measure point velocities at multiple vertical sections in a channel cross section.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hydraulic Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ASCE","publisherLocation":"Reston, VA","doi":"10.1061/(ASCE)HY.1943-7900.0000695","usgsCitation":"Cohn, T., Kiang, J., and Mason, R., 2012, Estimating discharge measurement uncertainty using the interpolated variance estimator: Journal of Hydraulic Engineering, v. 139, no. 5, p. 502-510, https://doi.org/10.1061/(ASCE)HY.1943-7900.0000695.","productDescription":"9 p.","startPage":"502","endPage":"510","ipdsId":"IP-022663","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":269975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269974,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1061/(ASCE)HY.1943-7900.0000695"}],"volume":"139","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150207ee4b08df5cb131360","contributors":{"authors":[{"text":"Cohn, T.","contributorId":95353,"corporation":false,"usgs":true,"family":"Cohn","given":"T.","email":"","affiliations":[],"preferred":false,"id":463432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiang, J.","contributorId":31280,"corporation":false,"usgs":true,"family":"Kiang","given":"J.","email":"","affiliations":[],"preferred":false,"id":463430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mason, R. Jr.","contributorId":80155,"corporation":false,"usgs":true,"family":"Mason","given":"R.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":463431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70045106,"text":"70045106 - 2012 - Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","interactions":[],"lastModifiedDate":"2013-06-24T13:42:25","indexId":"70045106","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge","docAbstract":"We describe the on-going developments of PAGER’s loss estimation models, and discuss value-added web content that can be generated related to exposure, damage and loss outputs for a variety of PAGER users. These developments include identifying vulnerable building types in any given area, estimating earthquake-induced damage and loss statistics by building type, and developing visualization aids that help locate areas of concern for improving post-earthquake response efforts. While detailed exposure and damage information is highly useful and desirable, significant improvements are still necessary in order to improve underlying building stock and vulnerability data at a global scale. Existing efforts with the GEM’s GED4GEM and GVC consortia will help achieve some of these objectives. This will benefit PAGER especially in regions where PAGER’s empirical model is less-well constrained; there, the semi-empirical and analytical models will provide robust estimates of damage and losses. Finally, we outline some of the challenges associated with rapid casualty and loss estimation that we experienced while responding to recent large earthquakes worldwide.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"IEM","usgsCitation":"Jaiswal, K.S., and Wald, D., 2012, Improving PAGER's real-time earthquake casualty and loss estimation toolkit: a challenge, in The 15th World Conference on Earthquake Engineering: September 24-28, 2012, Lisbon, Portugal, 10 p.","productDescription":"10 p.","ipdsId":"IP-037996","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":274113,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274112,"type":{"id":11,"text":"Document"},"url":"https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_2539.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c96a66e4b0a50a6e8f57f5","contributors":{"authors":[{"text":"Jaiswal, K. S.","contributorId":105564,"corporation":false,"usgs":false,"family":"Jaiswal","given":"K.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476814,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, D.J. 0000-0002-1454-4514","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":43809,"corporation":false,"usgs":true,"family":"Wald","given":"D.J.","affiliations":[],"preferred":false,"id":476813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043577,"text":"70043577 - 2012 - Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","interactions":[],"lastModifiedDate":"2013-03-25T14:17:22","indexId":"70043577","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3671,"text":"Ursus","active":true,"publicationSubtype":{"id":10}},"title":"Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka","docAbstract":"Bears are large, charismatic mammals whose presence often garners conservation attention. Because healthy bear populations typically require large, contiguous areas of habitat, land conservation actions often are assumed to benefit co-occurring species, including other mammalian carnivores. However, we are not aware of an empirical test of this assumption. We used remote camera data from 2 national parks in Sri Lanka to test the hypothesis that the frequency of detection of sloth bears (Melursus ursinus) is associated with greater richness of carnivore species. We focused on mammalian carnivores because they play a pivotal role in the stability of ecological communities and are among Sri Lanka's most endangered species. Seven of Sri Lanka's carnivores are listed as endangered, vulnerable, or near threatened, and little empirical information exists on their status and distribution. During 2002–03, we placed camera traps at 152 sites to document carnivore species presence. We used Poisson regression to develop predictive models for 3 categories of dependent variables: species richness of (1) all carnivores, (2) carnivores considered at risk, and (3) carnivores of least conservation concern. For each category, we analyzed 8 a priori models based on combinations of sloth bear detections, sample year, and study area and used Akaike's information criterion (AICc) to test our research hypothesis. We detected sloth bears at 55 camera sites and detected 13 of Sri Lanka's 14 Carnivora species. Species richness of all carnivores showed positive associations with the number of sloth bear detections, regardless of study area. Sloth bear detections were also positively associated with species richness of carnivores at risk across both study years and study areas, but not with species richness of common carnivores. Sloth bears may serve as a valuable surrogate species whose habitat protection would contribute to conservation of other carnivores in Sri Lanka.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ursus","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association for Bear Research and Management","publisherLocation":"http://www.bearbiology.com/","doi":"10.2192/URSUS-D-11-00029.1","usgsCitation":"Ratnayeke, S., and van Manen, F., 2012, Assessing sloth bears as surrogates for carnivore conservation in Sri Lanka: Ursus, v. 23, no. 2, p. 206-217, https://doi.org/10.2192/URSUS-D-11-00029.1.","productDescription":"12 p.","startPage":"206","endPage":"217","ipdsId":"IP-040752","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270015,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2192/URSUS-D-11-00029.1"}],"country":"Sri Lanka","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 79.6289,5.9191 ], [ 79.6289,9.8359 ], [ 81.8787,9.8359 ], [ 81.8787,5.9191 ], [ 79.6289,5.9191 ] ] ] } } ] }","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e2e4b087909f0bbe67","contributors":{"authors":[{"text":"Ratnayeke, Shyamala","contributorId":40873,"corporation":false,"usgs":true,"family":"Ratnayeke","given":"Shyamala","affiliations":[],"preferred":false,"id":473876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Manen, Frank T.","contributorId":51172,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank T.","affiliations":[],"preferred":false,"id":473877,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70043572,"text":"70043572 - 2012 - Carbon dioxide stripping in aquaculture -- part III: model verification","interactions":[],"lastModifiedDate":"2013-03-25T15:31:14","indexId":"70043572","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":852,"text":"Aquacultural Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide stripping in aquaculture -- part III: model verification","docAbstract":"Based on conventional mass transfer models developed for oxygen, the use of the non-linear ASCE method, 2-point method, and one parameter linear-regression method were evaluated for carbon dioxide stripping data. For values of KLaCO2 < approximately 1.5/h, the 2-point or ASCE method are a good fit to experimental data, but the fit breaks down at higher values of KLaCO2. How to correct KLaCO2 for gas phase enrichment remains to be determined. The one-parameter linear regression model was used to vary the C*CO2 over the test, but it did not result in a better fit to the experimental data when compared to the ASCE or fixed C*CO2 assumptions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aquacultural Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.aquaeng.2011.12.007","usgsCitation":"Colt, J., Watten, B., and Pfeiffer, T., 2012, Carbon dioxide stripping in aquaculture -- part III: model verification: Aquacultural Engineering, v. 47, p. 47-59, https://doi.org/10.1016/j.aquaeng.2011.12.007.","productDescription":"13 p.","startPage":"47","endPage":"59","ipdsId":"IP-036708","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":270025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270023,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aquaeng.2011.12.007"}],"volume":"47","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515171e4e4b087909f0bbe71","contributors":{"authors":[{"text":"Colt, John","contributorId":63695,"corporation":false,"usgs":true,"family":"Colt","given":"John","email":"","affiliations":[],"preferred":false,"id":473862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watten, Barnaby 0000-0002-2227-8623","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":97788,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":473863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pfeiffer, Tim","contributorId":34792,"corporation":false,"usgs":true,"family":"Pfeiffer","given":"Tim","email":"","affiliations":[],"preferred":false,"id":473861,"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−1) 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":70044071,"text":"70044071 - 2012 - Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk","interactions":[],"lastModifiedDate":"2013-05-09T11:56:16","indexId":"70044071","displayToPublicDate":"2013-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk","docAbstract":"Habitat modifications and supplemental feeding artificially aggregate some wildlife populations, with potential impacts upon contact and parasite transmission rates. Less well recognized, however, is how increased aggregation may affect wildlife physiology. Crowding has been shown to induce stress responses, and increased glucocorticoid (GC) concentrations can reduce immune function and increase disease susceptibility. We investigated the effects of supplemental feeding and the aggregation that it induces on behavior and fecal glucocorticoid metabolite concentrations (fGCM) in elk (Cervus elaphus) using observational and experimental approaches. We first compared fGCM levels of elk on supplemental feedgrounds to neighboring elk populations wintering in native habitats using data from 2003 to 2008. We then experimentally manipulated the distribution of supplemental food on feedgrounds to investigate whether more widely distributed food would result in lower rates of aggression and stress hormone levels. Contrary to some expectations that fed elk may be less stressed than unfed elk during the winter, we found that elk on feedgrounds had fecal GC levels at least 31% higher than non-feedground populations. Within feedgrounds, fGCM levels were strongly correlated with local measures of elk density (r2 = 0.81). Dispersing feed more broadly, however, did not have a detectable effect on fGCM levels or aggression rates. Our results suggest that increases in aggregation associated with winter feedgrounds affects elk physiology, and the resulting increases in fGCM levels are not likely to be mitigated by management efforts that distribute the feed more widely. Additional research is needed to assess whether these increases in fGCMs directly alter parasite transmission and disease dynamics.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.312","usgsCitation":"Forristal, V.E., Creel, S., Taper, M.L., Scurlock, B.M., and Cross, P.C., 2012, Effects of supplemental feeding and aggregation on fecal glucocorticoid metabolite concentrations in elk: Journal of Wildlife Management, v. 76, no. 4, p. 76-4, https://doi.org/10.1002/jwmg.312.","productDescription":"9 p.","startPage":"76","endPage":"4","ipdsId":"IP-014086","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":272136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":272135,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.312"}],"volume":"76","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-12-07","publicationStatus":"PW","scienceBaseUri":"518cc567e4b05ebc8f7cc140","contributors":{"authors":[{"text":"Forristal, Victoria E.","contributorId":32062,"corporation":false,"usgs":true,"family":"Forristal","given":"Victoria","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":474774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Creel, Scott","contributorId":15089,"corporation":false,"usgs":true,"family":"Creel","given":"Scott","affiliations":[],"preferred":false,"id":474773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taper, Mark L.","contributorId":105192,"corporation":false,"usgs":true,"family":"Taper","given":"Mark","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scurlock, Brandon M.","contributorId":93788,"corporation":false,"usgs":false,"family":"Scurlock","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":6917,"text":"Wyoming Game and Fish Department, Laramie, USA","active":true,"usgs":false}],"preferred":false,"id":474775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":474772,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}