This study synthesizes available information and estimates the location and quantity of undiscovered copper associated with a late Permian bituminous shale, the Kupferschiefer, of the Southern Permian Basin in Europe. The purpose of this study is to (1) delineate permissive areas (tracts) where undiscovered reduced-facies sediment-hosted stratabound copper deposits could occur within 2.5 kilometers of the surface, (2) provide a database of known reduced-facies-type sediment-hosted stratabound copper deposits and significant prospects, and (3) provide probabilistic estimates of amounts of undiscovered copper that could be present within each tract. This assessment is a contribution to a global assessment conducted by the U.S. Geological Survey (USGS).
\n\n
Permissive tracts are delineated by mapping the extent of the Kupferschiefer that overlies reservoir-facies red beds of the lower Permian Rotliegend Group. More than 78 million metric tons (Mt) of copper have been produced or delineated as resources in the assessed tracts, with more than 90 percent of the known mineral endowment located in Poland. Mines in Poland are developing the deposit at depths ranging from about 500 to 1,400 meters.
\n\n
Two approaches are used to estimate in-situ amounts of undiscovered copper. The three-part form of assessment was applied to the entire study area. In this approach, numbers of undiscovered deposits are estimated and combined with tonnage-grade models to probabilistically forecast the amount of undiscovered copper. For Poland, drill-hole data were available, and Gaussian geostatistical simulation techniques were used to probabilistically estimate the amount of undiscovered copper. The assessment was done in September 2010 using a three-part form of mineral resource assessment and in January 2012 using Gaussian geostatistical simulation.
\n\n
Using the three-part form of assessment, a mean of 126 Mt of undiscovered copper is predicted in 4 assessed permissive tracts. Seventy-five percent of the mean amount of undiscovered copper (96 Mt) is associated with a tract in southwest Poland. For this same permissive tract in Poland, Gaussian geostatistical simulation techniques indicate a mean of 62 Mt of copper based on copper surface-density data from drill holes.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Global mineral resource assessment (Scientific Investigations Report 2010-5090)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105090U","collaboration":"Prepared in cooperation with the Polish Geological Institute–National Research Institute","usgsCitation":"Zientek, M.L., Oszczepalski, S., Parks, H.L., Bliss, J.D., Borg, G., Box, S.E., Denning, P., Hayes, T.S., Spieth, V., and Taylor, C.D., 2015, Assessment of undiscovered copper resources associated with the Permian Kupferschiefer, Southern Permian Basin, Europe: U.S. Geological Survey Scientific Investigations Report 2010-5090, Report: x, 94 p.; 2 Plates: 17.00 × 11.00 inches; Spatial Data, https://doi.org/10.3133/sir20105090U.","productDescription":"Report: x, 94 p.; 2 Plates: 17.00 × 11.00 inches; Spatial Data","numberOfPages":"108","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051821","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":297370,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20105090U.gif"},{"id":297369,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/u/pdf/Fig12.pdf","text":"Figure 12","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 12","linkHelpText":"Map showing final permissive tracts delineated for reduced-facies sediment-hosted stratabound copper deposits in the Southern Permian Basin, northern Europe. Inset shows the location of the former East Germany and West Germany, as well as the province of Silesia."},{"id":297368,"rank":1,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2010/5090/u/pdf/Fig07.pdf","text":"Figure 7","linkFileType":{"id":1,"text":"pdf"},"description":"Figure 7","linkHelpText":"Map of the Southern Permian Basin, northern Europe, showing sulfide and oxide mineral zones developed in rocks near the base of the Zechstein Group."},{"id":297367,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2010/5090/u/GIS_SIR2010-5090-U.zip","text":"GIS package","linkFileType":{"id":6,"text":"zip"},"description":"GIS package"},{"id":297362,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5090/u/"},{"id":297366,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2010/5090/u/pdf/sir2010-5090-U.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"otherGeospatial":"Europe, Southern Permian Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -1.40625,\n 54.77534585936447\n ],\n [\n -2.109375,\n 39.90973623453719\n ],\n [\n 41.484375,\n 40.44694705960048\n ],\n [\n 37.6171875,\n 58.99531118795094\n ],\n [\n -1.40625,\n 54.77534585936447\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"This report is Chapter U in Global mineral resource assessment. For more information, see: Scientific Investigations Report 2010-5090.","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a57e4b08de9379b2ff3","contributors":{"authors":[{"text":"Zientek, Michael L. 0000-0002-8522-9626 mzientek@usgs.gov","orcid":"https://orcid.org/0000-0002-8522-9626","contributorId":2420,"corporation":false,"usgs":true,"family":"Zientek","given":"Michael","email":"mzientek@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oszczepalski, Slawomir","contributorId":138802,"corporation":false,"usgs":false,"family":"Oszczepalski","given":"Slawomir","email":"","affiliations":[{"id":12529,"text":"Polish Geological Institute, Warsaw, Poland","active":true,"usgs":false}],"preferred":false,"id":538784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parks, Heather L. 0000-0002-5917-6866 hparks@usgs.gov","orcid":"https://orcid.org/0000-0002-5917-6866","contributorId":4989,"corporation":false,"usgs":true,"family":"Parks","given":"Heather","email":"hparks@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bliss, James D. jbliss@usgs.gov","contributorId":2790,"corporation":false,"usgs":true,"family":"Bliss","given":"James","email":"jbliss@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borg, Gregor","contributorId":138803,"corporation":false,"usgs":false,"family":"Borg","given":"Gregor","email":"","affiliations":[{"id":12530,"text":"Martin-Luther-University Halle-Wittenberg, Halle, Germany","active":true,"usgs":false}],"preferred":false,"id":538785,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denning, Paul pdenning@usgs.gov","contributorId":168842,"corporation":false,"usgs":true,"family":"Denning","given":"Paul","email":"pdenning@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":538810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayes, Timothy S. thayes@usgs.gov","contributorId":1547,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy","email":"thayes@usgs.gov","middleInitial":"S.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":538787,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spieth, Volker","contributorId":138804,"corporation":false,"usgs":false,"family":"Spieth","given":"Volker","email":"","affiliations":[{"id":12531,"text":"V.S. Globalmetal LLC, Tucson, Arizona, United States","active":true,"usgs":false}],"preferred":false,"id":538790,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, Cliff D. 0000-0001-6376-6298 ctaylor@usgs.gov","orcid":"https://orcid.org/0000-0001-6376-6298","contributorId":1283,"corporation":false,"usgs":true,"family":"Taylor","given":"Cliff","email":"ctaylor@usgs.gov","middleInitial":"D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":538791,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70142252,"text":"70142252 - 2015 - Concentrations of hormones, pharmaceuticals and other micropollutants in groundwater affected by septic systems in New England and New York","interactions":[],"lastModifiedDate":"2021-05-28T14:04:28.503272","indexId":"70142252","displayToPublicDate":"2015-01-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Concentrations of hormones, pharmaceuticals and other micropollutants in groundwater affected by septic systems in New England and New York","docAbstract":"Septic-system discharges can be an important source of micropollutants (including pharmaceuticals and endocrine active compounds) to adjacent groundwater and surface water systems. Groundwater samples were collected from well networks tapping glacial till in New England (NE) and sandy surficial aquifer New York (NY) during one sampling round in 2011. The NE network assesses the effect of a single large septic system that receives discharge from an extended health care facility for the elderly. The NY network assesses the effect of many small septic systems used seasonally on a densely populated portion of Fire Island. The data collected from these two networks indicate that hydrogeologic and demographic factors affect micropollutant concentrations in these systems.
\nThe highest micropollutant concentrations from the NE network were present in samples collected from below the leach beds and in a well downgradient of the leach beds. Total concentrations for personal care/domestic use compounds, pharmaceutical compounds and plasticizer compounds generally ranged from 1 to over 20 μg/L in the NE network samples. High tris(2-butoxyethyl phosphate) plasticizer concentrations in wells beneath and downgradient of the leach beds (> 20 μg/L) may reflect the presence of this compound in cleaning agents at the extended health-care facility.
\nThe highest micropollutant concentrations for the NY network were present in the shoreline wells and reflect groundwater that is most affected by septic system discharges. One of the shoreline wells had personal care/domestic use, pharmaceutical, and plasticizer concentrations ranging from 0.4 to 5.7 μg/L. Estradiol equivalency quotient concentrations were also highest in a shoreline well sample (3.1 ng/L). Most micropollutant concentrations increase with increasing specific conductance and total nitrogen concentrations for shoreline well samples. These findings suggest that septic systems serving institutional settings and densely populated areas in coastal settings may be locally important sources of micropollutants to adjacent aquifer and marine systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.12.067","usgsCitation":"Phillips, P., Schubert, C., Argue, D.M., Fisher, I., Furlong, E.T., Foreman, W., Gray, J.L., and Chalmers, A.T., 2015, Concentrations of hormones, pharmaceuticals and other micropollutants in groundwater affected by septic systems in New England and New York: Science of the Total Environment, v. 512-513, p. 43-54, https://doi.org/10.1016/j.scitotenv.2014.12.067.","productDescription":"12 p.","startPage":"43","endPage":"54","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057986","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":298242,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"New England","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.87060546875,\n 40.74725696280421\n ],\n [\n -79.87060546875,\n 47.517200697839414\n ],\n [\n -66.5771484375,\n 47.517200697839414\n ],\n [\n -66.5771484375,\n 40.74725696280421\n ],\n [\n -79.87060546875,\n 40.74725696280421\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"512-513","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f6e93be4b02419550d309a","contributors":{"authors":[{"text":"Phillips, Patrick J. pjphilli@usgs.gov","contributorId":856,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick J.","email":"pjphilli@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schubert, Christopher 0000-0002-5137-1229 schubert@usgs.gov","orcid":"https://orcid.org/0000-0002-5137-1229","contributorId":138826,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Argue, Denise M. 0000-0002-1096-5362 dmargue@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-5362","contributorId":2636,"corporation":false,"usgs":true,"family":"Argue","given":"Denise","email":"dmargue@usgs.gov","middleInitial":"M.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fisher, Irene J. ifisher@usgs.gov","contributorId":139546,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene J.","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Furlong, Edward T. 0000-0002-7305-4603 efurlong@usgs.gov","orcid":"https://orcid.org/0000-0002-7305-4603","contributorId":740,"corporation":false,"usgs":true,"family":"Furlong","given":"Edward","email":"efurlong@usgs.gov","middleInitial":"T.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":139099,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gray, James L. 0000-0002-0807-5635 jlgray@usgs.gov","orcid":"https://orcid.org/0000-0002-0807-5635","contributorId":1253,"corporation":false,"usgs":true,"family":"Gray","given":"James","email":"jlgray@usgs.gov","middleInitial":"L.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":541752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541753,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70137896,"text":"ofr20151006 - 2015 - Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon","interactions":[],"lastModifiedDate":"2015-01-16T16:13:41","indexId":"ofr20151006","displayToPublicDate":"2015-01-16T17:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1006","title":"Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon","docAbstract":"A one-dimensional, unsteady streamflow and temperature model (HEC-RAS) of the North Santiam and Santiam Rivers was developed by the U.S. Geological Survey to be used in conjunction with previously developed two-dimensional hydrodynamic water-quality models (CE-QUAL-W2) of Detroit and Big Cliff Lakes upstream of the study area. In conjunction with the output from the previously developed models, the HEC-RAS model can simulate streamflows and temperatures within acceptable limits (mean error [bias] near zero; typical streamflow errors less than 5 percent; typical water temperature errors less than 1.0 °C) for the length of the North Santiam River downstream of Big Cliff Dam under a series of potential future conditions in which dam structures and/or dam operations are modified to improve temperature conditions for threatened and endangered fish. Although a two-dimensional (longitudinal, vertical) CE-QUAL-W2 model for the North Santiam and Santiam Rivers downstream of Big Cliff Dam exists, that model proved unstable under highly variable flow conditions. The one-dimensional HEC-RAS model documented in this report can better simulate cross-sectional-averaged stream temperatures under a wide range of flow conditions.
\nThe model was calibrated using 2011 streamflow and temperature data. Measured data were used as boundary conditions when possible, although several lateral inflows and their associated water temperatures, including the South Santiam River, were estimated using statistical models. Streamflow results showed high accuracy during low-flow periods, but predictions were biased low during large storm events when unmodeled ephemeral tributaries contributed to the actual streamflow. Temperature results showed low annual bias against measured data at two locations on the North Santiam River and one location on the Santiam River. Mean absolute errors using 2011 hourly data ranged from 0.4 to 0.7 °C. Model results were checked against 2012 data and showed a positive bias at the Santiam River station (+0.6 ˚C). Annual mean absolute errors using 2012 hourly data ranged from 0.4 to 0.8 °C.
\nMuch of the error in temperature predictions resulted from the model’s inability to accurately simulate the full range of diurnal fluctuations during the warmest months. Future iterations of the model could be improved by the collection and inclusion of additional streamflow and temperature data, especially near the mouth of the South Santiam River. Presently, the model is able to predict hourly and daily water temperatures under a wide variety of conditions with a typical error of 0.8 and 0.7 °C, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151006","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Stonewall, A., and Buccola, N., 2015, Development of a HEC-RAS temperature model for the North Santiam River, northwestern Oregon: U.S. Geological Survey Open-File Report 2015-1006, v, 26 p., https://doi.org/10.3133/ofr20151006.","productDescription":"v, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-059231","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":297360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151006.JPG"},{"id":297359,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1006/pdf/ofr2015-1006.pdf","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":297358,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1006/"}],"projection":"Oregon State Lambert","datum":"North American Datum of 1983","country":"United States","state":"Oregon","otherGeospatial":"Santiam River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.31054687499999,\n 43.88205730390537\n ],\n [\n -123.31054687499999,\n 45.48324350868221\n ],\n [\n -119.9871826171875,\n 45.48324350868221\n ],\n [\n -119.9871826171875,\n 43.88205730390537\n ],\n [\n -123.31054687499999,\n 43.88205730390537\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a68e4b08de9379b3041","contributors":{"authors":[{"text":"Stonewall, Adam J. 0000-0002-3277-8736 stonewal@usgs.gov","orcid":"https://orcid.org/0000-0002-3277-8736","contributorId":2699,"corporation":false,"usgs":true,"family":"Stonewall","given":"Adam J.","email":"stonewal@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buccola, Norman L. nbuccola@usgs.gov","contributorId":4295,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman L.","email":"nbuccola@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":538782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70138461,"text":"70138461 - 2015 - The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems","interactions":[],"lastModifiedDate":"2015-01-16T09:20:34","indexId":"70138461","displayToPublicDate":"2015-01-16T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems","docAbstract":"Since the 1970s, there has been both continuing and growing interest in developing accurate estimates of the annual fluvial transport (fluxes and loads) of suspended sediment and sediment-associated chemical constituents. This study provides an evaluation of the effects of manual sample numbers (from 4 to 12 year−1) and sample scheduling (random-based, calendar-based and hydrology-based) on the precision, bias and accuracy of annual suspended sediment flux estimates. The evaluation is based on data from selected US Geological Survey daily suspended sediment stations in the USA and covers basins ranging in area from just over 900 km2 to nearly 2 million km2 and annual suspended sediment fluxes ranging from about 4 Kt year−1 to about 200 Mt year−1. The results appear to indicate that there is a scale effect for random-based and calendar-based sampling schemes, with larger sample numbers required as basin size decreases. All the sampling schemes evaluated display some level of positive (overestimates) or negative (underestimates) bias. The study further indicates that hydrology-based sampling schemes are likely to generate the most accurate annual suspended sediment flux estimates with the fewest number of samples, regardless of basin size. This type of scheme seems most appropriate when the determination of suspended sediment concentrations, sediment-associated chemical concentrations, annual suspended sediment and annual suspended sediment-associated chemical fluxes only represent a few of the parameters of interest in multidisciplinary, multiparameter monitoring programmes. The results are just as applicable to the calibration of autosamplers/suspended sediment surrogates currently used to measure/estimate suspended sediment concentrations and ultimately, annual suspended sediment fluxes, because manual samples are required to adjust the sample data/measurements generated by these techniques so that they provide depth-integrated and cross-sectionally representative data.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10172","usgsCitation":"Horowitz, A.J., Clarke, R.T., and Merten, G.H., 2015, The effects of sample scheduling and sample numbers on estimates of the annual fluxes of suspended sediment in fluvial systems: Hydrological Processes, v. 29, no. 4, p. 531-543, https://doi.org/10.1002/hyp.10172.","productDescription":"13 p.","startPage":"531","endPage":"543","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052797","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"links":[{"id":297316,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"54dd2abfe4b08de9379b31ce","contributors":{"authors":[{"text":"Horowitz, Arthur J. 0000-0002-3296-730X horowitz@usgs.gov","orcid":"https://orcid.org/0000-0002-3296-730X","contributorId":1400,"corporation":false,"usgs":true,"family":"Horowitz","given":"Arthur","email":"horowitz@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Robin T.","contributorId":138769,"corporation":false,"usgs":false,"family":"Clarke","given":"Robin","email":"","middleInitial":"T.","affiliations":[{"id":12521,"text":"Department of Geosciences Georgia State University","active":true,"usgs":false}],"preferred":false,"id":538681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Merten, Gustavo Henrique","contributorId":138770,"corporation":false,"usgs":false,"family":"Merten","given":"Gustavo","email":"","middleInitial":"Henrique","affiliations":[{"id":12522,"text":"Federal University of Rio Grande do Sul Hydraulic Research Institute","active":true,"usgs":false}],"preferred":false,"id":538682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142204,"text":"70142204 - 2015 - Evaluation of selected static methods used to estimate element mobility, acid-generating and acid-neutralizing potentials associated with geologically diverse mining wastes","interactions":[],"lastModifiedDate":"2018-11-19T10:08:43","indexId":"70142204","displayToPublicDate":"2015-01-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of selected static methods used to estimate element mobility, acid-generating and acid-neutralizing potentials associated with geologically diverse mining wastes","docAbstract":"A comparison study of selected static leaching and acid–base accounting (ABA) methods using a mineralogically diverse set of 12 modern-style, metal mine waste samples was undertaken to understand the relative performance of the various tests. To complement this study, in-depth mineralogical studies were conducted in order to elucidate the relationships between sample mineralogy, weathering features, and leachate and ABA characteristics. In part one of the study, splits of the samples were leached using six commonly used leaching tests including paste pH, the U.S. Geological Survey (USGS) Field Leach Test (FLT) (both 5-min and 18-h agitation), the U.S. Environmental Protection Agency (USEPA) Method 1312 SPLP (both leachate pH 4.2 and leachate pH 5.0), and the USEPA Method 1311 TCLP (leachate pH 4.9). Leachate geochemical trends were compared in order to assess differences, if any, produced by the various leaching procedures. Results showed that the FLT (5-min agitation) was just as effective as the 18-h leaching tests in revealing the leachate geochemical characteristics of the samples. Leaching results also showed that the TCLP leaching test produces inconsistent results when compared to results produced from the other leaching tests. In part two of the study, the ABA was determined on splits of the samples using both well-established traditional static testing methods and a relatively quick, simplified net acid–base accounting (NABA) procedure. Results showed that the traditional methods, while time consuming, provide the most in-depth data on both the acid generating, and acid neutralizing tendencies of the samples. However, the simplified NABA method provided a relatively fast, effective estimation of the net acid–base account of the samples. Overall, this study showed that while most of the well-established methods are useful and effective, the use of a simplified leaching test and the NABA acid–base accounting method provide investigators fast, quantitative tools that can be used to provide rapid, reliable information about the leachability of metals and other constituents of concern, and the acid-generating potential of metal mining waste.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2014.12.007","usgsCitation":"Hageman, P.L., Seal, R.R., Diehl, S.F., Piatak, N., and Lowers, H., 2015, Evaluation of selected static methods used to estimate element mobility, acid-generating and acid-neutralizing potentials associated with geologically diverse mining wastes: Applied Geochemistry, v. 57, p. 125-139, https://doi.org/10.1016/j.apgeochem.2014.12.007.","productDescription":"15 p.","startPage":"125","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057661","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":472332,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2014.12.007","text":"Publisher Index Page"},{"id":298238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f6e943e4b02419550d309f","chorus":{"doi":"10.1016/j.apgeochem.2014.12.007","url":"http://dx.doi.org/10.1016/j.apgeochem.2014.12.007","publisher":"Elsevier BV","authors":"Hageman Philip L., Seal Robert R., Diehl Sharon F., Piatak Nadine M., Lowers Heather A.","journalName":"Applied Geochemistry","publicationDate":"6/2015","auditedOn":"3/14/2015","publiclyAccessibleDate":"1/13/2015"},"contributors":{"authors":[{"text":"Hageman, Philip L. 0000-0002-3440-2150 phageman@usgs.gov","orcid":"https://orcid.org/0000-0002-3440-2150","contributorId":811,"corporation":false,"usgs":true,"family":"Hageman","given":"Philip","email":"phageman@usgs.gov","middleInitial":"L.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":541719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seal, Robert R. rseal@usgs.gov","contributorId":127495,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":541720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diehl, Sharon F. diehl@usgs.gov","contributorId":1089,"corporation":false,"usgs":true,"family":"Diehl","given":"Sharon","email":"diehl@usgs.gov","middleInitial":"F.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":541721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":127494,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine M.","email":"npiatak@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":541722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":710,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":541723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70138234,"text":"70138234 - 2015 - Mortality estimation from carcass searches using the R-package carcass: a tutorial","interactions":[],"lastModifiedDate":"2017-11-22T18:00:53","indexId":"70138234","displayToPublicDate":"2015-01-15T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"Mortality estimation from carcass searches using the R-package carcass: a tutorial","docAbstract":"This article is a tutorial for the R-package carcass. It starts with a short overview of common methods used to estimate mortality based on carcass searches. Then, it guides step by step through a simple example. First, the proportion of animals that fall into the search area is estimated. Second, carcass persistence time is estimated based on experimental data. Third, searcher efficiency is estimated. Fourth, these three estimated parameters are combined to obtain the probability that an animal killed is found by an observer. Finally, this probability is used together with the observed number of carcasses found to obtain an estimate for the total number of killed animals together with a credible interval.
","language":"English","publisher":"Nordic Board for Wildlife Research","doi":"10.2981/wlb.00094","usgsCitation":"Korner-Nievergelt, F., Behr, O., Brinkmann, R., Etterson, M.A., Huso, M.M., Dalthorp, D., Korner-Nievergelt, P., Roth, T., and Niermann, I., 2015, Mortality estimation from carcass searches using the R-package carcass: a tutorial: Wildlife Biology, v. 21, no. 1, p. 30-43, https://doi.org/10.2981/wlb.00094.","productDescription":"14 p.","startPage":"30","endPage":"43","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060851","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":472333,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00094","text":"Publisher Index Page"},{"id":297311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a9be4b08de9379b3133","contributors":{"authors":[{"text":"Korner-Nievergelt, Franzi","contributorId":138759,"corporation":false,"usgs":false,"family":"Korner-Nievergelt","given":"Franzi","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Behr, Oliver","contributorId":138760,"corporation":false,"usgs":false,"family":"Behr","given":"Oliver","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brinkmann, Robert","contributorId":138761,"corporation":false,"usgs":false,"family":"Brinkmann","given":"Robert","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Etterson, Matthew A.","contributorId":108012,"corporation":false,"usgs":false,"family":"Etterson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":538637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huso, Manuela M. P. mhuso@usgs.gov","contributorId":4487,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","middleInitial":"M. P.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":538633,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":538638,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Korner-Nievergelt, Pius","contributorId":138762,"corporation":false,"usgs":false,"family":"Korner-Nievergelt","given":"Pius","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538639,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roth, Tobias","contributorId":138763,"corporation":false,"usgs":false,"family":"Roth","given":"Tobias","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538640,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Niermann, Ivo","contributorId":138764,"corporation":false,"usgs":false,"family":"Niermann","given":"Ivo","email":"","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":538641,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70093447,"text":"70093447 - 2015 - Distribution and dynamics of mangrove forests of South Asia","interactions":[],"lastModifiedDate":"2024-06-13T16:40:05.28636","indexId":"70093447","displayToPublicDate":"2015-01-15T10:05:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and dynamics of mangrove forests of South Asia","docAbstract":"Mangrove forests in South Asia occur along the tidal sea edge of Bangladesh, India, Pakistan, and Sri Lanka. These forests provide important ecosystem goods and services to the region's dense coastal populations and support important functions of the biosphere. Mangroves are under threat from both natural and anthropogenic stressors; however the current status and dynamics of the region's mangroves are poorly understood. We mapped the current extent of mangrove forests in South Asia and identified mangrove forest cover change (gain and loss) from 2000 to 2012 using Landsat satellite data. We also conducted three case studies in Indus Delta (Pakistan), Goa (India), and Sundarbans (Bangladesh and India) to identify rates, patterns, and causes of change in greater spatial and thematic details compared to regional assessment of mangrove forests.
\n\n
Our findings revealed that the areal extent of mangrove forests in South Asia is approximately 1,187,476 ha representing ∼7% of the global total. Our results showed that from 2000 to 2012, 92,135 ha of mangroves were deforested and 80,461 ha were reforested with a net loss of 11,673 ha. In all three case studies, mangrove areas have remained the same or increased slightly, however, the turnover was greater than the net change. Both, natural and anthropogenic factors are responsible for the change and turnover. The major causes of forest cover change are similar throughout the region; however, specific factors may be dominant in specific areas. Major causes of deforestation in South Asia include (i) conversion to other land use (e.g. conversion to agriculture, shrimp farms, development, and human settlement), (ii) over-harvesting (e.g. grazing, browsing and lopping, and fishing), (iii) pollution, (iv) decline in freshwater availability, (v) floodings, (vi) reduction of silt deposition, (vii) coastal erosion, and (viii) disturbances from tropical cyclones and tsunamis. Our analysis in the region's diverse socio-economic and environmental conditions highlights complex patterns of mangrove distribution and change. Results from this study provide important insight to the conservation and management of the important and threatened South Asian mangrove ecosystem.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2014.01.020","usgsCitation":"Giri, C., Long, J., Abbas, S., Murali, R.M., Qamer, F.M., Pengra, B., and Thau, D., 2015, Distribution and dynamics of mangrove forests of South Asia: Journal of Environmental Management, v. 148, p. 10-111, https://doi.org/10.1016/j.jenvman.2014.01.020.","productDescription":"11 p.","startPage":"10","endPage":"111","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053476","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":282104,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh, India, Pakistan, Sri Lanka","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 92.63975132917415,\n 21.34644755383752\n ],\n [\n 92.69636375423357,\n 23.093195331917457\n ],\n [\n 87.03406063425564,\n 22.227478454576186\n ],\n [\n 79.87319001569784,\n 16.25741892146837\n ],\n [\n 79.40076707254411,\n 11.408756432754643\n ],\n [\n 77.40592579978806,\n 8.46469922275864\n ],\n [\n 73.18695686131176,\n 20.790094297154695\n ],\n [\n 72.87074998253325,\n 23.046181487791515\n ],\n [\n 69.00936975468215,\n 25.351149951891756\n ],\n [\n 64.32547281330233,\n 26.060745107911004\n ],\n [\n 61.76183043871745,\n 25.261499790160414\n ],\n [\n 64.21367275692924,\n 24.50573492635114\n ],\n [\n 66.3733274284561,\n 24.544017863708063\n ],\n [\n 68.99849415883313,\n 22.58798715943358\n ],\n [\n 70.015738206263,\n 20.80686582819048\n ],\n [\n 71.72493350853802,\n 19.930230848875425\n ],\n [\n 72.76848440374161,\n 16.482368346929064\n ],\n [\n 75.30190954383363,\n 9.756672722882257\n ],\n [\n 77.5455349971038,\n 6.816882624722439\n ],\n [\n 80.79401300568276,\n 4.854563949254953\n ],\n [\n 82.92883335032462,\n 6.407766545075063\n ],\n [\n 80.88295396453611,\n 11.692367112504456\n ],\n [\n 81.05675184751397,\n 15.286942844019848\n ],\n [\n 86.20876185660052,\n 19.103228519336653\n ],\n [\n 87.5529994234904,\n 20.938076078708463\n ],\n [\n 92.63975132917415,\n 21.34644755383752\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"148","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7685e4b0abf75cf2bf89","contributors":{"authors":[{"text":"Giri, Chandra cgiri@usgs.gov","contributorId":2403,"corporation":false,"usgs":true,"family":"Giri","given":"Chandra","email":"cgiri@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":490014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Jordan 0000-0002-4814-464X jlong@usgs.gov","orcid":"https://orcid.org/0000-0002-4814-464X","contributorId":3609,"corporation":false,"usgs":true,"family":"Long","given":"Jordan","email":"jlong@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":490015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abbas, Sawaid","contributorId":29304,"corporation":false,"usgs":true,"family":"Abbas","given":"Sawaid","email":"","affiliations":[],"preferred":false,"id":490018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murali, R. Mani","contributorId":85505,"corporation":false,"usgs":true,"family":"Murali","given":"R.","email":"","middleInitial":"Mani","affiliations":[],"preferred":false,"id":490019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Qamer, Faisal M.","contributorId":8766,"corporation":false,"usgs":true,"family":"Qamer","given":"Faisal","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pengra, Bruce 0000-0003-2497-8284 bpengra@usgs.gov","orcid":"https://orcid.org/0000-0003-2497-8284","contributorId":5132,"corporation":false,"usgs":true,"family":"Pengra","given":"Bruce","email":"bpengra@usgs.gov","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":490016,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thau, David","contributorId":103581,"corporation":false,"usgs":true,"family":"Thau","given":"David","email":"","affiliations":[],"preferred":false,"id":490020,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70135797,"text":"ds907 - 2015 - Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008-12","interactions":[],"lastModifiedDate":"2016-06-29T13:36:41","indexId":"ds907","displayToPublicDate":"2015-01-15T08:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"907","title":"Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008-12","docAbstract":"Annual county-level pesticide use was estimated for 423 herbicides, insecticides, and fungicides applied to agricultural crops grown in the conterminous United States during 2008–12. For all States except California, pesticide-use data were compiled from proprietary surveys of farm operations located within U.S. Department of Agriculture Crop Reporting Districts (CRDs). Surveyed pesticide-use data were used in conjunction with county annual harvested-crop acres reported by the U.S. Department of Agriculture 2007 and 2012 Censuses of Agriculture and the 2008–11 County Agricultural Production Survey to calculate use rates per harvested-crop acre, or an “estimated pesticide use” (EPest) rate, for each crop by year. County-use estimates were then calculated by multiplying EPest rates by harvested-crop acres for each pesticide crop combination. Use estimates for California were obtained from annual Department of Pesticide Regulation-Pesticide Use Reports.
\nProprietary surveyed pesticide-use data were not available for all CRDs and years. When pesticide-survey data were unavailable for a CRD in a particular year, EPest extrapolated rates were calculated from adjoining or nearby CRDs to ensure that pesticide use was estimated for all counties where harvested-crop acres were reported. Two estimation methods were used—EPest-low and EPest high—and differed in how they treated situations when a CRD was surveyed and pesticide use was not reported for a particular pesticide-by-crop combination. California pesticide-use estimates were not extrapolated; therefore, EPest-low and EPest-high are the same for counties in California.
\nThis data series is a continuation of the 1992–2009 pesticide-use estimates reported by Stone (2013). It is an update of estimates for 2008–9 (Stone, 2013), as well as an update of the 2010–11 preliminary estimates reported by Baker and Stone (2013). EPest values from these compilations (1992–2012) are suitable for making national, regional, and watershed assessments of annual pesticide use. County-level estimates are provided to make it easier to compile watershed assessments; however, users should be aware there is a greater degree of uncertainty in individual county-level estimates when compared to CRD or State-level estimates. This report provides EPest-low and EPest-high annual agricultural pesticide use for counties of the conterminous United States for 423 compounds during 2008–12 in tab-delimited files organized by compound, year, State Federal Information Processing Standard (FIPS) code, county FIPS code, and amount in kilograms (kg).
\nEPest-high county pesticide-use estimates were divided into tables 1 through 7 by pesticide name:
\nTable 1: 2, 4-D through Chlorantraniliprole
Table 2: Chlorethoxyfos through Diflufenzopyr
Table 3: Dimethenamid through Gibberellic acid
Table 4: Glufosinate through Metiram
Table 5: Metolachlor through Propazine
Table 6: Propiconazole through Triasulfuron
Table 7: Tribenuron methyl through Zoxamide
EPest-low county pesticide-use estimates were divided into tables 8 through 14 by pesticide name:
\nTable 8: 2, 4-D through Chlorantraniliprole
Table 9: Chlorethoxyfos through Diflufenzopyr
Table 10: Dimethenamid through Gibberellic acid
Table 11: Glufosinate through Metiram
Table 12: Metolachlor through Propazine
Table 13: Propiconazole through Triasulfuron
Table 14: Tribenuron methyl through Zoxamide
In 2008, the USGS collaborated with the NPS, the Muckleshoot and Puyallup Indian Tribes, and WDFW to develop a protocol tor monitor changes in abundance, population composition, and spatial distribution of elk on summer ranges in MORA and OLYM and winter ranges in OLYM. We developed double-observer sightability (DO-S) models that adjusted raw counts of elk as a function of factors influencing detection probabilities from the air, e.g. vegetation, elk group size, light, elk activity, and pilot experience. We plan to develop DO-S models for both MORA and OLYM summer ranges, but due to radiotelemetry collar failures in OLYM, we do not yet have enough data to model detection probabilities in OLYM.
Intermittently, during 1981–2012, the U.S. Geological Survey sampled sites in the White River and several tributaries in the Indianapolis metropolitan area of Indiana for benthic invertebrates and fish communities. During 1981–87, one study focused on benthic-invertebrate data collection at three sites along the White River. During 1994–96, 21 sites were sampled for benthic invertebrates; after 1999, up to 13 sites were sampled for benthic invertebrates and fish communities. The information collected during these studies was used in conjunction with the Indianapolis Department of Public Works and CWA Authority, Inc., programs to help improve overall health of the White River and its tributaries by reducing combined sewer overflows and other point and non-point sources of pollution in the Indianapolis area.
\nBeginning in 1994, the Ephemeroptera, Plecoptera, and Trichoptera (EPT) Index and Hilsenhoff Biotic Index (HBI) were calculated. Beginning in 1999, the Invertebrate Community Index (ICI) also was calculated from the benthic-invertebrate data. Fish-community data were collected periodically from 1999 to 2012, from which an Index of Biotic Integrity (IBI) was calculated.
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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":538420,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70137864,"text":"70137864 - 2015 - Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation","interactions":[],"lastModifiedDate":"2015-03-09T10:28:04","indexId":"70137864","displayToPublicDate":"2015-01-14T09:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation","docAbstract":"This study employs a hydrogeologic simulation approach to investigate subsurface fluid pressures for a landslide-prone section of the central California, USA, coast known as Devil's Slide. Understanding the relative changes in subsurface fluid pressures is important for systems, such as Devil's Slide, where slope creep can be interrupted by episodic slip events. Surface mapping, exploratory core, tunnel excavation records, and dip meter data were leveraged to conceptualize the parameter space for three-dimensional (3D) Devil's Slide-like simulations. Field observations (i.e. seepage meter, water retention, and infiltration experiments; well records; and piezometric data) and groundwater flow simulation (i.e. one-dimensional vertical, transient, and variably saturated) were used to design the boundary conditions for 3D Devil's Slide-like problems. Twenty-four simulations of steady-state saturated subsurface flow were conducted in a concept-development mode. Recharge, heterogeneity, and anisotropy are shown to increase fluid pressures for failure-prone locations by up to 18.1, 4.5, and 1.8% respectively. Previous estimates of slope stability, driven by simple water balances, are significantly improved upon with the fluid pressures reported here. The results, for a Devil's Slide-like system, provide a foundation for future investigations
","language":"English","publisher":"Wiley","publisherLocation":"Chichester, England","doi":"10.1002/hyp.10267","usgsCitation":"Thomas, M.A., Loague, K., and Voss, C.I., 2015, Fluid pressure responses for a Devil's Slide-like system: problem formulation and simulation: Hydrological Processes, v. 29, no. 6, p. 1450-1465, https://doi.org/10.1002/hyp.10267.","productDescription":"16 p.","startPage":"1450","endPage":"1465","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057308","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":297209,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.52433776855469,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.586554436599386\n ],\n [\n -122.51051902770996,\n 37.57070524233116\n ],\n [\n -122.52433776855469,\n 37.57070524233116\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-07-25","publicationStatus":"PW","scienceBaseUri":"54dd2a79e4b08de9379b308f","contributors":{"authors":[{"text":"Thomas, Matthew A.","contributorId":138657,"corporation":false,"usgs":false,"family":"Thomas","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":12482,"text":"Department of Geological and Environmental Sciences, Stanford University, 450 Serra Mall, Building 320, Stanford, California 94305-2115, USA","active":true,"usgs":false}],"preferred":false,"id":538221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loague, Keith","contributorId":22408,"corporation":false,"usgs":true,"family":"Loague","given":"Keith","affiliations":[],"preferred":false,"id":538222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Clifford I. 0000-0001-5923-2752 cvoss@usgs.gov","orcid":"https://orcid.org/0000-0001-5923-2752","contributorId":1559,"corporation":false,"usgs":true,"family":"Voss","given":"Clifford","email":"cvoss@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":538220,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70121186,"text":"70121186 - 2015 - Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic","interactions":[],"lastModifiedDate":"2018-08-20T18:04:43","indexId":"70121186","displayToPublicDate":"2015-01-13T16:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic","docAbstract":"We provide an expansive analysis of polar bear (Ursus maritimus) circumpolar genetic variation during the last two decades of decline in their sea-ice habitat. We sought to evaluate whether their genetic diversity and structure have changed over this period of habitat decline, how their current genetic patterns compare with past patterns, and how genetic demography changed with ancient fluctuations in climate. Characterizing their circumpolar genetic structure using microsatellite data, we defined four clusters that largely correspond to current ecological and oceanographic factors: Eastern Polar Basin, Western Polar Basin, Canadian Archipelago and Southern Canada. We document evidence for recent (ca. last 1–3 generations) directional gene flow from Southern Canada and the Eastern Polar Basin towards the Canadian Archipelago, an area hypothesized to be a future refugium for polar bears as climate-induced habitat decline continues. Our data provide empirical evidence in support of this hypothesis. The direction of current gene flow differs from earlier patterns of gene flow in the Holocene. From analyses of mitochondrial DNA, the Canadian Archipelago cluster and the Barents Sea subpopulation within the Eastern Polar Basin cluster did not show signals of population expansion, suggesting these areas may have served also as past interglacial refugia. Mismatch analyses of mitochondrial DNA data from polar and the paraphyletic brown bear (U. arctos) uncovered offset signals in timing of population expansion between the two species, that are attributed to differential demographic responses to past climate cycling. Mitogenomic structure of polar bears was shallow and developed recently, in contrast to the multiple clades of brown bears. We found no genetic signatures of recent hybridization between the species in our large, circumpolar sample, suggesting that recently observed hybrids represent localized events. Documenting changes in subpopulation connectivity will allow polar nations to proactively adjust conservation actions to continuing decline in sea-ice habitat.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0112021","usgsCitation":"Peacock, E.L., Sonsthagen, S.A., Obbard, M.E., Boltunov, A.N., Regehr, E.V., Ovsyanikov, N., Aars, J., Atkinson, S.N., Sage, G.K., Hope, A.G., Zeyl, E., Bachmann, L., Ehrich, D., Scribner, K.T., Amstrup, S.C., Belikov, S., Born, E.W., Derocher, A.E., Stirling, I., Taylor, M.K., Wiig, Ø., Paetkau, D., and Talbot, S.L., 2015, Implications of the circumpolar genetic structure of polar bears for their conservation in a rapidly warming Arctic: PLoS ONE, v. 10, no. 1, e112021; 30 p., https://doi.org/10.1371/journal.pone.0112021.","productDescription":"e112021; 30 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051731","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":472338,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0112021","text":"Publisher Index Page"},{"id":297194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Arctic","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -172.96875,\n 45.336701909968106\n ],\n [\n -172.96875,\n 85.02070774312594\n ],\n [\n 180.703125,\n 85.02070774312594\n ],\n [\n 180.703125,\n 45.336701909968106\n ],\n [\n -172.96875,\n 45.336701909968106\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-01-06","publicationStatus":"PW","scienceBaseUri":"54dd2a88e4b08de9379b30d8","contributors":{"authors":[{"text":"Peacock, Elizabeth L. 0000-0001-7279-0329 lpeacock@usgs.gov","orcid":"https://orcid.org/0000-0001-7279-0329","contributorId":3361,"corporation":false,"usgs":true,"family":"Peacock","given":"Elizabeth","email":"lpeacock@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":519250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":538226,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":538227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boltunov, Andrei N.","contributorId":98682,"corporation":false,"usgs":false,"family":"Boltunov","given":"Andrei","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":538228,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. 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groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","interactions":[],"lastModifiedDate":"2015-01-13T15:17:29","indexId":"tm3B10","displayToPublicDate":"2015-01-13T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3-B10","title":"U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data","docAbstract":"This report is a user guide for the streamflow-hydrograph analysis methods provided with version 1.0 of the U.S. Geological Survey (USGS) Groundwater Toolbox computer program. These include six hydrograph-separation methods to determine the groundwater-discharge (base-flow) and surface-runoff components of streamflow—the Base-Flow Index (BFI; Standard and Modified), HYSEP (Fixed Interval, Sliding Interval, and Local Minimum), and PART methods—and the RORA recession-curve displacement method and associated RECESS program to estimate groundwater recharge from streamflow data. The Groundwater Toolbox is a customized interface built on the nonproprietary, open source MapWindow geographic information system software. The program provides graphing, mapping, and analysis capabilities in a Microsoft Windows computing environment. In addition to the four hydrograph-analysis methods, the Groundwater Toolbox allows for the retrieval of hydrologic time-series data (streamflow, groundwater levels, and precipitation) from the USGS National Water Information System, downloading of a suite of preprocessed geographic information system coverages and meteorological data from the National Oceanic and Atmospheric Administration National Climatic Data Center, and analysis of data with several preprocessing and postprocessing utilities. With its data retrieval and analysis tools, the Groundwater Toolbox provides methods to estimate many of the components of the water budget for a hydrologic basin, including precipitation; streamflow; base flow; runoff; groundwater recharge; and total, groundwater, and near-surface evapotranspiration.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: Ground-water techniques in Book 3 Applications of Hydraulics","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm3B10","usgsCitation":"Barlow, P.M., Cunningham, W.L., Zhai, T., and Gray, M., 2015, U.S. Geological Survey groundwater toolbox, a graphical and mapping interface for analysis of hydrologic data (version 1.0): user guide for estimation of base flow, runoff, and groundwater recharge from streamflow data: U.S. Geological Survey Techniques and Methods 3-B10, Report: vii, 27 p.; Groundwater Toolbox, https://doi.org/10.3133/tm3B10.","productDescription":"Report: vii, 27 p.; Groundwater Toolbox","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056037","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":297199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm3B10.jpg"},{"id":297197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/03/b10/pdf/tm3-b10.pdf","text":"Report","size":"1.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297198,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://water.usgs.gov/ogw/gwtoolbox/","text":"Groundwater Toolbox","description":"Groundwater Toolbox","linkHelpText":"A graphical and mapping interface for analysis of hydrologic data"},{"id":297196,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/03/b10/"}],"publicComments":"This report is Chapter 10 of Section B: Ground-water techniques in Book 3 Applications of Hydraulics.","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac4e4b08de9379b31f3","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, William L. wcunning@usgs.gov","contributorId":1198,"corporation":false,"usgs":true,"family":"Cunningham","given":"William","email":"wcunning@usgs.gov","middleInitial":"L.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":525800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhai, Tong","contributorId":127595,"corporation":false,"usgs":false,"family":"Zhai","given":"Tong","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gray, Mark","contributorId":127594,"corporation":false,"usgs":false,"family":"Gray","given":"Mark","email":"","affiliations":[{"id":7072,"text":"Aqua Terra Consultants","active":true,"usgs":false}],"preferred":false,"id":525801,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70116797,"text":"ds868 - 2015 - Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010","interactions":[],"lastModifiedDate":"2017-02-13T14:34:47","indexId":"ds868","displayToPublicDate":"2015-01-13T08:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"868","title":"Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010","docAbstract":"Comprehensive, published, and publicly available data regarding the extent, location, and character of hydraulic fracturing in the United States are scarce. The objective of this data series is to publish data related to hydraulic fracturing in the public domain. The spreadsheets released with this data series contain derivative datasets aggregated temporally and spatially from the commercial and proprietary IHS database of U.S. oil and gas production and well data (IHS Energy, 2011). These datasets, served in 21 spreadsheets in Microsoft Excel (.xlsx) format, outline the geographical distributions of hydraulic fracturing treatments and associated wells (including well drill-hole directions) as well as water volumes, proppants, treatment fluids, and additives used in hydraulic fracturing treatments in the United States from 1947 through 2010. This report also describes the data—extraction/aggregation processing steps, field names and descriptions, field types and sources. An associated scientific investigation report (Gallegos and Varela, 2014) provides a detailed analysis of the data presented in this data series and comparisons of the data and trends to the literature.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds868","usgsCitation":"Gallegos, T.J., and Varela, B.A., 2015, Data regarding hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: U.S. Geological Survey Data Series 868, Report: iv, 11 p.; Downloads Directory, https://doi.org/10.3133/ds868.","productDescription":"Report: iv, 11 p.; Downloads Directory","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1947-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-050902","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":297145,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0868/"},{"id":297146,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0868/pdf/ds868.pdf","text":"Report","size":"292 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297147,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0868/downloads","text":"Downloads Directory","description":"Downloads Directory","linkHelpText":"Contains: spreadsheets in Microsoft Excel format for Volumes, Distributions, Wells, Treatments, and Keys."},{"id":297154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds868.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -177.71484375,\n 24.5271348225978\n ],\n [\n -177.71484375,\n 71.52490903732816\n ],\n [\n -66.09375,\n 71.52490903732816\n ],\n [\n -66.09375,\n 24.5271348225978\n ],\n [\n -177.71484375,\n 24.5271348225978\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a63e4b08de9379b3034","contributors":{"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":5058,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":519051,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116798,"text":"sir20145131 - 2015 - Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature","interactions":[],"lastModifiedDate":"2017-02-13T14:35:30","indexId":"sir20145131","displayToPublicDate":"2015-01-12T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5131","title":"Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature","docAbstract":"Hydraulic fracturing is presently the primary stimulation technique for oil and gas production in low-permeability, unconventional reservoirs. Comprehensive, published, and publicly available information regarding the extent, location, and character of hydraulic fracturing in the United States is scarce. This national spatial and temporal analysis of data on nearly 1 million hydraulically fractured wells and 1.8 million fracturing treatment records from 1947 through 2010 (aggregated in Data Series 868) is used to identify hydraulic fracturing trends in drilling methods and use of proppants, treatment fluids, additives, and water in the United States. These trends are compared to the literature in an effort to establish a common understanding of the differences in drilling methods, treatment fluids, and chemical additives and of how the newer technology has affected the water use volumes and areal distribution of hydraulic fracturing. Historically, Texas has had the highest number of records of hydraulic fracturing treatments and associated wells in the United States documented in the datasets described herein. Water-intensive horizontal/directional drilling has also increased from 6 percent of new hydraulically fractured wells drilled in the United States in 2000 to 42 percent of new wells drilled in 2010. Increases in horizontal drilling also coincided with the emergence of water-based “slick water” fracturing fluids. As such, the most current hydraulic fracturing materials and methods are notably different from those used in previous decades and have contributed to the development of previously inaccessible unconventional oil and gas production target areas, namely in shale and tight-sand reservoirs. Publicly available derivative datasets and locations developed from these analyses are described.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145131","usgsCitation":"Gallegos, T.J., and Varela, B.A., 2015, Trends in hydraulic fracturing distributions and treatment fluids, additives, proppants, and water volumes applied to wells drilled in the United States from 1947 through 2010: data analysis and comparison to the literature: U.S. Geological Survey Scientific Investigations Report 2014-5131, iv, 15 p., https://doi.org/10.3133/sir20145131.","productDescription":"iv, 15 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-050903","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":297130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145131.jpg"},{"id":297129,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5131/pdf/sir2014-5131.pdf#"},{"id":297128,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5131/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2ac3e4b08de9379b31ef","contributors":{"authors":[{"text":"Gallegos, Tanya J. 0000-0003-3350-6473 tgallegos@usgs.gov","orcid":"https://orcid.org/0000-0003-3350-6473","contributorId":2206,"corporation":false,"usgs":true,"family":"Gallegos","given":"Tanya","email":"tgallegos@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":519052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Varela, Brian A. 0000-0001-9849-6742 bvarela@usgs.gov","orcid":"https://orcid.org/0000-0001-9849-6742","contributorId":5058,"corporation":false,"usgs":true,"family":"Varela","given":"Brian","email":"bvarela@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":519053,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70137564,"text":"ofr20141159 - 2015 - Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","interactions":[],"lastModifiedDate":"2015-01-09T12:34:30","indexId":"ofr20141159","displayToPublicDate":"2015-01-09T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1159","title":"Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012","docAbstract":"An oceanographic field study during January through April 2012 investigated processes that control the sediment-transport dynamics near Fire Island, New York. This report describes the project background, field program, instrumentation configuration, and locations of the sensors deploymed. The data collected and supporting meteorological observations are presented as time series plots for data visualization. Additionally, individual, links to the database containing digital data files are available as part of this report.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141159","collaboration":"Prepared in cooperation with the University of South Carolina","usgsCitation":"Armstrong, B., Warner, J., List, J., Martini, M.A., Montgomery, E., Voulgaris, G., and Traykovski, P.A., 2015, Coastal Change Processes Project data report for observations near Fire Island, New York, January to April 2012: U.S. Geological Survey Open-File Report 2014-1159, HTML Document, https://doi.org/10.3133/ofr20141159.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-04-30","ipdsId":"IP-056000","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141159.JPG"},{"id":297095,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1159/"},{"id":297096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1159/ofr2014-1159-title_page.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.4051513671875,\n 40.59935608796518\n ],\n [\n -73.4051513671875,\n 40.76390128094589\n ],\n [\n -72.78854370117188,\n 40.76390128094589\n ],\n [\n -72.78854370117188,\n 40.59935608796518\n ],\n [\n -73.4051513671875,\n 40.59935608796518\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5fe4b08de9379b301e","contributors":{"authors":[{"text":"Armstrong, Brandy N. barmstrong@usgs.gov","contributorId":5897,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy N.","email":"barmstrong@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":2681,"corporation":false,"usgs":true,"family":"Warner","given":"John C.","email":"jcwarner@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"List, Jeffrey H. jlist@usgs.gov","contributorId":127596,"corporation":false,"usgs":true,"family":"List","given":"Jeffrey H.","email":"jlist@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martini, Marinna A. 0000-0002-7757-5158 mmartini@usgs.gov","orcid":"https://orcid.org/0000-0002-7757-5158","contributorId":2456,"corporation":false,"usgs":true,"family":"Martini","given":"Marinna","email":"mmartini@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":537959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Montgomery, Ellyn T. emontgomery@usgs.gov","contributorId":407,"corporation":false,"usgs":true,"family":"Montgomery","given":"Ellyn T.","email":"emontgomery@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":537960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Voulgaris, George","contributorId":26377,"corporation":false,"usgs":false,"family":"Voulgaris","given":"George","email":"","affiliations":[{"id":27143,"text":"University of South Carolina, Columbia, SC","active":true,"usgs":false}],"preferred":false,"id":537961,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Traykovski, Peter A. 0000-0002-8163-6857","orcid":"https://orcid.org/0000-0002-8163-6857","contributorId":69487,"corporation":false,"usgs":false,"family":"Traykovski","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":537962,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70138887,"text":"70138887 - 2015 - Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","interactions":[],"lastModifiedDate":"2015-01-23T14:23:23","indexId":"70138887","displayToPublicDate":"2015-01-09T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management","docAbstract":"Erratum to: Mar Biol (2014) 161:2659–2668 DOI 10.1007/s00227-014-2537-0
\nThe Open Robust Model methods used for analysis in this study were developed by Kendall and Bjorkland (2001) and Kendall (2010). The language used in this manuscript to describe formatting and implementation of data for these analyses was derived heavily from Phillips et al. (2014). Therefore, the wording in the last paragraph of the ‘Materials and methods’ (p. 2662) and in the last paragraph of the ‘Results’ (p. 2663) of our publication is largely identical to the corresponding sections on pp. 865–866 in Phillips et al. (2014). Unfortunately, we did not indicate this adequately, thus proper credit was not given to the contribution of Phillips et al. (2014) in our publication.
","language":"English","publisher":"Springer","usgsCitation":"Lamont, M.M., Fujisaki, I., and Carthy, R.R., 2015, Erratum to: Estimates of vital rates for a declining loggerhead turtle (Caretta caretta) subpopulation: implications for management: Marine Biology, v. 162, no. 2, p. 491-491.","productDescription":"1 p.","startPage":"491","endPage":"491","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061249","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":297490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297489,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007%2Fs00227-014-2598-0"}],"volume":"162","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a70e4b08de9379b3066","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":539161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fujisaki, Ikuko","contributorId":31108,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":539162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond R. 0000-0001-8978-5083 rayc@usgs.gov","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":3685,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","email":"rayc@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":539163,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70126408,"text":"ofr20141207 - 2015 - Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","interactions":[],"lastModifiedDate":"2015-01-26T13:05:44","indexId":"ofr20141207","displayToPublicDate":"2015-01-07T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1207","title":"Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases","docAbstract":"The U.S. Geological Survey (USGS) has compiled a database consisting of three worksheets of central Appalachian basin natural gas analyses and isotopic compositions from published and unpublished sources of 1,282 gas samples from Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia. The database includes field and reservoir names, well and State identification number, selected geologic reservoir properties, and the composition of natural gases (methane; ethane; propane; butane, iso-butane [i-butane]; normal butane [n-butane]; iso-pentane [i-pentane]; normal pentane [n-pentane]; cyclohexane, and hexanes). In the first worksheet, location and American Petroleum Institute (API) numbers from public or published sources are provided for 1,231 of the 1,282 gas samples. A second worksheet of 186 gas samples was compiled from published sources and augmented with public location information and contains carbon, hydrogen, and nitrogen isotopic measurements of natural gas. The third worksheet is a key for all abbreviations in the database. The database can be used to better constrain the stratigraphic distribution, composition, and origin of natural gas in the central Appalachian basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141207","usgsCitation":"Roman Colon, Y.A., and Ruppert, L.F., 2015, Central Appalachian basin natural gas database: distribution, composition, and origin of natural gases: U.S. Geological Survey Open-File Report 2014-1207, Report: iv, 13 p.; Appendix, https://doi.org/10.3133/ofr20141207.","productDescription":"Report: iv, 13 p.; Appendix","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040818","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":297038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141207.jpg"},{"id":297035,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1207/"},{"id":297036,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1207/pdf/ofr2014-1207.pdf","text":"Report","size":"15.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297037,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1207/appendix/ofr2014-1207_appendix1.xlsx","text":"Appendix 1","size":"738 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Appendix 1","linkHelpText":"This is an electronic copy of Appendix 1 that contains three worksheets of central Appalachian Basin Natural Gas Analyses and Isotopic Compositions."}],"country":"United States","state":"Kentucky, Maryland, New York, Ohio, Pennsylvania, Tennessee, Virginia, and West Virginia","otherGeospatial":"Appalachian basin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a5ce4b08de9379b300c","contributors":{"authors":[{"text":"Roman Colon, Yomayra A.","contributorId":120751,"corporation":false,"usgs":true,"family":"Roman Colon","given":"Yomayra","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":519550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":519549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70125302,"text":"sir20145180 - 2015 - Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","interactions":[],"lastModifiedDate":"2015-01-26T13:04:17","indexId":"sir20145180","displayToPublicDate":"2015-01-07T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5180","title":"Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012","docAbstract":"Digital flood-inundation maps for a 39.7-mile reach of the Blue River and selected tributaries (Brush Creek, Indian Creek, and Dyke Branch) at Kansas City, Missouri, and vicinity, were created by the U.S. Geological Survey (USGS) in cooperation with the City of Kansas City, Missouri. The flood-inundation maps, accessed through the USGS Flood-Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the spatial extent and depth of flooding corresponding to selected water levels (stages) at 15 reference streamgages and associated stream reaches in the Blue River Basin. Near-real-time stage data from the streamgages may be obtained from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at selected sites.
\n\n
Flood profiles were computed for each of 15 reaches by means of one-dimensional or two-dimensional hydraulic models. The models were calibrated by using the current stage-streamflow relations at 10 USGS streamgages and documented high-water marks from the flood of June 14, 2010. Hydraulic models were then used to compute water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the National Weather Service Action stage, or near bankfull streamflow, through the stage corresponding to, or exceeding, the estimated 0.2-percent annual exceedance probability flood (500-year recurrence interval flood).
\n\n
The simulated water-surface profiles were then combined with a geographic information system (GIS) terrain model derived from light detection and ranging (lidar) data having a vertical accuracy of less than 0.6 foot and maximum nominal horizontal post spacing of 2.46–3.28 feet to delineate the area flooded at each 1-foot increment of stage. The availability of these flood-inundation maps, along with Internet information regarding current stage from the USGS streamgages and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
\n\n
Additional information in this report includes maps of simulated stream velocity for an 8.2-mile, two-dimensional modeled reach of the Blue River and a Wetland Restoration Suitability Index (WRSI) generated for the study area that was based on hydrologic, topographic, and land-use digital feature layers. The calculated WRSI for the selected flood-plain area ranged from 1 (least suitable for possible wetland mitigation efforts) to 10 (most suitable for possible wetland mitigation efforts). A WRSI of 5 to 10 is most closely associated with existing riparian wetlands in the study area. The WRSI allows for the identification of lands along the Blue River and selected tributaries that are most suitable for restoration or creation of wetlands. Alternatively, the index can be used to identify and avoid disturbances to areas with the highest potential to support healthy sustainable riparian wetlands.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145180","usgsCitation":"Heimann, D.C., Kelly, B.P., and Studley, S.E., 2015, Flood-inundation maps and wetland restoration suitability index for the Blue River and selected tributaries, Kansas City, Missouri, and vicinity, 2012: U.S. Geological Survey Scientific Investigations Report 2014-5180, Report: vii, 23 p.; 7 Tables; Geospatial Data Files, https://doi.org/10.3133/sir20145180.","productDescription":"Report: vii, 23 p.; 7 Tables; Geospatial Data Files","numberOfPages":"36","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058050","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":297020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145180.jpg"},{"id":297016,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5180/"},{"id":297017,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5180/pdf/sir2014-5180.pdf","text":"Report","size":"12.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297018,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/tables_sir2014-5180/","text":"Tables 1, 2, 3, 5, 6, and 8","description":"Tables"},{"id":297019,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2014/5180/downloads/gis_data/","text":"Geospatial Data Files","description":"Geospatial Data Files","linkHelpText":"Contains flood-inundation shapefiles, water-depth grid files, and Wetland Restoration Suitability Index raster file"}],"country":"United States","state":"Missouri","city":"Kansas City","otherGeospatial":"Blue River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.63348388671875,\n 39.11407918425643\n ],\n [\n -94.48104858398438,\n 39.11407918425643\n ],\n [\n -94.48791503906249,\n 39.0373196521048\n ],\n [\n -94.64035034179688,\n 39.04265287290379\n ],\n [\n -94.63348388671875,\n 39.11407918425643\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a77e4b08de9379b3087","contributors":{"authors":[{"text":"Heimann, David C. 0000-0003-0450-2545 dheimann@usgs.gov","orcid":"https://orcid.org/0000-0003-0450-2545","contributorId":3822,"corporation":false,"usgs":true,"family":"Heimann","given":"David","email":"dheimann@usgs.gov","middleInitial":"C.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Brian P. 0000-0001-6378-2837 bkelly@usgs.gov","orcid":"https://orcid.org/0000-0001-6378-2837","contributorId":897,"corporation":false,"usgs":true,"family":"Kelly","given":"Brian","email":"bkelly@usgs.gov","middleInitial":"P.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":519491,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Studley, Seth E. sstudley@usgs.gov","contributorId":5916,"corporation":false,"usgs":true,"family":"Studley","given":"Seth","email":"sstudley@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":519493,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70134481,"text":"ofr20141221 - 2015 - Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","interactions":[],"lastModifiedDate":"2017-11-10T18:24:50","indexId":"ofr20141221","displayToPublicDate":"2015-01-07T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1221","title":"Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts","docAbstract":"Sea-floor sample collection is an important component of a statewide cooperative mapping effort between the U.S. Geological Survey (USGS) and the Massachusetts Office of Coastal Zone Management (CZM). Sediment grab samples, bottom photographs, and video transects were collected within Vineyard Sound and Buzzards Bay in 2010 aboard the research vesselConnecticut. This report contains sample data and related information, including analyses of surficial-sediment grab samples, locations and images of sea-floor photography, survey lines along which sea-floor video was collected, and a classification of benthic biota observed in sea-floor photographs and based on the Coastal and Marine Ecological Classification Standard (CMECS). These sample data and analyses information are used to verify interpretations of geophysical data and are an essential part of geologic maps of the sea floor. These data also provide a valuable inventory of benthic habitat and resources. Geographic information system (GIS) data, maps, and interpretations, produced through the USGS and CZM mapping cooperative, are intended to aid efforts to manage coastal and marine resources and to provide baseline information for research focused on coastal evolution and environmental change.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141221","collaboration":"Prepared in cooperation with the Massachusetts Office of Coastal Zone Management.","usgsCitation":"Ackerman, S.D., Pappal, A.L., Huntley, E.C., Blackwood, D.S., and Schwab, W.C., 2015, Geological sampling data and benthic biota classification: Buzzards Bay and Vineyard Sound, Massachusetts: U.S. Geological Survey Open-File Report 2014-1221, Report: vii, 30 p.; HTML Document, https://doi.org/10.3133/ofr20141221.","productDescription":"Report: vii, 30 p.; HTML Document","numberOfPages":"38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051767","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297011,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141221.jpg"},{"id":297009,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1221/"},{"id":297010,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/pdf/ofr2014-1221_report_508.pdf","text":"Report","size":"6.52 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297527,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1221/ofr2014-1221-title_page.html","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Report"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Buzzards Bay, Vineyard Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.12686157226562,\n 41.49314949080981\n ],\n [\n -70.84259033203125,\n 41.33763822308113\n ],\n [\n -70.49240112304688,\n 41.55792157780418\n ],\n [\n -70.62835693359375,\n 41.78257704086764\n ],\n [\n -71.12686157226562,\n 41.49314949080981\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54dd2a82e4b08de9379b30b1","contributors":{"authors":[{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":526008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pappal, Adrienne L.","contributorId":127623,"corporation":false,"usgs":false,"family":"Pappal","given":"Adrienne","email":"","middleInitial":"L.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntley, Emily C.","contributorId":127624,"corporation":false,"usgs":false,"family":"Huntley","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":7088,"text":"Massachusetts Coastal Zone Management","active":true,"usgs":false}],"preferred":false,"id":526010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Dann S. dblackwood@usgs.gov","contributorId":2457,"corporation":false,"usgs":true,"family":"Blackwood","given":"Dann","email":"dblackwood@usgs.gov","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526011,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":526012,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239258,"text":"70239258 - 2015 - A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin","interactions":[],"lastModifiedDate":"2023-01-05T12:58:38.495393","indexId":"70239258","displayToPublicDate":"2015-01-05T06:55:11","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin","docAbstract":"Canada and the United States collaborated in geophysical survey operations in the Amerasia Basin from 2007 to 2011 using the Canadian icebreaker CCGS Louis S. St. Laurent and the US icebreaker USCGC Healy. Over 15000 km of bathymetry, sub-bottom profiles, and 16-channel seismic reflection data were acquired over the Canada Basin and Alpha Ridge. Expendable sonobuoys were deployed to collect P-wave refraction and wide angle reflection data to define the regional velocity structure of the sedimentary successions. Although the new seismic profiles tie with existing GSC multichannel seismic lines on the Beaufort Shelf, water-bottom multiples obscure direct correlation of deeper stratigraphic horizons and (at best) basement is poorly imaged.
We present a 2-D gravity and magnetic model for the southern Canada Basin margin and Beaufort-Mackenzie Basin integrating the new LSSL data with an existing deep crustal seismic reflection profile. The model crosses the slope region, where bathymetry shallows, base-of-sediments is deep, and basement is not imaged because of the water-bottom multiple. The density values used in the model are constrained by empirical relationships between velocity and density rock properties; however, magnetic susceptibility values are based on typical values for the inferred crustal lithologies. Velocity analyses of the new sonobuoy data provide constraints on the composition of the sediments, and enable quantitative mapping of continental, oceanic, and transitional domains within the Canada Basin. The 2-D gravity and magnetic forward model provides estimates for basement and Moho depths, the distribution and depths of magnetic sources, and visualization of the underlying crustal architecture controlling basin formation.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"OTC Arctic Technology Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"OTC Arctic Technology Conference","conferenceDate":"March 23-25, 2015","conferenceLocation":"Copenhagen, Denmark","language":"English","publisher":"One Petro","doi":"10.4043/25470-MS","usgsCitation":"Oakey, G.N., Saltus, R., and Shimeld, J.W., 2015, A crustal structure model of the Beaufort-Mackenzie Margin, southern Canada Basin, in OTC Arctic Technology Conference Proceedings, Copenhagen, Denmark, March 23-25, 2015, https://doi.org/10.4043/25470-MS.","ipdsId":"IP-061942","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":411426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.5313622288357,\n 71.20442863543764\n ],\n [\n -148.5313622288357,\n 62.45942351557227\n ],\n [\n -129.9064593578879,\n 62.45942351557227\n ],\n [\n -129.9064593578879,\n 71.20442863543764\n ],\n [\n -148.5313622288357,\n 71.20442863543764\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2015-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Oakey, Gordon N.","contributorId":300609,"corporation":false,"usgs":false,"family":"Oakey","given":"Gordon","email":"","middleInitial":"N.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":860941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Saltus, Richard W. 0000-0001-6920-2936","orcid":"https://orcid.org/0000-0001-6920-2936","contributorId":207255,"corporation":false,"usgs":false,"family":"Saltus","given":"Richard W.","affiliations":[{"id":37502,"text":"NOAA-NCEI, 325 Broadway, NOAA E/GC3, Office 1B507, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":860942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shimeld, John W.","contributorId":300610,"corporation":false,"usgs":false,"family":"Shimeld","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":860943,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70199526,"text":"70199526 - 2015 - Robust and resistant semivariogram modelling using a generalized bootstrap","interactions":[],"lastModifiedDate":"2018-09-20T15:45:48","indexId":"70199526","displayToPublicDate":"2015-01-01T15:45:41","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5750,"text":"Journal of the Southern African Institute of Mining and Metallurgy","active":true,"publicationSubtype":{"id":10}},"title":"Robust and resistant semivariogram modelling using a generalized bootstrap","docAbstract":"The bootstrap is a computer-intensive resampling method for estimating
the uncertainty of complex statistical models. We expand on an
application of the bootstrap for inferring semivariogram parameters and
their uncertainty. The model fitted to the median of the bootstrap distribution
of the experimental semivariogram is proposed as an estimator of
the semivariogram. The proposed application is not restricted to normal
data and the estimator is resistant to outliers. Improvements are more
significant for data-sets with less than 100 observations, which are
those for which semivariogram model inference is the most difficult. The
application is illustrated by using it to characterize a synthetic random
field for which the true semivariogram type and parameters are known.
Although climate models forecast warmer temperatures with a high degree of certainty, precipitation is the primary driver of aboveground net primary production (ANPP) in most grasslands. Conversely, variations in temperature seldom are related to patterns of ANPP. Thus forecasting responses to warming is a challenge, and raises the question: how sensitive will grassland ANPP be to warming? We evaluated climate and multi-year ANPP data (67 years) from eight western US grasslands arrayed along mean annual temperature (MAT; ~7-14 °C) and mean annual precipitation (MAP; ~250-500 mm) gradients. Weused regression and analysis of covariance to assess relationships between ANPP and temperature, as well as precipitation (annual and growing season) to evaluate temperature sensitivity of ANPP. We also related ANPP to the standardized precipitation evaporation index (SPEI), which combines precipitation and evapotranspiration to better represent moisture available for plant growth. Regression models indicated that variation in growing season temperature was negatively related to total and graminoid ANPP, but precipitation was a stronger predictor than temperature. Growing season temperature was also a significant parameter in more complex models, but again precipitation was consistently a stronger predictor of ANPP. Surprisingly, neither annual nor growing season SPEI were as strongly related to ANPP as precipitation. We conclude that forecasted warming likely will affect ANPP in these grasslands, but that predicting temperature effects from natural climatic gradients is difficult. This is because, unlike precipitation, warming effects can be positive or negative and moderated by shifts in the C3/C4 ratios of plant communities.
","language":"English","publisher":"Springer-Verlag","publisherLocation":"Berlin","doi":"10.1007/s00442-015-3232-7","usgsCitation":"Mowll, W., Blumenthal, D.M., Cherwin, K., Smith, A., Symstad, A., Vermeire, L., Collins, S., Smith, M., and Knapp, A., 2015, Climatic controls of aboveground net primary production in semi-arid grasslands along a latitudinal gradient portend low sensitivity to warming: Oecologia, v. 177, no. 4, p. 959-969, https://doi.org/10.1007/s00442-015-3232-7.","productDescription":"11 p.","startPage":"959","endPage":"969","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056620","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":298874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298867,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s00442-015-3232-7"}],"volume":"177","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-12","publicationStatus":"PW","scienceBaseUri":"5511393fe4b02e76d75b50d0","contributors":{"authors":[{"text":"Mowll, Whitney","contributorId":139803,"corporation":false,"usgs":false,"family":"Mowll","given":"Whitney","email":"","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. 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Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543055,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":2611,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":543050,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vermeire, Lance","contributorId":139806,"corporation":false,"usgs":false,"family":"Vermeire","given":"Lance","affiliations":[{"id":13278,"text":"USDA-ARS Fort Keogh LARRL. 243 Fort Keogh Road, Miles City, MT","active":true,"usgs":false}],"preferred":false,"id":543056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Collins, Scott L.","contributorId":71307,"corporation":false,"usgs":false,"family":"Collins","given":"Scott L.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":543053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Melinda D.","contributorId":94028,"corporation":false,"usgs":true,"family":"Smith","given":"Melinda D.","affiliations":[],"preferred":false,"id":543057,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Knapp, Alan K.","contributorId":139807,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan K.","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":543058,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70199525,"text":"70199525 - 2015 - Cokriging of compositional balances including a dimension reduction and retrieval of original units","interactions":[],"lastModifiedDate":"2018-09-20T15:26:48","indexId":"70199525","displayToPublicDate":"2015-01-01T15:26:42","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5750,"text":"Journal of the Southern African Institute of Mining and Metallurgy","active":true,"publicationSubtype":{"id":10}},"title":"Cokriging of compositional balances including a dimension reduction and retrieval of original units","docAbstract":"Compositional data constitutes a special class of quantitative measurements involving parts of a whole. The sample space has an algebraic-geometric structure different from that of real-valued data. A subcomposition is a subset of all possible parts. When compositional data values include geographical locations, they are also regionalized variables. In the Earth sciences, geochemical analyses are a common form of regionalized compositional data. Ordinarily, there are measurements only at data locations. Geostatistics has proven to be the standard for spatial estimation of regionalized variables but, in general, the compositional character of the geochemical data has been ignored. This paper presents in detail an application of cokriging for the modelling of compositional data using a method that is consistent with the compositional character of the data. The uncertainty is evaluated by a Monte Carlo procedure. The method is illustrated for the contents of arsenic and iron in groundwaters in Bangladesh, which have the peculiarity of being measured in milligrams per litre, units for which the sum of all parts does not add to a constant. Practical results include maps of estimates of the geochemical elements in the original concentration units, as well as measures of uncertainty, such as the probability that the concentration may exceed a given threshold. Results indicate that probabilities of exceedance in previous studies of the same data are too low.
","language":"English","publisher":"Southern African Institute of Mining and Metallurgy (SAIMM)","usgsCitation":"Pawlowsky-Glahn, V., Egozcue, J., Olea, R., and Pardo-Igúzquiza, E., 2015, Cokriging of compositional balances including a dimension reduction and retrieval of original units: Journal of the Southern African Institute of Mining and Metallurgy, v. 115, no. 1, p. 59-72.","productDescription":"14 p.","startPage":"59","endPage":"72","ipdsId":"IP-052920","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357546,"type":{"id":15,"text":"Index Page"},"url":"https://www.saimm.co.za/publications/journal-papers/list/1?resetfilters=0&clearordering=0&clearfilters=0"},{"id":357565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc03646e4b0fc368eb53ac0","contributors":{"authors":[{"text":"Pawlowsky-Glahn, V.","contributorId":208033,"corporation":false,"usgs":false,"family":"Pawlowsky-Glahn","given":"V.","affiliations":[],"preferred":false,"id":745760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Egozcue, J. J.","contributorId":208034,"corporation":false,"usgs":false,"family":"Egozcue","given":"J. J.","affiliations":[{"id":37680,"text":"Barcelona Spain","active":true,"usgs":false}],"preferred":false,"id":745761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":26436,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pardo-Igúzquiza, E","contributorId":208035,"corporation":false,"usgs":false,"family":"Pardo-Igúzquiza","given":"E","affiliations":[{"id":37681,"text":"2Instituto Geológico y Minero de España (IGME), Ríos Rosas 23, 28003 Madrid, ESP","active":true,"usgs":false}],"preferred":false,"id":745829,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70140577,"text":"70140577 - 2015 - Foraging habits in a generalist predator: sex and age influence habitat selection and resource use among bottlenose dolphins (Tursiops truncatus)","interactions":[],"lastModifiedDate":"2015-02-09T13:34:47","indexId":"70140577","displayToPublicDate":"2015-01-01T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Foraging habits in a generalist predator: sex and age influence habitat selection and resource use among bottlenose dolphins (Tursiops truncatus)","docAbstract":"This study examines resource use (diet, habitat use, and trophic level) within and among demographic groups (males, females, and juveniles) of bottlenose dolphins (Tursiops truncatus). We analyzed the δ13C and δ15N values of 15 prey species constituting 84% of the species found in stomach contents. We used these data to establish a trophic enrichment factor (TEF) to inform dietary analysis using a Bayesian isotope mixing model. We document a TEF of 0‰ and 2.0‰ for δ13C and δ15N, respectively. The dietary results showed that all demographic groups relied heavily on low trophic level seagrass-associated prey. Bayesian standard ellipse areas (SEAb) were calculated to assess diversity in resource use. The SEAb of females was nearly four times larger than that of males indicating varied resource use, likely a consequence of small home ranges and habitat specialization. Juveniles possessed an intermediate SEAb, generally feeding at a lower trophic level compared to females, potentially an effect of natal philopatry and immature foraging skills. The small SEAb of males reflects a high degree of specialization on seagrass associated prey. Patterns in resource use by the demographic groups are likely linked to differences in the relative importance of social and ecological factors.
","language":"English","publisher":"Society for Marine Mammalogy","publisherLocation":"Lawrence, KS","doi":"10.1111/mms.12143","usgsCitation":"Rossman, S., McCabe, E.B., Barros, N.B., Gandhi, H., Ostrom, P.H., Stricker, C.A., and Randall S. Wells, 2015, Foraging habits in a generalist predator: sex and age influence habitat selection and resource use among bottlenose dolphins (Tursiops truncatus): Marine Mammal Science, v. 31, no. 1, p. 155-168, https://doi.org/10.1111/mms.12143.","productDescription":"14 p.","startPage":"155","endPage":"168","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055975","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":297873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297860,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/mms.12143/abstract"}],"volume":"31","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-05-30","publicationStatus":"PW","scienceBaseUri":"54dd2a7ae4b08de9379b3092","contributors":{"authors":[{"text":"Rossman, Sam","contributorId":139130,"corporation":false,"usgs":false,"family":"Rossman","given":"Sam","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":540163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Elizabeth Berens","contributorId":139131,"corporation":false,"usgs":false,"family":"McCabe","given":"Elizabeth","email":"","middleInitial":"Berens","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":540164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barros, Nelio B.","contributorId":139132,"corporation":false,"usgs":false,"family":"Barros","given":"Nelio","email":"","middleInitial":"B.","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":540165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gandhi, Hasand","contributorId":139133,"corporation":false,"usgs":false,"family":"Gandhi","given":"Hasand","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":540166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostrom, Peggy H.","contributorId":139134,"corporation":false,"usgs":false,"family":"Ostrom","given":"Peggy","email":"","middleInitial":"H.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":540167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":540162,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randall S. Wells","contributorId":139135,"corporation":false,"usgs":false,"family":"Randall S. Wells","affiliations":[{"id":12658,"text":"Chicago Zoological Society","active":true,"usgs":false}],"preferred":false,"id":540168,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}