{"pageNumber":"1417","pageRowStart":"35400","pageSize":"25","recordCount":165227,"records":[{"id":70047527,"text":"70047527 - 2013 - USGS Quarterly Report: January 2013-March 2013","interactions":[],"lastModifiedDate":"2013-10-30T13:17:58","indexId":"70047527","displayToPublicDate":"2013-08-08T14:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3702,"text":"WDA Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"USGS Quarterly Report: January 2013-March 2013","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"WDA Newsletter","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","usgsCitation":"Ballmann, A.E., White, C.L., Bodenstein, B., and Buckner, J., 2013, USGS Quarterly Report: January 2013-March 2013: WDA Newsletter, v. 2013, no. July, p. 4-6.","productDescription":"3 p.","startPage":"4","endPage":"6","ipdsId":"IP-048840","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":276234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276233,"type":{"id":11,"text":"Document"},"url":"https://www.wildlifedisease.org/wda/Portals/0/July%202013%20WDA%20Newsletter.pdf"}],"volume":"2013","issue":"July","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629c2","contributors":{"authors":[{"text":"Ballmann, Anne E. 0000-0002-0380-056X aballmann@usgs.gov","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":1153,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","email":"aballmann@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":482267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":482268,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bodenstein, Barb 0000-0001-7946-0103","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":77405,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barb","affiliations":[],"preferred":false,"id":482270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckner, Jennifer","contributorId":32815,"corporation":false,"usgs":true,"family":"Buckner","given":"Jennifer","affiliations":[],"preferred":false,"id":482269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047530,"text":"ofr20131078 - 2013 - Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","interactions":[],"lastModifiedDate":"2013-08-08T13:57:09","indexId":"ofr20131078","displayToPublicDate":"2013-08-08T13:31:00","publicationYear":"2013","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":"2013-1078","title":"Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia","docAbstract":"This digital database is the product of collaboration between the U.S. Geological Survey, the Geophysical Institute at the University of Alaska, Fairbanks; the Los Altos Hills Foothill College GeoSpatial Technology Certificate Program; the Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany; and the Institute of Physical Chemical and Biological Problems in Soil Science of the Russian Academy of Sciences. The primary goal for creating this digital database is to enhance current estimates of soil organic carbon stored in deep permafrost, in particular the late Pleistocene syngenetic ice-rich permafrost deposits of the Yedoma Suite. Previous studies estimated that Yedoma deposits cover about 1 million square kilometers of a large region in central and eastern Siberia, but these estimates generally are based on maps with scales smaller than 1:10,000,000. Taking into account this large area, it was estimated that Yedoma may store as much as 500 petagrams of soil organic carbon, a large part of which is vulnerable to thaw and mobilization from thermokarst and erosion.\n\nTo refine assessments of the spatial distribution of Yedoma deposits, we digitized 11 Russian Quaternary geologic maps. Our study focused on extracting geologic units interpreted by us as late Pleistocene ice-rich syngenetic Yedoma deposits based on lithology, ground ice conditions, stratigraphy, and geomorphological and spatial association. These Yedoma units then were merged into a single data layer across map tiles. The spatial database provides a useful update of the spatial distribution of this deposit for an approximately 2.32 million square kilometers land area in Siberia that will (1) serve as a core database for future refinements of Yedoma distribution in additional regions, and (2) provide a starting point to revise the size of deep but thaw-vulnerable permafrost carbon pools in the Arctic based on surface geology and the distribution of cryolithofacies types at high spatial resolution. However, we recognize that the extent of Yedoma deposits presented in this database is not complete for a global assessment, because Yedoma deposits also occur in the Taymyr lowlands and Chukotka, and in parts of Alaska and northwestern Canada.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131078","usgsCitation":"Grosse, G., Robinson, J., Bryant, R., Taylor, M.D., Harper, W., DeMasi, A., Kyker-Snowman, E., Veremeeva, A., Schirrmeister, L., and Harden, J., 2013, Distribution of late Pleistocene ice-rich syngenetic permafrost of the Yedoma Suite in east and central Siberia, Russia: U.S. Geological Survey Open-File Report 2013-1078, v, 24 p.; Metadata; GIS data, https://doi.org/10.3133/ofr20131078.","productDescription":"v, 24 p.; Metadata; GIS data","numberOfPages":"31","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":276232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131078.jpg"},{"id":276229,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1078/pdf/ofr20131078.pdf"},{"id":276227,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1078/"},{"id":276231,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_GIS.zip"},{"id":276230,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/2013/1078/ofr20131078_metadata.txt"}],"country":"Russia","otherGeospatial":"Siberia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 57.1,42.3 ], [ 57.1,81.3 ], [ -169.0,81.3 ], [ -169.0,42.3 ], [ 57.1,42.3 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd8e4b0403aa62629a6","contributors":{"authors":[{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":482283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Joel E. 0000-0002-5193-3666 jrobins@usgs.gov","orcid":"https://orcid.org/0000-0002-5193-3666","contributorId":2757,"corporation":false,"usgs":true,"family":"Robinson","given":"Joel E.","email":"jrobins@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":482275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bryant, Robin","contributorId":43262,"corporation":false,"usgs":true,"family":"Bryant","given":"Robin","email":"","affiliations":[],"preferred":false,"id":482278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Maxwell D.","contributorId":6360,"corporation":false,"usgs":true,"family":"Taylor","given":"Maxwell","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":482276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harper, William","contributorId":62123,"corporation":false,"usgs":true,"family":"Harper","given":"William","email":"","affiliations":[],"preferred":false,"id":482281,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeMasi, Amy","contributorId":28887,"corporation":false,"usgs":true,"family":"DeMasi","given":"Amy","email":"","affiliations":[],"preferred":false,"id":482277,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kyker-Snowman, Emily","contributorId":54874,"corporation":false,"usgs":true,"family":"Kyker-Snowman","given":"Emily","email":"","affiliations":[],"preferred":false,"id":482280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Veremeeva, Alexandra","contributorId":68637,"corporation":false,"usgs":true,"family":"Veremeeva","given":"Alexandra","affiliations":[],"preferred":false,"id":482282,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schirrmeister, Lutz","contributorId":102777,"corporation":false,"usgs":true,"family":"Schirrmeister","given":"Lutz","affiliations":[],"preferred":false,"id":482284,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Harden, Jennifer","contributorId":46190,"corporation":false,"usgs":true,"family":"Harden","given":"Jennifer","affiliations":[],"preferred":false,"id":482279,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70047523,"text":"ds783 - 2013 - Locations and attributes of wind turbines in New Mexico, 2011","interactions":[],"lastModifiedDate":"2013-08-08T12:56:48","indexId":"ds783","displayToPublicDate":"2013-08-08T12:50:00","publicationYear":"2013","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":"783","title":"Locations and attributes of wind turbines in New Mexico, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 596. Locations and attributes of wind turbines in New Mexico, 2009 (available at http://pubs.usgs.gov/ds/596/).This updated New Mexico wind turbine Data Series provides geospatial data for all 562 wind turbines established within the State of New Mexico as of June 2011, an increase of 155 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. The locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based June 2011 NAIP imagery. The location of turbines under construction during June 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds783","usgsCitation":"Carr, N.B., Diffendorfer, J.B., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in New Mexico, 2011: U.S. Geological Survey Data Series 783, 3 p.; Downloads Directory, https://doi.org/10.3133/ds783.","productDescription":"3 p.; Downloads Directory","numberOfPages":"3","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds783.png"},{"id":276220,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/783/downloads/"},{"id":276218,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/783/"},{"id":276219,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/783/pdf/DS783_abstract-508.pdf"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.05,31.33 ], [ -109.05,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.05,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdae4b0403aa62629b2","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James B.","contributorId":62120,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":482260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":482256,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482254,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047522,"text":"ds782 - 2013 - Locations and attributes of wind turbines in Colorado, 2011","interactions":[],"lastModifiedDate":"2013-08-08T12:42:22","indexId":"ds782","displayToPublicDate":"2013-08-08T12:32:00","publicationYear":"2013","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":"782","title":"Locations and attributes of wind turbines in Colorado, 2011","docAbstract":"This dataset represents an update to U.S. Geological Survey Data Series 597. Locations and attributes of wind turbines in Colorado, 2009 (available at http://pubs.usgs.gov/ds/597/). This updated Colorado wind turbine Data Series provides geospatial data for all 1,204 wind turbines established within the State of Colorado as of September 2011, an increase of 297 wind turbines from 2009.\n\nAttributes specific to each turbine include: turbine location, manufacturer and model, rotor diameter, hub height, rotor height, potential megawatt output, land ownership, county, and development status of the wind turbine. Wind energy facility data for each turbine include: facility name, facility power capacity, number of turbines associated with each facility to date, facility developer, facility ownership, and year the facility went online. The locations of turbines are derived from 1-meter true-color aerial photographs produced by the National Agriculture Imagery Program (NAIP); the photographs have a positional accuracy of about ±5 meters. Locations of turbines constructed during or prior to August 2009 are based on August 2009 NAIP imagery and turbine locations constructed after August 2009 were based on September 2011 NAIP imagery. The location of turbines under construction during September 2011 likely will be less accurate than the location of existing turbines.\n\nThis data series contributes to an Online Interactive Energy Atlas developed by the U.S. Geological Survey (http://my.usgs.gov/eerma/). The Energy Atlas synthesizes data on existing and potential energy development in Colorado and New Mexico and includes additional natural resource data layers. This information may be used by decisionmakers to evaluate and compare the potential benefits and tradeoffs associated with different energy development strategies or scenarios. Interactive maps, downloadable data layers, comprehensive metadata, and decision-support tools also are included in the Energy Atlas. The format of the Energy Atlas is designed to facilitate the integration of information about energy with key terrestrial and aquatic resources for evaluating resource values and minimizing risks from energy development.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds782","usgsCitation":"Carr, N.B., Diffendorfer, J., Fancher, T.S., Hawkins, S.J., Latysh, N., Leib, K.J., and Matherne, A.M., 2013, Locations and attributes of wind turbines in Colorado, 2011: U.S. Geological Survey Data Series 782, 2 p.; Downloads Directory, https://doi.org/10.3133/ds782.","productDescription":"2 p.; Downloads Directory","numberOfPages":"2","onlineOnly":"Y","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds782.png"},{"id":276214,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/782/"},{"id":276215,"type":{"id":1,"text":"Abstract"},"url":"https://pubs.usgs.gov/ds/782/pdf/DS782_abstract-508.pdf"},{"id":276216,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/782/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.06,36.99 ], [ -109.06,41.0 ], [ -102.04,41.0 ], [ -102.04,36.99 ], [ -109.06,36.99 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afd9e4b0403aa62629ae","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482250,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":482252,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawkins, Sarah J. 0000-0002-1878-9121 shawkins@usgs.gov","orcid":"https://orcid.org/0000-0002-1878-9121","contributorId":4818,"corporation":false,"usgs":true,"family":"Hawkins","given":"Sarah","email":"shawkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":482253,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Latysh, Natalie 0000-0003-0149-3962 nlatysh@usgs.gov","orcid":"https://orcid.org/0000-0003-0149-3962","contributorId":1356,"corporation":false,"usgs":true,"family":"Latysh","given":"Natalie","email":"nlatysh@usgs.gov","affiliations":[{"id":5060,"text":"Data Preservation Program","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":482249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leib, Kenneth J. 0000-0002-0373-0768 kjleib@usgs.gov","orcid":"https://orcid.org/0000-0002-0373-0768","contributorId":701,"corporation":false,"usgs":true,"family":"Leib","given":"Kenneth","email":"kjleib@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":482248,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matherne, Anne Marie 0000-0002-5873-2226 matherne@usgs.gov","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":303,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne","email":"matherne@usgs.gov","middleInitial":"Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482247,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70047519,"text":"70047519 - 2013 - Using multi-species occupancy models in structured decision making on managed lands","interactions":[],"lastModifiedDate":"2013-08-08T12:20:21","indexId":"70047519","displayToPublicDate":"2013-08-08T12:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Using multi-species occupancy models in structured decision making on managed lands","docAbstract":"Land managers must balance the needs of a variety of species when manipulating habitats.  Structured decision making provides a systematic means of defining choices and choosing among alternative management options; implementation of a structured decision requires quantitative approaches to predicting consequences of management on the relevant species.  Multi-species occupancy models provide a convenient framework for making structured decisions when the management objective is focused on a collection of species.  These models use replicate survey data that are often collected on managed lands.  Occupancy can be modeled for each species as a function of habitat and other environmental features, and Bayesian methods allow for estimation and prediction of collective responses of groups of species to alternative scenarios of habitat management.  We provide an example of this approach using data from breeding bird surveys conducted in 2008 at the Patuxent Research Refuge in Laurel, Maryland, evaluating the effects of eliminating meadow and wetland habitats on scrub-successional and woodland-breeding bird species using summed total occupancy of species as an objective function.  Removal of meadows and wetlands decreased value of an objective function based on scrub-successional species by 23.3% (95% CI: 20.3–26.5), but caused only a 2% (0.5, 3.5) increase in value of an objective function based on woodland species, documenting differential effects of elimination of meadows and wetlands on these groups of breeding birds.  This approach provides a useful quantitative tool for managers interested in structured decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.442","usgsCitation":"Sauer, J., Blank, P.J., Zipkin, E., Fallon, J.E., and Fallon, F.W., 2013, Using multi-species occupancy models in structured decision making on managed lands: Journal of Wildlife Management, v. 77, no. 1, p. 117-127, https://doi.org/10.1002/jwmg.442.","productDescription":"11 p.","startPage":"117","endPage":"127","numberOfPages":"11","ipdsId":"IP-037742","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276212,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.442"}],"country":"United States","state":"Maryl","otherGeospatial":"Patuxent Research Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.832224,39.0082 ], [ -76.832224,39.092594 ], [ -76.720767,39.092594 ], [ -76.720767,39.0082 ], [ -76.832224,39.0082 ] ] ] } } ] }","volume":"77","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-08-20","publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629c6","contributors":{"authors":[{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482237,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blank, Peter J.","contributorId":97396,"corporation":false,"usgs":true,"family":"Blank","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":482239,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fallon, Jane E. jefallon@usgs.gov","contributorId":4364,"corporation":false,"usgs":true,"family":"Fallon","given":"Jane","email":"jefallon@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":482238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fallon, Frederick W.","contributorId":87448,"corporation":false,"usgs":true,"family":"Fallon","given":"Frederick","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":482240,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047506,"text":"70047506 - 2013 - Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management","interactions":[],"lastModifiedDate":"2013-10-30T13:16:16","indexId":"70047506","displayToPublicDate":"2013-08-08T11:28:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management","docAbstract":"Parks are developing nature play areas to improve children's health and “connect” them with nature. However, these play areas are often located in protected natural areas where managers must balance recreation with associated environmental impacts. In this exploratory study, we sought to describe these impacts. We also investigated which ages, gender, and play group sizes most frequently caused impact and where impacts most frequently occur.\n\nWe measured the lineal and aerial extent and severity of impacts at three play areas in the eastern United States. Methods included soil and vegetation loss calculations, qualitative searches and tree and shrub damage classifications. Additionally, we observed 12 h of play at five play areas. Results showed that measurable negative impacts were caused during 33% of the time children play. On average, 76% of groundcover vegetation was lost at recreation sites and 100% was lost at informal trails. In addition, approximately half of all trees and shrubs at sites were damaged. Meanwhile, soil exposure was 25% greater on sites and trails than at controls. Boys and small group sizes more frequently caused impact, and informal recreation sites were most commonly used for play. No statistically significant correlations were found between age or location and impact frequency.\n\nManagers interested in developing nature play areas should be aware of, but not deterred by these impacts. The societal benefits of unstructured play in nature may outweigh the environmental costs. Recommended management strategies include selecting impact-resistant sites, improving site resistance, promoting low impact practices, and managing adaptively.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Landscape and Urban Planning","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2013.07.004","usgsCitation":"Browning, M.H., Marion, J.L., and Gregoire, T.G., 2013, Sustainably connecting children with nature: an exploratory study of nature play area visitor impacts and their management: Landscape and Urban Planning, v. 119, p. 104-112, https://doi.org/10.1016/j.landurbplan.2013.07.004.","productDescription":"9 p.","startPage":"104","endPage":"112","ipdsId":"IP-045531","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":276209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276208,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.landurbplan.2013.07.004"}],"volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5204afdbe4b0403aa62629be","contributors":{"authors":[{"text":"Browning, Matthew H.E.M.","contributorId":62911,"corporation":false,"usgs":true,"family":"Browning","given":"Matthew","email":"","middleInitial":"H.E.M.","affiliations":[],"preferred":false,"id":482210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marion, Jeffrey L.","contributorId":56322,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":482209,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gregoire, Timothy G.","contributorId":85077,"corporation":false,"usgs":true,"family":"Gregoire","given":"Timothy","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":482211,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047504,"text":"70047504 - 2013 - Demographics of reintroduced populations: estimation, modeling, and decision analysis","interactions":[],"lastModifiedDate":"2013-08-08T11:19:22","indexId":"70047504","displayToPublicDate":"2013-08-08T11:16:54","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Demographics of reintroduced populations: estimation, modeling, and decision analysis","docAbstract":"Reintroduction can be necessary for recovering populations of threatened species. However, the success of reintroduction efforts has been poorer than many biologists and managers would hope. To increase the benefits gained from reintroduction, management decision making should be couched within formal decision-analytic frameworks. Decision analysis is a structured process for informing decision making that recognizes that all decisions have a set of components—objectives, alternative management actions, predictive models, and optimization methods—that can be decomposed, analyzed, and recomposed to facilitate optimal, transparent decisions. Because the outcome of interest in reintroduction efforts is typically population viability or related metrics, models used in decision analysis efforts for reintroductions will need to include population models. In this special section of the Journal of Wildlife Management, we highlight examples of the construction and use of models for informing management decisions in reintroduced populations. In this introductory contribution, we review concepts in decision analysis, population modeling for analysis of decisions in reintroduction settings, and future directions. Increased use of formal decision analysis, including adaptive management, has great potential to inform reintroduction efforts. Adopting these practices will require close collaboration among managers, decision analysts, population modelers, and field biologists.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.590","usgsCitation":"Converse, S., Moore, C., and Armstrong, D., 2013, Demographics of reintroduced populations: estimation, modeling, and decision analysis: Journal of Wildlife Management, v. 77, no. 6, p. 1081-1093, https://doi.org/10.1002/jwmg.590.","productDescription":"13 p.","startPage":"1081","endPage":"1093","ipdsId":"IP-045806","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473602,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.590","text":"Publisher Index Page"},{"id":276207,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276206,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.590"}],"volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-07-11","publicationStatus":"PW","scienceBaseUri":"5204afd7e4b0403aa62629a2","contributors":{"authors":[{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":482208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":482206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Armstrong, Doug P.","contributorId":24675,"corporation":false,"usgs":true,"family":"Armstrong","given":"Doug P.","affiliations":[],"preferred":false,"id":482207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047486,"text":"70047486 - 2013 - A matter of tradeoffs: reintroduction as a multiple objective decision","interactions":[],"lastModifiedDate":"2013-08-07T16:08:54","indexId":"70047486","displayToPublicDate":"2013-08-07T16:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"A matter of tradeoffs: reintroduction as a multiple objective decision","docAbstract":"Decision making in guidance of reintroduction efforts is made challenging by the substantial scientific uncertainty typically involved. However, a less recognized challenge is that the management objectives are often numerous and complex. Decision makers managing reintroduction efforts are often concerned with more than just how to maximize the probability of reintroduction success from a population perspective. Decision makers are also weighing other concerns such as budget limitations, public support and/or opposition, impacts on the ecosystem, and the need to consider not just a single reintroduction effort, but conservation of the entire species. Multiple objective decision analysis is a powerful tool for formal analysis of such complex decisions. We demonstrate the use of multiple objective decision analysis in the case of the Florida non-migratory whooping crane reintroduction effort. In this case, the State of Florida was considering whether to resume releases of captive-reared crane chicks into the non-migratory whooping crane population in that state. Management objectives under consideration included maximizing the probability of successful population establishment, minimizing costs, maximizing public relations benefits, maximizing the number of birds available for alternative reintroduction efforts, and maximizing learning about the demographic patterns of reintroduced whooping cranes. The State of Florida engaged in a collaborative process with their management partners, first, to evaluate and characterize important uncertainties about system behavior, and next, to formally evaluate the tradeoffs between objectives using the Simple Multi-Attribute Rating Technique (SMART). The recommendation resulting from this process, to continue releases of cranes at a moderate intensity, was adopted by the State of Florida in late 2008. Although continued releases did not receive support from the International Whooping Crane Recovery Team, this approach does provide a template for the formal, transparent consideration of multiple, potentially competing, objectives in reintroduction decision making.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/jwmg.472","usgsCitation":"Converse, S., Moore, C., Folk, M.J., and Runge, M.C., 2013, A matter of tradeoffs: reintroduction as a multiple objective decision: Journal of Wildlife Management, v. 77, no. 6, p. 1145-1156, https://doi.org/10.1002/jwmg.472.","productDescription":"12 p.","startPage":"1145","endPage":"1156","ipdsId":"IP-045815","costCenters":[{"id":315,"text":"Georgia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":276185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276177,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.472"},{"id":276178,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1002/jwmg.472/abstract"}],"volume":"77","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-10-08","publicationStatus":"PW","scienceBaseUri":"5203a338e4b02bdb1bc63f58","contributors":{"authors":[{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":482172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Clinton T.","contributorId":9767,"corporation":false,"usgs":true,"family":"Moore","given":"Clinton T.","affiliations":[],"preferred":false,"id":482170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Folk, Martin J.","contributorId":82568,"corporation":false,"usgs":true,"family":"Folk","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":482171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":482169,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046523,"text":"70046523 - 2013 - Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","interactions":[],"lastModifiedDate":"2019-08-06T15:12:43","indexId":"70046523","displayToPublicDate":"2013-08-07T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations","docAbstract":"In a field experiment at Vandenberg Air Force Base (VAFB) designed to mimic the impact of a small-volume release of E10 (10% ethanol and 90% conventional gasoline), two plumes were created by injecting extracted groundwater spiked with benzene, toluene, and o-xylene, abbreviated BToX (No-Ethanol Lane) and BToX plus ethanol (With-Ethanol Lane) for 283 days. We developed a reactive transport model to understand processes controlling the fate of ethanol and BToX. The model was calibrated to the extensive field dataset and accounted for concentrations of sulfate, iron, acetate, and methane along with iron-reducing bacteria, sulfate-reducing bacteria, fermentative bacteria, and methanogenic archaea. The benzene plume was about 4.5 times longer in the With-Ethanol Lane than in the No-Ethanol Lane. Matching this different behavior in the two lanes required inhibiting benzene degradation in the presence of ethanol. Inclusion of iron reduction with negligible growth of iron-reducers was required to reproduce the observed constant degradation rate of benzene. Modeling suggested that vertical dispersion and diffusion of sulfate from an adjacent aquitard were important sources of sulfate in the aquifer. Matching of methane data required incorporating initial fermentation of ethanol to acetate, methane loss by outgassing, and methane oxidation coupled to sulfate and iron reduction. Simulation of microbial growth using dual Monod kinetics, and including inhibition by more favorable electron acceptors, generally resulted in reasonable yields for microbial growth of 0.01-0.05.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20382","usgsCitation":"Rasa, E., Bekins, B.A., Mackay, D.M., de Sieyes, N.R., Wilson, J., Feris, K.P., Wood, I.A., and Scow, K.M., 2013, Impacts of an ethanol-blended fuel release on groundwater and fate of produced methane: simulation of field observations: Water Resources Research, v. 49, no. 8, p. 4907-4926, https://doi.org/10.1002/wrcr.20382.","productDescription":"20 p.","startPage":"4907","endPage":"4926","numberOfPages":"20","ipdsId":"IP-046344","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473604,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarworks.boisestate.edu/bio_facpubs/375","text":"External Repository"},{"id":276756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":275502,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20382"}],"country":"United States","state":"California","otherGeospatial":"Vandenberg Air Force Base","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.573763,34.702001 ], [ -120.573763,34.783787 ], [ -120.455249,34.783787 ], [ -120.455249,34.702001 ], [ -120.573763,34.702001 ] ] ] } } ] }","volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-07","publicationStatus":"PW","scienceBaseUri":"52136e35e4b0b08f446198f8","contributors":{"authors":[{"text":"Rasa, Ehsan","contributorId":20461,"corporation":false,"usgs":true,"family":"Rasa","given":"Ehsan","email":"","affiliations":[],"preferred":false,"id":479752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":479750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mackay, Douglas M.","contributorId":22081,"corporation":false,"usgs":true,"family":"Mackay","given":"Douglas","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Sieyes, Nicholas R.","contributorId":57358,"corporation":false,"usgs":true,"family":"de Sieyes","given":"Nicholas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, John T.","contributorId":217913,"corporation":false,"usgs":false,"family":"Wilson","given":"John T.","affiliations":[],"preferred":false,"id":767798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feris, Kevin P.","contributorId":51188,"corporation":false,"usgs":true,"family":"Feris","given":"Kevin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Isaac A.","contributorId":62514,"corporation":false,"usgs":true,"family":"Wood","given":"Isaac","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479756,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Scow, Kate M.","contributorId":100519,"corporation":false,"usgs":true,"family":"Scow","given":"Kate","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":479757,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70047474,"text":"sir20135137 - 2013 - Changing patterns in the use, recycling, and material substitution of mercury in the United States","interactions":[],"lastModifiedDate":"2013-08-07T11:05:47","indexId":"sir20135137","displayToPublicDate":"2013-08-07T11:00:00","publicationYear":"2013","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":"2013-5137","title":"Changing patterns in the use, recycling, and material substitution of mercury in the United States","docAbstract":"Environmental concerns have led to numerous regulations that have dramatically decreased the reported production and use of mercury in the United States since the 1980s. Government legislation and subsequent industry actions have led to increased collection of mercury-containing materials and the recovery of mercury through recycling. Mercury emissions have been reduced and effective alternatives to mercury products have been developed for many applications. This study updates and quantifies the changes in demand, supply, use, and material flow for mercury in various sectors in the United States that have taken place since 1996. Nearly all primary mercury produced in the United States is derived as a byproduct of processing of gold and silver ore in Nevada. Since 2001, annual production of mercury from gold and silver mining in Nevada has decreased by 22 percent overall because ore from greater depths containing low grade mercury is recovered, and mercury emissions from this source have decreased by 95 percent as a result of increased regulation and improved collection and suppression technology. The distribution of consumption of mercury in the United States has changed as a result of regulation (elimination of large-scale mercury use in the paint and battery sectors), reduction by consumers (decommissioning of mercury-cell chloralkali manufacturing capacity), and technological advances (improvements in dental, lighting, and wiring sectors). Mercury use in the chloralkali sector, the leading end-use sector in the United States in 1996, has declined by 98 percent from 136 metric tons (t) in 1996 to about 0.3 t in 2010 because of increased processing and recycling efficiencies and plant closures or conversion to other technologies. As plants were closed, mercury recovered from the infrastructure of decommissioned plants has been exported, making the United States a net exporter of mercury, even though no mercury has been produced as the primary product from mines in the United States since 1992. In 1996, the three leading end-use sectors for mercury in the United States were chloralkali manufacturing (accounting for 38 percent of consumption), electrical and electronic instrumentation (13 percent of consumption), and instruments and measuring devices (11 percent of consumption). In 2010, the three leading end-use sectors were dental amalgam (accounting for between 35 and 57 percent of consumption), electrical and electronic instrumentation (29 percent of consumption), and batteries (8 percent of consumption). Mercury use in lighting is increasing because incandescent lights are being phased out in favor of mercury-containing compact fluorescent bulbs, but the demand for mercury per unit produced is small. Dental amalgam constituted the largest amount of mercury in use in the United States. One study reported about 290 t of mercury in dental amalgam was estimated to be contained in human mouths, an estimated 30 t of mercury amalgam was treated as waste, 28.5 t of mercury amalgam was released to the environment, 6 t of amalgam was recycled, and 3.5 t was treated and stored in landfills in 2009. Mercury contained in products recovered by State, municipal, or industry collection activities is recycled, but the estimated overall recycling rate is less than 10 percent. Increasingly, the U.S. mercury recycling industry has been processing a significant amount of mercury-containing material derived from foreign gold mining operations or decommissioned mercury-cell chloralkali plants. Regulation of mercury export and storage is expected to result in surplus mercury inventories in the United States. The Mercury Export Ban Act of 2008 limits elemental mercury exports for unregulated uses such as artisanal gold mining after January 1, 2013, and requires development of adequate long-term storage facilities in the United States for elemental mercury. During the past 4 years, producers and recyclers of elemental mercury have been exporting large quantities of mercury in anticipation of this regulation, but the U.S. inventory of mercury in 2010 was estimated to have exceeded 7,000 t from Government stockpiles and industry stocks. Costs attributed to long-term storage may affect the competitiveness of mercury recycling.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135137","usgsCitation":"Wilburn, D.R., 2013, Changing patterns in the use, recycling, and material substitution of mercury in the United States: U.S. Geological Survey Scientific Investigations Report 2013-5137, vi, 32 p., https://doi.org/10.3133/sir20135137.","productDescription":"vi, 32 p.","numberOfPages":"42","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":276160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135137.gif"},{"id":276158,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5137/"},{"id":276159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5137/pdf/sir2013-5137.pdf"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f60","contributors":{"authors":[{"text":"Wilburn, David R. 0000-0002-5371-7617 wilburn@usgs.gov","orcid":"https://orcid.org/0000-0002-5371-7617","contributorId":1755,"corporation":false,"usgs":true,"family":"Wilburn","given":"David","email":"wilburn@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":482134,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70047472,"text":"70047472 - 2013 - Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2013-08-07T10:38:31","indexId":"70047472","displayToPublicDate":"2013-08-07T10:26:13","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1012,"text":"Biogeosciences Discussions","active":true,"publicationSubtype":{"id":10}},"title":"Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","docAbstract":"Forests play an important role in sequestering carbon and offsetting anthropogenic greenhouse gas emissions, but changing disturbance regimes may compromise the capability of forests to store carbon. In the Southern Rocky Mountains, a recent outbreak of mountain pine beetle (Dendroctonus ponderosae; MPB) has caused levels of tree mortality that are unprecedented in recorded history. To evaluate the long-term impacts of both this insect outbreak and another characteristic disturbance in these forests, high-severity wildfire, we simulated potential changes in species composition and carbon stocks using the Forest Vegetation Simulator (FVS). Simulations were completed for 3 scenarios (no disturbance, actual MPB infestation, and modeled wildfire) using field data collected in 2010 at 97 plots in the lodgepole pine-dominated forests of eastern Grand County, Colorado, which were heavily impacted by MPB after 2002. Results of the simulations showed that (1) lodgepole pine remained dominant over time in all scenarios, with basal area recovering to pre-disturbance levels 70–80 yr after disturbance; (2) wildfire caused a greater magnitude of change than did MPB in both patterns of succession and distribution of carbon among biomass pools; (3) levels of standing-live carbon returned to pre-disturbance conditions after 40 vs. 50 yr following MPB vs. wildfire disturbance, respectively, but took 120 vs. 150 yr to converge with conditions in the undisturbed scenario. Lodgepole pine forests appear to be relatively resilient to both of the disturbances we modeled, although changes in climate, future disturbance regimes, and other factors may significantly affect future rates of regeneration and ecosystem response.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Biogeosciences Discussions","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"European Geosciences Union","doi":"10.5194/bgd-10-12919-2013","usgsCitation":"Caldwell, M.K., Hawbaker, T., Briggs, J.S., Cigan, P., and Stitt, S., 2013, Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains: Biogeosciences Discussions, v. 10, p. 12919-12965, https://doi.org/10.5194/bgd-10-12919-2013.","productDescription":"47 p.","startPage":"12919","endPage":"12965","ipdsId":"IP-049240","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bgd-10-12919-2013","text":"Publisher Index Page"},{"id":276157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276156,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5194/bgd-10-12919-2013"},{"id":276152,"type":{"id":15,"text":"Index Page"},"url":"https://www.biogeosciences-discuss.net/10/12919/2013/bgd-10-12919-2013.html"}],"otherGeospatial":"Rocky Mountains","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.5,29.1 ], [ -127.5,59.6 ], [ -102.4,59.6 ], [ -102.4,29.1 ], [ -127.5,29.1 ] ] ] } } ] }","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f6c","contributors":{"authors":[{"text":"Caldwell, Megan K. mcaldwell@usgs.gov","contributorId":4243,"corporation":false,"usgs":true,"family":"Caldwell","given":"Megan","email":"mcaldwell@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Jenny S. 0000-0001-7454-6928 jsbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-7454-6928","contributorId":3087,"corporation":false,"usgs":true,"family":"Briggs","given":"Jenny","email":"jsbriggs@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":482131,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cigan, P.W.","contributorId":32071,"corporation":false,"usgs":true,"family":"Cigan","given":"P.W.","email":"","affiliations":[],"preferred":false,"id":482133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stitt, Susan susan_stitt@usgs.gov","contributorId":1410,"corporation":false,"usgs":true,"family":"Stitt","given":"Susan","email":"susan_stitt@usgs.gov","affiliations":[],"preferred":true,"id":482130,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047457,"text":"70047457 - 2013 - Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","interactions":[],"lastModifiedDate":"2013-08-07T10:41:18","indexId":"70047457","displayToPublicDate":"2013-08-07T10:05:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":666,"text":"Aeolian Research","active":true,"publicationSubtype":{"id":10}},"title":"Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes","docAbstract":"The Third International Planetary Dunes Workshop took place in Flagstaff, AZ, USA during June 12–15, 2012. This meeting brought together a diverse group of researchers to discuss recent advances in terrestrial and planetary research on aeolian bedforms. The workshop included two and a half days of oral and poster presentations, as well as one formal (and one informal) full-day field trip. Similar to its predecessors, the presented work provided new insight on the morphology, dynamics, composition, and origin of aeolian bedforms on Venus, Earth, Mars, and Titan, with some intriguing speculation about potential aeolian processes on Triton (a satellite of Neptune) and Pluto. Major advancements since the previous International Planetary Dunes Workshop include the introduction of several new data analysis and numerical tools and utilization of low-cost field instruments (most notably the time-lapse camera). Most presentations represented advancement towards research priorities identified in both of the prior two workshops, although some previously recommended research approaches were not discussed. In addition, this workshop provided a forum for participants to discuss the uncertain future of the Planetary Aeolian Laboratory; subsequent actions taken as a result of the decisions made during the workshop may lead to an expansion of funding opportunities to use the facilities, as well as other improvements. The interactions during this workshop contributed to the success of the Third International Planetary Dunes Workshop, further developing our understanding of aeolian processes on the aeolian worlds of the Solar System.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aeolian Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.aeolia.2012.10.006","usgsCitation":"Fenton, L.K., Hayward, R., Horgan, B.H., Rubin, D.M., Titus, T.N., Bishop, M.A., Burr, D.M., Chojnacki, M., Dinwiddie, C., Kerber, L., Gall, A.L., Michaels, T.I., Neakrase, L., Newman, C.E., Tirsch, D., Yizhaq, H., and Zimbelman, J., 2013, Summary of the Third International Planetary Dunes Workshop: remote sensing and image analysis of planetary dunes: Aeolian Research, v. 8, p. 29-38, https://doi.org/10.1016/j.aeolia.2012.10.006.","productDescription":"10 p.","startPage":"29","endPage":"38","ipdsId":"IP-041222","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":473606,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://elib.dlr.de/78994/1/Fenton_JoAeolianResearch2012_Summary_Dunesworkshop2012.pdf","text":"External Repository"},{"id":276154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276153,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.aeolia.2012.10.006"}],"volume":"8","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a340e4b02bdb1bc63f70","contributors":{"authors":[{"text":"Fenton, Lori K.","contributorId":58932,"corporation":false,"usgs":true,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":482085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayward, Rosalyn K.","contributorId":90955,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn K.","affiliations":[],"preferred":false,"id":482088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horgan, Briony H.N.","contributorId":62126,"corporation":false,"usgs":true,"family":"Horgan","given":"Briony","email":"","middleInitial":"H.N.","affiliations":[],"preferred":false,"id":482086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":482074,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":482073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Mark A.","contributorId":36837,"corporation":false,"usgs":true,"family":"Bishop","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482078,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burr, Devon M.","contributorId":21853,"corporation":false,"usgs":true,"family":"Burr","given":"Devon","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":482075,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chojnacki, Matthew","contributorId":96576,"corporation":false,"usgs":true,"family":"Chojnacki","given":"Matthew","affiliations":[],"preferred":false,"id":482089,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dinwiddie, Cynthia L.","contributorId":38880,"corporation":false,"usgs":true,"family":"Dinwiddie","given":"Cynthia L.","affiliations":[],"preferred":false,"id":482079,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kerber, Laura","contributorId":27347,"corporation":false,"usgs":true,"family":"Kerber","given":"Laura","affiliations":[],"preferred":false,"id":482077,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gall, Alice Le","contributorId":25449,"corporation":false,"usgs":true,"family":"Gall","given":"Alice","email":"","middleInitial":"Le","affiliations":[],"preferred":false,"id":482076,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Michaels, Timothy I.","contributorId":38883,"corporation":false,"usgs":true,"family":"Michaels","given":"Timothy","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":482080,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Neakrase, Lynn","contributorId":56362,"corporation":false,"usgs":true,"family":"Neakrase","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":482084,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Newman, Claire E.","contributorId":40506,"corporation":false,"usgs":true,"family":"Newman","given":"Claire","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482081,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tirsch, Daniela","contributorId":55730,"corporation":false,"usgs":true,"family":"Tirsch","given":"Daniela","email":"","affiliations":[],"preferred":false,"id":482083,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Yizhaq, Hezi","contributorId":63709,"corporation":false,"usgs":true,"family":"Yizhaq","given":"Hezi","email":"","affiliations":[],"preferred":false,"id":482087,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Zimbelman, James R.","contributorId":43048,"corporation":false,"usgs":true,"family":"Zimbelman","given":"James R.","affiliations":[],"preferred":false,"id":482082,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70047466,"text":"70047466 - 2013 - Radiocarbon dating late Quaternary loess deposits using small terrestrial gastropod shells","interactions":[],"lastModifiedDate":"2020-12-28T19:59:33.460092","indexId":"70047466","displayToPublicDate":"2013-08-07T09:48:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Radiocarbon dating late Quaternary loess deposits using small terrestrial gastropod shells","docAbstract":"<p><span>Constraining the ages and mass accumulation rates of late Quaternary loess deposits is often difficult because of the paucity of organic material typically available for&nbsp;</span><sup>14</sup><span>C dating and the inherent limitations of luminescence techniques. Radiocarbon dating of small terrestrial gastropod shells may provide an alternative to these methods as fossil shells are common in loess and contain ∼12% carbon by weight. Terrestrial gastropod assemblages in loess have been used extensively to reconstruct past environmental conditions but have been largely ignored for dating purposes. Here, we present the results of a multi-faceted approach to understanding the potential for using small terrestrial gastropod shells to date loess deposits in North America. First, we compare highly resolved&nbsp;</span><sup>14</sup><span>C ages of well-preserved wood and gastropod shells (Succineidae) recovered from a Holocene loess section in Alaska. Radiocarbon ages derived from the shells are nearly identical to wood and plant macrofossil ages throughout the section, which suggests that the shells behaved as closed systems with respect to carbon for at least the last 10&nbsp;ka (thousands of calibrated&nbsp;</span><sup>14</sup><span>C years before present). Second, we apply&nbsp;</span><sup>14</sup><span>C dating of gastropod shells to late Pleistocene loess deposits in the Great Plains using stratigraphy and independent chronologies for comparison. The new shell ages require less interpretation than humic acid radiocarbon ages that are commonly used in loess studies, provide additional stratigraphic coverage to previous dating efforts, and are in correct stratigraphic order more often than their luminescence counterparts. Third, we show that Succineidae shells recovered from historic loess in the Matanuska River Valley, Alaska captured the 20th century&nbsp;</span><sup>14</sup><span>C bomb spike, which suggests that the shells can be used to date late Holocene and historic-aged loess. Finally, results from Nebraska and western Iowa suggest that, similar to other materials, shell ages approaching ∼40&nbsp;ka should be viewed with caution as they may reflect trace amounts of contamination. In sum, our results show that small terrestrial gastropod shells, especially from the Succineidae family, provide reliable ages for late Quaternary loess deposits in North America.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2013.05.013","usgsCitation":"Pigati, J.S., McGeehin, J., Muhs, D.R., and Bettis, E., 2013, Radiocarbon dating late Quaternary loess deposits using small terrestrial gastropod shells: Quaternary Science Reviews, v. 76, p. 114-128, https://doi.org/10.1016/j.quascirev.2013.05.013.","productDescription":"15 p.","startPage":"114","endPage":"128","ipdsId":"IP-037970","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":381656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f68","contributors":{"authors":[{"text":"Pigati, Jeff S.","contributorId":60114,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeff","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":482117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGeehin, John P. 0000-0002-5320-6091 mcgeehin@usgs.gov","orcid":"https://orcid.org/0000-0002-5320-6091","contributorId":3444,"corporation":false,"usgs":true,"family":"McGeehin","given":"John P.","email":"mcgeehin@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":482116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":482115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bettis, E. Arthur III","contributorId":72822,"corporation":false,"usgs":true,"family":"Bettis","given":"E. Arthur","suffix":"III","affiliations":[],"preferred":false,"id":482118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70047465,"text":"70047465 - 2013 - An evaluation of <i>Mesodon</i> and other larger terrestrial gastropod shells for dating late Holocene and historic alluvium in the Midwestern USA","interactions":[],"lastModifiedDate":"2013-08-07T10:19:18","indexId":"70047465","displayToPublicDate":"2013-08-07T09:01:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of <i>Mesodon</i> and other larger terrestrial gastropod shells for dating late Holocene and historic alluvium in the Midwestern USA","docAbstract":"Understanding the history of stream erosion and changes in channel morphology is important for managing and restoring unstable streams. One of the significant challenges in this type of research is establishing accurate dating of late Holocene and historic alluvium. Here we evaluate the potential of using <sup>14</sup>C dating and amino acid racemization (AAR) to date large terrestrial gastropod shells that are often preserved within alluvial sediments. Many terrestrial gastropods incorporate old carbon from limestone or other carbonate rocks into their shells and therefore are unsuitable for radiocarbon dating. Recent studies, however, have shown that some taxa avoid this ‘limestone problem’ and can yield reliable <sup>14</sup>C ages. In this study, we measured the <sup>14</sup>C activity of specimens for the genera Mesodon, Ventridens, and Allogona collected live and from alluvial sequences dated independently by dendrochronology, <sup>14</sup>C dating of wood, and/or <sup>137</sup>Cs analyses. Mesodon zaletus contained old carbon in similar concentrations (up to ~ 30%) found in previous studies of other large taxa and should be avoided for <sup>14</sup>C dating when possible. In contrast, shells of Ventridens ligera and Allogona profunda showed minimal limestone effects and therefore may be suitable for dating late Holocene alluvium. These results highlight the importance of taxonomic identification of gastropod taxa prior to their use for <sup>14</sup>C dating and demonstrate that shell fragments that are not identifiable should be avoided. We also measured d/l ratios (n = 17) of aspartic and glutamic acid from eight different taxa of terrestrial gastropods recovered from four late Holocene and historic stratigraphic sequences. Average d/l ratios of aspartic and glutamic acid from historic sediments < 300 years old are lower in shells from younger stratigraphic units, indicating that AAR can be used to differentiate between multiple historic stratigraphic units.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geomorphology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.03.031","usgsCitation":"Rakovan, M.T., Rech, J.A., Pigati, J.S., Nekola, J.C., and Wiles, G.C., 2013, An evaluation of <i>Mesodon</i> and other larger terrestrial gastropod shells for dating late Holocene and historic alluvium in the Midwestern USA: Geomorphology, v. 193, p. 47-56, https://doi.org/10.1016/j.geomorph.2013.03.031.","productDescription":"10 p.","startPage":"47","endPage":"56","ipdsId":"IP-037269","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":276155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276146,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geomorph.2013.03.031"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","volume":"193","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33ee4b02bdb1bc63f5c","chorus":{"doi":"10.1016/j.geomorph.2013.03.031","url":"http://dx.doi.org/10.1016/j.geomorph.2013.03.031","publisher":"Elsevier BV","authors":"Rakovan Monica T., Rech Jason A., Pigati Jeffrey S., Nekola Jeffrey C., Wiles Gregory C.","journalName":"Geomorphology","publicationDate":"7/2013","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Rakovan, Monica T.","contributorId":65752,"corporation":false,"usgs":true,"family":"Rakovan","given":"Monica","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":482113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rech, Jason A.","contributorId":30730,"corporation":false,"usgs":true,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigati, Jeffery S.","contributorId":73907,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":482114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":482110,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wiles, Gregory C.","contributorId":39278,"corporation":false,"usgs":true,"family":"Wiles","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":482112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70047470,"text":"sir20125097 - 2013 - Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","interactions":[],"lastModifiedDate":"2013-08-07T08:06:30","indexId":"sir20125097","displayToPublicDate":"2013-08-07T07:58:00","publicationYear":"2013","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":"2012-5097","title":"Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado","docAbstract":"The U.S. Department of Agriculture Forest Service has identified hazard concerns for areas downstream from five Colorado dams on Forest Service land. In 2009, the U.S. Geological Survey, in cooperation with the Forest Service, initiated a flood hydrology analysis to estimate the areal extent of potential downstream flood inundation and hazard to downstream life, property, and infrastructure if dam breach occurs. Readily available information was used for dam-breach assessments of five small Colorado reservoirs (Balman Reservoir, Crystal Lake, Manitou Park Lake, McGinnis Lake, and Million Reservoir) that are impounded by an earthen dam, and no new data were collected for hydraulic modeling. For each reservoir, two dam-breach scenarios were modeled: (1) the dam is overtopped but does not fail (break), and (2) the dam is overtopped and dam-break occurs. The dam-breach scenarios were modeled in response to the 100-year recurrence, 500-year recurrence, and the probable maximum precipitation, 24-hour duration rainstorms to predict downstream flooding. For each dam-breach and storm scenario, a flood inundation map was constructed to estimate the extent of flooding in areas of concern downstream from each dam. Simulation results of the dam-break scenarios were used to determine the hazard classification of the dam structure (high, significant, or low), which is primarily based on the potential for loss of life and property damage resulting from the predicted downstream flooding.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125097","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service","usgsCitation":"Stevens, M.R., and Hoogestraat, G., 2013, Flood hydrology and dam-breach hydraulic analyses of five reservoirs in Colorado: U.S. Geological Survey Scientific Investigations Report 2012-5097, vi, 24 p.; Downloads Directory, https://doi.org/10.3133/sir20125097.","productDescription":"vi, 24 p.; Downloads Directory","numberOfPages":"33","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":276142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125097.gif"},{"id":276143,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5097/"},{"id":276144,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5097/pdf/sir2012-5097.pdf"},{"id":276145,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2012/5097/downloads/"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.0,36.0 ], [ -111.0,42.0 ], [ -99,0,42.0 ], [ -99,0,36.0 ], [ -111.0,36.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5203a33fe4b02bdb1bc63f64","contributors":{"authors":[{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogestraat, Galen K.","contributorId":22442,"corporation":false,"usgs":true,"family":"Hoogestraat","given":"Galen K.","affiliations":[],"preferred":false,"id":482128,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171453,"text":"70171453 - 2013 - Terrestrial salamander abundance on reclaimed mountaintop removal mines","interactions":[],"lastModifiedDate":"2016-06-01T15:20:34","indexId":"70171453","displayToPublicDate":"2013-08-07T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Terrestrial salamander abundance on reclaimed mountaintop removal mines","docAbstract":"<p><span>Mountaintop removal mining, a large-scale disturbance affecting vegetation, soil structure, and topography, converts landscapes from mature forests to extensive grassland and shrubland habitats. We sampled salamanders using drift-fence arrays and coverboard transects on and near mountaintop removal mines in southern West Virginia, USA, during 2000&ndash;2002. We compared terrestrial salamander relative abundance and species richness of un-mined, intact forest with habitats on reclaimed mountaintop removal mines (reclaimed grassland, reclaimed shrubland, and fragmented forest). Salamanders within forests increased in relative abundance with increasing distance from reclaimed mine edge. Reclaimed grassland and shrubland habitats had lower relative abundance and species richness than forests. Characteristics of reclaimed habitats that likely contributed to lower salamander abundance included poor soils (dry, compacted, little organic matter, high rock content), reduced vertical structure of vegetation and little tree cover, and low litter and woody debris cover. Past research has shown that salamander populations reduced by clearcutting may rebound in 15&ndash;24 years. Time since disturbance was 7&ndash;28 years in reclaimed habitats on our study areas and salamander populations had not reached levels found in adjacent mature forests.</span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/wsb.319","usgsCitation":"Wood, P.B., and Williams, J.M., 2013, Terrestrial salamander abundance on reclaimed mountaintop removal mines: Wildlife Society Bulletin, v. 37, no. 4, p. 815-823, https://doi.org/10.1002/wsb.319.","productDescription":"9 p.","startPage":"815","endPage":"823","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041982","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473607,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/08a6b17b1fdc4f19a72076e27db74c5f","text":"Publisher Index Page"},{"id":322038,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70046882,"text":"70046882 - 2013 - Using heat as a tracer to estimate spatially distributed mean residence times in the hyporheic zone of a riffle-pool sequence","interactions":[],"lastModifiedDate":"2013-10-30T14:35:08","indexId":"70046882","displayToPublicDate":"2013-08-06T13:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Using heat as a tracer to estimate spatially distributed mean residence times in the hyporheic zone of a riffle-pool sequence","docAbstract":"Biochemical reactions that occur in the hyporheic zone are highly dependent on the time solutes that are in contact with sediments of the riverbed. In this investigation, we developed a 2-D longitudinal flow and solute-transport model to estimate the spatial distribution of mean residence time in the hyporheic zone. The flow model was calibrated using observations of temperature and pressure, and the mean residence times were simulated using the age-mass approach for steady-state flow conditions. The approach used in this investigation includes the mixing of different ages and flow paths of water through advection and dispersion. Uncertainty of flow and transport parameters was evaluated using standard Monte Carlo and the generalized likelihood uncertainty estimation method. Results of parameter estimation support the presence of a low-permeable zone in the riffle area that induced horizontal flow at a shallow depth within the riffle area. This establishes shallow and localized flow paths and limits deep vertical exchange. For the optimal model, mean residence times were found to be relatively long (9–40.0 days). The uncertainty of hydraulic conductivity resulted in a mean interquartile range (IQR) of 13 days across all piezometers and was reduced by 24% with the inclusion of temperature and pressure observations. To a lesser extent, uncertainty in streambed porosity and dispersivity resulted in a mean IQR of 2.2 and 4.7 days, respectively. Alternative conceptual models demonstrate the importance of accounting for the spatial distribution of hydraulic conductivity in simulating mean residence times in a riffle-pool sequence.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/wrcr.20306","usgsCitation":"Naranjo, R.C., 2013, Using heat as a tracer to estimate spatially distributed mean residence times in the hyporheic zone of a riffle-pool sequence: Water Resources Research, v. 49, no. 6, p. 3697-3711, https://doi.org/10.1002/wrcr.20306.","productDescription":"15 p.","startPage":"3697","endPage":"3711","ipdsId":"IP-039195","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":473608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20306","text":"Publisher Index Page"},{"id":276128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276127,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20306"}],"volume":"49","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-06-21","publicationStatus":"PW","scienceBaseUri":"52020cdae4b0e21cafa49c0b","contributors":{"authors":[{"text":"Naranjo, Ramon C. 0000-0003-4469-6831 rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480560,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70147909,"text":"70147909 - 2013 - Mortality of Palmetto bass following catch-and-release angling","interactions":[],"lastModifiedDate":"2015-05-11T11:55:40","indexId":"70147909","displayToPublicDate":"2013-08-06T13:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Mortality of Palmetto bass following catch-and-release angling","docAbstract":"<p>Palmetto bass (Striped Bass <i>Morone saxatilis</i> x White Bass <i>M. chrysops</i>) have been stocked into reservoirs in the southeastern USA since the late 1960s and have gained widespread acceptance as a sport fish. These fisheries are growing in popularity and catch-and-release (CR) fishing is commonplace; however, there is a dearth of information on CR mortality of palmetto bass. We experimentally angled palmetto bass (<i>n</i> = 56; &gt;373-mm TL) in a Tennessee reservoir using traditional angling gear in water temperatures ranging from 13 &deg;C to 32 &deg;C. Ultrasonic transmitters equipped with floats were externally attached to fish, which were released immediately and tracked multiple times within 10 d of release. Mortality was negligible (3.6%) in fall and spring at cool water temperatures but was high (39.3%) in summer when water temperatures exceeded 26 &deg;C. The best logistic regression model based on Akaike's information criterion for small sample sizes scores relied on water temperature alone to predict CR mortality of palmetto bass; there was little support for other models that included all possible combinations of the six other predictor variables we tested. Palmetto bass in our study experienced lower CR mortality than Striped Bass in other systems, but CR mortality rates for palmetto bass that approach or exceed 40% during summer are still problematic if the goal is to maintain fishing quality.</p>","language":"English","publisher":"American Fisheries Society","publisherLocation":"Lawrence, KS","doi":"10.1080/02755947.2013.812584","usgsCitation":"Petersen, M., and Bettoli, P.W., 2013, Mortality of Palmetto bass following catch-and-release angling: North American Journal of Fisheries Management, v. 33, no. 4, p. 806-810, https://doi.org/10.1080/02755947.2013.812584.","productDescription":"5 p.","startPage":"806","endPage":"810","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043760","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2013-08-06","publicationStatus":"PW","scienceBaseUri":"5551d2b6e4b0a92fa7e93bf5","contributors":{"authors":[{"text":"Petersen, M.J.","contributorId":18181,"corporation":false,"usgs":true,"family":"Petersen","given":"M.J.","email":"","affiliations":[],"preferred":false,"id":546685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bettoli, Phillip William pbettoli@usgs.gov","contributorId":1919,"corporation":false,"usgs":true,"family":"Bettoli","given":"Phillip","email":"pbettoli@usgs.gov","middleInitial":"William","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":546365,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044813,"text":"70044813 - 2013 - The Nation's top 25 construction aggregates producers","interactions":[],"lastModifiedDate":"2013-08-06T10:16:07","indexId":"70044813","displayToPublicDate":"2013-08-06T10:06:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":674,"text":"Aggregates Manager","active":true,"publicationSubtype":{"id":10}},"title":"The Nation's top 25 construction aggregates producers","docAbstract":"U.S. production of construction aggregates in 2011 was 2.17 billion short tons, valued at $17.2 billion, free on board (f.o.b.) at plant. Construction aggregates production decreased by 37 percent, and the associated value decreased by 25 percent, compared with the record highs reported in 2006. In 2011, construction aggregates production increased for the first time since 2006, owing to a very slight increase in the production of both construction sand and gravel and crushed stone. The average unit value, which is the f.o.b. at plant price of a ton of material, increased slightly, but is still less than the average unit value of two years prior.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Aggregates Manager","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Randall Reilly Publishing","usgsCitation":"Willett, J., 2013, The Nation's top 25 construction aggregates producers: Aggregates Manager, v. 18, no. 4, p. 24-27.","productDescription":"4 p.","startPage":"24","endPage":"27","ipdsId":"IP-019209","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":276098,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276097,"type":{"id":11,"text":"Document"},"url":"https://read.dmtmag.com/i/120734"}],"volume":"18","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52020cd9e4b0e21cafa49c07","contributors":{"authors":[{"text":"Willett, Jason Christopher","contributorId":85480,"corporation":false,"usgs":true,"family":"Willett","given":"Jason Christopher","affiliations":[],"preferred":false,"id":476355,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70039838,"text":"70039838 - 2013 - Prevalence of neutralizing antibodies to rabies virus in serum of seven species of insectivorous bats from Colorado and New Mexico, United States","interactions":[],"lastModifiedDate":"2013-08-06T09:07:14","indexId":"70039838","displayToPublicDate":"2013-08-06T08:56:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of neutralizing antibodies to rabies virus in serum of seven species of insectivorous bats from Colorado and New Mexico, United States","docAbstract":"We determined the presence of rabies-virus-neutralizing antibodies (RVNA) in serum of 721 insectivorous bats of seven species captured, sampled, and released in Colorado and New Mexico, United States in 2003-2005. A subsample of 160 bats was tested for rabies-virus RNA in saliva. We sampled little brown bats (Myotis lucifugus) at two maternity roosts in Larimer County, Colorado; big brown bats (Eptesicus fuscus) at three maternity roosts in Morgan County, Colorado; and big brown bats at five maternity roosts in Larimer County. We also sampled hoary bats (Lasiurus cinereus) and silver-haired bats (Lasionycteris noctivagans) captured while drinking or foraging over water in Bernalillo County, New Mexico and at various locations in Larimer County. Big brown bats, little brown bats, long-legged myotis (Myotis volans), long-eared myotis (Myotis evotis), and fringed myotis (Myotis thysanodes) were also sampled over water in Larimer County. All species except long-eared myotis included individuals with RVNA, with prevalences ranging from 7% in adult female silver-haired bats to 32% in adult female hoary bats. None of the bats had detectable rabies-virus RNA in oropharyngeal swabs, including 51 bats of 5 species that had RVNA in serum. Antibody-positive bats were present in nine of the 10 maternity colonies sampled. These data suggest that wild bats are commonly exposed to rabies virus and develop a humoral immune response suggesting some degree of viral replication, but many infections fail to progress to clinical disease.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Diseases","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2012-05-124","usgsCitation":"Bowen, R.A., O'Shea, T., Shankar, V., Neubaum, M.A., Neubaum, D.J., and Rupprecht, C.E., 2013, Prevalence of neutralizing antibodies to rabies virus in serum of seven species of insectivorous bats from Colorado and New Mexico, United States: Journal of Wildlife Diseases, v. 49, no. 2, p. 367-374, https://doi.org/10.7589/2012-05-124.","productDescription":"8 p.","startPage":"367","endPage":"374","numberOfPages":"8","ipdsId":"IP-040618","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":276092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276091,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.7589/2012-05-124"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -108.98,31.41 ], [ -108.98,40.95 ], [ -101.98,40.95 ], [ -101.98,31.41 ], [ -108.98,31.41 ] ] ] } } ] }","volume":"49","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52020cd9e4b0e21cafa49c03","contributors":{"authors":[{"text":"Bowen, Richard A.","contributorId":64145,"corporation":false,"usgs":true,"family":"Bowen","given":"Richard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O'Shea, Thomas J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":78071,"corporation":false,"usgs":true,"family":"O'Shea","given":"Thomas J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":467023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shankar, Vidya","contributorId":8754,"corporation":false,"usgs":true,"family":"Shankar","given":"Vidya","email":"","affiliations":[],"preferred":false,"id":467020,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neubaum, Melissa A.","contributorId":78637,"corporation":false,"usgs":true,"family":"Neubaum","given":"Melissa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":467024,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neubaum, Daniel J.","contributorId":12734,"corporation":false,"usgs":true,"family":"Neubaum","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":467021,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rupprecht, Charles E.","contributorId":95774,"corporation":false,"usgs":true,"family":"Rupprecht","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":467025,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70047433,"text":"70047433 - 2013 - Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","interactions":[],"lastModifiedDate":"2013-08-06T08:27:21","indexId":"70047433","displayToPublicDate":"2013-08-06T08:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2764,"text":"Mitigation and Adaptation Strategies for Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation to climate change: changes in farmland use and stocking rate in the U.S.","docAbstract":"This paper examines possible adaptations to climate change in terms of pasture and crop land use and stocking rate in the United States (U.S.). Using Agricultural Census and climate data in a statistical model, we find that as temperature and precipitation increases agricultural commodity producers respond by reducing crop land and increasing pasture land. In addition, cattle stocking rate decreases as the summer Temperature-humidity Index (THI) increases and summer precipitation decreases. Using the statistical model with climate data from four General Circulation Models (GCMs), we project that land use shifts from cropping to grazing and the stocking rate declines, and these adaptations are more pronounced in the central and the southeast regions of the U.S. Controlling for other farm production variables, crop land decreases by 6 % and pasture land increases by 33 % from the baseline. Correspondingly, the associated economic impact due to adaptation is around -14 and 29 million dollars to crop producers and pasture producers by the end of this century, respectively. The national and regional results have implications for farm programs and subsidy policies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Mitigation and Adaptation Strategies for Global Change","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11027-012-9384-4","usgsCitation":"Mu, J.E., McCarl, B.A., and Wein, A., 2013, Adaptation to climate change: changes in farmland use and stocking rate in the U.S.: Mitigation and Adaptation Strategies for Global Change, v. 18, no. 6, p. 713-730, https://doi.org/10.1007/s11027-012-9384-4.","productDescription":"18 p.","startPage":"713","endPage":"730","numberOfPages":"18","ipdsId":"IP-037256","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":276090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276089,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11027-012-9384-4"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.53,25.06 ], [ -124.53,49.08 ], [ -66.95,49.08 ], [ -66.95,25.06 ], [ -124.53,25.06 ] ] ] } } ] }","volume":"18","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-05-24","publicationStatus":"PW","scienceBaseUri":"52020cd2e4b0e21cafa49bfb","contributors":{"authors":[{"text":"Mu, Jianhong E.","contributorId":75840,"corporation":false,"usgs":true,"family":"Mu","given":"Jianhong","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":482031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarl, Bruce A.","contributorId":58173,"corporation":false,"usgs":true,"family":"McCarl","given":"Bruce","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":482030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wein, Anne M.","contributorId":12007,"corporation":false,"usgs":true,"family":"Wein","given":"Anne M.","affiliations":[],"preferred":false,"id":482029,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70047435,"text":"70047435 - 2013 - Identification of largemouth bass virus in the introduced Northern snakehead inhabiting the Cheasapeake Bay watershed","interactions":[],"lastModifiedDate":"2021-07-06T23:01:31.547834","indexId":"70047435","displayToPublicDate":"2013-08-06T08:09:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"title":"Identification of largemouth bass virus in the introduced Northern snakehead inhabiting the Cheasapeake Bay watershed","docAbstract":"The Northern Snakehead <i>Channa argus</i> is an introduced species that now inhabits the Chesapeake Bay. During a preliminary survey for introduced pathogens possibly harbored by these fish in Virginia waters, a filterable agent was isolated from five specimens that produced cytopathic effects in BF-2 cells. Based on PCR amplification and partial sequencing of the major capsid protein (MCP), DNA polymerase (DNApol), and DNA methyltransferase (Mtase) genes, the isolates were identified as Largemouth Bass virus (LMBV). Nucleotide sequences of the MCP (492 bp) and DNApol (419 pb) genes were 100% identical to those of LMBV. The nucleotide sequence of the Mtase (206 bp) gene was 99.5% identical to that of LMBV, and the single nucleotide substitution did not lead to a predicted amino acid coding change. This is the first report of LMBV from the Northern Snakehead, and provides evidence that noncentrarchid fishes may be susceptible to this virus.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08997659.2013.799614","usgsCitation":"Iwanowicz, L., Densmore, C.L., Hahn, C.M., McAllister, P., and Odenkirk, J., 2013, Identification of largemouth bass virus in the introduced Northern snakehead inhabiting the Cheasapeake Bay watershed: Journal of Aquatic Animal Health, v. 25, no. 3, p. 191-196, https://doi.org/10.1080/08997659.2013.799614.","productDescription":"6 p.","startPage":"191","endPage":"196","numberOfPages":"6","ipdsId":"IP-050166","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":276088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":482035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hahn, Cassidy M. cmhahn@usgs.gov","contributorId":5321,"corporation":false,"usgs":true,"family":"Hahn","given":"Cassidy","email":"cmhahn@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":482036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAllister, Phillip","contributorId":102775,"corporation":false,"usgs":true,"family":"McAllister","given":"Phillip","email":"","affiliations":[],"preferred":false,"id":482038,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Odenkirk, John","contributorId":64983,"corporation":false,"usgs":true,"family":"Odenkirk","given":"John","affiliations":[],"preferred":false,"id":482037,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174266,"text":"70174266 - 2013 - Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","interactions":[],"lastModifiedDate":"2016-07-06T17:02:25","indexId":"70174266","displayToPublicDate":"2013-08-06T01:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3568,"text":"The Leading Edge","active":true,"publicationSubtype":{"id":10}},"title":"Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\">\n<p id=\"p-1\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n</div>\n<p id=\"p-2\">Advancements in aeromagnetic acquisition technology over the past few decades have led to greater resolution of shallow geologic sources with low magnetization, such as intrasedimentary faults and paleochannels. Detection and mapping of intrasedimentary faults in particular can be important for understanding the overall structural setting of an area, even if exploration targets are much deeper. Aeromagnetic methods are especially useful for mapping structures in mountain-piedmont areas at the margins of structural basins, where mineral exploration and seismic-hazard studies may be focused, and where logistical or data-quality issues encumber seismic methods. Understanding if the sources of aeromagnetic anomalies in this context originate from sedimentary units or bedrock is important for evaluating basin structure and/or depth to shallow exploration targets.</p>\n<p id=\"p-3\">Although explorationists have surmised that subtle, narrow, linear aeromagnetic anomalies or gradients are caused by intrasedimentary faults, the nature of the magnetic sources has been debated. A common and intuitive explanation for the linear anomalies considers that the magnetic properties of the fault zone have been altered by secondary chemical processes, either through the growth or destruction of magnetic minerals. However, comprehensive, multidisciplinary studies of partially exposed intrasedimentary faults in basins within the central Rio Grande Rift, New Mexico, have shown that the anomalies can be completely explained by the tectonic juxtaposition of strata of differing magnetic properties at the fault (summarized in <a id=\"xref-ref-7-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson, 2007</a>, <a id=\"xref-ref-8-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>). Whereas a reduction in magnetic susceptibility was detected at some fault zones in the laboratory, the slight reduction and small volume of material affected were insufficient to produce aeromagnetic anomalies (<a id=\"xref-ref-12-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-12\">Hudson et al., 2008</a>).</p>\n<p id=\"p-4\">A key finding of the studies summarized by <a id=\"xref-ref-7-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-7\">Grauch and Hudson (2007</a>, <a id=\"xref-ref-8-2\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-8\">2011</a>) is that multiple magnetic contrasts (sources) can be vertically stacked at one fault. This situation requires rethinking of common assumptions when modeling faults as simple steps or when interpreting depth-estimation results. The multiple contrasts in these case studies arise from the tectonic juxtaposition of stratified sediments with differing magnetic properties. Multiple, vertically stacked magnetic sources also can occur where volcanic layers are interbedded with the sedimentary section or where faults offset both shallow bedrock and its overlying sedimentary cover. The latter situation is common at basin margins.</p>\n<p id=\"p-5\">Herein, we summarize and expand on an investigation of the sources of aeromagnetic anomalies related to faults along the eastern margin of the San Luis Basin, northern Rio Grande Rift, Colorado (<a id=\"xref-ref-6-1\" class=\"xref-bibr\" href=\"http://tle.geoscienceworld.org/content/32/8/882#ref-6\">Grauch et al., 2010</a>). Similar to the faults examined in the central Rio Grande Rift, magnetic sources can be completely explained by tectonic juxtaposition and produce multiple, vertically stacked magnetic contrasts at individual faults. However, the geologic sources are different. They arise from both the sedimentary cover and the underlying bedrock rather than from stratified sediments. In addition, geologic evidence for secondary growth or destruction of magnetic minerals at the fault zone is lacking.</p>","language":"English","publisher":"Society of Exploration Geophysicists","doi":"10.1190/tle32080882.1","usgsCitation":"Grauch, V.J., Bedrosian, P.A., and Drenth, B.J., 2013, Advancements in understanding the aeromagnetic expressions of basin-margin faults—An example from San Luis Basin, Colorado: The Leading Edge, v. 32, no. 8, p. 882-891, https://doi.org/10.1190/tle32080882.1.","productDescription":"10 p.","startPage":"882","endPage":"891","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044990","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":324783,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Luis Basin","geographicExtents":"{\n  \"type\": 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The U.S. Geological Survey (USGS), as part of its mission, collected extensive information during and in the aftermath of the 2011 floods to support scientific analysis of the origins and consequences of extreme floods. The information collected for the 2011 floods, combined with decades of past data, enables scientists and engineers from the USGS to provide syntheses and scientific analyses to inform emergency managers, planners, and policy makers about life-safety, economic, and environmental-health issues surrounding flood hazards for the 2011 floods and future floods like it. 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