{"pageNumber":"650","pageRowStart":"16225","pageSize":"25","recordCount":46883,"records":[{"id":70046057,"text":"70046057 - 2012 - Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite","interactions":[],"lastModifiedDate":"2013-06-17T14:43:46","indexId":"70046057","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite","docAbstract":"There are multiple ways to characterize uncertainty in the assessment of coal resources, but not all of them are equally satisfactory. Increasingly, the tendency is toward borrowing from the statistical tools developed in the last 50 years for the quantitative assessment of other mineral commodities. Here, we briefly review the most recent of such methods and formulate a procedure for the systematic assessment of multi-seam coal deposits taking into account several geological factors, such as fluctuations in thickness, erosion, oxidation, and bed boundaries. A lignite deposit explored in three stages is used for validating models based on comparing a first set of drill holes against data from infill and development drilling. Results were fully consistent with reality, providing a variety of maps, histograms, and scatterplots characterizing the deposit and associated uncertainty in the assessments. The geostatistical approach was particularly informative in providing a probability distribution modeling deposit wide uncertainty about total resources and a cumulative distribution of coal tonnage as a function of local uncertainty.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Natural Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11053-012-9185-1","usgsCitation":"Olea, R., and Luppens, J.A., 2012, Sequential simulation approach to modeling of multi-seam coal deposits with an application to the assessment of a Louisiana lignite: Natural Resources Research, v. 21, no. 4, p. 443-459, https://doi.org/10.1007/s11053-012-9185-1.","productDescription":"17 p.","startPage":"443","endPage":"459","ipdsId":"IP-038710","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":273847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273846,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11053-012-9185-1"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.04,28.92 ], [ -94.04,33.01 ], [ -88.81,33.01 ], [ -88.81,28.92 ], [ -94.04,28.92 ] ] ] } } ] }","volume":"21","issue":"4","noUsgsAuthors":false,"publicationDate":"2012-08-23","publicationStatus":"PW","scienceBaseUri":"51c02ff5e4b0ee1529ed3d51","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luppens, James A. 0000-0001-7607-8750 jluppens@usgs.gov","orcid":"https://orcid.org/0000-0001-7607-8750","contributorId":550,"corporation":false,"usgs":true,"family":"Luppens","given":"James","email":"jluppens@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":478782,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044174,"text":"70044174 - 2012 - Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas","interactions":[],"lastModifiedDate":"2013-04-22T10:44:52","indexId":"70044174","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas","docAbstract":"Here we establish a magnetostratigraphy susceptibility zonation for the three Middle Permian Global boundary Stratotype Sections and Points (GSSPs) that have recently been defined, located in Guadalupe Mountains National Park, West Texas, USA. These GSSPs, all within the Middle Permian Guadalupian Series, define (1) the base of the Roadian Stage (base of the Guadalupian Series), (2) the base of the Wordian Stage and (3) the base of the Capitanian Stage. Data from two additional stratigraphic successions in the region, equivalent in age to the Kungurian–Roadian and Wordian–Capitanian boundary intervals, are also reported. Based on low-field, mass specific magnetic susceptibility (χ) measurements of 706 closely spaced samples from these stratigraphic sections and time-series analysis of one of these sections, we (1) define the magnetostratigraphy susceptibility zonation for the three Guadalupian Series Global boundary Stratotype Sections and Points; (2) demonstrate that χ datasets provide a proxy for climate cyclicity; (3) give quantitative estimates of the time it took for some of these sediments to accumulate; (4) give the rates at which sediments were accumulated; (5) allow more precise correlation to equivalent sections in the region; (6) identify anomalous stratigraphic horizons; and (7) give estimates for timing and duration of geological events within sections.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geological Society, London, Special Publications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Geological Society","publisherLocation":"London, UK","doi":"10.1144/SP373.1","usgsCitation":"Wardlaw, B.R., Ellwood, B.B., Lambert, L.L., Tomkin, J.H., Bell, G.L., and Nestell, G.P., 2012, Magnetostratigraphy susceptibility for the Guadalupian Series GSSPs (Middle Permian) in Guadalupe Mountains National Park and adjacent areas in West Texas: Geological Society, London, Special Publications, v. 373, p. 21-21, https://doi.org/10.1144/SP373.1.","startPage":"21","endPage":"21","numberOfPages":"1","additionalOnlineFiles":"N","ipdsId":"IP-034315","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":271339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271338,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1144/SP373.1"}],"country":"United States","state":"Texas","volume":"373","noUsgsAuthors":false,"publicationDate":"2012-08-14","publicationStatus":"PW","scienceBaseUri":"51765beae4b0f989f99e00fb","contributors":{"authors":[{"text":"Wardlaw, Bruce R. bwardlaw@usgs.gov","contributorId":266,"corporation":false,"usgs":true,"family":"Wardlaw","given":"Bruce","email":"bwardlaw@usgs.gov","middleInitial":"R.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellwood, Brooks B.","contributorId":44814,"corporation":false,"usgs":false,"family":"Ellwood","given":"Brooks","email":"","middleInitial":"B.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":474988,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lambert, Lance L.","contributorId":9550,"corporation":false,"usgs":true,"family":"Lambert","given":"Lance","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tomkin, Jonathan H.","contributorId":85860,"corporation":false,"usgs":true,"family":"Tomkin","given":"Jonathan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":474990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bell, Gordon L.","contributorId":69639,"corporation":false,"usgs":true,"family":"Bell","given":"Gordon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":474989,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nestell, Galina P.","contributorId":22651,"corporation":false,"usgs":false,"family":"Nestell","given":"Galina","email":"","middleInitial":"P.","affiliations":[{"id":12734,"text":"University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":474987,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046279,"text":"70046279 - 2012 - Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-04T15:35:24","indexId":"70046279","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-7 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046279","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for June 24, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046279.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273273,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_06242006_p44r31_l7_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c74e4b08a3322c2c3a8","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479366,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046280,"text":"70046280 - 2012 - Upper Klamath Basin Landsat Image for June 26, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-04T15:45:06","indexId":"70046280","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for June 26, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046280","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for June 26, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046280.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273275,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_06262004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c74e4b08a3322c2c3ac","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479367,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043333,"text":"70043333 - 2012 - Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4","interactions":[],"lastModifiedDate":"2018-03-21T15:43:23","indexId":"70043333","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4","docAbstract":"<p>Apparent groundwater ages along two flow paths in the upper Patapsco aquifer of the Maryland Atlantic Coastal Plain, USA, were estimated using <sup>14</sup>C, <sup>36</sup>Cl and <sup>4</sup>He data. Most of the ages range from modern to about 500&nbsp;ka, with one sample at 117&nbsp;km downgradient from the recharge area dated by radiogenic <sup>4</sup>He accumulation at more than one Ma. Last glacial maximum (LGM) water was located about 20&nbsp;km downgradient on the northern flow path, where the radiocarbon age was 21.5&nbsp;ka, paleorecharge temperatures were 0.5–1.5  °C (a maximum cooling of about 12 °C relative to the modern mean annual temperature of 13 °C), and Cl<sup>–</sup>, Cl/Br, and stable isotopes of water were minimum. Low recharge temperatures (typically 5–7 °C) indicate that recharge occurred predominantly during glacial periods when coastal heads were lowest due to low sea-level stand. Flow velocities averaged about 1.0 m a<sup>–1</sup> in upgradient parts of the upper Patapsco aquifer and decreased from 0.13 to 0.04 m a<sup>–1</sup> at 40 and 80&nbsp;km further downgradient, respectively. This study demonstrates that most water in the upper Patapsco aquifer is non-renewable on human timescales under natural gradients, thus highlighting the importance of effective water-supply management to prolong the resource.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-012-0871-1","usgsCitation":"Plummer, N., Eggleston, J.R., Raffensperger, J.P., Hunt, A.G., Casile, G.C., and Andreasen, D.C., 2012, Old groundwater in parts of the upper Patapsco aquifer, Atlantic Coastal Plain, Maryland, USA: Evidence from radiocarbon, chlorine-36 and helium-4: Hydrogeology Journal, v. 20, no. 7, p. 1269-1294, https://doi.org/10.1007/s10040-012-0871-1.","productDescription":"26 p.","startPage":"1269","endPage":"1294","additionalOnlineFiles":"N","ipdsId":"IP-036422","costCenters":[{"id":146,"text":"Branch of Regional Research-Eastern Region","active":false,"usgs":true}],"links":[{"id":270121,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Anne Arundel","city":"Baltimore","volume":"20","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-06-07","publicationStatus":"PW","scienceBaseUri":"5152c3a0e4b01197b08e9cdc","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleston, John R. 0000-0001-6633-3041 jegglest@usgs.gov","orcid":"https://orcid.org/0000-0001-6633-3041","contributorId":3068,"corporation":false,"usgs":true,"family":"Eggleston","given":"John","email":"jegglest@usgs.gov","middleInitial":"R.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raffensperger, Jeff P. 0000-0001-9275-6646 jpraffen@usgs.gov","orcid":"https://orcid.org/0000-0001-9275-6646","contributorId":199119,"corporation":false,"usgs":true,"family":"Raffensperger","given":"Jeff","email":"jpraffen@usgs.gov","middleInitial":"P.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":473405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":473402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casile, Gerolamo C. jcasile@usgs.gov","contributorId":4007,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","email":"jcasile@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":473404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andreasen, D. C.","contributorId":32565,"corporation":false,"usgs":true,"family":"Andreasen","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":473406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70046282,"text":"70046282 - 2012 - Upper Klamath Basin Landsat Image for July 2, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-04T15:53:36","indexId":"70046282","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 2, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046282","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 2, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046282.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273278,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07022006_p44r31_l5_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c74e4b08a3322c2c398","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479370,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046283,"text":"70046283 - 2012 - Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-07-08T14:01:10","indexId":"70046283","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31","docAbstract":"This subset of a Landsat-7 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046283","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 10, 2006: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046283.","productDescription":"Dataset","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273282,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273280,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07102006_p44r31_l7_usgs_1_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c73e4b08a3322c2c390","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479371,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044135,"text":"70044135 - 2012 - Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank","interactions":[],"lastModifiedDate":"2020-09-11T18:45:13.277105","indexId":"70044135","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"title":"Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank","docAbstract":"<p><span>The carbonate strata of the great American carbonate bank (GACB) have been subdivided and correlated with ever-increasing precision and accuracy during the past half century through use of the dominant organisms that evolved on the Laurentian platform through the Cambrian and the Ordovician. Trilobites and conodonts remain the primary groups used for this purpose, although brachiopods, both calcareous and phosphatic, and graptolites are very important in certain facies and intervals. A series of charts show the chronostratigraphic units (series and stages) currently in use for deposits of the GACB and the biostratigraphic units (zones, subzones, and biomeres) whose boundaries delineate them. Older and, in some cases obsolete, stages and faunal units are included in the figures to allow users to relate information from previous publications and/or industry databases to modern units. This chapter also provides a brief discussion on the use of biostratigraphy in the recognition and interregional correlation of supersequence boundaries within the Sauk and Tippecanoe megasequences, and the varied perspectives on the nature of biostratigraphic units and their defining taxa during the past half century. Also included are a concise update on the biomere concept, and an explanation of the biostratigraphic consequences of a profound change in the dynamics of extinction and replacement that occurred on the GACB in the Early Ordovician when the factors responsible for platformwide biomere-type extinctions faded and ultimately disappeared. A final section addresses recent and pending refinements in the genus and species taxonomy of biostratigraphically significant fossil groups, the potential they hold for greatly improved correlation, and the obstacles to be overcome for that potential to be realized.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331488M983497","usgsCitation":"Taylor, J.F., Repetski, J.E., Loch, J.D., and Leslie, S.A., 2012, Biostratigraphy and chronostratigraphy of the Cambrian-Ordovician great American carbonate bank, chap. <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 15-35, https://doi.org/10.1306/13331488M983497.","productDescription":"21 p.","startPage":"15","endPage":"35","numberOfPages":"21","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018460","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":297965,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297966,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER03/CHAPTER03.HTM"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64cee4b00154e4368b53","contributors":{"authors":[{"text":"Taylor, John F.","contributorId":80890,"corporation":false,"usgs":false,"family":"Taylor","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":474862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":474861,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loch, James D.","contributorId":20139,"corporation":false,"usgs":false,"family":"Loch","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":474859,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leslie, Stephen A.","contributorId":25750,"corporation":false,"usgs":false,"family":"Leslie","given":"Stephen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":474860,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046285,"text":"70046285 - 2012 - Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31","interactions":[],"lastModifiedDate":"2013-06-04T16:30:25","indexId":"70046285","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31","docAbstract":"This image is a mosaic of Landsat-7 images of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-7 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-7 on April 15, 1999 marks the addition of the latest satellite to the Landsat series. The Landsat-7 satellite carries the Enhanced Thematic Mapper Plus (ETM+) sensor.  A mechanical failure of the ETM+ Scan Line Corrector (SLC) occurred on May 31, 2003, with the result that all Landsat 7 scenes acquired from July 14, 2003 to present have been collected in 'SLC-off' mode. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046285","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 11, 2004: Path 45 Rows 30 and 31, Dataset, https://doi.org/10.3133/70046285.","productDescription":"Dataset","onlineOnly":"N","costCenters":[],"links":[{"id":273287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273283,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07112004_p45r30_l7_kl_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51af0c73e4b08a3322c2c394","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479373,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70043410,"text":"70043410 - 2012 - Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania","interactions":[],"lastModifiedDate":"2017-07-24T12:58:51","indexId":"70043410","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1559,"text":"Environmental Practice","active":true,"publicationSubtype":{"id":10}},"title":"Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania","docAbstract":"The increasing world demand for energy has led to an increase in the exploration and extraction of natural gas, condensate, and oil from unconventional organic-rich shale plays. However, little is known about the quantity, transport, and disposal method of wastes produced during the extraction process. We examined the quantity of waste produced by gas extraction activities from the Marcellus Shale play in Pennsylvania for 2011. The main types of wastes included drilling cuttings and fluids from vertical and horizontal drilling and fluids generated from hydraulic fracturing [i.e., flowback and brine (formation) water]. Most reported drill cuttings (98.4%) were disposed of in landfills, and there was a high amount of interstate (49.2%) and interbasin (36.7%) transport. Drilling fluids were largely reused (70.7%), with little interstate (8.5%) and interbasin (5.8%) transport. Reported flowback water was mostly reused (89.8%) or disposed of in brine or industrial waste treatment plants (8.0%) and largely remained within Pennsylvania (interstate transport was 3.1%) with little interbasin transport (2.9%). Brine water was most often reused (55.7%), followed by disposal in injection wells (26.6%), and then disposed of in brine or industrial waste treatment plants (13.8%). Of the major types of fluid waste, brine water was most often transported to other states (28.2%) and to other basins (9.8%). In 2011, 71.5% of the reported brine water, drilling fluids, and flowback was recycled: 73.1% in the first half and 69.7% in the second half of 2011. Disposal of waste to municipal sewage treatment plants decreased nearly 100% from the first half to second half of 2011. When standardized against the total amount of gas produced, all reported wastes, except flowback sands, were less in the second half than the first half of 2011. Disposal of wastes into injection disposal wells increased 129.2% from the first half to the second half of 2011; other disposal methods decreased. Some issues with data were uncovered during the analytical process (e.g., correct geospatial location of disposal sites and the proper reporting of end use of waste) that obfuscated the analyses; correcting these issues will help future analyses.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Practice","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge, UK","doi":"10.1017/S146604661200035X","usgsCitation":"Maloney, K.O., and Yoxtheimer, D.A., 2012, Production and disposal of waste materials from gas and oil extraction from the Marcellus Shale Play in Pennsylvania: Environmental Practice, v. 14, no. 4, p. 278-287, https://doi.org/10.1017/S146604661200035X.","productDescription":"10 p.","startPage":"278","endPage":"287","numberOfPages":"10","additionalOnlineFiles":"N","ipdsId":"IP-040757","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":270405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270404,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1017/S146604661200035X"}],"country":"United States","state":"Pennsylvania","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"515aac71e4b0105540728a60","contributors":{"authors":[{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":473542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yoxtheimer, David A.","contributorId":53672,"corporation":false,"usgs":true,"family":"Yoxtheimer","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":473543,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046343,"text":"70046343 - 2012 - Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31","interactions":[],"lastModifiedDate":"2013-06-10T11:00:09","indexId":"70046343","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31","docAbstract":"This subset of a Landsat-5 image shows part of the upper Klamath Basin. The original images were obtained from the U.S. Geological Survey Earth Resources Observation and Science Center (EROS). EROS is responsible for archive management and distribution of Landsat data products. The Landsat-5 satellite is part of an ongoing mission to provide quality remote sensing data in support of research and applications activities. The launch of Landsat-5 on March 1, 1984 marks the addition of the fifth satellite to the Landsat series. The Landsat-5 satellite carries the Thematic Mapper (TM) sensor. More information on the Landsat program can be found online at http://landsat.usgs.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046343","usgsCitation":"Snyder, D.T., 2012, Upper Klamath Basin Landsat Image for July 12, 2004: Path 44 Row 31, Dataset, https://doi.org/10.3133/70046343.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":273487,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/erosl1t_07122004_p44r31_l5_usgs_NAD83.xml"}],"country":"United States","state":"Oregon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.382600,41.991760 ], [ -123.382600,43.492919 ], [ -120.601579,43.492919 ], [ -120.601579,41.991760 ], [ -123.382600,41.991760 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51b6f56fe4b0097a7158e61f","contributors":{"authors":[{"text":"Snyder, Daniel T. dtsnyder@usgs.gov","contributorId":820,"corporation":false,"usgs":true,"family":"Snyder","given":"Daniel","email":"dtsnyder@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":479525,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70159358,"text":"70159358 - 2012 - Maximizing the utility of monitoring to the adaptive management of natural resources","interactions":[],"lastModifiedDate":"2021-10-21T15:36:09.17483","indexId":"70159358","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Maximizing the utility of monitoring to the adaptive management of natural resources","docAbstract":"<p><span>Data collection is an important step in any investigation about the structure or processes related to a natural system. In a purely scientific investigation (experiments, quasi-experiments, observational studies), data collection is part of the scientific method, preceded by the identification of hypotheses and the design of any manipulations of the system to test those hypotheses. Data collection and the manipulations that precede it are ideally designed to maximize the information that is derived from the study. That is, such investigations should be designed for maximum power to evaluate the relative validity of the hypotheses posed. When data collection is intended to inform the management of ecological systems, we call it monitoring. Note that our definition of monitoring encompasses a broader range of data-collection efforts than some alternative definitions &ndash; e.g. Chapter 3. The purpose of monitoring as we use the term can vary, from surveillance or &ldquo;thumb on the pulse&rdquo; monitoring (see Nichols and Williams 2006), intended to detect changes in a system due to any non-specified source (e.g. the North American Breeding Bird Survey), to very specific and targeted monitoring of the results of specific management actions (e.g. banding and aerial survey efforts related to North American waterfowl harvest management). Although a role of surveillance monitoring is to detect unanticipated changes in a system, the same result is possible from a collection of targeted monitoring programs distributed across the same spatial range (Box 4.1). In the face of limited budgets and many specific management questions, tying monitoring as closely as possible to management needs is warranted (Nichols and Williams 2006). Adaptive resource management (ARM; Walters 1986, Williams 1997, Kendall 2001, Moore and Conroy 2006, McCarthy and Possingham 2007, Conroy et al. 2008a) provides a context and specific purpose for monitoring: to evaluate decisions with respect to achievement of specific management objectives; and to evaluate the relative validity of predictive system models. This latter purpose is analogous to the role of data collection within the scientific method, in a research context.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Design and analysis of long-term ecological monitoring studies","language":"English","publisher":"Cambridge University Press","publisherLocation":"Cambridge; New York","doi":"10.1017/CBO9781139022422.007","usgsCitation":"Kendall, W.L., and Moore, C., 2012, Maximizing the utility of monitoring to the adaptive management of natural resources, chap. <i>of</i> Design and analysis of long-term ecological monitoring studies, p. 74-98, https://doi.org/10.1017/CBO9781139022422.007.","productDescription":"24 p.","startPage":"74","endPage":"98","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-028880","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":310570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"562a08d8e4b011227bf1fd8a","contributors":{"editors":[{"text":"Gitzen, Robert A.","contributorId":75498,"corporation":false,"usgs":true,"family":"Gitzen","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":578197,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cooper, Andrew B.","contributorId":112048,"corporation":false,"usgs":true,"family":"Cooper","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":578198,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":578199,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Licht, Daniel S.","contributorId":113213,"corporation":false,"usgs":true,"family":"Licht","given":"Daniel S.","affiliations":[],"preferred":false,"id":578200,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Kendall, William L. wkendall@usgs.gov","contributorId":406,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"wkendall@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":578195,"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":578196,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154812,"text":"70154812 - 2012 - Exploring similarities among many species distributions","interactions":[],"lastModifiedDate":"2015-08-20T11:25:31","indexId":"70154812","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring similarities among many species distributions","docAbstract":"<p><span>Collecting species presence data and then building models to predict species distribution has been long practiced in the field of ecology for the purpose of improving our understanding of species relationships with each other and with the environment. Due to limitations of computing power as well as limited means of using modeling software on HPC facilities, past species distribution studies have been unable to fully explore diverse data sets. We build a system that can, for the first time to our knowledge, leverage HPC to support effective exploration of species similarities in distribution as well as their dependencies on common environmental conditions. Our system can also compute and reveal uncertainties in the modeling results enabling domain experts to make informed judgments about the data. Our work was motivated by and centered around data collection efforts within the Great Smoky Mountains National Park that date back to the 1940s. Our findings present new research opportunities in ecology and produce actionable field-work items for biodiversity management personnel to include in their planning of daily management activities.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond","largerWorkSubtype":{"id":19,"text":"Conference Paper"},"conferenceTitle":"1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond","conferenceDate":"July 16-20, 2012","conferenceLocation":"Chicago, IL","language":"English","publisher":"ACM","doi":"10.1145/2335755.2335835","usgsCitation":"Simmerman, S., Wang, J., Osborne, J., Shook, K., Huang, J., Godsoe, W., and Simons, T.R., 2012, Exploring similarities among many species distributions, <i>in</i> Proceedings of the 1st Conference of the Extreme Science and Engineering Discovery Environment: Bridging from the eXtreme to the campus and beyond, Chicago, IL, July 16-20, 2012, art38, https://doi.org/10.1145/2335755.2335835.","productDescription":"art38","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-038608","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":307001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2012-07-16","publicationStatus":"PW","scienceBaseUri":"55d6fa32e4b0518e3546bc3a","contributors":{"authors":[{"text":"Simmerman, Scott","contributorId":146748,"corporation":false,"usgs":false,"family":"Simmerman","given":"Scott","email":"","affiliations":[],"preferred":false,"id":568863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Jingyuan","contributorId":10771,"corporation":false,"usgs":false,"family":"Wang","given":"Jingyuan","email":"","affiliations":[],"preferred":false,"id":568864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, James","contributorId":92188,"corporation":false,"usgs":true,"family":"Osborne","given":"James","email":"","affiliations":[],"preferred":false,"id":568865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shook, Kimberly","contributorId":146749,"corporation":false,"usgs":false,"family":"Shook","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":568866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Jia","contributorId":146750,"corporation":false,"usgs":false,"family":"Hu","given":"Jia","affiliations":[],"preferred":false,"id":568867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Godsoe, William","contributorId":131175,"corporation":false,"usgs":false,"family":"Godsoe","given":"William","email":"","affiliations":[{"id":6711,"text":"University of Idaho, Moscow ID","active":true,"usgs":false}],"preferred":false,"id":568868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":564226,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044132,"text":"70044132 - 2012 - Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas","interactions":[],"lastModifiedDate":"2020-09-11T18:41:20.076485","indexId":"70044132","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":606,"text":"AAPG Memoir","active":true,"publicationSubtype":{"id":10}},"title":"Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas","docAbstract":"<p>This chapter reviews and synthesizes the lithostratigraphy, biostratigraphy, chronostratigraphy, and breccia types of the southwestern part of the great American carbonate bank in the southern Franklin Mountains (SFM), El Paso, Texas. Primary stratigraphic units of focus are the Lower Ordovician El Paso and Upper Ordovician Montoya Groups. These groups preserve breccias formed by collapse of a paleocave system. Precambrian and Silurian units are discussed in the context of breccia clast composition and relative timing of breccia emplacement. Specific attention is paid to the juxtaposition of the top-Sauk second-order supersequence unconformity between the El Paso and Montoya Groups and its relationship to breccias above and below it. The unconformity represents a 10-m.y. exposure event that separates Upper and Lower Ordovician carbonates. The top-Sauk exposure has been previously documented as a significant karst horizon across much of North America.</p><p>The breccias of the SFM were previously described as the result of collapsed paleocaves that formed during subaerial exposure related to the Sauk-Tippecanoe unconformity. A new approach in this work uses traditional field mapping combined with high-resolution (<img src=\"http://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/IMAGES/LT.JPG\" alt=\"lt\" data-mce-src=\"http://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/IMAGES/LT.JPG\">1-m [<img src=\"http://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/IMAGES/LT.JPG\" alt=\"lt\" data-mce-src=\"http://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/IMAGES/LT.JPG\">3.3-ft] point spacing) airborne light detection and ranging (LIDAR) data over 24 km<sup>2</sup><span>&nbsp;</span>(9 mi<sup>2</sup>) to map breccia and relevant stratal surfaces. Airborne LIDAR data were used to create a digital outcrop model of the SFM from which a detailed (1:2000 scale) geologic map was created. The geologic map includes formation, fault, and breccia contacts. The digital outcrop model was used to interpret three-dimensional spatial relationships of breccia bodies with respect to the current understanding of the tectonic and stratigraphic evolution of the SFM. The data presented here are used to discuss potential stratigraphic, temporal, and tectonic controls on the formation of caves within the study area that eventually collapsed to form the breccias currently exposed in outcrop.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"AAPG","publisherLocation":"Tulsa, OK","doi":"10.1306/13331521M983516","usgsCitation":"Bellian, J.A., Kerans, C., and Repetski, J.E., 2012, Digital outcrop model of stratigraphy and breccias of the southern Franklin Mountains, El Paso, Texas, chap. <i>of</i> The great American carbonate bank: The geology and economic resources of the Cambrian-Ordovician Sauk megasequence of Laurentia: AAPG Memoir, v. 98, p. 909-939, https://doi.org/10.1306/13331521M983516.","productDescription":"31 p.","startPage":"909","endPage":"939","numberOfPages":"31","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-042949","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":270970,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298191,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://archives.datapages.com/data/specpubs/memoir98/CHAPTER36/CHAPTER36.HTM"}],"country":"United States","state":"Texas","city":"El Paso","otherGeospatial":"Franklin Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.56944274902344,\n              31.766121200173643\n            ],\n            [\n              -106.56944274902344,\n              31.99875937194732\n            ],\n            [\n              -106.43074035644531,\n              31.99875937194732\n            ],\n            [\n              -106.43074035644531,\n              31.766121200173643\n            ],\n            [\n              -106.56944274902344,\n              31.766121200173643\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"516e64d8e4b00154e4368b5b","contributors":{"editors":[{"text":"Derby, James R.","contributorId":68207,"corporation":false,"usgs":false,"family":"Derby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":13326,"text":"The University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":509234,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Fritz, R.D.","contributorId":113600,"corporation":false,"usgs":true,"family":"Fritz","given":"R.D.","email":"","affiliations":[],"preferred":false,"id":509237,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Longacre, S.A.","contributorId":112394,"corporation":false,"usgs":true,"family":"Longacre","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":509235,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Morgan, W.A.","contributorId":21228,"corporation":false,"usgs":true,"family":"Morgan","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":509233,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Sternbach, C.A.","contributorId":113505,"corporation":false,"usgs":true,"family":"Sternbach","given":"C.A.","email":"","affiliations":[],"preferred":false,"id":509236,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Bellian, Jerome A.","contributorId":139515,"corporation":false,"usgs":false,"family":"Bellian","given":"Jerome","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":541613,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kerans, Charles","contributorId":75838,"corporation":false,"usgs":false,"family":"Kerans","given":"Charles","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":474848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Repetski, John E. 0000-0002-2298-7120 jrepetski@usgs.gov","orcid":"https://orcid.org/0000-0002-2298-7120","contributorId":2596,"corporation":false,"usgs":true,"family":"Repetski","given":"John","email":"jrepetski@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":474847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042461,"text":"70042461 - 2012 - Appendix A: other methods for estimating trends of Arctic birds","interactions":[],"lastModifiedDate":"2015-01-16T11:18:45","indexId":"70042461","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Appendix A: other methods for estimating trends of Arctic birds","docAbstract":"<p>The Arctic PRISM was designed to determine shorebird population size and trend. During an extensive peer review of PRISM, some reviewers suggested that measuring demographic rates or monitoring shorebirds on migration would be more appropriate than estimating population size on the breeding grounds. However, each method has its own limitations. For demographic monitoring, an unbiased estimate based on a large sample of first-year survivorship would be extremely difficult for shorebirds in the arctic because the needed sample size would be unobtainable (in Canada at least) and the level of effort that would need to be expended (both financial and human resource-wise) would far exceed that of the current Arctic PRISM methodology. For migration monitoring, issues such as changes in use of monitored to non-monitored sites, residency times, and detection rates introduce bias that has not yet been resolved. While we believe demographic and migration monitoring are very valuable and are already components of the PRISM approach (e.g., Tier 2 sites focus on the collection of demographic data), we do not believe that either is likely to achieve the PRISM accuracy target of an 80% power to detect a 50% decline.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arctic shorebirds in North America: a decade of monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"Bart, J., Brown, S., Morrison, R., and Smith, P., 2012, Appendix A: other methods for estimating trends of Arctic birds, chap. <i>of</i> Arctic shorebirds in North America: a decade of monitoring, v. 44, p. 245-251.","productDescription":"7 p.","startPage":"245","endPage":"251","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025683","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297339,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273108"}],"volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d8ee4b0b290850f18e4","contributors":{"editors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":509163,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Johnston, Victoria","contributorId":90185,"corporation":false,"usgs":true,"family":"Johnston","given":"Victoria","affiliations":[],"preferred":false,"id":509164,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":471591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Stephen","contributorId":40096,"corporation":false,"usgs":true,"family":"Brown","given":"Stephen","affiliations":[],"preferred":false,"id":471589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, R.I. Guy","contributorId":52003,"corporation":false,"usgs":true,"family":"Morrison","given":"R.I. Guy","affiliations":[],"preferred":false,"id":471590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Paul A.","contributorId":73477,"corporation":false,"usgs":true,"family":"Smith","given":"Paul A.","affiliations":[],"preferred":false,"id":471592,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192326,"text":"70192326 - 2012 - Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 Deepwater Horizon blowout ","interactions":[],"lastModifiedDate":"2020-04-17T13:51:36.914247","indexId":"70192326","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 <i>Deepwater Horizon</i> blowout ","title":"Scientific basis for safely shutting in the Macondo Well after the April 20, 2010 Deepwater Horizon blowout ","docAbstract":"<p>As part of the government response to the <i>Deepwater Horizon</i> blowout, a Well Integrity Team evaluated the geologic hazards of shutting in the Macondo Well at the seafloor and determined the conditions under which it could safely be undertaken. Of particular concern was the possibility that, under the anticipated high shut-in pressures, oil could leak out of the well casing below the seafloor. Such a leak could lead to new geologic pathways for hydrocarbon release to the Gulf of Mexico. Evaluating this hazard required analyses of 2D and 3D seismic surveys, seafloor bathymetry, sediment properties, geophysical well logs, and drilling data to assess the geological, hydrological, and geomechanical conditions around the Macondo Well. After the well was successfully capped and shut in on July 15, 2010, a variety of monitoring activities were used to assess subsurface well integrity. These activities included acquisition of wellhead pressure data, marine multichannel seismic profiles, seafloor and water-column sonar surveys, and wellhead visual/acoustic monitoring. 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,{"id":70003924,"text":"70003924 - 2012 - Migrating birds’ use of stopover habitat in the southwestern United States","interactions":[],"lastModifiedDate":"2013-03-21T10:34:26","indexId":"70003924","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3551,"text":"The Condor","active":true,"publicationSubtype":{"id":10}},"title":"Migrating birds’ use of stopover habitat in the southwestern United States","docAbstract":"In the arid Southwest, migratory birds are known to use riparian stopover habitats; we know less about how migrants use other habitat types during migratory stopover. Using radar data and satellite land-cover data, we determined the habitats with which birds are associated during migration stopover. Bird densities differed significantly by habitat type at all sites in at least one season. In parts of Arizona and New Mexico upland forest supported high densities of migrants, especially in fall. Developed habitat, in areas with little upland forest, also supported high densities of migrants. Scrub/shrub and grassland habitats supported low to intermediate densities, but because these habitat types dominate the Southwestern landscape, they may provide stopover habitat for larger numbers of migratory birds than previously recognized. These results are complicated by continuing challenges related to target identity (i.e., distinguishing among birds, arthropods and bats). Our results suggest that it is too simplistic to (1) consider the arid West as a largely inhospitable landscape in which there are only relatively small oases of habitat that provide the resources needed by all migrants, (2) think of western riparian and upland forests as supporting the majority of migrants in all cases, and (3) consider a particular habitat unimportant for stopover solely on the basis of low densities of migrants.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"The Condor","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Cooper Ornithological Society","publisherLocation":"Waco, TX","doi":"10.1525/cond.2012.120020","usgsCitation":"Ruth, J.M., Diehl, R., and Felix, R., 2012, Migrating birds’ use of stopover habitat in the southwestern United States: The Condor, v. 114, no. 4, p. 698-710, https://doi.org/10.1525/cond.2012.120020.","productDescription":"13 p.","startPage":"698","endPage":"710","ipdsId":"IP-029588","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269846,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1525/cond.2012.120020"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.9,25.84 ], [ -126.9,49.0 ], [ -93.51,49.0 ], [ -93.51,25.84 ], [ -126.9,25.84 ] ] ] } } ] }","volume":"114","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c2be8e4b0cf4196fef31a","contributors":{"authors":[{"text":"Ruth, Janet M. 0000-0003-1576-5957 janet_ruth@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-5957","contributorId":1408,"corporation":false,"usgs":true,"family":"Ruth","given":"Janet","email":"janet_ruth@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":349531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diehl, R.H.","contributorId":28683,"corporation":false,"usgs":true,"family":"Diehl","given":"R.H.","email":"","affiliations":[],"preferred":false,"id":349532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Felix, R.K. Jr.","contributorId":39669,"corporation":false,"usgs":true,"family":"Felix","given":"R.K.","suffix":"Jr.","email":"","affiliations":[],"preferred":false,"id":349533,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042454,"text":"70042454 - 2012 - Design of future surveys","interactions":[],"lastModifiedDate":"2022-12-21T17:12:40.458852","indexId":"70042454","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"13","title":"Design of future surveys","docAbstract":"<p>This brief chapter addresses two related issues: how effort should be allocated to different parts of the sampling plan and, given optimal allocation, how large a sample will be required to achieve the PRISM accuracy target. Simulations based on data collected to date showed that 2 plots per cluster on rapid surveys, 2 intensive camps per field crew-year, 2-4 intensive plots per intensive camp, and 2-3 rapid surveys per intensive plot is the most efficient allocation of resources. Using this design, we investigated how crew-years should be allocated to each region in order to meet the PRISM accuracy target most efficiently. The analysis indicated that 40-50 crew-years would achieve the accuracy target for 18-24 of the 26 species breeding widely in the Arctic. This analysis was based on assuming that two rounds of surveys were conducted and that a 50% decline occurred between them. We discuss the complexity of making these estimates and why they should be viewed as first approximations.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arctic shorebirds in North America: A decade of monitoring","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of California Press","publisherLocation":"Berkeley, CA","usgsCitation":"Bart, J., and Smith, P., 2012, Design of future surveys, chap. 13 <i>of</i> Arctic shorebirds in North America: A decade of monitoring, v. 44, p. 201-210.","productDescription":"9 p.","startPage":"201","endPage":"210","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025859","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":268317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297351,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520273108"}],"volume":"44","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5455e4b0b290850f5ab8","contributors":{"editors":[{"text":"Bart, Jonathan R.","contributorId":74273,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":509162,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Johnston, Victoria H.","contributorId":70667,"corporation":false,"usgs":true,"family":"Johnston","given":"Victoria","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":509161,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Bart, Jonathan jon_bart@usgs.gov","contributorId":57025,"corporation":false,"usgs":true,"family":"Bart","given":"Jonathan","email":"jon_bart@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":471579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Paul A.","contributorId":73477,"corporation":false,"usgs":true,"family":"Smith","given":"Paul A.","affiliations":[],"preferred":false,"id":471580,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70032316,"text":"70032316 - 2012 - Intelligent estimation of spatially distributed soil physical properties","interactions":[],"lastModifiedDate":"2020-12-02T21:51:46.727938","indexId":"70032316","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1760,"text":"Geoderma","active":true,"publicationSubtype":{"id":10}},"title":"Intelligent estimation of spatially distributed soil physical properties","docAbstract":"<p><span>Spatial analysis of soil samples is often times not possible when measurements are limited in number or clustered. To obviate potential problems, we propose a new approach based on the self-organizing map (SOM) technique. This approach exploits underlying nonlinear relation of the steady-state geomorphic concave–convex nature of hillslopes (from hilltop to bottom of the valley) to spatially limited soil textural data. The topographic features are extracted from Shuttle Radar Topographic Mission elevation data; whereas soil textural (clay, silt, and sand) and hydraulic data were collected in 29 spatially random locations (50 to 75</span><span>&nbsp;</span><span>cm depth). In contrast to traditional principal component analysis, the SOM identifies relations among relief features, such as, slope, horizontal curvature and vertical curvature. Stochastic cross-validation indicates that the SOM is unbiased and provides a way to measure the magnitude of prediction uncertainty for all variables. The SOM cross-component plots of the soil texture reveals higher clay proportions at concave areas with convergent hydrological flux and lower proportions for convex areas with divergent flux. The sand ratio has an opposite pattern with higher values near the ridge and lower values near the valley. Silt has a trend similar to sand, although less pronounced. The relation between soil texture and concave–convex hillslope features reveals that subsurface weathering and transport is an important process that changed from loss-to-gain at the rectilinear hillslope point. These results illustrate that the SOM can be used to capture and predict nonlinear hillslope relations among relief, soil texture, and hydraulic conductivity data.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geoderma.2011.11.002","issn":"00167061","usgsCitation":"Iwashita, F., Friedel, M.J., Ribeiro, G., and Fraser, S.J., 2012, Intelligent estimation of spatially distributed soil physical properties: Geoderma, v. 170, p. 1-10, https://doi.org/10.1016/j.geoderma.2011.11.002.","productDescription":"10 p.","startPage":"1","endPage":"10","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":242483,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":214733,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.geoderma.2011.11.002"}],"volume":"170","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a3c98e4b0c8380cd62e87","contributors":{"authors":[{"text":"Iwashita, F.","contributorId":96912,"corporation":false,"usgs":true,"family":"Iwashita","given":"F.","affiliations":[],"preferred":false,"id":435582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedel, Michael J. 0000-0002-5060-3999 mfriedel@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":595,"corporation":false,"usgs":true,"family":"Friedel","given":"Michael","email":"mfriedel@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":435581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ribeiro, G.F.","contributorId":60032,"corporation":false,"usgs":true,"family":"Ribeiro","given":"G.F.","email":"","affiliations":[],"preferred":false,"id":435579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fraser, Stephen J.","contributorId":87769,"corporation":false,"usgs":true,"family":"Fraser","given":"Stephen","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":435580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70032219,"text":"70032219 - 2012 - Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California","interactions":[],"lastModifiedDate":"2013-03-06T16:58:12","indexId":"70032219","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California","docAbstract":"A recent evaluation of Martis Creek Dam highlighted the potential for dam failure due to either seepage or an earthquake on nearby faults. In 1972, the U.S. Army Corps of Engineers constructed this earthen dam, located within the Truckee Basin to the north of Lake Tahoe, CA for water storage and flood control. Past attempts to raise the level of the Martis Creek Reservoir to its design level have been aborted due to seepage at locations downstream, along the west dam abutment, and at the base of the spillway. In response to these concerns, the U.S. Geological Survey has undertaken a comprehensive suite of geophysical investigations aimed at understanding the interplay between geologic structure, seepage patterns, and reservoir and groundwater levels. This paper concerns the geologic structure surrounding Martis Creek Dam and emphasizes the importance of a regional-scale understanding to the interpretation of engineering-scale geophysical data. Our studies reveal a thick package of sedimentary deposits interbedded with Plio-Pleistocene volcanic flows; both the deposits and the flows are covered by glacial outwash. Magnetic field data, seismic tomography models, and seismic reflections are used to determine the distribution and chronology of the volcanic flows. Previous estimates of depth to basement (or the thickness of the interbedded deposits) was 100 m. Magnetotelluric soundings suggest that electrically resistive bedrock may be up to 2500 m deep. Both the Polaris Fault, identified outside of the study area using airborne LiDAR, and the previously unnamed Martis Creek Fault, have been mapped through the dam area using ground and airborne geophysics. Finally, as determined by direct-current resistivity imaging, time-domain electromagnetic sounding, and seismic refraction, the paleotopography of the interface between the sedimentary deposits and the overlying glacial outwash plays a principal role both in controlling groundwater flow and in the distribution of the observed seepage.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Geophysics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jappgeo.2011.11.002","issn":"09269851","usgsCitation":"Bedrosian, P.A., Burton, B., Powers, M., Minsley, B., Phillips, J., and Hunter, L.E., 2012, Geophysical investigations of geology and structure at the Martis Creek Dam, Truckee, California: Journal of Applied Geophysics, v. 77, p. 7-20, https://doi.org/10.1016/j.jappgeo.2011.11.002.","productDescription":"14 p.","startPage":"7","endPage":"20","costCenters":[],"links":[{"id":214727,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jappgeo.2011.11.002"},{"id":242477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Truckee","otherGeospatial":"Martis Creek Dam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.4,32.5 ], [ -124.4,42.0 ], [ -114.1,42.0 ], [ -114.1,32.5 ], [ -124.4,32.5 ] ] ] } } ] }","volume":"77","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a2832e4b0c8380cd59f0b","contributors":{"authors":[{"text":"Bedrosian, P. A.","contributorId":100109,"corporation":false,"usgs":true,"family":"Bedrosian","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":435101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, B.L.","contributorId":93983,"corporation":false,"usgs":true,"family":"Burton","given":"B.L.","email":"","affiliations":[],"preferred":false,"id":435100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Powers, M.H.","contributorId":40352,"corporation":false,"usgs":true,"family":"Powers","given":"M.H.","email":"","affiliations":[],"preferred":false,"id":435098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, B. J.","contributorId":52107,"corporation":false,"usgs":true,"family":"Minsley","given":"B. J.","affiliations":[],"preferred":false,"id":435099,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Phillips, J. D. 0000-0002-6459-2821","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":22366,"corporation":false,"usgs":true,"family":"Phillips","given":"J. D.","affiliations":[],"preferred":false,"id":435097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunter, L. E.","contributorId":100207,"corporation":false,"usgs":true,"family":"Hunter","given":"L.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":435102,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70035492,"text":"70035492 - 2012 - An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system","interactions":[],"lastModifiedDate":"2020-11-23T16:39:21.889556","indexId":"70035492","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system","docAbstract":"<p><span>Accurate topographic data are critical to restoration science and planning for the Everglades region of South Florida, USA. They are needed to monitor and simulate water level, water depth and hydroperiod and are used in scientific research on hydrologic and biologic processes. Because large wetland environments and data acquisition challenge conventional ground-based and remotely sensed data collection methods, the United States Geological Survey (USGS) adapted a classical data collection instrument to global positioning system (GPS) and geographic information system (GIS) technologies. Data acquired with this instrument were processed using geostatistics to yield sub-water level elevation values with centimetre accuracy (±15 cm). The developed database framework, modelling philosophy and metadata protocol allow for continued, collaborative model revision and expansion, given additional elevation or other ancillary data.</span></p>","language":"English","publisher":"Taylor & Francis Online","doi":"10.1080/01431161.2010.533212","issn":"01431161","usgsCitation":"Jones, J.W., Desmond, G., Henkle, C., and Glover, R., 2012, An approach to regional wetland digital elevation model development using a differential global positioning system and a custom-built helicopter-based surveying system: International Journal of Remote Sensing, v. 33, no. 2, p. 450-465, https://doi.org/10.1080/01431161.2010.533212.","productDescription":"16 p.","startPage":"450","endPage":"465","costCenters":[],"links":[{"id":242952,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215170,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2010.533212"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.14501953125,\n              25.105497373014686\n            ],\n            [\n              -80.22216796875,\n              25.145284610685064\n            ],\n            [\n              -79.8486328125,\n              25.898761936567023\n            ],\n            [\n              -79.9365234375,\n              26.33280692289788\n            ],\n            [\n              -82.0458984375,\n              26.33280692289788\n            ],\n            [\n              -81.14501953125,\n              25.105497373014686\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2011-10-28","publicationStatus":"PW","scienceBaseUri":"5059ea0ce4b0c8380cd485db","contributors":{"authors":[{"text":"Jones, J. W.","contributorId":89233,"corporation":false,"usgs":true,"family":"Jones","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":450891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmond, G.B.","contributorId":35014,"corporation":false,"usgs":true,"family":"Desmond","given":"G.B.","email":"","affiliations":[],"preferred":false,"id":450890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henkle, C.","contributorId":91319,"corporation":false,"usgs":true,"family":"Henkle","given":"C.","email":"","affiliations":[],"preferred":false,"id":450892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, R.","contributorId":103106,"corporation":false,"usgs":true,"family":"Glover","given":"R.","email":"","affiliations":[],"preferred":false,"id":450893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035458,"text":"70035458 - 2012 - Geochemical constraints on adakites of different origins and copper mineralization","interactions":[],"lastModifiedDate":"2020-11-13T20:05:13.127307","indexId":"70035458","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2309,"text":"Journal of Geology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical constraints on adakites of different origins and copper mineralization","docAbstract":"<p><span>The petrogenesis of adakites holds important clues to the formation of the continental crust and copper ± gold porphyry mineralization. However, it remains highly debated as to whether adakites form by slab melting, by partial melting of the lower continental crust, or by fractional crystallization of normal arc magmas. Here, we show that to form adakitic signature, partial melting of a subducting oceanic slab would require high pressure at depths of &gt;50 km, whereas partial melting of the lower continental crust would require the presence of plagioclase and thus shallower depths and additional water. These two types of adakites can be discriminated using geochemical indexes. Compiled data show that adakites from circum-Pacific regions, which have close affinity to subduction of young hot oceanic plate, can be clearly discriminated from adakites from the Dabie Mountains and the Tibetan Plateau, which have been attributed to partial melting of continental crust, in Sr/Y-versus-La/Yb diagram. Given that oceanic crust has copper concentrations about two times higher than those in the continental crust, whereas the high oxygen fugacity in the subduction environment promotes the release of copper during partial melting, slab melting provides the most efficient mechanism to concentrate copper and gold; slab melts would be more than two times greater in copper (and also gold) concentrations than lower continental crust melts and normal arc magmas. Thus, identification of slab melt adakites is important for predicting exploration targets for copper- and gold-porphyry ore deposits. This explains the close association of ridge subduction with large porphyry copper deposits because ridge subduction is the most favorable place for slab melting.</span></p>","language":"English","publisher":"The University of Chicago Press Books","doi":"10.1086/662736","issn":"00221376","usgsCitation":"Sun, W., Ling, M., Chung, S., Ding, X., Yang, X., Liang, H., Fan, W., Goldfarb, R., and Yin, Q., 2012, Geochemical constraints on adakites of different origins and copper mineralization: Journal of Geology, v. 120, no. 1, p. 105-120, https://doi.org/10.1086/662736.","productDescription":"16 p.","startPage":"105","endPage":"120","costCenters":[],"links":[{"id":243369,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215557,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1086/662736"}],"country":"China","otherGeospatial":"Dabie Mountains and the Tibetan 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X.","contributorId":49990,"corporation":false,"usgs":true,"family":"Ding","given":"X.","email":"","affiliations":[],"preferred":false,"id":450764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, X.-Y.","contributorId":9489,"corporation":false,"usgs":true,"family":"Yang","given":"X.-Y.","email":"","affiliations":[],"preferred":false,"id":450760,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liang, H.-Y.","contributorId":88576,"corporation":false,"usgs":true,"family":"Liang","given":"H.-Y.","email":"","affiliations":[],"preferred":false,"id":450767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fan, W.-M.","contributorId":100217,"corporation":false,"usgs":true,"family":"Fan","given":"W.-M.","email":"","affiliations":[],"preferred":false,"id":450768,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goldfarb, R.","contributorId":43113,"corporation":false,"usgs":true,"family":"Goldfarb","given":"R.","email":"","affiliations":[],"preferred":false,"id":450763,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yin, Q.-Z.","contributorId":64056,"corporation":false,"usgs":true,"family":"Yin","given":"Q.-Z.","email":"","affiliations":[],"preferred":false,"id":450765,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70035398,"text":"70035398 - 2012 - An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","interactions":[],"lastModifiedDate":"2023-09-25T11:06:08.54295","indexId":"70035398","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins","docAbstract":"Various sediment properties previously have been investigated for the purpose of determining sources of suspended sediment. A remaining research need is an assessment of element ratios for the determination of suspended-sediment sources in different terrestrial environments. In this study, 253 element ratios were assessed to determine which, if any, were potentially useful for sediment-source determinations in six small agricultural basins in northeastern Kansas, USA. Samples of surface soils (cropland and grassland), channel banks, and reservoir bottom sediments were collected, analyzed for 23 elements, and compared. Of the 253 element ratios assessed, only the Co/Pb and Co/Zn ratios were substantially and consistently different between the channel banks and surface soils for all six basins. For three of four reservoirs for which data were available, sediment-source estimates provided by Co/Pb ratios were in agreement with estimates previously provided using  137Cs. For two of the four reservoirs, sediment-source estimates provided by Co/Zn ratios were consistent with the  137Cs estimates. Thus, the Co/Pb ratio potentially may be more useful. Additional research is needed to ascertain whether or not the use of Co/Pb and Co/Zn ratios as tracers is widely applicable or restricted to specific terrestrial environments.","language":"English","publisher":"Taylor and Francis","doi":"10.2747/0272-3646.33.1.50","issn":"02723646","usgsCitation":"Juracek, K., 2012, An investigation of element ratios for assessing suspended-sediment sources in small agricultural basins: Physical Geography, v. 33, no. 1, p. 50-67, https://doi.org/10.2747/0272-3646.33.1.50.","productDescription":"18 p.","startPage":"50","endPage":"67","numberOfPages":"18","costCenters":[],"links":[{"id":215286,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2747/0272-3646.33.1.50"},{"id":243078,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-05-15","publicationStatus":"PW","scienceBaseUri":"5059ea8fe4b0c8380cd48942","contributors":{"authors":[{"text":"Juracek, K.","contributorId":19795,"corporation":false,"usgs":true,"family":"Juracek","given":"K.","affiliations":[],"preferred":false,"id":450462,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70035366,"text":"70035366 - 2012 - Monitoring on Xi'an ground fissures deformation with TerraSAR-X data","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035366","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3798,"text":"Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring on Xi'an ground fissures deformation with TerraSAR-X data","docAbstract":"Owing to the fine resolution of TerraSAR-X data provided since 2007, this paper applied 6 TerraSAR data (strip mode) during 3rd Dec. 2009 to 23rd Mar. 2010 to detect and monitor the active fissures over Xi'an region. Three themes have been designed for high precision detection and monitoring of Xi'an-Chang'an fissures, as small baseline subsets (SBAS) to test the atmospheric effects of differential interferograms pair stepwise, 2-pass differential interferogram with very short baseline perpendicular to generate the whole deformation map with 44 days interval, and finally, corner reflector (CR) technique was used to closely monitor the relative deformation time series between two CRs settled crossing two ground fissures. Results showed that TerraSAR data are a good choice for small-scale ground fissures detection and monitoring, while special considerations should be taken for their great temporal and baseline decorrelation. Secondly, ground fissures in Xi'an were mostly detected at the joint section of stable and deformable regions. Lastly, CR-InSAR had potential ability to monitor relative deformation crossing fissures with millimeter precision.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"Chinese","issn":"16718860","usgsCitation":"Zhao, C., Zhang, Q., Zhu, W., and Lu, Z., 2012, Monitoring on Xi'an ground fissures deformation with TerraSAR-X data: Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, v. 37, no. 1, p. 81-85.","startPage":"81","endPage":"85","numberOfPages":"5","costCenters":[],"links":[{"id":243011,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a5dd0e4b0c8380cd705f0","contributors":{"authors":[{"text":"Zhao, C.","contributorId":14655,"corporation":false,"usgs":true,"family":"Zhao","given":"C.","email":"","affiliations":[],"preferred":false,"id":450351,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Q.","contributorId":84163,"corporation":false,"usgs":true,"family":"Zhang","given":"Q.","email":"","affiliations":[],"preferred":false,"id":450353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhu, W.","contributorId":27686,"corporation":false,"usgs":true,"family":"Zhu","given":"W.","email":"","affiliations":[],"preferred":false,"id":450352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lu, Z.","contributorId":106241,"corporation":false,"usgs":true,"family":"Lu","given":"Z.","affiliations":[],"preferred":false,"id":450354,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035364,"text":"70035364 - 2012 - Regulation leads to increases in riparian vegetation, but not direct allochthonous inputs, along the Colorado River in Grand Canyon, Arizona","interactions":[],"lastModifiedDate":"2012-03-12T17:21:56","indexId":"70035364","displayToPublicDate":"2012-01-01T00:00:00","publicationYear":"2012","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Regulation leads to increases in riparian vegetation, but not direct allochthonous inputs, along the Colorado River in Grand Canyon, Arizona","docAbstract":"Dams and associated river regulation have led to the expansion of riparian vegetation, especially nonnative species, along downstream ecosystems. Nonnative saltcedar is one of the dominant riparian plants along virtually every major river system in the arid western United States, but allochthonous inputs have never been quantified along a segment of a large river that is dominated by saltcedar. We developed a novel method for estimating direct allochthonous inputs along the 387km-long reach of the Colorado River downstream of Glen Canyon Dam that utilized a GIS vegetation map developed from aerial photographs, empirical and literature-derived litter production data for the dominant vegetation types, and virtual shorelines of annual peak discharge (566m  3s  -1 stage elevation). Using this method, we estimate that direct allochthonous inputs from riparian vegetation for the entire reach studied total 186metric tonsyear  -1, which represents mean inputs of 470gAFDMm  -1year  -1 of shoreline or 5.17gAFDMm  -2year  -1 of river surface. These values are comparable to allochthonous inputs for other large rivers and systems that also have sparse riparian vegetation. Nonnative saltcedar represents a significant component of annual allochthonous inputs (36% of total direct inputs) in the Colorado River. We also estimated direct allochthonous inputs for 46.8km of the Colorado River prior to closure of Glen Canyon Dam using a vegetation map that was developed from historical photographs. Regulation has led to significant increases in riparian vegetation (270-319% increase in cover, depending on stage elevation), but annual allochthonous inputs appear unaffected by regulation because of the lower flood peaks on the post-dam river. Published in 2010 by John Wiley &amp; Sons, Ltd.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"River Research and Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rra.1431","issn":"15351459","usgsCitation":"Kennedy, T., and Ralston, B., 2012, Regulation leads to increases in riparian vegetation, but not direct allochthonous inputs, along the Colorado River in Grand Canyon, Arizona: River Research and Applications, v. 28, no. 1, p. 2-12, https://doi.org/10.1002/rra.1431.","startPage":"2","endPage":"12","numberOfPages":"11","costCenters":[],"links":[{"id":242977,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215194,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rra.1431"}],"volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2012-01-04","publicationStatus":"PW","scienceBaseUri":"50e4a5f2e4b0e8fec6cdc02e","contributors":{"authors":[{"text":"Kennedy, T.A.","contributorId":86155,"corporation":false,"usgs":true,"family":"Kennedy","given":"T.A.","email":"","affiliations":[],"preferred":false,"id":450341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ralston, B.E.","contributorId":61662,"corporation":false,"usgs":true,"family":"Ralston","given":"B.E.","email":"","affiliations":[],"preferred":false,"id":450340,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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