{"pageNumber":"1756","pageRowStart":"43875","pageSize":"25","recordCount":184717,"records":[{"id":70004843,"text":"ofr20111164 - 2011 - Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline","interactions":[],"lastModifiedDate":"2012-02-10T00:11:59","indexId":"ofr20111164","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-1164","title":"Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline","docAbstract":"From April 20 through July 15, 2010, an estimated 4.4 million barrels (1 barrel = 42 gallons [~700,000 cu m]) of crude oil spilled into the northern Gulf of Mexico (nGOM) from the ruptured British Petroleum (BP) Macondo-1 (M-1) well after the explosion of the drilling platform Deepwater Horizon. In addition, ~1.84 million gallons (~7,000 cu m) of hydrocarbon-based Corexit dispersants were applied to the oil both on and below the sea surface (Operational Science Advisory Team, 2010). An estimate of the total extent of the surface oil slick, derived from wind, ocean currents, aerial photography, and satellite imagery, was 68,000 square miles (~180,000 sq km; Amos and Norse, 2010). Spilled oil from this event impacted sensitive habitat along the shores of the nGOM.\n\nIn response to this environmental catastrophe, the U.S. Geological Survey (USGS) collected coastal sediment and tarball samples along the shores of the nGOM from Texas to Florida before and after oil made landfall. These sites included priority areas of the nGOM at highest risk for oil contamination. These areas included coastal wetlands, shorelines, and barrier islands that could suffer severe environmental damage if a significant amount of oil came ashore.\n\nSamples were collected before oil reached land from 69 sites; 49 were revisited to collect samples after oil landfall. This poster focuses on the samples from locations that were sampled on both occasions. The USGS samples and one M-1 well-oil sample provided by BP were analyzed for a suite of diagnostic geochemical biomarkers. Aided by multivariate statistical analysis, the M-1 well oil was not detected in the samples collected before landfall but have been identified in sediment and tarballs collected from Louisiana, Alabama, Mississippi, and Florida after landfall. None of the sediment hydrocarbon extracts from Texas correlated with the M-1 well oil. Oil-impacted sediment is confined to the shoreline adjacent to the cumulative oil slick of the Deepwater Horizon oil spill and no impact was observed outside of this area. Incorporation of the analytical data in geographical information systems (GIS) offers querying capabilities and visualizations such as those demonstrated here.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20111164","usgsCitation":"Wong, F.L., Rosenbauer, R.J., Campbell, P.L., Lam, A., Lorenson, T., Hostettler, F.D., and Thomas, B., 2011, Macondo-1 well oil in sediment and tarballs from the northern Gulf of Mexico shoreline: U.S. Geological Survey Open-File Report 2011-1164, Poster; 1 Sheet: 60.00 x 36.00 inches, https://doi.org/10.3133/ofr20111164.","productDescription":"Poster; 1 Sheet: 60.00 x 36.00 inches","startPage":"1","endPage":"1","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116125,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2011_1164.gif"},{"id":24363,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2011/1164/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96,27.5 ], [ -96,31.5 ], [ -82,31.5 ], [ -82,27.5 ], [ -96,27.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a53e4b07f02db62bb06","contributors":{"authors":[{"text":"Wong, Florence L. 0000-0002-3918-5896 fwong@usgs.gov","orcid":"https://orcid.org/0000-0002-3918-5896","contributorId":1990,"corporation":false,"usgs":true,"family":"Wong","given":"Florence","email":"fwong@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenbauer, Robert J. brosenbauer@usgs.gov","contributorId":204,"corporation":false,"usgs":true,"family":"Rosenbauer","given":"Robert","email":"brosenbauer@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351459,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Pamela L.","contributorId":76719,"corporation":false,"usgs":true,"family":"Campbell","given":"Pamela","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lam, Angela","contributorId":37312,"corporation":false,"usgs":true,"family":"Lam","given":"Angela","email":"","affiliations":[],"preferred":false,"id":351463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorenson, T.D. tlorenson@usgs.gov","contributorId":2622,"corporation":false,"usgs":true,"family":"Lorenson","given":"T.D.","email":"tlorenson@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":351461,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hostettler, Frances D. fdhostet@usgs.gov","contributorId":3383,"corporation":false,"usgs":true,"family":"Hostettler","given":"Frances","email":"fdhostet@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":351462,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Burt","contributorId":95454,"corporation":false,"usgs":true,"family":"Thomas","given":"Burt","affiliations":[],"preferred":false,"id":351465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004753,"text":"sir20115074 - 2011 - Simulation of specific conductance and chloride concentration in Abercorn Creek, Georgia, 2000-2009","interactions":[],"lastModifiedDate":"2017-01-17T11:01:35","indexId":"sir20115074","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5074","title":"Simulation of specific conductance and chloride concentration in Abercorn Creek, Georgia, 2000-2009","docAbstract":"The City of Savannah operates an industrial and domestic water-supply intake on Abercorn Creek approximately 2 miles from the confluence with the Savannah River upstream from the Interstate 95 bridge. Chloride concentrations are a major concern for the city because industrial customers require water with low chloride concentrations, and elevated chloride concentrations require additional water treatment in order to meet those needs. The proposed deepening of Savannah Harbor could increase chloride concentrations (the major ion in seawater) in the upper reaches of the lower Savannah River estuary, including Abercorn Creek. To address this concern, mechanistic and empirical modeling approaches were used to simulate chloride concentrations at the city's intake to evaluate potential effects from deepening the Savannah Harbor. The first approach modified the mechanistic Environmental Fluid Dynamics Code (EFDC) model developed by Tetra Tech and used for evaluating proposed harbor deepening effects for the Environmental Impact Statement. Chloride concentrations were modeled directly with the EFDC model as a conservative tracer. This effort was done by Tetra Tech under a separate funding agreement with the U.S. Army Corps of Engineers and documented in a separate report. The second approach, described in this report, was to simulate chloride concentrations by developing empirical models from the available data using artificial neural network (ANN) and linear regression models. The empirical models used daily streamflow, specific conductance (field measurement for salinity), water temperature, and water color time series for inputs. Because there are only a few data points that describe the relation between high specific conductance values at the Savannah River at Interstate 95 and the water plant intake, there was a concern that these few data points would determine the extrapolation of the empirical model and potentially underestimate the effect of deepening the harbor on chloride concentrations at the intake. To accommodate these concerns, two ANN chloride models were developed for the intake. The first model (ANN M1e) used all the data. The second model (ANN M2e) only used data when specific conductance at Interstate 95 was less than 175 microsiemens per centimeter at 25 degrees Celsius. Deleting the conductivity data greater than 175 microsiemens per centimeter removed the \"plateau\" effect observed in the data. The chloride simulations with the ANN M1 model have a low sensitivity to specific conductance (salinity) at Interstate 95, whereas the chloride simulations with the ANN M2 model have a high sensitivity to salinity at Interstate 95. The two modeling approaches (Tetra Tech's EFDC model and the one described in this report) were integrated into a decision support system (DSS) that combines the historical database, output from EFDC, ANN models, ANN model simulation controls, streaming graphics, and model output. The DSS was developed as a Microsoft ExcelTM/Visual Basic for Applications program, which allowed the DSS to be prototyped, easily modified, and distributed in a familiar spreadsheet format. The EFDC and ANN models were used to simulate various harbor deepening scenarios. To accommodate the geometry changes in the harbor, the ANN models used the EFDC model-simulated salinity changes for a historical condition as input. The DSS uses a graphical user interface and allows the user to interrogate the ANN models and EFDC output. Two scenarios were simulated using the Savannah Chloride Model DSS to demonstrate different input options. One scenario decreased winter streamflows to a constant streamflow for 45 days. Streamflows during the period January 1 to February 15 were set to a constant 3,600 cubic feet per second for the simulation period of October 1, 2006, to October 1, 2009. The decreased winter streamflow resulted in predictions of increased specific conductance by as much as 50 microsiemens per centimeter and chlorid","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115074","usgsCitation":"Conrads, P., Roehl, E.A., and Davie, S.R., 2011, Simulation of specific conductance and chloride concentration in Abercorn Creek, Georgia, 2000-2009: U.S. Geological Survey Scientific Investigations Report 2011-5074, viii, 40 p.; Appendix, https://doi.org/10.3133/sir20115074.","productDescription":"viii, 40 p.; Appendix","startPage":"i","endPage":"46","numberOfPages":"54","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2009-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":116208,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2011_5074.jpg"},{"id":21952,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5074/","linkFileType":{"id":5,"text":"html"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"NAD 83","country":"United States","state":"Georgia","otherGeospatial":"Abercorn Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.4,32 ], [ -81.4,32.55 ], [ -80.8,32.55 ], [ -80.8,32 ], [ -81.4,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f7e4b07f02db5f2289","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":351270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A. Jr.","contributorId":108083,"corporation":false,"usgs":false,"family":"Roehl","given":"Edwin","suffix":"Jr.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":351272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davie, Steven R.","contributorId":74497,"corporation":false,"usgs":true,"family":"Davie","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":351271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70004797,"text":"ds567 - 2011 - Groundwater withdrawals and associated well descriptions for the Nevada National Security Site, Nye County, Nevada, 1951-2008","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"ds567","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"567","title":"Groundwater withdrawals and associated well descriptions for the Nevada National Security Site, Nye County, Nevada, 1951-2008","docAbstract":"From 1951 to 2008, groundwater withdrawals totaled more than 25,000 million gallons from wells on and directly adjacent to the Nevada National Security Site. Total annual groundwater withdrawals ranged from about 30 million gallons in 1951 to as much as 1,100 million gallons in 1989. Annual withdrawals from individual wells ranged from 0 million gallons to more than 325 million gallons. Monthly withdrawal data for the wells were compiled in a Microsoft(copyright) Excel 2003 spreadsheet. Groundwater withdrawal data are a compilation of measured and estimated withdrawals obtained from published and unpublished reports, U.S. Geological Survey files, and/or data reported by other agencies. The withdrawal data were collected from 42 wells completed in 33 boreholes. A history of each well is presented in terms of its well construction, borehole lithology, withdrawals, and water levels.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds567","collaboration":"Prepared in cooperation with the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office, Office of Environmental Management under Interagency Agreement DE-A152-07NA28100","usgsCitation":"Elliott, P.E., and Moreo, M.T., 2011, Groundwater withdrawals and associated well descriptions for the Nevada National Security Site, Nye County, Nevada, 1951-2008: U.S. Geological Survey Data Series 567, viii, 124 p.; Appendices, https://doi.org/10.3133/ds567.","productDescription":"viii, 124 p.; Appendices","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":116645,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_567.png"},{"id":22671,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/567/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db658ebe","contributors":{"authors":[{"text":"Elliott, Peggy E. 0000-0002-7264-664X pelliott@usgs.gov","orcid":"https://orcid.org/0000-0002-7264-664X","contributorId":3805,"corporation":false,"usgs":true,"family":"Elliott","given":"Peggy","email":"pelliott@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":351355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moreo, Michael T. 0000-0002-9122-6958 mtmoreo@usgs.gov","orcid":"https://orcid.org/0000-0002-9122-6958","contributorId":2363,"corporation":false,"usgs":true,"family":"Moreo","given":"Michael","email":"mtmoreo@usgs.gov","middleInitial":"T.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004807,"text":"sir20115056 - 2011 - Hydrologic assessment of three drainage basins in the Pinelands of southern New Jersey, 2004-06","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"sir20115056","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-5056","title":"Hydrologic assessment of three drainage basins in the Pinelands of southern New Jersey, 2004-06","docAbstract":"The New Jersey Pinelands is an ecologically diverse area in the southern New Jersey Coastal Plain, most of which overlies the Kirkwood-Cohansey aquifer system. The demand for groundwater from this aquifer system is increasing as local development increases. Because any increase in groundwater withdrawals has the potential to affect streamflows and wetland water levels, and ultimately threaten the ecological health and diversity of the Pinelands ecosystem, the U.S. Geological Survey, in cooperation with the New Jersey Pinelands Commission, began a multi-phase hydrologic investigation in 2004 to characterize the hydrologic system supporting the aquatic and wetland communities of the New Jersey Pinelands area (Pinelands). The current investigation of the hydrology of three representative drainage basins in the Pinelands (Albertson Brook, McDonalds Branch, and Morses Mill Stream basins) included a compilation of existing data; collection of water-level and streamflow data; mapping of the water-table altitude and depth to the water table; and analyses of water-level and streamflow variability, subsurface gradients and flow patterns, and water budgets. During 2004-06, a hydrologic database of existing and new data from wells and stream sites was compiled. Methods of data collection and analysis were defined, and data networks consisting of 471 wells and 106 surface-water sites were established. Hydrographs from 26 water-level-monitoring wells and four streamflow-gaging stations were analyzed to show the response of water levels and streamflow to precipitation and recharge with respect to the locations of these wells and streams within each basin. Water-level hydrographs show varying hydraulic gradients and flow potentials, and indicate that responses to recharge events vary with well depth and proximity to recharge and discharge areas. Results of the investigation provide a detailed characterization of hydrologic conditions, processes, and relations among the components of the hydrologic cycle in the Pinelands. In the Pinelands, recharge replenishes the aquifer system and contributes to groundwater flow, most of which moves to wetlands and surface water where natural discharge occurs. Some groundwater flow is intercepted by supply wells. Recharge rates generally are highest during the non-growing season and are inversely related to evapotranspiration. Analysis of subsurface hydraulic gradients, water-table fluctuations, and streamflow variability indicates a strong linkage between groundwater and wetlands, lakes and streams. Gradient analysis indicates that most wetlands are in groundwater discharge areas, but some wetlands are in groundwater recharge areas. The depth to the water table ranges from zero at surface-water features up to about 10 meters in topographically high areas. Depth to water fluctuates seasonally, and the magnitude of these fluctuations generally increases with distance from surface water. Variations in the permeability of the soils and sediments of the aquifer system strongly affect patterns of water movement through the subsurface and the interaction of groundwater with wetlands, lakes and streams. Mean annual streamflow during 2004-06 ranged from 83 to 106 percent of the long-term mean annual discharge, indicating that the data-collection period can be considered representative of average conditions. Measurements of groundwater levels, stream stage, and stream discharge and locations of start-of-flow are illustrated in basin-wide maps of water-table altitude, depth to the water table, and stream base flow during the period. Water-level data collected along 15 hydrologic transects that span the range of environments from uplands through wetlands to surface water were used to determine hydraulic gradients, potential flow directions, and areas of recharge and discharge. These data provide information about the localized interactions of groundwater with wetlands and surface water. Wetlands were categorized with r","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20115056","usgsCitation":"Walker, R.L., Nicholson, R.S., and Storck, D.A., 2011, Hydrologic assessment of three drainage basins in the Pinelands of southern New Jersey, 2004-06: U.S. Geological Survey Scientific Investigations Report 2011-5056, viii, 101 p.; Tables, https://doi.org/10.3133/sir20115056.","productDescription":"viii, 101 p.; Tables","startPage":"i","endPage":"145","numberOfPages":"153","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2004-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":204040,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":22680,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2011/5056/","linkFileType":{"id":5,"text":"html"}},{"id":204788,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/BF00186338"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"NAD83","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.05,39.45 ], [ -75.05,40 ], [ -74.33333333333333,40 ], [ -74.33333333333333,39.45 ], [ -75.05,39.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a29e4b07f02db611781","contributors":{"authors":[{"text":"Walker, Richard L.","contributorId":38961,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":351391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":351389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storck, Donald A. dstorck@usgs.gov","contributorId":4311,"corporation":false,"usgs":true,"family":"Storck","given":"Donald","email":"dstorck@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":351390,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70003468,"text":"70003468 - 2011 - Coastal subsidence in Oregon, USA during the giant Cascadia earthquake of AD 1700","interactions":[],"lastModifiedDate":"2021-05-21T14:10:05.251733","indexId":"70003468","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Coastal subsidence in Oregon, USA during the giant Cascadia earthquake of AD 1700","docAbstract":"Quantitative estimates of land-level change during the giant AD 1700 Cascadia earthquake along the Oregon coast are inferred from relative sea-level changes reconstructed from fossil foraminiferal assemblages preserved within the stratigraphic record. A transfer function, based upon a regional training set of modern sediment samples from Oregon estuaries, is calibrated to fossil assemblages in sequences of samples across buried peat-mud and peat-sand contacts marking the AD 1700 earthquake. Reconstructions of sample elevations with sample-specific errors estimate the amount of coastal subsidence during the earthquake at six sites along 400 km of coast. The elevation estimates are supported by lithological, carbon isotope, and faunal tidal zonation data. Coseismic subsidence at Nehalem River, Nestucca River, Salmon River, Alsea Bay, Siuslaw River and South Slough varies between 0.18 m and 0.85 m with errors between 0.18 m and 0.32 m. These subsidence estimates are more precise, consistent, and generally lower than previous semi-quantitative estimates. Following earlier comparisons of semi-quantitative subsidence estimates with elastic dislocation models of megathrust rupture during great earthquakes, our lower estimates for central and northern Oregon are consistent with modeled rates of strain accumulation and amounts of slip on the subduction megathrust, and thus, with a magnitude of 9 for the AD 1700 earthquake.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.quascirev.2010.11.017","usgsCitation":"Hawkes, A., Horton, B.P., Nelson, A., Vane, C., and Sawai, Y., 2011, Coastal subsidence in Oregon, USA during the giant Cascadia earthquake of AD 1700: Quaternary Science Reviews, v. 30, no. 3-4, p. 364-376, https://doi.org/10.1016/j.quascirev.2010.11.017.","productDescription":"13 p.","startPage":"364","endPage":"376","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":474966,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://nora.nerc.ac.uk/id/eprint/13572/1/Hawkes_QSR_2011.pdf","text":"External Repository"},{"id":204028,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.079345703125,\n              42.01665183556825\n            ],\n            [\n              -123.01391601562499,\n              42.01665183556825\n            ],\n            [\n              -123.01391601562499,\n              46.27863122156088\n            ],\n            [\n              -125.079345703125,\n              46.27863122156088\n            ],\n            [\n              -125.079345703125,\n              42.01665183556825\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"30","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aeaad","contributors":{"authors":[{"text":"Hawkes, A. 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H.","affiliations":[],"preferred":false,"id":347401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sawai, Y.","contributorId":47510,"corporation":false,"usgs":false,"family":"Sawai","given":"Y.","affiliations":[],"preferred":false,"id":347402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70004747,"text":"fs20113060 - 2011 - Availability of groundwater data for California, water year 2010","interactions":[],"lastModifiedDate":"2012-03-08T17:16:41","indexId":"fs20113060","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3060","title":"Availability of groundwater data for California, water year 2010","docAbstract":"The U.S. Geological Survey, in cooperation with Federal, State, and local agencies, obtains a large amount of data pertaining to the groundwater resources of California each water year (October 1-September 30). These data constitute a valuable database for developing an improved understanding of the water resources of the State. \n\nThis Fact Sheet serves as an index to groundwater data for Water Year 2010. It contains a map of California showing the number of wells (by county) with available water-level or water-quality data for Water Year 2010 (fig. 1) and instructions for obtaining this and other groundwater information contained in the databases of the U.S. Geological Survey, California Water Science Center. \n\nFrom 1985 to 1993, data were published in the annual report \"Water Resources Data for California, Volume 5. Ground-Water Data\"; prior to 1985, the data were published in U.S. Geological Survey Water-Supply Papers.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113060","usgsCitation":"Ray, M., and Orlando, P., 2011, Availability of groundwater data for California, water year 2010: U.S. Geological Survey Fact Sheet 2011-3060, 2 p., https://doi.org/10.3133/fs20113060.","productDescription":"2 p.","startPage":"1","endPage":"2","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-10-01","temporalEnd":"2010-09-30","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":116616,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3060.bmp"},{"id":21946,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3060/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125,32.5 ], [ -125,42 ], [ -114,42 ], [ -114,32.5 ], [ -125,32.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d87f","contributors":{"authors":[{"text":"Ray, Mary","contributorId":51704,"corporation":false,"usgs":true,"family":"Ray","given":"Mary","affiliations":[],"preferred":false,"id":351254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlando, Patricia porlando@usgs.gov","contributorId":3667,"corporation":false,"usgs":true,"family":"Orlando","given":"Patricia","email":"porlando@usgs.gov","affiliations":[],"preferred":false,"id":351253,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004732,"text":"ds590 - 2011 - Archive of digital Chirp subbottom profile data collected during USGS cruises 09CCT03 and 09CCT04, Mississippi and Alabama Gulf Islands, June and July 2009","interactions":[],"lastModifiedDate":"2012-02-10T00:11:58","indexId":"ds590","displayToPublicDate":"2011-07-12T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"590","title":"Archive of digital Chirp subbottom profile data collected during USGS cruises 09CCT03 and 09CCT04, Mississippi and Alabama Gulf Islands, June and July 2009","docAbstract":"In June and July of 2009, the U.S. Geological Survey (USGS) conducted geophysical surveys to investigate the geologic controls on island framework from Cat Island, Mississippi, to Dauphin Island, Alabama, as part of a broader USGS study on Coastal Change and Transport (CCT). The surveys were funded through the Northern Gulf of Mexico Ecosystem Change and Hazard Susceptibility Project as part of the Holocene Evolution of the Mississippi-Alabama Region Subtask (http://ngom.er.usgs.gov/task2_2/index.php). This report serves as an archive of unprocessed digital Chirp seismic profile data, trackline maps, navigation files, Geographic Information System (GIS) files, Field Activity Collection System (FACS) logs, and formal Federal Geographic Data Committee (FGDC) metadata. Single-beam and Swath bathymetry data were also collected during these cruises and will be published as a separate archive. Gained (a relative increase in signal amplitude) digital images of the seismic profiles are also provided. Refer to the Acronyms page for expansion of acronyms and abbreviations used in this report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds590","usgsCitation":"Forde, A.S., Dadisman, S.V., Flocks, J.G., and Wiese, D.S., 2011, Archive of digital Chirp subbottom profile data collected during USGS cruises 09CCT03 and 09CCT04, Mississippi and Alabama Gulf Islands, June and July 2009: U.S. Geological Survey Data Series 590, HTML Document; DVD, https://doi.org/10.3133/ds590.","productDescription":"HTML Document; DVD","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"2009-06-01","temporalEnd":"2009-07-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":116236,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_590.jpg"},{"id":21941,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/590/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama;Mississippi","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.16666666666667,30.183611111111112 ], [ -89.16666666666667,30.266944444444444 ], [ -88.31666666666666,30.266944444444444 ], [ -88.31666666666666,30.183611111111112 ], [ -89.16666666666667,30.183611111111112 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac0e4b07f02db676d5f","contributors":{"authors":[{"text":"Forde, Arnell S. 0000-0002-5581-2255 aforde@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-2255","contributorId":376,"corporation":false,"usgs":true,"family":"Forde","given":"Arnell","email":"aforde@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":351234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wiese, Dana S. dwiese@usgs.gov","contributorId":2476,"corporation":false,"usgs":true,"family":"Wiese","given":"Dana","email":"dwiese@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":351235,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035023,"text":"70035023 - 2011 - Discrete choice modeling of shovelnose sturgeon habitat selection in the Lower Missouri River","interactions":[],"lastModifiedDate":"2020-12-16T18:52:44.274963","indexId":"70035023","displayToPublicDate":"2011-07-11T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Discrete choice modeling of shovelnose sturgeon habitat selection in the Lower Missouri River","docAbstract":"<p><span>Substantive changes to physical habitat in the Lower Missouri River, resulting from intensive management, have been implicated in the decline of pallid (</span><i>Scaphirhynchus albus</i><span>) and shovelnose (</span><i>S.&nbsp;platorynchus</i><span>) sturgeon. To aid in habitat rehabilitation efforts, we evaluated habitat selection of gravid, female shovelnose sturgeon during the spawning season in two sections (lower and upper) of the Lower Missouri River in 2005 and in the upper section in 2007. We fit discrete choice models within an information theoretic framework to identify selection of means and variability in three components of physical habitat. Characterizing habitat within divisions around fish better explained selection than habitat values at the fish locations. In general, female shovelnose sturgeon were negatively associated with mean velocity between them and the bank and positively associated with variability in surrounding depths. For example, in the upper section in 2005, a 0.5 m s</span><sup>−1</sup><span>&nbsp;decrease in velocity within 10 m in the bank direction increased the relative probability of selection 70%. In the upper section fish also selected sites with surrounding structure in depth (e.g., change in relief). Differences in models between sections and years, which are reinforced by validation rates, suggest that changes in habitat due to geomorphology, hydrology, and their interactions over time need to be addressed when evaluating habitat selection. Because of the importance of variability in surrounding depths, these results support an emphasis on restoring channel complexity as an objective of habitat restoration for shovelnose sturgeon in the Lower Missouri River.</span></p>","language":"English","publisher":"Springer- Verlag","doi":"10.1111/j.1439-0426.2010.01637.x","usgsCitation":"Bonnot, T., Wildhaber, M.L., Millspaugh, J., Delonay, A.J., Jacobson, R.B., and Bryan, J., 2011, Discrete choice modeling of shovelnose sturgeon habitat selection in the Lower Missouri River: Journal of Applied Ichthyology, v. 27, no. 2, p. 291-300, https://doi.org/10.1111/j.1439-0426.2010.01637.x.","productDescription":"10 p.","startPage":"291","endPage":"300","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":474974,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2010.01637.x","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":448926,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millspaugh, J.J.","contributorId":99105,"corporation":false,"usgs":true,"family":"Millspaugh","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":448928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeLonay, Aaron J. 0000-0002-3752-2799 adelonay@usgs.gov","orcid":"https://orcid.org/0000-0002-3752-2799","contributorId":2725,"corporation":false,"usgs":true,"family":"DeLonay","given":"Aaron","email":"adelonay@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":448924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":448927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bryan, J.L.","contributorId":15328,"corporation":false,"usgs":true,"family":"Bryan","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":448923,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189920,"text":"70189920 - 2011 - Scaling of peak flows with constant flow velocity in random self-similar networks","interactions":[],"lastModifiedDate":"2017-08-01T08:00:02","indexId":"70189920","displayToPublicDate":"2011-07-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2878,"text":"Nonlinear Processes in Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Scaling of peak flows with constant flow velocity in random self-similar networks","docAbstract":"<p><span>A methodology is presented to understand the role of the statistical self-similar topology of real river networks on scaling, or power law, in peak flows for rainfall-runoff events. We created Monte Carlo generated sets of ensembles of 1000 random self-similar networks (RSNs) with geometrically distributed interior and exterior generators having parameters&nbsp;</span><i>p</i><sub>i</sub><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>p</i><sub>e</sub><span>, respectively. The parameter values were chosen to replicate the observed topology of real river networks. We calculated flow hydrographs in each of these networks by numerically solving the link-based mass and momentum conservation equation under the assumption of constant flow velocity. From these simulated RSNs and hydrographs, the scaling exponents β and φ characterizing power laws with respect to drainage area, and corresponding to the width functions and flow hydrographs respectively, were estimated. We found that, in general, φ &gt; β, which supports a similar finding first reported for simulations in the river network of the Walnut Gulch basin, Arizona. Theoretical estimation of β and φ in RSNs is a complex open problem. Therefore, using results for a simpler problem associated with the expected width function and expected hydrograph for an ensemble of RSNs, we give heuristic arguments for theoretical derivations of the scaling exponents β</span><sup><i>(E)</i></sup><span><span>&nbsp;</span>and φ</span><sup><i>(E)</i></sup><span><span>&nbsp;</span>that depend on the Horton ratios for stream lengths and areas. These ratios in turn have a known dependence on the parameters of the geometric distributions of RSN generators. Good agreement was found between the analytically conjectured values of β</span><sup><i>(E)</i></sup><span><span>&nbsp;</span>and φ</span><sup><i>(E)</i></sup><span><span>&nbsp;</span>and the values estimated by the simulated ensembles of RSNs and hydrographs. The independence of the scaling exponents φ</span><sup><i>(E)</i></sup><span><span>&nbsp;</span>and φ with respect to the value of flow velocity and runoff intensity implies an interesting connection between unit hydrograph theory and flow dynamics. Our results provide a reference framework to study scaling exponents under more complex scenarios of flow dynamics and runoff generation processes using ensembles of RSNs.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/npg-18-489-2011","usgsCitation":"Troutman, B.M., Mantilla, R., and Gupta, V.K., 2011, Scaling of peak flows with constant flow velocity in random self-similar networks: Nonlinear Processes in Geophysics, v. 18, no. 4, p. 489-502, https://doi.org/10.5194/npg-18-489-2011.","productDescription":"14 p.","startPage":"489","endPage":"502","ipdsId":"IP-020233","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":474976,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/npg-18-489-2011","text":"Publisher Index Page"},{"id":344482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-07-22","publicationStatus":"PW","scienceBaseUri":"59819316e4b0e2f5d463b7ab","contributors":{"authors":[{"text":"Troutman, Brent M.","contributorId":195329,"corporation":false,"usgs":false,"family":"Troutman","given":"Brent","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":706772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mantilla, Ricardo","contributorId":195330,"corporation":false,"usgs":false,"family":"Mantilla","given":"Ricardo","email":"","affiliations":[],"preferred":false,"id":706773,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gupta, Vijay K.","contributorId":195331,"corporation":false,"usgs":false,"family":"Gupta","given":"Vijay","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":706774,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70190361,"text":"70190361 - 2011 - The rising sea","interactions":[],"lastModifiedDate":"2017-08-28T17:01:49","indexId":"70190361","displayToPublicDate":"2011-07-07T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2220,"text":"Journal of Coastal Research","active":true,"publicationSubtype":{"id":10}},"title":"The rising sea","docAbstract":"<p>No abstract available.<br></p>","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/10A-00002.1","usgsCitation":"Schwab, W.C., 2011, The rising sea: Journal of Coastal Research, v. 27, no. 1, p. 202-203, https://doi.org/10.2112/10A-00002.1.","productDescription":"2 p.","startPage":"202","endPage":"203","ipdsId":"IP-018370","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":474977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2112/10a-00002.1","text":"Publisher Index Page"},{"id":345221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59a52bd6e4b0fa5ae7c74841","contributors":{"authors":[{"text":"Schwab, William C. 0000-0001-9274-5154 bschwab@usgs.gov","orcid":"https://orcid.org/0000-0001-9274-5154","contributorId":417,"corporation":false,"usgs":true,"family":"Schwab","given":"William","email":"bschwab@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":708695,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70034460,"text":"70034460 - 2011 - Estimating site occupancy rates for aquatic plants using spatial sub-sampling designs when detection probabilities are less than one","interactions":[],"lastModifiedDate":"2020-12-15T17:52:07.892043","indexId":"70034460","displayToPublicDate":"2011-07-02T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":861,"text":"Aquatic Botany","active":true,"publicationSubtype":{"id":10}},"title":"Estimating site occupancy rates for aquatic plants using spatial sub-sampling designs when detection probabilities are less than one","docAbstract":"<p><span>Estimation of site occupancy rates when detection probabilities are &lt;1 is well established in wildlife science. Data from multiple visits to a sample of sites are used to estimate detection probabilities and the proportion of sites occupied by focal species. In this article we describe how site occupancy methods can be applied to estimate occupancy rates of plants and other sessile organisms. We illustrate this approach and the pitfalls of ignoring incomplete detection using spatial data for 2 aquatic vascular plants collected under the Upper Mississippi River's Long Term Resource Monitoring Program (LTRMP). Site occupancy models considered include: a naïve model that ignores incomplete detection, a simple site occupancy model assuming a constant occupancy rate and a constant probability of detection across sites, several models that allow site occupancy rates and probabilities of detection to vary with habitat characteristics, and mixture models that allow for unexplained variation in detection probabilities. We used information theoretic methods to rank competing models and bootstrapping to evaluate the goodness-of-fit of the final models. Results of our analysis confirm that ignoring incomplete detection can result in biased estimates of occupancy rates. Estimates of site occupancy rates for 2 aquatic plant species were 19–36% higher compared to naive estimates that ignored probabilities of detection &lt;1. Simulations indicate that final models have little bias when 50 or more sites are sampled, and little gains in precision could be expected for sample sizes &gt;300. We recommend applying site occupancy methods for monitoring presence of aquatic species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquabot.2011.06.004","issn":"03043770","usgsCitation":"Nielson, R.M., Gray, B., McDonald, L., and Heglund, P., 2011, Estimating site occupancy rates for aquatic plants using spatial sub-sampling designs when detection probabilities are less than one: Aquatic Botany, v. 95, no. 3, p. 221-225, https://doi.org/10.1016/j.aquabot.2011.06.004.","productDescription":"5 p.","startPage":"221","endPage":"225","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":381361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0b44e4b0c8380cd52654","contributors":{"authors":[{"text":"Nielson, R. M.","contributorId":22967,"corporation":false,"usgs":false,"family":"Nielson","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":445921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, B. R. 0000-0001-7682-9550","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":14785,"corporation":false,"usgs":true,"family":"Gray","given":"B. R.","affiliations":[],"preferred":false,"id":445919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, L.L.","contributorId":19906,"corporation":false,"usgs":true,"family":"McDonald","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":445920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heglund, P.J.","contributorId":44505,"corporation":false,"usgs":true,"family":"Heglund","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":445922,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70136183,"text":"70136183 - 2011 - Projected status of the Pacific walrus (Odobenus rosmarus divergens) in the twenty-first century","interactions":[],"lastModifiedDate":"2018-06-16T17:49:56","indexId":"70136183","displayToPublicDate":"2011-07-01T16:45:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3093,"text":"Polar Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Projected status of the Pacific walrus (<i>Odobenus rosmarus divergens</i>) in the twenty-first century","title":"Projected status of the Pacific walrus (Odobenus rosmarus divergens) in the twenty-first century","docAbstract":"<p><span>Extensive and rapid losses of sea ice in the Arctic have raised conservation concerns for the Pacific walrus (</span><i class=\"EmphasisTypeItalic \">Odobenus rosmarus divergens</i><span>), a large pinniped inhabiting arctic and subarctic continental shelf waters of the Chukchi and Bering seas. We developed a Bayesian network model to integrate potential effects of changing environmental conditions and anthropogenic stressors on the future status of the Pacific walrus population at four periods through the twenty-first century. The model framework allowed for inclusion of various sources and levels of knowledge, and representation of structural and parameter uncertainties. Walrus outcome probabilities through the century reflected a clear trend of worsening conditions for the subspecies. From the current observation period to the end of century, the greatest change in walrus outcome probabilities was a progressive decrease in the outcome state of robust and a concomitant increase in the outcome state of vulnerable. The probabilities of rare and extirpated states each progressively increased but remained &lt;10% through the end of the century. The summed probabilities of vulnerable, rare, and extirpated (P(v,r,e)) increased from a current level of 10% in 2004 to 22% by 2050 and 40% by 2095. The degree of uncertainty in walrus outcomes increased monotonically over future periods. In the model, sea ice habitat (particularly for summer/fall) and harvest levels had the greatest influence on future population outcomes. Other potential stressors had much smaller influences on walrus outcomes, mostly because of uncertainty in their future states and our current poor understanding of their mechanistic influence on walrus abundance.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00300-011-0967-4","usgsCitation":"Jay, C.V., Marcot, B., and Douglas, D.C., 2011, Projected status of the Pacific walrus (Odobenus rosmarus divergens) in the twenty-first century: Polar Biology, v. 34, no. 7, p. 1065-1084, https://doi.org/10.1007/s00300-011-0967-4.","productDescription":"20 p.","startPage":"1065","endPage":"1084","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024044","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":296959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-03-02","publicationStatus":"PW","scienceBaseUri":"54dd2c2ee4b08de9379b3692","contributors":{"authors":[{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":58015,"corporation":false,"usgs":true,"family":"Marcot","given":"Bruce G.","affiliations":[],"preferred":false,"id":537480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70136194,"text":"70136194 - 2011 - An individual and a sex odor signature in kittiwakes? Study of the semiochemical composition of preen secretion and preen down feathers","interactions":[],"lastModifiedDate":"2015-01-08T10:07:35","indexId":"70136194","displayToPublicDate":"2011-07-01T10:15:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3836,"text":"Naturwissenschaften","active":true,"publicationSubtype":{"id":10}},"title":"An individual and a sex odor signature in kittiwakes? Study of the semiochemical composition of preen secretion and preen down feathers","docAbstract":"<p>The importance of olfaction in birds' social behavior has long been denied. Avian chemical signaling has thus been relatively unexplored. The black-legged kittiwake provides a particularly appropriate model for investigating this topic. Kittiwakes preferentially mate with genetically dissimilar individuals, but the cues used to assess genetic characteristics remain unknown. As in other vertebrates, their body odors may carry individual and sexual signatures thus potentially reliably signaling individual genetic makeup. Here, we test whether body odors in preen gland secretion and preen down feathers in kittiwakes may provide a sex and an individual signature. Using gas chromatography and mass spectrometry, we found that male and female odors differ quantitatively, suggesting that scent may be one of the multiple cues used by birds to discriminate between sexes. We further detected an individual signature in the volatile and nonvolatile fractions of preen secretion and preen down feathers. These results suggest that kittiwake body odor may function as a signal associated with mate recognition. It further suggests that preen odor might broadcast the genetic makeup of individuals, and could be used in mate choice to assess the genetic compatibility of potential mates.</p>","language":"English","publisher":"Springer-Verlag Heidelberg","publisherLocation":"Heidelberg","doi":"10.1007/s00114-011-0809-9","usgsCitation":"Leclaire, S., Merkling, T., Raynaud, C., Giacinti, G., Bessiere, J., Hatch, S.A., and Danchin, E., 2011, An individual and a sex odor signature in kittiwakes? Study of the semiochemical composition of preen secretion and preen down feathers: Naturwissenschaften, v. 98, no. 7, p. 615-624, https://doi.org/10.1007/s00114-011-0809-9.","productDescription":"10 p.","startPage":"615","endPage":"624","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-026626","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":297077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":296876,"type":{"id":15,"text":"Index Page"},"url":"https://dx.doi.org/10.1007/s00114-011-0809-9"}],"volume":"98","issue":"7","noUsgsAuthors":false,"publicationDate":"2011-06-08","publicationStatus":"PW","scienceBaseUri":"54dd2b2ee4b08de9379b3296","contributors":{"authors":[{"text":"Leclaire, Sarah","contributorId":46385,"corporation":false,"usgs":true,"family":"Leclaire","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":537844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Merkling, Thomas","contributorId":19453,"corporation":false,"usgs":true,"family":"Merkling","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":537845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raynaud, C.","contributorId":46313,"corporation":false,"usgs":true,"family":"Raynaud","given":"C.","email":"","affiliations":[],"preferred":false,"id":537846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giacinti, Geraldine","contributorId":138561,"corporation":false,"usgs":false,"family":"Giacinti","given":"Geraldine","email":"","affiliations":[],"preferred":false,"id":537847,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bessiere, J.-M.","contributorId":107107,"corporation":false,"usgs":true,"family":"Bessiere","given":"J.-M.","email":"","affiliations":[],"preferred":false,"id":537848,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatch, Scott A. 0000-0002-0064-8187 shatch@usgs.gov","orcid":"https://orcid.org/0000-0002-0064-8187","contributorId":2625,"corporation":false,"usgs":true,"family":"Hatch","given":"Scott","email":"shatch@usgs.gov","middleInitial":"A.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":537212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danchin, Etienne","contributorId":69034,"corporation":false,"usgs":true,"family":"Danchin","given":"Etienne","email":"","affiliations":[],"preferred":false,"id":537849,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70005568,"text":"70005568 - 2011 - National Wildlife Health Center's quarterly wildlife mortality report January 2011 to March 2011","interactions":[],"lastModifiedDate":"2023-10-13T15:30:41.351527","indexId":"70005568","displayToPublicDate":"2011-07-01T10:01:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3769,"text":"Wildlife Disease Association Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"National Wildlife Health Center's quarterly wildlife mortality report January 2011 to March 2011","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","usgsCitation":"Ballmann, A., White, C.L., and Bradsby, J., 2011, National Wildlife Health Center's quarterly wildlife mortality report January 2011 to March 2011: Wildlife Disease Association Newsletter, no. July 2011, p. 7-8.","productDescription":"2 p.","startPage":"7","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-01-01","temporalEnd":"2011-03-31","ipdsId":"IP-030755","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":204705,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":115769,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://www.wildlifedisease.org/PersonifyEbusiness/Resources/Publications/Newsletter/Archive","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -180.17578125,\n              17.14079039331665\n            ],\n            [\n              -180.17578125,\n              72.71190310803662\n            ],\n            [\n              -65.7421875,\n              72.71190310803662\n            ],\n            [\n              -65.7421875,\n              17.14079039331665\n            ],\n            [\n              -180.17578125,\n              17.14079039331665\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","issue":"July 2011","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505bbba4e4b08c986b32874e","contributors":{"authors":[{"text":"Ballmann, Anne 0000-0002-0380-056X","orcid":"https://orcid.org/0000-0002-0380-056X","contributorId":104631,"corporation":false,"usgs":true,"family":"Ballmann","given":"Anne","affiliations":[],"preferred":false,"id":352830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, C. LeAnn 0000-0002-5004-5165","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":29571,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"","middleInitial":"LeAnn","affiliations":[],"preferred":false,"id":352828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradsby, Jennifer","contributorId":33664,"corporation":false,"usgs":true,"family":"Bradsby","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":352829,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173524,"text":"70173524 - 2011 - Avian influenza shedding patterns in waterfowl: implications for surveillance, environmental transmission, and disease spread","interactions":[],"lastModifiedDate":"2016-06-15T16:50:51","indexId":"70173524","displayToPublicDate":"2011-07-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza shedding patterns in waterfowl: implications for surveillance, environmental transmission, and disease spread","docAbstract":"<p><span>Despite the recognized importance of fecal/oral transmission of low pathogenic avian influenza (LPAI) via contaminated wetlands, little is known about the length, quantity, or route of AI virus shed by wild waterfowl. We used published laboratory challenge studies to evaluate the length and quantity of low pathogenic (LP) and highly pathogenic (HP) virus shed via oral and cloacal routes by AI-infected ducks and geese, and how these factors might influence AI epidemiology and virus detection. We used survival analysis to estimate the duration of infection (from virus inoculation to the last day virus was shed) and nonlinear models to evaluate temporal patterns in virus shedding. We found higher mean virus titer and longer median infectious period for LPAI-infected ducks (10&ndash;11.5 days in oral and cloacal swabs) than HPAI-infected ducks (5 days) and geese (7.5 days). Based on the median bird infectious dose, we found that environmental contamination is two times higher for LPAI- than HPAI-infectious ducks, which implies that susceptible birds may have a higher probability of infection during LPAI than HPAI outbreaks. Less environmental contamination during the course of infection and previously documented shorter environmental persistence for HPAI than LPAI suggest that the environment is a less favorable reservoir for HPAI. The longer infectious period, higher virus titers, and subclinical infections with LPAI viruses favor the spread of these viruses by migratory birds in comparison to HPAI. Given the lack of detection of HPAI viruses through worldwide surveillance, we suggest monitoring for AI should aim at improving our understanding of AI dynamics (in particular, the role of the environment and immunity) using long-term comprehensive live bird, serologic, and environmental sampling at targeted areas. Our findings on LPAI and HPAI shedding patterns over time provide essential information to parameterize environmental transmission and virus spread in predictive epizootiologic models of disease risks.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-47.3.566","usgsCitation":"Henaux, V., and Samuel, M.D., 2011, Avian influenza shedding patterns in waterfowl: implications for surveillance, environmental transmission, and disease spread: Journal of Wildlife Diseases, v. 47, no. 3, p. 566-578, https://doi.org/10.7589/0090-3558-47.3.566.","productDescription":"13 p.","startPage":"566","endPage":"578","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024605","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474978,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-47.3.566","text":"Publisher Index Page"},{"id":323724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57627c2ee4b07657d19a69cc","contributors":{"authors":[{"text":"Henaux, Viviane","contributorId":171388,"corporation":false,"usgs":false,"family":"Henaux","given":"Viviane","email":"","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":639149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637260,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046492,"text":"70046492 - 2011 - Isotopic tracing of perchlorate in the environment","interactions":[],"lastModifiedDate":"2018-08-29T09:42:42","indexId":"70046492","displayToPublicDate":"2011-06-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Isotopic tracing of perchlorate in the environment","docAbstract":"<p><span>Isotopic measurements can be used for tracing the sources and behavior of environmental contaminants. Perchlorate (ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>) has been detected widely in groundwater, soils, fertilizers, plants, milk, and human urine since 1997, when improved analytical methods for analyzing ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup></span><span>concentration became available for routine use. Perchlorate ingestion poses a risk to human health because of its interference with thyroidal hormone production. Consequently, methods for isotopic analysis of ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>have been developed and applied to assist evaluation of the origin and migration of this common contaminant. Isotopic data are now available for stable isotopes of oxygen and chlorine, as well as </span><sup>36</sup><span>Cl isotopic abundances, in ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>samples from a variety of natural and synthetic sources. These isotopic data provide a basis for distinguishing sources of ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>found in the environment, and for understanding the origin of natural ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>. In addition, the isotope effects of microbial ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>reduction have been measured in laboratory and field experiments, providing a tool for assessing ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>attenuation in the environment. Isotopic data have been used successfully in some areas for identifying major sources of ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>contamination in drinking water supplies. Questions about the origin and global biogeochemical cycle of natural ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>remain to be addressed; such work would benefit from the development of methods for preparation and isotopic analysis of ClO</span><span class=\"Stack\"> <sub>4</sub> <sup>−</sup> </span><span>in samples with low concentrations and complex matrices.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Handbook of environmental isotope geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-10637-8_22","isbn":"978-3-642-10636-1","usgsCitation":"Sturchio, N.C., Bohlke, J., Gu, B., Hatzinger, P., and Jackson, W.A., 2011, Isotopic tracing of perchlorate in the environment, chap. <i>of</i> Handbook of environmental isotope geochemistry, p. 437-452, https://doi.org/10.1007/978-3-642-10637-8_22.","productDescription":"16 p.","startPage":"437","endPage":"452","ipdsId":"IP-022737","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":342101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2011-06-30","publicationStatus":"PW","scienceBaseUri":"59366dade4b0f6c2d0d7d648","contributors":{"editors":[{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":697108,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":697103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":697104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gu, Baohua","contributorId":15504,"corporation":false,"usgs":true,"family":"Gu","given":"Baohua","affiliations":[],"preferred":false,"id":697105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatzinger, Paul B.","contributorId":43204,"corporation":false,"usgs":true,"family":"Hatzinger","given":"Paul B.","affiliations":[],"preferred":false,"id":697106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, W. Andrew","contributorId":191113,"corporation":false,"usgs":false,"family":"Jackson","given":"W.","email":"","middleInitial":"Andrew","affiliations":[],"preferred":false,"id":697107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189036,"text":"70189036 - 2011 - Newer views of the Moon: Comparing spectra from Clementine and the Moon Mineralogy Mapper","interactions":[],"lastModifiedDate":"2021-12-03T15:18:52.272959","indexId":"70189036","displayToPublicDate":"2011-06-30T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Newer views of the Moon: Comparing spectra from Clementine and the Moon Mineralogy Mapper","docAbstract":"<p><span>The Moon Mineralogy Mapper (M</span><sup>3</sup><span>) provided the first global hyperspectral data of the lunar surface in 85 bands from 460 to 2980 nm. The Clementine mission provided the first global multispectral maps the lunar surface in 11 spectral bands across the ultraviolet-visible (UV-VIS) and near-infrared (NIR). In an effort to understand how M</span><sup>3</sup><span><span>&nbsp;</span>improves our ability to analyze and interpret lunar data, we compare M</span><sup>3</sup><span><span>&nbsp;</span>spectra with those from Clementine's UV-VIS and NIR cameras. The Clementine mission provided the first global multispectral maps the lunar surface in 11 spectral bands across the UV-VIS and NIR. We have found that M</span><sup>3</sup><span><span>&nbsp;</span>reflectance values are lower across all wavelengths compared with albedos from both of Clementine's UV-VIS and NIR cameras. M</span><sup>3</sup><span><span>&nbsp;</span>spectra show the Moon to be redder, that is, have a steeper continuum slope, than indicated by Clementine. The 1<span>&nbsp;</span></span><i>μ</i><span>m absorption band depths may be comparable between the instruments, but Clementine data consistently exhibit shallower 2<span>&nbsp;</span></span><i>μ</i><span>m band depths than M</span><sup>3</sup><span>. Absorption band minimums are difficult to compare due to the significantly different spectral resolutions.</span></p>","language":"English","publisher":"AGU Publications","doi":"10.1029/2010JE003728","usgsCitation":"Georgiana Y. Kramer, Besse, S., Nettles, J., Combe, J., Clark, R.N., Pieters, C.M., Matthew Staid, Boardman, J., Green, R., McCord, T.B., Malaret, E., and Head, J.W., 2011, Newer views of the Moon: Comparing spectra from Clementine and the Moon Mineralogy Mapper: Journal of Geophysical Research, v. 116, no. E6, p. 1-11, https://doi.org/10.1029/2010JE003728.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-024466","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":474980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010je003728","text":"Publisher Index Page"},{"id":343135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Moon","volume":"116","issue":"E6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2011-04-09","publicationStatus":"PW","scienceBaseUri":"595611c7e4b0d1f9f05067e7","contributors":{"authors":[{"text":"Georgiana Y. Kramer","contributorId":193886,"corporation":false,"usgs":false,"family":"Georgiana Y. Kramer","affiliations":[],"preferred":false,"id":702505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Besse, Sebastian","contributorId":193890,"corporation":false,"usgs":false,"family":"Besse","given":"Sebastian","email":"","affiliations":[],"preferred":false,"id":702509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nettles, Jeff","contributorId":193915,"corporation":false,"usgs":false,"family":"Nettles","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":702604,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Combe, Jean-Philippe","contributorId":193887,"corporation":false,"usgs":false,"family":"Combe","given":"Jean-Philippe","email":"","affiliations":[],"preferred":false,"id":702506,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Roger N. 0000-0002-7021-1220 rclark@usgs.gov","orcid":"https://orcid.org/0000-0002-7021-1220","contributorId":515,"corporation":false,"usgs":true,"family":"Clark","given":"Roger","email":"rclark@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pieters, Carle M.","contributorId":193891,"corporation":false,"usgs":false,"family":"Pieters","given":"Carle","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":702605,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Matthew Staid","contributorId":193907,"corporation":false,"usgs":false,"family":"Matthew Staid","affiliations":[],"preferred":false,"id":702606,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boardman, Joseph","contributorId":193888,"corporation":false,"usgs":false,"family":"Boardman","given":"Joseph","email":"","affiliations":[],"preferred":false,"id":702507,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Green, Robert","contributorId":193889,"corporation":false,"usgs":false,"family":"Green","given":"Robert","email":"","affiliations":[],"preferred":false,"id":702508,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McCord, Thomas B.","contributorId":193920,"corporation":false,"usgs":false,"family":"McCord","given":"Thomas","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":702607,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Malaret, Erik","contributorId":193919,"corporation":false,"usgs":false,"family":"Malaret","given":"Erik","email":"","affiliations":[],"preferred":false,"id":702608,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Head, James W. III","contributorId":102954,"corporation":false,"usgs":true,"family":"Head","given":"James","suffix":"III","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":702609,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70168587,"text":"70168587 - 2011 - Loading of the San Andreas fault by flood-induced rupture of faults beneath the Salton Sea","interactions":[],"lastModifiedDate":"2016-02-22T14:15:31","indexId":"70168587","displayToPublicDate":"2011-06-26T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Loading of the San Andreas fault by flood-induced rupture of faults beneath the Salton Sea","docAbstract":"<p><span>The southern San Andreas fault has not experienced a large earthquake for approximately 300 years, yet the previous five earthquakes occurred at ~180-year intervals. Large strike-slip faults are often segmented by lateral stepover zones.&nbsp;Movement on smaller faults within a stepover zone could perturb the main fault segments and potentially trigger a large earthquake. The southern San Andreas fault terminates in an extensional stepover zone beneath the Salton Sea&mdash;a lake that has experienced periodic flooding and desiccation since the late Holocene. Here we reconstruct the magnitude and timing of fault activity beneath the Salton Sea over several earthquake cycles. We observe coincident timing between flooding events, stepover fault displacement and ruptures on the San Andreas fault. Using Coulomb stress models, we show that the combined effect of lake loading, stepover fault movement and increased pore pressure could increase stress on the southern San Andreas fault to levels sufficient to induce failure. We conclude that rupture of the stepover faults, caused by periodic flooding of the palaeo-Salton Sea and by tectonic forcing, had the potential to trigger earthquake rupture on the southern San Andreas fault. Extensional stepover zones are highly susceptible to rapid stress loading and thus the Salton Sea may be a nucleation point for large ruptures on the southern San Andreas fault.</span></p>","language":"English","publisher":"Nature Pub. Group","doi":"10.1038/ngeo1184","usgsCitation":"Brothers, D.S., Kilb, D., Luttrell, K., Driscoll, N.W., and Kent, G., 2011, Loading of the San Andreas fault by flood-induced rupture of faults beneath the Salton Sea: Nature Geoscience, v. 4, p. 486-492, https://doi.org/10.1038/ngeo1184.","productDescription":"7 p.","startPage":"486","endPage":"492","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024130","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":318289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"California","otherGeospatial":"Salton Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114,\n              34\n            ],\n            [\n              -114,\n              32\n            ],\n            [\n              -117,\n              32\n            ],\n            [\n              -117,\n              34\n            ],\n            [\n              -114,\n              34\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2011-06-26","publicationStatus":"PW","scienceBaseUri":"56cc3fefe4b059daa47e4632","contributors":{"authors":[{"text":"Brothers, Daniel S. 0000-0001-7702-157X dbrothers@usgs.gov","orcid":"https://orcid.org/0000-0001-7702-157X","contributorId":167089,"corporation":false,"usgs":true,"family":"Brothers","given":"Daniel","email":"dbrothers@usgs.gov","middleInitial":"S.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":620978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kilb, Debi","contributorId":90892,"corporation":false,"usgs":true,"family":"Kilb","given":"Debi","affiliations":[],"preferred":false,"id":620981,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Luttrell, Karen","contributorId":92971,"corporation":false,"usgs":true,"family":"Luttrell","given":"Karen","affiliations":[],"preferred":false,"id":620982,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Driscoll, Neal W.","contributorId":140186,"corporation":false,"usgs":false,"family":"Driscoll","given":"Neal","email":"","middleInitial":"W.","affiliations":[{"id":12888,"text":"Scripps Institution of Oceanography, Univ of California","active":true,"usgs":false}],"preferred":false,"id":620979,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kent, Graham","contributorId":7608,"corporation":false,"usgs":true,"family":"Kent","given":"Graham","affiliations":[],"preferred":false,"id":620980,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70173506,"text":"70173506 - 2011 - Population genetic structure of clinical and environmental isolates of Blastomyces dermatitidis based on 27 polymorphic microsatellite markers","interactions":[],"lastModifiedDate":"2016-06-09T15:50:36","indexId":"70173506","displayToPublicDate":"2011-06-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":850,"text":"Applied and Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic structure of clinical and environmental isolates of Blastomyces dermatitidis based on 27 polymorphic microsatellite markers","docAbstract":"<p><span id=\"named-content-2\" class=\"named-content genus-species\">Blastomyces dermatitidis</span><span>, a thermally dimorphic fungus, is the etiologic agent of North American blastomycosis. Clinical presentation is varied, ranging from silent infections to fulminant respiratory disease and dissemination to skin and other sites. Exploration of the population genetic structure of&nbsp;</span><span id=\"named-content-3\" class=\"named-content genus-species\">B. dermatitidis</span><span>&nbsp;would improve our knowledge regarding variation in virulence phenotypes, geographic distribution, and difference in host specificity. The objective of this study was to develop and test a panel of microsatellite markers to delineate the population genetic structure within a group of clinical and environmental isolates of&nbsp;</span><span id=\"named-content-4\" class=\"named-content genus-species\">B. dermatitidis</span><span>. We developed 27 microsatellite markers and genotyped&nbsp;</span><span id=\"named-content-5\" class=\"named-content genus-species\">B. dermatitidis</span><span>&nbsp;isolates from various hosts and environmental sources (</span><i>n</i><span>=112). Assembly of a neighbor-joining tree of allele-sharing distance revealed two genetically distinct groups, separated by a deep node. Bayesian admixture analysis showed that two populations were statistically supported. Principal coordinate analysis also reinforced support for two genetic groups, with the primary axis explaining 61.41% of the genetic variability. Group 1 isolates average 1.8 alleles/locus, whereas group 2 isolates are highly polymorphic, averaging 8.2 alleles/locus. In this data set, alleles at three loci are unshared between the two groups and appear diagnostic. The mating type of individual isolates was determined by PCR. Both mating type-specific genes, the HMG and &alpha;-box domains, were represented in each of the genetic groups, with slightly more isolates having the HMG allele. One interpretation of this study is that the species currently designated&nbsp;</span><span id=\"named-content-6\" class=\"named-content genus-species\">B. dermatitidis</span><span>&nbsp;includes a cryptic subspecies or perhaps a separate species.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/AEM.00258-11","usgsCitation":"Meece, J.K., Anderson, J.L., Fisher, M.C., Henk, D.A., Sloss, B.L., and Reed, K.D., 2011, Population genetic structure of clinical and environmental isolates of Blastomyces dermatitidis based on 27 polymorphic microsatellite markers: Applied and Environmental Microbiology, v. 77, no. 15, p. 5123-5131, https://doi.org/10.1128/AEM.00258-11.","productDescription":"9 p.","startPage":"5123","endPage":"5131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-029129","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":474982,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3147431","text":"External Repository"},{"id":323432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","issue":"15","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575a9335e4b04f417c275172","contributors":{"authors":[{"text":"Meece, Jennifer K.","contributorId":171700,"corporation":false,"usgs":false,"family":"Meece","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Jennifer L.","contributorId":171701,"corporation":false,"usgs":false,"family":"Anderson","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Matthew C.","contributorId":127711,"corporation":false,"usgs":false,"family":"Fisher","given":"Matthew","email":"","middleInitial":"C.","affiliations":[{"id":7115,"text":"Imperial College of London","active":true,"usgs":false}],"preferred":false,"id":638330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henk, Daniel A.","contributorId":171702,"corporation":false,"usgs":false,"family":"Henk","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":637218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Kurt D.","contributorId":171703,"corporation":false,"usgs":false,"family":"Reed","given":"Kurt","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638332,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70154916,"text":"70154916 - 2011 - Interactions with other large herbivores: Chapter 9","interactions":[],"lastModifiedDate":"2017-05-08T11:36:21","indexId":"70154916","displayToPublicDate":"2011-06-24T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Interactions with other large herbivores: Chapter 9","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and management of white-tailed deer","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"9781439806517","usgsCitation":"Jenks, J., and Leslie, D., 2011, Interactions with other large herbivores: Chapter 9, chap. <i>of</i> Biology and management of white-tailed deer, p. 287-310.","productDescription":"14 p.","startPage":"287","endPage":"310","ipdsId":"IP-021913","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":340922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340921,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Biology-and-Management-of-White-tailed-Deer/Hewitt/p/book/9781439806517"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b9e4b0e541a03c1a8c","contributors":{"authors":[{"text":"Jenks, Jonathan A.","contributorId":51591,"corporation":false,"usgs":true,"family":"Jenks","given":"Jonathan A.","affiliations":[],"preferred":false,"id":694427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leslie, David M. Jr. cleslie@usgs.gov","contributorId":145497,"corporation":false,"usgs":true,"family":"Leslie","given":"David M.","suffix":"Jr.","email":"cleslie@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":564346,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70210766,"text":"70210766 - 2011 - A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming","interactions":[],"lastModifiedDate":"2020-09-25T14:51:21.062832","indexId":"70210766","displayToPublicDate":"2011-06-23T13:51:04","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming","docAbstract":"<p><span>Loess accumulated on a Bull Lake outwash terrace of Marine Oxygen Isotope Stage 6 (MIS 6) age in southern Jackson Hole, Wyoming. The 9 m section displays eight intervals of loess deposition (Loess 1 to Loess 8, oldest), each followed by soil development. Our age-depth model is constrained by thermoluminescence, meteoric&nbsp;</span><span class=\"sup\">10</span><span>Be accumulation in soils, and cosmogenic&nbsp;</span><span class=\"sup\">10</span><span>Be surface exposure ages. We use particle size, geochemical, mineral-magnetic, and clay mineralogical data to interpret loess sources and pedogenesis. Deposition of MIS 6 loess was followed by a tripartite soil/thin loess complex (Soils 8, 7, and 6) apparently reflecting the large climatic oscillations of MIS 5. Soil 8 (MIS 5e) shows the strongest development. Loess 5 accumulated during a glacial interval (~ 76–69 ka; MIS 4) followed by soil development under conditions wetter and probably colder than present. Deposition of thick Loess 3 (~ 43–51 ka, MIS 3) was followed by soil development comparable with that observed in Soil 1. Loess 1 (MIS 2) accumulated during the Pinedale glaciation and was followed by development of Soil 1 under a semiarid climate. This record of alternating loess deposition and soil development is compatible with the history of Yellowstone vegetation and the glacial flour record from the Sierra Nevada.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1016/j.yqres.2011.03.006","usgsCitation":"Pierce, K.L., Muhs, D., Fosberg, M.A., Mahan, S.A., Rosenbaum, J.G., Licciardi, J.M., and Pavich, M.J., 2011, A loess–paleosol record of climate and glacial history over the past two glacial–interglacial cycles (~ 150 ka), southern Jackson Hole, Wyoming: Quaternary Research, v. 76, no. 1, p. 119-141, https://doi.org/10.1016/j.yqres.2011.03.006.","productDescription":"23 p.","startPage":"119","endPage":"141","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":375827,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","city":"Jackson","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.96466064453125,\n              43.3351671567243\n            ],\n            [\n              -110.64880371093749,\n              43.3351671567243\n            ],\n            [\n              -110.64880371093749,\n              43.671844983221604\n            ],\n            [\n              -110.96466064453125,\n              43.671844983221604\n            ],\n            [\n              -110.96466064453125,\n              43.3351671567243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Pierce, Kenneth L. kpierce@usgs.gov","contributorId":1609,"corporation":false,"usgs":true,"family":"Pierce","given":"Kenneth","email":"kpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":791328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":791329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fosberg, Maynard A.","contributorId":19690,"corporation":false,"usgs":true,"family":"Fosberg","given":"Maynard","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":791330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":791331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenbaum, Joseph G. jrosenbaum@usgs.gov","contributorId":1524,"corporation":false,"usgs":true,"family":"Rosenbaum","given":"Joseph","email":"jrosenbaum@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":791332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Licciardi, Joseph M.","contributorId":9759,"corporation":false,"usgs":false,"family":"Licciardi","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":791333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pavich, Milan J. mpavich@usgs.gov","contributorId":2348,"corporation":false,"usgs":true,"family":"Pavich","given":"Milan","email":"mpavich@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":791334,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70004498,"text":"cir1370 - 2011 - An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska","interactions":[],"lastModifiedDate":"2018-08-31T11:16:44","indexId":"cir1370","displayToPublicDate":"2011-06-23T13:22:41","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1370","title":"An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska","docAbstract":"The U. S. Geological Survey (USGS) was asked to conduct an initial, independent evaluation of the science needs that would inform the Administration's consideration of the right places and the right ways in which to develop oil and gas resources in the Arctic Outer Continental Shelf (OCS), particularly focused on the Beaufort and Chukchi Seas. Oil and gas potential is significant in Arctic Alaska. Beyond petroleum potential, this region supports unique fish and wildlife resources and ecosystems, and indigenous people who rely on these resources for subsistence. This report summarizes key existing scientific information and provides initial guidance of what new and (or) continued research could inform decision making. This report is presented in a series of topical chapters and various appendixes each written by a subset of the USGS OCS Team based on their areas of expertise. Three chapters (Chapters 2, 3, and 4) provide foundational information on geology; ecology and subsistence; and climate settings important to understanding the conditions pertinent to development in the Arctic OCS. These chapters are followed by three chapters that examine the scientific understanding, science gaps, and science sufficiency questions regarding oil-spill risk, response, and impact (Chapter 5), marine mammals and anthropogenic noise (Chapter 6), and cumulative impacts (Chapter 7). Lessons learned from the 1989 Exxon Valdez Oil Spill are included to identify valuable \"pre-positioned\" science and scientific approaches to improved response and reduced uncertainty in damage assessment and restoration efforts (appendix D). An appendix on Structured Decision Making (appendix C) is included to illustrate the value of such tools that go beyond, but incorporate, science in looking at what can/should be done about policy and implementation of Arctic development. The report provides a series of findings and recommendations for consideration developed during the independent examination of science gaps and sufficiency. These recommendations are important for understanding what the USGS discovered in the course of this study and to help inform and improve decision making.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1370","usgsCitation":"Holland-Bartels, L., and Pierce, B., 2011, An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska: U.S. Geological Survey Circular 1370, x, 222 p.; Appendices; 8 Chapters, https://doi.org/10.3133/cir1370.","productDescription":"x, 222 p.; Appendices; 8 Chapters","numberOfPages":"222","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":116234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir_1370.jpg"},{"id":21923,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1370","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179,67.75 ], [ -179,74 ], [ -135,74 ], [ -135,67.75 ], [ -179,67.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad8e4b07f02db68482b","contributors":{"authors":[{"text":"Holland-Bartels, Leslie","contributorId":99255,"corporation":false,"usgs":true,"family":"Holland-Bartels","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":350507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Brenda","contributorId":29940,"corporation":false,"usgs":true,"family":"Pierce","given":"Brenda","affiliations":[],"preferred":false,"id":350506,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004705,"text":"fs20113048 - 2011 - An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska","interactions":[],"lastModifiedDate":"2018-08-31T11:16:21","indexId":"fs20113048","displayToPublicDate":"2011-06-23T13:22:41","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3048","title":"An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska","docAbstract":"On March 31, 2010, Secretary of the Interior Ken Salazar announced a national strategy for Outer Continental Shelf (OCS) oil and gas development. In that announcement, the Administration outlined a three-pronged approach (U.S. Department of the Interior, 2010a): Development: \"...expand development and production throughout the Gulf of Mexico, including resource-rich areas of the Eastern Gulf of Mexico...\" Exploration: \"...expand oil and gas exploration in frontier areas, such as the Arctic Ocean and areas in the Atlantic Ocean, to gather the information necessary to develop resources in the right places and the right ways.\" Conservation: \"...calls for the protection of special areas like Bristol Bay in Alaska...national treasure[s] that we must protect for future generations.\" In a companion announcement (U.S. Department of the Interior, 2010b), within the Administration's \"Exploration\" component, the Secretary asked the U.S. Geological Survey (USGS) to conduct an initial, independent evaluation of the science needs that would inform the Administration's consideration of the right places and the right ways in which to develop oil and gas resources in the Arctic OCS, particularly focused on the Beaufort and Chukchi Seas (fig. 1).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20113048","usgsCitation":"Holland-Bartels, L., and Pierce, B., 2011, An evaluation of the science needs to inform decisions on Outer Continental Shelf energy development in the Chukchi and Beaufort Seas, Alaska: U.S. Geological Survey Fact Sheet 2011-3048, 4 p., https://doi.org/10.3133/fs20113048.","productDescription":"4 p.","numberOfPages":"4","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":116233,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2011_3048.png"},{"id":21924,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3048","linkFileType":{"id":5,"text":"html"}}],"state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -178,56.5 ], [ -178,74 ], [ -135,74 ], [ -135,56.5 ], [ -178,56.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad6e4b07f02db6842f9","contributors":{"authors":[{"text":"Holland-Bartels, Leslie","contributorId":99255,"corporation":false,"usgs":true,"family":"Holland-Bartels","given":"Leslie","email":"","affiliations":[],"preferred":false,"id":351203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Brenda","contributorId":29940,"corporation":false,"usgs":true,"family":"Pierce","given":"Brenda","affiliations":[],"preferred":false,"id":351202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70004711,"text":"fs20113054 - 2011 - Characterizing contaminant concentrations with depth by using the USGS well profiler in Oklahoma, 2003-9","interactions":[],"lastModifiedDate":"2012-08-30T17:16:17","indexId":"fs20113054","displayToPublicDate":"2011-06-23T13:22:41","publicationYear":"2011","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3054","title":"Characterizing contaminant concentrations with depth by using the USGS well profiler in Oklahoma, 2003-9","docAbstract":"Since 2003, the U.S. Geological Survey (USGS) Oklahoma Water Science Center has been using the USGS well profiler to characterize changes in water contribution and contaminant concentrations with depth in pumping public-supply wells in selected aquifers. The tools and methods associated with the well profiler, which were first developed by the USGS California Water Science Center, have been used to investigate common problems such as saline water intrusion in high-yield irrigation wells and metals contamination in high-yield public-supply wells.\nThe USGS well profiler is a slim (less than 1 inch in diameter), high-pressure hose that can be raised and lowered between the production pipe and casing (or borehole) of a well by using a motorized hose reel. Use of this tool is considerably less expensive than use of standard methods of depth-dependent sampling, and the USGS well profiler generally requires less downtime of the well. In terms of data quality, the greatest advantage of the USGS well profiler is that all data collection is performed under production pumping rates.\nIn Oklahoma, the USGS well profiler has been modified and adapted for use in low-yield (150?350 gallons per minute) wells of various construction types common in Oklahoma. This tool has been used in selected public-supply wells in Hinton, Moore, and Norman to identify which producing zones are contaminated by naturally occurring arsenic. The tool and method also can be used to investigate other nonvolatile contaminants of interest, including uranium, radium, barium, boron, lead, selenium, sulfate, chloride, fluoride, nitrate, and chromium.\nIn 2007, the USGS well profiler was used to investigate saline water intrusion in a deep public-supply well completed in the Ozark (Roubidoux) aquifer. In northeast Oklahoma, where the Ozark aquifer is known to be susceptible to contamination from mining activities, the well profiler also could be used to investigate sources (depths) of metals contamination and to identify routes of entry of metals to production wells.Water suppliers can consider well rehabilitation as a potential remediation strategy because of the ability to identify changes in contaminant concentrations with depth in individual wells with the USGS well profiler. Well rehabilitation methods, which are relatively inexpensive compared to drilling and completing new wells, involve modifying the construction or operation of a well to enhance the production of water from zones with lesser concentrations of a contaminant or to limit the production of water from zones with greater concentrations of a contaminant. One of the most effective well rehabilitation methods is zonal isolation, in which water from contaminated zones is excluded from production through installation of cement plugs or packers. 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