{"pageNumber":"1338","pageRowStart":"33425","pageSize":"25","recordCount":165359,"records":[{"id":70142794,"text":"70142794 - 2014 - Great Lakes prey fish populations: a cross-basin overview of status and trends based on bottom trawl surveys, 1978-2013","interactions":[],"lastModifiedDate":"2018-03-23T14:24:18","indexId":"70142794","displayToPublicDate":"2014-03-28T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Great Lakes prey fish populations: a cross-basin overview of status and trends based on bottom trawl surveys, 1978-2013","docAbstract":"<p>The assessment of Great Lakes prey fish stocks have been conducted annually with bottom trawls since the 1970s by the Great Lakes Science Center, sometimes assisted by partner agencies. These stock assessments provide data on the status and trends of prey fish that are consumed by important commercial and recreational fishes. Although all these annual surveys are conducted using bottom trawls, they differ among the lakes in the proportion of the lake covered, seasonal timing, trawl gear used, and the manner in which the trawl is towed (across or along bottom contours). Because each assessment is unique, population indices were standardized to the highest value for a time series within each lake for the following prey species: Cisco (Coregonus artedi), Bloater (C. hoyi), Rainbow Smelt (Osmerus mordax), Alewife (Alosa pseudoharengus), and Round Goby (Neogobius melanostomus). In this report, standardized indices are presented in graphical form along with synopses to provide a short, informal cross-basin summary of the status and trends of principal prey fishes. There was basin-wide agreement in the trends of age-1 and older biomass for all prey species, with the highest concordance occurring for coregonids and Rainbow Smelt, and weaker concordance for Alewife. For coregonids, the highest biomass occurred from the mid-1980s to the mid-1990s. Rainbow Smelt biomass declined slowly and erratically during the last quarter century. Alewife biomass was generally higher from the early 1980s through 1990s across the Great Lakes, but since the early 1990s, trends have been divergent across the lakes, though there has been a downward trend in all lakes since 2005. Recently, Lake Huron has shown resurgence in biomass of Bloater, achieving 75% of its maximum record in 2012 due to recruitment of a succession of strong and moderate year classes that appeared in 2005-2011. Also, strong recruitment of the 2010 year class of Alewife has led to a sharp increase in biomass of Alewife in Lake Michigan. In general, trends in year-class strengths were less concordant across the basin and only coregonids showed statistical agreement across the upper Great Lakes. The appearance of strong and moderate year-classes of Bloater in Lake Huron in 2005- 2011 countered the trend of continuing weak year-classes of coregonids in Lakes Michigan and Superior. Not shown in our analysis is the appearance of the 2013 year-class of Bloater in Huron, the largest to date. There was no agreement in cross-basin trends in year-class strengths for Rainbow Smelt and Alewife, although there was agreement between pairs of lakes. Although there was statistical agreement in trends of age-0 and older Round Goby biomass among lakes where this species has successfully invaded (Michigan, Huron, Erie and Ontario), temporal patterns of biomass in each lake were different. Round Goby may be approaching equilibrium in Lake Erie, peaking in Lake Huron, and expanding in Lake Michigan. The trend in Lake Ontario remains unclear. Declining abundance in Lake Erie has corresponded with evidence that Round Goby have become increasingly incorporated into piscivore diets, e.g., Lake Trout, Walleye, Smallmouth Bass, Yellow Perch, and Burbot in Lakes Michigan, Huron, Erie, and Ontario. Round Goby continue to be absent from spring bottom trawl assessments in Lake Superior, but their presence in the harbors and embayments of Duluth and Thunder Bay (U.S. Geological Survey and Ontario Ministry of Natural Resources, unpublished data), suggests that there is potential for future colonization.</p>","language":"English","publisher":"Great Lakes Fishery Commission","publisherLocation":"Ann Arbor, Michigan","doi":"10.3133/70142794","collaboration":"Great Lakes Fishery Commission","usgsCitation":"Gorman, O.T., and Weidel, B., 2014, Great Lakes prey fish populations: a cross-basin overview of status and trends based on bottom trawl surveys, 1978-2013, 9 p., https://doi.org/10.3133/70142794.","productDescription":"9 p.","startPage":"1","endPage":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055696","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70099932,"text":"ofr20141065 - 2014 - Preliminary interpretation of pre-2014 landslide deposits in the vicinity of Oso, Washington","interactions":[],"lastModifiedDate":"2023-05-26T15:30:08.282033","indexId":"ofr20141065","displayToPublicDate":"2014-03-27T16:12:50","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1065","title":"Preliminary interpretation of pre-2014 landslide deposits in the vicinity of Oso, Washington","docAbstract":"High-resolution topographic surveys allow fairly precise mapping of landslide deposits and their relative ages. Relative ages are determined by cross-cutting relations and the amount of smoothing—more smoothed slide deposits are older—of these deposits. The Tulalip Tribes, in partnership with the Puget Sound Lidar Consortium, acquired a high-resolution lidar (light detection and ranging) survey of the North Fork Stillaguamish River valley in 2013. This report presents a preliminary interpretation of the topography of this area using the lidar data at a scale of 1:24,000.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141065","usgsCitation":"Haugerud, R.A., 2014, Preliminary interpretation of pre-2014 landslide deposits in the vicinity of Oso, Washington: U.S. Geological Survey Open-File Report 2014-1065, Report: 4 pages; GIS Data Zip File, https://doi.org/10.3133/ofr20141065.","productDescription":"Report: 4 pages; GIS Data Zip File","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-055838","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417505,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99750.htm","linkFileType":{"id":5,"text":"html"}},{"id":285073,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1065/","linkFileType":{"id":5,"text":"html"}},{"id":285075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1065/pdf/ofr2014-1065.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":285077,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141065.png"},{"id":285076,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1065/downloads/ofr2014-1065_GIS.zip"}],"country":"United States","state":"Washington","city":"Oso","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.940536,48.258349 ], [ -121.940536,48.297727 ], [ -121.880529,48.297727 ], [ -121.880529,48.258349 ], [ -121.940536,48.258349 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705be4b05569d805a371","contributors":{"authors":[{"text":"Haugerud, Ralph A. 0000-0001-7302-4351 rhaugerud@usgs.gov","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":2691,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"rhaugerud@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":492070,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073968,"text":"ofr20141003 - 2014 - Hydrologic Drought Decision Support System (HyDroDSS)","interactions":[],"lastModifiedDate":"2014-03-27T14:22:43","indexId":"ofr20141003","displayToPublicDate":"2014-03-27T14:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1003","title":"Hydrologic Drought Decision Support System (HyDroDSS)","docAbstract":"<p>The hydrologic drought decision support system (HyDroDSS) was developed by the U.S. Geological Survey (USGS) in cooperation with the Rhode Island Water Resources Board (RIWRB) for use in the analysis of hydrologic variables that may indicate the risk for streamflows to be below user-defined flow targets at a designated site of interest, which is defined herein as data-collection site on a stream that may be adversely affected by pumping. Hydrologic drought is defined for this study as a period of lower than normal streamflows caused by precipitation deficits and (or) water withdrawals. The HyDroDSS is designed to provide water managers with risk-based information for balancing water-supply needs and aquatic-habitat protection goals to mitigate potential effects of hydrologic drought.</p>\n<br/>\n<p>This report describes the theory and methods for retrospective streamflow-depletion analysis, rank correlation analysis, and drought-projection analysis. All three methods are designed to inform decisions made by drought steering committees and decisionmakers on the basis of quantitative risk assessment. All three methods use estimates of unaltered streamflow, which is the measured or modeled flow without major withdrawals or discharges, to approximate a natural low-flow regime.</p>\n<br/>\n<p>Retrospective streamflow-depletion analysis can be used by water-resource managers to evaluate relations between withdrawal plans and the potential effects of withdrawal plans on streams at one or more sites of interest in an area. Retrospective streamflow-depletion analysis indicates the historical risk of being below user-defined flow targets if different pumping plans were implemented for the period of record. Retrospective streamflow-depletion analysis also indicates the risk for creating hydrologic drought conditions caused by use of a pumping plan. Retrospective streamflow-depletion analysis is done by calculating the net streamflow depletions from withdrawals and discharges and applying these depletions to a simulated record of unaltered streamflow.</p>\n<br/>\n<p>Rank correlation analysis in the HyDroDSS indicates the persistence of hydrologic measurements from month to month for the prediction of developing hydrologic drought conditions and quantitatively indicates which hydrologic variables may be used to indicate the onset of hydrologic drought conditions. Rank correlation analysis also indicates the potential use of each variable for estimating the monthly minimum unaltered flow at a site of interest for use in the drought-projection analysis. Rank correlation analysis in the HyDroDSS is done by calculating Spearman’s rho for paired samples and the 95-percent confidence limits of this rho value. Rank correlation analysis can be done by using precipitation, groundwater levels, measured streamflows, and estimated unaltered streamflows. Serial correlation analysis, which indicates relations between current and future values, can be done for a single site. Cross correlation analysis, which indicates relations among current values at one site and current and future values at a second site, also can be done.</p>\n<br/>\n<p>Drought-projection analysis in the HyDroDSS indicates the risk for being in a hydrologic drought condition during the current month and the five following months with and without pumping. Drought-projection analysis also indicates the potential effectiveness of water-conservation methods for mitigating the effect of withdrawals in the coming months on the basis of the amount of depletion caused by different pumping plans and on the risk of unaltered flows being below streamflow targets. Drought-projection analysis in the HyDroDSS is done with Monte Carlo methods by using the position analysis method. In this method the initial value of estimated unaltered streamflows is calculated by correlation to a measured hydrologic variable (monthly precipitation, groundwater levels, or streamflows from an index station identified with the rank correlation analysis). Then a pseudorandom number generator is used to create 251 six-month-long flow traces by using a bootstrap method. Serial correlation of the estimated unaltered monthly minimum streamflows determined from the rank correlation analysis is preserved within each flow trace. The sample of unaltered streamflows indicates the risk of being below flow targets in the coming months under simulated natural conditions (without historic withdrawals). The streamflow-depletion algorithms are then used to estimate risks of flow being below targets if selected pumping plans are used.</p>\n<br/>\n<p>This report also describes the implementation of the HyDroDSS. The HyDroDSS was developed as a Microsoft Access® database application to facilitate storage, handling, and use of hydrologic datasets with a simple graphical user interface. The program is implemented in the database by using the Visual Basic for Applications® (VBA) programming language. Program source code for the analytical techniques is provided in the HyDroDSS and in electronic text files accompanying this report. Program source code for the graphical user interface and for data-handling code, which is specific to Microsoft Access® and the HyDroDSS, is provided in the database. An installation package with a run-time version of the software is available with this report for potential users who do not have a compatible copy of Microsoft Access®. Administrative rights are needed to install this version of the HyDroDSS.</p>\n<br/>\n<p>A case study, to demonstrate the use of HyDroDSS and interpretation of results for a site of interest, is detailed for the USGS streamgage on the Hunt River (station 01117000) near East Greenwich in central Rhode Island. The Hunt River streamgage was used because it has a long record of streamflow and is in a well-studied basin with a substantial amount of hydrologic and water-use data including groundwater pumping for municipal water supply.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141003","collaboration":"Prepared in cooperation with the Rhode Island Water Resources Board","usgsCitation":"Granato, G., 2014, Hydrologic Drought Decision Support System (HyDroDSS): U.S. Geological Survey Open-File Report 2014-1003, Report: x, 91 p.; Make CD by ISO package, https://doi.org/10.3133/ofr20141003.","productDescription":"Report: x, 91 p.; Make CD by ISO package","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042923","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":285061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141003.jpg"},{"id":285059,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1003/ofr2014-1003_CDROM.iso"},{"id":285057,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1003/"},{"id":285058,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1003/pdf/ofr2014-1003.pdf"}],"projection":"Rhode Island state plane projection","country":"United States","state":"Rhode Island","city":"East Greenwich","otherGeospatial":"Hunt River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.575284,41.507592 ], [ -71.575284,41.674953 ], [ -71.426104,41.674953 ], [ -71.426104,41.507592 ], [ -71.575284,41.507592 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517047e4b05569d805a262","contributors":{"authors":[{"text":"Granato, Gregory E. 0000-0002-2561-9913 ggranato@usgs.gov","orcid":"https://orcid.org/0000-0002-2561-9913","contributorId":1692,"corporation":false,"usgs":true,"family":"Granato","given":"Gregory E.","email":"ggranato@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":489307,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094492,"text":"fs20143015 - 2014 - Estimating flood magnitude and frequency for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","interactions":[],"lastModifiedDate":"2016-12-07T11:42:39","indexId":"fs20143015","displayToPublicDate":"2014-03-27T13:03:00","publicationYear":"2014","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":"2014-3015","title":"Estimating flood magnitude and frequency for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","docAbstract":"Reliable estimates of the magnitude and frequency of floods are essential for the design of transportation and water-conveyance structures, flood insurance studies, and flood-plain management. Flood-frequency estimates are particularly important in densely populated urban areas. The U.S. Geological Survey (USGS) used a multistate approach to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina (Feaster and others, 2014). The multistate approach has the advantage over a single state approach of increasing the number of streamflow-gaging station (streamgages) available for analysis, expanding the geographical coverage that would allow for application of regional regression equations across state boundaries, and building on a previous flood-frequency investigation of rural streamgages in the Southeastern United States. This investigation was funded as part of a cooperative program of water-resources investigations between the USGS, the South Carolina Department of Transportation, and the North Carolina Department of Transportation. 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1e8","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":490648,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70093764,"text":"sir20145029 - 2014 - Hydrogeologic framework and salinity distribution of the Floridan aquifer system of Broward County, Florida","interactions":[],"lastModifiedDate":"2014-03-27T10:09:44","indexId":"sir20145029","displayToPublicDate":"2014-03-27T09:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5029","title":"Hydrogeologic framework and salinity distribution of the Floridan aquifer system of Broward County, Florida","docAbstract":"<p>Concerns about water-level decline and seawater intrusion in the surficial Biscayne aquifer, currently the principal source of water supply to Broward County, prompted a study to refine the hydrogeologic framework of the underlying Floridan aquifer system to evaluate its potential as an alternative source of supply. This report presents cross sections that illustrate the stratigraphy and hydrogeology in eastern Broward County; maps of the upper surfaces and thicknesses of several geologic formations or units within the Floridan aquifer system; and maps of two of the potentially productive water-bearing zones within the system, the Upper Floridan aquifer and the Avon Park permeable zone.</p>\n<br/>\n<p>An analysis of data on rock depositional textures, associated pore networks, and flow zones in the Floridan aquifer system shows that groundwater moves through the system in two ways. These data support a conceptual, dual-porosity model of the system wherein groundwater moves either as concentrated flow in discrete, thin bedding-plane vugs or zones of vuggy megaporosity, or as diffuse flow through rocks with primarily interparticle and moldic-particle porosity. Because considerable exchange of groundwater may occur between the zones of vuggy and matrix-dominated porosity, understanding the distribution of that porosity and flow zone types is important to evaluating the suitability of the several units within the Floridan aquifer system for managing the water through practices such as aquifer storage and recovery (ASR).</p>\n<br/>\n<p>The salinity of the water in the Floridan aquifer system is highest in the central part of the study area, and lower toward the north and south. Although salinity generally increases with depth, in the western part of the study area a zone of relatively high saline water is perched above water of lower salinity in the underlying Avon Park permeable zone. Overall, the areas of highest salinity in the aquifer system coincide with those with the lowest estimated transmissivity, so that the occurrence of perched saline water in the system may be the consequence of incompletely flushed connate water or intruded seawater.</p>\n<br/>\n<p>A seismic reflection profile along the Hillsboro Canal, at the northern edge of the study area, shows seven seismic-sag structures that are interpreted as downward deformation of overlying strata into collapsed deep cave systems. These structures may compromise the integrity of the confinement created by the underlying strata by allowing upconing of saline water from depth, which has implications for successful application of ASR and use of the Floridan aquifer system as an alternative water supply.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145029","collaboration":"Prepared in cooperation with Broward County, Florida","usgsCitation":"Reese, R.S., and Cunningham, K.J., 2014, Hydrogeologic framework and salinity distribution of the Floridan aquifer system of Broward County, Florida: U.S. Geological Survey Scientific Investigations Report 2014-5029, Report: vii, 60 p.; Appendix; Plate Directory, https://doi.org/10.3133/sir20145029.","productDescription":"Report: vii, 60 p.; Appendix; Plate Directory","numberOfPages":"72","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-026662","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":285022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145029.jpg"},{"id":285020,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5029/appendix"},{"id":285021,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5029/plates"},{"id":285018,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5029/"},{"id":285019,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5029/pdf/sir2014-5029.pdf"}],"projection":"Albers Equal Area Conic Projection","datum":"North American Datum 1983","country":"United States","state":"Florida","county":"Broward County","otherGeospatial":"Hillsboro Canal","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -80.37981,25.949959 ], [ -80.37981,26.37992 ], [ -80.060996,26.37992 ], [ -80.060996,25.949959 ], [ -80.37981,25.949959 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517047e4b05569d805a25d","contributors":{"authors":[{"text":"Reese, Ronald S. rsreese@usgs.gov","contributorId":1090,"corporation":false,"usgs":true,"family":"Reese","given":"Ronald","email":"rsreese@usgs.gov","middleInitial":"S.","affiliations":[],"preferred":true,"id":490204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":490205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099773,"text":"70099773 - 2014 - The role of landscape features and density dependence in growth and fledging rates of Piping Plovers in North Dakota, USA","interactions":[],"lastModifiedDate":"2017-08-31T11:01:50","indexId":"70099773","displayToPublicDate":"2014-03-27T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":996,"text":"BioOne","active":true,"publicationSubtype":{"id":10}},"title":"The role of landscape features and density dependence in growth and fledging rates of Piping Plovers in North Dakota, USA","docAbstract":"For species with precocial young, survival from hatching to fledging is a key factor influencing recruitment.  Furthermore, growth rates of precocial chicks are an indicator of forage quality and habitat suitability of brood-rearing areas. We examined how growth and fledging rates of Piping Plover (<i>Charadrius melodus</i>) chicks were influenced by landscape features, such as hatchling density (hatchlings per hectare of remotely sensed habitat [H ha<sup>-1</sup>]), island vs. mainland, and wind fetch (exposure to waves) at 2-km segments (n ¼ 15) of Lake Sakakawea, North Dakota, during 2007–2008. Hatchling growth was comparable with published estimates for other habitats. Models for fledging rate (fledged young per segment) assuming density dependence had more support (wi ¼ 96%) than those assuming density independence (wi ¼ 4%). Density-dependent processes appeared to influence fledging rate only at densities .5 H ha<sup>-1</sup>, which occurred in 19% of the segments we sampled. When areas with densities .5 H ha<sup>-1</sup> were excluded, density-dependence and density-independence models were equally supported (wi ¼ 52% and 48%, respectively). Fledging rate declined as the wind fetch of a segment increased. Fledging rate on mainland shorelines was 4.3 times greater than that on islands. Previous work has indicated that plovers prefer islands for nesting, but our results suggest that this preference is not optimal and could lead to an ecological trap for chicks. While other researchers have found nesting-habitat requirements to be gravelly areas on exposed beaches without fine-grain substrates, our results suggest that chicks fledge at lower rates in these habitats. Thus, breeding plovers likely require complexes of these nesting habitats along with protected areas with fine, nutrient-rich substrate for foraging by hatchlings.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"BioOne","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Condor","doi":"10.1650/CONDOR-13-001-R1.1","usgsCitation":"Anteau, M.J., Wiltermuth, M.T., Sherfy, M.H., Shaffer, T.L., and Pearse, A.T., 2014, The role of landscape features and density dependence in growth and fledging rates of Piping Plovers in North Dakota, USA: BioOne, v. 116, no. 2, p. 195-204, https://doi.org/10.1650/CONDOR-13-001-R1.1.","productDescription":"10 p.","startPage":"195","endPage":"204","ipdsId":"IP-041459","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-13-001-r1.1","text":"Publisher Index Page"},{"id":285024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284952,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1650/CONDOR-13-001-R1.1"}],"country":"United States","state":"North Dakota","otherGeospatial":"Lake Sakakawea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.5771,47.4491 ], [ -103.5771,48.1718 ], [ -101.2537,48.1718 ], [ -101.2537,47.4491 ], [ -103.5771,47.4491 ] ] ] } } ] }","volume":"116","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a403","contributors":{"authors":[{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wiltermuth, Mark T. 0000-0002-8871-2816 mwiltermuth@usgs.gov","orcid":"https://orcid.org/0000-0002-8871-2816","contributorId":708,"corporation":false,"usgs":true,"family":"Wiltermuth","given":"Mark","email":"mwiltermuth@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":492018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherfy, Mark H. 0000-0003-3016-4105 msherfy@usgs.gov","orcid":"https://orcid.org/0000-0003-3016-4105","contributorId":125,"corporation":false,"usgs":true,"family":"Sherfy","given":"Mark","email":"msherfy@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492017,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shaffer, Terry L. 0000-0001-6950-8951 tshaffer@usgs.gov","orcid":"https://orcid.org/0000-0001-6950-8951","contributorId":3192,"corporation":false,"usgs":true,"family":"Shaffer","given":"Terry","email":"tshaffer@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492020,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492019,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095888,"text":"ofr20141052 - 2014 - Monitoring fine-sediment volume in the Colorado River ecosystem, Arizona: construction and analysis of digital elevation models","interactions":[],"lastModifiedDate":"2014-03-27T08:31:20","indexId":"ofr20141052","displayToPublicDate":"2014-03-27T08:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1052","title":"Monitoring fine-sediment volume in the Colorado River ecosystem, Arizona: construction and analysis of digital elevation models","docAbstract":"<p>Digital elevation models (DEMs) of eleven 2–5 kilometer reaches of the Colorado River ecosystem (CRE) in Grand Canyon were constructed from repeat bathymetric and topographic surveys collected between August 2000 and December 2004. The DEMs will be used by researchers to study the effects of Glen Canyon Dam (GCD) operations on the sediment resources of the CRE in Grand Canyon by quantifying morphological changes and sediment transfer within and among the study reaches.</p>\n<br/>\n<p>Airborne surveys collected light detection and ranging (lidar) and photogrammetric data, whereas ground topographic and bathymetric data were collected simultaneously on river trips. Surveys were conducted in August 2000, September 2000, May 2002, May 2004, November 2004, and December 2004. The aerial lidar and photogrammetric data were merged with the ground topographic and bathymetric data to create DEMs of the study areas with a grid resolution of 1 meter. For each survey period, the vertical component of uncertainty (specifically, reproducibility or precision) was estimated for each data type (lidar/photogrammetry, ground surveys, bathymetry) and for two different types of bed-surface texture (smooth and rough).</p>\n<br/>\n<p>The resulting DEMs from this study are a valuable contribution to ongoing efforts in assessing the effects of GCD operations on the CRE. The DEMs can be used to map the spatial characteristics of geomorphic change within the study reaches and to estimate sediment budgets for different time periods by calculating the difference in sediment volume between surveys. In addition, the DEMs provide essential boundary conditions for numerical models of sediment transport and deposition, as well as help define the spatial distribution of habitat for fisheries investigations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141052","collaboration":"Prepared in cooperation with Northern Arizona University","usgsCitation":"Kaplinski, M., Hazel, J., Grams, P.E., and Davis, P.A., 2014, Monitoring fine-sediment volume in the Colorado River ecosystem, Arizona: construction and analysis of digital elevation models: U.S. Geological Survey Open-File Report 2014-1052, Report: v, 29 p.; Appendix 1; Digital products, https://doi.org/10.3133/ofr20141052.","productDescription":"Report: v, 29 p.; Appendix 1; Digital products","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-043600","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":285009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141052.jpg"},{"id":285006,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1052/pdf/ofr2014-1052.pdf"},{"id":285008,"type":{"id":7,"text":"Companion Files"},"url":"https://www.gcmrc.gov/research_areas/sediment_geomorphology/downloads/OFR_2014_1052/"},{"id":285007,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1052/pdf/ofr2014-1052_Appendix.pdf"},{"id":285005,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1052/"}],"projection":"1983 Arizona State Plane","datum":"North American Datum 1983","country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.2468,35.003 ], [ -114.2468,37.2631 ], [ -110.6625,37.2631 ], [ -110.6625,35.003 ], [ -114.2468,35.003 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517056e4b05569d805a339","contributors":{"authors":[{"text":"Kaplinski, Matt","contributorId":65817,"corporation":false,"usgs":true,"family":"Kaplinski","given":"Matt","affiliations":[],"preferred":false,"id":491465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hazel, Joseph E. Jr.","contributorId":91819,"corporation":false,"usgs":true,"family":"Hazel","given":"Joseph E.","suffix":"Jr.","affiliations":[],"preferred":false,"id":491466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":491464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":491463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048989,"text":"sir20135204 - 2014 - Acute and chronic sensitivity of white sturgeon (<i>Acipenser transmontanus</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>) to cadmium, copper, lead, or zinc in laboratory water-only exposures","interactions":[],"lastModifiedDate":"2014-03-26T12:59:41","indexId":"sir20135204","displayToPublicDate":"2014-03-26T12:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5204","title":"Acute and chronic sensitivity of white sturgeon (<i>Acipenser transmontanus</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>) to cadmium, copper, lead, or zinc in laboratory water-only exposures","docAbstract":"<p>White sturgeon (Acipenser transmontanus) are experiencing poor recruitment in the trans boundary reach of the upper Columbia River in eastern Washington State. Limited toxicity data indicated that early life stages of white sturgeon are sensitive to metals. In acute 4-day (d) exposures with larval white sturgeon, previous studies have reported that the 4-day median lethal concentrations (LC50) based on biotic ligand model (BLM) normalization for copper were below the U.S. Environmental Protection Agency national recommended acute water-quality criterion. In previously published chronic 66-d exposures starting with newly fertilized eggs of white sturgeon, 20-percent lethal effect concentrations (LC20s) for copper, cadmium, or zinc generally were within a factor of two of the chronic values of the most sensitive fish species in the databases of the U.S. Environmental Protection Agency water-quality criteria (WQC) for the three metals. However, there were some uncertainties in the chronic exposures previously performed with white sturgeon, including (1) low control survival (37 percent), (2) more control fish tested in each replicate compared to other treatments, (3) limited replication of treatments (n=2), (4) lack of reported growth data (such as dry weight), and (5) wide dilution factors for exposure concentrations (6- to 8-fold dilutions). The U.S. Environmental Protection Agency concluded that additional studies are needed to generate more toxicity data to better define lethal and sublethal toxicity thresholds for metals for white sturgeon.</p>\n<br>\n<p>The objective of the study was to further evaluate the acute and chronic toxicity of cadmium, copper, lead, or zinc to early life stages of white sturgeon in water-only exposures. Toxicity tests also were performed with commonly tested rainbow trout (Oncorhynchus mykiss) under similar test conditions to determine the relative sensitivity between white sturgeon and rainbow trout to these metals. Toxicity data generated from this study were used to evaluate the sensitivity of early life stages of white sturgeon and rainbow trout relative to data published for other test organisms. Toxicity data generated from this study also were used to evaluate the level of protection of U.S. Environmental Protection Agency WQC or Washington State water-quality standards (WQS) for copper, zinc, cadmium, or lead to white sturgeon inhabiting the upper Columbia River.</p>\n<br>\n<p>Chapter A of this report summarizes the results of acute toxicity tests performed for 4 d with white sturgeon and rainbow trout exposed to copper, cadmium, or zinc. Chapter B of this report summarizes the results of chronic toxicity tests performed for as many as 53 days with white sturgeon or rainbow trout exposed to copper, cadmium, zinc, or lead. Appendixes to the report are available at <a href=\"http://pubs.usgs.gov/sir/2013/5204\">http://pubs.usgs.gov/sir/2013/5204</a>. Supporting documentation for chapter A toxicity testing is provided in appendix 1. Supporting documentation for chapter B toxicity testing is provided in Appendix 2. Supporting documentation on analysis of water chemistry for chapter A and chapter B is provided in appendix 3 and 4. The rationale for applying corrections to measured copper and zinc values in water samples from some of the toxicity tests performed in chapter A is provided in appendix 5. A summary of dissolved organic carbon measurement variability and implications for biotic ligand model normalization for toxicity data summarized in chapter A and chapter B are provided in appendix 6. An evaluation of an interlaboratory comparison of analyses for dissolved organic carbon in water from the U.S. Geological Survey Columbia Environmental Research Center and University of Saskatchewan is provided in appendix 7. Finally, appendix 8 provides a summary of retesting of white sturgeon in 2012 to determine if improved survival of sturgeon would affect copper effect concentrations in 24-d copper exposures started with newly hatched larvae, and to evaluate the effect of light intensity or temperature on the response of newly hatched larvae during a 25-d study.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135204","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency and Teck American, Inc.","usgsCitation":"Ingersoll, C.G., Contributions by Wang, N., Calfee, R.D., Beahan, E., Brumbaugh, W.G., Dorman, R.A., Hardesty, D.K., Kunz, J.L., Little, E.E., Mebane, C.A., and Puglis, H.J., 2014, Acute and chronic sensitivity of white sturgeon (<i>Acipenser transmontanus</i>) and rainbow trout (<i>Oncorhynchus mykiss</i>) to cadmium, copper, lead, or zinc in laboratory water-only exposures: U.S. Geological Survey Scientific Investigations Report 2013-5204, Report: viii, 76 p.; Downloads Directory, https://doi.org/10.3133/sir20135204.","productDescription":"Report: viii, 76 p.; Downloads Directory","numberOfPages":"88","onlineOnly":"Y","ipdsId":"IP-042908","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":284956,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5204/"},{"id":284957,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5204/pdf/sir2013-5204.pdf"},{"id":284958,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5204/downloads/"},{"id":284959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135204.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4b24e4b0b290850f02f6","contributors":{"authors":[{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Contributions by Wang, Ning","contributorId":42131,"corporation":false,"usgs":true,"family":"Contributions by Wang","given":"Ning","email":"","affiliations":[],"preferred":false,"id":485949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beahan, Erinn","contributorId":13893,"corporation":false,"usgs":true,"family":"Beahan","given":"Erinn","email":"","affiliations":[],"preferred":false,"id":485947,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485941,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485948,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hardesty, Doug K.","contributorId":79344,"corporation":false,"usgs":true,"family":"Hardesty","given":"Doug","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":485950,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485945,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485942,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485940,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":485946,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70099649,"text":"ofr20141024 - 2014 - The 1946 Unimak Tsunami Earthquake Area: revised tectonic structure in reprocessed seismic images and a suspect near field tsunami source","interactions":[],"lastModifiedDate":"2018-01-08T12:43:53","indexId":"ofr20141024","displayToPublicDate":"2014-03-26T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1024","title":"The 1946 Unimak Tsunami Earthquake Area: revised tectonic structure in reprocessed seismic images and a suspect near field tsunami source","docAbstract":"<p>In 1946 at Unimak Pass, Alaska, a tsunami destroyed the lighthouse at Scotch Cap, Unimak Island, took 159 lives on the Hawaiian Islands, damaged island coastal facilities across the south Pacific, and destroyed a hut in Antarctica. The tsunami magnitude of 9.3 is comparable to the magnitude 9.1 tsunami that devastated the Tohoku coast of Japan in 2011. Both causative earthquake epicenters occurred in shallow reaches of the subduction zone. Contractile tectonism along the Alaska margin presumably generated the far-field tsunami by producing a seafloor elevation change. However, the Scotch Cap lighthouse was destroyed by a near-field tsunami that was probably generated by a coeval large undersea landslide, yet bathymetric surveys showed no fresh large landslide scar. We investigated this problem by reprocessing five seismic lines, presented here as high-resolution graphic images, both uninterpreted and interpreted, and available for the reader to download. In addition, the processed seismic data for each line are available for download as seismic industry-standard SEG-Y files. One line, processed through prestack depth migration, crosses a 10 &times; 15 kilometer and 800-meter-high hill presumed previously to be basement, but that instead is composed of stratified rock superimposed on the slope sediment. This image and multibeam bathymetry illustrate a slide block that could have sourced the 1946 near-field tsunami because it is positioned within a distance determined by the time between earthquake shaking and the tsunami arrival at Scotch Cap and is consistent with the local extent of high runup of 42 meters along the adjacent Alaskan coast. The Unimak/Scotch Cap margin is structurally similar to the 2011 Tohoku tsunamigenic margin where a large landslide at the trench, coeval with the Tohoku earthquake, has been documented. Further study can improve our understanding of tsunami sources along Alaska&rsquo;s erosional margins.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141024","usgsCitation":"Miller, J.J., von Huene, R.E., and Ryan, H.F., 2014, The 1946 Unimak Tsunami Earthquake Area: revised tectonic structure in reprocessed seismic images and a suspect near field tsunami source: U.S. Geological Survey Open-File Report 2014-1024, Report: iii, 19 p.; Downloads Directory, https://doi.org/10.3133/ofr20141024.","productDescription":"Report: iii, 19 p.; Downloads Directory","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051311","costCenters":[],"links":[{"id":284924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141024.jpg"},{"id":284922,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1024/pdf/ofr2014-1024.pdf"},{"id":284923,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1024/downloads"},{"id":284914,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1024/"}],"country":"United States","state":"Alaska","otherGeospatial":"Unimak Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -166.36596679687497,\n              52.05924589011585\n            ],\n            [\n              -166.36596679687497,\n              55.084655921502\n            ],\n            [\n              -159.609375,\n              55.084655921502\n            ],\n            [\n              -159.609375,\n              52.05924589011585\n            ],\n            [\n              -166.36596679687497,\n              52.05924589011585\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517066e4b05569d805a3df","contributors":{"authors":[{"text":"Miller, John J. 0000-0002-9098-0967 jmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-9098-0967","contributorId":3785,"corporation":false,"usgs":true,"family":"Miller","given":"John","email":"jmiller@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":491999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"von Huene, Roland E. 0000-0003-1301-3866 rvonhuene@usgs.gov","orcid":"https://orcid.org/0000-0003-1301-3866","contributorId":191070,"corporation":false,"usgs":true,"family":"von Huene","given":"Roland","email":"rvonhuene@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":492000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ryan, Holly F. hryan@usgs.gov","contributorId":2375,"corporation":false,"usgs":true,"family":"Ryan","given":"Holly","email":"hryan@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":false,"id":491998,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70048916,"text":"sir20135131 - 2014 - Characterization of the Marcellus Shale based on computer-assisted correlation of wireline logs in Virginia and West Virginia","interactions":[],"lastModifiedDate":"2014-03-26T08:47:14","indexId":"sir20135131","displayToPublicDate":"2014-03-26T08:38:16","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5131","title":"Characterization of the Marcellus Shale based on computer-assisted correlation of wireline logs in Virginia and West Virginia","docAbstract":"The Middle Devonian Marcellus Shale in the Appalachian basin extends from central Ohio on the west to eastern New York on the east, and from north-central New York on the north to northern Tennessee on the south. Its thickness ranges from 0 feet (ft) where it pinches out to the west to as much as 700 ft in its eastern extent. Within the Broadtop synclinorium, the thickness of the Marcellus Shale ranges from 250 to 565 ft. Although stratigraphic complexities have been documented, a significant range in thickness most likely is because of tectonic thickening from folds and thrust faults. Outcrop studies in the Valley and Ridge and Appalachian Plateaus provinces illustrate the challenges of interpreting the relation of third-order faults, folds, and “disturbed” zones to the regional tectonic framework. Recent field work within the Valley and Ridge province determined that significant faulting and intraformational deformation are present within the Marcellus Shale at the outcrop scale. In an attempt to determine if this scale of deformation is detectable with conventional wireline logs, petrophysical properties (primarily mineralogy and porosity) were measured by interpretation of gamma-ray and bulk-density logs. The results of performing a statistical correlation of wireline logs from nine wells indicated that there are discontinuities within the Millboro Shale (undifferentiated Marcellus Shale and Mahantango Formation) where there are significant thickness differences between wells. Also, some intervals likely contain mineralogy that makes these zones more prone to layer-shortening cleavage duplexes. The Correlator program proved to be a useful tool in a region of contractional deformation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135131","usgsCitation":"Enomoto, C.B., Olea, R., and Coleman, J.L., 2014, Characterization of the Marcellus Shale based on computer-assisted correlation of wireline logs in Virginia and West Virginia: U.S. Geological Survey Scientific Investigations Report 2013-5131, Report: iv, 21 p.; 4 Plates: 41.69 x 24.64 inches or smaller, https://doi.org/10.3133/sir20135131.","productDescription":"Report: iv, 21 p.; 4 Plates: 41.69 x 24.64 inches or smaller","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-036156","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":284917,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5131/pdf/plates/sir2013-5131_plate1.pdf"},{"id":284915,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5131/"},{"id":284916,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5131/pdf/sir2013-5131.pdf"},{"id":284918,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5131/pdf/plates/sir2013-5131_plate2.pdf"},{"id":284919,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5131/pdf/plates/sir2013-5131_plate3.pdf"},{"id":284920,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5131/pdf/plates/sir2013-5131_plate4.pdf"},{"id":284921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135131.jpg"}],"scale":"2000000","projection":"Albers Equal-Area Conic projection","datum":"North American Datum of 1983","country":"United States","state":"Virginia;West Virginia","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -84,8.333333333333334E-4 ], [ -84,0.0011111111111111111 ], [ -77,0.0011111111111111111 ], [ -77,8.333333333333334E-4 ], [ -84,8.333333333333334E-4 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd50bfe4b0b290850f3854","contributors":{"authors":[{"text":"Enomoto, Catherine B. 0000-0002-4119-1953 cenomoto@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":2126,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine","email":"cenomoto@usgs.gov","middleInitial":"B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":485799,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, James L. Jr. 0000-0002-5232-5849 jlcoleman@usgs.gov","orcid":"https://orcid.org/0000-0002-5232-5849","contributorId":549,"corporation":false,"usgs":true,"family":"Coleman","given":"James","suffix":"Jr.","email":"jlcoleman@usgs.gov","middleInitial":"L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":485797,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099631,"text":"fs20143022 - 2014 - The 3D Elevation Program: summary for Montana","interactions":[],"lastModifiedDate":"2016-08-17T15:46:29","indexId":"fs20143022","displayToPublicDate":"2014-03-25T14:50:00","publicationYear":"2014","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":"2014-3022","title":"The 3D Elevation Program: summary for Montana","docAbstract":"<p>Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, national security, recreation, and many others. For the State of Montana, elevation data are critical for flood risk management, infrastructure and construction management, agriculture and precision farming, geologic resource assessment and hazard mitigation, natural resources conservation, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.</p>\n<p>The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States and quality level 5 ifsar data for Alaska with a 6- to 10-year acquisition cycle provided the highest benefit/cost ratios. The new 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A&ndash;16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other 3D representations of the Nation&rsquo;s natural and constructed features.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143022","usgsCitation":"Carswell, W., 2014, The 3D Elevation Program: summary for Montana: U.S. Geological Survey Fact Sheet 2014-3022, 2 p., https://doi.org/10.3133/fs20143022.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-052808","costCenters":[{"id":423,"text":"National Geospatial 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William J. Jr. carswell@usgs.gov","contributorId":1787,"corporation":false,"usgs":true,"family":"Carswell","given":"William J.","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":491994,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70093581,"text":"ofr20141023 - 2014 - Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada","interactions":[],"lastModifiedDate":"2018-08-28T15:23:34","indexId":"ofr20141023","displayToPublicDate":"2014-03-25T14:48:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1023","title":"Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada","docAbstract":"As part of a site investigation for the disposal of radioactive waste, numerous boreholes were drilled into a sequence of Miocene pyroclastic flows and related deposits at Yucca Mountain, Nevada. This report contains displays of data from 25 boreholes drilled during 1979–1984, relatively early in the site investigation program. Geophysical logs and hydrological tests were conducted in the boreholes; core and cuttings analyses yielded data on mineralogy, fractures, and physical properties; and geologic descriptions provided lithology boundaries and the degree of welding of the rock units. Porosity and water content were computed from the geophysical logs, and porosity results were combined with mineralogy from x-ray diffraction to provide whole-rock volume fractions. These data were composited on plates and used by project personnel during the 1990s. Improvements in scanning and computer technology now make it possible to publish these displays.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141023","usgsCitation":"Nelson, P.H., and Kibler, J.E., 2014, Petrophysical properties, mineralogy, fractures, and flow tests in 25 deep boreholes at Yucca Mountain, Nevada: U.S. Geological Survey Open-File Report 2014-1023, Report: vi, 19 p.; Downloads Directory, https://doi.org/10.3133/ofr20141023.","productDescription":"Report: vi, 19 p.; Downloads Directory","numberOfPages":"25","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051310","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":284900,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1023/"},{"id":284903,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1023/downloads/"},{"id":284902,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1023/pdf/of2014-1023.pdf"},{"id":284905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141023.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.500887,36.74929 ], [ -116.500887,36.919932 ], [ -116.374544,36.919932 ], [ -116.374544,36.74929 ], [ -116.500887,36.74929 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6b1ae4b0b29085103ad2","contributors":{"authors":[{"text":"Nelson, Philip H. pnelson@usgs.gov","contributorId":862,"corporation":false,"usgs":true,"family":"Nelson","given":"Philip","email":"pnelson@usgs.gov","middleInitial":"H.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":490067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kibler, Joyce E.","contributorId":56293,"corporation":false,"usgs":true,"family":"Kibler","given":"Joyce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490068,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70093765,"text":"tm11B5 - 2014 - Digital orthoimagery base specification V1.0","interactions":[],"lastModifiedDate":"2014-03-25T13:27:52","indexId":"tm11B5","displayToPublicDate":"2014-03-25T13:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"11-B5","title":"Digital orthoimagery base specification V1.0","docAbstract":"<p>The resolution requirement for orthoimagery in support of the The National Map of the U.S. Geological Survey (USGS) is 1 meter. However, as the Office of Management and Budget A-16 designated Federal agency responsible for base orthoimagery, the USGS National Geospatial Program (NGP) has developed this base specification to include higher resolution orthoimagery. Many Federal, State, and local programs use high-resolution orthoimagery for various purposes including critical infrastructure management, vector data updates, land-use analysis, natural resource inventory, and extraction of data. The complex nature of large-area orthoimagery datasets, combined with the broad interest in orthoimagery, which is of consistent quality and spatial accuracy, requires high-resolution orthoimagery to meet or exceed the format and content outlined in this specification.</p>\n\n<br>\n\n<p>The USGS intends to use this specification primarily to create consistency across all NGP funded and managed orthoimagery collections, in particular, collections in support of the National Digital Orthoimagery Program (NDOP). In the absence of other comprehensive specifications or standards, the USGS intends that this specification will, to the highest degree practical, be adopted by other USGS programs and mission areas, and by other Federal agencies.</p>\n\n<br>\n\n<p>This base specification, defining minimum parameters for orthoimagery data collection. Local conditions in any given project area, specialized applications for the data, or the preferences of cooperators, may mandate more stringent requirements. The USGS fully supports the acquisition of more detailed, accurate, or value-added data that exceed the base specification outlined herein. A partial list of common “buy-up” options is provided in appendix 1 for those areas and projects that require more stringent or expanded specifications.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section B: U.S. Geological Survey Standards in Book 11 <i>Collection and Delineation of Spatial Data</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm11B5","collaboration":"National Geospatial Program.  This report is Chapter 5 of Section B: U.S. Geological Survey Standards in Book 11 <i>Collection and Delineation of Spatial Data</i>","usgsCitation":"Rufe, P.P., 2014, Digital orthoimagery base specification V1.0: U.S. Geological Survey Techniques and Methods 11-B5, Report: v, 13 p.; Downloads Directory, https://doi.org/10.3133/tm11B5.","productDescription":"Report: v, 13 p.; Downloads Directory","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-041313","costCenters":[{"id":425,"text":"National Geospatial Technical Operations Center","active":false,"usgs":true}],"links":[{"id":284883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm11b5.jpg"},{"id":284881,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/11/b5/pdf/tm11-B5.pdf"},{"id":284882,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/11/b5/downloads/"},{"id":284880,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/11/b5/"}],"country":"United States","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd550fe4b0b290850f61ad","contributors":{"authors":[{"text":"Rufe, Philip P. prufe@usgs.gov","contributorId":4048,"corporation":false,"usgs":true,"family":"Rufe","given":"Philip","email":"prufe@usgs.gov","middleInitial":"P.","affiliations":[],"preferred":true,"id":490206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048965,"text":"sir20135138 - 2014 - Lower Cody Shale (Niobrara equivalent) in the Bighorn Basin, Wyoming and Montana: thickness, distribution, and source rock potential","interactions":[],"lastModifiedDate":"2018-08-28T15:23:55","indexId":"sir20135138","displayToPublicDate":"2014-03-25T12:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5138","title":"Lower Cody Shale (Niobrara equivalent) in the Bighorn Basin, Wyoming and Montana: thickness, distribution, and source rock potential","docAbstract":"The lower shaly member of the Cody Shale in the Bighorn Basin, Wyoming and Montana is Coniacian to Santonian in age and is equivalent to the upper part of the Carlile Shale and basal part of the Niobrara Formation in the Powder River Basin to the east. The lower Cody ranges in thickness from 700 to 1,200 feet and underlies much of the central part of the basin. It is composed of gray to black shale, calcareous shale, bentonite, and minor amounts of siltstone and sandstone. Sixty-six samples, collected from well cuttings, from the lower Cody Shale were analyzed using Rock-Eval and total organic carbon analysis to determine the source rock potential. Total organic carbon content averages 2.28 weight percent for the Carlile equivalent interval and reaches a maximum of nearly 5 weight percent. The Niobrara equivalent interval averages about 1.5 weight percent and reaches a maximum of over 3 weight percent, indicating that both intervals are good to excellent source rocks. S<sub>2</sub> values from pyrolysis analysis also indicate that both intervals have a good to excellent source rock potential. Plots of hydrogen index versus oxygen index, hydrogen index versus Tmax, and S<sub>2</sub>/S<sub>3</sub> ratios indicate that organic matter contains both Type II and Type III kerogen capable of generating oil and gas. Maps showing the distribution of kerogen types and organic richness for the lower shaly member of the Cody Shale show that it is more organic-rich and more oil-prone in the eastern and southeastern parts of the basin. Thermal maturity based on vitrinite reflectance (R<sub>o</sub>) ranges from 0.60–0.80 percent R<sub>o</sub> around the margins of the basin, increasing to greater than 2.0 percent R<sub>o</sub> in the deepest part of the basin, indicates that the lower Cody is mature to overmature with respect to hydrocarbon generation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135138","usgsCitation":"Finn, T.M., 2014, Lower Cody Shale (Niobrara equivalent) in the Bighorn Basin, Wyoming and Montana: thickness, distribution, and source rock potential: U.S. Geological Survey Scientific Investigations Report 2013-5138, iii, 32 p., https://doi.org/10.3133/sir20135138.","productDescription":"iii, 32 p.","numberOfPages":"39","onlineOnly":"Y","ipdsId":"IP-040362","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":284879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135138.jpg"},{"id":284877,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5138/"},{"id":284878,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5138/pdf/sir13-5138.pdf"}],"country":"United States","state":"Montana;Wyoming","otherGeospatial":"Bighorn Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110,43 ], [ -110,45.5 ], [ -106.5,45.5 ], [ -106.5,43 ], [ -110,43 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd651fe4b0b290850ffe2a","contributors":{"authors":[{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485890,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70099605,"text":"70099605 - 2014 - Land cover and topography affect the land transformation caused by wind facilities","interactions":[],"lastModifiedDate":"2014-03-25T11:25:28","indexId":"70099605","displayToPublicDate":"2014-03-25T11:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Land cover and topography affect the land transformation caused by wind facilities","docAbstract":"Land transformation (ha of surface disturbance/MW) associated with wind facilities shows wide variation in its reported values. In addition, no studies have attempted to explain the variation across facilities. We digitized land transformation at 39 wind facilities using high resolution aerial imagery. We then modeled the effects of turbine size, configuration, land cover, and topography on the levels of land transformation at three spatial scales. The scales included strings (turbines with intervening roads only), sites (strings with roads connecting them, buried cables and other infrastructure), and entire facilities (sites and the roads or transmission lines connecting them to existing infrastructure). An information theoretic modeling approach indicated land cover and topography were well-supported variables affecting land transformation, but not turbine size or configuration. Tilled landscapes, despite larger distances between turbines, had lower average land transformation, while facilities in forested landscapes generally had the highest land transformation. At site and string scales, flat topographies had the lowest land transformation, while facilities on mesas had the largest. The results indicate the landscape in which the facilities are placed affects the levels of land transformation associated with wind energy. This creates opportunities for optimizing wind energy production while minimizing land cover change. In addition, the results indicate forecasting the impacts of wind energy on land transformation should include the geographic variables affecting land transformation reported here.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0088914","usgsCitation":"Diffendorfer, J.E., and Compton, R.W., 2014, Land cover and topography affect the land transformation caused by wind facilities: PLoS ONE, v. 9, no. 2, 7 p., https://doi.org/10.1371/journal.pone.0088914.","productDescription":"7 p.","numberOfPages":"7","ipdsId":"IP-049019","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473092,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0088914","text":"Publisher Index Page"},{"id":284859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284841,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0088914"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-18","publicationStatus":"PW","scienceBaseUri":"53517051e4b05569d805a2fb","contributors":{"authors":[{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":491978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Compton, Roger W. rwcompton@usgs.gov","contributorId":2780,"corporation":false,"usgs":true,"family":"Compton","given":"Roger","email":"rwcompton@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":491977,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099278,"text":"70099278 - 2014 - 1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange","interactions":[],"lastModifiedDate":"2018-09-14T16:04:54","indexId":"70099278","displayToPublicDate":"2014-03-25T10:06:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange","docAbstract":"A new computer program, 1DTempPro, is presented for the analysis of vertical one-dimensional (1D) temperature profiles under saturated flow conditions. 1DTempPro is a graphical user interface to the U.S. Geological Survey code Variably Saturated 2-Dimensional Heat Transport (VS2DH), which numerically solves the flow and heat-transport equations. Pre- and postprocessor features allow the user to calibrate VS2DH models to estimate vertical groundwater/surface-water exchange and also hydraulic conductivity for cases where hydraulic head is known.","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.12051","usgsCitation":"Voytek, E.B., Drenkelfuss, A., Day-Lewis, F.D., Healy, R., Lane, J.W., and Werkema, D.D., 2014, 1DTempPro: analyzing temperature profiles for groundwater/surface-water exchange: Ground Water, v. 52, no. 2, p. 298-302, https://doi.org/10.1111/gwat.12051.","productDescription":"5 p.","startPage":"298","endPage":"302","numberOfPages":"5","ipdsId":"IP-042740","costCenters":[{"id":496,"text":"Office of Groundwater-Branch of Geophysics","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":284767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284376,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12051"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-02","publicationStatus":"PW","scienceBaseUri":"53516eb1e4b05569d8059d05","contributors":{"authors":[{"text":"Voytek, Emily B. 0000-0003-0981-453X ebvoytek@usgs.gov","orcid":"https://orcid.org/0000-0003-0981-453X","contributorId":3575,"corporation":false,"usgs":true,"family":"Voytek","given":"Emily","email":"ebvoytek@usgs.gov","middleInitial":"B.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":491941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Drenkelfuss, Anja","contributorId":9954,"corporation":false,"usgs":true,"family":"Drenkelfuss","given":"Anja","email":"","affiliations":[],"preferred":false,"id":491942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":491939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Healy, Richard","contributorId":60947,"corporation":false,"usgs":true,"family":"Healy","given":"Richard","affiliations":[],"preferred":false,"id":491944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lane, John W. Jr. jwlane@usgs.gov","contributorId":1738,"corporation":false,"usgs":true,"family":"Lane","given":"John","suffix":"Jr.","email":"jwlane@usgs.gov","middleInitial":"W.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":false,"id":491940,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":491943,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70099347,"text":"70099347 - 2014 - Quantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin","interactions":[],"lastModifiedDate":"2014-03-25T09:13:06","indexId":"70099347","displayToPublicDate":"2014-03-24T16:20:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin","docAbstract":"A recurrent challenge in the conservation of wide-ranging, imperiled species is understanding which habitats to protect and whether we are capable of restoring degraded landscapes. For Greater Sage-grouse (Centrocercus urophasianus), a species of conservation concern in the western United States, we approached this problem by developing multi-scale empirical models of occupancy in 211 randomly located plots within a 40 million ha portion of the species' range. We then used these models to predict sage-grouse habitat quality at 826 plots associated with 101 post-wildfire seeding projects implemented from 1990 to 2003. We also compared conditions at restoration sites to published habitat guidelines. Sage-grouse occupancy was positively related to plot- and landscape-level dwarf sagebrush (Artemisia arbuscula, A. nova, A. tripartita) and big sagebrush steppe prevalence, and negatively associated with non-native plants and human development. The predicted probability of sage-grouse occupancy at treated plots was low on average (0.09) and not substantially different from burned areas that had not been treated. Restoration sites with quality habitat tended to occur at higher elevation locations with low annual temperatures, high spring precipitation, and high plant diversity. Of 313 plots seeded after fire, none met all sagebrush guidelines for breeding habitats, but approximately 50% met understory guidelines, particularly for perennial grasses. This pattern was similar for summer habitat. Less than 2% of treated plots met winter habitat guidelines. Restoration actions did not increase the probability of burned areas meeting most guideline criteria. The probability of meeting guidelines was influenced by a latitudinal gradient, climate, and topography. Our results suggest that sage-grouse are relatively unlikely to use many burned areas within 20 years of fire, regardless of treatment. Understory habitat conditions are more likely to be adequate than overstory conditions, but in most climates, establishing forbs and reducing cheatgrass dominance is unlikely. Reestablishing sagebrush cover will require more than 20 years using past restoration methods. Given current fire frequencies and restoration capabilities, protection of landscapes containing a mix of dwarf sagebrush and big sagebrush steppe, minimal human development, and low non-native plant cover may provide the best opportunity for conservation of sage-grouse habitats.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecosphere","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","doi":"10.1890/ES13-00278.1","usgsCitation":"Arkle, R., Pilliod, D., Hanser, S.E., Brooks, M.L., Chambers, J., Grace, J.B., Knutson, K., Pyke, D.A., and Welty, J., 2014, Quantifying restoration effectiveness using multi-scale habitat models: implications for sage-grouse in the Great Basin: Ecosphere, v. 5, no. 3, 32 p., https://doi.org/10.1890/ES13-00278.1.","productDescription":"32 p.","ipdsId":"IP-052298","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":473093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1890/es13-00278.1","text":"Publisher Index Page"},{"id":284420,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284418,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/ES13-00278.1"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.8169,39.7241 ], [ -119.8169,44.4652 ], [ -112.7417,44.4652 ], [ -112.7417,39.7241 ], [ -119.8169,39.7241 ] ] ] } } ] }","volume":"5","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-24","publicationStatus":"PW","scienceBaseUri":"5351705de4b05569d805a381","contributors":{"authors":[{"text":"Arkle, Robert S.","contributorId":55679,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert S.","affiliations":[],"preferred":false,"id":491962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S.","contributorId":101760,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[],"preferred":false,"id":491966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanser, Steven E.","contributorId":99273,"corporation":false,"usgs":true,"family":"Hanser","given":"Steven","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491965,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brooks, Matthew L. 0000-0002-3518-6787 mlbrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-3518-6787","contributorId":393,"corporation":false,"usgs":true,"family":"Brooks","given":"Matthew","email":"mlbrooks@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":491958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":491963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":491959,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knutson, Kevin C. kevin_knutson@usgs.gov","contributorId":3646,"corporation":false,"usgs":true,"family":"Knutson","given":"Kevin C.","email":"kevin_knutson@usgs.gov","affiliations":[],"preferred":true,"id":491961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":491960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Welty, Justin L.","contributorId":80558,"corporation":false,"usgs":true,"family":"Welty","given":"Justin L.","affiliations":[],"preferred":false,"id":491964,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70099203,"text":"70099203 - 2014 - Advances in a distributed approach for ocean model data interoperability","interactions":[],"lastModifiedDate":"2014-03-25T08:24:40","indexId":"70099203","displayToPublicDate":"2014-03-24T16:14:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Advances in a distributed approach for ocean model data interoperability","docAbstract":"An infrastructure for earth science data is emerging across the globe based on common data models and web services.  As we evolve from custom file formats and web sites to standards-based web services and tools, data is becoming easier to distribute, find and retrieve, leaving more time for science.  We describe recent advances that make it easier for ocean model providers to share their data, and for users to search, access, analyze and visualize ocean data using MATLAB® and Python®.  These include a technique for modelers to create aggregated, Climate and Forecast (CF) metadata convention datasets from collections of non-standard Network Common Data Form (NetCDF) output files, the capability to remotely access data from CF-1.6-compliant NetCDF files using the Open Geospatial Consortium (OGC) Sensor Observation Service (SOS), a metadata standard for unstructured grid model output (UGRID), and tools that utilize both CF and UGRID standards to allow interoperable data search, browse and access.  We use examples from the U.S. Integrated Ocean Observing System (IOOS®) Coastal and Ocean Modeling Testbed, a project in which modelers using both structured and unstructured grid model output needed to share their results, to compare their results with other models, and to compare models with observed data.  The same techniques used here for ocean modeling output can be applied to atmospheric and climate model output, remote sensing data, digital terrain and bathymetric data.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Marine Science and Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Multidisciplinary Digital Publishing Institute","doi":"10.3390/jmse2010194","usgsCitation":"Signell, R.P., and Snowden, D.P., 2014, Advances in a distributed approach for ocean model data interoperability: Journal of Marine Science and Engineering, v. 2, no. 1, p. 194-208, https://doi.org/10.3390/jmse2010194.","productDescription":"15 p.","startPage":"194","endPage":"208","ipdsId":"IP-054706","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":473095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse2010194","text":"Publisher Index Page"},{"id":284419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284348,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/jmse2010194"}],"volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-03-19","publicationStatus":"PW","scienceBaseUri":"53516f2de4b05569d805a02d","contributors":{"authors":[{"text":"Signell, Richard P. rsignell@usgs.gov","contributorId":1435,"corporation":false,"usgs":true,"family":"Signell","given":"Richard","email":"rsignell@usgs.gov","middleInitial":"P.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":491858,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snowden, Derrick P.","contributorId":54112,"corporation":false,"usgs":true,"family":"Snowden","given":"Derrick","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491859,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099277,"text":"70099277 - 2014 - Hierarchical spatial capture-recapture models: Modeling population density from stratified populations","interactions":[],"lastModifiedDate":"2016-11-08T08:50:48","indexId":"70099277","displayToPublicDate":"2014-03-24T14:23:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Hierarchical spatial capture-recapture models: Modeling population density from stratified populations","docAbstract":"<ol id=\"mee312135-list-0001\" class=\"o-list--numbered\"><li>Capture–recapture studies are often conducted on populations that are stratified by space, time or other factors. In this paper, we develop a Bayesian spatial capture–recapture (SCR) modelling framework for stratified populations – when sampling occurs within multiple distinct spatial and temporal strata.</li><li>We describe a hierarchical model that integrates distinct models for both the spatial encounter history data from capture–recapture sampling, and also for modelling variation in density among strata. We use an implementation of data augmentation to parameterize the model in terms of a latent categorical stratum or group membership variable, which provides a convenient implementation in popular BUGS software packages.</li><li>We provide an example application to an experimental study involving small-mammal sampling on multiple trapping grids over multiple years, where the main interest is in modelling a treatment effect on population density among the trapping grids.</li><li>Many capture–recapture studies involve some aspect of spatial or temporal replication that requires some attention to modelling variation among groups or strata. We propose a hierarchical model that allows explicit modelling of group or strata effects. Because the model is formulated for individual encounter histories and is easily implemented in the BUGS language and other free software, it also provides a general framework for modelling individual effects, such as are present in SCR models.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12135","usgsCitation":"Royle, J., and Converse, S., 2014, Hierarchical spatial capture-recapture models: Modeling population density from stratified populations: Methods in Ecology and Evolution, v. 5, no. 1, p. 37-43, https://doi.org/10.1111/2041-210X.12135.","productDescription":"7 p.","startPage":"37","endPage":"43","ipdsId":"IP-052063","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":473096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12135","text":"Publisher Index Page"},{"id":284411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284408,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/2041-210X.12135"}],"volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-12-05","publicationStatus":"PW","scienceBaseUri":"53517046e4b05569d805a24f","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J.","contributorId":85716,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah J.","affiliations":[],"preferred":false,"id":491938,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099977,"text":"70099977 - 2014 - Simulation of the effects of seasonally varying pumping on intraborehole flow and the vulnerability of public-supply wells to contamination","interactions":[],"lastModifiedDate":"2014-09-23T13:05:27","indexId":"70099977","displayToPublicDate":"2014-03-24T14:07:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulation of the effects of seasonally varying pumping on intraborehole flow and the vulnerability of public-supply wells to contamination","docAbstract":"Public-supply wells with long screens in alluvial aquifers can produce waters of differing quality from different depths. Seasonal changes in quality are linked to seasonal changes in pumping rates that influence the distribution of flow into the well screens under pumping conditions and the magnitude and direction of intraborehole flow within the wells under ambient conditions. Groundwater flow and transport simulations with MODFLOW and MT3DMS were developed to quantify the effects of changes in average seasonal pumping rates on intraborehole flow and water quality at two long-screened, public-supply wells, in Albuquerque, New Mexico and Modesto, California, where widespread pumping has altered groundwater flow patterns. Simulation results indicate that both wells produce water requiring additional treatment to maintain potable quality in winter when groundwater withdrawals are reduced because less water is derived from parts of the aquifer that contain water requiring less treatment. Simulation results indicate that the water quality at both wells could be improved by increasing average winter-pumping rates to induce more lateral flow from parts of the aquifer that contain better quality water. Arsenic-bearing water produced by the Albuquerque well could be reduced from 55% to 45% by doubling average winter-pumping rate, while nitrate- and uranium-bearing water produced by the Modesto well could be reduced from 95% to 65% by nearly tripling the average winter-pumping rate. Higher average winter-pumping rates would also reduce the volume of intraborehole flow within both wells and prevent the exchange of poor quality water between shallow and deep parts of both aquifers.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"State Water Control Board","publisherLocation":"Richmond, VA","doi":"10.1111/gwat.12150","usgsCitation":"Yager, R.M., and Heywood, C.E., 2014, Simulation of the effects of seasonally varying pumping on intraborehole flow and the vulnerability of public-supply wells to contamination: Ground Water, v. 52, no. S1, p. 40-52, https://doi.org/10.1111/gwat.12150.","productDescription":"13 p.","startPage":"40","endPage":"52","numberOfPages":"13","ipdsId":"IP-042995","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":473097,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/gwat.12150","text":"External Repository"},{"id":285105,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285102,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12150"},{"id":285103,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/gwat.12150/abstract"}],"country":"United States","state":"California;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.074,34.946 ], [ -121.074,37.714 ], [ -106.471,37.714 ], [ -106.471,34.946 ], [ -121.074,34.946 ] ] ] } } ] }","volume":"52","issue":"S1","noUsgsAuthors":false,"publicationDate":"2014-01-10","publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3b3","contributors":{"authors":[{"text":"Yager, Richard M. 0000-0001-7725-1148 ryager@usgs.gov","orcid":"https://orcid.org/0000-0001-7725-1148","contributorId":950,"corporation":false,"usgs":true,"family":"Yager","given":"Richard","email":"ryager@usgs.gov","middleInitial":"M.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70099228,"text":"70099228 - 2014 - Mercury and methylmercury dynamics in the hyporheic zone of an Oregon stream","interactions":[],"lastModifiedDate":"2014-03-24T14:20:07","indexId":"70099228","displayToPublicDate":"2014-03-24T13:54:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Mercury and methylmercury dynamics in the hyporheic zone of an Oregon stream","docAbstract":"The role of the hyporheic zone in mercury (Hg) cycling has received limited attention despite the biogeochemically active nature of this zone and, thus, its potential to influence Hg behavior in streams. An assessment of Hg geochemistry in the hyporheic zone of a coarse-grained island in the Coast Fork Willamette River in Oregon, USA, illustrates the spatially dynamic nature of this region of the stream channel for Hg mobilization and attenuation. Hyporheic flow through the island was evident from the water-table geometry and supported by hyporheic-zone chemistry distinct from that of the bounding groundwater system. Redox-indicator species changed abruptly along a transect through the hyporheic zone, indicating a biogeochemically reactive stream/hyporheic-zone continuum. Dissolved organic carbon (DOC), total Hg, and methylmercury (MeHg) concentrations increased in the upgradient portion of the hyporheic zone and decreased in the downgradient region. Total Hg (collected in 2002 and 2003) and MeHg (collected in 2003) were correlated with DOC in hyporheic-zone samples: r<sup>2</sup>=0.63 (total Hg-DOC, 2002), 0.73 (total Hg-DOC, 2003), and 0.94 (MeHg-DOC, 2003). Weaker Hg/DOC association in late summer 2002 than in early summer 2003 may reflect seasonal differences in DOC reactivity. Observed correlations between DOC and both total Hg and MeHg reflect the importance of DOC for Hg mobilization, transport, and fate in this hyporheic zone. Correlations with DOC provide a framework for conceptualizing and quantifying Hg and MeHg dynamics in this region of the stream channel, and provide a refined conceptual model of the role hyporheic zones may play in aquatic ecosystems.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water, Air, and Soil Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1694-y","usgsCitation":"Hinkle, S.R., Bencala, K.E., Wentz, D.A., and Krabbenhoft, D.P., 2014, Mercury and methylmercury dynamics in the hyporheic zone of an Oregon stream: Water, Air, & Soil Pollution, v. 225, no. 1, 17 p., https://doi.org/10.1007/s11270-013-1694-y.","productDescription":"17 p.","ipdsId":"IP-034165","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":284407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284350,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-013-1694-y"},{"id":284351,"type":{"id":15,"text":"Index Page"},"url":"https://link.springer.com/article/10.1007/s11270-013-1694-y"}],"volume":"225","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-29","publicationStatus":"PW","scienceBaseUri":"53517054e4b05569d805a321","contributors":{"authors":[{"text":"Hinkle, Stephen R. srhinkle@usgs.gov","contributorId":1171,"corporation":false,"usgs":true,"family":"Hinkle","given":"Stephen","email":"srhinkle@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bencala, Kenneth E. kbencala@usgs.gov","contributorId":1541,"corporation":false,"usgs":true,"family":"Bencala","given":"Kenneth","email":"kbencala@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":491871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wentz, Dennis A. dawentz@usgs.gov","contributorId":1838,"corporation":false,"usgs":true,"family":"Wentz","given":"Dennis","email":"dawentz@usgs.gov","middleInitial":"A.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":491873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":491872,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70055721,"text":"sir20135215 - 2014 - Time-integrated passive sampling as a complement to conventional point-in-time sampling for investigating drinking-water quality, McKenzie River Basin, Oregon, 2007 and 2010-11","interactions":[],"lastModifiedDate":"2014-03-25T08:27:58","indexId":"sir20135215","displayToPublicDate":"2014-03-24T13:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5215","title":"Time-integrated passive sampling as a complement to conventional point-in-time sampling for investigating drinking-water quality, McKenzie River Basin, Oregon, 2007 and 2010-11","docAbstract":"<p>The Eugene Water & Electric Board (EWEB) supplies drinking water to approximately 200,000 people in Eugene, Oregon. The sole source of this water is the McKenzie River, which has consistently excellent water quality relative to established drinking-water standards. To ensure that this quality is maintained as land use in the source basin changes and water demands increase, EWEB has developed a proactive management strategy that includes a combination of conventional point-in-time discrete water sampling and time‑integrated passive sampling with a combination of chemical analyses and bioassays to explore water quality and identify where vulnerabilities may lie.</p>\n<br/>\n<p>In this report, we present the results from six passive‑sampling deployments at six sites in the basin, including the intake and outflow from the EWEB drinking‑water treatment plant (DWTP). This is the first known use of passive samplers to investigate both the source and finished water of a municipal DWTP. Results indicate that low concentrations of several polycyclic aromatic hydrocarbons and organohalogen compounds are consistently present in source waters, and that many of these compounds are also present in finished drinking water. The nature and patterns of compounds detected suggest that land-surface runoff and atmospheric deposition act as ongoing sources of polycyclic aromatic hydrocarbons, some currently used pesticides, and several legacy organochlorine pesticides. Comparison of results from point-in-time and time-integrated sampling indicate that these two methods are complementary and, when used together, provide a clearer understanding of contaminant sources than either method alone.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135215","collaboration":"Prepared in cooperation with the Eugene Water & Electric Board","usgsCitation":"McCarthy, K.A., and Alvarez, D., 2014, Time-integrated passive sampling as a complement to conventional point-in-time sampling for investigating drinking-water quality, McKenzie River Basin, Oregon, 2007 and 2010-11: U.S. Geological Survey Scientific Investigations Report 2013-5215, iv, 14 p., https://doi.org/10.3133/sir20135215.","productDescription":"iv, 14 p.","onlineOnly":"Y","ipdsId":"IP-045054","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":284406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135215.PNG"},{"id":284405,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5215/pdf/sir2013-5215.pdf"},{"id":284398,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5215/"}],"projection":"Oregon Lambert","datum":"NAD 1983","country":"United States","state":"Oregon","otherGeospatial":"Mckenzie River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.25,44.0 ], [ -123.25,44.5 ], [ -121.75,44.5 ], [ -121.75,44.0 ], [ -123.25,44.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7912e4b0b2908510c945","contributors":{"authors":[{"text":"McCarthy, Kathleen A. mccarthy@usgs.gov","contributorId":1159,"corporation":false,"usgs":true,"family":"McCarthy","given":"Kathleen","email":"mccarthy@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":486236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, David A.","contributorId":72755,"corporation":false,"usgs":true,"family":"Alvarez","given":"David A.","affiliations":[],"preferred":false,"id":486237,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70095375,"text":"ofr20141043 - 2014 - Magnetic and gravity studies of Mono Lake, east-central, California","interactions":[],"lastModifiedDate":"2023-05-26T15:31:21.719666","indexId":"ofr20141043","displayToPublicDate":"2014-03-24T12:18:44","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1043","title":"Magnetic and gravity studies of Mono Lake, east-central, California","docAbstract":"<p>From August 26 to September 5, 2011, the U.S. Geological Survey (USGS) collected more than 600 line-kilometers of shipborne magnetic data on Mono Lake, 20 line-kilometers of ground magnetic data on Paoha Island, 50 gravity stations on Paoha and Negit Islands, and 28 rock samples on Paoha and Negit Islands, in east-central California. Magnetic and gravity investigations were undertaken in Mono Lake to study regional crustal structures and to aid in understanding the geologic framework, in particular regarding potential geothermal resources and volcanic hazards throughout Mono Basin. Furthermore, shipborne magnetic data illuminate local structures in the upper crust beneath Mono Lake where geologic exposure is absent.</p>\n\n<br>\n\n<p>Magnetic and gravity methods, which sense contrasting physical properties of the subsurface, are ideal for studying Mono Lake. Exposed rock units surrounding Mono Lake consist mainly of Quaternary alluvium, lacustrine sediment, aeolian deposits, basalt, and Paleozoic granitic and metasedimentary rocks (Bailey, 1989). At Black Point, on the northwest shore of Mono Lake, there is a mafic cinder cone that was produced by a subaqueous eruption around 13.3 ka. Within Mono Lake there are several small dacite cinder cones and flows, forming Negit Island and part of Paoha Island, which also host deposits of Quaternary lacustrine sediments. The typical density and magnetic properties of young volcanic rocks contrast with those of the lacustrine sediment, enabling us to map their subsurface extent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141043","usgsCitation":"Athens, N.D., Ponce, D.A., Jayko, A.S., Miller, M., McEvoy, B., Marcaida, M., Mangan, M.T., Wilkinson, S.K., McClain, J.S., Chuchel, B.A., and Denton, K.M., 2014, Magnetic and gravity studies of Mono Lake, east-central, California: U.S. Geological Survey Open-File Report 2014-1043, Report: iv, 14 p.; Metadata; Tables 2, 3, 4, https://doi.org/10.3133/ofr20141043.","productDescription":"Report: iv, 14 p.; Metadata; Tables 2, 3, 4","numberOfPages":"20","onlineOnly":"Y","ipdsId":"IP-046411","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards 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Center","active":true,"usgs":true}],"preferred":true,"id":491174,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":491169,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jayko, Angela S. 0000-0002-7378-0330 ajayko@usgs.gov","orcid":"https://orcid.org/0000-0002-7378-0330","contributorId":2531,"corporation":false,"usgs":true,"family":"Jayko","given":"Angela","email":"ajayko@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Matt","contributorId":55742,"corporation":false,"usgs":true,"family":"Miller","given":"Matt","affiliations":[],"preferred":false,"id":491178,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McEvoy, Bobby","contributorId":51650,"corporation":false,"usgs":true,"family":"McEvoy","given":"Bobby","email":"","affiliations":[],"preferred":false,"id":491177,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marcaida, Mae mmarcaida@usgs.gov","contributorId":5345,"corporation":false,"usgs":true,"family":"Marcaida","given":"Mae","email":"mmarcaida@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":491176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mangan, Margaret T. 0000-0002-5273-8053 mmangan@usgs.gov","orcid":"https://orcid.org/0000-0002-5273-8053","contributorId":3343,"corporation":false,"usgs":true,"family":"Mangan","given":"Margaret","email":"mmangan@usgs.gov","middleInitial":"T.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":491172,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilkinson, Stuart K. swilk@usgs.gov","contributorId":3401,"corporation":false,"usgs":true,"family":"Wilkinson","given":"Stuart","email":"swilk@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":491173,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClain, James S.","contributorId":103578,"corporation":false,"usgs":true,"family":"McClain","given":"James","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":491179,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Chuchel, Bruce A. chuchel@usgs.gov","contributorId":2415,"corporation":false,"usgs":true,"family":"Chuchel","given":"Bruce","email":"chuchel@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":491170,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Denton, Kevin M. 0000-0001-9604-4021 kmdenton@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":5303,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","email":"kmdenton@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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,{"id":70099280,"text":"70099280 - 2014 - The influence of study species selection on estimates of pesticide exposure in free-ranging birds","interactions":[],"lastModifiedDate":"2018-10-11T16:39:24","indexId":"70099280","displayToPublicDate":"2014-03-24T11:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The influence of study species selection on estimates of pesticide exposure in free-ranging birds","docAbstract":"Field studies of pesticide effects on birds often utilize indicator species with the purpose 16 of extrapolating to other avian taxa. Little guidance exists for choosing indicator species to 17 monitor the presence and/or effects of contaminants that are labile in the environment or body, 18 but are acutely toxic, such as anticholinesterase (anti-ChE) insecticides. Use of an indicator 19 species that does not represent maximum exposure and/or effects could lead to inaccurate risk 20 estimates. Our objective was to test the relevance of a priori selection of indicator species for a 21 study on pesticide exposure to birds inhabiting fruit orchards. We used total plasma 22 cholinesterase (ChE) activity and ChE reactivation to describe the variability in anti-ChE exposure among avian species in two conventionally managed fruit orchards. Of seven 24 species included in statistical analyses, the less common species, chipping sparrow (Spizella 25 passerina), showed the greatest percentage of exposed individuals and the greatest ChE 26 depression, whereas the two most common species, American robins (Turdus migratorius) and 27 grey catbirds (Dumatella carolinensis), did not show significant exposure. Due to their lower 28 abundance, chipping sparrows would have been an unlikely choice for study. Our results show 29 that selection of indicator species using traditionally accepted criteria such as abundance and 30 ease of collection may not identify species that are at greatest risk. Our efforts also demonstrate 31 the usefulness of conducting multiple-species pilot studies prior to initiating detailed studies on 32 pesticide effects. A study such as ours can help focus research and resources on study species 33 that are most appropriate.","language":"English","publisher":"Springer","doi":"10.1007/s00267-013-0194-6","usgsCitation":"Borges, S.L., Vyas, N.B., and Christman, M.C., 2014, The influence of study species selection on estimates of pesticide exposure in free-ranging birds: Environmental Management, v. 53, no. 2, p. 416-428, https://doi.org/10.1007/s00267-013-0194-6.","productDescription":"13 p.","startPage":"416","endPage":"428","ipdsId":"IP-051761","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":284396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284389,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00267-013-0194-6"}],"volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-10-31","publicationStatus":"PW","scienceBaseUri":"53517069e4b05569d805a3fd","contributors":{"authors":[{"text":"Borges, Shannon L.","contributorId":31674,"corporation":false,"usgs":true,"family":"Borges","given":"Shannon","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christman, Mary C.","contributorId":101986,"corporation":false,"usgs":true,"family":"Christman","given":"Mary","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":491947,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099265,"text":"70099265 - 2014 - Toxicity of Pb-contaminated soil to Japanese quail (Coturnix japonica) and the use of the blood-dietary Pb slope in risk assessment","interactions":[],"lastModifiedDate":"2022-11-02T16:17:42.156526","indexId":"70099265","displayToPublicDate":"2014-03-24T11:49:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Toxicity of Pb-contaminated soil to Japanese quail (<i>Coturnix japonica</i>) and the use of the blood-dietary Pb slope in risk assessment","title":"Toxicity of Pb-contaminated soil to Japanese quail (Coturnix japonica) and the use of the blood-dietary Pb slope in risk assessment","docAbstract":"<p><span>This study relates tissue concentrations and toxic effects of Pb in Japanese quail (</span><i>Coturnix japonica</i><span>) to the dietary exposure of soil-borne Pb associated with mining and smelting. From 0% to 12% contaminated soil, by weight, was added to 5 experimental diets (0.12 to 382 mg Pb/kg, dry wt) and fed to the quail for 6 weeks. Benchmark doses associated with a 50% reduction in delta-aminolevulinic acid dehydratase activity were 0.62 mg Pb/kg in the blood, dry wt, and 27 mg Pb/kg in the diet. Benchmark doses associated with a 20% increase in the concentration of erythrocyte protoporphyrin were 2.7 mg Pb/kg in the blood and 152 mg Pb/kg in the diet. The quail showed no other signs of toxicity (histopathological lesions, alterations in plasma–testosterone concentration, and body and organ weights). The relation of the blood Pb concentration to the soil Pb concentration was linear, with a slope of 0.013 mg Pb/kg of blood (dry wt) divided by mg Pb/kg of diet. We suggest that this slope is potentially useful in ecological risk assessments on birds in the same way that the intake slope factor is an important parameter in risk assessments of children exposed to Pb. The slope may also be used in a tissue-residue approach as an additional line of evidence in ecological risk assessment, supplementary to an estimate of hazard based on dietary toxicity reference values.&nbsp;</span></p>","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.1453","usgsCitation":"Beyer, W.N., Chen, Y., Henry, P., May, T., Mosby, D., Rattner, B.A., Shearn-Bochsler, V.I., Sprague, D., and Weber, J., 2014, Toxicity of Pb-contaminated soil to Japanese quail (Coturnix japonica) and the use of the blood-dietary Pb slope in risk assessment: Integrated Environmental Assessment and Management, v. 10, no. 1, p. 22-29, https://doi.org/10.1002/ieam.1453.","productDescription":"8 p.","startPage":"22","endPage":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045517","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Mark Twain National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.77825365021265,\n              37.84124172811538\n            ],\n            [\n              -90.77825365021265,\n              37.79184123635133\n            ],\n            [\n              -90.71872608174992,\n              37.79184123635133\n            ],\n            [\n              -90.71872608174992,\n              37.84124172811538\n            ],\n            [\n              -90.77825365021265,\n              37.84124172811538\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-01","publicationStatus":"PW","scienceBaseUri":"558d2633e4b0b6d21dd656d2","contributors":{"authors":[{"text":"Beyer, W. 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