{"pageNumber":"1182","pageRowStart":"29525","pageSize":"25","recordCount":184937,"records":[{"id":70156881,"text":"sir20155123 - 2015 - The Moloka‘i coral reef today, and alternatives for the future: Summary in <i>The coral reef of south Moloka‘i, Hawai‘i—Portrait of a sediment-threatened fringing reef</i>","interactions":[],"lastModifiedDate":"2015-11-16T14:04:12","indexId":"sir20155123","displayToPublicDate":"2020-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5123","title":"The Moloka‘i coral reef today, and alternatives for the future: Summary in <i>The coral reef of south Moloka‘i, Hawai‘i—Portrait of a sediment-threatened fringing reef</i>","docAbstract":"<p>From the contributions collected in this publication have emerged two important observations that have significance locally, nationally, and internationally. First, the fringing coral reef along the south coast of Moloka'i is one of the most extensive and luxuriant reefs in the eight main Hawaiian Islands. It is longer and more continuous and has denser coral cover than reefs at any of the other islands&mdash;this alone makes it a state and national treasure worthy of study and protection. The second observation is more sobering: sections of the south Moloka'i reef have been damaged in the past by sedimentation ultimately caused by human activities in adjacent watersheds. Although some of those activities are no longer taking place, their lingering effects are still being felt in the form of excess sediment runoff. We here review the basis for each of these observations, discuss how sedimentation affects the reef, and summarize the choices that are faced by the people of Moloka'i and the State of Hawai'i with regard to the reef&rsquo;s future.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The coral reef of south Moloka‘i, Hawai‘i—Portrait of a sediment-threatened fringing reef (Scientific Investigations Report 2007-5101)","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20155123","usgsCitation":"Field, M.E., Cochran, S.A., Logan, J.B., and Storlazzi, C.D., 2015, The Moloka‘i coral reef today, and alternatives for the future: Summary in <i>The coral reef of south Moloka‘i, Hawai‘i—Portrait of a sediment-threatened fringing reef</i>: U.S. Geological Survey Scientific Investigations Report 2015-5123, 4 p., https://doi.org/10.3133/sir20155123.","productDescription":"4 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,{"id":70148416,"text":"fs20113009(VERSION2.0) - 2015 - Scanning and georeferencing historical USGS quadrangles (ver. 2.0, May 2015)","interactions":[],"lastModifiedDate":"2016-05-19T09:14:32","indexId":"fs20113009(VERSION2.0)","displayToPublicDate":"2020-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2011-3009","chapter":"(version 2.0)","title":"Scanning and georeferencing historical USGS quadrangles (ver. 2.0, May 2015)","docAbstract":"<p>The U.S. Geological Survey (USGS) National Geospatial Program is scanning published USGS 1:250,000-scale and larger topographic maps printed between 1884, the inception of the topographic mapping program, and 2006. The goal of this scanning, which started in 2011, is to provide a digital repository of USGS topographic maps, available to the public at no cost. For more than 125 years, the USGS topographic maps have accurately portrayed the complex geography of the Nation. The USGS is the Nation&rsquo;s largest producer of printed topographic maps, and, prior to 2006, USGS topographic maps were created using traditional cartographic methods and printed using a lithographic process. As the USGS continues release of a new generation of topographic maps (US Topo) in electronic form, the topographic map remains an indispensable tool for government, science, industry, land management planning, and leisure.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20113009(VERSION2.0)","collaboration":"Historical Topographic Map Collection","usgsCitation":"Davis, L.R., and Carswell, W., 2015, Scanning and georeferencing historical USGS quadrangles (ver. 2.0, May 2015) (2): U.S. Geological Survey Fact Sheet 2011-3009, 2 p., https://doi.org/10.3133/fs20113009(VERSION2.0).","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062257","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":307979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":307983,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2011/3009/","text":"USGS Index page","linkFileType":{"id":5,"text":"html"}},{"id":307980,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2011/3009/pdf/fs2011-3009.pdf","text":"Report","size":"514 KB","linkFileType":{"id":1,"text":"pdf"}}],"edition":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb6f8e4b058f706e53e6d","contributors":{"authors":[{"text":"Davis, Larry R. 0000-0003-2479-7432 lrdavis@usgs.gov","orcid":"https://orcid.org/0000-0003-2479-7432","contributorId":4655,"corporation":false,"usgs":true,"family":"Davis","given":"Larry","email":"lrdavis@usgs.gov","middleInitial":"R.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":548084,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carswell, William J. Jr. carswell@usgs.gov","contributorId":140026,"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":548085,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70148551,"text":"sir20155080 - 2015 - Surface-water quality in agricultural watersheds of the North Carolina Coastal Plain associated with concentrated animal feeding operations","interactions":[],"lastModifiedDate":"2019-08-13T08:57:12","indexId":"sir20155080","displayToPublicDate":"2019-08-13T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5080","title":"Surface-water quality in agricultural watersheds of the North Carolina Coastal Plain associated with concentrated animal feeding operations","docAbstract":"<p>The effects of concentrated animal feeding operations (CAFOs) on water quality were investigated at 54 agricultural stream sites throughout the North Carolina Coastal Plain during 2012 and 2013. Three general watershed land-use types were examined during the study, including 18 background watersheds with no active CAFOs (BK sites), 18 watersheds with one or more active swine CAFOs but no poultry CAFOs (SW sites), and 18 watersheds with at least one active swine CAFO and one active dry-litter poultry CAFO (SP sites). The watershed drainage areas for these 54 stream sites ranged from 1.2 to 17.5 square miles. Conventional fertilizers used for crop production are the primary source of nutrients at the BK sites. Animal-waste manures represent an additional source of nutrients at the SW and SP study sites.</p>\n<p>Land cover, soil drainage, and CAFO attributes were compiled for each watershed. Water-quality field measurements were made and samples were collected at the 54 primary sites during 6 bimonthly sampling periods from June 2012 to April 2013. An additional 23 secondary sites were sampled once during April 2013 to provide supplemental data at stream locations directly adjacent or in close proximity to swine CAFOs and (or) background agricultural areas within 9 of the primary watersheds. The watershed drainage areas for the 23 secondary sites ranged from 0.2 to 8.9 square miles. Water temperature, specific conductance, dissolved-oxygen concentration, and pH were measured directly in the streams. Water samples were analyzed for major ions, nutrients, and stable isotopes, including delta hydrogen-2 (&delta;<sup>2</sup>H) and delta oxygen-18 (&delta;<sup>18</sup>O) of water and delta nitrogen-15 (&delta;<sup>15</sup>N) and &delta;<sup>18</sup>O of dissolved nitrate plus nitrite.</p>\n<p>Most of the water-quality properties and constituents varied significantly among the six sampling periods, changing both seasonally and in response to hydrologic conditions. The differences noted among the sampling periods indicate that the interactions between seasonal climatic differences, streamflow conditions, and instream biotic and abiotic processes are complex and their integrated effects can have varying degrees of influence on individual nutrients.</p>\n<p>Water-quality differences were noted for the SW and SP land-use groups relative to the BK group. Median values of specific conductance, several major ions (magnesium, sodium, potassium, and chloride), and nitrogen fractions (ammonia plus organic nitrogen, ammonia, nitrate plus nitrite, total nitrogen, and &delta;<sup>15</sup>N of nitrate plus nitrite) were higher for the SW and SP groups compared to the BK group. No significant differences in water temperature, dissolved oxygen, calcium, total organic nitrogen, orthophosphate, total phosphorus, or &delta;<sup>18</sup>O of nitrate plus nitrite were noted among the land-use groups. When compared on the basis of land-use type, there was an overall measurable effect of CAFO waste manures on stream water quality for the SW and SP watershed groups.</p>\n<p>Some individual sites within the SW and SP groups showed no measurable CAFO effects on water quality despite having CAFOs present upstream. An evaluation of sodium plus potassium concentrations coupled with &delta;<sup>15</sup>N values of nitrate plus nitrite proved valuable for distinguishing which SW and SP sites had a water-quality signature indicative of CAFO waste manures. Sites with CAFO manure effects were characterized by higher sodium plus potassium concentrations (commonly between 11 and 33 milligrams per liter) and &delta;<sup>15</sup>N values of nitrate plus nitrite (commonly between 11 and 26 parts per thousand) relative to sites reflecting background agricultural conditions, which commonly had sodium plus potassium concentrations between 6 and 14 milligrams per liter and &delta;<sup>15</sup>N values of nitrate plus nitrite between 6 and 15 parts per thousand. On the basis of the results of this study, land applications of waste manure at swine CAFOs influenced ion and nutrient chemistry in many of the North Carolina Coastal Plain streams that were studied.</p>\n<p>A classification tree model was developed to examine relations of watershed environmental attributes among the study sites with and without CAFO manure effects. Model results indicated that variations in swine barn density, percentage of wetlands, and total acres available for applying swine-waste manures had an important influence on those watersheds where CAFO effects on water quality were either evident or mitigated. Measurable effects of CAFO waste manures on stream water quality were most evident in those SW and SP watersheds having lower percentages of wetlands combined with higher swine barn densities and (or) higher total acres available for applying waste manure at the swine CAFOs. Stream water quality was similar to background agricultural conditions in SW and SP watersheds with lower swine barn densities coupled with higher percentages of wetlands or lower acres available for swine manure applications. The model provides a useful tool for exploring and identifying similar, unmonitored watersheds in the North Carolina Coastal Plain with potential CAFO manure influences on water quality that might warrant further examination.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155080","collaboration":"Prepared in cooperation with the North Carolina Department of Environment and Natural Resources, Division of Water Resources","usgsCitation":"Harden, S.L., 2015, Surface-water quality in agricultural watersheds of the North Carolina Coastal Plain associated with concentrated animal feeding operations: U.S. Geological Survey Scientific Investigations Report 2015-5080, Report: ix, 55 p.; 7 Appendices, https://doi.org/10.3133/sir20155080.","productDescription":"Report: ix, 55 p.; 7 Appendices","numberOfPages":"70","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-02","temporalEnd":"2013-12-31","ipdsId":"IP-060201","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":301512,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155080.jpg"},{"id":366493,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA2/sir20155080_appendixA2_2.xlsx","text":"Appendix A2-2","size":"28 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Compiled hydrologic soil group data for each study site"},{"id":366494,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_2.xlsx","text":"Appendix A3-2","size":"13 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Inactive swine CAFO permits in sites"},{"id":366498,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_6.xlsx","text":"Appendix A3-6","size":"14 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Poultry CAFO attribute data by facility"},{"id":366495,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_3.xlsx","text":"Appendix A3-3","size":"37 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Active swine CAFO permits in sites"},{"id":366496,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_4.xlsx","text":"Appendix A3-4","size":"24 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Swine CAFO attribute data by permit"},{"id":366499,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_7.xlsx","text":"Appendix A3-7","size":"12 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Poultry CAFO attribute data by study site"},{"id":366500,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA4/sir20155080_appendixA4_2.xlsx","text":"Appendix A4-2","size":"13 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Compiled water-quality data for precipitation samples"},{"id":366506,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_5.xlsx","text":"Appendix A3-5","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Summary of swine CAFO attribute data by watershed study site"},{"id":366501,"rank":15,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA4/sir20155080_appendixA4_3.xlsx","text":"Appendix A4-3","size":"14 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Results of field blanks"},{"id":366502,"rank":16,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA4/sir20155080_appendixA4_4.xlsx","text":"Appendix A4-4","size":"20 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Results of replicate samples"},{"id":301478,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA3/sir20155080_appendixA3_1.xlsx","text":"Appendix A3-1","size":"13 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Permitted non-discharge facilities in sites"},{"id":301479,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA4/sir20155080_appendixA4_1.xlsx","text":"Appendix A4-1","size":"94 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Compiled water-quality data for surface-water samples"},{"id":301481,"rank":19,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA6/sir20155080_appendixA6.xlsx","text":"Appendix A6","size":"26 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Data used for distinguishing sites with manure influences"},{"id":301480,"rank":17,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA5/sir2015-5080_appendixA5.pdf","text":"Appendix A5","size":"11.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Detailed Evaluations of the April 2013 Water-Quality Dataset"},{"id":301477,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA2/sir20155080_appendixA2_1.xlsx","text":"Appendix A2-1","size":"28 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Compiled land-cover data for each study site"},{"id":301482,"rank":20,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA7/sir20155080_appendixA7.xlsx","text":"Appendix A7","size":"24 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Compiled study site data used in classification tree analyses"},{"id":301476,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixA1/sir20155080_appendixA1.pdf","text":"Appendix A1","size":"31.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Maps for the primary and secondary study sites"},{"id":301474,"rank":0,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5080/"},{"id":301475,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5080/pdf/sir2015-5080.pdf","text":"Report","size":"2.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5080"},{"id":301483,"rank":21,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5080/downloads/sir2015-5080_appendixes.zip","text":"Zipped appendixes","size":"42.35 MB","linkFileType":{"id":6,"text":"zip"},"description":"All appendixes zipped"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.87158203125,\n              36.55377524336086\n            ],\n            [\n              -75.41015624999999,\n              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,{"id":70147329,"text":"sir20155066 - 2015 - Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats","interactions":[{"subject":{"id":70147329,"text":"sir20155066 - 2015 - Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats","indexId":"sir20155066","publicationYear":"2015","noYear":false,"title":"Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats"},"predicate":"SUPERSEDED_BY","object":{"id":70200937,"text":"sir20185157 - 2019 - A Methodology to Assess the National and Regional Impacts of U.S. Wind Energy Development on Birds and Bats","indexId":"sir20185157","publicationYear":"2019","noYear":false,"title":"A Methodology to Assess the National and Regional Impacts of U.S. Wind Energy Development on Birds and Bats"},"id":1}],"supersededBy":{"id":70200937,"text":"sir20185157 - 2019 - A Methodology to Assess the National and Regional Impacts of U.S. Wind Energy Development on Birds and Bats","indexId":"sir20185157","publicationYear":"2019","noYear":false,"title":"A Methodology to Assess the National and Regional Impacts of U.S. Wind Energy Development on Birds and Bats"},"lastModifiedDate":"2019-07-23T13:11:00","indexId":"sir20155066","displayToPublicDate":"2019-07-23T14:11:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5066","title":"Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats","docAbstract":"<p>The U.S. Geological Survey has developed a methodology to assess the impacts of wind energy development on wildlife; it is a probabilistic, quantitative assessment methodology that can communicate to decision makers and the public the magnitude of these effects on species populations. The methodology is currently applicable to birds and bats, focuses primarily on the effects of collisions, and can be applied to any species that breeds in, migrates through, or otherwise uses any part of the United States. The methodology is intended to assess species at the national scale and is fundamentally different from existing methods focusing on impacts at individual facilities.</p>\n<p>Publicly available fatality information, population estimates, species range maps, turbine location data, biological characteristics, and generic population models are used to generate both a ranked list of species based on relative risk as well as quantitative measures of the magnitude of the effect on species' population trend and size. Three metrics are combined to determine direct and indirect relative risk to populations. A generic population model is used to estimate the expected change in population trend and includes additive mortality from collisions with wind turbines. Lastly, the methodology uses observed fatalities and an estimate of potential biological removal to assess the risk of a decline in population size. Data for six bird species have been processed through the entire methodology as a test case, and the results are presented in this report.</p>\n<p>Components of the methodology are based on simplifying assumptions and require information that, for many species, may be sparse or unreliable. These assumptions are presented in the report and should be carefully considered when using output from the methodology. In addition, this methodology can be used to recommend species for more intensive demographic modeling or highlight those species that may not require any additional protection because effects of wind energy development on their populations are projected to be small.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155066","usgsCitation":"Diffendorfer, J., Beston, J.A., Merrill, M., Stanton, J.C., Corum, M., Loss, S., Thogmartin, W.E., Johnson, D.H., Erickson, R.A., and Heist, K.W., 2015, Preliminary methodology to assess the national and regional impact of U.S. wind energy development on birds and bats: U.S. Geological Survey Scientific Investigations Report 2015-5066, 51 p., https://doi.org/10.3133/sir20155066.","productDescription":"51 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063536","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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W.","contributorId":83040,"corporation":false,"usgs":false,"family":"Heist","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":545805,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203706,"text":"70203706 - 2015 - Effects of simple acid leaching of crushed and powdered geological materials on high-precision Pb isotope analyses","interactions":[],"lastModifiedDate":"2019-06-17T13:13:47","indexId":"70203706","displayToPublicDate":"2019-05-28T11:04:44","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Effects of simple acid leaching of crushed and powdered geological materials on high-precision Pb isotope analyses","docAbstract":"<p><span>We present new results of simple acid leaching experiments on the Pb isotope composition of USGS standard reference material powders and on ocean island basalt whole rock splits and powders. Rock samples were leached with cold 6&nbsp;</span><i>N</i><span>&nbsp;HCl in an ultrasonic bath, then on a hot plate, and washed with ultrapure H</span><sub>2</sub><span>O before sample digestion in HF‐HNO</span><sub>3</sub><span>&nbsp;and chromatographic purification of Pb. Lead isotope analyses were measured by Tl‐doped MC‐ICPMS. Intrasession and intersession analytical reproducibilities of repeated analyses of both synthetic Pb solutions and Pb from single digests of chemically processed natural samples were generally better than 100 ppm (2 SD). The comparison of leached and unleached samples shows that leaching consistently removes variable amounts of contaminants that differ in Pb isotopic composition for different starting materials. For repeated digests of a single sample, analyses of leached samples reproduce better than those of unleached ones, confirming that leaching effectively removes most of the heterogeneously distributed extraneous Pb. Nevertheless, the external reproducibility of leached samples is still up to an order of magnitude worse than that of Pb solution standards (∼100 ppm). More complex leaching methods employed by earlier studies yield Pb isotope ratios within error of those produced by our method and at similar levels of reproducibility, demonstrating that our simple leaching method is as effective as more complex leaching techniques. Therefore, any Pb isotope heterogeneity among multiple leached digests of samples in excess of the external reproducibility is attributed to inherent isotopic heterogeneity of the sample. The external precision of ∼100 ppm (2 SD) achieved for Pb isotope ratio determination by Tl‐doped MC‐ICPMS is thus sufficient for most rocks. The full advantage of the most precise Pb isotope analytical methods is only realized in cases where the natural isotopic heterogeneity among samples in a studied suite is substantially below 100 ppm.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GC005804","usgsCitation":"Todd, E., Stracke, A., and Scherer, E., 2015, Effects of simple acid leaching of crushed and powdered geological materials on high-precision Pb isotope analyses: Geochemistry, Geophysics, Geosystems, v. 16, no. 7, p. 2276-2302, https://doi.org/10.1002/2015GC005804.","productDescription":"27 p.","startPage":"2276","endPage":"2302","ipdsId":"IP-061301","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":364432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":763732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stracke, Andreas","contributorId":216038,"corporation":false,"usgs":false,"family":"Stracke","given":"Andreas","email":"","affiliations":[{"id":39353,"text":"Westfälische Wilhelms Universität, Institüt für Mineralogie, Münster, Germany","active":true,"usgs":false}],"preferred":false,"id":763733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scherer, Erik","contributorId":216039,"corporation":false,"usgs":false,"family":"Scherer","given":"Erik","email":"","affiliations":[{"id":39353,"text":"Westfälische Wilhelms Universität, Institüt für Mineralogie, Münster, Germany","active":true,"usgs":false}],"preferred":false,"id":763734,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70147461,"text":"70147461 - 2015 - Photo Contest Engages Public with Harmful Algal Blooms","interactions":[],"lastModifiedDate":"2018-06-28T10:09:56","indexId":"70147461","displayToPublicDate":"2018-06-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2593,"text":"Lakeline","active":true,"publicationSubtype":{"id":10}},"title":"Photo Contest Engages Public with Harmful Algal Blooms","language":"English","publisher":"North American Lake Management Society","publisherLocation":"Madison, WI","usgsCitation":"Long, R., Graham, J., and Blount, S., 2015, Photo Contest Engages Public with Harmful Algal Blooms: Lakeline, v. 35, no. 2, p. 16-18.","productDescription":"3 p.","startPage":"16","endPage":"18","ipdsId":"IP-065382","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":355402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":355401,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nalms.org/product/lakeline-35-2-habs-and-usepa/"}],"volume":"35","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e9a5e4b060350a15d344","contributors":{"authors":[{"text":"Long, Rebecca","contributorId":140521,"corporation":false,"usgs":false,"family":"Long","given":"Rebecca","email":"","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":545972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. jlgraham@usgs.gov","contributorId":140520,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":545971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blount, Sarah","contributorId":140522,"corporation":false,"usgs":false,"family":"Blount","given":"Sarah","email":"","affiliations":[{"id":13523,"text":"NEEF","active":true,"usgs":false}],"preferred":false,"id":545973,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195581,"text":"70195581 - 2015 - Activity-specific ecological niche models for planning reintroductions of California condors (Gymnogyps californianus)","interactions":[],"lastModifiedDate":"2018-02-23T10:50:34","indexId":"70195581","displayToPublicDate":"2018-02-23T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Activity-specific ecological niche models for planning reintroductions of California condors (<i>Gymnogyps californianus</i>)","title":"Activity-specific ecological niche models for planning reintroductions of California condors (Gymnogyps californianus)","docAbstract":"<p><span>Ecological niche models can be a useful tool to identify candidate reintroduction sites for endangered species but have been infrequently used for this purpose. In this paper, we (1) develop activity-specific ecological niche models (nesting, roosting, and feeding) for the critically endangered California condor (</span><i>Gymnogyps californianus</i><span>) to aid in reintroduction planning in California, Oregon, and Washington, USA, (2) test the accuracy of these models using empirical data withheld from model development, and (3) integrate model results with information on condor movement ecology and biology to produce predictive maps of reintroduction site suitability. Our approach, which disentangles niche models into activity-specific components, has applications for other species where it is routinely assumed (often incorrectly) that individuals fulfill all requirements for life within a single environmental space. Ecological niche models conformed to our understanding of California condor ecology, had good predictive performance when tested with data withheld from model development, and aided in the identification of several candidate reintroduction areas outside of the current distribution of the species. Our results suggest there are large unoccupied regions of the California condor’s historical range that have retained ecological features similar to currently occupied habitats, and thus could be considered for future reintroduction efforts. Combining our activity-specific ENMs with ground reconnaissance and information on other threat factors that could not be directly incorporated into empirical ENMs will ultimately improve our ability to select successful reintroduction sites for the California condor.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2015.01.002","usgsCitation":"D'Elia, J., Haig, S.M., Johnson, M.J., Marcot, B.G., and Young, R., 2015, Activity-specific ecological niche models for planning reintroductions of California condors (Gymnogyps californianus): Biological Conservation, v. 184, p. 90-99, https://doi.org/10.1016/j.biocon.2015.01.002.","productDescription":"10 p.","startPage":"90","endPage":"99","ipdsId":"IP-061907","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":351901,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.38671874999999,\n              32.54681317351514\n            ],\n            [\n              -116.89453125,\n              32.54681317351514\n            ],\n            [\n              -116.89453125,\n              49.26780455063753\n            ],\n            [\n              -126.38671874999999,\n              49.26780455063753\n            ],\n            [\n              -126.38671874999999,\n              32.54681317351514\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"184","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeeb03e4b0da30c1bfc63e","contributors":{"authors":[{"text":"D'Elia, Jesse","contributorId":63152,"corporation":false,"usgs":true,"family":"D'Elia","given":"Jesse","affiliations":[],"preferred":false,"id":729364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haig, Susan M. 0000-0002-6616-7589 susan_haig@usgs.gov","orcid":"https://orcid.org/0000-0002-6616-7589","contributorId":719,"corporation":false,"usgs":true,"family":"Haig","given":"Susan","email":"susan_haig@usgs.gov","middleInitial":"M.","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":729365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Matthew J. mjjohnson@usgs.gov","contributorId":3604,"corporation":false,"usgs":true,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"J.","affiliations":[{"id":27989,"text":"Colorado Plateau Research Station, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":729366,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":729367,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Richard","contributorId":202719,"corporation":false,"usgs":false,"family":"Young","given":"Richard","affiliations":[],"preferred":false,"id":729368,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231261,"text":"70231261 - 2015 - Projected changes in diverse ecosystems from climate warming and biophysical drivers in northwest Alaska","interactions":[],"lastModifiedDate":"2022-05-04T14:07:39.294065","indexId":"70231261","displayToPublicDate":"2018-01-15T08:58:11","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Projected changes in diverse ecosystems from climate warming and biophysical drivers in northwest Alaska","docAbstract":"<p>Climate warming affects arctic and boreal ecosystems by interacting with numerous biophysical factors across heterogeneous landscapes. To assess potential effects of warming on diverse local-scale ecosystems (ecotypes) across northwest Alaska, we compiled data on historical areal changes over the last 25–50&nbsp;years. Based on historical rates of change relative to time and temperature, we developed three state-transition models to project future changes in area for 60 ecotypes involving 243 potential transitions during three 30-year periods (ending 2040, 2070, 2100). The time model, assuming changes over the past 30&nbsp;years continue at the same rate, projected a net change, or directional shift, of 6&nbsp;% by 2100. The temperature model, using past rates of change relative to the past increase in regional mean annual air temperatures (1&nbsp;°C/30&nbsp;year), projected a net change of 17&nbsp;% in response to expected warming of 2, 4, and 6&nbsp;°C at the end of the three periods. A rate-adjusted temperature model, which adjusted transition rates (±50&nbsp;%) based on assigned feedbacks associated with 23 biophysical drivers, estimated a net change of 13&nbsp;%, with 33 ecotypes gaining and 23 ecotypes losing area. Major drivers included shrub and tree expansion, fire, succession, and thermokarst. Overall, projected changes will be modest over the next century even though climate warming increased transition rates up to 9 fold. The strength of this state-transition modeling is that it used a large dataset of past changes to provide a comprehensive assessment of likely future changes associated with numerous drivers affecting the full diversity of ecosystems across a broad region.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-014-1302-1","usgsCitation":"Jorgenson, M.T., Marcot, B.G., Swanson, D.K., Jorgenson, J.C., and DeGange, A.R., 2015, Projected changes in diverse ecosystems from climate warming and biophysical drivers in northwest Alaska: Climatic Change, v. 130, p. 131-144, https://doi.org/10.1007/s10584-014-1302-1.","productDescription":"14 p.","startPage":"131","endPage":"144","ipdsId":"IP-051465","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":471483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10584-014-1302-1","text":"Publisher Index Page"},{"id":400129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -168.4423828125,\n              64.32087157990324\n            ],\n            [\n              -149.326171875,\n              64.32087157990324\n            ],\n            [\n              -149.326171875,\n              71.63599288330609\n            ],\n            [\n              -168.4423828125,\n              71.63599288330609\n            ],\n            [\n              -168.4423828125,\n              64.32087157990324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"130","noUsgsAuthors":false,"publicationDate":"2015-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Jorgenson, Mark Torre 0000-0002-9834-8851","orcid":"https://orcid.org/0000-0002-9834-8851","contributorId":169365,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Mark","email":"","middleInitial":"Torre","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":842149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":842150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, David K.","contributorId":178902,"corporation":false,"usgs":false,"family":"Swanson","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":842151,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jorgenson, Janet C.","contributorId":191903,"corporation":false,"usgs":false,"family":"Jorgenson","given":"Janet","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":842152,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeGange, Anthony R. tdegange@usgs.gov","contributorId":139765,"corporation":false,"usgs":true,"family":"DeGange","given":"Anthony","email":"tdegange@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":false,"id":842153,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048484,"text":"70048484 - 2015 - Map projections and reference systems","interactions":[],"lastModifiedDate":"2022-12-29T15:33:36.048011","indexId":"70048484","displayToPublicDate":"2018-01-01T11:23:24","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Map projections and reference systems","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"International map year 2015: The world of maps","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"International Cartographic Association","usgsCitation":"Lapaine, M., and Usery, E.L., 2015, Map projections and reference systems, chap. 9 <i>of</i> International map year 2015: The world of maps, 14 p.","productDescription":"14 p.","ipdsId":"IP-051932","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":355933,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://icaci.org/publications/"},{"id":355934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fcb28e4b0f5d57878eca5","contributors":{"editors":[{"text":"Rystedt, B.","contributorId":121526,"corporation":false,"usgs":false,"family":"Rystedt","given":"B.","email":"","affiliations":[],"preferred":false,"id":519991,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Ormeling, F.","contributorId":121527,"corporation":false,"usgs":false,"family":"Ormeling","given":"F.","email":"","affiliations":[],"preferred":false,"id":519992,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lapaine, Miljenko","contributorId":116998,"corporation":false,"usgs":true,"family":"Lapaine","given":"Miljenko","email":"","affiliations":[],"preferred":false,"id":518211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Usery, E. Lynn 0000-0002-2766-2173 usery@usgs.gov","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":231,"corporation":false,"usgs":true,"family":"Usery","given":"E.","email":"usery@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":518210,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70189615,"text":"70189615 - 2015 - The 2014 Mw6.1 South Napa Earthquake: A unilateral rupture with shallow asperity and rapid afterslip","interactions":[],"lastModifiedDate":"2017-07-19T09:33:52","indexId":"70189615","displayToPublicDate":"2017-07-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The 2014 Mw6.1 South Napa Earthquake: A unilateral rupture with shallow asperity and rapid afterslip","docAbstract":"<p>The M<sub>w</sub>6.1 South Napa earthquake occurred near Napa, California on August 24, 2014 (UTC), and was the largest inland earthquake in Northern California since the 1989 M<sub>w</sub>6.9 Loma Prieta earthquake. The first report of the earthquake from the Northern California Earthquake Data Center (NCEDC) indicates a hypocentral depth of 11.0km with longitude and latitude of (122.3105°W, 38.217°N). Surface rupture was documented by field observations and Lidar imaging (Brooks et al. 2014; Hudnut et al. 2014; Brocher et al., 2015), with about 12 km of continuous rupture starting near the epicenter and extending to the northwest. The southern part of the rupture is relatively straight, but the strike changes by about 15° at the northern end over a 6-km segment. The peak dextral offset was observed near the Buhman residence with right-.‐lateral motion of 46 cm, near the location where the strike of fault begins to rotate clock-.‐wise (Hudnut et al., 2014). The earthquake was well recorded by the strong motion network operated by the NCEDC, the California Geological Survey and the U.S. Geological Survey (USGS). There are about 12 sites within an epicentral distance of 15km, with relatively good azimuthal coverage (Fig.1). The largest peak-ground-velocity (PGV) of nearly 100 cm/s was observed on station 1765, which is the closest station to the rupture and lies about 3 km east of the northern segment (Fig. 1). The ground deformation associated with the earthquake was also well recorded by the high-resolution COSMO-SkyMed satellite and Sentinel-1A satellite, providing independent static observations.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140249","usgsCitation":"Wei, S., Barbot, S., Graves, R., Lienkaemper, J.J., Wang, T., Hudnut, K.W., Fu, Y., and Helmberger, D., 2015, The 2014 Mw6.1 South Napa Earthquake: A unilateral rupture with shallow asperity and rapid afterslip: Seismological Research Letters, v. 86, no. 2A, p. 344-354, https://doi.org/10.1785/0220140249.","productDescription":"11 p.","startPage":"344","endPage":"354","ipdsId":"IP-061960","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471484,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220140249","text":"External Repository"},{"id":344019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.0833,\n              38.01667\n            ],\n            [\n              -122.0167,\n               38.01667\n            ],\n            [\n              -122.0167,\n              38.08333\n            ],\n            [\n              -122.0833,\n              38.08333\n            ],\n            [\n              -122.0833,\n              38.01667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"86","issue":"2A","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-04","publicationStatus":"PW","scienceBaseUri":"59706fb8e4b0d1f9f065a8a9","contributors":{"authors":[{"text":"Wei, Shengji","contributorId":192953,"corporation":false,"usgs":false,"family":"Wei","given":"Shengji","email":"","affiliations":[],"preferred":false,"id":705447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbot, Sylvain","contributorId":194835,"corporation":false,"usgs":false,"family":"Barbot","given":"Sylvain","email":"","affiliations":[],"preferred":false,"id":705448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lienkaemper, James J. 0000-0002-7578-7042 jlienk@usgs.gov","orcid":"https://orcid.org/0000-0002-7578-7042","contributorId":1941,"corporation":false,"usgs":true,"family":"Lienkaemper","given":"James","email":"jlienk@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Teng","contributorId":156235,"corporation":false,"usgs":false,"family":"Wang","given":"Teng","email":"","affiliations":[{"id":20300,"text":"Southern Methodist University","active":true,"usgs":false}],"preferred":false,"id":705450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":705451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fu, Yuning","contributorId":194836,"corporation":false,"usgs":false,"family":"Fu","given":"Yuning","email":"","affiliations":[],"preferred":false,"id":705452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Helmberger, Don","contributorId":192954,"corporation":false,"usgs":false,"family":"Helmberger","given":"Don","email":"","affiliations":[],"preferred":false,"id":705453,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70154783,"text":"70154783 - 2015 - Stratigraphic reconnaissance of the Middle Jurassic Red Glacier Formation, Tuxedni Group, at Red Glacier, Cook Inlet, Alaska","interactions":[],"lastModifiedDate":"2017-06-07T14:33:28","indexId":"70154783","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Stratigraphic reconnaissance of the Middle Jurassic Red Glacier Formation, Tuxedni Group, at Red Glacier, Cook Inlet, Alaska","docAbstract":"<p>The Alaska Division of Geological &amp; Geophysical Surveys (DGGS) and U.S. Geological Survey (USGS) are implementing ongoing programs to characterize the petroleum potential of Cook Inlet basin. Since 2009 this program has included work on the Mesozoic stratigraphy of lower Cook Inlet, including the Middle Jurassic Tuxedni Group between Tuxedni and Iniskin bays (LePain and others, 2013; Stanley and others, 2013; fig. 5-1). The basal unit in the group, the Red Glacier Formation (fig. 5-2), is thought to be the principal source rock for oil produced in upper Cook Inlet, and available geochemical data support this contention (Magoon and Anders, 1992; Magoon, 1994). Despite its economic significance very little has been published on the formation since Detterman and Hartsock’s (1966) seminal contribution on the geology of the Iniskin–Tuxedni area nearly 50 years ago. Consequently its stratigraphy, contact relations with bounding formations, and source rock characteristics are poorly known. During the 2014 field season, a nearly continuous stratigraphic section through the Red Glacier Formation in its type area at Red Glacier was located and measured to characterize sedimentary facies and to collect a suite of samples for analyses of biostratigraphy, Rock-Eval pyrolysis, vitrinite reflectance, and sandstone composition (fig. 5-3).</p><p>The poorly known nature of the Red Glacier Formation is likely due to its remote location, steep terrain, and the fact that the type section is split into two segments that are more than 3 km apart. The lower 375 m segment of the formation is on the ridge between Red Glacier and Lateral Glacier and the upper 1,009 m segment is on the ridge between Red Glacier and Boulder Creek (fig. 5-3). Structural complications in the area add to the difficulty in understanding how these two segments fit together.</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/29460","usgsCitation":"LePain, D., and Stanley, R.G., 2015, Stratigraphic reconnaissance of the Middle Jurassic Red Glacier Formation, Tuxedni Group, at Red Glacier, Cook Inlet, Alaska, 6 p. , https://doi.org/10.14509/29460.","productDescription":"6 p. ","startPage":"23","endPage":"28","ipdsId":"IP-062973","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29460","text":"Publisher Index Page"},{"id":342235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305560,"type":{"id":11,"text":"Document"},"url":"https://dggs.alaska.gov/webpubs/dggs/pir/text/pir2015_005_05.pdf"}],"country":"United States ","state":"Alaska","otherGeospatial":"Cook Inlet ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.0947265625,\n              59.977005492196\n            ],\n            [\n              -148.38134765625,\n              59.977005492196\n            ],\n            [\n              -148.38134765625,\n              61.6794500443896\n            ],\n            [\n              -152.0947265625,\n              61.6794500443896\n            ],\n            [\n              -152.0947265625,\n              59.977005492196\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.43457031249997,\n              58.790978406215565\n            ],\n            [\n              -151.34765625,\n              58.790978406215565\n            ],\n            [\n              -151.34765625,\n              60.74842446462361\n            ],\n            [\n              -155.43457031249997,\n              60.74842446462361\n            ],\n            [\n              -155.43457031249997,\n              58.790978406215565\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910afe4b0764e6c5e8871","contributors":{"authors":[{"text":"LePain, David L.","contributorId":105209,"corporation":false,"usgs":true,"family":"LePain","given":"David L.","affiliations":[],"preferred":false,"id":564137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564136,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70154785,"text":"70154785 - 2015 - Reconnaissance stratigraphic studies in the Susitna basin, Alaska, during the 2014 field season","interactions":[],"lastModifiedDate":"2024-08-01T13:17:22.769452","indexId":"70154785","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Reconnaissance stratigraphic studies in the Susitna basin, Alaska, during the 2014 field season","docAbstract":"<p>The Susitna basin is a poorly-understood Cenozoic successor basin immediately north of Cook Inlet in south-central Alaska (Kirschner, 1994). The basin is bounded by the Castle Mountain fault and Cook Inlet basin on the south, the Talkeetna Mountains on the east, the Alaska Range on the north, and the Alaska–Aleutian Range on the west (fig. 2-1). The Cenozoic fill of the basin includes coal-bearing nonmarine rocks that are partly correlative with Paleogene strata in the Matanuska Valley and Paleogene and Neogene formations in Cook Inlet (Stanley and others, 2013, 2014). Mesozoic sedimentary rocks are present in widely-scattered uplifts in and around the margins of the basin; these rocks differ significantly from Mesozoic rocks in the forearc basin to the south. Mesozoic strata in the Susitna region were likely part of a remnant ocean basin that preceded the nonmarine Cenozoic basin (Trop and Ridgway, 2007). The presence of coal-bearing strata similar to units that are proven source rocks for microbial gas in Cook Inlet (Claypool and others, 1980) suggests the possibility of a similar system in the Susitna basin (Decker and others, 2012). In 2011 the Alaska Division of Geological &amp; Geophysical Surveys (DGGS) and Alaska Division of Oil and Gas, in collaboration with the U.S. Geological Survey, initiated a study of the gas potential of the Susitna basin (Gillis and others, 2013). This report presents a preliminary summary of the results from 14 days of helicopter-supported field work completed in the basin in August 2014. The goals of this work were to continue the reconnaissance stratigraphic work begun in 2011 aimed at understanding reservoir and seal potential of Tertiary strata, characterize the gas source potential of coals, and examine Mesozoic strata for source and reservoir potential</p>","language":"English","publisher":"Alaska Division of Geological and Geophysical Surveys","doi":"10.14509/29466","usgsCitation":"LePain, D., Stanley, R.G., Harun, N.T., Helmold, K.P., and Tsigonis, R., 2015, Reconnaissance stratigraphic studies in the Susitna basin, Alaska, during the 2014 field season, 6 p, https://doi.org/10.14509/29466.","productDescription":"6 p","startPage":"5","endPage":"10","ipdsId":"IP-061216","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":471485,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14509/29466","text":"Publisher Index 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rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":564145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harun, Nina T.","contributorId":145474,"corporation":false,"usgs":false,"family":"Harun","given":"Nina","email":"","middleInitial":"T.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":564147,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmold, Kenneth P.","contributorId":69456,"corporation":false,"usgs":true,"family":"Helmold","given":"Kenneth","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":564149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tsigonis, Rebekah","contributorId":145473,"corporation":false,"usgs":false,"family":"Tsigonis","given":"Rebekah","email":"","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":564148,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70155247,"text":"70155247 - 2015 - Structured decision making for management of warm-water habitat for manatees. Final report to U.S. Fish and Wildlife Service","interactions":[],"lastModifiedDate":"2017-06-07T10:22:12","indexId":"70155247","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Structured decision making for management of warm-water habitat for manatees. Final report to U.S. Fish and Wildlife Service","language":"English","usgsCitation":"Kosempa, M., Martin, J., Johnson, F.A., Mezich, R., Stith, B., Deutsch, C., Masi, M., and Edwards, H.H., 2015, Structured decision making for management of warm-water habitat for manatees. Final report to U.S. Fish and Wildlife Service, 24 p. .","productDescription":"24 p. ","startPage":"1","endPage":"24","ipdsId":"IP-055660","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":342202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"593910aee4b0764e6c5e8866","contributors":{"authors":[{"text":"Kosempa, Michael","contributorId":145794,"corporation":false,"usgs":false,"family":"Kosempa","given":"Michael","email":"","affiliations":[{"id":16235,"text":"Florida Fish & Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":565323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":565324,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":565325,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mezich, Ron","contributorId":145795,"corporation":false,"usgs":false,"family":"Mezich","given":"Ron","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":565326,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stith, Brad","contributorId":80354,"corporation":false,"usgs":true,"family":"Stith","given":"Brad","email":"","affiliations":[],"preferred":false,"id":565327,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deutsch, Charles J.","contributorId":64135,"corporation":false,"usgs":true,"family":"Deutsch","given":"Charles J.","affiliations":[],"preferred":false,"id":565328,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Masi, Michelle","contributorId":145796,"corporation":false,"usgs":false,"family":"Masi","given":"Michelle","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":565329,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Edwards, Holly H.","contributorId":66419,"corporation":false,"usgs":true,"family":"Edwards","given":"Holly","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":565330,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70155016,"text":"70155016 - 2015 - Status and trends of the Lake Huron offshore demersal fish community, 1976-2012","interactions":[],"lastModifiedDate":"2017-06-07T11:03:53","indexId":"70155016","displayToPublicDate":"2017-06-07T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends of the Lake Huron offshore demersal fish community, 1976-2012","docAbstract":"<p><span>The USGS Great Lakes Science Center has conducted trawl surveys to assess annual changes in the offshore demersal fish community of Lake Huron since 1973. Sample sites include five ports in U.S. waters with less frequent sampling near Goderich, Ontario. The 2012 fall bottom trawl survey was carried out between 20 October – 5 November 2012 and included all U.S. ports as well as Goderich, ON. The 2012 main basin prey fish biomass estimate for Lake Huron was 97 kilotonnes, higher than the estimate in 2011 (63.2 Kt), approximately one third of the maximum estimate in the time series, and nearly 6 times higher than the minimum estimate in 2009. The biomass estimates for adult alewife in 2012 were higher than 2011, but remained much lower than observed before the crash in 2004, and populations were dominated by small fish. Estimated biomass of rainbow smelt also increased and was the highest observed since 2005. Estimated adult bloater biomass in Lake Huron has been increasing in recent years, and the 2012 biomass estimate was the third highest ever observed in the survey. Biomass estimates for trout-perch and ninespine stickleback were higher than in 2011 but still remained low compared to historic estimates. The estimated biomass of deepwater and slimy sculpins increased over 2011, and slimy sculpin in particular seem to be increasing in abundance. The 2012 biomass estimate for round goby was similar to that in 2011 and was the highest observed in the survey. Substantial numbers of wild juvenile lake trout were captured again in 2012, suggesting that natural reproduction by lake trout continues to occur. The 2012 Lake Huron bottom trawl survey results suggest that several species of offshore demersal fish are beginning to increase in abundance.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Ann Arbor, MI","usgsCitation":"Roseman, E., Riley, S.C., Farha, S., Maitland, B.M., Tucker, T.R., Provo, S.A., and McLean, M.W., 2015, Status and trends of the Lake Huron offshore demersal fish community, 1976-2012, 13 p. .","productDescription":"13 p. 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,{"id":70155030,"text":"70155030 - 2015 - Geomorphology, active tectonics, and landscape evolution in the Mid-Atlantic region","interactions":[],"lastModifiedDate":"2021-02-17T22:48:33.740294","indexId":"70155030","displayToPublicDate":"2017-05-08T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Geomorphology, active tectonics, and landscape evolution in the Mid-Atlantic region","docAbstract":"<p>In 2014, the geomorphology community marked the 125th birthday of one of its most influential papers, “The Rivers and Valleys of Pennsylvania” by William Morris Davis. Inspired by Davis’s work, the Appalachian landscape rapidly became fertile ground for the development and testing of several grand landscape evolution paradigms, culminating with John Hack’s dynamic equilibrium in 1960. As part of the 2015 GSA Annual Meeting, the Geomorphology, Active Tectonics, and Landscape Evolution field trip offers an excellent venue for exploring Appalachian geomorphology through the lens of the Appalachian landscape, leveraging exciting research by a new generation of process-oriented geomorphologists and geologic field mapping. Important geomorphologic scholarship has recently used the Appalachian landscape as the testing ground for ideas on long- and short-term erosion, dynamic topography, glacial-isostatic adjustments, active tectonics in an intraplate setting, river incision, periglacial processes, and soil-saprolite formation. </p><p>This field trip explores a geologic and geomorphic transect of the mid-Atlantic margin, starting in the Blue Ridge of Virginia and proceeding to the east across the Piedmont to the Coastal Plain. The emphasis here will not only be on the geomorphology, but also the underlying geology that establishes the template and foundation upon which surface processes have etched out the familiar Appalachian landscape. The first day focuses on new and published work that highlights Cenozoic sedimentary deposits, soils, paleosols, and geomorphic markers (terraces and knickpoints) that are being used to reconstruct a late Cenozoic history of erosion, deposition, climate change, and active tectonics. The second day is similarly devoted to new and&nbsp;published work documenting the fluvial geomorphic response to active tectonics in the Central Virginia seismic zone (CVSZ), site of the 2011 M 5.8 Mineral earthquake and the integrated record of Appalachian erosion preserved on the Coastal Plain. The trip concludes on Day 3, joining the Kirk Bryan Field Trip at Great Falls, Virginia/ Maryland, to explore and discuss the dramatic processes of base-level fall, fluvial incision, and knickpoint retreat.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"GSA Field Guides","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","usgsCitation":"Pazzaglia, F.J., Carter, M.W., Berti, C., Counts, R.C., Hancock, G.S., Harbor, D., Harrison, R., Heller, M., Mahan, S.A., Malenda, H., McKeon, R., Nelson, M., Prince, P., Rittenour, T.M., Spotilla, J., and Whittecar, G.R., 2015, Geomorphology, active tectonics, and landscape evolution in the Mid-Atlantic region, chap. <i>of</i> GSA Field Guides, v. 40, p. 109-169.","productDescription":"61 p.","startPage":"109","endPage":"169","ipdsId":"IP-065614","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science 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 \"}}]}","volume":"40","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591183b4e4b0e541a03c1a5e","contributors":{"authors":[{"text":"Pazzaglia, Frank J.","contributorId":19477,"corporation":false,"usgs":true,"family":"Pazzaglia","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":564727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berti, Claudio","contributorId":145598,"corporation":false,"usgs":false,"family":"Berti","given":"Claudio","email":"","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":564738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Counts, Ronald C. 0000-0002-8426-1990 rcounts@usgs.gov","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":5343,"corporation":false,"usgs":true,"family":"Counts","given":"Ronald","email":"rcounts@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":694375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hancock, Gregory S.","contributorId":85096,"corporation":false,"usgs":false,"family":"Hancock","given":"Gregory","email":"","middleInitial":"S.","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":564729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harbor, David","contributorId":145592,"corporation":false,"usgs":false,"family":"Harbor","given":"David","affiliations":[{"id":16159,"text":"Washington and Lee University","active":true,"usgs":false}],"preferred":false,"id":564730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harrison, Richard W. rharriso@usgs.gov","contributorId":544,"corporation":false,"usgs":true,"family":"Harrison","given":"Richard W.","email":"rharriso@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":564731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Heller, Matthew J.","contributorId":81588,"corporation":false,"usgs":true,"family":"Heller","given":"Matthew J.","affiliations":[],"preferred":false,"id":564732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":694376,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Malenda, Helen","contributorId":145593,"corporation":false,"usgs":false,"family":"Malenda","given":"Helen","affiliations":[{"id":16160,"text":"Lehigh University","active":true,"usgs":false}],"preferred":false,"id":564733,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McKeon, Ryan","contributorId":145594,"corporation":false,"usgs":false,"family":"McKeon","given":"Ryan","email":"","affiliations":[{"id":16161,"text":"CRREL - Hanover, NH","active":true,"usgs":false}],"preferred":false,"id":564734,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nelson, Michelle S.","contributorId":140753,"corporation":false,"usgs":false,"family":"Nelson","given":"Michelle S.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":564739,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Prince, Phillip","contributorId":145595,"corporation":false,"usgs":false,"family":"Prince","given":"Phillip","email":"","affiliations":[{"id":16162,"text":"VA Tech","active":true,"usgs":false}],"preferred":false,"id":564735,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rittenour, Tammy M.","contributorId":140755,"corporation":false,"usgs":false,"family":"Rittenour","given":"Tammy","email":"","middleInitial":"M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":564740,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Spotilla, James","contributorId":145596,"corporation":false,"usgs":false,"family":"Spotilla","given":"James","email":"","affiliations":[{"id":16162,"text":"VA Tech","active":true,"usgs":false}],"preferred":false,"id":564736,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Whittecar, G. Richard","contributorId":177212,"corporation":false,"usgs":false,"family":"Whittecar","given":"G.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":564737,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70187116,"text":"70187116 - 2015 - Evaluation of perchlorate sources in the Rialto-Colton and Chino California subbasins using chlorine and oxygen isotope ratio analysis","interactions":[],"lastModifiedDate":"2017-04-25T09:23:28","indexId":"70187116","displayToPublicDate":"2017-04-25T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"ER-200942","title":"Evaluation of perchlorate sources in the Rialto-Colton and Chino California subbasins using chlorine and oxygen isotope ratio analysis","docAbstract":"Perchlorate (ClO4-) in groundwater can be from synthetic or natural sources, the latter of which include both historical application of imported nitrate fertilizers from the Atacama Desert of Chile and naturally deposited ClO4- that forms atmospherically and accumulates in arid regions such as the southwestern US. The objective of this study was to evaluate the use of isotopic data to distinguish sources of ClO4- in groundwater in a specific region of the Rialto-Colton and Chino, CA groundwater subbasins (Study Area). This region includes two groundwater ClO4- plumes emanating from known military/industrial source areas, and a larger area outside of these plumes having measurable ClO4-. Perchlorate extracted from wells in this region was analyzed for chlorine and oxygen stable isotope ratios (δ37Cl, δ18O, δ17O) and radioactive chlorine-36 (36Cl) isotopic abundance, along with other geochemical, isotopic, and hydrogeologic data. Isotope data indicate synthetic, Atacama, and indigenous natural ClO4- were present in the Study Area. Stable isotope data from nearly all sampled wells within the contours of the two characterized plumes, including those located in a perched zone and within the regional groundwater aquifer, were consistent with a dominant synthetic ClO4- source. In wells downgradient from the synthetic plumes and in the Chino subbasin to the southwest, isotopic data indicate the dominant source of ClO4- largely was Atacama, presumably from historical application of nitrate fertilizer in this region. Past agricultural land use and historical records are consistent with this source being present in groundwater. The 36Cl and δ18O data indicate that wells having predominantly synthetic or Atacama ClO4- also commonly contained small fractions of indigenous natural ClO4-. The indigenous ClO4- was most evident isotopically in wells having the lowest overall ClO4- concentrations (< 1 μg/L), consistent with its occurrence as a low-level background constituent in the region. A small subset of wells outside the contours of the two synthetic plumes, including an upgradient well, had characteristics indicating small amounts of synthetic ClO4- mixed with one or both of the natural source types. Hydrogeologic data indicate synthetic ClO4- in the upgradient well may be from a source other than the identified plume sources, but it is not known whether this source might also be present in other wells at low concentrations. The stable isotope and 36Cl data provided relatively unambiguous discrimination of synthetic and Atacama ClO4- sources in most wells having relatively high concentrations, providing regional perspective on anthropogenic ClO4- contamination in the Rialto-Colton and Chino subbasins. Where indigenous natural ClO4- was indicated as a substantial component, total ClO4- concentrations were low and concentrations of anthropogenic components were near background levels.","language":"English","publisher":"U.S. Department of Defense","usgsCitation":"Hatzinger, P.B., Bohlke, J., Izbicki, J.A., Teague, N.F., and Sturchio, N.C., 2015, Evaluation of perchlorate sources in the Rialto-Colton and Chino California subbasins using chlorine and oxygen isotope ratio analysis, x, 79 p.","productDescription":"x, 79 p.","ipdsId":"IP-062818","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340161,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.org/Program-Areas/Environmental-Restoration/Contaminated-Groundwater/Emerging-Issues/ER-200942"}],"country":"United States","state":"California","county":"San Bernadino","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.17993164062499,\n              33.815666308702774\n            ],\n            [\n              -114.993896484375,\n              33.815666308702774\n            ],\n            [\n              -115.037841796875,\n              34.95799531086792\n            ],\n            [\n              -118.16894531249999,\n              34.97600151317588\n            ],\n            [\n              -118.17993164062499,\n              33.815666308702774\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5dddd","contributors":{"authors":[{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":692534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":692533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":692536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teague, Nicholas F. 0000-0001-5289-1210 nteague@usgs.gov","orcid":"https://orcid.org/0000-0001-5289-1210","contributorId":2145,"corporation":false,"usgs":true,"family":"Teague","given":"Nicholas","email":"nteague@usgs.gov","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":692537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":692535,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70174120,"text":"70174120 - 2015 - Species conservation profile of the smallmouth bass micropterus dolomieu","interactions":[],"lastModifiedDate":"2017-04-19T14:59:20","indexId":"70174120","displayToPublicDate":"2017-04-19T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Species conservation profile of the smallmouth bass micropterus dolomieu","docAbstract":"<p>No abstract available</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Black bass diversity: Multidisciplinary science for conservation","conferenceTitle":"American Fisheries Society Symposium 82","language":"English","publisher":"American Fisheries Society","usgsCitation":"Brewer, S.K., 2015, Species conservation profile of the smallmouth bass micropterus dolomieu, chap. <i>of</i> Black bass diversity: Multidisciplinary science for conservation.","ipdsId":"IP-046040","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":339990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339987,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fisheries.org/bookstore/all-titles/afs-symposia/54082c/"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58f877b9e4b0b7ea54521c20","contributors":{"editors":[{"text":"Tringali, Michael D.","contributorId":191189,"corporation":false,"usgs":false,"family":"Tringali","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692222,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":692223,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Birdsong, Timothy W.","contributorId":172473,"corporation":false,"usgs":false,"family":"Birdsong","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":692224,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Allen, Michael S.","contributorId":67375,"corporation":false,"usgs":true,"family":"Allen","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":692225,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":640963,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70156031,"text":"ofr20151155 - 2015 - Wyoming Basin Rapid Ecoregional Assessment","interactions":[],"lastModifiedDate":"2017-04-18T15:26:13","indexId":"ofr20151155","displayToPublicDate":"2017-04-18T15:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-1155","title":"Wyoming Basin Rapid Ecoregional Assessment","docAbstract":"<p>The Wyoming Basin Rapid Ecoregional Assessment was conducted in partnership with the Bureau of Land Management (BLM). The overall goals of the BLM Rapid Ecoregional Assessments (REAs) are to identify important ecosystems and wildlife habitats at broad spatial scales; identify where these resources are at risk from Change Agents, including development, wildfire, invasive species, disease and climate change; quantify cumulative effects of anthropogenic stressors; and assess current levels of risk to ecological resources across a range of spatial scales and jurisdictional boundaries by assessing all lands within an ecoregion. There are several components of the REAs. Management Questions, developed by the BLM and stakeholders for the ecoregion, identify the regionally significant information needed for addressing land-management responsibilities. Conservation Elements represent regionally significant species and ecological communities that are of management concern. Change Agents that currently affect or are likely to affect the condition of species and communities in the future are identified and assessed. REAs also identify areas that have high conservation potential that are referred to as &ldquo;large intact areas.&rdquo; At the ecoregion level, the ecological value of large intact areas is based on the assumption that because these areas have not been greatly altered by human activities (such as development), they are more likely to contain a variety of plant and animal communities and to be resilient and resistant to changes resulting from natural disturbances such as fire, insect outbreaks, and disease.</p>\n<p>The Wyoming Basin Ecoregion encompasses approximately 133,656 square kilometers (51,604.87 square miles), including portions of Wyoming, Colorado, Utah, Idaho, and Montana. The Wyoming Basin has some of the highest quality wildlife habitats remaining in the Intermountain West. The wide variety of habitats includes intermountain basins dominated by sagebrush shrublands interspersed with deciduous and conifer woodlands and montane or subalpine forests at higher elevations. The Wyoming Basin also supports ranching and agricultural operations that are important to the region&rsquo;s economy and vital to conserving habitats for wildlife. The region also contains abundant energy resources, including large natural gas reserves and areas of high wind-energy potential. Combined with increased residential and industrial development, fast-paced energy development is resulting in notable land-use changes, including habitat loss and fragmentation.</p>\n<p>In the Wyoming Basin REA, we evaluated the following seven communities as Conservation Elements: streams and rivers, wetlands, riparian forests and shrublands, sagebrush steppe, desert shrublands, foothill shrublands and woodlands, and mountain forests and alpine zones. We evaluated a total of 14 species and species assemblages as Conservation Elements: aspen forests and woodlands, five-needle pine forests and woodlands, juniper woodlands, cutthroat trout, three-species fish assemblage, northern leatherside chub, sauger, spadefoot assemblage, greater sage-grouse, golden eagle, ferruginous hawk, sagebrush-obligate birds, pygmy rabbit, and mule deer.</p>\n<p>We evaluated Management Questions (Core and Integrated) for each species and community for the Wyoming Basin REA. Core Management Questions address primary management issues, including (1) where is the Conservation Element, and what are its key ecological attributes (characteristics of species and communities that may affect their long-term persistence or viability); (2) what and where are the Change Agents; and (3) how do the Change Agents affect the key ecological attributes? Integrated Management Questions synthesize the Core Management Questions as follows: (1) where are the areas with high landscape-level ecological values; (2) where are the areas with high landscape-level risks; and (3) where are the potential areas for conservation, restoration, and development? The associated maps and key findings for each Management Question are summarized for each Conservation Element in individual chapters. Additional chapters on landscape intactness and an REA synthesis are included.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151155","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Carr, N.B., and Melcher, C.P., eds., 2017, Wyoming Basin Rapid Ecoregional Assessment:  (ver. 1.1, April 2017) U.S. Geological Survey Open-File Report 2015–1155, 896 p., https://doi.org/10.3133/ofr20151155. ","productDescription":"xx, 896 p.","numberOfPages":"916","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-056609","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":307273,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/section3/","text":"Section III. Assessments of Communities","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter08.pdf\">Chapter 8—Streams and Rivers</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter09.pdf\">Chapter 9—Wetlands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter10.pdf\">Chapter 10—Riparian Forests and Shrublands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter11.pdf\">Chapter 11—Sagebrush Steppe</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter12.pdf\">Chapter 12—Desert Shrublands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter13.pdf\">Chapter 13—Foothill Shrublands and Woodlands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section3/chapter14.pdf\">Chapter 14—Montane and Subalpine Forests and Alpine Zones</a>"},{"id":307298,"rank":8,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/appendix/","text":"Appendix","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/appendix/appendix.pdf\">Appendix</a>"},{"id":307252,"rank":3,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/section1/","text":"Section I. Wyoming Basin Rapid Ecoregional Assessment Overview and Synthesis","description":"Section I","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section1/chapter1.pdf\">Chapter 1—Introduction and Overview</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section1/chapter2.pdf\">Chapter 2—Assessment Framework<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section1/chapter3\">Chapter 3—Synthesis of Key Findings for the Wyoming Basin Rapid Ecoregional Assessment"},{"id":307244,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/front.pdf","text":"Front Matter","size":"245 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Front Matter"},{"id":307281,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/section4/","text":"Section IV. Assessments of Species and Species Assemblages","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter15.pdf\">Chapter 15—Aspen Forests and Woodlands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter16.pdf\">Chapter 16—Five-Needle Pine Forests and Woodlands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter17.pdf\">Chapter 17—Juniper Woodlands</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter18.pdf\">Chapter 18—Cutthroat Trout</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter19.pdf\">Chapter 19—Three-Species Fish Assemblage</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter20.pdf\">Chapter 20—Northern Leatherside Chub</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter21.pdf\">Chapter 21—Sauger</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter22.pdf\">Chapter 22—Spadefoot Assemblage</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter23.pdf\">Chapter 23—Greater Sage-Grouse</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter24.pdf\">Chapter 24—Golden Eagle</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter25.pdf\">Chapter 25—Ferruginous Hawk</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter26.pdf\">Chapter 26—Sagebrush-Obligate Songbirds</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter27.pdf\">Chapter 27—Pygmy Rabbit</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section4/chapter28.pdf\">Chapter 28—Mule Deer</a>"},{"id":307241,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1155/coverthb3.jpg","linkHelpText":"http://pubs.usgs.gov/of/2015/1155/pdf/front.pdf"},{"id":336834,"rank":9,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2015/1155/versionHist.txt","size":"12.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2015-1155 Revision History"},{"id":307268,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/section2/","text":"Section II. Change Agents—Current and Future","description":"Section II","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section2/chapter4.pdf\">Chapter 4—Development</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section2/chapter5.pdf\">Chapter 5—Wildland Fire</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section2/chapter6.pdf\">Chapter 6—Terrestrial Invasive Plant Species</a><br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section2/chapter7.pdf\">Chapter 7—Climate Analysis</a>"},{"id":307296,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2015/1155/pdf/section5/","text":"Section V. Landscape Intactness","linkHelpText":"<br><a href=\"http://pubs.usgs.gov/of/2015/1155/pdf/section5/chapter29.pdf\">Chapter 29—Landscape Intactness</a>"}],"country":"United States","state":"Colorado, Idaho, Montana, Utah, Wyoming","otherGeospatial":"Wyoming Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.796875,\n              39.926588421909436\n            ],\n            [\n              -111.796875,\n              45.67548217560647\n            ],\n            [\n              -104.91943359374999,\n              45.67548217560647\n            ],\n            [\n              -104.91943359374999,\n              39.926588421909436\n            ],\n            [\n              -111.796875,\n              39.926588421909436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally posted August 28, 2015; Version 1.1: April 18, 2017","contact":"<p>Director, Fort Collins Science Center<br /> U.S. Geological Survey <br /> 2150 Centre Ave., Bldg. C<br /> Fort Collins, CO 80526&ndash;8118<br /><a href=\"http://www.fort.usgs.gov/\">http://www.fort.usgs.gov/</a></p>","tableOfContents":"<ul>\n<li>Editors and Contributing Authors</li>\n<li>Executive Summary</li>\n<li>Acknowledgments</li>\n<li>Acronyms Used in this Report</li>\n<li>Scientific Names of Species Used in This Report</li>\n<li>Conversion Factors</li>\n<li>Scientific Notation Used in This Report</li>\n<li>How to Use the Wyoming Basin Rapid Ecoregional Assessment</li>\n<li>Section I. Wyoming Basin Rapid Ecoregional Assessment Overview and Synthesis</li>\n<li>Section II. Change Agents&mdash;Current and Future</li>\n<li>Section III. Assessments of Communities</li>\n<li>Section IV. Assessments of Species and Species Assemblages</li>\n<li>Section V. Landscape Intactness</li>\n<li>Appendix</li>\n</ul>","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2015-08-28","revisedDate":"2017-04-18","noUsgsAuthors":false,"publicationDate":"2015-08-28","publicationStatus":"PW","scienceBaseUri":"560bb722e4b058f706e53fb5","contributors":{"editors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":569741,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":569742,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}}
,{"id":70184484,"text":"70184484 - 2015 - Demographic rates and population viability of black bears in Louisiana","interactions":[],"lastModifiedDate":"2017-03-10T11:39:39","indexId":"70184484","displayToPublicDate":"2017-03-10T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3773,"text":"Wildlife Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Demographic rates and population viability of black bears in Louisiana","docAbstract":"<p><span>The Louisiana black bear (</span><i>Ursus americanus luteolus</i><span>) was reduced to a few small, fragmented, and isolated subpopulations in the Lower Mississippi Alluvial Valley by the mid-twentieth century resulting from loss and fragmentation of habitat. In 1992, the United States Fish and Wildlife Service (USFWS) granted the Louisiana black bear threatened status under the United States Endangered Species Act of 1973. Since that time, a recovery plan was developed, a reintroduced population was established, and habitat recovery has occurred. The Recovery Plan states that a minimum of 2 populations must be viable (i.e., persistence probabilities over 100 years &gt;0.95), 1 in the Tensas River Basin and 1 in the Atchafalaya River Basin. Consequently, our objectives were to 1) estimate demographic rates of Louisiana black bear subpopulations, 2) develop data-driven stochastic population projection models, and 3) determine how different projection model assumptions affect population trajectories and predictions about long-term persistence. Our overall goal was to assess long-term persistence of the bear subpopulations in Louisiana, individually and as a whole. We collected data using varying combinations of non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the 4 areas currently supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and a recently reintroduced population at the Three Rivers Complex (TRC). From 2002 to 2012, we radio monitored fates of 86 adult females within the TRB and 43 in the TRC. Mean estimates of annual adult survival for the TRB and TRC were 0.997 and 0.990, respectively, when unknown fates were assumed alive and 0.970 and 0.926 when unknown fates were assumed dead. From 2003 to 2013, we observed 130 cub litters from 74 females in the TRB, and 74 cub litters from 45 females in the TRC. During the same period, we observed 43 yearling litters for 33 females in the TRB and 21 yearling litters for 19 females in the TRC. The estimated number of cubs and number of yearlings produced per breeding adult female was 0.47 and 0.20, respectively, in the TRB and 0.32 and 0.18 in the TRC. On the basis of matrix projection models, asymptotic growth rates ranged from 1.053 to 1.078 for the TRB and from 1.005 to 1.062 for the TRC, depending on how we treated unresolved fates of adult females. Persistence probabilities estimated from stochastic population models based on telemetry data ranged from 0.997 to 0.998 for the TRC subpopulation depending on model assumptions and were &gt;0.999 for the TRB regardless of model assumptions. We extracted DNA from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB to determine individual identities for capture-mark-recapture (CMR) analysis. We used those detection histories to estimate apparent survival (</span><i>φ</i><span>), per-capita recruitment (</span><i>f</i><span>), abundance (</span><i>N</i><span>), realized growth rate (</span><i>λ</i><span>), and long-term viability, based on Bayesian hierarchical modeling methods that allowed estimation of temporal process variance and parameter uncertainty. Based on 23,312 hair samples, annual </span><i>N</i><span> for females in the TRB ranged from 133 to 164 during 2006–2012, depending on year and how detection heterogeneity was modeled. Geometric mean of </span><i>λ</i><span> ranged from 0.996 to 1.002. In the UARB, we collected 11,643 hair samples from 2007 to 2012, from which estimates of </span><i>N</i><span> for females ranged from 23 to 43 during the study period, depending on detection heterogeneity model. The geometric mean of </span><i>λ</i><span> ranged from 1.038 to 1.059. Estimated </span><i>N</i><span> for females in LARB ranged from 69 to 96, and annual </span><i>λ</i><span> ranged from 0.80 to 1.11 based on 3,698 hair samples collected during 2010–2012, also depending on year and heterogeneity model. Probabilities of persistence over 100 years for the TRC and TRB based on stochastic matrix projection models that used vital rate estimates from telemetry data were &gt;0.95 for all scenarios. Probability of persistence at the TRB and the UARB based on projection models that used vital rate estimates from CMR analyses ranged from 0.928 to 0.954 and from 0.906 to 0.959, respectively, depending on model assumptions. Data from the LARB were insufficient for a viability assessment. Thus, individual persistence probabilities for TRB and UARB did not meet the strict definition of viability (i.e., &gt;0.95) under some model assumptions. However, the joint probability of bears persisting either in the TRB or UARB was &gt;0.993 assuming individual population dynamics were independent and was &gt;0.958 assuming dynamics were perfectly correlated. Furthermore, including the TRC increased the joint probability of bears persisting somewhere in the TRB, UARB, or TRC to &gt;0.999 based on the most pessimistic individual persistence estimates from those subpopulations. Therefore, if the intent of specifying that 2 subpopulations should be viable was to ensure the persistence of Louisiana black bears somewhere within its historical range, then the viability threshold was met. © 2016 The Wildlife Society.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wmon.1018","collaboration":"U.S. Fish and Wildlife Service; Louisiana Department of Wildlife and Fisheries","usgsCitation":"Laufenberg, J.S., Clark, J.D., Hooker, M.J., Lowe, C.L., O’Connell-Goode, K.C., Troxler, J.C., Davidson, M., Chamberlain, M.J., and Chandler, R.B., 2015, Demographic rates and population viability of black bears in Louisiana: Wildlife Monographs, v. 194, no. 1, p. 1-37, https://doi.org/10.1002/wmon.1018.","productDescription":"37 p.","startPage":"1","endPage":"37","ipdsId":"IP-069827","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science 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C.","contributorId":187787,"corporation":false,"usgs":false,"family":"Troxler","given":"Jesse","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":681674,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davidson, Maria M.","contributorId":187788,"corporation":false,"usgs":false,"family":"Davidson","given":"Maria M.","affiliations":[],"preferred":false,"id":681675,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chamberlain, Michael J.","contributorId":179350,"corporation":false,"usgs":false,"family":"Chamberlain","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":681676,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chandler, Richard B. 0000-0003-4930-2790 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,{"id":70182768,"text":"70182768 - 2015 - Collapse risk of buildings in the Pacific Northwest region due to subduction earthquakes","interactions":[],"lastModifiedDate":"2017-03-06T11:56:42","indexId":"70182768","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Collapse risk of buildings in the Pacific Northwest region due to subduction earthquakes","docAbstract":"<p><span>Subduction earthquakes similar to the 2011 Japan and 2010 Chile events will occur in the future in the Cascadia subduction zone in the Pacific Northwest. In this paper, nonlinear dynamic analyses are carried out on 24 buildings designed according to outdated and modern building codes for the cities of Seattle, Washington, and Portland, Oregon. The results indicate that the median collapse capacity of the ductile (post-1970) buildings is approximately 40% less when subjected to ground motions from subduction, as compared to crustal earthquakes. Buildings are more susceptible to earthquake-induced collapse when shaken by subduction records (as compared to crustal records of the same intensity) because the subduction motions tend to be longer in duration due to their larger magnitude and the greater source-to-site distance. As a result, subduction earthquakes are shown to contribute to the majority of the collapse risk of the buildings analyzed.</span></p>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/012114EQS011M","usgsCitation":"Raghunandan, M., Liel, A.B., and Luco, N., 2015, Collapse risk of buildings in the Pacific Northwest region due to subduction earthquakes: Earthquake Spectra, v. 31, no. 4, p. 2087-2115, https://doi.org/10.1193/012114EQS011M.","productDescription":"29 p.","startPage":"2087","endPage":"2115","ipdsId":"IP-060810","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":336341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Northwest","volume":"31","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-01","publicationStatus":"PW","scienceBaseUri":"58b69a42e4b01ccd54ff3fa6","contributors":{"authors":[{"text":"Raghunandan, Meera","contributorId":184157,"corporation":false,"usgs":false,"family":"Raghunandan","given":"Meera","email":"","affiliations":[],"preferred":false,"id":673681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liel, Abbie B.","contributorId":184158,"corporation":false,"usgs":false,"family":"Liel","given":"Abbie","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":673682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182748,"text":"70182748 - 2015 - Dating base flow in streams using dissolved gases and diurnal temperature changes","interactions":[],"lastModifiedDate":"2017-02-28T09:17:56","indexId":"70182748","displayToPublicDate":"2017-02-28T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Dating base flow in streams using dissolved gases and diurnal temperature changes","docAbstract":"<p><span>A method is presented for using dissolved CFCs or SF</span><sub>6</sub><span> to estimate the apparent age of stream base flow by indirectly estimating the mean concentration of the tracer in the inflowing groundwater. The mean value is estimated simultaneously with the mean residence times of the gas and water in the stream by sampling the stream for one or both age tracers, along with dissolved nitrogen and argon at a single location over a period of approximately 12–14 h. The data are fitted to an equation representing the temporal in-stream gas exchange as it responds to the diurnal temperature fluctuation. The efficacy of the method is demonstrated by collecting and analyzing samples at six different stream locations across parts of northern Virginia, USA. The studied streams drain watersheds with areas of between 2 and 122 km</span><sup>2</sup><span> during periods when the diurnal stream temperature ranged between 2 and 5°C. The method has the advantage of estimating the mean groundwater residence time of discharge from the watershed to the stream without the need for the collection of groundwater infiltrating to streambeds or local groundwater sampled from shallow observation wells near the stream.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2014WR016796","usgsCitation":"Sanford, W.E., Casile, G.C., and Haase, K.B., 2015, Dating base flow in streams using dissolved gases and diurnal temperature changes: Water Resources Research, v. 51, no. 12, p. 9790-9803, https://doi.org/10.1002/2014WR016796.","productDescription":"14 p.","startPage":"9790","endPage":"9803","ipdsId":"IP-067414","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":471487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014wr016796","text":"Publisher Index Page"},{"id":336311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","volume":"51","issue":"12","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-19","publicationStatus":"PW","scienceBaseUri":"58b69a42e4b01ccd54ff3fa8","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casile, Gerolamo C. jcasile@usgs.gov","contributorId":4007,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","email":"jcasile@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673563,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haase, Karl B. 0000-0002-6897-6494 khaase@usgs.gov","orcid":"https://orcid.org/0000-0002-6897-6494","contributorId":3405,"corporation":false,"usgs":true,"family":"Haase","given":"Karl","email":"khaase@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673564,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70155971,"text":"70155971 - 2015 - The Swinomish Indian Tribal Community prepares for climate change impacts","interactions":[],"lastModifiedDate":"2017-05-16T10:49:41","indexId":"70155971","displayToPublicDate":"2017-01-17T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"The Swinomish Indian Tribal Community prepares for climate change impacts","docAbstract":"From changes in traditional foods to concerns of displacement from rising seas, this coastal community in the Pacific Northwest is assessing potential impacts to make decisions for their future.","language":"English","publisher":"National Oceanic and Atmospheric Administration","usgsCitation":"Grossman, E., Donatuto, J., Grossman, S., and Campbell, L.W., 2015, The Swinomish Indian Tribal Community prepares for climate change impacts, HTML document.","productDescription":"HTML document","ipdsId":"IP-065486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":306466,"type":{"id":15,"text":"Index Page"},"url":"https://toolkit.climate.gov/taking-action/swinomish-indian-tribal-community-prepares-climate-change-impacts"},{"id":341338,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Swinomish Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.73239135742188,\n              48.36035532919418\n            ],\n            [\n              -122.4542999267578,\n              48.36035532919418\n            ],\n            [\n              -122.4542999267578,\n              48.517968838568294\n            ],\n            [\n              -122.73239135742188,\n              48.517968838568294\n            ],\n            [\n              -122.73239135742188,\n              48.36035532919418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fcae4b0a7fdb43ddef4","contributors":{"authors":[{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":140908,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric E.","email":"egrossman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":567476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donatuto, Jamie","contributorId":38474,"corporation":false,"usgs":true,"family":"Donatuto","given":"Jamie","affiliations":[],"preferred":false,"id":567477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grossman, Sarah","contributorId":22688,"corporation":false,"usgs":true,"family":"Grossman","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":567478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Larry W.","contributorId":38475,"corporation":false,"usgs":true,"family":"Campbell","given":"Larry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":567479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160853,"text":"70160853 - 2015 - A guide to the use of distance sampling to estimate abundance of Karner blue butterflies","interactions":[],"lastModifiedDate":"2017-04-26T09:11:51","indexId":"70160853","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A guide to the use of distance sampling to estimate abundance of Karner blue butterflies","docAbstract":"This guide is intended to describe the use of distance sampling as a method for evaluating the abundance of Karner blue butterflies at a location. Other methods for evaluating abundance exist, including mark-release-recapture and index counts derived from Pollard-Yates surveys, for example. 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,{"id":70160758,"text":"70160758 - 2015 - Practitioners' views of science needs for the Great Lakes coastal ecosystem","interactions":[],"lastModifiedDate":"2017-04-26T09:19:51","indexId":"70160758","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Practitioners' views of science needs for the Great Lakes coastal ecosystem","docAbstract":"In 2014, the U.S. Geological Survey Great Lake Science Center (USGS-GLSC) and the USGS-Michigan Water Science Center partnered with the Great Lakes Commission (GLC) to conduct a series of four workshops with coastal practitioners and managers across the Great Lakes basin to highlight the need for, and get input on, a Great Lakes regional coastal science strategy. To this end, this report is intended to help guide USGS coastal and nearshore science priorities, but may also help guide other science agencies.\n\nThe USGS-GLSC partnership on this effort was part of a broader five-year Memorandum of Understanding between the USGS-GLSC and the GLC to enhance communications between coastal science and management communities within the Great Lakes region.\n\nThis report presents a summary and analysis of participant feedback from the four workshops held in 2014. Participant feedback included participant worksheets as well as interactive drawing sessions, individual notes and group flip chart notes from each workshop. The results are presented as a series of findings that can be used to guide USGS coastal/nearshore science priorities in support of management needs at local, state and regional scales.","language":"English","publisher":"Great Lakes Commission","collaboration":"Great Lakes Commission","usgsCitation":"Pebbles, V., Lillard, E.C., Seelbach, P.W., and Fogarty, L.R., 2015, Practitioners' views of science needs for the Great Lakes coastal ecosystem, 30 p.","productDescription":"30 p.","ipdsId":"IP-066840","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340431,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://greatlakesinform.org/knowledge-network/1462"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1bce4b0c2e071a99ba0","contributors":{"authors":[{"text":"Pebbles, Victoria vpebbles@usgs.gov","contributorId":5633,"corporation":false,"usgs":true,"family":"Pebbles","given":"Victoria","email":"vpebbles@usgs.gov","affiliations":[],"preferred":true,"id":583766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lillard, Elizabath C.","contributorId":150957,"corporation":false,"usgs":false,"family":"Lillard","given":"Elizabath","email":"","middleInitial":"C.","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":583767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seelbach, Paul W. pseelbach@usgs.gov","contributorId":3937,"corporation":false,"usgs":true,"family":"Seelbach","given":"Paul","email":"pseelbach@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fogarty, Lisa Reynolds 0000-0003-0329-3251 lrfogart@usgs.gov","orcid":"https://orcid.org/0000-0003-0329-3251","contributorId":150958,"corporation":false,"usgs":true,"family":"Fogarty","given":"Lisa","email":"lrfogart@usgs.gov","middleInitial":"Reynolds","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":583768,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70159601,"text":"70159601 - 2015 - Management of aspen in a changing environment","interactions":[],"lastModifiedDate":"2017-11-22T15:36:39","indexId":"70159601","displayToPublicDate":"2016-12-31T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Management of aspen in a changing environment","docAbstract":"<ul><li>Aspen communities are biologically rich and ecologically valuable, yet they face myriad threats, including changing climate, altered fire regimes, and excessive browsing by domestic and wild ungulates.&nbsp;</li><li>Recognizing the different types of aspen communities that occur in the Great Basin, and being able to distinguish between seral and stable aspen stands, can help managers better identify restoration needs and objectives. </li><li>Identifying key threats to aspen regeneration and persistence in a given stand or landscape is important to designing restoration plans, and to selecting appropriate treatment types. </li><li>Although some aspen stands will need intensive treatment (e.g., use of fire) to persist or remain healthy, other stands may only require the modification of current management practices (e.g., reducing livestock browsing) or may not require any action at all (e.g., self-replacing stable aspen communities).<br></li></ul>","language":"English","publisher":"Sage Grouse Initiative","usgsCitation":"Shinneman, D.J., Halford, A.S., Howell, C., Krasnow, K., and Strand, E.K., 2015, Management of aspen in a changing environment, 8 p.","productDescription":"8 p.","ipdsId":"IP-070539","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":340728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":340727,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.sagegrouseinitiative.com/management-of-aspen-in-a-changing-environment/"}],"country":"United States","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.7177734375,\n              36.08462129606931\n            ],\n            [\n              -112.82958984375,\n              36.08462129606931\n            ],\n            [\n              -112.82958984375,\n              42.924251753870685\n            ],\n            [\n              -120.7177734375,\n              42.924251753870685\n            ],\n            [\n              -120.7177734375,\n              36.08462129606931\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59099aaee4b0fc4e449157f2","contributors":{"editors":[{"text":"Chambers, Jeanne","contributorId":60141,"corporation":false,"usgs":true,"family":"Chambers","given":"Jeanne","affiliations":[],"preferred":false,"id":693916,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":579659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Anne 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