{"pageNumber":"1454","pageRowStart":"36325","pageSize":"25","recordCount":184660,"records":[{"id":70191975,"text":"70191975 - 2013 - Developing an outcome-based biodiversity metric in support of the field to market project: Final report","interactions":[],"lastModifiedDate":"2018-12-20T11:55:36","indexId":"70191975","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":5602,"text":"Technical Bulletin","active":true,"publicationSubtype":{"id":9}},"seriesNumber":"334","title":"Developing an outcome-based biodiversity metric in support of the field to market project: Final report","docAbstract":"<p>Our objective was to create a metric that would calculate the relative impact of common commercial agricultural practices on terrestrial vertebrate richness. We sought to define impacts in fields (including field borders) of the southeastern region’s commercial production of corn, wheat, soy, and cotton. The metric is intended to serve as an educational tool, allowing producers to see how operational decisions made at the field level impact overall vertebrate species richness and to explore decision impacts to targeted species groups (e.g. game, pest, or beneficial species). </p><p>Agricultural landscapes are often mistakenly thought to be unsuitable habitat for most species. However, as demonstrated by results reported here, even large-scale, conventional agricultural producers are potentially important partners in biodiversity conservation. Many vertebrate species do inhabit agricultural landscapes, benefitting from the provision of water, food, or shelter within cultivated fields and their immediate borders (e.g., Holland et al. 2012). In the Southeastern US, of the 613 terrestrial vertebrate species modeled by the Southeast Gap Analysis Program (SEGAP) (http://www.basic.ncsu.edu/segap/index.html), 263 utilize row crop and associated agricultural land cover classes as potential habitat (Box 1). While some species may be sensitive to certain operational practices (e.g., tillage, pest management, or field border management practices), others are generally tolerant, and some may benefit either directly or indirectly. For example, field margins and ditches often serve as semi-natural habitats providing foraging resources and shelter for vertebrates and are shown to positively influence species richness and abundance (Billeter et al. 2007; Herzon &amp; Helenius 2008; Marshall &amp; Moonen 2002; Shore et al. 2005; Weibull et al. 2003; Wuczyńskia et al. 2011). Biodiversity responses are, therefore, complex, as an individual species’ responses to agricultural production practices depends on that animal’s resource specialization, mobility, and life history strategies (Jeanneret et al. 2003a, b; Jennings &amp; Pocock 2009). </p><p>The knowledge necessary to define the biodiversity contribution of agricultural lands is specialized, dispersed, and nuanced, and thus not readily accessible. Given access to clearly defined biodiversity tradeoffs between alternative agricultural practices, landowners, land managers and farm operators could collectively enhance the conservation and economic value of agricultural landscapes. Therefore, Field to Market: The Keystone Alliance for Sustainable Agriculture and The Nature Conservancy jointly funded a pilot project to develop a biodiversity metric to integrate into Field to Market’s existing sustainability calculator, The Fieldprint Calculator (http://www. fieldtomarket.org/). Field to Market: The Keystone Alliance for Sustainable Agriculture is an alliance among producers, agribusinesses, food companies, and conservation organizations seeking to create sustainable outcomes for agriculture. The Fieldprint Calculator supports the Keystone Alliance’s vision to achieve safe, accessible, and nutritious food, fiber and fuel in thriving ecosystems to meet the needs of 9 billion people in 2050. In support of this same vision, our project provides proof-of-concept for an outcome-based biodiversity metric for Field to Market to quantify biodiversity impacts of commercial row crop production on terrestrial vertebrate richness. </p><p>Little research exists examining the impacts of alternative commercial agricultural practices on overall terrestrial biodiversity (McLaughlin &amp; Mineau 1995). Instead, most studies compare organic versus conventional practices (e.g. Freemark &amp; Kirk 2001; Wickramasinghe et al. 2004), and most studies focus on flora, avian, or invertebrate communities (Jeanneret et al. 2003a; Maes et al. 2008; Pollard &amp; Relton 1970).&nbsp;Therefore, we used an expert-knowledge-based approach to develop a metric that predicts expected impacts to shelter and forage resources, individual species, and overall biodiversity (species richness). This approach is modeled after an ecosystems services concept (WRI 2005), except that we examine services (i.e., resources) provided to vertebrate wildlife rather than service provided to the human population. SEGAP predicts species that are potentially present in an area given landscape-scale habitat availability, configuration, and context (e.g., patch size, proximity to resources, connectivity, potential for disturbance). Based on the prediction of species that may be potentially present, the impacts of management decisions within fields and around their borders can be analyzed based on the impact of those practices to the availability of species’ resources. The final metric provides an index of a producer’s relative impact, but perhaps even more importantly, the underlying database allows producers to explore details such as which species are most impacted or how alternative decisions would impact their score.&nbsp;</p>","language":"English","publisher":"North Carolina Agricultral Research Service, College of Agriculture and Life Sciences, North Carolina State University","usgsCitation":"Drew, C.A., Alexander-Vaughn, L.B., Collazo, J., McKerrow, A., and Anderson, J., 2013, Developing an outcome-based biodiversity metric in support of the field to market project: Final report: Technical Bulletin 334, 28 p.","productDescription":"28 p.","ipdsId":"IP-046155","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":350596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350595,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.basic.ncsu.edu/eda/downloads/BiodiversityReport_Text.pdf"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac9e4b06e28e9c9a91e","contributors":{"authors":[{"text":"Drew, C. Ashton","contributorId":140953,"corporation":false,"usgs":false,"family":"Drew","given":"C.","email":"","middleInitial":"Ashton","affiliations":[],"preferred":false,"id":725790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander-Vaughn, Louise B.","contributorId":199257,"corporation":false,"usgs":false,"family":"Alexander-Vaughn","given":"Louise","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":713802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":725792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, John","contributorId":8763,"corporation":false,"usgs":true,"family":"Anderson","given":"John","affiliations":[],"preferred":false,"id":725793,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187378,"text":"70187378 - 2013 - Land-use and land-cover change in three corn belt ecoregions: Similarities and differences","interactions":[],"lastModifiedDate":"2018-03-08T12:53:38","indexId":"70187378","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5381,"text":"Focus on Geography","active":true,"publicationSubtype":{"id":10}},"title":"Land-use and land-cover change in three corn belt ecoregions: Similarities and differences","docAbstract":"<p><span>Land use categorical changes, though not as numerous as one might suspect, vary by type within the three designated ecozones of the Corn Belt with the westernmost zone showing the most temporary change vis-a-vis the more permanent changes taking place in the eastern and central zones.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/foge.12022","usgsCitation":"Auch, R.F., Laingen, C.R., Drummond, M.A., Sayler, K., Reker, R.R., Bouchard, M.A., and Danielson, J.J., 2013, Land-use and land-cover change in three corn belt ecoregions: Similarities and differences: Focus on Geography, v. 56, no. 4, p. 135-143, https://doi.org/10.1111/foge.12022.","productDescription":"9 p.","startPage":"135","endPage":"143","ipdsId":"IP-049913","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":502664,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://thekeep.eiu.edu/geoscience_fac/13","text":"External Repository"},{"id":340655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"59084934e4b0fc4e448ffd90","contributors":{"authors":[{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":693655,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laingen, Chris R.","contributorId":191626,"corporation":false,"usgs":false,"family":"Laingen","given":"Chris","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":693656,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drummond, Mark A. 0000-0001-7420-3503 madrummond@usgs.gov","orcid":"https://orcid.org/0000-0001-7420-3503","contributorId":3053,"corporation":false,"usgs":true,"family":"Drummond","given":"Mark","email":"madrummond@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693657,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":693658,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reker, Ryan R. 0000-0001-7524-0082 rreker@usgs.gov","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":174136,"corporation":false,"usgs":true,"family":"Reker","given":"Ryan","email":"rreker@usgs.gov","middleInitial":"R.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":693659,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouchard, Michelle A. 0000-0002-6353-3491","orcid":"https://orcid.org/0000-0002-6353-3491","contributorId":191628,"corporation":false,"usgs":false,"family":"Bouchard","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693660,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":693661,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70187166,"text":"70187166 - 2013 - Regional assessment of North America: Urbanization trends, biodiversity patterns, and ecosystem services","interactions":[],"lastModifiedDate":"2017-04-25T14:27:55","indexId":"70187166","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Regional assessment of North America: Urbanization trends, biodiversity patterns, and ecosystem services","docAbstract":"<p><span>North America contains some of the most urbanized landscapes in the world. In the United States (U.S.) and Canada, approximately 80 % of the population is urban, with Mexico slightly less (Kaiser Family Foundation 2013). Population growth combined with economic growth has fueled recent urban land expansion in North America. Between 1970 and 2000, urban land area expanded at a rate of 3.31 % (Seto et al. 2011) creating unique challenges for conserving biodiversity and maintaining regional and local ecosystem services.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Urbanization, biodiversity and ecosystem services: Challenges and opportunities","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-007-7088-1_14","usgsCitation":"McPhearson, T., Auch, R.F., and Alberti, M., 2013, Regional assessment of North America: Urbanization trends, biodiversity patterns, and ecosystem services, chap. <i>of</i> Urbanization, biodiversity and ecosystem services: Challenges and opportunities, p. 279-286, https://doi.org/10.1007/978-94-007-7088-1_14.","productDescription":"8 p.","startPage":"279","endPage":"286","ipdsId":"IP-049275","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-94-007-7088-1_14","text":"Publisher Index Page"},{"id":340315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-05","publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5ddff","contributors":{"authors":[{"text":"McPhearson, Timon","contributorId":191393,"corporation":false,"usgs":false,"family":"McPhearson","given":"Timon","email":"","affiliations":[],"preferred":false,"id":692893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":692892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alberti, Marina","contributorId":191394,"corporation":false,"usgs":false,"family":"Alberti","given":"Marina","email":"","affiliations":[],"preferred":false,"id":692894,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187168,"text":"70187168 - 2013 - Book review: Too hot to touch: The problem of high-level nuclear waste, by William M. Alley and Rosemarie Alley (Cambridge University Press, 2013)","interactions":[],"lastModifiedDate":"2017-04-25T15:15:49","indexId":"70187168","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Too hot to touch: The problem of high-level nuclear waste, by William M. Alley and Rosemarie Alley (Cambridge University Press, 2013)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10040-013-1028-6","usgsCitation":"Konikow, L.F., 2013, Book review: Too hot to touch: The problem of high-level nuclear waste, by William M. Alley and Rosemarie Alley (Cambridge University Press, 2013): Hydrogeology Journal, v. 21, no. 8, p. 1909-1910, https://doi.org/10.1007/s10040-013-1028-6.","productDescription":"2 p.","startPage":"1909","endPage":"1910","ipdsId":"IP-049197","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-09-15","publicationStatus":"PW","scienceBaseUri":"59006066e4b0e85db3a5ddfd","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":692897,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70187704,"text":"70187704 - 2013 - An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD","interactions":[],"lastModifiedDate":"2018-03-08T13:04:32","indexId":"70187704","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD","docAbstract":"<p><span>Characterizing and quantifying distributions of shrubland ecosystem components is one of the major challenges for monitoring shrubland vegetation cover change across the United States. A new approach has been developed to quantify shrubland components as fractional products within National Land Cover Database (NLCD). This approach uses remote sensing data and regression tree models to estimate the fractional cover of shrubland ecosystem components. The approach consists of three major steps: field data collection, high resolution estimates of shrubland ecosystem components using WorldView-2 imagery, and coarse resolution estimates of these components across larger areas using Landsat imagery. This research seeks to explore this method to quantify shrubland ecosystem components as continuous fields in regions that contain wide-ranging shrubland ecosystems. Fractional cover of four shrubland ecosystem components, including bare ground, herbaceous, litter, and shrub, as well as shrub heights, were delineated in three ecological regions in Arizona, Florida, and Texas. Results show that estimates for most components have relatively small normalized root mean square errors and significant correlations with validation data in both Arizona and Texas. The distribution patterns of shrub height also show relatively high accuracies in these two areas. The fractional cover estimates of shrubland components, except for litter, are not well represented in the Florida site. The research results suggest that this method provides good potential to effectively characterize shrubland ecosystem conditions over perennial shrubland although it is less effective in transitional shrubland. The fractional cover of shrub components as continuous elements could offer valuable information to quantify biomass and help improve thematic land cover classification in arid and semiarid areas.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2013.09.009","usgsCitation":"Xian, G.Z., Homer, C.G., Meyer, D., and Granneman, B.J., 2013, An approach for characterizing the distribution of shrubland ecosystem components as continuous fields as part of NLCD: ISPRS Journal of Photogrammetry and Remote Sensing, v. 86, p. 136-149, https://doi.org/10.1016/j.isprsjprs.2013.09.009.","productDescription":"14 p.","startPage":"136","endPage":"149","ipdsId":"IP-046020","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Florida, Texas","volume":"86","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591abe39e4b0a7fdb43c8c01","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":695182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Debbie 0000-0002-8841-697X debbie.meyer.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":192028,"corporation":false,"usgs":true,"family":"Meyer","given":"Debbie","email":"debbie.meyer.ctr@usgs.gov","affiliations":[],"preferred":false,"id":695180,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Granneman, Brian J. 0000-0002-1910-0955 grann@usgs.gov","orcid":"https://orcid.org/0000-0002-1910-0955","contributorId":4209,"corporation":false,"usgs":true,"family":"Granneman","given":"Brian","email":"grann@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":695181,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70148143,"text":"70148143 - 2013 - Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","interactions":[],"lastModifiedDate":"2015-05-27T13:54:35","indexId":"70148143","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma","docAbstract":"<p><span>We estimated survival rates of discarded black sea bass (</span><i>Centropristis striata</i><span>) in various release conditions using tag&ndash;recapture data. Fish were captured with traps and hook and line from waters 29&ndash;34 m deep off coastal North Carolina, USA, marked with internal anchor tags, and observed for release condition. Fish tagged on the bottom using SCUBA served as a control group. Relative return rates for trap-caught fish released at the surface versus bottom provided an estimated survival rate of 0.87 (95% credible interval 0.67&ndash;1.18) for surface-released fish. Adjusted for results from the underwater tagging experiment, fish with evidence of external barotrauma had a median survival rate of 0.91 (0.69&ndash;1.26) compared with 0.36 (0.17&ndash;0.67) for fish with hook trauma and 0.16 (0.08&ndash;0.30) for floating or presumably dead fish. Applying these condition-specific estimates of survival to non-tagging fishery data, we estimated a discard survival rate of 0.81 (0.62&ndash;1.11) for 11 hook and line data sets from waters 20&ndash;35 m deep and 0.86 (0.67&ndash;1.17) for 10 trap data sets from waters 11&ndash;29 m deep. The tag-return approach using a control group with no fishery-associated trauma represents a method to accurately estimate absolute discard survival of physoclistous reef species.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2013-0337","usgsCitation":"Rudershausen, P.J., Buckel, J.A., and Hightower, J.E., 2013, Estimating reef fish discard mortality using surface and bottom tagging: effects of hook injury and barotrauma: Canadian Journal of Fisheries and Aquatic Sciences, v. 71, no. 4, p. 514-520, https://doi.org/10.1139/cjfas-2013-0337.","productDescription":"7 p.","startPage":"514","endPage":"520","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050975","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Onslow 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,{"id":70186702,"text":"70186702 - 2013 - Mineral resource of the month: Phosphate rock","interactions":[],"lastModifiedDate":"2017-04-07T13:00:16","indexId":"70186702","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1419,"text":"Earth","active":true,"publicationSubtype":{"id":10}},"title":"Mineral resource of the month: Phosphate rock","docAbstract":"<p><span>As a mineral resource, “phosphate rock” is defined as unprocessed ore and processed concentrates that contain some form of apatite, a group of calcium phosphate minerals that is the primary source for phosphorus in phosphate fertilizers, which are vital to agriculture.</span></p>","language":"English","publisher":"AGI","usgsCitation":"Jasinski, S.M., 2013, Mineral resource of the month: Phosphate rock: Earth, v. December 2013, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-051724","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339416,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-phosphate-rock"},{"id":339438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"December 2013","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a545e4b09da6799d63b9","contributors":{"authors":[{"text":"Jasinski, Stephen M. sjasinsk@usgs.gov","contributorId":2735,"corporation":false,"usgs":true,"family":"Jasinski","given":"Stephen","email":"sjasinsk@usgs.gov","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690316,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173504,"text":"70173504 - 2013 - Evidence of Hybridization between Common Gartersnakes (<i>Thamnophis sirtalis</i>) and Butler’s Gartersnakes (<i>Thamnophis butleri</i>) in Wisconsin (USA).","interactions":[],"lastModifiedDate":"2016-06-16T16:43:33","indexId":"70173504","displayToPublicDate":"2013-12-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of Hybridization between Common Gartersnakes (<i>Thamnophis sirtalis</i>) and Butler’s Gartersnakes (<i>Thamnophis butleri</i>) in Wisconsin (USA).","docAbstract":"<p><span>Snakes within the genus&nbsp;</span><i>Thamnophis</i><span>&nbsp;(Gartersnakes and Ribbonsnakes) are often found in sympatry throughout their geographic distributions. Past work has indicated that some sympatric species within this genus may hybridize, but research of this nature is limited. We attempted to determine whether hybridization occurs between two&nbsp;</span><i>Thamnophis</i><span>&nbsp;species native to the upper midwestern United States: Common Gartersnake (</span><i><i>Thamnophis sirtalis</i></i><span>) and the Butler's Gartersnake (</span><i>Thamnophis butleri</i><span>). We sampled snakes (</span><i>n</i><span>&nbsp;= 411) across 26 locations in Wisconsin, including sites where both species coexist and sites where only Common Gartersnakes are found. We conducted genetic analyses on tissue collected from individuals field-identified as Common Gartersnakes or Butler's Gartersnakes. To verify the results of our field-collected data, we analyzed tissues from juvenile snakes (</span><i>n</i><span>&nbsp;= 4) suspected to be the offspring of a Common Gartersnake and a Butler's Gartersnake that were housed together in a captive situation. Of the field-collected snakes analyzed, eight snakes were consistent with expected Common &times; Butler's Gartersnake hybrids. All four of the captive offspring analyzed resolved as putative hybrids, corresponding with our field-collected samples. Butler's Gartersnake is a globally rare species, endemic only to the upper midwestern United States. Studies involving the potential for hybridization between common and uncommon species are useful from a conservation perspective. The low incidence of hybridization we observed would indicate that hybridization between these species is uncommon. Further research investigating rates of hybridization would help assess any potential threat posed by outbreeding between common and rare gartersnakes in this region of the United States.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","publisherLocation":"Riverside, CA","doi":"10.1670/12-057","usgsCitation":"Joshua M. Kapfer, Sloss, B.L., Gregor W. Schuurman, Paloski, R.A., and Jeffrey M. 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Schuurman","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paloski, Rori A.","contributorId":171368,"corporation":false,"usgs":false,"family":"Paloski","given":"Rori","email":"","middleInitial":"A.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":637216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jeffrey M. Lorch","contributorId":150036,"corporation":false,"usgs":false,"family":"Jeffrey M. Lorch","affiliations":[{"id":17895,"text":"University of Wisconsin-Madison, School of Veterinary Medicine, 2015 Linden Drive, Madison, Wisconsin 53706, USA","active":true,"usgs":false}],"preferred":false,"id":637214,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70048347,"text":"70048347 - 2013 - ASARCO Incorporated’s Car Project, 1990-94, western Gabbs Valley, Mineral Co., Nevada: precious metal exploration transitioned to geothermal exploration","interactions":[],"lastModifiedDate":"2023-05-26T16:04:17.216811","indexId":"70048347","displayToPublicDate":"2013-11-30T11:04:58","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"ASARCO Incorporated’s Car Project, 1990-94, western Gabbs Valley, Mineral Co., Nevada: precious metal exploration transitioned to geothermal exploration","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal and petroleum developments in several extensional basins of the central Walker Lane, Nevada: Nevada Petroleum and Geothermal Society 2013 field trip guidebook","language":"English","publisher":"Nevada Petroleum and Geothermal Society","usgsCitation":"Vikre, P., and Koutz, F., 2013, ASARCO Incorporated’s Car Project, 1990-94, western Gabbs Valley, Mineral Co., Nevada: precious metal exploration transitioned to geothermal exploration, chap. <i>of</i> Geothermal and petroleum developments in several extensional basins of the central Walker Lane, Nevada: Nevada Petroleum and Geothermal Society 2013 field trip guidebook, p. 29-32.","productDescription":"4 p.","startPage":"29","endPage":"32","ipdsId":"IP-050063","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":280813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356511,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.nbmg.unr.edu/Geoth-petr-central-Walker-Lane-CD-p/nps24c.htm"}],"country":"United States","state":"Nevada","county":"Mineral County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -119.1546,37.893 ], [ -119.1546,39.0753 ], [ -117.6896,39.0753 ], [ -117.6896,37.893 ], [ -119.1546,37.893 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4adfe4b0b290850f0075","contributors":{"editors":[{"text":"Garside, Larry J.","contributorId":111786,"corporation":false,"usgs":false,"family":"Garside","given":"Larry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":509611,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Vikre, Peter G. pvikre@usgs.gov","contributorId":1800,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter G.","email":"pvikre@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":484359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koutz, Fleetwood","contributorId":30902,"corporation":false,"usgs":true,"family":"Koutz","given":"Fleetwood","affiliations":[],"preferred":false,"id":484358,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70123836,"text":"70123836 - 2013 - Multiple factors affect a population of Agassiz's desert tortoise (<i>Gopherus agassizii</i>) in the Northwestern Mojave Desert","interactions":[],"lastModifiedDate":"2014-09-09T14:30:55","indexId":"70123836","displayToPublicDate":"2013-11-28T14:28:28","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1896,"text":"Herpetological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Multiple factors affect a population of Agassiz's desert tortoise (<i>Gopherus agassizii</i>) in the Northwestern Mojave Desert","docAbstract":"Numerous factors have contributed to declines in populations of the federally threatened Agassiz's Desert Tortoise (<i>Gopherus agassizii</i>) and continue to limit recovery. In 2010, we surveyed a low-density population on a military test facility in the northwestern Mojave Desert of California, USA, to evaluate population status and identify potential factors contributing to distribution and low densities. Estimated densities of live tortoises ranged spatially from 1.2/km<sup>2</sup> to 15.1/km<sup>2</sup>. Although only one death of a breeding-age tortoise was recorded for the 4-yr period prior to the survey, remains of 16 juvenile and immature tortoises were found, and most showed signs of predation by Common Ravens (<i>Corvus corax</i>) and mammals. Predation may have limited recruitment of young tortoises into the adult size classes. To evaluate the relative importance of different types of impacts to tortoises, we developed predictive models for spatially explicit densities of tortoise sign and live tortoises using topography (i.e., slope), predators (Common Raven, signs of mammalian predators), and anthropogenic impacts (distances from paved road and denuded areas, density of ordnance fragments) as covariates. Models suggest that densities of tortoise sign increased with slope and signs of mammalian predators and decreased with Common Ravens, while also varying based on interaction effects involving these predictors as well as distances from paved roads, denuded areas, and ordnance. Similarly, densities of live tortoises varied by interaction effects among distances to denuded areas and paved roads, density of ordnance fragments, and slope. Thus multiple factors predict the densities and distribution of this population.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Herpetological Monographs","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Herpetologists' League","publisherLocation":"Washington, D.C.","doi":"10.1655/HERPMONOGRAPHS-D-13-00002","usgsCitation":"Berry, K.H., Yee, J.L., Coble, A., Perry, W.M., and Shields, T., 2013, Multiple factors affect a population of Agassiz's desert tortoise (<i>Gopherus agassizii</i>) in the Northwestern Mojave Desert: Herpetological Monographs, v. 27, no. 1, p. 87-109, https://doi.org/10.1655/HERPMONOGRAPHS-D-13-00002.","productDescription":"23 p.","startPage":"87","endPage":"109","numberOfPages":"23","ipdsId":"IP-051403","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":293552,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1655/HERPMONOGRAPHS-D-13-00002"}],"country":"United States","state":"California;Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.9789,34.1607 ], [ -117.9789,37.5219 ], [ -114.7254,37.5219 ], [ -114.7254,34.1607 ], [ -117.9789,34.1607 ] ] ] } } ] }","volume":"27","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5410146de4b07ab1cd980a50","contributors":{"authors":[{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500364,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500365,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coble, Ashley A.","contributorId":30551,"corporation":false,"usgs":true,"family":"Coble","given":"Ashley A.","affiliations":[],"preferred":false,"id":500367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, William M. 0000-0002-6180-8180 wmperry@usgs.gov","orcid":"https://orcid.org/0000-0002-6180-8180","contributorId":5124,"corporation":false,"usgs":true,"family":"Perry","given":"William","email":"wmperry@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shields, Timothy A.","contributorId":67424,"corporation":false,"usgs":true,"family":"Shields","given":"Timothy A.","affiliations":[],"preferred":false,"id":500368,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193157,"text":"70193157 - 2013 - Public lakes, private lakeshore: Modeling protection of native aquatic plants","interactions":[],"lastModifiedDate":"2017-12-05T10:27:39","indexId":"70193157","displayToPublicDate":"2013-11-28T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Public lakes, private lakeshore: Modeling protection of native aquatic plants","docAbstract":"<p><span>Protection of native aquatic plants is an important proenvironmental behavior, because plant loss coupled with nutrient loading can produce changes in lake ecosystems. Removal of aquatic plants by lakeshore property owners is a diffuse behavior that may lead to cumulative impacts on lake ecosystems. This class of behavior is challenging to manage because collective impacts are not obvious to the actors. This paper distinguishes positive and negative beliefs about aquatic plants, in models derived from norm activation theory (Schwartz, Adv Exp Soc Psychol 10:221–279, 1977</span><span>) and the theory of reasoned action (Fishbein and Ajzen, Belief, attitude, intention, and behavior: an introduction to theory and research, Addison-Wesley, Boston<span> 1975</span></span><span>), to examine protection of native aquatic plants by Minnesota lakeshore property owners. We clarify how positive and negative evaluations of native aquatic plants affect protection or removal of these plants. Results are based on a mail survey (</span><i class=\"EmphasisTypeItalic \">n</i><span>&nbsp;=&nbsp;3,115). Results suggest that positive evaluations of aquatic plants (i.e., as valuable to lake ecology) may not connect with the global attitudes and behavioral intentions that direct plant protection or removal. Lakeshore property owners’ behavior related to aquatic plants may be driven more by tangible personal benefits derived from accessible, carefully managed lakeshore than intentional action taken to sustain lake ecosystems. The limited connection of positive evaluations of aquatic plants to global attitudes and behavioral intentions may reflect either lack of knowledge of what actions are needed to protect lake health and/or unwillingness to lose perceived benefits derived from lakeshore property.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-013-0054-4","usgsCitation":"Schroeder, S., and Fulton, D.C., 2013, Public lakes, private lakeshore: Modeling protection of native aquatic plants: Environmental Management, v. 52, no. 1, p. 99-112, https://doi.org/10.1007/s00267-013-0054-4.","productDescription":"13 p.","startPage":"99","endPage":"112","ipdsId":"IP-019500","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":349655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"52","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2013-04-23","publicationStatus":"PW","scienceBaseUri":"5a61029ce4b06e28e9c25472","contributors":{"authors":[{"text":"Schroeder, Susan A.","contributorId":201106,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan A.","affiliations":[],"preferred":false,"id":724355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":718105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70057785,"text":"ofr20131278 - 2013 - Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","interactions":[],"lastModifiedDate":"2016-12-08T16:45:04","indexId":"ofr20131278","displayToPublicDate":"2013-11-27T11:11:04","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1278","title":"Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013","docAbstract":"This compendium of papers describes results of hydrologic monitoring and hydrologic and environmental studies completed by the U.S. Geological Survey (USGS) in Georgia during 2011–2013. The USGS addresses a wide variety of water issues in the State of Georgia working with local, State, and Federal partners. As the primary Federal science agency for water resource information, the USGS monitors the quantity and quality of water in the Nation’s rivers and aquifers, assesses the sources and fate of contaminants in aquatic systems, collects and analyzes data on aquatic ecosystems, develops tools to improve the application of hydrologic information, and ensures that its information and tools are available to all potential users. During 2011–2013, the USGS continued a long-term program of monitoring stream and groundwater resources, including flow, water quality, and water use. In addition, a variety of hydrologic and environmental studies were completed to assess water availability, hydrologic hazards, and the impact of development on water resources. Information on USGS activities in Georgia is available online at <a href=\" http://ga.water.usgs.gov/\" target=\"_blank\"> http://ga.water.usgs.gov/</a>.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131278","usgsCitation":"Clarke, J.S., and Dalton, M., 2013, Hydrologic monitoring and selected hydrologic and environmental studies by the U.S. Geological Survey in Georgia, 2011–2013: U.S. Geological Survey Open-File Report 2013-1278, v, 73 p., https://doi.org/10.3133/ofr20131278.","productDescription":"v, 73 p.","numberOfPages":"84","onlineOnly":"Y","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":279865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131278.jpg"},{"id":279864,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1278/pdf/of2013-1278.pdf"},{"id":279863,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1278/"}],"scale":"150000","country":"United States","state":"Georgia","otherGeospatial":"Savannah River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.25,32 ], [ -81.25,32.3 ], [ -80.833,32.3 ], [ -80.833,32 ], [ -81.25,32 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716d5e4b08e44bf66fb80","contributors":{"authors":[{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalton, Melinda J. (compiler)","contributorId":38460,"corporation":false,"usgs":true,"family":"Dalton","given":"Melinda J.","suffix":"(compiler)","affiliations":[],"preferred":false,"id":486872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70048377,"text":"sim3269 - 2013 - Flood-inundation maps for the Elkhart River at Goshen, Indiana","interactions":[],"lastModifiedDate":"2013-11-27T11:05:42","indexId":"sim3269","displayToPublicDate":"2013-11-27T10:43:47","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3269","title":"Flood-inundation maps for the Elkhart River at Goshen, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the Indiana Office of Community and Rural Affairs, created digital flood-inundation maps for an 8.3-mile reach of the Elkhart River at Goshen, Indiana, extending from downstream of the Goshen Dam to downstream from County Road 17. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at <a href=\"http://water.usgs.gov/osw/flood_inundation/\" target=\"_blank\">http://water.usgs.gov/osw/flood_inundation/</a>, depict estimates of the areal extent and depth of flooding corresponding to nine selected water levels (stages) at the USGS streamgage at Elkhart River at Goshen (station number 04100500). Current conditions for the USGS streamgages in Indiana may be obtained on the Internet at <a href=\"http://waterdata.usgs.gov/\" target=\"_blank\">http://waterdata.usgs.gov/</a>. In addition, stream stage data have been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system <a href=\"http://water.weather.gov/ahps/\" target=\"_blank\">(http://water.weather.gov/ahps/)</a>. The NWS forecasts flood hydrographs at many places that are often colocated with USGS streamgages. NWS-forecasted peak-stage information may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Elkhart River at Goshen streamgage. The hydraulic model was then used to compute nine water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (5 ft) to greater than the highest recorded water level (13 ft). The simulated water-surface profiles were then combined with a geographic information system (GIS) digital-elevation model (DEM), derived from Light Detection and Ranging (LiDAR) data having a 0.37-ft vertical accuracy and 3.9-ft horizontal resolution in order to delineate the area flooded at each water level. The availability of these maps, along with Internet information regarding current stage from USGS streamgages and forecasted stream stages from the NWS, provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures as well as for postflood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3269","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Strauch, K.R., 2013, Flood-inundation maps for the Elkhart River at Goshen, Indiana: U.S. Geological Survey Scientific Investigations Map 3269, Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory, https://doi.org/10.3133/sim3269.","productDescription":"Pamphlet: vi, 7 p.; Map sheets JPEG and PDF; Downloads Directory","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-042153","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":279862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3269.jpg"},{"id":279860,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3269/downloads/mapsheets/pdf/"},{"id":279861,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3269/downloads/"},{"id":279859,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3269/pdf/sim3269-pamphlet.pdf"},{"id":279314,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3269/"}],"projection":"Indiana State Plane Eastern Zone","datum":"North American Datum of 1983","country":"United States","state":"Indiana","otherGeospatial":"Elkhart River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.9,41.5583 ], [ -85.9,41.625 ], [ -85.83,41.625 ], [ -85.83,41.5583 ], [ -85.9,41.5583 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"529716b9e4b08e44bf66fb7d","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":484482,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70048921,"text":"ds797 - 2013 - Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","interactions":[],"lastModifiedDate":"2015-06-04T11:37:06","indexId":"ds797","displayToPublicDate":"2013-11-26T14:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"797","title":"Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009","docAbstract":"<p>Surface-water, groundwater, and suspended- and bedsediment samples were collected in three targeted-use areas in the United States where potatoes were grown during 2009 and analyzed for an extensive suite of fungicides and other pesticides by gas chromatograph/mass spectrometry and liquid chromatography with tandem mass spectrometry. Fungicides were detected in all environmental matrices sampled during the study. The most frequently detected fungicides were azoxystrobin, boscalid, chlorothalonil, and pyraclostrobin. Other pesticides that were detected frequently included amino phosphonic acid (AMPA), atrazine, metolaclor, and the organochlorine insecticide p,p&rsquo;-DDT and its degradates p,p&rsquo;-DDD and p,p&rsquo;-DDE. A greater number of pesticides were detected in surface water relative to the other environmental matrices sampled, and at least one pesticide was detected in 62 of the 63 surfacewater samples. The greatest numbers of pesticides and the maximum observed concentrations for most pesticides were measured in surface-water samples from Idaho. In eight surface- water samples (six from Idaho and two from Wisconsin), concentrations of bifenthrin, metolachlor, or malathion exceeded U.S. Environmental Protection Agency freshwater aquatic-life benchmarks for chronic toxicity to invertebrates. Thirteen pesticides, including seven fungicides, were detected in groundwater samples. Shallow groundwater samples collected beneath recently harvested potato fields contained more pesticides and had higher concentrations of pesticides than samples collected from other groundwater sources sampled during the study. Generally, pesticide concentrations were lower in groundwater samples than in surfacewater or sediment samples, with the exception of the fungicide boscalid, which was found to have its highest concentration in a shallow groundwater sample collected in Wisconsin. Thirteen pesticides, including four fungicides, were detected in suspended-sediment samples. The most frequently detected compounds were the fungicides boscalid, pyraclostrobin, and zoxamide, and the degradates p,p&rsquo;-DDD and p,p&rsquo;-DDE. Twenty pesticides, including six fungicides, were detected in bed-sediment samples. The most frequently detected compounds were pyraclostrobin, p,p&rsquo;-DDT, p,p&rsquo;-DDD, and p,p&rsquo;-DDE.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds797","issn":"2327-698X","usgsCitation":"Orlando, J., Smalling, K., Reilly, T.J., Boehlke, A., Meyer, M.T., and Kuivila, K., 2013, Occurrence of fungicides and other pesticides in surface water, groundwater, and sediment from three targeted-use areas in the United States, 2009: U.S. Geological Survey Data Series 797, viii, 73 p., https://doi.org/10.3133/ds797.","productDescription":"viii, 73 p.","numberOfPages":"85","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-023568","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":279851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds797.jpg"},{"id":279850,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/797/pdf/ds797.pdf"},{"id":279839,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/797/"}],"country":"United States","state":"Idaho;Maine;Wisconsin","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c300e4b0becc369c7cff","contributors":{"authors":[{"text":"Orlando, James L. 0000-0002-0099-7221","orcid":"https://orcid.org/0000-0002-0099-7221","contributorId":95954,"corporation":false,"usgs":true,"family":"Orlando","given":"James L.","affiliations":[],"preferred":false,"id":485820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":485819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":485818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":485815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuivila, Kathryn  0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485816,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70049034,"text":"ofr20131256 - 2013 - Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010","interactions":[],"lastModifiedDate":"2013-11-26T14:18:10","indexId":"ofr20131256","displayToPublicDate":"2013-11-26T14:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1256","title":"Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010","docAbstract":"Since 1999, the U.S. Geological Survey and the National Park Service have been monitoring land use and nitrogen loading in a 26.3-square-kilometer (10-square-mile) estuarine watershed at Acadia National Park, Mount Desert Island, Maine. The initial study linking land use and nitrogen loads entering the Northeast Creek estuary was completed in 2000, and findings were used to develop simulations of nitrogen loading to the estuary, thereby helping to inform local land-use planning decisions. At that time, the amount of nitrogen entering the Northeast Creek estuary was relatively small, and no evidence of nutrient-related degradation was observed in the <i>Ruppia</i>-dominated estuarine ecosystem. A new round of water-quality monitoring and streamflow measurements was conducted to determine nitrogen loading from 2008 to 2011 as a means to evaluate the effects of increased rural residential housing within the watershed since 2000. On the basis of a 2.6-percent increase in residential-housing land use in the watershed from 2000 to 2010, simulations of nitrogen export predicted a 7-percent increase in nitrogen loading to Northeast Creek. The measurement-based loads estimated for the Northeast Creek tributaries, however, increased much more than predicted, from 1.89 kilograms per hectare per year (kg/ha/yr) in 2000 to 3.12 kg/ha/yr in the time period centered on 2010—a 66-percent increase. This increase is likely primarily a result of the prevalence of much wetter conditions during the 2008–11 sampling period than during the earlier sampling period. In addition to increasing the physical transport of nitrogen in the watershed, wet climatic conditions have been shown in other studies to increase the rates of biotic and abiotic processes that control nitrogen export from northern-latitude forested watersheds. The new loading estimates, however, also support the possibility that some portion of the increase in nitrogen loading results from the observed land-use changes, and that the increase in residential housing has, in fact, contributed to the observed increase in nitrogen loading.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131256","collaboration":"Prepared in cooperation with the National Park Service and the Town of Bar Harbor, Maine","usgsCitation":"Nielsen, M.G., 2013, Changes in nitrogen loading to the Northeast Creek Estuary, Bar Harbor, Maine, 2000 to 2010: U.S. Geological Survey Open-File Report 2013-1256, Report: vi, 33 p.; Table, https://doi.org/10.3133/ofr20131256.","productDescription":"Report: vi, 33 p.; Table","numberOfPages":"43","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-049637","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":279847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131256.jpg"},{"id":279843,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1256/"},{"id":279844,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1256/pdf/ofr2013-1256.pdf"},{"id":279845,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2013/1256/pdf/ofr2013-1256_table2.pdf"}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Maine","city":"Bar Harbor","otherGeospatial":"Acadia National Park;Mount Desert Island;Northeast Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -68.339767,44.372828 ], [ -68.339767,44.44383 ], [ -68.232393,44.44383 ], [ -68.232393,44.372828 ], [ -68.339767,44.372828 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2e2e4b0becc369c7c1b","contributors":{"authors":[{"text":"Nielsen, Martha G. 0000-0003-3038-9400 mnielsen@usgs.gov","orcid":"https://orcid.org/0000-0003-3038-9400","contributorId":4169,"corporation":false,"usgs":true,"family":"Nielsen","given":"Martha","email":"mnielsen@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486060,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70057584,"text":"70057584 - 2013 - First evidence of grass carp recruitment in the Great Lakes Basin","interactions":[],"lastModifiedDate":"2013-11-26T11:31:34","indexId":"70057584","displayToPublicDate":"2013-11-26T11:26:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"First evidence of grass carp recruitment in the Great Lakes Basin","docAbstract":"We use aging techniques, ploidy analysis, and otolith microchemistry to assess whether four grass carp Ctenopharyngodon idella captured from the Sandusky River, Ohio were the result of natural reproduction within the Lake Erie Basin. All four fish were of age 1 +. Multiple lines of evidence indicate that these fish were not aquaculture-reared and that they were most likely the result of successful reproduction in the Sandusky River. First, at least two of the fish were diploid; diploid grass carp cannot legally be released in the Great Lakes Basin. Second, strontium:calcium (Sr:Ca) ratios were elevated in all four grass carp from the Sandusky River, with elevated Sr:Ca ratios throughout the otolith transect, compared to grass carp from Missouri and Arkansas ponds. This reflects the high Sr:Ca ratio of the Sandusky River, and indicates that these fish lived in a high-strontium environment throughout their entire lives. Third, Sandusky River fish were higher in Sr:Ca ratio variability than fish from ponds, reflecting the high but spatially and temporally variable strontium concentrations of southwestern Lake Erie tributaries, and not the stable environment of pond aquaculture. Fourth, Sr:Ca ratios in the grass carp from the Sandusky River were lower in their 2011 growth increment (a high water year) than the 2012 growth increment (a low water year), reflecting the observed inverse relationship between discharge and strontium concentration in these rivers. We conclude that these four grass carp captured from the Sandusky River are most likely the result of natural reproduction within the Lake Erie Basin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Great Lakes Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2013.09.019","usgsCitation":"Chapman, D., Davis, J.J., Jenkins, J.A., Kocovsky, P., Miner, J.G., Farver, J., and Jackson, P., 2013, First evidence of grass carp recruitment in the Great Lakes Basin: Journal of Great Lakes Research, v. 39, no. 4, p. 547-554, https://doi.org/10.1016/j.jglr.2013.09.019.","productDescription":"8 p.","startPage":"547","endPage":"554","numberOfPages":"8","ipdsId":"IP-046079","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":279798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279797,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jglr.2013.09.019"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.271531,40.954626 ], [ -83.271531,41.467623 ], [ -82.980588,41.467623 ], [ -82.980588,40.954626 ], [ -83.271531,40.954626 ] ] ] } } ] }","volume":"39","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fde4b0becc369c7cd8","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":486811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, J. Jeremiah hdavis@usgs.gov","contributorId":60944,"corporation":false,"usgs":true,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Jeremiah","affiliations":[],"preferred":false,"id":486815,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"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":486812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M.","contributorId":89381,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick M.","affiliations":[],"preferred":false,"id":486817,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miner, Jeffrey G.","contributorId":20645,"corporation":false,"usgs":true,"family":"Miner","given":"Jeffrey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":486814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farver, John","contributorId":18670,"corporation":false,"usgs":true,"family":"Farver","given":"John","affiliations":[],"preferred":false,"id":486813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","affiliations":[],"preferred":false,"id":486816,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70048541,"text":"70048541 - 2013 - Modeling the effects of fire severity and climate warming on active layer and soil carbon dynamics of black spruce forests across the landscape in interior Alaska","interactions":[],"lastModifiedDate":"2013-11-26T14:23:38","indexId":"70048541","displayToPublicDate":"2013-11-26T11:19:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of fire severity and climate warming on active layer and soil carbon dynamics of black spruce forests across the landscape in interior Alaska","docAbstract":"There is a substantial amount of carbon stored in the permafrost soils of boreal forest ecosystems, where it is currently protected from decomposition. The surface organic horizons insulate the deeper soil from variations in atmospheric temperature. The removal of these insulating horizons through consumption by fire increases the vulnerability of permafrost to thaw, and the carbon stored in permafrost to decomposition. In this study we ask how warming and fire regime may influence spatial and temporal changes in active layer and carbon dynamics across a boreal forest landscape in interior Alaska. To address this question, we (1) developed and tested a predictive model of the effect of fire severity on soil organic horizons that depends on landscape-level conditions and (2) used this model to evaluate the long-term consequences of warming and changes in fire regime on active layer and soil carbon dynamics of black spruce forests across interior Alaska. The predictive model of fire severity, designed from the analysis of field observations, reproduces the effect of local topography (landform category, the slope angle and aspect and flow accumulation), weather conditions (drought index, soil moisture) and fire characteristics (day of year and size of the fire) on the reduction of the organic layer caused by fire. The integration of the fire severity model into an ecosystem process-based model allowed us to document the relative importance and interactions among local topography, fire regime and climate warming on active layer and soil carbon dynamics. Lowlands were more resistant to severe fires and climate warming, showing smaller increases in active layer thickness and soil carbon loss compared to drier flat uplands and slopes. In simulations that included the effects of both warming and fire at the regional scale, fire was primarily responsible for a reduction in organic layer thickness of 0.06 m on average by 2100 that led to an increase in active layer thickness of 1.1 m on average by 2100. The combination of warming and fire led to a simulated cumulative loss of 9.6 kgC m<sup>−2</sup> on average by 2100. Our analysis suggests that ecosystem carbon storage in boreal forests in interior Alaska is particularly vulnerable, primarily due to the combustion of organic layer thickness in fire and the related increase in active layer thickness that exposes previously protected permafrost soil carbon to decomposition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/8/4/045016","usgsCitation":"Genet, H., McGuire, A.D., Barrett, K., Breen, A., Euskirchen, E., Johnstone, J., Kasischke, E., Melvin, A., Bennett, A., Mack, M., Rupp, T., Schuur, A., Turetsky, M., and Yuan, F., 2013, Modeling the effects of fire severity and climate warming on active layer and soil carbon dynamics of black spruce forests across the landscape in interior Alaska: Environmental Research Letters, v. 8, no. 4, 13 p., https://doi.org/10.1088/1748-9326/8/4/045016.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-049470","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":473432,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/8/4/045016","text":"Publisher Index Page"},{"id":279848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279842,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1088/1748-9326/8/4/045016"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.64,63.59 ], [ -150.64,67.71 ], [ -141.02,67.71 ], [ -141.02,63.59 ], [ -150.64,63.59 ] ] ] } } ] }","volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-10-28","publicationStatus":"PW","scienceBaseUri":"5295c2ffe4b0becc369c7cf0","contributors":{"authors":[{"text":"Genet, H.","contributorId":57356,"corporation":false,"usgs":true,"family":"Genet","given":"H.","affiliations":[],"preferred":false,"id":485012,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Anthony D. 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":2493,"corporation":false,"usgs":true,"family":"McGuire","given":"Anthony","email":"ffadm@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":false,"id":485005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrett, K.","contributorId":40318,"corporation":false,"usgs":true,"family":"Barrett","given":"K.","affiliations":[],"preferred":false,"id":485010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breen, A.","contributorId":89435,"corporation":false,"usgs":true,"family":"Breen","given":"A.","email":"","affiliations":[],"preferred":false,"id":485016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Euskirchen, E.S.","contributorId":44737,"corporation":false,"usgs":true,"family":"Euskirchen","given":"E.S.","affiliations":[],"preferred":false,"id":485011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnstone, J.F.","contributorId":9560,"corporation":false,"usgs":true,"family":"Johnstone","given":"J.F.","email":"","affiliations":[],"preferred":false,"id":485007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasischke, E.S.","contributorId":61201,"corporation":false,"usgs":true,"family":"Kasischke","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":485013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Melvin, A.M.","contributorId":39281,"corporation":false,"usgs":true,"family":"Melvin","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":485009,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bennett, A.","contributorId":10320,"corporation":false,"usgs":true,"family":"Bennett","given":"A.","affiliations":[],"preferred":false,"id":485008,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mack, M.C.","contributorId":87238,"corporation":false,"usgs":true,"family":"Mack","given":"M.C.","email":"","affiliations":[],"preferred":false,"id":485015,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rupp, T.S.","contributorId":66904,"corporation":false,"usgs":true,"family":"Rupp","given":"T.S.","email":"","affiliations":[],"preferred":false,"id":485014,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schuur, A.E.G.","contributorId":7169,"corporation":false,"usgs":true,"family":"Schuur","given":"A.E.G.","email":"","affiliations":[],"preferred":false,"id":485006,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turetsky, M.R.","contributorId":107470,"corporation":false,"usgs":true,"family":"Turetsky","given":"M.R.","email":"","affiliations":[],"preferred":false,"id":485018,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yuan, F.","contributorId":104287,"corporation":false,"usgs":true,"family":"Yuan","given":"F.","email":"","affiliations":[],"preferred":false,"id":485017,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70055704,"text":"sir20135172 - 2013 - Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan","interactions":[],"lastModifiedDate":"2013-11-26T10:52:51","indexId":"sir20135172","displayToPublicDate":"2013-11-26T10:45:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5172","title":"Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan","docAbstract":"The U.S. Geological Survey, in cooperation with the Hannahville Indian Community, evaluated the geohydrology of the bedrock formations and hydraulic properties of groundwater-production wells at the Hannahville Indian Community in Menominee County, Michigan. Geophysical logs were collected from five wells at two sites during September 2012. The logs were analyzed to characterize the lithostratigraphy, bedding and fractures, and hydraulic properties of the geologic formations and aquifers beneath the Hannahville Indian Community. The geophysical logs collected included natural gamma radiation, electromagnetic conductivity, wellbore image, caliper, ambient and stressed flowmeter, fluid resistivity, temperature, and wellbore deviation. The geophysical logs were analyzed with results from short-term hydraulic tests to estimate the transmissivity and water-level altitudes of flow zones penetrated by the wells.\n\nThe geophysical log analysis indicated the wells penetrated four distinct lithostratigraphic units—shale and carbonate rock, upper carbonate rock, carbonate rock and glauconitic sandstone, and lower carbonate rock. Most of the fractures penetrated by the wellbores appeared to be related bedding partings. The lower carbonate rock unit contained solution features.\n\nAnalysis of the geophysical logs and hydraulic tests indicated that each of the five wells penetrated from one to four flow zones. The Casino 5 well penetrated a flow zone that was associated with solution features and had an estimated total transmissivity of 4,280 feet squared per day (ft<sup>2</sup>/d), the highest estimate for all the wells. The Casino 3 well penetrated four flow zones and had an estimated total transmissivity of 3,570 ft<sup>2</sup>/d. The flow zones penetrated in the lower carbonate rock unit by the Casino 3 and 5 wells were hydraulically connected. The Golf Shack well penetrated two flow zones and had an estimated total transmissivity of 40 ft<sup>2</sup>/d, the lowest estimate for all the wells. The Community 1 and Community 2 wells penetrated three and four flow zones, respectively, and had estimated total transmissivity values of 185 and 280 ft<sup>2</sup>/d, respectively.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135172","issn":"2328-0328","collaboration":"Prepared in cooperation with the Hannahville Indian Community","usgsCitation":"Bayless, E.R., Anderson, J., Lampe, D.C., and Williams, J., 2013, Geophysical-log and hydraulic-test analyses of groundwater-production wells at the Hannahville Indian Community, Menominee County, Michigan: U.S. Geological Survey Scientific Investigations Report 2013-5172, v, 29 p., https://doi.org/10.3133/sir20135172.","productDescription":"v, 29 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-042431","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":279789,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5172/pdf/sir2013-5172.pdf"},{"id":279790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135172.jpg"},{"id":279788,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5172"}],"country":"United States","state":"Michigan","county":"Menominee County","otherGeospatial":"Hannahville Indian Community","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.5,45.583333 ], [ -87.5,45.833333 ], [ -87.0,45.833333 ], [ -87.0,45.583333 ], [ -87.5,45.583333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fee4b0becc369c7ce1","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J. Alton","contributorId":56724,"corporation":false,"usgs":true,"family":"Anderson","given":"J. Alton","affiliations":[],"preferred":false,"id":486230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486227,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70048493,"text":"70048493 - 2013 - Modeling earthquake rate changes in Oklahoma and Arkansas: possible signatures of induced seismicity","interactions":[],"lastModifiedDate":"2014-05-06T09:00:10","indexId":"70048493","displayToPublicDate":"2013-11-26T10:34:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Modeling earthquake rate changes in Oklahoma and Arkansas: possible signatures of induced seismicity","docAbstract":"The rate of ML≥3 earthquakes in the central and eastern United States increased beginning in 2009, particularly in Oklahoma and central Arkansas, where fluid injection has occurred. We find evidence that suggests these rate increases are man‐made by examining the rate changes in a catalog of ML≥3 earthquakes in Oklahoma, which had a low background seismicity rate before 2009, as well as rate changes in a catalog of ML≥2.2 earthquakes in central Arkansas, which had a history of earthquake swarms prior to the start of injection in 2009. In both cases, stochastic epidemic‐type aftershock sequence models and statistical tests demonstrate that the earthquake rate change is statistically significant, and both the background rate of independent earthquakes and the aftershock productivity must increase in 2009 to explain the observed increase in seismicity. This suggests that a significant change in the underlying triggering process occurred. Both parameters vary, even when comparing natural to potentially induced swarms in Arkansas, which suggests that changes in both the background rate and the aftershock productivity may provide a way to distinguish man‐made from natural earthquake rate changes. In Arkansas we also compare earthquake and injection well locations, finding that earthquakes within 6 km of an active injection well tend to occur closer together than those that occur before, after, or far from active injection. Thus, like a change in productivity, a change in interevent distance distribution may also be an indicator of induced seismicity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130017","usgsCitation":"Llenos, A.L., and Michael, A.J., 2013, Modeling earthquake rate changes in Oklahoma and Arkansas: possible signatures of induced seismicity: Bulletin of the Seismological Society of America, v. 103, no. 5, p. 2850-2861, https://doi.org/10.1785/0120130017.","productDescription":"12 p.","startPage":"2850","endPage":"2861","numberOfPages":"12","ipdsId":"IP-043592","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":279792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279791,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120130017"}],"country":"United States","state":"Arkansas;Oklahoma","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.88,33.03 ], [ -102.88,36.91 ], [ -89.54,36.91 ], [ -89.54,33.03 ], [ -102.88,33.03 ] ] ] } } ] }","volume":"103","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-09-30","publicationStatus":"PW","scienceBaseUri":"5295c2ffe4b0becc369c7ce7","contributors":{"authors":[{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":484833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":484832,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70056026,"text":"ofr20131060 - 2013 - Sea-floor geology and topography offshore in northeastern Long Island Sound","interactions":[],"lastModifiedDate":"2013-11-26T10:11:38","indexId":"ofr20131060","displayToPublicDate":"2013-11-26T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1060","title":"Sea-floor geology and topography offshore in northeastern Long Island Sound","docAbstract":"Datasets of gridded multibeam bathymetry, covering approximately 52.9 square kilometers, were used to interpret character and geology of the sea floor in northeastern Long Island Sound. Although originally collected for charting purposes during National Oceanic and Atmospheric Administration hydrographic survey H12012, these acoustic data and the sea-floor sampling and photography stations subsequently occupied to verify the acoustic data are interpreted (1) to define the composition and terrain of the seabed, (2) to provide information on sediment transport and benthic habitat, and (3) as part of an expanding series of studies that provide a fundamental framework for research and resource management (for example, cables, pipelines, and dredging) activities in this major east coast estuary.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131060","collaboration":"Also available in DVD-ROM format; see <a href=\"http://pubs.usgs.gov/of/2013/1060/title_page.html\" target=\"_blank\">Open-File Report 2013-1060</a> for ordering information.","usgsCitation":"Poppe, L., McMullen, K., Ackerman, S., and Glomb, K., 2013, Sea-floor geology and topography offshore in northeastern Long Island Sound: U.S. Geological Survey Open-File Report 2013-1060, HTML Document, https://doi.org/10.3133/ofr20131060.","productDescription":"HTML Document","ipdsId":"IP-044630","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":279784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131060.GIF"},{"id":279782,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1060/"},{"id":279783,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1060/title_page.html"}],"country":"United States","state":"Connecticut;New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\"crs\": {\"type\": \"name\", \"properties\": {\"name\": \"urn:ogc:def:crs:OGC:1.3:CRS84\"}}, \"geometry\": {\"type\": \"Polygon\", \"coordinates\": [[[-72.40061964236243, 41.221039699120766], [-72.24182293597879, 41.25788919031744], [-72.15439394393304, 41.260297737976906], [-72.1465243042542, 41.25951206200242], [-72.14514615131536, 41.257180793946965], [-72.14803125653313, 41.24904067565398], [-72.40118635945878, 41.19922109091135], [-72.40061964236243, 41.221039699120766]]]}, \"properties\": {\"extentType\": \"Custom\", \"code\": \"\", \"name\": \"\", \"notes\": \"\", \"promotedForReuse\": false, \"abbreviation\": \"\", \"shortName\": \"\", \"description\": \"\"}, \"bbox\": [-72.4021781143774, 41.19922109091135, -72.14495295230523, 41.260297737976906], \"type\": \"Feature\", \"id\": \"3091986\"}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c301e4b0becc369c7d05","contributors":{"authors":[{"text":"Poppe, L.J.","contributorId":72782,"corporation":false,"usgs":true,"family":"Poppe","given":"L.J.","affiliations":[],"preferred":false,"id":486297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMullen, K.Y.","contributorId":51857,"corporation":false,"usgs":true,"family":"McMullen","given":"K.Y.","email":"","affiliations":[],"preferred":false,"id":486295,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, S.D.","contributorId":88843,"corporation":false,"usgs":true,"family":"Ackerman","given":"S.D.","email":"","affiliations":[],"preferred":false,"id":486298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glomb, K.A.","contributorId":67996,"corporation":false,"usgs":true,"family":"Glomb","given":"K.A.","email":"","affiliations":[],"preferred":false,"id":486296,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70049061,"text":"fs20133104 - 2013 - Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: possible implications for native fish","interactions":[],"lastModifiedDate":"2013-11-26T09:53:32","indexId":"fs20133104","displayToPublicDate":"2013-11-26T09:43:00","publicationYear":"2013","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":"2013-3104","title":"Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: possible implications for native fish","docAbstract":"Since the completion of Glen Canyon Dam, Arizona, in 1963, downstream water temperatures in the main channel of the Colorado River in Glen, Marble, and Grand Canyons are much colder in summer. This has negatively affected humpback chub (<i>Gila cypha</i>) and other native fish adapted to seasonally warm water, reducing main-channel spawning activity and impeding the growth and development of larval and juvenile fish. Recently published studies by U.S. Geological Survey scientists found that under certain conditions some isolated nearshore environments in Grand Canyon allow water to become separated from the main-channel current and to warm, providing refuge areas for the development of larval and juvenile fish.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133104","usgsCitation":"Ross, R.P., and Vernieu, W., 2013, Nearshore temperature findings for the Colorado River in Grand Canyon, Arizona: possible implications for native fish: U.S. Geological Survey Fact Sheet 2013-3104, 4 p., https://doi.org/10.3133/fs20133104.","productDescription":"4 p.","numberOfPages":"4","ipdsId":"IP-050887","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":279764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133104.jpg"},{"id":279760,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3104/"},{"id":279761,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3104/pdf/fs2013-3104.pdf"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River;Glen Canyon Dam;Grand Canyon","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.0491,35.65 ], [ -114.0491,37.0026 ], [ -111.3451,37.0026 ], [ -111.3451,35.65 ], [ -114.0491,35.65 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c300e4b0becc369c7cf6","contributors":{"authors":[{"text":"Ross, Robert P. rross@usgs.gov","contributorId":4734,"corporation":false,"usgs":true,"family":"Ross","given":"Robert","email":"rross@usgs.gov","middleInitial":"P.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":486088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vernieu, William S.","contributorId":49068,"corporation":false,"usgs":true,"family":"Vernieu","given":"William S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":486089,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70055732,"text":"sir20135199 - 2013 - Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington","interactions":[],"lastModifiedDate":"2013-11-26T09:38:12","indexId":"sir20135199","displayToPublicDate":"2013-11-26T09:30:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5199","title":"Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington","docAbstract":"<p>The watershed model SPARROW (Spatially Related Regressions on Watershed attributes) was used to predict total nitrogen (TN) and total phosphorus (TP) loads and yields for the Middle Columbia River Basin in Idaho, Oregon, and Washington. The new models build on recently published models for the entire Pacific Northwest, and provide revised load predictions for the arid interior of the region by restricting the modeling domain and recalibrating the models. Results from the new TN and TP models are provided for the entire region, and discussed with special emphasis on the Yakima River Basin, Washington.</p>\n<br/>\n<p>In most catchments of the Yakima River Basin, the TN and TP in streams is from natural sources, specifically nitrogen fixation in forests (TN) and weathering and erosion of geologic materials (TP). The natural nutrient sources are overshadowed by anthropogenic sources of TN and TP in highly agricultural and urbanized catchments; downstream of the city of Yakima, most of the load in the Yakima River is derived from anthropogenic sources. Yields of TN and TP from catchments with nearly uniform land use were compared with other yield values and export coefficients published in the scientific literature, and generally were in agreement. The median yield of TN was greatest in catchments dominated by agricultural land and smallest in catchments dominated by grass and scrub land. The median yield of TP was greatest in catchments dominated by forest land, but the largest yields (90th percentile) of TP were from agricultural catchments. As with TN, the smallest TP yields were from catchments dominated by grass and scrub land.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135199","collaboration":"Prepared in cooperation with Washington State Department of Ecology and U.S. Environmental Protection Agency","usgsCitation":"Johnson, H.M., Black, R.W., and Wise, D.R., 2013, Estimation of total nitrogen and total phosphorus in streams of the Middle Columbia River Basin (Oregon, Washington, and Idaho) using SPARROW models, with emphasis on the Yakima River Basin, Washington: U.S. Geological Survey Scientific Investigations Report 2013-5199, Report: vi, 27 p.; Appendix, https://doi.org/10.3133/sir20135199.","productDescription":"Report: vi, 27 p.; Appendix","numberOfPages":"38","additionalOnlineFiles":"Y","ipdsId":"IP-049165","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":279728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135199.GIF"},{"id":279724,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5199/downloads/sir20135199_appendixA.txt"},{"id":279646,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5199/"},{"id":279723,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5199/pdf/sir20135199.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1927","country":"United States","state":"Idaho;Oregon;Washington","otherGeospatial":"Middle Columbia River Basin;Yakima River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.0,41.0 ], [ -123.0,49.25 ], [ -112.0,49.25 ], [ -112.0,41.0 ], [ -123.0,41.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fce4b0becc369c7cc9","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":105291,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":486246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Daniel R. 0000-0002-1215-9612 dawise@usgs.gov","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":29891,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"dawise@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486245,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70056041,"text":"ofr20131245 - 2013 - Extreme ground motions and Yucca Mountain","interactions":[],"lastModifiedDate":"2013-11-26T09:37:02","indexId":"ofr20131245","displayToPublicDate":"2013-11-26T09:13:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1245","title":"Extreme ground motions and Yucca Mountain","docAbstract":"Yucca Mountain is the designated site of the underground repository for the United States' high-level radioactive waste (HLW), consisting of commercial and military spent nuclear fuel, HLW derived from reprocessing of uranium and plutonium, surplus plutonium, and other nuclear-weapons materials. Yucca Mountain straddles the western boundary of the Nevada Test Site, where the United States has tested nuclear devices since the 1950s, and is situated in an arid, remote, and thinly populated region of Nevada, ~100 miles northwest of Las Vegas.\n\nYucca Mountain was originally considered as a potential underground repository of HLW because of its thick units of unsaturated rocks, with the repository horizon being not only ~300 m above the water table but also ~300 m below the Yucca Mountain crest. The fundamental rationale for a geologic (underground) repository for HLW is to securely isolate these materials from the environment and its inhabitants to the greatest extent possible and for very long periods of time. Given the present climate conditions and what is known about the current hydrologic system and conditions around and in the mountain itself, one would anticipate that the rates of infiltration, corrosion, and transport would be very low—except for the possibility that repository integrity might be compromised by low-probability disruptive events, which include earthquakes, strong ground motion, and (or) a repository-piercing volcanic intrusion/eruption.\n\nExtreme ground motions (ExGM), as we use the phrase in this report, refer to the extremely large amplitudes of earthquake ground motion that arise at extremely low probabilities of exceedance (hazard). They first came to our attention when the 1998 probabilistic seismic hazard analysis for Yucca Mountain was extended to a hazard level of 10<sup>-8</sup>/yr (a 10-4/yr probability for a 10<sup>4</sup>-year repository “lifetime”). The primary purpose of this report is to summarize the principal results of the ExGM research program as they have developed over the past 5 years; what follows will be focused on Yucca Mountain, but not restricted to it.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131245","usgsCitation":"Hanks, T.C., Abrahamson, N., Baker, J., Boore, D.M., Board, M., Brune, J.N., Cornell, C.A., and Whitney, J.W., 2013, Extreme ground motions and Yucca Mountain: U.S. Geological Survey Open-File Report 2013-1245, viii, 106 p., https://doi.org/10.3133/ofr20131245.","productDescription":"viii, 106 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-042445","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":279107,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1245"},{"id":279720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1245/pdf/of2013-1245.pdf"},{"id":279722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131245.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Yucca Mountain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -116.470633,36.836351 ], [ -116.470633,36.839716 ], [ -116.466255,36.839716 ], [ -116.466255,36.836351 ], [ -116.470633,36.836351 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5295c2fde4b0becc369c7cd2","contributors":{"authors":[{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":486304,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahamson, Norman A.","contributorId":45202,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman A.","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":486305,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, Jack W.","contributorId":62113,"corporation":false,"usgs":false,"family":"Baker","given":"Jack W.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":486306,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boore, David M. boore@usgs.gov","contributorId":2509,"corporation":false,"usgs":true,"family":"Boore","given":"David","email":"boore@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":486303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Board, Mark","contributorId":74291,"corporation":false,"usgs":true,"family":"Board","given":"Mark","affiliations":[],"preferred":false,"id":486307,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brune, James N.","contributorId":76304,"corporation":false,"usgs":true,"family":"Brune","given":"James","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":486308,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cornell, C. 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,{"id":70049059,"text":"fs20133101 - 2013 - Assessment of undiscovered technically recoverable oil and gas resources of Puerto Rico and the Puerto Rico-U.S. Virgin Islands Exclusive Economic Zone, 2013","interactions":[],"lastModifiedDate":"2016-09-28T14:13:53","indexId":"fs20133101","displayToPublicDate":"2013-11-25T12:51:00","publicationYear":"2013","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":"2013-3101","subseriesTitle":"World Petroleum Resources Project","title":"Assessment of undiscovered technically recoverable oil and gas resources of Puerto Rico and the Puerto Rico-U.S. Virgin Islands Exclusive Economic Zone, 2013","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 19 million barrels of 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