{"pageNumber":"1223","pageRowStart":"30550","pageSize":"25","recordCount":184938,"records":[{"id":70173404,"text":"70173404 - 2015 - A critical assessment of the ecological assumptions underpinning compensatory mitigation of salmon-derived nutrients","interactions":[],"lastModifiedDate":"2016-06-22T13:48:33","indexId":"70173404","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"A critical assessment of the ecological assumptions underpinning compensatory mitigation of salmon-derived nutrients","docAbstract":"<p><span>We critically evaluate some of the key ecological assumptions underpinning the use of nutrient replacement as a means of recovering salmon populations and a range of other organisms thought to be linked to productive salmon runs. These assumptions include: (1) nutrient mitigation mimics the ecological roles of salmon, (2) mitigation is needed to replace salmon-derived nutrients and stimulate primary and invertebrate production in streams, and (3) food resources in rearing habitats limit populations of salmon and resident fishes. First, we call into question assumption one because an array of evidence points to the multi-faceted role played by spawning salmon, including disturbance via redd-building, nutrient recycling by live fish, and consumption by terrestrial consumers. Second, we show that assumption two may require qualification based upon a more complete understanding of nutrient cycling and productivity in streams. Third, we evaluate the empirical evidence supporting food limitation of fish populations and conclude it has been only weakly tested. On the basis of this assessment, we urge caution in the application of nutrient mitigation as a management tool. Although applications of nutrients and other materials intended to mitigate for lost or diminished runs of Pacific salmon may trigger ecological responses within treated ecosystems, contributions of these activities toward actual mitigation may be limited.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-015-0538-5","usgsCitation":"Collins, S.F., Marcarelli, A.M., Baxter, C.V., and Wipfli, M.S., 2015, A critical assessment of the ecological assumptions underpinning compensatory mitigation of salmon-derived nutrients: Environmental Management, v. 56, no. 3, p. 571-586, https://doi.org/10.1007/s00267-015-0538-5.","productDescription":"16 p.","startPage":"571","endPage":"586","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065573","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":471823,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.idahoafs.org/documents/2012AnnualMeeting.pdf","text":"External Repository"},{"id":324229,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"56","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-13","publicationStatus":"PW","scienceBaseUri":"576bb6ade4b07657d1a2284d","contributors":{"authors":[{"text":"Collins, Scott F.","contributorId":172292,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":640366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcarelli, Amy M.","contributorId":81821,"corporation":false,"usgs":true,"family":"Marcarelli","given":"Amy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":640367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baxter, Colden V.","contributorId":172293,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":640368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637088,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70168969,"text":"70168969 - 2015 - Linking magma transport structures at Kīlauea volcano","interactions":[],"lastModifiedDate":"2016-03-10T09:40:01","indexId":"70168969","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Linking magma transport structures at Kīlauea volcano","docAbstract":"<p>Identifying magma pathways is important for understanding and interpreting volcanic signals. At Kīlauea volcano, seismicity illuminates subsurface plumbing, but the broad spectrum of seismic phenomena hampers event identification. Discrete, long-period events (LPs) dominate the shallow (5-10 km) plumbing, and deep (40+ km) tremor has been observed offshore. However, our inability to routinely identify these events limits their utility in tracking ascending magma. Using envelope cross-correlation, we systematically catalog non-earthquake seismicity between 2008-2014. We find the LPs and deep tremor are spatially distinct, separated by the 15-25 km deep, horizontal mantle fault zone (MFZ). Our search corroborates previous observations, but we find broader-band (0.5-20 Hz) tremor comprising collocated earthquakes and reinterpret the deep tremor as earthquake swarms in a volume surrounding and responding to magma intruding from the mantle plume beneath the MFZ. We propose the overlying MFZ promotes lateral magma transport, linking this deep intrusion with Kīlauea&rsquo;s shallow magma plumbing.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL064869","usgsCitation":"Wech, A.G., and Thelen, W.A., 2015, Linking magma transport structures at Kīlauea volcano: Geophysical Research Letters, v. 42, no. 17, p. 7090-7097, https://doi.org/10.1002/2015GL064869.","productDescription":"8 p.","startPage":"7090","endPage":"7097","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064405","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471822,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl064869","text":"Publisher Index Page"},{"id":318771,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -155.3308868408203,\n              19.37010185290975\n            ],\n            [\n              -155.3308868408203,\n              19.456233596018\n            ],\n            [\n              -155.19973754882812,\n              19.456233596018\n            ],\n            [\n              -155.19973754882812,\n              19.37010185290975\n            ],\n            [\n              -155.3308868408203,\n              19.37010185290975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"17","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-15","publicationStatus":"PW","scienceBaseUri":"56e2a8c8e4b0f59b85d3919c","contributors":{"authors":[{"text":"Wech, Aaron G. 0000-0003-4983-1991 awech@usgs.gov","orcid":"https://orcid.org/0000-0003-4983-1991","contributorId":5344,"corporation":false,"usgs":true,"family":"Wech","given":"Aaron","email":"awech@usgs.gov","middleInitial":"G.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thelen, Weston A. 0000-0003-2534-5577 wthelen@usgs.gov","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":4126,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","email":"wthelen@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622420,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70187759,"text":"70187759 - 2015 - The Centennial Trends Greater Horn of Africa precipitation dataset","interactions":[],"lastModifiedDate":"2018-03-27T13:07:34","indexId":"70187759","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The Centennial Trends Greater Horn of Africa precipitation dataset","docAbstract":"<p><span>East Africa is a drought prone, food and water insecure region with a highly variable climate. This complexity makes rainfall estimation challenging, and this challenge is compounded by low rain gauge densities and inhomogeneous monitoring networks. The dearth of observations is particularly problematic over the past decade, since the number of records in globally accessible archives has fallen precipitously. This lack of data coincides with an increasing scientific and humanitarian need to place recent seasonal and multi-annual East African precipitation extremes in a deep historic context. To serve this need, scientists from the UC Santa Barbara Climate Hazards Group and Florida State University have pooled their station archives and expertise to produce a high quality gridded ‘Centennial Trends’ precipitation dataset. Additional observations have been acquired from the national meteorological agencies and augmented with data provided by other universities. Extensive quality control of the data was carried out and seasonal anomalies interpolated using kriging. This paper documents the CenTrends methodology and data.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/sdata.2015.50","usgsCitation":"Funk, C., Nicholson, S.E., Landsfeld, M.F., Klotter, D., Peterson, P.J., and Harrison, L., 2015, The Centennial Trends Greater Horn of Africa precipitation dataset: Scientific Data, v. 2, Article 150050; 15 p., https://doi.org/10.1038/sdata.2015.50.","productDescription":"Article 150050; 15 p.","ipdsId":"IP-064132","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471834,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/sdata.2015.50","text":"Publisher Index Page"},{"id":341428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              24,\n              -12\n            ],\n            [\n              53,\n              -12\n            ],\n            [\n              53,\n              15\n            ],\n            [\n              24,\n              15\n            ],\n            [\n              24,\n              -12\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2","noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"593e26bee4b0764e6c61b759","contributors":{"authors":[{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","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":695508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nicholson, Sharon E.","contributorId":192112,"corporation":false,"usgs":false,"family":"Nicholson","given":"Sharon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":695509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landsfeld, Martin F.","contributorId":89806,"corporation":false,"usgs":true,"family":"Landsfeld","given":"Martin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":695510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klotter, Douglas","contributorId":192113,"corporation":false,"usgs":false,"family":"Klotter","given":"Douglas","email":"","affiliations":[],"preferred":false,"id":695511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Pete J.","contributorId":32453,"corporation":false,"usgs":true,"family":"Peterson","given":"Pete","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":695512,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harrison, Laura","contributorId":78859,"corporation":false,"usgs":true,"family":"Harrison","given":"Laura","affiliations":[],"preferred":false,"id":695513,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187291,"text":"70187291 - 2015 - Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network","interactions":[],"lastModifiedDate":"2017-11-27T09:18:57","indexId":"70187291","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network","docAbstract":"<p><span>Conservation of animal migratory movements is among the most important issues in wildlife management. To address this need for landscape-scale monitoring of raptor populations, we developed a novel, baited photographic observation network termed the “Appalachian Eagle Monitoring Program” (AEMP). During winter months of 2008–2012, we partnered with professional and citizen scientists in 11 states in the United States to collect approximately 2.5 million images. To our knowledge, this represents the largest such camera-trap effort to date. Analyses of data collected in 2011 and 2012 revealed complex, often species-specific, spatial and temporal patterns in winter raptor movement behavior as well as spatial and temporal resource partitioning between raptor species. Although programmatic advances in data analysis and involvement are needed, the continued growth of the program has the potential to provide a long-term, cost-effective, range-wide monitoring tool for avian and terrestrial scavengers during the winter season. Perhaps most importantly, by relying heavily on citizen scientists, AEMP has the potential to improve long-term interest and support for raptor conservation and serve as a model for raptor conservation programs in other portions of the world.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.571","usgsCitation":"Jachowski, D.S., Katzner, T., Rodrigue, J.L., and Ford, W.M., 2015, Monitoring landscape-level distribution and migration Phenology of Raptors using a volunteer camera-trap network: Wildlife Society Bulletin, v. 39, no. 3, p. 553-563, https://doi.org/10.1002/wsb.571.","productDescription":"11 p.","startPage":"553","endPage":"563","ipdsId":"IP-057779","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":500021,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/cb007dbfa04643b9ad65dc256e614b86","text":"External Repository"},{"id":340544,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-11","publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f737","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693291,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":693223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodrigue, Jane L.","contributorId":150352,"corporation":false,"usgs":false,"family":"Rodrigue","given":"Jane","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693222,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187269,"text":"70187269 - 2015 - Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (<i>Aplodinotus grunniens</i>) indicates cyclic transmission in Lake Winnebago, Wisconsin","interactions":[],"lastModifiedDate":"2017-04-27T10:59:22","indexId":"70187269","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (<i>Aplodinotus grunniens</i>) indicates cyclic transmission in Lake Winnebago, Wisconsin","docAbstract":"<p><span>Viral hemorrhagic septicemia virus (VHSV) is an emerging pathogen that causes mass mortality in multiple fish species. In 2007, the Great Lakes freshwater strain, type IVb, caused a large die-off of freshwater drum (</span><span id=\"named-content-3\" class=\"named-content genus-species\">Aplodinotus grunniens</span><span>) in Lake Winnebago, Wisconsin, USA. To evaluate the persistence and transmission of VHSV, freshwater drum from Lake Winnebago were tested for antibodies to the virus using recently developed virus neutralization (VN) and enzyme-linked immunosorbent (ELISA) assays. Samples were also tested by real-time reverse transcription-PCR (rRT-PCR) to detect viral RNA. Of 548 serum samples tested, 44 (8.03%) were positive by VN (titers ranging from 1:16 to 1:1,024) and 45 (8.21%) were positive by ELISA, including 7 fish positive by both assays. Antibody prevalence increased with age and was higher in one northwestern area of Lake Winnebago than in other areas. Of 3,864 tissues sampled from 551 fish, 1 spleen and 1 kidney sample from a single adult female fish collected in the spring of 2012 tested positive for VHSV by rRT-PCR, and serum from the same fish tested positive by VN and ELISA. These results suggest that VHSV persists and viral transmission may be active in Lake Winnebago even in years following outbreaks and that wild fish may survive VHSV infection and maintain detectable antibody titers while harboring viral RNA. Influxes of immunologically naive juvenile fish through recruitment may reduce herd immunity, allow VHSV to persist, and drive superannual cycles of transmission that may sporadically manifest as fish kills.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JCM.00010-15","usgsCitation":"Wilson-Rothering, A., Marcquenski, S., Koenigs, R.P., Bruch, R., Kamke, K., Isermann, D.A., Thurman, A., Toohey-Kurth, K., and Goldberg, T., 2015, Temporal variation in viral hemorrhagic septicemia virus antibodies in freshwater drum (<i>Aplodinotus grunniens</i>) indicates cyclic transmission in Lake Winnebago, Wisconsin: Journal of Clinical Microbiology, v. 53, no. 9, p. 2889-2894, https://doi.org/10.1128/JCM.00010-15.","productDescription":"6 p.","startPage":"2889","endPage":"2894","ipdsId":"IP-061770","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471835,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jcm.00010-15","text":"Publisher Index Page"},{"id":340494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Lake Winnebago","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.54156494140625,\n              43.80182757075142\n            ],\n            [\n              -88.28201293945311,\n              43.80182757075142\n            ],\n            [\n              -88.28201293945311,\n              44.209772586984485\n            ],\n            [\n              -88.54156494140625,\n              44.209772586984485\n            ],\n            [\n              -88.54156494140625,\n              43.80182757075142\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"53","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59030327e4b0e862d230f739","contributors":{"authors":[{"text":"Wilson-Rothering, Anna","contributorId":191472,"corporation":false,"usgs":false,"family":"Wilson-Rothering","given":"Anna","email":"","affiliations":[],"preferred":false,"id":693166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marcquenski, Susan","contributorId":105645,"corporation":false,"usgs":true,"family":"Marcquenski","given":"Susan","email":"","affiliations":[],"preferred":false,"id":693167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenigs, Ryan P.","contributorId":191473,"corporation":false,"usgs":false,"family":"Koenigs","given":"Ryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruch, Ronald","contributorId":191474,"corporation":false,"usgs":false,"family":"Bruch","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":693169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamke, Kendall","contributorId":191475,"corporation":false,"usgs":false,"family":"Kamke","given":"Kendall","email":"","affiliations":[],"preferred":false,"id":693170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693149,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thurman, Andrew","contributorId":191477,"corporation":false,"usgs":false,"family":"Thurman","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":693171,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Toohey-Kurth, Kathy","contributorId":75852,"corporation":false,"usgs":true,"family":"Toohey-Kurth","given":"Kathy","email":"","affiliations":[],"preferred":false,"id":693172,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goldberg, Tony","contributorId":79021,"corporation":false,"usgs":true,"family":"Goldberg","given":"Tony","affiliations":[],"preferred":false,"id":693173,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187117,"text":"70187117 - 2015 - Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","interactions":[],"lastModifiedDate":"2018-09-04T16:28:10","indexId":"70187117","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments","docAbstract":"<p><span>Natural perchlorate (ClO</span><sub>4</sub><sup>−</sup><span>) is of increasing interest due to its wide-spread occurrence on Earth and Mars, yet little information exists on the relative abundance of ClO</span><sub>4</sub><sup>−</sup><span> compared to other major anions, its stability, or long-term variations in production that may impact the observed distributions. Our objectives were to evaluate the occurrence and fate of ClO</span><sub>4</sub><sup>−</sup><span> in groundwater and soils/caliche in arid and semi-arid environments (southwestern United States, southern Africa, United Arab Emirates, China, Antarctica, and Chile) and the relationship of ClO</span><sub>4</sub><sup>−</sup><span> to the more well-studied atmospherically deposited anions NO</span><sub>3</sub><sup>−</sup><span>and Cl</span><sup>−</sup><span> as a means to understand the prevalent processes that affect the accumulation of these species over various time scales. ClO</span><sub>4</sub><sup>−</sup><span> is globally distributed in soil and groundwater in arid and semi-arid regions on Earth at concentrations ranging from 10</span><sup>−1</sup><span>to 10</span><sup>6</sup><span>&nbsp;μg/kg. Generally, the ClO</span><sub>4</sub><sup>−</sup><span> concentration in these regions increases with aridity index, but also depends on the duration of arid conditions. In many arid and semi-arid areas, NO</span><sub>3</sub><sup>−</sup><span> and ClO</span><sub>4</sub><sup>−</sup><span> co-occur at molar ratios (NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span>) that vary between ∼10</span><sup>4</sup><span>and 10</span><sup>5</sup><span>. We hypothesize that atmospheric deposition ratios are largely preserved in hyper-arid areas that support little or no biological activity (e.g. plants or bacteria), but can be altered in areas with more active biological processes including N</span><sub>2</sub><span> fixation, N mineralization, nitrification, denitrification, and microbial ClO</span><sub>4</sub><sup>−</sup><span> reduction, as indicated in part by NO</span><sub>3</sub><sup>−</sup><span> isotope data. In contrast, much larger ranges of Cl</span><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> and Cl</span><sup>−</sup><span>/NO</span><sub>3</sub><sup>−</sup><span>ratios indicate Cl</span><sup>−</sup><span> varies independently from both ClO</span><sub>4</sub><sup>−</sup><span> and NO</span><sub>3</sub><sup>−</sup><span>. The general lack of correlation between Cl</span><sup>−</sup><span> and ClO</span><sub>4</sub><sup>−</sup><span> or NO</span><sub>3</sub><sup>−</sup><span> implies that Cl</span><sup>−</sup><span> is not a good indicator of co-deposition and should be used with care when interpreting oxyanion cycling in arid systems. The Atacama Desert appears to be unique compared to all other terrestrial locations having a NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> molar ratio ∼10</span><sup>3</sup><span>. The relative enrichment in ClO</span><sub>4</sub><sup>−</sup><span>compared to Cl</span><sup>−</sup><span> or NO</span><sub>3</sub><sup>−</sup><span> and unique isotopic composition of Atacama ClO</span><sub>4</sub><sup>−</sup><span> may reflect either additional </span><i>in-situ</i><span> production mechanism(s) or higher relative atmospheric production rates in that specific region or in the geological past. Elevated concentrations of ClO</span><sub>4</sub><sup>−</sup><span> reported on the surface of Mars, and its enrichment with respect to Cl</span><sup>−</sup><span> and NO</span><sub>3</sub><sup>−</sup><span>, could reveal important clues regarding the climatic, hydrologic, and potentially biologic evolution of that planet. Given the highly conserved ratio of NO</span><sub>3</sub><sup>−</sup><span>/ClO</span><sub>4</sub><sup>−</sup><span> in non-biologically active areas on Earth, it may be possible to use alterations of this ratio as a biomarker on Mars and for interpreting major anion cycles and processes on both Mars and Earth, particularly with respect to the less-conserved NO</span><sub>3</sub><sup>−</sup><span> pool terrestrially.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2015.05.016","usgsCitation":"Jackson, W., Bohlke, J., Andraski, B.J., Fahlquist, L.S., Bexfield, L.M., Eckardt, F.D., Gates, J.B., Davila, A.F., McKay, C.P., Rao, B., Sevanthi, R., Rajagopalan, S., Estrada, N., Sturchio, N.C., Hatzinger, P.B., Anderson, T.A., Orris, G.J., Betancourt, J.L., Stonestrom, D.A., Latorre, C., Li, Y., and Harvey, G.J., 2015, Global patterns and environmental controls of perchlorate and nitrate co-occurrence in arid and semi-arid environments: Geochimica et Cosmochimica Acta, v. 164, p. 502-522, https://doi.org/10.1016/j.gca.2015.05.016.","productDescription":"21 p.","startPage":"502","endPage":"522","ipdsId":"IP-065217","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":488634,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://americanae.aecid.es/americanae/es/registros/registro.do?tipoRegistro=MTD&idBib=3271287","text":"External Repository"},{"id":340174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"164","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58ff0ea2e4b006455f2d61d8","contributors":{"authors":[{"text":"Jackson, W Andrew","contributorId":191265,"corporation":false,"usgs":false,"family":"Jackson","given":"W Andrew","affiliations":[],"preferred":false,"id":692539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bohlke, J.K. 0000-0001-5693-6455 jkbohlke@usgs.gov","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":191103,"corporation":false,"usgs":true,"family":"Bohlke","given":"J.K.","email":"jkbohlke@usgs.gov","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":692538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":692540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fahlquist, Lynne S. 0000-0002-4993-4037 lfahlqst@usgs.gov","orcid":"https://orcid.org/0000-0002-4993-4037","contributorId":1051,"corporation":false,"usgs":true,"family":"Fahlquist","given":"Lynne","email":"lfahlqst@usgs.gov","middleInitial":"S.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bexfield, Laura M. 0000-0002-1789-654X bexfield@usgs.gov","orcid":"https://orcid.org/0000-0002-1789-654X","contributorId":1273,"corporation":false,"usgs":true,"family":"Bexfield","given":"Laura","email":"bexfield@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eckardt, Frank D.","contributorId":21800,"corporation":false,"usgs":true,"family":"Eckardt","given":"Frank","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":692543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gates, John B.","contributorId":177625,"corporation":false,"usgs":false,"family":"Gates","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":692544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davila, Alfonso F.","contributorId":16282,"corporation":false,"usgs":true,"family":"Davila","given":"Alfonso","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":692545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McKay, Christopher P.","contributorId":58156,"corporation":false,"usgs":true,"family":"McKay","given":"Christopher","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":692546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rao, Balaji","contributorId":191111,"corporation":false,"usgs":false,"family":"Rao","given":"Balaji","email":"","affiliations":[],"preferred":false,"id":692547,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sevanthi, Ritesh","contributorId":191112,"corporation":false,"usgs":false,"family":"Sevanthi","given":"Ritesh","email":"","affiliations":[],"preferred":false,"id":692548,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rajagopalan, Srinath","contributorId":191269,"corporation":false,"usgs":false,"family":"Rajagopalan","given":"Srinath","email":"","affiliations":[],"preferred":false,"id":692549,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Estrada, Nubia","contributorId":176622,"corporation":false,"usgs":false,"family":"Estrada","given":"Nubia","affiliations":[],"preferred":false,"id":692550,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sturchio, Neil C.","contributorId":149375,"corporation":false,"usgs":false,"family":"Sturchio","given":"Neil","email":"","middleInitial":"C.","affiliations":[{"id":15289,"text":"University of Illinois, Ven Te Chow Hydrosystems Laboratory","active":true,"usgs":false}],"preferred":false,"id":692551,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hatzinger, Paul B.","contributorId":149376,"corporation":false,"usgs":false,"family":"Hatzinger","given":"Paul","email":"","middleInitial":"B.","affiliations":[{"id":17721,"text":"Shaw Environmental, Princeton, NJ","active":true,"usgs":false}],"preferred":false,"id":692552,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Anderson, Todd A.","contributorId":191110,"corporation":false,"usgs":false,"family":"Anderson","given":"Todd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":692553,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Orris, Greta J. 0000-0002-2340-9955 greta@usgs.gov","orcid":"https://orcid.org/0000-0002-2340-9955","contributorId":3472,"corporation":false,"usgs":true,"family":"Orris","given":"Greta","email":"greta@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":692554,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":692555,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":692556,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Latorre, Claudio","contributorId":191270,"corporation":false,"usgs":false,"family":"Latorre","given":"Claudio","affiliations":[],"preferred":false,"id":692557,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Li, Yanhe","contributorId":191271,"corporation":false,"usgs":false,"family":"Li","given":"Yanhe","email":"","affiliations":[],"preferred":false,"id":692558,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Harvey, Gregory J.","contributorId":48640,"corporation":false,"usgs":true,"family":"Harvey","given":"Gregory","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692559,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70187283,"text":"70187283 - 2015 - Atypical den use of Carolina Northern Flying Squirrels (<i>Glaucomys sabrinus coloratus</i>) in the southern Appalachian Mountains","interactions":[],"lastModifiedDate":"2017-04-28T12:53:55","indexId":"70187283","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Atypical den use of Carolina Northern Flying Squirrels (<i>Glaucomys sabrinus coloratus</i>) in the southern Appalachian Mountains","docAbstract":"<p><i>Glaucomys sabrinus coloratus</i><span> (Carolina Northern Flying Squirrel) is a federally endangered subspecies that occurs in high elevation forests of the southern Appalachian Mountains. Denning sites may be a limiting factor for this subspecies in areas where cavity trees are not abundant or where interspecific competition from other tree squirrels occurs. This shortage can result in use of unusual denning sites, such as subterranean dens. Herein, we report atypical denning habits of radio-collared Carolina Northern Flying Squirrels in southwestern Virginia and western North Carolina from 2008 to 2011 and 2014. Increased knowledge of denning habitats may be beneficial for conservation and habitat management of this subspecies, particularly in sub-optimal or degraded habitats.</span></p>","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.014.0303","usgsCitation":"Diggins, C.A., Kelly, C.A., and Ford, W.M., 2015, Atypical den use of Carolina Northern Flying Squirrels (<i>Glaucomys sabrinus coloratus</i>) in the southern Appalachian Mountains: Southeastern Naturalist, v. 14, no. 3, p. N44-N49, https://doi.org/10.1656/058.014.0303.","productDescription":"6 p.","startPage":"N44","endPage":"N49","ipdsId":"IP-062097","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.7108154296875,\n              36.61111838494165\n            ],\n            [\n              -84.4354248046875,\n              35.160336728130346\n            ],\n            [\n              -82.4139404296875,\n              35.22767235493586\n            ],\n            [\n              -80.85937499999999,\n              36.558187766360675\n            ],\n            [\n              -81.7108154296875,\n              36.61111838494165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-18","publicationStatus":"PW","scienceBaseUri":"590454a6e4b022cee40dc24c","contributors":{"authors":[{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":693480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Christine A.","contributorId":171661,"corporation":false,"usgs":false,"family":"Kelly","given":"Christine","email":"","middleInitial":"A.","affiliations":[{"id":35598,"text":"North Carolina Wildlife Resources Commission ","active":true,"usgs":false}],"preferred":false,"id":693481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693214,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186566,"text":"70186566 - 2015 - Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>","interactions":[],"lastModifiedDate":"2017-04-05T15:57:17","indexId":"70186566","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>","docAbstract":"<p><span>A suite of tetra-, penta-, and hexa-nucleotide microsatellite loci were developed from Roche 454 pyrosequencing data for the cold-water octocorals </span><i class=\"EmphasisTypeItalic \">Primnoa resedaeformis</i><span> and </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span>. Twelve of 98 primer sets tested consistently amplified in 30 </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">resedaeformis</i><span> samples from Baltimore Canyon (western North Atlantic Ocean) and in 24 </span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span> samples (Shutter Ridge, eastern Gulf of Alaska). The loci displayed moderate levels of allelic diversity (average 7.5 alleles/locus) and heterozygosity (average 47&nbsp;%). Levels of genetic diversity were sufficient to produce unique multi-locus genotypes and to distinguish species. These common species are long-lived (hundreds of years) and provide essential fish habitat (</span><i class=\"EmphasisTypeItalic \">P</i><span>. </span><i class=\"EmphasisTypeItalic \">pacifica</i><span>), yet populations are provided little protection from human activities. These loci will be used to determine regional patterns of population connectivity to inform effective marine spatial planning and ecosystem-based fisheries management.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12686-015-0455-1","usgsCitation":"Morrison, C.L., Springmann, M.J., Shroades, K., and Stone, R.P., 2015, Development of twelve microsatellite loci in the red tree corals <i>Primnoa resedaeformis</i> and <i>Primnoa pacifica</i>: Conservation Genetics Resources, v. 7, no. 3, p. 763-765, https://doi.org/10.1007/s12686-015-0455-1.","productDescription":"3 p.","startPage":"763","endPage":"765","ipdsId":"IP-061828","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":339267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-21","publicationStatus":"PW","scienceBaseUri":"58e60273e4b09da6799ac685","contributors":{"authors":[{"text":"Morrison, Cheryl L. 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":146488,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":689603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springmann, Marcus J. mspringmann@usgs.gov","contributorId":4372,"corporation":false,"usgs":true,"family":"Springmann","given":"Marcus","email":"mspringmann@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":689604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shroades, Kelsey kshroades@usgs.gov","contributorId":190568,"corporation":false,"usgs":true,"family":"Shroades","given":"Kelsey","email":"kshroades@usgs.gov","affiliations":[],"preferred":true,"id":689605,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stone, Robert P.","contributorId":190569,"corporation":false,"usgs":false,"family":"Stone","given":"Robert","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":689606,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70162104,"text":"70162104 - 2015 - Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea","interactions":[],"lastModifiedDate":"2016-12-14T13:58:54","indexId":"70162104","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea","docAbstract":"The Anniston Polychlorinated Biphenyl (PCB) Site is located in the vicinity of the municipality of Anniston in Calhoun County, in the north-eastern portion of Alabama. Although there are a variety of land-use activities within the Choccolocco Creek watershed, environmental concerns in the area have focused mainly on releases of PCBs to aquatic and riparian habitats. PCBs were manufactured by Monsanto, Inc. at the Anniston facility from 1935 to 1971. The chemicals of potential concern (COPCs) in sediments at the Anniston PCB Site include: PCBs, mercury, metals, polycyclic aromatic hydrocarbons (PAHs), organochlorine and organophosphorous pesticides, volatile organic compounds (VOCs), semivolatile organic compounds (SVOCs), and polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans (PCDDs/PCDFs).\n\nThe purpose of this study was to evaluate the toxicity of PCB-contaminated sediments to the juvenile fatmucket mussel (Lampsilis siliquoidea) and to characterize relationships between sediment chemistry and the toxicity of sediment samples collected from the Anniston PCB Site using laboratory sediment testing. Samples were collected in August 2010 from OU-4 of the Anniston PCB Site, as well as from selected reference locations. A total of 32 samples were initially collected from six test sites and one reference site within the watershed. A total of 23 of these 32 samples were evaluated in 28-day whole-sediment toxicity tests conducted with juvenile mussels (L. siliquoidea). Physical and chemical characterization of whole sediment included grain size, total organic carbon (TOC), nutrients, PCBs, parent and \nalkylated PAHs, organochlorine pesticides, PCDD/PCDFs, total metals, \nsimultaneously extracted metals (SEM), and acid volatile sulfide (AVS). \n\nSediment collected from Snow Creek and Choccolocco Creek contained a variety of COPCs. Organic contaminants detected in sediment included PCBs, organochlorine pesticides, PCDDs/PCDFs, and PAHs. In general, the highest concentrations of PCBs were associated with the highest concentrations of PAHs, PCDDs/PCDFs, and organochlorine pesticides. Specifically, sediments 08, 18, and 19 exceeded probable effect concentration quotients (PEC-Qs) of 1.0 for all organic classes of contaminants. These three sediment samples also had high concentrations of mercury and lead, which were the only metals found at elevated concentrations (i.e., above the probable effect concentration [PEC]) in the samples collected. Many sediment samples were \nhighly contaminated with mercury, based on comparisons to samples collected from reference locations.\n\nThe whole-sediment laboratory toxicity tests conducted with L. siliquoidea met the test acceptability criteria (e.g., control survival was greater than or equal to 80%).  Survival of mussels was high in most samples, with 4 of 23 samples (17%) classified as toxic based on the survival endpoint. Biomass and weight were more sensitive endpoints for the L. siliquoidea toxicity tests, with both endpoints classifying 52% of the samples as toxic. Samples 19 and 30 were most toxic to L. siliquoidea, as they were classified as toxic according to all four endpoints (survival, biomass, weight, and length).\n\nMussels were less sensitive in toxicity tests conducted with sediments from the Anniston PCB Site than Hyalella azteca and Chironomus dilutus. Biomass of L. siliquoidea was less sensitive compared to biomass of H. azteca or biomass of larval C. dilutus. Based on the most sensitive endpoint for each species, 52% of the samples were toxic to L. siliquoidea, whereas 67% of sediments were toxic to H. azteca (based on reproduction) and 65% were toxic to C. dilutus (based on adult biomass). The low-risk toxicity threshold (TTLR) was higher for L. siliquoidea biomass (e.g., 20,400 µg/kg dry weight [DW]) compared to that for H. azteca reproduction (e.g., 499 µg/kg DW) or C. dilutus adult biomass (e.g., 1,140 µg/kg DW; MacDonald et al. 2014). While mussels such as L. sili","language":"English","publisher":"MacDonald Environmental Sciences Ltd","collaboration":"MacDonald Environmental Science St.","usgsCitation":"Schein, A., Sinclair, J., MacDonald, D., Ingersoll, C.G., Kemble, N.E., and Kunz, J.L., 2015, Evaluation of the toxicity of sediments from the Anniston PCB Site to the mussel Lampsilis siliquoidea, 113 p. .","productDescription":"113 p. ","startPage":"1","endPage":"112","ipdsId":"IP-063231","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":332133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":314264,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/daphne/Contaminants/index-AnnistonNRDA.html"}],"country":"United States","state":"Alabama ","otherGeospatial":"Choccolocco creek ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.253662109375,\n              33.37182502950726\n            ],\n            [\n              -86.253662109375,\n              33.500178528242294\n            ],\n            [\n              -85.9954833984375,\n              33.500178528242294\n            ],\n            [\n              -85.9954833984375,\n              33.37182502950726\n            ],\n            [\n              -86.253662109375,\n              33.37182502950726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585268e3e4b0e2663625ec8c","contributors":{"authors":[{"text":"Schein, Allison","contributorId":152229,"corporation":false,"usgs":false,"family":"Schein","given":"Allison","email":"","affiliations":[{"id":18887,"text":"MacDonald Environmental Sciences Ltd., #24 - 4800 Island Highway North, Nanaimo, British Columbia V9T 1W6","active":true,"usgs":false}],"preferred":false,"id":588554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sinclair, Jesse A.","contributorId":66967,"corporation":false,"usgs":true,"family":"Sinclair","given":"Jesse A.","affiliations":[],"preferred":false,"id":588555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"MacDonald, Donald D.","contributorId":49911,"corporation":false,"usgs":true,"family":"MacDonald","given":"Donald D.","affiliations":[],"preferred":false,"id":588556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kemble, Nile E. 0000-0002-3608-0538 nkemble@usgs.gov","orcid":"https://orcid.org/0000-0002-3608-0538","contributorId":2626,"corporation":false,"usgs":true,"family":"Kemble","given":"Nile","email":"nkemble@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588557,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":588558,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176710,"text":"70176710 - 2015 - Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","interactions":[],"lastModifiedDate":"2016-10-03T13:56:41","indexId":"70176710","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions","docAbstract":"Unbiased estimators of abundance and density are fundamental to the study of animal ecology and critical for making sound management decisions. Capture–recapture models are generally considered the most robust approach for estimating these parameters but rely on a number of assumptions that are often violated but rarely validated. Mark-resight models, a form of capture–recapture, are well suited for use with noninvasive sampling methods and allow for a number of assumptions to be relaxed. We used ancillary data from continuous video and radio telemetry to evaluate the assumptions of mark-resight models for abundance estimation on a barrier island raccoon (Procyon lotor) population using camera traps. Our island study site was geographically closed, allowing us to estimate real survival and in situ recruitment in addition to population size. We found several sources of bias due to heterogeneity of capture probabilities in our study, including camera placement, animal movement, island physiography, and animal behavior. Almost all sources of heterogeneity could be accounted for using the sophisticated mark-resight models developed by McClintock et al. (2009b) and this model generated estimates similar to a spatially explicit mark-resight model previously developed for this population during our study. Spatially explicit capture–recapture models have become an important tool in ecology and confer a number of advantages; however, non-spatial models that account for inherent individual heterogeneity may perform nearly as well, especially where immigration and emigration are limited. Non-spatial models are computationally less demanding, do not make implicit assumptions related to the isotropy of home ranges, and can provide insights with respect to the biological traits of the local population.","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.931","usgsCitation":"Parsons, A.W., Simons, T.R., Pollock, K.H., Stoskopf, M.K., Stocking, J.J., and O’Connell, A.F., 2015, Camera traps and mark-resight models: The value of ancillary data for evaluating assumptions: Journal of Wildlife Management, v. 79, no. 7, p. 1163-1172, https://doi.org/10.1002/jwmg.931.","productDescription":"10 p.","startPage":"1163","endPage":"1172","ipdsId":"IP-057828","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":329240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Cape Lookout National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.5252685546875,\n              34.56085936708384\n            ],\n            [\n              -75.45135498046875,\n              35.247862157399915\n            ],\n            [\n              -75.5804443359375,\n              35.32184842037683\n            ],\n            [\n              -76.0308837890625,\n              35.160336728130346\n            ],\n            [\n              -76.2835693359375,\n              34.92197103616377\n            ],\n            [\n              -76.48956298828125,\n              34.7461262752594\n            ],\n            [\n              -76.59942626953125,\n              34.615126683462194\n            ],\n            [\n              -76.5252685546875,\n              34.56085936708384\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"79","issue":"7","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-08-13","publicationStatus":"PW","scienceBaseUri":"57f7ee36e4b0bc0bec09e911","contributors":{"authors":[{"text":"Parsons, Arielle W.","contributorId":91383,"corporation":false,"usgs":true,"family":"Parsons","given":"Arielle","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":649973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":649974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Kenneth H.","contributorId":8590,"corporation":false,"usgs":false,"family":"Pollock","given":"Kenneth","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":649975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoskopf, Michael K.","contributorId":83817,"corporation":false,"usgs":true,"family":"Stoskopf","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":649976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stocking, Jessica J.","contributorId":68626,"corporation":false,"usgs":true,"family":"Stocking","given":"Jessica","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":649977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":649978,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70191146,"text":"70191146 - 2015 - Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","interactions":[],"lastModifiedDate":"2017-09-27T17:02:15","indexId":"70191146","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach","docAbstract":"<p><span>Magmatic minerals record the pre-eruptive timescales of magma ascent and mixing in crustal reservoirs and conduits. Investigations of the mineral records of magmatic processes are fundamental to our understanding of what controls eruption style, as ascent rates and magma mixing processes are well known to control and/or trigger potentially hazardous explosive eruptions. Thus, amphibole reaction rims are often used to infer pre-eruptive magma dynamics, and in particular to estimate magma ascent rates. However, while several experimental studies have investigated amphibole destabilization during decompression, only two investigated thermal destabilization relevant to magma mixing processes. This study examines amphibole decomposition experimentally through isobaric heating of magnesio-hornblende phenocrysts within a natural high-silica andesite glass. The experiments first equilibrated for 24 h at 870 °C and 140 MPa at H</span><sub>2</sub><span>O-saturated conditions and ƒO</span><sub>2</sub><span><span>&nbsp;</span>∼ Re–ReO prior to rapid heating to 880, 900, or 920 °C and hold times of 3–48 h. At 920 °C, rim thicknesses increased from 17 μm after 3 h, to 55 μm after 12 h, and became pseudomorphs after longer durations. At 900 °C, rim thicknesses increased from 7 μm after 3 h, to 80 μm after 24 h, to pseudomorphs after longer durations. At 880 °C, rim thicknesses increased from 7 μm after 3 h, to 18 μm after 36 h, to pseudomorphs after 48 h. Reaction rim microlites vary from 5–16 μm in size, with no systematic relationship between crystal size and the duration or magnitude of heating. Time-averaged rim microlite growth rates decrease steadily with increasing experimental duration (from<span>&nbsp;</span></span><span id=\"mmlsi1\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X15004148&amp;_mathId=si1.gif&amp;_user=111111111&amp;_pii=S0012821X15004148&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=cb06d9891a3e38dfc1e4296ab9aa1f42\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si1.gif\" alt=\"View the MathML source\" width=\"123\" height=\"16\" data-inlimgeid=\"1-s2.0-S0012821X15004148-si1.gif\" data-loaded=\"true\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si1.gif\"></a></span><span><span>&nbsp;</span>to 3.1 to<span>&nbsp;</span></span><span id=\"mmlsi2\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X15004148&amp;_mathId=si2.gif&amp;_user=111111111&amp;_pii=S0012821X15004148&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=4e605c1bca341aaff9206507898eb425\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si2.gif\" alt=\"View the MathML source\" width=\"115\" height=\"16\" data-inlimgeid=\"1-s2.0-S0012821X15004148-si2.gif\" data-loaded=\"true\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si2.gif\"></a></span><span>). Time-averaged microlite nucleation rates also decrease with increasing experimental duration (from<span>&nbsp;</span></span><span id=\"mmlsi3\" class=\"mathmlsrc\"><a class=\"mathImg\" title=\"View the MathML source\" data-mathurl=\"/science?_ob=MathURL&amp;_method=retrieve&amp;_eid=1-s2.0-S0012821X15004148&amp;_mathId=si3.gif&amp;_user=111111111&amp;_pii=S0012821X15004148&amp;_rdoc=1&amp;_issn=0012821X&amp;md5=fbf3d8501142207dd8c31b44ff995cec\"><img class=\"imgLazyJSB inlineImage\" title=\"View the MathML source\" src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si3.gif\" alt=\"View the MathML source\" width=\"120\" height=\"16\" data-inlimgeid=\"1-s2.0-S0012821X15004148-si3.gif\" data-loaded=\"true\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S0012821X15004148-si3.gif\"></a></span><span><span>&nbsp;</span>to 5.3 mm</span><sup>−3</sup><span> s</span><sup>−1</sup><span>). There is no systematic relationship between time-averaged growth or nucleation rates and the magnitude of the heating step. Ortho- and clinopyroxene together constitute 57–90 modal % mineralogy in each reaction rim. At constant temperature, clinopyroxene abundances decrease with increasing experimental duration, from 72 modal % (3 h at 900 °C) to 0% (48 h at 880 °C, and 36 h at 900 and 920 °C). Fe–Ti oxides increase from 6–12 modal % (after 3–6 h) to 26–34 modal % (after 36–48 h). Plagioclase occurs in relatively minor amounts (&lt;1–11 modal %), with anorthite contents that increase from An56 to An88 from 3 to 36 h of heating. Distal glass compositions (&gt;500 μm from reacted amphibole) are consistent with inter-microlite rim glasses (71.3–77.7 wt.% SiO</span><sub>2</sub><span>) within a given experiment and there is a weakly positive correlation between increasing run duration and inter-microlite melt SiO</span><sub>2</sub><span><span>&nbsp;</span>(68.9–78.5 wt.%). Our results indicate that experimental heating-induced amphibole reaction rims have thicknesses, textures, and mineralogies consistent with many of the natural reaction rims seen at arc-andesite volcanoes. They are also texturally consistent with experimental decompression reaction rims. On this basis it may be challenging to distinguish between decompression and heating mechanisms in nature.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2015.06.051","usgsCitation":"De Angelis, S.H., Larsen, J., Coombs, M.L., Dunn, A., and Hayden, L.A., 2015, Amphibole reaction rims as a record of pre-eruptive magmatic heating: An experimental approach: Earth and Planetary Science Letters, v. 426, p. 235-245, https://doi.org/10.1016/j.epsl.2015.06.051.","productDescription":"11 p.","startPage":"235","endPage":"245","ipdsId":"IP-051815","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2015.06.051","text":"Publisher Index Page"},{"id":346142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"426","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383e2","contributors":{"authors":[{"text":"De Angelis, S. H.","contributorId":196732,"corporation":false,"usgs":false,"family":"De Angelis","given":"S.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":711354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larsen, J.","contributorId":74544,"corporation":false,"usgs":true,"family":"Larsen","given":"J.","affiliations":[],"preferred":false,"id":711355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunn, A.","contributorId":196733,"corporation":false,"usgs":false,"family":"Dunn","given":"A.","affiliations":[],"preferred":false,"id":711357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayden, Leslie A. lhayden@usgs.gov","contributorId":5926,"corporation":false,"usgs":true,"family":"Hayden","given":"Leslie","email":"lhayden@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":711358,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70162015,"text":"70162015 - 2015 - Upgrade of the New China Digital Seismograph Network","interactions":[],"lastModifiedDate":"2016-01-13T09:54:03","indexId":"70162015","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Upgrade of the New China Digital Seismograph Network","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220140182","usgsCitation":"Anderson, D., Anderson, J., Ford, D., Gee, L.S., Gyure, G., Hutt, C.R., Kromer, E., Marshall, B., Persefield, K., Ringler, A.T., Sharratt, M., Storm, T., Wilson, D.C., Yang, D., and Zheng, Z., 2015, Upgrade of the New China Digital Seismograph Network: Seismological Research Letters, v. 86, no. 5, p. 1364-1373, https://doi.org/10.1785/0220140182.","productDescription":"10 p.","startPage":"1364","endPage":"1373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066237","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":314261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-07-29","publicationStatus":"PW","scienceBaseUri":"56978341e4b039675d00a700","contributors":{"authors":[{"text":"Anderson, D.","contributorId":9211,"corporation":false,"usgs":true,"family":"Anderson","given":"D.","affiliations":[],"preferred":false,"id":588543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, J.","contributorId":103437,"corporation":false,"usgs":true,"family":"Anderson","given":"J.","affiliations":[],"preferred":false,"id":588544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, D.","contributorId":152222,"corporation":false,"usgs":false,"family":"Ford","given":"D.","email":"","affiliations":[],"preferred":false,"id":588545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gee, Lind S. lgee@usgs.gov","contributorId":145579,"corporation":false,"usgs":true,"family":"Gee","given":"Lind","email":"lgee@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":588330,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gyure, G.","contributorId":152223,"corporation":false,"usgs":false,"family":"Gyure","given":"G.","email":"","affiliations":[],"preferred":false,"id":588546,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hutt, Charles R. 0000-0001-9033-9195 bhutt@usgs.gov","orcid":"https://orcid.org/0000-0001-9033-9195","contributorId":1622,"corporation":false,"usgs":true,"family":"Hutt","given":"Charles","email":"bhutt@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kromer, E.","contributorId":152224,"corporation":false,"usgs":false,"family":"Kromer","given":"E.","email":"","affiliations":[],"preferred":false,"id":588547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marshall, B.","contributorId":107163,"corporation":false,"usgs":true,"family":"Marshall","given":"B.","affiliations":[],"preferred":false,"id":588548,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Persefield, K.","contributorId":152226,"corporation":false,"usgs":false,"family":"Persefield","given":"K.","email":"","affiliations":[],"preferred":false,"id":588549,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":145576,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588332,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sharratt, M.","contributorId":152227,"corporation":false,"usgs":false,"family":"Sharratt","given":"M.","email":"","affiliations":[],"preferred":false,"id":588550,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Storm, Tyler 0000-0002-6787-9545 tstorm@usgs.gov","orcid":"https://orcid.org/0000-0002-6787-9545","contributorId":152165,"corporation":false,"usgs":true,"family":"Storm","given":"Tyler","email":"tstorm@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588333,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":588329,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Yang, D.","contributorId":82440,"corporation":false,"usgs":true,"family":"Yang","given":"D.","email":"","affiliations":[],"preferred":false,"id":588551,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zheng, Z.","contributorId":152228,"corporation":false,"usgs":false,"family":"Zheng","given":"Z.","email":"","affiliations":[],"preferred":false,"id":588552,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70159505,"text":"70159505 - 2015 - High mercury wet deposition at a “clean Air” site in Puerto Rico","interactions":[],"lastModifiedDate":"2018-08-09T12:55:22","indexId":"70159505","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"High mercury wet deposition at a “clean Air” site in Puerto Rico","docAbstract":"<p><span>Atmospheric mercury deposition measurements are rare in tropical latitudes. Here we report on seven years (April 2005 to April 2012, with gaps) of wet Hg deposition measurements at a tropical wet forest in the Luquillo Mountains, northeastern Puerto Rico, U.S. Despite receiving unpolluted air off the Atlantic Ocean from northeasterly trade winds, during two complete years the site averaged 27.9 &mu;g m</span><sup>&ndash;2</sup><span><span class=\"Apple-converted-space\">&nbsp;</span>yr</span><sup>&ndash;1</sup><span><span class=\"Apple-converted-space\">&nbsp;</span>wet Hg deposition, or about 30% more than Florida and the Gulf Coast, the highest deposition areas within the U.S. These high Hg deposition rates are driven in part by high rainfall, which averaged 2855 mm yr</span><sup>&ndash;1</sup><span>. The volume-weighted mean Hg concentration was 9.8 ng L</span><sup>&ndash;1</sup><span>, and was highest during summer and lowest during the winter dry season. Rainout of Hg (decreasing concentration with increasing rainfall depth) was minimal. The high Hg deposition was not supported by gaseous oxidized mercury (GOM) at ground level, which remained near global background concentrations (&lt;10 pg m</span><sup>&ndash;3</sup><span>). Rather, a strong positive correlation between Hg concentrations and the maximum height of rain detected within clouds (echo tops) suggests that droplets in high convective cloud tops scavenge GOM from above the mixing layer. The high wet Hg deposition at this &ldquo;clean air&rdquo; site suggests that other tropical areas may be hotspots for Hg deposition as well.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b02430","usgsCitation":"Shanley, J.B., Engle, M.A., Scholl, M.A., Krabbenhoft, D.P., Brunette, R., Olson, M.L., and Conroy, M.E., 2015, High mercury wet deposition at a “clean Air” site in Puerto Rico: Environmental Science & Technology, v. 49, no. 20, p. 12474-12482, https://doi.org/10.1021/acs.est.5b02430.","productDescription":"9 p.","startPage":"12474","endPage":"12482","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-024204","costCenters":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":311645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Luquillo Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -65.86990356445312,\n              18.236525215453405\n            ],\n            [\n              -65.86990356445312,\n              18.35452552912664\n            ],\n            [\n              -65.69892883300781,\n              18.35452552912664\n            ],\n            [\n              -65.69892883300781,\n              18.236525215453405\n            ],\n            [\n              -65.86990356445312,\n              18.236525215453405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"49","issue":"20","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-29","publicationStatus":"PW","scienceBaseUri":"565446c4e4b071e7ea53d4ca","chorus":{"doi":"10.1021/acs.est.5b02430","url":"http://dx.doi.org/10.1021/acs.est.5b02430","publisher":"American Chemical Society (ACS)","authors":"Shanley James B., Engle Mark A., Scholl Martha, Krabbenhoft David P., Brunette Robert, Olson Mark L., Conroy Mary E.","journalName":"Environmental Science & Technology","publicationDate":"10/20/2015"},"contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":579288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":579290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":579287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brunette, Robert","contributorId":149742,"corporation":false,"usgs":false,"family":"Brunette","given":"Robert","email":"","affiliations":[{"id":17807,"text":"Frontier Geosciences, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":579291,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olson, Mark L.","contributorId":149743,"corporation":false,"usgs":false,"family":"Olson","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":17808,"text":"University of Illinois, Champaign","active":true,"usgs":false}],"preferred":false,"id":579292,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conroy, Mary E.","contributorId":149744,"corporation":false,"usgs":false,"family":"Conroy","given":"Mary","email":"","middleInitial":"E.","affiliations":[{"id":17809,"text":"University of Vermont, Burlington","active":true,"usgs":false}],"preferred":false,"id":579293,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70159739,"text":"70159739 - 2015 - Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","interactions":[],"lastModifiedDate":"2021-09-01T16:05:43.950398","indexId":"70159739","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Re-colonization by common eiders <i>Somateria mollissima</i> in the Aleutian Archipelago following removal of introduced arctic foxes <i>Vulpes lagopus</i>","title":"Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus","docAbstract":"<p><span>Islands provide refuges for populations of many species where they find safety from predators, but the introduction of predators frequently results in elimination or dramatic reductions in island-dwelling organisms. When predators are removed, re-colonization for some species occurs naturally, and inter-island phylogeographic relationships and current movement patterns can illuminate processes of colonization. We studied a case of re-colonization of common eiders&nbsp;</span><i>Somateria mollissima</i><span>&nbsp;following removal of introduced arctic foxes&nbsp;</span><i>Vulpes lagopus</i><span>&nbsp;in the Aleutian Archipelago, Alaska. We expected common eiders to resume nesting on islands cleared of foxes and to re-colonize from nearby islets, islands, and island groups. We thus expected common eiders to show limited genetic structure indicative of extensive mixing among island populations. Satellite telemetry was used to record current movement patterns of female common eiders from six islands across three island groups. We collected genetic data from these and other nesting common eiders at 14 microsatellite loci and the mitochondrial DNA control region to examine population genetic structure, historical fluctuations in population demography, and gene flow. Our results suggest recent interchange among islands. Analysis of microsatellite data supports satellite telemetry data of increased dispersal of common eiders to nearby areas and little between island groups. Although evidence from mtDNA is suggestive of female dispersal among island groups, gene flow is insufficient to account for recolonization and rapid population growth. Instead, near-by remnant populations of common eiders contributed substantially to population expansion, without which re-colonization would have likely occurred at a much lower rate. Genetic and morphometric data of common eiders within one island group two and three decades after re-colonization suggests reduced movement of eiders among islands and little movement between island groups after populations were re-established. We predict that re-colonization of an island group where all common eiders are extirpated could take decades.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.00626","usgsCitation":"Petersen, M.R., Sonsthagen, S.A., and Sexson, M.G., 2015, Re-colonization by common eiders Somateria mollissima in the Aleutian Archipelago following removal of introduced arctic foxes Vulpes lagopus: Journal of Avian Biology, v. 46, no. 5, p. 538-549, https://doi.org/10.1111/jav.00626.","productDescription":"12 p.","startPage":"538","endPage":"549","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054807","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":311558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Andreanof Islands, Near Islands, Rat Islands,","volume":"46","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-05-12","publicationStatus":"PW","scienceBaseUri":"564f00c9e4b064dd1d09558c","contributors":{"authors":[{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":580291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":580292,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188825,"text":"70188825 - 2015 - Mid-Cretaceous oblique rifting of West Antarctica: Emplacement and rapid cooling of the Fosdick Mountains migmatite-cored gneiss dome","interactions":[],"lastModifiedDate":"2018-03-23T12:22:12","indexId":"70188825","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Mid-Cretaceous oblique rifting of West Antarctica: Emplacement and rapid cooling of the Fosdick Mountains migmatite-cored gneiss dome","docAbstract":"<p id=\"sp0005\">In Marie Byrd Land, West Antarctica, the Fosdick Mountains migmatite-cored gneiss dome was exhumed from mid- to lower middle crustal depths during the incipient stage of the West Antarctic Rift system in the mid-Cretaceous. Prior to and during exhumation, major crustal melting and deformation included transfer and emplacement of voluminous granitic material and numerous intrusions of mantle-derived diorite in dikes. A succession of melt- and magma-related structures formed at temperatures in excess of 665&nbsp;±&nbsp;50&nbsp;°C based on Ti-in-zircon thermometry. These record a transition from wrench to oblique extensional deformation that culminated in the development of the oblique South Fosdick Detachment zone. Solid-state fabrics within the detachment zone and overprinting brittle structures record translation of the detachment zone and dome to shallow levels.</p><p id=\"sp0010\">To determine the duration of exhumation and cooling, we sampled granite and gneisses at high spatial resolution for U–Pb zircon geochronology and <sup>40</sup>Ar/<sup>39</sup>Ar hornblende and biotite thermochronology. U–Pb zircon crystallization ages for the youngest granites are 102&nbsp;Ma. Three hornblende ages are 103 to 100&nbsp;Ma and 12 biotite ages are 101 to 99&nbsp;Ma. All overlap within uncertainty. The coincidence of zircon crystallization ages with <sup>40</sup>Ar/<sup>39</sup>Ar cooling ages indicates cooling rates &gt;&nbsp;100&nbsp;°C/m.y. that, when considered together with overprinting structures, indicates rapid exhumation of granite and migmatite from deep to shallow crustal levels within a transcurrent setting. Orientations of structures and age-constrained crosscutting relationships indicate counterclockwise rotation of stretching axes from oblique extension into nearly orthogonal extension with respect to the Marie Byrd Land margin. The rotation may be a result of localized extension arising from unroofing and arching of the Fosdick dome, extensional opening within a pull-apart zone, or changes in plate boundary configuration.</p><p id=\"sp0015\">The rapid tectonic and temperature evolution of the Fosdick Mountains dome lends support to recently developed numerical models of crustal flow and cooling in orogenic crust undergoing extension/transtension, and accords with numerous studies of migmatite-cored gneiss domes in transcurrent settings.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2015.07.005","usgsCitation":"McFadden, R., Teyssier, C., Siddoway, C., Cosca, M.A., and Fanning, C.M., 2015, Mid-Cretaceous oblique rifting of West Antarctica: Emplacement and rapid cooling of the Fosdick Mountains migmatite-cored gneiss dome: LITHOS, v. 232, p. 306-318, https://doi.org/10.1016/j.lithos.2015.07.005.","productDescription":"13 p.","startPage":"306","endPage":"318","ipdsId":"IP-065165","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":342863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -77.3876953125,\n              -73.3656394826721\n            ],\n            [\n              -64.5556640625,\n              -73.3656394826721\n            ],\n            [\n              -64.5556640625,\n              -69.09993967425088\n            ],\n            [\n              -77.3876953125,\n              -69.09993967425088\n            ],\n            [\n              -77.3876953125,\n              -73.3656394826721\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"232","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59521d21e4b062508e3c3681","contributors":{"authors":[{"text":"McFadden, Rory","contributorId":193449,"corporation":false,"usgs":false,"family":"McFadden","given":"Rory","email":"","affiliations":[],"preferred":false,"id":700508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teyssier, Christian","contributorId":193450,"corporation":false,"usgs":false,"family":"Teyssier","given":"Christian","email":"","affiliations":[],"preferred":false,"id":700509,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siddoway, Christine","contributorId":193451,"corporation":false,"usgs":false,"family":"Siddoway","given":"Christine","email":"","affiliations":[],"preferred":false,"id":700510,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":700507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fanning, C. Mark","contributorId":193428,"corporation":false,"usgs":false,"family":"Fanning","given":"C.","email":"","middleInitial":"Mark","affiliations":[],"preferred":false,"id":700511,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70157268,"text":"70157268 - 2015 - Improving efficiency and reliability of environmental DNA analysis for silver carp","interactions":[],"lastModifiedDate":"2015-09-17T10:54:53","indexId":"70157268","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"Improving efficiency and reliability of environmental DNA analysis for silver carp","docAbstract":"<p>Natural resource agencies have established surveillance programs which use environmental DNA (eDNA) for the early detection of bighead carp Hypophthalmichthys nobilis and silver carp Hypophthalmichthys molitrix before they establish populations within the Great Lakes. This molecular monitoring technique must be highly accurate and precise for confident interpretation and also efficient, both in detection threshold and cost. Therefore, we compared two DNA extraction techniques and compared a new quantitative PCR (qPCR) assay with the conventional PCR (cPCR) assay used by monitoring programs. Both the qPCR and cPCR assays were able to amplify the DNA of silver carp present in environmental samples taken from locations where mixed populations of bigheaded carps existed. However, the qPCR assay had substantially fewer PCR positive samples which were subsequently determined not to contain DNA of bigheaded carps than the cPCR assay. Additionally, the qPCR assay was able to amplify the DNA of bigheaded carps even in the presence of inhibitors that blocked amplification with cPCR. Also, the selection of an appropriate DNA extraction method can significantly alter the efficiency of eDNA surveillance programs by lowering detection limits and by decreasing costs associated with sample processing. The results reported herein are presently being incorporated into eDNA surveillance programs to decrease the costs, increase DNA yield and increase the confidence that assays are amplifying the target DNA. These results are critical to enhancing our ability to accurately and confidently interpret the results reported from monitoring programs using eDNA for early detection of invasive species.</p>","language":"English","publisher":"International Association for Great Lakes Research","doi":"10.1016/j.jglr.2015.02.009","collaboration":"U.S. Fish and Wildlife Service; U.S. Army Corps of Engineers","usgsCitation":"Amberg, J., McCalla, S.G., Monroe, E., Lance, R., Baerwaldt, K., and Gaikowski, M., 2015, Improving efficiency and reliability of environmental DNA analysis for silver carp: Journal of Great Lakes Research, v. 41, no. 2, p. 367-373, https://doi.org/10.1016/j.jglr.2015.02.009.","productDescription":"7 p.","startPage":"367","endPage":"373","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055644","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":471836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2015.02.009","text":"Publisher Index Page"},{"id":308240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fbe43fe4b05d6c4e5028e8","contributors":{"authors":[{"text":"Amberg, Jon J. jamberg@usgs.gov","contributorId":139518,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon J.","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCalla, S. Grace smccalla@usgs.gov","contributorId":147738,"corporation":false,"usgs":true,"family":"McCalla","given":"S.","email":"smccalla@usgs.gov","middleInitial":"Grace","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Monroe, Emy","contributorId":140978,"corporation":false,"usgs":false,"family":"Monroe","given":"Emy","affiliations":[{"id":13635,"text":"Whitney Genetics Lab, U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":572507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lance, Richard","contributorId":116452,"corporation":false,"usgs":false,"family":"Lance","given":"Richard","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":572508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baerwaldt, Kelly","contributorId":147739,"corporation":false,"usgs":false,"family":"Baerwaldt","given":"Kelly","affiliations":[{"id":16919,"text":"U.S. Army Corps of Engineers, St. Paul District","active":true,"usgs":false}],"preferred":false,"id":572509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":140353,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":572510,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70162618,"text":"70162618 - 2015 - Defining conservation targets on a landscape-scale","interactions":[],"lastModifiedDate":"2016-04-14T14:48:31","indexId":"70162618","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Defining conservation targets on a landscape-scale","docAbstract":"<p>Conservation planning, the process of deciding how to protect, conserve, enhance and(or) minimize loss of natural and cultural resources, is a fundamental process to achieve conservation success in a time of rapid environmental change. Conservation targets, the measurable expressions of desired resource conditions, are an important tool in biological planning to achieve effective outcomes. Conservation targets provide a focus for planning, design, conservation action, and collaborative monitoring of environmental trends to guide landscape-scale conservation to improve the quality and quantity of key ecological and cultural resources. It is essential to have an iterative and inclusive method to define conservation targets that is replicable and allows for the evaluation of the effectiveness of conservation targets over time. In this document, we describe a process that can be implemented to achieve landscape-scale conservation, which includes defining conservation targets. We also describe what has been accomplished to date (September 2015) through this process for the Peninsular Florida Landscape Conservation Cooperative (PFLCC).</p>","language":"English","publisher":"Peninsular Florida Landscape Conservation Cooperative website","usgsCitation":"Benscoter, A., Romanach, S.S., and Brandt, L., 2015, Defining conservation targets on a landscape-scale, iii.; 77 p.","productDescription":"iii.; 77 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070195","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":314915,"type":{"id":15,"text":"Index Page"},"url":"https://peninsularfloridalcc.org/page/conservation-targets"},{"id":320054,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -87.462158203125,\n              30.35391637229704\n            ],\n            [\n              -87.42919921875,\n              30.477082932837682\n            ],\n            [\n              -87.4072265625,\n              30.62845887475364\n            ],\n            [\n              -87.615966796875,\n              30.817346256492073\n            ],\n            [\n              -87.5830078125,\n              30.977609093348686\n            ],\n            [\n              -87.5885009765625,\n              31.01057105944174\n            ],\n            [\n              -85.02319335937499,\n              31.00115451727899\n            ],\n            [\n              -84.9737548828125,\n              30.93050081760779\n            ],\n            [\n              -84.9298095703125,\n              30.845647420182598\n            ],\n            [\n              -84.88037109375,\n              30.72294882477251\n            ],\n            [\n              -84.5343017578125,\n              30.694611546632302\n            ],\n            [\n              -82.2381591796875,\n              30.576450026618076\n            ],\n            [\n              -82.19970703125,\n              30.38235321766959\n            ],\n            [\n              -82.0458984375,\n              30.363396239603716\n            ],\n            [\n              -82.02392578125,\n              30.65681556429287\n            ],\n            [\n              -82.034912109375,\n              30.770159115784214\n            ],\n            [\n              -81.9580078125,\n              30.817346256492073\n            ],\n            [\n              -81.529541015625,\n              30.713503990354965\n            ],\n            [\n              -81.4306640625,\n              30.704058230919504\n            ],\n            [\n              -81.112060546875,\n              29.707139348134145\n            ],\n            [\n              -80.4638671875,\n              28.43971381702788\n            ],\n            [\n              -80.18920898437499,\n              27.293689224852407\n            ],\n            [\n              -79.969482421875,\n              26.47057302237511\n            ],\n            [\n              -80.035400390625,\n              25.651430347039724\n            ],\n            [\n              -80.70556640625,\n              24.686952411999155\n            ],\n            [\n              -81.82617187499999,\n              24.44714958973082\n            ],\n            [\n              -81.8701171875,\n              24.647017162630366\n            ],\n            [\n              -80.74951171875,\n              25.085598897064777\n            ],\n            [\n              -81.419677734375,\n              25.3241665257384\n            ],\n            [\n              -82.342529296875,\n              26.46073804319089\n            ],\n            [\n              -82.97973632812499,\n              27.60567082646547\n            ],\n            [\n              -82.957763671875,\n              28.69058765425071\n            ],\n            [\n              -83.682861328125,\n              29.67850809103362\n            ],\n            [\n              -83.968505859375,\n              29.80251790576445\n            ],\n            [\n              -85.330810546875,\n              29.52567042617583\n            ],\n            [\n              -85.902099609375,\n              29.983486718474694\n            ],\n            [\n              -87.242431640625,\n              30.24957724046765\n            ],\n            [\n              -87.451171875,\n              30.240086360983426\n            ],\n            [\n              -87.462158203125,\n              30.35391637229704\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5710bf2de4b0ef3b7ca55134","contributors":{"authors":[{"text":"Benscoter, A.M.","contributorId":120151,"corporation":false,"usgs":true,"family":"Benscoter","given":"A.M.","email":"","affiliations":[],"preferred":false,"id":589918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":589917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Laura A.","contributorId":18608,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura A.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":589919,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70186701,"text":"70186701 - 2015 - Mineral Resource of the Month:  Bromine","interactions":[],"lastModifiedDate":"2017-04-07T13:01:24","indexId":"70186701","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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:  Bromine","docAbstract":"<p><span>Bromine, along with mercury, is one of only two elements that are liquid at room temperature. Bromine is a highly volatile and corrosive reddish-brown liquid that evaporates easily and converts to a metal at extreme pressures — above about 540,000 times atmospheric pressure. Bromine occurs in seawater, evaporitic (salt) lakes and underground brines associated with petroleum deposits.&nbsp;</span></p>","language":"English","publisher":"AGI","usgsCitation":"Schnebele, E., 2015, Mineral Resource of the Month:  Bromine: Earth, v. September 2015, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-066750","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":339439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":339415,"type":{"id":15,"text":"Index Page"},"url":"https://www.earthmagazine.org/article/mineral-resource-month-bromine"}],"volume":"September 2015","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e8a544e4b09da6799d63a9","contributors":{"authors":[{"text":"Schnebele, Emily eschnebele@usgs.gov","contributorId":190190,"corporation":false,"usgs":true,"family":"Schnebele","given":"Emily","email":"eschnebele@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":690315,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70168977,"text":"70168977 - 2015 - Sediment yields from small, steep coastal watersheds of California","interactions":[],"lastModifiedDate":"2016-03-10T09:35:29","indexId":"70168977","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Sediment yields from small, steep coastal watersheds of California","docAbstract":"<p>Global inventories of sediment discharge to the ocean highlight the importance of small, steep watersheds (i.e., those having drainage areas less than 100,000 km2 and over 1000 m of relief) that collectively provide a dominant flux of sediment. The smallest of these coastal watersheds (e.g., those that have drainage areas less than 1000 km2) can represent a large portion of the drainage areas of active margin coasts, such as California&rsquo;s coast, but remain almost universally unmonitored. Here we report on the suspended-sediment discharge of several small coastal watersheds (10-56 km2) of the Santa Ynez Mountains, California, that were found to have ephemeral discharge and suspended-sediment concentrations ranging between 1 and over 200,000 mgL-1. Sediment concentrations were weakly correlated with discharge (r2 = 0.10&ndash;0.25), and all types of hysteresis patterns were observed during high flows (clockwise, counterclockwise, no hysteresis, and complex). Sediment discharge varied strongly with time and was measurably elevated in one watershed following a wildfire. Although sediment yields varied by over 100-fold across the watersheds (e.g., 15 &ndash; 2100 tkm-2 yr -1during the relatively wet 2005 water year), the majority of sediment discharge (65-80%) occurred during only 1% of the time for all watersheds. Furthermore, sampling of dozens of high flow events provides evidence that sediment yields were generally related to peak discharge yields, although these relationships were not consistent across the watersheds. These results suggest that small watersheds of active margins can provide large fluxes of sediment to the coast, but that the rates and timing of this sediment discharge is more irregular in time &ndash; and thus more difficult to characterize &ndash; than the better monitored and studied watersheds that are 1000-100,000 km2.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.08.004","usgsCitation":"Warrick, J., Melack, J.M., and Goodridge, B.M., 2015, Sediment yields from small, steep coastal watersheds of California: Journal of Hydrology: Regional Studies, v. 4, no. Part B, p. 516-534, https://doi.org/10.1016/j.ejrh.2015.08.004.","productDescription":"19 p.","startPage":"516","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052345","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471830,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.08.004","text":"Publisher Index Page"},{"id":318770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Channel","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.69305419921874,\n              33.831638461142866\n            ],\n            [\n              -120.69305419921874,\n              34.69194468425019\n            ],\n            [\n              -118.50952148437499,\n              34.69194468425019\n            ],\n            [\n              -118.50952148437499,\n              33.831638461142866\n            ],\n            [\n              -120.69305419921874,\n              33.831638461142866\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"Part B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e2a8cce4b0f59b85d391b0","contributors":{"authors":[{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":146720,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan A.","email":"jwarrick@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":622424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melack, John M.","contributorId":167466,"corporation":false,"usgs":false,"family":"Melack","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goodridge, Blair M.","contributorId":167467,"corporation":false,"usgs":false,"family":"Goodridge","given":"Blair","email":"","middleInitial":"M.","affiliations":[{"id":24713,"text":"Bren School of Environmental Science and Management, University of California, Santa Barbara, California, USA","active":true,"usgs":false}],"preferred":false,"id":622426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187279,"text":"70187279 - 2015 - Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","interactions":[],"lastModifiedDate":"2017-04-28T10:47:35","indexId":"70187279","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","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":"Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system","docAbstract":"<p><span>We developed a hierarchical multistate model to estimate survival of Atlantic salmon (</span><i>Salmo salar</i><span>) smolts in the Penobscot River, USA, over a decade during which two mainstem dams were removed from the catchment. We investigated effects of (</span><i>i</i><span>) environmental factors, (</span><i>ii</i><span>) rearing history, and (</span><i>iii</i><span>) management actions, including dam removal, turbine shutdown, and installation of new powerhouses. Mean ± SD smolt survival per kilometre was higher through free-flowing reaches of the catchment (0.995 ± 0.004·km</span><sup>−1</sup><span>) than through reaches containing dams that remain in the system (0.970 ± 0.019·km</span><sup>−1</sup><span>). We observed maximum survival between 12 and 17 °C and at intermediate discharges (1200 m</span><sup>3</sup><span>·s</span><sup>−1</sup><span>). Smolt survival increased concurrent with dam removal and decreased following increases in hydropower generation. The greatest increase in smolt survival followed seasonal turbine shutdowns at a dam located on the largest tributary to the Penobscot River, while other shutdowns had little influence. Our model provides a useful tool for assessing changes to survival of migratory species and will be useful for informing stocking plans to maximize numbers of smolts leaving coastal systems.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0573","usgsCitation":"Stich, D.S., Bailey, M.M., Holbrook, C., Kinnison, M.T., and Zydlewski, J.D., 2015, Catchment-wide survival of wild- and hatchery-reared Atlantic salmon smolts in a changing system: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 9, p. 1352-1365, https://doi.org/10.1139/cjfas-2014-0573.","productDescription":"14 p.","startPage":"1352","endPage":"1365","ipdsId":"IP-060933","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"72","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a7e4b022cee40dc24e","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":693447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Michael M.","contributorId":169684,"corporation":false,"usgs":false,"family":"Bailey","given":"Michael","email":"","middleInitial":"M.","affiliations":[{"id":25572,"text":"University of Maine, Orono","active":true,"usgs":false}],"preferred":false,"id":693448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":4198,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher M.","email":"cholbrook@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":693449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":693450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":693210,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70156131,"text":"70156131 - 2015 - Estimating annualized earthquake losses for the conterminous United States","interactions":[],"lastModifiedDate":"2016-06-29T13:19:16","indexId":"70156131","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Estimating annualized earthquake losses for the conterminous United States","docAbstract":"<p>We make use of the most recent National Seismic Hazard Maps (the years 2008 and 2014 cycles), updated census data on population, and economic exposure estimates of general building stock to quantify annualized earthquake loss (AEL) for the conterminous United States. The AEL analyses were performed using the Federal Emergency Management Agency's (FEMA) Hazus software, which facilitated a systematic comparison of the influence of the 2014 National Seismic Hazard Maps in terms of annualized loss estimates in different parts of the country. The losses from an individual earthquake could easily exceed many tens of billions of dollars, and the long-term averaged value of losses from all earthquakes within the conterminous U.S. has been estimated to be a few billion dollars per year. This study estimated nationwide losses to be approximately $4.5 billion per year (in 2012$), roughly 80% of which can be attributed to the States of California, Oregon and Washington. We document the change in estimated AELs arising solely from the change in the assumed hazard map. The change from the 2008 map to the 2014 map results in a 10 to 20% reduction in AELs for the highly seismic States of the Western United States, whereas the reduction is even more significant for Central and Eastern United States.</p>","language":"English","publisher":"Earthquake Engineering Research Institute","publisherLocation":"Berkeley","doi":"10.1193/010915EQS005M","usgsCitation":"Jaiswal, K.S., Bausch, D., Chen, R., Bouabid, J., and Seligson, H., 2015, Estimating annualized earthquake losses for the conterminous United States: Earthquake Spectra, v. 31, no. S1, p. 221-243, https://doi.org/10.1193/010915EQS005M.","productDescription":"23 p.","startPage":"221","endPage":"243","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068268","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":471831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1193/010915eqs005m","text":"Publisher Index Page"},{"id":310768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.18505859374999,\n              25.97779895546436\n            ],\n            [\n              -97.42675781249999,\n              25.878994400196202\n            ],\n            [\n              -98.2177734375,\n              26.115985925333536\n            ],\n            [\n              -99.0966796875,\n              26.47057302237511\n            ],\n            [\n              -99.580078125,\n              27.625140335093324\n            ],\n            [\n              -100.283203125,\n              28.265682390146477\n            ],\n            [\n              -100.83251953125,\n              29.305561325527698\n            ],\n            [\n              -101.27197265625,\n              29.592565403314087\n            ],\n            [\n              -101.49169921875,\n              29.80251790576445\n            ],\n            [\n              -102.67822265625,\n              29.76437737516313\n            ],\n            [\n              -103.11767578124999,\n              29.036960648558267\n            ],\n            [\n              -104.47998046875,\n              29.611670115197377\n            ],\n            [\n              -104.7216796875,\n              29.973970240516614\n            ],\n            [\n              -104.69970703125,\n              30.20211367909724\n            ],\n            [\n              -104.9853515625,\n              30.675715404167743\n            ],\n            [\n              -106.12792968749999,\n              31.44741029142872\n            ],\n            [\n              -106.45751953125,\n              31.80289258670676\n            ],\n            [\n              -108.21533203125,\n              31.784216884487385\n            ],\n            [\n              -108.204345703125,\n              31.344254455668054\n            ],\n            [\n              -110.98388671874999,\n              31.3348710339506\n            ],\n            [\n              -114.82910156249999,\n              32.52828936482526\n            ],\n            [\n              -114.7412109375,\n              32.731840896865684\n            ],\n            [\n              -117.13623046874999,\n              32.54681317351514\n            ],\n            [\n              -117.3779296875,\n              33.211116472416855\n            ],\n            [\n              -118.23486328125,\n              33.779147331286474\n            ],\n            [\n              -118.564453125,\n              34.043556504127444\n            ],\n            [\n              -118.94897460937499,\n              34.052659421375964\n            ],\n            [\n              -119.2236328125,\n              34.161818161230386\n            ],\n            [\n              -119.66308593749999,\n              34.470335121217495\n            ],\n            [\n              -120.44311523437499,\n              34.45221847282654\n            ],\n            [\n              -120.640869140625,\n              34.56990638085636\n            ],\n            [\n              -120.673828125,\n              35.137879119634185\n            ],\n            [\n              -121.9482421875,\n              36.4566360115962\n            ],\n            [\n              -121.83837890625,\n              36.721273880045004\n            ],\n            [\n              -121.88232421875,\n              36.949891786813296\n            ],\n            [\n              -122.05810546875,\n              36.96744946416931\n            ],\n            [\n              -122.40966796874999,\n              37.23032838760387\n            ],\n            [\n              -122.56347656249999,\n              37.71859032558816\n            ],\n            [\n              -122.67333984374999,\n              37.90953361677018\n            ],\n            [\n              -123.00292968749999,\n              37.996162679728116\n            ],\n            [\n              -123.02490234375,\n              38.238180119798635\n            ],\n            [\n              -123.74999999999999,\n              38.92522904714054\n            ],\n            [\n              -123.85986328124999,\n              39.757879992021756\n            ],\n            [\n              -124.365234375,\n              40.27952566881291\n            ],\n            [\n              -124.4091796875,\n              40.463666324587685\n            ],\n            [\n              -124.18945312500001,\n              41.07935114946899\n            ],\n            [\n              -124.0576171875,\n              41.60722821271717\n            ],\n            [\n              -124.29931640625,\n              42.00032514831621\n            ],\n            [\n              -124.49707031249999,\n              42.827638636242284\n            ],\n            [\n              -124.16748046874999,\n              43.83452678223684\n            ],\n            [\n              -124.03564453125,\n              45.058001435398296\n            ],\n            [\n              -124.03564453125,\n              46.30140615437332\n            ],\n            [\n              -124.25537109375,\n              47.41322033016902\n            ],\n            [\n              -124.62890625,\n              47.91634204016118\n            ],\n            [\n              -124.69482421875,\n              48.4146186174932\n            ],\n            [\n              -123.96972656249999,\n              48.188063481211415\n            ],\n            [\n              -123.134765625,\n              48.17341248658084\n            ],\n            [\n              -122.78320312499999,\n              48.246625590713826\n            ],\n            [\n              -122.81616210937499,\n              48.42920055556841\n            ],\n            [\n              -123.18969726562499,\n              48.50204750525715\n            ],\n            [\n              -123.24462890625,\n              48.69096039092549\n            ],\n            [\n              -122.728271484375,\n              48.77067246880509\n            ],\n            [\n              -122.82714843749999,\n              49.001843917978526\n            ],\n            [\n              -95.174560546875,\n              49.01625665778159\n            ],\n            [\n              -95.152587890625,\n              49.38237278700955\n            ],\n            [\n              -94.81201171875,\n              49.31796095602274\n            ],\n            [\n              -94.669189453125,\n              48.777912755501845\n            ],\n            [\n              -93.834228515625,\n              48.63290858589532\n            ],\n            [\n              -93.8232421875,\n              48.516604348867475\n            ],\n            [\n              -93.44970703125,\n              48.56752037390827\n            ],\n            [\n              -93.33984375,\n              48.66194284607008\n            ],\n            [\n              -92.59277343749999,\n              48.531157010976706\n            ],\n            [\n              -92.08740234375,\n              48.37084770238363\n            ],\n            [\n              -91.4501953125,\n              48.06339653776211\n            ],\n            [\n              -91.07666015625,\n              48.19538740833338\n            ],\n            [\n              -90.8349609375,\n              48.23930899024905\n            ],\n            [\n              -90.791015625,\n              48.10743118848039\n            ],\n            [\n              -89.62646484375,\n              48.019324184801185\n            ],\n            [\n              -89.3463134765625,\n              47.98256841921402\n            ],\n            [\n              -88.3795166015625,\n              48.31973404047173\n            ],\n            [\n              -84.847412109375,\n              46.897739085507\n            ],\n            [\n              -84.55078125,\n              46.464349400461124\n            ],\n            [\n              -84.4134521484375,\n              46.49839225859763\n            ],\n            [\n              -84.19921875,\n              46.53619267489863\n            ],\n            [\n              -84.1058349609375,\n              46.51351558059737\n            ],\n            [\n              -84.122314453125,\n              46.320378031062354\n            ],\n            [\n              -84.00146484374999,\n              46.15700496290803\n            ],\n            [\n              -83.95751953125,\n              46.06560846138691\n            ],\n            [\n              -83.81469726562499,\n              46.11132565729796\n            ],\n            [\n              -83.6334228515625,\n              46.11894150610708\n            ],\n            [\n              -83.42468261718749,\n              46.0007775685566\n            ],\n            [\n              -83.583984375,\n              45.82497145796607\n            ],\n            [\n              -82.518310546875,\n              45.32897866218559\n            ],\n            [\n              -82.12280273437499,\n              43.57243174740972\n            ],\n            [\n              -82.40295410156249,\n              43.000629854450025\n            ],\n            [\n              -82.474365234375,\n              42.79136972365016\n            ],\n            [\n              -82.5732421875,\n              42.5611728553181\n            ],\n            [\n              -82.8533935546875,\n              42.370720143531955\n            ],\n            [\n              -83.07861328125,\n              42.32200108060303\n            ],\n            [\n              -83.12255859375,\n              42.14304156290942\n            ],\n            [\n              -83.14453125,\n              42.04521345501039\n            ],\n            [\n              -83.07861328125,\n              41.86956082699455\n            ],\n            [\n              -82.6776123046875,\n              41.68111756290652\n            ],\n            [\n              -82.3974609375,\n              41.68111756290652\n            ],\n            [\n              -81.243896484375,\n              42.21224516288584\n            ],\n            [\n              -80.09033203125,\n              42.39506551565123\n            ],\n            [\n              -78.9532470703125,\n              42.827638636242284\n            ],\n            [\n              -78.91754150390625,\n              42.95039177450287\n            ],\n            [\n              -79.06585693359375,\n              43.092960677116295\n            ],\n            [\n              -79.06036376953125,\n              43.26120612479979\n            ],\n            [\n              -79.19769287109375,\n              43.45291889355465\n            ],\n            [\n              -78.6895751953125,\n              43.632099415557754\n            ],\n            [\n              -76.7999267578125,\n              43.64005063334694\n            ],\n            [\n              -76.4483642578125,\n              44.11125397357153\n            ],\n            [\n              -75.7781982421875,\n              44.51609322284931\n            ],\n            [\n              -75.30029296875,\n              44.84029065139799\n            ],\n            [\n              -74.827880859375,\n              45.02695045318546\n            ],\n            [\n              -71.510009765625,\n              45.02695045318546\n            ],\n            [\n              -71.3232421875,\n              45.29034662473615\n            ],\n            [\n              -70.653076171875,\n              45.42158812329091\n            ],\n            [\n              -70.68603515625,\n              45.537136680398596\n            ],\n            [\n              -70.301513671875,\n              45.920587344733654\n            ],\n            [\n              -70.2685546875,\n              46.240651955001695\n            ],\n            [\n              -70.059814453125,\n              46.40756396630067\n            ],\n            [\n              -69.993896484375,\n              46.694667307773116\n            ],\n            [\n              -69.246826171875,\n              47.46523622438362\n            ],\n            [\n              -69.01611328125,\n              47.4355191531953\n            ],\n            [\n              -69.0380859375,\n              47.26432008025478\n            ],\n            [\n              -68.93920898437499,\n              47.19717795172789\n            ],\n            [\n              -68.35693359375,\n              47.36115300722623\n            ],\n            [\n              -67.763671875,\n              47.06263847995432\n            ],\n            [\n              -67.78564453125,\n              45.706179285330855\n            ],\n            [\n              -67.423095703125,\n              45.5679096098613\n            ],\n            [\n              -67.423095703125,\n              45.22074260255366\n            ],\n            [\n              -67.17041015625,\n              45.174292524076726\n            ],\n            [\n              -66.961669921875,\n              44.85586880735725\n            ],\n            [\n              -67.24731445312499,\n              44.63739123445585\n            ],\n            [\n              -68.236083984375,\n              44.308126684886126\n            ],\n            [\n              -68.258056640625,\n              44.20583500104184\n            ],\n            [\n              -69.06005859375,\n              44.04811573082351\n            ],\n            [\n              -69.80712890625,\n              43.73935207915473\n            ],\n            [\n              -70.048828125,\n              43.78695837311561\n            ],\n            [\n              -70.2081298828125,\n              43.73538317799622\n            ],\n            [\n              -70.191650390625,\n              43.58039085560786\n            ],\n            [\n              -70.587158203125,\n              43.25320494908846\n            ],\n            [\n              -70.81787109374999,\n              42.89206418807337\n            ],\n            [\n              -70.76568603515625,\n              42.70060440808085\n            ],\n            [\n              -70.68603515625,\n              42.66426107379467\n            ],\n            [\n              -70.63934326171875,\n              42.69051116998241\n            ],\n            [\n              -70.59814453125,\n              42.65416193033991\n            ],\n            [\n              -70.6585693359375,\n              42.589488572714245\n            ],\n            [\n              -70.8782958984375,\n              42.54498667313236\n            ],\n            [\n              -70.83984375,\n              42.508552415528634\n            ],\n            [\n              -70.9771728515625,\n              42.44372793752476\n            ],\n            [\n              -70.97442626953125,\n              42.391008609205045\n            ],\n            [\n              -70.8343505859375,\n              42.26917949243506\n            ],\n            [\n              -70.75469970703125,\n              42.24681856113825\n            ],\n            [\n              -70.64208984375,\n              42.07783959017503\n            ],\n            [\n              -70.5487060546875,\n              41.92680320648791\n            ],\n            [\n              -70.53497314453125,\n              41.820455096140314\n            ],\n            [\n              -70.42785644531249,\n              41.74672584176937\n            ],\n            [\n              -70.21636962890625,\n              41.73852846935917\n            ],\n            [\n              -70.0323486328125,\n              41.781552998900345\n            ],\n            [\n              -70.0103759765625,\n              41.85319643776675\n            ],\n            [\n              -70.0762939453125,\n              41.90432124806034\n            ],\n            [\n              -70.09277343749999,\n              42.02889410108475\n            ],\n            [\n              -70.16143798828125,\n              42.05948945192712\n            ],\n            [\n              -70.1751708984375,\n              42.01869237684385\n            ],\n            [\n              -70.24932861328125,\n              42.06356771883277\n            ],\n            [\n              -70.22186279296875,\n              42.07987816698549\n            ],\n            [\n              -70.13946533203124,\n              42.07580094787543\n            ],\n            [\n              -70.02960205078125,\n              42.02889410108475\n            ],\n            [\n              -69.96917724609375,\n              41.916585116228354\n            ],\n            [\n              -69.93072509765625,\n              41.7856490686444\n            ],\n            [\n              -69.93072509765625,\n              41.6770148220322\n            ],\n            [\n              -69.971923828125,\n              41.61338889474735\n            ],\n            [\n              -69.949951171875,\n              41.253032440653186\n            ],\n            [\n              -70.11199951171875,\n              41.23238023874142\n            ],\n            [\n              -70.279541015625,\n              41.304634388885916\n            ],\n            [\n              -70.44158935546875,\n              41.347948493443546\n            ],\n            [\n              -70.675048828125,\n              41.3500103516271\n            ],\n            [\n              -70.7684326171875,\n              41.31494988250963\n            ],\n            [\n              -70.7958984375,\n              41.29844430929419\n            ],\n            [\n              -71.03759765625,\n              41.49623534616764\n            ],\n            [\n              -71.10076904296875,\n              41.50034959128928\n            ],\n            [\n              -71.180419921875,\n              41.46125371076149\n            ],\n            [\n              -71.3616943359375,\n              41.45507852101139\n            ],\n            [\n              -71.44683837890625,\n              41.43654942411456\n            ],\n            [\n              -71.4935302734375,\n              41.36031866306708\n            ],\n            [\n              -71.531982421875,\n              41.16004614168688\n            ],\n            [\n              -71.97967529296874,\n              41.01928287604565\n            ],\n            [\n              -72.86956787109375,\n              40.724364221722716\n            ],\n            [\n              -73.33099365234375,\n              40.61812224225511\n            ],\n            [\n              -73.75946044921875,\n              40.58267063809529\n            ],\n            [\n              -73.92425537109375,\n              40.543026009954986\n            ],\n            [\n              -73.9874267578125,\n              40.46993497635153\n            ],\n            [\n              -73.96820068359375,\n              40.319325896602095\n            ],\n            [\n              -74.07806396484375,\n              39.928694653732364\n            ],\n            [\n              -74.1357421875,\n              39.631076770083666\n            ],\n            [\n              -74.3994140625,\n              39.364032338047984\n            ],\n            [\n              -74.6356201171875,\n              39.21948715423953\n            ],\n            [\n              -74.8004150390625,\n              38.96795115401593\n            ],\n            [\n              -74.96520996093749,\n              38.929502416386605\n            ],\n            [\n              -75.07507324218749,\n              38.775499003812946\n            ],\n            [\n              -75.0421142578125,\n              38.47939467327645\n            ],\n            [\n              -75.16845703124999,\n              38.004819966413194\n            ],\n            [\n              -75.574951171875,\n              37.65773212628274\n            ],\n            [\n              -75.882568359375,\n              37.16907157713011\n            ],\n            [\n              -75.9814453125,\n              36.88840804313823\n            ],\n            [\n              -75.706787109375,\n              36.16448788632064\n            ],\n            [\n              -75.443115234375,\n              35.7019167328534\n            ],\n            [\n              -75.52001953125,\n              35.22767235493586\n            ],\n            [\n              -76.00341796875,\n              35.10193405724606\n            ],\n            [\n              -76.519775390625,\n              34.6241677899049\n            ],\n            [\n              -76.783447265625,\n              34.66935854524543\n            ],\n            [\n              -77.2119140625,\n              34.58799745550482\n            ],\n            [\n              -77.596435546875,\n              34.37064492478658\n            ],\n            [\n              -77.87109375,\n              34.043556504127444\n            ],\n            [\n              -77.93701171875,\n              33.797408767572485\n            ],\n            [\n              -78.167724609375,\n              33.87041555094183\n            ],\n            [\n              -78.662109375,\n              33.8430453147447\n            ],\n            [\n              -79.013671875,\n              33.568861182555565\n            ],\n            [\n              -79.156494140625,\n              33.32134852669881\n            ],\n            [\n              -79.1455078125,\n              33.201924189778936\n            ],\n            [\n              -79.69482421875,\n              32.7872745269555\n            ],\n            [\n              -80.43090820312499,\n              32.47269502206151\n            ],\n            [\n              -80.44189453125,\n              32.32427558887655\n            ],\n            [\n              -80.83740234375,\n              32.0732655510424\n            ],\n            [\n              -81.265869140625,\n              31.42866311735861\n            ],\n            [\n              -81.419677734375,\n              30.760718908944472\n            ],\n            [\n              -81.34277343749999,\n              29.99300228455108\n            ],\n            [\n              -80.936279296875,\n              29.1233732108192\n            ],\n            [\n              -80.52978515625,\n              28.488005204159457\n            ],\n            [\n              -80.606689453125,\n              28.372068829631633\n            ],\n            [\n              -80.474853515625,\n              27.848790459862073\n            ],\n            [\n              -80.068359375,\n              26.95145308349826\n            ],\n            [\n              -80.079345703125,\n              26.2145910237943\n            ],\n            [\n              -80.167236328125,\n              25.37380917154398\n            ],\n            [\n              -80.79345703125,\n              24.87646991083154\n            ],\n            [\n              -80.9033203125,\n              24.856534339310674\n            ],\n            [\n              -81.177978515625,\n              25.21488107113259\n            ],\n            [\n              -81.2548828125,\n              25.54244147012483\n            ],\n            [\n              -81.551513671875,\n              25.878994400196202\n            ],\n            [\n              -81.67236328125,\n              25.86910939099931\n            ],\n            [\n              -81.89208984375,\n              26.441065564038418\n            ],\n            [\n              -82.11181640625,\n              26.43122806450644\n            ],\n            [\n              -82.298583984375,\n              26.833874515058554\n            ],\n            [\n              -82.63916015625,\n              27.371767300523047\n            ],\n            [\n              -82.869873046875,\n              27.89734922968426\n            ],\n            [\n              -82.72705078125,\n              28.391400375817753\n            ],\n            [\n              -82.7490234375,\n              29.046565622728846\n            ],\n            [\n              -83.023681640625,\n              29.180941290001776\n            ],\n            [\n              -83.8916015625,\n              30.0405664305846\n            ],\n            [\n              -84.3310546875,\n              30.097613277217132\n            ],\n            [\n              -84.320068359375,\n              29.907329376851553\n            ],\n            [\n              -85.05615234375,\n              29.592565403314087\n            ],\n            [\n              -85.36376953125,\n              29.66896252599253\n            ],\n            [\n              -86.02294921875,\n              30.29701788337205\n            ],\n            [\n              -87.03369140625,\n              30.372875188118016\n            ],\n            [\n              -88.17626953125,\n              30.221101852485987\n            ],\n            [\n              -89.27490234375,\n              30.240086360983426\n            ],\n            [\n              -89.31884765624999,\n              29.76437737516313\n            ],\n            [\n              -89.47265625,\n              29.554345125748267\n            ],\n            [\n              -88.9013671875,\n              29.267232865200878\n            ],\n            [\n              -89.27490234375,\n              28.8831596093235\n            ],\n            [\n              -89.69238281249999,\n              29.209713225868185\n            ],\n            [\n              -90.2197265625,\n              29.075375179558346\n            ],\n            [\n              -91.01074218749999,\n              29.0945770775118\n            ],\n            [\n              -91.4501953125,\n              29.34387539941801\n            ],\n            [\n              -92.46093749999999,\n              29.53522956294847\n            ],\n            [\n              -93.44970703125,\n              29.726222319395504\n            ],\n            [\n              -94.52636718749999,\n              29.477861195816843\n            ],\n            [\n              -95.2294921875,\n              29.05616970274342\n            ],\n            [\n              -96.064453125,\n              28.5941685062326\n            ],\n            [\n              -96.767578125,\n              28.16887518006332\n            ],\n            [\n              -97.27294921875,\n              27.68352808378776\n            ],\n            [\n              -97.3388671875,\n              26.980828590472107\n            ],\n            [\n              -97.18505859374999,\n              25.97779895546436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"S1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-01","publicationStatus":"PW","scienceBaseUri":"5633433ae4b048076347eec4","contributors":{"authors":[{"text":"Jaiswal, Kishor S. kjaiswal@usgs.gov","contributorId":146444,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":567898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bausch, Douglas","contributorId":115258,"corporation":false,"usgs":true,"family":"Bausch","given":"Douglas","affiliations":[],"preferred":false,"id":567899,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Rui","contributorId":78250,"corporation":false,"usgs":true,"family":"Chen","given":"Rui","affiliations":[],"preferred":false,"id":567900,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bouabid, Jawhar","contributorId":146445,"corporation":false,"usgs":false,"family":"Bouabid","given":"Jawhar","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":567901,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Seligson, Hope","contributorId":65564,"corporation":false,"usgs":true,"family":"Seligson","given":"Hope","affiliations":[],"preferred":false,"id":567902,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70159295,"text":"70159295 - 2015 - Effects of elevated water temperature on physiological responses in adult freshwater mussels","interactions":[],"lastModifiedDate":"2015-10-20T15:31:28","indexId":"70159295","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of elevated water temperature on physiological responses in adult freshwater mussels","docAbstract":"<ol id=\"fwb12603-list-0001\" class=\"numbered\">\n<li>Freshwater mussels (order Unionoida) face multiple environmental stressors, which pose serious conservation challenges to this diverse assemblage of aquatic invertebrates. Of these stressors, elevated water temperature from global climate change and other anthropogenic sources may be the most ubiquitous and could be placing many mussel populations dangerously close to their thermal maxima.</li>\n<li>We tested the hypothesis that elevated water temperatures (20, 25, 30 and 35&nbsp;&deg;C) adversely affected physiological responses in adults of four North American species of mussels (<i>Amblema plicata</i>,<i>&nbsp;Elliptio complanata, Fusconaia flava</i>&nbsp;and&nbsp;<i>Lampsilis cardium)</i>&nbsp;in 21-d laboratory tests.</li>\n<li>Oxygen consumption rates were directly affected by temperature in&nbsp;<i>E.&nbsp;complanata</i>&nbsp;and&nbsp;<i>L.&nbsp;cardium</i>, and indirectly affected by temperature in&nbsp;<i>A.&nbsp;plicata</i>&nbsp;and&nbsp;<i>F.&nbsp;flava</i>. Rates of O<sub>2</sub>&nbsp;consumption were generally positively correlated with water temperature. Ammonium excretion rates varied significantly with temperature in&nbsp;<i>E.&nbsp;complanata</i>&nbsp;and generally increased with temperature. The amount of O<sub>2</sub>&nbsp;consumed relative to nitrogen excreted (O&nbsp;:&nbsp;N ratio), varied significantly with temperature in&nbsp;<i>A.&nbsp;plicata</i>,<i>&nbsp;E.&nbsp;complanata</i>&nbsp;and<i>F.&nbsp;flava</i>. The tissue condition index varied among temperatures and species.</li>\n<li>These data suggest that elevated temperatures can alter metabolic rates in native mussels and may decrease the amount of energy that is available for key biological processes, such as survival, growth and reproduction.</li>\n</ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.12603","usgsCitation":"Ganser, A.M., Newton, T., and Haro, R.J., 2015, Effects of elevated water temperature on physiological responses in adult freshwater mussels: Freshwater Biology, v. 60, no. 8, p. 1705-1715, https://doi.org/10.1111/fwb.12603.","productDescription":"12 p.","startPage":"1705","endPage":"1715","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":310201,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"8","noUsgsAuthors":false,"publicationDate":"2015-05-25","publicationStatus":"PW","scienceBaseUri":"562765bbe4b0d158f592652c","contributors":{"authors":[{"text":"Ganser, Alissa M.","contributorId":21855,"corporation":false,"usgs":true,"family":"Ganser","given":"Alissa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":577975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":577976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haro, Roger J.","contributorId":12813,"corporation":false,"usgs":true,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577977,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70157198,"text":"70157198 - 2015 - The forcing of monthly precipitation variability over Southwest Asia during the Boreal cold season","interactions":[],"lastModifiedDate":"2018-03-27T13:00:59","indexId":"70157198","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2216,"text":"Journal of Climate","active":true,"publicationSubtype":{"id":10}},"title":"The forcing of monthly precipitation variability over Southwest Asia during the Boreal cold season","docAbstract":"<p>Southwest Asia, deemed as the region containing the countries of Afghanistan, Iran, Iraq and Pakistan, is water scarce and receives nearly 75% of its annual rainfall during8 the boreal cold season of November-April. The forcing of Southwest Asia precipitation has been previously examined for the entire boreal cold season from the perspective of climate variability originating over the Atlantic and tropical Indo-Pacific Oceans. Here, we examine the inter-monthly differences in precipitation variability over Southwest Asia and the atmospheric conditions directly responsible in forcing monthly November-April precipitation. Seasonally averaged November-April precipitation over Southwest Asia is significantly correlated with sea surface temperature (SST) patterns consistent with Pacific Decadal Variability (PDV), the El Nino-Southern Oscillation (ENSO) and the warming trend of SST (Trend). On the contrary, the precipitation variability during individual months of November-April are unrelated and are correlated with SST signatures that include PDV, ENSO and Trend in different combinations. Despite strong inter-monthly differences in precipitation variability during November- April over Southwest Asia, similar atmospheric circulations, highlighted by a stationary equivalent barotropic Rossby wave centered over Iraq, force the monthly spatial distributions of precipitation. Tropospheric waves on the eastern side of the equivalent barotropic Rossby wave modifies the flux of moisture and advects the mean temperature gradient, resulting in temperature advection that is balanced by vertical motions over Southwest Asia. The forcing of monthly Southwest Asia precipitation by equivalent barotropic Rossby waves is different than the forcing by baroclinic Rossby waves associated with tropically-forced-only modes of climate variability.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JCLI-D-14-00757.1","usgsCitation":"Hoell, A., Shukla, S., Barlow, M., Cannon, F., Kelley, C., and Funk, C.C., 2015, The forcing of monthly precipitation variability over Southwest Asia during the Boreal cold season: Journal of Climate, v. 28, no. 18, p. 7038-7056, https://doi.org/10.1175/JCLI-D-14-00757.1.","productDescription":"19 p.","startPage":"7038","endPage":"7056","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066985","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":471828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jcli-d-14-00757.1","text":"Publisher Index Page"},{"id":308331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"18","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-11","publicationStatus":"PW","scienceBaseUri":"56012aaee4b03bc34f544439","contributors":{"authors":[{"text":"Hoell, Andrew","contributorId":145803,"corporation":false,"usgs":false,"family":"Hoell","given":"Andrew","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":572236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shukla, Shraddhanand","contributorId":145841,"corporation":false,"usgs":false,"family":"Shukla","given":"Shraddhanand","affiliations":[{"id":16255,"text":"Climate Hazards Group University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":572237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barlow, Mathew","contributorId":145834,"corporation":false,"usgs":false,"family":"Barlow","given":"Mathew","affiliations":[{"id":16250,"text":"University of Massechusetts, Lowell","active":true,"usgs":false}],"preferred":false,"id":572238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, Forest","contributorId":147642,"corporation":false,"usgs":false,"family":"Cannon","given":"Forest","email":"","affiliations":[{"id":16874,"text":"UC Santa Barbara, Geography","active":true,"usgs":false}],"preferred":false,"id":572239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelley, Colin","contributorId":147643,"corporation":false,"usgs":false,"family":"Kelley","given":"Colin","email":"","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":572240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funk, Christopher C. 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":721,"corporation":false,"usgs":true,"family":"Funk","given":"Christopher","email":"cfunk@usgs.gov","middleInitial":"C.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":572235,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70159916,"text":"70159916 - 2015 - Characterization of a novel hepadnavirus in the white sucker (<i>Catostomus commersonii</i>) from the Great Lakes Region of the USA","interactions":[],"lastModifiedDate":"2018-08-09T12:42:52","indexId":"70159916","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of a novel hepadnavirus in the white sucker (<i>Catostomus commersonii</i>) from the Great Lakes Region of the USA","docAbstract":"<p>The white sucker Catostomus commersonii is a freshwater teleost often utilized as a resident sentinel. Here, we sequenced the full genome of a hepatitis B-like virus that infects white suckers from the Great Lakes Region of the USA. Dideoxysequencing confirmed the white sucker hepatitis B virus (WSHBV) has a circular genome (3542 bp) with the prototypical codon organization of hepadnaviruses. Electron microscopy demonstrated that complete virions of approximately 40 nm were present in the plasma of infected fish. Compared to avi- and orthohepadnaviruses, sequence conservation of the core, polymerase and surface proteins was low and ranged from 16-27% at the amino acid level. An X protein homologue common to the orthohepadnaviruses was not present. The WSHBV genome included an atypical, presumptively non-coding region absent in previously described hepadnaviruses. Phylogenetic analyses confirmed WSHBV as distinct from previously documented hepadnaviruses. The level of divergence in protein sequences between WSHBV other hepadnaviruses, and the identification of an HBV-like sequence in an African cichlid provide evidence that a novel genus of the family Hepadnaviridae may need to be established that includes these hepatitis B-like viruses in fishes. Viral transcription was observed in 9.5% (16 of 169) of white suckers evaluated. The prevalence of hepatic tumors in these fish was 4.9%, of which only 2.4% were positive for both virus and hepatic tumors. These results are not sufficient to draw inferences regarding the association of WSHBV and carcinogenesis in white sucker.</p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JVI.01278-15","usgsCitation":"Hahn, C.M., Iwanowicz, L., Cornman, R.S., Conway, C.M., Winton, J., and Blazer, V., 2015, Characterization of a novel hepadnavirus in the white sucker (<i>Catostomus commersonii</i>) from the Great Lakes Region of the USA: Journal of Virology, v. 89, no. 23, p. 11801-11811, https://doi.org/10.1128/JVI.01278-15.","productDescription":"11 p.","startPage":"11801","endPage":"11811","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065136","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":471827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.01278-15","text":"Publisher Index Page"},{"id":311872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.55957031249999,\n              41.0130657870063\n            ],\n            [\n              -93.55957031249999,\n              49.1242192485914\n            ],\n            [\n              -75.2783203125,\n              49.1242192485914\n            ],\n            [\n              -75.2783203125,\n              41.0130657870063\n            ],\n            [\n              -93.55957031249999,\n              41.0130657870063\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"23","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566175c5e4b06a3ea36c5684","contributors":{"authors":[{"text":"Hahn, Cassidy M. cmhahn@usgs.gov","contributorId":5321,"corporation":false,"usgs":true,"family":"Hahn","given":"Cassidy","email":"cmhahn@usgs.gov","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":581033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":148350,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":581032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":581035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conway, Carla M. 0000-0002-3851-3616 cmconway@usgs.gov","orcid":"https://orcid.org/0000-0002-3851-3616","contributorId":2946,"corporation":false,"usgs":true,"family":"Conway","given":"Carla","email":"cmconway@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":581036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winton, James R. jwinton@usgs.gov","contributorId":150220,"corporation":false,"usgs":true,"family":"Winton","given":"James R.","email":"jwinton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":581037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":149414,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":581034,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70148613,"text":"70148613 - 2015 - Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","interactions":[],"lastModifiedDate":"2015-09-16T09:49:22","indexId":"70148613","displayToPublicDate":"2015-09-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3895,"text":"Journal of North American Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA","docAbstract":"<p>We estimated wetland occupancy and population trends for three species of pond-breeding anurans in Yosemite National Park from 2007-2011. We used a double survey technique in which two observers independently surveyed each site on the same day. Double surveys allowed us to calculate detectability for the three most common anurans within the park: Rana sierrae, Anaxyrus canorus, and Pseudacris regilla. Annual estimates of detectability were generally high; mean detectability ranged from 73.7% <span>+</span> 0.6 (SE) for any life history stage of A. canorus to 86.7% <span>+</span> 0.7 for sites with P. regilla reproduction (eggs or larvae present). Detectability was most variable for Anaxyrus canorus, which ranged from 45.9% to 99.7%. The probability of occupancy for R. sierrae was highest in larger, low-elevation wetlands that lacked fish. Anaxyrus canorus were more common in shallow high-elevation ponds; their occurrence was minimally impacted by the presence of fish. Finally, occurrence of P. regilla was largely unrelated to wetland size and elevation, but like R. sierrae, they were less likely to occupy sites with fi sh. Occupancy showed no trend over the five years of our study for R. sierrae or A. canorus when considering either sites with any life stage or only sites with reproduction. However, P. regilla showed a modest downward trend for sites with any life stage and sites with reproduction. Our results for R. sierrae run counter to expectations given recent concern about the decline of this species, while our findings for P. regilla raise concerns for this widespread and generally common species.</p>","language":"English","publisher":"The Center for North American Herpetology","usgsCitation":"Fellers, G.M., Kleeman, P.M., and Miller, D., 2015, Wetland occupancy of pond-breeding amphibians in Yosemite National Park, USA: Journal of North American Herpetology, v. 2015, no. 1, p. 22-33.","productDescription":"12 p","startPage":"22","endPage":"33","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-059719","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":308163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":305748,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://jnah.cnah.org/default.aspx","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Yosemite National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.66583251953124,\n              37.41270958119496\n            ],\n            [\n              -119.80590820312499,\n              37.66860332433055\n            ],\n            [\n              -119.89929199218749,\n              37.808698976006795\n            ],\n            [\n              -119.94529724121092,\n              38.129155479572624\n            ],\n            [\n              -119.46258544921874,\n              38.13779704369439\n            ],\n            [\n              -119.25796508789061,\n              37.938782346134396\n            ],\n            [\n              -119.14810180664061,\n              37.74465712069939\n            ],\n            [\n              -119.13162231445311,\n              37.54131068652799\n            ],\n            [\n              -119.26895141601562,\n              37.42361656106772\n            ],\n            [\n              -119.66583251953124,\n              37.41270958119496\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"2015","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55fa92d8e4b05d6c4e501aee","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":548887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David A.W.","contributorId":19423,"corporation":false,"usgs":true,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":548888,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}