{"pageNumber":"1083","pageRowStart":"27050","pageSize":"25","recordCount":184757,"records":[{"id":70187245,"text":"70187245 - 2016 - Proximate influences on female dispersal in white-tailed deer","interactions":[],"lastModifiedDate":"2017-04-28T13:23:19","indexId":"70187245","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Proximate influences on female dispersal in white-tailed deer","docAbstract":"<p><span>Ultimate causes of animal dispersal have been hypothesized to benefit the dispersing individual because dispersal reduces competition for local resources, potential for inbreeding, and competition for breeding partners. However, proximate cues influence important features of dispersal behavior, including when dispersal occurs, how long it lasts, and direction, straightness, and distance of the dispersal path. Therefore, proximate cues that affect dispersal influence ecological processes (e.g., population dynamics, disease transmission, gene flow). We captured and radio-marked 277 juvenile female white-tailed deer (</span><i>Odocoileus virginianus</i><span>), of which 27 dispersed, to evaluate dispersal behavior and to determine proximate cues that may influence dispersal behavior. Female dispersal largely occurred at 1 year of age and coincided with the fawning season. Dispersal paths varied but generally were non-linear and prolonged. Physical landscape features (i.e., roadways, rivers, residential areas) influenced dispersal path direction and where dispersal terminated. Additionally, forays outside of the natal range that did not result in dispersal occurred among 52% of global positioning system (GPS)-collared deer (</span><i>n</i><span> = 25) during the dispersal period. Our results suggest intra-specific social interactions and physical landscape features influence dispersal behavior in female deer. Female dispersal behavior, particularly the lack of directionality, the semi-permeable nature of physical barriers, and the frequency of forays outside of the natal range, should be considered in regard to population management and controlling the spread of disease.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21106","usgsCitation":"Lutz, C.L., Diefenbach, D.R., and Rosenberry, C.S., 2016, Proximate influences on female dispersal in white-tailed deer: Journal of Wildlife Management, v. 80, no. 7, p. 1218-1226, https://doi.org/10.1002/jwmg.21106.","productDescription":"9 p.","startPage":"1218","endPage":"1226","ipdsId":"IP-068542","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"80","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-10","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc232","contributors":{"authors":[{"text":"Lutz, Clayton L.","contributorId":171653,"corporation":false,"usgs":false,"family":"Lutz","given":"Clayton","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":693493,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Christopher S.","contributorId":171633,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":693494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185047,"text":"70185047 - 2016 - Chronic wasting disease drives population decline of white-tailed deer","interactions":[],"lastModifiedDate":"2017-03-13T15:32:06","indexId":"70185047","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease drives population decline of white-tailed deer","docAbstract":"<p><span>Chronic wasting disease (CWD) is an invariably fatal transmissible spongiform encephalopathy of white-tailed deer, mule deer, elk, and moose. Despite a 100% fatality rate, areas of high prevalence, and increasingly expanding geographic endemic areas, little is known about the population-level effects of CWD in deer. To investigate these effects, we tested the null hypothesis that high prevalence CWD did not negatively impact white-tailed deer population sustainability. The specific objectives of the study were to monitor CWD-positive and CWD-negative white-tailed deer in a high-prevalence CWD area longitudinally via radio-telemetry and global positioning system (GPS) collars. For the two populations, we determined the following: a) demographic and disease indices, b) annual survival, and c) finite rate of population growth (</span><i>λ</i><span>). The CWD prevalence was higher in females (42%) than males (28.8%) and hunter harvest and clinical CWD were the most frequent causes of mortality, with CWD-positive deer over-represented in harvest and total mortalities. Survival was significantly lower for CWD-positive deer and separately by sex; CWD-positive deer were 4.5 times more likely to die annually than CWD-negative deer while bucks were 1.7 times more likely to die than does. Population </span><i>λ</i><span> was 0.896 (0.859–0.980), which indicated a 10.4% annual decline. We show that a chronic disease that becomes endemic in wildlife populations has the potential to be population-limiting and the strong population-level effects of CWD suggest affected populations are not sustainable at high disease prevalence under current harvest levels.</span></p>","language":"English","publisher":"PLOS One","doi":"10.1371/journal.pone.0161127","usgsCitation":"Edmunds, D.R., Kauffman, M., Schumaker, B., Lindzey, F.G., Cook, W., Kreeger, T.J., Grogan, R., and Cornish, T., 2016, Chronic wasting disease drives population decline of white-tailed deer: PLoS ONE, v. 11, no. 8, p. 1-19, https://doi.org/10.1371/journal.pone.0161127.","productDescription":"e0161127; 19 p.","startPage":"1","endPage":"19","ipdsId":"IP-075014","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0161127","text":"Publisher Index Page"},{"id":337463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"58c7afa0e4b0849ce9795ea0","contributors":{"authors":[{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":684066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew mkauffman@usgs.gov","contributorId":171443,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","email":"mkauffman@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":684065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schumaker, Brant","contributorId":189181,"corporation":false,"usgs":false,"family":"Schumaker","given":"Brant","affiliations":[],"preferred":false,"id":684067,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lindzey, Frederick G.","contributorId":189182,"corporation":false,"usgs":false,"family":"Lindzey","given":"Frederick","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":684068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Walter","contributorId":189183,"corporation":false,"usgs":false,"family":"Cook","given":"Walter","email":"","affiliations":[],"preferred":false,"id":684069,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreeger, Terry J.","contributorId":189227,"corporation":false,"usgs":false,"family":"Kreeger","given":"Terry","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":684070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grogan, Ronald","contributorId":189185,"corporation":false,"usgs":false,"family":"Grogan","given":"Ronald","email":"","affiliations":[],"preferred":false,"id":684071,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cornish, Todd","contributorId":189186,"corporation":false,"usgs":false,"family":"Cornish","given":"Todd","email":"","affiliations":[],"preferred":false,"id":684072,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70185041,"text":"70185041 - 2016 - Invariant polar bear habitat selection during a period of sea ice loss","interactions":[],"lastModifiedDate":"2017-03-15T13:52:56","indexId":"70185041","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Invariant polar bear habitat selection during a period of sea ice loss","docAbstract":"<p><span>Climate change is expected to alter many species' habitat. A species' ability to adjust to these changes is partially determined by their ability to adjust habitat selection preferences to new environmental conditions. Sea ice loss has forced polar bears (</span><i>Ursus maritimus</i><span>) to spend longer periods annually over less productive waters, which may be a primary driver of population declines. A negative population response to greater time spent over less productive water implies, however, that prey are not also shifting their space use in response to sea ice loss. We show that polar bear habitat selection in the Chukchi Sea has not changed between periods before and after significant sea ice loss, leading to a 75% reduction of highly selected habitat in summer. Summer was the only period with loss of highly selected habitat, supporting the contention that summer will be a critical period for polar bears as sea ice loss continues. Our results indicate that bears are either unable to shift selection patterns to reflect new prey use patterns or that there has not been a shift towards polar basin waters becoming more productive for prey. Continued sea ice loss is likely to further reduce habitat with population-level consequences for polar bears.</span></p>","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rspb.2016.0380","usgsCitation":"Wilson, R.H., Regehr, E.V., Rode, K.D., and St. Martin, M., 2016, Invariant polar bear habitat selection during a period of sea ice loss: Proceedings of the Royal Society B: Biological Sciences, v. 283, no. 1836, Article 20160380, https://doi.org/10.1098/rspb.2016.0380.","productDescription":"Article 20160380","ipdsId":"IP-073051","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":470605,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2016.0380","text":"Publisher Index Page"},{"id":337645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","issue":"1836","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-17","publicationStatus":"PW","scienceBaseUri":"58ca52cee4b0849ce97c86b0","chorus":{"doi":"10.1098/rspb.2016.0380","url":"http://dx.doi.org/10.1098/rspb.2016.0380","publisher":"The Royal Society","authors":"Wilson Ryan R., Regehr Eric V., Rode Karyn D., St Martin Michelle","journalName":"Proceedings of the Royal Society B: Biological Sciences","publicationDate":"8/17/2016","auditedOn":"9/12/2016","publiclyAccessibleDate":"8/17/2016"},"contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":684038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regehr, Eric V. 0000-0003-4487-3105","orcid":"https://orcid.org/0000-0003-4487-3105","contributorId":66364,"corporation":false,"usgs":false,"family":"Regehr","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":684039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":684037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"St. Martin, Michelle","contributorId":189169,"corporation":false,"usgs":false,"family":"St. Martin","given":"Michelle","affiliations":[],"preferred":false,"id":684040,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184977,"text":"70184977 - 2016 - Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study","interactions":[],"lastModifiedDate":"2018-02-01T12:31:01","indexId":"70184977","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study","docAbstract":"<p id=\"sp0075\">The concentration of carbon dioxide (CO<sub>2</sub>) in the atmosphere has dramatically increased from the start of the industrial revolution in the mid-1700s to present levels exceeding 400&nbsp;ppm. Carbon dioxide derived from fossil fuel combustion is a greenhouse gas and a major contributor to on-going climate change. Carbon and oxygen stable isotope geochemistry is a useful tool to help model and predict the contributions of anthropogenic sources of CO<sub>2</sub> in the global carbon cycle. Surprisingly few studies have addressed the carbon and oxygen isotopic composition of CO<sub>2</sub> derived from coal combustion. The goal of this study is to document the relationships between the carbon and oxygen isotope signatures of coal and signatures of the CO<sub>2</sub> produced from laboratory coal combustion in atmospheric conditions.</p><p id=\"sp0080\">Six coal samples were selected that represent various geologic ages (Carboniferous to Tertiary) and coal ranks (lignite to bituminous). Duplicate splits of the six coal samples were ignited and partially combusted in the laboratory at atmospheric conditions. The resulting coal-combustion gases were collected and the molecular composition of the collected gases and isotopic analyses of <i>δ</i><sup>13</sup>C of CO<sub>2</sub>, <i>δ</i><sup>13</sup>C of CH<sub>4</sub>, and <i>δ</i><sup>18</sup>O of CO<sub>2</sub> were analysed by a commercial laboratory. Splits (~&nbsp;1&nbsp;g) of the un-combusted dried ground coal samples were analyzed for <i>δ</i><sup>13</sup>C and <i>δ</i><sup>18</sup>O by the U.S. Geological Survey Reston Stable Isotope Laboratory.</p><p id=\"sp0085\">The major findings of this preliminary work indicate that the isotopic signatures of <i>δ</i><sup>13</sup>C (relative to the Vienna Pee Dee Belemnite scale, VPDB) of CO<sub>2</sub> resulting from coal combustion are similar to the <i>δ</i><sup>13</sup>C<sub>VPDB</sub> signature of the bulk coal (−&nbsp;28.46 to −&nbsp;23.86&nbsp;‰) and are not similar to atmospheric <i>δ</i><sup>13</sup>C<sub>VPDB</sub> of CO<sub>2</sub> (~&nbsp;−&nbsp;8&nbsp;‰, see <span id=\"ir1000\" class=\"interref\" data-locatortype=\"url\" data-locatorkey=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\"><a class=\"cExLink\" onclick=\"var newWidth=((window.screen.availWidth*90)/100);var newHeight=((window.screen.availHeight*90)/100);var parms = 'status=yes,location=yes,' + 'scrollbars=yes,resizable=yes,directories=yes,' + 'toolbar=yes,menubar=yes,' + 'width=' + newWidth + ',height=' + newHeight + ',screenX=10,screenY=10';var externalWin; externalWin=window.open('','externObjLink',parms); externalWin.focus()\" href=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\" target=\"externObjLink\" data-url=\"/science/RedirectURL?_method=externObjLink&amp;_locator=url&amp;_cdi=271854&amp;_issn=01665162&amp;_origin=article&amp;_zone=art_page&amp;_targetURL=http%253A%252F%252Fwww.esrl.noaa.gov%252Fgmd%252Foutreach%252Fisotopes%252Fc13tellsus.html\" data-itrprs=\"Y\" data-mce-href=\"http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html\">http://www.esrl.noaa.gov/gmd/outreach/isotopes/c13tellsus.html</a></span>). The <i>δ</i><sup>18</sup>O values of bulk coal are strongly correlated to the coal dry ash yields and appear to have little or no influence on the <i>δ</i><sup>18</sup>O values of CO<sub>2</sub> resulting from coal combustion in open atmospheric conditions. There is a wide range of <i>δ</i><sup>13</sup>C values of coal reported in the literature and the <i>δ</i><sup>13</sup>C values from this study generally follow reported ranges for higher plants over geologic time. The values of <i>δ</i><sup>18</sup>O (relative to Vienna Standard Mean Ocean Water) of CO<sub>2</sub> derived from atmospheric combustion of coal and other high-carbon fuels (peat and coal) range from +&nbsp;19.03 to +&nbsp;27.03‰ and are similar to atmospheric oxygen <i>δ</i><sup>18</sup>O<sub>VSMOW</sub> values which average +&nbsp;23.8‰. Further work is needed on a broader set of samples to better define the relationships between coal composition and combustion-derived gases.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.009","usgsCitation":"Warwick, P.D., and Ruppert, L.F., 2016, Carbon and oxygen isotopic composition of coal and carbon dioxide derived from laboratory coal combustion: A preliminary study: International Journal of Coal Geology, v. 166, p. 128-135, https://doi.org/10.1016/j.coal.2016.06.009.","productDescription":"8 p.","startPage":"128","endPage":"135","ipdsId":"IP-072825","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":470627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2016.06.009","text":"Publisher Index Page"},{"id":337547,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"166","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58c90126e4b0849ce97abcdf","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783 pwarwick@usgs.gov","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":762,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter","email":"pwarwick@usgs.gov","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":683798,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":683799,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176347,"text":"70176347 - 2016 - Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","interactions":[],"lastModifiedDate":"2016-09-09T16:05:13","indexId":"70176347","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NRSS/NRR—2016/1289","title":"Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD","docAbstract":"<p>The Scaling Climate Change Adaptation in the Northern Great Plains through Regional Climate Summaries and Local Qualitative-Quantitative Scenario Planning Workshops project synthesizes climate data into 3-5 distinct but plausible climate summaries for the northern Great Plains region; crafts quantitative summaries of these climate futures for two focal areas; and applies these local summaries by developing climate-resource-management scenarios through participatory workshops and, where possible, simulation models. The two focal areas are central North Dakota and southwest South Dakota (Figure 1). The primary objective of this project is to help resource managers and scientists in a focal area use scenario planning to make management and planning decisions based on assessments of critical future uncertainties.</p><p>This report summarizes project work for public and tribal lands in the southwest South Dakota grasslands focal area, with an emphasis on Badlands National Park and Buffalo Gap National Grassland. The report explains scenario planning as an adaptation tool in general, then describes how it was applied to the focal area in three phases. Priority resource management and climate uncertainties were identified in the orientation phase. Local climate summaries for relevant, divergent, and challenging climate scenarios were developed in the second phase. In the final phase, a two-day scenario planning workshop held January 20-21, 2016 in Rapid City, South Dakota, featured scenario development and implications, testing management decisions, and methods for operationalizing scenario planning outcomes.</p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, Colorado","usgsCitation":"Fisichelli, N.A., Schuurman, G.W., Symstad, A.J., Ray, A., Miller, B., Cross, M., and Rowland, E., 2016, Resource management and operations in southwest South Dakota: Climate change scenario planning workshop summary January 20-21, 2016, Rapid City, SD: Natural Resource Report NPS/NRSS/NRR—2016/1289, ix, 61 p.","productDescription":"ix, 61 p.","numberOfPages":"76","ipdsId":"IP-075140","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":328423,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2233058"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d3dd3ce4b0571647d19ac3","contributors":{"authors":[{"text":"Fisichelli, Nicholas A.","contributorId":174508,"corporation":false,"usgs":false,"family":"Fisichelli","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":27461,"text":"NPS, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":648451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W. 0000-0002-9304-7742","orcid":"https://orcid.org/0000-0002-9304-7742","contributorId":147698,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","email":"","middleInitial":"W.","affiliations":[{"id":16909,"text":"U.S. National Park Service, Natural Resource Stewardship and Science, Fort Collins, CO, 80525, USA","active":true,"usgs":false}],"preferred":false,"id":648452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":147543,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy","email":"asymstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ray, Andrea","contributorId":71869,"corporation":false,"usgs":true,"family":"Ray","given":"Andrea","affiliations":[],"preferred":false,"id":648453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Brian","contributorId":100753,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","affiliations":[],"preferred":false,"id":648454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cross, Molly","contributorId":73455,"corporation":false,"usgs":true,"family":"Cross","given":"Molly","affiliations":[],"preferred":false,"id":648455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowland, Erika","contributorId":146177,"corporation":false,"usgs":false,"family":"Rowland","given":"Erika","email":"","affiliations":[{"id":6624,"text":"University of Arizona, Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":648456,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70192660,"text":"70192660 - 2016 - A global review of freshwater crayfish temperature tolerance, preference, and optimal growth","interactions":[],"lastModifiedDate":"2017-11-27T11:38:49","indexId":"70192660","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3278,"text":"Reviews in Fish Biology and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"A global review of freshwater crayfish temperature tolerance, preference, and optimal growth","docAbstract":"<p><span>Conservation efforts, environmental planning, and management must account for ongoing ecosystem alteration due to a changing climate, introduced species, and shifting land use. This type of management can be facilitated by an understanding of the thermal ecology of aquatic organisms. However, information on thermal ecology for entire taxonomic groups is rarely compiled or summarized, and reviews of the science can facilitate its advancement. Crayfish are one of the most globally threatened taxa, and ongoing declines and extirpation could have serious consequences on aquatic ecosystem function due to their significant biomass and ecosystem roles. Our goal was to review the literature on thermal ecology for freshwater crayfish worldwide, with emphasis on studies that estimated temperature tolerance, temperature preference, or optimal growth. We also explored relationships between temperature metrics and species distributions. We located 56 studies containing information for at least one of those three metrics, which covered approximately 6&nbsp;% of extant crayfish species worldwide. Information on one or more metrics existed for all 3 genera of Astacidae, 4 of the 12 genera of Cambaridae, and 3 of the 15 genera of Parastacidae. Investigations employed numerous methodological approaches for estimating these parameters, which restricts comparisons among and within species. The only statistically significant relationship we observed between a temperature metric and species range was a negative linear relationship between absolute latitude and optimal growth temperature. We recommend expansion of studies examining the thermal ecology of freshwater crayfish and identify and discuss methodological approaches that can improve standardization and comparability among studies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11160-016-9430-5","usgsCitation":"Westhoff, J.T., and Rosenberger, A.E., 2016, A global review of freshwater crayfish temperature tolerance, preference, and optimal growth: Reviews in Fish Biology and Fisheries, v. 26, no. 3, p. 329-349, https://doi.org/10.1007/s11160-016-9430-5.","productDescription":"21 p.","startPage":"329","endPage":"349","ipdsId":"IP-069980","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-14","publicationStatus":"PW","scienceBaseUri":"5a60fcd5e4b06e28e9c24396","contributors":{"authors":[{"text":"Westhoff, Jacob T.","contributorId":58106,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":723539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716669,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184317,"text":"70184317 - 2016 - Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","interactions":[],"lastModifiedDate":"2017-03-07T16:15:12","indexId":"70184317","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy","docAbstract":"<p id=\"sp0080\">The April 2010 Deepwater Horizon (DWH) oil spill was the largest coastal spill in U.S. history. Monitoring subsequent change in marsh plant community distributions is critical to assess ecosystem impacts and to establish future coastal management priorities. Strategically deployed airborne imaging spectrometers, like the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS), offer the spectral and spatial resolution needed to differentiate plant species. However, obtaining satisfactory and consistent classification accuracies over time is a major challenge, particularly in dynamic intertidal landscapes.</p><p id=\"sp0085\">Here, we develop and evaluate an image classification system for a time series of AVIRIS data for mapping dominant species in a heavily oiled salt marsh ecosystem. Using field-referenced image endmembers and canonical discriminant analysis (CDA), we classified 21 AVIRIS images acquired during the fall of 2010, 2011 and 2012. Classification results were evaluated using ground surveys that were conducted contemporaneously to AVIRIS collection dates. We analyzed changes in dominant species cover from 2010 to 2012 for oiled and non-oiled shorelines.</p><p id=\"sp0090\">CDA discriminated dominant species with a high level of accuracy (overall accuracy&nbsp;=&nbsp;82%, kappa&nbsp;=&nbsp;0.78) and consistency over three imaging dates (overall<sub>2010</sub>&nbsp;=&nbsp;82%, overall<sub>2011</sub>&nbsp;=&nbsp;82%, overall<sub>2012</sub>&nbsp;=&nbsp;88%). Marshes dominated by <i>Spartina alterniflora</i> were the most spatially abundant in shoreline zones (≤&nbsp;28&nbsp;m from shore) for all three dates (2010&nbsp;=&nbsp;79%, 2011&nbsp;=&nbsp;61%, 2012&nbsp;=&nbsp;63%), followed by <i>Juncus roemerianus</i> (2010&nbsp;=&nbsp;11%, 2011&nbsp;=&nbsp;19%, 2012&nbsp;=&nbsp;17%) and <i>Distichlis spicata</i> (2010&nbsp;=&nbsp;4%, 2011&nbsp;=&nbsp;10%, 2012&nbsp;=&nbsp;7%).</p><p id=\"sp0095\">Marshes that were heavily contaminated with oil exhibited variable responses from 2010 to 2012. Marsh vegetation classes converted to a subtidal, open water class along oiled and non-oiled shorelines that were similarly situated in the landscape. However, marsh loss along oil-contaminated shorelines doubled that of non-oiled shorelines. Only <i>S. alterniflora</i> dominated marshes were extensively degraded, losing 15% (354,604&nbsp;m<sup>2</sup>) cover in oiled shoreline zones, suggesting that <i>S. alterniflora</i> marshes may be more vulnerable to shoreline erosion following hydrocarbon stress, due to their landscape position.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.04.024","usgsCitation":"Beland, M., Roberts, D.A., Peterson, S.H., Biggs, T.W., Kokaly, R., Piazza, S., Roth, K.L., Khanna, S., and Ustin, S.L., 2016, Mapping changing distributions of dominant species in oil-contaminated salt marshes of Louisiana using imaging spectroscopy: Remote Sensing of Environment, v. 182, p. 192-207, https://doi.org/10.1016/j.rse.2016.04.024.","productDescription":"16 p.","startPage":"192","endPage":"207","ipdsId":"IP-069176","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/81m5219m","text":"Publisher Index Page"},{"id":336983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","volume":"182","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a1","contributors":{"authors":[{"text":"Beland, Michael","contributorId":139569,"corporation":false,"usgs":false,"family":"Beland","given":"Michael","email":"","affiliations":[{"id":12805,"text":"Univ. of California at San Diego","active":true,"usgs":false}],"preferred":false,"id":680982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Seth H.","contributorId":139568,"corporation":false,"usgs":false,"family":"Peterson","given":"Seth","email":"","middleInitial":"H.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":680984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biggs, Trent W.","contributorId":187592,"corporation":false,"usgs":false,"family":"Biggs","given":"Trent","email":"","middleInitial":"W.","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":680985,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101 raymond@usgs.gov","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":1785,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","email":"raymond@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":680981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piazza, Sarai 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":169024,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":680986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roth, Keely L.","contributorId":187593,"corporation":false,"usgs":false,"family":"Roth","given":"Keely","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":680987,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":680988,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":680989,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70184318,"text":"70184318 - 2016 - Shale gas development effects on the songbird community in a central Appalachian forest","interactions":[],"lastModifiedDate":"2017-03-07T16:10:38","indexId":"70184318","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Shale gas development effects on the songbird community in a central Appalachian forest","docAbstract":"<p><span>In the last decade, unconventional drilling for natural gas from the Marcellus-Utica shale has increased exponentially in the central Appalachians. This heavily forested region contains important breeding habitat for many neotropical migratory songbirds, including several species of conservation concern. Our goal was to examine effects of unconventional gas development on forest habitat and breeding songbirds at a predominantly forested site from 2008 to 2015. Construction of gas well pads and infrastructure (e.g., roads, pipelines) contributed to an overall 4.5% loss in forest cover at the site, a 12.4% loss in core forest, and a 51.7% increase in forest edge density. We evaluated the relationship between land-cover metrics and species richness within three avian guilds: forest-interior, early-successional, and synanthropic, in addition to abundances of 21 focal species. Land-cover impacts were evaluated at two spatial extents: a point-level within 100-m and 500-m buffers of each avian survey station, and a landscape-level across the study area (4326&nbsp;ha). Although we observed variability in species-specific responses, we found distinct trends in long-term response among the three avian guilds. Forest-interior guild richness declined at all points across the site and at points impacted within 100&nbsp;m by shale gas but did not change at unimpacted points. Early-successional and synanthropic guild richness increased at all points and at impacted points. Our results suggest that shale gas development has the potential to fragment regional forests and alter avian communities, and that efforts to minimize new development in core forests will reduce negative impacts to forest dependent species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.06.019","usgsCitation":"Farwell, L.S., Wood, P., Sheehan, J., and George, G.A., 2016, Shale gas development effects on the songbird community in a central Appalachian forest: Biological Conservation, v. 201, p. 78-91, https://doi.org/10.1016/j.biocon.2016.06.019.","productDescription":"14 p.","startPage":"78","endPage":"91","ipdsId":"IP-074118","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2016.06.019","text":"Publisher Index Page"},{"id":336981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"201","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f2e4b014cc3a3ba499","contributors":{"authors":[{"text":"Farwell, Laura S.","contributorId":187625,"corporation":false,"usgs":false,"family":"Farwell","given":"Laura","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":681092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Petra pbwood@usgs.gov","contributorId":169812,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":680990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, James","contributorId":169745,"corporation":false,"usgs":false,"family":"Sheehan","given":"James","email":"","affiliations":[],"preferred":false,"id":681093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Gregory A.","contributorId":169751,"corporation":false,"usgs":false,"family":"George","given":"Gregory","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":681094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70184319,"text":"70184319 - 2016 - Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","interactions":[],"lastModifiedDate":"2017-03-07T16:08:31","indexId":"70184319","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA","docAbstract":"<p><span>The Columbia River Littoral Cell (CRLC), a high-wave-energy littoral system, extends 160&nbsp;km alongshore, generally north of the large Columbia River, and 10–15&nbsp;km in across-shelf distance from paleo-beach backshores to about 50&nbsp;m present water depths. Onshore drill holes (19 in number and 5–35&nbsp;m in subsurface depth) and offshore vibracores (33 in number and 1–5&nbsp;m in subsurface depth) constrain inner-shelf sand grain sizes (sample means 0.13–0.25&nbsp;mm) and heavy mineral source indicators (&gt;&nbsp;90% Holocene Columbia River sand) of the inner-shelf facies (≥&nbsp;90% fine sand). Stratigraphic correlation of the transgressive ravinement surface in onshore drill holes and in offshore seismic reflection profiles provide age constraints (0–12&nbsp;ka) on post-ravinement inner-shelf deposits, using paleo-sea level curves and radiocarbon dates. Post-ravinement deposit thickness (1–50&nbsp;m) and long-term sedimentation rates (0.4–4.4&nbsp;m&nbsp;ka</span><sup>−&nbsp;1</sup><span>) are positively correlated to the cross-shelf gradients (0.36–0.63%) of the transgressive ravinement surface. The total post-ravinement fill volume of fine littoral sand (2.48&nbsp;×&nbsp;10</span><sup>10</sup><span>&nbsp;m</span><sup>3</sup><span>) in the inner-shelf represents about 2.07&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;year</span><sup>−&nbsp;1</sup><span> fine sand accumulation rate during the last 12&nbsp;ka, or about one third of the estimated middle- to late-Holocene Columbia River bedload or sand discharge (5–6&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;year</span><sup>−&nbsp;1</sup><span>) to the littoral zone. The fine sand accumulation in the inner-shelf represents post-ravinement accommodation space resulting from 1) geometry and depth of the transgressive ravinement surface, 2) post-ravinement sea-level rise, and 3) fine sand dispersal in the inner-shelf by combined high-wave-energy and geostrophic flow/down-welling drift currents during major winter storms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2016.05.007","usgsCitation":"Peterson, C.D., Twichell, D.C., Roberts, M.C., Vanderburgh, S., and Hostetler, S.W., 2016, Accommodation space in a high-wave-energy inner-shelf during the Holocene marine transgression: Correlation of onshore and offshore inner-shelf deposits (0–12 ka) in the Columbia River littoral cell system, Washington and Oregon, USA: Marine Geology, v. 379, p. 140-156, https://doi.org/10.1016/j.margeo.2016.05.007.","productDescription":"17 p.","startPage":"140","endPage":"156","ipdsId":"IP-075517","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":488567,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/96","text":"External Repository"},{"id":336980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","volume":"379","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f1e4b014cc3a3ba495","contributors":{"authors":[{"text":"Peterson, C. D.","contributorId":187596,"corporation":false,"usgs":false,"family":"Peterson","given":"C.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":680992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twichell, D. C.","contributorId":187597,"corporation":false,"usgs":false,"family":"Twichell","given":"D.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, M. C.","contributorId":187598,"corporation":false,"usgs":false,"family":"Roberts","given":"M.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":680994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vanderburgh, S.","contributorId":187599,"corporation":false,"usgs":false,"family":"Vanderburgh","given":"S.","email":"","affiliations":[],"preferred":false,"id":680995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":680991,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70184316,"text":"70184316 - 2016 - A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","interactions":[],"lastModifiedDate":"2017-03-07T16:18:28","indexId":"70184316","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1686,"text":"Forensic Science International","active":true,"publicationSubtype":{"id":10}},"title":"A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science","docAbstract":"<p>The hydrogen isotopic composition (<i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub>) of USGS42 and USGS43 human hair stable isotopic reference materials, normalized to the VSMOW (Vienna-Standard Mean Ocean Water)–SLAP (Standard Light Antarctic Precipitation) scale, was originally determined with a high temperature conversion technique using an elemental analyzer (TC/EA) with a glassy carbon tube and glassy carbon filling and analysis by isotope-ratio mass spectrometer (IRMS). However, the TC/EA IRMS method can produce inaccurate <i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub>results when analyzing nitrogen-bearing organic substances owing to the formation of hydrogen cyanide (HCN), leading to non-quantitative conversion of a sample into molecular hydrogen (H<sub>2</sub>) for IRMS analysis. A single-oven, chromium-filled, elemental analyzer (Cr-EA) coupled to an IRMS substantially improves the measurement quality and reliability of hydrogen isotopic analysis of hydrogen- and nitrogen-bearing organic material because hot chromium scavenges all reactive elements except hydrogen. USGS42 and USGS43 human hair isotopic reference materials have been analyzed with the Cr-EA IRMS method, and the <i>δ</i><sup>2</sup>H<sub>VSMOW-SLAP</sub> values of their non-exchangeable hydrogen fractions have been revised:</p><div class=\"formula\"><img src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866098/si1.gif\" alt=\"Math Eq\" data-mce-src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866098/si1.gif\"></div><div class=\"formula\"><img src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\" alt=\"Math Eq\" data-mce-src=\"http://www.fsijournal.org/cms/attachment/2085453690/2073866099/si2.gif\"></div><p><span>where mUr = 0.001 = ‰. On average, these revised </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW-SLAP</sub><span> values are 5.7 mUr more positive than those previously measured. It is critical that readers pay attention to the </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW-SLAP</sub><span> of isotopic reference materials in publications as they may need to adjust the </span><i>δ</i><sup>2</sup><span>H</span><sub>VSMOW–SLAP</sub><span> measurement results of human hair in previous publications to ensure all results are on the same isotope-delta scale.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.forsciint.2016.05.029","usgsCitation":"Coplen, T.B., and Qi, H., 2016, A revision in hydrogen isotopic composition of USGS42 and USGS43 human-hair stable isotopic reference materials for forensic science: Forensic Science International, v. 266, p. 222-225, https://doi.org/10.1016/j.forsciint.2016.05.029.","productDescription":"4 p.","startPage":"222","endPage":"225","ipdsId":"IP-075581","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forsciint.2016.05.029","text":"Publisher Index Page"},{"id":336985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"266","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4a5","contributors":{"authors":[{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":680980,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70184311,"text":"70184311 - 2016 - Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>)","interactions":[],"lastModifiedDate":"2017-03-07T13:20:04","indexId":"70184311","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>)","docAbstract":"<p><span>Factors affecting feeding and growth of early life stages of the federally endangered pallid sturgeon (</span><i>Scaphirhynchus albus</i><span>) are not fully understood, owing to their scarcity in the wild. In this study was we evaluated the performance of a combined foraging-bioenergetics model as a tool for assessing growth of age-0 pallid sturgeon in the Missouri River. In the laboratory, three size classes of sturgeon larvae (18–44&nbsp;mm; 0.027–0.329&nbsp;g) were grown for 7 to 14&nbsp;days under differing temperature (14–24&nbsp;°C) and prey density (0–9 Chironomidae larvae/d) regimes. After accounting for effects of water temperature and prey density on fish activity, we compared observed final weight, final length, and number of prey consumed to values generated from the foraging-bioenergetics model. When confronted with an independent dataset, the combined model provided reliable estimates (within 13% of observations) of fish growth and prey consumption, underscoring the usefulness of the modeling approach for evaluating growth dynamics of larval fish when empirical data are lacking.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2016.05.017","usgsCitation":"Deslauriers, D., Heironimus, L.B., and Chipps, S.R., 2016, Test of a foraging-bioenergetics model to evaluate growth dynamics of endangered pallid sturgeon (<i>Scaphirhynchus albus</i>): Ecological Modelling, v. 336, p. 1-12, https://doi.org/10.1016/j.ecolmodel.2016.05.017.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-077141","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":336944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"336","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58bfd4f3e4b014cc3a3ba4aa","contributors":{"authors":[{"text":"Deslauriers, David","contributorId":187586,"corporation":false,"usgs":false,"family":"Deslauriers","given":"David","email":"","affiliations":[],"preferred":false,"id":680969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heironimus, Laura B.","contributorId":187587,"corporation":false,"usgs":false,"family":"Heironimus","given":"Laura","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":680970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":680946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182821,"text":"70182821 - 2016 - Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range","interactions":[],"lastModifiedDate":"2017-03-01T10:59:41","indexId":"70182821","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range","docAbstract":"<p><span>More than 1100 debris flows were mobilized from shallow landslides during a rainstorm from 9 to 13 September 2013 in the Colorado Front Range, with the vast majority initiating on sparsely vegetated, south facing terrain. To investigate the physical processes responsible for the observed aspect control, we made measurements of soil properties on a densely forested north facing hillslope and a grassland-dominated south facing hillslope in the Colorado Front Range and performed numerical modeling of transient changes in soil pore water pressure throughout the rainstorm. Using the numerical model, we quantitatively assessed interactions among vegetation, rainfall interception, subsurface hydrology, and slope stability. Results suggest that apparent cohesion supplied by roots was responsible for the observed connection between debris flow initiation and slope aspect. Results suggest that future climate-driven modifications to forest structure could substantially influence landslide hazards throughout the Front Range and similar water-limited environments where vegetation communities may be more susceptible to small variations in climate.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/2016GL070741","usgsCitation":"McGuire, L., Rengers, F.K., Kean, J.W., Coe, J.A., Mirus, B.B., Baum, R.L., and Godt, J.W., 2016, Elucidating the role of vegetation in the initiation of rainfall-induced shallow landslides: Insights from an extreme rainfall event in the Colorado Front Range: Geophysical Research Letters, v. 43, no. 17, p. 9084-9092, https://doi.org/10.1002/2016GL070741.","productDescription":"9 p. ","startPage":"9084","endPage":"9092","ipdsId":"IP-078401","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470600,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2016gl070741","text":"External Repository"},{"id":336728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"17","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-14","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb09","contributors":{"authors":[{"text":"McGuire, Luke lmcguire@usgs.gov","contributorId":167018,"corporation":false,"usgs":true,"family":"McGuire","given":"Luke","email":"lmcguire@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":false,"id":673890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true},{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":673895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Godt, Jonathan W. 0000-0002-8737-2493 jgodt@usgs.gov","orcid":"https://orcid.org/0000-0002-8737-2493","contributorId":1166,"corporation":false,"usgs":true,"family":"Godt","given":"Jonathan","email":"jgodt@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":673896,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178854,"text":"70178854 - 2016 - Use of free water by nesting lesser prairie-chickens","interactions":[],"lastModifiedDate":"2016-12-09T14:08:07","indexId":"70178854","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3451,"text":"Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Use of free water by nesting lesser prairie-chickens","docAbstract":"<p><span>The lesser prairie-chicken (</span><i><i>Tympanuchus pallidicinctus</i></i><span>) is a grassland grouse of semiarid regions. Use of free water has been hypothesized as necessary for egg formation during drought. We assessed the use of hydrogen isotopes (deuterium, δ</span><sup>2</sup><span>H) to determine if female lesser prairie-chickens use and incorporate free water during egg formation by testing the relationship between isotope ratios in available free water and eggshells. We collected eggshells from 124 nests and 282 free water samples from three sites in Kansas in 2013 and 2014. Eggshells had δ</span><sup>2</sup><span>H values similar to free water in the year of severe drought but were dissimilar the year with lessened drought severity. With an established link between lesser prairie-chicken eggshells and free water during severe drought, we have identified a mechanism behind observations of lesser prairie-chicken water use. We have demonstrated that hydrogen isotopes can be used to test research questions related to use of free water.</span></p>","language":"English","publisher":"Southwestern Association of Naturalists","doi":"10.1894/0038-4909-61.3.187","usgsCitation":"Robinson, S.G., Haukos, D.A., Sullins, D.S., and Plumb, R.T., 2016, Use of free water by nesting lesser prairie-chickens: Southwestern Naturalist, v. 61, no. 3, p. 187-193, https://doi.org/10.1894/0038-4909-61.3.187.","productDescription":"7 p.","startPage":"187","endPage":"193","ipdsId":"IP-071375","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e0c","contributors":{"authors":[{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":655319,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":655367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":655368,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70175342,"text":"sir20165104 - 2016 - Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota","interactions":[],"lastModifiedDate":"2022-03-09T20:41:51.530149","indexId":"sir20165104","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5104","title":"Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota","docAbstract":"<p>In 2013, the U.S. Geological Survey, in cooperation with the Minnesota Pollution Control Agency, completed a geomorphic assessment of 51 Duluth-area stream sites in 20 basins to describe and document the stream geomorphic changes associated with the June 2012 flood. Heavy rainfall caused flood peaks with annual exceedance probabilities of less than 0.002 (flood recurrence interval of greater than 500 years) on large and small streams in and surrounding the Duluth area. A geomorphic segment-scale classification previously developed in 2003–4 by the U.S. Geological Survey for Duluth-area streams was used as a framework to characterize the observed flood-related responses along a longitudinal continuum from headwaters to rivermouths at Lake Superior related to drainage network position, slope, geologic setting, and valley type. Field assessments in 2013 followed and expanded on techniques used in 2003–4 at intensive and rapid sites. A third level of assessment was added in 2013 to increase the amount of quantitative data at a subset of 2003–4 rapid sites. Characteristics of channel morphology, channel bed substrate, exposed bars and soft sediment deposition, large wood, pools, and bank erosion were measured; and repeat photographs were taken. Additional measurements in 2013 included identification of Rosgen Level II stream types. The comparative analyses of field data collected in 2003–4 and again in 2013 indicated notable geomorphic changes, some of them expected and others not. As expected, in headwaters with gently sloping wetland segments, geomorphic changes were negligible (little measured or observed change). Downstream, middle main stems generally had bank and bluff erosion and bar formation as expected. Steep bedrock sites along middle and lower main stems had localized bank and bluff erosion in short sections with intermittent bedrock. Lower main stem and alluvial sites had bank erosion, widening, gravel bar deposition, and aggradation. Bar formation and accumulation of gravel was more widespread than expected among all main stems, especially for sites upstream and downstream from channel constrictions from road crossings, or even steep sites with localized, more gently sloping sections. Decreases in large wood and pools also were observed throughout the longitudinal continuum of main-stem sites, with immediate implications for fish and benthic invertebrate aquatic habitat. Whether or not the geomorphic conditions will return to their preflood condition depends on the location along the longitudinal continuum. The amount of large wood and pools may return after more moderate floods, whereas bars with coarse material may remain in place, locally altering flow direction and causing continued bank erosion. Results from this study can be used by local managers in postflood reconstruction efforts and provide baseline information for continued monitoring of geomorphic responses to the June 2012 flood. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165104","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Fitzpatrick, F.A., Ellison, C.A., Czuba, C.R., Young, B.M., McCool, M.M., and Groten, J.T., 2016, Geomorphic responses of Duluth-area streams to the June 2012 flood, Minnesota: U.S. Geological Survey Scientific Investigations Report 2016–5104, 53 p. with appendixes, https://dx.doi.org/10.3133/sir20165104.","productDescription":"Report: vi, 53 p.; Appendixes: 1–4","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065922","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":328169,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix4.xlsx","text":"Appendix 4","size":"990 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5104 Appendix 4"},{"id":328168,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix3.zip","text":"Appendix 3","size":"2.36 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016–5104 Appendix 3"},{"id":328167,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix2.pdf","text":"Appendix 2","size":"83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5104 Appendix 2"},{"id":328166,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104_appendix1.xlsx","text":"Appendix 1","size":"30.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5104 Appendix 1"},{"id":328164,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5104/coverthb.jpg"},{"id":328165,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5104/sir20165104.pdf","text":"Report","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5104"}],"country":"United States","state":"Minnesota","city":"Duluth","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.92741394042969,\n              46.87849898215226\n            ],\n            [\n              -92.01805114746094,\n              46.924007100770275\n            ],\n            [\n              -92.0328140258789,\n              46.981891954654735\n            ],\n            [\n              -92.07744598388672,\n    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Rehabilitation<br></li><li>Summary and Conclusions<br></li><li>Acknowledgments<br></li><li>References Cited<br></li><li>Appendix 1. Summary of Duluth-Area Segment Classification Characteristics at the 51&nbsp;Study Sites, 2013<br></li><li>Appendix 2. Reach Maps of Intensive Sites<br></li><li>Appendix 3. Data Associated with Cross-Section and Longitudinal Profiles at Intensive&nbsp;Sites<br></li><li>Appendix 4. Summary of Field Assessment Data for Each Site<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-09-01","noUsgsAuthors":false,"publicationDate":"2016-09-01","publicationStatus":"PW","scienceBaseUri":"57c9431fe4b0f2f0cec13588","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075 fafitzpa@usgs.gov","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":150001,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","email":"fafitzpa@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":647767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Czuba, Christiana R. cczuba@usgs.gov","contributorId":4555,"corporation":false,"usgs":true,"family":"Czuba","given":"Christiana","email":"cczuba@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Benjamin M. byoung@usgs.gov","contributorId":5591,"corporation":false,"usgs":true,"family":"Young","given":"Benjamin","email":"byoung@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":647769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCool, Molly M. mmccool@usgs.gov","contributorId":169107,"corporation":false,"usgs":true,"family":"McCool","given":"Molly","email":"mmccool@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Groten, Joel T. jgroten@usgs.gov","contributorId":171771,"corporation":false,"usgs":true,"family":"Groten","given":"Joel T.","email":"jgroten@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":647771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178668,"text":"70178668 - 2016 - Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO<sub>2</sub> column","interactions":[],"lastModifiedDate":"2017-04-25T16:47:59","indexId":"70178668","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO<sub>2</sub> column","docAbstract":"<p><span>Owing to human activity, global nitrogen (N) cycles have been altered. In the past 100&nbsp;years, global N deposition has increased. Currently, the monitoring and estimating of N deposition and the evaluation of its effects on global carbon budgets are the focus of many researchers. NO</span><sub>2</sub><span> columns retrieved by space-borne sensors provide us with a new way of exploring global N cycles and these have the ability to estimate N deposition. However, the time range limitation of NO</span><sub>2</sub><span> columns makes the estimation of long timescale N deposition difficult. In this study we used ground-based NO</span><sub>x</sub><span> emission data to expand the density of NO</span><sub>2</sub><span>columns, and 40&nbsp;years of N deposition (1970–2009) was inverted using the multivariate linear model with expanded NO</span><sub>2</sub><span> columns. The dynamic of N deposition was examined in both global and biome scales. The results show that the average N deposition was 0.34&nbsp;g&nbsp;N&nbsp;m</span><sup>–2</sup><span> year</span><sup>–1</sup><span> in the 2000s, which was an increase of 38.4% compared with the 1970s’. The total N deposition in different biomes is unbalanced. N deposition is only 38.0% of the global total in forest biomes; this is made up of 25.9%, 11.3, and 0.7% in tropical, temperate, and boreal forests, respectively. As N-limited biomes, there was little increase of N deposition in boreal forests. However, N deposition has increased by a total of 59.6% in tropical forests and croplands, which are N-rich biomes. Such characteristics may influence the effects on global carbon budgets.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01431161.2016.1225178","usgsCitation":"Lu, X., Zhang, X., Liu, J., and Jin, J., 2016, Estimating 40 years of nitrogen deposition in global biomes using the SCIAMACHY NO<sub>2</sub> column: International Journal of Remote Sensing, v. 37, no. 20, p. 4964-4978, https://doi.org/10.1080/01431161.2016.1225178.","productDescription":"15 p.","startPage":"4964","endPage":"4978","ipdsId":"IP-076950","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":331434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"20","noUsgsAuthors":false,"publicationDate":"2016-09-21","publicationStatus":"PW","scienceBaseUri":"584144e0e4b04fc80e5073ac","contributors":{"authors":[{"text":"Lu, Xuehe","contributorId":73517,"corporation":false,"usgs":true,"family":"Lu","given":"Xuehe","affiliations":[],"preferred":false,"id":654763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Xiuying","contributorId":175218,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiuying","email":"","affiliations":[{"id":27538,"text":"International Institute for Earth System Science, Nanjing University, Xianlin Avenue 163, Nanjing 210093","active":true,"usgs":false}],"preferred":false,"id":654764,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jinxun 0000-0003-0561-8988 jxliu@usgs.gov","orcid":"https://orcid.org/0000-0003-0561-8988","contributorId":3414,"corporation":false,"usgs":true,"family":"Liu","given":"Jinxun","email":"jxliu@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":654765,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jin, Jiaxin","contributorId":13561,"corporation":false,"usgs":true,"family":"Jin","given":"Jiaxin","affiliations":[],"preferred":false,"id":654766,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177051,"text":"70177051 - 2016 - Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone","interactions":[],"lastModifiedDate":"2017-01-11T16:50:30","indexId":"70177051","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone","docAbstract":"<p><span>Knowledge of the local state of stress is critical in appraising intraplate seismic hazard. Inverting earthquake moment tensors, we demonstrate that principal stress directions in the New Madrid seismic zone (NMSZ) differ significantly from those in the surrounding region. Faults in the NMSZ that are incompatible with slip in the regional stress field are favorably oriented relative to local stress. We jointly analyze seismic velocity, gravity, and topography to develop a 3-D crustal and upper mantle density model, revealing uniquely dense lower crust beneath the NMSZ. Finite element simulations then estimate the stress tensor due to gravitational body forces, which sums with regional stress. The anomalous lower crust both elevates gravity-derived stress at seismogenic depths in the NMSZ and rotates it to interfere more constructively with far-field stress, producing a regionally maximal deviatoric stress coincident with the highest concentration of modern seismicity. Moreover, predicted principal stress directions mirror variations (observed independently in moment tensors) at the NMSZ and across the region.</span></p>","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2016GL070175","usgsCitation":"Levandowski, W.B., Boyd, O.S., and Ramirez-Guzman, L., 2016, Dense lower crust elevates long-term earthquake rates in the New Madrid seismic zone: Geophysical Research Letters, v. 43, no. 16, p. 8499-8510, https://doi.org/10.1002/2016GL070175.","productDescription":"12 p.","startPage":"8499","endPage":"8510","numberOfPages":"12","ipdsId":"IP-077991","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl070175","text":"Publisher Index Page"},{"id":329638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.703125,\n              35.137879119634185\n            ],\n            [\n              -90.703125,\n              36.99377838872517\n            ],\n            [\n              -88.714599609375,\n              36.99377838872517\n            ],\n            [\n              -88.714599609375,\n              35.137879119634185\n            ],\n            [\n              -90.703125,\n              35.137879119634185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"43","issue":"16","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-30","publicationStatus":"PW","scienceBaseUri":"5805e34ee4b0824b2d1c24c0","contributors":{"authors":[{"text":"Levandowski, William Brower 0000-0003-4903-5012 wlevandowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4903-5012","contributorId":5729,"corporation":false,"usgs":true,"family":"Levandowski","given":"William","email":"wlevandowski@usgs.gov","middleInitial":"Brower","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":651141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":651142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Guzman, Leonardo","contributorId":175444,"corporation":false,"usgs":false,"family":"Ramirez-Guzman","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":651143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70185033,"text":"70185033 - 2016 - A strategy for recovering continuous behavioral telemetry data from Pacific walruses","interactions":[],"lastModifiedDate":"2018-06-16T17:47:36","indexId":"70185033","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","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":"A strategy for recovering continuous behavioral telemetry data from Pacific walruses","docAbstract":"<p><span>Tracking animal behavior and movement with telemetry sensors can offer substantial insights required for conservation. Yet, the value of data collected by animal-borne telemetry systems is limited by bandwidth constraints. To understand the response of Pacific walruses (</span><i>Odobenus rosmarus divergens</i><span>) to rapid changes in sea ice availability, we required continuous geospatial chronologies of foraging behavior. Satellite telemetry offered the only practical means to systematically collect such data; however, data transmission constraints of satellite data-collection systems limited the data volume that could be acquired. Although algorithms exist for reducing sensor data volumes for efficient transmission, none could meet our requirements. Consequently, we developed an algorithm for classifying hourly foraging behavior status aboard a tag with limited processing power. We found a 98% correspondence of our algorithm's classification with a test classification based on time–depth data recovered and characterized through multivariate analysis in a separate study. We then applied our algorithm within a telemetry system that relied on remotely deployed satellite tags. Data collected by these tags from Pacific walruses across their range during 2007–2015 demonstrated the consistency of foraging behavior collected by this strategy with data collected by data logging tags; and demonstrated the ability to collect geospatial behavioral chronologies with minimal missing data where recovery of data logging tags is precluded. Our strategy for developing a telemetry system may be applicable to any study requiring intelligent algorithms to continuously monitor behavior, and then compress those data into meaningful information that can be efficiently transmitted.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.685","usgsCitation":"Fischbach, A.S., and Jay, C.V., 2016, A strategy for recovering continuous behavioral telemetry data from Pacific walruses: Wildlife Society Bulletin, v. 40, no. 3, p. 599-604, https://doi.org/10.1002/wsb.685.","productDescription":"6 p.","startPage":"599","endPage":"604","ipdsId":"IP-072182","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":500040,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/8556f5253616444cbdd9ed1af2942bf8","text":"External Repository"},{"id":337496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-12","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abcd9","chorus":{"doi":"10.1002/wsb.685","url":"http://dx.doi.org/10.1002/wsb.685","publisher":"Wiley-Blackwell","authors":"Fischbach Anthony, Jay Chadwick V.","journalName":"Wildlife Society Bulletin","publicationDate":"9/2016"},"contributors":{"authors":[{"text":"Fischbach, Anthony S. 0000-0002-6555-865X afischbach@usgs.gov","orcid":"https://orcid.org/0000-0002-6555-865X","contributorId":2865,"corporation":false,"usgs":true,"family":"Fischbach","given":"Anthony","email":"afischbach@usgs.gov","middleInitial":"S.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jay, Chadwick V. 0000-0002-9559-2189 cjay@usgs.gov","orcid":"https://orcid.org/0000-0002-9559-2189","contributorId":192736,"corporation":false,"usgs":true,"family":"Jay","given":"Chadwick","email":"cjay@usgs.gov","middleInitial":"V.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":684022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70179384,"text":"70179384 - 2016 - H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1","interactions":[],"lastModifiedDate":"2017-02-17T15:02:49","indexId":"70179384","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1","docAbstract":"<p><span>We report here the genomic sequence of an H9N2 influenza A virus [A/greater white-fronted goose/Alaska/81081/2008 (H9N2)]. This virus shares ≥99.8% identity with a previously reported virus. Both strains contain a G590S mutation in the polymerase basic 2 (PB2) gene, which is a pathogenicity marker in the pandemic 2009 H1N1 virus when combined with R591.</span></p>","language":"English","publisher":"American Society for Microbiology ","doi":"10.1128/genomeA.00869-16","usgsCitation":"Reeves, A.B., and Ip, S., 2016, H9N2 influenza A virus isolated from a Greater White-fronted wild goose (Anser albifrons) in Alaska has a mutation in the PB2 gene, which is associated with pathogenicity in human pandemic 2009 H1N1: Genome Announcements, v. 4, no. 5, 2 p. , https://doi.org/10.1128/genomeA.00869-16.","productDescription":"2 p. ","ipdsId":"IP-076754","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.00869-16","text":"Publisher Index Page"},{"id":332673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"586781f7e4b0cd2dabe7c717","contributors":{"authors":[{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","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":657009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":657010,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70176491,"text":"70176491 - 2016 - <i>Gopherus Agassizii</i> (Mohave Desert Tortoise). Nest Depredation","interactions":[],"lastModifiedDate":"2017-05-03T13:14:24","indexId":"70176491","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"<i>Gopherus Agassizii</i> (Mohave Desert Tortoise). Nest Depredation","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Herpetological Review","usgsCitation":"Henderson, R.A., Puffer, S.R., and Lovich, J.E., 2016, <i>Gopherus Agassizii</i> (Mohave Desert Tortoise). Nest Depredation: Herpetological Review, v. 47, no. 3, p. 446-447.","productDescription":"2 p.","startPage":"446","endPage":"447","ipdsId":"IP-076691","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":328707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c657e4b0bc0bec09c917","contributors":{"authors":[{"text":"Henderson, R. A.","contributorId":174671,"corporation":false,"usgs":false,"family":"Henderson","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":648946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Puffer, S. R.","contributorId":174672,"corporation":false,"usgs":false,"family":"Puffer","given":"S.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":648947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":648948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187566,"text":"70187566 - 2016 - Land use effects on pesticides in sediments of prairie pothole wetlands in North and South Dakota","interactions":[],"lastModifiedDate":"2017-05-09T11:00:06","indexId":"70187566","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Land use effects on pesticides in sediments of prairie pothole wetlands in North and South Dakota","docAbstract":"<p><span>Prairie potholes are the dominant wetland type in the intensively cultivated northern Great Plains of North America, and thus have the potential to receive pesticide runoff and drift. We examined the presence of pesticides in sediments of 151 wetlands split among the three dominant land use types, Conservation Reserve Program (CRP), cropland, and native prairie, in North and South Dakota in 2011. Herbicides (glyphosate and atrazine) and fungicides were detected regularly, with no insecticide detections. Glyphosate was the most detected pesticide, occurring in 61% of all wetlands, with atrazine in only 8% of wetlands. Pyraclostrobin was one of five fungicides detected, but the only one of significance, being detected in 31% of wetlands. Glyphosate was the only pesticide that differed by land use, with concentrations in cropland over four-times that in either native prairie or CRP, which were equal in concentration and frequency of detection. Despite examining several landscape variables, such as wetland proximity to specific crop types, watershed size, and others, land use was the best variable explaining pesticide concentrations in potholes. CRP ameliorated glyphosate in wetlands at concentrations comparable to native prairie and thereby provides another ecosystem service from this expansive program.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.04.209","usgsCitation":"McMurry, S.T., Belden, J.B., Smith, L.M., Morrison, S.A., Daniel, D.W., Euliss, B.R., Euliss, N., Kensinger, B.J., and Tangen, B., 2016, Land use effects on pesticides in sediments of prairie pothole wetlands in North and South Dakota: Science of the Total Environment, v. 565, p. 682-689, https://doi.org/10.1016/j.scitotenv.2016.04.209.","productDescription":"8 p.","startPage":"682","endPage":"689","ipdsId":"IP-062716","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":462105,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2016.04.209","text":"Publisher Index Page"},{"id":340991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota, South Dakota","volume":"565","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5912d537e4b0e541a03d4523","contributors":{"authors":[{"text":"McMurry, Scott T.","contributorId":191876,"corporation":false,"usgs":false,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":694581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belden, Jason B.","contributorId":191877,"corporation":false,"usgs":false,"family":"Belden","given":"Jason","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":694582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Loren M.","contributorId":191878,"corporation":false,"usgs":false,"family":"Smith","given":"Loren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":694583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Shane A.","contributorId":191879,"corporation":false,"usgs":false,"family":"Morrison","given":"Shane","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":694584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Dale W.","contributorId":191880,"corporation":false,"usgs":false,"family":"Daniel","given":"Dale","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":694585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":694586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Ned H. Jr.","contributorId":178233,"corporation":false,"usgs":false,"family":"Euliss","given":"Ned H. Jr.","affiliations":[],"preferred":false,"id":694587,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kensinger, Bart J.","contributorId":191882,"corporation":false,"usgs":false,"family":"Kensinger","given":"Bart","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":694588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tangen, Brian 0000-0001-5157-9882 btangen@usgs.gov","orcid":"https://orcid.org/0000-0001-5157-9882","contributorId":167277,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian","email":"btangen@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":694580,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70187240,"text":"70187240 - 2016 - Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia","interactions":[],"lastModifiedDate":"2017-04-28T13:32:23","indexId":"70187240","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5085,"text":"Journal of Ecology and the Natural Environment","active":true,"publicationSubtype":{"id":10}},"title":"Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia","docAbstract":"<p><span>Large-scale coal mining practices, particularly surface coal extraction and associated valley fills as well as residential wastewater discharge, are of ecological concern for aquatic systems in central Appalachia. Identifying and quantifying alterations to ecosystems along a gradient of spatial scales is a necessary first-step to aid in mitigation of negative consequences to aquatic biota. In central Appalachian headwater streams, apart from fish, salamanders are the most abundant vertebrate predator that provide a significant intermediate trophic role linking aquatic and terrestrial food webs. Stream salamander species are considered to be sensitive to aquatic stressors and environmental alterations, as past research has shown linkages among microhabitat parameters, large-scale land use such as urbanization and logging, and salamander abundances. However, there is little information examining these relationships between environmental conditions and salamander occupancy in the coalfields of central Appalachia. In the summer of 2013, 70 sites (sampled two to three times each) in the southwest Virginia coalfields were visited to collect salamanders and quantify stream and riparian microhabitat parameters. Using an information-theoretic framework, effects of microhabitat and large-scale land use on stream salamander occupancy were compared. The findings indicate that </span><i>Desmognathus </i><span>spp. occupancy rates are more correlated to microhabitat parameters such as canopy cover than to large-scale land uses. However, </span><i>Eurycea </i><span>spp</span><i>.</i><span> occupancy rates had a strong association with large-scale land uses, particularly recent mining and forest cover within the watershed. These findings suggest that protection of riparian habitats is an important consideration for maintaining aquatic systems in central Appalachia. If this is not possible, restoration riparian areas should follow guidelines using quick-growing tree species that are native to Appalachian riparian areas. These types of trees would rapidly establish a canopy cover, stabilize the soil, and impede invasive plant species which would, in turn, provide high-quality refuges for stream salamanders.</span></p>","language":"English","publisher":"Academic Journals","doi":"10.5897/JENE2016.0564","usgsCitation":"Sweeten, S.E., and Ford, W.M., 2016, Effects of microhabitat and large-scale land use on stream salamander occupancy in the coalfields of Central Appalachia: Journal of Ecology and the Natural Environment, v. 8, no. 9, p. 129-141, https://doi.org/10.5897/JENE2016.0564.","productDescription":"13 p.","startPage":"129","endPage":"141","ipdsId":"IP-065420","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5897/jene2016.0564","text":"Publisher Index Page"},{"id":340619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc234","contributors":{"authors":[{"text":"Sweeten, Sara E.","contributorId":191565,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":693500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":693092,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182077,"text":"70182077 - 2016 - Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants","interactions":[],"lastModifiedDate":"2018-08-16T21:28:42","indexId":"70182077","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":892,"text":"Archives of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants","docAbstract":"<p><span>In August 2014, a low-pathogenic H7N3 influenza A virus was isolated from pheasants at a New Jersey gamebird farm and hunting preserve. In this study, we use phylogenetic analyses and calculations of genetic similarity to gain inference into the genetic ancestry of this virus and to identify potential routes of transmission. Results of maximum-likelihood (ML) and maximum-clade-credibility (MCC) phylogenetic analyses provide evidence that A/pheasant/New Jersey/26996-2/2014 (H7N3) had closely related H7 hemagglutinin (HA) and N3 neuraminidase (NA) gene segments as compared to influenza A viruses circulating among wild waterfowl in the central and eastern USA. The estimated time of the most recent common ancestry (TMRCA) between the pheasant virus and those most closely related from wild waterfowl was early 2013 for both the H7 HA and N3 NA gene segments. None of the viruses from waterfowl identified as being most closely related to A/pheasant/New Jersey/26996-2/2014 at the HA and NA gene segments in ML and MCC phylogenetic analyses shared ≥99&nbsp;% nucleotide sequence identity for internal gene segment sequences. This result indicates that specific viral strains identified in this study as being closely related to the HA and NA gene segments of A/pheasant/New Jersey/26996-2/2014 were not the direct predecessors of the etiological agent identified during the New Jersey outbreak. However, the recent common ancestry of the H7 and N3 gene segments of waterfowl-origin viruses and the virus isolated from pheasants suggests that viral diversity maintained in wild waterfowl likely played an important role in the emergence of A/pheasant/New Jersey/26996-2/2014.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00705-016-2947-z","usgsCitation":"Ramey, A.M., Kim Torchetti, M., Poulson, R.L., Carter, D.L., Reeves, A.B., Link, P., Walther, P., Lebarbenchon, C., and Stallknecht, D.E., 2016, Evidence for wild waterfowl origin of H7N3 influenza A virus detected in captive-reared New Jersey pheasants: Archives of Virology, v. 161, no. 9, p. 2519-2526, https://doi.org/10.1007/s00705-016-2947-z.","productDescription":"8 p.","startPage":"2519","endPage":"2526","ipdsId":"IP-073296","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470618,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11302360","text":"External Repository"},{"id":335678,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"58a6c832e4b025c46428628c","chorus":{"doi":"10.1007/s00705-016-2947-z","url":"http://dx.doi.org/10.1007/s00705-016-2947-z","publisher":"Springer Nature","authors":"Ramey Andrew M., Kim Torchetti Mia, Poulson Rebecca L., Carter Deborah, Reeves Andrew B., Link Paul, Walther Patrick, Lebarbenchon Camille, Stallknecht David E.","journalName":"Archives of Virology","publicationDate":"7/2/2016","auditedOn":"2/8/2017","publiclyAccessibleDate":"7/2/2016"},"contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":669532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kim Torchetti, Mia","contributorId":139355,"corporation":false,"usgs":false,"family":"Kim Torchetti","given":"Mia","email":"","affiliations":[{"id":12747,"text":"USDA APHIS VS National Veterinary Services Laboratories, Ames, IA","active":true,"usgs":false}],"preferred":false,"id":669533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulson, Rebecca L.","contributorId":68669,"corporation":false,"usgs":true,"family":"Poulson","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":669534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carter, Deborah L.","contributorId":87473,"corporation":false,"usgs":true,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":669535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":669536,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Link, Paul","contributorId":22707,"corporation":false,"usgs":true,"family":"Link","given":"Paul","affiliations":[],"preferred":false,"id":669537,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walther, Patrick","contributorId":42153,"corporation":false,"usgs":true,"family":"Walther","given":"Patrick","affiliations":[],"preferred":false,"id":669538,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lebarbenchon, Camille","contributorId":140670,"corporation":false,"usgs":false,"family":"Lebarbenchon","given":"Camille","email":"","affiliations":[],"preferred":false,"id":669539,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stallknecht, David E.","contributorId":20230,"corporation":false,"usgs":true,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":669540,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70192982,"text":"70192982 - 2016 - Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates","interactions":[],"lastModifiedDate":"2018-03-26T11:39:57","indexId":"70192982","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates","docAbstract":"<p><span>Urban freshwater streams in arid climates are wastewater effluent dominated ecosystems particularly impacted by bioactive chemicals including steroid estrogens that disrupt vertebrate reproduction. However, more understanding of the population and ecological consequences of exposure to wastewater effluent is needed. We used empirically derived vital rate estimates from a mesocosm study to develop a stochastic stage-structured population model and evaluated the effect of 17α-ethinylestradiol (EE2), the estrogen in human contraceptive pills, on fathead minnow&nbsp;</span><i class=\"EmphasisTypeItalic \">Pimephales promelas</i><span><span>&nbsp;</span>stochastic population growth rate. Tested EE2 concentrations ranged from 3.2 to 10.9&nbsp;ng L</span><sup>−1</sup><span><span>&nbsp;</span>and produced stochastic population growth rates (λ</span><sub><span>&nbsp;</span><i class=\"EmphasisTypeItalic \">S</i><span>&nbsp;</span></sub><span>) below 1 at the lowest concentration, indicating potential for population decline. Declines in λ</span><sub><span>&nbsp;</span><i class=\"EmphasisTypeItalic \">S</i><span>&nbsp;</span></sub><span>compared to controls were evident in treatments that were lethal to adult males despite statistically insignificant effects on egg production and juvenile recruitment. In fact, results indicated that λ</span><sub><span>&nbsp;</span><i class=\"EmphasisTypeItalic \">S</i><span>&nbsp;</span></sub><span>was most sensitive to the survival of juveniles and female egg production. More broadly, our results document that population model results may differ even when empirically derived estimates of vital rates are similar among experimental treatments, and demonstrate how population models integrate and project the effects of stressors throughout the life cycle. Thus, stochastic population models can more effectively evaluate the ecological consequences of experimentally derived vital rates.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10646-016-1688-9","usgsCitation":"Schwindt, A.R., and Winkelman, D.L., 2016, Estimating the effects of 17α-ethinylestradiol on stochastic population growth rate of fathead minnows: a population synthesis of empirically derived vital rates: Ecotoxicology, v. 25, no. 7, p. 1364-1375, https://doi.org/10.1007/s10646-016-1688-9.","productDescription":"12 p.","startPage":"1364","endPage":"1375","ipdsId":"IP-057272","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348368,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-02","publicationStatus":"PW","scienceBaseUri":"5a07e9dae4b09af898c8cc5a","contributors":{"authors":[{"text":"Schwindt, Adam R.","contributorId":173697,"corporation":false,"usgs":false,"family":"Schwindt","given":"Adam","email":"","middleInitial":"R.","affiliations":[{"id":25665,"text":"Oregon State University, Corvallis, Oregon","active":true,"usgs":false}],"preferred":false,"id":720901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717527,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192761,"text":"70192761 - 2016 - Toxicity of potassium chloride to veliger and byssal stage dreissenid mussels related to water quality","interactions":[],"lastModifiedDate":"2017-11-07T14:58:56","indexId":"70192761","displayToPublicDate":"2016-09-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of potassium chloride to veliger and byssal stage dreissenid mussels related to water quality","docAbstract":"<p>Natural resource managers are seeking appropriate chemical eradication and control protocols for infestations of zebra mussels, Dreissena polymorpha (Pallas, 1769), and quagga mussels. D. rostiformis bugensis (Andrusov, 1897) that have limited effect on non-target species. Applications of low concentrations of potassium salt (as potash) have shown promise for use where the infestation and treatment can be contained or isolated. To further our understanding of such applications and obtain data that could support a pesticide registration, we conducted studies of the acute and chronic toxicity of potassium chloride to dreissenid mussels in four different water sources from infested and non-infested locations (ground water from northern Idaho, surface water from the Snake River, Idaho, USA, surface water from Lake Ontario, Ontario, Canada, and surface water from the Colorado River, Arizona, USA). We found short term exposure of veligers (&lt; 24 h) to concentrations of 960 mg/L KCl produced rapid mortality in water from three locations, but veligers tested in Colorado River water were resistant. We used probit models to compare the mortality responses, predicted median lethal times and 95% confidence intervals. In separate experiments, we explored the sensitivity of byssal stage mussels in chronic exposures (&gt;29 d) at concentrations of 100 and 200 mg/L KCl. Rapid mortality occurred within 10 d of exposure to concentrations of 200 mg/L KCl, regardless of water source. Kaplan-Meier estimates of mean survival of byssal mussels in 100 mg/L KCl prepared in surface water from Idaho and Lake Ontario were 4.9 or 6.9 d, respectively; however, mean survival of mussels tested in the Colorado River water was &gt; 23 d. The sodium content of the Colorado River water was nearly three times that measured in waters from the other locations, and we hypothesized sodium concentrations may affect mussel survival. To test our hypothesis, we supplemented Snake River and Lake Ontario water with NaCl to equivalent conductivity as the Colorado River, and found mussel survival increased to levels observed in tests of veliger and byssal mussels in Colorado River water. We recommend KCl disinfection and eradication protocols must be developed to carefully consider the water quality characteristics of treatment locations.</p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2016.7.3.05","usgsCitation":"Moffitt, C.M., Stockton-Fiti, K.A., and Claudi, R., 2016, Toxicity of potassium chloride to veliger and byssal stage dreissenid mussels related to water quality: Management of Biological Invasions, v. 7, no. 3, p. 257-268, https://doi.org/10.3391/mbi.2016.7.3.05.","productDescription":"12 p.","startPage":"257","endPage":"268","ipdsId":"IP-073121","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.3.05","text":"Publisher Index Page"},{"id":348406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e9dbe4b09af898c8cc5c","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockton-Fiti, Kelly A.","contributorId":200103,"corporation":false,"usgs":false,"family":"Stockton-Fiti","given":"Kelly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claudi, Renata","contributorId":171420,"corporation":false,"usgs":false,"family":"Claudi","given":"Renata","email":"","affiliations":[{"id":26908,"text":"RNT Consulting Inc., Canada","active":true,"usgs":false}],"preferred":false,"id":721004,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176178,"text":"70176178 - 2016 - Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates <i>Gammarus lacustris</i> (Amphipoda: Gammaridae) and <i>Hexagenia</i> spp. (Ephemeroptera: Ephemeridae)","interactions":[],"lastModifiedDate":"2016-08-31T16:05:18","indexId":"70176178","displayToPublicDate":"2016-08-31T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates <i>Gammarus lacustris</i> (Amphipoda: Gammaridae) and <i>Hexagenia</i> spp. (Ephemeroptera: Ephemeridae)","docAbstract":"<p><span>Zequanox® is a commercial formulation of the killed bacterium, </span><i>Pseudomonas fluorescens</i><span> (strain CL145A), that was developed to control dreissenid mussels. In 2014, Zequanox became the second product registered by the United States Environmental Protection Agency (USEPA) for use in open water environments as a molluscicide. Previous nontarget studies demonstrated the safety and selectivity of </span><i>P. fluorescens</i><span> CL154A, but the database on the toxicity of the formulation (Zequanox) is limited for macroinvertebrate taxa and exposure conditions. We evaluated the safety of Zequanox to the amphipod </span><i>Gammarus lacustris lacustris</i><span>, and nymphs of the burrowing mayfly, </span><i>Hexagenia</i><span> spp. at the maximum approved concentration (100 mg/L active ingredient, A.I.) and exposure duration (8 h). Survival of animals was assessed after 8 h of exposure and again at 24 and 96 h post-exposure. Histopathology of the digestive tract of control and treated animals was compared at 96 h post-exposure. The results showed no significant effect of Zequanox on survival of either species. Survival of </span><i>G. lacustris</i><span> exceeded 85% in all concentrations at all three sampling time points. Survival of </span><i>Hexagenia</i><span> spp. ranged from 71% (control) to 91% at 8 h, 89–93% at 24 h post-exposure, and 70–73% at 96 h post-exposure across all treatments. We saw no evidence of pathology in the visceral organs of treated animals. Our results indicate that application of Zequanox at the maximum approved concentration and exposure duration did not cause significant mortality or treatment-related histopathological changes to </span><i>G. lacustris</i><span> and </span><i>Hexagenia</i><span> spp.</span></p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre - REABIC","doi":"10.3391/mbi.2016.7.3.06","usgsCitation":"Waller, D.L., Luoma, J.A., and Erickson, R.A., 2016, Safety of the molluscicide Zequanox (R) to nontarget macroinvertebrates <i>Gammarus lacustris</i> (Amphipoda: Gammaridae) and <i>Hexagenia</i> spp. (Ephemeroptera: Ephemeridae): Management of Biological Invasions, v. 7, no. 3, p. 269-280, https://doi.org/10.3391/mbi.2016.7.3.06.","productDescription":"12 p.","startPage":"269","endPage":"280","ipdsId":"IP-071502","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470630,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2016.7.3.06","text":"Publisher Index Page"},{"id":328153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c7f1ade4b0f2f0cebf11b3","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":647611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}