{"pageNumber":"1341","pageRowStart":"33500","pageSize":"25","recordCount":165446,"records":[{"id":70138526,"text":"70138526 - 2014 - Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover","interactions":[],"lastModifiedDate":"2019-12-10T14:43:58","indexId":"70138526","displayToPublicDate":"2014-03-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover","docAbstract":"<p>(Introduction) Microbe-mineral interactions and biosignature preservation in oxidized sulfidic ore bodies (gossans) are prime candidates for astrobiological study. Such oxidized iron systems have been proposed as analogs for some Martian environments. Recent studies identified microbial fossils preserved as mineral-coated filaments. This study documents microbially-mediated mineral biosignatures in hydrous ferric oxide (HFO) and ferric oxyhydroxysulfates (FOHS) in three environments at Iron Mountain, CA. We investigated microbial community preservation via HFO and FOHS precipitation and the formation of filamentous mineral biosignatures. These environments included 1) actively precipitating (1000's yrs), naturally weathered HFO from in situ gossan, and 3) remobilized iron deposits, which contained lithified clastics and zones of HFO precipitate. We used published biogenicity criteria as guidelines to characterize the biogenicity of mineral filaments. These criteria included A) an actively precipitating environment where microbes are known to be coated in minerals, B) presence of extant microbial communities with carbon signatures, C) structures observable as a part of the host rock, and D) biological morphology, including cellular lumina, multiple member population, numerous taxa, variable and 3-D preservation, biological size ranges, uniform diameter, and evidence of flexibility. This study explores the relevance and detection of these biosignatures to possible Martian biosignatures. Similar filamentous biosignatures are resolvable by the Mars Hand Lens Imager (MAHLI) onboard the Mars Science Laboratory (MSL) rover, Curiosity, and may be identifiable as biogenic if present on Mars.</p>","conferenceTitle":"45h Lunar and Planetary Science Conference","conferenceDate":"March 17-21, 2014","conferenceLocation":"Woodlands, Texas","language":"English","publisher":"Lunar and Planetary Institute","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Williams, A.J., Sumner, D.Y., Alpers, C.N., Campbell, K.M., and Nordstrom, D.K., 2014, Biogenic iron mineralization at Iron Mountain, CA with implications for detection with the Mars Curiosity rover, 45h Lunar and Planetary Science Conference, Woodlands, Texas, March 17-21, 2014, p. 1-2.","productDescription":"2 p.","startPage":"1","endPage":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053593","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":311114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":297363,"type":{"id":15,"text":"Index Page"},"url":"https://www.hou.usra.edu/meetings/lpsc2014/pdf/2589.pdf"}],"country":"United States","state":"California","otherGeospatial":"Iron Mountain Mine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.81890869140625,\n              40.67855510939917\n            ],\n            [\n              -122.33001708984374,\n              40.67855510939917\n            ],\n            [\n              -122.33001708984374,\n              41.12281462734397\n            ],\n            [\n              -122.81890869140625,\n              41.12281462734397\n            ],\n            [\n              -122.81890869140625,\n              40.67855510939917\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5641d1bbe4b0831b7d62e732","contributors":{"authors":[{"text":"Williams, Amy J.","contributorId":138805,"corporation":false,"usgs":false,"family":"Williams","given":"Amy","email":"","middleInitial":"J.","affiliations":[{"id":12532,"text":"Univ. of California, Davis","active":true,"usgs":false}],"preferred":false,"id":538793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sumner, Dawn Y.","contributorId":88997,"corporation":false,"usgs":true,"family":"Sumner","given":"Dawn","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":538794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":538792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":538795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":538796,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70187384,"text":"70187384 - 2014 - Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management","interactions":[],"lastModifiedDate":"2017-05-01T12:47:43","indexId":"70187384","displayToPublicDate":"2014-03-21T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management","docAbstract":"<p><span>Few studies have evaluated the rate of infection or mode of transmission for wildlife diseases, and the implications of alternative management strategies. We used hunter harvest data from 2002 to 2013 to investigate chronic wasting disease (CWD) infection rate and transmission modes, and address how alternative management approaches affect disease dynamics in a Wisconsin white-tailed deer population. Uncertainty regarding demographic impacts of CWD on cervid populations, human and domestic animal health concerns, and potential economic consequences underscore the need for strategies to control CWD distribution and prevalence. Using maximum-likelihood methods to evaluate alternative multi-state deterministic models of CWD transmission, harvest data strongly supports a frequency-dependent transmission structure with sex-specific infection rates that are two times higher in males than females. As transmissible spongiform encephalopathies are an important and difficult-to-study class of diseases with major economic and ecological implications, our work supports the hypothesis of frequency-dependent transmission in wild deer at a broad spatial scale and indicates that effective harvest management can be implemented to control CWD prevalence. Specifically, we show that harvest focused on the greater-affected sex (males) can result in stable population dynamics and control of CWD within the next 50 years, given the constraints of the model. We also provide a quantitative estimate of geographic disease spread in southern Wisconsin, validating qualitative assessments that CWD spreads relatively slowly. Given increased discovery and distribution of CWD throughout North America, insights from our study are valuable to management agencies and to the general public concerned about the impacts of CWD on white-tailed deer populations.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0091043","usgsCitation":"Jennelle, C., Henaux, V., Wasserberg, G., Thiagarajan, B., Rolley, R.E., and Samuel, M.D., 2014, Transmission of chronic wasting disease in Wisconsin white-tailed deer: Implications for disease spread and management: PLoS ONE, v. 9, no. 3, p. 1-12, https://doi.org/10.1371/journal.pone.0091043.","productDescription":" e91043; 12 p.","startPage":"1","endPage":"12","ipdsId":"IP-038460","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091043","text":"Publisher Index Page"},{"id":340673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"59084932e4b0fc4e448ffd82","contributors":{"authors":[{"text":"Jennelle, Christopher S.","contributorId":50823,"corporation":false,"usgs":true,"family":"Jennelle","given":"Christopher S.","affiliations":[],"preferred":false,"id":693757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henaux, Viviane","contributorId":171388,"corporation":false,"usgs":false,"family":"Henaux","given":"Viviane","email":"","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":693758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wasserberg, Gideon","contributorId":31185,"corporation":false,"usgs":true,"family":"Wasserberg","given":"Gideon","email":"","affiliations":[],"preferred":false,"id":693759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thiagarajan, Bala","contributorId":92520,"corporation":false,"usgs":true,"family":"Thiagarajan","given":"Bala","email":"","affiliations":[],"preferred":false,"id":693760,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rolley, Robert E.","contributorId":171376,"corporation":false,"usgs":false,"family":"Rolley","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":24833,"text":"Wisconsin DNR, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":693761,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693721,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70098154,"text":"ofr20141056 - 2014 - Summary and abstracts of the Planetary Data Workshop, June 2012","interactions":[],"lastModifiedDate":"2019-02-11T10:40:55","indexId":"ofr20141056","displayToPublicDate":"2014-03-20T16:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1056","title":"Summary and abstracts of the Planetary Data Workshop, June 2012","docAbstract":"The recent boom in the volume of digital data returned by international planetary science missions continues to both delight and confound users of those data. In just the past decade, the Planetary Data System (PDS), NASA’s official archive of scientific results from U.S. planetary missions, has seen a nearly 50-fold increase in the amount of data and now serves nearly half a petabyte. In only a handful of years, this volume is expected to approach 1 petabyte (1,000 terabytes or 1 quadrillion bytes). Although data providers, archivists, users, and developers have done a creditable job of providing search functions, download capabilities, and analysis and visualization tools, the new wealth of data necessitates more frequent and extensive discussion among users and developers about their current capabilities and their needs for improved and new tools. A workshop to address these and other topics, “Planetary Data: A Workshop for Users and Planetary Software Developers,” was held June 25–29, 2012, at Northern Arizona University (NAU) in Flagstaff, Arizona. A goal of the workshop was to present a summary of currently available tools, along with hands-on training and how-to guides, for acquiring, processing and working with a variety of digital planetary data. The meeting emphasized presentations by data users and mission providers during days 1 and 2, and developers had the floor on days 4 and 5 using an “unconference” format for day 5. Day 3 featured keynote talks by Laurence Soderblom (U.S. Geological Survey, USGS) and Dan Crichton (Jet Propulsion Laboratory, JPL) followed by a panel discussion, and then research and technical discussions about tools and capabilities under recent or current development. Software and tool demonstrations were held in break-out sessions in parallel with the oral session. Nearly 150 data users and developers from across the globe attended, and 22 National Aeronautics and space Administration (NASA) and non-NASA data providers and missions were represented. Presentations (some in video format) and tutorials are posted on the meeting site (<a href=\"http://astrogeology.usgs.gov/groups/Planetary-Data-Workshop\">http://astrogeology.usgs.gov/groups/Planetary-Data-Workshop</a>).","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141056","issn":"2331-1258","usgsCitation":"Gaddis, L.R., Hare, T.M., and Beyer, R., 2014, Summary and abstracts of the Planetary Data Workshop, June 2012: U.S. Geological Survey Open-File Report 2014-1056, v, 199 p., https://doi.org/10.3133/ofr20141056.","productDescription":"v, 199 p.","onlineOnly":"Y","temporalStart":"2012-06-01","temporalEnd":"2012-06-30","ipdsId":"IP-049475","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":284345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141056.PNG"},{"id":284344,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1056/pdf/ofr2014-1056.pdf"},{"id":284090,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1056/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7517e4b0b2908510a08c","contributors":{"authors":[{"text":"Gaddis, Lisa R. 0000-0001-9953-5483 lgaddis@usgs.gov","orcid":"https://orcid.org/0000-0001-9953-5483","contributorId":2817,"corporation":false,"usgs":true,"family":"Gaddis","given":"Lisa","email":"lgaddis@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":491648,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":491649,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beyer, Ross","contributorId":71607,"corporation":false,"usgs":true,"family":"Beyer","given":"Ross","affiliations":[],"preferred":false,"id":491650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70096234,"text":"70096234 - 2014 - Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","interactions":[],"lastModifiedDate":"2018-09-14T16:06:39","indexId":"70096234","displayToPublicDate":"2014-03-20T15:28:20","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3249,"text":"Remediation Journal","active":true,"publicationSubtype":{"id":10}},"title":"Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA","docAbstract":"A former bulk fuel terminal in North Carolina is a groundwater phytoremediation demonstration site where 3,250 hybrid poplars, willows, and pine trees were planted from 2006 to 2008 over approximately 579,000 L of residual gasoline, diesel, and jet fuel. Since 2011, the groundwater altitude is lower in the area with trees than outside the planted area. Soil-gas analyses showed a 95 percent mass loss for total petroleum hydrocarbons (TPH) and a 99 percent mass loss for benzene, toluene, ethylbenzene, and xylenes (BTEX). BTEX and methyl tert-butyl ether concentrations have decreased in groundwater. Interpolations of free-phase, fuel product gauging data show reduced thicknesses across the site and pooling of fuel product where poplar biomass is greatest. Isolated clusters of tree mortalities have persisted in areas with high TPH and BTEX mass. Toxicity assays showed impaired water use for willows and poplars exposed to the site's fuel product, but Populus survival was higher than the willows or pines on-site, even in a noncontaminated control area. All four Populus clones survived well at the site.","language":"English","publisher":"Wiley","doi":"10.1002/rem.21382","usgsCitation":"Nichols, E.G., Cook, R.L., Landmeyer, J., Atkinson, B., Malone, D.R., Shaw, G., and Woods, L., 2014, Phytoremediation of a petroleum-hydrocarbon contaminated shallow aquifer in Elizabeth City, North Carolina, USA: Remediation Journal, v. 24, no. 2, p. 29-46, https://doi.org/10.1002/rem.21382.","productDescription":"18 p.","startPage":"29","endPage":"46","ipdsId":"IP-052835","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":488239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rem.21382","text":"Publisher Index Page"},{"id":287162,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287161,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rem.21382"}],"country":"United States","state":"North Carolina","city":"Elizabeth City","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.30,36.26 ], [ -76.30,36.34 ], [ -76.18,36.34 ], [ -76.18,36.26 ], [ -76.30,36.26 ] ] ] } } ] }","volume":"24","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-17","publicationStatus":"PW","scienceBaseUri":"53749071e4b0870f4d23cfcd","contributors":{"authors":[{"text":"Nichols, Elizabeth Guthrie","contributorId":51210,"corporation":false,"usgs":true,"family":"Nichols","given":"Elizabeth","email":"","middleInitial":"Guthrie","affiliations":[],"preferred":false,"id":491471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Rachel L.","contributorId":88270,"corporation":false,"usgs":true,"family":"Cook","given":"Rachel","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491473,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atkinson, Brad","contributorId":77848,"corporation":false,"usgs":true,"family":"Atkinson","given":"Brad","email":"","affiliations":[],"preferred":false,"id":491472,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malone, Donald R.","contributorId":9179,"corporation":false,"usgs":true,"family":"Malone","given":"Donald","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaw, George","contributorId":26628,"corporation":false,"usgs":true,"family":"Shaw","given":"George","email":"","affiliations":[],"preferred":false,"id":491469,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Woods, Leilani","contributorId":46011,"corporation":false,"usgs":true,"family":"Woods","given":"Leilani","email":"","affiliations":[],"preferred":false,"id":491470,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70161768,"text":"70161768 - 2014 - Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II","interactions":[],"lastModifiedDate":"2018-03-23T14:23:52","indexId":"70161768","displayToPublicDate":"2014-03-20T14:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II","docAbstract":"<p>Various types of evidence have been promulgated as proof for the effects of feral cats on wildlife, typically including numerous studies on predation inferred from diet, mortality attributed to pathogens, and photographic or videographic documentation. The strength of these types of evidence is often short of conclusive. For example, studies of predation inferred from diet provide weak evidence for two reasons: 1) they cannot differentiate depredation from scavenging by feral cats, and 2) they cannot address population-level effects on wildlife because it is rarely understood if mortality acts in compensatory or additive manner. Likewise, pathogens may cause mortality of individuals, but population-level effects of pathogens are rarely known. Photographic or videographic documentation provides direct &lsquo;smoking gun&rsquo; evidence that may be useful for positive identification of depredation by cats, or identification of prey designated as threatened or endangered species. However, the most direct and compelling evidence comes from examples where feral cats have been entirely removed from islands. In many cases, several species of seabirds as well as other wildlife have recovered after the complete removal of cats. Where possible, the experimental removal of cats would provide the most conclusive proof of effects on wildlife populations. In other cases where cat removal is not feasible, modeling based on predation rates and life history parameters of species may be the only means of assessing population-level effects on wildlife. Understanding population-level effects of feral cats on wildlife will ultimately be necessary to resolve long-standing wildlife management issues.</p>","conferenceTitle":"26th Vertebrate Pest Conference","conferenceDate":"March 3, 2014","conferenceLocation":"Waikoloa, HI","language":"English","publisher":"University of California, Davis","usgsCitation":"Hess, S.C., 2014, Strength of evidence for the effects of feral cats on insular wildlife: The Club Med Syndrome Part II, 26th Vertebrate Pest Conference, Waikoloa, HI, March 3, 2014, p. 211-216.","productDescription":"5 p.","startPage":"211","endPage":"216","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057984","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":326239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":326238,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.vpconference.org/Proceedings_of_the_Vertebrate_Pest_Conference/"}],"country":"United States","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a9ad73e4b05e859bdfbb17","contributors":{"authors":[{"text":"Hess, Steve C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":150366,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":587717,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70115696,"text":"70115696 - 2014 - Making One Health a reality: Crossing bureaucratic boundaries","interactions":[],"lastModifiedDate":"2022-12-09T15:02:15.711094","indexId":"70115696","displayToPublicDate":"2014-03-20T14:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"18","title":"Making One Health a reality: Crossing bureaucratic boundaries","docAbstract":"A One Health approach that achieves optimal outcomes requires that nontraditional partners come to a common table to identify solutions that transcend organization-specific mandates. This collaboration requires individuals to go beyond their accustomed comfort zones and function on teams with partners who very likely come from unfamiliar organizational, disciplinary, and even national cultures. Each participant represents a separate mandate and an individual corporate culture and values, and each potentially communicates in agency-specific or industry-prescribed cultural terms that may be foreign to the rest of the team. A recent review paper reports that such interdisciplinary teams are most likely to succeed when they have a unified task and a shared goal and values, and when personal relationships are developed from a foundation of trust and respect (1).","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"One Health: People, animals and the environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Wiley","doi":"10.1128/9781555818432.ch18","usgsCitation":"Rubin, C., Dunham, B., and Sleeman, J., 2014, Making One Health a reality: Crossing bureaucratic boundaries, chap. 18 <i>of</i> One Health: People, animals and the environment, p. 269-283, https://doi.org/10.1128/9781555818432.ch18.","productDescription":"15 p.","startPage":"269","endPage":"283","numberOfPages":"15","ipdsId":"IP-043553","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":289690,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2014-04-30","publicationStatus":"PW","scienceBaseUri":"53be5652e4b0527d5d409796","contributors":{"editors":[{"text":"Atlas, R.","contributorId":15869,"corporation":false,"usgs":true,"family":"Atlas","given":"R.","email":"","affiliations":[],"preferred":false,"id":858542,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Maloy, Stanley","contributorId":299757,"corporation":false,"usgs":false,"family":"Maloy","given":"Stanley","email":"","affiliations":[],"preferred":false,"id":858543,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Rubin, Carol","contributorId":54115,"corporation":false,"usgs":true,"family":"Rubin","given":"Carol","email":"","affiliations":[],"preferred":false,"id":495669,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Bernadette","contributorId":99473,"corporation":false,"usgs":true,"family":"Dunham","given":"Bernadette","email":"","affiliations":[],"preferred":false,"id":495670,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sleeman, Jonathan 0000-0002-9910-6125","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":43467,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","affiliations":[],"preferred":false,"id":495668,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099120,"text":"70099120 - 2014 - Quantity and quality of groundwater discharge in a hypersaline lake environment","interactions":[],"lastModifiedDate":"2017-01-03T14:57:56","indexId":"70099120","displayToPublicDate":"2014-03-20T13:59:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Quantity and quality of groundwater discharge in a hypersaline lake environment","docAbstract":"Geophysical and geochemical surveys were conducted to understand groundwater discharge to Great Salt Lake (GSL) and assess the potential significance of groundwater discharge as a source of selenium (Se). Continuous resistivity profiling (CRP) focusing below the sediment/water interface and fiber-optic distributed temperature sensing (FO-DTS) surveys were conducted along the south shore of GSL. FO-DTS surveys identified persistent cold-water temperature anomalies at 10 separate locations. Seepage measurements were conducted at 17 sites (mean seepage rate = 0.8 cm/day). High resistivity anomalies identified by the CRP survey were likely a mirabilite (Na<sub>2</sub>SO<sub>4</sub>·10H<sub>2</sub>O) salt layer acting as a semi-confining layer for the shallow groundwater below the south shore of the lake. Positive seepage rates measured along the near-shore areas of GSL indicate that a ∼1-m thick oolitic sand overlying the mirabilite layer is likely acting as a shallow, unconfined aquifer. Using the average seepage rate of 0.8 cm/day over an area of 1.6 km<sup>2</sup>, an annual Se mass loading to GSL of 23.5 kg was estimated. Determination of R/Ra values (calculated <sup>3</sup>He/<sup>4</sup>He ratio over the present-day atmospheric <sup>3</sup>He/<sup>4</sup>He ratio) <1 and tritium activities of 1.2–2.0 tritium units in groundwater within and below the mirabilite layer indicates a convergence of regional and local groundwater flow paths discharging into GSL. Groundwater within and below the mirabilite layer obtains its high sulfate salinity from the dissolution of mirabilite. The δ<sup>34</sup>S and δ<sup>18</sup>O isotopic values in samples of dissolved sulfate from the shallow groundwater below the mirabilite are almost identical to the isotopic signature of the mirabilite core material. The saturation index calculated for groundwater samples using PHREEQC indicates the water is at equilibrium with mirabilite. Water samples collected from GSL immediately off shore contained Se concentrations that were 3–4 times higher than other sampling sites >25 km offshore from the study site and may be originating from less saline groundwater seeps mixing with the more saline water from GSL. Additional evidence for mixing with near shore seeps is found in the δD and δ<sup>18</sup>O isotopic values and Br:Cl ratios. Geochemical modeling for a water sample collected in the vicinity of the study area indicates that under chemically reducing conditions, arsenic- (As) bearing minerals could dissolve while Se-bearing minerals will likely precipitate out of solution, possibly explaining why the shallow groundwater below and within the mirabilite salt layer contains low concentrations of Se (0.9–2.3 μg/L).","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2014.02.040","usgsCitation":"Anderson, R., Naftz, D.L., Day-Lewis, F., Henderson, R., Rosenberry, D., Stolp, B., and Jewell, P., 2014, Quantity and quality of groundwater discharge in a hypersaline lake environment: Journal of Hydrology, v. 512, p. 177-194, https://doi.org/10.1016/j.jhydrol.2014.02.040.","productDescription":"18 p.","startPage":"177","endPage":"194","ipdsId":"IP-037434","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":284337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.326622,40.499181 ], [ -112.326622,40.849657 ], [ -111.94931,40.849657 ], [ -111.94931,40.499181 ], [ -112.326622,40.499181 ] ] ] } } ] }","volume":"512","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5351705de4b05569d805a383","contributors":{"authors":[{"text":"Anderson, R.B.","contributorId":48693,"corporation":false,"usgs":true,"family":"Anderson","given":"R.B.","email":"","affiliations":[],"preferred":false,"id":491834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naftz, D. L.","contributorId":40624,"corporation":false,"usgs":true,"family":"Naftz","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, F. D. 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":35773,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"F. D.","affiliations":[],"preferred":false,"id":491831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henderson, R.D.","contributorId":14269,"corporation":false,"usgs":true,"family":"Henderson","given":"R.D.","email":"","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":491830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, D.O. 0000-0003-0681-5641","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":38500,"corporation":false,"usgs":true,"family":"Rosenberry","given":"D.O.","affiliations":[],"preferred":true,"id":491832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stolp, Bernard J. 0000-0003-3803-1497","orcid":"https://orcid.org/0000-0003-3803-1497","contributorId":71942,"corporation":false,"usgs":true,"family":"Stolp","given":"Bernard J.","affiliations":[],"preferred":false,"id":491835,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jewell, P.","contributorId":77843,"corporation":false,"usgs":true,"family":"Jewell","given":"P.","email":"","affiliations":[],"preferred":false,"id":491836,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70160763,"text":"70160763 - 2014 - Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011","interactions":[],"lastModifiedDate":"2015-12-30T11:35:15","indexId":"70160763","displayToPublicDate":"2014-03-20T12:30:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011","docAbstract":"<p>The northern madtom (<i>Noturus stigmosus</i> or NOM) is a small catfish, native to North America. It is globally vulnerable and endangered in Canada, Ontario, and Michigan. In 1994 and 1996, it was found in the St. Clair River and in Lake St. Clair, respectively. However, it had not been found downstream in the Detroit River since 1978. We report catches of 304 NOM from 2003 to 2011 and describe their mud and sand habitats in the deep (10 m), dark, Detroit River. We found adult NOM, including 3 ripe males (90&ndash;107 mm SL) in head waters of the river near Belle Isle in Michigan waters, and both adult and 4 juvenile NOM (21&ndash;30 mm SL) near Peche Island in Ontario waters. From 2009 to 2011, in the river's middle reach, we caught 7 adult NOM for the first time near Fighting Island in Ontario waters, but no NOM in the river's lower reach. Our mark&ndash;recapture results showed that within 6 weeks, 2 adult NOM moved east 2.0 km from Michigan waters near Belle Isle across the deep (10 m) Fleming Channel of the Detroit River to Canadian waters near Peche Island. Analysis of annuli from pectoral spines of 7 dead NOM revealed that they live to at least 6 years of age in the Detroit River. This is the first age data that we could find for a NOM population. Our findings extended our knowledge of habitat, reproductive ecology, age, and distribution of NOM in the Detroit River corridor.</p>","language":"English","publisher":"International Association for Great Lakes Research","publisherLocation":"Toronto","doi":"10.1016/j.jglr.2014.01.005","usgsCitation":"Manny, B.A., Daley, B.A., Boase, J., Horne, A., and Chiotti, J.A., 2014, Occurrence, habitat, and movements of the endangered northern madtom (<i>Noturus stigmosus</i>) in the Detroit River, 2003-2011: Journal of Great Lakes Research, v. 40, no. Supplement 2, p. 118-124, https://doi.org/10.1016/j.jglr.2014.01.005.","productDescription":"7 p.","startPage":"118","endPage":"124","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053878","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":313042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"Detroit River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.89253234863281,\n              42.38898005764399\n            ],\n            [\n              -82.86575317382812,\n              42.32504712815144\n            ],\n            [\n              -82.93853759765625,\n              42.33113878082109\n            ],\n            [\n              -83.04496765136719,\n              42.312354290456355\n            ],\n            [\n              -83.07586669921875,\n              42.291532494305976\n            ],\n            [\n              -83.09715270996092,\n              42.26003279710112\n            ],\n            [\n              -83.09234619140625,\n              42.1684928659947\n            ],\n            [\n              -83.10127258300781,\n              42.094146370922736\n            ],\n            [\n              -83.10333251953125,\n              42.046743179583714\n            ],\n            [\n              -83.1939697265625,\n              42.046233275485214\n            ],\n            [\n              -83.19602966308594,\n              42.11248648904184\n            ],\n            [\n              -83.17131042480469,\n              42.183249931734096\n            ],\n            [\n              -83.15208435058592,\n              42.21580506349499\n            ],\n            [\n              -83.15483093261719,\n              42.23766862211923\n            ],\n            [\n              -83.13491821289062,\n              42.25596717322461\n            ],\n            [\n              -83.08822631835938,\n              42.316416277076605\n            ],\n            [\n              -83.03672790527344,\n              42.33621470741859\n            ],\n            [\n              -82.99003601074219,\n              42.35854391749705\n            ],\n            [\n              -82.93853759765625,\n              42.365139666205934\n            ],\n            [\n              -82.89253234863281,\n              42.38898005764399\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"Supplement 2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56850ed7e4b0a04ef4933a70","contributors":{"authors":[{"text":"Manny, Bruce A. 0000-0002-4074-9329 bmanny@usgs.gov","orcid":"https://orcid.org/0000-0002-4074-9329","contributorId":3699,"corporation":false,"usgs":true,"family":"Manny","given":"Bruce","email":"bmanny@usgs.gov","middleInitial":"A.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daley, Bryon A.","contributorId":150967,"corporation":false,"usgs":false,"family":"Daley","given":"Bryon","email":"","middleInitial":"A.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":583804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boase, James C.","contributorId":72713,"corporation":false,"usgs":true,"family":"Boase","given":"James C.","affiliations":[],"preferred":false,"id":583805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horne, A.","contributorId":150968,"corporation":false,"usgs":false,"family":"Horne","given":"A.","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":583806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chiotti, Justin A.","contributorId":59371,"corporation":false,"usgs":true,"family":"Chiotti","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":583807,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","interactions":[{"subject":{"id":70095112,"text":"pp1798H - 2014 - Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","indexId":"pp1798H","publicationYear":"2014","noYear":false,"chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:25:37.893753","indexId":"pp1798H","displayToPublicDate":"2014-03-19T15:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"H","title":"Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods","docAbstract":"<p>An analysis of recent and historical U.S. Geological Survey streamgage information was used to assess geomorphic changes caused by the 2011 flood, in comparison to selected historical floods, at three streamgage sites along the lower Missouri River—Sioux City, Iowa; Omaha, Nebraska; and Kansas City, Missouri. Channel-width change was not evident at the three streamgage sites following the 2011 flood and likely was inhibited by bank stabilization. Pronounced changes in channel-bed elevation were indicated.</p><p>At Sioux City and Omaha, the geomorphic effects of the 2011 flood were similar in terms of the magnitude of channelbed scour and recovery. At both sites, the 2011 flood caused pronounced scour (about 3 feet) of the channel bed; however, at Omaha, most of the channel-bed scour occurred after the flood had receded. More than 1 year after the flood, the channel bed had only partially recovered (about 1 foot) at both sites. Pronounced scour (about 3 feet at Sioux City and about 1.5 feet at Omaha) also was caused by the 1952 flood, which had a substantially larger peak discharge but was much shorter in duration at both sites. Again, at Omaha, most of the channel- bed scour occurred after the flood had receded. At Sioux City, substantial recovery of the channel bed (about 2.5 feet) was documented 1 year after the 1952 flood. Recovery to the pre-flood elevation was complete by April 1954. The greater recovery following the 1952 flood, compared to the 2011 flood, likely was related to a more abundant sediment supply because the flood predated the completion of most of the main-stem dam, channelization, and bank stabilization projects. At Omaha, following the 1952 flood, the channel bed never fully recovered to its pre-flood elevation.</p><p>The geomorphic effect of the 2011 flood at Kansas City was fill (about 1 foot) on the channel bed followed by relative stability. The 1952 flood, which had a substantially larger peak discharge but was much shorter in duration, caused modest fill (about 0.5 foot) on the channel bed. The 1993 flood, which also had a substantially larger peak discharge but was much shorter in duration, caused pronounced scour of the channel bed (possibly as much as 4 feet). Similar to the floods at Omaha, much of the channel-bed scour at Kansas City occurred after the 1993 flood had receded. More than 1 year after the 1993 flood, following partial recovery (about 1 foot), the channel bed had stabilized, at least temporarily. Following the 1993 flood, the channel bed never fully recovered to its pre-flood elevation.</p><p>For each flood in the post-dam era that resulted in substantial channel-bed scour (Sioux City in 2011, Omaha in 2011, Kansas City in 1993), recovery of the channel bed to its pre-flood elevation had not occurred more than 1 year after the flood (20 years after the 1993 flood at Kansas City). Thus, the possibility exists that channel-bed scour caused by large floods may have a cumulative effect along the lower Missouri River. The persistence of the flood-related decreases in channel-bed elevation may be indicative of the constrained ability of the channel to recover given a limited sediment supply caused by one or more of the following factors: upstream storage of sediment in reservoirs, bank stabilization, commercial sand dredging, depletion of readily available sediment by the flood, and a lack of post-flood sediment contributions from tributaries.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2011 floods of the central United States (Professional Paper 1798)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798H","usgsCitation":"Juracek, K.E., 2014, Geomorphic changes caused by the 2011 flood at selected sites along the lower Missouri River and comparison to historical floods: U.S. Geological Survey Professional Paper 1798, iv, 15 p., https://doi.org/10.3133/pp1798H.","productDescription":"iv, 15 p.","numberOfPages":"24","onlineOnly":"Y","ipdsId":"IP-050647","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284283,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798h/","linkFileType":{"id":5,"text":"html"}},{"id":284284,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798h/pdf/pp1798h.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":284285,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798h.jpg"}],"scale":"10000000","projection":"Clarke 1866 Albers Projection","country":"United States","state":"Colorado, Idaho, Iowa, Kansas, Missouri, Montana, Nebraska, North Dakota, South Dakota, Wyoming","otherGeospatial":"lower Missouri River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -110.0,35.0 ], [ -110.0,50.0 ], [ -90.0,50.0 ], [ -90.0,35.0 ], [ -110.0,35.0 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5e9de4b0b290850fbcf7","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":491078,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70094490,"text":"sir20145030 - 2014 - Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","interactions":[],"lastModifiedDate":"2017-01-17T20:56:35","indexId":"sir20145030","displayToPublicDate":"2014-03-19T14:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5030","title":"Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011","docAbstract":"<p>Reliable estimates of the magnitude and frequency of floods are essential for the design of transportation and water-conveyance structures, flood-insurance studies, and flood-plain management. Such estimates are particularly important in densely populated urban areas. In order to increase the number of streamflow-gaging stations (streamgages) available for analysis, expand the geographical coverage that would allow for application of regional regression equations across State boundaries, and build on a previous flood-frequency investigation of rural U.S Geological Survey streamgages in the Southeast United States, a multistate approach was used to update methods for determining the magnitude and frequency of floods in urban and small, rural streams that are not substantially affected by regulation or tidal fluctuations in Georgia, South Carolina, and North Carolina. The at-site flood-frequency analysis of annual peak-flow data for urban and small, rural streams (through September 30, 2011) included 116 urban streamgages and 32 small, rural streamgages, defined in this report as basins draining less than 1 square mile. The regional regression analysis included annual peak-flow data from an additional 338 rural streamgages previously included in U.S. Geological Survey flood-frequency reports and 2 additional rural streamgages in North Carolina that were not included in the previous Southeast rural flood-frequency investigation for a total of 488 streamgages included in the urban and small, rural regression analysis. The at-site flood-frequency analyses for the urban and small, rural streamgages included the expected moments algorithm, which is a modification of the Bulletin 17B log-Pearson type III method for fitting the statistical distribution to the logarithms of the annual peak flows. Where applicable, the flood-frequency analysis also included low-outlier and historic information. Additionally, the application of a generalized Grubbs-Becks test allowed for the detection of multiple potentially influential low outliers.</p>\n<br/>\n<p>Streamgage basin characteristics were determined using geographical information system techniques. Initial ordinary least squares regression simulations reduced the number of basin characteristics on the basis of such factors as statistical significance, coefficient of determination, Mallow’s Cp statistic, and ease of measurement of the explanatory variable. Application of generalized least squares regression techniques produced final predictive (regression) equations for estimating the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probability flows for urban and small, rural ungaged basins for three hydrologic regions (HR1, Piedmont–Ridge and Valley; HR3, Sand Hills; and HR4, Coastal Plain), which previously had been defined from exploratory regression analysis in the Southeast rural flood-frequency investigation. Because of the limited availability of urban streamgages in the Coastal Plain of Georgia, South Carolina, and North Carolina, additional urban streamgages in Florida and New Jersey were used in the regression analysis for this region. Including the urban streamgages in New Jersey allowed for the expansion of the applicability of the predictive equations in the Coastal Plain from 3.5 to 53.5 square miles. Average standard error of prediction for the predictive equations, which is a measure of the average accuracy of the regression equations when predicting flood estimates for ungaged sites, range from 25.0 percent for the 10-percent annual exceedance probability regression equation for the Piedmont–Ridge and Valley region to 73.3 percent for the 0.2-percent annual exceedance probability regression equation for the Sand Hills region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145030","collaboration":"Prepared in cooperation with the South Carolina Department of Transportation, Office of Materials and Research, and the North Carolina Department of Transportation, Division of Highways (Hydraulics Unit)","usgsCitation":"Feaster, T., Gotvald, A.J., and Weaver, J., 2014, Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011 (First posted March 19, 2014; Revised March 26, 2014, ver. 1.1): U.S. Geological Survey Scientific Investigations Report 2014-5030, Report: vii, 104 p.; Application-of-Methods-Tool, https://doi.org/10.3133/sir20145030.","productDescription":"Report: vii, 104 p.; Application-of-Methods-Tool","numberOfPages":"116","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051253","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":284263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145030.jpg"},{"id":284261,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5030/pdf/sir2014-5030.pdf"},{"id":284260,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5030/"},{"id":284262,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5030/sir2014-5030_applications_tool-ver1.1.xlsx"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.04,29.95 ], [ -86.04,38.01 ], [ -74.69,38.01 ], [ -74.69,29.95 ], [ -86.04,29.95 ] ] ] } } ] }","edition":"First posted March 19, 2014; Revised March 26, 2014, ver. 1.1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517055e4b05569d805a32a","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":490633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490634,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weaver, J. Curtis","contributorId":42260,"corporation":false,"usgs":true,"family":"Weaver","given":"J. Curtis","affiliations":[],"preferred":false,"id":490635,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074734,"text":"ofr20141017 - 2014 - Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples","interactions":[],"lastModifiedDate":"2014-03-19T14:06:20","indexId":"ofr20141017","displayToPublicDate":"2014-03-19T13:58:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1017","title":"Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples","docAbstract":"Laboratory experiments were conducted to assess if exposure to atmospheric African dust stimulates or inhibits the growth of four putative bacterial coral pathogens. Atmospheric dust was collected from a dust-source region (Mali, West Africa) and from Saharan Air Layer masses over downwind sites in the Caribbean [Trinidad and Tobago and St. Croix, U.S. Virgin Islands (USVI)]. Extracts of dust samples were used to dose laboratory-grown cultures of four putative coral pathogens: <i>Aurantimonas coralicida</i> (white plague type II), <i>Serratia marcescens</i> (white pox), <i>Vibrio coralliilyticus</i>, and <i>V. shiloi</i> (bacteria-induced bleaching). Growth of <i>A. coralicida</i> and <i>V. shiloi</i> was slightly stimulated by dust extracts from Mali and USVI, respectively, but unaffected by extracts from the other dust sources. Lag time to the start of log-growth phase was significantly shortened for <i>A. coralicida</i> when dosed with dust extracts from Mali and USVI. Growth of <i>S. marcescens</i> and <i>V. coralliilyticus</i> was neither stimulated nor inhibited by any of the dust extracts. This study demonstrates that constituents from atmospheric dust can alter growth of recognized coral disease pathogens under laboratory conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141017","usgsCitation":"Lisle, J.T., Garrison, V.H., and Gray, M.A., 2014, Evaluation of coral pathogen growth rates after exposure to atmospheric African dust samples: U.S. Geological Survey Open-File Report 2014-1017, vi, 12 p., https://doi.org/10.3133/ofr20141017.","productDescription":"vi, 12 p.","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-051527","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":284253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141017.jpg"},{"id":284251,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1017/"},{"id":284252,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1017/pdf/of2014-1017.pdf"}],"country":"Mali;Trinidad And Tobago;U.S. Virgin Islands","otherGeospatial":"Caribbean Sea","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -65.0855,10.04 ], [ -65.0855,25.0 ], [ 4.27,25.0 ], [ 4.27,10.04 ], [ -65.0855,10.04 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5858e4b0b290850f809a","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garrison, Virginia H. ginger_garrison@usgs.gov","contributorId":2386,"corporation":false,"usgs":true,"family":"Garrison","given":"Virginia","email":"ginger_garrison@usgs.gov","middleInitial":"H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":489762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Michael A. 0000-0002-3856-5037 mgray@usgs.gov","orcid":"https://orcid.org/0000-0002-3856-5037","contributorId":3532,"corporation":false,"usgs":true,"family":"Gray","given":"Michael","email":"mgray@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":489764,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70094629,"text":"ds826 - 2014 - Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology","interactions":[],"lastModifiedDate":"2014-03-19T12:54:35","indexId":"ds826","displayToPublicDate":"2014-03-19T12:47:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"826","title":"Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology","docAbstract":"Topographic data at selected areas within the Alabama River flood plain near Montgomery, Alabama, were collected using a truck-mounted mobile terrestrial light detection and ranging system. These data were collected for inclusion in a flood inundation model developed by the National Weather Service in Birmingham, Alabama. Data are presented as ArcGIS point shapefiles with the extension .shp.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds826","collaboration":"Prepared in cooperation with the National Weather Service Forecast Office, Birmingham, Alabama","usgsCitation":"Kimbrow, D., 2014, Topographic data of selected areas along the Alabama River near Montgomery, Alabama, collected using mobile terrestrial light detection and ranging (T-LiDAR) technology: U.S. Geological Survey Data Series 826, HTML Document; Downloads Directory, https://doi.org/10.3133/ds826.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051220","costCenters":[{"id":105,"text":"Alabama Water Science Center","active":true,"usgs":true}],"links":[{"id":284234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds826.jpg"},{"id":284233,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/0826/Downloads"},{"id":284231,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0826/"},{"id":284235,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0826/title_page.html"}],"country":"United States","state":"Alabama","city":"Montgomery","otherGeospatial":"Alabama River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.419,32.249 ], [ -86.419,32.437 ], [ -86.072,32.437 ], [ -86.072,32.249 ], [ -86.419,32.249 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7929e4b0b2908510ca51","contributors":{"authors":[{"text":"Kimbrow, D.R.","contributorId":25702,"corporation":false,"usgs":true,"family":"Kimbrow","given":"D.R.","affiliations":[],"preferred":false,"id":490673,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70112282,"text":"70112282 - 2014 - Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island","interactions":[],"lastModifiedDate":"2014-06-12T12:51:03","indexId":"70112282","displayToPublicDate":"2014-03-19T12:45:22","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island","docAbstract":"Bighorn sheep (<i>Ovis canadensis</i>) were not known to live on Tiburón Island, the largest island in the Gulf of California and Mexico, prior to the surprisingly successful introduction of 20 individuals as a conservation measure in 1975. Today, a stable island population of ~500 sheep supports limited big game hunting and restocking of depleted areas on the Mexican mainland. We discovered fossil dung morphologically similar to that of bighorn sheep in a dung mat deposit from Mojet Cave, in the mountains of Tiburón Island. To determine the origin of this cave deposit we compared pellet shape to fecal pellets of other large mammals, and extracted DNA to sequence mitochondrial DNA fragments at the 12S ribosomal RNA and control regions. The fossil dung was <sup>14</sup>C-dated to 1476–1632 calendar years before present and was confirmed as bighorn sheep by morphological and ancient DNA (aDNA) analysis. 12S sequences closely or exactly matched known bighorn sheep sequences; control region sequences exactly matched a haplotype described in desert bighorn sheep populations in southwest Arizona and southern California and showed subtle differentiation from the extant Tiburón population. Native desert bighorn sheep previously colonized this land-bridge island, most likely during the Pleistocene, when lower sea levels connected Tiburón to the mainland. They were extirpated sometime in the last ~1500 years, probably due to inherent dynamics of isolated populations, prolonged drought, and (or) human overkill. The reintroduced population is vulnerable to similar extinction risks. The discovery presented here refutes conventional wisdom that bighorn sheep are not native to Tiburón Island, and establishes its recent introduction as an example of unintentional rewilding, defined here as the introduction of a species without knowledge that it was once native and has since gone locally extinct.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0091358","usgsCitation":"Wilder, B.T., Betancourt, J.L., Epps, C., Crowhurst, R., Mead, J.I., and Ezcurra, E., 2014, Local extinction and unintentional rewilding of bighorn sheep (<i>Ovis canadensis</i>) on a desert island: PLoS ONE, v. 9, no. 3, 9 p., https://doi.org/10.1371/journal.pone.0091358.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"Y","ipdsId":"IP-054087","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":473101,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091358","text":"Publisher Index Page"},{"id":288492,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288491,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0091358"}],"country":"Mexico","otherGeospatial":"Gulf Of California;Tibur�n Island","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -112.799,28.6322 ], [ -112.799,29.2971 ], [ -112.0513,29.2971 ], [ -112.0513,28.6322 ], [ -112.799,28.6322 ] ] ] } } ] }","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-19","publicationStatus":"PW","scienceBaseUri":"539acc09e4b0e83db6d08f87","contributors":{"authors":[{"text":"Wilder, Benjamin T.","contributorId":40518,"corporation":false,"usgs":true,"family":"Wilder","given":"Benjamin","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":494625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":494623,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epps, Clinton W.","contributorId":10917,"corporation":false,"usgs":true,"family":"Epps","given":"Clinton W.","affiliations":[],"preferred":false,"id":494624,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crowhurst, Rachel S.","contributorId":51010,"corporation":false,"usgs":true,"family":"Crowhurst","given":"Rachel S.","affiliations":[],"preferred":false,"id":494626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mead, Jim I.","contributorId":87067,"corporation":false,"usgs":true,"family":"Mead","given":"Jim","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":494628,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ezcurra, Exequiel","contributorId":52893,"corporation":false,"usgs":true,"family":"Ezcurra","given":"Exequiel","affiliations":[],"preferred":false,"id":494627,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70093735,"text":"sir20145027 - 2014 - Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08","interactions":[],"lastModifiedDate":"2014-03-19T11:55:03","indexId":"sir20145027","displayToPublicDate":"2014-03-19T11:26:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5027","title":"Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08","docAbstract":"<p>Quality-control (QC) samples were collected from 2002 through 2008 by the U.S. Geological Survey, in cooperation with the U.S. Department of Energy, to ensure data robustness by documenting the variability and bias of water-quality data collected at surface-water and groundwater sites at and near the Idaho National Laboratory. QC samples consisted of 139 replicates and 22 blanks (approximately 11 percent of the number of environmental samples collected). Measurements from replicates were used to estimate variability (from field and laboratory procedures and sample heterogeneity), as reproducibility and reliability, of water-quality measurements of radiochemical, inorganic, and organic constituents. Measurements from blanks were used to estimate the potential contamination bias of selected radiochemical and inorganic constituents in water-quality samples, with an emphasis on identifying any cross contamination of samples collected with portable sampling equipment.</p>\n\n<br>\n\n<p>The reproducibility of water-quality measurements was estimated with calculations of normalized absolute difference for radiochemical constituents and relative standard deviation (RSD) for inorganic and organic constituents. The reliability of water-quality measurements was estimated with pooled RSDs for all constituents. Reproducibility was acceptable for all constituents except dissolved aluminum and total organic carbon. Pooled RSDs were equal to or less than 14 percent for all constituents except for total organic carbon, which had pooled RSDs of 70 percent for the low concentration range and 4.4 percent for the high concentration range.</p>\n\n<br>\n\n<p>Source-solution and equipment blanks were measured for concentrations of tritium, strontium-90, cesium-137, sodium, chloride, sulfate, and dissolved chromium. Field blanks were measured for the concentration of iodide. No detectable concentrations were measured from the blanks except for strontium-90 in one source solution and one equipment blank collected in September and October 2004, respectively. The detectable concentrations of strontium-90 in the blanks probably were from a small source of strontium-90 contamination or large measurement variability, or both.</p>\n\n<br>\n\n<p>Order statistics and the binomial probability distribution were used to estimate the magnitude and extent of any potential contamination bias of tritium, strontium-90, cesium-137, sodium, chloride, sulfate, dissolved chromium, and iodide in water-quality samples. These statistical methods indicated that, with (1) 87 percent confidence, contamination bias of cesium-137 and sodium in 60 percent of water-quality samples was less than the minimum detectable concentration or reporting level; (2) 92‒94 percent confidence, contamination bias of tritium, strontium-90, chloride, sulfate, and dissolved chromium in 70 percent of water-quality samples was less than the minimum detectable concentration or reporting level; and (3) 75 percent confidence, contamination bias of iodide in 50 percent of water-quality samples was less than the reporting level for iodide. These results support the conclusion that contamination bias of water-quality samples from sample processing, storage, shipping, and analysis was insignificant and that cross-contamination of perched groundwater samples collected with bailers during 2002–08 was insignificant.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145027","collaboration":"DOE/ID-22228; Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Rattray, G.W., 2014, Evaluation of quality-control data collected by the U.S. Geological Survey for routine water-quality activities at the Idaho National Laboratory and vicinity, southeastern Idaho, 2002-08: U.S. Geological Survey Scientific Investigations Report 2014-5027, vi, 66 p., https://doi.org/10.3133/sir20145027.","productDescription":"vi, 66 p.","onlineOnly":"Y","ipdsId":"IP-049768","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":284212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145027.jpg"},{"id":284211,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5027/pdf/sir20145027.pdf"},{"id":284210,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5027/"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory And Vicinity","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.75,43.25 ], [ -113.75,44.25 ], [ -112.25,44.25 ], [ -112.25,43.25 ], [ -113.75,43.25 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5870e4b0b290850f8176","contributors":{"authors":[{"text":"Rattray, Gordon W. 0000-0002-1690-3218 grattray@usgs.gov","orcid":"https://orcid.org/0000-0002-1690-3218","contributorId":2521,"corporation":false,"usgs":true,"family":"Rattray","given":"Gordon","email":"grattray@usgs.gov","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490184,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","interactions":[{"subject":{"id":70073852,"text":"pp1798D - 2014 - Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","indexId":"pp1798D","publicationYear":"2014","noYear":false,"chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods"},"predicate":"IS_PART_OF","object":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"id":1}],"isPartOf":{"id":70047427,"text":"pp1798 - 2013 - 2011 floods of the central United States","indexId":"pp1798","publicationYear":"2013","noYear":false,"title":"2011 floods of the central United States"},"lastModifiedDate":"2024-10-18T13:20:30.077888","indexId":"pp1798D","displayToPublicDate":"2014-03-19T10:08:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1798","chapter":"D","title":"Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods","docAbstract":"<p>During 2011, excess precipitation resulted in widespread flooding in the Central United States with 33 fatalities and approximately $4.2 billion in damages reported in the Red River of the North, Souris, and Mississippi River Basins. At different times from late February 2011 through September 2011, various rivers in these basins had major flooding, with some locations having multiple rounds of flooding. This report provides broadscale characterizations of annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for selected streamgages in the Central United States in areas affected by 2011 flooding.</p><p>Annual exceedance probabilities (AEPs) were analyzed for 321 streamgages for annual peak streamflow and for 211 streamgages for annual runoff volume. Some of the most exceptional flooding was for the Souris River Basin, where of 11 streamgages considered for AEP analysis of peak streamflow, flood peaks in 2011 exceeded the next largest peak of record by at least double for 6 of the longest-term streamgages (75 to 108 years of peak-flow record). AEPs for these six streamgages were less than 1 percent. AEPs for 2011 runoff volumes were less than 1 percent for all seven Souris River streamgages considered for AEP analysis. Magnitudes of 2011 runoff volumes exceeded previous maxima by double or more for 5 of the 7 streamgages (record lengths 52 to 108 years).</p><p>For the Red River of the North Basin, AEPs for 2011 runoff volumes were exceptional, with two streamgages having AEPs less than 0.2 percent, five streamgages in the range of 0.2 to 1 percent, and four streamgages in the range of 1 to 2 percent. Magnitudes of 2011 runoff volumes also were exceptional, with all 11 of the aforementioned streamgages eclipsing previous long-term (62 to 110 years) annual maxima by about one-third or more.</p><p>AEPs for peak streamflows in the upper Mississippi River Basin were not exceptional, with no AEPs less than 1 percent. AEPs for annual runoff volumes indicated less frequent recurrence, with 11 streamgages having AEPs of less than 1 percent. The 2011 runoff volume for streamgage 05331000 (at Saint Paul, Minnesota) exceeded the previous record (112 years of record) by about 24 percent.</p><p>An especially newsworthy feature was prolonged flooding along the main stem of the Missouri River downstream from Garrison Dam (located upstream from Bismarck, North Dakota) and extending downstream throughout the length of the Missouri River. The 2011 runoff volume for streamgage 06342500 (at Bismarck) exceeded the previous (1975) maximum by about 50 percent, with an associated AEP in the range of 0.2 to 1 percent.</p><p>In the Ohio River Basin, peak-streamflow AEPs were less than 2 percent for only four streamgages. Runoff-volume AEPs were less than 2 percent for only three streamgages. Along the lower Mississippi River, the largest streamflow peak in 91 years was recorded for streamgage 07289000 (at Vicksburg, Mississippi), with an associated AEP of 0.8 percent.</p><p>Trends in peak streamflow were analyzed for 98 streamgages, with 67 streamgages having upward trends, 31 with downward trends, and zero with no trend. Trends in annual runoff volume were analyzed for 182 streamgages, with 145 streamgages having upward trends, 36 with downward trends, and 1 with no trend. The trend analyses used descriptive methods that did not include measures of statistical significance. A dichotomous spatial distribution in trends was apparent for both peak streamflow and annual runoff volume, with a small number of streamgages in the northwestern part of the study area having downward trends and most streamgages in the eastern part of the study area having upward trends.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1798D","usgsCitation":"Driscoll, D.G., Southard, R.E., Koenig, T.A., Bender, D.A., and Holmes, R.R., 2014, Annual exceedance probabilities and trends for peak streamflows and annual runoff volumes for the Central United States during the 2011 floods: U.S. Geological Survey Professional Paper 1798, iv, 89 p., https://doi.org/10.3133/pp1798D.","productDescription":"iv, 89 p.","numberOfPages":"98","onlineOnly":"Y","ipdsId":"IP-049178","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284205,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1798d/pdf/pp1798d.pdf"},{"id":284204,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/1798d/"},{"id":284206,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1798d.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4d4ee4b0b290850f1776","contributors":{"authors":[{"text":"Driscoll, Daniel G. dgdrisco@usgs.gov","contributorId":1558,"corporation":false,"usgs":true,"family":"Driscoll","given":"Daniel","email":"dgdrisco@usgs.gov","middleInitial":"G.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489140,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Southard, Rodney E. 0000-0001-8024-9698 southard@usgs.gov","orcid":"https://orcid.org/0000-0001-8024-9698","contributorId":3880,"corporation":false,"usgs":true,"family":"Southard","given":"Rodney","email":"southard@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":489142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koenig, Todd A. 0000-0001-5635-0219 tkoenig@usgs.gov","orcid":"https://orcid.org/0000-0001-5635-0219","contributorId":4463,"corporation":false,"usgs":true,"family":"Koenig","given":"Todd","email":"tkoenig@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":489143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bender, David A. 0000-0002-1269-0948 dabender@usgs.gov","orcid":"https://orcid.org/0000-0002-1269-0948","contributorId":985,"corporation":false,"usgs":true,"family":"Bender","given":"David","email":"dabender@usgs.gov","middleInitial":"A.","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":489139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":489141,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70095731,"text":"ofr20141044 - 2014 - Progress report: baseline monitoring of indicator species (butterflies) at tallgrass prairie restorations","interactions":[],"lastModifiedDate":"2014-03-19T11:39:33","indexId":"ofr20141044","displayToPublicDate":"2014-03-19T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1044","title":"Progress report: baseline monitoring of indicator species (butterflies) at tallgrass prairie restorations","docAbstract":"This project provides baseline data of butterfly populations at two coastal prairie restoration sites in Louisiana, the Duralde Unit of Lacassine National Wildlife Refuge (hereafter, the Duralde site) and the Cajun Prairie Restoration Project in Eunice (hereafter, the Eunice site). In all, four distinct habitat types representing different planting methods were sampled. These data will be used to assess biodiversity and health of native grasslands and also provide a basis for adaptive management.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141044","usgsCitation":"Allain, L., and Vidrine, M., 2014, Progress report: baseline monitoring of indicator species (butterflies) at tallgrass prairie restorations: U.S. Geological Survey Open-File Report 2014-1044, HTML Document, https://doi.org/10.3133/ofr20141044.","productDescription":"HTML Document","ipdsId":"IP-053391","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141044.PNG"},{"id":284196,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1044/"},{"id":284197,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1044/ofr2014-1044.html"}],"country":"United States","state":"Louisiana","otherGeospatial":"Cajun Prairie Restoration Project;Lacassine National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.963,29.912 ], [ -92.963,30.506 ], [ -92.384,30.506 ], [ -92.384,29.912 ], [ -92.963,29.912 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e5de4b0b29085105bc0","contributors":{"authors":[{"text":"Allain, Larry 0000-0002-7717-9761","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":63108,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","affiliations":[],"preferred":false,"id":491412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vidrine, Malcolm","contributorId":79015,"corporation":false,"usgs":true,"family":"Vidrine","given":"Malcolm","email":"","affiliations":[],"preferred":false,"id":491413,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70133181,"text":"70133181 - 2014 - Comparative population structure of cavity-nesting sea ducks","interactions":[],"lastModifiedDate":"2018-07-14T13:45:18","indexId":"70133181","displayToPublicDate":"2014-03-19T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Comparative population structure of cavity-nesting sea ducks","docAbstract":"<p><span>A growing collection of mtDNA genetic information from waterfowl species across North America suggests that larger-bodied cavity-nesting species exhibit greater levels of population differentiation than smaller-bodied congeners. Although little is known about nest-cavity availability for these species, one hypothesis to explain differences in population structure is reduced dispersal tendency of larger-bodied cavity-nesting species due to limited abundance of large cavities. To investigate this hypothesis, we examined population structure of three cavity-nesting waterfowl species distributed across much of North America: Barrow's Goldeneye (</span><i><i>Bucephala islandica</i></i><span>), Common Goldeneye (</span><i><i>B. clangula</i></i><span>), and Bufflehead (</span><i><i>B. albeola</i></i><span>). We compared patterns of population structure using both variation in mtDNA control-region sequences and band-recovery data for the same species and geographic regions. Results were highly congruent between data types, showing structured population patterns for Barrow's and Common Goldeneye but not for Bufflehead. Consistent with our prediction, the smallest cavity-nesting species, the Bufflehead, exhibited the lowest level of population differentiation due to increased dispersal and gene flow. Results provide evidence for discrete Old and New World populations of Common Goldeneye and for differentiation of regional groups of both goldeneye species in Alaska, the Pacific Northwest, and the eastern coast of North America. Results presented here will aid management objectives that require an understanding of population delineation and migratory connectivity between breeding and wintering areas. Comparative studies such as this one highlight factors that may drive patterns of genetic diversity and population trends.</span></p>","language":"English","publisher":"American Ornithological Society","doi":"10.1642/AUK-13-071.1","usgsCitation":"Pearce, J.M., Eadie, J.M., Savard, J.L., Christensen, T.K., Berdeen, J., Taylor, E., Boyd, S., and Einarsson, A., 2014, Comparative population structure of cavity-nesting sea ducks: The Auk, v. 131, no. 2, p. 195-207, https://doi.org/10.1642/AUK-13-071.1.","productDescription":"13 p.","startPage":"195","endPage":"207","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049100","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":473102,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1642/auk-13-071.1","text":"Publisher Index Page"},{"id":296071,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d630e4b04d4b7dbd6594","contributors":{"authors":[{"text":"Pearce, John M. 0000-0002-8503-5485 jpearce@usgs.gov","orcid":"https://orcid.org/0000-0002-8503-5485","contributorId":181766,"corporation":false,"usgs":true,"family":"Pearce","given":"John","email":"jpearce@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":524849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eadie, John M.","contributorId":34067,"corporation":false,"usgs":false,"family":"Eadie","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":6961,"text":"Department of Wildlife, Fish & Conservation Biology, University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":525141,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":525142,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Thomas K.","contributorId":69381,"corporation":false,"usgs":false,"family":"Christensen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[{"id":6963,"text":"Department of Bioscience, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":525143,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berdeen, James","contributorId":54319,"corporation":false,"usgs":false,"family":"Berdeen","given":"James","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":525144,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taylor, Eric J.","contributorId":41966,"corporation":false,"usgs":false,"family":"Taylor","given":"Eric J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":525145,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, Sean","contributorId":76672,"corporation":false,"usgs":false,"family":"Boyd","given":"Sean","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":525146,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Einarsson, Arni","contributorId":127434,"corporation":false,"usgs":false,"family":"Einarsson","given":"Arni","email":"","affiliations":[{"id":6965,"text":"Mývatn Research Station and Department of Life and Environmental Sciences, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":525147,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70094151,"text":"sir20145028 - 2014 - Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","interactions":[],"lastModifiedDate":"2014-04-07T09:53:30","indexId":"sir20145028","displayToPublicDate":"2014-03-18T14:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5028","title":"Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Army Corps of Engineers (USACE) and the Indiana Office of Community and Rural Affairs (OCRA), conducted a study of the upper Lost River watershed in Orange County, Indiana, from 2012 to 2013. Streamflow and groundwater data were collected at 10 data-collection sites from at least October 2012 until April 2013, and a preliminary Water Availability Tool for Environmental Resources (WATER)-TOPMODEL based hydrologic model was created to increase understanding of the complex, karstic hydraulic and hydrologic system present in the upper Lost River watershed, Orange County, Ind. Statistical assessment of the optimized hydrologic-model results were promising and returned correlation coefficients for simulated and measured stream discharge of 0.58 and 0.60 and Nash-Sutcliffe efficiency values of 0.56 and 0.39 for USGS streamflow-gaging stations 03373530 (Lost River near Leipsic, Ind.), and 03373560 (Lost River near Prospect, Ind.), respectively. Additional information to refine drainage divides is needed before applying the model to the entire karst region of south-central Indiana. Surface-water and groundwater data were used to tentatively quantify the complex hydrologic processes taking place within the watershed and provide increased understanding for future modeling and management applications. The data indicate that during wet-weather periods and after certain intense storms, the hydraulic capacity of swallow holes and subsurface conduits is overwhelmed with excess water that flows onto the surface in dry-bed relic stream channels and karst paleovalleys. Analysis of discharge data collected at USGS streamflow-gaging station 03373550 (Orangeville Rise, at Orangeville, Ind.), and other ancillary data-collection sites in the watershed, indicate that a bounding condition is likely present, and drainage from the underlying karst conduit system is potentially limited to near 200 cubic feet per second. This information will direct future studies and assist managers in understanding when the subsurface conduits may become overwhelmed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145028","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Indiana Office of Community and Rural Affairs (OCRA)","usgsCitation":"Bayless, E.R., Cinotto, P.J., Ulery, R.L., Taylor, C.J., McCombs, G.K., Kim, M.H., and Nelson, H.L., 2014, Surface-water and karst groundwater interactions and streamflow-response simulations of the karst-influenced upper Lost River watershed, Orange County, Indiana (Originally posted March 18, 2014; Revised April 7, 2014): U.S. Geological Survey Scientific Investigations Report 2014-5028, viii, 39 p., https://doi.org/10.3133/sir20145028.","productDescription":"viii, 39 p.","numberOfPages":"52","onlineOnly":"Y","ipdsId":"IP-040755","costCenters":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"links":[{"id":284186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145028.jpg"},{"id":284185,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5028/pdf/sir2014-5028.pdf"},{"id":284184,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5028/"}],"scale":"100000","country":"United States","state":"Indiana","county":"Orange County","otherGeospatial":"Upper Lost River Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.66,38.416 ], [ -86.66,38.766 ], [ -86.166,38.766 ], [ -86.166,38.416 ], [ -86.66,38.416 ] ] ] } } ] }","edition":"Originally posted March 18, 2014; Revised April 7, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517065e4b05569d805a3d3","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490455,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cinotto, Peter J. pcinotto@usgs.gov","contributorId":451,"corporation":false,"usgs":true,"family":"Cinotto","given":"Peter","email":"pcinotto@usgs.gov","middleInitial":"J.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ulery, Randy L. rlulery@usgs.gov","contributorId":4679,"corporation":false,"usgs":true,"family":"Ulery","given":"Randy","email":"rlulery@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":490453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Charles J.","contributorId":93100,"corporation":false,"usgs":true,"family":"Taylor","given":"Charles","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":490456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCombs, Gregory K. gmccombs@usgs.gov","contributorId":5429,"corporation":false,"usgs":true,"family":"McCombs","given":"Gregory","email":"gmccombs@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":490454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Hugh L. hlnelson@usgs.gov","contributorId":4158,"corporation":false,"usgs":true,"family":"Nelson","given":"Hugh","email":"hlnelson@usgs.gov","middleInitial":"L.","affiliations":[{"id":354,"text":"Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":490452,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098419,"text":"70098419 - 2014 - How mangrove forests adjust to rising sea level","interactions":[],"lastModifiedDate":"2014-03-18T13:33:59","indexId":"70098419","displayToPublicDate":"2014-03-18T13:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"title":"How mangrove forests adjust to rising sea level","docAbstract":"Mangroves are among the most well described and widely studied wetland communities in the world. The greatest threats to mangrove persistence are deforestation and other anthropogenic disturbances that can compromise habitat stability and resilience to sea-level rise. To persist, mangrove ecosystems must adjust to rising sea level by building vertically or become submerged. Mangroves may directly or indirectly influence soil accretion processes through the production and accumulation of organic matter, as well as the trapping and retention of mineral sediment. In this review, we provide a general overview of research on mangrove elevation dynamics, emphasizing the role of the vegetation in maintaining soil surface elevations (i.e. position of the soil surface in the vertical plane). We summarize the primary ways in which mangroves may influence sediment accretion and vertical land development, for example, through root contributions to soil volume and upward expansion of the soil surface. We also examine how hydrological, geomorphological and climatic processes may interact with plant processes to influence mangrove capacity to keep pace with rising sea level. We draw on a variety of studies to describe the important, and often under-appreciated, role that plants play in shaping the trajectory of an ecosystem undergoing change.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"New Phytologist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/nph.12605","usgsCitation":"Krauss, K.W., McKee, K.L., Lovelock, C.E., Cahoon, D.R., Saintilan, N., Reef, R., and Chen, L., 2014, How mangrove forests adjust to rising sea level: New Phytologist, v. 202, no. 1, p. 19-34, https://doi.org/10.1111/nph.12605.","productDescription":"16 p.","startPage":"19","endPage":"34","numberOfPages":"16","ipdsId":"IP-049944","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284147,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/nph.12605"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"202","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-19","publicationStatus":"PW","scienceBaseUri":"53cd60c5e4b0b290850fd239","contributors":{"authors":[{"text":"Krauss, Ken W. 0000-0003-2195-0729 kraussk@usgs.gov","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":2017,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","email":"kraussk@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":491702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Karen L. 0000-0001-7042-670X","orcid":"https://orcid.org/0000-0001-7042-670X","contributorId":8927,"corporation":false,"usgs":true,"family":"McKee","given":"Karen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelock, Catherine E.","contributorId":64787,"corporation":false,"usgs":true,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cahoon, Donald R. 0000-0002-2591-5667 dcahoon@usgs.gov","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":3791,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","email":"dcahoon@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":491703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saintilan, Neil","contributorId":31670,"corporation":false,"usgs":true,"family":"Saintilan","given":"Neil","email":"","affiliations":[],"preferred":false,"id":491705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reef, Ruth","contributorId":44826,"corporation":false,"usgs":true,"family":"Reef","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":491706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Luzhen","contributorId":71474,"corporation":false,"usgs":true,"family":"Chen","given":"Luzhen","affiliations":[],"preferred":false,"id":491708,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70098422,"text":"70098422 - 2014 - Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","interactions":[],"lastModifiedDate":"2018-09-04T16:34:57","indexId":"70098422","displayToPublicDate":"2014-03-18T13:18:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?","docAbstract":"Silver nanoparticles (AgNPs) are widely used in many applications and likely released into the aquatic environment. There is increasing evidence that Ag is efficiently delivered to aquatic organisms from AgNPs after aqueous and dietary exposures. Accumulation of AgNPs through the diet can damage digestion and adversely affect growth. It is well recognized that aspects of water quality, such as hardness, affect the bioavailability and toxicity of waterborne Ag. However, the influence of water chemistry on the bioavailability and toxicity of dietborne AgNPs to aquatic invertebrates is largely unknown. Here we characterize for the first time the effects of water hardness and humic acids on the bioaccumulation and toxicity of AgNPs coated with polyvinyl pyrrolidone (PVP) to the freshwater snail <i>Lymnaea stagnalis</i> after dietary exposures. Our results indicate that bioaccumulation and toxicity of Ag from PVP-AgNPs ingested with food are not affected by water hardness and by humic acids, although both could affect interactions with the biological membrane and trigger nanoparticle transformations. Snails efficiently assimilated Ag from the PVP-AgNPs mixed with diatoms (Ag assimilation efficiencies ranged from 82 to 93%). Rate constants of Ag uptake from food were similar across the entire range of water hardness and humic acid concentrations. These results suggest that correcting regulations for water quality could be irrelevant and ineffective where dietary exposure is important.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Pollution","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2014.02.010","usgsCitation":"Lopez-Serrano Oliver, A., Croteau, M., Stoiber, T., Tejamaya, M., Römer, I., Lead, J.R., and Luoma, S.N., 2014, Does water chemistry affect the dietary uptake and toxicity of silver nanoparticles by the freshwater snail <i>Lymnaea stagnalis</i>?: Environmental Pollution, v. 189, p. 87-91, https://doi.org/10.1016/j.envpol.2014.02.010.","productDescription":"5 p.","startPage":"87","endPage":"91","numberOfPages":"5","ipdsId":"IP-054217","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":284171,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284170,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.envpol.2014.02.010"}],"volume":"189","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517034e4b05569d805a1cd","contributors":{"authors":[{"text":"Lopez-Serrano Oliver, Ana","contributorId":85083,"corporation":false,"usgs":true,"family":"Lopez-Serrano Oliver","given":"Ana","email":"","affiliations":[],"preferred":false,"id":491714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie-Noële","contributorId":22863,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie-Noële","affiliations":[],"preferred":false,"id":491712,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoiber, Tasha L.","contributorId":91402,"corporation":false,"usgs":false,"family":"Stoiber","given":"Tasha L.","affiliations":[],"preferred":false,"id":491715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tejamaya, Mila","contributorId":93375,"corporation":false,"usgs":false,"family":"Tejamaya","given":"Mila","email":"","affiliations":[],"preferred":false,"id":491716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Römer, Isabella","contributorId":17133,"corporation":false,"usgs":true,"family":"Römer","given":"Isabella","affiliations":[],"preferred":false,"id":491711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lead, Jamie R.","contributorId":41331,"corporation":false,"usgs":false,"family":"Lead","given":"Jamie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":491713,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":491710,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70095456,"text":"fs20143019 - 2014 - Future scenarios of impacts to ecosystem services on California rangelands","interactions":[],"lastModifiedDate":"2014-03-18T11:36:12","indexId":"fs20143019","displayToPublicDate":"2014-03-18T11:29:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3019","title":"Future scenarios of impacts to ecosystem services on California rangelands","docAbstract":"The 18 million acres of rangelands in the Central Valley of California provide multiple benefits or “ecosystem services” to people—including wildlife habitat, water supply, open space, recreation, and cultural resources. Most of this land is privately owned and managed for livestock production. These rangelands are vulnerable to land-use conversion and climate change. To help resource managers assess the impacts of land-use change and climate change, U.S. Geological Survey scientists and their cooperators developed scenarios to quantify and map changes to three main rangeland ecosystem services—wildlife habitat, water supply, and carbon sequestration. Project results will help prioritize strategies to conserve these rangelands and the ecosystem services that they provide.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143019","issn":"2327-6932","usgsCitation":"Byrd, K., Alvarez, P., Flint, L., and Flint, A., 2014, Future scenarios of impacts to ecosystem services on California rangelands: U.S. Geological Survey Fact Sheet 2014-3019, 2 p., https://doi.org/10.3133/fs20143019.","productDescription":"2 p.","numberOfPages":"2","ipdsId":"IP-053645","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":284160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143019.jpg"},{"id":284159,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3019/pdf/fs2014-3019.pdf"},{"id":284158,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3019/"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.42,34.96 ], [ -123.42,41.06 ], [ -116.61,41.06 ], [ -116.61,34.96 ], [ -123.42,34.96 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd5a63e4b0b290850f9516","contributors":{"authors":[{"text":"Byrd, Kristin","contributorId":82053,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","affiliations":[],"preferred":false,"id":491207,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alvarez, Pelayo","contributorId":89438,"corporation":false,"usgs":true,"family":"Alvarez","given":"Pelayo","affiliations":[],"preferred":false,"id":491208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":97753,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","affiliations":[],"preferred":false,"id":491209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Alan","contributorId":58503,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"","affiliations":[],"preferred":false,"id":491206,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70093992,"text":"sim3290 - 2014 - Vegetation types in coastal Louisiana in 2013","interactions":[],"lastModifiedDate":"2014-03-18T08:45:51","indexId":"sim3290","displayToPublicDate":"2014-03-18T08:14:37","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3290","title":"Vegetation types in coastal Louisiana in 2013","docAbstract":"During the summer of 2013, the U.S. Geological Survey, Louisiana State University, University of Louisiana at Lafayette, and the Louisiana Department of Wildlife and Fisheries Coastal and Nongame Resources Division jointly completed an aerial survey to collect data on 2013 vegetation types in coastal Louisiana. Plant species were listed and their abundance classified. On the basis of species composition and abundance, each marsh sampling station was assigned a marsh type: fresh, intermediate, brackish, or saline (saltwater) marsh. The current map presents the data collected in this effort.","language":"English","publisher":"U.S. Geologcal Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3290","usgsCitation":"Sasser, C.E., Visser, J.M., Mouton, E., Linscombe, J., and Hartley, S.B., 2014, Vegetation types in coastal Louisiana in 2013: U.S. Geological Survey Scientific Investigations Map 3290, 1 map: 35.31 x 27.18 inches, https://doi.org/10.3133/sim3290.","productDescription":"1 map: 35.31 x 27.18 inches","onlineOnly":"Y","ipdsId":"IP-054756","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3290.jpg"},{"id":284118,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3290/pdf/sim3290.pdf"},{"id":284111,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3290/"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,30.422 ], [ -88.8162,30.422 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7b05e4b0b2908510dddc","contributors":{"authors":[{"text":"Sasser, Charles E.","contributorId":86858,"corporation":false,"usgs":true,"family":"Sasser","given":"Charles","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":490419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Visser, Jenneke M.","contributorId":90397,"corporation":false,"usgs":true,"family":"Visser","given":"Jenneke","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":490420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mouton, Edmond","contributorId":46634,"corporation":false,"usgs":true,"family":"Mouton","given":"Edmond","email":"","affiliations":[],"preferred":false,"id":490418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Linscombe, Jeb","contributorId":17704,"corporation":false,"usgs":true,"family":"Linscombe","given":"Jeb","email":"","affiliations":[],"preferred":false,"id":490416,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartley, Steve B. 0000-0003-1380-2769","orcid":"https://orcid.org/0000-0003-1380-2769","contributorId":18065,"corporation":false,"usgs":true,"family":"Hartley","given":"Steve","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":490417,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70098176,"text":"70098176 - 2014 - Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest","interactions":[],"lastModifiedDate":"2014-05-02T17:03:59","indexId":"70098176","displayToPublicDate":"2014-03-17T15:52:00","publicationYear":"2014","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":"Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest","docAbstract":"Reconstructing centennial timescale hydroclimate variability during the late Holocene is critically important for understanding large-scale patterns of drought and their relationship with climate dynamics. We present sediment oxygen isotope records spanning the last two millennia from 10 lakes, as well as climate model simulations, indicating that the Little Ice Age was dry relative to the Medieval Climate Anomaly in much of the Pacific Northwest of North America. This pattern is consistent with observed associations between the El Niño Southern Oscillation (ENSO), the Northern Annular Mode and drought as well as with proxy-based reconstructions of Pacific ocean-atmosphere variations over the past 1000 years. The large amplitude of centennial variability indicated by the lake data suggests that regional hydroclimate is characterized by longer-term shifts in ENSO-like dynamics, and that an improved understanding of the centennial timescale relationship between external forcing and drought conditions is necessary for projecting future hydroclimatic conditions in western North America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/2014GL059499","usgsCitation":"Steinman, B.A., Abbott, M.B., Mann, M.E., Ortiz, J., Feng, S., Pompeani, D.P., Stansell, N.D., Anderson, L., Finney, B., and Bird, B., 2014, Ocean-atmosphere forcing of centennial hydroclimatic variability in the Pacific Northwest: Geophysical Research Letters, v. 41, no. 7, p. 2553-2560, https://doi.org/10.1002/2014GL059499.","productDescription":"8 p.","startPage":"2553","endPage":"2560","numberOfPages":"8","ipdsId":"IP-051490","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl059499","text":"Publisher Index Page"},{"id":284102,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284098,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2014GL059499"}],"country":"Canada;United States","otherGeospatial":"Pacific Northwest","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -140.89,29.99 ], [ -140.89,64.96 ], [ -89.82,64.96 ], [ -89.82,29.99 ], [ -140.89,29.99 ] ] ] } } ] }","volume":"41","issue":"7","noUsgsAuthors":false,"publicationDate":"2014-04-14","publicationStatus":"PW","scienceBaseUri":"53517059e4b05569d805a354","contributors":{"authors":[{"text":"Steinman, Byron A.","contributorId":87064,"corporation":false,"usgs":true,"family":"Steinman","given":"Byron","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abbott, Mark B.","contributorId":97733,"corporation":false,"usgs":true,"family":"Abbott","given":"Mark","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":491665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mann, Michael E.","contributorId":71876,"corporation":false,"usgs":true,"family":"Mann","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ortiz, Joseph D.","contributorId":103175,"corporation":false,"usgs":true,"family":"Ortiz","given":"Joseph D.","affiliations":[],"preferred":false,"id":491667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Feng, Song","contributorId":101978,"corporation":false,"usgs":true,"family":"Feng","given":"Song","email":"","affiliations":[],"preferred":false,"id":491666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pompeani, David P.","contributorId":42130,"corporation":false,"usgs":true,"family":"Pompeani","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stansell, Nathan D.","contributorId":11936,"corporation":false,"usgs":true,"family":"Stansell","given":"Nathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":491659,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anderson, Lesleigh 0000-0002-5264-089X land@usgs.gov","orcid":"https://orcid.org/0000-0002-5264-089X","contributorId":436,"corporation":false,"usgs":true,"family":"Anderson","given":"Lesleigh","email":"land@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":491658,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finney, Bruce P.","contributorId":88074,"corporation":false,"usgs":true,"family":"Finney","given":"Bruce P.","affiliations":[],"preferred":false,"id":491664,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bird, Broxton W.","contributorId":26219,"corporation":false,"usgs":true,"family":"Bird","given":"Broxton W.","affiliations":[],"preferred":false,"id":491660,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70098133,"text":"70098133 - 2014 - Accounting for unsearched areas in estimating wind turbine-caused fatality","interactions":[],"lastModifiedDate":"2014-03-18T08:18:39","indexId":"70098133","displayToPublicDate":"2014-03-17T15:49:00","publicationYear":"2014","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":"Accounting for unsearched areas in estimating wind turbine-caused fatality","docAbstract":"With wind energy production expanding rapidly, concerns about turbine-induced bird and bat fatality have grown and the demand for accurate estimation of fatality is increasing. Estimation typically involves counting carcasses observed below turbines and adjusting counts by estimated detection probabilities. Three primary sources of imperfect detection are 1) carcasses fall into unsearched areas, 2) carcasses are removed or destroyed before sampling, and 3) carcasses present in the searched area are missed by observers. Search plots large enough to comprise 100% of turbine-induced fatality are expensive to search and may nonetheless contain areas unsearchable because of dangerous terrain or impenetrable brush. We evaluated models relating carcass density to distance from the turbine to estimate the proportion of carcasses expected to fall in searched areas and evaluated the statistical cost of restricting searches to areas near turbines where carcass density is highest and search conditions optimal. We compared 5 estimators differing in assumptions about the relationship of carcass density to distance from the turbine. We tested them on 6 different carcass dispersion scenarios at each of 3 sites under 2 different search regimes. We found that even simple distance-based carcass-density models were more effective at reducing bias than was a 5-fold expansion of the search area. Estimators incorporating fitted rather than assumed models were least biased, even under restricted searches. Accurate estimates of fatality at wind-power facilities will allow critical comparisons of rates among turbines, sites, and regions and contribute to our understanding of the potential environmental impact of this technology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Wildlife Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.663","usgsCitation":"Huso, M., and Dalthorp, D., 2014, Accounting for unsearched areas in estimating wind turbine-caused fatality: Journal of Wildlife Management, v. 78, no. 2, p. 347-358, https://doi.org/10.1002/jwmg.663.","productDescription":"12 p.","startPage":"347","endPage":"358","numberOfPages":"12","ipdsId":"IP-051624","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":284104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284083,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jwmg.663"}],"volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-18","publicationStatus":"PW","scienceBaseUri":"53516f28e4b05569d805a01e","contributors":{"authors":[{"text":"Huso, Manuela M.P.","contributorId":80566,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela M.P.","affiliations":[],"preferred":false,"id":491566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Dan","contributorId":51197,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Dan","email":"","affiliations":[],"preferred":false,"id":491565,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70098134,"text":"70098134 - 2014 - Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar","interactions":[],"lastModifiedDate":"2014-03-17T15:46:19","indexId":"70098134","displayToPublicDate":"2014-03-17T15:41:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar","docAbstract":"In response to the Deepwater Horizon oil spill in spring 2010, the Natural Resources Conservation Service implemented the Migratory Bird Habitat Initiative (MBHI) to provide temporary wetland habitat for migrating and wintering waterfowl, shorebirds, and other birds along the northern Gulf of Mexico via managed flooding of agricultural lands. We used weather-surveillance radar to conduct broad regional assessments of bird response to MBHI activities within the Mississippi Alluvial Valley and the West Gulf Coastal Plain. Across both regions, birds responded positively to MBHI management by exhibiting greater relative bird densities within sites relative to pre-management conditions in prior years and relative to surrounding non-flooded agricultural lands. Bird density at MBHI sites was generally greatest during winter for both regions. Unusually high flooding in the years prior to implementation of the MBHI confounded detection of overall changes in remotely sensed soil wetness across sites. The magnitude of bird response at MBHI sites compared to prior years and to non-flooded agricultural lands was generally related to the surrounding landscape context: proximity to areas of high bird density, amount of forested wetlands, emergent marsh, non-flooded agriculture, or permanent open water. However, these relationships varied in strength and direction between regions and seasons, a finding which we attribute to differences in seasonal bird composition and broad regional differences in landscape configuration and composition. We detected greater increases in relative bird use at sites in closer proximity to areas of high bird density during winter in both regions. Additionally, bird density was greater during winter at sites with more emergent marsh in the surrounding landscape. Thus, bird use of managed wetlands could be maximized by enrolling lands located near areas of known bird concentration and within a mosaic of existing wetlands. Weather-radar observations provide strong evidence that MBHI sites located inland from coastal wetlands impacted by the oil spill provided wetland habitat used by a variety of birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Southeastern Naturalist","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.013.0112","usgsCitation":"Sieges, M.L., Smolinsky, J., Baldwin, M., Barrow, W., Randall, L.A., and Buler, J., 2014, Assessment of bird response to the Migratory Bird Habitat Initiative using weather-surveillance radar: Southeastern Naturalist, v. 13, no. 1, p. G36-G65, https://doi.org/10.1656/058.013.0112.","productDescription":"30 p.","startPage":"G36","endPage":"G65","numberOfPages":"30","ipdsId":"IP-049169","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":284101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284097,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1656/058.013.0112"}],"country":"United States","otherGeospatial":"Gulf Of Mexico;Mississippi Alluvial Valley;West Gulf Coastal Plain","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.32,28.42 ], [ -96.32,36.51 ], [ -88.39,36.51 ], [ -88.39,28.42 ], [ -96.32,28.42 ] ] ] } } ] }","volume":"13","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517025e4b05569d805a163","contributors":{"authors":[{"text":"Sieges, Mason L.","contributorId":75441,"corporation":false,"usgs":true,"family":"Sieges","given":"Mason","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smolinsky, Jaclyn A.","contributorId":9175,"corporation":false,"usgs":true,"family":"Smolinsky","given":"Jaclyn A.","affiliations":[],"preferred":false,"id":491570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Michael J. 0000-0003-1939-5439 baldwinm@usgs.gov","orcid":"https://orcid.org/0000-0003-1939-5439","contributorId":3294,"corporation":false,"usgs":true,"family":"Baldwin","given":"Michael J.","email":"baldwinm@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":491569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrow, Wylie C. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":1988,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","email":"barroww@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":491567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","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":491568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buler, Jeffrey J.","contributorId":78431,"corporation":false,"usgs":true,"family":"Buler","given":"Jeffrey J.","affiliations":[],"preferred":false,"id":491572,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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