{"pageNumber":"566","pageRowStart":"14125","pageSize":"25","recordCount":68919,"records":[{"id":70160720,"text":"70160720 - 2014 - Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013","interactions":[],"lastModifiedDate":"2016-09-08T15:05:06","indexId":"70160720","displayToPublicDate":"2014-03-24T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013","docAbstract":"The USGS Great Lakes Science Center has conducted trawl surveys to assess annual changes in the offshore demersal fish community of Lake Huron since 1973. Sample sites include five ports in U.S. waters with less frequent sampling near Goderich, Ontario. The 2013 fall bottom trawl survey was carried out between 25 October – 21 November 2013 and included all U.S. ports as well as Goderich, ON. The 2013 main basin prey fish biomass estimate for Lake Huron was 47 kilotonnes, less than half of the estimate in 2012 (97 Kt), and approximately 13 percent of the maximum estimate in the time series. The biomass etimate for YAO alewife in 2013 was lower than in 2012, remained much lower than levels observed before the crash in 2004, and populations were dominated by small fish. Estimated biomass of rainbow smelt also decreased and was the second lowest observed in the time series. Estimated YAO bloater biomass in Lake Huron was also reduced compared to 2012. YOY alewife, rainbow smelt, and bloater abundance and biomass increased over 2012. Biomass estimates for deepwater and slimy sculpins, trout-perch, ninespine stickleback, and round goby in 2013 were lower than in 2012 and remained low compared to historic estimates. Wild juvenile lake trout were captured again in 2013, suggesting that natural reproduction by lake trout continues to occur.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Riley, S.C., Roseman, E., Chriscinske, M.A., Tucker, T.R., Ross, J.E., Dieter, P.M., Watson, N.M., and Woelmer, W., 2014, Status and trends of the Lake Huron offshore Demersal fish community, 1976-2013, 13 p. .","productDescription":"13 p. ","startPage":"88","endPage":"100","ipdsId":"IP-054974","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":328411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":312996,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/lakecom/common_docs/Compiled%20Reports%20from%20USGS%202014.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57d28bafe4b0571647d0f948","contributors":{"authors":[{"text":"Riley, Stephen C. 0000-0002-8968-8416 sriley@usgs.gov","orcid":"https://orcid.org/0000-0002-8968-8416","contributorId":2661,"corporation":false,"usgs":true,"family":"Riley","given":"Stephen","email":"sriley@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":147266,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":583679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chriscinske, Margret Ann 0000-0002-9930-0630 mchriscinske@usgs.gov","orcid":"https://orcid.org/0000-0002-9930-0630","contributorId":4416,"corporation":false,"usgs":true,"family":"Chriscinske","given":"Margret","email":"mchriscinske@usgs.gov","middleInitial":"Ann","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tucker, Taaja R. 0000-0003-1534-4677 trtucker@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-4677","contributorId":5172,"corporation":false,"usgs":true,"family":"Tucker","given":"Taaja","email":"trtucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Jason E. jeross@usgs.gov","contributorId":5748,"corporation":false,"usgs":true,"family":"Ross","given":"Jason","email":"jeross@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dieter, Patricia M. 0000-0003-1686-2679 parmenio@usgs.gov","orcid":"https://orcid.org/0000-0003-1686-2679","contributorId":5289,"corporation":false,"usgs":true,"family":"Dieter","given":"Patricia","email":"parmenio@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583683,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583684,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Woelmer, Whitney 0000-0001-5147-3877 wwoelmer@usgs.gov","orcid":"https://orcid.org/0000-0001-5147-3877","contributorId":150485,"corporation":false,"usgs":true,"family":"Woelmer","given":"Whitney","email":"wwoelmer@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":583685,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70134498,"text":"70134498 - 2014 - Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","interactions":[],"lastModifiedDate":"2020-12-23T16:21:27.378371","indexId":"70134498","displayToPublicDate":"2014-03-21T13:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Large natural pH, CO<sub>2</sub> and O<sub>2</sub> fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","title":"Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales","docAbstract":"<p><span>Coastal marine organisms experience dynamic pH and dissolved oxygen (DO) conditions in their natural habitats, which may impact their susceptibility to long-term anthropogenic changes. Robust characterizations of all temporal scales of natural pH and DO fluctuations in different marine habitats are needed; however, appropriate time series of pH and DO are still scarce. We used multiyear (2008–2012), high-frequency (6&nbsp;min) monitoring data to quantify diel, seasonal, and interannual scales of pH and DO variability in a productive, temperate tidal salt marsh (Flax Pond, Long Island, US). pH</span><sub>NBS</sub><span>&nbsp;and DO showed strong and similar seasonal patterns, with average (minimum) conditions declining from 8.2 (8.1) and 12.5 (11.4) mg&nbsp;l</span><sup>−1</sup><span>&nbsp;at the end of winter to 7.6 (7.2) and 6.3 (2.8) mg&nbsp;l</span><sup>−1</sup><span>&nbsp;in late summer, respectively. Concomitantly, average diel fluctuations increased from 0.22 and 2.2&nbsp;mg&nbsp;l</span><sup>−1</sup><span>&nbsp;(February) to 0.74 and 6.5&nbsp;mg&nbsp;l</span><sup>−1</sup><span>&nbsp;(August), respectively. Diel patterns were modulated by tides and time of day, eliciting the most extreme minima when low tides aligned with the end of the night. Simultaneous in situ pCO</span><sub>2</sub><span>&nbsp;measurements showed striking fluctuations between ∼330 and ∼1,200 (early May), ∼2,200 (mid June), and ∼4,000&nbsp;μatm (end of July) within single tidal cycles. These patterns also indicate that the marsh’s strong net heterotrophy influences its adjacent estuary by ‘outwelling’ acidified and hypoxic water during ebb tides. Our analyses emphasize the coupled and fluctuating nature of pH and DO conditions in productive coastal and estuarine environments, which have yet to be adequately represented by experiments.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s12237-014-9800-y","usgsCitation":"Baumann, H., Wallace, R., Tagliaferri, T.N., and Gobler, C.J., 2014, Large natural pH, CO2 and O2 fluctuations in a temperate tidal salt marsh on diel, seasonal, and interannual time scales: Estuaries and Coasts, v. 38, p. 220-231, https://doi.org/10.1007/s12237-014-9800-y.","productDescription":"12 p.","startPage":"220","endPage":"231","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052918","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":296386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Flax Pond, Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.15135002136229,\n              40.95967830900992\n            ],\n            [\n              -73.13070774078369,\n              40.95967830900992\n            ],\n            [\n              -73.13070774078369,\n              40.96816877082855\n            ],\n            [\n              -73.15135002136229,\n              40.96816877082855\n            ],\n            [\n              -73.15135002136229,\n              40.95967830900992\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"38","noUsgsAuthors":false,"publicationDate":"2014-03-21","publicationStatus":"PW","scienceBaseUri":"547ee2cce4b09357f05f8a5f","contributors":{"authors":[{"text":"Baumann, Hannes","contributorId":127638,"corporation":false,"usgs":false,"family":"Baumann","given":"Hannes","affiliations":[{"id":7093,"text":"Adjunct Assist Prof, School of Marine & Atmospheric Sciences, Stony Brook Univ","active":true,"usgs":false}],"preferred":false,"id":526053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Ryan","contributorId":127639,"corporation":false,"usgs":false,"family":"Wallace","given":"Ryan","email":"","affiliations":[{"id":7094,"text":"Grad Student, School of Marine & Atmospheric Sciences, Stony Brook Univ","active":true,"usgs":false}],"preferred":false,"id":526054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tagliaferri, Tristen N. 0000-0001-7408-7899 ttagliaferri@usgs.gov","orcid":"https://orcid.org/0000-0001-7408-7899","contributorId":5138,"corporation":false,"usgs":true,"family":"Tagliaferri","given":"Tristen","email":"ttagliaferri@usgs.gov","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":526052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gobler, Christopher J.","contributorId":127640,"corporation":false,"usgs":false,"family":"Gobler","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":7095,"text":"Professor, School of Marine & Atmospheric Sciences, Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":526055,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":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":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":6619,"text":"University of Connecticutt","active":true,"usgs":false},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"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":70098969,"text":"70098969 - 2014 - North Atlantic migratory bird flyways provide routes for intercontinental movement of avian influenza viruses","interactions":[],"lastModifiedDate":"2018-01-03T13:11:40","indexId":"70098969","displayToPublicDate":"2014-03-20T08:52:00","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":"North Atlantic migratory bird flyways provide routes for intercontinental movement of avian influenza viruses","docAbstract":"<p>Avian influenza virus (AIV) in wild birds has been of increasing interest over the last decade due to the emergence of AIVs that cause significant disease and mortality in both poultry and humans. While research clearly demonstrates that AIVs can move across the Pacific or Atlantic Ocean, there has been no data to support the mechanism of how this occurs. In spring and autumn of 2010 and autumn of 2011 we obtained cloacal swab samples from 1078 waterfowl, gulls, and shorebirds of various species in southwest and west Iceland and tested them for AIV. From these, we isolated and fully sequenced the genomes of 29 AIVs from wild caught gulls (Charadriiformes) and waterfowl (Anseriformes) in Iceland. We detected viruses that were entirely (8 of 8 genomic segments) of American lineage, viruses that were entirely of Eurasian lineage, and viruses with mixed American-Eurasian lineage. Prior to this work only 2 AIVs had been reported from wild birds in Iceland and only the sequence from one segment was available in GenBank. This is the first report of finding AIVs of entirely American lineage and Eurasian lineage, as well as reassortant viruses, together in the same geographic location. Our study demonstrates the importance of the North Atlantic as a corridor for the movement of AIVs between Europe and North America.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0092075","usgsCitation":"Dusek, R., Hallgrimsson, G., Ip, S., Jónsson, J., Sreevatsan, S., Nashold, S.W., TeSlaa, J.L., Enomoto, S., Halpin, R., Lin, X., Federova, N., Stockwell, T.B., Dugan, V.G., Wentworth, D.E., and Hall, J.S., 2014, North Atlantic migratory bird flyways provide routes for intercontinental movement of avian influenza viruses: PLoS ONE, v. 9, no. 3, 8 p., https://doi.org/10.1371/journal.pone.0092075.","productDescription":"8 p.","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052159","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473100,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0092075","text":"Publisher Index Page"},{"id":284302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284300,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0092075"}],"country":"Iceland","otherGeospatial":"North Atlantic","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -23.752441406249996,\n              66.91283401424863\n            ],\n            [\n              -19.4677734375,\n              66.51326044311188\n            ],\n            [\n              -18.17138671875,\n              66.91283401424863\n            ],\n            [\n              -15.402832031250002,\n              66.93866882358137\n         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]\n}","volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-19","publicationStatus":"PW","scienceBaseUri":"55322edde4b0b22a158063f4","contributors":{"authors":[{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":2397,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert J.","email":"rdusek@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":491803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hallgrimsson, Gunnar T.","contributorId":94584,"corporation":false,"usgs":true,"family":"Hallgrimsson","given":"Gunnar T.","affiliations":[],"preferred":false,"id":491814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":491801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jónsson, Jón E.","contributorId":8761,"corporation":false,"usgs":true,"family":"Jónsson","given":"Jón E.","affiliations":[],"preferred":false,"id":491806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sreevatsan, Srinand","contributorId":96186,"corporation":false,"usgs":true,"family":"Sreevatsan","given":"Srinand","email":"","affiliations":[],"preferred":false,"id":491815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nashold, Sean W. 0000-0002-8869-6633 snashold@usgs.gov","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":3611,"corporation":false,"usgs":true,"family":"Nashold","given":"Sean","email":"snashold@usgs.gov","middleInitial":"W.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":491804,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"TeSlaa, Joshua L. 0000-0001-7802-3454 jteslaa@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-3454","contributorId":46813,"corporation":false,"usgs":true,"family":"TeSlaa","given":"Joshua","email":"jteslaa@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":false,"id":491810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Enomoto, Shinichiro","contributorId":61744,"corporation":false,"usgs":true,"family":"Enomoto","given":"Shinichiro","email":"","affiliations":[],"preferred":false,"id":491812,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Halpin, Rebecca A.","contributorId":48427,"corporation":false,"usgs":true,"family":"Halpin","given":"Rebecca A.","affiliations":[],"preferred":false,"id":491811,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lin, Xudong","contributorId":34820,"corporation":false,"usgs":true,"family":"Lin","given":"Xudong","affiliations":[],"preferred":false,"id":491809,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Federova, Nadia","contributorId":85875,"corporation":false,"usgs":true,"family":"Federova","given":"Nadia","affiliations":[],"preferred":false,"id":491813,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stockwell, Timothy B.","contributorId":31613,"corporation":false,"usgs":true,"family":"Stockwell","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":491807,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dugan, Vivien G.","contributorId":32446,"corporation":false,"usgs":true,"family":"Dugan","given":"Vivien","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":491808,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wentworth, David E.","contributorId":7956,"corporation":false,"usgs":true,"family":"Wentworth","given":"David","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491805,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":491802,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"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":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":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":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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","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":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":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}]}}
,{"id":70055555,"text":"tm4A9 - 2014 - HydroClimATe: hydrologic and climatic analysis toolkit","interactions":[],"lastModifiedDate":"2018-04-02T15:21:11","indexId":"tm4A9","displayToPublicDate":"2014-03-17T14:53:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-A9","title":"HydroClimATe: hydrologic and climatic analysis toolkit","docAbstract":"The potential consequences of climate variability and climate change have been identified as major issues for the sustainability and availability of the worldwide water resources. Unlike global climate change, climate variability represents deviations from the long-term state of the climate over periods of a few years to several decades. Currently, rich hydrologic time-series data are available, but the combination of data preparation and statistical methods developed by the U.S. Geological Survey as part of the Groundwater Resources Program is relatively unavailable to hydrologists and engineers who could benefit from estimates of climate variability and its effects on periodic recharge and water-resource availability. This report documents HydroClimATe, a computer program for assessing the relations between variable climatic and hydrologic time-series data. HydroClimATe was developed for a Windows operating system. The software includes statistical tools for (1) time-series preprocessing, (2) spectral analysis, (3) spatial and temporal analysis, (4) correlation analysis, and (5) projections. The time-series preprocessing tools include spline fitting, standardization using a normal or gamma distribution, and transformation by a cumulative departure. The spectral analysis tools include discrete Fourier transform, maximum entropy method, and singular spectrum analysis. The spatial and temporal analysis tool is empirical orthogonal function analysis. The correlation analysis tools are linear regression and lag correlation. The projection tools include autoregressive time-series modeling and generation of many realizations. These tools are demonstrated in four examples that use stream-flow discharge data, groundwater-level records, gridded time series of precipitation data, and the Multivariate ENSO Index.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4A9","collaboration":"Groundwater Resources Program. This report is Chapter 9 of Section A: Statistical analysis in Book 4 <i>Hydrologic Analysis and Interpretation</i>.","usgsCitation":"Dickinson, J.E., Hanson, R.T., and Predmore, S.K., 2014, HydroClimATe: hydrologic and climatic analysis toolkit: U.S. Geological Survey Techniques and Methods 4-A9, x, 48 p., https://doi.org/10.3133/tm4A9.","productDescription":"x, 48 p.","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-035956","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm4A9.jpg"},{"id":284091,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm4a9/"},{"id":284092,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm4a9/pdf/tm4-a9.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd60efe4b0b290850fd3b7","contributors":{"authors":[{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Predmore, Steven K. spredmor@usgs.gov","contributorId":1512,"corporation":false,"usgs":true,"family":"Predmore","given":"Steven","email":"spredmor@usgs.gov","middleInitial":"K.","affiliations":[],"preferred":true,"id":486144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70074261,"text":"sir20145018 - 2014 - Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota","interactions":[],"lastModifiedDate":"2014-03-17T13:19:28","indexId":"sir20145018","displayToPublicDate":"2014-03-17T13:12:00","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":"2014-5018","title":"Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota","docAbstract":"Accelerated sedimentation of reservoirs and riverine impoundments is a major concern throughout the United States. Sediments not only fill impoundments and reduce their effective life span, but they can reduce water quality by increasing turbidity and introducing harmful chemical constituents such as heavy metals, toxic elements, and nutrients. U.S. Fish and Wildlife Service national wildlife refuges in the north-central part of the United States have documented high amounts of sediment accretion in some wetlands that could negatively affect important aquatic habitats for migratory birds and other wetland-dependent wildlife. Therefore, information pertaining to sediment accumulation in refuge impoundments potentially is important to guide conservation planning, including future management actions of individual impoundments. Lands comprising Des Lacs, Upper Souris, and J. Clark Salyer National Wildlife Refuges, collectively known as the Souris River Basin refuges, encompass reaches of the Des Lacs and Souris Rivers of northwestern North Dakota. The riverine impoundments of the Souris River Basin refuges are vulnerable to sedimentation because of the construction of in-stream dams that interrupt and slow river flows and because of post-European settlement land-use changes that have increased the potential for soil erosion and transport to rivers. Information regarding sediments does not exist for these refuges, and U.S. Fish and Wildlife Service personnel have expressed interest in assessing refuge impoundments to support refuge management decisions.\n\nSediment cores and surface sediment samples were collected from impoundments within Des Lacs, Upper Souris, and J. Clark Salyer National Wildlife Refuges during 2004–05. Cores were used to estimate sediment accretion rates using radioisotope (cesium-137 [<sup>137</sup>Cs], lead-210 [<sup>210</sup>Pb]) dating techniques. Sediment cores and surface samples were analyzed for a suite of elements and agrichemicals, respectively. Examination of core characteristics along the depth profile suggests that there has been regular sediment mixing and removal, as well as non-uniform sediment deposition with time. Estimated mean accretion rates based on the three methods of determination (two time markers for <sup>137</sup>Cs, <sup>210</sup>Pb) ranged from 0.22–0.35 centimeters per year, and approximately 70 percent of cores had less <sup>137</sup>Cs than expected. Concentrations of sediment-associated elements generally were within reported reference ranges, and all agrichemicals analyzed were below detection limits. Results suggest that there does not appear to be widespread sediment accumulation in impoundments of the Souris River Basin refuges. In addition, there were no identifiable patterns among sedimentation rates from the upstream (Des Lacs, Upper Souris) to the downstream (J. Clark Salyer) refuges. There were, however, apparent upstream to downstream patterns of increased concentrations of some elements (for example, aluminum, boron, and vanadium) that may warrant further exploration. Future related monitoring and research efforts should focus on areas with high potential for sediment accumulation, such as upstream areas adjacent to dams, to identify potential sediment problems before they become too severe. Further, assessments of suspended sediments transported in the Des Lacs and Souris Rivers would augment interpretation of sedimentation data by identifying potential sediment sources and areas with the greatest potential for accumulation.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145018","issn":"2328-0328","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Tangen, B., Laubhan, M.K., and Gleason, R.A., 2014, Assessment of sediments in the riverine impoundments of national wildlife refuges in the Souris River Basin, North Dakota: U.S. Geological Survey Scientific Investigations Report 2014-5018, Report: vi, 37 p.; Appendixes: 1-2, https://doi.org/10.3133/sir20145018.","productDescription":"Report: vi, 37 p.; Appendixes: 1-2","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-046370","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":284075,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145018.jpg"},{"id":284071,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5018/"},{"id":284073,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5018/downloads/Appendix1_2JAN2014.xlsx"},{"id":284072,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5018/pdf/sir2014-5018.pdf"},{"id":284074,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5018/downloads/Appendix2_2JAN2014.xlsx"}],"scale":"5000000","country":"United States","state":"North Dakota","otherGeospatial":"Souris River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -102.25,48.0 ], [ -102.25,49.0 ], [ -100.5,49.0 ], [ -100.5,48.0 ], [ -102.25,48.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4e3de4b0b290850f1faf","contributors":{"authors":[{"text":"Tangen, Brian A.","contributorId":78419,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","affiliations":[],"preferred":false,"id":489443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laubhan, Murray K.","contributorId":100324,"corporation":false,"usgs":true,"family":"Laubhan","given":"Murray","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":489444,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleason, Robert A. 0000-0001-5308-8657 rgleason@usgs.gov","orcid":"https://orcid.org/0000-0001-5308-8657","contributorId":2402,"corporation":false,"usgs":true,"family":"Gleason","given":"Robert","email":"rgleason@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":489442,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70056142,"text":"fs20133076 - 2014 - Water resources of Cameron Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-03-18T08:27:44","indexId":"fs20133076","displayToPublicDate":"2014-03-17T12:48:00","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":"2013-3076","title":"Water resources of Cameron Parish, Louisiana","docAbstract":"This fact sheet presents a brief overview of groundwater and surface-water resources in Cameron Parish, Louisiana. Information on the availability, use, and quality of water from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (<a href=\"http://waterdata.usgs.gov/nwis\">http://waterdata.usgs.gov/nwis</a>) are the primary sources of this information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133076","issn":"2327-6932","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., 2014, Water resources of Cameron Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3076, 6 p., https://doi.org/10.3133/fs20133076.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-045733","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284069,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133076.jpg"},{"id":284067,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3076/"},{"id":284068,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3076/pdf/fs2013-3076.pdf"}],"projection":"Universal Transverse Mercator, zone 15","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","otherGeospatial":"Cameron Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0,29.666667 ], [ -94.0,30.166667 ], [ -92.5,30.166667 ], [ -92.5,29.666667 ], [ -94.0,29.666667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7cb5e4b0b2908510eec3","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486331,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70056143,"text":"fs20133073 - 2014 - Water resources of Jefferson Parish, Louisiana","interactions":[],"lastModifiedDate":"2014-03-17T12:52:12","indexId":"fs20133073","displayToPublicDate":"2014-03-17T12:47:00","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":"2013-3073","title":"Water resources of Jefferson Parish, Louisiana","docAbstract":"This fact sheet presents a brief overview of groundwater and surface-water resources in Jefferson Parish, Louisiana. Information on the availability, use, and quality of water from groundwater and surface-water sources in the parish is discussed. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (<a href=\"http://waterdata.usgs.gov/nwis\" target=\"_blank\">http://waterdata.usgs.gov/nwis</a>) are the primary sources of this information.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133073","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Prakken, L., and Lovelace, J.K., 2014, Water resources of Jefferson Parish, Louisiana: U.S. Geological Survey Fact Sheet 2013-3073, 6 p., https://doi.org/10.3133/fs20133073.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045758","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133073.jpg"},{"id":284065,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3073/pdf/fs2013-3073.pdf"},{"id":284064,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3073/"}],"country":"United States","state":"Louisiana","county":"Jefferson Parish","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.3545,29.0976 ], [ -90.3545,30.1946 ], [ -89.7032,30.1946 ], [ -89.7032,29.0976 ], [ -90.3545,29.0976 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd7cb8e4b0b2908510eee5","contributors":{"authors":[{"text":"Prakken, Lawrence B.","contributorId":73978,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","affiliations":[],"preferred":false,"id":486333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486332,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70058522,"text":"sir20135227 - 2014 - Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","interactions":[],"lastModifiedDate":"2014-06-11T15:46:22","indexId":"sir20135227","displayToPublicDate":"2014-03-17T10:46:00","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":"2013-5227","title":"Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana","docAbstract":"<p>Groundwater withdrawals have caused saltwater to encroach into freshwater-bearing aquifers beneath Baton Rouge, Louisiana. Groundwater investigations in the 1960s identified a freshwater-saltwater interface located at the Baton Rouge Fault, across which abrupt changes in water levels occur. Aquifers south of the fault generally contain saltwater, and aquifers north of the fault contain freshwater, though limited saltwater encroachment has been detected within 7 of the 10 aquifers north of the fault. The 10 aquifers beneath the Baton Rouge area, which includes East and West Baton Rouge Parishes, Pointe Coupee Parish, and East and West Feliciana Parishes, provided about 167 million gallons per day (Mgal/d) for public supply and industrial use in 2010. Groundwater withdrawals from the “2,000-foot” sand in East Baton Rouge Parish have caused water-level drawdown as great as 356 feet (ft) and induced saltwater movement northward across the fault. Saltwater encroachment threatens industrial wells that are located about 3 miles north of the fault. Constant and variable-density groundwater models were developed with the MODFLOW and SEAWAT groundwater modeling codes to evaluate strategies to control saltwater migration, including changes in the distribution of groundwater withdrawals and installation of “scavenger” wells to intercept saltwater before it reaches existing production wells.</p>\n<br/>\n<p>Six hypothetical scenarios simulated the effects of different groundwater withdrawal options on groundwater levels within the “1,500-foot” sand and the “2,000-foot” sand and the transport of saltwater within the “2,000-foot” sand during 2008–47. Scenario 1 is considered a base case for comparison to the other five scenarios and simulates continuation of 2007 reported groundwater withdrawals. Scenario 2 simulates discontinuation of withdrawals from seven selected industrial wells located in the northwest corner of East Baton Rouge Parish and predicts that water levels within the “1,500-foot” sand will be about 10 to 12 ft higher with this withdrawal reduction than under scenario 1. Scenario 3 simulates the effects of a scavenger well on water levels and chloride concentrations within the “2,000-foot” sand. The scavenger well, which withdraws water from the base of the “2,000-foot” sand at a rate of 2.0 Mgal/d, is simulated at two possible locations. In comparison to the concentrations simulated in scenario 1, operation of the scavenger well at the locations specified in scenario 3 reduces the chloride concentrations at all existing chloride-observation well locations. Scenario 4 simulates a 3.6 Mgal/d reduction in total groundwater withdrawals from selected wells screened in the “2,000-foot” sand that are located in the Baton Rouge industrial district. Under scenario 4, chloride concentrations decrease in the leading portion of the plume south of the industrial district but increase in areas farther east. Scenario 5 simulates the effects of total cessation of withdrawals from the “2,000-foot” sand in the industrial district, which causes a change in the groundwater-flow direction toward municipal supply wells and increased chloride concentrations in the area where municipal supply wells are located. Scenario 6 simulates the combined effect of withdrawal reductions from the “2,000-foot” sand and operation of a scavenger well and was most effective at decreasing the size of the plume area and median and mean chloride concentrations within the “2000-foot” sand in the Baton Rouge area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135227","issn":"2328-0328","collaboration":"Prepared in cooperation with the Capital Area Groundwater Conservation Commission; the Louisiana Department of Transportation and Development, Public Works and Water Resources Division; and the City of Baton Rouge and Parish of East Baton Rouge","usgsCitation":"Heywood, C.E., Griffith, J.M., and Lovelace, J.K., 2014, Simulation of groundwater flow in the \"1,500-foot\" sand and \"2,000-foot\" sand, with scenarios to mitigate saltwater migration in the \"2,000-foot\" sand of the Baton Rouge area, Louisiana (Version 1.0 March 17, 2014; Version 1.1 April 28, 2014; Version 1.2 June 11, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5227, x, 63 p., https://doi.org/10.3133/sir20135227.","productDescription":"x, 63 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051040","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":284058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135227.PNG"},{"id":284056,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5227/"},{"id":284057,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5227/pdf/sir2013-5227.pdf"}],"projection":"Universal Transverse Mercator","datum":"North American Datum of 1983","country":"United States","state":"Louisiana","county":"East Baton Rouge Parish;East Feliciana Parish;Pointe Coupee Parish;West Baton Rouge Parish;West Feliciana Parish","city":"Baton Rouge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0709,30.1641 ], [ -92.0709,31.4978 ], [ -90.2496,31.4978 ], [ -90.2496,30.1641 ], [ -92.0709,30.1641 ] ] ] } } ] }","edition":"Version 1.0 March 17, 2014; Version 1.1 April 28, 2014; Version 1.2 June 11, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517062e4b05569d805a3ae","contributors":{"authors":[{"text":"Heywood, Charles E. cheywood@usgs.gov","contributorId":2043,"corporation":false,"usgs":true,"family":"Heywood","given":"Charles","email":"cheywood@usgs.gov","middleInitial":"E.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Griffith, Jason M. 0000-0002-8942-0380 jmgriff@usgs.gov","orcid":"https://orcid.org/0000-0002-8942-0380","contributorId":2923,"corporation":false,"usgs":true,"family":"Griffith","given":"Jason","email":"jmgriff@usgs.gov","middleInitial":"M.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovelace, John K. 0000-0002-8532-2599 jlovelac@usgs.gov","orcid":"https://orcid.org/0000-0002-8532-2599","contributorId":999,"corporation":false,"usgs":true,"family":"Lovelace","given":"John","email":"jlovelac@usgs.gov","middleInitial":"K.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487137,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099919,"text":"70099919 - 2014 - Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","interactions":[],"lastModifiedDate":"2014-05-16T16:09:35","indexId":"70099919","displayToPublicDate":"2014-03-17T09:04:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2320,"text":"Journal of Geophysical Research: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011","docAbstract":"The 2011 flood in the Lower Mississippi resulted in the second highest recorded river flow diverted into the Atchafalaya River Basin (ARB). The higher water levels during the flood peak resulted in high hydrologic connectivity between the Atchafalaya River and floodplain, with up to 50% of the Atchafalaya River water moving off channel. Water quality samples were collected throughout the ARB over the course of the flood event. Significant nitrate (NO<sub>3</sub>-) reduction (75%) occurred within the floodplain, resulting in a total NO<sub>3</sub>- reduction of 16.6% over the flood. The floodplain was a small but measurable source of dissolved reactive phosphorus (SRP) and ammonium (NH<sub>4</sub>+). Collectively, these results from this large flood event suggest that enhancing river-floodplain connectivity through freshwater diversions will reduce NO<sub>3</sub>- loads to the Gulf of Mexico during large annual floods.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research: Biogeosciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013JG002477","usgsCitation":"Scott, D.T., Keim, R., Edwards, B., Jones, C.N., and Kroes, D.E., 2014, Floodplain biogeochemical processing of floodwaters in the Atchafalaya River Basin during the Mississippi River flood of 2011: Journal of Geophysical Research: Biogeosciences, v. 119, no. 4, p. 537-546, https://doi.org/10.1002/2013JG002477.","productDescription":"10 p.","startPage":"537","endPage":"546","numberOfPages":"10","ipdsId":"IP-054527","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":473106,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jg002477","text":"Publisher Index Page"},{"id":285087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285086,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JG002477"}],"country":"United States","state":"Louisiana","otherGeospatial":"Atchafalaya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.8258,29.4749 ], [ -91.8258,31.0271 ], [ -91.1721,31.0271 ], [ -91.1721,29.4749 ], [ -91.8258,29.4749 ] ] ] } } ] }","volume":"119","issue":"4","noUsgsAuthors":false,"publicationDate":"2014-04-21","publicationStatus":"PW","scienceBaseUri":"5351703ce4b05569d805a206","contributors":{"authors":[{"text":"Scott, Durelle T.","contributorId":102383,"corporation":false,"usgs":true,"family":"Scott","given":"Durelle","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":492068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keim, Richard F.","contributorId":21858,"corporation":false,"usgs":true,"family":"Keim","given":"Richard F.","affiliations":[],"preferred":false,"id":492064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Brandon L.","contributorId":35231,"corporation":false,"usgs":true,"family":"Edwards","given":"Brandon L.","affiliations":[],"preferred":false,"id":492066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, C. Nathan","contributorId":38894,"corporation":false,"usgs":true,"family":"Jones","given":"C.","email":"","middleInitial":"Nathan","affiliations":[],"preferred":false,"id":492067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kroes, Daniel E.","contributorId":32260,"corporation":false,"usgs":true,"family":"Kroes","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492065,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70099966,"text":"70099966 - 2014 - ListingAnalyst: A program for analyzing the main output file from MODFLOW","interactions":[],"lastModifiedDate":"2014-03-28T08:59:09","indexId":"70099966","displayToPublicDate":"2014-03-17T08:56:03","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"ListingAnalyst: A program for analyzing the main output file from MODFLOW","docAbstract":"ListingAnalyst is a Windows® program for viewing the main output file from MODFLOW-2005, MODFLOW-NWT, or MODFLOW-LGR. It organizes and displays large files quickly without using excessive memory. The sections and subsections of the file are displayed in a tree-view control, which allows the user to navigate quickly to desired locations in the files. ListingAnalyst gathers error and warning messages scattered throughout the main output file and displays them all together in an error and a warning tab. A grid view displays tables in a readable format and allows the user to copy the table into a spreadsheet. The user can also search the file for terms of interest.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/gwat.12054","usgsCitation":"Winston, R.B., and Paulinski, S., 2014, ListingAnalyst: A program for analyzing the main output file from MODFLOW: Ground Water, v. 52, no. 2, p. 317-321, https://doi.org/10.1111/gwat.12054.","productDescription":"5 p.","startPage":"317","endPage":"321","ipdsId":"IP-043055","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":438770,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O0IL7V","text":"USGS data release","linkHelpText":"ListingAnalyst version 1.2"},{"id":285085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285078,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/gwat.12054"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-04-12","publicationStatus":"PW","scienceBaseUri":"53517053e4b05569d805a30a","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":492071,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paulinski, Scott 0000-0001-6548-8164 spaulinski@usgs.gov","orcid":"https://orcid.org/0000-0001-6548-8164","contributorId":4269,"corporation":false,"usgs":true,"family":"Paulinski","given":"Scott","email":"spaulinski@usgs.gov","affiliations":[],"preferred":true,"id":492072,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70095819,"text":"ofr20141051 - 2014 - Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk","interactions":[],"lastModifiedDate":"2014-07-22T11:29:49","indexId":"ofr20141051","displayToPublicDate":"2014-03-14T14:36:00","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":"2014-1051","title":"Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk","docAbstract":"<p>Mercury (Hg) is a global contaminant and human activities have increased atmospheric Hg concentrations 3- to 5-fold during the past 150 years. This increased release into the atmosphere has resulted in elevated loadings to aquatic habitats where biogeochemical processes promote the microbial conversion of inorganic Hg to methylmercury, the bioavailable form of Hg. The physicochemical properties of Hg and its complex environmental cycle have resulted in some of the most remote and protected areas of the world becoming contaminated with Hg concentrations that threaten ecosystem and human health. The national park network in the United States is comprised of some of the most pristine and sensitive wilderness in North America. There is concern that via global distribution, Hg contamination could threaten the ecological integrity of aquatic communities in the parks and the wildlife that depends on them. In this study, we examined Hg concentrations in non-migratory freshwater fish in 86 sites across 21 national parks in the Western United States. We report Hg concentrations of more than 1,400 fish collected in waters extending over a 4,000 kilometer distance, from Alaska to the arid Southwest. Across all parks, sites, and species, fish total Hg (THg) concentrations ranged from 9.9 to 1,109 nanograms per gram wet weight (ng/g ww) with a mean of 77.7 ng/g ww. We found substantial variation in fish THg concentrations among and within parks, suggesting that patterns of Hg risk are driven by processes occurring at a combination of scales. Additionally, variation (up to 20-fold) in site-specific fish THg concentrations within individual parks suggests that more intensive sampling in some parks will be required to effectively characterize Hg contamination in western national parks.</p>\n<br/>\n<p>Across all fish sampled, only 5 percent had THg concentrations exceeding a benchmark (200 ng/g ww) associated with toxic responses within the fish themselves. However, Hg concentrations in 35 percent of fish sampled were above a benchmark for risk to highly sensitive avian consumers (90 ng/g ww), and THg concentrations in 68 percent of fish sampled were above exposure levels recommended by the Great Lakes Advisory Group (50 ng/g ww) for unlimited consumption by humans. Of the fish assessed for risk to human consumers (that is, species that are large enough to be consumed by recreational or subsistence anglers), only one individual fish from Yosemite National Park had a muscle Hg concentration exceeding the benchmark (950 ng/g ww) at which no human consumption is advised. Zion, Capital Reef, Wrangell-St. Elias, and Lake Clark National Parks all contained sites in which most fish exceeded benchmarks for the protection of human and wildlife health. This finding is particularly concerning in Zion and Capitol Reef National Parks because the fish from these parks were speckled dace, a small, invertebrate-feeding species, yet their Hg concentrations were as high or higher than those in the largest, long-lived predatory species, such as lake trout. Future targeted research and monitoring across park habitats would help identify patterns of Hg distribution across the landscape and facilitate management decisions aimed at reducing the ecological risk posed by Hg contamination in sensitive ecosystems protected by the National Park Service.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141051","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service, Air Resources Division","usgsCitation":"Eagles-Smith, C.A., Willacker, J.J., and Flanagan Pritz, C.M., 2014, Mercury in fishes from 21 national parks in the Western United States: inter- and intra-park variation in concentrations and ecological risk: U.S. Geological Survey Open-File Report 2014-1051, vi, 54 p., https://doi.org/10.3133/ofr20141051.","productDescription":"vi, 54 p.","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-053804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":284034,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141051.jpg"},{"id":284032,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1051/"},{"id":284033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1051/pdf/ofr2014-1051.pdf"}],"country":"United States","state":"Alaska;Arizona;California;Colorado;Idaho;Montana;Nevada;New Mexico;Oregon;Utah;Washington","otherGeospatial":"Captiol Reef;Crater Lake;Denali;Glacier;Glacier Bay;Grand Canyon;Grand Teton;Great Basin;Great Sand Dunes;Lake Clark;Lassen Volcanic;Mesa Verde;Mount Rainer;North Cascades;Olympic;Rocky Mountain;Sequoia-kings Canyon;Yellowstone;Yosemite;Zion","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -161.53,31.29 ], [ -161.53,68.24 ], [ -103.06,68.24 ], [ -103.06,31.29 ], [ -161.53,31.29 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd669be4b0b29085100dce","contributors":{"authors":[{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":491460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":491461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flanagan Pritz, Colleen M.","contributorId":64156,"corporation":false,"usgs":true,"family":"Flanagan Pritz","given":"Colleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491462,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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