{"pageNumber":"617","pageRowStart":"15400","pageSize":"25","recordCount":69036,"records":[{"id":70046671,"text":"70046671 - 2013 - Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum)","interactions":[],"lastModifiedDate":"2016-01-20T13:29:40","indexId":"70046671","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum)","docAbstract":"<p>Early detection of aquatic invasive species is a critical task for management of aquatic ecosystems. This task is hindered by the difficulty and cost of surveying aquatic systems thoroughly. The New Zealand mudsnail (Potamopyrgus antipodarum) is a small, invasive parthenogenic mollusk that can reach very high population densities and severely affects ecosystem functioning. To assist in the early detection of this invasive species, we developed and validated a highly sensitive environmental deoxyribonucleic acid (eDNA) assay. We used a dose&ndash;response laboratory experiment to investigate the relationship between New Zealand mudsnail density and eDNA detected through time. We documented that as few as 1 individual in 1.5 L of water for 2 d could be detected with this method, and that eDNA from this species may remain detectable for 21 to 44 d after mudsnail removal. We used the eDNA method to confirm the presence of New Zealand mudsnail eDNA at densities as low as 11 to 144 snails/m<sup>2</sup> in a eutrophic 5<sup>th</sup>-order river. Combined, these results demonstrate the high potential for eDNA surveys to assist with early detection of a widely distributed invasive aquatic invertebrate.</p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Freshwater Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"The Society for Freshwater Science","doi":"10.1899/13-046.1","usgsCitation":"Goldberg, C.S., Sepulveda, A., Ray, A., Baumgardt, J.A., and Waits, L.P., 2013, Environmental DNA as a new method for early detection of New Zealand mudsnails (Potamopyrgus antipodarum): Freshwater Science, v. 32, no. 3, p. 792-800, https://doi.org/10.1899/13-046.1.","productDescription":"9 p.","startPage":"792","endPage":"800","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":274051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274050,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/13-046.1"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"32","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c567cee4b0c89b8f120df7","contributors":{"authors":[{"text":"Goldberg, Caren S.","contributorId":76879,"corporation":false,"usgs":false,"family":"Goldberg","given":"Caren","email":"","middleInitial":"S.","affiliations":[{"id":5132,"text":"Washington State University, Pullman","active":true,"usgs":false}],"preferred":false,"id":479976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam","contributorId":18659,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","affiliations":[],"preferred":false,"id":479974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":479978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baumgardt, Jeremy A.","contributorId":48853,"corporation":false,"usgs":false,"family":"Baumgardt","given":"Jeremy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479975,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":479977,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045411,"text":"70045411 - 2013 - Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics","interactions":[],"lastModifiedDate":"2018-03-05T17:09:06","indexId":"70045411","displayToPublicDate":"2013-06-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics","docAbstract":"<p>Geysers provide a natural laboratory to study multiphase eruptive processes. We present results from a four&ndash;day experiment at Lone Star Geyser in Yellowstone National Park, USA. We simultaneously measured water discharge, acoustic emissions, infraredintensity, and visible and infrared video to quantify the energetics and dynamics of eruptions, occurring approximately every three hours. We define four phases in the eruption cycle: 1) a 28&thinsp;&plusmn;&thinsp;3 minute phase with liquid and steam fountaining, with maximum jet velocities of 16&ndash;28&thinsp;m s<sup>&minus;&thinsp;1</sup>, steam mass fraction of less than &sim;&thinsp;0.01. Intermittently choked flow and flow oscillations with periods increasing from 20 to 40&thinsp;s are coincident with a decrease in jet velocity and an increase of steam fraction; 2) a 26&thinsp;&plusmn;&thinsp;8 minute post&ndash;eruption relaxation phase with no discharge from the vent, infrared (IR) and acoustic power oscillations gliding between 30 and 40&thinsp;s; 3) a 59&thinsp;&plusmn;&thinsp;13 minute recharge period during which the geyser is quiescent and progressively refills, and 4) a 69&thinsp;&plusmn;&thinsp;14 minute pre&ndash;play period characterized by a series of 5&ndash;10&thinsp;minute&ndash;long pulses of steam, small volumes of liquid water discharge and 50&ndash;70&thinsp;s flow oscillations. The erupted waters ascend froma 160&thinsp;&minus;&thinsp;170&deg; C reservoir and the volume discharged during the entire eruptive cycle is 20.8&thinsp;&plusmn;&thinsp;4.1 m<sup>3</sup>. Assuming isentropic expansion, we calculate a heat output from the geyser of 1.4&ndash;1.5&thinsp;MW, which is &lt;&thinsp;0.1% of the total heat output from Yellowstone Caldera.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/jgrb.50251","usgsCitation":"Karlstrom, L., Hurwitz, S., Sohn, R., Vandemeulebrouck, J., Murphy, F., Rudolph, M., Johnston, M.J., Manga, M., and McCleskey, R.B., 2013, Eruptions at Lone Star Geyser, Yellowstone National Park, USA, part 1: energetics and eruption dynamics: Journal of Geophysical Research B: Solid Earth, v. 118, no. 8, p. 4048-4062, https://doi.org/10.1002/jgrb.50251.","productDescription":"14 p.","startPage":"4048","endPage":"4062","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-045112","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":473735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgrb.50251","text":"Publisher Index Page"},{"id":274060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274059,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/jgrb.50251"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.69013547299005\n            ],\n            [\n              -110.57189941406249,\n              44.39454219215587\n            ],\n            [\n              -111.05804443359375,\n              44.39454219215587\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"118","issue":"8","noUsgsAuthors":false,"publicationDate":"2013-08-13","publicationStatus":"PW","scienceBaseUri":"51c567d3e4b0c89b8f120dfb","contributors":{"authors":[{"text":"Karlstrom, Leif","contributorId":23048,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[],"preferred":false,"id":477457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":477455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sohn, Robert","contributorId":51629,"corporation":false,"usgs":true,"family":"Sohn","given":"Robert","affiliations":[],"preferred":false,"id":477459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandemeulebrouck, Jean","contributorId":101973,"corporation":false,"usgs":true,"family":"Vandemeulebrouck","given":"Jean","email":"","affiliations":[],"preferred":false,"id":477461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Fred fmurphy@usgs.gov","contributorId":4572,"corporation":false,"usgs":true,"family":"Murphy","given":"Fred","email":"fmurphy@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rudolph, Maxwell L.","contributorId":42122,"corporation":false,"usgs":true,"family":"Rudolph","given":"Maxwell L.","affiliations":[],"preferred":false,"id":477458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnston, Malcolm J.S.","contributorId":105171,"corporation":false,"usgs":true,"family":"Johnston","given":"Malcolm","email":"","middleInitial":"J.S.","affiliations":[],"preferred":false,"id":477462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Manga, Michael","contributorId":66559,"corporation":false,"usgs":true,"family":"Manga","given":"Michael","affiliations":[],"preferred":false,"id":477460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":477454,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70046165,"text":"70046165 - 2013 - Emergence flux declines disproportionately to larval density along a stream metals gradient","interactions":[],"lastModifiedDate":"2013-08-12T09:33:00","indexId":"70046165","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Emergence flux declines disproportionately to larval density along a stream metals gradient","docAbstract":"Effects of contaminants on adult aquatic insect emergence are less well understood than effects on insect larvae. We compared responses of larval density and adult emergence along a metal contamination gradient. Nonlinear threshold responses were generally observed for larvae and emergers. Larval densities decreased significantly at low metal concentrations but precipitously at concentrations of metal mixtures above aquatic life criteria (Cumulative Criterion Accumulation Ratio (CCAR) ≥ 1). In contrast, adult emergence declined precipitously at low metal concentrations (CCAR ≤ 1), followed by a modest decline above this threshold. Adult emergence was a more sensitive indicator of the effect of low metals concentrations on aquatic insect communities compared to larvae, presumably because emergence is limited by a combination of larval survival and other factors limiting successful emergence. Thus effects of exposure to larvae are not manifest until later in life (during metamorphosis and emergence). This loss in emergence reduces prey subsidies to riparian communities at concentrations considered safe for aquatic life. Our results also challenge the widely held assumption that adult emergence is a constant proportion of larval densities in all streams.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","doi":"10.1021/es3051857","usgsCitation":"Schmidt, T., Kraus, J.M., Walters, D., and Wanty, R.B., 2013, Emergence flux declines disproportionately to larval density along a stream metals gradient: Environmental Science & Technology, v. 47, no. 15, p. 8784-8792, https://doi.org/10.1021/es3051857.","productDescription":"9 p.","startPage":"8784","endPage":"8792","ipdsId":"IP-045570","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":274042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274041,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es3051857"}],"volume":"47","issue":"15","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42211e4b03c77dce65a0f","contributors":{"authors":[{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":479077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, David M.","contributorId":76590,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","affiliations":[],"preferred":false,"id":479079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wanty, Richard B. 0000-0002-2063-6423 rwanty@usgs.gov","orcid":"https://orcid.org/0000-0002-2063-6423","contributorId":443,"corporation":false,"usgs":true,"family":"Wanty","given":"Richard","email":"rwanty@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479076,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046670,"text":"sir20125280 - 2013 - Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007","interactions":[],"lastModifiedDate":"2017-01-25T10:39:11","indexId":"sir20125280","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5280","title":"Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007","docAbstract":"<p>Toll Gate Creek is a perennial stream draining a suburban area in Aurora, Colorado, where selenium concentrations have consistently exceeded the State of Colorado aquatic-life standard for selenium of 4.6 micrograms per liter since the early 2000s. In cooperation with the City of Aurora, Colorado, Utilities Department, a synoptic water-quality study was performed along an 18-kilometer reach of Toll Gate Creek extending from downstream from Quincy Reservoir to the confluence with Sand Creek to develop a detailed understanding of streamflow and concentrations and loads of selenium in Toll Gate Creek. Streamflow and surface-water quality were characterized for summer low-flow conditions (July–August 2007) using four spatially overlapping synoptic-sampling subreaches. Mass-balance methods were applied to the synoptic-sampling and tracer-injection results to estimate streamflow and develop spatial profiles of concentration and load for selenium and other chemical constituents in Toll Gate Creek surface water. Concurrent groundwater sampling determined concentrations of selenium and other chemical constituents in groundwater in areas surrounding the Toll Gate Creek study reaches. Multivariate principal-component analysis was used to group samples and to suggest common sources for dissolved selenium and major ions. Hydrogen and oxygen stable-isotope ratios, groundwater-age interpretations, and chemical analysis of water-soluble paste extractions from core samples are presented, and interpretation of the hydrologic and geochemical data support conclusions regarding geologic sources of selenium and the processes affecting selenium loading in the Toll Gate Creek watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125280","collaboration":"Prepared in cooperation with the City of Aurora, Colorado, Utilities Department","usgsCitation":"Paschke, S.S., Runkel, R.L., Walton-Day, K., Kimball, B.A., and Schaffrath, K.R., 2013, Streamflow and water-quality conditions including geologic sources and processes affecting selenium loading in the Toll Gate Creek watershed, Aurora, Arapahoe County, Colorado, 2007: U.S. Geological Survey Scientific Investigations Report 2012-5280, ix, 108 p., https://doi.org/10.3133/sir20125280.","productDescription":"ix, 108 p.","numberOfPages":"121","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-07-01","temporalEnd":"2007-08-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":274045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125280.gif"},{"id":274043,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5280/"},{"id":274044,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5280/SIR12-5280_508.pdf"}],"country":"United States","state":"Colorado","county":"Arapahoe County","city":"Aurora","otherGeospatial":"Toll Gate Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.8848,39.551 ], [ -104.8848,39.8267 ], [ -104.4889,39.8267 ], [ -104.4889,39.551 ], [ -104.8848,39.551 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42213e4b03c77dce65a2b","contributors":{"authors":[{"text":"Paschke, Suzanne S.","contributorId":14072,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":479972,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walton-Day, Katherine 0000-0002-9146-6193","orcid":"https://orcid.org/0000-0002-9146-6193","contributorId":68339,"corporation":false,"usgs":true,"family":"Walton-Day","given":"Katherine","affiliations":[],"preferred":false,"id":479973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kimball, Briant A. bkimball@usgs.gov","contributorId":533,"corporation":false,"usgs":true,"family":"Kimball","given":"Briant","email":"bkimball@usgs.gov","middleInitial":"A.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schaffrath, Keelin R.","contributorId":7552,"corporation":false,"usgs":true,"family":"Schaffrath","given":"Keelin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":479971,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046210,"text":"70046210 - 2013 - Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA","interactions":[],"lastModifiedDate":"2017-07-01T17:25:24","indexId":"70046210","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA","docAbstract":"The hydrology of wetland ecosystems is a key driver of both mercury (Hg) methylation and waterbird foraging ecology, and hence may play a fundamental role in waterbird exposure and risk to Hg contamination. However, few studies have investigated hydrological factors that influence waterbird Hg exposure. We examined how several landscape-level hydrological variables influenced Hg concentrations in great egret and white ibis adults and chicks in the Florida Everglades. The great egret is a visual “exploiter” species that tolerates lower prey densities and is less sensitive to hydrological conditions than is the white ibis, which is a tactile “searcher” species that pursues higher prey densities in shallow water. Mercury concentrations in adult great egrets were most influenced by the spatial region that they occupied in the Everglades (higher in the southern region); whereas the number of days a site was dry during the previous dry season was the most important factor influencing Hg concentrations in adult ibis (Hg concentrations increased with the number of days dry). In contrast, Hg concentrations in egret chicks were most influenced by calendar date (increasing with date), whereas Hg concentrations in ibis chicks were most influenced by chick age, region, and water recession rate (Hg concentrations decreased with age, were higher in the southern regions, and increased with positive water recession rates). Our results indicate that both recent (preceding two weeks) hydrological conditions, and those of the prior year, influence Hg concentrations in wading birds. Further, these results suggest that Hg exposure in wading birds is driven by complex relationships between wading bird behavior and life stage, landscape hydrologic patterns, and biogeochemical processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Science of the Total Environment","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2013.04.036","usgsCitation":"Herring, G., Eagles-Smith, C.A., Ackerman, J., Gawlik, D.E., and Beerens, J., 2013, Landscape factors and hydrology influence mercury concentrations in wading birds breeding in the Florida Everglades, USA: Science of the Total Environment, v. 458-460, p. 637-646, https://doi.org/10.1016/j.scitotenv.2013.04.036.","productDescription":"10 p.","startPage":"637","endPage":"646","ipdsId":"IP-044906","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":274022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274021,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.scitotenv.2013.04.036"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5183,24.85 ], [ -81.5183,25.8899 ], [ 80.3887,25.8899 ], [ 80.3887,24.85 ], [ -81.5183,24.85 ] ] ] } } ] }","volume":"458-460","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42213e4b03c77dce65a23","contributors":{"authors":[{"text":"Herring, Garth 0000-0003-1106-4731 gherring@usgs.gov","orcid":"https://orcid.org/0000-0003-1106-4731","contributorId":4403,"corporation":false,"usgs":true,"family":"Herring","given":"Garth","email":"gherring@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":479173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":479172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":479176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawlik, Dale E.","contributorId":88055,"corporation":false,"usgs":true,"family":"Gawlik","given":"Dale","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":479175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beerens, James M. 0000-0001-8143-916X","orcid":"https://orcid.org/0000-0001-8143-916X","contributorId":25440,"corporation":false,"usgs":false,"family":"Beerens","given":"James M.","affiliations":[],"preferred":false,"id":479174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046667,"text":"ofr20131050 - 2013 - Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","interactions":[],"lastModifiedDate":"2013-06-20T08:43:21","indexId":"ofr20131050","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1050","title":"Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008","docAbstract":"The levee system of the lower American River in Sacramento, California, is situated above a mixed lithology of alluvial deposits that range from clay to gravel. In addition, sand deposits related to hydraulic mining activities underlie the floodplain and are preferentially prone to scour during high-flow events. In contrast, sections of the American River channel have been observed to be scour resistant. In this study, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, explores the resistivity structure of the American River channel to characterize the extent and thickness of lithologic units that may impact the scour potential of the area. Likely lithologic structures are interpreted, but these interpretations are non-unique and cannot be directly related to scour potential. Additional geotechnical data would provide insightful data on the scour potential of certain lithologic units. Additional interpretation of the resistivity data with respect to these results may improve interpretations of lithology and scour potential throughout the American River channel and floodplain.\n\nResistivity data were collected in three profiles along the American River using a water-borne continuous resistivity profiling technique. After processing and modeling these data, inverted resistivity profiles were used to make interpretations about the extent and thickness of possible lithologic units. In general, an intermittent high-resistivity layer likely indicative of sand or gravel deposits extends to a depth of around 30 feet (9 meters) and is underlain by a consistent low-resistivity layer that likely indicates a high-clay content unit that extends below the depth of investigation (60 feet or 18 meters). Immediately upstream of the Watt Avenue Bridge, the high-resistivity layer is absent, and the low-resistivity layer extends to the surface where a scour-resistant layer has been previously observed in the river bed.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131050","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Sacramento District","usgsCitation":"Ball, L.B., and Teeple, A., 2013, Characterization of major lithologic units underlying the lower American River using water-borne continuous resistivity profiling, Sacramento, California, June 2008: U.S. Geological Survey Open-File Report 2013-1050, iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches, https://doi.org/10.3133/ofr20131050.","productDescription":"iv, 13 p.; Maps: 5 Sheets: 45 x 22 inches","numberOfPages":"17","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2008-06-01","temporalEnd":"2008-07-01","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":274013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131050.gif"},{"id":274006,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1050/"},{"id":274007,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1050/OF13-1050.pdf"},{"id":274008,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate1.pdf"},{"id":274009,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate2.pdf"},{"id":274010,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate3.pdf"},{"id":274011,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate4.pdf"},{"id":274012,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2013/1050/plate5.pdf"}],"country":"United States","state":"California","city":"Sacramento","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.433333,38.55 ], [ -121.433333,38.591667 ], [ -121.333333,38.591667 ], [ -121.333333,38.55 ], [ -121.433333,38.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42210e4b03c77dce65a03","contributors":{"authors":[{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":479958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teeple, Andrew   0000-0003-1781-8354 apteeple@usgs.gov","orcid":"https://orcid.org/0000-0003-1781-8354","contributorId":1399,"corporation":false,"usgs":true,"family":"Teeple","given":"Andrew  ","email":"apteeple@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479959,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046668,"text":"ofr20131128 - 2013 - Internal nutrient sources and nutrient distributions in Alviso Pond A3W, California","interactions":[],"lastModifiedDate":"2017-08-23T09:14:48","indexId":"ofr20131128","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1128","title":"Internal nutrient sources and nutrient distributions in Alviso Pond A3W, California","docAbstract":"Within the Alviso Salt Pond complex, California, currently undergoing avian-habitat restoration, pore-water profilers (U.S. Patent 8,051,727 B1) were deployed in triplicate at two contrasting sites in Pond A3W (“Inlet”, near the inflow, and “Deep”, near the middle of the pond; figs. 1 and 2; table 1, note that tables in this report are provided online only as a .xlsx workbook at http://pubs.usgs.gov/of/2013/1128/). Deployments were conducted in 2010 and 2012 during the summer algal-growth season. Specifically, three deployments, each about 7 weeks apart, were undertaken each summer. This study provides the first measurements of the diffusive flux of nutrients across the interface between the pond bed and water column (that is, benthic nutrient flux). These nutrient fluxes are crucial to pond restoration efforts because they typically represent a major (if not the greatest) source of nutrients to the water column in both ponds and other lentic systems.\n\nFor soluble reactive phosphorus (SRP, the most biologically available form in solution), benthic flux was positive both years (that is, out of the sediment into the water column; table 2), with the exception of the August 2010 deployment, which exhibited nearly negligible but negative flux. Overall, the average SRP flux was significantly greater at Deep (23.9 ± 8.6 micromoles per square meter per hour (µmol-m<sup>-2</sup>-h<sup>-1</sup>); all errors shown reflect the 95-percent confidence interval) than Inlet (12.6 ± 4.9 µmol-m<sup>-2</sup>-h<sup>-1</sup>). There was much greater temporal variability in SRP flux in the pond than reported for the lower estuary (Topping and others, 2001).\n\nFor dissolved ammonia, benthic flux was consistently positive on all six sampling trips, and similar to SRP, the fluxes at Deep (258 ± 49 µmol-m<sup>-2</sup>-h<sup>-1</sup>) were consistently greater than those at Inlet (28 ± 11 µmol-m<sup>-2</sup>-h<sup>-1</sup>). Dissolved ammonia fluxes reported for South San Francisco Bay by Topping and others (2001) fall in between these values. Once again, greater variability for benthic fluxes determined in the pond was observed relative to adjacent South San Francisco Bay. With the near absence of any measurable concentration gradient, dissolved-nitrate fluxes were consistently negligible in the pond.\n\nSilica fluxes are often used to represent sediment diagenetic processes that biogeochemically cycle silica (an important algal macronutrient) between biogenic and inorganic phases (Fanning and Pilson, 1974; Emerson and others, 1984). For South San Francisco Bay, those values are consistently positive from core-incubation experiments. In Pond A3W, dissolved-silica fluxes averaged 49 ± 25 µmol-m<sup>-2</sup>-h<sup>-1</sup> at Inlet and were much higher at Deep (482 ± 370 µmol-m<sup>-2</sup>-h<sup>-1</sup>), similar to the spatially variability observed for SRP and dissolved ammonia. An elevated silica flux can stimulate diatom production and subsequent eutrophication effects. Variability in these silica fluxes is consistent with season patterns in pond primary productivity.\n\nOn the basis of comparisons of dissolved-oxygen flux measurements by profilers and core incubations, it appears that diffusive flux estimates for the sediment in this pond, as one might expected in such benthically productive environments, result in a significant underestimation of true sediment oxygen demand. Therefore, a core incubation experiment was conducted to better quantify the demand.\n\nTo complement these benthic-flux studies, a diurnal study of nutrient advective flux into and out of the pond was measured during neap and spring tides to provide comparative estimates for allochthonous solute transport (Garret, 2012). Using the two different tides as the probable upper and lower boundaries, we can estimate a range of probable values throughout the year. After converting this advective flux into kg/yr, we can compare it directly to benthic flux estimates for the pond extrapolated over the 2.27 square kilometer (km<sup>2</sup>) pond surface. Benthic flux of nitrogen species, averaged over all sites and dates, was about 80,000 kilograms per year (kg/yr), well above the adjective flux range of -50 to 1,500 kg/yr. By contrast, the average benthic flux of orthophosphate was about 12,000 kg/yr, well below the advective flux range of 21,500 to 30,000 kg/yr.\n\nInitial benthic flux estimates were also made for trace metals, including copper, nickel, iron, and manganese. These analyses indicated that the two sites, Inlet and Deep, have different pore-water profiles, with Inlet exhibiting much higher benthic flux estimates for nickel, iron, and manganese.\n\nThese initial benthic-flux values reported for macronutrients are particularly impressive in magnitude when one considers that diffusive flux of dissolved solutes based on pore-water profiles provides a conservative determination that may be enhanced by other biogeochemical processes. These enhancement processes (Boudreau and Jorgensen, 2001) include bioturbation, bioirrigation, wind resuspension, and potential groundwater inflows, some of which are captured in core-incubation experiments (Kuwabara and others, 2009). Hence, the values reported herein represent lower bounds to indicate the potential importance of such internal solute sources. The elevated diffusive fluxes for nutrients in the pond relative to the adjacent estuary indicate that vertical nutrient transport between the pond bed and water column is consistently an important (and at times the most important) source of nutrients that stimulate phytoplankton growth in the water column. One might therefore reasonably hypothesize that this benthic transport of biologically reactive solutes (both nutrients and toxicants) represents the most important step at the base of the food web for trophic transfer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131128","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Topping, B.R., Kuwabara, J.S., Garrett, K.K., Takekawa, J.Y., Parcheso, F., Piotter, S., Clearwater, I., and Shellenbarger, G., 2013, Internal nutrient sources and nutrient distributions in Alviso Pond A3W, California: U.S. Geological Survey Open-File Report 2013-1128, iv, 17 p., https://doi.org/10.3133/ofr20131128.","productDescription":"iv, 17 p.","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":274017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131128.gif"},{"id":274016,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1128/of2013-1128_tables.xlsx"},{"id":274014,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1128/"},{"id":274015,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1128/of2013-1128_text.pdf"}],"country":"United States","state":"California","city":"San Jose","otherGeospatial":"Alviso","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0912,37.3685 ], [ -122.0912,37.5088 ], [ -121.8669,37.5088 ], [ -121.8669,37.3685 ], [ -122.0912,37.3685 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42212e4b03c77dce65a1f","contributors":{"authors":[{"text":"Topping, Brent R. 0000-0002-7887-4221 btopping@usgs.gov","orcid":"https://orcid.org/0000-0002-7887-4221","contributorId":1484,"corporation":false,"usgs":true,"family":"Topping","given":"Brent","email":"btopping@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":479962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuwabara, James S. 0000-0003-2502-1601 kuwabara@usgs.gov","orcid":"https://orcid.org/0000-0003-2502-1601","contributorId":3374,"corporation":false,"usgs":true,"family":"Kuwabara","given":"James","email":"kuwabara@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":479964,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garrett, Krista K.","contributorId":54094,"corporation":false,"usgs":true,"family":"Garrett","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":479966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":479961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parcheso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":2590,"corporation":false,"usgs":true,"family":"Parcheso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":479963,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piotter, Sara","contributorId":43464,"corporation":false,"usgs":true,"family":"Piotter","given":"Sara","affiliations":[],"preferred":false,"id":479965,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clearwater, Iris","contributorId":97406,"corporation":false,"usgs":true,"family":"Clearwater","given":"Iris","email":"","affiliations":[],"preferred":false,"id":479967,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shellenbarger, Gregory gshellen@usgs.gov","contributorId":1133,"corporation":false,"usgs":true,"family":"Shellenbarger","given":"Gregory","email":"gshellen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479960,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046463,"text":"70046463 - 2013 - Endozoochory of seeds and invertebrates by migratory waterbirds in Oklahoma, USA","interactions":[],"lastModifiedDate":"2013-06-20T13:28:31","indexId":"70046463","displayToPublicDate":"2013-06-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2619,"text":"Limnetica","active":true,"publicationSubtype":{"id":10}},"title":"Endozoochory of seeds and invertebrates by migratory waterbirds in Oklahoma, USA","docAbstract":"Given their abundance and migratory behavior, waterbirds have major potential for dispersing plants and invertebrates within North America, yet their role as vectors remains poorly understood. We investigated the numbers and types of invertebrates and seeds within freshly collected faecal samples (n = 22) of migratory dabbling ducks and shorebirds in November 2008 in two parts of Lake Texoma in southern Oklahoma. Killdeer Charadrius vociferus were transporting a higher number and diversity of both plants and invertebrates than the green-winged teal Anas carolinensis. Ten plant taxa and six invertebrate taxa were identified to at least genus level, although viability was not confirmed for most of these taxa. Bryozoan statoblasts (from four species not previously recorded from Oklahoma) were especially abundant in killdeer faeces, while the ostracod Candona simpsoni was detected as a live adult in torpor in the teal faeces. Cyperaceae and Juncaceae were the most abundant plant families represented and Cyperus strigosus seeds germinated after extraction from killdeer faeces. This snapshot study underlines the importance of waterbirds as vectors of passive dispersal of many organisms and the need for more research in this discipline.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnetica","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Asociación Ibérica de Limnología","usgsCitation":"Green, A.J., Frisch, D., Michot, T.C., Allain, L.K., and Barrow, W., 2013, Endozoochory of seeds and invertebrates by migratory waterbirds in Oklahoma, USA: Limnetica, v. 32, no. 1, p. 39-46.","productDescription":"8 p.","startPage":"39","endPage":"46","ipdsId":"IP-035870","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":274047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":274046,"type":{"id":11,"text":"Document"},"url":"https://www.limnetica.com/fulltext/Limnetica_32v1_2013.pdf"}],"country":"United States","state":"Oklahoma","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -103.0,33.62 ], [ -103.0,37.0 ], [ -94.43,37.0 ], [ -94.43,33.62 ], [ -103.0,33.62 ] ] ] } } ] }","volume":"32","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c42211e4b03c77dce65a13","contributors":{"authors":[{"text":"Green, Andy J.","contributorId":30531,"corporation":false,"usgs":true,"family":"Green","given":"Andy","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frisch, Dagmar","contributorId":91004,"corporation":false,"usgs":true,"family":"Frisch","given":"Dagmar","email":"","affiliations":[],"preferred":false,"id":479701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michot, Thomas C. 0000-0002-7044-987X","orcid":"https://orcid.org/0000-0002-7044-987X","contributorId":57935,"corporation":false,"usgs":true,"family":"Michot","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":479700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allain, Larry K. 0000-0002-7717-9761 allainl@usgs.gov","orcid":"https://orcid.org/0000-0002-7717-9761","contributorId":2414,"corporation":false,"usgs":true,"family":"Allain","given":"Larry","email":"allainl@usgs.gov","middleInitial":"K.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":479698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":479697,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046666,"text":"sir20135114 - 2013 - A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges","interactions":[],"lastModifiedDate":"2013-06-19T09:25:29","indexId":"sir20135114","displayToPublicDate":"2013-06-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5114","title":"A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges","docAbstract":"Many wetland impoundments managed by the U.S. Fish and Wildlife Service (USFWS) National Wildlife Refuge System throughout the northern Great Plains rely on rivers as a primary water source. A large number of these impoundments currently are being stressed from changes in water supplies and quality, and these problems are forecast to worsen because of projected changes to climate and land use. For example, many managed wetlands in arid regions have become degraded owing to the long-term accumulation of salts and increased salinity associated with evapotranspiration. A primary goal of the USFWS is to provide aquatic habitats for a diversity of waterbirds; thus, wetland managers would benefit from a tool that facilitates evaluation of wetland habitat quality in response to current and anticipated impacts of altered hydrology and salt balances caused by factors such as climate change, water availability, and management actions.\n\nA spreadsheet model that simulates the overall water and salinity balance (WSB model) of managed wetland impoundments is presented. The WSB model depicts various habitat metrics, such as water depth, salinity, and surface areas (inundated, dry), which can be used to evaluate alternative management actions under various water-availability and climate scenarios. The WSB model uses widely available spreadsheet software, is relatively simple to use, relies on widely available inputs, and is readily adaptable to specific locations. The WSB model was validated using data from three National Wildlife Refuges with direct and indirect connections to water resources associated with rivers, and common data limitations are highlighted. The WSB model also was used to conduct simulations based on hypothetical climate and management scenarios to demonstrate the utility of the model for evaluating alternative management strategies and climate futures. The WSB model worked well across a range of National Wildlife Refuges and could be a valuable tool for USFWS staff when evaluating system state and management alternatives and establishing long-term goals and objectives.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135114","usgsCitation":"Tangen, B., Gleason, R.A., and Stamm, J., 2013, A model for evaluating effects of climate, water availability, and water management on wetland impoundments--a case study on Bowdoin, Long Lake, and Sand Lake National Wildlife Refuges: U.S. Geological Survey Scientific Investigations Report 2013-5114, vi, 37 p.; WSB Model, https://doi.org/10.3133/sir20135114.","productDescription":"vi, 37 p.; WSB Model","numberOfPages":"48","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":273995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135114.jpg"},{"id":273994,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5114/WSB%20Model.xlsx"},{"id":273992,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5114/"},{"id":273993,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5114/sir2013-5114.pdf"}],"country":"United States","otherGeospatial":"Bowdoin National Wildlife Refuge;Long Lake National Wildlife Refuge;Sand Lake National Wildlife Refuge","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.8,45.6 ], [ -107.8,48.533333 ], [ -98.0,48.533333 ], [ -98.0,45.6 ], [ -107.8,45.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c2c4cde4b08857aac42378","contributors":{"authors":[{"text":"Tangen, Brian A.","contributorId":78419,"corporation":false,"usgs":true,"family":"Tangen","given":"Brian A.","affiliations":[],"preferred":false,"id":479957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":479955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stamm, John F. 0000-0002-3404-2933 jstamm@usgs.gov","orcid":"https://orcid.org/0000-0002-3404-2933","contributorId":2859,"corporation":false,"usgs":true,"family":"Stamm","given":"John F.","email":"jstamm@usgs.gov","affiliations":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479956,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046665,"text":"sir20135110 - 2013 - Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011","interactions":[],"lastModifiedDate":"2013-06-18T16:20:48","indexId":"sir20135110","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5110","title":"Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011","docAbstract":"Peak-flow frequency analyses were completed for 409 streamgages in and bordering Minnesota having at least 10 systematic peak flows through water year 2011. Selected annual exceedance probabilities were determined by fitting a log-Pearson type III probability distribution to the recorded annual peak flows. A detailed explanation of the methods that were used to determine the annual exceedance probabilities, the historical period, acceptable low outliers, and analysis method for each streamgage are presented. The final results of the analyses are presented.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135110","collaboration":"Prepared in cooperation with the Minnesota Department of Transportation","usgsCitation":"Kessler, E.W., Lorenz, D.L., and Sanocki, C.A., 2013, Methods and results of peak-flow frequency analyses for streamgages in and bordering Minnesota, through water year 2011: U.S. Geological Survey Scientific Investigations Report 2013-5110, Report: iv, 46 p.; Downloads Directory, https://doi.org/10.3133/sir20135110.","productDescription":"Report: iv, 46 p.; Downloads Directory","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":273988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135110.gif"},{"id":273985,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5110/sir2013-5110.pdf"},{"id":273986,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5110/"},{"id":273987,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2013/5110/downloads/"}],"projection":"Universal Transverse Mercator projection, Zone 15","datum":"North American Datum of 1983","country":"United States","state":"Minnesota","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98,0.0011111111111111111 ], [ -98,0.001388888888888889 ], [ -91,0.001388888888888889 ], [ -91,0.0011111111111111111 ], [ -98,0.0011111111111111111 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1735ae4b0dd0e00d9219b","contributors":{"authors":[{"text":"Kessler, Erich W. 0000-0002-0869-4743 ekessler@usgs.gov","orcid":"https://orcid.org/0000-0002-0869-4743","contributorId":2871,"corporation":false,"usgs":true,"family":"Kessler","given":"Erich","email":"ekessler@usgs.gov","middleInitial":"W.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanocki, Christopher A.","contributorId":100432,"corporation":false,"usgs":true,"family":"Sanocki","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":479954,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70046645,"text":"ofr20131126 - 2013 - Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","interactions":[],"lastModifiedDate":"2016-08-19T17:40:08","indexId":"ofr20131126","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1126","title":"Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010","docAbstract":"<p>Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing unconventional hydrocarbon-rich geologic formations, have led to an intense effort to find and extract natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Somerset County and Westmoreland County in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131126","usgsCitation":"Milheim, L., Slonecker, E., Roig-Silva, C., and Malizia, A., 2013, Landscape consequences of natural gas extraction in Somerset and Westmoreland Counties, Pennsylvania,2004--2010: U.S. Geological Survey Open-File Report 2013-1126, v, 34 p., https://doi.org/10.3133/ofr20131126.","productDescription":"v, 34 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":273926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131126.gif"},{"id":273898,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1126"},{"id":273899,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1126/ofr2013-1126.pdf","text":"Report","size":"4.25 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A.R.","contributorId":98991,"corporation":false,"usgs":true,"family":"Malizia","given":"A.R.","email":"","affiliations":[],"preferred":false,"id":479926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70046638,"text":"sir20135085 - 2013 - Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012","interactions":[],"lastModifiedDate":"2016-08-24T12:20:56","indexId":"sir20135085","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5085","title":"Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012","docAbstract":"<p>Water samples were collected from 20 domestic wells during August and September 2012 and analyzed for 47&nbsp;constituents and properties, including nutrients, major ions, metals and trace elements, radioactivity, and dissolved gases, including methane and radon-222. This study, done in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey (Pennsylvania Geological Survey), provides a groundwater-quality baseline for central and southern Sullivan County prior to drilling for natural gas in the Marcellus&nbsp;Shale.</p>\n<p>The analytical results for the 20&nbsp;groundwater samples collected during this study indicate that only one constituent (gross-alpha radioactivity) in one sample was found to exceed the U.S. Environmental Protection Agency (USEPA) primary drinking water maximum contaminant level (MCL). Water samples from 85&nbsp;percent of the sampled wells exceeded the proposed USEPA MCL of 300&nbsp;picocuries per liter (pCi/L) for radon-222; however, only two water samples (10&nbsp;percent of sampled wells) exceeded the proposed USEPA alternate maximum contaminant level (AMCL) of 4,000&nbsp;pCi/L for radon-222. In a few samples, the concentrations of total dissolved solids, iron, manganese, and chloride exceeded USEPA secondary maximum contaminant levels (SMCL). In addition, water samples from two wells contained methane concentrations greater than 1&nbsp;milligram per liter&nbsp;(mg/L).</p>\n<p>In general, most of the water-quality problems involve aesthetic considerations, such as taste or odor from elevated concentrations of total dissolved solids, iron, manganese, and chloride that develop from natural interactions of water and rock minerals in the subsurface. The total dissolved solids concentration ranged from 31 to 664&nbsp;mg/L; the median was 130&nbsp;mg/L. The total dissolved solids concentration in one water sample exceeded the USEPA SMCL of 500&nbsp;mg/L. Chloride concentrations ranged from 0.59 to 342&nbsp;mg/L; the median was 12.9&nbsp;mg/L. The concentration of chloride in one water sample exceeded the USEPA SMCL of 250&nbsp;mg/L. Concentrations of dissolved iron ranged from less than 3.2 to 6,590&nbsp;micrograms per liter (&micro;g/L); the median was 11.5&nbsp;&micro;g/L. The iron concentration in samples from 20&nbsp;percent of the sampled wells exceeded the USEPA SMCL of 300&nbsp;&micro;g/L. Concentrations of dissolved manganese ranged from less than 0.13 to 1,710&nbsp;&micro;g/L; the median was 38.5&nbsp;&micro;g/L. The manganese concentration in samples from 35&nbsp;percent of the sampled wells exceeded the USEPA SMCL of&nbsp;50&nbsp;&micro;g/L.</p>\n<p>Activities of radon-222 ranged from 169 to 15,300&nbsp;picocuries per liter (pCi/L); the median was 990&nbsp;pCi/L. The gross alpha-particle radioactivity ranged from below detection to 33&nbsp;pCi/L; the median was 1.5&nbsp;pCi/L. The gross alpha-particle radioactivity of one water sample exceeded the USEPA MCL of&nbsp;15&nbsp;pCi/L.</p>\n<p>Concentrations of dissolved methane ranged from less than 0.001 to 51.1&nbsp;mg/L. Methane was not detected in water samples from 13&nbsp;wells, and the methane concentration was less than 0.07&nbsp;mg/L in samples from five wells. The highest dissolved methane concentrations were 4.1 and 51.1&nbsp;mg/L, and the pH of the water from both wells was greater than 8. Water samples from these wells were analyzed for isotopes of carbon and hydrogen in the methane. The isotopic ratio values fell in the range for a thermogenic (natural gas) source. The water samples from these two wells had the highest concentrations of arsenic, boron, bromide, chloride, fluoride, lithium, molybdenum, and sodium of the 20&nbsp;wells&nbsp;sampled.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135085","collaboration":"Prepared in cooperation with the Pennsylvania Department of Conservation and Natural Resources, Bureau of Topographic and Geologic Survey","usgsCitation":"Sloto, R.A., 2013, Baseline groundwater quality from 20 domestic wells in Sullivan County, Pennsylvania, 2012: U.S. Geological Survey Scientific Investigations Report 2013-5085, vi, 27 p., https://doi.org/10.3133/sir20135085.","productDescription":"vi, 27 p.","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-08-01","temporalEnd":"2013-09-30","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":273887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135085.png"},{"id":273883,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5085/"},{"id":273884,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5085/support/sir2013-5085.pdf","text":"Report","size":"3.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Pennsylvania","county":"Sullivan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-76.2217,41.5447],[-76.225,41.5312],[-76.2277,41.5203],[-76.2322,41.5058],[-76.2527,41.4552],[-76.2732,41.4045],[-76.2829,41.3778],[-76.2962,41.3485],[-76.3097,41.3109],[-76.4076,41.3095],[-76.4472,41.2772],[-76.4673,41.2805],[-76.4942,41.2848],[-76.5143,41.2882],[-76.5271,41.2914],[-76.5454,41.297],[-76.5587,41.3007],[-76.574,41.3027],[-76.5954,41.3069],[-76.6045,41.312],[-76.6154,41.3193],[-76.673,41.3578],[-76.7514,41.4087],[-76.7609,41.4373],[-76.7669,41.4546],[-76.7686,41.4605],[-76.7693,41.461],[-76.7722,41.4714],[-76.7746,41.4778],[-76.7782,41.4878],[-76.7817,41.5001],[-76.7901,41.5224],[-76.7913,41.5255],[-76.7919,41.5278],[-76.7931,41.531],[-76.8002,41.5519],[-76.8104,41.5801],[-76.811,41.5815],[-76.8133,41.5901],[-76.8103,41.5896],[-76.8005,41.5887],[-76.7949,41.5882],[-76.787,41.5872],[-76.7569,41.5839],[-76.7496,41.5834],[-76.6993,41.5795],[-76.6938,41.579],[-76.679,41.578],[-76.6619,41.5765],[-76.6478,41.5755],[-76.6367,41.5745],[-76.5975,41.5715],[-76.5,41.5649],[-76.4454,41.5608],[-76.3277,41.5526],[-76.2487,41.5468],[-76.2432,41.5463],[-76.2383,41.5458],[-76.2217,41.5447]]]},\"properties\":{\"name\":\"Sullivan\",\"state\":\"PA\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c1734ee4b0dd0e00d92173","contributors":{"authors":[{"text":"Sloto, Ronald A. rasloto@usgs.gov","contributorId":424,"corporation":false,"usgs":true,"family":"Sloto","given":"Ronald","email":"rasloto@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479916,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70045025,"text":"70045025 - 2013 - Development of MODFLOW-USG: an un-structured grid version of MODFLOW","interactions":[],"lastModifiedDate":"2013-06-18T15:58:12","indexId":"70045025","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2015,"text":"International Association of Hydrogeologists Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Development of MODFLOW-USG: an un-structured grid version of MODFLOW","docAbstract":"MODFLOW was revolutionary when it was first unveiled by the USGS in 1988, and since then it has been the most widely used groundwater flow modeling program in the world. MODFLOW’s simulation capabilities have evolved substantially since its initial release and it has been an inspiration for more comprehensive analysis simulators including surface-water/groundwater interaction models (e.g., GSFLOW, SWF, MODHMS, ISGW), flow and transport analysis simulators (e.g., MT3D, MODFLOWSURFACT, MODFLOW-T), and saltwater intrusion models (e.g., SEAWAT).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Association of Hydrogeologists Newsletter","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"International Association of Hydrogeologists","usgsCitation":"Panday, S., 2013, Development of MODFLOW-USG: an un-structured grid version of MODFLOW: International Association of Hydrogeologists Newsletter, v. 42, no. 1, p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-044827","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":273968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273964,"type":{"id":11,"text":"Document"},"url":"https://www.iah.org/usa/spring2013.pdf"}],"volume":"42","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17356e4b0dd0e00d92177","contributors":{"authors":[{"text":"Panday, Sorab","contributorId":100513,"corporation":false,"usgs":true,"family":"Panday","given":"Sorab","affiliations":[],"preferred":false,"id":476640,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046641,"text":"sir20135106 - 2013 - Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","interactions":[],"lastModifiedDate":"2016-07-20T12:37:04","indexId":"sir20135106","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5106","title":"Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability","docAbstract":"<p>If the invasive Asian carps (bighead carp&nbsp;<i>Hypophthalmichthys nobilis</i>&nbsp;and silver carp&nbsp;<i>Hypophthalmichthys molitrix</i>) migrate to the Great Lakes, in spite of the efforts to stop their advancement, these species will require the fast-flowing water of the Great Lakes tributaries for spawning and recruitment in order to establish a growing population. Two Lake Michigan tributaries (the Milwaukee and St. Joseph Rivers) and two Lake Erie tributaries (the Maumee and Sandusky Rivers) were investigated to determine if these tributaries possess the hydraulic and water-quality characteristics to allow successful spawning of Asian carps. To examine this issue, standard U.S.&nbsp;Geological Survey sampling protocols and instrumentation for discharge and water-quality measurements were used, together with differential global positioning system data for georeferencing. Non-standard data-processing techniques, combined with detailed laboratory analysis of Asian carp egg characteristics, allowed an assessment of the transport capabilities of each of these four tributaries. This assessment is based solely on analysis of observed data and did not utilize the collected data for detailed transport modeling.</p>\n<p>All four tributaries exhibited potential settling zones for Asian carp eggs both within the estuaries and river mouths and within the lower 100 kilometers (km) of the river. Dams played a leading role in defining these settling zones, with the exception of dams on the Sandusky River. The impoundments created by many of the larger dams on these rivers acted to sufficiently decelerate the flows and allowed the shear velocity to drop below the settling velocity for Asian carp eggs, which would allow the eggs to fall out of suspension and settle on the bottom where it is thought the eggs would perish. While three rivers exhibited these settling zones upstream of the larger dams, not all settling zones are likely to have such effects on egg transport. The Milwaukee River exhibited only a short settling zone upstream of the Grafton Dam, whereas the St. Joseph and Maumee Rivers both had extensive settling zones (&gt;5 km) behind major dams. These longer settling zones are likely to capture more eggs than shorter settling reaches. All four rivers exhibited settling zones at their river mouths, with the Lake Erie tributaries having much larger settling zones extending more than 10 km up the tributaries.</p>\n<p>While hydraulic data from all four rivers indicated settling of eggs is possible in some locations, all four rivers also exhibited sufficient temperatures, water-quality characteristics, turbulence, and transport times outside of settling zones for successful suspension and development of Asian carp eggs to the hatching stage before the threat of settlement. These observed data indicate that these four Great Lakes tributaries have sufficient hydraulic and water-quality characteristics to support successful spawning and recruitment of Asian carps. The data indicate that with the right temperature and flow conditions, river reaches as short as 25 km may allow Asian carp eggs sufficient time to develop to hatching. Additionally, examining the relation between critical shear velocity and mean velocity, egg settling appears to take place at mean velocities in the range of 15&ndash;25&nbsp;centimeters per second, a much lower value than is generally cited in the literature. A first-order estimate of the minimum transport velocity for Asian carp eggs in a river can be obtained by using mean flow depth and river substrate data, and curves were constructed to show this relation. These findings would expand the number of possible tributaries suitable for Asian carp spawning and contribute to the understanding of how hydraulic and water-quality information can be used to screen additional rivers in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135106","collaboration":"Prepared in cooperation with the Great Lakes Restoration Initiative","usgsCitation":"Murphy, E., and Jackson, P., 2013, Hydraulic and water-quality data collection for the investigation of Great Lakes tributaries for Asian carp spawning and egg-transport suitability: U.S. Geological Survey Scientific Investigations Report 2013-5106, vi, 30 p., https://doi.org/10.3133/sir20135106.","productDescription":"vi, 30 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":273892,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5106/pdf/sir2013-5106_web.pdf","text":"Report","size":"5.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":273888,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5106/"},{"id":273900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135106.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -90.0,40.0 ], [ -90.0,43.0 ], [ -82.0,43.0 ], [ -82.0,40.0 ], [ -90.0,40.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c17359e4b0dd0e00d9218b","contributors":{"authors":[{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":479919,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044048,"text":"70044048 - 2013 - Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","interactions":[],"lastModifiedDate":"2013-06-18T15:14:03","indexId":"70044048","displayToPublicDate":"2013-06-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2375,"text":"Journal of Maps","active":true,"publicationSubtype":{"id":10}},"title":"Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010","docAbstract":"Historical movement of the Montaguto earth flow in southern Italy has periodically destroyed residences and farmland, and damaged the Italian National Road SS90 and the Benevento-Foggia National Railway. This paper provides maps from an investigation into the evolution of the Montaguto earth flow from 1954 to 2010. We used aerial photos, topographic maps, LiDAR data, satellite images, and field observations to produce multi-temporal maps. The maps show the spatial and temporal distribution of back-tilted surfaces, flank ridges, and normal, thrust, and strike-slip faults. Springs, creeks, and ponds are also shown on the maps. The maps provide a basis for interpreting how basal and lateral boundary geometries influence earth-flow behavior and surface-water hydrology.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Maps","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/17445647.2013.765812","usgsCitation":"Guerriero, L., Revellino, P., Coe, J.A., Focareta, M., Grelle, G., Albanese, V., Corazza, A., and Guadagno, F.M., 2013, Multi-temporal maps of the Montaguto earth flow in southern Italy from 1954 to 2010: Journal of Maps, v. 9, no. 1, p. 135-145, https://doi.org/10.1080/17445647.2013.765812.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-040890","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":473741,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/17445647.2013.765812","text":"Publisher Index Page"},{"id":273951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273948,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/17445647.2013.765812"}],"country":"Italy","otherGeospatial":"Montaguto Earth Flow","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 6.63,35.29 ], [ 6.63,47.09 ], [ 18.78,47.09 ], [ 18.78,35.29 ], [ 6.63,35.29 ] ] ] } } ] }","volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-02-20","publicationStatus":"PW","scienceBaseUri":"51c1735ae4b0dd0e00d9219f","contributors":{"authors":[{"text":"Guerriero, Luigi","contributorId":105205,"corporation":false,"usgs":true,"family":"Guerriero","given":"Luigi","email":"","affiliations":[],"preferred":false,"id":474702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Revellino, Paola","contributorId":62509,"corporation":false,"usgs":true,"family":"Revellino","given":"Paola","email":"","affiliations":[],"preferred":false,"id":474697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":474695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Focareta, Mariano","contributorId":26607,"corporation":false,"usgs":true,"family":"Focareta","given":"Mariano","email":"","affiliations":[],"preferred":false,"id":474696,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grelle, Gerardo","contributorId":102365,"corporation":false,"usgs":true,"family":"Grelle","given":"Gerardo","email":"","affiliations":[],"preferred":false,"id":474700,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albanese, Vincenzo","contributorId":100723,"corporation":false,"usgs":true,"family":"Albanese","given":"Vincenzo","email":"","affiliations":[],"preferred":false,"id":474699,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corazza, Angelo","contributorId":92957,"corporation":false,"usgs":true,"family":"Corazza","given":"Angelo","email":"","affiliations":[],"preferred":false,"id":474698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guadagno, Francesco M.","contributorId":102366,"corporation":false,"usgs":true,"family":"Guadagno","given":"Francesco","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":474701,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70046622,"text":"sir20135112 - 2013 - An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","interactions":[],"lastModifiedDate":"2014-01-27T11:14:22","indexId":"sir20135112","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5112","title":"An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio","docAbstract":"This report presents the results of a study to assess potential water availability from the Atwood, Leesville, and Tappan Lakes, located within the Muskingum River Watershed, Ohio. The assessment was based on the criterion that water withdrawals should not appreciably affect maintenance of recreation-season pool levels in current use. To facilitate and simplify the assessment, it was assumed that historical lake operations were successful in maintaining seasonal pool levels, and that any discharges from lakes constituted either water that was discharged to prevent exceeding seasonal pool levels or discharges intended to meet minimum in-stream flow targets downstream from the lakes. It further was assumed that the volume of water discharged in excess of the minimum in-stream flow target is available for use without negatively impacting seasonal pool levels or downstream water uses and that all or part of it is subject to withdrawal. Historical daily outflow data for the lakes were used to determine the quantity of water that potentially could be withdrawn and the resulting quantity of water that would flow downstream (referred to as “flow-by”) on a daily basis as a function of all combinations of three hypothetical target minimum flow-by amounts (1, 2, and 3 times current minimum in-stream flow targets) and three pumping capacities (1, 2, and 3 million gallons per day). Using both U.S. Geological Survey streamgage data and lake-outflow data provided by the U.S. Army Corps of Engineers resulted in analytical periods ranging from 51 calendar years for the Atwood Lake to 73 calendar years for the Leesville and Tappan Lakes. The observed outflow time series and the computed time series of daily flow-by amounts and potential withdrawals were analyzed to compute and report order statistics (95th, 75th, 50th, 25th, 10th, and 5th percentiles) and means for the analytical period, in aggregate, and broken down by calendar month. In addition, surplus-water mass curve data were tabulated for each of the lakes. Monthly order statistics of computed withdrawals indicated that, for the three pumping capacities considered, increasing the target minimum flow-by amount tended to reduce the amount of water that can be withdrawn. The reduction was greatest in the lower percentiles of withdrawal; however, increasing the flow-by amount had no impact on potential withdrawals during high flow. In addition, for a given target minimum flow-by amount, increasing the pumping rate increased the total amount of water that could be withdrawn; however, that increase was less than a direct multiple of the increase in pumping rate for most flow statistics. Potential monthly withdrawals were observed to be more variable and more limited in some calendar months than others. Monthly order statistics and means of computed daily mean flow-by amounts indicated that flow-by amounts generally tended to be lowest during June–October and February. Increasing the target minimum flow-by amount for a given pumping rate resulted in some small increases in the magnitudes of the mean and 50th percentile and lower order statistics of computed mean flow-by, but had no effect on the magnitudes of the higher percentile statistics. Increasing the pumping rate for a given target minimum flow-by amount resulted in decreases in magnitudes of higher-percentile flow-by statistics by an amount equal to the flow equivalent of the increase in pumping rate; however, some lower percentile statistics remained unchanged.","language":"English","publisher":"U.S. Geological Service","publisherLocation":"Reston, VA","doi":"10.3133/sir20135112","issn":"2328-0328","collaboration":"Prepared in cooperation with the Muskingum Watershed Conservancy District","usgsCitation":"Koltun, G., 2013, An analysis of potential water availability from the Atwood, Leesville, and Tappan Lakes in the Muskingum River Watershed, Ohio (Originally posted July 17, 2013; Revised January 27, 2014): U.S. Geological Survey Scientific Investigations Report 2013-5112, Report: vi, 33 p.; Appendix 1: Excel file, https://doi.org/10.3133/sir20135112.","productDescription":"Report: vi, 33 p.; Appendix 1: Excel file","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"links":[{"id":273807,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5112/pdf/sir2013-5112.pdf"},{"id":273809,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2013/5112/table_1-1.xlsx"},{"id":273810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135112.jpg"},{"id":273808,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5112/"}],"country":"United States","state":"Ohio","otherGeospatial":"Atwood Lake;Leesville Lake;Muskingum River Watershed;Tappan Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.2546,39.0874 ], [ -82.2546,40.8346 ], [ -80.8649,40.8346 ], [ -80.8649,39.0874 ], [ -82.2546,39.0874 ] ] ] } } ] }","edition":"Originally posted July 17, 2013; Revised January 27, 2014","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021cde4b0ee1529ecdeba","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960 gfkoltun@usgs.gov","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":1852,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","email":"gfkoltun@usgs.gov","affiliations":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true}],"preferred":false,"id":479878,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046637,"text":"sir20135093 - 2013 - Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2013-06-17T20:22:16","indexId":"sir20135093","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5093","title":"Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi","docAbstract":"In this document we describe the methods and results of a project to produce a large-scale map of the dominant plant communities for an area of 5,118.5 hectares encompassing the Kawela and Kamalō watersheds on the island of Molokaʻi, Hawaiʻi, using digital image analysis of multi-spectral satellite imagery. Besides providing a base map of the area for land managers to use, this vegetation map serves as spatial background for the U.S. Geological Survey’s (USGS) Molokaʻi Ridge-to-Reef project, which is an interdisciplinary study of erosion and sediment transport within these watersheds. A total of 14 mapping units were identified for the Kawela-Kamalō project area. The most widespread units were the ʻŌhiʻa montane wet or mesic forest and No vegetation or very sparse grasses/shrubs communities, each present in more than 800 hectares, or 16 percent of the mapping area. Next largest were the Kiawe woodland with alien grass understory and ʻAʻaliʻi dry shrubland units, each of which covered more than 500 hectares, or more than 12 percent of the area; followed by the Mixed native mesic shrubland, ʻIlima and mixed grass dry shrubland, Mixed alien grass with ʻilima shrubs, and the Mixed alien forest with alien shrub/grass understory communities, which ranged in size from approximately 391 to 491 hectares, or 7.6 to 9.6 percent of the project site. The other six mapped units covered less than 170 hectares of the landscape. Six of the map units were dominated by native vegetation, covering a total of 2,535.2 hectares combined, or approximately 50 percent of the project area. The remaining map units were dominated by nonnative species and represent vegetation types that have resulted from invasion and establishment of plant species that had been either purposely or accidently introduced into Hawaiʻi since humans arrived in these islands more than 1,500 years ago. The preponderance of mapping units that are dominated by alien species of plants is a strong indication of how much anthropogenic disturbance has occurred in this area. The native-dominated ʻŌhiʻa forest and uluhe fern communities are probably most similar to the vegetation that was originally found in the upper part of the project area this area. Portions of the mixed mesic native shrub community still persist in the lowland mesic zone, but below that area, the vegetation is either dominated by alien species, or artificially opened by animal grazing and erosion, even in the few units that are still dominated by native species. The map produced for the Kawela to Kamalō watersheds can be used as a baseline for assessing the distribution and abundance of the various plant communities found across this landscape at the time of the imagery (2004). It can also be used to help understand the dynamics of the vegetation and other attributes of this watershed—such as erosion and surface transport of sediment, relative to current and future habitat conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135093","collaboration":"Prepared in collaboration with the Hawaiʻi Cooperative Studies, University of Hawaiʻi at Hilo","usgsCitation":"Jacobi, J.D., and Ambagis, S., 2013, Vegetation map of the watersheds between Kawela and Kamalō Gulches, Island of Molokaʻi, Hawaiʻi: U.S. Geological Survey Scientific Investigations Report 2013-5093, vi, 22 p.; Map: 1 Sheet: 11 x 17 inches; GIS Data, https://doi.org/10.3133/sir20135093.","productDescription":"vi, 22 p.; Map: 1 Sheet: 11 x 17 inches; GIS Data","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":273875,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135093.gif"},{"id":273873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5093/sir2013-5093_map.pdf"},{"id":273874,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5093/sir2013-5093_text.pdf"},{"id":273872,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5093/"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Moloka'i","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -157.3108,21.0462 ], [ -157.3108,21.2241 ], [ -156.7097,21.2241 ], [ -156.7097,21.0462 ], [ -157.3108,21.0462 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d6e4b0ee1529ecdece","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":479914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ambagis, Stephen","contributorId":83430,"corporation":false,"usgs":true,"family":"Ambagis","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":479915,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046524,"text":"70046524 - 2013 - Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","interactions":[],"lastModifiedDate":"2013-06-17T12:08:31","indexId":"70046524","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers","docAbstract":"Asian carp are migrating towards the Great Lakes and are threatening to invade this ecosystem, hence there is an immediate need to control their population. The transport of Asian carp eggs in potential spawning rivers is an important factor in its life history and recruitment success. An understanding of the transport, development, and fate of Asian carp eggs has the potential to create prevention, management, and control strategies before the eggs hatch and develop the ability to swim. However, there is not a clear understanding of the hydrodynamic conditions at which the eggs are transported and kept in suspension. This knowledge is imperative because of the current assumption that suspension is required for the eggs to survive. Herein, FluEgg (Fluvial Egg Drift Simulator), a three-dimensional Lagrangian model capable of evaluating the influence of flow velocity, shear dispersion and turbulent diffusion on the transport and dispersal patterns of Asian carp eggs is presented. The model's variables include not only biological behavior (growth rate, density changes) but also the physical characteristics of the flow field, such as mean velocities and eddy diffusivities. The performance of the FluEgg model was evaluated using observed data from published flume experiments conducted in China with water-hardened Asian carp eggs as subjects. FluEgg simulations show a good agreement with the experimental data. The model was also run with observed data from the Sandusky River in Ohio to provide a real-world demonstration case. This research will support the identification of critical hydrodynamic conditions (e.g., flow velocity, depth, and shear velocity) to maintain eggs in suspension, assist in the evaluation of suitable spawning rivers for Asian carp populations and facilitate the development of prevention, control and management strategies for Asian carp species in rivers and water bodies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Modelling","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2013.05.005","usgsCitation":"Garcia, T., Jackson, P., Murphy, E., Valocchi, A.J., and Garcia, M., 2013, Development of a Fluvial Egg Drift Simulator to evaluate the transport and dispersion of Asian carp eggs in rivers: Ecological Modelling, v. 263, p. 211-222, https://doi.org/10.1016/j.ecolmodel.2013.05.005.","productDescription":"12 p.","startPage":"211","endPage":"222","ipdsId":"IP-042130","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":438787,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93UCQR2","text":"USGS data release","linkHelpText":"FluEgg"},{"id":273818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273688,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecolmodel.2013.05.005"}],"volume":"263","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdec6","chorus":{"doi":"10.1016/j.ecolmodel.2013.05.005","url":"http://dx.doi.org/10.1016/j.ecolmodel.2013.05.005","publisher":"Elsevier BV","authors":"Garcia Tatiana, Jackson P. Ryan, Murphy Elizabeth A., Valocchi Albert J., Garcia Marcelo H.","journalName":"Ecological Modelling","publicationDate":"8/2013"},"contributors":{"authors":[{"text":"Garcia, Tatiana","contributorId":54870,"corporation":false,"usgs":true,"family":"Garcia","given":"Tatiana","affiliations":[],"preferred":false,"id":479759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, P. Ryan","contributorId":68571,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","middleInitial":"Ryan","affiliations":[],"preferred":false,"id":479760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Elizabeth A.","contributorId":69660,"corporation":false,"usgs":true,"family":"Murphy","given":"Elizabeth A.","affiliations":[],"preferred":false,"id":479761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valocchi, Albert J.","contributorId":25062,"corporation":false,"usgs":true,"family":"Valocchi","given":"Albert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":479758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":479762,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046623,"text":"sir20135111 - 2013 - Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa","interactions":[],"lastModifiedDate":"2013-06-17T11:56:50","indexId":"sir20135111","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5111","title":"Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa","docAbstract":"A variety of individuals from water resource managers to recreational users need streamflow information for planning and decisionmaking at locations where there are no streamgages. To address this problem, two statistically based methods, the Flow Duration Curve Transfer method and the Flow Anywhere method, were developed for statewide application and the two physically based models, the Precipitation Runoff Modeling-System and the Soil and Water Assessment Tool, were only developed for application for the Cedar River Basin. Observed and estimated streamflows for the two methods and models were compared for goodness of fit at 13 streamgages modeled in the Cedar River Basin by using the Nash-Sutcliffe and the percent-bias efficiency values.\n\nBased on median and mean Nash-Sutcliffe values for the 13 streamgages the Precipitation Runoff Modeling-System and Soil and Water Assessment Tool models appear to have performed similarly and better than Flow Duration Curve Transfer and Flow Anywhere methods. Based on median and mean percent bias values, the Soil and Water Assessment Tool model appears to have generally overestimated daily mean streamflows, whereas the Precipitation Runoff Modeling-System model and statistical methods appear to have underestimated daily mean streamflows. The Flow Duration Curve Transfer method produced the lowest median and mean percent bias values and appears to perform better than the other models.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135111","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Linhart, S., Nania, J.F., Christiansen, D.E., Hutchinson, K.J., Sanders, C.L., and Archfield, S.A., 2013, Comparison between two statistically based methods, and two physically based models developed to compute daily mean streamflow at ungaged locations in the Cedar River Basin, Iowa: U.S. Geological Survey Scientific Investigations Report 2013-5111, iv, 7 p., https://doi.org/10.3133/sir20135111.","productDescription":"iv, 7 p.","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":273813,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5111/sir13_5111_web.pdf"},{"id":273815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135111.gif"},{"id":273812,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5111/"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d4e4b0ee1529ecdebe","contributors":{"authors":[{"text":"Linhart, S. Mike","contributorId":61073,"corporation":false,"usgs":true,"family":"Linhart","given":"S. Mike","affiliations":[],"preferred":false,"id":479883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nania, Jon F. jfnania@usgs.gov","contributorId":4767,"corporation":false,"usgs":true,"family":"Nania","given":"Jon","email":"jfnania@usgs.gov","middleInitial":"F.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Curtis L. Jr.","contributorId":76391,"corporation":false,"usgs":true,"family":"Sanders","given":"Curtis","suffix":"Jr.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":479884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":479880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70045689,"text":"70045689 - 2013 - Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements","interactions":[],"lastModifiedDate":"2014-01-27T09:58:50","indexId":"70045689","displayToPublicDate":"2013-06-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements","docAbstract":"Accurate values of diffusion coefficients for carbon dioxide in water and brine at reservoir conditions are essential to our understanding of transport behavior of carbon dioxide in subsurface pore space. However, the experimental data are limited to conditions at low temperatures and pressures. In this study, diffusive transfer of carbon dioxide in water at pressures up to 45 MPa and temperatures from 268 to 473 K was observed within an optical capillary cell via time-dependent Raman spectroscopy. Diffusion coefficients were estimated by the least-squares method for the measured variations in carbon dioxide concentration in the cell at various sample positions and time. At the constant pressure of 20 MPa, the measured diffusion coefficients of carbon dioxide in water increase with increasing temperature from 268 to 473 K. The relationship between diffusion coefficient of carbon dioxide in water [D(CO<sub>2</sub>) in m<sup>2</sup>/s] and temperature (T in K) was derived with Speedy–Angell power-law approach as: D(CO<sub>2</sub>)=D<sub>0</sub>[T/Ts-1]<sup>m</sup> where D<sub>0</sub> = 13.942 × 10<sup>−9</sup> m<sup>2</sup>/s, Ts = 227.0 K, and m = 1.7094. At constant temperature, diffusion coefficients of carbon dioxide in water decrease with pressure increase. However, this pressure effect is rather small (within a few percent).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geochimica et Cosmochimica Acta","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2013.04.010","usgsCitation":"Lu, W., Guo, H., Chou, I., Burruss, R., and Li, L., 2013, Determination of diffusion coefficients of carbon dioxide in water between 268 and 473 K in a high-pressure capillary optical cell with in situ Raman spectroscopic measurements: Geochimica et Cosmochimica Acta, v. 115, p. 183-204, https://doi.org/10.1016/j.gca.2013.04.010.","productDescription":"20 p.","startPage":"183","endPage":"204","ipdsId":"IP-041914","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":273880,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273879,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.gca.2013.04.010"}],"country":"United States","volume":"115","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51c021d5e4b0ee1529ecdec2","contributors":{"authors":[{"text":"Lu, Wanjun","contributorId":15102,"corporation":false,"usgs":true,"family":"Lu","given":"Wanjun","email":"","affiliations":[],"preferred":false,"id":478052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Huirong","contributorId":46397,"corporation":false,"usgs":true,"family":"Guo","given":"Huirong","email":"","affiliations":[],"preferred":false,"id":478055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chou, I.-M. 0000-0001-5233-6479","orcid":"https://orcid.org/0000-0001-5233-6479","contributorId":44283,"corporation":false,"usgs":true,"family":"Chou","given":"I.-M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":478054,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burruss, R.C. 0000-0001-6827-804X","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":99574,"corporation":false,"usgs":true,"family":"Burruss","given":"R.C.","affiliations":[],"preferred":false,"id":478056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Lanlan","contributorId":26211,"corporation":false,"usgs":true,"family":"Li","given":"Lanlan","email":"","affiliations":[],"preferred":false,"id":478053,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70046577,"text":"sir20135080 - 2013 - Modeled future peak streamflows in four coastal Maine rivers","interactions":[],"lastModifiedDate":"2022-11-21T20:37:41.262194","indexId":"sir20135080","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5080","title":"Modeled future peak streamflows in four coastal Maine rivers","docAbstract":"To safely and economically design bridges and culverts, it is necessary to compute the magnitude of peak streamflows that have specified annual exceedance probabilities (AEPs). Annual precipitation and air temperature in the northeastern United States are, in general, projected to increase during the 21st century. It is therefore important for engineers and resource managers to understand how peak flows may change in the future. This report, prepared in cooperation with the Maine Department of Transportation (MaineDOT), presents modeled changes in peak flows at four basins in coastal Maine on the basis of projected changes in air temperature and precipitation. To estimate future peak streamflows at the four basins in this study, historical values for climate (temperature and precipitation) in the basins were adjusted by different amounts and input to a hydrologic model of each study basin. To encompass the projected changes in climate in coastal Maine by the end of the 21st century, air temperatures were adjusted by four different amounts, from -3.6 degrees Fahrenheit (ºF) (-2 degrees Celsius (ºC)) to +10.8 ºF (+6 ºC) of observed temperatures. Precipitation was adjusted by three different percentage values from -15 percent to +30 percent of observed precipitation. The resulting 20 combinations of temperature and precipitation changes (includes the no-change scenarios) were input to Precipitation-Runoff Modeling System (PRMS) watershed models, and annual daily maximum peak flows were calculated for each combination. Modeled peak flows from the adjusted changes in temperature and precipitation were compared to unadjusted (historical) modeled peak flows. Annual daily maximum peak flows increase or decrease, depending on whether temperature or precipitation is adjusted; increases in air temperature (with no change in precipitation) lead to decreases in peak flows, whereas increases in precipitation (with no change in temperature) lead to increases in peak flows. As the magnitude of air temperatures increase in the four basins, peak flows decrease by larger amounts. If precipitation is held constant (no change from historical values), 17 to 26 percent decreases in peak flow occur at the four basins when temperature is increased by 7.2°F. If temperature is held constant, 26 to 38 percent increases in peak flow result from a 15-percent increase in precipitation. The largest decreases in peak flows at the four basins result from 15-percent decreases in precipitation combined with temperature increases of 10.8°F. The largest increases in peak flows generally result from 30-percent increases in precipitation combined with 3.6 °F decreases in temperatures. In many cases when temperature and precipitation both increase, small increases or decreases in annual daily maximum peak flows result. For likely changes projected for the northeastern United States for the middle of the 21st century (temperature increase of 3.6 °F and precipitation increases of 0 to 15 percent), peak-flow changes at the four coastal Maine basins in this study are modeled to be evenly distributed between increases and decreases of less than 25 percent. Peak flows with 50-percent and 1-percent AEPs (equivalent to 2-year and 100-year recurrence interval peak flows, respectively) were calculated for the four basins in the study using the PRMS-modeled annual daily maximum peak flows. Modeled peak flows with 50-percent and 1-percent AEPs with adjusted temperatures and precipitation were compared to unadjusted (historical) modeled values. Changes in peak flows with 50-percent AEPs are similar to changes in annual daily maximum peak flow; changes in peak flows with 1-percent AEPs are similar in pattern to changes in annual daily maximum peak flow, but some of the changes associated with increasing precipitation are much larger than changes in annual daily maximum peak flow. Substantial decreases in maximum annual winter snowpack water equivalent are modeled to occur with increasing air temperatures at the four basins in the study. (Snowpack is the snow on the ground that accumulates during a winter, and water equivalent is the amount of water in a snowpack if it were melted.) The decrease in modeled peak flows with increasing air temperature, given no change in precipitation amount, is likely caused by these decreases in winter snowpack and resulting decreases in snowmelt runoff. This Scientific Investigations Report, prepared in cooperation with the Maine Department of Transportation, presents a summary of modeled changes in peak flows at four basins in coastal Maine on the basis of projected changes in air temperature and precipitation. The full Fact Sheet (Hodgkins and Dudley, 2013) is available at http://pubs.usgs.gov/fs/2013/3021/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135080","collaboration":"Prepared in cooperation with the Maine Department of Transportation","usgsCitation":"Hodgkins, G.A., and Dudley, R.W., 2013, Modeled future peak streamflows in four coastal Maine rivers: U.S. Geological Survey Scientific Investigations Report 2013-5080, iv, 20 p., https://doi.org/10.3133/sir20135080.","productDescription":"iv, 20 p.","numberOfPages":"26","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135080.gif"},{"id":273733,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5080/pdf/sir2013-5080.pdf"},{"id":273732,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5080/"}],"country":"United States","state":"Maine","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              43.54298812316884\n            ],\n            [\n              -66.87275234927932,\n              45.74318793464616\n            ],\n            [\n              -70.86751133164161,\n              45.74318793464616\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c80","contributors":{"authors":[{"text":"Hodgkins, Glenn A. 0000-0002-4916-5565 gahodgki@usgs.gov","orcid":"https://orcid.org/0000-0002-4916-5565","contributorId":2020,"corporation":false,"usgs":true,"family":"Hodgkins","given":"Glenn","email":"gahodgki@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudley, Robert W. 0000-0002-0934-0568 rwdudley@usgs.gov","orcid":"https://orcid.org/0000-0002-0934-0568","contributorId":2223,"corporation":false,"usgs":true,"family":"Dudley","given":"Robert","email":"rwdudley@usgs.gov","middleInitial":"W.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479823,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046610,"text":"70046610 - 2013 - Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river","interactions":[],"lastModifiedDate":"2013-07-15T09:44:13","indexId":"70046610","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river","docAbstract":"Interactions among flow, geomorphic processes, and riparian vegetation can strongly influence both channel form and vegetation communities. To investigate such interactions, we took advantage of a series of dam-managed flood releases that were designed in part to maintain a native riparian woodland system on a sand-bed, dryland river, the Bill Williams River, Arizona, USA. Our resulting multiyear flow experiment examined differential mortality among native and nonnative riparian seedlings, associated flood hydraulics and geomorphic changes, and the temporal evolution of feedbacks among vegetation, channel form, and hydraulics. We found that floods produced geomorphic and vegetation responses that varied with distance downstream of a dam, with scour and associated seedling mortality closer to the dam and aggradation and burial-induced mortality in a downstream reach. We also observed significantly greater mortality among nonnative tamarisk (Tamarix) seedlings than among native willow (Salix gooddingii) seedlings, reflecting the greater first-year growth of willow relative to tamarisk. When vegetation was small early in our study period, the effects of vegetation on flood hydraulics and on mediating flood-induced channel change were minimal. Vegetation growth in subsequent years resulted in stronger feedbacks, such that vegetation's stabilizing effect on bars and its drag effect on flow progressively increased, muting the geomorphic effects of a larger flood release. These observations suggest that the effectiveness of floods in producing geomorphic and ecological changes varies not only as a function of flood magnitude and duration, but also of antecedent vegetation density and size.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1002/wrcr.20256","usgsCitation":"Wilcox, A., and Shafroth, P.B., 2013, Coupled hydrogeomorphic and woody-seedling responses to controlled flood releases in a dryland river: Water Resources Research, v. 49, no. 5, p. 2843-2860, https://doi.org/10.1002/wrcr.20256.","productDescription":"18 p.","startPage":"2843","endPage":"2860","ipdsId":"IP-045475","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473744,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20256","text":"Publisher Index Page"},{"id":273746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":273745,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20256"}],"country":"United States","state":"Arizona","otherGeospatial":"Bill Williams River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -114.82,31.33 ], [ -114.82,37.0 ], [ -109.05,37.0 ], [ -109.05,31.33 ], [ -114.82,31.33 ] ] ] } } ] }","volume":"49","issue":"5","noUsgsAuthors":false,"publicationDate":"2013-05-28","publicationStatus":"PW","scienceBaseUri":"51bc2d5ae4b0c04034a01c6c","contributors":{"authors":[{"text":"Wilcox, Andrew C.","contributorId":25064,"corporation":false,"usgs":true,"family":"Wilcox","given":"Andrew C.","affiliations":[],"preferred":false,"id":479867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":479866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046538,"text":"sir20135123 - 2013 - Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","interactions":[],"lastModifiedDate":"2013-06-14T09:26:49","indexId":"sir20135123","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5123","title":"Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire","docAbstract":"Leachate continues to be generated from landfills at the Auburn Road Landfill Superfund Site in Londonderry, New Hampshire. Impermeable caps on the three landfills at the site inhibit direct infiltration of precipitation; however, high water-table conditions allow groundwater to interact with landfill materials from below, creating leachate and ultimately reducing conditions in downgradient groundwater. Reducing conditions can facilitate arsenic transport by allowing it to stay in solution or by liberating arsenic adsorbed to surfaces and from geologic sources, such as glacial sediments and bedrock.\n\nThe site occupies a 180-acre parcel of land containing streams, ponds, wetlands, and former gravel pits located in glacial sediment. Four areas, totaling 14 acres, including three landfills and one septage lagoon, were used for waste disposal. The site was closed in 1980 after volatile organic compounds associated with industrial waste dumping were detected. The site was added to the U.S. Environmental Protection Agency National Priority List in 1982, and the landfills were capped in 1996. Although volatile organic compound concentrations in groundwater have declined substantially, some measurable concentrations remain. Temporally variable and persistent elevated arsenic concentrations have been measured in groundwater affected by the landfill leachate.\n\nMicrobial consumption of carbon found in leachate is a driver of reducing conditions that liberate arsenic at the site. In addition to sources of carbon in landfill leachate, wetland areas throughout the site also could contribute carbon to groundwater, but it is currently unknown if any of the wetland areas have downward or reversing gradients that could allow the infiltration of surface water to groundwater. Red-stained sediments and water indicate iron-rich groundwater discharge to surface water and are also associated with elevated concentrations of arsenic in sediment and groundwater. Ironrich groundwater seeps have been observed in the wetland, streams, and pond downgradient of the landfills. Piezometers were installed in some of these locations to confirm groundwater discharge, measure vertical-flow gradients, and to provide a way to sample the discharging groundwater.\n\nUnderstanding the movement of leachate in groundwater is complicated by the presence of preferential flow paths through aquifer materials with differing hydraulic properties; these preferential flow paths can affect rates of recharge, geochemical conditions, and contaminant fluxes. In areas adjacent to the three capped landfills, infiltration of precipitation containing oxygenated water through permeable deltaic sediments in the former gravel pit area causes increases in dissolved oxygen concentrations and decreases in arsenic concentrations. Layered deltaic sediments produce anisotropic hydraulic characteristics and zones of high hydraulic conductivity. The glacial-sediment aquifer also includes glaciolacustrine sediments that have low permeability and limit infiltration at the surface\n\nDischarge of leachate-affected groundwater may be limited in areas of organic muck on the bottom of Whispering Pines Pond because the muck may act as a semiconfining layer. Geophysical survey results were used to identify several areas with continuous beds of muck and an underlying highresistivity layer on top of a layer of low resistivity that may represent leachate-affected groundwater. The high-resistivity layer is likely groundwater associated with oxygenated recharge, which would cause arsenic to adsorb onto aquifer sediments and reduce concentrations of dissolved arsenic in groundwater.\n\nSurface and borehole geophysical data collected in 2011 were used to identify potentially high-permeability or contaminated zones in the aquifer (preferential flowpaths) as well as low-permeability zones that may promote contamination through back diffusion. Some groundwater in parts of the glacial-sediment aquifer where the leachate plumes were present had low electrical resistivity, low dissolved oxygen, and high concentrations of arsenic. Low-resistivity zones in the underlying bedrock were associated with fractures that also may contain leachate. Although surveying the fractured bedrock was not a specific objective of this study, the results suggest that such a survey would help to determine if leachate and associated concentrations of arsenic are migrating downward into the fractured-bedrock-aquifer system.\n\nAn uncalibrated, one-dimensional, reactive-transport model was used to assess several conditions that affect arsenic mobility. The results indicate that reductive dissolution and desorption from glacial sediments control dissolved arsenic concentrations. Parameter sensitivity analysis was used to identify key data that are needed in order to accurately assess the time required for arsenic concentrations to fall to levels below the maximum contaminant level at the site. Quantifying this time will require accurate characterization of carbon, sediment-surface sorption sites, and groundwater fluxes at the site.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135123","collaboration":"Prepared in cooperation with the New Hampshire Department of Environmental Services and in collaboration with the U.S. Environmental Protection Agency","usgsCitation":"Degnan, J.R., and Harte, P.T., 2013, Hydrogeologic framework, arsenic distribution, and groundwater geochemistry of the glacial-sediment aquifer at the Auburn Road landfill superfund site, Londonderry, New Hampshire: U.S. Geological Survey Scientific Investigations Report 2013-5123, vii, 58 p., https://doi.org/10.3133/sir20135123.","productDescription":"vii, 58 p.","numberOfPages":"70","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":273707,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135123.gif"},{"id":273705,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5123/"},{"id":273706,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5123/pdf/sir2013-5123_report_508.pdf"}],"country":"United States","state":"New Hampshire","city":"Londonderry","otherGeospatial":"Auburn Road Landfill","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.358333,42.929167 ], [ -71.358333,42.940278 ], [ -71.345833,42.940278 ], [ -71.345833,42.929167 ], [ -71.358333,42.929167 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ce4b0c04034a01c78","contributors":{"authors":[{"text":"Degnan, James R. 0000-0002-5665-9010 jrdegnan@usgs.gov","orcid":"https://orcid.org/0000-0002-5665-9010","contributorId":498,"corporation":false,"usgs":true,"family":"Degnan","given":"James","email":"jrdegnan@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479781,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70046564,"text":"sir20125254 - 2013 - Evaluation of groundwater quality and selected hydrologic conditions in the South Coast aquifer, Santa Isabel area, Puerto Rico, 2008–09","interactions":[],"lastModifiedDate":"2013-06-14T12:13:56","indexId":"sir20125254","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5254","title":"Evaluation of groundwater quality and selected hydrologic conditions in the South Coast aquifer, Santa Isabel area, Puerto Rico, 2008–09","docAbstract":"The source of drinking water in the Santa Isabel and Coamo areas of Puerto Rico (Molina and Gómez-Gómez, 2008) is the South Coast aquifer (hereafter referred to as the aquifer), which supplies about 30,700 cubic meters per day (m³/d) to Puerto Rico Aqueduct and Sewer Authority (PRASA) public-supply wells. In addition, approximately 45 wells provide an estimated 33,700 m³/d of groundwater to irrigate crops in the area. In 1967, baseline nitrate concentrations in groundwater throughout most of the aquifer were generally less than 6 milligrams per liter (mg/L) as nitrogen in collected water samples (U.S. Geological Survey, 2012). In 2007, elevated nitrate concentrations were detected in the aquifer, near Santa Isabel and the foothills north of the coastal plain at Santa Isabel as part of a regional groundwater-quality assessment conducted by the U.S. Geological Survey (USGS) during 2007 (Rodríguez and Gómez-Gómez, 2008). The increase in nitrate concentrations has been of concern to local government agencies because of its potential effect on public supply. To address public-supply concerns, the USGS, in cooperation with the Puerto Rico Department of Natural and Environmental Resources (PRDNER), evaluated groundwater quality in the aquifer near the Santa Isabel area between January 2008 and May 2009. The objectives of the study were to (1) define the groundwater-quality conditions of the aquifer, with emphasis on the distribution of nitrate concentrations; (2) identify potential sources leading to elevated nitrate concentrations; (3) estimate the nitrate loads from major sources identified; and (4) estimate the groundwater withdrawals by principal-use categories in the area. Results of this study will be used by Commonwealth of Puerto Rico and Federal agencies in developing strategies that can result in containment of high nitrate groundwater to minimize degradation of fresh groundwater in the aquifer.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125254","collaboration":"Prepared in cooperation with the Puerto Rico Department of Natural and Environmental Resources","usgsCitation":"Rodríguez, J., 2013, Evaluation of groundwater quality and selected hydrologic conditions in the South Coast aquifer, Santa Isabel area, Puerto Rico, 2008–09: U.S. Geological Survey Scientific Investigations Report 2012-5254, x, 38 p., https://doi.org/10.3133/sir20125254.","productDescription":"x, 38 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"links":[{"id":273721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125254.gif"},{"id":273719,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5254/"},{"id":273720,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5254/pdf/sir2012-5254.pdf"}],"country":"Puerto Rico","otherGeospatial":"Santa Isabel","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -67.15,17.88 ], [ -67.15,18.32 ], [ -65.22,18.32 ], [ -65.22,17.88 ], [ -67.15,17.88 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5be4b0c04034a01c70","contributors":{"authors":[{"text":"Rodríguez, José M.","contributorId":80164,"corporation":false,"usgs":true,"family":"Rodríguez","given":"José M.","affiliations":[],"preferred":false,"id":479807,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70046568,"text":"sir20135062 - 2013 - Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009","interactions":[],"lastModifiedDate":"2017-01-17T20:42:52","indexId":"sir20135062","displayToPublicDate":"2013-06-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5062","title":"Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009","docAbstract":"Streamflow and water-quality data, including concentrations of nutrients, metals, and pesticides, were collected from October 1988 through September 2009 at six sites in the Treyburn development study area. A review of water-quality data for streams in and near a 5,400-acre planned, mixed-use development in the Falls Lake watershed in the upper Neuse River Basin of North Carolina indicated only small-scale changes in water quality since the previous assessment of data collected from 1988 to 1998. Loads and yields were estimated for sediment and nutrients, and temporal trends were assessed for specific conductance, pH, and concentrations of dissolved oxygen, suspended sediment, and nutrients. Water-quality conditions for the Little River tributary and Mountain Creek may reflect development within these basins. The nitrogen and phosphorus concentrations at the Treyburn sites are low compared to sites nationally. The herbicides atrazine, metolachlor, prometon, and simazine were detected frequently at Mountain Creek and Little River tributary but concentrations are low compared to sites nationally. Little River tributary had the lowest median suspended-sediment yield over the 1988–2009 study period, whereas Flat River tributary had the largest median yield. The yields estimated for suspended sediment and nutrients were low compared to yields estimated for other basins in the Southeastern United States. Recent increasing trends were detected in total nitrogen concentration and suspended-sediment concentrations for Mountain Creek, and an increasing trend was detected in specific conductance for Little River tributary. Decreasing trends were detected in dissolved nitrite plus nitrate nitrogen, total ammonia plus organic nitrogen, sediment, and specific conductance for Flat River tributary. Water chemical concentrations, loads, yields, and trends for the Treyburn study sites reflect some effects of upstream development. These measures of water quality are generally low, however, compared to regional and national averages.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135062","collaboration":"Prepared in cooperation with the City of Durham","usgsCitation":"Fine, J.M., Harned, D.A., and Oblinger, C.J., 2013, Water-quality characteristics, trends, and nutrient and sediment loads of streams in the Treyburn development area, North Carolina, 1988–2009: U.S. Geological Survey Scientific Investigations Report 2013-5062, viii, 61 p., https://doi.org/10.3133/sir20135062.","productDescription":"viii, 61 p.","numberOfPages":"71","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":273728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135062.gif"},{"id":273727,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5062/pdf/sir2013-5062.pdf"},{"id":273726,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5062/"}],"country":"United States","state":"North Carolina","otherGeospatial":"Treyburn Development Area","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81,34 ], [ -81,36.5 ], [ -78,36.5 ], [ -78,34 ], [ -81,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51bc2d5ee4b0c04034a01c90","contributors":{"authors":[{"text":"Fine, Jason M. 0000-0002-6386-256X jmfine@usgs.gov","orcid":"https://orcid.org/0000-0002-6386-256X","contributorId":2238,"corporation":false,"usgs":true,"family":"Fine","given":"Jason","email":"jmfine@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":479812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":479811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oblinger, Carolyn J. 0000-0003-2914-1643 oblinger@usgs.gov","orcid":"https://orcid.org/0000-0003-2914-1643","contributorId":13275,"corporation":false,"usgs":true,"family":"Oblinger","given":"Carolyn","email":"oblinger@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":false,"id":479813,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}