Space-based observations offer unique capabilities for studying spatial and temporal dynamics of the upper ocean inorganic carbon cycle and, in turn, supporting research tied to ocean acidification (OA). Satellite sensors measuring sea surface temperature, color, salinity, wind, waves, currents, and sea level enable a fuller understanding of a range of physical, chemical, and biological phenomena that drive regional OA dynamics as well as the potentially varied impacts of carbon cycle change on a broad range of ecosystems. Here, we update and expand on previous work that addresses the benefits of space-based assets for OA and carbonate system studies. Carbonate chemistry and the key processes controlling surface ocean OA variability are reviewed. Synthesis of present satellite data streams and their utility in this arena are discussed, as are opportunities on the horizon for using new satellite sensors with increased spectral, temporal, and/or spatial resolution. We outline applications that include the ability to track the biochemically dynamic nature of water masses, to map coral reefs at higher resolution, to discern functional phytoplankton groups and their relationships to acid perturbations, and to track processes that contribute to acid variation near the land-ocean interface.
","language":"English","publisher":"Oceanography Society","publisherLocation":"Washington D.C.","doi":"10.5670/oceanog.2015.35","usgsCitation":"Salisbury, J., Vandemark, D., Jonsson, B., Balch, W., Chakraborty, S., Lohrenz, S., Chapron, B., Hales, B., Mannino, A., Mathis, J.T., Reul, N., Signorini, S., Wanninkhof, R., and Yates, K.K., 2016, How can present and future satellite missions support scientific studies that address ocean acidification?: Oceanography, v. 2, no. 28, p. 108-121, https://doi.org/10.5670/oceanog.2015.35.","productDescription":"14 p.","startPage":"108","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062415","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470883,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5670/oceanog.2015.35","text":"Publisher Index 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Steven","contributorId":171875,"corporation":false,"usgs":false,"family":"Lohrenz","given":"Steven","email":"","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":638928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chapron, Bertrand","contributorId":171873,"corporation":false,"usgs":false,"family":"Chapron","given":"Bertrand","email":"","affiliations":[{"id":26964,"text":"Laboratoire d'Oceanographie Spatiale IFREMER","active":true,"usgs":false}],"preferred":false,"id":638926,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hales, Burke","contributorId":171874,"corporation":false,"usgs":false,"family":"Hales","given":"Burke","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":638927,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mannino, Antonio","contributorId":171876,"corporation":false,"usgs":false,"family":"Mannino","given":"Antonio","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":638929,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mathis, Jeremy T.","contributorId":146187,"corporation":false,"usgs":false,"family":"Mathis","given":"Jeremy","email":"","middleInitial":"T.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":638930,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reul, Nicolas","contributorId":171877,"corporation":false,"usgs":false,"family":"Reul","given":"Nicolas","email":"","affiliations":[{"id":26964,"text":"Laboratoire d'Oceanographie Spatiale IFREMER","active":true,"usgs":false}],"preferred":false,"id":638931,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Signorini, 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Center","active":true,"usgs":true}],"preferred":true,"id":638921,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70186615,"text":"70186615 - 2016 - Pockmarks in Passamaquoddy Bay, New Brunswick, Canada","interactions":[],"lastModifiedDate":"2017-04-10T09:48:42","indexId":"70186615","displayToPublicDate":"2016-06-15T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1790,"text":"Geological Society, London, Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"Pockmarks in Passamaquoddy Bay, New Brunswick, Canada","docAbstract":"Pockmarks are seafloor depressions associated with fluid escape (Judd & Hovland 2007). They proliferate in the muddy seafloors of coastal Gulf of Maine and Bay of Fundy, where they are associated with shallow natural gas likely of biogenic origin (Ussler et al. 2003; Rogers et al. 2006; Wildish et al. 2008). In North America, shallow-water pockmark fields are not reported south of Long Island Sound, despite the abundance of gassy, muddy estuaries. The absence of pockmarks south of the limit of North American glaciation suggests that local and regional heterogeneities, possibly related to glacial or sea-level history or bedrock geology, influence pockmark field distribution. In shallow-water embayments, such as Passamaquoddy Bay, New Brunswick, pockmarks can be large (>200 m diameter) and number in the thousands.
","language":"English","publisher":"The Geological Society","publisherLocation":"London","doi":"10.1144/M46.60","usgsCitation":"Brothers, L.L., Legere, C., Hughes Clark, J., Kelley, J., Barnhardt, W., Andrews, B., and Belknap, D., 2016, Pockmarks in Passamaquoddy Bay, New Brunswick, Canada: Geological Society, London, Memoirs, v. 46, p. 111-112, https://doi.org/10.1144/M46.60.","productDescription":"2 p.","startPage":"111","endPage":"112","ipdsId":"IP-061303","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":339495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"New Brunswick","otherGeospatial":"Passamaquoddy Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.181396484375,\n 44.91668060637917\n ],\n [\n -66.86141967773438,\n 44.91668060637917\n ],\n [\n -66.86141967773438,\n 45.188812246819055\n ],\n [\n -67.181396484375,\n 45.188812246819055\n ],\n [\n -67.181396484375,\n 44.91668060637917\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-30","publicationStatus":"PW","scienceBaseUri":"58ebadade4b0b4d95d32009b","contributors":{"authors":[{"text":"Brothers, Laura L. 0000-0003-2986-5166 lbrothers@usgs.gov","orcid":"https://orcid.org/0000-0003-2986-5166","contributorId":176698,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura","email":"lbrothers@usgs.gov","middleInitial":"L.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legere, Christine","contributorId":89781,"corporation":false,"usgs":true,"family":"Legere","given":"Christine","email":"","affiliations":[],"preferred":false,"id":689967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes Clark, J.E.","contributorId":190618,"corporation":false,"usgs":false,"family":"Hughes Clark","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":689968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelley, J.T.","contributorId":190620,"corporation":false,"usgs":false,"family":"Kelley","given":"J.T.","email":"","affiliations":[],"preferred":false,"id":689969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnhardt, Walter wbarnhardt@usgs.gov","contributorId":190621,"corporation":false,"usgs":true,"family":"Barnhardt","given":"Walter","email":"wbarnhardt@usgs.gov","affiliations":[],"preferred":true,"id":689970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Andrews, Brian bandrews@usgs.gov","contributorId":190622,"corporation":false,"usgs":true,"family":"Andrews","given":"Brian","email":"bandrews@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":689971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belknap, D.F.","contributorId":190623,"corporation":false,"usgs":false,"family":"Belknap","given":"D.F.","email":"","affiliations":[],"preferred":false,"id":689972,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173545,"text":"70173545 - 2016 - Influences of summer water temperatures on the movement, distribution, and resources use of fluvial Westslope Cutthroat Trout in the South Fork Clearwater River basin","interactions":[],"lastModifiedDate":"2016-06-14T15:02:00","indexId":"70173545","displayToPublicDate":"2016-06-14T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Influences of summer water temperatures on the movement, distribution, and resources use of fluvial Westslope Cutthroat Trout in the South Fork Clearwater River basin","docAbstract":"Although many Westslope Cutthroat Trout Oncorhynchus clarkii lewisi populations in Idaho are robust and stable, population densities in some systems remain below management objectives. In many of those systems, such as in the South Fork Clearwater River (SFCR) system, environmental conditions (e.g., summer temperatures) are hypothesized to limit populations of Westslope Cutthroat Trout. Radiotelemetry and snorkeling methods were used to describe seasonal movement patterns, distribution, and habitat use of Westslope Cutthroat Trout in the SFCR during the summers of 2013 and 2014. Sixty-six radio transmitters were surgically implanted into Westslope Cutthroat Trout (170–405 mm TL) from May 30–June 25, 2013, and June 20–July 6, 2014. Sedentary and mobile summer movement patterns by Westslope Cutthroat Trout were observed in the SFCR. Westslope Cutthroat Trout were generally absent from the lower SFCR. In the upper region of the SFCR, fish generally moved from the main-stem SFCR into tributaries as water temperatures increased during the summer. Fish remained in the middle region of the SFCR where water temperatures were cooler than in the upper or lower regions of the SFCR. A spatially explicit water temperature model indicated that the upper and lower regions of the SFCR exceeded thermal tolerance levels of Westslope Cutthroat Trout throughout the summer. During snorkeling, 23 Westslope Cutthroat Trout were observed in 13 sites along the SFCR and at low density (mean ± SD, 0.0003 ± 0.0001 fish/m2). The distribution of fish observed during snorkeling was consistent with the distribution of radio-tagged fish in the SFCR during the summer. Anthropogenic activities (i.e., grazing, mining, road construction, and timber harvest) in the SFCR basin likely altered the natural flow dynamics and temperature regime and thereby limited stream habitat in the SFCR system for Westslope Cutthroat Trout.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1141124","usgsCitation":"Dobos, M.E., Corsi, M., Schill, D.J., DuPont, J.M., and Quist, M.C., 2016, Influences of summer water temperatures on the movement, distribution, and resources use of fluvial Westslope Cutthroat Trout in the South Fork Clearwater River basin: North American Journal of Fisheries Management, v. 36, no. 3, p. 549-567, https://doi.org/10.1080/02755947.2016.1141124.","productDescription":"19 p.","startPage":"549","endPage":"567","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065451","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"South Fork Clearwater River,","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.3067626953125,\n 45.794339630460705\n ],\n [\n -116.3067626953125,\n 46.524855311033434\n ],\n [\n -114.356689453125,\n 46.524855311033434\n ],\n [\n -114.356689453125,\n 45.794339630460705\n ],\n [\n -116.3067626953125,\n 45.794339630460705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"57611c9ee4b04f417c2c32ff","contributors":{"authors":[{"text":"Dobos, Marika E.","contributorId":171810,"corporation":false,"usgs":false,"family":"Dobos","given":"Marika","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":638759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Matthew P.","contributorId":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":638760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schill, Daniel J.","contributorId":66562,"corporation":false,"usgs":true,"family":"Schill","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuPont, Joseph M.","contributorId":171812,"corporation":false,"usgs":false,"family":"DuPont","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":638762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637284,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173850,"text":"70173850 - 2016 - Evidence for common ancestry among viruses isolated from wild birds in Beringia and highly pathogenic intercontinental reassortant H5N1 and H5N2 influenza A viruses","interactions":[],"lastModifiedDate":"2017-02-22T09:43:42","indexId":"70173850","displayToPublicDate":"2016-06-14T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1988,"text":"Infection, Genetics and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for common ancestry among viruses isolated from wild birds in Beringia and highly pathogenic intercontinental reassortant H5N1 and H5N2 influenza A viruses","docAbstract":"Highly pathogenic clade 2.3.4.4 H5N8, H5N2, and H5N1 influenza A viruses were first detected in wild, captive, and domestic birds in North America in November–December 2014. In this study, we used wild waterbird samples collected in Alaska prior to the initial detection of clade 2.3.4.4 H5 influenza A viruses in North America to assess the evidence for: (1) dispersal of highly pathogenic influenza A viruses from East Asia to North America by migratory birds via Alaska and (2) ancestral origins of clade 2.3.4.4 H5 reassortant viruses in Beringia. Although we did not detect highly pathogenic influenza A viruses in our sample collection from western Alaska, we did identify viruses that contained gene segments sharing recent common ancestry with intercontinental reassortant H5N2 and H5N1 viruses. Results of phylogenetic analyses and estimates for times of most recent common ancestry support migratory birds sampled in Beringia as maintaining viral diversity closely related to novel highly pathogenic influenza A virus genotypes detected in North America. Although our results do not elucidate the route by which highly pathogenic influenza A viruses were introduced into North America, genetic evidence is consistent with the hypothesized trans-Beringian route of introduction via migratory birds.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.meegid.2016.02.035","usgsCitation":"Ramey, A.M., Reeves, A.B., Teslaa, J.L., Nashold, S.W., Donnelly, T.F., Bahl, J., and Hall, J.S., 2016, Evidence for common ancestry among viruses isolated from wild birds in Beringia and highly pathogenic intercontinental reassortant H5N1 and H5N2 influenza A viruses: Infection, Genetics and Evolution, v. 40, p. 176-185, https://doi.org/10.1016/j.meegid.2016.02.035.","productDescription":"10 p.","startPage":"176","endPage":"185","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068837","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":470892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.meegid.2016.02.035","text":"Publisher Index Page"},{"id":323581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57611c9de4b04f417c2c32f5","chorus":{"doi":"10.1016/j.meegid.2016.02.035","url":"http://dx.doi.org/10.1016/j.meegid.2016.02.035","publisher":"Elsevier BV","authors":"Ramey Andrew M., Reeves Andrew B., TeSlaa Joshua L., Nashold Sean, Donnelly Tyrone, Bahl Justin, Hall Jeffrey S.","journalName":"Infection, Genetics and Evolution","publicationDate":"6/2016"},"contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638697,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teslaa, Joshua L. 0000-0001-7802-3454 jteslaa@usgs.gov","orcid":"https://orcid.org/0000-0001-7802-3454","contributorId":5794,"corporation":false,"usgs":true,"family":"Teslaa","given":"Joshua","email":"jteslaa@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":638699,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nashold, Sean W. 0000-0002-8869-6633 snashold@usgs.gov","orcid":"https://orcid.org/0000-0002-8869-6633","contributorId":3611,"corporation":false,"usgs":true,"family":"Nashold","given":"Sean","email":"snashold@usgs.gov","middleInitial":"W.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":638700,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Donnelly, Tyrone F. tfdonnelly@usgs.gov","contributorId":4369,"corporation":false,"usgs":true,"family":"Donnelly","given":"Tyrone","email":"tfdonnelly@usgs.gov","middleInitial":"F.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":638698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bahl, Justin","contributorId":171803,"corporation":false,"usgs":false,"family":"Bahl","given":"Justin","affiliations":[{"id":26950,"text":"University of Texas School of Public Health, 1200 Pressler Street, Houston, TX 77030, USA","active":true,"usgs":false}],"preferred":false,"id":638701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":638702,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173840,"text":"70173840 - 2016 - Disease prevalence and snail predation associated with swell-generated damage on the threatened coral, Acropora palmata (Lamarck)","interactions":[],"lastModifiedDate":"2016-06-14T11:39:52","indexId":"70173840","displayToPublicDate":"2016-06-14T12:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Disease prevalence and snail predation associated with swell-generated damage on the threatened coral, Acropora palmata (Lamarck)","docAbstract":"Disturbances such as tropical storms cause coral mortality and reduce coral cover as a direct result of physical damage. Storms can be one of the most important disturbances in coral reef ecosystems, and it is crucial to understand their long-term impacts on coral populations. The primary objective of this study was to determine trends in disease prevalence and snail predation on damaged and undamaged colonies of the threatened coral species, Acropora palmata, following an episode of heavy ocean swells in the US Virgin Islands (USVI). At three sites on St. Thomas and St. John, colonies of A. palmata were surveyed monthly over 1 year following a series of large swells in March 2008 that fragmented 30–93% of colonies on monitored reefs. Post-disturbance surveys conducted from April 2008 through March 2009 showed that swell-generated damage to A. palmata caused negative indirect effects that compounded the initial direct effects of physical disturbance. During the 12 months after the swell event, white pox disease prevalence was 41% higher for colonies that sustained damage from the swells than for undamaged colonies (df = 207, p = 0.01) with greatest differences in disease prevalence occurring during warm water months. In addition, the corallivorous snail, Coralliophila abbreviata, was 46% more abundant on damaged corals than undamaged corals during the 12 months after the swell event (df = 207, p = 0.006).
","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2016.00077","usgsCitation":"Bright, A.J., Rogers, C.S., Brandt, M.E., Muller, E., and Smith, T.B., 2016, Disease prevalence and snail predation associated with swell-generated damage on the threatened coral, Acropora palmata (Lamarck): Frontiers in Marine Science, v. 3, Article 77, https://doi.org/10.3389/fmars.2016.00077.","productDescription":"Article 77","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053130","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470893,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2016.00077","text":"Publisher Index Page"},{"id":323577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"57611c9ce4b04f417c2c32ef","contributors":{"authors":[{"text":"Bright, Allan J.","contributorId":171793,"corporation":false,"usgs":false,"family":"Bright","given":"Allan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Caroline S. 0000-0001-9056-6961 caroline_rogers@usgs.gov","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":3126,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","email":"caroline_rogers@usgs.gov","middleInitial":"S.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":638633,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brandt, Marilyn E.","contributorId":171794,"corporation":false,"usgs":false,"family":"Brandt","given":"Marilyn","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":638679,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muller, Erinn","contributorId":149012,"corporation":false,"usgs":false,"family":"Muller","given":"Erinn","affiliations":[],"preferred":false,"id":638680,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Tyler B.","contributorId":150546,"corporation":false,"usgs":false,"family":"Smith","given":"Tyler","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":638635,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173846,"text":"70173846 - 2016 - Wastewater disposal from unconventional oil and gas development degrades stream quality at a West Virginia injection facility","interactions":[],"lastModifiedDate":"2018-08-07T12:10:53","indexId":"70173846","displayToPublicDate":"2016-06-14T12:15:00","publicationYear":"2016","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":"Wastewater disposal from unconventional oil and gas development degrades stream quality at a West Virginia injection facility","docAbstract":"The development of unconventional oil and gas (UOG) resources has rapidly increased in recent years; however, the environmental impacts and risks are poorly understood. A single well can generate millions of liters of wastewater, representing a mixture of formation brine and injected hydraulic fracturing fluids. One of the most common methods for wastewater disposal is underground injection; we are assessing potential risks of this method through an intensive, interdisciplinary study at an injection disposal facility in West Virginia. In June 2014, waters collected downstream from the site had elevated specific conductance (416 μS/cm) and Na, Cl, Ba, Br, Sr, and Li concentrations, compared to upstream, background waters (conductivity, 74 μS/cm). Elevated TDS, a marker of UOG wastewater, provided an early indication of impacts in the stream. Wastewater inputs are also evident by changes in 87Sr/86Sr in streamwater adjacent to the disposal facility. Sediments downstream from the facility were enriched in Ra and had high bioavailable Fe(III) concentrations relative to upstream sediments. Microbial communities in downstream sediments had lower diversity and shifts in composition. Although the hydrologic pathways were not able to be assessed, these data provide evidence demonstrating that activities at the disposal facility are impacting a nearby stream and altering the biogeochemistry of nearby ecosystems.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.6b00428","usgsCitation":"Akob, D.M., Mumford, A.C., Orem, W.H., Engle, M.A., Klinges, J., Kent, D.B., and Cozzarelli, I.M., 2016, Wastewater disposal from unconventional oil and gas development degrades stream quality at a West Virginia injection facility: Environmental Science & Technology, v. 50, no. 11, p. 5517-5525, https://doi.org/10.1021/acs.est.6b00428.","productDescription":"9 p.","startPage":"5517","endPage":"5525","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075053","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.6b00428","text":"Publisher Index Page"},{"id":323576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-18","publicationStatus":"PW","scienceBaseUri":"57611c9fe4b04f417c2c330c","chorus":{"doi":"10.1021/acs.est.6b00428","url":"http://dx.doi.org/10.1021/acs.est.6b00428","publisher":"American Chemical Society (ACS)","authors":"Akob Denise M., Mumford Adam C., Orem William, Engle Mark A., Klinges J. Grace, Kent Douglas B., Cozzarelli Isabelle M.","journalName":"Environmental Science & Technology","publicationDate":"6/7/2016","auditedOn":"5/20/2016","publiclyAccessibleDate":"5/18/2016"},"contributors":{"authors":[{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":638657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":638658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":638659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engle, Mark A. 0000-0001-5258-7374 engle@usgs.gov","orcid":"https://orcid.org/0000-0001-5258-7374","contributorId":584,"corporation":false,"usgs":true,"family":"Engle","given":"Mark","email":"engle@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":638660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klinges, Julia jklinges@usgs.gov","contributorId":171792,"corporation":false,"usgs":true,"family":"Klinges","given":"Julia","email":"jklinges@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":638661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":638662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":638663,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70173847,"text":"70173847 - 2016 - Endocrine disrupting activities of surface water associated with a West Virginia oil and gas industry wastewater disposal site","interactions":[],"lastModifiedDate":"2018-08-07T11:56:27","indexId":"70173847","displayToPublicDate":"2016-06-14T12:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Endocrine disrupting activities of surface water associated with a West Virginia oil and gas industry wastewater disposal site","docAbstract":"Currently, >95% of end disposal of hydraulic fracturing wastewater from unconventional oil and gas operations in the US occurs via injection wells. Key data gaps exist in understanding the potential impact of underground injection on surface water quality and environmental health. The goal of this study was to assess endocrine disrupting activity in surface water at a West Virginia injection well disposal site. Water samples were collected from a background site in the area and upstream, on, and downstream of the disposal facility. Samples were solid-phase extracted, and extracts assessed for agonist and antagonist hormonal activities for five hormone receptors in mammalian and yeast reporter gene assays. Compared to reference water extracts upstream and distal to the disposal well, samples collected adjacent and downstream exhibited considerably higher antagonist activity for the estrogen, androgen, progesterone, glucocorticoid and thyroid hormone receptors. In contrast, low levels of agonist activity were measured in upstream/distal sites, and were inhibited or absent at downstream sites with significant antagonism. Concurrent analyses by partner laboratories (published separately) describe the analytical and geochemical profiling of the water; elevated conductivity as well as high sodium, chloride, strontium, and barium concentrations indicate impacts due to handling of unconventional oil and gas wastewater. Notably, antagonist activities in downstream samples were at equivalent authentic standard concentrations known to disrupt reproduction and/or development in aquatic animals. Given the widespread use of injection wells for end-disposal of hydraulic fracturing wastewater, these data raise concerns for human and animal health nearby.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2016.03.113","usgsCitation":"Kassotis, C., Iwanowicz, L., Akob, D.M., Cozzarelli, I.M., Mumford, A.C., Orem, W.H., and Nagel, S., 2016, Endocrine disrupting activities of surface water associated with a West Virginia oil and gas industry wastewater disposal site: Science of the Total Environment, v. 557-558, p. 901-910, https://doi.org/10.1016/j.scitotenv.2016.03.113.","productDescription":"10 p.","startPage":"901","endPage":"910","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-074246","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":323575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"557-558","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57611c9ce4b04f417c2c32f2","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":638665,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":638666,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":638664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":638667,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":638668,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orem, William H. 0000-0003-4990-0539 borem@usgs.gov","orcid":"https://orcid.org/0000-0003-4990-0539","contributorId":577,"corporation":false,"usgs":true,"family":"Orem","given":"William","email":"borem@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":638669,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":638670,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70157465,"text":"70157465 - 2016 - Fecal indicator organism modeling and microbial source tracking in environmental waters: Chapter 3.4.6","interactions":[],"lastModifiedDate":"2020-08-25T18:48:31.707401","indexId":"70157465","displayToPublicDate":"2016-06-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3.4.6","title":"Fecal indicator organism modeling and microbial source tracking in environmental waters: Chapter 3.4.6","docAbstract":"Mathematical models have been widely applied to surface waters to estimate rates of settling, resuspension, flow, dispersion, and advection in order to calculate movement of particles that influence water quality. Of particular interest are the movement, survival, and persistence of microbial pathogens or their surrogates, which may contaminate recreational water, drinking water, or shellfish. Most models devoted to microbial water quality have been focused on fecal indicator organisms (FIO), which act as a surrogate for pathogens and viruses. Process-based modeling and statistical modeling have been used to track contamination events to source and to predict future events. The use of these two types of models require different levels of expertise and input; process-based models rely on theoretical physical constructs to explain present conditions and biological distribution while data-based, statistical models use extant paired data to do the same. The selection of the appropriate model and interpretation of results is critical to proper use of these tools in microbial source tracking. Integration of the modeling approaches could provide insight for tracking and predicting contamination events in real time. A review of modeling efforts reveals that process-based modeling has great promise for microbial source tracking efforts; further, combining the understanding of physical processes influencing FIO contamination developed with process-based models and molecular characterization of the population by gene-based (i.e., biological) or chemical markers may be an effective approach for locating sources and remediating contamination in order to protect human health better.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Manual of Environmental Microbiology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"ASM Press","publisherLocation":"Washington, D.C.","doi":"10.1128/9781555818821.ch3.4.6","usgsCitation":"Nevers, M., Byappanahalli, M., Phanikumar, M.S., and Whitman, R.L., 2016, Fecal indicator organism modeling and microbial source tracking in environmental waters: Chapter 3.4.6, chap. 3.4.6 of Manual of Environmental Microbiology, p. 3.4.6-1-3.4.6-16, https://doi.org/10.1128/9781555818821.ch3.4.6.","productDescription":"16 p.","startPage":"3.4.6-1","endPage":"3.4.6-16","ipdsId":"IP-049156","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":340175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"58ff0e9de4b006455f2d61bc","contributors":{"authors":[{"text":"Nevers, Meredith 0000-0001-6963-6734 mnevers@usgs.gov","orcid":"https://orcid.org/0000-0001-6963-6734","contributorId":2013,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"mnevers@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara 0000-0001-5376-597X byappan@usgs.gov","orcid":"https://orcid.org/0000-0001-5376-597X","contributorId":147923,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara","email":"byappan@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Phanikumar, Mantha S.","contributorId":147924,"corporation":false,"usgs":false,"family":"Phanikumar","given":"Mantha","email":"","middleInitial":"S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":692598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitman, Richard L. rwhitman@usgs.gov","contributorId":542,"corporation":false,"usgs":true,"family":"Whitman","given":"Richard","email":"rwhitman@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":573245,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70158965,"text":"sir20155135 - 2016 - Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin","interactions":[],"lastModifiedDate":"2017-10-12T19:57:38","indexId":"sir20155135","displayToPublicDate":"2016-06-14T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5135","title":"Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin","docAbstract":"Mountain snowpack is an important contributor to runoff in the Upper Missouri River Basin; for example, high amounts of winter and spring precipitation in the mountains and plains in 2010–11 were associated with the peak runoff of record in 2011 in the Upper Missouri River Basin. To project trends in peak mountain snowpack and runoff in the upcoming decades, multiple linear regression models of peak mountain snowpack and total May–July runoff were developed for the Fort Peck Lake (above Fort Peck Dam) and lower Lake Sakakawea watersheds (between Fort Peck and Garrison Dams) in the Upper Missouri River Basin. Input to regression models included seasonal estimates of precipitation, air temperature, and total reference evapotranspiration stratified by elevation. Calibration was based on records from 107 weather stations from 1991 to 2011. Regressed annual peak mountain snowpack was used as input to the transfer function of May–July runoff. Peak snowpack and May–July runoff were projected for 2012–99 on the basis of air temperature and precipitation from the Community Climate System Model (CCSM) output. Two estimates of projected peak snowpack and May–July runoff for 2012–99 were computed: one estimate was based on output from the CCSM, version 3.0 (CCSM3), and the second estimate was based on output from the CCSM, version 4.0 (CCSM4). The significance of projected trends was based on the Kendall’s tau nonparametric test.
\nAnnual peak snowpack was projected to have a downward trend for the Fort Peck Lake watershed and an upward trend for the lower Lake Sakakawea watershed. Projections of May–July runoff had a significant downward trend for the Fort Peck Lake, lower Lake Sakakawea, and Lake Sakakawea (combination of Fort Peck Lake and lower Lake Sakakawea) watersheds. Downward trends in projected May–July runoff indicated that power production at Fort Peck Dam might be affected particularly in the later part of the simulation (2061–99); however, confidence in projected May–July runoff for the later part of the simulation was less certain because bias-corrected air temperatures from CCSM3 and CCSM4 commonly fell outside of the observed range used for calibration. Projected May–July runoff combined for the Fort Peck Lake and lower Lake Sakakawea watersheds were on the order of magnitude of the 2011 flood for 1 simulation year for each of the CCSM-based simulations. High peak snowpack and precipitation in April, May, and June in the plains was associated with large May–July runoff events; therefore, high precipitation at lower elevations in the Fort Peck Lake and lower Lake Sakakawea watersheds was a factor in the simulation of extreme runoff events at the magnitude of the 2011 flood.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155135","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Stamm, J.F.; Todey, Dennis; Mayes Boustead, Barbara; Rossi, Shawn; Norton, P.A.; and Carter, J.M., 2016, Modern (1992–2011) and projected (2012–99) peak snowpack and May–July runoff for the Fort Peck Lake and Lake Sakakawea watersheds in the Upper Missouri River Basin (ver. 1.2, June 2016): U.S. Geological Survey Scientific Investigations Report 2015–5135, 44 p., https://dx.doi.org/10.3133/sir20155135.","productDescription":"Report: vii, 44 p.; 6 Companion Files","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063643","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science 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U.S. Geological Survey
1608 Mountain View Road
Rapid City, South Dakota 57702
Or visit the South Dakota Water Science Center Web site at:
http://sd.water.usgs.gov/
Longitudinal gradients of fish assemblage and habitat structure were investigated in the Kootenai River of northern Idaho. A total of 43 500-m river reaches was sampled repeatedly with several techniques (boat-mounted electrofishing, hoop nets and benthic trawls) in the summers of 2012 and 2013. Differences in habitat and fish assemblage structure were apparent along the longitudinal gradient of the Kootenai River. Habitat characteristics (e.g. depth, substrate composition and water velocity) were related to fish assemblage structure in three different geomorphic river sections. Upper river sections were characterized by native salmonids (e.g. mountain whitefish Prosopium williamsoni), whereas native cyprinids (peamouth Mylocheilus caurinus, northern pikeminnow Ptychocheilus oregonensis) and non-native fishes (pumpkinseed Lepomis gibbosus, yellow perch Perca flavescens) were common in the downstream section. Overall, a general pattern of species addition from upstream to downstream sections was discovered and is likely related to increased habitat complexity and additions of non-native species in downstream sections. Assemblage structure of the upper sections were similar, but were both dissimilar to the lower section of the Kootenai River. Species-specific hurdle regressions indicated the relationships among habitat characteristics and the predicted probability of occurrence and relative abundance varied by species. Understanding fish assemblage structure in relation to habitat could improve conservation efforts of rare fishes and improve management of coldwater river systems.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2877","usgsCitation":"Smith, C.D., Quist, M.C., and Hardy, R.S., 2016, Fish assemblage structure and habitat associations in a large western river system: River Research and Applications, v. 32, no. 4, p. 622-638, https://doi.org/10.1002/rra.2877.","productDescription":"17 p.","startPage":"622","endPage":"638","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053516","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.13623046874999,\n 46.875213396722685\n ],\n [\n -116.01562499999999,\n 46.875213396722685\n ],\n [\n -116.01562499999999,\n 49.05227025601607\n ],\n [\n -117.13623046874999,\n 49.05227025601607\n ],\n [\n -117.13623046874999,\n 46.875213396722685\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-15","publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b266f","contributors":{"authors":[{"text":"Smith, C. 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This annual freezing event represents a dramatic physical disturbance to fauna living within intertidal sediments. The main objectives of this study were to describe the benthic communities of Beaufort Sea deltas, including temporal changes and trophic structure. Understanding benthic invertebrate communities provided a baseline for concurrent research on shorebird foraging ecology at these sites. We found that despite continuous year-to-year episodes of annual freezing, these estuarine deltas are populated by a range of invertebrates that represent both marine and freshwater assemblages. Freshwater organisms like Diptera and Oligochaeta not only survive this extreme event, but a marine invasion of infaunal organisms such as Amphipoda and Polychaeta rapidly recolonizes the delta mudflats following ice ablation. These delta sediments of sand, silt, and clay are fine in structure compared to sediments of other Beaufort Sea coastal intertidal habitats. The relatively depauperate invertebrate community that ultimately develops is composed of marine and freshwater benthic invertebrates. The composition of the infauna also reflects two strategies that make life on Beaufort Sea deltas possible: a migration of marine organisms from deeper lagoons to the intertidal and freshwater biota that survive the 9-month ice-covered period in frozen sediments. Stable isotopic analyses reveal that both infaunal assemblages assimilate marine and terrestrial sources of organic carbon. These results provide some of the first quantitative information on the infaunal food resources of shallow arctic estuarine systems and the long-term persistence of these invertebrate assemblages. Our data help explain the presence of large numbers of shorebirds in these habitats during the brief summer open-water period and their trophic importance to migrating waterfowl and nearshore populations of estuarine fishes that are the basis of subsistence lifestyles by native inhabitants of the Beaufort Sea coast.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-015-0028-2","usgsCitation":"Churchwell, R.T., Kendall, S.J., Blanchard, A.L., Dunton, K., and Powell, A.N., 2016, Natural disturbance shapes benthic intertidal macroinvertebrate communities of high latitude river deltas: Estuaries and Coasts, v. 39, no. 3, p. 798-814, https://doi.org/10.1007/s12237-015-0028-2.","productDescription":"17 p.","startPage":"798","endPage":"814","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062684","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-09-01","publicationStatus":"PW","scienceBaseUri":"575fcb1ee4b04f417c2b2675","contributors":{"authors":[{"text":"Churchwell, Roy T.","contributorId":171773,"corporation":false,"usgs":false,"family":"Churchwell","given":"Roy","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":638606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":638607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blanchard, Amy L.","contributorId":171774,"corporation":false,"usgs":false,"family":"Blanchard","given":"Amy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunton, Kenneth H.","contributorId":171775,"corporation":false,"usgs":false,"family":"Dunton","given":"Kenneth H.","affiliations":[],"preferred":false,"id":638609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powell, Abby N. 0000-0002-9783-134X abby_powell@usgs.gov","orcid":"https://orcid.org/0000-0002-9783-134X","contributorId":171426,"corporation":false,"usgs":true,"family":"Powell","given":"Abby","email":"abby_powell@usgs.gov","middleInitial":"N.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637344,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70171411,"text":"ds1003 - 2016 - Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10","interactions":[],"lastModifiedDate":"2019-11-07T12:14:29","indexId":"ds1003","displayToPublicDate":"2016-06-13T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1003","title":"Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10","docAbstract":"The U.S. Geological Survey, in cooperation with the Tennessee Duck River Development Agency, monitored water quality at several locations in the upper Duck River watershed between October 2007 and September 2010. Discrete water samples collected at 24 sites in the watershed were analyzed for water quality, and Escherichia coli (E. coli) and enterococci concentrations. Additional analyses, including the determination of anthropogenic-organic compounds, bacterial concentration of resuspended sediment, and bacterial-source tracking, were performed at a subset of sites. Continuous monitoring of streamflow, turbidity, and specific conductance was conducted at seven sites; a subset of sites also was monitored for water temperature and dissolved oxygen concentration. Multiple-regression models were developed to predict instantaneous E. coli concentrations and loads at sites with continuous monitoring. This data collection effort, along with the E. coli models and predictions, support analyses of the relations among land use, bacteria source and transport, and basin hydrology in the upper Duck River watershed.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1003","collaboration":"Prepared in cooperation with the Tennessee Duck River Development Agency","usgsCitation":"Murphy, Jennifer, Farmer, James, and Layton, Alice, 2016, Water-quality data and Escherichia coli predictions for selected karst catchments of the upper Duck River watershed in central Tennessee, 2007–10:\nU.S. Geological Survey Data Series 1003, 17 p., https://dx.doi.org/10.3133/ds1003.","productDescription":"Report: v, 17 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-10-01","ipdsId":"IP-059652","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":438613,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7445JKC","text":"USGS data release","linkHelpText":"Water-quality datasets and E. coli predictions for selected streams in the Upper Duck River Watershed, central Tennessee, 2007-2010"},{"id":323294,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1003/coverthb.jpg"},{"id":323295,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1003/ds1003.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":" Data Series 1003"},{"id":323304,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7445JKC","text":"USGS data release - Water-quality datasets and E. coli predictions for selected streams in the Upper Duck River Watershed, central Tennessee, 2007–10","description":"USGS Data Release"}],"country":"United States","state":"Tennessee","otherGeospatial":"Duck River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.66908264160156,\n 35.45395828344931\n ],\n [\n -86.39579772949219,\n 35.45395828344931\n ],\n [\n -86.39579772949219,\n 35.66566448946006\n ],\n [\n -86.66908264160156,\n 35.66566448946006\n ],\n [\n -86.66908264160156,\n 35.45395828344931\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Lower Mississippi Gulf Water Science Center
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640 Grassmere Park, Ste 100
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This study presents new radiometric ages from volcanic ash beds within a c. 1900 m thick, progradational, deep-water clastic slope succession of late Miocene age exposed along the north Taranaki coast of the North Island, New Zealand. The ash beds yield U–Pb zircon ages ranging from 10.63 ± 0.65 Ma to 8.97 ± 0.22 Ma. The new ages are compatible with and provide corroboration of New Zealand Tongaporutuan Stage planktic foraminiferal and bolboformid biostratigraphic events identified in the same section. The close accord between these two age datasets provides a stratigraphically consistent and coherent basis for examining margin evolution. The arrival of a prograding clastic wedge and ensuing upward shoaling is recorded by sedimentation rates c. 2000 m/Ma–1 that are an order of magnitude higher than sedimentation rates on the precursor deep basin floor. This outcrop study provides new constraints for interpreting analogous subsurface deposits in Taranaki Basin and complements the regional late Miocene biostratigraphic dating framework.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00288306.2015.1132744","usgsCitation":"Maier, K., Crundwell, M.P., Coble, M., Kingsley-Smith, P.R., and Graham, S.A., 2016, Refined depositional history and dating of the Tongaporutuan reference section, north Taranaki, New Zealand: new volcanic ash U-Pb zircon ages, biostratigraphy and sedimentation rates: New Zealand Journal of Geology and Geophysics, v. 59, no. 2, p. 313-329, https://doi.org/10.1080/00288306.2015.1132744.","productDescription":"17 p.","startPage":"313","endPage":"329","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049381","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00288306.2015.1132744","text":"Publisher Index Page"},{"id":323487,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Taranaki","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 173.99322509765625,\n -39.0746437429325\n ],\n [\n 173.99322509765625,\n -38.63725461835643\n ],\n [\n 174.71145629882812,\n -38.63725461835643\n ],\n [\n 174.71145629882812,\n -39.0746437429325\n ],\n [\n 173.99322509765625,\n -39.0746437429325\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-24","publicationStatus":"PW","scienceBaseUri":"575fcb1fe4b04f417c2b267d","contributors":{"authors":[{"text":"Maier, K.L.","contributorId":51568,"corporation":false,"usgs":true,"family":"Maier","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":638523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crundwell, Martin P.","contributorId":171752,"corporation":false,"usgs":false,"family":"Crundwell","given":"Martin","email":"","middleInitial":"P.","affiliations":[{"id":26939,"text":"GNS Science, Lower Hutt, New Zealand","active":true,"usgs":false}],"preferred":false,"id":638524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coble, Matthew A.","contributorId":86622,"corporation":false,"usgs":true,"family":"Coble","given":"Matthew A.","affiliations":[],"preferred":false,"id":638525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kingsley-Smith, Peter R.","contributorId":99895,"corporation":false,"usgs":true,"family":"Kingsley-Smith","given":"Peter","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Stephan A.","contributorId":45902,"corporation":false,"usgs":true,"family":"Graham","given":"Stephan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":638527,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173828,"text":"70173828 - 2016 - Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama","interactions":[],"lastModifiedDate":"2016-06-13T13:26:57","indexId":"70173828","displayToPublicDate":"2016-06-13T14:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama","docAbstract":"The chemical composition of formation water and associated gases from the lower Cretaceous Paluxy Formation was determined using four different sampling methods at a characterization well in the Citronelle Oil Field, Alabama, as part of the Southeast Regional Carbon Sequestration Partnership (SECARB) Phase III Anthropogenic Test, which is an integrated carbon capture and storage project. In this study, formation water and gas samples were obtained from well D-9-8 #2 at Citronelle using gas lift, electric submersible pump, U-tube, and a downhole vacuum sampler (VS) and subjected to both field and laboratory analyses. Field chemical analyses included electrical conductivity, dissolved sulfide concentration, alkalinity, and pH; laboratory analyses included major, minor and trace elements, dissolved carbon, volatile fatty acids, free and dissolved gas species. The formation water obtained from this well is a Na–Ca–Cl-type brine with a salinity of about 200,000 mg/L total dissolved solids. Differences were evident between sampling methodologies, particularly in pH, Fe and alkalinity. There was little gas in samples, and gas composition results were strongly influenced by sampling methods. The results of the comparison demonstrate the difficulty and importance of preserving volatile analytes in samples, with the VS and U-tube system performing most favorably in this aspect.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2016.06.001","usgsCitation":"Conaway, C.H., Thordsen, J., Manning, M.A., Cook, P.J., Trautz, R.C., Thomas, B., and Kharaka, Y.K., 2016, Comparison of geochemical data obtained using four brine sampling methods at the SECARB Phase III Anthropogenic Test CO2 injection site, Citronelle Oil Field, Alabama: International Journal of Coal Geology, v. 162, p. 85-95, https://doi.org/10.1016/j.coal.2016.06.001.","productDescription":"11 p.","startPage":"85","endPage":"95","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075978","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1327451","text":"Publisher Index Page"},{"id":323486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"162","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575fcb1de4b04f417c2b2669","contributors":{"authors":[{"text":"Conaway, Christopher H. 0000-0002-0991-033X cconwaya@usgs.gov","orcid":"https://orcid.org/0000-0002-0991-033X","contributorId":127598,"corporation":false,"usgs":true,"family":"Conaway","given":"Christopher","email":"cconwaya@usgs.gov","middleInitial":"H.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thordsen, James J. jthordsn@usgs.gov","contributorId":3329,"corporation":false,"usgs":true,"family":"Thordsen","given":"James J.","email":"jthordsn@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manning, Michael A. mmanning@usgs.gov","contributorId":1994,"corporation":false,"usgs":true,"family":"Manning","given":"Michael","email":"mmanning@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Paul J.","contributorId":171753,"corporation":false,"usgs":false,"family":"Cook","given":"Paul","email":"","middleInitial":"J.","affiliations":[{"id":26940,"text":"Lawrence Berkeley National Laboratories Earth Science Division, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":638531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Trautz, Robert C.","contributorId":171754,"corporation":false,"usgs":false,"family":"Trautz","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":26941,"text":"Electric Power Research Institute, Palo Alto, CA","active":true,"usgs":false}],"preferred":false,"id":638532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Burt","contributorId":95454,"corporation":false,"usgs":true,"family":"Thomas","given":"Burt","affiliations":[],"preferred":false,"id":638533,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kharaka, Yousif K. 0000-0001-9861-8260 ykharaka@usgs.gov","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":1928,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","email":"ykharaka@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":638534,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70164457,"text":"fs20153083 - 2016 - Water resources of Washington Parish, Louisiana","interactions":[],"lastModifiedDate":"2016-06-13T16:14:02","indexId":"fs20153083","displayToPublicDate":"2016-06-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3083","title":"Water resources of Washington Parish, Louisiana","docAbstract":"Information concerning the availability, use, and quality of water in Washington Parish, Louisiana, is critical for proper water-resource management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. Information on the availability, past and current use, use trends, and water quality from groundwater and surface-water sources in the parish is presented. Previously published reports and data stored in the U.S. Geological Survey’s National Water Information System (http://waterdata.usgs.gov/nwis) are the primary sources of the information presented here.
\nIn 2010, about 34.55 million gallons per day (Mgal/d) of water were withdrawn in Washington Parish, including about 28.10 Mgal/d from groundwater sources and 6.44 Mgal/d from surface-water sources1 (table 1). Withdrawals for industrial use accounted for about 52 percent (17.80 Mgal/d) of the total water withdrawn (table 2). Other categories of use included public supply, rural domestic, irrigation, and livestock. Water-use data collected at 5-year intervals from 1960 to 2010 (fig. 2) indicated that water withdrawals peaked in 1975 at about 51.9 Mgal/d.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153083","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., and Prakken, L.B., 2016, Water resources of Washington Parish, Louisiana: U.S. Geological Survey Fact Sheet 2015–3083, 6 p., https://dx.doi.org/10.3133/fs20153083.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065602","costCenters":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"links":[{"id":323476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3083/fs20153083.pdf","text":"Fact Sheet","size":"866 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015–3083"},{"id":323475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3083/coverthb.jpg"}],"country":"United 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Lower Mississippi-Gulf Water Science Center
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3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-06-13","noUsgsAuthors":false,"publicationDate":"2016-06-13","publicationStatus":"PW","scienceBaseUri":"575fcb21e4b04f417c2b2685","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prakken, Lawrence B. lprakken@usgs.gov","contributorId":139067,"corporation":false,"usgs":true,"family":"Prakken","given":"Lawrence B.","email":"lprakken@usgs.gov","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":638515,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173559,"text":"70173559 - 2016 - Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers","interactions":[],"lastModifiedDate":"2019-12-14T06:55:00","indexId":"70173559","displayToPublicDate":"2016-06-13T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers","docAbstract":"
Nonwadeable rivers are unique ecosystems that support high levels of aquatic biodiversity, yet they have been greatly altered by human activities. Although riverine fish assemblages have been studied in the past, we still have an incomplete understanding of how fish assemblages respond to both natural and anthropogenic influences in large rivers. The purpose of this study was to evaluate associations between fish assemblage structure and reach-scale habitat, dam, and watershed land use characteristics. In the summers of 2011 and 2012, comprehensive fish and environmental data were collected from 33 reaches in the Iowa and Cedar rivers of eastern-central Iowa. Canonical correspondence analysis (CCA) was used to evaluate environmental relationships with species relative abundance, functional trait abundance (e.g. catch rate of tolerant species), and functional trait composition (e.g. percentage of tolerant species). On the basis of partial CCAs, reach-scale habitat, dam characteristics, and watershed land use features explained 25.0–81.1%, 6.2–25.1%, and 5.8–47.2% of fish assemblage variation, respectively. Although reach-scale, dam, and land use factors contributed to overall assemblage structure, the majority of fish assemblage variation was constrained by reach-scale habitat factors. Specifically, mean annual discharge was consistently selected in nine of the 11 CCA models and accounted for the majority of explained fish assemblage variance by reach-scale habitat. This study provides important insight on the influence of anthropogenic disturbances across multiple spatial scales on fish assemblages in large river systems.
","language":"English","publisher":"John Wiley & Sons","doi":"10.1002/rra.2844","usgsCitation":"Parks, T.P., Quist, M.C., and Pierce, C., 2016, Anthropogenic disturbance and environmental associations with fish assemblage structure in two nonwadeable rivers: River Research and Applications, v. 32, no. 1, p. 66-84, https://doi.org/10.1002/rra.2844.","productDescription":"19 p.","startPage":"66","endPage":"84","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043810","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470901,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/97","text":"External Repository"},{"id":323527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","otherGeospatial":"Cedar River, Iowa River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.758056640625,\n 41.566141964768384\n ],\n [\n -93.251953125,\n 43.866218006556394\n ],\n [\n -93.779296875,\n 43.691707903073805\n ],\n [\n -92.74658203125,\n 42.47209690919285\n ],\n [\n -91.395263671875,\n 41.376808565702355\n ],\n [\n -91.07666015625,\n 41.31082388091818\n ],\n [\n -90.758056640625,\n 41.566141964768384\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-08","publicationStatus":"PW","scienceBaseUri":"575fcb1be4b04f417c2b2665","contributors":{"authors":[{"text":"Parks, T. P.","contributorId":171776,"corporation":false,"usgs":false,"family":"Parks","given":"T.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839 mquist@usgs.gov","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":171392,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","email":"mquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":637298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pierce, C.L. 0000-0001-5088-5431","orcid":"https://orcid.org/0000-0001-5088-5431","contributorId":93606,"corporation":false,"usgs":true,"family":"Pierce","given":"C.L.","affiliations":[],"preferred":false,"id":638612,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70171327,"text":"ofr20161072 - 2016 - California State Waters Map Series — Monterey Canyon and vicinity, California","interactions":[],"lastModifiedDate":"2022-04-19T18:40:06.435029","indexId":"ofr20161072","displayToPublicDate":"2016-06-10T12:00:00","publicationYear":"2016","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":"2016-1072","title":"California State Waters Map Series — Monterey Canyon and vicinity, California","docAbstract":"In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within the 3-nautical-mile limit of California’s State Waters. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath bathymetry data, acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow subsurface geology.
The Monterey Canyon and Vicinity map area lies within Monterey Bay in central California. Monterey Bay is one of the largest embayments along the west coast of the United States, spanning 36 km from its northern to southern tips (in Santa Cruz and Monterey, respectively) and 20 km along its central axis. Not only does it contain one of the broadest sections of continental shelf along California’s coast, it also contains Monterey Canyon, one of the largest and deepest submarine canyons in the world. Note that the California’s State Waters limit extends farther offshore between Santa Cruz and Monterey so that it encompasses all of Monterey Bay.
The coastal area within the map area is lightly populated. The community of Moss Landing (population, 204) hosts the largest commercial fishing fleet in Monterey Bay in its harbor. The map area also includes parts of the cities of Marina (population, about 20,000) and Castroville (population, about 6,500). Fertile lowlands of the Salinas River and Pajaro River valleys largely occupy the inland part of the map area, and land use is primarily agricultural.
The offshore part of the map area lies completely within the Monterey Bay National Marine Sanctuary. The map area also includes Portuguese Ledge and Soquel Canyon State Marine Conservation Areas. Designated conservation and (or) recreation areas in the onshore part of the map area include Salinas River National Wildlife Refuge, Elkhorn Slough State Marine Conservation Area, Elkhorn Slough State Marine Reserve, Moss Landing Wildlife Area, Zmudowski and Salinas River State Beaches, and Marina Dunes Preserve.
Monterey Bay, a geologically complex area within a tectonically active continental margin, lies between two major, converging strike-slip faults. The northwest-striking San Andreas Fault lies about 34 km east of Monterey Bay; this section of the fault ruptured in both the 1989 M6.9 Loma Prieta earthquake and the 1906 M7.8 great California earthquake. The northwest-striking San Gregorio Fault crosses Monterey Canyon west of Monterey Bay. Between these two regional faults, strain is accommodated by the northwest-striking Monterey Bay Fault Zone. Deformation associated with these major regional faults and related structures has resulted in uplift of the Santa Cruz Mountains, as well as the granitic highlands of the Monterey peninsula.
Monterey Canyon begins in the nearshore area directly offshore of Moss Landing and Elkhorn Slough, and it can be traced for more than 400 km seaward, out to water depths of more than 4,000 m. Within the map area, the canyon can be traced for about 42 km to a water depth of about 1,520 m. The head of the canyon consists of three branches that begin about 150 m offshore of Moss Landing Harbor. At 500 m offshore, the canyon is already 70 m deep and 750 m wide. Large sand waves, which have heights from 1 to 3 m and wavelengths of about 50 m, are present along the channel axis in the upper 4 km of the canyon.
Soquel Canyon is the most prominent tributary of Monterey Canyon within the map area. The head of Soquel Canyon is isolated from coastal watersheds and, thus, is considered inactive as a conduit for coarse sediment transport.
North and south of Monterey and Soquel Canyons, the relatively flat continental shelf contains only a few rocky outcrop exposures. Bedrock is covered largely by sediment derived from the Salinas and Pajaro Rivers. North of Monterey Canyon, the broad and flat continental shelf dips gently seaward, to water depths of about 95 m. To the south, the shelf also dips slightly, to water depths of as much as 150 m along the canyon edge.
In the map area, Monterey Canyon splits the Santa Cruz littoral cell (north of the canyon) and the southern Monterey littoral cell (south of the canyon). It is estimated that about 400,000 m3/yr of sand on average enters Monterey Canyon from both of these littoral cells.
In the Santa Cruz littoral cell, sand generally travels east and south. Sand is supplied through sea cliff erosion, as well as from the San Lorenzo River, the Pajaro River, and several other smaller coastal watersheds. About 152,911 m3/yr of sand is dredged from the entrance channel of the Santa Cruz Small Craft Harbor north of the map area and then placed on beaches to the east (downdrift) of it. This sand feeds the beaches in the southeastern reach of the Santa Cruz littoral cell and (or) is eventually trapped and lost by Monterey Canyon.
The southern Monterey Bay littoral cell in the map area consists of two subcells. From the head of Monterey Canyon to the Salinas River, littoral drift is dominantly to the north; sand entering the ocean from the Salinas River either is deposited offshore or travels north in the littoral zone, nourishing the beaches until it is transported down Monterey Canyon. From south of the Salinas River to the southern extent of the map area, coastal sediment is moved mainly to the south; dune erosion is the only significant source of sand in this subcell.
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The purpose of this project was to develop a technique to use environmental DNA (eDNA) to distinguish between redds made by Chinook salmon (Oncorhynchus tshawytscha) and redds made by Coho salmon (O. kisutch) and to distinguish utilized redds from test/abandoned redds or scours that have the appearance of redds. The project had two phases:
Phase 1. Develop, test, and optimize a molecular assay for detecting and identifying Coho salmon DNA and differentiating it from Chinook salmon DNA.
Phase 2. Demonstrate the efficacy of the technique.
The Sandy River is a large tributary of the Columbia River. The Sandy River meets the Columbia River approximately 23 km upstream of Portland, Oregon. The Sandy River Basin provides overlapping spawning habitat for both Chinook and Coho salmon.
Samples provided by Portland Water Bureau for analysis were collected from the Bull Run River, Sixes Creek, Still Creek, Arrah Wanna Side Channel, and Side Channel 18.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161091","collaboration":"Prepared in cooperation with Portland Water Bureau","usgsCitation":"Pilliod, D.S., and Laramie, M.B., 2016, Salmon redd identification using environmental DNA (eDNA): U.S. Geological Survey Open-File Report 2016–1091, 25 p., https://dx.doi.org/10.3133/ofr20161091.","productDescription":"iv, 25 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064586","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":323430,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1091/coverthb3.jpg"},{"id":323387,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1091/ofr20161091.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1091"}],"country":"United States","state":"Oregon","otherGeospatial":"Sandy River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.28744506835938,\n 45.298075138707965\n ],\n [\n -122.28744506835938,\n 45.481317798141255\n ],\n [\n -121.84112548828125,\n 45.481317798141255\n ],\n [\n -121.84112548828125,\n 45.298075138707965\n ],\n [\n -122.28744506835938,\n 45.298075138707965\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330
http://fresc.usgs.gov/
The U.S. Geological Survey conducted a bathymetric survey in Little Holland Tract, a flooded agricultural tract, in the northern Sacramento-San Joaquin Delta (the “Delta”) during the summer of 2015. The new bathymetric data were combined with existing data to generate a digital elevation model (DEM) at 1-meter resolution. Little Holland Tract (LHT) was historically diked off for agricultural uses and has been tidally inundated since an accidental levee breach in 1983. Shallow tidal regions such as LHT have the potential to improve habitat quality in the Delta. The DEM of LHT was developed to support ongoing studies of habitat quality in the area and to provide a baseline for evaluating future geomorphic change. The new data comprise 138,407 linear meters of real-time-kinematic (RTK) Global Positioning System (GPS) elevation data, including both bathymetric data collected from personal watercraft and topographic elevations collected on foot at low tide. A benchmark (LHT15_b1) was established for geodetic control of the survey. Data quality was evaluated both by comparing results among surveying platforms, which showed systematic offsets of 1.6 centimeters (cm) or less, and by error propagation, which yielded a mean vertical uncertainty of 6.7 cm. Based on the DEM and time-series measurements of water depth, the mean tidal prism of LHT was determined to be 2,826,000 cubic meters. The bathymetric data and DEM are available at http://dx.doi.org/10.5066/F7RX9954.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161093","usgsCitation":"Snyder, A.G., Lacy, J.R., Stevens, A.W., and Carlson, E.M., 2016, Bathymetric survey and digital elevation model of Little Holland Tract, Sacramento-San Joaquin Delta, California: U.S. Geological Survey Open-File Report 2016‒1093, 14 p., https://dx.doi.org/10.3133/ofr20161093. ","productDescription":"iv, 14 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-071752","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":323417,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1093/ofr20161093.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1093"},{"id":323416,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1093/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.69349670410158,\n 38.27632714009116\n ],\n [\n -121.69349670410158,\n 38.34556060133404\n ],\n [\n -121.64148330688475,\n 38.34556060133404\n ],\n [\n -121.64148330688475,\n 38.27632714009116\n ],\n [\n -121.69349670410158,\n 38.27632714009116\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Pacific Coastal and Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060
http://walrus.wr.usgs.gov/
The ability to characterize baseline streamflow conditions, compare them with current conditions, and assess effects of human activities on streamflow is fundamental to water-management programs addressing water allocation, human-health issues, recreation needs, and establishment of ecological flow criteria. The U.S. Geological Survey, through the National Water Census, has developed the Delaware River Basin Streamflow Estimator Tool (DRB-SET) to estimate baseline (minimally altered) and altered (affected by regulation, diversion, mining, or other anthropogenic activities) and altered streamflow at a daily time step for ungaged stream locations in the Delaware River Basin for water years 1960–2010. Daily mean baseline streamflow is estimated by using the QPPQ method to equate streamflow expressed as a percentile from the flow-duration curve (FDC) for a particular day at an ungaged stream location with the percentile from a FDC for the same day at a hydrologically similar gaged location where streamflow is measured. Parameter-based regression equations were developed for 22 exceedance probabilities from the FDC for ungaged stream locations in the Delaware River Basin. Water use data from 2010 is used to adjust the baseline daily mean streamflow generated from the QPPQ method at ungaged stream locations in the Delaware River Basin to reflect current, or altered, conditions. To evaluate the effectiveness of the overall QPPQ method contained within DRB-SET, a comparison of observed and estimated daily mean streamflows was performed for 109 reference streamgages in and near the Delaware River Basin. The Nash-Sutcliffe efficiency (NSE) values were computed as a measure of goodness of fit. The NSE values (using log10 streamflow values) ranged from 0.22 to 0.98 (median of 0.90) for 45 streamgages in the Upper Delaware River Basin and from -0.37 to 0.98 (median of 0.79) for 41 streamgages in the Lower Delaware River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155157","collaboration":"National Water Census","usgsCitation":"Stuckey, M.H., 2016, Estimation of daily mean streamflow for ungaged stream locations in the Delaware River Basin, water years 1960–2010: U.S. Geological Survey Scientific Investigations Report 2015–5157, 42 p., https://dx.doi.org/10.3133/sir20155157.","productDescription":"v, 42 p.","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066276","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":322017,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151192","text":"User’s Guide for the Delaware River Basin Streamflow Estimator Tool (DRB-SET)","description":"SIR 2015-5157"},{"id":321421,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5157/coverthb.jpg"},{"id":321422,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5157/sir20155157.pdf","text":"Report","size":"6.64 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5157"}],"country":"United States","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4815673828125,\n 39.70296052957233\n ],\n [\n -74.498291015625,\n 39.8465036024177\n ],\n [\n -74.4927978515625,\n 40.26695230509781\n ],\n [\n -74.970703125,\n 40.75974059207392\n ],\n [\n -74.6685791015625,\n 40.979898069620155\n ],\n [\n -74.5806884765625,\n 41.335575973123895\n ],\n [\n -74.11376953125,\n 42.13082130188811\n ],\n [\n -74.9432373046875,\n 42.44372793752476\n ],\n [\n -75.574951171875,\n 42.00848901572399\n ],\n [\n -75.8880615234375,\n 41.244772343082104\n ],\n [\n -76.343994140625,\n 40.329795743702064\n ],\n [\n -76.04736328125,\n 39.73253798438173\n ],\n [\n -75.4815673828125,\n 39.70296052957233\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Coordinator—National Water Census
U.S. Geological Survey
1770 Corporate Drive
Suite 500
Norcross, GA 30093
Or visit the National Water Census Web site at:
http://water.usgs.gov/watercensus
The Delaware River Basin Streamflow Estimator Tool (DRB-SET) is a tool for the simulation of streamflow at a daily time step for an ungaged stream location in the Delaware River Basin. DRB-SET was developed by the U.S. Geological Survey (USGS) and funded through WaterSMART as part of the National Water Census, a USGS research program on national water availability and use that develops new water accounting tools and assesses water availability at the regional and national scales. DRB-SET relates probability exceedances at a gaged location to those at an ungaged stream location. Once the ungaged stream location has been identified by the user, an appropriate streamgage is automatically selected in DRB-SET using streamflow correlation (map correlation method). Alternately, the user can manually select a different streamgage or use the closest streamgage. A report file is generated documenting the reference streamgage and ungaged stream location information, basin characteristics, any warnings, baseline (minimally altered) and altered (affected by regulation, diversion, mining, or other anthropogenic activities) daily mean streamflow, and the mean and median streamflow. The estimated daily flows for the ungaged stream location can be easily exported as a text file that can be used as input into a statistical software package to determine additional streamflow statistics, such as flow duration exceedance or streamflow frequency statistics.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151192","usgsCitation":"Stuckey, M.H., and Ulrich, J.E., 2016, User’s Guide for the Delaware River Basin Streamflow Estimator Tool (DRB-SET): U.S. Geological Survey Open-File Report 2015–1192, 6 p., https://dx.doi.org/10.3133/ofr20151192.","productDescription":"iv, 6 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-069187","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":322015,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20155157","text":"Estimation of Daily Mean Streamflow for Ungaged Stream Locations in the Delaware River Basin, Water Years 1960–2010","description":"OFR 2015-1192"},{"id":322012,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1192/coverthb.jpg"},{"id":322016,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://www.usgs.gov/software/delaware-river-basin-streamflow-estimator-tool-drb-set","text":"Delaware River Basin Streamflow Estimator Tool (DRB-SET)","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1192"},{"id":322013,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1192/ofr20151192.pdf","text":"Report","size":"1.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1192"}],"contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
http://pa.water.usgs.gov/
Pacific trout Oncorhynchus spp. in western North America are strongly valued in ecological, socioeconomic, and cultural views, and have been the subject of substantial research and conservation efforts. Despite this, the understanding of their evolutionary histories, overall diversity, and challenges to their conservation is incomplete. We review the state of knowledge on these important issues, focusing on Pacific trout in the genus Oncorhynchus. Although most research on salmonid fishes emphasizes Pacific salmon, we focus on Pacific trout because they share a common evolutionary history, and many taxa in western North America have not been formally described, particularly in the southern extent of their ranges. Research in recent decades has led to the revision of many hypotheses concerning the origin and diversification of Pacific trout throughout their range. Although there has been significant success at addressing past threats to Pacific trout, contemporary and future threats represented by nonnative species, land and water use activities, and climate change pose challenges and uncertainties. Ultimately, conservation of Pacific trout depends on how well these issues are understood and addressed, and on solutions that allow these species to coexist with a growing scope of human influences.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/03632415.2016.1175888","usgsCitation":"Penaluna, B.E., Abadia-Cardoso, A., Dunham, J.B., Garcia de Leon, F.J., Gresswell, R.E., Luna, A.R., Taylor, E.B., Shepard, B.B., Al-Chokhachy, R.K., Muhlfeld, C.C., Bestgen, K.R., Rogers, K.H., Escalante, M.A., Keeley, E.R., Temple, G., Williams, J.E., Matthews, K., Pierce, R., Mayden, R.L., Kovach, R., Garza, J.C., and Fausch, K., 2016, Conservation of native Pacific trout diversity in western North America: Fisheries, v. 41, no. 6, p. 286-300, https://doi.org/10.1080/03632415.2016.1175888.","productDescription":"5 p.","startPage":"286","endPage":"300","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070620","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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L.","contributorId":12746,"corporation":false,"usgs":true,"family":"Mayden","given":"Richard","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638019,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":638020,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Garza, John Carlos","contributorId":171579,"corporation":false,"usgs":false,"family":"Garza","given":"John","email":"","middleInitial":"Carlos","affiliations":[{"id":26922,"text":"NOAA/NMFS Southwest Fisheries Science 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Research","active":true,"publicationSubtype":{"id":10}},"title":"Analysis of environmental factors influencing salinity patterns, oyster growth, and mortality in lower Breton Sound Estuary, Louisiana using 20 years of data","docAbstract":"Freshwater inflow characteristics define estuarine functioning by delivering nutrients, sediments, and freshwater, which affect biological resources and ultimately system production. Using 20 years of water quality, weather, and oyster growth and mortality data from Breton Sound Estuary (BSE), Louisiana, we examined the relationship of riverine, weather, and tidal influence on estuarine salinity, and the relationship of salinity to oyster growth and mortality. Mississippi River discharge was found to be the most important factor determining salinity patterns over oyster grounds within lower portions of BSE, with increased river flow associated with lowered salinities, while easterly winds associated with increased salinity were less influential. These patterns were consistent throughout the year. Salinity and temperature (season) were found to critically control oyster growth and mortality, suggesting that seasonal changes to river discharge affecting water quality over the oyster grounds have profound impacts on oyster populations. The management of oyster reefs in estuaries (such as BSE) requires an understanding of how estuarine hydrodynamics and salinity are influenced by forcing factors such as winds, river flow, and by the volume, timing, and location of controlled releases of riverine water.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-15-00146.1","usgsCitation":"LaPeyre, M.K., Geaghan, J., Decossas, G.A., and La Peyre, J.F., 2016, Analysis of environmental factors influencing salinity patterns, oyster growth, and mortality in lower Breton Sound Estuary, Louisiana using 20 years of data: Journal of Coastal Research, v. 32, no. 3, p. 519-530, https://doi.org/10.2112/JCOASTRES-D-15-00146.1.","productDescription":"12 p.","startPage":"519","endPage":"530","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061906","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lower Breton Sound Estuary","volume":"32","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"575933aee4b04f417c253d0a","contributors":{"authors":[{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":637425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geaghan, James","contributorId":171569,"corporation":false,"usgs":false,"family":"Geaghan","given":"James","email":"","affiliations":[],"preferred":false,"id":637952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Decossas, Gary A.","contributorId":21472,"corporation":false,"usgs":true,"family":"Decossas","given":"Gary","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":637954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174236,"text":"70174236 - 2016 - Post-release survival and movement of Western Grebes (Aechmophorus occidentalis) implanted with intracoelomic satellite transmitters","interactions":[],"lastModifiedDate":"2017-10-30T09:48:35","indexId":"70174236","displayToPublicDate":"2016-06-08T06:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Post-release survival and movement of Western Grebes (Aechmophorus occidentalis) implanted with intracoelomic satellite transmitters","docAbstract":"The main goal of this study was to gain knowledge on post-release survival and movement of Western Grebes (Aechmophorus occidentalis) using a modified technique for implanting satellite transmitters. This technique had improved post-surgical survival in an earlier study. Nine Western Grebes, implanted with intracoelomic (within the body cavity) satellite transmitters with percutaneous antennae, were released close to their capture site in San Francisco Bay, California, USA. Eight survived at least 25 days (average number of transmittal days was 140.8), while two had transmitters that provided data for greater than 1 year (436 and 454 days). The average cumulative distance recorded for all Western Grebes (n = 9) was 829 km with two round-trip movements documented. One individual Western Grebe traveled a cumulative round-trip distance of 2,144 km in July and November 2011, while another individual traveled a round-trip distance of 1,514 km between 8 and 14 December 2011. This study provides a step forward in testing implantable satellite transmitters in Western Grebes and highlights the need to further improve tracking methods, potentially improving our understanding of their population threats.
","language":"English","publisher":"Waterbird Society","doi":"10.1675/063.039.0208","usgsCitation":"Mills, K.L., Gaydos, J.K., Fiorello, C.V., Whitmer, E., De La Cruz, S., Mulcahy, D.M., Vilchis, L.I., and Ziccardi, M.H., 2016, Post-release survival and movement of Western Grebes (Aechmophorus occidentalis) implanted with intracoelomic satellite transmitters: Waterbirds, v. 39, no. 2, p. 175-186, https://doi.org/10.1675/063.039.0208.","productDescription":"12 p.","startPage":"175","endPage":"186","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051534","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":324763,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Clear Lake, Drews Reservoir, San Francisco Bay, Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.07958984375001,\n 32.602361666817515\n ],\n [\n -124.07958984375001,\n 43.24520272203359\n ],\n [\n -116.3232421875,\n 43.24520272203359\n ],\n [\n -116.3232421875,\n 32.602361666817515\n ],\n [\n -124.07958984375001,\n 32.602361666817515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"577e2bb1e4b0ef4d2f445a36","contributors":{"authors":[{"text":"Mills, Kyra L.","contributorId":172677,"corporation":false,"usgs":false,"family":"Mills","given":"Kyra","email":"","middleInitial":"L.","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaydos, Joseph K.","contributorId":28456,"corporation":false,"usgs":true,"family":"Gaydos","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":641546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fiorello, Christine V.","contributorId":172678,"corporation":false,"usgs":false,"family":"Fiorello","given":"Christine","email":"","middleInitial":"V.","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitmer, Emily","contributorId":172679,"corporation":false,"usgs":false,"family":"Whitmer","given":"Emily","email":"","affiliations":[{"id":27076,"text":"Oiled Wildlife Care Network, UC Davis","active":true,"usgs":false}],"preferred":false,"id":641548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Susan sdelacruz@usgs.gov","contributorId":131159,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"sdelacruz@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":641549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mulcahy, Daniel M. dmulcahy@usgs.gov","contributorId":3102,"corporation":false,"usgs":true,"family":"Mulcahy","given":"Daniel","email":"dmulcahy@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":641550,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vilchis, L. Ignacio","contributorId":172680,"corporation":false,"usgs":false,"family":"Vilchis","given":"L.","email":"","middleInitial":"Ignacio","affiliations":[{"id":24831,"text":"San Diego Zoo Institute for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":641551,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ziccardi, Michael H.","contributorId":16677,"corporation":false,"usgs":true,"family":"Ziccardi","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":641552,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70170774,"text":"sir20165057 - 2016 - Vulnerabilities of national parks in the American Midwest to climate and land use changes","interactions":[],"lastModifiedDate":"2016-06-08T15:43:53","indexId":"sir20165057","displayToPublicDate":"2016-06-08T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5057","title":"Vulnerabilities of national parks in the American Midwest to climate and land use changes","docAbstract":"Many national parks in the American Midwest are surrounded by agricultural or urban areas or are in highly fragmented or rapidly changing landscapes. An environmental stressor is a physical, chemical, or biological condition that affects the functioning or productivity of species or ecosystems. Climate change is just one of many stressors on park natural resources; others include urbanization, land use change, air and water pollution, and so on. Understanding and comparing the relative vulnerability of a suite of parks to projected climate and land use changes is important for region-wide planning. A vulnerability assessment of 60 units in the 13-state U.S. National Park Service Midwestern administrative region to climate and land use change used existing data from multiple sources. Assessment included three components: individual park exposure (5 metrics), sensitivity (5 metrics), and constraints to adaptive capacity (8 metrics) under 2 future climate scenarios. The three components were combined into an overall vulnerability score. Metrics were measures of existing or projected conditions within park boundaries, within 10-kilometer buffers surrounding parks, and within ecoregions that contain or intersect them. Data were normalized within the range of values for all assessed parks, resulting in high, medium, and low relative rankings for exposure, sensitivity, constraints to adaptive capacity, and overall vulnerability. Results are consistent with assessments regarding patterns and rates of climate change nationwide but provide greater detail and relative risk for Midwestern parks. Park overall relative vulnerability did not differ between climate scenarios. Rankings for exposure, sensitivity, and constraints to adaptive capacity varied geographically and indicate regional conservation planning opportunities. The most important stressors for the most vulnerable Midwestern parks are those related to sensitivity (intrinsic characteristics of the park) and constraints on adaptive capacity (characteristics of the surrounding landscape) rather than exposure to external forces, including climate change. Output will allow individual park managers to understand which metrics weigh most heavily in the overall vulnerability of their park and can be used for region-wide responses and resource allocation for adaptation efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165057","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Stroh, E.D., Struckhoff, M., Shaver, D., and Karstensen, K., 2016, Vulnerabilities of national parks in the American Midwest to climate and land use changes: U.S. Geological Survey Scientific Investigations Report 2016–5057, 20 p., https://dx.doi.org/10.3133/sir20165057.","productDescription":"Report: iv, 20 p.; Appendix","startPage":"1","endPage":"20","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-070869","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":321783,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://dx.doi.org/10.5066/F78913XX","text":"Appendix 1","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2016–5057 Appendix 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\"}}]}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, Missouri 65203