{"pageNumber":"625","pageRowStart":"15600","pageSize":"25","recordCount":68919,"records":[{"id":70041484,"text":"70041484 - 2013 - Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea","interactions":[],"lastModifiedDate":"2018-09-05T12:40:33","indexId":"70041484","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea","docAbstract":"Icebreaker-based sampling in the northern Bering Sea south of St. Lawrence Island in March of 2008, 2009, and 2010 has provided new data on overall ecosystem function early in the annual productive cycle. While water-column chlorophyll concentrations (<25 mg m<sup>−2</sup> integrated over the whole water column) are two orders of magnitude lower than observed during the spring bloom in May, sea-ice algal inventories of chlorophyll are high (up to 1 g m<sup>−3</sup> in the bottom 2-cm of sea-ice). Vertical fluxes of chlorophyll as measured in sediment traps were between 0.3 to 3.7 mg m<sup>−2</sup> d<sup>−1</sup> and were consistent with the recent deposition (days to weeks time scale) of chlorophyll to the surface sediments (0–25 mg m<sup>−2</sup> present at 0–1 cm). Sediment oxygen respiration rates were lower than previous measurements that followed the spring bloom, but were highest in areas of known high benthic biomass. Early spring release of sedimentary ammonium occurs, particularly southeast of St. Lawrence Island, leading to bottom-water ammonium concentrations of >5 µM. These data, together with other physical, biological, and nutrient data are presented here in conjunction with observed sea-ice dynamics and the distribution of an apex predator, the Spectacled Eider (Somateria fischeri). Sea-ice dynamics in addition to benthic food availability, as determined by sedimentation processes, play a role in the distribution of spectacled eiders, which cannot always access the greatest biomass of their preferred bivalve prey. Overall, the data and observations indicate that the northern Bering Sea is biologically active in late winter, but with strong atmospheric and hydrographic controls. These controls pre-determine nutrient and chlorophyll distributions, water-column mixing, as well as pelagic-benthic coupling.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.dsr2.2013.03.009","usgsCitation":"Cooper, L.W., Sexson, M.G., Grebmeier, J., Gradinger, R., Mordy, C., and Lovvorn, J., 2013, Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 94, no. October 2013, p. 31-43, https://doi.org/10.1016/j.dsr2.2013.03.009.","productDescription":"13 p.","startPage":"31","endPage":"43","ipdsId":"IP-040792","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":269844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr2.2013.03.009"}],"otherGeospatial":"Bering Sea","volume":"94","issue":"October 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddfe4b0cf4196fef2dd","contributors":{"authors":[{"text":"Cooper, L. W.","contributorId":25782,"corporation":false,"usgs":false,"family":"Cooper","given":"L.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":469823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grebmeier, J.M.","contributorId":43932,"corporation":false,"usgs":true,"family":"Grebmeier","given":"J.M.","affiliations":[],"preferred":false,"id":469824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gradinger, R.","contributorId":14706,"corporation":false,"usgs":true,"family":"Gradinger","given":"R.","email":"","affiliations":[],"preferred":false,"id":469820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mordy, C.W.","contributorId":20621,"corporation":false,"usgs":true,"family":"Mordy","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":469821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovvorn, J.R.","contributorId":11165,"corporation":false,"usgs":true,"family":"Lovvorn","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":469819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044740,"text":"sir20125247 - 2013 - Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2013-03-21T14:03:42","indexId":"sir20125247","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5247","title":"Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","docAbstract":"Ninety percent of the drinking water for New York City passes through the Hillview Reservoir facility in the City of Yonkers, Westchester County, New York. In the past, several seeps located downslope from the reservoir have flowed out from the side of the steepest slope at the southern end of the earthen embankment. One seep that has been flowing continuously was discovered during an inspection of the embankment in 1999. Efforts were made in 2001 to locate the potential sources of the continuous flowing seep. In 2005, the U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, began a cooperative study to investigate the relevant hydrogeologic framework to characterize the local groundwater-flow system and to determine possible sources of the seeps. The two agencies used hydrologic and surface geophysical techniques to assess the earthen embankment of the Hillview Reservoir. Between April 1, 2005 and March 1, 2008, water levels were measured manually each month at 46 wells surrounding the reservoir, and flow was measured monthly at three of the five seeps on the embankment. Water levels were measured hourly in the East Basin of the reservoir, at 24 of 46 wells, and discharge was measured hourly at two of the five seeps. Slug tests were performed at 16 wells to determine the hydraulic conductivity of the geologic material surrounding the screened zone. Estimated hydraulic conductivities for 25 wells on the southern embankment ranged from 0.0063 to 1.2 feet per day and averaged 0.17 foot per day. The two-dimensional resistivity surveys indicate a subsurface mound of electrically conductive material (low-resistivity zone) beneath the terrace area (top of dam) surrounding the reservoir with a distinct elevation increase closer to the crest. Two-dimensional shear wave velocity surveys indicate a similar structure of the high shear wave velocity materials (high-velocity zone), increasing in elevation toward the crest and decreasing toward the reservoir and toward the northern part of the study area. Water-quality samples collected from 12 wells, downtake chamber 1 of the reservoir, and two seeps detected the presence of arsenic, toluene, and two trihalomethanes. Water-quality samples collected at the two seeps detected fluoride, indicating a connection with reservoir water.\n\nShallow wells on the southern embankment exhibited the largest seasonal water-level fluctuations ranging between 6 feet and 12 feet. The embankment is constructed from reworked low-permeability glacial deposits at the site. Water-level responses in observation wells within the embankment indicate that there is a shallow (approximately the upper 45 feet of the embankment) and a deep water-bearing unit within the embankment with a large downward vertical gradient between the shallow and deep water-bearing units. Precipitation strongly affected water levels in shallow wells, whereas the basin appears to be the main control on water levels in the deep wells. Seeps on the embankment slope appear to be caused by above-average precipitation that increases water levels in the shallow water-bearing unit, but does not easily recharge the deep water-bearing unit. Based on the data that have been analyzed, source water to the seeps appears to be primarily groundwater and, to a lesser extent, water from the East Basin of the reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125247","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, A., Stumm, F., Joesten, P.K., and Noll, M.L., 2013, Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Scientific Investigations Report 2012-5247, vii, 64 p., https://doi.org/10.3133/sir20125247.","productDescription":"vii, 64 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":269858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125247.gif"},{"id":269856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5247/"},{"id":269857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5247/pdf/sir2012-5247_report_508.pdf"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.982887,40.878872 ], [ -73.982887,41.36384 ], [ -73.482709,41.36384 ], [ -73.482709,40.878872 ], [ -73.982887,40.878872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddee4b0cf4196fef2d9","contributors":{"authors":[{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":476266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044743,"text":"sim3246 - 2013 - Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","interactions":[],"lastModifiedDate":"2013-03-21T16:12:53","indexId":"sim3246","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3246","title":"Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","docAbstract":"Digital flood-inundation maps for a 4.0-mile reach of the Iroquois River at Rensselaer, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at (http://waterdata.usgs.gov/in/nwis/uv?site_no=05522500). In addition, the National Weather Service (NWS) forecasts flood hydrographs at the Rensselaer streamgage. That forecasted peak-stage information, also available on the Internet (http://water.weather.gov/ahps/), may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nFor this study, flood profiles were computed for the Iroquois River reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (June 27, 2012) stage-discharge relations at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind., and high-water marks from the flood of July 2003. The calibrated hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Rensselaer, Ind., and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3246","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., and Bunch, A.R., 2013, Flood-inundation maps for the Iroquois River at Rensselaer, Indiana: U.S. Geological Survey Scientific Investigations Map 3246, Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory, https://doi.org/10.3133/sim3246.","productDescription":"Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3246.png"},{"id":269868,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3246/SIM3246_map_sheets_pdf"},{"id":269869,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3246/Downloads"},{"id":269866,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3246/"},{"id":269867,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3246/pdf/SIM3246.pdf"}],"country":"United States","state":"Indiana","city":"Rensselaer","otherGeospatial":"Iroquois River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.216667,40.55 ], [ -87.216667,40.966667 ], [ -87.1,40.966667 ], [ -87.1,40.55 ], [ -87.216667,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d5","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044712,"text":"ofr20131056 - 2013 - Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California","interactions":[],"lastModifiedDate":"2013-03-21T13:48:02","indexId":"ofr20131056","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1056","title":"Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California","docAbstract":"At the request of the U.S. Bureau of Land Management, we performed a study during April–July 2010 to characterize mercury (Hg), monomethyl mercury (MMeHg), and other geochemical constituents in sediment, water, and biota at the Clyde Gold Mine and the Elgin Mercury Mine, located in neighboring subwatersheds of Sulphur Creek, Colusa County, California. This study was in support of a Comprehensive Environmental Response, Compensation, and Liability Act - Removal Site Investigation. The investigation was in response to an abatement notification from the California Central Valley Regional Water Quality Control Board to evaluate the release of Hg from the Clyde and Elgin mines. Samples of water, sediment, and biota (aquatic macroinvertebrates) were collected from sites upstream and downstream from the two mine sites to evaluate the level of Hg contamination contributed by each mine to the aquatic ecosystem. Physical parameters, as well as dissolved organic carbon, total Hg (Hg<sub>T</sub>), and MMeHg were analyzed in water and sediment. Other relevant geochemical constituents were analyzed in sediment, filtered water, and unfiltered water. Samples of aquatic macroinvertebrates from each mine were analyzed for Hg<sub>T</sub> and MMeHg. The presence of low to moderate concentrations of Hg<sub>T</sub> and MMeHg in water, sediment, and biota from the Freshwater Branch of Sulphur Creek, and the lack of significant increases in these concentrations downstream from the Clyde Mine indicated that this mine is not a significant source of Hg to the watershed during low flow conditions. Although concentrations of Hg<sub>T</sub> and MMeHg were generally higher in samples of sediment and water from the Elgin Mine compared to the Clyde Mine, concentrations in comparable biota from the two mine areas were similar. It is likely that highly saline effluent from nearby hot springs contribute more Hg to the West Fork of Sulphur Creek than the mine waste material at the Elgin Mine.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131056","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Hothem, R.L., Rytuba, J.J., Brussee, B.E., and Goldstein, D., 2013, Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California: U.S. Geological Survey Open-File Report 2013-1056, viii, 38 p., https://doi.org/10.3133/ofr20131056.","productDescription":"viii, 38 p.","numberOfPages":"46","additionalOnlineFiles":"N","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":269855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131056.jpg"},{"id":269853,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1056/"},{"id":269854,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1056/pdf/ofr20131056.pdf"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Sulphur Creek;Clyde Gold Mine;Elgin Mercury Mine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.785099,38.923908 ], [ -122.785099,39.414632 ], [ -121.795349,39.414632 ], [ -121.795349,38.923908 ], [ -122.785099,38.923908 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1dd9e4b0cf4196fef2c1","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":476253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":476254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":476255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":476256,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044668,"text":"ds750 - 2013 - Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11","interactions":[],"lastModifiedDate":"2016-08-05T14:21:39","indexId":"ds750","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","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":"750","title":"Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Trinity Glen Rose Groundwater Conservation District, the Edwards Aquifer Authority, and the San Antonio River Authority, developed a geodatabase of springs within and surrounding the Trinity aquifer outcrops in a 331-square-mile study area in northern Bexar County, Texas. The data used to develop the geodatabase were compiled from existing reports and databases, along with spring data collected between October 2010 and September 2011. Characteristics including the location, discharge, and water-quality properties were collected for known springs and documented in the geodatabase. A total of 141 springs were located within the study area, and 46 springs were field verified. The discharge at springs with flow ranged from 0.003 to 1.46 cubic feet per second. The specific conductance of the water discharging from the springs ranged from 167 to 1,130 microsiemens per centimeter at 25 degrees Celsius with a majority of values in the range of 500 microsiemens per centimeter at 25 degrees Celsius.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds750","collaboration":"Prepared in cooperation with Trinity Glen Rose Groundwater Conservation District, Edwards Aquifer Authority, and San Antonio River Authority","usgsCitation":"Clark, A.K., Pedraza, D.E., Morris, R., and Garcia, T.J., 2013, Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11: U.S. Geological Survey Data Series 750, Document: vi, 20 p.; Downloads Directory, https://doi.org/10.3133/ds750.","productDescription":"Document: vi, 20 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":269777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds750.gif"},{"id":269774,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/750/"},{"id":269775,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/750/pdf/ds750.pdf"},{"id":269776,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/750/downloads/"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.81,29.11 ], [ -98.81,29.76 ], [ -98.12,29.76 ], [ -98.12,29.11 ], [ -98.81,29.11 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514acc5fe4b0040b38150c89","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Travis J.","contributorId":26173,"corporation":false,"usgs":true,"family":"Garcia","given":"Travis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476198,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188514,"text":"70188514 - 2013 - Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","interactions":[],"lastModifiedDate":"2017-06-14T13:36:29","indexId":"70188514","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","docAbstract":"<p><span>Northern peatlands have accumulated large carbon (C) stocks, acting as a long-term atmospheric C sink since the last deglaciation. How these C-rich ecosystems will respond to future climate change, however, is still poorly understood. Furthermore, many northern peatlands exist in regions underlain by permafrost, adding to the challenge of projecting C balance under changing climate and permafrost dynamics. In this study, we used a paleoecological approach to examine the effect of past climates and local disturbances on vegetation and C accumulation at a peatland complex on the southern Seward Peninsula, Alaska over the past ∼15&nbsp;ka (1&nbsp;ka&nbsp;=&nbsp;1000&nbsp;cal&nbsp;yr BP). We analyzed two cores about 30&nbsp;m apart, NL10-1 (from a permafrost peat plateau) and NL10-2 (from an adjacent thermokarst collapse-scar bog), for peat organic matter (OM), C accumulation rates, macrofossil, pollen and grain size analysis.</span></p><p><span>A wet rich fen occurred during the initial stages of peatland development at the thermokarst site (NL10-2). The presence of tree pollen from <i>Picea</i><span> spp. and </span><i>Larix laricinia</i><span> at 13.5–12.1&nbsp;ka indicates a warm regional climate, corresponding with the well-documented Bølling–Allerød warm period. A cold and dry climate interval at 12.1–11.1&nbsp;ka is indicated by the disappearance of tree pollen and increase in Poaceae pollen and an increase in woody material, likely representing a local expression of the Younger Dryas (YD) event. Following the YD, the warm Holocene Thermal Maximum (HTM) is characterized by the presence of </span><i>Populus</i><span> pollen, while the presence of </span><i>Sphagnum</i><span> spp. and increased C accumulation rates suggest high peatland productivity under a warm climate. Toward the end of the HTM and throughout the mid-Holocene a wet climate-induced several major flooding disturbance events at 10&nbsp;ka, 8.1&nbsp;ka, 6&nbsp;ka, 5.4&nbsp;ka and 4.7&nbsp;ka, as evidenced by decreases in OM, and increases in coarse sand abundance and aquatic fossils (algae </span><i>Chara</i><span> and water fleas </span><i>Daphnia</i><span>). The initial peatland at permafrost site (NL10-1) is characterized by rapid C accumulation (66&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span>), high OM content and a peak in </span><i>Sphagnum</i><span> spp. at 5.8–4.6&nbsp;ka, suggesting the lack of permafrost. A transition to extremely low C accumulation rates of 6.3&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> after 4.5&nbsp;ka at this site suggests the onset of permafrost aggradation, likely in response to Neoglacial climate cooling as documented across the circum-Arctic region. A similar decrease in C accumulation rates also occurred at non-permafrost site NL10-2. Time-weighted C accumulation rates are 21.8&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> for core NL10-1 during the last ∼6.5&nbsp;ka and 14.8&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> for core NL10-2 during the last ∼15&nbsp;ka. Evidence from peat-core analysis and historical aerial photographs shows an abrupt increase in </span><i>Sphagnum</i><span> spp. and decrease in area of thermokarst lakes over the last century, suggesting major changes in hydrology and ecosystem structure, likely due to recent climate warming.</span></span></p><p><span><span>Our results show that the thermokarst–permafrost complex was much more dynamic with high C accumulation rates under warmer climates in the past, while permafrost was stabilized and C accumulation slowed down following the Neoglacial cooling in the late Holocene. Furthermore, permafrost presence at local scales is controlled by both regional climate and site-specific factors, highlighting the challenge in projecting responses of permafrost peatlands and their C dynamics to future climate change.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2012.11.019","usgsCitation":"Hunt, S.D., Yu, Z., and Jones, M.C., 2013, Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska: Quaternary Science Reviews, v. 63, p. 42-58, https://doi.org/10.1016/j.quascirev.2012.11.019.","productDescription":"16 p.","startPage":"42","endPage":"58","ipdsId":"IP-042048","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.47381591796875,\n              64.66225203688786\n            ],\n            [\n              -163.41699600219727,\n              64.66225203688786\n            ],\n            [\n              -163.41699600219727,\n              64.68105206571617\n            ],\n            [\n              -163.47381591796875,\n              64.68105206571617\n            ],\n            [\n              -163.47381591796875,\n              64.66225203688786\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc6b","contributors":{"authors":[{"text":"Hunt, Stephanie D.","contributorId":58532,"corporation":false,"usgs":true,"family":"Hunt","given":"Stephanie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":698173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":698174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698109,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044652,"text":"70044652 - 2013 - Choices in recreational water quality monitoring: new opportunities and health risk trade-offs","interactions":[],"lastModifiedDate":"2013-04-04T14:15:05","indexId":"70044652","displayToPublicDate":"2013-03-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Choices in recreational water quality monitoring: new opportunities and health risk trade-offs","docAbstract":"With the recent release of new recreational water quality monitoring criteria, there are more options for regulatory agencies seeking to protect beachgoers from waterborne pathogens. Included are methods that can reduce analytical time, providing timelier estimates of water quality, but the application of these methods has not been examined at most beaches for expectation of health risk and management decisions. In this analysis, we explore health and monitoring outcomes expected at Lake Michigan beaches using protocols for indicator bacteria including culturable Escherichia coli (E. coli; EC), culturable enterococci (ENT), and enterococci as analyzed by qPCR (QENT). Correlations between method results were generally high, except at beaches with historically high concentrations of EC. The “beach action value” was exceeded most often when using EC or ENT as the target indicator; QENT exceeded the limit far less frequently. Measured water quality between years was varied. Although methods with equivalent health expectation have been established, the lack of relationship among method outcomes and annual changes in mean indicator bacteria concentrations complicates the decision-making process. The monitoring approach selected by beach managers may be a combination of available tools that maximizes timely health protection, cost efficiency, and collaboration among beach jurisdictions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"ACS Publications","publisherLocation":"Washington, D.C.","doi":"10.1021/es304408y","usgsCitation":"Nevers, M.B., Byappanahalli, M., and Whitman, R.L., 2013, Choices in recreational water quality monitoring: new opportunities and health risk trade-offs: Environmental Science & Technology, v. 47, no. 7, p. 3073-3081, https://doi.org/10.1021/es304408y.","productDescription":"9 p.","startPage":"3073","endPage":"3081","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":269709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269708,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es304408y"}],"volume":"47","issue":"7","noUsgsAuthors":false,"publicationDate":"2013-03-18","publicationStatus":"PW","scienceBaseUri":"5149830de4b0971933f6364c","contributors":{"authors":[{"text":"Nevers, Meredith B.","contributorId":91803,"corporation":false,"usgs":true,"family":"Nevers","given":"Meredith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":476131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byappanahalli, Muruleedhara N.","contributorId":47335,"corporation":false,"usgs":true,"family":"Byappanahalli","given":"Muruleedhara N.","affiliations":[],"preferred":false,"id":476130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":476129,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044641,"text":"sir20125198 - 2013 - Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009","interactions":[],"lastModifiedDate":"2013-03-18T16:26:32","indexId":"sir20125198","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5198","title":"Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009","docAbstract":"Groundwater-quality data from public and private sources for the period 1946 to 2009 were compiled and put into a common data repository for the Piceance Basin. The data repository is available on the web at http://rmgsc.cr.usgs.gov/cwqdr/Piceance/index.shtml. A subset of groundwater-quality data from the repository was compiled, reviewed, and checked for quality assurance for this report. The resulting dataset consists of the most recently collected sample from 1,545 wells, 1,007 (65 percent) of which were domestic wells. From those samples, the following constituents were selected for presentation in this report: dissolved oxygen, dissolved solids, pH, major ions (chloride, sulfate, fluoride), trace elements (arsenic, barium, iron, manganese, selenium), nitrate, benzene, toluene, ethylbenzene, xylene, methane, and the stable isotopic compositions of water and methane.\n\nSome portion of recharge to most of the wells for which data were available was derived from precipitation (most likely snowmelt), as indicated by δ2H [H2O] and δ18O[H2O] values that plot along the Global Meteoric Water Line and near the values for snow samples collected in the study area. Ninety-three percent of the samples were oxic, on the basis of concentrations of dissolved oxygen that were greater than or equal to 0.5 milligrams per liter.\n\nConcentration data were compared with primary and secondary drinking-water standards established by the U.S. Environmental Protection Agency. Constituents that exceeded the primary standards were arsenic (13 percent), selenium (9.2 percent), fluoride (8.4 percent), barium (4.1 percent), nitrate (1.6 percent), and benzene (0.6 percent). Concentrations of toluene, xylenes, and ethylbenzene did not exceed standards in any samples. Constituents that exceeded the secondary standard were dissolved solids (72 percent), sulfate (37 percent), manganese (21 percent), iron (16 percent), and chloride (10 percent). Drinking-water standards have not been established for methane, which was detected in 24 percent of samples. Methane concentrations were greater than or equal to 1 milligram per liter in 8.5 percent of samples. Methane isotopic data for samples collected primarily from domestic wells in Garfield County indicate that methane in samples with relative high methane concentrations were derived from both biogenic and thermogenic sources. Many of the constituents that exceeded standards, such as arsenic, fluoride, iron, and manganese, were derived from rock and sediment in aquifers. Elevated nitrate concentrations were most likely derived from human sources such as fertilizer and human or animal waste.\n\nInformation about the geologic unit or aquifer in which a well was completed generally was not provided by data sources. However, limited data indicate that Quaternary deposits in Garfield and Mesa Counties, the Wasatch Formation in Garfield County, and the Green River Formation in Rio Blanco County had some of the highest median concentrations of selected constituents. Variations in concentration with depth could not be evaluated because of the general lack of well-depth and water-level data.\n\nConcentrations of several important constituents, such as arsenic, manganese, methane, and nitrate, were related to concentrations of dissolved oxygen. Concentrations of arsenic, manganese, and methane were significantly higher in groundwater with low dissolved-oxygen concentrations than in groundwater with high dissolved-oxygen concentrations. In contrast, concentrations of nitrate were significantly higher in groundwater with high dissolved-oxygen concentrations than in groundwater with low dissolved-oxygen concentrations. These results indicate that measurements of dissolved oxygen may be a useful indicator of groundwater vulnerability to some human-derived contaminants and enrichment from some natural constituents.\n\nAssessing such a large and diverse dataset as the one available through the repository poses unique challenges for reporting on groundwater quality in the study area. The repository contains data from several studies that differed widely in purpose and scope. In addition to this variability in available data, gaps exist spatially, temporally, and analytically in the repository. For example, groundwater-quality data in the repository were not evenly distributed throughout the study area. Several key water-quality constituents or indicators, such as dissolved oxygen, were underrepresented in the repository. Ancillary information, such as well depth, depth to water, and the geologic unit or aquifer in which a well was completed, was missing for more than 50 percent of samples.\n\nFuture monitoring could avoid several limitations of the repository by making relatively minor changes to sample- collection and data-reporting protocols. Field measurements for dissolved oxygen could be added to sampling protocols, for example. Information on well construction and the geologic unit or aquifer in which a well was completed should be part of the water-quality dataset. Such changes would increase the comparability of data from different monitoring programs and also add value to each program individually and to that of the regional dataset as a whole. Other changes to monitoring programs could require greater resources, such as sampling for a basic set of constituents that is relevant to major water-quality issues in the regional study area. Creation of such a dataset for the regional study area would help to provide the kinds of information needed to characterize background conditions and the spatial and temporal variability in constituent concentrations associated with those conditions. Without such information, it is difficult to identify departures from background that might be associated with human activities.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125198","collaboration":"Prepared in cooperation with (in alphabetical order): Antero Resources, Bureau of Land Management, Bureau of Reclamation, Chevron Corporation, Cites of Grand Junction and Rifle, Colo., Colorado Department of Agriculture, Colorado Department of Natural Resources, Colorado Department of Public Health and Environment, Colorado Division of Wildlife—River Watch, Colorado Oil and Gas Conservation Commission, Colorado River Water Conservation District, Delta County, Colo., EnCana Oil & Gas (USA) Inc., Garfield County, Colo., Gunnison Energy Corp., National Park Service, Natural Soda, Inc., North Fork River Improvement Association, Oxy Petroleum Corporation, Petroleum Development Corp., Rio Blanco County, Shell Oil Company, Solvay Chemicals, Towns of Carbondale, De Beque, Palisade, Parachute, Rangely, and Silt, Colo., U.S. Forest Service, West Divide Water Conservancy District, and Williams Companies, Inc.","usgsCitation":"Thomas, J., and McMahon, P., 2013, Overview of groundwater quality in the Piceance Basin, western Colorado, 1946--2009: U.S. Geological Survey Scientific Investigations Report 2012-5198, vi, 204 p., https://doi.org/10.3133/sir20125198.","productDescription":"vi, 204 p.","numberOfPages":"213","additionalOnlineFiles":"N","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":269680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125198.gif"},{"id":269678,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5198/"},{"id":269679,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5198/SIR12-5198.pdf"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5148295fe4b022dd171afdb4","contributors":{"authors":[{"text":"Thomas, J.C.","contributorId":95435,"corporation":false,"usgs":true,"family":"Thomas","given":"J.C.","affiliations":[],"preferred":false,"id":476113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, P.B. 0000-0001-7452-2379","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":10762,"corporation":false,"usgs":true,"family":"McMahon","given":"P.B.","affiliations":[],"preferred":false,"id":476112,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041125,"text":"70041125 - 2013 - An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","interactions":[],"lastModifiedDate":"2013-03-18T17:38:19","indexId":"70041125","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards","docAbstract":"A combination of field mapping, geochemistry, and remote sensing methods has been employed to determine the extent of hydrothermal alteration and assess the potential for failure at the Santiaguito lava dome complex, Guatemala. The 90-year-old complex of four lava domes has only experienced relatively small and infrequent dome collapses in the past, which were associated with lava extrusion. However, existing evidence of an active hydrothermal system coupled with intense seasonal precipitation also presents ideal conditions for instability related to weakened clay-rich edifice rocks. Mapping of the Santiaguito dome complex identified structural features related to dome growth dynamics, potential areas of weakness related to erosion, and locations of fumarole fields. X-ray diffraction and backscattered electron images taken with scanning electron microscopy of dacite and ash samples collected from around fumaroles revealed only minor clay films, and little evidence of alteration. Mineral mapping using ASTER and Hyperion satellite images, however, suggest low-temperature (<150 °C) silicic alteration on erosional surfaces of the domes, but not the type of pervasive acid-sulfate alteration implicated in collapses of other altered edifices. To evaluate the possibility of internal alteration, we re-examined existing aqueous geochemical data from dome-fed hot springs. The data indicate significant water–rock interaction, but the Na–Mg–K geoindicator suggests only a short water residence time, and δ18O/δD ratios show only minor shifts from the meteoric water line with little precipitation of secondary (alteration) minerals. Based on available data, hydrothermal alteration on the dome complex appears to be restricted to surficial deposits of hydrous silica, but the study has highlighted, importantly, that the 1902 eruption crater headwall of Santa María does show more advanced argillic alteration. We also cannot rule out the possibility of advanced alteration within the dome complex interior that is not accessible to the methods used here. It may therefore be prudent to employ geophysical methods to make further assessments in the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of Volcanology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"Amsterdam, Netherlands","doi":"10.1007/s00445-012-0676-z","usgsCitation":"Ball, J.L., Calder, E.S., Hubbard, B.E., and Bernstein, M.L., 2013, An assessment of hydrothermal alteration in the Santiaguito lava dome complex, Guatemala: implications for dome collapse hazards: Bulletin of Volcanology, v. 75, p. 676-676, https://doi.org/10.1007/s00445-012-0676-z.","productDescription":"1 p.","startPage":"676","endPage":"676","ipdsId":"IP-037622","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":473915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-012-0676-z","text":"Publisher Index Page"},{"id":269688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269687,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s00445-012-0676-z"}],"country":"Guatemala","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.23,13.74 ], [ -92.23,17.82 ], [ -88.23,17.82 ], [ -88.23,13.74 ], [ -92.23,13.74 ] ] ] } } ] }","volume":"75","noUsgsAuthors":false,"publicationDate":"2013-01-12","publicationStatus":"PW","scienceBaseUri":"51482959e4b022dd171afda4","contributors":{"authors":[{"text":"Ball, Jessica L. 0000-0002-7837-8180","orcid":"https://orcid.org/0000-0002-7837-8180","contributorId":100707,"corporation":false,"usgs":true,"family":"Ball","given":"Jessica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calder, Eliza S.","contributorId":96562,"corporation":false,"usgs":true,"family":"Calder","given":"Eliza","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":469440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Bernard E. 0000-0002-9315-2032 bhubbard@usgs.gov","orcid":"https://orcid.org/0000-0002-9315-2032","contributorId":2342,"corporation":false,"usgs":true,"family":"Hubbard","given":"Bernard","email":"bhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":469438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernstein, Marc L.","contributorId":42853,"corporation":false,"usgs":true,"family":"Bernstein","given":"Marc","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":469439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70042785,"text":"70042785 - 2013 - Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands","interactions":[],"lastModifiedDate":"2013-03-18T17:26:55","indexId":"70042785","displayToPublicDate":"2013-03-18T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3251,"text":"Remote Sensing Letters","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands","docAbstract":"Monitoring productivity in coastal wetlands is important due to their high carbon sequestration rates and potential role in climate change mitigation. We tested agricultural- and forest-based methods for estimating the fraction of absorbed photosynthetically active radiation (f APAR), a key parameter for modelling gross primary productivity (GPP), in a restored, managed wetland with a dense litter layer of non-photosynthetic vegetation, and we compared the difference in canopy light transmission between a tidally influenced wetland and the managed wetland. The presence of litter reduced correlations between spectral vegetation indices and f APAR. In the managed wetland, a two-band vegetation index incorporating simulated World View-2 or Hyperion green and near-infrared bands, collected with a field spectroradiometer, significantly correlated with f APAR only when measured above the litter layer, not at the ground where measurements typically occur. Measures of GPP in these systems are difficult to capture via remote sensing, and require an investment of sampling effort, practical methods for measuring green leaf area and accounting for background effects of litter and water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Remote Sensing Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/2150704X.2013.766372","usgsCitation":"Schile, L.M., Byrd, K.B., Windham-Myers, L., and Kelly, M., 2013, Accounting for non-photosynthetic vegetation in remote-sensing-based estimates of carbon flux in wetlands: Remote Sensing Letters, v. 4, no. 6, p. 542-551, https://doi.org/10.1080/2150704X.2013.766372.","productDescription":"10 p.","startPage":"542","endPage":"551","ipdsId":"IP-041455","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":269686,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269685,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/2150704X.2013.766372"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5148294fe4b022dd171afda0","contributors":{"authors":[{"text":"Schile, Lisa M.","contributorId":105985,"corporation":false,"usgs":true,"family":"Schile","given":"Lisa","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":472264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin B. 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":3814,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","middleInitial":"B.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":472262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":472261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Maggi","contributorId":14275,"corporation":false,"usgs":true,"family":"Kelly","given":"Maggi","affiliations":[],"preferred":false,"id":472263,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044630,"text":"ofr20131033 - 2013 - U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report","interactions":[],"lastModifiedDate":"2025-05-14T19:21:09.723237","indexId":"ofr20131033","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1033","title":"U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report","docAbstract":"This is the fourth report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. 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Two work activities were completed in FY2011: (1) the assessment of rancher perceptions of energy development in Southwest Wyoming and (2) mapping aspen stands and conifer encroachment using classification and regression tree (CART) analysis for effectiveness monitoring. The USGS continued to compile data, develop geospatial products, and upgrade Web-based products in support of both individual and overall WLCI efforts, including (1) ranking and prioritizing proposed conservation projects, (2) developing the WLCI integrated assessment, (3) developing the WLCI 5-year Conservation Action Plan, and (4) continuing to upgrade the content and improve the functionality of the WLCI Web site. For the WLCI FY2012 annual report, a decision was made to greatly reduce the overall length of the annual report, which will be accomplished by simplifying the report format and focusing on the take-home messages of each work activity for WLCI partners.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131033","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L., Blecker, S.W., Boughton, G.K., Carr, N.B., Chalfoun, A., Chong, G.W., Clark, M.L., Diffendorfer, J.E., Fedy, B.C., Foster, K., Garman, S.L., Germaine, S., Hethcoat, M.G., Holloway, J., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R., Melcher, C.P., Miller, K.A., Montag, J., Olexa, E.M., Potter, C.J., Schell, S., Shafer, S., Smith, D., Stillings, L., Sweat, M.J., Tuttle, M., and Wilson, A.B., 2013, U.S. Geological Survey science for the Wyoming Landscape Conservation Initiative: 2011 annual report: U.S. 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awilson@usgs.gov","orcid":"https://orcid.org/0000-0002-9737-2614","contributorId":1619,"corporation":false,"usgs":true,"family":"Wilson","given":"Anna","email":"awilson@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":476049,"contributorType":{"id":1,"text":"Authors"},"rank":36}]}}
,{"id":70044611,"text":"70044611 - 2013 - Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>","interactions":[],"lastModifiedDate":"2013-10-23T13:17:59","indexId":"70044611","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>","docAbstract":"Little is known from living animals about the social patterns of the franciscana, <i>Pontoporia blainvillei</i>, a small dolphin inhabiting a narrow strip of coastal waters off Argentina, Uruguay, and Brazil. These dolphins tend to be found in small groups, typically composed of two or three individuals (Bordino et al. 1999). Throughout much of the species' range, franciscanas encounter artisanal gill nets (Praderi 1989, Corcuera et al. 1994, Bertozzi and Zerbini 2002, Bordino et al. 2002, Secchi et al. 2003). Entanglement in these nets results in the deaths of thousands of individuals each year, at levels that are likely unsustainable (Bordino and Albareda 2004, Cappozzo et al. 2007).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Mammal Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/mms.12010","usgsCitation":"Wells, R.S., Bordino, P., and Douglas, D.C., 2013, Patterns of social association in the franciscana, <i>Pontoporia blainvillei</i>: Marine Mammal Science, v. 29, no. 4, p. E520-E528, https://doi.org/10.1111/mms.12010.","productDescription":"9 p.","startPage":"E520","endPage":"E528","numberOfPages":"9","ipdsId":"IP-042202","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":269559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269558,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/mms.12010"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"5146d7dce4b0694ee75ad3d8","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bordino, Pablo","contributorId":93355,"corporation":false,"usgs":true,"family":"Bordino","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":476002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476000,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044626,"text":"sir20135002 - 2013 - Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","interactions":[],"lastModifiedDate":"2013-03-16T11:20:42","indexId":"sir20135002","displayToPublicDate":"2013-03-16T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5002","title":"Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, used the Soil and Water Assessment Tool to simulate streamflow and nitrate loads within the Cedar River Basin, Iowa. The goal was to assess the ability of the Soil and Water Assessment Tool to estimate streamflow and nitrate loads in gaged and ungaged basins in Iowa. The Cedar River Basin model uses measured streamflow data from 12 U.S. Geological Survey streamflow-gaging stations for hydrology calibration. The U.S. Geological Survey software program, Load Estimator, was used to estimate annual and monthly nitrate loads based on measured nitrate concentrations and streamflow data from three Iowa Department of Natural Resources Storage and Retrieval/Water Quality Exchange stations, located throughout the basin, for nitrate load calibration. The hydrology of the model was calibrated for the period of January 1, 2000, to December 31, 2004, and validated for the period of January 1, 2005, to December 31, 2010. Simulated daily, monthly, and annual streamflow resulted in Nash-Sutcliffe coefficient of model efficiency (E<sub>NS</sub>) values ranging from 0.44 to 0.83, 0.72 to 0.93, and 0.56 to 0.97, respectively, and coefficient of determination (R<sup>2</sup>) values ranging from 0.55 to 0.87, 0.74 to 0.94, and 0.65 to 0.99, respectively, for the calibration period. The percent bias ranged from -19 to 10, -16 to 10, and -19 to 10 for daily, monthly, and annual simulation, respectively. The validation period resulted in daily, monthly, and annual E<sub>NS</sub> values ranging from 0.49 to 0.77, 0.69 to 0.91, and -0.22 to 0.95, respectively; R<sup>2</sup> values ranging from 0.59 to 0.84, 0.74 to 0.92, and 0.36 to 0.92, respectively; and percent bias ranging from -16 for all time steps to percent bias of 14, 15, and 15, respectively.\n\nThe nitrate calibration was based on a small subset of the locations used in the hydrology calibration with limited measured data. Model performance ranges from unsatisfactory to very good for the calibration period (January 1, 2000, to December 31, 2004). Results for the validation period (January 1, 2005, to December 31, 2010) indicate a need for an increase of measured data as well as more refined documented management practices at a higher resolution. Simulated nitrate loads resulted in monthly and annual E<sub>NS</sub> values ranging from 0.28 to 0.82 and 0.61 to 0.86, respectively, and monthly and annual R<sup>2</sup> values ranging from 0.65 to 0.81 and 0.65 to 0.88, respectively, for the calibration period. The monthly and annual calibration percent bias ranged from 4 to 7 and 5 to 7, respectively. The validation period resulted in all but two E<sub>NS</sub> values less than zero. Monthly and annual validation R<sup>2</sup> values ranged from 0.5 to 0.67 and 0.25 to 0.48, respectively. Monthly and annual validation percent bias ranged from 46 to 68 for both time steps. A daily calibration and validation for nitrate loads was not performed because of the poor monthly and annual results; measured daily nitrate data are available for intervals of time in 2009 and 2010 during which a successful monthly and annual calibration could not be achieved.\n\nThe Cedar River Basin is densely gaged relative to other basins in Iowa; therefore, an alternative hydrology scenario was created to assess the predictive capabilities of the Soil and Water Assessment Tool using fewer locations of measured data for model hydrology calibration. Although the ability of the model to reproduce measured values improves with the number of calibration locations, results indicate that the Soil and Water Assessment Tool can be used to adequately estimate streamflow in less densely gaged basins throughout the State, especially at the monthly time step. However, results also indicate that caution should be used when calibrating a subbasin that consists of physically distinct regions based on only one streamflow-gaging station.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135002","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Hutchinson, K.J., and Christiansen, D.E., 2013, Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10: U.S. Geological Survey Scientific Investigations Report 2013-5002, v, 36 p., https://doi.org/10.3133/sir20135002.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-029808","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":269437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135002.gif"},{"id":269435,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5002/"},{"id":269436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5002/sir13_5002.pdf"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51458659e4b0c47b5d322a6f","contributors":{"authors":[{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180387,"text":"70180387 - 2013 - Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","interactions":[],"lastModifiedDate":"2018-08-07T14:31:33","indexId":"70180387","displayToPublicDate":"2013-03-15T14:31:17","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","docAbstract":"<p><span>Water samples were collected from six small rivers in the Yukon River basin in central Alaska to examine the role of colloids and organic matter in the transport of trace elements in Northern high latitude watersheds influenced by permafrost. Concentrations of dissolved organic carbon (DOC), selected elements (Al, Si, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr, Ba, Pb, U), and UV-absorbance spectra were measured in 0.45</span><span>&nbsp;</span><span>μm filtered samples. ‘Nanocolloidal size distributions’ (0.5–40</span><span>&nbsp;</span><span>nm, hydrodynamic diameter) of humic-type and chromophoric dissolved organic matter (CDOM), Cr, Mn, Fe, Co, Ni, Cu, Zn, and Pb were determined by on-line coupling of flow field-flow fractionation (FFF) to detectors including UV-absorbance, fluorescence, and ICP-MS. Total dissolved and nanocolloidal concentrations of the elements varied considerably between the rivers and between spring flood and late summer base flow. Data on specific UV-absorbance (SUVA), spectral slopes, and the nanocolloidal fraction of the UV-absorbance indicated a decrease in aromaticity and size of CDOM from spring flood to late summer. The nanocolloidal size distributions indicated the presence of different ‘components’ of nanocolloids. ‘Fulvic-rich nanocolloids’ had a hydrodynamic diameter of 0.5–3</span><span>&nbsp;</span><span>nm throughout the sampling season; ‘organic/iron-rich nanocolloids’ occurred in the &lt;8</span><span>&nbsp;</span><span>nm size range during the spring flood; whereas ‘iron-rich nanocolloids’ formed a discrete 4–40</span><span>&nbsp;</span><span>nm components during summer base flow. Mn, Co, Ni, Cu and Zn were distributed between the nanocolloid components depending on the stability constant of the metal (+II)–organic complexes, while stronger association of Cr to the iron-rich nanocolloids was attributed to the higher oxidation states of Cr (+III or +IV). Changes in total dissolved element concentrations, size and composition of CDOM, and occurrence and size of organic/iron and iron-rich nanocolloids were related to variations in their sources from either the upper organic-rich soil or the deeper mineral layer, depending on seasonal variations in hydrological flow patterns and permafrost dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.11.018","usgsCitation":"Stolpe, B., Guo, L., Shiller, A.M., and Aiken, G.R., 2013, Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS: Geochimica et Cosmochimica Acta, v. 105, p. 221-239, https://doi.org/10.1016/j.gca.2012.11.018.","productDescription":"19 p.","startPage":"221","endPage":"239","ipdsId":"IP-035129","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152,\n              63.5\n            ],\n            [\n              -144,\n              63.5\n            ],\n            [\n              -144,\n              66\n            ],\n            [\n              -152,\n              66\n            ],\n            [\n              -152,\n              63.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd361e4b0f5d57878edae","contributors":{"authors":[{"text":"Stolpe, Bjorn","contributorId":178895,"corporation":false,"usgs":false,"family":"Stolpe","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":661488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Laodong","contributorId":176753,"corporation":false,"usgs":false,"family":"Guo","given":"Laodong","email":"","affiliations":[],"preferred":false,"id":741904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiller, Alan M.","contributorId":100709,"corporation":false,"usgs":true,"family":"Shiller","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70043912,"text":"cir1384 - 2013 - Progress toward establishing a national assessment of water availability and use","interactions":[],"lastModifiedDate":"2017-03-29T12:08:23","indexId":"cir1384","displayToPublicDate":"2013-03-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1384","title":"Progress toward establishing a national assessment of water availability and use","docAbstract":"<p>The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a \"national water availability and use assessment program\" within the U.S. Geological Survey (USGS). A major driver for this recommendation was that national water availability and use have not been comprehensively assessed since 1978. This report fulfills a requirement to report to Congress on progress in implementing the national water availability and use assessment program, also referred to as the National Water Census. The SECURE Water Act authorized \\$20 million for each of fiscal years (FY) 2009 through 2023 for assessment of national water availability and use. The first appropriation for this effort was \\$4 million in FY 2011, followed by an appropriation of \\$6 million in FY 2012. The National Water Census synthesizes and reports information at the regional and national scales, with an emphasis on compiling and reporting the information in a way that is useful to states and others responsible for water management and natural-resource issues. The USGS works with Federal and non-Federal agencies, universities, and other organizations to ensure that the information can be aggregated with other types of water-availability and socioeconomic information, such as data on food and energy production. To maximize the utility of the information, the USGS coordinates the design and development of the effort through the Federal Advisory Committee on Water Information. A National Water Census is a complex undertaking, particularly because there are major gaps in the information needed to conduct such an assessment. To maximize progress, the USGS engaged stakeholders in a discussion of priorities and leveraged existing studies and program activities to enhance efforts toward the development of a National Water Census.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1384","usgsCitation":"Alley, W., Evenson, E.J., Barber, N.L., Bruce, B.W., Dennehy, K.F., Freeman, M., Freeman, W.O., Fischer, J., Hughes, W.B., Kennen, J., Kiang, J.E., Maloney, K.O., Musgrove, M., Ralston, B.E., Tessler, S., and Verdin, J.P., 2013, Progress toward establishing a national assessment of water availability and use: U.S. Geological Survey Circular 1384, vi, 36 p., https://doi.org/10.3133/cir1384.","productDescription":"vi, 36 p.","numberOfPages":"44","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":449,"text":"National Water Census","active":false,"usgs":true}],"links":[{"id":270523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1384.png"},{"id":267955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1384/support/c1384.pdf"},{"id":267956,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1384/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f6ce4b0803bd2eec53d","contributors":{"authors":[{"text":"Alley, William M.","contributorId":93030,"corporation":false,"usgs":true,"family":"Alley","given":"William M.","affiliations":[],"preferred":false,"id":474464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evenson, Eric J. eevenson@usgs.gov","contributorId":4072,"corporation":false,"usgs":true,"family":"Evenson","given":"Eric","email":"eevenson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":474461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Nancy L. 0000-0002-2952-5017 nlbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-2952-5017","contributorId":3679,"corporation":false,"usgs":true,"family":"Barber","given":"Nancy","email":"nlbarber@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, Breton W. bbruce@usgs.gov","contributorId":1127,"corporation":false,"usgs":true,"family":"Bruce","given":"Breton","email":"bbruce@usgs.gov","middleInitial":"W.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":474454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dennehy, Kevin F. kdennehy@usgs.gov","contributorId":1128,"corporation":false,"usgs":true,"family":"Dennehy","given":"Kevin","email":"kdennehy@usgs.gov","middleInitial":"F.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":474455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":474458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Freeman, Ward O. wfreeman@usgs.gov","contributorId":1999,"corporation":false,"usgs":true,"family":"Freeman","given":"Ward","email":"wfreeman@usgs.gov","middleInitial":"O.","affiliations":[],"preferred":true,"id":474456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fischer, Jeffrey M. 0000-0003-2996-9272 fischer@usgs.gov","orcid":"https://orcid.org/0000-0003-2996-9272","contributorId":573,"corporation":false,"usgs":true,"family":"Fischer","given":"Jeffrey M.","email":"fischer@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":474450,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hughes, William B. 0000-0001-5087-0889 wbhughes@usgs.gov","orcid":"https://orcid.org/0000-0001-5087-0889","contributorId":399,"corporation":false,"usgs":true,"family":"Hughes","given":"William","email":"wbhughes@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":474449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":474457,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":474462,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":474463,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":474452,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tessler, Steven stessler@usgs.gov","contributorId":3772,"corporation":false,"usgs":true,"family":"Tessler","given":"Steven","email":"stessler@usgs.gov","affiliations":[],"preferred":true,"id":474460,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":474453,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70044601,"text":"ofr20131059 - 2013 - Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012","interactions":[],"lastModifiedDate":"2018-01-26T11:16:36","indexId":"ofr20131059","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1059","title":"Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012","docAbstract":"Transboundary aquifers are an essential, and in many cases, singular source of water for United States – Mexico border communities, particularly in arid regions. Declining water levels, deteriorating water quality, and increasing use of groundwater resources by municipal, industrial, and agricultural water users on both sides of the international border have raised concerns about the long-term availability of this supply. Water quantity and quality are determining and limiting factors that ultimately control agriculture, future economic development, population growth, human health, and ecological conditions along the border. Knowledge about the extent, depletion rates, and quality of transboundary aquifers, however, is limited and, in some areas, completely absent.\n\nThe U.S. – Mexico Transboundary Aquifer Assessment Act (Public Law 109-448), referred to in this report as “the Act,” was signed into law by the President of the United States on December 22, 2006, to conduct binational scientific research to systematically assess priority transboundary aquifers and to address water information needs of border communities. The Act authorizes the Secretary of the Interior, through the U.S. Geological Survey (USGS), to collaborate with the States of Arizona, New Mexico, and Texas through their Water Resources Research Institutes (WRRIs) and with the International Boundary and Water Commission (IBWC), stakeholders, and Mexican counterparts to provide new information and a scientific foundation for State and local officials to address pressing water-resource challenges along the U.S. – Mexico border.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131059","usgsCitation":"2013, Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012: U.S. Geological Survey Open-File Report 2013-1059, iii, 31 p., https://doi.org/10.3133/ofr20131059.","productDescription":"iii, 31 p.","startPage":"i","endPage":"31","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":269355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131059.gif"},{"id":269354,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1059/pdf/ofr2013-1059.pdf"},{"id":269353,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1059/"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.36,14.53 ], [ -118.36,37.0 ], [ -94.0,37.0 ], [ -94.0,14.53 ], [ -118.36,14.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e359e4b073a963ff652d","contributors":{"editors":[{"text":"Alley, William M. walley@usgs.gov","contributorId":1661,"corporation":false,"usgs":true,"family":"Alley","given":"William","email":"walley@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":725889,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70044581,"text":"70044581 - 2013 - Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","interactions":[],"lastModifiedDate":"2013-03-14T14:03:34","indexId":"70044581","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","docAbstract":"Coastal wetlands are losing elevation worldwide, so that techniques to increase elevation such as sediment amendment might benefit these wetlands. This study examined the potential of sediment amendment to raise elevation and support the production and regeneration of vegetation in coastal forests in Louisiana. Before sediment amendment, the vegetation did not differ in these Taxodium distichum–Nyssa aquatica forests with respect to herbaceous and tree seedling composition, and sapling and tree characteristics. After the application of sediment in January 2007, sediment-amended swamps had higher elevations and salinity levels than natural swamps. The layer of sediment applied to Treasure Island in Jean Lafitte National Historic Park and Preserve was relatively deep (sediment depth at Site One and Site Two: 0.89 and 0.69 m, respectively, six months after application), and may have exceeded an optimal threshold. Sediment-amended swamp with the highest elevation had some tree mortality and little tree growth of T. distichum. Also, sediment-amended swamp had higher root biomasses of ruderal species, and lower species richness and cover of herbaceous species. Nevertheless, during controlled water releases during an oil spill emergency in 2010, both sediment-amended and reference forest had higher production levels than in other years. While sediment amendment is a compelling management alternative for sinking coastal wetlands, optimal thresholds were not determined for these T. distichum–N. aquatica swamps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecoleng.2013.01.025","usgsCitation":"Middleton, B.A., and Jiang, M., 2013, Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana: Ecological Engineering, v. 54, p. 183-191, https://doi.org/10.1016/j.ecoleng.2013.01.025.","productDescription":"9 p.","startPage":"183","endPage":"191","ipdsId":"IP-038627","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269314,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2013.01.025"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,33.0195 ], [ -88.8162,33.0195 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35fe4b073a963ff6541","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Ming","contributorId":83770,"corporation":false,"usgs":true,"family":"Jiang","given":"Ming","email":"","affiliations":[],"preferred":false,"id":475908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044582,"text":"70044582 - 2013 - Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","interactions":[],"lastModifiedDate":"2013-03-14T14:16:03","indexId":"70044582","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","docAbstract":"Understanding plant community zonation along estuarine stress gradients is critical for effective conservation and restoration of coastal wetland ecosystems. We related the presence of plant community types to estuarine hydrology at 173 sites across coastal Louisiana. Percent relative cover by species was assessed at each site near the end of the growing season in 2008, and hourly water level and salinity were recorded at each site Oct 2007–Sep 2008. Nine plant community types were delineated with k-means clustering, and indicator species were identified for each of the community types with indicator species analysis. An inverse relation between salinity and species diversity was observed. Canonical correspondence analysis (CCA) effectively segregated the sites across ordination space by community type, and indicated that salinity and tidal amplitude were both important drivers of vegetation composition. Multinomial logistic regression (MLR) and Akaike's Information Criterion (AIC) were used to predict the probability of occurrence of the nine vegetation communities as a function of salinity and tidal amplitude, and probability surfaces obtained from the MLR model corroborated the CCA results. The weighted kappa statistic, calculated from the confusion matrix of predicted versus actual community types, was 0.7 and indicated good agreement between observed community types and model predictions. Our results suggest that models based on a few key hydrologic variables can be valuable tools for predicting vegetation community development when restoring and managing coastal wetlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecss.2012.12.002","usgsCitation":"Snedden, G., and Steyer, G.D., 2013, Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression: Estuarine, Coastal and Shelf Science, v. 118, p. 11-23, https://doi.org/10.1016/j.ecss.2012.12.002.","productDescription":"13 p.","startPage":"11","endPage":"23","ipdsId":"IP-033792","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269315,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2012.12.002"}],"volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35ee4b073a963ff653d","chorus":{"doi":"10.1016/j.ecss.2012.12.002","url":"http://dx.doi.org/10.1016/j.ecss.2012.12.002","publisher":"Elsevier BV","authors":"Snedden Gregg A., Steyer Gregory D.","journalName":"Estuarine, Coastal and Shelf Science","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":17338,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":475910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":475909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044596,"text":"sir20135028 - 2013 - Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","interactions":[],"lastModifiedDate":"2013-03-15T09:15:21","indexId":"sir20135028","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5028","title":"Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","docAbstract":"Historical mining activity in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of cadmium, lead, and zinc to the environment. To provide some of the information needed to support remediation efforts in the Cherokee County, Kansas, superfund site, a 4-year study was begun in 2009 by the U.S. Geological Survey that was requested and funded by the U.S. Environmental Protection Agency. A combination of surficial-soil sampling and coring was used to investigate the occurrence and variability of mining-related lead and zinc in the flood plains of the Spring River and several tributaries within the superfund site. Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.\n\nLead and zinc contamination was assessed with reference to probable-effect concentrations (PECs), which represent the concentrations above which adverse aquatic biological effects are likely to occur. The general PECs for lead and zinc were 128 and 459 milligrams per kilogram, respectively. The TSMD-specific PECs for lead and zinc were 150 and 2,083 milligrams per kilogram, respectively.\n\nTypically, surficial soils in the Spring River flood plain had lead and zinc concentrations that were less than the general PECs. Lead and zinc concentrations in the surficial-soil samples were variable with distance downstream and with distance from the Spring River channel, and the largest lead and zinc concentrations usually were located near the channel. Lead and zinc concentrations larger than the general or TSMD-specific PECs, or both, were infrequent at depth in the Spring River flood plain. When present, such contamination typically was confined to the upper 2 feet of the core and frequently was confined to the upper 6 inches.\n\nTributaries with few or no lead- and zinc-mined areas in the basin—Brush Creek, Cow Creek, and Shawnee Creek—generally had flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) that were substantially less than the general PECs. Tributaries with extensive lead- and zinc-mined areas in the basin—Shoal Creek, Short Creek, Spring Branch, Tar Creek, Turkey Creek, and Willow Creek—had flood-plain lead concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general and TSMD-specific PECs. Likewise, the tributaries with extensive lead- and zinc-mined areas in the basin had flood-plain zinc concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general PEC. With the exception of Shoal and Willow Creeks, zinc concentrations typically exceeded the TSMD-specific PEC. The largest flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) were measured for Short and Tar Creeks. Lead and zinc concentrations in the surficial-soil samples collected from the tributary flood plains varied longitudinally in relation to sources of mining-contaminated sediment in the basins. Lead and zinc concentrations also varied with distance from the channel; however, no consistent spatial trend was evident. For the surficial-soil samples collected from the Spring River flood plain and tributary flood plains, both the coarse (larger than 63 micrometers) and fine particles (less than 63 micrometers) contained substantial lead and zinc concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135028","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Juracek, K.E., 2013, Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11: U.S. Geological Survey Scientific Investigations Report 2013-5028, vi, 70 p., https://doi.org/10.3133/sir20135028.","productDescription":"vi, 70 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":269350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135028.gif"},{"id":269348,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5028/"},{"id":269349,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5028/sir2013-5028.pdf"}],"country":"United States","state":"Kansas","county":"Cherokee County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.073853,36.998665 ], [ -95.073853,37.341705 ], [ -94.617636,37.341705 ], [ -94.617636,36.998665 ], [ -95.073853,36.998665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35be4b073a963ff6535","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":475935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044918,"text":"70044918 - 2013 - Current perspectives in contaminant hydrology and water resources sustainability","interactions":[],"lastModifiedDate":"2018-08-15T15:02:53","indexId":"70044918","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Current perspectives in contaminant hydrology and water resources sustainability","docAbstract":"Human society depends on liquid freshwater resources to meet drinking, sanitation and hygiene, agriculture, and industry needs. Improved resource monitoring and better understanding of the anthropogenic threats to freshwater environments are critical to efficient management of freshwater resources and ultimately to the survival and quality of life of the global human population. This book helps address the need for improved freshwater resource monitoring and threat assessment by presenting current reviews and case studies focused on the fate and transport of contaminants in the environment and on the sustainability of groundwater and surface-water resources around the world. It is intended for students and professionals working in hydrology and water resources management.","language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/47884","usgsCitation":"Bradley, P.M., 2013, Current perspectives in contaminant hydrology and water resources sustainability, 333 p., https://doi.org/10.5772/47884.","productDescription":"333 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":269955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269954,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/47884"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51502072e4b08df5cb131323","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044516,"text":"70044516 - 2013 - High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance","interactions":[],"lastModifiedDate":"2018-01-03T14:39:55","indexId":"70044516","displayToPublicDate":"2013-03-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance","docAbstract":"<p>We examined seroprevalence (presence of detectable antibodies in serum) for avian influenza viruses (AIV) among 4,485 birds, from 11 species of wild waterfowl in Alaska (1998&ndash;2010), sampled during breeding/molting periods. Seroprevalence varied among species (highest in eiders (Somateria and Polysticta species), and emperor geese (Chen canagica)), ages (adults higher than juveniles), across geographic locations (highest in the Arctic and Alaska Peninsula) and among years in tundra swans (Cygnus columbianus). All seroprevalence rates in excess of 60% were found in marine-dependent species. Seroprevalence was much higher than AIV infection based on rRT-PCR or virus isolation alone. Because pre-existing AIV antibodies can infer some protection against highly pathogenic AIV (HPAI H5N1), our results imply that some wild waterfowl in Alaska could be protected from lethal HPAIV infections. Seroprevalence should be considered in deciphering patterns of exposure, differential infection, and rates of AIV transmission. Our results suggest surveillance programs include species and populations with high AIV seroprevalences, in addition to those with high infection rates. Serologic testing, including examination of serotype-specific antibodies throughout the annual cycle, would help to better assess spatial and temporal patterns of AIV transmission and overall disease dynamics.</p>","language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0058308","usgsCitation":"Wilson, H.M., Hall, J., Flint, P.L., Franson, J., Ely, C.R., Schmutz, J.A., and Samuel, M.D., 2013, High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance: PLoS ONE, v. 8, no. 3, e58308; 7 p., https://doi.org/10.1371/journal.pone.0058308.","productDescription":"e58308; 7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-043242","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70044573,"text":"sim3243 - 2013 - Flood-inundation maps for the Tippecanoe River near Delphi, Indiana","interactions":[],"lastModifiedDate":"2013-03-13T17:38:08","indexId":"sim3243","displayToPublicDate":"2013-03-13T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3243","title":"Flood-inundation maps for the Tippecanoe River near Delphi, Indiana","docAbstract":"Digital flood-inundation maps for an 11-mile reach of the Tippecanoe River that extends from County Road W725N to State Road 18 below Oakdale Dam, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent of flooding corresponding to selected water levels (stages) at USGS streamgage 03333050, Tippecanoe River near Delphi, Ind. Current conditions at the USGS streamgages in Indiana may be obtained online at http://waterdata.usgs.gov/in/nwis/current/?type=flow. In addition, the information has been provided to the National Weather Service (NWS) for incorporation into their Advanced Hydrologic Prediction Service (AHPS) flood warning system (http://water.weather.gov/ahps/). The NWS forecasts flood hydrographs at many places that are often co-located at USGS streamgages. That forecasted peak-stage information, also available on the Internet, may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nIn this study, water-surface profiles were simulated for the stream reach by means of a hydraulic one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at USGS streamgage 03333050, Tippecanoe River near Delphi, Ind., and USGS streamgage 03332605, Tippecanoe River below Oakdale Dam, Ind. The hydraulic model was then used to simulate 13 water-surface profiles for flood stages at 1-foot intervals reference to the streamgage datum and ranging from bankfull to approximately the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. A flood inundation map was generated for each water-surface profile stage (13 maps in all) so that, for any given flood stage, users will be able to view the estimated area of inundation.\n\nThe availability of these maps, along with current stage from USGS streamgages and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3243","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Menke, C.D., Bunch, A.R., and Kim, M.H., 2013, Flood-inundation maps for the Tippecanoe River near Delphi, Indiana: U.S. Geological Survey Scientific Investigations Map 3243, Maps: 13 Sheets: 17 x 22 inches; Pamphlet: vi, 9 p.; Downloads Directory, https://doi.org/10.3133/sim3243.","productDescription":"Maps: 13 Sheets: 17 x 22 inches; Pamphlet: vi, 9 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3243.gif"},{"id":269273,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sim/3243/pdf/mapsheets"},{"id":269274,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3243/Downloads"},{"id":269271,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3243/"},{"id":269272,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3243/pdf/sim3243.pdf"}],"country":"United States","state":"Indiana","city":"Delphi","otherGeospatial":"Tippecanoe River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.1,37.77 ], [ -88.1,41.76 ], [ -84.78,41.76 ], [ -84.78,37.77 ], [ -88.1,37.77 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514191dce4b0eefcba208d37","contributors":{"authors":[{"text":"Menke, Chad D. cdmenke@usgs.gov","contributorId":3209,"corporation":false,"usgs":true,"family":"Menke","given":"Chad","email":"cdmenke@usgs.gov","middleInitial":"D.","affiliations":[],"preferred":true,"id":475890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Moon H. 0000-0002-4328-8409 mkim@usgs.gov","orcid":"https://orcid.org/0000-0002-4328-8409","contributorId":3211,"corporation":false,"usgs":true,"family":"Kim","given":"Moon","email":"mkim@usgs.gov","middleInitial":"H.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":475891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044550,"text":"ofr20131047 - 2013 - Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","interactions":[],"lastModifiedDate":"2013-03-12T15:24:08","indexId":"ofr20131047","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1047","title":"Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","docAbstract":"This report releases geochemistry data in waters from the upper Animas River watershed that have been analyzed by inductively coupled plasma–mass spectrometry. These samples were collected at various sites and at various dates (41 sites and 86 samples from 2008 to 2010). A main data table is provided and the text discusses the sampling methods and locations in relation to other published reports.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131047","usgsCitation":"Johnson, R.H., and Yager, D.B., 2013, Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado: U.S. Geological Survey Open-File Report 2013-1047, iii, 3 p.; Table 1, https://doi.org/10.3133/ofr20131047.","productDescription":"iii, 3 p.; Table 1","startPage":"i","endPage":"3","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":269180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131047.gif"},{"id":269177,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1047/"},{"id":269179,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1047/table.xls"},{"id":269178,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1047/OF13-1047.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404080e4b089809dbf43ef","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":475871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044545,"text":"cir138011 - 2013 - An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044545,"text":"cir138011 - 2013 - An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir138011","publicationYear":"2013","noYear":false,"chapter":"11","title":"An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2017-01-26T14:36:01","indexId":"cir138011","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"11","title":"An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Along the nearly 3,200 kilometers (almost 2,000 miles) of the United States–Mexican border, we are witnessing the expression of the challenges of the 21st century. The Borderlands have become a microcosm for the entire United States and Mexico; the issues faced in that region are felt throughout both nations—water availability and quality, ecosystem health, natural resource needs, safety from natural hazards, and human socioeconomic well-being. If these issues were not challenging enough, we now recognize that the difficulties of addressing them are exacerbated by the onset of climate change, and as we come to better understand the complexities of the components of these challenge themes, we discover that each part is inextricably intertwined with other overarching issues. Further, because we are a creative and progressive society, we all seek to understand and appreciate the natural environments associated with the Borderlands while at the same time benefitting from the region’s many social and economic values. It is little wonder that we as a society find it increasingly difficult to ask the right questions, much less find suitable answers to the questions we do ask. For the many scientists who have worked in the Borderlands and contributed to the preceding chapters, this circular is a way to describe to the two nations of the region the capabilities the U.S. Geological Survey can provide to assist in that quest for knowledge and understanding in preparation for the future.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science (Circular 1380)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir138011","usgsCitation":"Updike, R.G., and Page, W.R., 2013, An opportunity and an imperative: Chapter 11 in  <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>: U.S. Geological Survey Circular 1380, 10 p., https://doi.org/10.3133/cir138011.","productDescription":"10 p.","startPage":"272","endPage":"281","numberOfPages":"11","costCenters":[{"id":572,"text":"Southwest Region","active":false,"usgs":true}],"links":[{"id":269151,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir138011.gif"},{"id":269149,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1380/downloads/Chapter11.pdf"},{"id":269150,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1380/"}],"country":"Mexico, United States","otherGeospatial":"United States-Mexico Borderlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.646484375,\n              24.246964554300924\n            ],\n            [\n              -96.6796875,\n              25.918526162075153\n            ],\n            [\n              -97.0751953125,\n              27.254629577800063\n            ],\n            [\n              -98.4375,\n              29.49698759653577\n            ],\n            [\n              -99.931640625,\n              30.713503990354965\n            ],\n            [\n              -103.22753906249999,\n              31.015278981711266\n            ],\n            [\n              -104.853515625,\n              32.65787573695528\n            ],\n            [\n              -106.34765625,\n              33.17434155100208\n            ],\n            [\n              -108.5009765625,\n              33.17434155100208\n            ],\n            [\n              -110.302734375,\n              32.95336814579932\n            ],\n            [\n              -112.939453125,\n              33.54139466898275\n            ],\n            [\n              -114.43359375,\n              33.8339199536547\n            ],\n            [\n              -117.158203125,\n              33.54139466898275\n            ],\n            [\n              -117.8173828125,\n              33.17434155100208\n            ],\n            [\n              -117.20214843749999,\n              31.690781806136822\n            ],\n            [\n              -114.9169921875,\n              31.50362930577303\n            ],\n            [\n              -110.8740234375,\n              30.06909396443887\n            ],\n            [\n              -108.2373046875,\n              30.14512718337613\n            ],\n            [\n              -105.16113281249999,\n              28.22697003891834\n            ],\n            [\n              -103.71093749999999,\n              27.488781168937997\n            ],\n            [\n              -101.90917968749999,\n              27.68352808378776\n            ],\n            [\n              -99.36035156249999,\n              25.363882272740256\n            ],\n            [\n              -98.3056640625,\n              24.686952411999155\n            ],\n            [\n              -97.646484375,\n              24.246964554300924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5140404fe4b089809dbf43db","contributors":{"authors":[{"text":"Updike, Randall G. updike@usgs.gov","contributorId":334,"corporation":false,"usgs":true,"family":"Updike","given":"Randall","email":"updike@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":475865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, William R. 0000-0002-0722-9911 rpage@usgs.gov","orcid":"https://orcid.org/0000-0002-0722-9911","contributorId":1628,"corporation":false,"usgs":true,"family":"Page","given":"William","email":"rpage@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":475866,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","interactions":[{"subject":{"id":70044543,"text":"cir13809 - 2013 - Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","indexId":"cir13809","publicationYear":"2013","noYear":false,"chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>"},"predicate":"IS_PART_OF","object":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"id":1}],"isPartOf":{"id":70044525,"text":"cir1380 - 2013 - United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science","indexId":"cir1380","publicationYear":"2013","noYear":false,"title":"United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science"},"lastModifiedDate":"2018-09-21T11:06:47","indexId":"cir13809","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1380","chapter":"9","title":"Challenge theme 7: Information support for management of border security and environmental protection: Chapter 9 in <i>United States-Mexican Borderlands: Facing tomorrow's challenges through USGS science</i>","docAbstract":"Historically, international borders were located far from the major political and economic capitals of their countries and rarely received adequate planning or infrastructure development. Today, as a result of global economics and increased movement of goods between nations, border regions play a much greater role in commerce, tourism, and transportation. For example, Mexico is the second largest destination for United States exports (Woodrow Wilson Center Mexico Institute, 2009). The rapid population and economic growth along the United States–Mexican border, undocumented human border crossings, and the unique natural diversity of resources in the Borderlands present challenges for border security and environmental protection. Assessing risks and implementing sustainable growth policies to protect the environment and quality of life greatly increase in complexity when the issues cross an international border, where social services, environmental regulations, lifestyles, and cultural beliefs are unique for each country. 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