We explored the use of continuous waterborne electrical imaging (CWEI), in conjunction with fiber‐optic distributed temperature sensor (FO‐DTS) monitoring, to improve the conceptual model for uranium transport within the Columbia River corridor at the Hanford 300 Area, Washington. We first inverted resistivity and induced polarization CWEI data sets for distributions of electrical resistivity and polarizability, from which the spatial complexity of the primary hydrogeologic units was reconstructed. Variations in the depth to the interface between the overlying coarse‐grained, high‐permeability Hanford Formation and the underlying finer‐grained, less permeable Ringold Formation, an important contact that limits vertical migration of contaminants, were resolved along ∼3 km of the river corridor centered on the 300 Area. Polarizability images were translated into lithologic images using established relationships between polarizability and surface area normalized to pore volume (Spor). The FO‐DTS data recorded along 1.5 km of cable with a 1 m spatial resolution and 5 min sampling interval revealed subreaches showing (1) temperature anomalies (relatively warm in winter and cool in summer) and (2) a strong correlation between temperature and river stage (negative in winter and positive in summer), both indicative of reaches of enhanced surface water–groundwater exchange. The FO‐DTS data sets confirm the hydrologic significance of the variability identified in the CWEI and reveal a pattern of highly focused exchange, concentrated at springs where the Hanford Formation is thickest. Our findings illustrate how the combination of CWEI and FO‐DTS technologies can characterize surface water–groundwater exchange in a complex, coupled river‐aquifer system.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2010WR009110","usgsCitation":"Slater, L.D., Ntarlagiannis, D., Day-Lewis, F.D., Mwakanyamale, K., Versteeg, R.J., Ward, A., Strickland, C., Johnson, C.D., and Lane, J.W., 2010, Use of electrical imaging and distributed temperature sensing methods to characterize surface water–groundwater exchange regulating uranium transport at the Hanford 300 Area, Washington: Water Resources Research, v. 46, no. 10, W10533; 3 p., https://doi.org/10.1029/2010WR009110.","productDescription":"W10533; 3 p.","onlineOnly":"N","ipdsId":"IP-019421","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475763,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010wr009110","text":"Publisher Index Page"},{"id":281654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Richland","otherGeospatial":"Hanford 300 Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.28319931030273,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.35699885440808\n ],\n [\n -119.26620483398438,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.37547772047758\n ],\n [\n -119.28319931030273,\n 46.35699885440808\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"10","noUsgsAuthors":false,"publicationDate":"2010-10-21","publicationStatus":"PW","scienceBaseUri":"53cd7a93e4b0b2908510d92c","contributors":{"authors":[{"text":"Slater, Lee D.","contributorId":95792,"corporation":false,"usgs":true,"family":"Slater","given":"Lee","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":489534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":489531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":489527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mwakanyamale, Kisa","contributorId":75847,"corporation":false,"usgs":true,"family":"Mwakanyamale","given":"Kisa","email":"","affiliations":[],"preferred":false,"id":489533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Versteeg, Roelof J.","contributorId":73501,"corporation":false,"usgs":true,"family":"Versteeg","given":"Roelof","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":489532,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ward, Andy","contributorId":7184,"corporation":false,"usgs":true,"family":"Ward","given":"Andy","email":"","affiliations":[],"preferred":false,"id":489530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strickland, Christopher","contributorId":101991,"corporation":false,"usgs":true,"family":"Strickland","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":489535,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":489529,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, John W. 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The source data were the Near-Real-Time High-Resolution Monthly Average Maximum/Minimum Temperature for the Conterminous United States for 2002 raster dataset produced by the Spatial Climate Analysis Service at Oregon State University. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49028","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: Average Annual Daily Maximum Temperature, 2002: U.S. Geological Survey Data Series 490-28, Dataset, https://doi.org/10.3133/dds49028.","productDescription":"Dataset","costCenters":[],"links":[{"id":276116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c21","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482056,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70046916,"text":"70046916 - 2010 - National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox","interactions":[],"lastModifiedDate":"2013-07-09T11:40:14","indexId":"70046916","displayToPublicDate":"2010-01-01T11:21:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox","docAbstract":"This is release 1.0 of the National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox. These tools are designed to be accessed using ArcGIS Desktop software (versions 9.3 and 9.3.1). The toolbox is composed of a collection of custom tools that implement geographic information system (GIS) techniques used by the NAWQA Program to characterize aquifer areas, drainage basins, and sampled wells.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/70046916","usgsCitation":"Price, C., 2010, National Water-Quality Assessment (NAWQA) Area-Characterization Toolbox, Dataset, https://doi.org/10.3133/70046916.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":274753,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":274751,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nawqa_tools.xml"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.97736605,23.09338233 ], [ -127.97736605,48.28350093 ], [ -65.11883061,48.28350093 ], [ -65.11883061,23.09338233 ], [ -127.97736605,23.09338233 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51dd30ede4b0f72b44719c9f","contributors":{"authors":[{"text":"Price, Curtis","contributorId":87842,"corporation":false,"usgs":true,"family":"Price","given":"Curtis","affiliations":[],"preferred":false,"id":480621,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70118925,"text":"70118925 - 2010 - Diet shift of lentic dragonfly larvae in response to reduced terrestrial prey subsidies","interactions":[],"lastModifiedDate":"2014-07-31T11:14:55","indexId":"70118925","displayToPublicDate":"2010-01-01T11:13:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2564,"text":"Journal of the North American Benthological Society","onlineIssn":"1937-237X","printIssn":"0887-3593","active":true,"publicationSubtype":{"id":10}},"title":"Diet shift of lentic dragonfly larvae in response to reduced terrestrial prey subsidies","docAbstract":"Inputs of terrestrial plant detritus and nutrients play an important role in aquatic food webs, but the importance of terrestrial prey inputs in determining aquatic predator distribution and abundance has been appreciated only recently. I examined the numerical, biomass, and diet responses of a common predator, dragonfly larvae, to experimental reduction of terrestrial arthropod input into ponds. I distributed paired enclosures (n = 7), one with a screen between the land and water (reduced subsidy) and one without a screen (ambient subsidy), near the shoreline of 2 small fishless ponds and sampled each month during the growing season in the southern Appalachian Mountains, Virginia (USA). Screens between water and land reduced the number of terrestrial arthropods that fell into screened enclosures relative to the number that fell into unscreened enclosures and open reference plots by 36%. The δ13C isotopic signatures of dragonfly larvae shifted towards those of aquatic prey in reduced-subsidy enclosures, a result suggesting that dragonflies consumed fewer terrestrial prey when fewer were available (ambient subsidy: 30%, reduced subsidy: 19% of diet). Overall abundance and biomass of dragonfly larvae did not change in response to reduced terrestrial arthropod inputs, despite the fact that enclosures permitted immigration/emigration. These results suggest that terrestrial arthropods can provide resources to aquatic predators in lentic systems, but that their effects on abundance and distribution might be subtle and confounded by in situ factors.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the North American Benthological Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"North American Benthological Society","publisherLocation":"Schaumburg, IL","doi":"10.1899/09-034.1","usgsCitation":"Kraus, J.M., 2010, Diet shift of lentic dragonfly larvae in response to reduced terrestrial prey subsidies: Journal of the North American Benthological Society, v. 29, no. 2, p. 602-613, https://doi.org/10.1899/09-034.1.","productDescription":"12 p.","startPage":"602","endPage":"613","numberOfPages":"12","costCenters":[],"links":[{"id":291480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291479,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1899/09-034.1"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db5842e4b0fba533fa356e","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497506,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70047443,"text":"dds49026 - 2010 - Attributes for NHDPlus catchments (Version 1.1) for the conterminous United States: STATSGO soil characteristics","interactions":[],"lastModifiedDate":"2013-11-25T16:00:50","indexId":"dds49026","displayToPublicDate":"2010-01-01T11:02:00","publicationYear":"2010","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":"490-26","title":"Attributes for NHDPlus catchments (Version 1.1) for the conterminous United States: STATSGO soil characteristics","docAbstract":"This data set represents estimated soil variables compiled for every catchment of NHDPlus for the conterminous United States. The variables included are cation exchange capacity, percent calcium carbonate, slope, water-table depth, soil thickness, hydrologic soil group, soil erodibility (k-factor), permeability, average water capacity, bulk density, percent organic material, percent clay, percent sand, and percent silt. The source data set is the State Soil ( STATSGO ) Geographic Database (Wolock, 1997). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49026","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (Version 1.1) for the conterminous United States: STATSGO soil characteristics: U.S. Geological Survey Data Series 490-26, Dataset, https://doi.org/10.3133/dds49026.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":276112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276111,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_statsgo.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021adfe4b0e21cafa49c19","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047061,"text":"dds49023 - 2010 - Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Mean Annual R-factor, 1971-2000","interactions":[],"lastModifiedDate":"2013-11-25T16:01:05","indexId":"dds49023","displayToPublicDate":"2010-01-01T11:01:00","publicationYear":"2010","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":"490-23","title":"Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Mean Annual R-factor, 1971-2000","docAbstract":"This data set represents the average annual R-factor, rainfall-runoff erosivity measure, compiled for every catchment of NHDPlus for the conterminous United States. The source data are from Christopher Daly of the Spatial Climate Analysis Service, Oregon State University, and George Taylor of the Oregon Climate Service, Oregon State University (2002), who developed spatially distributed estimates of R-factor for the period 1971-2000 for the conterminous United States. The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49023","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus Catchments (Version 1.1) for the Conterminous United States: Mean Annual R-factor, 1971-2000: U.S. Geological Survey Data Series 490-23, Dataset, https://doi.org/10.3133/dds49023.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":275052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":275051,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_rfact30.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51e66b65e4b017be1ba3476a","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":480946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":480947,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148676,"text":"70148676 - 2010 - Relating large-scale climate variability to local species abundance: ENSO forcing and shrimp in Breton Sound, Louisiana, USA","interactions":[],"lastModifiedDate":"2015-06-19T09:53:41","indexId":"70148676","displayToPublicDate":"2010-01-01T11:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1249,"text":"Climate Research","active":true,"publicationSubtype":{"id":10}},"title":"Relating large-scale climate variability to local species abundance: ENSO forcing and shrimp in Breton Sound, Louisiana, USA","docAbstract":"Climate creates environmental constraints (filters) that affect the abundance and distribution of species. In estuaries, these constraints often result from variability in water flow properties and environmental conditions (i.e. water flow, salinity, water temperature) and can have significant effects on the abundance and distribution of commercially important nekton species. We investigated links between large-scale climate variability and juvenile brown shrimp Farfantepenaeus aztecus abundance in Breton Sound estuary, Louisiana (USA). Our goals were to (1) determine if a teleconnection exists between local juvenile brown shrimp abundance and the El Niño Southern Oscillation (ENSO) and (2) relate that linkage to environmental constraints that may affect juvenile brown shrimp recruitment to, and survival in, the estuary. Our results identified a teleconnection between winter ENSO conditions and juvenile brown shrimp abundance in Breton Sound estuary the following spring. The physical connection results from the impact of ENSO on winter weather conditions in Breton Sound (air pressure, temperature, and precipitation). Juvenile brown shrimp abundance effects lagged ENSO by 3 mo: lower than average abundances of juvenile brown shrimp were caught in springs following winter El Niño events, and higher than average abundances of brown shrimp were caught in springs following La Niña winters. Salinity was the dominant ENSO-forced environmental filter for juvenile brown shrimp. Spring salinity was cumulatively forced by winter river discharge, winter wind forcing, and spring precipitation. Thus, predicting brown shrimp abundance requires incorporating climate variability into models.
","language":"English","publisher":"Inter-Research","publisherLocation":"Amelinghausen, Germany","doi":"10.3354/cr00898","collaboration":"Louisiana Department of Natural Resources; Louisiana Department of Wildlife and Fisheries","usgsCitation":"Piazza, B.P., LaPeyre, M.K., and Keim, B., 2010, Relating large-scale climate variability to local species abundance: ENSO forcing and shrimp in Breton Sound, Louisiana, USA: Climate Research, v. 42, no. 3, p. 195-207, https://doi.org/10.3354/cr00898.","productDescription":"13 p.","startPage":"195","endPage":"207","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-014414","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475765,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/cr00898","text":"Publisher Index Page"},{"id":301337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55853d56e4b023124e8f5b3a","contributors":{"authors":[{"text":"Piazza, Bryan P.","contributorId":11022,"corporation":false,"usgs":true,"family":"Piazza","given":"Bryan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":548985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":548982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keim, B.D.","contributorId":72988,"corporation":false,"usgs":true,"family":"Keim","given":"B.D.","email":"","affiliations":[],"preferred":false,"id":548986,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70047442,"text":"dds49025 - 2010 - Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology","interactions":[],"lastModifiedDate":"2013-11-25T15:59:04","indexId":"dds49025","displayToPublicDate":"2010-01-01T10:52:00","publicationYear":"2010","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":"490-25","title":"Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology","docAbstract":"This data set represents the area of surficial geology types in square meters compiled for every catchment of NHDPlus for the conterminous United States. The source data set is the \"Digital data set describing surficial geology in the conterminous US\" (Clawges and Price, 1999). The NHDPlus Version 1.1 is an integrated suite of application-ready geospatial datasets that incorporates many of the best features of the National Hydrography Dataset (NHD) and the National Elevation Dataset (NED). The NHDPlus includes a stream network (based on the 1:100,00-scale NHD), improved networking, naming, and value-added attributes (VAAs). NHDPlus also includes elevation-derived catchments (drainage areas) produced using a drainage enforcement technique first widely used in New England, and thus referred to as \"the New England Method.\" This technique involves \"burning in\" the 1:100,000-scale NHD and when available building \"walls\" using the National Watershed Boundary Dataset (WBD). The resulting modified digital elevation model (HydroDEM) is used to produce hydrologic derivatives that agree with the NHD and WBD. Over the past two years, an interdisciplinary team from the U.S. Geological Survey (USGS), and the U.S. Environmental Protection Agency (USEPA), and contractors, found that this method produces the best quality NHD catchments using an automated process (USEPA, 2007). The NHDPlus dataset is organized by 18 Production Units that cover the conterminous United States. The NHDPlus version 1.1 data are grouped by the U.S. Geologic Survey's Major River Basins (MRBs, Crawford and others, 2006). MRB1, covering the New England and Mid-Atlantic River basins, contains NHDPlus Production Units 1 and 2. MRB2, covering the South Atlantic-Gulf and Tennessee River basins, contains NHDPlus Production Units 3 and 6. MRB3, covering the Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy River basins, contains NHDPlus Production Units 4, 5, 7 and 9. MRB4, covering the Missouri River basins, contains NHDPlus Production Units 10-lower and 10-upper. MRB5, covering the Lower Mississippi, Arkansas-White-Red, and Texas-Gulf River basins, contains NHDPlus Production Units 8, 11 and 12. MRB6, covering the Rio Grande, Colorado and Great Basin River basins, contains NHDPlus Production Units 13, 14, 15 and 16. MRB7, covering the Pacific Northwest River basins, contains NHDPlus Production Unit 17. MRB8, covering California River basins, contains NHDPlus Production Unit 18.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dds49025","usgsCitation":"Wieczorek, M., and LaMotte, A.E., 2010, Attributes for NHDPlus catchments (version 1.1) for the conterminous United States: surficial geology: U.S. Geological Survey Data Series 490-25, Dataset, https://doi.org/10.3133/dds49025.","productDescription":"Dataset","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":276108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":276107,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/nhd_sgeol.xml"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -127.910792,23.243486 ], [ -127.910792,51.657387 ], [ -65.327751,51.657387 ], [ -65.327751,23.243486 ], [ -127.910792,23.243486 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52021ae0e4b0e21cafa49c29","contributors":{"authors":[{"text":"Wieczorek, Michael mewieczo@usgs.gov","contributorId":2309,"corporation":false,"usgs":true,"family":"Wieczorek","given":"Michael","email":"mewieczo@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":482047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaMotte, Andrew E. 0000-0002-1434-6518 alamotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1434-6518","contributorId":2842,"corporation":false,"usgs":true,"family":"LaMotte","given":"Andrew","email":"alamotte@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482048,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70148714,"text":"70148714 - 2010 - Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate","interactions":[],"lastModifiedDate":"2015-06-22T09:37:53","indexId":"70148714","displayToPublicDate":"2010-01-01T10:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate","docAbstract":"River otters (Lontra canadensis) are important predators in aquatic ecosystems, but few studies quantify their prey consumption. We trapped crayfish monthly as an index of availability and collected otter scat for diet analysis in the Ozark Mountains of northwestern Arkansas, USA. We measured otter daily energy expenditure (DEE) with the doubly labeled water method to develop a bioenergetics model for estimating monthly prey consumption. Meek's crayfish (Orconectes meeki) catch-per-unit-effort was positively related to stream temperature, indicating that crayfish were more available during warmer months. The percentage frequency of occurrence for crayfish in scat samples peaked at 85.0% in summer and was lowest (42.3%) in winter. In contrast, the percentage occurrence of fish was 13.3% in summer and 57.7% in winter. Estimates of DEE averaged 4738 kJ·day-1 for an otter with a body mass of 7842 g. Total biomass consumption ranged from 35 079 to 52 653 g·month-1 (wet mass), corresponding to a high proportion of fish and crayfish in the diet, respectively. Otter consumption represents a large fraction of prey production, indicating potentially strong effects of otters on trophic dynamics in stream ecosystems.
","language":"English","publisher":"National Research Council Canada","publisherLocation":"Ottawa","doi":"10.1139/F10-074","collaboration":"Arkansas Cooperative Fish and Wildlife Research Unit; University of Arkansas; Arkansas Game and Fish Commission; US Geological Survey; Wildlife Management Institute; Missouri Department of Conservation","usgsCitation":"Dekar, M.P., Magoulick, D.D., and Beringer, J., 2010, Bioenergetics assessment of fish and crayfish consumption by river otter (Lontra canadensis): integrating prey availability, diet, and field metabolic rate: Canadian Journal of Fisheries and Aquatic Sciences, v. 67, no. 9, p. 1439-1448, https://doi.org/10.1139/F10-074.","productDescription":"10 p.","startPage":"1439","endPage":"1448","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016012","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":301402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"67","issue":"9","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558931b3e4b0b6d21dd61bc5","contributors":{"authors":[{"text":"Dekar, Matthew P.","contributorId":139245,"corporation":false,"usgs":false,"family":"Dekar","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":549102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":549081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beringer, J.","contributorId":25274,"corporation":false,"usgs":true,"family":"Beringer","given":"J.","email":"","affiliations":[],"preferred":false,"id":549103,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148192,"text":"70148192 - 2010 - Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys","interactions":[],"lastModifiedDate":"2015-05-26T09:45:12","indexId":"70148192","displayToPublicDate":"2010-01-01T10:45:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys","docAbstract":"The Least Bittern (Ixobrychus exilis) and the Pied-billed Grebe (Podilymbus podiceps) are secretive marsh bird species that breed in the Illinois and Upper Mississippi River Valleys. Marsh bird surveys were conducted on public and private wetlands in this region during the breeding seasons of 2006 and 2007. Detection probability (ῥ) and site occupancy probability (ψ) were estimated for each species separately for each year. Candidate models including sampling and habitat covariates were compared using AIC(c) to determine what variables had the greatest influence on ῥ and ψ. Average ῥ for Least Bitterns was 0.29 in 2006 and 0.18 in 2007, and varied throughout the 2007 survey season. Average ψ for Pied-billed Grebes was 0.44 in 2006 and 0.22 in 2007, and an observer effect was found in 2007. Overall ψ for Least Bitterns was 0.17 in 2006 and 0.14 in 2007. Least Bittern occupancy was positively related to tall emergent vegetation cover in both years and to water-vegetation interspersion in 2007, and was negatively related to woody vegetation cover in 2007. Overall ψ for Pied-billed Grebes was 0.21 in 2006 and 0.31 in 2007. Pied-billed Grebe occupancy was negatively related to woody vegetation cover in both years, and was positively related to areas of open water in 2006. Land managers targeting these species should provide wetlands free from woody vegetation with extensive areas of open water for Pied-billed Grebes, and tall emergent vegetation interspersed with small pools of water for Least Bitterns.
","language":"English","publisher":"Waterbird Society","publisherLocation":"Washington, D.C.","doi":"10.1675/063.033.0314","usgsCitation":"Darrah, A.J., and Krementz, D.G., 2010, Occupancy and habitat use of the Least Bittern and Pied-Billed Grebe in the Illinois and Upper Mississippi River Valleys: Waterbirds, v. 33, no. 3, p. 367-375, https://doi.org/10.1675/063.033.0314.","productDescription":"9 p.","startPage":"367","endPage":"375","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-013681","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":300767,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55659950e4b0d9246a9eb639","contributors":{"authors":[{"text":"Darrah, Abigail J. adarrah@usgs.gov","contributorId":5883,"corporation":false,"usgs":true,"family":"Darrah","given":"Abigail","email":"adarrah@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":547577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krementz, David G. 0000-0002-5661-4541 dkrementz@usgs.gov","orcid":"https://orcid.org/0000-0002-5661-4541","contributorId":2827,"corporation":false,"usgs":true,"family":"Krementz","given":"David","email":"dkrementz@usgs.gov","middleInitial":"G.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":547551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70207431,"text":"70207431 - 2010 - Possible tradeoffs from urbanization on groundwater recharge and water quality","interactions":[],"lastModifiedDate":"2019-12-19T10:51:08","indexId":"70207431","displayToPublicDate":"2010-01-01T10:42:18","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3449,"text":"Southwest Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Possible tradeoffs from urbanization on groundwater recharge and water quality","docAbstract":"No abstract available.
","language":"English","publisher":"University of Arizona","usgsCitation":"Lohse, K.A., Gallo, E.L., and Kennedy, J.R., 2010, Possible tradeoffs from urbanization on groundwater recharge and water quality: Southwest Hydrology, v. 9, p. 18-20.","productDescription":"3 p.","startPage":"18","endPage":"20","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":370475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":370474,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.swhydro.arizona.edu/archive/V9_N1"}],"country":"United 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\"}}]}","volume":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lohse, Kathleen A. 0000-0003-1779-6773","orcid":"https://orcid.org/0000-0003-1779-6773","contributorId":196995,"corporation":false,"usgs":false,"family":"Lohse","given":"Kathleen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":777986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallo, Erika L.","contributorId":221369,"corporation":false,"usgs":false,"family":"Gallo","given":"Erika","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":777989,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":2172,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":777988,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70056553,"text":"70056553 - 2010 - Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model","interactions":[],"lastModifiedDate":"2014-05-27T10:45:36","indexId":"70056553","displayToPublicDate":"2010-01-01T10:37:14","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":12,"text":"Conference publication"},"title":"Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model","docAbstract":"A model with a small amount of numerical dispersion was used to represent saltwater 7 intrusion in a homogeneous aquifer for a 10-year historical calibration period with one 8 groundwater withdrawal location followed by a 10-year prediction period with two groundwater 9 withdrawal locations. Time-varying groundwater concentrations at arbitrary locations in this low-10 dispersion model were then used as observations to calibrate a model with a greater amount of 11 numerical dispersion. The low-dispersion model was solved using a Total Variation Diminishing 12 numerical scheme; an implicit finite difference scheme with upstream weighting was used for 13 the calibration simulations. Calibration focused on estimating a three-dimensional hydraulic 14 conductivity field that was parameterized using a regular grid of pilot points in each layer and a 15 smoothness constraint. Other model parameters (dispersivity, porosity, recharge, etc.) were 16 fixed at the known values. The discrepancy between observed and simulated concentrations 17 (due solely to numerical dispersion) was reduced by adjusting hydraulic conductivity through the 18 calibration process. Within the transition zone, hydraulic conductivity tended to be lower than 19 the true value for the calibration runs tested. The calibration process introduced lower hydraulic 20 conductivity values to compensate for numerical dispersion and improve the match between 21 observed and simulated concentration breakthrough curves at monitoring locations. 22 Concentrations were underpredicted at both groundwater withdrawal locations during the 10-23 year prediction period.","largerWorkTitle":"Proceedings 2009 PEST Conference","conferenceTitle":"The PEST Conference","conferenceDate":"2009-11-02T00:00:00","conferenceLocation":"Potomac, MD","language":"English","publisher":"S.S. Papadopulos & Associates, Inc.","usgsCitation":"Langevin, C.D., and Hughes, J.D., 2010, Effect of numerical dispersion as a source of structural noise in the calibration of a highly parameterized saltwater intrusion model, 14 p.","productDescription":"14 p.","startPage":"146","endPage":"159","numberOfPages":"14","ipdsId":"IP-016533","costCenters":[{"id":286,"text":"Florida Water Science Center-Ft. Lauderdale","active":false,"usgs":true}],"links":[{"id":287585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279255,"type":{"id":15,"text":"Index Page"},"url":"https://www.sspa.com/pest/the-pest-conference.html"},{"id":287586,"type":{"id":15,"text":"Index Page"},"url":"https://www.lulu.com/shop/ss-papadopulos-associates-inc/pest-conference-2009-proceedings-potomac-maryland-color/ebook/product-17380276.html"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5385b3f5e4b09e18fc023a43","contributors":{"authors":[{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":486598,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199019,"text":"70199019 - 2010 - Applications of stable isotopes for regional to national-scale water quality and environmental monitoring programs","interactions":[],"lastModifiedDate":"2018-08-29T10:38:59","indexId":"70199019","displayToPublicDate":"2010-01-01T10:36:51","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Applications of stable isotopes for regional to national-scale water quality and environmental monitoring programs","docAbstract":"Isotopes are a potentially powerful component of monitoring and assessment programs aimed at quantifying and mitigating alterations to environments from human activities. In particular, isotopic techniques have proved useful for tracing sources and sinks of various pollutants in large river basins, wetlands, and airsheds. Many of these studies have been conducted at the regional to national scale by building on existing large-scale water, air, and ecological monitoring programs managed by federal and state agencies, and demonstrate the usefulness of isotopes as a complement to standard chemical and hydrological mass balance methods. This chapter presents an overview of how nitrate, particulate organic matter, and water isotopes can be used to interpret spatial patterns and temporal changes in pollution sources, biogeochemical processes, and ecosystem function in watersheds, at the regional to national scale. Examples from several recent and ongoing studies are presented. From the insights developed using varied sampling strategies and isoscapes, we suggest guidelines for future studies in biologically active and human-impacted rivers.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Isoscapes","language":"English","publisher":"Springer","doi":"10.1007/978-90-481-3354-3_5","isbn":"978-90-481-3354-3","usgsCitation":"Kendall, C., Young, M.B., and Silva, S.R., 2010, Applications of stable isotopes for regional to national-scale water quality and environmental monitoring programs, chap. 5 of Isoscapes, p. 89-111, https://doi.org/10.1007/978-90-481-3354-3_5.","productDescription":"23 p.","startPage":"89","endPage":"111","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":356909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2009-11-05","publicationStatus":"PW","scienceBaseUri":"5b98b7dfe4b0702d0e844f65","contributors":{"editors":[{"text":"West, J.","contributorId":104902,"corporation":false,"usgs":true,"family":"West","given":"J.","affiliations":[],"preferred":false,"id":743793,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dawson, T.","contributorId":175453,"corporation":false,"usgs":false,"family":"Dawson","given":"T.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":743794,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Tu, K.","contributorId":64420,"corporation":false,"usgs":true,"family":"Tu","given":"K.","email":"","affiliations":[],"preferred":false,"id":743795,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Kendall, Carol 0000-0002-0247-3405 ckendall@usgs.gov","orcid":"https://orcid.org/0000-0002-0247-3405","contributorId":1462,"corporation":false,"usgs":true,"family":"Kendall","given":"Carol","email":"ckendall@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":743790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, Megan B. 0000-0002-0229-4108 mbyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0229-4108","contributorId":3315,"corporation":false,"usgs":true,"family":"Young","given":"Megan","email":"mbyoung@usgs.gov","middleInitial":"B.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":743791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silva, Steven R. srsilva@usgs.gov","contributorId":3162,"corporation":false,"usgs":true,"family":"Silva","given":"Steven","email":"srsilva@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":743792,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70004074,"text":"70004074 - 2010 - Methylmercury cycling, bioaccumulation, and export from agricultural and non-agricultural wetlands in the Yolo Bypass","interactions":[],"lastModifiedDate":"2019-08-08T11:41:01","indexId":"70004074","displayToPublicDate":"2010-01-01T10:30:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Methylmercury cycling, bioaccumulation, and export from agricultural and non-agricultural wetlands in the Yolo Bypass","docAbstract":"This 18-month field study addresses the seasonal and spatial patterns and processes controlling methylmercury (MeHg) production, bioaccumulation, and export from natural and agricultural wetlands of the Yolo Bypass Wildlife Area (YBWA). The data were collected in conjuntion with a Proposition 40 grant from the State Water Resources Control Board in support of the development of Best Management Practices (BMP's) for reducing MeHg loading from agricultural lands in the wetland-dominated Yolo Bypass to the Sacramento-San Joaquin River Delta. The four managemenr-based questions addressed in this study were:
\n1. Is there a different among agricultural and managfed wetland types in terms of Me Hg dynamic (production, degradation, bioaccumulation, or export)?
\n2. Does water residence time influence MeHg dynamics?
\n3. Does the application of sulfate-based fertilizer impact MeHg production rates?
\n4. Does the presence (or absence) of vegetation influence MeHg production rates?
\nMeasurements of MeHg concentrations in sediment, water, and biota (plants, invertebrates, and fish) were made to assess management-level patterns in five wetland types, which included three type of shallowly-flooded agricultural wetlands (white rice, wild rice, and fallow) and two types of managed wetlands (permanently and seasonally flooded). To strengthen our understanding of the processes underlying the seasonal and spatial patterns of MeHg cycling, additional exploratory factors were measured including ancillary sediment and water quality parameters, stable isotope fractionation (oxygen, sulfur, carbon, and nitrogen), photodemethylation rates, and daily-integrated hydrologic budgets. Samples and field data were collected from May 2007 to July 2008, and nearly all sample analyses were completed by September 2008 as per the Quality Assurance Program Plan (QAPP) requirements.
\nAlthough wetland type was a major factor that drove the study design, within-field hydrology also proved to be an important factor controlling aqueous MeHg and total mercury (THg) concentrations and export. Overall, agricultural wetlands exhibited higher MeHg concentrations in overlying water, sediment, and biota than did managed seasonal and permanent wetlands. This appears to be partly due to higher rates of sediment in microbial production of MeHg on agricultural wetlands during the fall through spring period. Both sulfate- and iron-reducing bacteria have been implicated in the MeHg production process, and both were demonstrably active in all wetlands studied; however, sulfate-reducing bacteria were not stimulated by the addition of sulfate-based fertilizer to agricultural wetlands, suggesting that easily-degraded (labile) organic matter, rather than sulfate, was limiting their activity in these field types. The data suggest that agriculturally-managed soils promoted MeHg production through 1) enhanced microbial activity via higher temperatures and larger pools of labile carbon, and 2) enhanced pools of microbially available inorganic divalent mercury (Hg(II)) resulting from a decrease in reduced-sulfur, solid-phase minerals under oxic or only mildly reducing conditions.
\nMeHg mass balances were assessed by comparing filed-specific MeHg loads for inlets vs. outlet flows. The overall mass balance for MeHg in surface water during the summer irrigation period (June - September 2007) indicated little to no net MeHg export from the six agricultural wetlands taken as a whole. Of the six agricultural wetlands, there was net overall MeHg export from two fields (one fallow and one white rice) during August, and from four of the six fields (one fallow, one white rice, and two wild rice) during September) Over the entire summer irrigation period, two of the fields (one fallow and one wild rive) showed net MeHg export, and the other four fields showed wither net import or no significant change. Rates of measured photomethylation and exchange between sediment and water pools suggest that both processes may be responsible for the lack of MeHg export. Despite significant differences during winter months between fields in surface water concentrations of MeHg, MeHg loads were not calculated in mid-winter because flood waters had overtopped field boundaries and field fidelity could not be established.
\nDuring the summer 2007 irrigation season, surface water out-flows from agricultural wetlands were 9%-36% of inlet flows, and evaporation rates explained most of this water loss, with infiltration likely accounting for the remainder. Unfiltered aqueous MeHg concentrations increased from <1 ng L-1 in source waters to up to 10 ng L-1 in agricultural wetland drains during the summer irrigation period. Increases in solute concentration caused by evapoconcentration were estimated by determining concentration factors (outflow/inflow) for chloride (a conservative dissolved constituent) and by measuring oxygen isotope ratios (18O/16O, expressed as δ18O) in water. Increases in MeHg concentration from inflows-to-outflows exceeded those caused by evapoconcentration on several fields during the summer irrigation season. This was especially true when initial surface water MeHg concentrations were low, as seen in the southern block of fields receiving irrigation water directly from the Toe Drain. The northern block of fields received irrigation water from Greens Lake, which included Toe Drain water plus recirculated drain water from other agricultural fields within the Yolo Bypass and west of the Yolo Bypass; as such, the northern fields showed a smaller percentage increase in MeHg concentration because initial MeHg concentrations in surface water inflows were greater than in inputs to the southern fields.
\nMercury concentrations in fish were greater in agricultural wetlands white rice and wild rice) than in the two permanently flooded wetlands. Additionally, Hg concentrations in biota showed a general increase from inlets to outlets withing agricultural wetlands, but not within permanent wetlands. This was particular evident in white rice fields where caged western mosquitofish at the outlets had Hg concentrations that were more than 4 times higher than in caged fish held at the inlets. Similar spatial patterns in Hg bioaccumulation in agricultural and permanent wetlands were seen for wild populations of western mosquitofish and Mississippi silversides. In contrast to fish, invertebrates, such as water-boatman (Corixidae) and back swimmers (Notonectidae), had greater Hg concentrations in permanent wetlands than in tempoarirly flooded agricultural wetlands, Fish THg concentrations were weakly correlated with water MeHg,a and not correlated with sediment MeHg. In contrast, invertebrate MeHg concentrations were more strongly correlated with sediment MeHg than with water MeHg concentrations. These results illustrate the complexity of MeHg bioaccumulation through food webs and indicate the importance of simultaneously using multiple biosentinels when monitoring MeHg production and bioaccumulation.
\nDespite high sediment production rates and water concentrations in agricultural wetlands, MeHg export was physically limited by hydrologic export for all wetlands studied. We suggest that load reduction is maximized by limiting water throughout, but that on-site biota exposure is maximized by this loner water residence time. While field-specific hydrologic loads could not be fully quantified during flood conditions in February 2008, we suggest that the primary period of MeHg export from Yolo Bypass Wildlife Area is during those winter flooding periods when overall microbial activity and MeHg production in agricultural soils is fueled by the decomposition of rice straw, and when hydrologic flowthrough is maximal.
\nLocal stakeholders participated in two workshops related to this study, demonstrating an interest in understanding factors controlling MeHg production, export, and bioaccumulation. The results of this field study show that permanently flooded, naturally vegetated wetlands are unlikely to a large source of MeHg production within the YBWA, in contrast with agriculturally-managed wetlands. MeHg loading to Toe Drain waters of the Yolo Bypass may be reduced by lowering rated of hydrologic export from agricultural wetlands during the growing season and especially during rice harvest, However, under these water-holding conditions, biota living within agricultural wetlands may thus be exposed to higher MeHg concentrations in surface water, As observed in this study, rapid bioacculumaltion over a 2-month period led to MeHg concentrations in invertebrates and fish more than 6 and 11 times higher, respectively, than proposed TMDL target values to protect wildlife (0.03 ppm ww).
\nThe results of this field study, together with the information from YBWA stakeholders, provide a more definitive understanding of how MeHg cycling and bioaccumulation respond to habitat differences and specific management practices. These results directly address 4 core components of CBDA's Mercury Strategy for the Bay-Delta Ecosystem (Wiener et al., 2003a):
\na) Quantification and evaluation of THg and MeHg sources,
\nb) Quantification of effects of ecosystem restoration on MeHg exposure,
\nc) Assessment of ecological risk, and
\nd) Identification and testing of potential management approaches for reducing MeHg contamination.
\nIn addition, the quantitative results reported here assess the effect of current land use practices in the Yolo Bypass MeHg production, bioaccumulation and export, and provide process-based advice towards achieving current goals of the RWQCB-CVR's Sacramento -- San Joaquin Delta Estuary TMDL for Methyl & Total Mercury (Wood et al., 2010b). Further work is necessary to evaluate biotic exposure in the Yolo Bypass Wildlife Area at higher trophic levels (e.g. birds), to quantify winter hydrologic flux of MeHg to the larger Delta ecosystem, and to evaluate rice straw management options to limit labile carbon supplies to surface sediment during winter months.
\nIn summary, agricultural management of rice fields -- specifically the periodic flooding and production of easily degraded organic matter -- promotes the production of MeHg beyond rates seen in naturally vegetated wetlands, whether seasonally or permanently flooded., The exported load from MeHg from these agricultural wetlands may be controlled by limiting hydrologic export from fields to enhance on-site MeHg removal processes, but the tradeoff is that this impoundement increases Me Hg exposure to resident organisms.
","language":"English","publisher":"San Jose State University Research Foundation","publisherLocation":"San Jose, CA","usgsCitation":"Windham-Myers, L., Marvin-DiPasquale, M., Fleck, J., Alpers, C.N., Ackerman, J., Eagles-Smith, C.A., Stricker, C., Stephenson, M., Feliz, D., Gill, G., Bachand, P., Brice, A., and Kulakow, R., 2010, Methylmercury cycling, bioaccumulation, and export from agricultural and non-agricultural wetlands in the Yolo Bypass, xvii, 116 p.","productDescription":"xvii, 116 p.","numberOfPages":"265","ipdsId":"IP-025308","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":292018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Yolo","otherGeospatial":"Yolo Bypass","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -121.821159,38.726961 ], [ -121.821159,38.750153 ], [ -121.796874,38.750153 ], [ -121.796874,38.726961 ], [ -121.821159,38.726961 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53eb2a83e4b0461e44764a81","contributors":{"authors":[{"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":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marvin-DiPasquale, Mark","contributorId":57423,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","affiliations":[],"preferred":false,"id":350411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleck, Jacob 0000-0002-3217-3972","orcid":"https://orcid.org/0000-0002-3217-3972","contributorId":47883,"corporation":false,"usgs":true,"family":"Fleck","given":"Jacob","affiliations":[],"preferred":false,"id":350408,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":350406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":350405,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stricker, Craig","contributorId":99483,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","affiliations":[],"preferred":false,"id":350413,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stephenson, Mark","contributorId":56951,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mark","email":"","affiliations":[],"preferred":false,"id":350410,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feliz, David","contributorId":35664,"corporation":false,"usgs":true,"family":"Feliz","given":"David","email":"","affiliations":[],"preferred":false,"id":350407,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gill, Gary","contributorId":94587,"corporation":false,"usgs":true,"family":"Gill","given":"Gary","affiliations":[],"preferred":false,"id":350412,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bachand, Philip","contributorId":54907,"corporation":false,"usgs":true,"family":"Bachand","given":"Philip","affiliations":[],"preferred":false,"id":350409,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Brice, Ann","contributorId":8395,"corporation":false,"usgs":true,"family":"Brice","given":"Ann","email":"","affiliations":[],"preferred":false,"id":350404,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kulakow, Robin","contributorId":105244,"corporation":false,"usgs":true,"family":"Kulakow","given":"Robin","email":"","affiliations":[],"preferred":false,"id":350414,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70049350,"text":"70049350 - 2010 - Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model","interactions":[],"lastModifiedDate":"2013-11-12T10:26:51","indexId":"70049350","displayToPublicDate":"2010-01-01T10:20:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model","docAbstract":"Numerical modeling is needed to predict environmental temperatures, which affect a number of biota in southern Florida, U.S.A., such as the West Indian manatee (Trichechus manatus), which uses thermal basins for refuge from lethal winter cold fronts. To numerically simulate heat-transport through a dynamic coastal wetland region, an algorithm was developed for the FTLOADDS coupled hydrodynamic surface-water/ground-water model that uses formulations and coefficients suited to the coastal wetland thermal environment. In this study, two field sites provided atmospheric data to develop coefficients for the heat flux terms representing this particular study area. Several methods were examined to represent the heat-flux components used to compute temperature. A Dalton equation was compared with a Penman formulation for latent heat computations, producing similar daily-average temperatures. Simulation of heat-transport in the southern Everglades indicates that the model represents the daily fluctuation in coastal temperatures better than at inland locations; possibly due to the lack of information on the spatial variations in heat-transport parameters such as soil heat capacity and surface albedo. These simulation results indicate that the new formulation is suitable for defining the existing thermohydrologic system and evaluating the ecological effect of proposed restoration efforts in the southern Everglades of Florida.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-010-0053-7","usgsCitation":"Swain, E., and Decker, J., 2010, Measurement-derived heat-budget approaches for simulating coastal wetland temperature with a hydrodynamic model: Wetlands, v. 30, no. 3, p. 635-648, https://doi.org/10.1007/s13157-010-0053-7.","productDescription":"14 p.","startPage":"635","endPage":"648","numberOfPages":"14","ipdsId":"IP-004335","costCenters":[{"id":285,"text":"Florida Water Science Center","active":false,"usgs":true}],"links":[{"id":279002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":279001,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s13157-010-0053-7"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.5212,24.85 ], [ -81.5212,25.8918 ], [ -80.3887,25.8918 ], [ -80.3887,24.85 ], [ -81.5212,24.85 ] ] ] } } ] }","volume":"30","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-05-04","publicationStatus":"PW","scienceBaseUri":"52835c1ee4b047efbbb4ae02","contributors":{"authors":[{"text":"Swain, Eric 0000-0001-7168-708X","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":23347,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","affiliations":[],"preferred":false,"id":486104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Jeremy","contributorId":99662,"corporation":false,"usgs":true,"family":"Decker","given":"Jeremy","affiliations":[],"preferred":false,"id":486105,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70199016,"text":"70199016 - 2010 - Potential effects of coal bed natural gas development on fish and aquatic resources","interactions":[],"lastModifiedDate":"2018-08-29T10:25:05","indexId":"70199016","displayToPublicDate":"2010-01-01T10:19:06","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Potential effects of coal bed natural gas development on fish and aquatic resources","docAbstract":"The purpose of this chapter is to provide a summary of issues and findings related to the potential effects of coalbed natural gas (CBNG) development on fish and other aquatic resources. We reviewed CBNG issues from across the United States and used the Powder River Basin of Wyoming as a case study to exemplify some pertinent issues. The quality of water produced during CBNG extraction is quite variable. High total dissolved solids in many CBNG produced waters are of concern relative to fish and other aquatic organisms. Untreated CBNG produced water has the potential to be toxic to fish and aquatic organisms. Of particular concern at some locations in the Powder River basin are elevated concentrations of sodium bicarbonate which have been shown to be toxic to some species of larval fish and aquatic invertebrates. The areas affected by direct toxicity were limited to headwaters and small tributaries studied in the basin. The potential effects of organic compounds used during well drilling and CBNG production on water
quality, fish, and aquatic organisms are not well defined. Water produced from CBNG wells that is low in salts or has been treated to remove salts may be discharged into ephemeral or perennially-flowing streams. Higher flows in small streams can enhance erosion and affect habitat for fish and aquatic organisms. In Great Plains rivers, such as the Powder River, fish and aquatic invertebrate communities are structured by extreme environmental conditions. Direct discharge of CBNG produced water during periods of very low or no surface flow may cause shifts in the aquatic community structure. Additional effects of CBNG development on fish and aquatic organisms may stem from road building and pipeline construction, roads crossing streams and ephemeral water courses, the possible spread of invasive organisms, potential spills of toxic substances, and increased harvest of sport fish.
A mark-recapture field study was conducted to determine fish passage at 5 concrete box culverts and 5 low-water crossings (concrete slabs vented by culverts) as well as 10 control sites (below a natural riffle) in Flint Hills streams of northeastern Kansas. Additionally, we tested the upstream passage of four fish species native to Great Plains streams (Topeka shiner Notropis topeka, green sunfish Lepomis cyanellus, red shiner Cyprinella lutrensis, and southern redbelly dace Phoxinus erythrogaster) through three simulated crossing designs (box culverts, round corrugated culverts, and natural rock riffles) at water velocities of 0.1 to 1.1 m/s in an experimental stream. The field study indicated that cyprinids were twice as likely to move upstream of box culverts than low-water crossings and 1.4 times as likely to move upstream of control reaches than any crossing type. The best models indicated that the proportion of cyprinids that moved upstream increased with decreased culvert slope and length, perching, and increased culvert width. Our controlled experiment indicated that fish can move through velocities up to 1.1 m/s in a 1.86-m simulated stream and that the proportion of fish that moved upstream did not differ among crossing designs for southern redbelly dace, green sunfish, or Topeka shiner; however, natural rock riffles had lower proportional movements (mean = 0.19) than the box (0.38) or corrugated culvert designs (0.43) for red shiners. Water velocity did not affect the proportional upstream movement of any species except that of Topeka shiners, which increased with water velocity. Crossing design alone may not determine fish passage, and water velocities up to 1.1 m/s may not affect the passage of many Great Plains fishes. Barriers to fish movement may be the result of other factors (e.g., perching, slope, and crossing length). The use of properly designed and installed crossings has promise in conserving Great Plains stream fishes.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1577/T09-040.1","usgsCitation":"Bouska, W.W., and Paukert, C.P., 2010, Road crossing designs and their impact on fish assemblages of Great Plains streams: Transactions of the American Fisheries Society, v. 139, no. 1, p. 214-222, https://doi.org/10.1577/T09-040.1.","productDescription":"9 p.","startPage":"214","endPage":"222","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012483","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":475771,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1577/t09-040.1","text":"Publisher Index Page"},{"id":302355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2011-01-09","publicationStatus":"PW","scienceBaseUri":"558e77bae4b0b6d21dd6596c","contributors":{"authors":[{"text":"Bouska, Wesley W.","contributorId":143724,"corporation":false,"usgs":false,"family":"Bouska","given":"Wesley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":556929,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":879,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70103047,"text":"70103047 - 2010 - Introduction to the JEEG Agricultural Geophysics Special Issue","interactions":[],"lastModifiedDate":"2017-11-07T10:25:18","indexId":"70103047","displayToPublicDate":"2010-01-01T09:41:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3928,"text":"Journal of Environmental & Engineering Geophysics","printIssn":"1083-1363","active":true,"publicationSubtype":{"id":10}},"title":"Introduction to the JEEG Agricultural Geophysics Special Issue","docAbstract":"Near-surface geophysical methods have become increasingly important tools in applied agricultural practices and studies. The great advantage of geophysical methods is their potential rapidity, low cost, and spatial continuity when compared to more traditional methods of assessing agricultural land, such as sample collection and laboratory analysis. Agricultural geophysics investigations commonly focus on obtaining information within the soil profile, which generally does not extend much beyond 2 meters beneath the ground surface. Although the depth of interest oftentimes is rather shallow, the area covered by an agricultural geophysics survey can vary widely in scale, from experimental plots (10 s to 100 s of square meters), to farm fields (10 s to 100 s of hectares), up to the size of watersheds (10 s to 100 s of square kilometers). To date, three predominant methods—resistivity, electromagnetic induction (EMI), and ground-penetrating radar (GPR)—have been used to obtain surface-based geophysical measurements within agricultural settings. However, a recent conference on agricultural geophysics (Bouyoucos Conference on Agricultural Geophysics, September 8–10, 2009, Albuquerque, New Mexico; www.ag-geophysics.org) illustrated that other geophysical methods are being applied or developed. These include airborne electromagnetic induction, magnetometry, seismic, and self-potential methods. Agricultural geophysical studies are also being linked to ground water studies that utilize deeper penetrating geophysical methods than normally used.
","language":"English","publisher":"Environmental and Engineering Geophysical Society","doi":"10.2113/JEEG15.3.v","usgsCitation":"Allred, B., and Smith, B.D., 2010, Introduction to the JEEG Agricultural Geophysics Special Issue: Journal of Environmental & Engineering Geophysics, v. 15, no. 3, p. v-vi, https://doi.org/10.2113/JEEG15.3.v.","productDescription":"2 p.","startPage":"v","endPage":"vi","ipdsId":"IP-022739","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":286754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286753,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2113/JEEG15.3.v"}],"volume":"15","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-09-21","publicationStatus":"PW","scienceBaseUri":"5360c9efe4b082a3ecf53e0f","contributors":{"authors":[{"text":"Allred, Barry J.","contributorId":23451,"corporation":false,"usgs":true,"family":"Allred","given":"Barry J.","affiliations":[],"preferred":false,"id":493138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Bruce D. 0000-0002-1643-2997 bsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-1643-2997","contributorId":845,"corporation":false,"usgs":true,"family":"Smith","given":"Bruce","email":"bsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":493137,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70246273,"text":"70246273 - 2010 - Fish guidance and passage at barriers","interactions":[],"lastModifiedDate":"2023-06-29T14:51:26.992351","indexId":"70246273","displayToPublicDate":"2010-01-01T09:39:52","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fish guidance and passage at barriers","docAbstract":"Habitat fragmentation resulting from human activities is a major factor contributing to reductions in biodiversity and species abundance worldwide. When movements are restricted, subpopulations become isolated, leading to reduced breeding opportunities, inbreeding depression, and interruption of key life stages. This problem is particularly ubiquitous in riverine ecosystems, where dams, water diversions, culverts, and other structures create barriers to movements of aquatic organisms. Fragmentation and obstacles to movement can be a natural and important part of riverine ecosystems. The challenge of fish passage is to mitigate for the effects of the barriers by providing passage routes that are both safe and effective. Fish passage technology would greatly benefit from more research on the associations between hydraulics and other environmental stimuli and rheotaxis in migratory fish. Migratory delay, poor attraction, fallback and stalling within fishways, and both immediate and delayed passage-induced mortality are common problems identified for a range of fishway types and taxa.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Fish locomotion: An eco-ethological perspective","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"CRC Press","doi":"10.1201/b10190-3","usgsCitation":"Castro-Santos, T.R., and Haro, A., 2010, Fish guidance and passage at barriers, chap. of Fish locomotion: An eco-ethological perspective, p. 62-89, https://doi.org/10.1201/b10190-3.","productDescription":"28 p.","startPage":"62","endPage":"89","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":418624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Domenici, Paolo","contributorId":315469,"corporation":false,"usgs":false,"family":"Domenici","given":"Paolo","email":"","affiliations":[],"preferred":false,"id":876590,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Kapoor, B. G.","contributorId":315470,"corporation":false,"usgs":false,"family":"Kapoor","given":"B.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":876591,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":876588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haro, Alexander 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":139198,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":876589,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70047820,"text":"70047820 - 2010 - Effects of model layer simplification using composite hydraulic properties","interactions":[],"lastModifiedDate":"2013-08-26T10:37:39","indexId":"70047820","displayToPublicDate":"2010-01-01T09:38:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effects of model layer simplification using composite hydraulic properties","docAbstract":"The effects of simplifying hydraulic property layering within an unconfined aquifer and the underlying confining unit were assessed. The hydraulic properties of lithologic units within the unconfined aquifer and confining unit were computed by analyzing the aquifer-test data using radial, axisymmetric two-dimensional (2D) flow. Time-varying recharge to the unconfined aquifer and pumping from the confined Upper Floridan aquifer (USA) were simulated using 3D flow. Conceptual flow models were developed by gradually reducing the number of lithologic units in the unconfined aquifer and confining unit by calculating composite hydraulic properties for the simplified lithologic units. Composite hydraulic properties were calculated using either thickness-weighted averages or inverse modeling using regression-based parameter estimation. No significant residuals were simulated when all lithologic units comprising the unconfined aquifer were simulated as one layer. The largest residuals occurred when the unconfined aquifer and confining unit were aggregated into a single layer (quasi-3D), with residuals over 100% for the leakage rates to the confined aquifer and the heads in the confining unit. Residuals increased with contrasts in vertical hydraulic conductivity between the unconfined aquifer and confining unit. Residuals increased when the constant-head boundary at the bottom of the Upper Floridan aquifer was replaced with a no-flow boundary.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1007/s10040-009-0505-4","usgsCitation":"Sepulveda, N., and Kuniansky, E.L., 2010, Effects of model layer simplification using composite hydraulic properties: Hydrogeology Journal, v. 18, no. 2, p. 405-416, https://doi.org/10.1007/s10040-009-0505-4.","productDescription":"12 p.","startPage":"405","endPage":"416","numberOfPages":"12","ipdsId":"IP-005936","costCenters":[{"id":287,"text":"Florida Water Science Center-Orlando","active":false,"usgs":true}],"links":[{"id":475774,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://openresearchlibrary.org/ext/api/media/ce025b4b-e114-4fb5-9de4-e8e0e692a856/assets/external_content.pdf","text":"External Repository"},{"id":276981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":276979,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-009-0505-4"}],"country":"United States","state":"Florida","county":"Lake County;Volusia County","otherGeospatial":"Carrot Barn Sur?cial Aquifer System Well ?eld;Lyonia Preserve Sur?cial Aquifer System Well ?eld","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.783333,28.883333 ], [ -81.783333,28.933333 ], [ -81.216667,28.933333 ], [ -81.216667,28.883333 ], [ -81.783333,28.883333 ] ] ] } } ] }","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-09-04","publicationStatus":"PW","scienceBaseUri":"521c78e5e4b01458f784292c","contributors":{"authors":[{"text":"Sepulveda, Nicasio 0000-0002-6333-1865 nsepul@usgs.gov","orcid":"https://orcid.org/0000-0002-6333-1865","contributorId":1454,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Nicasio","email":"nsepul@usgs.gov","affiliations":[{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":true,"id":483061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuniansky, Eve L. 0000-0002-5581-0225 elkunian@usgs.gov","orcid":"https://orcid.org/0000-0002-5581-0225","contributorId":932,"corporation":false,"usgs":true,"family":"Kuniansky","given":"Eve","email":"elkunian@usgs.gov","middleInitial":"L.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":483060,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70230190,"text":"70230190 - 2010 - The biostratigraphic importance of conchostracans in the continental Triassic of the northern hemisphere","interactions":[],"lastModifiedDate":"2022-04-04T14:40:40.381972","indexId":"70230190","displayToPublicDate":"2010-01-01T09:35:16","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The biostratigraphic importance of conchostracans in the continental Triassic of the northern hemisphere","docAbstract":"Conchostracans or clam shrimp (order Conchostraca Sars) are arthropods with a carapace consisting of two chitinous lateral valves. Triassic conchostracans range in size from 2 to 12.5 mm long and are common in deposits that formed in fresh water lakes, isolated ponds and brackish areas. Their dessication- and freeze-resistant eggs can be dispersed by wind over long distances. Therefore many conchostracan species are distributed throughout the entire northern hemisphere. In the Late Permian to Middle Triassic interval, several of these forms are also found in Gondwana. Many wide-ranging conchostracan species have short stratigraphic ranges, making them excellent guide forms for subdivision of Triassic time and for long-range correlations. The stratigraphic resolution that can be achieved with conchostracan zones is often as high as for ammonoid and conodont zones found in pelagic marine deposits. This makes conchostracans the most useful group available for biostratigraphic subdivision and correlation in continental lake deposits. Upper Triassic Gondwanan conchostracan faunas are different from conchostracan faunas of the northern hemisphere. In the Norian, some slight provincialism can be observed even within the northern hemisphere. For example, the Sevatian Redondestheria seems to be restricted to North America and Acadiestheriella n. gen. so far has been found only in the Sevatian deposits from the Fundy Basin of southeastern Canada. Here we establish a conchostracan zonation for the Changhsingian (Late Permian) to Hettangian (Early Jurassic) of the northern hemisphere that, for the most part, is very well correlated with the marine scale. This zonation is especially robust for the Changhsingian to early Anisian, late Ladinian to Cordevolian and Rhaetian to Hettangian intervals. For most of the Middle and Upper Triassic, this zonation is still preliminary. Five new genera, six new species and a new subspecies of conchostracans are described that are stratigraphically important.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Triassic timescale","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of London","doi":"10.1144/SP334.13","usgsCitation":"Kozur, H.W., and Weems, R.E., 2010, The biostratigraphic importance of conchostracans in the continental Triassic of the northern hemisphere, chap. of The Triassic timescale, p. 315-417, https://doi.org/10.1144/SP334.13.","productDescription":"103 p.","startPage":"315","endPage":"417","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":398010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozur, H. W.","contributorId":57301,"corporation":false,"usgs":false,"family":"Kozur","given":"H.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":839425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weems, Robert E. 0000-0002-1907-7804 rweems@usgs.gov","orcid":"https://orcid.org/0000-0002-1907-7804","contributorId":2663,"corporation":false,"usgs":true,"family":"Weems","given":"Robert","email":"rweems@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":839426,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70118905,"text":"70118905 - 2010 - A Natural Resource Condition Assessment for Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2018-02-21T16:14:53","indexId":"70118905","displayToPublicDate":"2010-01-01T09:27:12","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesNumber":"NPS/NRPC/WRD/NRR—2010/228","title":"A Natural Resource Condition Assessment for Rocky Mountain National Park","docAbstract":"We conducted a natural resource assessment of Rocky Mountain National Park (ROMO) to provide a synthesis of existing scientific data and knowledge to address the current conditions for a subset of important park natural resources. The intent is for this report to help provide park resource managers with data and information, particularly in the form of spatially-explicit maps and GIS databases, about those natural resources and to place emerging issues within a local, regional, national, or global context. With an advisory team, we identified the following condition indicators that would be useful to assess the condition of the park:
\nAir and Climate: Condition of alpine lakes and atmospheric deposition
\nWater: Extent and connectivity of wetland and riparian areas
\nBiotic Integrity: Extent of exotic terrestrial plant species, extent of fish distributions, and extent of suitable beaver habitat
\nLandscapes: Extent and pattern of major ecological systems and natural landscapes connectivity
\nThese indicators are summarized in the following pages. We also developed two maps of important issues for use by park managers: visitor use (thru accessibility modeling) and proportion of watersheds affected by beetle kill.
\nBased on our analysis, we believe that there is a high degree of concern for the following indicators: condition of alpine lakes; extent and connectivity of riparian/wetland areas; extent of exotic terrestrial plants (especially below 9,500’); extent of fish distributions; extent of suitable beaver habitat; and natural landscapes and connectivity. We found a low degree of concern for: the extent and pattern of major ecological systems.
\nThe indicators and issues were also summarized by the 34 watershed units (HUC12) within the park. Generally, we found six watersheds to be in “pristine” condition: Black Canyon Creek, Comanche Creek, Middle Saint Vrain Creek, South Fork of the Cache la Poudre, Buchanan Creek, and East Inlet. Four watersheds were found to have strong restoration opportunities: Big Thompson River West, Cache la Poudre South, Colorado River North, and Onahu Creek. Ten watersheds were found to have substantial near-term issues: Aspen Brook, Big Thompson River West, Black Canyon Creek, Cabin Creek, Cache la Poudre South, Fall River, Hague Creek, La Poudre Pass Creek, North Fork Big Thompson (East), and Colorado River North.
","language":"English","publisher":"National Park Service","publisherLocation":"Washington, D.C.","usgsCitation":"Theobald, D., Baron, J., Newman, P., Noon, B., Norman, J.B., Leinwand, I., Linn, S., Sherer, R., Williams, K., and Hartman, M., 2010, A Natural Resource Condition Assessment for Rocky Mountain National Park, 179 p.","productDescription":"179 p.","numberOfPages":"179","costCenters":[],"links":[{"id":291451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53db583fe4b0fba533fa355d","contributors":{"authors":[{"text":"Theobald, D.M.","contributorId":15157,"corporation":false,"usgs":true,"family":"Theobald","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":497386,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newman, P.","contributorId":94010,"corporation":false,"usgs":true,"family":"Newman","given":"P.","email":"","affiliations":[],"preferred":false,"id":497394,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noon, B.","contributorId":22701,"corporation":false,"usgs":true,"family":"Noon","given":"B.","email":"","affiliations":[],"preferred":false,"id":497388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Norman, J. B. 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At this writing, several microbial mechanisms for chlorinated ethene transformation and degradation have been identified. 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