{"pageNumber":"1929","pageRowStart":"48200","pageSize":"25","recordCount":184617,"records":[{"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":70236114,"text":"70236114 - 2010 - Geophysical setting of the blue mountain geothermal area, North-Central Nevada and its relationship to a crustal-scale fracture associated with the inception of the Yellowstone hotspot","interactions":[],"lastModifiedDate":"2022-08-29T16:10:59.050661","indexId":"70236114","displayToPublicDate":"2010-01-01T11:01:08","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geophysical setting of the blue mountain geothermal area, North-Central Nevada and its relationship to a crustal-scale fracture associated with the inception of the Yellowstone hotspot","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transactions - Geothermal Resources Council","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geothermal Resources Council 2010 Annual Meeting","conferenceDate":"October 24-27, 2010","conferenceLocation":"Sacramento, California, United States","language":"English","publisher":"Geothermal Research Council","usgsCitation":"Ponce, D.A., Glen, J.M., Watt, J., and Casteel, J., 2010, Geophysical setting of the blue mountain geothermal area, North-Central Nevada and its relationship to a crustal-scale fracture associated with the inception of the Yellowstone hotspot, <i>in</i> Transactions - Geothermal Resources Council, v. 34, Sacramento, California, United States, October 24-27, 2010, p. 881-886.","productDescription":"6 p.","startPage":"881","endPage":"886","costCenters":[],"links":[{"id":405800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":405799,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1028755"}],"country":"United States","state":"Nevada","otherGeospatial":"Blue Mountain Geothermal Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.19297790527344,\n              40.937896253014145\n            ],\n            [\n              -118.01513671875,\n              40.937896253014145\n            ],\n            [\n              -118.01513671875,\n              41.03585891144301\n            ],\n            [\n              -118.19297790527344,\n              41.03585891144301\n            ],\n            [\n              -118.19297790527344,\n              40.937896253014145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ponce, David A. 0000-0003-4785-7354 ponce@usgs.gov","orcid":"https://orcid.org/0000-0003-4785-7354","contributorId":1049,"corporation":false,"usgs":true,"family":"Ponce","given":"David","email":"ponce@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":850120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glen, Jonathan M.G. 0000-0002-3502-3355 jglen@usgs.gov","orcid":"https://orcid.org/0000-0002-3502-3355","contributorId":176530,"corporation":false,"usgs":true,"family":"Glen","given":"Jonathan","email":"jglen@usgs.gov","middleInitial":"M.G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watt, Janet 0000-0002-4759-3814 jwatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4759-3814","contributorId":146222,"corporation":false,"usgs":true,"family":"Watt","given":"Janet","email":"jwatt@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":850122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casteel, John","contributorId":55101,"corporation":false,"usgs":true,"family":"Casteel","given":"John","email":"","affiliations":[],"preferred":false,"id":850123,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":"<p>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 <i>Farfantepenaeus aztecus</i> 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 Ni&ntilde;o 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 Ni&ntilde;o events, and higher than average abundances of brown shrimp were caught in springs following La Ni&ntilde;a 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.</p>","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":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","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":70199594,"text":"70199594 - 2010 - A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah","interactions":[],"lastModifiedDate":"2018-11-29T10:42:31","indexId":"70199594","displayToPublicDate":"2010-01-01T10:59:08","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah","docAbstract":"<p><span>The Greater Natural Buttes tight natural gas field is an unconventional (continuous) accumulation in the Uinta Basin, Utah, that began production in the early 1950s from the Upper Cretaceous Mesaverde Group. Three years later, production was extended to the Eocene Wasatch Formation. With the exclusion of 1100 non-productive (“dry”) wells, we estimate that the final recovery from the 2500 producing wells existing in 2007 will be about 1.7 trillion standard cubic feet (TSCF) (48.2 billion cubic meters (BCM)). The use of estimated ultimate recovery (EUR) per well is common in assessments of unconventional resources, and it is one of the main sources of information to forecast undiscovered resources. Each calculated recovery value has an associated drainage area that generally varies from well to well and that can be mathematically subdivided into elemental subareas of constant size and shape called cells. Recovery per 5-acre cells at Greater Natural Buttes shows spatial correlation; hence, statistical approaches that ignore this correlation when inferring EUR values for untested cells do not take full advantage of all the information contained in the data. More critically, resulting models do not match the style of spatial EUR fluctuations observed in nature. This study takes a new approach by applying spatial statistics to model geographical variation of cell EUR taking into account spatial correlation and the influence of fractures. We applied sequential indicator simulation to model non-productive cells, while spatial mapping of cell EUR was obtained by applying sequential Gaussian simulation to provide multiple versions of reality (realizations) having equal chances of being the correct model. For each realization, summation of EUR in cells not drained by the existing wells allowed preparation of a stochastic prediction of undiscovered resources, which range between 2.6 and 3.4&nbsp;TSCF (73.6 and 96.3&nbsp;BCM) with a mean of 2.9&nbsp;TSCF (82.1&nbsp;BCM) for Greater Natural Buttes. A second approach illustrates the application of multiple-point simulation to assess a hypothetical frontier area for which there is no production information but which is regarded as being similar to Greater Natural Buttes.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11053-010-9127-8","usgsCitation":"Olea, R., Cook, T.A., and Coleman, J., 2010, A methodology for the assessment of unconventional (continuous) resources with an application to the Greater Natural Buttes gas field, Utah: Natural Resources Research, v. 19, no. 4, p. 237-251, https://doi.org/10.1007/s11053-010-9127-8.","productDescription":"15 p.","startPage":"237","endPage":"251","ipdsId":"IP-017861","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":357661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Greater Natural Buttes Gas Field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.08850097656249,\n              39.68182601089365\n            ],\n            [\n              -109.0447998046875,\n              39.68182601089365\n            ],\n            [\n              -109.0447998046875,\n              40.24179856487036\n            ],\n            [\n              -110.08850097656249,\n              40.24179856487036\n            ],\n            [\n              -110.08850097656249,\n              39.68182601089365\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"19","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-09-25","publicationStatus":"PW","scienceBaseUri":"5c0108d9e4b0815414cc2e0d","contributors":{"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":47873,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":false,"id":745927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, Troy A.","contributorId":52519,"corporation":false,"usgs":true,"family":"Cook","given":"Troy","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":746102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, James L.","contributorId":208106,"corporation":false,"usgs":false,"family":"Coleman","given":"James L.","affiliations":[{"id":37715,"text":"Ex-USGS, now retired","active":true,"usgs":false}],"preferred":false,"id":745926,"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":70236678,"text":"70236678 - 2010 - Executive summary","interactions":[],"lastModifiedDate":"2022-09-15T16:00:50.669647","indexId":"70236678","displayToPublicDate":"2010-01-01T10:51:33","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Executive summary","docAbstract":"<p>This book on Ecological Assessment of Selenium in the Aquatic Environment synthesizes and advances the state-of-the-science regarding this unique metalloid and identies critical knowledge gaps. Assessment methods appropriate for other metals and metalloids are not always appropriate for selenium (Se). Selenium requires site-specific risk assessments to a much greater extent than do many other contaminants, including adequate quality assurance and quality control of chemical and biological analyses.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological assessment of selenium in the aquatic environment","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Chapman, P.M., Adams, W.J., Brooks, M.L., Delos, C.G., Luoma, S.N., Maher, W.A., Ohlendorf, H.M., Presser, T.S., and Shaw, D.P., 2010, Executive summary, chap. <i>of</i> Ecological assessment of selenium in the aquatic environment, p. 5-6.","productDescription":"2 p.","startPage":"5","endPage":"6","costCenters":[],"links":[{"id":406764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":406763,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/mono/10.1201/EBK1439826775-8/executive-summary-peter-chapman-william-adams-marjorie-brooks-charles-delos-samuel-luoma-william-maher-harry-ohlendorf-theresa-presser-patrick-shaw?context=ubx&refId=7c2d5160-bfd8-4bf5-a456-2837f61b2270"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Peter M.","contributorId":296574,"corporation":false,"usgs":false,"family":"Chapman","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, William J.","contributorId":140638,"corporation":false,"usgs":false,"family":"Adams","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":13542,"text":"Rio Tinto, Lake Point, UT","active":true,"usgs":false}],"preferred":false,"id":851862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Marjorie L.","contributorId":30108,"corporation":false,"usgs":true,"family":"Brooks","given":"Marjorie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":851863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delos, Charles G.","contributorId":296575,"corporation":false,"usgs":false,"family":"Delos","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":851864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":851865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maher, William A.","contributorId":296576,"corporation":false,"usgs":false,"family":"Maher","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":851866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ohlendorf, Harry M.","contributorId":60291,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"Harry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":851868,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaw, D. Patrick","contributorId":296573,"corporation":false,"usgs":false,"family":"Shaw","given":"D.","email":"","middleInitial":"Patrick","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":851869,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70199021,"text":"70199021 - 2010 - Effects of current-use pesticides on amphibians","interactions":[],"lastModifiedDate":"2018-08-29T10:49:25","indexId":"70199021","displayToPublicDate":"2010-01-01T10:46:12","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Effects of current-use pesticides on amphibians","docAbstract":"<p><span>For many years, amphibians were understudied in the ecotoxicological literature. In 1989, the Canadian Wildlife Service published a comprehensive review of studies examining the effects of contaminants on amphibians (Power et al. 1989). Just 10 years later, the same organization published an updated review that included twice the number of studies (Pauli et al. 2000), indicating rapid growth in the field of amphibian ecotoxicology. However, Sparling et al. (2000) point out that the number of amphibian ecotoxicological studies remains modest relative to research utilizing other taxa. Relyea and Hoverman (2006) also report that amphibian data appear to be lagging behind other taxa, despite an increasing number of ecotoxicological studies involving freshwater ecosystems in general.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecotoxicology of amphibians and reptiles","language":"English","publisher":"Taylor & Francis","usgsCitation":"Lehman, C., and Williams, B.K., 2010, Effects of current-use pesticides on amphibians, chap. 6 <i>of</i> Ecotoxicology of amphibians and reptiles, p. 167-202.","productDescription":"36 p. ","startPage":"167","endPage":"202","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":356912,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356911,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.taylorfrancis.com/books/e/9781420064179/chapters/10.1201%2FEBK1420064162-13"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b7dfe4b0702d0e844f63","contributors":{"editors":[{"text":"Sparling, Donald","contributorId":20650,"corporation":false,"usgs":true,"family":"Sparling","given":"Donald","affiliations":[],"preferred":false,"id":743805,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Linder, Greg L. linder2@usgs.gov","contributorId":1766,"corporation":false,"usgs":true,"family":"Linder","given":"Greg","email":"linder2@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":743806,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Bishop, Christine A.","contributorId":10749,"corporation":false,"usgs":true,"family":"Bishop","given":"Christine A.","affiliations":[],"preferred":false,"id":743807,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Krest, Sherry K.","contributorId":113670,"corporation":false,"usgs":true,"family":"Krest","given":"Sherry","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":743808,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Lehman, C.","contributorId":75342,"corporation":false,"usgs":true,"family":"Lehman","given":"C.","email":"","affiliations":[],"preferred":false,"id":743803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, B K","contributorId":140651,"corporation":false,"usgs":false,"family":"Williams","given":"B","email":"","middleInitial":"K","affiliations":[{"id":12801,"text":"The Wildlife Society","active":true,"usgs":false}],"preferred":false,"id":743804,"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":"<p>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&middot;day<sup>-1</sup> for an otter with a body mass of 7842 g. Total biomass consumption ranged from 35 079 to 52 653 g&middot;month<sup>-1</sup> (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.</p>","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":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","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":"<p>The Least Bittern (<i>Ixobrychus exilis</i>) and the Pied-billed Grebe (<i>Podilymbus podiceps</i>) 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 (&psi;) were estimated for each species separately for each year. Candidate models including sampling and habitat covariates were compared using AIC(<sub>c</sub>) to determine what variables had the greatest influence on ῥ and &psi;. Average ῥ for Least Bitterns was 0.29 in 2006 and 0.18 in 2007, and varied throughout the 2007 survey season. Average &psi; for Pied-billed Grebes was 0.44 in 2006 and 0.22 in 2007, and an observer effect was found in 2007. Overall &psi; 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 &psi; 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.</p>","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":70249655,"text":"70249655 - 2010 - Pathology and virus detection in tissues of nestling house sparrows naturally infected with Buggy Creek virus (Togaviridae).","interactions":[],"lastModifiedDate":"2023-10-23T15:48:25.723552","indexId":"70249655","displayToPublicDate":"2010-01-01T10:42:41","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Pathology and virus detection in tissues of nestling house sparrows naturally infected with Buggy Creek virus (Togaviridae).","docAbstract":"<p><span>Alphaviruses (</span><i>Togaviridae</i><span>) infect wild birds, but clinical illness and death attributable to virus in naturally infected birds is rarely reported, particularly for small passerine species or nestlings.&nbsp;</span><i>Buggy Creek virus</i><span>&nbsp;is a unique alphavirus in the&nbsp;</span><i>Western equine encephalomyelitis virus</i><span>&nbsp;(WEEV) complex that is vectored by the cimicid swallow bug (</span><i>Oeciacus vicarius</i><span>), an ectoparasite of the colonially nesting Cliff Swallow (</span><i>Petrochelidon pyrrhonota</i><span>) and the introduced House Sparrow (</span><i>Passer domesticus</i><span>). While sampling birds for Buggy Creek virus (BCRV) during the summers of 2007 and 2008, we discovered large numbers of clinically ill or dead House Sparrow nestlings. Ill nestlings exhibited ataxia, torticollis, paresis, and lethargy. Histologic examination revealed that encephalitis was the most common finding, followed by myositis, myocarditis, and hepatic changes, but pathology was highly variable. We isolated BCRV from brain tissue in most of the ill or dead nestlings, and from blood, liver, kidney, spleen, lung, feather pulp, and skin in some birds. To our knowledge, this is the first report of clinical illness, gross pathology, and histopathology for a WEEV-complex alphavirus in a field-collected passerine species.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/0090-3558-46.1.23","usgsCitation":"O’Brien, V.A., Meteyer, C.U., Ip, S., Long, R.R., and Brown, C., 2010, Pathology and virus detection in tissues of nestling house sparrows naturally infected with Buggy Creek virus (Togaviridae).: Journal of Wildlife Diseases, v. 46, no. 1, p. 23-32, https://doi.org/10.7589/0090-3558-46.1.23.","productDescription":"10 p.","startPage":"23","endPage":"32","ipdsId":"IP-014105","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":475766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/0090-3558-46.1.23","text":"Publisher Index Page"},{"id":422041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Brien, Valerie A.","contributorId":331059,"corporation":false,"usgs":false,"family":"O’Brien","given":"Valerie","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":886615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meteyer, Carol U. 0000-0002-4007-3410 cmeteyer@usgs.gov","orcid":"https://orcid.org/0000-0002-4007-3410","contributorId":127748,"corporation":false,"usgs":true,"family":"Meteyer","given":"Carol","email":"cmeteyer@usgs.gov","middleInitial":"U.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":886613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":886612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Renee Romaine rlong@usgs.gov","contributorId":3826,"corporation":false,"usgs":true,"family":"Long","given":"Renee","email":"rlong@usgs.gov","middleInitial":"Romaine","affiliations":[],"preferred":true,"id":886614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Charles R.","contributorId":331061,"corporation":false,"usgs":false,"family":"Brown","given":"Charles R.","affiliations":[],"preferred":false,"id":886616,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"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":"<p>No abstract available.</p>","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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,{"id":70236677,"text":"70236677 - 2010 - Ecological assessment of selenium in the aquatic environment","interactions":[],"lastModifiedDate":"2022-09-15T15:50:04.434161","indexId":"70236677","displayToPublicDate":"2010-01-01T10:37:30","publicationYear":"2010","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Ecological assessment of selenium in the aquatic environment","docAbstract":"<p>Based on the work and contributions of 46 scientists, managers, and policymakers, Ecological Assessment of Selenium in the Aquatic Environment documents the state of the science and explores how to use this information when assessing and managing the environmental effects of Se. A focused discussion on the fate and effects of Se in aquatic ecosystem.</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1201/EBK1439826775","usgsCitation":"2010, Ecological assessment of selenium in the aquatic environment, 368 p., https://doi.org/10.1201/EBK1439826775.","productDescription":"368 p.","costCenters":[],"links":[{"id":475767,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2429/24654","text":"External Repository"},{"id":406762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2010-05-06","publicationStatus":"PW","contributors":{"editors":[{"text":"Chapman, Peter M.","contributorId":296574,"corporation":false,"usgs":false,"family":"Chapman","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851852,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Adams, William J.","contributorId":140638,"corporation":false,"usgs":false,"family":"Adams","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":13542,"text":"Rio Tinto, Lake Point, UT","active":true,"usgs":false}],"preferred":false,"id":851853,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brooks, Marjorie L.","contributorId":30108,"corporation":false,"usgs":true,"family":"Brooks","given":"Marjorie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":851854,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Delos, Charles G.","contributorId":296575,"corporation":false,"usgs":false,"family":"Delos","given":"Charles","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":851855,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":851856,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Maher, William A.","contributorId":296576,"corporation":false,"usgs":false,"family":"Maher","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":851857,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Ohlendorf, Harry M.","contributorId":60291,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"Harry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":851858,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":851859,"contributorType":{"id":2,"text":"Editors"},"rank":8},{"text":"Shaw, D. Patrick","contributorId":296573,"corporation":false,"usgs":false,"family":"Shaw","given":"D.","email":"","middleInitial":"Patrick","affiliations":[{"id":48188,"text":"Environment Canada","active":true,"usgs":false}],"preferred":false,"id":851860,"contributorType":{"id":2,"text":"Editors"},"rank":9}]}}
,{"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":"<p><span>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.</span></p>","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 <i>of</i> 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":70265782,"text":"70265782 - 2010 - Relative gas volume ratios for free gas and gas hydrate accumulations","interactions":[],"lastModifiedDate":"2025-04-15T15:39:07.635091","indexId":"70265782","displayToPublicDate":"2010-01-01T10:36:07","publicationYear":"2010","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":11603,"text":"Fire in the Ice","active":true,"publicationSubtype":{"id":30}},"title":"Relative gas volume ratios for free gas and gas hydrate accumulations","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Department of Energy","usgsCitation":"Boswell, R., Collett, T., Anderson, B., and Ruppel, C., 2010, Relative gas volume ratios for free gas and gas hydrate accumulations: Fire in the Ice, v. 10, no. 2, p. 9-11.","productDescription":"3 p.","startPage":"9","endPage":"11","ipdsId":"IP-022791","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":484594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484593,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://netl.doe.gov/sites/default/files/netl-file/MHNews_2010_08.pdf","linkFileType":{"id":1,"text":"pdf"}}],"volume":"10","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Boswell, Ray","contributorId":242633,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":933522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy S","contributorId":353416,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy S","affiliations":[],"preferred":true,"id":933521,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Brian","contributorId":240097,"corporation":false,"usgs":false,"family":"Anderson","given":"Brian","affiliations":[{"id":48085,"text":"United States Department of Energy","active":true,"usgs":false}],"preferred":false,"id":933523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruppel, Carolyn 0000-0003-2284-6632","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":353415,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","affiliations":[],"preferred":true,"id":933520,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70120460,"text":"70120460 - 2010 - Beak deformities in Northwestern Crows: Evidence of a multispecies epizootic","interactions":[],"lastModifiedDate":"2018-08-21T15:08:13","indexId":"70120460","displayToPublicDate":"2010-01-01T10:36:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3544,"text":"The Auk","onlineIssn":"1938-4254","printIssn":"0004-8038","active":true,"publicationSubtype":{"id":10}},"title":"Beak deformities in Northwestern Crows: Evidence of a multispecies epizootic","docAbstract":"<p>Beak abnormalities are rare among adult birds and, typically, are not widespread in a given population, within a region, or across multiple species. A high concentration of beak deformities was recently documented in Black-capped Chickadees (<i>Poecile atricapillus</i>) and other resident avian species in Alaska. We describe a parallel condition in Northwestern Crows (<i>Corvus caurinus</i>) that signals the emergence of a multispecies epizootic. On the basis of 186 Northwestern Crows captured at six sites in Alaska during 2007 and 2008, we estimated the prevalence of beak deformities in adults to be 16.9 ± 5.3%, the highest rate of gross deformities ever recorded in a wild bird population. Prevalence varied among sites and was as high as 36% on the Kenai Peninsula, which suggests possible epizootic clusters. We also documented beak abnormalities in an additional 148 Northwestern Crows in south-central and southeastern Alaska and in 64 crows near Vancouver, British Columbia, and Puget Sound, Washington, a region where both Northwestern Crows and American Crows (<i>C. brachyrhynchos</i>) occur. The increase in frequency and distribution of crows observed with abnormal beaks throughout the Pacific Northwest since the late 1990s indicates a geographic expansion of this problem. Affected crows exhibited elongated and often crossed beaks that were morphologically similar to deformities documented in Black-capped Chickadees and other species in Alaska over approximately the same period. Additional research is needed to determine the etiology and potential adverse effects on bird populations affected by this disorder.</p>","language":"English","publisher":"American Ornithological Society","doi":"10.1525/auk.2010.10132","usgsCitation":"Van Hemert, C.R., and Handel, C.M., 2010, Beak deformities in Northwestern Crows: Evidence of a multispecies epizootic: The Auk, v. 127, no. 4, p. 746-751, https://doi.org/10.1525/auk.2010.10132.","productDescription":"6 p.","startPage":"746","endPage":"751","ipdsId":"IP-019472","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475768,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/auk.2010.10132","text":"Publisher Index Page"},{"id":292268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, British Columbia, Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -156.27,45.68 ], [ -156.27,63.04 ], [ -120.41,63.04 ], [ -120.41,45.68 ], [ -156.27,45.68 ] ] ] } } ] }","volume":"127","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ef1ec3e4b0bfa1f993eee9","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":498263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":498262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70073504,"text":"70073504 - 2010 - Iceberg calving during transition from grounded to floating ice: Columbia Glacier, Alaska","interactions":[],"lastModifiedDate":"2018-07-07T18:02:07","indexId":"70073504","displayToPublicDate":"2010-01-01T10:33:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Iceberg calving during transition from grounded to floating ice: Columbia Glacier, Alaska","docAbstract":"The terminus of Columbia Glacier, Alaska, unexpectedly became ungrounded in 2007 during its prolonged retreat. Visual observations showed that calving changed from a steady release of low-volume bergs, to episodic flow-perpendicular rifting, propagation, and release of very large icebergs - a style reminiscent of calving from ice shelves. Here, we compare passive seismic and photographic observations through this transition to examine changes in calving. Mechanical changes accompany the visible changes in calving style post flotation: generation of seismic energy during calving is substantially reduced. We propose this is partly due to changes in source processes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1029/2010GL043201","usgsCitation":"Walter, F., O’Neel, S., McNamara, D., Pfeffer, W., Bassis, J.N., and Fricker, H.A., 2010, Iceberg calving during transition from grounded to floating ice: Columbia Glacier, Alaska: Geophysical Research Letters, v. 37, no. 15, 5 p., https://doi.org/10.1029/2010GL043201.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-019315","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":475769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010gl043201","text":"Publisher Index Page"},{"id":281283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281282,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010GL043201"}],"country":"United States","state":"Alaska","otherGeospatial":"Columbia Glacier","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -150.0077,59.7651 ], [ -150.0077,61.519 ], [ -143.6931,61.519 ], [ -143.6931,59.7651 ], [ -150.0077,59.7651 ] ] ] } } ] }","volume":"37","issue":"15","noUsgsAuthors":false,"publicationDate":"2010-08-07","publicationStatus":"PW","scienceBaseUri":"53cd61e7e4b0b290850fdd3e","contributors":{"authors":[{"text":"Walter, Fabian","contributorId":21431,"corporation":false,"usgs":true,"family":"Walter","given":"Fabian","email":"","affiliations":[],"preferred":false,"id":488842,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":488844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNamara, Daniel","contributorId":103566,"corporation":false,"usgs":true,"family":"McNamara","given":"Daniel","affiliations":[],"preferred":false,"id":488846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pfeffer, W.T.","contributorId":14632,"corporation":false,"usgs":true,"family":"Pfeffer","given":"W.T.","email":"","affiliations":[],"preferred":false,"id":488841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bassis, Jeremy N.","contributorId":49271,"corporation":false,"usgs":true,"family":"Bassis","given":"Jeremy","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":488843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fricker, Helen Amanda","contributorId":79799,"corporation":false,"usgs":true,"family":"Fricker","given":"Helen","email":"","middleInitial":"Amanda","affiliations":[],"preferred":false,"id":488845,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"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":"<p>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:</p>\n<br>\n<b><p>1. Is there a different among agricultural and managfed wetland types in terms of Me Hg dynamic (production, degradation, bioaccumulation, or export)?</p>\n<p>2. Does water residence time influence MeHg dynamics?</p>\n<p>3. Does the application of sulfate-based fertilizer impact MeHg production rates?</p>\n<p>4. Does the presence (or absence) of vegetation influence MeHg production rates?</p></b>\n<br>\n<p>Measurements 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.</p>\n<br>\n<p>Although 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.</p>\n<br>\n<p>MeHg 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.</p>\n<br>\n<p>During 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<sup>-1</sup> in source waters to up to 10 ng L<sup>-1</sup> 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 (<sup>18</sup>O/<sup>16</sup>O, expressed as δ<sup>18</sup>O) 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.</p>\n<br>\n<p>Mercury 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.</p>\n<br>\n<p>Despite 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.</p>\n<br>\n<p>Local 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).</p>\n<br>\n<p>The 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):</p>\n<br>\n<p>a) Quantification and evaluation of THg and MeHg sources,</p>\n<p>b) Quantification of effects of ecosystem restoration on MeHg exposure,</p>\n<p>c) Assessment of ecological risk, and</p>\n<p>d) Identification and testing of potential management approaches for reducing MeHg contamination.</p>\n<br>\n<p>In 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 <i>Sacramento -- San Joaquin Delta Estuary TMDL for Methyl & Total Mercury</i> (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.</p>\n<br>\n<p>In 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.</p>","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":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","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":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":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":70118921,"text":"70118921 - 2010 - Forecasting weed distributions using climate data: a GIS early warning tool","interactions":[],"lastModifiedDate":"2014-07-31T10:36:21","indexId":"70118921","displayToPublicDate":"2010-01-01T10:28:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting weed distributions using climate data: a GIS early warning tool","docAbstract":"The number of invasive exotic plant species establishing in the United States is continuing to rise. When prevention \nof exotic species from entering into a country fails at the national level and the species establishes, reproduces, \nspreads, and becomes invasive, the most successful action at a local level is early detection followed eradication. \nWe have developed a simple geographic information system (GIS) analysis for developing watch lists for early \ndetection of invasive exotic plants that relies upon currently available species distribution data coupled with \nenvironmental data to aid in describing coarse-scale potential distributions. This GIS analysis tool develops \nenvironmental envelopes for species based upon the known distribution of a species thought to be invasive and \nrepresents the first approximation of its potential habitat while the necessary data are collected to perform more in­-depth analyses. To validate this method we looked at a time series of species distributions for 66 species in Pacific \nNorthwest, and northern Rocky Mountain counties. The time series analysis presented here did select counties that \nthe invasive exotic weeds invaded in subsequent years, showing that this technique could be useful in developing \nwatch lists for the spread of particular exotic species. We applied this same habitat-matching model based upon \nbioclimaric envelopes to 100 invasive exotics with various levels of known distributions within continental U.S. \ncounties. For species with climatically limited distributions, county watch lists describe county-specific vulnerability \nto invasion. Species with matching habitats in a county would be added to that county's list. These watch lists can \ninfluence management decisions for early warning, control prioritization, and targeted research to determine specific \nlocations within vulnerable counties. This tool provides useful information for rapid assessment of the potential  \ndistribution based upon climate envelopes of current distributions for new invasive exotic species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Invasive Plant Science and Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Weed Science Society of America","publisherLocation":"Lawrence, KS","doi":"10.1614/IPSM-08-073.1","usgsCitation":"Jarnevich, C.S., Holcombe, T.R., Barnett, D., Stohlgren, T.J., and Kartesz, J.T., 2010, Forecasting weed distributions using climate data: a GIS early warning tool: Invasive Plant Science and Management, v. 3, no. 4, p. 365-375, https://doi.org/10.1614/IPSM-08-073.1.","productDescription":"11 p.","startPage":"365","endPage":"375","numberOfPages":"11","costCenters":[],"links":[{"id":475770,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.bioone.org/doi/10.1614/IPSM-08-073.1","text":"External Repository"},{"id":291475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":291474,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1614/IPSM-08-073.1"}],"volume":"3","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"53db5843e4b0fba533fa357e","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holcombe, Tracy R. holcombet@usgs.gov","contributorId":3694,"corporation":false,"usgs":true,"family":"Holcombe","given":"Tracy","email":"holcombet@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnett, David T.","contributorId":86234,"corporation":false,"usgs":true,"family":"Barnett","given":"David T.","affiliations":[],"preferred":false,"id":497494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stohlgren, Thomas J. 0000-0001-9696-4450 stohlgrent@usgs.gov","orcid":"https://orcid.org/0000-0001-9696-4450","contributorId":2902,"corporation":false,"usgs":true,"family":"Stohlgren","given":"Thomas","email":"stohlgrent@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":497490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kartesz, John T.","contributorId":54128,"corporation":false,"usgs":true,"family":"Kartesz","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":497493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70236314,"text":"70236314 - 2010 - Stress, fracture, and fluid-flow analysis using acoustic and electrical image logs in hot fractured granites of the Coso geothermal field, California, U.S.A.","interactions":[],"lastModifiedDate":"2022-09-01T15:42:10.432902","indexId":"70236314","displayToPublicDate":"2010-01-01T10:21:50","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Stress, fracture, and fluid-flow analysis using acoustic and electrical image logs in hot fractured granites of the Coso geothermal field, California, U.S.A.","docAbstract":"<p>Acoustic and electrical image logs in fractured granitic rocks penetrated by U.S. Navy well 58A-10, Coso Wash, in the eastern margin of the Coso geothermal field, California, were compared to evaluate their relative ability to characterize fractures and fault rock textures and to measure stress orientations from borehole failure. Electrical image logs are sensitive to variations in mineralogy or porosity, which affect conductivity. Thus, they capture both open and healed natural fractures as well as rock foliation.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dipmeter and borehole image log technology","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/13181288M923134","usgsCitation":"Davatzes, N.C., and Hickman, S.H., 2010, Stress, fracture, and fluid-flow analysis using acoustic and electrical image logs in hot fractured granites of the Coso geothermal field, California, U.S.A., chap. <i>of</i> Dipmeter and borehole image log technology, v. 92, p. 259-293, https://doi.org/10.1306/13181288M923134.","productDescription":"35 p.","startPage":"259","endPage":"293","costCenters":[],"links":[{"id":406068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso geothermal field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.01925659179688,\n              35.88682489453265\n            ],\n            [\n              -117.75215148925781,\n              35.88682489453265\n            ],\n            [\n              -117.75215148925781,\n              36.121236902880185\n            ],\n            [\n              -118.01925659179688,\n              36.121236902880185\n            ],\n            [\n              -118.01925659179688,\n              35.88682489453265\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Poppelreiter, M.","contributorId":296083,"corporation":false,"usgs":false,"family":"Poppelreiter","given":"M.","email":"","affiliations":[],"preferred":false,"id":850580,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Garcia-Carballido, C.","contributorId":296084,"corporation":false,"usgs":false,"family":"Garcia-Carballido","given":"C.","email":"","affiliations":[],"preferred":false,"id":850581,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Kraaijveld, M.","contributorId":296085,"corporation":false,"usgs":false,"family":"Kraaijveld","given":"M.","email":"","affiliations":[],"preferred":false,"id":850582,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Davatzes, Nicholas C.","contributorId":138855,"corporation":false,"usgs":false,"family":"Davatzes","given":"Nicholas","email":"","middleInitial":"C.","affiliations":[{"id":12547,"text":"Temple University","active":true,"usgs":false}],"preferred":false,"id":850578,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickman, Stephen H. 0000-0003-2075-9615 hickman@usgs.gov","orcid":"https://orcid.org/0000-0003-2075-9615","contributorId":2705,"corporation":false,"usgs":true,"family":"Hickman","given":"Stephen","email":"hickman@usgs.gov","middleInitial":"H.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":850579,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":"<p><span>The purpose of this chapter is to provide a summary of issues and findings related to&nbsp;</span><span>the potential effects of coalbed natural gas (CBNG) development on fish and other&nbsp;</span><span>aquatic resources. We reviewed CBNG issues from across the United States and used the&nbsp;</span><span>Powder River Basin of Wyoming as a case study to exemplify some pertinent issues. The&nbsp;</span><span>quality of water produced during CBNG extraction is quite variable. High total dissolved&nbsp;</span><span>solids in many CBNG produced waters are of concern relative to fish and other aquatic&nbsp;</span><span>organisms. Untreated CBNG produced water has the potential to be toxic to fish and&nbsp;</span><span>aquatic organisms. Of particular concern at some locations in the Powder River basin are&nbsp;</span><span>elevated concentrations of sodium bicarbonate which have been shown to be toxic to&nbsp;</span><span>some species of larval fish and aquatic invertebrates. The areas affected by direct toxicity&nbsp;</span><span>were limited to headwaters and small tributaries studied in the basin. The potential&nbsp;</span><span>effects of organic compounds used during well drilling and CBNG production on water</span><br><span>quality, fish, and aquatic organisms are not well defined. Water produced from CBNG&nbsp;</span><span>wells that is low in salts or has been treated to remove salts may be discharged into&nbsp;</span><span>ephemeral or perennially-flowing streams. Higher flows in small streams can enhance&nbsp;</span><span>erosion and affect habitat for fish and aquatic organisms. In Great Plains rivers, such as&nbsp;</span><span>the Powder River, fish and aquatic invertebrate communities are structured by extreme&nbsp;</span><span>environmental conditions. Direct discharge of CBNG produced water during periods of&nbsp;</span><span>very low or no surface flow may cause shifts in the aquatic community structure.&nbsp;</span><span>Additional effects of CBNG development on fish and aquatic organisms may stem from&nbsp;</span><span>road building and pipeline construction, roads crossing streams and ephemeral water courses, the possible spread of invasive organisms, potential spills of toxic substances,&nbsp;</span><span>and increased harvest of sport fish.&nbsp;</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Coalbed natural gas: Energy and environment","language":"English","publisher":"Nova Science","publisherLocation":"New York","usgsCitation":"Farag, A.M., Harper, D., Hubert, W., and Hubert, A., 2010, Potential effects of coal bed natural gas development on fish and aquatic resources, chap. 11 <i>of</i> Coalbed natural gas: Energy and environment, p. 227-242.","productDescription":"16 p.","startPage":"227","endPage":"242","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":356908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":356907,"rank":1,"type":{"id":1,"text":"Abstract"},"url":"https://www.novapublishers.com/catalog/product_info.php?products_id=14405"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b7e0e4b0702d0e844f67","contributors":{"authors":[{"text":"Farag, Aida M. 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":1139,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":743777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harper, D.D.","contributorId":82526,"corporation":false,"usgs":true,"family":"Harper","given":"D.D.","email":"","affiliations":[],"preferred":false,"id":743778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubert, W.A.","contributorId":12822,"corporation":false,"usgs":true,"family":"Hubert","given":"W.A.","email":"","affiliations":[],"preferred":false,"id":743779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hubert, A.E.","contributorId":107677,"corporation":false,"usgs":true,"family":"Hubert","given":"A.E.","email":"","affiliations":[],"preferred":false,"id":743780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70199104,"text":"70199104 - 2010 - What you need to know about selenium","interactions":[],"lastModifiedDate":"2018-09-04T10:27:44","indexId":"70199104","displayToPublicDate":"2010-01-01T10:17:02","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"What you need to know about selenium","docAbstract":"<p>No abstract available.&nbsp;</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecological assessment of selenium in the aquatic environment","language":"English","publisher":"SETAC Press","publisherLocation":"Pensacola, Florida","isbn":"9781439826775","usgsCitation":"Young, T., Finley, K., Adams, W.J., Besser, J.M., Hopkins, W.A., Jolley, D., Martin-McNaughton, J., Presser, T.S., Shaw, D., and Unrine, J.M., 2010, What you need to know about selenium, chap. 3 <i>of</i> Ecological assessment of selenium in the aquatic environment, p. 7-45.","productDescription":"39 p.","startPage":"7","endPage":"45","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":357041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b98b7e0e4b0702d0e844f69","contributors":{"editors":[{"text":"Chapman, P. M.","contributorId":176688,"corporation":false,"usgs":false,"family":"Chapman","given":"P.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744104,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Adams, William J.","contributorId":140638,"corporation":false,"usgs":false,"family":"Adams","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":13542,"text":"Rio Tinto, Lake Point, UT","active":true,"usgs":false}],"preferred":false,"id":744105,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brooks, M.","contributorId":61364,"corporation":false,"usgs":true,"family":"Brooks","given":"M.","affiliations":[],"preferred":false,"id":744106,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Luoma, S. N.","contributorId":120222,"corporation":false,"usgs":true,"family":"Luoma","given":"S.","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":744107,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":744108,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Ohlendorf, H. M.","contributorId":28194,"corporation":false,"usgs":true,"family":"Ohlendorf","given":"H.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744109,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Shaw, P.","contributorId":103475,"corporation":false,"usgs":true,"family":"Shaw","given":"P.","email":"","affiliations":[],"preferred":false,"id":744110,"contributorType":{"id":2,"text":"Editors"},"rank":7}],"authors":[{"text":"Young, T.","contributorId":88148,"corporation":false,"usgs":true,"family":"Young","given":"T.","email":"","affiliations":[],"preferred":false,"id":744094,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finley, K.","contributorId":207534,"corporation":false,"usgs":false,"family":"Finley","given":"K.","email":"","affiliations":[],"preferred":false,"id":744095,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, William J.","contributorId":140638,"corporation":false,"usgs":false,"family":"Adams","given":"William","email":"","middleInitial":"J.","affiliations":[{"id":13542,"text":"Rio Tinto, Lake Point, UT","active":true,"usgs":false}],"preferred":false,"id":744096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":744097,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, W. A.","contributorId":175441,"corporation":false,"usgs":false,"family":"Hopkins","given":"W.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":744098,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jolley, D.B.","contributorId":60862,"corporation":false,"usgs":true,"family":"Jolley","given":"D.B.","email":"","affiliations":[],"preferred":false,"id":744099,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Martin-McNaughton, J.","contributorId":34790,"corporation":false,"usgs":true,"family":"Martin-McNaughton","given":"J.","email":"","affiliations":[],"preferred":false,"id":744100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Presser, Theresa S. 0000-0001-5643-0147 tpresser@usgs.gov","orcid":"https://orcid.org/0000-0001-5643-0147","contributorId":2467,"corporation":false,"usgs":true,"family":"Presser","given":"Theresa","email":"tpresser@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":744101,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaw, D.P.","contributorId":207536,"corporation":false,"usgs":false,"family":"Shaw","given":"D.P.","email":"","affiliations":[],"preferred":false,"id":744102,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Unrine, J. M.","contributorId":60887,"corporation":false,"usgs":true,"family":"Unrine","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":744103,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70048816,"text":"70048816 - 2010 - A digital underwater video camera system for aquatic research in regulated rivers","interactions":[],"lastModifiedDate":"2013-11-07T10:20:20","indexId":"70048816","displayToPublicDate":"2010-01-01T10:16:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A digital underwater video camera system for aquatic research in regulated rivers","docAbstract":"We designed a digital underwater video camera system to monitor nesting centrarchid behavior in the Tallapoosa River, Alabama, 20 km below a peaking hydropower dam with a highly variable flow regime. Major components of the system included a digital video recorder, multiple underwater cameras, and specially fabricated substrate stakes. The innovative design of the substrate stakes allowed us to effectively observe nesting redbreast sunfish Lepomis auritus in a highly regulated river. Substrate stakes, which were constructed for the specific substratum complex (i.e., sand, gravel, and cobble) identified at our study site, were able to withstand a discharge level of approximately 300 m<sup>3</sup>/s and allowed us to simultaneously record 10 active nests before and during water releases from the dam. We believe our technique will be valuable for other researchers that work in regulated rivers to quantify behavior of aquatic fauna in response to a discharge disturbance.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"North American Journal of Fisheries Management","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1577/M09-201.1","usgsCitation":"Martin, B.M., and Irwin, E.R., 2010, A digital underwater video camera system for aquatic research in regulated rivers: North American Journal of Fisheries Management, v. 30, no. 6, p. 1365-1369, https://doi.org/10.1577/M09-201.1.","productDescription":"5 p.","startPage":"1365","endPage":"1369","numberOfPages":"5","ipdsId":"IP-017706","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":278907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278906,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1577/M09-201.1"}],"country":"United States","state":"Alabama","otherGeospatial":"Tallapoosa River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -85.610383,33.552137 ], [ -85.610383,33.886864 ], [ -85.078936,33.886864 ], [ -85.078936,33.552137 ], [ -85.610383,33.552137 ] ] ] } } ] }","volume":"30","issue":"6","noUsgsAuthors":false,"publicationDate":"2010-12-01","publicationStatus":"PW","scienceBaseUri":"527cc46fe4b0850ea050cdba","contributors":{"authors":[{"text":"Martin, Benjamin M.","contributorId":17524,"corporation":false,"usgs":true,"family":"Martin","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irwin, Elise R. 0000-0002-6866-4976 eirwin@usgs.gov","orcid":"https://orcid.org/0000-0002-6866-4976","contributorId":2588,"corporation":false,"usgs":true,"family":"Irwin","given":"Elise","email":"eirwin@usgs.gov","middleInitial":"R.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":485699,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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