{"pageNumber":"1898","pageRowStart":"47425","pageSize":"25","recordCount":184982,"records":[{"id":70156654,"text":"70156654 - 2010 - Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina","interactions":[],"lastModifiedDate":"2022-11-08T18:23:44.265691","indexId":"70156654","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina","docAbstract":"<p><span>McBee is a small town of about 700 people located in Chesterfield County, South Carolina, in the Sandhills region of the upper Coastal Plain. The halogenated organic compounds ethylene dibromide (EDB) and dibromochloropropane (DBCP) have been detected in several public and domestic supply and irrigation wells since 2002 at concentrations above their U.S. Environmental Protection Agency Maximum Contaminant Limits of 0.05 and 0.2 microgram per liter (&micro;g/L), respectively. The source(s) and release histories of EDB and DBCP to local groundwater are unknown, but believed to be related to their historical use between the 1940s and their ban in the late 1970s as fumigants to control nematode damage in peach orchards. However, gasoline and jet-fuel supplies also contained EDB and are an alternative source of contamination to groundwater. The detection of EDB and DBCP in water wells has raised health concerns because groundwater is the sole source of water supply in the McBee area. In April 2010, forensic, geochemical-based investigation was initiated by the U.S. Geological Survey in cooperation with the Alligator Rural Water &amp; Sewer Company to provide additional data regarding EDB and DBCP in local groundwater. The investigation includes an assessment of the use, release, and disposal history of EDB and DBCP in the area, the distribution of EDB and DBCP concentrations in the unsaturated zone, and transport and fate in groundwater.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14 2010","conferenceLocation":"Columbia, South Carolina","language":"English","publisher":"Clemson University Center for Watershed Excellence","publisherLocation":"Columbia, South Carolina, United States","usgsCitation":"Landmeyer, J., and Campbell, B.G., 2010, Contamination of groundwater by the fumigants ethylene dibromide (EDB) and dibromochloropropane (DBCP) near McBee, South Carolina, <i>in</i> Proceedings of the 2010 South Carolina Water Resources Conference, Columbia, South Carolina, October 13-14 2010, 4 p.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307435,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://tigerprints.clemson.edu/scwrc/2010/"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.62014098727916,\n              34.72249719517039\n            ],\n            [\n              -80.62014098727916,\n              34.2708532830015\n            ],\n            [\n              -79.87445490367524,\n              34.2708532830015\n            ],\n            [\n              -79.87445490367524,\n              34.72249719517039\n            ],\n            [\n              -80.62014098727916,\n              34.72249719517039\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55dd91afe4b0518e354dd145","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":569814,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043115,"text":"70043115 - 2010 - Using Landsat satellite data to support pesticide exposure assessment in California","interactions":[],"lastModifiedDate":"2013-05-28T11:33:18","indexId":"70043115","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2050,"text":"International Journal of Health Geographics","active":true,"publicationSubtype":{"id":10}},"title":"Using Landsat satellite data to support pesticide exposure assessment in California","docAbstract":"Background\nThe recent U.S. Geological Survey policy offering Landsat satellite data at no cost provides researchers new opportunities to explore relationships between environment and health. The purpose of this study was to examine the potential for using Landsat satellite data to support pesticide exposure assessment in California.\n\nMethods and Results\nWe collected a dense time series of 24 Landsat 5 and 7 images spanning the year 2000 for an agricultural region in Fresno County. We intersected the Landsat time series with the California Department of Water Resources (CDWR) land use map and selected field samples to define the phenological characteristics of 17 major crop types or crop groups. We found the frequent overpass of Landsat enabled detection of crop field conditions (e.g., bare soil, vegetated) over most of the year. However, images were limited during the winter months due to cloud cover. Many samples designated as single-cropped in the CDWR map had phenological patterns that represented multi-cropped or non-cropped fields, indicating they may have been misclassified.\n\nConclusions\nWe found the combination of Landsat 5 and 7 image data would clearly benefit pesticide exposure assessment in this region by 1) providing information on crop field conditions at or near the time when pesticides are applied, and 2) providing information for validating the CDWR map. The Landsat image time-series was useful for identifying idle, single-, and multi-cropped fields. Landsat data will be limited during the winter months due to cloud cover, and for years prior to the Landsat 7 launch (1999) when only one satellite was operational at any given time. We suggest additional research to determine the feasibility of integrating CDWR land use maps and Landsat data to derive crop maps in locations and time periods where maps are not available, which will allow for substantial improvements to chemical exposure estimation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Health Geographics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1186/1476-072X-9-46","usgsCitation":"Maxwell, S.K., Airola, M., and Nuckols, J.R., 2010, Using Landsat satellite data to support pesticide exposure assessment in California: International Journal of Health Geographics, v. 9, no. 46, 14 p., https://doi.org/10.1186/1476-072X-9-46.","productDescription":"14 p.","ipdsId":"IP-015841","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":475653,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1476-072x-9-46","text":"Publisher Index Page"},{"id":272887,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":267002,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1476-072X-9-46"}],"country":"United States","state":"California","county":"Fresno","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120.92,35.91 ], [ -120.92,37.58 ], [ -118.36,37.58 ], [ -118.36,35.91 ], [ -120.92,35.91 ] ] ] } } ] }","volume":"9","issue":"46","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51a5d1f0e4b0605bc571f029","contributors":{"authors":[{"text":"Maxwell, Susan K.","contributorId":90198,"corporation":false,"usgs":true,"family":"Maxwell","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":472986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Airola, Matthew","contributorId":51630,"corporation":false,"usgs":true,"family":"Airola","given":"Matthew","affiliations":[],"preferred":false,"id":472984,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nuckols, John R.","contributorId":87037,"corporation":false,"usgs":true,"family":"Nuckols","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":472985,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70156472,"text":"70156472 - 2010 - Importance of record length with respect to estimating the 1-percent chance flood","interactions":[],"lastModifiedDate":"2015-10-29T12:21:59","indexId":"70156472","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Importance of record length with respect to estimating the 1-percent chance flood","docAbstract":"<p>U.S. Geological Survey (USGS) streamflow gages have been established in every State in the Nation, Puerto Rico, and the Trust Territory of the Pacific Islands. From these st reamflow records, estimates of the magnitude and frequency of floods are often developed and used to design transportation and water- conveyance structures to protect lives and property, and to determine flood-insurance rates. Probably the most recognizable flood statistic computed from USGS stream gaging records is the 1- percent (%) chance flood; better known has the 100-year flood. By definition, this is a flood that has a 1% chance of occurring in any given year. The 1% chance flood is a statistical estimate that can be significantly influenced by length of record and extreme flood events captured in that record. Consequently, it is typically recommended that flood statistics be updated on some regular interval such as every 10 years. This paper examines the influence of record length on the 1% chance flood for the Broad River in Georgia and the substantial difference that can occur in the estimate based on record length and the hydrologic conditions under which that record was collected.&nbsp;</p>","largerWorkTitle":"2010 South Carolina Water Resources Conference","conferenceTitle":"Proceedings of the 2010 South Carolina Water Resources Conference","conferenceDate":"October 13-14, 2010","conferenceLocation":"Columbia, SC","language":"English","publisher":"South Carolina Water Science Center","usgsCitation":"Feaster, T., 2010, Importance of record length with respect to estimating the 1-percent chance flood, <i>in</i> 2010 South Carolina Water Resources Conference, Columbia, SC, October 13-14, 2010, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":307174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5633433de4b048076347eecd","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011 tfeaster@usgs.gov","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":1109,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby D.","email":"tfeaster@usgs.gov","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":569268,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70157549,"text":"70157549 - 2010 - Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites","interactions":[],"lastModifiedDate":"2017-04-25T16:33:06","indexId":"70157549","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites","docAbstract":"<p><span>Test sites are central to any future quality assurance and quality control (QA/QC) strategy. The Committee on Earth Observation Satellites (CEOS) Working Group for Calibration and Validation (WGCV) Infrared Visible Optical Sensors (IVOS) worked with collaborators around the world to establish a core set of CEOS-endorsed, globally distributed, reference standard test sites (both instrumented and pseudo-invariant) for the post-launch calibration of space-based optical imaging sensors. The pseudo-invariant calibration sites (PICS) have high reflectance and are usually made up of sand dunes with low aerosol loading and practically no vegetation. The goal of this paper is to provide preliminary assessment of \"several parameters\" than can be used on an operational basis to compare and measure usefulness of reference sites all over the world. The data from Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) and the Earth Observing-1 (EO-1) Hyperion sensors over the CEOS PICS were used to perform a preliminary assessment of several parameters, such as usable area, data availability, top-of-atmosphere (TOA) reflectance, at-sensor brightness temperature, spatial uniformity, temporal stability, spectral stability, and typical spectrum observed over the sites.</span></p>","largerWorkType":{"id":24,"text":"Conference Paper"},"largerWorkTitle":"SPIE Proceedings Volume 7826","conferenceTitle":"Sensors, Systems, and Next-Generation Satellites XIV","conferenceDate":"September 20, 2010","conferenceLocation":"Toulouse, France","language":"English","publisher":"SPIE","doi":"10.1117/12.865166","usgsCitation":"Chander, G., Angal, A., Xiong, X., Helder, D.L., Mishra, N., Choi, T., and Wu, A., 2010, Preliminary assessment of several parameters to measure and compare usefulness of the CEOS reference pseudo-invariant calibration sites, <i>in</i> SPIE Proceedings Volume 7826, v. 7826, Toulouse, France, September 20, 2010, 12 p., https://doi.org/10.1117/12.865166.","productDescription":"12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025073","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":308619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7826","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56067036e4b058f706e51947","contributors":{"authors":[{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":573566,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angal, Amit","contributorId":67394,"corporation":false,"usgs":true,"family":"Angal","given":"Amit","email":"","affiliations":[],"preferred":false,"id":573567,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xiong, Xiaoxiong","contributorId":15088,"corporation":false,"usgs":true,"family":"Xiong","given":"Xiaoxiong","email":"","affiliations":[],"preferred":false,"id":573568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helder, Dennis L.","contributorId":105613,"corporation":false,"usgs":true,"family":"Helder","given":"Dennis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":573569,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mishra, Nischal nischal.mishra.ctr@usgs.gov","contributorId":148000,"corporation":false,"usgs":false,"family":"Mishra","given":"Nischal","email":"nischal.mishra.ctr@usgs.gov","affiliations":[],"preferred":false,"id":573570,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Choi, Taeyoung","contributorId":146955,"corporation":false,"usgs":false,"family":"Choi","given":"Taeyoung","email":"","affiliations":[],"preferred":false,"id":573571,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wu, Aisheng","contributorId":65362,"corporation":false,"usgs":true,"family":"Wu","given":"Aisheng","email":"","affiliations":[],"preferred":false,"id":573572,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":98807,"text":"pp1780 - 2010 - Mercury in Indiana watersheds: Retrospective for 2001–2006","interactions":[],"lastModifiedDate":"2022-02-22T20:50:54.103232","indexId":"pp1780","displayToPublicDate":"2010-10-13T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1780","title":"Mercury in Indiana watersheds: Retrospective for 2001–2006","docAbstract":"<p>Information about total mercury and methylmercury concentrations in water samples and mercury concentrations in fish-tissue samples was summarized for 26 watersheds in Indiana that drain most of the land area of the State. Mercury levels were interpreted with information on streamflow, atmospheric mercury deposition, mercury emissions to the atmosphere, mercury in wastewater, and landscape characteristics.</p><p>Unfiltered total mercury concentrations in 411 water samples from streams in the 26 watersheds had a median of 2.32 nanograms per liter (ng/L) and a maximum of 28.2 ng/L. When these concentrations were compared to Indiana water-quality criteria for mercury, 5.4 percent exceeded the 12-ng/L chronic-aquatic criterion, 59 percent exceeded the 1.8-ng/L Great Lakes human-health criterion, and 72.5 percent exceeded the 1.3-ng/L Great Lakes wildlife criterion. Mercury concentrations in water were related to streamflow, and the highest mercury concentrations were associated with the highest streamflows. On average, 67 percent of total mercury in streams was in a particulate form, and particulate mercury concentrations were significantly lower downstream from dams than at monitoring stations not affected by dams.</p><p>Methylmercury is the organic fraction of total mercury and is the form of mercury that accumulates and magnifies in food chains. It is made from inorganic mercury by natural processes under specific conditions. Unfiltered methylmercury concentrations in 411 water samples had a median of 0.10 ng/L and a maximum of 0.66 ng/L. Methylmercury was a median 3.7 percent and maximum 64.8 percent of the total mercury in 252 samples for which methylmercury was reported. The percentages of methylmercury in water samples were significantly higher downstream from dams than at other monitoring stations. Nearly all of the total mercury detected in fish tissue was assumed to be methylmercury.</p><p>Fish-tissue samples from the 26 watersheds had wet-weight mercury concentrations that exceeded the 0.3 milligram per kilogram (mg/kg) U.S. Environmental Protection Agency (USEPA) methylmercury criterion in 12.4 percent of the 1,731 samples. The median wet-weight concentration in the fish-tissue samples was 0.13 mg/kg, and the maximum was 1.07 mg/kg. A coarse-scale analysis of all fish-tissue data in each watershed and a fine-scale analysis of data within 5 kilometers (km) of the downstream end of each watershed showed similar results overall. Mercury concentrations in fish-tissue samples were highest in the White River watershed in southern Indiana and the Fall Creek watershed in central Indiana. In fish-tissue samples within 5 km of the downstream end of a watershed, the USEPA methylmercury criterion was exceeded by 45 percent of mercury concentrations from the White River watershed and 40 percent of the mercury concentration from the Fall Creek watershed. A clear relation between mercury concentrations in fish-tissue samples and methylmercury concentrations in water was not observed in the data from watersheds in Indiana.</p><p>Average annual atmospheric mercury wet-deposition rates were mapped with data at 156 locations in Indiana and four surrounding states for 2001–2006. These maps revealed an area in southeastern Indiana with high mercury wet-deposition rates—from 15 to 19 micrograms per square meter per year (µg/m<sup>2</sup>/yr). Annual atmospheric mercury dry-deposition rates were estimated with an inferential method by using concentrations of mercury species in air samples at three locations in Indiana. Mercury dry deposition-rates were 5.6 to 13.6 µg/m<sup>2</sup>/yr and were 0.49 to 1.4 times mercury wet-deposition rates.</p><p>Total mercury concentrations were detected in 96 percent of 402 samples of wastewater effluent from 50 publicly owned treatment works in the watersheds; the median concentration was 3.0 ng/L, and the maximum was 88 ng/L. When these concentrations were compared to Indiana water-quality criteria for mercury, 12 percent exceeded the 12-ng/L chronic-aquatic criterion, 68 percent exceeded the 1.8-ng/L Great Lakes human-health criterion, and 81 percent exceeded the 1.3-ng/L Great Lakes wildlife criterion.</p><p>Annual stream mercury yields were calculated with a model by using the mercury concentrations in water samples and daily average streamflows for 2002–2006, normalized to the watershed drainage areas. The average annual total mercury stream yields ranged from 0.73 to 45.2 µg/m<sup>2</sup>/yr and were highest in two White River watersheds in central Indiana. Median methylmercury stream yield was 1.9 percent of the median total mercury stream yield.</p><p>In most watersheds, average annual stream yields of total mercury were a fraction of the combined average annual atmospheric mercury wet-deposition and estimated annual dry-deposition loading rates, indicating that much of the stream mercury was attributable to atmospheric deposition. In two watersheds, average annual stream yields of total mercury were approximately twice the atmospheric mercury loading, indicating that some of the stream mercury apparently was not attributable to atmospheric deposition. Rather, some of the stream mercury yield potentially was contributed by mercury in wastewater discharges.</p><p>Land-cover type corresponded with the mercury levels in three watersheds: (1) A watershed of the White River in central Indiana with a high percentage of urban land cover had some of the highest total mercury concentrations and stream mercury yields. The urban land cover and numerous permitted wastewater outfalls with mercury in treated effluent potentially contributed mercury to this watershed. (2) A monitoring station on the Maumee River in northeastern Indiana, downstream from a large area of urban land cover, recorded the highest stream mercury concentrations. The urban land cover and mercury detected in treated effluent potentially contributed to the high mercury concentrations at this station. (3) A watershed of the Patoka River in southern Indiana with a high percentage of forest land cover had the highest atmospheric mercury dry-deposition rate. The high dry-deposition rate from the forest land cover potentially contributed to the high mercury concentrations in this watershed.</p><p>From a retrospective view, mercury concentrations in Indiana watersheds routinely exceeded criteria protective of humans and commonly exceeded criteria protective of wildlife. Atmospheric mercury wet deposition was a predominant factor, but not the single factor, affecting mercury in Indiana watersheds. Mercury in wastewater discharges and atmospheric mercury dry deposition apparently contributed a substantial part of the mercury yield from some watersheds. Dams and impoundments increased the percentage of methylmercury in downstream waters. Long-term monitoring of mercury in wet and dry atmospheric deposition, and in streams and reservoirs, coordinated with monitoring of mercury in fish, will be needed to detect whether mercury levels in Indiana watersheds change in the future.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/pp1780","collaboration":"Prepared in cooperation with the Indiana Department of Environmental Management","usgsCitation":"Risch, M.R., Baker, N.T., Fowler, K.K., Egler, A.L., and Lampe, D.C., 2010, Mercury in Indiana watersheds: Retrospective for 2001–2006: U.S. Geological Survey Professional Paper 1780, x, 66 p., https://doi.org/10.3133/pp1780.","productDescription":"x, 66 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":396278,"rank":2,"type":{"id":36,"text":"NGMDB Index 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,{"id":70156809,"text":"70156809 - 2010 - Geochemistry of Eagle Ford group source rocks and oils from the first shot field area, Texas","interactions":[],"lastModifiedDate":"2022-11-08T17:40:02.622717","indexId":"70156809","displayToPublicDate":"2010-10-12T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemistry of Eagle Ford group source rocks and oils from the first shot field area, Texas","docAbstract":"<p><span>Total organic carbon, Rock-Eval pyrolysis, and vitrinite reflectance analyses performed on Eagle Ford Group core and cuttings samples from the First Shot field area, Texas demonstrate these samples have sufficient quantity, quality, and maturity of organic matter to have generated oil. Furthermore, gas chromatography and biomarker analyses performed on Eagle Ford Group oils and source rock extracts as well as weight percent sulfur analyses on the oils indicate the source rock facies for most of the oils are fairly similar. Specifically, these source rock facies vary in lithology from shales to marls, contain elevated levels of sulfur, and were deposited in a marine environment under anoxic conditions. It is these First Shot Eagle Ford source facies that have generated the oils in the First Shot Field. However, in contrast to the generally similar source rock facies and organic matter, maturity varies from early oil window to late oil window in the study area, and these maturity variations have a pronounced effect on both the source rock and oil characteristics. 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,{"id":70007479,"text":"70007479 - 2010 - Extrapolating growth reductions in fish to changes in population extinction risks: Copper and Chinook salmon.","interactions":[],"lastModifiedDate":"2021-02-04T20:58:30.320058","indexId":"70007479","displayToPublicDate":"2010-10-11T14:50:16","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1913,"text":"Human and Ecological Risk Assessment","active":true,"publicationSubtype":{"id":10}},"title":"Extrapolating growth reductions in fish to changes in population extinction risks: Copper and Chinook salmon.","docAbstract":"<p><span>Fish commonly respond to stress, including stress from chemical exposures, with reduced growth. However, the relevance to wild populations of subtle and sometimes transitory growth reductions may not be obvious. At low-level, sustained exposures, Cu is one substance that commonly causes reduced growth but little mortality in laboratory toxicity tests with fish. To explore the relevance of growth reductions under laboratory conditions to wild populations, we (1) estimated growth effects of low-level Cu exposures to juvenile Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>), (2) related growth effects to reduced survival in downriver Chinook salmon migrations, (3) estimated population demographics, (4) constructed a demographically structured matrix population model, and (5) projected the influence of Cu-reduced growth on population size, extinction risks, and recovery chances. Reduced juvenile growth from Cu in the range of chronic criteria concentrations was projected to cause disproportionate reductions in survival of migrating juveniles, with a 7.5% length reduction predicting about a 23% to 52% reduction in survival from a headwaters trap to the next census point located 640 km downstream. Projecting reduced juvenile growth out through six generations (∼30 years) resulted in little increased extinction risk; however, population recovery times were delayed under scenarios where Cu-reduced growth was imposed.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10807039.2010.512243","usgsCitation":"Mebane, C.A., and Arthaud, D.L., 2010, Extrapolating growth reductions in fish to changes in population extinction risks: Copper and Chinook salmon.: Human and Ecological Risk Assessment, v. 16, no. 5, p. 1026-1065, https://doi.org/10.1080/10807039.2010.512243.","productDescription":"39 p.","startPage":"1026","endPage":"1065","numberOfPages":"39","ipdsId":"IP-007058","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":383032,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Middle Fork of the Salmon River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.4171142578125,\n              45.13361760070825\n            ],\n            [\n              -114.686279296875,\n              45.33090957287155\n            ],\n            [\n              -115.17242431640624,\n              45.10260769705975\n            ],\n            [\n              -115.62286376953124,\n              44.48866833139464\n            ],\n            [\n              -115.66680908203125,\n              44.306161215277854\n            ],\n            [\n              -115.37017822265625,\n              44.19795903948531\n            ],\n            [\n              -114.99938964843749,\n              44.406316252661355\n            ],\n            [\n              -114.62585449218749,\n              44.820812031724444\n            ],\n            [\n              -114.4171142578125,\n              45.13361760070825\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":809847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arthaud, David L.","contributorId":115849,"corporation":false,"usgs":false,"family":"Arthaud","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":513804,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70174133,"text":"70174133 - 2010 - The effects of land cover and land use change on the contemporary carbon balance of the arctic and boreal terrestrial ecosystems of northern Eurasia","interactions":[],"lastModifiedDate":"2016-12-15T12:08:22","indexId":"70174133","displayToPublicDate":"2010-10-11T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The effects of land cover and land use change on the contemporary carbon balance of the arctic and boreal terrestrial ecosystems of northern Eurasia","docAbstract":"<p><span>Recent changes in climate, disturbance regimes and land use and management systems in Northern Eurasia have the potential to disrupt the terrestrial sink of atmospheric CO</span><sub>2</sub><span> in a way that accelerates global climate change. To determine the recent trends in the carbon balance of the arctic and boreal ecosystems of this region, we performed a retrospective analysis of terrestrial carbon dynamics across northern Eurasia over a recent 10-year period using a terrestrial biogeochemical process model. The results of the simulations suggest a shift in direction of the net flux from the terrestrial sink of earlier decades to a net source on the order of 45 Tg C year</span><sup>−1</sup><span>between 1997 and 2006. The simulation framework and subsequent analyses presented in this study attribute this shift to a large loss of carbon from boreal forest ecosystems, which experienced a trend of decreasing precipitation and a large area burned during this time period.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Eurasian Arctic land cover and land use in a changing climate","language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-90-481-9118-5_6","usgsCitation":"Hayes, D.J., McGuire, A.D., Kicklighter, D.W., Burnside, T.J., and Melillo, J.M., 2010, The effects of land cover and land use change on the contemporary carbon balance of the arctic and boreal terrestrial ecosystems of northern Eurasia, chap. <i>of</i> Eurasian Arctic land cover and land use in a changing climate, p. 109-136, https://doi.org/10.1007/978-90-481-9118-5_6.","productDescription":"28 p. ","startPage":"109","endPage":"136","ipdsId":"IP-019577","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":332155,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-11","publicationStatus":"PW","scienceBaseUri":"5853ba47e4b0e2663625f2d6","contributors":{"authors":[{"text":"Hayes, Daniel J.","contributorId":100237,"corporation":false,"usgs":true,"family":"Hayes","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":640976,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kicklighter, David W.","contributorId":48872,"corporation":false,"usgs":false,"family":"Kicklighter","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":655982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burnside, Todd J.","contributorId":177500,"corporation":false,"usgs":false,"family":"Burnside","given":"Todd","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":655983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melillo, Jerry M.","contributorId":87847,"corporation":false,"usgs":false,"family":"Melillo","given":"Jerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70208553,"text":"70208553 - 2010 - Modeling to evaluate the response of savanna-derived cropland to warming–drying stress and nitrogen fertilizers","interactions":[],"lastModifiedDate":"2020-02-20T10:04:32","indexId":"70208553","displayToPublicDate":"2010-10-10T14:35:54","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Modeling to evaluate the response of savanna-derived cropland to warming–drying stress and nitrogen fertilizers","docAbstract":"<p><span>Many savannas in West Africa have been converted to croplands and are among the world’s regions most vulnerable to climate change due to deteriorating soil quality. We focused on the savanna-derived cropland in northern Ghana to simulate its sensitivity to projected climate change and nitrogen fertilization scenarios. Here we show that progressive warming–drying stress over the twenty-first century will enhance soil carbon emissions from all kinds of lands of which the natural ecosystems will be more vulnerable to variation in climate variables, particularly in annual precipitation. The carbon emissions from all croplands, however, could be mitigated by applying nitrogen fertilizer at 30–60&nbsp;kg N ha</span><sup> − 1</sup><span>&nbsp;year</span><sup> − 1</sup><span>. The uncertainties of soil organic carbon budgets and crop yields depend mainly on the nitrogen fertilization rate during the first 40&nbsp;years and then are dominated by climate drying stress. The replenishment of soil nutrients, especially of nitrogen through fertilization, could be one of the priority options for policy makers and farm managers as they evaluate mitigation and adaptation strategies of cropping systems and management practices to sustain agriculture and ensure food security under a changing climate.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10584-009-9688-x","usgsCitation":"Tan, Z., Tieszen, L.L., Liu, S., and Tachie-Obeng, E., 2010, Modeling to evaluate the response of savanna-derived cropland to warming–drying stress and nitrogen fertilizers: Climatic Change, v. 100, no. 3-4, p. 702-715, https://doi.org/10.1007/s10584-009-9688-x.","productDescription":"13 p.","startPage":"702","endPage":"715","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":372366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ghana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -2.8784179687499996,\n              8.928487062665504\n            ],\n            [\n              0.32958984375,\n              8.928487062665504\n            ],\n            [\n              0.32958984375,\n              10.919617760254697\n            ],\n            [\n              -2.8784179687499996,\n              10.919617760254697\n            ],\n            [\n              -2.8784179687499996,\n              8.928487062665504\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"100","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2009-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tan, Zhengxi 0000-0002-4136-0921 ztan@usgs.gov","orcid":"https://orcid.org/0000-0002-4136-0921","contributorId":2945,"corporation":false,"usgs":true,"family":"Tan","given":"Zhengxi","email":"ztan@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tieszen, Larry L. tieszen@usgs.gov","contributorId":2831,"corporation":false,"usgs":true,"family":"Tieszen","given":"Larry","email":"tieszen@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":782448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Shuguang 0000-0002-6027-3479 sliu@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3479","contributorId":147403,"corporation":false,"usgs":true,"family":"Liu","given":"Shuguang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":782449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tachie-Obeng, E.","contributorId":82550,"corporation":false,"usgs":true,"family":"Tachie-Obeng","given":"E.","email":"","affiliations":[],"preferred":false,"id":782450,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173758,"text":"70173758 - 2010 - Modeling the impacts of hunting on the population dynamics of red howler monkeys (<i>Alouatta seniculus</i>)","interactions":[],"lastModifiedDate":"2016-06-08T15:54:11","indexId":"70173758","displayToPublicDate":"2010-10-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the impacts of hunting on the population dynamics of red howler monkeys (<i>Alouatta seniculus</i>)","docAbstract":"<p>Overexploitation of wildlife populations occurs across the humid tropics and is a significant threat to the long-term survival of large-bodied primates. To investigate the impacts of hunting on primates and ways to mitigate them, we developed a spatially explicit, individual-based model for a landscape that included hunted and un-hunted areas. We used the large-bodied neotropical red howler monkey (<i>Alouatta seniculus</i>) as our case study species because its life history characteristics make it vulnerable to hunting. We modeled the influence of different rates of harvest and proportions of landscape dedicated to un-hunted reserves on population persistence, population size, social dynamics, and hunting yields of red howler monkeys. In most scenarios, the un-hunted populations maintained a constant density regardless of hunting pressure elsewhere, and allowed the overall population to persist. Therefore, the overall population was quite resilient to extinction; only in scenarios without any un-hunted areas did the population go extinct. However, the total and hunted populations did experience large declines over 100 years under moderate and high hunting pressure. In addition, when reserve area decreased, population losses and losses per unit area increased disproportionately. Furthermore, hunting disrupted the social structure of troops. The number of male turnovers and infanticides increased in hunted populations, while birth rates decreased and exacerbated population losses due to hunting. Finally, our results indicated that when more than 55% of the landscape was harvested at high (30%) rates, hunting yields, as measured by kilograms of biomass, were less than those obtained from moderate harvest rates. Additionally, hunting yields, expressed as the number of individuals hunted/year/km<sup>2</sup>, increased in proximity to un-hunted areas, and suggested that dispersal from un-hunted areas may have contributed to hunting sustainability. These results indicate that un-hunted areas serve to enhance hunting yields, population size, and population persistence in hunted landscapes. Therefore, spatial regulation of hunting via a reserve system may be an effective management strategy for sustainable hunting, and we recommend it because it may also be more feasible to implement than harvest quotas or restrictions on season length.</p>","language":"English","publisher":"Elsevier Science Pub. Co.","doi":"10.1016/j.ecolmodel.2010.06.026","usgsCitation":"Wiederholt, R., Fernandez-Duque, E., Diefenbach, D.R., and Rudran, R., 2010, Modeling the impacts of hunting on the population dynamics of red howler monkeys (<i>Alouatta seniculus</i>): Ecological Modelling, v. 221, no. 10, p. 2482-2490, https://doi.org/10.1016/j.ecolmodel.2010.06.026.","productDescription":"9 p.","startPage":"2482","endPage":"2490","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-021572","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Venezuela","state":"Guárico","otherGeospatial":"Hato Masaguaral","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.5,\n              8.5\n            ],\n            [\n              -67.5,\n              8.6\n            ],\n            [\n              -67.6,\n              8.6\n            ],\n            [\n              -67.6,\n              8.5\n            ],\n            [\n              -67.5,\n              8.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"221","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57594213e4b04f417c2568fd","contributors":{"authors":[{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":638114,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fernandez-Duque, Eduardo","contributorId":171620,"corporation":false,"usgs":false,"family":"Fernandez-Duque","given":"Eduardo","email":"","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":638115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rudran, Rasanayagam","contributorId":112332,"corporation":false,"usgs":true,"family":"Rudran","given":"Rasanayagam","email":"","affiliations":[],"preferred":false,"id":638116,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70160861,"text":"70160861 - 2010 - Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments","interactions":[],"lastModifiedDate":"2018-04-03T16:45:04","indexId":"70160861","displayToPublicDate":"2010-10-09T14:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments","docAbstract":"<p><span>Daily streamflow time series are critical to a very broad range of hydrologic problems. Whereas daily streamflow time series are readily obtained from gaged catchments, streamflow information is commonly needed at catchments for which no measured streamflow information exists. At ungaged catchments, methods to estimate daily streamflow time series typically require the use of a reference streamgage, which transfers properties of the streamflow time series at a reference streamgage to the ungaged catchment. Therefore, the selection of a reference streamgage is one of the central challenges associated with estimation of daily streamflow at ungaged basins. The reference streamgage is typically selected by choosing the nearest streamgage; however, this paper shows that selection of the nearest streamgage does not provide a consistent selection criterion. We introduce a new method, termed the map‐correlation method, which selects the reference streamgage whose daily streamflows are most correlated with an ungaged catchment. When applied to the estimation of daily streamflow at 28 streamgages across southern New England, daily streamflows estimated by a reference streamgage selected using the map‐correlation method generally provides improved estimates of daily streamflow time series over streamflows estimated by the selection and use of the nearest streamgage. The map correlation method could have potential for many other applications including identifying redundancy and uniqueness in a streamgage network, calibration of rainfall runoff models at ungaged sites, as well as for use in catchment classification.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR008481","usgsCitation":"Archfield, S.A., and Vogel, R.M., 2010, Map correlation method: Selection of a reference streamgage to estimate daily streamflow at ungaged catchments: Water Resources Research, v. 46, no. 10, Article W10513; 15 p., https://doi.org/10.1029/2009WR008481.","productDescription":"Article W10513; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-010477","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":475654,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008481","text":"Publisher Index 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M.","contributorId":66811,"corporation":false,"usgs":true,"family":"Vogel","given":"Richard","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":584132,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70173483,"text":"70173483 - 2010 - Factors influencing wood mobilization in Minnesota streams","interactions":[],"lastModifiedDate":"2018-02-06T09:37:52","indexId":"70173483","displayToPublicDate":"2010-10-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Factors influencing wood mobilization in Minnesota streams","docAbstract":"<p><span>Natural pieces of wood provide a variety of ecosystem functions in streams including habitat, organic matter retention, increased hyporheic exchange and transient storage, and enhanced hydraulic and geomorphic heterogeneity. Wood mobilization is a critical process in determining the residence time of wood. We documented the characteristics and locations of 865 natural wood pieces (&gt;0.05 m in diameter for a portion &gt;1 m in length) in nine streams along the north shore of Lake Superior in Minnesota. We determined the locations of the pieces again after an overbank stormflow event to determine the factors that influenced mobilization of stationary wood pieces in natural streams. Seven of 11 potential predictor variables were identified with multiple logistic regression as significant to mobilization: burial, effective depth, ratio of piece length to effective stream width (length ratio), bracing, rootwad presence, downstream force ratio, and draft ratio. The final model (</span><i>P</i><span>&lt; 0.001,&nbsp;</span><i>r</i><span>2</span><span>&nbsp;= 0.39) indicated that wood mobilization under natural conditions is a complex function of both mechanical factors (burial, length ratio, bracing, rootwad presence, draft ratio) and hydraulic factors (effective depth, downstream force ratio). If stable pieces are a goal for stream management then features such as partial burial, low effective depth, high length relative to channel width, bracing against other objects (e.g., stream banks, trees, rocks, or larger wood pieces), and rootwads are desirable. Using the model equation from this study, stewards of natural resources can better manage in-stream wood for the benefit of stream ecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2009WR008772","usgsCitation":"Merten, E., Finlay, J., Johnson, L., Newman, R., Stefan, H., and Vondracek, B.C., 2010, Factors influencing wood mobilization in Minnesota streams: Water Resources Research, v. 46, no. 10, Article W10514; 13 p., https://doi.org/10.1029/2009WR008772.","productDescription":"Article W10514; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016563","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":475655,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr008772","text":"Publisher Index Page"},{"id":324159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-09","publicationStatus":"PW","scienceBaseUri":"576a653ae4b07657d1a11d9d","contributors":{"authors":[{"text":"Merten, Eric","contributorId":172045,"corporation":false,"usgs":false,"family":"Merten","given":"Eric","affiliations":[],"preferred":false,"id":640141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finlay, Jacques","contributorId":172286,"corporation":false,"usgs":false,"family":"Finlay","given":"Jacques","affiliations":[],"preferred":false,"id":640142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Lucinda","contributorId":172287,"corporation":false,"usgs":false,"family":"Johnson","given":"Lucinda","affiliations":[],"preferred":false,"id":640143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Newman, Raymond","contributorId":172288,"corporation":false,"usgs":false,"family":"Newman","given":"Raymond","affiliations":[],"preferred":false,"id":640144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stefan, Heinz","contributorId":172289,"corporation":false,"usgs":false,"family":"Stefan","given":"Heinz","email":"","affiliations":[],"preferred":false,"id":640145,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vondracek, Bruce C. bcv@usgs.gov","contributorId":904,"corporation":false,"usgs":true,"family":"Vondracek","given":"Bruce","email":"bcv@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637185,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":98804,"text":"ofr20101103 - 2010 - Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008","interactions":[],"lastModifiedDate":"2016-12-08T14:02:52","indexId":"ofr20101103","displayToPublicDate":"2010-10-09T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1103","title":"Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008","docAbstract":"The U.S. Geological Survey, in cooperation with the Marine Corps Base, Camp Lejeune, monitored water-resources conditions in the surficial, Castle Hayne, Peedee, and Black Creek aquifers in Onslow County, North Carolina, from November 2007 through September 2008. To comply with North Carolina Central Coastal Plain Capacity Use Area regulations, large-volume water suppliers in Onslow County must reduce their dependency on the Black Creek aquifer as a water-supply source and have, instead, proposed using the Castle Hayne aquifer as an alternative water-supply source. The Marine Corps Base, Camp Lejeune, uses water obtained from the unregulated surficial and Castle Hayne aquifers for drinking-water supply. \r\n\r\nWater-level data were collected and field measurements of physical properties were made at 19 wells at 8 locations spanning the Marine Corps Base, Camp Lejeune. These wells were instrumented with near real-time monitoring equipment to collect hourly measurements of water level. Additionally, specific conductance and water temperature were measured hourly in 16 of the 19 wells. Graphs are presented relating altitude of groundwater level to water temperature and specific conductance measurements collected during the study, and the relative vertical gradients between aquifers are discussed. The period-of-record normal (25th to 75th percentile) monthly mean groundwater levels at two well clusters were compared to median monthly mean groundwater levels at these same well clusters for 2008 to determine groundwater-resources conditions. In 2008, water levels were below normal in the 3 wells at one of the well clusters and were normal in 4 wells at the other cluster.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101103","collaboration":"Prepared in cooperation with the Department of the Navy, U.S. Marine Corps","usgsCitation":"McSwain, K., 2010, Groundwater level and specific conductance monitoring at Marine Corps Base, Camp Lejeune, Onslow County, North Carolina, 2007-2008: U.S. Geological Survey Open-File Report 2010-1103, iv, 17 p.; Appendices, https://doi.org/10.3133/ofr20101103.","productDescription":"iv, 17 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2008-12-31","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":126782,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1103.jpg"},{"id":14216,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1103/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"North Carolina","county":"Onslow County","otherGeospatial":" Marine Corps Base, Camp Lejeune","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -77.66666666666667,34 ], [ -77.66666666666667,35 ], [ -77,35 ], [ -77,34 ], [ -77.66666666666667,34 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a94e4b07f02db659401","contributors":{"authors":[{"text":"McSwain, Kristen Bukowski","contributorId":104458,"corporation":false,"usgs":true,"family":"McSwain","given":"Kristen Bukowski","affiliations":[],"preferred":false,"id":306559,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":98803,"text":"ofr20101252 - 2010 - Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California:  May 1995–February 2010","interactions":[],"lastModifiedDate":"2021-10-06T18:39:45.38189","indexId":"ofr20101252","displayToPublicDate":"2010-10-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1252","displayTitle":"Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam <i>Corbula amurensis</i> from northern San Francisco Bay, California:  May 1995–February 2010","title":"Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California:  May 1995–February 2010","docAbstract":"<p><span>The clam-based food webs of San Francisco Bay, California efficiently bioaccumlate selenium and thus provide pathways for exposure to predators important to the estuary. This study documents changes in monthly selenium concentrations for the clam&nbsp;</span><i>Corbula amurensis</i><span>, a keystone species of the estuary, at five locations in northern San Francisco Bay from 1995 through 2010. Samples were collected from designated U.S. Geological Survey stations and prepared and analyzed by U.S. Geological Survey methods. Stable isotopes of carbon and nitrogen in soft tissues of clams also were measured as an indicator of sources of selenium for the clams. These monitoring data indicate that clam selenium concentrations ranged from a low of 2 to a high of 22 micrograms per gram dry weight with strong spatial and seasonal variation over the period of study.</span></p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101252","usgsCitation":"Kleckner, A.E., Stewart, A., Elrick, K.A., and Luoma, S.N., 2010, Selenium concentrations and stable isotopic compositions of carbon and nitrogen in the benthic clam Corbula amurensis from northern San Francisco Bay, California:  May 1995–February 2010: U.S. Geological Survey Open-File Report 2010-1252, iv, 6 p., https://doi.org/10.3133/ofr20101252.","productDescription":"iv, 6 p.","additionalOnlineFiles":"N","temporalStart":"1995-05-01","temporalEnd":"2010-02-28","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":203378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14215,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1252/","linkFileType":{"id":5,"text":"html"}},{"id":374459,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2010/1252/pdf/ofr20101252.pdf"},{"id":390279,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94377.htm"}],"country":"United States","state":"California","otherGeospatial":"Northern San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.5,37 ], [ -122.5,39 ], [ -121.5,39 ], [ -121.5,37 ], [ -122.5,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49fbe4b07f02db5f4974","contributors":{"authors":[{"text":"Kleckner, Amy E. kleckner@usgs.gov","contributorId":4258,"corporation":false,"usgs":true,"family":"Kleckner","given":"Amy","email":"kleckner@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":306557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, A. Robin 0000-0003-2918-546X","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":82436,"corporation":false,"usgs":true,"family":"Stewart","given":"A. Robin","affiliations":[],"preferred":false,"id":306558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elrick, Kent A.","contributorId":78415,"corporation":false,"usgs":true,"family":"Elrick","given":"Kent","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":788466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":306556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98802,"text":"sim3135 - 2010 - Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan","interactions":[],"lastModifiedDate":"2022-02-16T22:05:13.768771","indexId":"sim3135","displayToPublicDate":"2010-10-08T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3135","title":"Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan","docAbstract":"Digital flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan, were created by the U.S. Geological Survey (USGS) in cooperation with the U.S. Environmental Protection Agency to help guide remediation efforts following a crude-oil spill on July 25, 2010. The spill happened on Talmadge Creek, a tributary of the Kalamazoo River near Marshall, during a flood. The floodwaters transported the spilled oil down the Kalamazoo River and deposited oil in impoundments and on the surfaces of islands and flood plains. Six flood-inundation maps were constructed corresponding to the flood stage (884.09 feet) coincident with the oil spill on July 25, 2010, as well as for floods with annual exceedance probabilities of 0.2, 1, 2, 4, and 10 percent. Streamflow at the USGS streamgage at Marshall, Michigan (USGS site ID 04103500), was used to calculate the flood probabilities. From August 13 to 18, 2010, 35 channel cross sections, 17 bridges and 1 dam were surveyed. These data were used to construct a water-surface profile for the July 25, 2010, flood by use of a one-dimensional step-backwater model. The calibrated model was used to estimate water-surface profiles for other flood probabilities. The resulting six flood-inundation maps were created with a geographic information system by combining flood profiles with a 1.2-foot vertical and 10-foot horizontal resolution digital elevation model derived from Light Detection and Ranging data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3135","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, Region V","usgsCitation":"Hoard, C.J., Fowler, K.K., Kim, M.H., Menke, C., Morlock, S.E., Peppler, M., Rachol, C., and Whitehead, M.T., 2010, Flood-inundation maps for a 15-mile reach of the Kalamazoo River from Marshall to Battle Creek, Michigan: U.S. Geological Survey Scientific Investigations Map 3135, Pamphlet: iv, 6 p.; 6 Sheets: 22 x 17 inches; Downloads Directory, https://doi.org/10.3133/sim3135.","productDescription":"Pamphlet: iv, 6 p.; 6 Sheets: 22 x 17 inches; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":126159,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3135.jpg"},{"id":396056,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_94375.htm"},{"id":14214,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3135/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Michigan","city":"Battle Creek, Marshall","otherGeospatial":"Kalamazoo River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.21064758300781,\n              42.24478535602799\n            ],\n            [\n              -85.21064758300781,\n              42.32961592295752\n            ],\n            [\n              -84.95590209960938,\n              42.32961592295752\n            ],\n            [\n              -84.95590209960938,\n              42.24478535602799\n            ],\n            [\n              -85.21064758300781,\n              42.24478535602799\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e5e4b07f02db5e7046","contributors":{"authors":[{"text":"Hoard, C. J.","contributorId":37436,"corporation":false,"usgs":true,"family":"Hoard","given":"C.","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":306550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fowler, K. K. 0000-0002-0107-3848","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":40633,"corporation":false,"usgs":true,"family":"Fowler","given":"K.","middleInitial":"K.","affiliations":[],"preferred":false,"id":306551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, M. H.","contributorId":68868,"corporation":false,"usgs":true,"family":"Kim","given":"M.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":306554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menke, C. D.","contributorId":70524,"corporation":false,"usgs":true,"family":"Menke","given":"C. D.","affiliations":[],"preferred":false,"id":306555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morlock, S. E.","contributorId":31437,"corporation":false,"usgs":true,"family":"Morlock","given":"S.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":306549,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peppler, M. C.","contributorId":55565,"corporation":false,"usgs":true,"family":"Peppler","given":"M. C.","affiliations":[],"preferred":false,"id":306552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rachol, C. M. 0000-0001-9984-3435","orcid":"https://orcid.org/0000-0001-9984-3435","contributorId":59085,"corporation":false,"usgs":true,"family":"Rachol","given":"C. M.","affiliations":[],"preferred":false,"id":306553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitehead, M. T.","contributorId":31092,"corporation":false,"usgs":true,"family":"Whitehead","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":306548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":98801,"text":"ofr20101231 - 2010 - U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","interactions":[],"lastModifiedDate":"2025-05-15T14:03:47.167481","indexId":"ofr20101231","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1231","title":"U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report","docAbstract":"This is the second report produced by the U.S. Geological Survey (USGS) for the Wyoming Landscape Conservation Initiative (WLCI) to detail annual work activities. The first report described work activities for 2007 and 2008; this report covers work activities conducted in 2009. Important differences between the two reports are that (1) this report does not lump all the Effectiveness Monitoring activities together as last year's report did, which will allow WLCI partners and other readers to fully appreciate the scope and accomplishments of those activities, and (2) this report does not include a comprehensive appendix of the background details for each work activity. In 2009, there were 29 ongoing or completed activities, and there were 5 new work activities conducted under the 5 original major multi-disciplinary science and technical assistance activities: (1) Baseline Synthesis; (2) Targeted Monitoring and Research; (3) Data and Information Management; (4) Integration and Coordination; and (5) Decisionmaking and Evaluation. New work included (1) developing a soil-quality index, (2) developing methods for assessing levels of and relationships between mercury and soil organic matter, and (3) ascertaining element source, mobility, and fate. Additionally, (4) remotely sensed imagery was used to assess vegetation as an indicator of soil condition and geology, and (5) an Integrated Assessment (IA) was initiated to synthesize what has been learned about WLCI systems to date, and to develop associated decision tools, maps, and a comprehensive report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101231","usgsCitation":"Bowen, Z.H., Aldridge, C.L., Anderson, P.J., Assal, T.J., Biewick, L.R., Blecker, S.W., Bristol, R.S., Carr, N.B., Chalfoun, A.D., Chong, G.W., Diffendorfer, J., Fedy, B., Garman, S.L., Germaine, S.S., Grauch, R.I., Holloway, J.M., Homer, C.G., Kauffman, M., Keinath, D., Latysh, N., Manier, D.J., McDougal, R.R., Melcher, C.P., Miller, K.A., Montag, J., Nutt, C.J., Potter, C.J., Sawyer, H., Schell, S., Shafer, S.L., Smith, D., Stillings, L., Tuttle, M., and Wilson, A.B., 2010, U.S. Geological Survey Science for the Wyoming Landscape Conservation Initiative-2009 Annual Report: U.S. Geological Survey Open-File Report 2010-1231, ix, 105 p., https://doi.org/10.3133/ofr20101231.","productDescription":"ix, 105 p.","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":126155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/ofr_2010_1231.jpg"},{"id":14212,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1231/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111,41 ], [ -111,43.5 ], [ -106.5,43.5 ], [ -106.5,41 ], [ -111,41 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd48ffe4b0b290850eecae","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":306532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Patrick J. 0000-0003-2281-389X andersonpj@usgs.gov","orcid":"https://orcid.org/0000-0003-2281-389X","contributorId":3590,"corporation":false,"usgs":true,"family":"Anderson","given":"Patrick","email":"andersonpj@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Assal, Timothy J. 0000-0001-6342-2954 assalt@usgs.gov","orcid":"https://orcid.org/0000-0001-6342-2954","contributorId":2203,"corporation":false,"usgs":true,"family":"Assal","given":"Timothy","email":"assalt@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":306543,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Biewick, Laura R. 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,{"id":98800,"text":"sim3130 - 2010 - Geologic map of the Fraser 7.5-minute quadrangle, Grand County, Colorado","interactions":[],"lastModifiedDate":"2012-02-10T00:11:57","indexId":"sim3130","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3130","title":"Geologic map of the Fraser 7.5-minute quadrangle, Grand County, Colorado","docAbstract":"The geologic map of the Fraser quadrangle, Grand County, Colo., portrays the geology along the western boundary of the Front Range and the eastern part of the Fraser basin near the towns of Fraser and Winter Park. The oldest rocks in the quadrangle include gneiss, schist, and plutonic rocks of Paleoproterozoic age that are intruded by younger plutonic rocks of Mesoproterozoic age. These basement rocks are exposed along the southern, eastern, and northern margins of the quadrangle. Fluvial claystone, mudstone, and sandstone of the Upper Jurassic Morrison Formation, and fluvial sandstone and conglomeratic sandstone of the Lower Cretaceous Dakota Group, overlie Proterozoic rocks in a small area near the southwest corner of the quadrangle. Oligocene rhyolite tuff is preserved in deep paleovalleys cut into Proterozoic rocks near the southeast corner of the quadrangle. Generally, weakly consolidated siltstone and minor unconsolidated sediments of the upper Oligocene to upper Miocene Troublesome Formation are preserved in the post-Laramide Fraser basin. Massive bedding and abundant silt suggest that loess or loess-rich alluvium is a major component of the siltstone in the Troublesome Formation. A small unnamed fault about one kilometer northeast of the town of Winter Park has the youngest known displacement in the quadrangle, displacing beds of the Troublesome Formation. \r\n\r\nSurficial deposits of Pleistocene and Holocene age are widespread in the Fraser quadrangle, particularly in major valleys and on slopes underlain by the Troublesome Formation. Deposits include glacial outwash and alluvium of non-glacial origin; mass-movement deposits transported by creep, debris flow, landsliding, and rockfall; pediment deposits; tills deposited during the Pinedale and Bull Lake glaciations; and sparse diamictons that may be pre-Bull Lake till or debris-flow deposits. Some of the oldest surficial deposits may be as old as Pliocene. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sim3130","usgsCitation":"Shroba, R.R., Bryant, B., Kellogg, K., Theobald, P., and Brandt, T.R., 2010, Geologic map of the Fraser 7.5-minute quadrangle, Grand County, Colorado: U.S. Geological Survey Scientific Investigations Map 3130, Pamphelt: v, 26 p.; Map: 32 inches x 30 inches; Shaded Map: 32 inches x 30 inches, https://doi.org/10.3133/sim3130.","productDescription":"Pamphelt: v, 26 p.; Map: 32 inches x 30 inches; Shaded Map: 32 inches x 30 inches","additionalOnlineFiles":"Y","costCenters":[{"id":308,"text":"Geology and Environmental Change Science Center","active":false,"usgs":true}],"links":[{"id":126156,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim_3130.jpg"},{"id":14211,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3130/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -106.5,39.75 ], [ -106.5,40.25 ], [ -105.86666666666666,40.25 ], [ -105.86666666666666,39.75 ], [ -106.5,39.75 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db6960ae","contributors":{"authors":[{"text":"Shroba, Ralph R. 0000-0002-2664-1813 rshroba@usgs.gov","orcid":"https://orcid.org/0000-0002-2664-1813","contributorId":1266,"corporation":false,"usgs":true,"family":"Shroba","given":"Ralph","email":"rshroba@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, Bruce bbryant@usgs.gov","contributorId":1355,"corporation":false,"usgs":true,"family":"Bryant","given":"Bruce","email":"bbryant@usgs.gov","affiliations":[],"preferred":false,"id":306511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kellogg, Karl S.","contributorId":89896,"corporation":false,"usgs":true,"family":"Kellogg","given":"Karl S.","affiliations":[],"preferred":false,"id":306513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Theobald, Paul K.","contributorId":45361,"corporation":false,"usgs":true,"family":"Theobald","given":"Paul K.","affiliations":[],"preferred":false,"id":306512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Theodore R. 0000-0002-7862-9082 tbrandt@usgs.gov","orcid":"https://orcid.org/0000-0002-7862-9082","contributorId":1267,"corporation":false,"usgs":true,"family":"Brandt","given":"Theodore","email":"tbrandt@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":306510,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":98799,"text":"fs20103089 - 2010 - Chromium-Makes stainless steel stainless","interactions":[],"lastModifiedDate":"2012-02-02T00:15:46","indexId":"fs20103089","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-3089","title":"Chromium-Makes stainless steel stainless","docAbstract":"Chromium, a steely-gray, lustrous, hard metal that takes a high polish and has a high melting point, is a silvery white, hard, and bright metal plating on steel and other material. Commonly known as chrome, it is one of the most important and indispensable industrial metals because of its hardness and resistance to corrosion. But it is used for more than the production of stainless steel and nonferrous alloys; it is also used to create pigments and chemicals used to process leather.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/fs20103089","collaboration":"USGS Mineral Resources Program","usgsCitation":"Kropschot, S., and Doebrich, J., 2010, Chromium-Makes stainless steel stainless: U.S. Geological Survey Fact Sheet 2010-3089, 2 p., https://doi.org/10.3133/fs20103089.","productDescription":"2 p.","additionalOnlineFiles":"N","costCenters":[{"id":388,"text":"Mineral Resources Program Coordinator","active":false,"usgs":true}],"links":[{"id":126157,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs_2010_3089.jpg"},{"id":14210,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2010/3089/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d9e4b07f02db5dfa83","contributors":{"authors":[{"text":"Kropschot, S.J.","contributorId":8456,"corporation":false,"usgs":true,"family":"Kropschot","given":"S.J.","affiliations":[],"preferred":false,"id":306507,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doebrich, Jeff 0009-0009-3427-0985","orcid":"https://orcid.org/0009-0009-3427-0985","contributorId":70508,"corporation":false,"usgs":true,"family":"Doebrich","given":"Jeff","email":"","affiliations":[],"preferred":false,"id":306508,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98798,"text":"sir20105083 - 2010 - Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6","interactions":[],"lastModifiedDate":"2019-08-09T11:26:02","indexId":"sir20105083","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5083","title":"Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6","docAbstract":"The occurrence of antibiotics in surface water and groundwater in urban basins has become a topic of increasing interest in recent years. Little is known about the occurrence, fate, or transport of these compounds and the possible health effects in humans and aquatic life. The U.S. Geological Survey, in cooperation with the City of Columbus, Division of Power and Water, did a study to provide a synoptic view of the occurrence of antibiotics in source and finished waters in the upper Scioto River Basin.\r\n\r\nWater samples were collected seasonally-winter (December 2005), spring (May 2006), summer (August 2006) and fall (October 2006)-at five surface-water sites, one groundwater site, and three water-treatment plants (WTPs). Within the upper Scioto River Basin, sampling at each WTP involved two sampling sites: a source-water intake site and a finished-water site.\r\n\r\nOne or more antibiotics were detected at 11 of the 12 sampling sites. Of the 49 targeted antibiotic compounds, 12 (24 percent) were detected at least one time for a total of 61 detections overall. These compounds were azithromycin, tylosin, erythromycin-H2O, erythromycin, roxithromycin, ciprofloxacin, ofloxacin, sulfamethazine, sulfamethoxazole, iso-chlorotetracycline, lincomycin, and trimethoprim. Detection results were at low levels, with an overall median of 0.014 (u or mu)g/L. Hap Cremean WTP had the fewest detections, with two source-water detections of sulfamethoxazole and azithromycin and no detections in the finished water. Of the total of 61 detections, 31 were in the winter sample run. Sulfamethoxazale and azithromycin detections represent 41 percent of all antibiotic detections. Azithromycin was detected only in the winter sample. Some antibiotics, such as those in the quinoline and tetracycline families, dissipate more quickly in warm water, which may explain why they were detected in the cool months (winter, spring, and fall) and not in the summer. Antibiotic data collected during this study were compared to antibiotic data collected in previous national, regional, and local studies. Many of the same antibiotic compounds detected in the upper Scioto River Basin also were detected in those investigations. \r\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20105083","collaboration":"In cooperation with the City of Columbus, Ohio","usgsCitation":"Finnegan, D., Simonson, L.A., and Meyer, M.T., 2010, Occurrence of antibiotic compounds in source water and finished drinking water from the upper Scioto River Basin, Ohio, 2005-6: U.S. Geological Survey Scientific Investigations Report 2010-5083, vi, 16 p., https://doi.org/10.3133/sir20105083.","productDescription":"vi, 16 p.","additionalOnlineFiles":"Y","temporalStart":"2005-01-01","temporalEnd":"2006-12-31","costCenters":[{"id":513,"text":"Ohio Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":126158,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5083.jpg"},{"id":14209,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5083/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Ohio","otherGeospatial":"Scioto River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.759521484375,\n              39.609920257000795\n            ],\n            [\n              -82.64190673828125,\n              39.609920257000795\n            ],\n            [\n              -82.64190673828125,\n              40.93011520598305\n            ],\n            [\n              -84.759521484375,\n              40.93011520598305\n            ],\n            [\n              -84.759521484375,\n              39.609920257000795\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4af5e4b07f02db6924f8","contributors":{"authors":[{"text":"Finnegan, Dennis P. dpfinneg@usgs.gov","contributorId":2045,"corporation":false,"usgs":true,"family":"Finnegan","given":"Dennis P.","email":"dpfinneg@usgs.gov","affiliations":[],"preferred":true,"id":306505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simonson, Laura A.","contributorId":63110,"corporation":false,"usgs":true,"family":"Simonson","given":"Laura","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":306506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":306504,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":98797,"text":"ofr20101244 - 2010 - Probability and volume of potential postwildfire debris flows in the 2010 Fourmile burn area, Boulder County, Colorado","interactions":[],"lastModifiedDate":"2012-03-02T17:16:08","indexId":"ofr20101244","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1244","title":"Probability and volume of potential postwildfire debris flows in the 2010 Fourmile burn area, Boulder County, Colorado","docAbstract":"This report presents a preliminary emergency assessment of the debris-flow hazards from drainage basins burned by the Fourmile Creek fire in Boulder County, Colorado, in 2010. Empirical models derived from statistical evaluation of data collected from recently burned basins throughout the intermountain western United States were used to estimate the probability of debris-flow occurrence and volumes of debris flows for selected drainage basins. Data for the models include burn severity, rainfall total and intensity for a 25-year-recurrence, 1-hour-duration rainstorm, and topographic and soil property characteristics. \r\n\r\nSeveral of the selected drainage basins in Fourmile Creek and Gold Run were identified as having probabilities of debris-flow occurrence greater than 60 percent, and many more with probabilities greater than 45 percent, in response to the 25-year recurrence, 1-hour rainfall. None of the Fourmile Canyon Creek drainage basins selected had probabilities greater than 45 percent. Throughout the Gold Run area and the Fourmile Creek area upstream from Gold Run, the higher probabilities tend to be in the basins with southerly aspects (southeast, south, and southwest slopes). Many basins along the perimeter of the fire area were identified as having low probability of occurrence of debris flow. Volume of debris flows predicted from drainage basins with probabilities of occurrence greater than 60 percent ranged from 1,200 to 9,400 m3. The predicted moderately high probabilities and some of the larger volumes responses predicted for the modeled storm indicate a potential for substantial debris-flow effects to buildings, roads, bridges, culverts, and reservoirs located both within these drainages and immediately downstream from the burned area. However, even small debris flows that affect structures at the basin outlets could cause considerable damage. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101244","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture Forest Service Arapahoe and Roosevelt National Forests and Boulder County","usgsCitation":"Ruddy, B.C., Stevens, M.R., and Verdin, K., 2010, Probability and volume of potential postwildfire debris flows in the 2010 Fourmile burn area, Boulder County, Colorado: U.S. Geological Survey Open-File Report 2010-1244, iv, 5 p.; 2 Plate Downloads; Plate 1: 36 inches x 24 inches; Plate 2: 36 inches x 24 inches, https://doi.org/10.3133/ofr20101244.","productDescription":"iv, 5 p.; 2 Plate Downloads; Plate 1: 36 inches x 24 inches; Plate 2: 36 inches x 24 inches","additionalOnlineFiles":"Y","temporalStart":"2010-01-01","temporalEnd":"2010-12-31","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":126781,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1244.jpg"},{"id":14208,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1244/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6e15e4b0b290851058ab","contributors":{"authors":[{"text":"Ruddy, Barbara C. bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":306502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stevens, Michael R. 0000-0002-9476-6335 mrsteven@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6335","contributorId":769,"corporation":false,"usgs":true,"family":"Stevens","given":"Michael","email":"mrsteven@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":306501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verdin, Kristine 0000-0002-6114-4660","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":22067,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","affiliations":[],"preferred":false,"id":306503,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70168480,"text":"70168480 - 2010 - Individual growth and reproductive behavior in a newly established population of northern snakehead (<i>Channa argus</i>), Potomac River, USA","interactions":[],"lastModifiedDate":"2016-02-16T13:45:40","indexId":"70168480","displayToPublicDate":"2010-10-07T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Individual growth and reproductive behavior in a newly established population of northern snakehead (<i>Channa argus</i>), Potomac River, USA","docAbstract":"<p><span>Northern snakehead (</span><i class=\"EmphasisTypeItalic \">Channa argus</i><span>) were first found in the Potomac River in 2004. In 2007, we documented feeding and reproductive behavior to better understand how this species is performing in this novel environment. From April to October, we used electrofishing surveys to collect data on growth, condition, and gonad weight of adult fish. Growth rates of young were measured on a daily basis for several weeks. Mean length-at-age for Potomac River northern snakehead was lower than for fish from China, Russia, and Uzbekistan. Fish condition was above average during spring and fall, but below average in summer. Below-average condition corresponded to periods of high spawning activity. Gonadosomatic index indicated that females began spawning at the end of April and continued through August. Peak spawning occurred at the beginning of June when average temperatures reached 26&deg;C. Larval fish growth rate, after the transition to exogenous feeding, was 2.3 (SD&nbsp;&plusmn;&nbsp;0.7) mm (total length, TL) per day. Although Potomac River northern snakehead exhibited lower overall growth rates when compared to other populations, these fish demonstrated plasticity in timing of reproduction and rapid larval growth rates. Such life history characteristics likely contribute to the success of northern snakehead in its new environment and limit managers&rsquo; options for significant control of its invasion.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10750-010-0509-z","usgsCitation":"Landis, A.M., Lapointe, N.W., and Angermeier, P.L., 2010, Individual growth and reproductive behavior in a newly established population of northern snakehead (<i>Channa argus</i>), Potomac River, USA: Hydrobiologia, v. 661, no. 1, p. 123-131, https://doi.org/10.1007/s10750-010-0509-z.","productDescription":"9 p.","startPage":"123","endPage":"131","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-023591","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":318079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Dogue Creek Bay, Potomac River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.95373535156249,\n              38.84826438869913\n            ],\n            [\n              -76.96746826171875,\n              38.758366935612784\n            ],\n            [\n              -76.96746826171875,\n              38.6897975322717\n            ],\n            [\n              -76.92626953125,\n              38.46434231629165\n            ],\n            [\n              -76.86035156249999,\n              38.41055825094609\n            ],\n            [\n              -76.695556640625,\n              38.33088431959968\n            ],\n            [\n              -76.5582275390625,\n              38.24249456800328\n            ],\n            [\n              -76.5582275390625,\n              38.14319750166766\n            ],\n            [\n              -76.66259765625,\n              38.09349821336742\n            ],\n            [\n              -77.01416015625,\n              38.19502155795573\n            ],\n            [\n              -77.0965576171875,\n              38.302869955150044\n            ],\n            [\n              -77.26959228515625,\n              38.28993659801203\n            ],\n            [\n              -77.41241455078125,\n              38.35458032659834\n            ],\n            [\n              -77.40142822265625,\n              38.50304202775689\n            ],\n            [\n              -77.3272705078125,\n              38.6897975322717\n            ],\n            [\n              -77.2174072265625,\n              38.79048618862274\n            ],\n            [\n              -77.15423583984375,\n              38.8824811975508\n            ],\n            [\n              -77.113037109375,\n              38.950865400919994\n            ],\n            [\n              -77.01690673828125,\n              38.95300134535987\n            ],\n            [\n              -76.96197509765625,\n              38.92309226598178\n            ],\n            [\n              -76.95373535156249,\n              38.84826438869913\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"661","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2010-10-07","publicationStatus":"PW","scienceBaseUri":"56c45646e4b0946c6521854f","contributors":{"authors":[{"text":"Landis, Andrew M. Gascho","contributorId":166958,"corporation":false,"usgs":false,"family":"Landis","given":"Andrew","email":"","middleInitial":"M. Gascho","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":620553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lapointe, Nicolas W. R.","contributorId":166959,"corporation":false,"usgs":false,"family":"Lapointe","given":"Nicolas","email":"","middleInitial":"W. R.","affiliations":[],"preferred":false,"id":620554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angermeier, Paul L. biota@usgs.gov","contributorId":1432,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":613,"text":"Virginia Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":620555,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045234,"text":"70045234 - 2010 - The tectono-thermal evolution of the Waterbury dome, western Connecticut, based on U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar ages","interactions":[],"lastModifiedDate":"2021-02-16T14:28:38.857454","indexId":"70045234","displayToPublicDate":"2010-10-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1726,"text":"GSA Memoirs","active":true,"publicationSubtype":{"id":10}},"title":"The tectono-thermal evolution of the Waterbury dome, western Connecticut, based on U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar ages","docAbstract":"<p class=\"p1\"><span class=\"s1\">The Waterbury dome, located in the Rowe-Hawley zone in western Connecticut, is a triple window exposing three terranes: parautochthonous or allochthonous peri-Laurentian rocks in its lowest level 1, allochthonous rocks of the Rowe-Hawley zone in its middle level 2, and allochthonous cover rocks, including Silurian-Devonian rocks of the Connecticut Valley Gasp&eacute; trough, in its highest level 3. Levels 1 and 2 are separated by the Waterbury thrust, a fault equivalent to Cameron's Line, the Taconic suture in southwestern New England. Relict mesoscopic folds and foliation in levels 1 and 2 are truncated by a dominant D</span><span class=\"s2\"><sub>2</sub></span><span class=\"s1\"> migmatitic layering and are likely Taconic. U-Pb zircon crystallization ages of felsic orthogneiss and tonalite, syntectonic with respect to the formation of S</span><span class=\"s2\"><sub>2</sub></span><span class=\"s1\">, and a biotite quartz diorite that crosscuts level 2 paragneiss are 437 &plusmn; 4 Ma, 434 &plusmn; 4 Ma, and 437 &plusmn; 4 Ma, respectively.</span></p>\n<p class=\"p1\"><span class=\"s1\">Level 3 nappes were emplaced over the Waterbury dome along an Acadian d&eacute;collement synchronous with the formation of a D</span><span class=\"s2\"><sub>3</sub></span><span class=\"s1\"> thrust duplex in the dome. The d&eacute;collement truncates the Ky + Kfs-in (migmatite) isograd in the dome core and a St-in isograd in level 3 nappes, indicating that peak metamorphic conditions in the dome core and nappe cover rocks formed in different places at different times. Metamorphic overgrowths on zircon from the felsic orthogneiss in the Waterbury dome have an age of 387 &plusmn; 5 Ma. Rocks of all levels and the d&eacute;collement are folded by D</span><span class=\"s2\"><sub>4</sub></span><span class=\"s1\"> folds that have a strongly developed, regional crenulation cleavage and D</span><span class=\"s2\"><sub>5</sub></span><span class=\"s1\"> folds. The Waterbury dome was formed by thrust duplexing followed by fold interference during the Acadian orogeny. The </span><span class=\"s2\"><sup>40</sup></span><span class=\"s1\">Ar/</span><span class=\"s2\"><sup>39</sup></span><span class=\"s1\">Ar ages of amphibole, muscovite, biotite, and K-feldspar from above and below the d&eacute;collement are ca. 378 Ma, 355 Ma, 360 Ma (above) and 340 (below), and 288 Ma, respectively. Any kilometer-scale vertical movements between dome and nappe rocks were over by ca. 378 Ma. Core and cover rocks of the Waterbury dome record synchronous, post-Acadian cooling.</span></p>","language":"English","publisher":"The Geological Society of America","doi":"10.1130/2010.1206(08)","usgsCitation":"Dietsch, C., Kunk, M.J., Aleinikoff, J., and Sutter, J.F., 2010, The tectono-thermal evolution of the Waterbury dome, western Connecticut, based on U-Pb and <sup>40</sup>Ar/<sup>39</sup>Ar ages: GSA Memoirs, v. 206, p. 141-182, https://doi.org/10.1130/2010.1206(08).","productDescription":"42 p.","startPage":"141","endPage":"182","numberOfPages":"42","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-012962","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":383283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.8,\n              41.3\n            ],\n            [\n              -72.8,\n              41.8\n            ],\n            [\n              -73.25,\n              41.8\n            ],\n            [\n              -73.25,\n              41.3\n            ],\n            [\n              -72.8,\n              41.3\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"206","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"517a506fe4b072c16ef14b70","contributors":{"authors":[{"text":"Dietsch, Craig","contributorId":34738,"corporation":false,"usgs":true,"family":"Dietsch","given":"Craig","affiliations":[],"preferred":false,"id":477082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kunk, Michael J. 0000-0003-4424-7825 mkunk@usgs.gov","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":200968,"corporation":false,"usgs":true,"family":"Kunk","given":"Michael","email":"mkunk@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":477081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aleinikoff, John 0000-0003-3494-6841","orcid":"https://orcid.org/0000-0003-3494-6841","contributorId":56061,"corporation":false,"usgs":true,"family":"Aleinikoff","given":"John","affiliations":[],"preferred":false,"id":477083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sutter, John F.","contributorId":81127,"corporation":false,"usgs":true,"family":"Sutter","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":477084,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":98795,"text":"ofr20101173 - 2010 - Caldera demonstration model","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"ofr20101173","displayToPublicDate":"2010-10-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1173","title":"Caldera demonstration model","docAbstract":"A caldera is a large, usually circular volcanic depression formed when magma is withdrawn or erupted from a shallow underground magma reservoir. It is often difficult to visualize how calderas form. This simple experiment using flour, a balloon, tubing, and a bicycle pump, provides a helpful visualization for caldera formation. ","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101173","usgsCitation":"Venezky, D., and Wessells, S., 2010, Caldera demonstration model: U.S. Geological Survey Open-File Report 2010-1173, Downloadable Video, 2:48 min; Sound File, 2:48 min; Transcript, https://doi.org/10.3133/ofr20101173.","productDescription":"Downloadable Video, 2:48 min; Sound File, 2:48 min; Transcript","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":618,"text":"Volcano Science Center-Long Valley Observatory","active":false,"usgs":true}],"links":[{"id":203676,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14205,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1173/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e47c8e4b07f02db4ab3a0","contributors":{"authors":[{"text":"Venezky, Dina","contributorId":19258,"corporation":false,"usgs":true,"family":"Venezky","given":"Dina","affiliations":[],"preferred":false,"id":306497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wessells, Stephen","contributorId":87227,"corporation":false,"usgs":true,"family":"Wessells","given":"Stephen","affiliations":[],"preferred":false,"id":306498,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98796,"text":"ofr20101174 - 2010 - Carbon dioxide dangers demonstration model","interactions":[],"lastModifiedDate":"2012-02-02T00:15:49","indexId":"ofr20101174","displayToPublicDate":"2010-10-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-1174","title":"Carbon dioxide dangers demonstration model","docAbstract":"Carbon dioxide is a dangerous volcanic gas. When carbon dioxide seeps from the ground, it normally mixes with the air and dissipates rapidly. However, because carbon dioxide gas is heavier than air, it can collect in snowbanks, depressions, and poorly ventilated enclosures posing a potential danger to people and other living things. In this experiment we show how carbon dioxide gas displaces oxygen as it collects in low-lying areas. When carbon dioxide, created by mixing vinegar and baking soda, is added to a bowl with candles of different heights, the flames are extinguished as if by magic.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101174","usgsCitation":"Venezky, D., and Wessells, S., 2010, Carbon dioxide dangers demonstration model: U.S. Geological Survey Open-File Report 2010-1174, Downloadable Video, 4:21 min; Sound File, 4:21 min; Transcript, https://doi.org/10.3133/ofr20101174.","productDescription":"Downloadable Video, 4:21 min; Sound File, 4:21 min; Transcript","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":618,"text":"Volcano Science Center-Long Valley Observatory","active":false,"usgs":true}],"links":[{"id":203646,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14206,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1174/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49f4e4b07f02db5f0119","contributors":{"authors":[{"text":"Venezky, Dina","contributorId":19258,"corporation":false,"usgs":true,"family":"Venezky","given":"Dina","affiliations":[],"preferred":false,"id":306499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wessells, Stephen","contributorId":87227,"corporation":false,"usgs":true,"family":"Wessells","given":"Stephen","affiliations":[],"preferred":false,"id":306500,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":98794,"text":"sir20105157 - 2010 - Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana","interactions":[],"lastModifiedDate":"2012-03-08T17:16:14","indexId":"sir20105157","displayToPublicDate":"2010-10-06T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2010-5157","title":"Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana","docAbstract":"In recent years carbon dioxide intrusion has become recognized as a potentially serious health threat where homes are constructed on or near reclaimed surface coal mines. When carbon dioxide invades the living space of a home, it can collect near the floor, displace the oxygen there, and produce an oxygen-deficient environment. In this investigation, several lines of inquiry were pursued to determine the environmental factors that most influence carbon dioxide intrusion at a Pike County, Ind., home where this phenomenon is known to occur. It was found that carbon dioxide intrusion events at the home are most closely tied to rapid drops in barometric pressure and rainfall. Other researchers have shown that windy conditions and periods of cold weather also can contribute to soil-gas intrusion to structures. From this, a conceptual model was developed to illustrate the influence of these four meteorological conditions. Additionally, three mitigation methods-block-wall depressurization, block-wall and sub-slab depressurization, and block-wall and sub-slab pressurization-were applied successively to the study-site home, and environmental data were collected to evaluate the effectiveness of each mitigation method. In each case, it was found that these methods did not ensure a safe environment when meteorological conditions were favorable for carbon dioxide intrusion.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105157","collaboration":"Prepared in Cooperation with the Indiana Department of Natural Resources, Division of Reclamation","usgsCitation":"Robinson, B.A., 2010, Occurrence and attempted mitigation of carbon dioxide in a home constructed on reclaimed coal-mine spoil, Pike County, Indiana: U.S. Geological Survey Scientific Investigations Report 2010-5157, vi, 17 p.; Appendix, https://doi.org/10.3133/sir20105157.","productDescription":"vi, 17 p.; Appendix","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":126014,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5157.jpg"},{"id":14226,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5157/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ], [ -87.13388888888889,38.31777777777778 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afbe4b07f02db696367","contributors":{"authors":[{"text":"Robinson, Bret A. barobins@usgs.gov","contributorId":3897,"corporation":false,"usgs":true,"family":"Robinson","given":"Bret","email":"barobins@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":306496,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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