{"pageNumber":"1528","pageRowStart":"38175","pageSize":"25","recordCount":184617,"records":[{"id":70040199,"text":"70040199 - 2013 - Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","interactions":[],"lastModifiedDate":"2013-03-24T22:04:10","indexId":"70040199","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface","docAbstract":"Ethanol (EtOH), an emerging contaminant with potential direct and indirect environmental effects, poses threats to water supplies when spilled in large volumes. A series of experiments was directed at understanding the electrical geophysical signatures arising from groundwater contamination by ethanol. Conductivity measurements were performed at the laboratory scale on EtOH–water mixtures (0 to 0.97 v/v EtOH) and EtOH–salt solution mixtures (0 to 0.99 v/v EtOH) with and without a sand matrix using a conductivity probe and a four-electrode electrical measurement over the low frequency range (1–1000 Hz). A Lichtenecker–Rother (L–R) type mixing model was used to simulate electrical conductivity as a function of EtOH concentration in the mixture. For all three experimental treatments increasing EtOH concentration resulted in a decrease in measured conductivity magnitude (|σ|). The applied L–R model fitted the experimental data at concentration ≤ 0.4 v/v EtOH, presumably due to predominant and symmetric intermolecular (EtOH–water) interaction in the mixture. The deviation of the experimental |σ| data from the model prediction at higher EtOH concentrations may be associated with hydrophobic effects of EtOH–EtOH interactions in the mixture. The |σ| data presumably reflected changes in relative strength of the three types of interactions (water–water, EtOH–water, and EtOH–EtOH) occurring simultaneously in EtOH–water mixtures as the ratio of EtOH to water changed. No evidence of measurable polarization effects at the EtOH–water and EtOH–water–mineral interfaces over the investigated frequency range was found. Our results indicate the potential for using electrical measurements to characterize and monitor EtOH spills in the subsurface.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Contaminant Hydrology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jconhyd.2012.10.011","usgsCitation":"Personna, Y.R., Slater, L., Ntarlagiannis, D., Werkema, D.D., and Szabo, Z., 2013, Electrical signatures of ethanol-liquid mixtures: implications for monitoring biofuels migration in the subsurface: Journal of Contaminant Hydrology, v. 144, no. 1, p. 99-107, https://doi.org/10.1016/j.jconhyd.2012.10.011.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-037076","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":269971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jconhyd.2012.10.011"}],"volume":"144","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5150125fe4b08df5cb1312cd","contributors":{"authors":[{"text":"Personna, Yves Robert","contributorId":77820,"corporation":false,"usgs":false,"family":"Personna","given":"Yves","email":"","middleInitial":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":467876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":467875,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":2240,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":false,"id":467874,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70042994,"text":"70042994 - 2013 - Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility","interactions":[],"lastModifiedDate":"2013-03-24T20:06:08","indexId":"70042994","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility","docAbstract":"Arsenic (As) is a metalloid element (atomic number 33) with one naturally occurring isotope of atomic mass 75, and four oxidation states (-3, 0, +3, and +5) (Smedley and Kinniburgh, 2002). In the aqueous environment, the +3 and +5 oxidation states are most prevalent, as the oxyanions arsenite (H<sub>3</sub>AsO<sub>3</sub> or H<sub>2</sub>AsO<sub>3</sub><sup>-</sup> at pH ~9-11) and arsenate (H<sub>2</sub>AsO<sub>4</sub><sup>-</sup> and HAsO<sub>4</sub><sup>2-</sup> at pH ~4-10) (Smedley and Kinniburgh, 2002). In soils, arsine gases (containing As<sup>3-</sup>) may be generated by fungi and other organisms (Woolson, 1977).\n\nThe different forms of As have different toxicities, with arsine gas being the most toxic form. Of the inorganic oxyanions, arsenite is considered more toxic than arsenate, and the organic (methylated) arsenic forms are considered least toxic (for a detailed discussion of toxicity issues, the reader is referred to Mandal and Suzuki (2002)). Arsenic is a global health concern due to its toxicity and the fact that it occurs at unhealthful levels in water supplies, particularly groundwater, in more than 70 countries (Ravenscroft et al., 2009) on six continents.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/55354","collaboration":"This is Chapter 4 in Current perspectives in contaminant hydrology and water resources sustainability","usgsCitation":"Barringer, J., and Reilly, P.A., 2013, Arsenic in groundwater: a summary of sources and the biogeochemical and hydrogeologic factors affecting arsenic occurrence and mobility, chap. <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 83-116, https://doi.org/10.5772/55354.","productDescription":"34 p.","startPage":"83","endPage":"116","ipdsId":"IP-041793","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":473907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/55354","text":"Publisher Index Page"},{"id":269959,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269958,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/55354"}],"noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"5150124fe4b08df5cb1312b9","contributors":{"editors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":509186,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":472767,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472766,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044916,"text":"sir20125239 - 2013 - Critical analysis of world uranium resources","interactions":[],"lastModifiedDate":"2013-03-23T16:05:24","indexId":"sir20125239","displayToPublicDate":"2013-03-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5239","title":"Critical analysis of world uranium resources","docAbstract":"The U.S. Department of Energy, Energy Information Administration (EIA) joined with the U.S. Department of the Interior, U.S. Geological Survey (USGS) to analyze the world uranium supply and demand balance. To evaluate short-term primary supply (0–15 years), the analysis focused on Reasonably Assured Resources (RAR), which are resources projected with a high degree of geologic assurance and considered to be economically feasible to mine. Such resources include uranium resources from mines currently in production as well as resources that are in the stages of feasibility or of being permitted. Sources of secondary supply for uranium, such as stockpiles and reprocessed fuel, were also examined. To evaluate long-term primary supply, estimates of uranium from unconventional and from undiscovered resources were analyzed.\n\nAt 2010 rates of consumption, uranium resources identified in operating or developing mines would fuel the world nuclear fleet for about 30 years. However, projections currently predict an increase in uranium requirements tied to expansion of nuclear energy worldwide. Under a low-demand scenario, requirements through the period ending in 2035 are about 2.1 million tU. In the low demand case, uranium identified in existing and developing mines is adequate to supply requirements. However, whether or not these identified resources will be developed rapidly enough to provide an uninterrupted fuel supply to expanded nuclear facilities could not be determined. On the basis of a scenario of high demand through 2035, 2.6 million tU is required and identified resources in operating or developing mines is inadequate. Beyond 2035, when requirements could exceed resources in these developing properties, other sources will need to be developed from less well-assured resources, deposits not yet at the prefeasibility stage, resources that are currently subeconomic, secondary sources, undiscovered conventional resources, and unconventional uranium supplies.\n\nThis report’s analysis of 141 mines that are operating or are being actively developed identifies 2.7 million tU of in-situ uranium resources worldwide, approximately 2.1 million tU recoverable after mining and milling losses were deducted. Sixty-four operating mines report a total of 1.4 million tU of in-situ RAR (about 1 million tU recoverable). Seventy-seven developing mines/production centers report 1.3 million tU in-situ Reasonably Assured Resources (RAR) (about 1.1 million tU recoverable), which have a reasonable chance of producing uranium within 5 years. Most of the production is projected to come from conventional underground or open pit mines as opposed to in-situ leach mines.\n\nProduction capacity in operating mines is about 76,000 tU/yr, and in developing mines is estimated at greater than 52,000 tU/yr. Production capacity in operating mines should be considered a maximum as mines seldom produce up to licensed capacity due to operational difficulties. In 2010, worldwide mines operated at 70 percent of licensed capacity, and production has never exceeded 89 percent of capacity. The capacity in developing mines is not always reported. In this study 35 percent of developing mines did not report a target licensed capacity, so estimates of future capacity may be too low.\n\nThe Organisation for Economic Co-operation and Development’s Nuclear Energy Agency (NEA) and International Atomic Energy Agency (IAEA) estimate an additional 1.4 million tU economically recoverable resources, beyond that identified in operating or developing mines identified in this report. As well, 0.5 million tU in subeconomic resources, and 2.3 million tU in the geologically less certain inferred category are identified worldwide. These agencies estimate 2.2 million tU in secondary sources such as government and commercial stockpiles and re-enriched uranium tails. They also estimate that unconventional uranium supplies (uraniferous phosphate and black shale deposits) may contain up to 7.6 million tU. Although unconventional resources are currently subeconomic, the improvement of extraction techniques or the production of coproducts may make extraction of uranium from these types of deposits profitable. A large undiscovered resource base is reported by these agencies, however this class of resource should be considered speculative and will require intensive exploration programs to adequately define them as mineable. These resources may all contribute to uranium supply that would fuel the world nuclear fleet well beyond that calculated in this report.\n\nProduction of resources in both operating and developing uranium mines is subject to uncertainties caused by technical, legal, regulatory, and financial challenges that combined to create long timelines between deposit discovery and mine production. This analysis indicates that mine development is proceeding too slowly to fully meet requirements for an expanded nuclear power reactor fleet in the near future (to 2035), and unless adequate secondary or unconventional resources can be identified, imbalances in supply and demand may occur.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125239","collaboration":"Prepared in cooperation with the U.S. Energy Information Administration","usgsCitation":"Hall, S., and Coleman, M., 2013, Critical analysis of world uranium resources: U.S. Geological Survey Scientific Investigations Report 2012-5239, viii, 56 p., https://doi.org/10.3133/sir20125239.","productDescription":"viii, 56 p.","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":269877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125239.gif"},{"id":269875,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5239/"},{"id":269876,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5239/sir2012-5239.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514ec0cfe4b0978cb883402c","contributors":{"authors":[{"text":"Hall, Susan 0000-0002-0931-8694","orcid":"https://orcid.org/0000-0002-0931-8694","contributorId":37438,"corporation":false,"usgs":true,"family":"Hall","given":"Susan","affiliations":[],"preferred":false,"id":476462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Margaret","contributorId":85482,"corporation":false,"usgs":true,"family":"Coleman","given":"Margaret","email":"","affiliations":[],"preferred":false,"id":476463,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044915,"text":"sir20135012 - 2013 - Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2013-03-23T15:52:02","indexId":"sir20135012","displayToPublicDate":"2013-03-23T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5012","title":"Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho","docAbstract":"Paleomagnetic inclination and polarity studies were conducted on subcore samples from eight coreholes located at and near the Naval Reactors Facility (NRF), Idaho National Laboratory (INL). These studies were used to characterize and to correlate successive stratigraphic basalt flow groups in each corehole to basalt flow groups with similar paleomagnetic inclinations in adjacent coreholes. Results were used to extend the subsurface geologic framework at the INL previously derived from paleomagnetic data for south INL coreholes. Geologic framework studies are used in conceptual and numerical models of groundwater flow and contaminant transport. Sample handling and demagnetization protocols are described, as well as the paleomagnetic data averaging process.\n\nPaleomagnetic inclination comparisons among NRF coreholes show comparable stratigraphic successions of mean inclination values over tens to hundreds of meters of depth. Corehole USGS 133 is more than 5 kilometers from the nearest NRF area corehole, and the mean inclination values of basalt flow groups in that corehole are somewhat less consistent than with NRF area basalt flow groups. Some basalt flow groups in USGS 133 are missing, additional basalt flow groups are present, or the basalt flow groups are at depths different from those of NRF area coreholes.\n\nAge experiments on young, low potassium olivine tholeiite basalts may yield inconclusive results; paleomagnetic and stratigraphic data were used to choose the most reasonable ages. Results of age experiments using conventional potassium argon and argon-40/argon-39 protocols indicate that the youngest and uppermost basalt flow group in the NRF area is 303 ± 30 ka and that the oldest and deepest basalt flow group analyzed is 884 ± 53 ka.\n\nA south to north line of cross-section drawn through the NRF coreholes shows corehole-to-corehole basalt flow group correlations derived from the paleomagnetic inclination data. From stratigraphic top to bottom, key results include the following:\n\n* The West of Advanced Test Reactor Complex (ATRC) flow group is the uppermost basalt flow group in the NRF area and correlates among seven continuously cored holes in this study under surficial sediments. The West of ATRC flow group is also found in coreholes near the ATRC, the Idaho Nuclear Technology and Engineering Center (INTEC), and in corehole USGS 129.\n* The ATRC Unknown Vent flow group correlates among seven continuously cored holes in this study underlying the West of ATRC flow group and a sedimentary interbed. Additional paleomagnetic inclination and stratigraphic data derived from the NRF coreholes changed the previously reported interpretation of the subsurface distribution of this basalt flow group. The ATRC Unknown Vent flow group also is found in coreholes near the ATRC and INTEC.\n* The Central Facilities Area (CFA) Buried Vent flow group correlates among all eight coreholes in the NRF area. It also is found in coreholes near the CFA and the Radioactive Waste Management Complex (RWMC) to the south. This basalt flow group is thickest near the CFA, which may indicate proximity to the vent. The State Butte flow group is found below the CFA Buried Vent flow group in the four northern NRF coreholes. It correlates to the State Butte surface vent located just northeast of the NRF. It is not found in coreholes south of the NRF.\n* The Atomic Energy Commission (AEC) Butte flow group is found in coreholes USGS 133, NRF 6P, and NRF 7P. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The AEC Butte flow group vent is exposed at the surface near the ATRC, and its flows are found in many coreholes near the ATRC and INTEC. The AEC Butte flow group abruptly pinches out against the Matuyama Chron reversed polarity flows of the East Matuyama Middle flow group between coreholes NRF 7P and NRF 15.\n* The East Matuyama Middle flow group correlates between coreholes NRF 15 and NRF 16 and may correlate to coreholes NPR Test/W-02 and ANL-OBS-A-001.\n* The North Late Matuyama flow group correlates among coreholes USGS 133, NRF 6P, NRF 7P, NRF 15, and NRF 16. It probably underlies coreholes NRF B18-1, NRF 89-05, and NRF 89-04, but those coreholes were not drilled deeply enough to penetrate the flow group. The vent that produced the North Late Matuyama flow group may be located in the general NRF area because it is thickest near corehole NRF 6P.\n* The Matuyama flow group is found in coreholes in the southern INL from south of the RWMC to corehole USGS 133 and may extend north to corehole NRF 15. The Matuyama flow group is thickest near the RWMC and thins to the north.\n* The Jaramillo (Matuyama) flow group is found in corehole NRF 15, which is the deepest NRF corehole, and shows that the basalt flow group is thick in the subsurface at NRF. This flow group is thickest between the RWMC and INTEC and thins towards the ATRC and NRF.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135012","collaboration":"DOE/ID-22223 Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Champion, D.E., Davis, L.C., Hodges, M., and Lanphere, M.A., 2013, Paleomagnetic correlation and ages of basalt flow groups in coreholes at and near the Naval Reactors Facility, Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2013-5012, vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches, https://doi.org/10.3133/sir20135012.","productDescription":"vi, 48 p.; Plate: 1 Sheet: 17  x 11 inches","numberOfPages":"58","additionalOnlineFiles":"Y","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":269874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135012.jpg"},{"id":269871,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5012/"},{"id":269873,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012_plate1.pdf"},{"id":269872,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5012/pdf/sir20135012.pdf"}],"country":"United States","state":"Idaho","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.5,-43.0 ], [ -113.5,44.5 ], [ -112.0,44.5 ], [ -112.0,-43.0 ], [ -113.5,-43.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514ec0d8e4b0978cb8834030","contributors":{"authors":[{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":476460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Linda C. lcdavis@usgs.gov","contributorId":2539,"corporation":false,"usgs":true,"family":"Davis","given":"Linda","email":"lcdavis@usgs.gov","middleInitial":"C.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hodges, Mary K.V.","contributorId":66848,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary K.V.","affiliations":[],"preferred":false,"id":476461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanphere, Marvin A. alder@usgs.gov","contributorId":2696,"corporation":false,"usgs":true,"family":"Lanphere","given":"Marvin","email":"alder@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476459,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205975,"text":"70205975 - 2013 - Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA","interactions":[],"lastModifiedDate":"2019-10-14T10:42:20","indexId":"70205975","displayToPublicDate":"2013-03-21T10:36:48","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA","docAbstract":"<p><span>Filtered total mercury (FTHg) concentrations in a rapidly urbanizing area ranged from 50 to 250&nbsp;ng/L in surface waters of the Squankum Branch, a tributary to a major river (Great Egg Harbor River (GEHR)) traversing both urban and forested/wetland areas in the Coastal Plain of New Jersey. An unsewered residential area with Hg-contaminated well water (one of many in the region) is adjacent to the stream’s left bank. Although the region’s groundwater contains total Hg (THg) at background levels of &lt;10&nbsp;ng/L, water from about 700 domestic wells in urbanized areas completed in the acidic, quartzose unconfined aquifer typically at depths 20 to 30&nbsp;m below land surface has been found to exceed 2,000&nbsp;ng/L (the USEPA maximum contaminant level). Within urbanized areas, THg concentrations in shallow groundwater (&lt;20&nbsp;m below land surface at or near the water table) and the potential for Hg transport were not well known, representing a considerable knowledge gap. Sampling of streamwater in, and groundwater discharge to, the Squankum Branch watershed revealed that concentrations of THg generally were in the range of 1 to 10&nbsp;ng/L, but narrow plumes (“plumelets”) of shallow groundwater discharging to the stream from the opposing banks contained FTHg at a concentration &gt; 5,000&nbsp;ng/L (left bank) and nearly 2,000&nbsp;ng/L (right bank). The Hg content of bankside soils and sediments was high (up to 12&nbsp;mg/kg) and mostly acid leachable where groundwater with high Hg concentrations discharged, indicating contributions of Hg by both runoff and shallow groundwater. Elevated concentrations of nutrients and chloride in some groundwater plumelets likely indicated inputs from septic-system effluent and (or) fertilizer applications. The Hg probably derives mainly from mercurial pesticide applications to the former agricultural land being urbanized. The study results show that soil disturbance and introduction of anthropogenic substances can mobilize Hg from soils to shallow groundwater and the Hg contamination travels in narrow plumelets to discharge points such as stream tributaries. In the entire GEHR watershed, THg concentrations in groundwater discharging to streams in urban areas tended to be higher than concentrations in water discharging to streams of forested areas, consistent with the results from this small watershed. Other areas with similar quartzose coastal aquifers, land-use history, and hydrogeology may be similarly vulnerable to Hg contamination of shallow groundwater and associated surface water.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1475-7","usgsCitation":"Barringer, J., Szabo, Z., Reilly, P.A., and Riskin, M.L., 2013, Variable contributions of mercury from groundwater to a first-order urban coastal plain stream in New Jersey, USA: Water, Air, & Soil Pollution, v. 224, no. 4, 1475, 25 p., https://doi.org/10.1007/s11270-013-1475-7.","productDescription":"1475, 25 p.","ipdsId":"IP-024353","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":368299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Coastal Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.99017333984375,\n              40.26276066437183\n            ],\n            [\n              -74.608154296875,\n              40.26276066437183\n            ],\n            [\n              -75.49530029296875,\n              39.50615988027491\n            ],\n            [\n              -75.50354003906249,\n              39.459523110465156\n            ],\n            [\n              -75.11627197265625,\n              39.196076813671695\n            ],\n            [\n              -74.674072265625,\n              39.191819549771694\n            ],\n            [\n              -74.3170166015625,\n              39.436192999314095\n            ],\n            [\n              -74.07806396484375,\n              39.79376521264885\n            ],\n            [\n              -73.99017333984375,\n              40.26276066437183\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"224","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Barringer, Julia jbarring@usgs.gov","contributorId":169542,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia","email":"jbarring@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":773138,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":773139,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044212,"text":"70044212 - 2013 - Biology and impacts of Pacific island invasive species 9. <i>Capra hircus</i>, the feral goat, (Mammalia: Bovidae)","interactions":[],"lastModifiedDate":"2013-11-15T10:25:48","indexId":"70044212","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2990,"text":"Pacific Science","active":true,"publicationSubtype":{"id":10}},"title":"Biology and impacts of Pacific island invasive species 9. <i>Capra hircus</i>, the feral goat, (Mammalia: Bovidae)","docAbstract":"Domestic goats, <i>Capra hircus</i>, were intentionally introduced to numerous oceanic islands beginning in the sixteenth century. The remarkable ability of <i>C. hircus</i> to survive in a variety of conditions has enabled this animal to become feral and impact native ecosystems on islands throughout the world. Direct ecological impacts include consumption and trampling of native plants, leading to plant community modification and transformation of ecosystem structure. While the negative impacts of feral goats are well-known and effective management strategies have been developed to control this invasive species, large populations persist on many islands. This review summarizes the impacts of feral goats on Pacific island ecosystems, and the management strategies available to control this invasive species.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Pacific Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"University of Hawai'i Press","publisherLocation":"Honolulu, HI","doi":"10.2984/67.2.1","usgsCitation":"Chynoweth, M.W., Litton, C.M., Lepczyk, C., Hess, S.A., and Cordell, S., 2013, Biology and impacts of Pacific island invasive species 9. <i>Capra hircus</i>, the feral goat, (Mammalia: Bovidae): Pacific Science, v. 67, no. 2, p. 141-156, https://doi.org/10.2984/67.2.1.","productDescription":"36 p.","startPage":"141","endPage":"156","ipdsId":"IP-040344","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":269845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":271856,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.2984/67.2.1"}],"volume":"67","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddbe4b0cf4196fef2c9","contributors":{"authors":[{"text":"Chynoweth, Mark W.","contributorId":62489,"corporation":false,"usgs":true,"family":"Chynoweth","given":"Mark","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":475112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litton, Creighton M.","contributorId":58534,"corporation":false,"usgs":true,"family":"Litton","given":"Creighton","email":"","middleInitial":"M.","affiliations":[{"id":34391,"text":"Department of Natural Resources and Environmental Management, University of Hawai‘i at Mānoa, Honolulu, Hawaii 96822","active":true,"usgs":false}],"preferred":false,"id":475111,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lepczyk, Christopher A.","contributorId":24212,"corporation":false,"usgs":true,"family":"Lepczyk","given":"Christopher A.","affiliations":[],"preferred":false,"id":475110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hess, Steve A.","contributorId":23040,"corporation":false,"usgs":true,"family":"Hess","given":"Steve","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475109,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordell, Susan","contributorId":22221,"corporation":false,"usgs":true,"family":"Cordell","given":"Susan","affiliations":[],"preferred":false,"id":475108,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70040826,"text":"70040826 - 2013 - Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","interactions":[],"lastModifiedDate":"2013-04-20T20:16:02","indexId":"70040826","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow","docAbstract":"The impact of preferential flow on recharge and contaminant transport poses a considerable challenge to water-resources management. Typical hydrologic models require extensive site characterization, but can underestimate fluxes when preferential flow is significant. A recently developed source-responsive model incorporates film-flow theory with conservation of mass to estimate unsaturated-zone preferential fluxes with readily available data. The term source-responsive describes the sensitivity of preferential flow in response to water availability at the source of input. We present the first rigorous tests of a parsimonious formulation for simulating water table fluctuations using two case studies, both in arid regions with thick unsaturated zones of fractured volcanic rock. Diffuse flow theory cannot adequately capture the observed water table responses at both sites; the source-responsive model is a viable alternative. We treat the active area fraction of preferential flow paths as a scaled function of water inputs at the land surface then calibrate the macropore density to fit observed water table rises. Unlike previous applications, we allow the characteristic film-flow velocity to vary, reflecting the lag time between source and deep water table responses. Analysis of model performance and parameter sensitivity for the two case studies underscores the importance of identifying thresholds for initiation of film flow in unsaturated rocks, and suggests that this parsimonious approach is potentially of great practical value.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20141","usgsCitation":"Mirus, B.B., and Nimmo, J., 2013, Balancing practicality and hydrologic realism: a parsimonious approach for simulating rapid groundwater recharge via unsaturated-zone preferential flow: Water Resources Research, v. 49, no. 3, p. 1458-1465, https://doi.org/10.1002/wrcr.20141.","productDescription":"8 p.","startPage":"1458","endPage":"1465","ipdsId":"IP-042286","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473910,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20141","text":"Publisher Index Page"},{"id":269842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269841,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20141"}],"volume":"49","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-03-12","publicationStatus":"PW","scienceBaseUri":"514c1ddae4b0cf4196fef2c5","contributors":{"authors":[{"text":"Mirus, Benjamin B. 0000-0001-5550-014X bbmirus@usgs.gov","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":4064,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin","email":"bbmirus@usgs.gov","middleInitial":"B.","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":469083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nimmo, J. R. 0000-0001-8191-1727","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":58304,"corporation":false,"usgs":true,"family":"Nimmo","given":"J. R.","affiliations":[],"preferred":false,"id":469084,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70041274,"text":"70041274 - 2013 - Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","interactions":[],"lastModifiedDate":"2013-04-04T14:19:57","indexId":"70041274","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","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":"Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments","docAbstract":"Rates of U(VI) release from individual dry-sieved size fractions of a field-aggregated, field-contaminated composite sediment from the seasonally saturated lower vadose zone of the Hanford 300-Area were examined in flow-through reactors to maintain quasi-constant chemical conditions. The principal source of variability in equilibrium U(VI) adsorption properties of the various size fractions was the impact of variable chemistry on adsorption. This source of variability was represented using surface complexation models (SCMs) with different stoichiometric coefficients with respect to hydrogen ion and carbonate concentrations for the different size fractions. A reactive transport model incorporating equilibrium expressions for cation exchange and calcite dissolution, along with rate expressions for aerobic respiration and silica dissolution, described the temporal evolution of solute concentrations observed during the flow-through reactor experiments. Kinetic U(VI) desorption was well described using a multirate SCM with an assumed lognormal distribution for the mass-transfer rate coefficients. The estimated mean and standard deviation of the rate coefficients were the same for all <2 mm size fractions but differed for the 2–8 mm size fraction. Micropore volumes, assessed using t-plots to analyze N2 desorption data, were also the same for all dry-sieved <2 mm size fractions, indicating a link between micropore volumes and mass-transfer rate properties. Pore volumes for dry-sieved size fractions exceeded values for the corresponding wet-sieved fractions. We hypothesize that repeated field wetting and drying cycles lead to the formation of aggregates and/or coatings containing (micro)pore networks which provided an additional mass-transfer resistance over that associated with individual particles. The 2–8 mm fraction exhibited a larger average and standard deviation in the distribution of mass-transfer rate coefficients, possibly caused by the abundance of microporous basaltic rock fragments.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/wrcr.20104","usgsCitation":"Stoliker, D., Liu, C., Kent, D.B., and Zachara, J.M., 2013, Characterizing particle-scale equilibrium adsorption and kinetics of uranium(VI) desorption from U-contaminated sediments: Water Resources Research, v. 49, no. 2, p. 1163-1177, https://doi.org/10.1002/wrcr.20104.","productDescription":"15 p.","startPage":"1163","endPage":"1177","ipdsId":"IP-042410","costCenters":[{"id":148,"text":"Branch of Regional Research-Western Region","active":false,"usgs":true}],"links":[{"id":473912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wrcr.20104","text":"Publisher Index Page"},{"id":269865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269864,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wrcr.20104"}],"volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-12","publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d1","contributors":{"authors":[{"text":"Stoliker, Deborah L. dlstoliker@usgs.gov","contributorId":2954,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah L.","email":"dlstoliker@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":469486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Chongxuan","contributorId":66983,"corporation":false,"usgs":true,"family":"Liu","given":"Chongxuan","email":"","affiliations":[],"preferred":false,"id":469488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":469485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zachara, John M.","contributorId":7421,"corporation":false,"usgs":true,"family":"Zachara","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":469487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044671,"text":"70044671 - 2013 - Representation of ecological systems within the protected areas network of the continental United States","interactions":[],"lastModifiedDate":"2018-12-20T13:16:17","indexId":"70044671","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Representation of ecological systems within the protected areas network of the continental United States","docAbstract":"If conservation of biodiversity is the goal, then the protected areas network of the continental US may be one of our best conservation tools for safeguarding ecological systems (i.e., vegetation communities). We evaluated representation of ecological systems in the current protected areas network and found insufficient representation at three vegetation community levels within lower elevations and moderate to high productivity soils. We used national-level data for ecological systems and a protected areas database to explore alternative ways we might be able to increase representation of ecological systems within the continental US. By following one or more of these alternatives it may be possible to increase the representation of ecological systems in the protected areas network both quantitatively (from 10% up to 39%) and geographically and come closer to meeting the suggested Convention on Biological Diversity target of 17% for terrestrial areas. We used the Landscape Conservation Cooperative framework for regional analysis and found that increased conservation on some private and public lands may be important to the conservation of ecological systems in Western US, while increased public-private partnerships may be important in the conservation of ecological systems in Eastern US. We have not assessed the pros and cons of following the national or regional alternatives, but rather present them as possibilities that may be considered and evaluated as decisions are made to increase the representation of ecological systems in the protected areas network across their range of ecological, geographical, and geophysical occurrence in the continental US into the future.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0054689","usgsCitation":"Aycrigg, J.L., Davidson, A., Svancara, L.K., Gergely, K.J., McKerrow, A., and Scott, J.M., 2013, Representation of ecological systems within the protected areas network of the continental United States: PLoS ONE, v. 8, no. 1, e54689; 15 p., https://doi.org/10.1371/journal.pone.0054689.","productDescription":"e54689; 15 p.","ipdsId":"IP-035086","costCenters":[{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true},{"id":38315,"text":"GAP Analysis Project","active":true,"usgs":true}],"links":[{"id":473908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0054689","text":"Publisher Index Page"},{"id":269836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269835,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0054689"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -126.0,23.5 ], [ -126.0,49.0 ], [ -68.5,49.0 ], [ -68.5,23.5 ], [ -126.0,23.5 ] ] ] } } ] }","volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-01-23","publicationStatus":"PW","scienceBaseUri":"514c1de1e4b0cf4196fef2e5","contributors":{"authors":[{"text":"Aycrigg, Jocelyn L.","contributorId":99445,"corporation":false,"usgs":true,"family":"Aycrigg","given":"Jocelyn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":476213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davidson, Anne","contributorId":48268,"corporation":false,"usgs":true,"family":"Davidson","given":"Anne","affiliations":[],"preferred":false,"id":476211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svancara, Leona K.","contributorId":20071,"corporation":false,"usgs":true,"family":"Svancara","given":"Leona","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476210,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gergely, Kevin J. 0000-0002-4379-2189 gergely@usgs.gov","orcid":"https://orcid.org/0000-0002-4379-2189","contributorId":2706,"corporation":false,"usgs":true,"family":"Gergely","given":"Kevin","email":"gergely@usgs.gov","middleInitial":"J.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":476208,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":4542,"corporation":false,"usgs":false,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":476209,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, J. Michael","contributorId":98877,"corporation":false,"usgs":true,"family":"Scott","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":476212,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044740,"text":"sir20125247 - 2013 - Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","interactions":[],"lastModifiedDate":"2013-03-21T14:03:42","indexId":"sir20125247","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2012-5247","title":"Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York","docAbstract":"Ninety percent of the drinking water for New York City passes through the Hillview Reservoir facility in the City of Yonkers, Westchester County, New York. In the past, several seeps located downslope from the reservoir have flowed out from the side of the steepest slope at the southern end of the earthen embankment. One seep that has been flowing continuously was discovered during an inspection of the embankment in 1999. Efforts were made in 2001 to locate the potential sources of the continuous flowing seep. In 2005, the U.S. Geological Survey, in cooperation with the New York City Department of Environmental Protection, began a cooperative study to investigate the relevant hydrogeologic framework to characterize the local groundwater-flow system and to determine possible sources of the seeps. The two agencies used hydrologic and surface geophysical techniques to assess the earthen embankment of the Hillview Reservoir. Between April 1, 2005 and March 1, 2008, water levels were measured manually each month at 46 wells surrounding the reservoir, and flow was measured monthly at three of the five seeps on the embankment. Water levels were measured hourly in the East Basin of the reservoir, at 24 of 46 wells, and discharge was measured hourly at two of the five seeps. Slug tests were performed at 16 wells to determine the hydraulic conductivity of the geologic material surrounding the screened zone. Estimated hydraulic conductivities for 25 wells on the southern embankment ranged from 0.0063 to 1.2 feet per day and averaged 0.17 foot per day. The two-dimensional resistivity surveys indicate a subsurface mound of electrically conductive material (low-resistivity zone) beneath the terrace area (top of dam) surrounding the reservoir with a distinct elevation increase closer to the crest. Two-dimensional shear wave velocity surveys indicate a similar structure of the high shear wave velocity materials (high-velocity zone), increasing in elevation toward the crest and decreasing toward the reservoir and toward the northern part of the study area. Water-quality samples collected from 12 wells, downtake chamber 1 of the reservoir, and two seeps detected the presence of arsenic, toluene, and two trihalomethanes. Water-quality samples collected at the two seeps detected fluoride, indicating a connection with reservoir water.\n\nShallow wells on the southern embankment exhibited the largest seasonal water-level fluctuations ranging between 6 feet and 12 feet. The embankment is constructed from reworked low-permeability glacial deposits at the site. Water-level responses in observation wells within the embankment indicate that there is a shallow (approximately the upper 45 feet of the embankment) and a deep water-bearing unit within the embankment with a large downward vertical gradient between the shallow and deep water-bearing units. Precipitation strongly affected water levels in shallow wells, whereas the basin appears to be the main control on water levels in the deep wells. Seeps on the embankment slope appear to be caused by above-average precipitation that increases water levels in the shallow water-bearing unit, but does not easily recharge the deep water-bearing unit. Based on the data that have been analyzed, source water to the seeps appears to be primarily groundwater and, to a lesser extent, water from the East Basin of the reservoir.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20125247","collaboration":"Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Chu, A., Stumm, F., Joesten, P.K., and Noll, M.L., 2013, Geophysical and hydrologic analysis of an earthen dam site in southern Westchester County, New York: U.S. Geological Survey Scientific Investigations Report 2012-5247, vii, 64 p., https://doi.org/10.3133/sir20125247.","productDescription":"vii, 64 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":269858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20125247.gif"},{"id":269856,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2012/5247/"},{"id":269857,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2012/5247/pdf/sir2012-5247_report_508.pdf"}],"country":"United States","state":"New York","county":"Westchester County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -73.982887,40.878872 ], [ -73.982887,41.36384 ], [ -73.482709,41.36384 ], [ -73.482709,40.878872 ], [ -73.982887,40.878872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddee4b0cf4196fef2d9","contributors":{"authors":[{"text":"Chu, Anthony 0000-0001-8623-2862 achu@usgs.gov","orcid":"https://orcid.org/0000-0001-8623-2862","contributorId":2517,"corporation":false,"usgs":true,"family":"Chu","given":"Anthony","email":"achu@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476267,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Joesten, Peter K. pjoesten@usgs.gov","contributorId":1929,"corporation":false,"usgs":true,"family":"Joesten","given":"Peter","email":"pjoesten@usgs.gov","middleInitial":"K.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":476266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noll, Michael L. 0000-0003-2050-3134 mnoll@usgs.gov","orcid":"https://orcid.org/0000-0003-2050-3134","contributorId":4652,"corporation":false,"usgs":true,"family":"Noll","given":"Michael","email":"mnoll@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044690,"text":"70044690 - 2013 - Macroscopic, histologic, and ultrastructural lesions associated with avian keratin disorder in Black-capped Chickadees (Poecile atricapillus)","interactions":[],"lastModifiedDate":"2018-08-21T15:10:10","indexId":"70044690","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"title":"Macroscopic, histologic, and ultrastructural lesions associated with avian keratin disorder in Black-capped Chickadees (Poecile atricapillus)","docAbstract":"An epizootic of beak abnormalities (avian keratin disorder) was recently detected among wild birds in Alaska. Here we describe the gross, histologic, and ultrastructural features of the disease in 30 affected adult black-capped chickadees (Poecile atricapillus). Grossly, there was elongation of the rhamphotheca, with varying degrees of lateral deviation, crossing, and gapping between the upper and lower beak. Not uncommonly, the claws were overgrown, and there was alopecia, scaling, and crusting of the skin. The most prominent histopathologic features in the beak included epidermal hyperplasia, hyperkeratosis, and core-like intrusions of necrotic debris. In affected birds, particularly those with moderate to severe beak overgrowth, there was remodeling of premaxillary and mandibular bones and various dermal lesions. Lesions analogous to those found in beaks were present in affected claws, indicating that this disorder may target both of these similar tissues. Mild to moderate hyperkeratosis occurred in other keratinized tissues, including skin, feather follicles, and, occasionally, sinus epithelium, but typically only in the presence of microbes. We did not find consistent evidence of a bacterial, fungal, or viral etiology for the beak lesions. The changes observed in affected birds did not correspond with any known avian diseases, suggesting a potentially novel hyperkeratotic disorder in wild birds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Veterinary Pathology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American College of Veterinary Pathologists","publisherLocation":"Madison, WI","doi":"10.1177/0300985812469637","usgsCitation":"Van Hemert, C.R., Armién, A., Blake, J., Handel, C.M., and O'Hara, T., 2013, Macroscopic, histologic, and ultrastructural lesions associated with avian keratin disorder in Black-capped Chickadees (Poecile atricapillus): Veterinary Pathology, v. 50, no. 3, p. 500-513, https://doi.org/10.1177/0300985812469637.","productDescription":"14 p.","startPage":"500","endPage":"513","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":473909,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4445976","text":"External Repository"},{"id":269851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269850,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1177/0300985812469637"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 172.5,51.2 ], [ 172.5,71.4 ], [ -130.0,71.4 ], [ -130.0,51.2 ], [ 172.5,51.2 ] ] ] } } ] }","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-11","publicationStatus":"PW","scienceBaseUri":"514c1de0e4b0cf4196fef2e1","contributors":{"authors":[{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":476236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Armién, A. G.","contributorId":45596,"corporation":false,"usgs":true,"family":"Armién","given":"A. G.","affiliations":[],"preferred":false,"id":476234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blake, J.E.","contributorId":11840,"corporation":false,"usgs":true,"family":"Blake","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":476232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":476233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Hara, T. M.","contributorId":64610,"corporation":false,"usgs":true,"family":"O'Hara","given":"T. M.","affiliations":[],"preferred":false,"id":476235,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041484,"text":"70041484 - 2013 - Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea","interactions":[],"lastModifiedDate":"2018-09-05T12:40:33","indexId":"70041484","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea","docAbstract":"Icebreaker-based sampling in the northern Bering Sea south of St. Lawrence Island in March of 2008, 2009, and 2010 has provided new data on overall ecosystem function early in the annual productive cycle. While water-column chlorophyll concentrations (<25 mg m<sup>−2</sup> integrated over the whole water column) are two orders of magnitude lower than observed during the spring bloom in May, sea-ice algal inventories of chlorophyll are high (up to 1 g m<sup>−3</sup> in the bottom 2-cm of sea-ice). Vertical fluxes of chlorophyll as measured in sediment traps were between 0.3 to 3.7 mg m<sup>−2</sup> d<sup>−1</sup> and were consistent with the recent deposition (days to weeks time scale) of chlorophyll to the surface sediments (0–25 mg m<sup>−2</sup> present at 0–1 cm). Sediment oxygen respiration rates were lower than previous measurements that followed the spring bloom, but were highest in areas of known high benthic biomass. Early spring release of sedimentary ammonium occurs, particularly southeast of St. Lawrence Island, leading to bottom-water ammonium concentrations of >5 µM. These data, together with other physical, biological, and nutrient data are presented here in conjunction with observed sea-ice dynamics and the distribution of an apex predator, the Spectacled Eider (Somateria fischeri). Sea-ice dynamics in addition to benthic food availability, as determined by sedimentation processes, play a role in the distribution of spectacled eiders, which cannot always access the greatest biomass of their preferred bivalve prey. Overall, the data and observations indicate that the northern Bering Sea is biologically active in late winter, but with strong atmospheric and hydrographic controls. These controls pre-determine nutrient and chlorophyll distributions, water-column mixing, as well as pelagic-benthic coupling.","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.dsr2.2013.03.009","usgsCitation":"Cooper, L.W., Sexson, M.G., Grebmeier, J., Gradinger, R., Mordy, C., and Lovvorn, J., 2013, Linkages between sea-ice coverage, pelagic-benthic coupling, and the distribution of spectacled eiders: observations in March 2008, 2009 and 2010, northern Bering Sea: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 94, no. October 2013, p. 31-43, https://doi.org/10.1016/j.dsr2.2013.03.009.","productDescription":"13 p.","startPage":"31","endPage":"43","ipdsId":"IP-040792","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":269844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269843,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr2.2013.03.009"}],"otherGeospatial":"Bering Sea","volume":"94","issue":"October 2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddfe4b0cf4196fef2dd","contributors":{"authors":[{"text":"Cooper, L. W.","contributorId":25782,"corporation":false,"usgs":false,"family":"Cooper","given":"L.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":469822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sexson, Matthew G. 0000-0002-1078-0835 msexson@usgs.gov","orcid":"https://orcid.org/0000-0002-1078-0835","contributorId":5544,"corporation":false,"usgs":true,"family":"Sexson","given":"Matthew","email":"msexson@usgs.gov","middleInitial":"G.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":469823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grebmeier, J.M.","contributorId":43932,"corporation":false,"usgs":true,"family":"Grebmeier","given":"J.M.","affiliations":[],"preferred":false,"id":469824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gradinger, R.","contributorId":14706,"corporation":false,"usgs":true,"family":"Gradinger","given":"R.","email":"","affiliations":[],"preferred":false,"id":469820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mordy, C.W.","contributorId":20621,"corporation":false,"usgs":true,"family":"Mordy","given":"C.W.","email":"","affiliations":[],"preferred":false,"id":469821,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lovvorn, J.R.","contributorId":11165,"corporation":false,"usgs":true,"family":"Lovvorn","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":469819,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044712,"text":"ofr20131056 - 2013 - Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California","interactions":[],"lastModifiedDate":"2013-03-21T13:48:02","indexId":"ofr20131056","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1056","title":"Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California","docAbstract":"At the request of the U.S. Bureau of Land Management, we performed a study during April–July 2010 to characterize mercury (Hg), monomethyl mercury (MMeHg), and other geochemical constituents in sediment, water, and biota at the Clyde Gold Mine and the Elgin Mercury Mine, located in neighboring subwatersheds of Sulphur Creek, Colusa County, California. This study was in support of a Comprehensive Environmental Response, Compensation, and Liability Act - Removal Site Investigation. The investigation was in response to an abatement notification from the California Central Valley Regional Water Quality Control Board to evaluate the release of Hg from the Clyde and Elgin mines. Samples of water, sediment, and biota (aquatic macroinvertebrates) were collected from sites upstream and downstream from the two mine sites to evaluate the level of Hg contamination contributed by each mine to the aquatic ecosystem. Physical parameters, as well as dissolved organic carbon, total Hg (Hg<sub>T</sub>), and MMeHg were analyzed in water and sediment. Other relevant geochemical constituents were analyzed in sediment, filtered water, and unfiltered water. Samples of aquatic macroinvertebrates from each mine were analyzed for Hg<sub>T</sub> and MMeHg. The presence of low to moderate concentrations of Hg<sub>T</sub> and MMeHg in water, sediment, and biota from the Freshwater Branch of Sulphur Creek, and the lack of significant increases in these concentrations downstream from the Clyde Mine indicated that this mine is not a significant source of Hg to the watershed during low flow conditions. Although concentrations of Hg<sub>T</sub> and MMeHg were generally higher in samples of sediment and water from the Elgin Mine compared to the Clyde Mine, concentrations in comparable biota from the two mine areas were similar. It is likely that highly saline effluent from nearby hot springs contribute more Hg to the West Fork of Sulphur Creek than the mine waste material at the Elgin Mine.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131056","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Hothem, R.L., Rytuba, J.J., Brussee, B.E., and Goldstein, D., 2013, Assessment of mercury and methylmercury in water, sediment, and biota in Sulphur Creek in the vicinity of the Clyde Gold Mine and the Elgin Mercury Mine, Colusa County, California: U.S. Geological Survey Open-File Report 2013-1056, viii, 38 p., https://doi.org/10.3133/ofr20131056.","productDescription":"viii, 38 p.","numberOfPages":"46","additionalOnlineFiles":"N","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":269855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131056.jpg"},{"id":269853,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1056/"},{"id":269854,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1056/pdf/ofr20131056.pdf"}],"country":"United States","state":"California","county":"Colusa County","otherGeospatial":"Sulphur Creek;Clyde Gold Mine;Elgin Mercury Mine","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.785099,38.923908 ], [ -122.785099,39.414632 ], [ -121.795349,39.414632 ], [ -121.795349,38.923908 ], [ -122.785099,38.923908 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1dd9e4b0cf4196fef2c1","contributors":{"authors":[{"text":"Hothem, Roger L. roger_hothem@usgs.gov","contributorId":1721,"corporation":false,"usgs":true,"family":"Hothem","given":"Roger","email":"roger_hothem@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":476253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rytuba, James J. jrytuba@usgs.gov","contributorId":3043,"corporation":false,"usgs":true,"family":"Rytuba","given":"James","email":"jrytuba@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":476254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":476255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goldstein, Daniel N.","contributorId":87671,"corporation":false,"usgs":true,"family":"Goldstein","given":"Daniel N.","affiliations":[],"preferred":false,"id":476256,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044743,"text":"sim3246 - 2013 - Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","interactions":[],"lastModifiedDate":"2013-03-21T16:12:53","indexId":"sim3246","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3246","title":"Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","docAbstract":"Digital flood-inundation maps for a 4.0-mile reach of the Iroquois River at Rensselaer, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at (http://waterdata.usgs.gov/in/nwis/uv?site_no=05522500). In addition, the National Weather Service (NWS) forecasts flood hydrographs at the Rensselaer streamgage. That forecasted peak-stage information, also available on the Internet (http://water.weather.gov/ahps/), may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nFor this study, flood profiles were computed for the Iroquois River reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (June 27, 2012) stage-discharge relations at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind., and high-water marks from the flood of July 2003. The calibrated hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Rensselaer, Ind., and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3246","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., and Bunch, A.R., 2013, Flood-inundation maps for the Iroquois River at Rensselaer, Indiana: U.S. Geological Survey Scientific Investigations Map 3246, Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory, https://doi.org/10.3133/sim3246.","productDescription":"Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3246.png"},{"id":269868,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3246/SIM3246_map_sheets_pdf"},{"id":269869,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3246/Downloads"},{"id":269866,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3246/"},{"id":269867,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3246/pdf/SIM3246.pdf"}],"country":"United States","state":"Indiana","city":"Rensselaer","otherGeospatial":"Iroquois River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.216667,40.55 ], [ -87.216667,40.966667 ], [ -87.1,40.966667 ], [ -87.1,40.55 ], [ -87.216667,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d5","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476278,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70044741,"text":"70044741 - 2013 - Characterization of the OmyY1 region on the rainbow trout Y chromosome","interactions":[],"lastModifiedDate":"2013-03-21T15:08:05","indexId":"70044741","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2045,"text":"International Journal of Genomics","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the OmyY1 region on the rainbow trout Y chromosome","docAbstract":"We characterized the male-specific region on the Y chromosome of rainbow trout, which contains both sdY (the sex-determining gene) and the male-specific genetic marker, OmyY1. Several clones containing the OmyY1 marker were screened from a BAC library from a YY clonal line and found to be part of an 800 kb BAC contig.  Using fluorescence in situ hybridization (FISH), these clones were localized to the end of the short arm of the Y chromosome in rainbow trout, with an additional signal on the end of the X chromosome in many cells. We sequenced a minimum tiling path of these clones using Illumina and 454 pyrosequencing.  The region is rich in transposons and rDNA, but also appears to contain several single-copy protein-coding genes.  Most of these genes are also found on the X chromosome; and in several cases sex-specific SNPs in these genes were identified between the male (YY) and female (XX) homozygous clonal lines. Additional genes were identified by hybridization of the BACs to the cGRASP salmonid 4x44K oligo microarray. By BLASTn evaluations using hypothetical transcripts of OmyY1-linked candidate genes as query against several EST databases, we conclude at least 12 of these candidate genes are likely functional, and expressed.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Genomics","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Hindawi Publishing Corporation","publisherLocation":"Cairo, Egypt","doi":"10.1155/2013/261730","usgsCitation":"Phillips, R.B., DeKoning, J.J., Brunelli, J.P., Faber-Hammond, J.J., Hansen, J.D., Christensen, K.A., Renn, S., and Thorgaard, G.H., 2013, Characterization of the OmyY1 region on the rainbow trout Y chromosome: International Journal of Genomics, v. 2013, 261730; 10 p., https://doi.org/10.1155/2013/261730.","productDescription":"261730; 10 p.","ipdsId":"IP-043508","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":473911,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2013/261730","text":"Publisher Index Page"},{"id":269861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269860,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1155/2013/261730"}],"volume":"2013","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddce4b0cf4196fef2cd","chorus":{"doi":"10.1155/2013/261730","url":"http://dx.doi.org/10.1155/2013/261730","publisher":"Hindawi Publishing Corporation","authors":"Phillips Ruth B., DeKoning Jenefer J., Brunelli Joseph P., Faber-Hammond Joshua J., Hansen John D., Christensen Kris A., Renn Suzy C. P., Thorgaard Gary H.","journalName":"International Journal of Genomics","publicationDate":"2013","auditedOn":"11/9/2014","publiclyAccessibleDate":"1/1/2013"},"contributors":{"authors":[{"text":"Phillips, Ruth B.","contributorId":9607,"corporation":false,"usgs":true,"family":"Phillips","given":"Ruth","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":476270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeKoning, Jenefer J.","contributorId":19052,"corporation":false,"usgs":true,"family":"DeKoning","given":"Jenefer","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brunelli, Joseph P.","contributorId":84237,"corporation":false,"usgs":true,"family":"Brunelli","given":"Joseph","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":476275,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faber-Hammond, Joshua J.","contributorId":95352,"corporation":false,"usgs":true,"family":"Faber-Hammond","given":"Joshua","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476276,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, John D. 0000-0002-3006-2734 jhansen@usgs.gov","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":3440,"corporation":false,"usgs":true,"family":"Hansen","given":"John","email":"jhansen@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476269,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Christensen, Kris A.","contributorId":48066,"corporation":false,"usgs":true,"family":"Christensen","given":"Kris","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Renn, Suzy","contributorId":62487,"corporation":false,"usgs":true,"family":"Renn","given":"Suzy","email":"","affiliations":[],"preferred":false,"id":476274,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thorgaard, Gary H.","contributorId":60512,"corporation":false,"usgs":true,"family":"Thorgaard","given":"Gary","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476273,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70040401,"text":"70040401 - 2013 - Assessing ongoing sources of dissolved-phase polychlorinated biphenyls in a contaminated stream","interactions":[],"lastModifiedDate":"2013-03-21T09:27:25","indexId":"70040401","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing ongoing sources of dissolved-phase polychlorinated biphenyls in a contaminated stream","docAbstract":"Few studies assess the potential of ongoing sources of “fresh” polychlorinated biphenyls (PCBs) to aquatic systems when direct discharge to the environment has been eliminated. In the present study, the authors used single-layered, low-density polyethylene samplers (PEs) to measure total PCB concentrations, congener profiles, and enantiomeric fractions (EFs) in a contaminated stream and to provide multiple lines of evidence for assessing ongoing inputs of PCB. Concentrations were well above background levels that have been monitored for years. Concentrations significantly increased with distance, the farthest downstream PE concentrations being almost five times greater than those at 79 m downstream of a historical point source. The PCBs in the PEs at 79 m downstream of the contamination source were dominated by low K<sub>OW</sub> congeners, similar to those in the mixture of Aroclors 1016 and 1254 (4:1 v/v) historically released from the former capacitor manufacturer. The only two chiral congeners detected in the PEs downstream were PCBs 91 and 95. The EF values were nonracemic for PCB 91, while the values were either racemic or near racemic for PCB 95. Increased PCB concentrations with distance and a congener composition of predominantly low-weight congeners in the PEs at 79 m downstream of the plant site suggested an ongoing PCB source from the plant site. Chiral signatures suggested aerobic biotransformation of dissolved PCBs but did not shed any light on possible ongoing PCB inputs.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Toxicology and Chemistry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"SETAC","publisherLocation":"Brussels, Belgium","doi":"10.1002/etc.2106","usgsCitation":"Dang, V., Walters, D., and Lee, C., 2013, Assessing ongoing sources of dissolved-phase polychlorinated biphenyls in a contaminated stream: Environmental Toxicology and Chemistry, v. 32, no. 3, p. 535-540, https://doi.org/10.1002/etc.2106.","productDescription":"6 p.","startPage":"535","endPage":"540","ipdsId":"IP-041630","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269837,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/etc.2106"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2012-12-19","publicationStatus":"PW","scienceBaseUri":"514c1dcfe4b0cf4196fef2bd","contributors":{"authors":[{"text":"Dang, Viet D.","contributorId":77437,"corporation":false,"usgs":true,"family":"Dang","given":"Viet D.","affiliations":[],"preferred":false,"id":468273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walters, David M.","contributorId":76590,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","affiliations":[],"preferred":false,"id":468272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Cindy M.","contributorId":81380,"corporation":false,"usgs":true,"family":"Lee","given":"Cindy M.","affiliations":[],"preferred":false,"id":468274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044670,"text":"ds757 - 2013 - Archive of U.S. Geological Survey selected single-beam bathymetry datasets, 1969-2000","interactions":[],"lastModifiedDate":"2013-03-20T15:53:35","indexId":"ds757","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"757","title":"Archive of U.S. Geological Survey selected single-beam bathymetry datasets, 1969-2000","docAbstract":"New national programs, as well as natural and man-made disasters, have raised awareness about the need to find new and improved ways to share information about the coastal and marine environment with a wide-ranging public audience. The U.S. Geological Survey (USGS) Coastal and Marine Geology Program (CMGP) has begun a large-scale effort to incorporate the program's published, digital geophysical data into a single point of access known as the Coastal and Marine Geoscience Data System (CMGDS) (http://cmgds.marine.usgs.gov/). To aid in data discovery, work is also being done to import CMGP data into highly visible data and information resources, such as the National Oceanic and Atmospheric Administration's (NOAA) National Geophysical Data Center (NGDC) and two widely used Earth-science tools, GeoMapApp (GMA) (http://www.geomapapp.org) and Virtual Ocean (VO) (http://www.virtualocean.org/). This task of the CMGP Integrated Data Management System project will help support information exchange with partners, regional planning groups, and the public, as well as facilitate integrated spatial-data analysis. Sharing USGS-CMGP geophysical data via CMGDS, NGDC, GMA, and VO will aid data discovery and enable the data to support new purposes beyond those for which the data were originally intended.\n\nIn order to make data available to NGDC, and from there into GMA and VO, the data must be reformatted into a standard exchange format and published. In 1977, a group of geophysical data managers from the public and private sectors developed the MGD77 format as the standard exchange format for geophysical data. In 2010, a tab-delimited version of the format was added as MGD77T (Hittelman and others, 1977).\n\nThe MGD77T geophysical data format can include bathymetry, magnetics, gravity, and seismic navigation data. It is used for the transmission of data between marine institutions, data centers, and can be used by various software programs as an exchange format. A header (documentation) file and data file are created for each survey (Hittelman and others, 1977). More details about the MGD77T format are available at http://www.ngdc.noaa.gov/mgg/dat/geodas/docs/mgd77.pdf (74MB PDF).\n\nThis archive describes the detailed steps used to convert single-beam bathymetry and navigation files into the MGD77T format (Hittelman and others, 1977) for submission to NGDC and formal Federal Geographic Data Committee (FGDC) (http://www.fgdc.gov/metadata) metadata as a publication of these single-beam bathymetry datasets.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds757","collaboration":"Coastal and Marine Geology Program","usgsCitation":"Schreppel, H.A., Degnan, C.H., Dadisman, S.V., and Metzger, D.R., 2013, Archive of U.S. Geological Survey selected single-beam bathymetry datasets, 1969-2000: U.S. Geological Survey Data Series 757, HTML Document; Title Page, https://doi.org/10.3133/ds757.","productDescription":"HTML Document; Title Page","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1969-01-01","temporalEnd":"2000-12-31","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":269800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds757.png"},{"id":269798,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/757/"},{"id":269799,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/757/title.html"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,15.0 ], [ -180.0,80.0 ], [ -90.0,80.0 ], [ -90.0,15.0 ], [ -180.0,15.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514acc52e4b0040b38150c85","contributors":{"authors":[{"text":"Schreppel, Heather A. hschreppel@usgs.gov","contributorId":673,"corporation":false,"usgs":true,"family":"Schreppel","given":"Heather","email":"hschreppel@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":476204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Degnan, Carolyn H.","contributorId":29094,"corporation":false,"usgs":true,"family":"Degnan","given":"Carolyn","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":476206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dadisman, Shawn V. sdadisman@usgs.gov","contributorId":2207,"corporation":false,"usgs":true,"family":"Dadisman","given":"Shawn","email":"sdadisman@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":true,"id":476205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Metzger, Dan R.","contributorId":90413,"corporation":false,"usgs":true,"family":"Metzger","given":"Dan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":476207,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70188514,"text":"70188514 - 2013 - Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","interactions":[],"lastModifiedDate":"2017-06-14T13:36:29","indexId":"70188514","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska","docAbstract":"<p><span>Northern peatlands have accumulated large carbon (C) stocks, acting as a long-term atmospheric C sink since the last deglaciation. How these C-rich ecosystems will respond to future climate change, however, is still poorly understood. Furthermore, many northern peatlands exist in regions underlain by permafrost, adding to the challenge of projecting C balance under changing climate and permafrost dynamics. In this study, we used a paleoecological approach to examine the effect of past climates and local disturbances on vegetation and C accumulation at a peatland complex on the southern Seward Peninsula, Alaska over the past ∼15&nbsp;ka (1&nbsp;ka&nbsp;=&nbsp;1000&nbsp;cal&nbsp;yr BP). We analyzed two cores about 30&nbsp;m apart, NL10-1 (from a permafrost peat plateau) and NL10-2 (from an adjacent thermokarst collapse-scar bog), for peat organic matter (OM), C accumulation rates, macrofossil, pollen and grain size analysis.</span></p><p><span>A wet rich fen occurred during the initial stages of peatland development at the thermokarst site (NL10-2). The presence of tree pollen from <i>Picea</i><span> spp. and </span><i>Larix laricinia</i><span> at 13.5–12.1&nbsp;ka indicates a warm regional climate, corresponding with the well-documented Bølling–Allerød warm period. A cold and dry climate interval at 12.1–11.1&nbsp;ka is indicated by the disappearance of tree pollen and increase in Poaceae pollen and an increase in woody material, likely representing a local expression of the Younger Dryas (YD) event. Following the YD, the warm Holocene Thermal Maximum (HTM) is characterized by the presence of </span><i>Populus</i><span> pollen, while the presence of </span><i>Sphagnum</i><span> spp. and increased C accumulation rates suggest high peatland productivity under a warm climate. Toward the end of the HTM and throughout the mid-Holocene a wet climate-induced several major flooding disturbance events at 10&nbsp;ka, 8.1&nbsp;ka, 6&nbsp;ka, 5.4&nbsp;ka and 4.7&nbsp;ka, as evidenced by decreases in OM, and increases in coarse sand abundance and aquatic fossils (algae </span><i>Chara</i><span> and water fleas </span><i>Daphnia</i><span>). The initial peatland at permafrost site (NL10-1) is characterized by rapid C accumulation (66&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span>), high OM content and a peak in </span><i>Sphagnum</i><span> spp. at 5.8–4.6&nbsp;ka, suggesting the lack of permafrost. A transition to extremely low C accumulation rates of 6.3&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> after 4.5&nbsp;ka at this site suggests the onset of permafrost aggradation, likely in response to Neoglacial climate cooling as documented across the circum-Arctic region. A similar decrease in C accumulation rates also occurred at non-permafrost site NL10-2. Time-weighted C accumulation rates are 21.8&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> for core NL10-1 during the last ∼6.5&nbsp;ka and 14.8&nbsp;g&nbsp;C&nbsp;m</span><sup>−2</sup><span>&nbsp;yr</span><sup>−1</sup><span> for core NL10-2 during the last ∼15&nbsp;ka. Evidence from peat-core analysis and historical aerial photographs shows an abrupt increase in </span><i>Sphagnum</i><span> spp. and decrease in area of thermokarst lakes over the last century, suggesting major changes in hydrology and ecosystem structure, likely due to recent climate warming.</span></span></p><p><span><span>Our results show that the thermokarst–permafrost complex was much more dynamic with high C accumulation rates under warmer climates in the past, while permafrost was stabilized and C accumulation slowed down following the Neoglacial cooling in the late Holocene. Furthermore, permafrost presence at local scales is controlled by both regional climate and site-specific factors, highlighting the challenge in projecting responses of permafrost peatlands and their C dynamics to future climate change.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2012.11.019","usgsCitation":"Hunt, S.D., Yu, Z., and Jones, M.C., 2013, Lateglacial and Holocene climate, disturbance and permafrost peatland dynamics on the Seward Peninsula, western Alaska: Quaternary Science Reviews, v. 63, p. 42-58, https://doi.org/10.1016/j.quascirev.2012.11.019.","productDescription":"16 p.","startPage":"42","endPage":"58","ipdsId":"IP-042048","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":342495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska ","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.47381591796875,\n              64.66225203688786\n            ],\n            [\n              -163.41699600219727,\n              64.66225203688786\n            ],\n            [\n              -163.41699600219727,\n              64.68105206571617\n            ],\n            [\n              -163.47381591796875,\n              64.68105206571617\n            ],\n            [\n              -163.47381591796875,\n              64.66225203688786\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"63","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59424b3ce4b0764e6c65dc6b","contributors":{"authors":[{"text":"Hunt, Stephanie D.","contributorId":58532,"corporation":false,"usgs":true,"family":"Hunt","given":"Stephanie","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":698173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yu, Zicheng 0000-0003-2358-2712","orcid":"https://orcid.org/0000-0003-2358-2712","contributorId":147521,"corporation":false,"usgs":false,"family":"Yu","given":"Zicheng","email":"","affiliations":[{"id":16857,"text":"Lehigh Univ.","active":true,"usgs":false}],"preferred":false,"id":698174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Miriam C. 0000-0002-6650-7619 miriamjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6650-7619","contributorId":4056,"corporation":false,"usgs":true,"family":"Jones","given":"Miriam","email":"miriamjones@usgs.gov","middleInitial":"C.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":698109,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044668,"text":"ds750 - 2013 - Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11","interactions":[],"lastModifiedDate":"2016-08-05T14:21:39","indexId":"ds750","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"750","title":"Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Trinity Glen Rose Groundwater Conservation District, the Edwards Aquifer Authority, and the San Antonio River Authority, developed a geodatabase of springs within and surrounding the Trinity aquifer outcrops in a 331-square-mile study area in northern Bexar County, Texas. The data used to develop the geodatabase were compiled from existing reports and databases, along with spring data collected between October 2010 and September 2011. Characteristics including the location, discharge, and water-quality properties were collected for known springs and documented in the geodatabase. A total of 141 springs were located within the study area, and 46 springs were field verified. The discharge at springs with flow ranged from 0.003 to 1.46 cubic feet per second. The specific conductance of the water discharging from the springs ranged from 167 to 1,130 microsiemens per centimeter at 25 degrees Celsius with a majority of values in the range of 500 microsiemens per centimeter at 25 degrees Celsius.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds750","collaboration":"Prepared in cooperation with Trinity Glen Rose Groundwater Conservation District, Edwards Aquifer Authority, and San Antonio River Authority","usgsCitation":"Clark, A.K., Pedraza, D.E., Morris, R., and Garcia, T.J., 2013, Geodatabase and characteristics of springs within and surrounding the Trinity aquifer outcrops in northern Bexar County, Texas, 2010--11: U.S. Geological Survey Data Series 750, Document: vi, 20 p.; Downloads Directory, https://doi.org/10.3133/ds750.","productDescription":"Document: vi, 20 p.; Downloads Directory","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":269777,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds750.gif"},{"id":269774,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/750/"},{"id":269775,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/750/pdf/ds750.pdf"},{"id":269776,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/750/downloads/"}],"country":"United States","state":"Texas","county":"Bexar County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -98.81,29.11 ], [ -98.81,29.76 ], [ -98.12,29.76 ], [ -98.12,29.11 ], [ -98.81,29.11 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514acc5fe4b0040b38150c89","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pedraza, Diana E. 0000-0003-4483-8094 dpedraza@usgs.gov","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":1281,"corporation":false,"usgs":false,"family":"Pedraza","given":"Diana","email":"dpedraza@usgs.gov","middleInitial":"E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":106213,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476199,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Travis J.","contributorId":26173,"corporation":false,"usgs":true,"family":"Garcia","given":"Travis","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476198,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044638,"text":"70044638 - 2013 - Stress, deformation, conservation, and rheology: a survey of key concepts in continuum mechanics","interactions":[],"lastModifiedDate":"2013-03-20T16:54:53","indexId":"70044638","displayToPublicDate":"2013-03-20T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Stress, deformation, conservation, and rheology: a survey of key concepts in continuum mechanics","docAbstract":"This chapter provides a brief survey of key concepts in continuum mechanics. It focuses on the fundamental physical concepts that underlie derivations of the mathematical formulations of stress, strain, hydraulic head, pore-fluid pressure, and conservation equations. It then shows how stresses are linked to strain and rates of distortion through some special cases of idealized material behaviors. The goal is to equip the reader with a physical understanding of key mathematical formulations that anchor continuum mechanics in order to better understand theoretical studies published in geomorphology.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountain and Hillslope Geomorphology: Volume 7 in Treatise on Geomorphology","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/B978-0-12-374739-6.00146-9","usgsCitation":"Major, J., 2013, Stress, deformation, conservation, and rheology: a survey of key concepts in continuum mechanics, chap. <i>of</i> Mountain and Hillslope Geomorphology: Volume 7 in Treatise on Geomorphology, v. 7, p. 20-43, https://doi.org/10.1016/B978-0-12-374739-6.00146-9.","productDescription":"24 p.","startPage":"20","endPage":"43","ipdsId":"IP-026970","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":269809,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269808,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/B978-0-12-374739-6.00146-9"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514acc61e4b0040b38150c8d","contributors":{"authors":[{"text":"Major, J. J. 0000-0003-2449-4466","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":29461,"corporation":false,"usgs":true,"family":"Major","given":"J. J.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":476108,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70169081,"text":"70169081 - 2013 - Exotic plant colonization and occupancy within riparian areas of the Interior Columbia River and Upper Missouri River basins, USA","interactions":[],"lastModifiedDate":"2016-03-16T12:54:43","indexId":"70169081","displayToPublicDate":"2013-03-19T14:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Exotic plant colonization and occupancy within riparian areas of the Interior Columbia River and Upper Missouri River basins, USA","docAbstract":"<p><span>Exotic plant invasions into riparia often result in shifts in vegetative composition, altered stream function, and cascading effects to biota at multiple scales. Characterizing the distribution patterns of exotic plants is an important step in directing targeted research to identify mechanisms of invasion and potential management strategies. In this study, we employed occupancy models to examine the associations of landscape, climate, and disturbance attributes with the colonization and occupancy patterns for spotted knapweed (</span><i class=\"EmphasisTypeItalic \">Centaurea stoebe</i><span>&nbsp;L.), Canada thistle (</span><i class=\"EmphasisTypeItalic \">Cirsium arvense</i><span>&nbsp;L., Scop.), and cheatgrass (</span><i class=\"EmphasisTypeItalic \">Bromus tectorum</i><span>&nbsp;L.) in the riparia of headwater streams (</span><i class=\"EmphasisTypeItalic \">n</i><span>&thinsp;=&thinsp;1,091) in the Interior Columbia River and Upper Missouri River Basins. We found relatively low occupancy rates for cheatgrass (0.06, SE&thinsp;=&thinsp;0.02) and spotted knapweed (0.04, SE&thinsp;=&thinsp;0.01), but moderate occupancy of Canada thistle (0.28, SE&thinsp;=&thinsp;0.05); colonization rates were low across all species (&lt;0.01). We found the distributions of spotted knapweed, Canada thistle, and cheatgrass to exhibit significant associations with both ambient climate conditions and anthropogenic and natural disturbances. We attribute the low to moderate occupancy and colonization rates to the relatively remote locations of our sample sites within headwater streams and urge consideration of means to prevent further invasions.</span></p>","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Wetlands","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","doi":"10.1007/s13157-013-0399-8","usgsCitation":"Al-Chokhachy, R.K., Ray, A.M., Roper, B.B., and Archer, E., 2013, Exotic plant colonization and occupancy within riparian areas of the Interior Columbia River and Upper Missouri River basins, USA: Wetlands, v. 33, no. 3, p. 409-420, https://doi.org/10.1007/s13157-013-0399-8.","productDescription":"12 p.","startPage":"409","endPage":"420","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040594","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":318911,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Interior Columbia River and Upper Missouri River basins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.134765625,\n              39.639537564366684\n            ],\n            [\n              -123.134765625,\n              49.06666839558117\n            ],\n            [\n              -104.501953125,\n              49.06666839558117\n            ],\n            [\n              -104.501953125,\n              39.639537564366684\n            ],\n            [\n              -123.134765625,\n              39.639537564366684\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2013-03-19","publicationStatus":"PW","scienceBaseUri":"56ea83aee4b0f59b85d90cf6","contributors":{"authors":[{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":622820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew M.","contributorId":35667,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":622821,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":622822,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Archer, Eric","contributorId":167603,"corporation":false,"usgs":false,"family":"Archer","given":"Eric","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":622823,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70038316,"text":"70038316 - 2013 - Anthropogenic impacts to the recovery of the Mexican gray wolf with a focus on trapping-related incidents","interactions":[],"lastModifiedDate":"2015-06-17T13:01:54","indexId":"70038316","displayToPublicDate":"2013-03-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Anthropogenic impacts to the recovery of the Mexican gray wolf with a focus on trapping-related incidents","docAbstract":"<p>Concerns regarding the potential negative impacts of regulated furbearer trapping to reintroduced Mexican gray wolves (Canis lupus baileyi), led to an executive order prohibiting trapping in the New Mexico, USA, portion of the Blue Range Wolf Recovery Area. This ban was to last for 6 months and required an evaluation of the risk posed to wolves by traps and snares legally permitted in New Mexico. We reviewed potential threats to wolves in the Blue Range Wolf Recovery Area, including threats associated with regulated furbearer trapping. One hundred Mexican gray wolf mortalities have been documented during the reintroduction effort (1998&ndash;2011). Of those mortalities with a known cause, &gt;81% were human-caused resulting from illegal shooting (n&thinsp;=&thinsp;43), vehicle collisions (n&thinsp;=&thinsp;14), lethal removal by the United States Fish and Wildlife Service (USFWS; n&thinsp;=&thinsp;12), non-project-related trapping (n&thinsp;=&thinsp;2), project-related trapping (n&thinsp;=&thinsp;1), and legal shooting by the public (n&thinsp;=&thinsp;1). Ten wolves died due to unknown causes. The remaining 17 mortalities were a result of natural causes (e.g., starvation, disease). An additional 23 wolves were permanently, but non-lethally, removed from the wild by the USFWS. Of 13 trapping incidents in New Mexico that involved non-project trappers (i.e., trappers not associated with USFWS or U.S. Department of Agriculture-Wildlife Services), 7 incidents are known to have resulted in injuries to wolves: 2 wolves sustained injuries severe enough to result in leg amputations and 2 additional wolves died as a result of injuries sustained. Foothold traps with rubber-padded jaws and properly set snares may reduce trap-related injuries to Mexican gray wolves; however, impacts caused by trapping are overshadowed by other anthropogenic impacts (e.g., illegal shooting, non-lethal permanent removal, and vehicle collisions).</p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.247","usgsCitation":"Turnbull, T.T., Cain, J.W., and Roemer, G.W., 2013, Anthropogenic impacts to the recovery of the Mexican gray wolf with a focus on trapping-related incidents: Wildlife Society Bulletin, v. 37, no. 2, p. 311-318, https://doi.org/10.1002/wsb.247.","productDescription":"8 p.","startPage":"311","endPage":"318","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-032658","costCenters":[{"id":471,"text":"New Mexico Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":500039,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/81d04e5fd6854e8f8677ca2f4bb8466b","text":"External Repository"},{"id":269700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269699,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/wsb.247"}],"country":"United States","state":"New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,37.0 ], [ -103.0,37.0 ], [ -103.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","volume":"37","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"51498302e4b0971933f63644","contributors":{"authors":[{"text":"Turnbull, Trey T.","contributorId":15909,"corporation":false,"usgs":true,"family":"Turnbull","given":"Trey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":463852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":463851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, Gary W.","contributorId":95355,"corporation":false,"usgs":true,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":463853,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70044637,"text":"70044637 - 2013 - Explaining local-scale species distributions: relative contributions of spatial autocorrelation and landscape heterogeneity for an avian assemblage","interactions":[],"lastModifiedDate":"2013-03-19T11:57:23","indexId":"70044637","displayToPublicDate":"2013-03-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Explaining local-scale species distributions: relative contributions of spatial autocorrelation and landscape heterogeneity for an avian assemblage","docAbstract":"Understanding interactions between mobile species distributions and landcover characteristics remains an outstanding challenge in ecology. Multiple factors could explain species distributions including endogenous evolutionary traits leading to conspecific clustering and endogenous habitat features that support life history requirements. Birds are a useful taxon for examining hypotheses about the relative importance of these factors among species in a community. We developed a hierarchical Bayes approach to model the relationships between bird species occupancy and local landcover variables accounting for spatial autocorrelation, species similarities, and partial observability. We fit alternative occupancy models to detections of 90 bird species observed during repeat visits to 316 point-counts forming a 400-m grid throughout the Patuxent Wildlife Research Refuge in Maryland, USA. Models with landcover variables performed significantly better than our autologistic and null models, supporting the hypothesis that local landcover heterogeneity is important as an exogenous driver for species distributions. Conspecific clustering alone was a comparatively poor descriptor of local community composition, but there was evidence for spatial autocorrelation in all species. Considerable uncertainty remains whether landcover combined with spatial autocorrelation is most parsimonious for describing bird species distributions at a local scale. Spatial structuring may be weaker at intermediate scales within which dispersal is less frequent, information flows are localized, and landcover types become spatially diversified and therefore exhibit little aggregation. Examining such hypotheses across species assemblages contributes to our understanding of community-level associations with conspecifics and landscape composition.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Public Library of Science","publisherLocation":"San Francisco, CA","doi":"10.1371/journal.pone.0055097","usgsCitation":"Mattsson, B., Zipkin, E., Gardner, B., Blank, P.J., Sauer, J., and Royle, J., 2013, Explaining local-scale species distributions: relative contributions of spatial autocorrelation and landscape heterogeneity for an avian assemblage: PLoS ONE, v. 8, no. 2, e55097, https://doi.org/10.1371/journal.pone.0055097.","productDescription":"e55097","ipdsId":"IP-034377","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473913,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0055097","text":"Publisher Index Page"},{"id":269706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269705,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0055097"}],"volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2013-02-05","publicationStatus":"PW","scienceBaseUri":"5149830fe4b0971933f63650","contributors":{"authors":[{"text":"Mattsson, Brady J.","contributorId":84205,"corporation":false,"usgs":true,"family":"Mattsson","given":"Brady J.","affiliations":[],"preferred":false,"id":476105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipkin, Elise F.","contributorId":70528,"corporation":false,"usgs":true,"family":"Zipkin","given":"Elise F.","affiliations":[],"preferred":false,"id":476103,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":476106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blank, Peter J.","contributorId":97396,"corporation":false,"usgs":true,"family":"Blank","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":476107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":3737,"corporation":false,"usgs":true,"family":"Sauer","given":"John R.","email":"jrsauer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":476102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Royle, J. Andrew 0000-0003-3135-2167","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":80808,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":476104,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70044648,"text":"ds709X - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Nuristan mineral district in Afghanistan","interactions":[],"lastModifiedDate":"2013-03-19T10:25:22","indexId":"ds709X","displayToPublicDate":"2013-03-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"709","chapter":"X","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Nuristan mineral district in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Nuristan mineral district, which has gem, lithium, and cesium deposits.\n\nALOS was launched on January 24, 2006, and provides multispectral images from the AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor in blue (420–500 nanometer, nm), green (520–600 nm), red (610–690 nm), and near-infrared (760–890 nm) wavelength bands with an 8-bit dynamic range and a 10-meter (m) ground resolution. The satellite also provides a panchromatic band image from the PRISM (Panchromatic Remote-sensing Instrument for Stereo Mapping) sensor (520–770 nm) with the same dynamic range but a 2.5-m ground resolution. The image products in this DS incorporate copyrighted data provided by the Japan Aerospace Exploration Agency (©JAXA,2008,2009), but the image processing has altered the original pixel structure and all image values of the JAXA ALOS data, such that original image values cannot be recreated from this DS. As such, the DS products match JAXA criteria for value added products, which are not copyrighted, according to the ALOS end-user license agreement.\n\nThe selection criteria for the satellite imagery used in our mosaics were images having (1) the highest solar-elevation angles (near summer solstice) and (2) the least cloud, cloud-shadow, and snow cover. The multispectral and panchromatic data were orthorectified with ALOS satellite ephemeris data, a process which is not as accurate as orthorectification using digital elevation models (DEMs); however, the ALOS processing center did not have a precise DEM. As a result, the multispectral and panchromatic image pairs were generally not well registered to the surface and not coregistered well enough to perform resolution enhancement on the multispectral data. For this particular area, PRISM image orthorectification was performed by the Alaska Satellite Facility, applying its photogrammetric software to PRISM stereo images with vertical control points obtained from the digital elevation database produced by the Shuttle Radar Topography Mission (Farr and others, 2007) and horizontal adjustments based on a controlled Landsat image base (Davis, 2006). The 10-m AVNIR multispectral imagery was then coregistered to the orthorectified PRISM images and individual multispectral and panchromatic images were mosaicked into single images of the entire area of interest. The image coregistration was facilitated using an automated control-point algorithm developed by the USGS that allows image coregistration to within one picture element. Before rectification, the multispectral and panchromatic images were converted to radiance values and then to relative-reflectance values using the methods described in Davis (2006). Mosaicking the multispectral or panchromatic images started with the image with the highest sun-elevation angle and the least atmospheric scattering, which was treated as the standard image. The band-reflectance values of all other multispectral or panchromatic images within the area were sequentially adjusted to that of the standard image by determining band-reflectance correspondence between overlapping images using linear least-squares analysis. All available panchromatic images for this area had significant cloud and snow cover that precluded their use for resolution enhancement of the multispectral image data. Each of the four-band images within the 10-m image mosaic was individually subjected to a local-area histogram stretch algorithm (described in Davis, 2007), which stretches each band’s picture element based on the digital values of all picture elements within a 500-m radius. The final databases, which are provided in this DS, are three-band, color-composite images of the local-area-enhanced, natural-color data (the blue, green, and red wavelength bands) and color-infrared data (the green, red, and near-infrared wavelength bands).\n\nAll image data were initially projected and maintained in Universal Transverse Mercator (UTM) map projection using the target area’s local zone (42 for Nuristan) and the WGS84 datum. The final image mosaics for the Nuristan area are provided as embedded geotiff images, which can be read and used by most geographic information system (GIS) and image-processing software. The tiff world files (tfw) are provided, even though they are generally not needed for most software to read an embedded geotiff image.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds709X","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey; This report is Chapter X in <i>Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan</i> (DS 709)","usgsCitation":"Davis, P.A., Cagney, L.E., Arko, S.A., and Harbin, M., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Nuristan mineral district in Afghanistan: U.S. Geological Survey Data Series 709, HTML Document; Readme; 4 Index Maps: 45 x 63 inches; 2 Image Files; 2 Metadata; Shapefiles, https://doi.org/10.3133/ds709X.","productDescription":"HTML Document; Readme; 4 Index Maps: 45 x 63 inches; 2 Image Files; 2 Metadata; Shapefiles","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":269695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds709x.png"},{"id":269689,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/x/"},{"id":269690,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/x/1_readme.txt"},{"id":269691,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/x/index_maps/index_maps.html"},{"id":269692,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/x/image_files/image_files.html"},{"id":269693,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/x/metadata/metadata.html"},{"id":269694,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/x/shapefiles/shapefiles.html"}],"country":"Afghanistan","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 58.0,28.0 ], [ 58.0,40.0 ], [ 78.0,40.0 ], [ 78.0,28.0 ], [ 58.0,28.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51498311e4b0971933f63654","contributors":{"editors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":509265,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Davis, Philip A. pdavis@usgs.gov","contributorId":692,"corporation":false,"usgs":true,"family":"Davis","given":"Philip","email":"pdavis@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":476124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cagney, Laura E. 0000-0003-3282-2458 lcagney@usgs.gov","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":4744,"corporation":false,"usgs":true,"family":"Cagney","given":"Laura","email":"lcagney@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":476125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arko, Scott A.","contributorId":101929,"corporation":false,"usgs":true,"family":"Arko","given":"Scott","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harbin, Michelle L.","contributorId":20590,"corporation":false,"usgs":true,"family":"Harbin","given":"Michelle L.","affiliations":[],"preferred":false,"id":476126,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044650,"text":"ofr20131062 - 2013 - Assessing movement and sources of mortality of juvenile catostomids using passive integrated transponder tags, Upper Klamath Lake, Oregon - Summary of 2012 effort","interactions":[],"lastModifiedDate":"2016-05-04T14:47:25","indexId":"ofr20131062","displayToPublicDate":"2013-03-19T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-1062","title":"Assessing movement and sources of mortality of juvenile catostomids using passive integrated transponder tags, Upper Klamath Lake, Oregon - Summary of 2012 effort","docAbstract":"<h1>Executive Summary</h1>\n<p>Survival of juvenile endangered Lost River and shortnose suckers is thought to limit recruitment into the adult populations and ultimately limit the recovery of these species in Upper Klamath Lake, Oregon. Although many hypotheses exist about the sources of mortality, the contribution of each speculated source of mortality has not been examined. To examine causes of mortality, validate estimated age to maturity, and examine movement patterns for juvenile suckers in Upper Klamath Lake, passive integrated transponder (PIT) tags and remote tag detection systems were used. Age-1 suckers were opportunistically tagged in 2009 and 2010 during another study on juvenile sucker distribution. After the distribution study concluded in 2010, USGS redirected sampling efforts to target age-1 suckers for tagging. Tags were redetected using an existing infrastructure of remote PIT tag readers and tag scanning surveys at American white pelican (<i>Pelecanus erythrorhynchos</i>), double-crested cormorant (<i>Phalacrocorax auritus</i>), and Forster&rsquo;s tern (<i>Sterna forsteri</i>) breeding and loafing areas. Individual fish histories are used to describe the distance, direction, and timing of juvenile sucker movement. Sucker PIT tag detections in the Sprague and Williamson Rivers in mid-summer and in autumn indicate tagged juvenile suckers use these tributaries outside of the known spring spawning season. PIT tags detected in bird habitats indicate predation by birds was a cause of mortality.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131062","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Burdick, S.M., 2013, Assessing movement and sources of mortality of juvenile catostomids using passive integrated transponder tags, Upper Klamath Lake, Oregon - Summary of 2012 effort: U.S. Geological Survey Open-File Report 2013-1062, iv, 12 p., https://doi.org/10.3133/ofr20131062.","productDescription":"iv, 12 p.","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2012-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":269702,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1062/"},{"id":269703,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1062/pdf/ofr20131062.pdf","text":"Report","size":"333 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":269704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131062.png"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.0902,42.1979 ], [ -122.0902,42.5936 ], [ -121.733,42.5936 ], [ -121.733,42.1979 ], [ -122.0902,42.1979 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5149830ae4b0971933f63648","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476128,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}