{"pageNumber":"660","pageRowStart":"16475","pageSize":"25","recordCount":40804,"records":[{"id":70045015,"text":"70045015 - 2013 - Approaches to setting organism-based ballast water discharge standards","interactions":[],"lastModifiedDate":"2013-03-27T12:11:39","indexId":"70045015","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Approaches to setting organism-based ballast water discharge standards","docAbstract":"As a vector by which foreign species invade coastal and freshwater waterbodies, ballast water discharge from ships is recognized as a major environmental threat. The International Maritime Organization (IMO) drafted an international treaty establishing ballast water discharge standards based on the number of viable organisms per volume of ballast discharge for different organism size classes. Concerns that the IMO standards are not sufficiently protective have initiated several state and national efforts in the United States to develop more stringent standards. We evaluated seven approaches to establishing discharge standards for the >50-μm size class: (1) expert opinion/management consensus, (2) zero detectable living organisms, (3) natural invasion rates, (4) reaction–diffusion models, (5) population viability analysis (PVA) models, (6) per capita invasion probabilities (PCIP), and (7) experimental studies. Because of the difficulty in synthesizing scientific knowledge in an unbiased and transparent fashion, we recommend the use of quantitative models instead of expert opinion. The actual organism concentration associated with a “zero detectable organisms” standard is defined by the statistical rigor of its monitoring program; thus it is not clear whether such a standard is as stringent as other standards. For several reasons, the natural invasion rate, reaction–diffusion, and experimental approaches are not considered suitable for generating discharge standards. PVA models can be used to predict the likelihood of establishment of introduced species but are limited by a lack of population vital rates for species characteristic of ballast water discharges. Until such rates become available, PVA models are better suited to evaluate relative efficiency of proposed standards rather than predicting probabilities of invasion. The PCIP approach, which is based on historical invasion rates at a regional scale, appears to circumvent many of the indicated problems, although it may underestimate invasions by asexual and parthenogenic species. Further research is needed to better define propagule dose–responses, densities at which Allee effects occur, approaches to predicting the likelihood of invasion from multi-species introductions, and generation of formal comparisons of approaches using standardized scenarios.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Ecological Society of America","publisherLocation":"Ithaca, NY","doi":"10.1890/11-1638.1","usgsCitation":"Lee, H., Reusser, D.A., and Frazier, M., 2013, Approaches to setting organism-based ballast water discharge standards: Ecological Applications, v. 23, no. 2, p. 301-310, https://doi.org/10.1890/11-1638.1.","productDescription":"10 p.","startPage":"301","endPage":"310","ipdsId":"IP-030188","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":270314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270313,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1890/11-1638.1"}],"volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406cfe4b030c71ee06703","contributors":{"authors":[{"text":"Lee, Henry II","contributorId":40334,"corporation":false,"usgs":true,"family":"Lee","given":"Henry","suffix":"II","affiliations":[],"preferred":false,"id":476622,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reusser, Deborah A. dreusser@usgs.gov","contributorId":2423,"corporation":false,"usgs":true,"family":"Reusser","given":"Deborah","email":"dreusser@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":476621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frazier, Melanie","contributorId":59701,"corporation":false,"usgs":true,"family":"Frazier","given":"Melanie","affiliations":[],"preferred":false,"id":476623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045008,"text":"70045008 - 2013 - Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA","interactions":[],"lastModifiedDate":"2013-03-27T12:26:47","indexId":"70045008","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA","docAbstract":"Turbid water conditions make the delineation and characterization of benthic habitats difficult by traditional in situ and remote sensing methods. Here, we develop and validate modeling and sampling methodology for detecting and characterizing seagrass beds by analyzing GPS telemetry records from radio-tagged manatees. Between October 2002 and October 2005, 14 manatees were tracked in the Ten Thousand Islands (TTI) in southwest Florida (USA) using Global Positioning System (GPS) tags. High density manatee use areas were found to occur off each island facing the open, nearshore waters of the Gulf of Mexico. We implemented a spatially stratified random sampling plan and used a camera-based sampling technique to observe and record bottom observations of seagrass and macroalgae presence and abundance. Five species of seagrass were identified in our study area: Halodule wrightii, Thalassia testudinum, Syringodium filiforme, Halophila engelmannii, and Halophila decipiens. A Bayesian model was developed to choose and parameterize a spatial process function that would describe the observed patterns of seagrass and macroalgae. The seagrasses were found in depths <2 m and in the higher manatee use strata, whereas macroalgae was found at moderate densities at all sampled depths and manatee use strata. The manatee spatial data showed a strong association with seagrass beds, a relationship that increased seagrass sampling efficiency. Our camera-based field sampling proved to be effective for assessing seagrass density and spatial coverage under turbid water conditions, and would be an effective monitoring tool to detect changes in seagrass beds.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Ecology Progress Series","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Inter-Research Science Center","publisherLocation":"Lüneburg, Germany","doi":"10.3354/meps10156","usgsCitation":"Slone, D., Reid, J.P., and Kenworthy, W., 2013, Mapping spatial resources with GPS animal telemetry: foraging manatees locate seagrass beds in the Ten Thousand Islands, Florida, USA: Marine Ecology Progress Series, v. 476, p. 285-299, https://doi.org/10.3354/meps10156.","productDescription":"15 p.","startPage":"285","endPage":"299","temporalStart":"2002-10-01","temporalEnd":"2005-10-31","ipdsId":"IP-034057","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps10156","text":"Publisher Index Page"},{"id":270318,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270317,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3354/meps10156"}],"country":"United States","state":"Florida","otherGeospatial":"Ten Thousand Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.52,24.85 ], [ -81.52,25.9 ], [ -80.385,25.9 ], [ -80.385,24.85 ], [ -81.52,24.85 ] ] ] } } ] }","volume":"476","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515406dce4b030c71ee0670b","contributors":{"authors":[{"text":"Slone, Daniel H. 0000-0002-9903-9727 dslone@usgs.gov","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":1749,"corporation":false,"usgs":true,"family":"Slone","given":"Daniel H.","email":"dslone@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":476609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, James P. 0000-0002-8497-1132 jreid@usgs.gov","orcid":"https://orcid.org/0000-0002-8497-1132","contributorId":3460,"corporation":false,"usgs":true,"family":"Reid","given":"James","email":"jreid@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":476610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenworthy, W. Judson","contributorId":6927,"corporation":false,"usgs":true,"family":"Kenworthy","given":"W. Judson","affiliations":[],"preferred":false,"id":476611,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70045006,"text":"70045006 - 2013 - Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management","interactions":[],"lastModifiedDate":"2013-03-27T12:42:45","indexId":"70045006","displayToPublicDate":"2013-03-27T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2059,"text":"International Journal of Molecular Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management","docAbstract":"Invasive species represent an increasing threat to native ecosystems, harming indigenous taxa through predation, habitat modification, cross-species hybridization and alteration of ecosystem processes. Additionally, high economic costs are associated with environmental damage, restoration and control measures. The Burmese python, Python molurus bivittatus, is one of the most notable invasive species in the US, due to the threat it poses to imperiled species and the Greater Everglades ecosystem. To address population structure and relatedness, next generation sequencing was used to rapidly produce species-specific microsatellite loci. The Roche 454 GS-FLX Titanium platform provided 6616 di-, tri- and tetra-nucleotide repeats in 117,516 sequences. Using stringent criteria, 24 of 26 selected tri- and tetra-nucleotide loci were polymerase chain reaction (PCR) amplified and 18 were polymorphic. An additional six cross-species loci were amplified, and the resulting 24 loci were incorporated into eight PCR multiplexes. Multi-locus genotypes yielded an average of 61% (39%–77%) heterozygosity and 3.7 (2–6) alleles per locus. Population-level studies using the developed microsatellites will track the invasion front and monitor population-suppression dynamics. Additionally, cross-species amplification was detected in the invasive Ball, P. regius, and Northern African python, P. sebae. These markers can be used to address the hybridization potential of Burmese pythons and the larger, more aggressive P. sebae.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Molecular Sciences","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"MDPI Publishing (Multidisciplinary Digital Publishing Institute)","publisherLocation":"Basel, Switzerland","doi":"10.3390/ijms14034793","usgsCitation":"Hunter, M., and Hart, K.M., 2013, Rapid microsatellite marker development using next generation pyrosequencing to inform invasive Burmese python -- Python molurus bivittatus -- management: International Journal of Molecular Sciences, v. 14, no. 3, p. 4793-4804, https://doi.org/10.3390/ijms14034793.","productDescription":"12 p.","startPage":"4793","endPage":"4804","ipdsId":"IP-041345","costCenters":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"links":[{"id":473899,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijms14034793","text":"Publisher Index Page"},{"id":270322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270321,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3390/ijms14034793"},{"id":270323,"type":{"id":11,"text":"Document"},"url":"https://www.mdpi.com/1422-0067/14/3/4793/pdf"},{"id":270324,"type":{"id":7,"text":"Companion Files"},"url":"https://www.mdpi.com/1422-0067/14/3/4793/s1"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.0,24.85 ], [ -82.0,27.3 ], [ -80.0,27.3 ], [ -80.0,24.85 ], [ -82.0,24.85 ] ] ] } } ] }","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-02-28","publicationStatus":"PW","scienceBaseUri":"515406e0e4b030c71ee06713","contributors":{"authors":[{"text":"Hunter, Margaret E. 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":4888,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret E.","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":476601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Kristen M. 0000-0002-5257-7974 kristen_hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":1966,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","email":"kristen_hart@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":476600,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70043512,"text":"70043512 - 2013 - Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","interactions":[],"lastModifiedDate":"2013-03-25T11:39:38","indexId":"70043512","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems","docAbstract":"Inhibition of bacterial oxidation of ferrous iron (Fe(II)) by Pb(NO<sub>3</sub>)<sub>2</sub> was investigated with a mixed culture of Acidithiobacillus ferrooxidans. The culture was incubated at 30 °C in ferrous-sulfate medium amended with 0–24.2 mM Pb(II) added as Pb(NO<sub>3</sub>)<sub>2</sub>. Anglesite (PbSO<sub>4</sub>) precipitated immediately upon Pb addition and was the only solid phase detected in the abiotic controls. Both anglesite and jarosite (KFe<sub>3</sub>(SO<sub>4</sub>)<sub>2</sub>(OH)<sub>6</sub>) were detected in inoculated cultures. Precipitation of anglesite maintained dissolved Pb concentrations at 16.9–17.6 μM regardless of the concentrations of Pb(NO<sub>3</sub>)<sub>2</sub> added. Fe(II) oxidation was suppressed by 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition even when anglesite was removed before inoculation. Experiments with 0–48 mM KNO<sub>3</sub> demonstrated that bacterial Fe(II) oxidation decreased as nitrate concentration increased. Therefore, inhibition of Fe(II) oxidation at 24.2 mM Pb(NO<sub>3</sub>)<sub>2</sub> addition resulted from nitrate toxicity instead of Pb addition. Geochemical modeling that considered the initial precipitation of anglesite to equilibrium followed by progressive oxidation of Fe(II) and the precipitation of jarosite and an amorphous iron hydroxide phase, without allowing plumbojarosite to precipitate were consistent with the experimental time-series data on Fe(II) oxidation under biotic conditions. Anglesite precipitation in mine tailings and other sulfate-rich systems maintains dissolved Pb concentrations below the toxicity threshold of A. ferrooxidans.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Hazardous Materials","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.jhazmat.2012.11.004","usgsCitation":"Wang, H., Gong, L., Cravotta, C.A., Yang, X., Tuovinen, O.H., Dong, H., and Fu, X., 2013, Inhibition of bacterial oxidation of ferrous iron by lead nitrate in sulfate-rich systems: Journal of Hazardous Materials, v. 244-245, p. 718-725, https://doi.org/10.1016/j.jhazmat.2012.11.004.","productDescription":"8 p.","startPage":"718","endPage":"725","ipdsId":"IP-041560","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":269991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269990,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jhazmat.2012.11.004"}],"volume":"244-245","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e4e4b087909f0bbe47","contributors":{"authors":[{"text":"Wang, Hongmei","contributorId":47663,"corporation":false,"usgs":true,"family":"Wang","given":"Hongmei","affiliations":[],"preferred":false,"id":473743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gong, Linfeng","contributorId":52467,"corporation":false,"usgs":true,"family":"Gong","given":"Linfeng","email":"","affiliations":[],"preferred":false,"id":473745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III, 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":2193,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III,","email":"cravotta@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":473740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yang, Xiaofen","contributorId":27333,"corporation":false,"usgs":true,"family":"Yang","given":"Xiaofen","email":"","affiliations":[],"preferred":false,"id":473742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tuovinen, Olli H.","contributorId":101165,"corporation":false,"usgs":true,"family":"Tuovinen","given":"Olli","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":473746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dong, Hailiang","contributorId":50802,"corporation":false,"usgs":false,"family":"Dong","given":"Hailiang","affiliations":[{"id":36002,"text":"State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":473744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fu, Xiang","contributorId":25429,"corporation":false,"usgs":true,"family":"Fu","given":"Xiang","email":"","affiliations":[],"preferred":false,"id":473741,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70044992,"text":"ds69F5 - 2013 - Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","interactions":[],"lastModifiedDate":"2013-03-26T13:01:07","indexId":"ds69F5","displayToPublicDate":"2013-03-25T00:00:00","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":"69-F-5","title":"Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","docAbstract":"The Lewis Shale Total Petroleum System (TPS) in the San Juan Basin Province contains a continuous gas accumulation in three distinct stratigraphic units deposited in genetically related depositional environments: offshore-marine shales, mudstones, siltstones, and sandstones of the Lewis Shale, and marginal-marine shoreface sandstones and siltstones of both the La Ventana Tongue and the Chacra Tongue of the Cliff House Sandstone. The Lewis Shale was not a completion target in the San Juan Basin (SJB) in early drilling from about the 1950s through 1990. During that time, only 16 wells were completed in the Lewis from natural fracture systems encountered while drilling for deeper reservoir objectives. In 1991, existing wells that penetrated the Lewis Shale were re-entered by petroleum industry operators in order to fracture-stimulate the Lewis and to add Lewis gas production onto preexisting, and presumably often declining, Mesaverde Group production stratigraphically lower in the section. By 1997, approximately 101 Lewis completions had been made, both as re-entries into existing wells and as add-ons to Mesaverde production in new wells. Based on recent industry drilling and completion practices leading to successful gas production from the Lewis and because new geologic models indicate that the Lewis Shale contains both source rocks and reservoir rocks, the Lewis Shale TPS was defined and evaluated as part of this U.S. Geological Survey oil and gas assessment of the San Juan Basin. Gas in the Lewis Shale Total Petroleum System is produced from shoreface sandstones and siltstones in the La Ventana and Chacra Tongues and from distal facies of these prograding clastic units that extend into marine rocks of the Lewis Shale in the central part of the San Juan Basin. Reservoirs are in shoreface sandstone parasequences of the La Ventana and Chacra and their correlative distal parasequences in the Lewis Shale where both natural and artificially enhanced fractures produce gas. The Lewis Continuous Gas Assessment Unit (AU 50220261) is thought to be self-sourced from and self-sealed by marine shales and mudstones deposited within the Lewis Shale that enclose clastic parasequences in the La Ventana and Chacra Tongues. The gas resource is thought to be a continuous accumulation sourced from the Lewis Shale throughout the depositional basin. In the Lewis Continuous Gas Assessment Unit (AU 50220261), for continuous gas resources, there is an F95 of 8,315.22 billion cubic feet of gas (BCFG) and an F5 of 12,282.31 BCFG, with a mean value of 10,177.24 BCFG. There is an F95 of 18.08 million barrels of natural gas liquids (MMBNGL) and an F5 of 47.32 MMBNGL, with a mean of 30.53 MMBNGL.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado (DS 69-F)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds69F5","collaboration":"This report is Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>","usgsCitation":"Dubiel, R.F., 2013, Geology, sequence stratigraphy, and oil and gas assessment of the Lewis Shale Total Petroleum System, San Juan Basin, New Mexico and Colorado: Chapter 5 in <i>Total petroleum systems and geologic assessment of undiscovered oil and gas resources in the San Juan Basin Province, exclusive of Paleozoic rocks, New Mexico and Colorado</i>: U.S. Geological Survey Data Series 69-F-5, iii, 45 p., https://doi.org/10.3133/ds69F5.","productDescription":"iii, 45 p.","numberOfPages":"49","costCenters":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"links":[{"id":270124,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds69f5.gif"},{"id":270122,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/"},{"id":270123,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov//dds/dds-069/dds-069-f/REPORTS/Chapter5_508.pdf"}],"country":"United States","state":"Colorado;New Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,31.33 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,31.33 ], [ -109.0,31.33 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5152c391e4b01197b08e9ca4","contributors":{"authors":[{"text":"Dubiel, R. F. 0000-0002-1280-0350","orcid":"https://orcid.org/0000-0002-1280-0350","contributorId":41820,"corporation":false,"usgs":true,"family":"Dubiel","given":"R.","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":476580,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70044976,"text":"sim3251 - 2013 - Flood-inundation maps for the White River at Spencer, Indiana","interactions":[],"lastModifiedDate":"2013-03-25T16:53:52","indexId":"sim3251","displayToPublicDate":"2013-03-25T00:00:00","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":"3251","title":"Flood-inundation maps for the White River at Spencer, Indiana","docAbstract":"Digital flood-inundation maps for a 5.3-mile reach of the White River at Spencer, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. 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 the USGS streamgage White River at Spencer, Indiana (sta. no. 03357000). 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/. National Weather Service (NWS)-forecasted peak-stage inforamation may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation. In this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation at the White River at Spencer, Indiana, streamgage and documented high-water marks from the flood of June 8, 2008. The hydraulic model was then used to compute 20 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS action stage (9 feet) to the highest rated stage (28 feet) at the streamgage. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level. The availability of these maps along with Internet information regarding the current stage from the Spencer USGS streamgage and forecasted stream stages from the NWS will provide 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/sim3251","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Nystrom, E.A., 2013, Flood-inundation maps for the White River at Spencer, Indiana: U.S. Geological Survey Scientific Investigations Map 3251, Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; Downloads Directory; ReadMe; Grids; Polygons; Metadata, https://doi.org/10.3133/sim3251.","productDescription":"Pamphlet: vi, 8 p.; 20 Sheets: Low Resolution JPGs; 20 Sheets: 17 x 22 inches; 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,{"id":70044975,"text":"tm6D2 - 2013 - CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","interactions":[],"lastModifiedDate":"2013-03-25T16:12:26","indexId":"tm6D2","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-D2","title":"CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models","docAbstract":"The U.S. Geological Survey Cascade Routing Tool (CRT) is a computer application for watershed models that include the coupled Groundwater and Surface-water FLOW model, GSFLOW, and the Precipitation-Runoff Modeling System (PRMS). CRT generates output to define cascading surface and shallow subsurface flow paths for grid-based model domains. CRT requires a land-surface elevation for each hydrologic response unit (HRU) of the model grid; these elevations can be derived from a Digital Elevation Model raster data set of the area containing the model domain. Additionally, a list is required of the HRUs containing streams, swales, lakes, and other cascade termination features along with indices that uniquely define these features. Cascade flow paths are determined from the altitudes of each HRU. Cascade paths can cross any of the four faces of an HRU to a stream or to a lake within or adjacent to an HRU. Cascades can terminate at a stream, lake, or HRU that has been designated as a watershed outflow location.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6D2","collaboration":"Groundwater Resources Program; This report is Chapter 2 of Section D: Ground-Water/Surface-Water in Book 6: <i>Modeling Techniques</i>","usgsCitation":"Henson, W., Medina, R.L., Mayers, C.J., Niswonger, R., and Regan, R., 2013, CRT--Cascade Routing Tool to define and visualize flow paths for grid-based watershed models: U.S. Geological Survey Techniques and Methods 6-D2, Pamphlet: vii, 28 p.; Software, https://doi.org/10.3133/tm6D2.","productDescription":"Pamphlet: vii, 28 p.; Software","additionalOnlineFiles":"Y","costCenters":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":270035,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/tm6D2.jpg"},{"id":270034,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://water.usgs.gov/ogw/CRT/"},{"id":270032,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/tm/tm6d2/"},{"id":270033,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/tm6d2/pdf/tm6-D2.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163d2e4b087909f0bbe2b","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":96561,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley R.","affiliations":[],"preferred":false,"id":476548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina, Rose L. 0000-0002-3463-7224 rlmedina@usgs.gov","orcid":"https://orcid.org/0000-0002-3463-7224","contributorId":4378,"corporation":false,"usgs":true,"family":"Medina","given":"Rose","email":"rlmedina@usgs.gov","middleInitial":"L.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayers, C. Justin cjmayers@usgs.gov","contributorId":94745,"corporation":false,"usgs":true,"family":"Mayers","given":"C.","email":"cjmayers@usgs.gov","middleInitial":"Justin","affiliations":[],"preferred":false,"id":476547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G.","contributorId":45402,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","affiliations":[],"preferred":false,"id":476545,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R.S.","contributorId":51794,"corporation":false,"usgs":true,"family":"Regan","given":"R.S.","email":"","affiliations":[],"preferred":false,"id":476546,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044971,"text":"fs20133009 - 2013 - Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","interactions":[],"lastModifiedDate":"2016-07-14T13:56:17","indexId":"fs20133009","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3009","title":"Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time","docAbstract":"<p>The Ecosystem Dynamics Branch of the Fort Collins Science Center offers an interdisciplinary team of talented and creative scientists with expertise in biology, botany, ecology, geology, biogeochemistry, physical sciences, geographic information systems, and remote-sensing, for tackling complex questions about natural resources. As demand for natural resources increases, the issues facing natural resource managers, planners, policy makers, industry, and private landowners are increasing in spatial and temporal scope, often involving entire regions, multiple jurisdictions, and long timeframes. Needs for addressing these issues include (1) a better understanding of biotic and abiotic ecosystem components and their complex interactions; (2) the ability to easily monitor, assess, and visualize the spatially complex movements of animals, plants, water, and elements across highly variable landscapes; and (3) the techniques for accurately predicting both immediate and long-term responses of system components to natural and human-caused change. The overall objectives of our research are to provide the knowledge, tools, and techniques needed by the U.S. Department of the Interior, state agencies, and other stakeholders in their endeavors to meet the demand for natural resources while conserving biodiversity and ecosystem services. Ecosystem Dynamics scientists use field and laboratory research, data assimilation, and ecological modeling to understand ecosystem patterns, trends, and mechanistic processes. This information is used to predict the outcomes of changes imposed on species, habitats, landscapes, and climate across spatiotemporal scales. The products we develop include conceptual models to illustrate system structure and processes; regional baseline and integrated assessments; predictive spatial and mathematical models; literature syntheses; and frameworks or protocols for improved ecosystem monitoring, adaptive management, and program evaluation. The descriptions in this fact sheet provide snapshots of our three research emphases, followed by descriptions of select current projects.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133009","usgsCitation":"Bowen, Z.H., Melcher, C.P., and Wilson, J.T., 2013, Fort Collins Science Center Ecosystem Dynamics branch--interdisciplinary research for addressing complex natural resource issues across landscapes and time: U.S. Geological Survey Fact Sheet 2013-3009, 4 p., https://doi.org/10.3133/fs20133009.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":270011,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3009/FS13-3009.pdf"},{"id":270012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133009.gif"},{"id":270010,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3009/"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515163e2e4b087909f0bbe3f","contributors":{"authors":[{"text":"Bowen, Zachary H. 0000-0002-8656-1831 bowenz@usgs.gov","orcid":"https://orcid.org/0000-0002-8656-1831","contributorId":821,"corporation":false,"usgs":true,"family":"Bowen","given":"Zachary","email":"bowenz@usgs.gov","middleInitial":"H.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melcher, Cynthia P. 0000-0002-8044-9689 melcherc@usgs.gov","orcid":"https://orcid.org/0000-0002-8044-9689","contributorId":5094,"corporation":false,"usgs":true,"family":"Melcher","given":"Cynthia","email":"melcherc@usgs.gov","middleInitial":"P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":476536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Juliette T.","contributorId":86439,"corporation":false,"usgs":true,"family":"Wilson","given":"Juliette","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":476537,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70042980,"text":"70042980 - 2013 - Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","interactions":[],"lastModifiedDate":"2013-04-20T20:21:43","indexId":"70042980","displayToPublicDate":"2013-03-25T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA","docAbstract":"Tidal-signal attenuations are analyzed to compute hydraulic diffusivities and estimate regional hydraulic conductivities of the Northern Guam Lens Aquifer, Territory of Guam (Pacific Ocean), USA. The results indicate a significant tidal-damping effect at the coastal boundary. Hydraulic diffusivities computed using a simple analytical solution for well responses to tidal forcings near the periphery of the island are two orders of magnitude lower than for wells in the island’s interior. Based on assigned specific yields of ~0.01–0.4, estimated hydraulic conductivities are ~20–800 m/day for peripheral wells, and ~2,000–90,000 m/day for interior wells. The lower conductivity of the peripheral rocks relative to the interior rocks may best be explained by the effects of karst evolution: (1) dissolutional enhancement of horizontal hydraulic conductivity in the interior; (2) case-hardening and concurrent reduction of local hydraulic conductivity in the cliffs and steeply inclined rocks of the periphery; and (3) the stronger influence of higher-conductivity regional-scale features in the interior relative to the periphery. A simple numerical model calibrated with measured water levels and tidal response estimates values for hydraulic conductivity and storage parameters consistent with the analytical solution. The study demonstrates how simple techniques can be useful for characterizing regional aquifer properties.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Hydrogeology Journal","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Springer","publisherLocation":"http://www.springer.com","doi":"10.1007/s10040-012-0949-9","usgsCitation":"Rotzoll, K., Gingerich, S.B., Jenson, J.W., and El-Kadi, A.I., 2013, Estimating hydraulic properties from tidal attenuation in the Northern Guam Lens Aquifer, territory of Guam, USA: Hydrogeology Journal, v. 21, no. 3, p. 643-654, https://doi.org/10.1007/s10040-012-0949-9.","productDescription":"12 p.","startPage":"643","endPage":"654","ipdsId":"IP-038920","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":270019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270018,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10040-012-0949-9"}],"country":"Guam","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 144.618381,13.246191 ], [ 144.618381,13.654225 ], [ 144.956536,13.654225 ], [ 144.956536,13.246191 ], [ 144.618381,13.246191 ] ] ] } } ] }","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2013-01-15","publicationStatus":"PW","scienceBaseUri":"515163dee4b087909f0bbe33","contributors":{"authors":[{"text":"Rotzoll, Kolja 0000-0002-5910-888X kolja@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-888X","contributorId":3325,"corporation":false,"usgs":true,"family":"Rotzoll","given":"Kolja","email":"kolja@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":false,"id":472725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":472724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenson, John W.","contributorId":23112,"corporation":false,"usgs":true,"family":"Jenson","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":472726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El-Kadi, Aly I.","contributorId":41702,"corporation":false,"usgs":true,"family":"El-Kadi","given":"Aly","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":472727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70044920,"text":"70044920 - 2013 - Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams","interactions":[],"lastModifiedDate":"2022-12-27T16:40:06.750716","indexId":"70044920","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams","docAbstract":"A revolution in analytical instrumentation circa 1920 greatly improved the ability to characterize chemical substances. This analytical foundation resulted in an unprecedented explosion in the design and production of synthetic chemicals during and post-World War II. What is now often referred to as the 2nd Chemical Revolution has provided substantial societal benefits; with modern chemical design and manufacturing supporting dramatic advances in medicine, increased food production, and expanding gross domestic products at the national and global scales as well as improved health, longevity, and lifestyle convenience at the individual scale. Presently, the chemical industry is the largest manufacturing sector in the United States (U.S.) and the second largest in Europe and Japan, representing approximately 5% of the Gross Domestic Product (GDP) in each of these countries. At the turn of the 21st century, the chemical industry was estimated to be worth more than $1.6 trillion and to employ over 10 million people, globally.\n\nDuring the first half of the 20th century, the chemical sector expanded rapidly, the chemical industry enjoyed a generally positive status in society, and chemicals were widely appreciated as fundamental to individual and societal quality of life. Starting in the 1960s, however, the environmental costs associated with the chemical industry increasingly became the focus, due in part to the impact of books like “Silent Spring” and “Our Stolen Future” and to a number of highly publicized environmental disasters. Galvanizing chemical industry disasters included the 1976 dioxin leak north of Milan, Italy, the Love Canal evacuations in Niagara, New York beginning in 1978, and the Union Carbide leak in Bhopal, India in 1984.\n\nUnderstanding the environmental impact of synthetic compounds is essential to any informed assessment of net societal benefit, for the simple reason that any chemical substance that is in commercial production or use will eventually find its way to the environment. Not surprisingly given the direct link to profits, manufacturers intensely investigate and routinely document the potential benefits of new chemicals and chemical products. In contrast, the environmental risks associated with chemical production and uses are often investigated less intensely and are poorly communicated.\n\nAn imbalance in the risk-benefit analysis of any synthetic chemical substance or naturally occurring chemical, which presence and concentration in the environment largely reflects human activities and management, is a particular concern owing to the fundamental link between chemistry and biology. Biological organisms are intrinsically a homeostatic balance of innumerable internal and external chemical interactions and, thus, inherently sensitive to changes in the external chemical environment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/54337","usgsCitation":"Bradley, P.M., and Kolpin, D.W., 2013, Managing the effects of endocrine disrupting chemicals in wastewater-impacted streams, chap. 1 <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 3-26, https://doi.org/10.5772/54337.","productDescription":"24 p.","startPage":"3","endPage":"26","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":473901,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/54337","text":"Publisher Index Page"},{"id":269957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"51501261e4b08df5cb1312d9","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476470,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"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":70040653,"text":"70040653 - 2013 - Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants","interactions":[],"lastModifiedDate":"2021-03-29T17:55:20.653981","indexId":"70040653","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Elevated CO<sub>2</sub> does not offset greater water stress predicted under climate change for native and exotic riparian plants","title":"Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants","docAbstract":"<ul class=\"unordered-list\"><li>In semiarid western North American riparian ecosystems, increased drought and lower streamflows under climate change may reduce plant growth and recruitment, and favor drought‐tolerant exotic species over mesic native species. We tested whether elevated atmospheric CO<sub>2</sub><span>&nbsp;</span>might ameliorate these effects by improving plant water‐use efficiency.</li><li>We examined the effects of CO<sub>2</sub><span>&nbsp;</span>and water availability on seedlings of two native (<i>Populus deltoides</i><span>&nbsp;</span>spp.<span>&nbsp;</span><i>monilifera</i>,<i><span>&nbsp;</span>Salix exigua</i>) and three exotic (<i>Elaeagnus angustifolia</i>,<i><span>&nbsp;</span>Tamarix</i><span>&nbsp;</span>spp.,<span>&nbsp;</span><i>Ulmus pumila</i>) western North American riparian species in a CO<sub>2</sub>‐controlled glasshouse, using 1‐m‐deep pots with different water‐table decline rates.</li><li>Low water availability reduced seedling biomass by 70–97%, and hindered the native species more than the exotics. Elevated CO<sub>2</sub><span>&nbsp;</span>increased biomass by 15%, with similar effects on natives and exotics. Elevated CO<sub>2</sub><span>&nbsp;</span>increased intrinsic water‐use efficiency (Δ<sup>13</sup>C<sub>leaf</sub>), but did not increase biomass more in drier treatments than wetter treatments.</li><li>The moderate positive effects of elevated CO<sub>2</sub><span>&nbsp;</span>on riparian seedlings are unlikely to counteract the large negative effects of increased aridity projected under climate change. Our results suggest that increased aridity will reduce riparian seedling growth despite elevated CO<sub>2</sub>, and will reduce growth more for native<span>&nbsp;</span><i>Salix</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Populus</i><span>&nbsp;</span>than for drought‐tolerant exotic species.</li></ul>","language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/nph.12030","usgsCitation":"Perry, L., Shafroth, P.B., Blumenthal, D.M., Morgan, J.A., and LeCain, D.R., 2013, Elevated CO2 does not offset greater water stress predicted under climate change for native and exotic riparian plants: New Phytologist, v. 197, no. 2, p. 532-543, https://doi.org/10.1111/nph.12030.","productDescription":"12 p.","startPage":"532","endPage":"543","ipdsId":"IP-042005","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":269973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"197","issue":"2","noUsgsAuthors":false,"publicationDate":"2012-11-21","publicationStatus":"PW","scienceBaseUri":"51501260e4b08df5cb1312d1","contributors":{"authors":[{"text":"Perry, Laura G.","contributorId":45565,"corporation":false,"usgs":true,"family":"Perry","given":"Laura G.","affiliations":[],"preferred":false,"id":468725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":468723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blumenthal, Dana M.","contributorId":83411,"corporation":false,"usgs":true,"family":"Blumenthal","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":468727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Jack A.","contributorId":66982,"corporation":false,"usgs":true,"family":"Morgan","given":"Jack","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":468726,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeCain, Daniel R.","contributorId":15090,"corporation":false,"usgs":true,"family":"LeCain","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":468724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70041593,"text":"70041593 - 2013 - Demographic patterns in the peacock grouper (<i>Cephalopholis argus</i>), an introduced Hawaiian reef fish","interactions":[],"lastModifiedDate":"2016-08-31T16:23:56","indexId":"70041593","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Demographic patterns in the peacock grouper (<i>Cephalopholis argus</i>), an introduced Hawaiian reef fish","docAbstract":"<p><span>This study took advantage of a unique opportunity to collect large sample sizes of a coral reef fish species across a range of physical and biological features of the Hawaiian Archipelago to investigate variability in the demography of an invasive predatory coral reef fish,&nbsp;</span><i class=\"EmphasisTypeItalic \">Cephalopholis argus</i><span>&nbsp;(Family: Epinephelidae). Age-based demographic analyses were conducted at 10 locations in the main Hawaiian Islands and estimates of weight-at-length, size-at-age, and longevity were compared among locations. Each metric differed among locations, although patterns were not consistent across metrics. Length-weight relationships for&nbsp;</span><i class=\"EmphasisTypeItalic \">C. argus</i><span>&nbsp;differed among locations and individuals weighed less at a given length at Hilo, the southernmost location studied. Longevity differed among and within islands and was greater at locations on Maui and Hawaii compared to the more northern locations on Oahu and Kauai. Within-island growth patterns differed at Kauai, Oahu, and Hawaii. This work provides a case study of fundamental life history information from distant and/or spatially limited locations that are critical for developing robust fishery models. The differences observed both among and within islands indicate that variability may be driven by cross-scale mechanisms that need to be considered in fisheries stock assessments and ecosystem-based management.</span></p>","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10641-012-0095-1","usgsCitation":"Donovan, M.K., Friedlander, A.M., DeMartini, E.E., Donahue, M.J., and Williams, I.D., 2013, Demographic patterns in the peacock grouper (<i>Cephalopholis argus</i>), an introduced Hawaiian reef fish: Environmental Biology of Fishes, v. 96, no. 8, p. 981-994, https://doi.org/10.1007/s10641-012-0095-1.","productDescription":"14 p.","startPage":"981","endPage":"994","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040241","costCenters":[],"links":[{"id":473904,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10125/101295","text":"External 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K.","contributorId":78219,"corporation":false,"usgs":true,"family":"Donovan","given":"Mary","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":469962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedlander, Alan M. afriedlander@usgs.gov","contributorId":53079,"corporation":false,"usgs":true,"family":"Friedlander","given":"Alan","email":"afriedlander@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":469959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeMartini, Edward E.","contributorId":56364,"corporation":false,"usgs":true,"family":"DeMartini","given":"Edward","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":469960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donahue, Megan J.","contributorId":22648,"corporation":false,"usgs":true,"family":"Donahue","given":"Megan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":469958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, Ivor D.","contributorId":64530,"corporation":false,"usgs":true,"family":"Williams","given":"Ivor","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":469961,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70044922,"text":"70044922 - 2013 - Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2022-12-27T16:43:54.0106","indexId":"70044922","displayToPublicDate":"2013-03-24T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"6","title":"Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California","docAbstract":"Nitrate contamination of groundwater systems used for human water supplies is a major environmental problem in many parts of the world. Fertilizers containing a variety of reduced nitrogen compounds are commonly added to soils to increase agricultural yields. But the amount of nitrogen added during fertilization typically exceeds the amount of nitrogen taken up by crops. Oxidation of reduced nitrogen compounds present in residual fertilizers can produce substantial amounts of nitrate which can be transported to the underlying water table. Because nitrate concentrations exceeding 10 mg/L in drinking water can have a variety of deleterious effects for humans, agriculturally derived nitrate contamination of groundwater can be a serious public health issue.\n\nThe Central Valley aquifer of California accounts for 13 percent of all the groundwater withdrawals in the United States. The Central Valley, which includes the San Joaquin Valley, is one of the most productive agricultural areas in the world and much of this groundwater is used for crop irrigation. However, rapid urbanization has led to increasing groundwater withdrawals for municipal public water supplies. That, in turn, has led to concern about how contaminants associated with agricultural practices will affect the chemical quality of groundwater in the San Joaquin Valley. Crop fertilization with various forms of nitrogen-containing compounds can greatly increase agricultural yields. However, leaching of nitrate from soils due to irrigation has led to substantial nitrate contamination of shallow groundwater. That shallow nitrate-contaminated groundwater has been moving deeper into the Central Valley aquifer since the 1960s. Denitrification can be an important process limiting the mobility of nitrate in groundwater systems. However, substantial denitrification requires adequate sources of electron donors in order to drive the process. In many cases, dissolved organic carbon (DOC) and particulate organic carbon (POC) are the primary electron donors driving active denitrification in groundwater. The purpose of this chapter is to use a numerical mass balance modeling approach to quantitatively compare sources of electron donors (DOC, POC) and electron acceptors (dissolved oxygen, nitrate, and ferric iron) in order to assess the potential for denitrification to attenuate nitrate migration in the Central Valley aquifer.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Current perspectives in contaminant hydrology and water resources sustainability","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/53652","usgsCitation":"Chapelle, F.H., Campbell, B.G., Widdowson, M.A., and Landon, M.K., 2013, Modeling the long-term fate of agricultural nitrate in groundwater in the San Joaquin Valley, California, chap. 6 <i>of</i> Current perspectives in contaminant hydrology and water resources sustainability, p. 151-167, https://doi.org/10.5772/53652.","productDescription":"17 p.","startPage":"151","endPage":"167","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":473905,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5772/53652","text":"Publisher Index Page"},{"id":269963,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.39180782283782,\n              37.831343892420776\n            ],\n            [\n              -121.39180782283782,\n              37.37396546986268\n            ],\n            [\n              -120.64955102989776,\n              37.37396546986268\n            ],\n            [\n              -120.64955102989776,\n              37.831343892420776\n            ],\n            [\n              -121.39180782283782,\n              37.831343892420776\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2013-02-27","publicationStatus":"PW","scienceBaseUri":"51501262e4b08df5cb1312dd","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell, Bruce G. 0000-0003-4800-6674 bcampbel@usgs.gov","orcid":"https://orcid.org/0000-0003-4800-6674","contributorId":995,"corporation":false,"usgs":true,"family":"Campbell","given":"Bruce","email":"bcampbel@usgs.gov","middleInitial":"G.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":476477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Landon, Mathew K. 0000-0002-5766-0494","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":49254,"corporation":false,"usgs":true,"family":"Landon","given":"Mathew","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":476476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"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":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":70044743,"text":"sim3246 - 2013 - Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","interactions":[],"lastModifiedDate":"2013-03-21T16:12:53","indexId":"sim3246","displayToPublicDate":"2013-03-21T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3246","title":"Flood-inundation maps for the Iroquois River at Rensselaer, Indiana","docAbstract":"Digital flood-inundation maps for a 4.0-mile reach of the Iroquois River at Rensselaer, Indiana (Ind.), were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Department of Transportation. The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind. Current conditions for estimating near-real-time areas of inundation using USGS streamgage information may be obtained on the Internet at (http://waterdata.usgs.gov/in/nwis/uv?site_no=05522500). In addition, the National Weather Service (NWS) forecasts flood hydrographs at the Rensselaer streamgage. That forecasted peak-stage information, also available on the Internet (http://water.weather.gov/ahps/), may be used in conjunction with the maps developed in this study to show predicted areas of flood inundation.\n\nFor this study, flood profiles were computed for the Iroquois River reach by means of a one-dimensional step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the most current (June 27, 2012) stage-discharge relations at USGS streamgage 05522500, Iroquois River at Rensselaer, Ind., and high-water marks from the flood of July 2003. The calibrated hydraulic model was then used to determine nine water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from bankfull to the highest stage of the current stage-discharge rating curve. The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from Light Detection and Ranging (LiDAR) data) in order to delineate the area flooded at each water level.\n\nThe availability of these maps, along with Internet information regarding current stage from the USGS streamgage at Rensselaer, Ind., and forecasted stream stages from the NWS, provides emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3246","collaboration":"Prepared in cooperation with the Indiana Department of Transportation","usgsCitation":"Fowler, K.K., and Bunch, A.R., 2013, Flood-inundation maps for the Iroquois River at Rensselaer, Indiana: U.S. Geological Survey Scientific Investigations Map 3246, Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory, https://doi.org/10.3133/sim3246.","productDescription":"Maps: 9 Sheets; 22 x 17 inches; Pamphlet: vi, 8 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":269870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3246.png"},{"id":269868,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3246/SIM3246_map_sheets_pdf"},{"id":269869,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3246/Downloads"},{"id":269866,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3246/"},{"id":269867,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3246/pdf/SIM3246.pdf"}],"country":"United States","state":"Indiana","city":"Rensselaer","otherGeospatial":"Iroquois River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -87.216667,40.55 ], [ -87.216667,40.966667 ], [ -87.1,40.966667 ], [ -87.1,40.55 ], [ -87.216667,40.55 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"514c1ddde4b0cf4196fef2d5","contributors":{"authors":[{"text":"Fowler, Kathleen K. 0000-0002-0107-3848 kkfowler@usgs.gov","orcid":"https://orcid.org/0000-0002-0107-3848","contributorId":2439,"corporation":false,"usgs":true,"family":"Fowler","given":"Kathleen","email":"kkfowler@usgs.gov","middleInitial":"K.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476278,"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":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":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":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":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":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":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":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}]}}
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