Short-finned pilot whales (Globicephala macrorhynchus) are among the most common cetaceans to engage in mass strandings in the southeastern United States. Because these are primarily pelagic, continental shelf-edge animals, much of what is known about this species has derived from mass stranding events. Post-release monitoring via satellite-linked telemetry was conducted with two adult males determined on-site to be healthy, and released directly from a mass stranding of 23 pilot whales in May 2011, near Cudjoe Key, Florida. Tracking provided an opportunity to evaluate the decision for immediate release vs rehabilitation, and to learn more about the lives of members of this difficult-to-study species in the wild. The two pilot whales remained together for at least 16 d before transmissions from one pilot whale (Y-404) ceased. Dive patterns and travel rates suggested that Y-404’s condition deteriorated prior to signal loss. Pilot Whale Y-400 was tracked for another 51 d, moving from the Blake Plateau to the Greater Antilles, remaining in the Windward Passage east of Cuba for the last 17 d of tracking. Once he reached the Antilles, Y-400 remained in high-relief habitat appropriate for the species and made dives within or exceeding the reported range for depth and duration for this species, following expected diel patterns, presumably reflecting continued good health. Telemetry data indicate that he made at least one dive to 1,000 to 1,500 m, and several dives lasted more than 40 min. Although the fates of the two released pilot whales may have been different, the concept of evaluating health and releasing individuals determined to be healthy at the time of stranding appears to have merit as an alternative to bringing all members of mass-stranded pilot whale groups into rehabilitation.
","language":"English","publisher":"European Association for Aquatic Mammals","doi":"10.1578/AM.39.1.2013.61","usgsCitation":"Wells, R.S., Fougeres, E.M., Cooper, A.G., Stevens, R.O., Brodsky, M., Lingenfelser, R., Dold, C., and Douglas, D.C., 2013, Movements and dive patterns of short-finned pilot whales (Globicephala macrorhynchus) released from a mass stranding in the Florida Keys: Aquatic Mammals, v. 39, no. 1, p. 61-72, https://doi.org/10.1578/AM.39.1.2013.61.","productDescription":"12 p.","startPage":"61","endPage":"72","ipdsId":"IP-043263","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":269562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-03-01","publicationStatus":"PW","scienceBaseUri":"5146d7dbe4b0694ee75ad3d4","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fougeres, Erin M.","contributorId":52057,"corporation":false,"usgs":true,"family":"Fougeres","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":476007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Arthur G.","contributorId":41308,"corporation":false,"usgs":true,"family":"Cooper","given":"Arthur","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":476006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Robert O.","contributorId":66566,"corporation":false,"usgs":true,"family":"Stevens","given":"Robert","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":476008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brodsky, Micah","contributorId":34401,"corporation":false,"usgs":true,"family":"Brodsky","given":"Micah","email":"","affiliations":[],"preferred":false,"id":476005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lingenfelser, Robert","contributorId":7155,"corporation":false,"usgs":true,"family":"Lingenfelser","given":"Robert","email":"","affiliations":[],"preferred":false,"id":476004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dold, Chris","contributorId":77015,"corporation":false,"usgs":true,"family":"Dold","given":"Chris","affiliations":[],"preferred":false,"id":476009,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476003,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70044611,"text":"70044611 - 2013 - Patterns of social association in the franciscana, Pontoporia blainvillei","interactions":[],"lastModifiedDate":"2013-10-23T13:17:59","indexId":"70044611","displayToPublicDate":"2013-03-17T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of social association in the franciscana, Pontoporia blainvillei","docAbstract":"Little is known from living animals about the social patterns of the franciscana, Pontoporia blainvillei, a small dolphin inhabiting a narrow strip of coastal waters off Argentina, Uruguay, and Brazil. These dolphins tend to be found in small groups, typically composed of two or three individuals (Bordino et al. 1999). Throughout much of the species' range, franciscanas encounter artisanal gill nets (Praderi 1989, Corcuera et al. 1994, Bertozzi and Zerbini 2002, Bordino et al. 2002, Secchi et al. 2003). Entanglement in these nets results in the deaths of thousands of individuals each year, at levels that are likely unsustainable (Bordino and Albareda 2004, Cappozzo et al. 2007).","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Marine Mammal Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/mms.12010","usgsCitation":"Wells, R.S., Bordino, P., and Douglas, D.C., 2013, Patterns of social association in the franciscana, Pontoporia blainvillei: Marine Mammal Science, v. 29, no. 4, p. E520-E528, https://doi.org/10.1111/mms.12010.","productDescription":"9 p.","startPage":"E520","endPage":"E528","numberOfPages":"9","ipdsId":"IP-042202","costCenters":[{"id":115,"text":"Alaska Science Center Biology","active":false,"usgs":true}],"links":[{"id":269559,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269558,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/mms.12010"}],"volume":"29","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-01-17","publicationStatus":"PW","scienceBaseUri":"5146d7dce4b0694ee75ad3d8","contributors":{"authors":[{"text":"Wells, Randall S.","contributorId":81773,"corporation":false,"usgs":true,"family":"Wells","given":"Randall","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":476001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bordino, Pablo","contributorId":93355,"corporation":false,"usgs":true,"family":"Bordino","given":"Pablo","email":"","affiliations":[],"preferred":false,"id":476002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":476000,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044626,"text":"sir20135002 - 2013 - Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","interactions":[],"lastModifiedDate":"2013-03-16T11:20:42","indexId":"sir20135002","displayToPublicDate":"2013-03-16T00:00:00","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":"2013-5002","title":"Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10","docAbstract":"The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, used the Soil and Water Assessment Tool to simulate streamflow and nitrate loads within the Cedar River Basin, Iowa. The goal was to assess the ability of the Soil and Water Assessment Tool to estimate streamflow and nitrate loads in gaged and ungaged basins in Iowa. The Cedar River Basin model uses measured streamflow data from 12 U.S. Geological Survey streamflow-gaging stations for hydrology calibration. The U.S. Geological Survey software program, Load Estimator, was used to estimate annual and monthly nitrate loads based on measured nitrate concentrations and streamflow data from three Iowa Department of Natural Resources Storage and Retrieval/Water Quality Exchange stations, located throughout the basin, for nitrate load calibration. The hydrology of the model was calibrated for the period of January 1, 2000, to December 31, 2004, and validated for the period of January 1, 2005, to December 31, 2010. Simulated daily, monthly, and annual streamflow resulted in Nash-Sutcliffe coefficient of model efficiency (ENS) values ranging from 0.44 to 0.83, 0.72 to 0.93, and 0.56 to 0.97, respectively, and coefficient of determination (R2) values ranging from 0.55 to 0.87, 0.74 to 0.94, and 0.65 to 0.99, respectively, for the calibration period. The percent bias ranged from -19 to 10, -16 to 10, and -19 to 10 for daily, monthly, and annual simulation, respectively. The validation period resulted in daily, monthly, and annual ENS values ranging from 0.49 to 0.77, 0.69 to 0.91, and -0.22 to 0.95, respectively; R2 values ranging from 0.59 to 0.84, 0.74 to 0.92, and 0.36 to 0.92, respectively; and percent bias ranging from -16 for all time steps to percent bias of 14, 15, and 15, respectively.\n\nThe nitrate calibration was based on a small subset of the locations used in the hydrology calibration with limited measured data. Model performance ranges from unsatisfactory to very good for the calibration period (January 1, 2000, to December 31, 2004). Results for the validation period (January 1, 2005, to December 31, 2010) indicate a need for an increase of measured data as well as more refined documented management practices at a higher resolution. Simulated nitrate loads resulted in monthly and annual ENS values ranging from 0.28 to 0.82 and 0.61 to 0.86, respectively, and monthly and annual R2 values ranging from 0.65 to 0.81 and 0.65 to 0.88, respectively, for the calibration period. The monthly and annual calibration percent bias ranged from 4 to 7 and 5 to 7, respectively. The validation period resulted in all but two ENS values less than zero. Monthly and annual validation R2 values ranged from 0.5 to 0.67 and 0.25 to 0.48, respectively. Monthly and annual validation percent bias ranged from 46 to 68 for both time steps. A daily calibration and validation for nitrate loads was not performed because of the poor monthly and annual results; measured daily nitrate data are available for intervals of time in 2009 and 2010 during which a successful monthly and annual calibration could not be achieved.\n\nThe Cedar River Basin is densely gaged relative to other basins in Iowa; therefore, an alternative hydrology scenario was created to assess the predictive capabilities of the Soil and Water Assessment Tool using fewer locations of measured data for model hydrology calibration. Although the ability of the model to reproduce measured values improves with the number of calibration locations, results indicate that the Soil and Water Assessment Tool can be used to adequately estimate streamflow in less densely gaged basins throughout the State, especially at the monthly time step. However, results also indicate that caution should be used when calibrating a subbasin that consists of physically distinct regions based on only one streamflow-gaging station.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135002","collaboration":"Prepared in cooperation with the Iowa Department of Natural Resources","usgsCitation":"Hutchinson, K.J., and Christiansen, D.E., 2013, Use of the Soil and Water Assessment Tool (SWAT) for simulating hydrology and water quality in the Cedar River Basin, Iowa, 2000--10: U.S. Geological Survey Scientific Investigations Report 2013-5002, v, 36 p., https://doi.org/10.3133/sir20135002.","productDescription":"v, 36 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2000-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-029808","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":269437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135002.gif"},{"id":269435,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5002/"},{"id":269436,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5002/sir13_5002.pdf"}],"country":"United States","state":"Iowa","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -96.64,40.38 ], [ -96.64,43.5 ], [ -90.14,43.5 ], [ -90.14,40.38 ], [ -96.64,40.38 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51458659e4b0c47b5d322a6f","contributors":{"authors":[{"text":"Hutchinson, Kasey J. khutchin@usgs.gov","contributorId":4223,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Kasey","email":"khutchin@usgs.gov","middleInitial":"J.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christiansen, Daniel E. 0000-0001-6108-2247 dechrist@usgs.gov","orcid":"https://orcid.org/0000-0001-6108-2247","contributorId":366,"corporation":false,"usgs":true,"family":"Christiansen","given":"Daniel","email":"dechrist@usgs.gov","middleInitial":"E.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":476038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180387,"text":"70180387 - 2013 - Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","interactions":[],"lastModifiedDate":"2018-08-07T14:31:33","indexId":"70180387","displayToPublicDate":"2013-03-15T14:31:17","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS","docAbstract":"Water samples were collected from six small rivers in the Yukon River basin in central Alaska to examine the role of colloids and organic matter in the transport of trace elements in Northern high latitude watersheds influenced by permafrost. Concentrations of dissolved organic carbon (DOC), selected elements (Al, Si, Ca, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Rb, Sr, Ba, Pb, U), and UV-absorbance spectra were measured in 0.45 μm filtered samples. ‘Nanocolloidal size distributions’ (0.5–40 nm, hydrodynamic diameter) of humic-type and chromophoric dissolved organic matter (CDOM), Cr, Mn, Fe, Co, Ni, Cu, Zn, and Pb were determined by on-line coupling of flow field-flow fractionation (FFF) to detectors including UV-absorbance, fluorescence, and ICP-MS. Total dissolved and nanocolloidal concentrations of the elements varied considerably between the rivers and between spring flood and late summer base flow. Data on specific UV-absorbance (SUVA), spectral slopes, and the nanocolloidal fraction of the UV-absorbance indicated a decrease in aromaticity and size of CDOM from spring flood to late summer. The nanocolloidal size distributions indicated the presence of different ‘components’ of nanocolloids. ‘Fulvic-rich nanocolloids’ had a hydrodynamic diameter of 0.5–3 nm throughout the sampling season; ‘organic/iron-rich nanocolloids’ occurred in the <8 nm size range during the spring flood; whereas ‘iron-rich nanocolloids’ formed a discrete 4–40 nm components during summer base flow. Mn, Co, Ni, Cu and Zn were distributed between the nanocolloid components depending on the stability constant of the metal (+II)–organic complexes, while stronger association of Cr to the iron-rich nanocolloids was attributed to the higher oxidation states of Cr (+III or +IV). Changes in total dissolved element concentrations, size and composition of CDOM, and occurrence and size of organic/iron and iron-rich nanocolloids were related to variations in their sources from either the upper organic-rich soil or the deeper mineral layer, depending on seasonal variations in hydrological flow patterns and permafrost dynamics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2012.11.018","usgsCitation":"Stolpe, B., Guo, L., Shiller, A.M., and Aiken, G.R., 2013, Abundance, size distributions and trace-element binding of organic and iron-rich nanocolloids in Alaskan rivers, as revealed by field-flow fractionation and ICP-MS: Geochimica et Cosmochimica Acta, v. 105, p. 221-239, https://doi.org/10.1016/j.gca.2012.11.018.","productDescription":"19 p.","startPage":"221","endPage":"239","ipdsId":"IP-035129","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":356296,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -152,\n 63.5\n ],\n [\n -144,\n 63.5\n ],\n [\n -144,\n 66\n ],\n [\n -152,\n 66\n ],\n [\n -152,\n 63.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fd361e4b0f5d57878edae","contributors":{"authors":[{"text":"Stolpe, Bjorn","contributorId":178895,"corporation":false,"usgs":false,"family":"Stolpe","given":"Bjorn","email":"","affiliations":[],"preferred":false,"id":661488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guo, Laodong","contributorId":176753,"corporation":false,"usgs":false,"family":"Guo","given":"Laodong","email":"","affiliations":[],"preferred":false,"id":741904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shiller, Alan M.","contributorId":100709,"corporation":false,"usgs":true,"family":"Shiller","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":741905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":661487,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043490,"text":"70043490 - 2013 - MODIS-informed greenness responsesto daytime land surface temperaturefluctuations and wildfire disturbancesin the Alaskan Yukon River Basin","interactions":[],"lastModifiedDate":"2024-06-13T16:31:29.714489","indexId":"70043490","displayToPublicDate":"2013-03-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"MODIS-informed greenness responsesto daytime land surface temperaturefluctuations and wildfire disturbancesin the Alaskan Yukon River Basin","docAbstract":"Pronounced climate warming and increased wildfire disturbances are known to modify forest composition and control the evolution of the boreal ecosystem over the Yukon River Basin (YRB) in interior Alaska. In this study, we evaluate the post-fire green-up rate using the normalized difference vegetation index (NDVI) derived from 250 m 7 day eMODIS (an alternative and application-ready type of Moderate Resolution Imaging Spectroradiometer (MODIS) data) acquired between 2000 and 2009. Our analyses indicate measureable effects on NDVI values from vegetation type, burn severity, post-fire time, and climatic variables. The NDVI observations from both fire scars and unburned areas across the Alaskan YRB showed a tendency of an earlier start to the growing season (GS); the annual variations in NDVI were significantly correlated to daytime land surface temperature (LST) fluctuations; and the rate of post-fire green-up depended mainly on burn severity and the time of post-fire succession. The higher average NDVI values for the study period in the fire scars than in the unburned areas between 1950 and 2000 suggest that wildfires enhance post-fire greenness due to an increase in post-fire evergreen and deciduous species components","language":"English","publisher":"Taylor & Francis","publisherLocation":"London, UK","doi":"10.1080/01431161.2012.742215","usgsCitation":"Tan, Z., Liu, S., Jenkerson, C.B., Oeding, J., Wylie, B.K., Rover, J.R., and Young, C.J., 2013, MODIS-informed greenness responsesto daytime land surface temperaturefluctuations and wildfire disturbancesin the Alaskan Yukon River Basin: International Journal of Remote Sensing, v. 34, no. 6, p. 2187-2199, https://doi.org/10.1080/01431161.2012.742215.","productDescription":"13 p.","startPage":"2187","endPage":"2199","numberOfPages":"13","additionalOnlineFiles":"N","ipdsId":"IP-029373","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":268264,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -163.45,62.2 ], [ -163.45,68.97 ], [ -141.26,68.97 ], [ -141.26,62.2 ], [ -163.45,62.2 ] ] ] } } ] }","volume":"34","issue":"6","noUsgsAuthors":false,"publicationDate":"2012-11-26","publicationStatus":"PW","scienceBaseUri":"512c9613e4b0855fde6697d2","contributors":{"authors":[{"text":"Tan, Zhengxi 0000-0002-4136-0921 ztan@usgs.gov","orcid":"https://orcid.org/0000-0002-4136-0921","contributorId":2945,"corporation":false,"usgs":true,"family":"Tan","given":"Zhengxi","email":"ztan@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":473702,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Shu-Guang sliu@usgs.gov","contributorId":984,"corporation":false,"usgs":true,"family":"Liu","given":"Shu-Guang","email":"sliu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkerson, Calli B. 0000-0002-3780-9175 jenkerson@usgs.gov","orcid":"https://orcid.org/0000-0002-3780-9175","contributorId":469,"corporation":false,"usgs":true,"family":"Jenkerson","given":"Calli","email":"jenkerson@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oeding, Jennifer joeding@usgs.gov","contributorId":4070,"corporation":false,"usgs":true,"family":"Oeding","given":"Jennifer","email":"joeding@usgs.gov","affiliations":[],"preferred":true,"id":473703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":473698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rover, Jennifer R. 0000-0002-3437-4030 jrover@usgs.gov","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":2941,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"jrover@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":false,"id":473701,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Claudia J. 0000-0002-0859-7206 cyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-0859-7206","contributorId":2770,"corporation":false,"usgs":true,"family":"Young","given":"Claudia","email":"cyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":473700,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70043912,"text":"cir1384 - 2013 - Progress toward establishing a national assessment of water availability and use","interactions":[],"lastModifiedDate":"2017-03-29T12:08:23","indexId":"cir1384","displayToPublicDate":"2013-03-15T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1384","title":"Progress toward establishing a national assessment of water availability and use","docAbstract":"The Omnibus Public Land Management Act of 2009 (Public Law 111-11) was passed into law on March 30, 2009. Subtitle F, also known as the SECURE Water Act, calls for the establishment of a \"national water availability and use assessment program\" within the U.S. Geological Survey (USGS). A major driver for this recommendation was that national water availability and use have not been comprehensively assessed since 1978. This report fulfills a requirement to report to Congress on progress in implementing the national water availability and use assessment program, also referred to as the National Water Census. The SECURE Water Act authorized \\$20 million for each of fiscal years (FY) 2009 through 2023 for assessment of national water availability and use. The first appropriation for this effort was \\$4 million in FY 2011, followed by an appropriation of \\$6 million in FY 2012. The National Water Census synthesizes and reports information at the regional and national scales, with an emphasis on compiling and reporting the information in a way that is useful to states and others responsible for water management and natural-resource issues. The USGS works with Federal and non-Federal agencies, universities, and other organizations to ensure that the information can be aggregated with other types of water-availability and socioeconomic information, such as data on food and energy production. To maximize the utility of the information, the USGS coordinates the design and development of the effort through the Federal Advisory Committee on Water Information. A National Water Census is a complex undertaking, particularly because there are major gaps in the information needed to conduct such an assessment. To maximize progress, the USGS engaged stakeholders in a discussion of priorities and leveraged existing studies and program activities to enhance efforts toward the development of a National Water Census.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1384","usgsCitation":"Alley, W., Evenson, E.J., Barber, N.L., Bruce, B.W., Dennehy, K.F., Freeman, M., Freeman, W.O., Fischer, J., Hughes, W.B., Kennen, J., Kiang, J.E., Maloney, K.O., Musgrove, M., Ralston, B.E., Tessler, S., and Verdin, J.P., 2013, Progress toward establishing a national assessment of water availability and use: U.S. Geological Survey Circular 1384, vi, 36 p., https://doi.org/10.3133/cir1384.","productDescription":"vi, 36 p.","numberOfPages":"44","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":449,"text":"National Water Census","active":false,"usgs":true}],"links":[{"id":270523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/cir1384.png"},{"id":267955,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1384/support/c1384.pdf"},{"id":267956,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/circ/1384/"}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 173.0,16.916667 ], [ 173.0,71.833333 ], [ -66.95,71.833333 ], [ -66.95,16.916667 ], [ 173.0,16.916667 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"515d4f6ce4b0803bd2eec53d","contributors":{"authors":[{"text":"Alley, William M.","contributorId":93030,"corporation":false,"usgs":true,"family":"Alley","given":"William M.","affiliations":[],"preferred":false,"id":474464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evenson, Eric J. eevenson@usgs.gov","contributorId":4072,"corporation":false,"usgs":true,"family":"Evenson","given":"Eric","email":"eevenson@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":474461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barber, Nancy L. 0000-0002-2952-5017 nlbarber@usgs.gov","orcid":"https://orcid.org/0000-0002-2952-5017","contributorId":3679,"corporation":false,"usgs":true,"family":"Barber","given":"Nancy","email":"nlbarber@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruce, Breton W. 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wbhughes@usgs.gov","orcid":"https://orcid.org/0000-0001-5087-0889","contributorId":399,"corporation":false,"usgs":true,"family":"Hughes","given":"William","email":"wbhughes@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":474449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":474451,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":474457,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":474462,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Musgrove, MaryLynn","contributorId":34878,"corporation":false,"usgs":true,"family":"Musgrove","given":"MaryLynn","affiliations":[],"preferred":false,"id":474463,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ralston, Barbara E. 0000-0001-9991-8994 bralston@usgs.gov","orcid":"https://orcid.org/0000-0001-9991-8994","contributorId":606,"corporation":false,"usgs":true,"family":"Ralston","given":"Barbara","email":"bralston@usgs.gov","middleInitial":"E.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true}],"preferred":false,"id":474452,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tessler, Steven stessler@usgs.gov","contributorId":3772,"corporation":false,"usgs":true,"family":"Tessler","given":"Steven","email":"stessler@usgs.gov","affiliations":[],"preferred":true,"id":474460,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Verdin, James P. 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":720,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","middleInitial":"P.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":474453,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70044918,"text":"70044918 - 2013 - Current perspectives in contaminant hydrology and water resources sustainability","interactions":[],"lastModifiedDate":"2018-08-15T15:02:53","indexId":"70044918","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Current perspectives in contaminant hydrology and water resources sustainability","docAbstract":"Human society depends on liquid freshwater resources to meet drinking, sanitation and hygiene, agriculture, and industry needs. Improved resource monitoring and better understanding of the anthropogenic threats to freshwater environments are critical to efficient management of freshwater resources and ultimately to the survival and quality of life of the global human population. This book helps address the need for improved freshwater resource monitoring and threat assessment by presenting current reviews and case studies focused on the fate and transport of contaminants in the environment and on the sustainability of groundwater and surface-water resources around the world. It is intended for students and professionals working in hydrology and water resources management.","language":"English","publisher":"InTech","publisherLocation":"Rijeka, Croatia","doi":"10.5772/47884","usgsCitation":"Bradley, P.M., 2013, Current perspectives in contaminant hydrology and water resources sustainability, 333 p., https://doi.org/10.5772/47884.","productDescription":"333 p.","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":269955,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269954,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.5772/47884"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51502072e4b08df5cb131323","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":476468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044606,"text":"ds709V - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Uruzgan mineral district in Afghanistan: Chapter V in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-03-14T20:50:12","indexId":"ds709V","displayToPublicDate":"2013-03-14T00:00:00","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":"V","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Uruzgan mineral district in Afghanistan: Chapter V in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts 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 Uruzgan mineral district, which has tin and tungsten 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. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were 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. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced 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 Uruzgan) and the WGS84 datum. The final image mosaics were subdivided into eight overlapping tiles or quadrants because of the large size of the target area. The eight image tiles (or quadrants) for the Uruzgan 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/ds709V","collaboration":"Prepared in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations and the Afghanistan Geological Survey","usgsCitation":"Davis, P.A., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Uruzgan mineral district in Afghanistan: Chapter V in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, HTML Document; Readme; 4 Index Maps: 66 x 59 inches; 16 Image Files; 16 Metadata; 1 Shapefile, https://doi.org/10.3133/ds709V.","productDescription":"HTML Document; Readme; 4 Index Maps: 66 x 59 inches; 16 Image Files; 16 Metadata; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":269393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds709v.png"},{"id":269389,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/v/index_maps/index_maps.html"},{"id":269390,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/v/image_files/image_files.html"},{"id":269391,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/v/metadata/metadata.html"},{"id":269392,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/v/shapefiles/shapefiles.html"},{"id":269387,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/v/"},{"id":269388,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/v/1_readme.txt"}],"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":"5142e35ae4b073a963ff6531","contributors":{"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":475992,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70044605,"text":"sir20105090D - 2013 - Porphyry copper assessment of Southeast Asia and Melanesia: Chapter D in Global mineral resource assessment","interactions":[{"subject":{"id":70044605,"text":"sir20105090D - 2013 - Porphyry copper assessment of Southeast Asia and Melanesia: Chapter D in Global mineral resource assessment","indexId":"sir20105090D","publicationYear":"2013","noYear":false,"chapter":"D","title":"Porphyry copper assessment of Southeast Asia and Melanesia: Chapter D in Global mineral resource assessment"},"predicate":"IS_PART_OF","object":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"id":1}],"isPartOf":{"id":70040436,"text":"sir20105090 - 2010 - Global mineral resource assessment","indexId":"sir20105090","publicationYear":"2010","noYear":false,"title":"Global mineral resource assessment"},"lastModifiedDate":"2019-12-30T14:13:54","indexId":"sir20105090D","displayToPublicDate":"2013-03-14T00:00:00","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":"2010-5090","chapter":"D","title":"Porphyry copper assessment of Southeast Asia and Melanesia: Chapter D in Global mineral resource assessment","docAbstract":"The U.S. Geological Survey collaborated with member countries of the Coordinating Committee for Geoscience Programmes in East and Southeast Asia (CCOP) on an assessment of the porphyry copper resources of Southeast Asia and Melanesia as part of a global mineral resource assessment. The region hosts world-class porphyry copper deposits and underexplored areas that are likely to contain undiscovered deposits. Examples of known porphyry copper deposits include Batu Hijau and Grasberg in Indonesia; Panguna, Frieda River, and Ok Tedi in Papua New Guinea; and Namosi in Fiji.
\nThis assessment covers the countries of Cambodia, Indonesia, Lao People’s Democratic Republic, Malaysia, Myanmar, Papua New Guinea, Singapore, Thailand, and parts of southeastern China, India, the Solomon Islands, Vanuatu, and Fiji. Twenty-two geographic areas were delineated as tracts that are permissive for porphyry copper deposits in Southeast Asia. Permissive tracts are grouped into four broadly defined geographic/geologic areas, as follows: (1) the Indochina Peninsula area, (2) Indonesian and Malaysian Islands, (3) New Guinea Island and Papuan New Guinea islands, and (4) Melanesia. Individual tracts range from less than 1,000 to more than 350,000 square kilometers in area. Permissive tracts are based on mapped and inferred subsurface (<1 kilometer depth) distributions of igneous rocks of specific age ranges that define magmatic arcs and magmatic belts that are likely to contain porphyry copper deposits. Most of these magmatic arcs are subduction-related, although some have porphyry-style deposits occurring in postcollisional and (or) poorly understood tectonic settings. Although maps at a variety of different scales were used in the compilation, the final tract boundaries are intended for use at a scale of 1:1,000,000.
\nGlobal grade and tonnage models for porphyry copper deposits were evaluated. Most of the known deposits are best described as fitting the copper-gold (Cu-Au) subtype of porphyry copper deposit. For some permissive tracts, a general porphyry copper-gold-molybdenum (Cu-Au-Mo) model was used. Assessment participants estimated numbers of undiscovered deposits at different levels of confidence for most of the permissive tracts. These estimates were combined with grade and tonnage models using a Monte Carlo simulation to estimate undiscovered resources. Additional resources in extensions of deposits with identified resources were not evaluated.
\nAssessment results, presented in tables and graphs, show mean amounts of metal and mineralized rock in undiscovered deposits at different quantile levels, as well as the arithmetic mean for each tract. This assessment estimated a mean of 89 undiscovered porphyry copper deposits for the assessed permissive tracts in Southeast Asia and Melanesia. About 288 million metric tons (Mt) of copper and 18,000 metric tons (t) of gold, as well as byproduct molybdenum and silver, could be associated with undiscovered deposits. This represents about four times the number of deposits with identified resources (23) already discovered in Southeast Asia; reliable reported identified resources for those 23 deposits total 84 Mt of copper and 6,000 t of gold. Eleven permissive tracts have no known porphyry copper deposits with reported resources. Three of those 11 tracts lacked sufficient information for a probabilistic assessment and are discussed in qualitative terms.
\nOn a regional basis, both the Indochina Peninsula area and the Indonesian-Malaysian Islands area are estimated to contain about 10 times as much in place copper in undiscovered porphyry copper deposits as has been identified to date. For the New Guinea Island areas, the ratio of undiscovered to identified copper resources is about 2. Some parts of the region have a long history of porphyry exploration cycles and mine development, interrupted at times by political and social unrest, environmental concerns, and natural disasters. Changes in mining laws within the region and the recent high price of gold on the world market have prompted renewed interest in porphyry copper deposits in Southeast Asia and Melanesia. However, predicted undiscovered deposits may not be found, and if found, may not be developed.
\nThis assessment includes an overview of the assessment results with summary tables. Detailed descriptions of each tract are included in appendixes, with estimates of numbers of undiscovered deposits, and probabilistic estimates of amounts of copper, molybdenum, gold, and silver that could be contained in undiscovered deposits for each permissive tract. A geographic information system (GIS) that accompanies the report includes tract boundaries and a database of known porphyry copper deposits and significant prospects.
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Declining water levels, deteriorating water quality, and increasing use of groundwater resources by municipal, industrial, and agricultural water users on both sides of the international border have raised concerns about the long-term availability of this supply. Water quantity and quality are determining and limiting factors that ultimately control agriculture, future economic development, population growth, human health, and ecological conditions along the border. Knowledge about the extent, depletion rates, and quality of transboundary aquifers, however, is limited and, in some areas, completely absent.\n\nThe U.S. – Mexico Transboundary Aquifer Assessment Act (Public Law 109-448), referred to in this report as “the Act,” was signed into law by the President of the United States on December 22, 2006, to conduct binational scientific research to systematically assess priority transboundary aquifers and to address water information needs of border communities. The Act authorizes the Secretary of the Interior, through the U.S. Geological Survey (USGS), to collaborate with the States of Arizona, New Mexico, and Texas through their Water Resources Research Institutes (WRRIs) and with the International Boundary and Water Commission (IBWC), stakeholders, and Mexican counterparts to provide new information and a scientific foundation for State and local officials to address pressing water-resource challenges along the U.S. – Mexico border.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131059","usgsCitation":"2013, Five-year interim report of the United States-Mexico Transboundary Aquifer Assessment Program: 2007--2012: U.S. Geological Survey Open-File Report 2013-1059, iii, 31 p., https://doi.org/10.3133/ofr20131059.","productDescription":"iii, 31 p.","startPage":"i","endPage":"31","numberOfPages":"34","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2012-12-31","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":269355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131059.gif"},{"id":269354,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1059/pdf/ofr2013-1059.pdf"},{"id":269353,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1059/"}],"country":"United States;Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -118.36,14.53 ], [ -118.36,37.0 ], [ -94.0,37.0 ], [ -94.0,14.53 ], [ -118.36,14.53 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e359e4b073a963ff652d","contributors":{"editors":[{"text":"Alley, William M. walley@usgs.gov","contributorId":1661,"corporation":false,"usgs":true,"family":"Alley","given":"William","email":"walley@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":725889,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}} ,{"id":70044581,"text":"70044581 - 2013 - Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","interactions":[],"lastModifiedDate":"2013-03-14T14:03:34","indexId":"70044581","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana","docAbstract":"Coastal wetlands are losing elevation worldwide, so that techniques to increase elevation such as sediment amendment might benefit these wetlands. This study examined the potential of sediment amendment to raise elevation and support the production and regeneration of vegetation in coastal forests in Louisiana. Before sediment amendment, the vegetation did not differ in these Taxodium distichum–Nyssa aquatica forests with respect to herbaceous and tree seedling composition, and sapling and tree characteristics. After the application of sediment in January 2007, sediment-amended swamps had higher elevations and salinity levels than natural swamps. The layer of sediment applied to Treasure Island in Jean Lafitte National Historic Park and Preserve was relatively deep (sediment depth at Site One and Site Two: 0.89 and 0.69 m, respectively, six months after application), and may have exceeded an optimal threshold. Sediment-amended swamp with the highest elevation had some tree mortality and little tree growth of T. distichum. Also, sediment-amended swamp had higher root biomasses of ruderal species, and lower species richness and cover of herbaceous species. Nevertheless, during controlled water releases during an oil spill emergency in 2010, both sediment-amended and reference forest had higher production levels than in other years. While sediment amendment is a compelling management alternative for sinking coastal wetlands, optimal thresholds were not determined for these T. distichum–N. aquatica swamps.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ecological Engineering","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecoleng.2013.01.025","usgsCitation":"Middleton, B.A., and Jiang, M., 2013, Use of sediment amendments to rehabilitate sinking coastal swamp forests in Louisiana: Ecological Engineering, v. 54, p. 183-191, https://doi.org/10.1016/j.ecoleng.2013.01.025.","productDescription":"9 p.","startPage":"183","endPage":"191","ipdsId":"IP-038627","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269314,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecoleng.2013.01.025"}],"country":"United States","state":"Louisiana","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.0434,28.9254 ], [ -94.0434,33.0195 ], [ -88.8162,33.0195 ], [ -88.8162,28.9254 ], [ -94.0434,28.9254 ] ] ] } } ] }","volume":"54","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35fe4b073a963ff6541","contributors":{"authors":[{"text":"Middleton, Beth A. 0000-0002-1220-2326 middletonb@usgs.gov","orcid":"https://orcid.org/0000-0002-1220-2326","contributorId":2029,"corporation":false,"usgs":true,"family":"Middleton","given":"Beth","email":"middletonb@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":475907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jiang, Ming","contributorId":83770,"corporation":false,"usgs":true,"family":"Jiang","given":"Ming","email":"","affiliations":[],"preferred":false,"id":475908,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044582,"text":"70044582 - 2013 - Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","interactions":[],"lastModifiedDate":"2013-03-14T14:16:03","indexId":"70044582","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression","docAbstract":"Understanding plant community zonation along estuarine stress gradients is critical for effective conservation and restoration of coastal wetland ecosystems. We related the presence of plant community types to estuarine hydrology at 173 sites across coastal Louisiana. Percent relative cover by species was assessed at each site near the end of the growing season in 2008, and hourly water level and salinity were recorded at each site Oct 2007–Sep 2008. Nine plant community types were delineated with k-means clustering, and indicator species were identified for each of the community types with indicator species analysis. An inverse relation between salinity and species diversity was observed. Canonical correspondence analysis (CCA) effectively segregated the sites across ordination space by community type, and indicated that salinity and tidal amplitude were both important drivers of vegetation composition. Multinomial logistic regression (MLR) and Akaike's Information Criterion (AIC) were used to predict the probability of occurrence of the nine vegetation communities as a function of salinity and tidal amplitude, and probability surfaces obtained from the MLR model corroborated the CCA results. The weighted kappa statistic, calculated from the confusion matrix of predicted versus actual community types, was 0.7 and indicated good agreement between observed community types and model predictions. Our results suggest that models based on a few key hydrologic variables can be valuable tools for predicting vegetation community development when restoring and managing coastal wetlands.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Estuarine, Coastal and Shelf Science","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.ecss.2012.12.002","usgsCitation":"Snedden, G., and Steyer, G.D., 2013, Predictive occurrence models for coastal wetland plant communities: delineating hydrologic response surfaces with multinomial logistic regression: Estuarine, Coastal and Shelf Science, v. 118, p. 11-23, https://doi.org/10.1016/j.ecss.2012.12.002.","productDescription":"13 p.","startPage":"11","endPage":"23","ipdsId":"IP-033792","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":269352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269315,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.ecss.2012.12.002"}],"volume":"118","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35ee4b073a963ff653d","chorus":{"doi":"10.1016/j.ecss.2012.12.002","url":"http://dx.doi.org/10.1016/j.ecss.2012.12.002","publisher":"Elsevier BV","authors":"Snedden Gregg A., Steyer Gregory D.","journalName":"Estuarine, Coastal and Shelf Science","publicationDate":"2/2013","auditedOn":"11/1/2014"},"contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":17338,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":475910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steyer, Gregory D. 0000-0001-7231-0110 steyerg@usgs.gov","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":2856,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","email":"steyerg@usgs.gov","middleInitial":"D.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":475909,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044604,"text":"70044604 - 2013 - Worldwide phylogenetic relationship of avian poxviruses","interactions":[],"lastModifiedDate":"2020-09-11T18:54:21.350931","indexId":"70044604","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2497,"text":"Journal of Virology","active":true,"publicationSubtype":{"id":10}},"title":"Worldwide phylogenetic relationship of avian poxviruses","docAbstract":"Poxvirus infections have been found in 230 species of wild and domestic birds worldwide in both terrestrial and marine environments. This ubiquity raises the question of how infection has been transmitted and globally dispersed. We present a comprehensive global phylogeny of 111 novel poxvirus isolates in addition to all available sequences from GenBank. Phylogenetic analysis of the Avipoxvirus genus has traditionally relied on one gene region (4b core protein). In this study we expanded the analyses to include a second locus (DNA polymerase gene), allowing for a more robust phylogenetic framework, finer genetic resolution within specific groups, and the detection of potential recombination. Our phylogenetic results reveal several major features of avipoxvirus evolution and ecology and propose an updated avipoxvirus taxonomy, including three novel subclades. The characterization of poxviruses from 57 species of birds in this study extends the current knowledge of their host range and provides the first evidence of the phylogenetic effect of genetic recombination of avipoxviruses. The repeated occurrence of avian family or order-specific grouping within certain clades (e.g., starling poxvirus, falcon poxvirus, raptor poxvirus, etc.) indicates a marked role of host adaptation, while the sharing of poxvirus species within prey-predator systems emphasizes the capacity for cross-species infection and limited host adaptation. Our study provides a broad and comprehensive phylogenetic analysis of the Avipoxvirus genus, an ecologically and environmentally important viral group, to formulate a genome sequencing strategy that will clarify avipoxvirus taxonomy.
","language":"English","publisher":"ASM Press","publisherLocation":"Washington, D.C.","doi":"10.1128/JVI.03183-12","usgsCitation":"Gyuranecz, M., Foster, J., Dan, A., Ip, S., Egstad, K.F., Parker, P., Higashiguchi, J.M., Skinner, M.A., Höfle, U., Kreizinger, Z., Dorrestein, G.M., Solt, S., Sos, E., Kim, Y.J., Uhart, M., Pereda, A., Gonzalez-Hein, G., Hidalgo, H., Blanco, J., and Erdelyi, K., 2013, Worldwide phylogenetic relationship of avian poxviruses: Journal of Virology, v. 87, no. 9, p. 4938-4951, https://doi.org/10.1128/JVI.03183-12.","productDescription":"14 p.","startPage":"4938","endPage":"4951","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041490","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":473917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jvi.03183-12","text":"Publisher Index Page"},{"id":269395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"87","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e360e4b073a963ff6545","contributors":{"authors":[{"text":"Gyuranecz, Miklos","contributorId":104363,"corporation":false,"usgs":true,"family":"Gyuranecz","given":"Miklos","email":"","affiliations":[],"preferred":false,"id":475979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foster, Jeffrey T.","contributorId":8744,"corporation":false,"usgs":true,"family":"Foster","given":"Jeffrey T.","affiliations":[],"preferred":false,"id":475963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dan, Adam","contributorId":40098,"corporation":false,"usgs":true,"family":"Dan","given":"Adam","email":"","affiliations":[],"preferred":false,"id":475967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":475961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Egstad, Kristina F. 0000-0002-2755-6098 kegstad@usgs.gov","orcid":"https://orcid.org/0000-0002-2755-6098","contributorId":5120,"corporation":false,"usgs":true,"family":"Egstad","given":"Kristina","email":"kegstad@usgs.gov","middleInitial":"F.","affiliations":[],"preferred":true,"id":475962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Patricia G.","contributorId":38269,"corporation":false,"usgs":true,"family":"Parker","given":"Patricia G.","affiliations":[],"preferred":false,"id":475966,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Higashiguchi, Jenni M.","contributorId":106396,"corporation":false,"usgs":true,"family":"Higashiguchi","given":"Jenni","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475980,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Skinner, Michael A.","contributorId":53256,"corporation":false,"usgs":true,"family":"Skinner","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":475969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Höfle, Ursula","contributorId":26943,"corporation":false,"usgs":true,"family":"Höfle","given":"Ursula","affiliations":[],"preferred":false,"id":475964,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kreizinger, Zsuzsa","contributorId":102352,"corporation":false,"usgs":true,"family":"Kreizinger","given":"Zsuzsa","email":"","affiliations":[],"preferred":false,"id":475978,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dorrestein, Gerry M.","contributorId":99849,"corporation":false,"usgs":true,"family":"Dorrestein","given":"Gerry","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":475976,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Solt, Szabolcs","contributorId":85857,"corporation":false,"usgs":true,"family":"Solt","given":"Szabolcs","email":"","affiliations":[],"preferred":false,"id":475975,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sos, Endre","contributorId":29282,"corporation":false,"usgs":true,"family":"Sos","given":"Endre","email":"","affiliations":[],"preferred":false,"id":475965,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Kim, Young Jun","contributorId":76612,"corporation":false,"usgs":true,"family":"Kim","given":"Young","email":"","middleInitial":"Jun","affiliations":[],"preferred":false,"id":475973,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Uhart, Marcela","contributorId":54482,"corporation":false,"usgs":true,"family":"Uhart","given":"Marcela","email":"","affiliations":[],"preferred":false,"id":475970,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pereda, Ariel","contributorId":50422,"corporation":false,"usgs":true,"family":"Pereda","given":"Ariel","email":"","affiliations":[],"preferred":false,"id":475968,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Gonzalez-Hein, Gisela","contributorId":101534,"corporation":false,"usgs":true,"family":"Gonzalez-Hein","given":"Gisela","email":"","affiliations":[],"preferred":false,"id":475977,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Hidalgo, Hector","contributorId":84233,"corporation":false,"usgs":true,"family":"Hidalgo","given":"Hector","email":"","affiliations":[],"preferred":false,"id":475974,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Blanco, Juan-Manuel","contributorId":73886,"corporation":false,"usgs":true,"family":"Blanco","given":"Juan-Manuel","email":"","affiliations":[],"preferred":false,"id":475972,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Erdelyi, Karoly","contributorId":66979,"corporation":false,"usgs":true,"family":"Erdelyi","given":"Karoly","email":"","affiliations":[],"preferred":false,"id":475971,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70044602,"text":"70044602 - 2013 - Cold-seep habitat mapping: high-resolution spatial characterization of the Blake Ridge Diapir seep field","interactions":[],"lastModifiedDate":"2013-06-17T08:56:59","indexId":"70044602","displayToPublicDate":"2013-03-14T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1371,"text":"Deep-Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Cold-seep habitat mapping: high-resolution spatial characterization of the Blake Ridge Diapir seep field","docAbstract":"Relationships among seep community biomass, diversity, and physiographic controls such as underlying geology are not well understood. Previous efforts to constrain these relationships at the Blake Ridge Diapir were limited to observations from piloted deep-submergence vehicles. In August 2012, the autonomous underwater vehicle (AUV) Sentry collected geophysical and photographic data over a 0.131 km2 area at the Blake Ridge Diapir seeps. A nested survey approach was used that began with a regional or reconnaissance-style survey using sub-bottom mapping systems to locate and identify seeps and underlying conduits. This survey was followed by AUV-mounted sidescan sonar and multibeam echosounder systems mapping on a mesoscale to characterize the seabed physiography. At the most detailed survey level, digital photographic imaging was used to resolve sub-meter characteristics of the biology. Four pockmarks (25–70 m diameter) were documented, each supporting chemosynthetic communities. Concentric zonation of mussels and clams suggests the influence of chemical gradients on megafaunal distribution. Data collection and analytical techniques used here yield high-resolution habitat maps that can serve as baselines to constrain temporal evolution of seafloor seeps, and to inform ecological niche modeling and resource management.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Deep-Sea Research Part II: Topical Studies in Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr2.2013.02.008","usgsCitation":"Wagner, J.K., McEntee, M.H., Brothers, L., German, C., Kaiser, C.L., Yoerger, D.R., and Van Dover, C.L., 2013, Cold-seep habitat mapping: high-resolution spatial characterization of the Blake Ridge Diapir seep field: Deep-Sea Research Part II: Topical Studies in Oceanography, v. 92, p. 183-188, https://doi.org/10.1016/j.dsr2.2013.02.008.","productDescription":"6 p.","startPage":"183","endPage":"188","ipdsId":"IP-042820","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":269357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269356,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.dsr2.2013.02.008"}],"otherGeospatial":"Blake Ridge Diapir","volume":"92","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e34fe4b073a963ff6529","contributors":{"authors":[{"text":"Wagner, Jamie K.S.","contributorId":91766,"corporation":false,"usgs":true,"family":"Wagner","given":"Jamie","email":"","middleInitial":"K.S.","affiliations":[],"preferred":false,"id":475957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEntee, Molly H.","contributorId":73083,"corporation":false,"usgs":true,"family":"McEntee","given":"Molly","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":475955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brothers, Laura L.","contributorId":96132,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","affiliations":[],"preferred":false,"id":475958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"German, Christopher R.","contributorId":68190,"corporation":false,"usgs":true,"family":"German","given":"Christopher R.","affiliations":[],"preferred":false,"id":475954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaiser, Carl L.","contributorId":78216,"corporation":false,"usgs":true,"family":"Kaiser","given":"Carl","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":475956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yoerger, Dana R.","contributorId":25428,"corporation":false,"usgs":true,"family":"Yoerger","given":"Dana","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":475952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Van Dover, Cindy Lee","contributorId":26205,"corporation":false,"usgs":true,"family":"Van Dover","given":"Cindy","email":"","middleInitial":"Lee","affiliations":[],"preferred":false,"id":475953,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044596,"text":"sir20135028 - 2013 - Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","interactions":[],"lastModifiedDate":"2013-03-15T09:15:21","indexId":"sir20135028","displayToPublicDate":"2013-03-14T00:00:00","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":"2013-5028","title":"Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11","docAbstract":"Historical mining activity in the Tri-State Mining District (TSMD), located in parts of southeast Kansas, southwest Missouri, and northeast Oklahoma, has resulted in a substantial ongoing input of cadmium, lead, and zinc to the environment. To provide some of the information needed to support remediation efforts in the Cherokee County, Kansas, superfund site, a 4-year study was begun in 2009 by the U.S. Geological Survey that was requested and funded by the U.S. Environmental Protection Agency. A combination of surficial-soil sampling and coring was used to investigate the occurrence and variability of mining-related lead and zinc in the flood plains of the Spring River and several tributaries within the superfund site. Lead- and zinc-contaminated flood plains are a concern, in part, because they represent a long-term source of contamination to the fluvial environment.\n\nLead and zinc contamination was assessed with reference to probable-effect concentrations (PECs), which represent the concentrations above which adverse aquatic biological effects are likely to occur. The general PECs for lead and zinc were 128 and 459 milligrams per kilogram, respectively. The TSMD-specific PECs for lead and zinc were 150 and 2,083 milligrams per kilogram, respectively.\n\nTypically, surficial soils in the Spring River flood plain had lead and zinc concentrations that were less than the general PECs. Lead and zinc concentrations in the surficial-soil samples were variable with distance downstream and with distance from the Spring River channel, and the largest lead and zinc concentrations usually were located near the channel. Lead and zinc concentrations larger than the general or TSMD-specific PECs, or both, were infrequent at depth in the Spring River flood plain. When present, such contamination typically was confined to the upper 2 feet of the core and frequently was confined to the upper 6 inches.\n\nTributaries with few or no lead- and zinc-mined areas in the basin—Brush Creek, Cow Creek, and Shawnee Creek—generally had flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) that were substantially less than the general PECs. Tributaries with extensive lead- and zinc-mined areas in the basin—Shoal Creek, Short Creek, Spring Branch, Tar Creek, Turkey Creek, and Willow Creek—had flood-plain lead concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general and TSMD-specific PECs. Likewise, the tributaries with extensive lead- and zinc-mined areas in the basin had flood-plain zinc concentrations (surficial soil, 6- and 12-inch depth) that frequently or typically exceeded the general PEC. With the exception of Shoal and Willow Creeks, zinc concentrations typically exceeded the TSMD-specific PEC. The largest flood-plain lead and zinc concentrations (surficial soil, 6- and 12-inch depth) were measured for Short and Tar Creeks. Lead and zinc concentrations in the surficial-soil samples collected from the tributary flood plains varied longitudinally in relation to sources of mining-contaminated sediment in the basins. Lead and zinc concentrations also varied with distance from the channel; however, no consistent spatial trend was evident. For the surficial-soil samples collected from the Spring River flood plain and tributary flood plains, both the coarse (larger than 63 micrometers) and fine particles (less than 63 micrometers) contained substantial lead and zinc concentrations.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135028","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Juracek, K.E., 2013, Occurrence and variability of mining-related lead and zinc in the Spring River flood plain and tributary flood plains, Cherokee County, Kansas, 2009--11: U.S. Geological Survey Scientific Investigations Report 2013-5028, vi, 70 p., https://doi.org/10.3133/sir20135028.","productDescription":"vi, 70 p.","numberOfPages":"80","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2011-12-31","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":269350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135028.gif"},{"id":269348,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5028/"},{"id":269349,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5028/sir2013-5028.pdf"}],"country":"United States","state":"Kansas","county":"Cherokee County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -95.073853,36.998665 ], [ -95.073853,37.341705 ], [ -94.617636,37.341705 ], [ -94.617636,36.998665 ], [ -95.073853,36.998665 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5142e35be4b073a963ff6535","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":475935,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70074483,"text":"70074483 - 2013 - Wildfire and invasive species in the west: challenges that hinder current and future management and protection of the sagebrush-steppe ecosystem: a Gap Report","interactions":[],"lastModifiedDate":"2017-11-22T15:54:05","indexId":"70074483","displayToPublicDate":"2013-03-13T10:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Wildfire and invasive species in the west: challenges that hinder current and future management and protection of the sagebrush-steppe ecosystem: a Gap Report","docAbstract":"The Western Association of Fish and Wildlife Agencies (WAFWA) to satisfy the 45-day report requirement identified in Cooperative Agreement (F13AC00353) between WAFWA and the U. S. Fish and Wildlife Service (FWS) submit this “Gap Report”. This report summarizes the policy, fiscal and science challenges that land managers encounter related to the control and reduction of the invasive plant/fire complex, especially as it relates to the threaten or endangered species listing status of the Greater sage-grouse (Centrocercus urophasianus).
\nWhile this Gap Report identifies 22 technical, policy, planning and funding gaps, it should be considered a “work in-progress”. To address this effort a Wildfire/Invasive Initiative Work Group (WG) was formed. The WG consist of nationally recognized experts in fire ecology, Sage-grouse ecology and management, range management and plant ecology. The WG developed this Gap Report and will be developing the final report for this Cooperative Agreement. Thus, as the WG evaluates the wildfire/invasive issue and makes recommendation to address scientific and management shortcomings, additional gaps will be identified and included in the final report. Within this report, the WG has suggested the top 5 gaps. However, the actual priority of what should be addressed first will depend on the significance and sequence of the limiting factor, available funding, current work, roles and responsibilities of the specific agencies, etc.
\nThe WG will continue to meet on a regular basis to further develop and expand this list of gaps. Additionally, the WG will offer specific options to address the identified gaps. However, the WG recommends that the FWS, possibly through the State/Federal (Western Governors Association) Sage Grouse Task Force or the National Sage-grouse Executive Oversight Committee, establish a Subcommittee to specifically review this Gap Report and develop a multi-agency approach on how to address each gap. The WG will continue to endeavor to establish a priority list and identify the “low hanging fruit” that can be addressed in the short-term to affect the listing decision. Additionally, the WG will propose a longer-term strategy. However, to successfully establish such a strategy it will take buy-in and commitment at the highest levels in federal and state governments.
In an effort to provide managers an opportunity to address the most important issues this coming fiscal year, we offer the following top 5 gaps. Beyond these top 5, the WG has identified 17 additional gaps that should be evaluated by both federal and state agencies as a means to help better manage the wildfire/invasive threat in the west.
We examined seroprevalence (presence of detectable antibodies in serum) for avian influenza viruses (AIV) among 4,485 birds, from 11 species of wild waterfowl in Alaska (1998–2010), sampled during breeding/molting periods. Seroprevalence varied among species (highest in eiders (Somateria and Polysticta species), and emperor geese (Chen canagica)), ages (adults higher than juveniles), across geographic locations (highest in the Arctic and Alaska Peninsula) and among years in tundra swans (Cygnus columbianus). All seroprevalence rates in excess of 60% were found in marine-dependent species. Seroprevalence was much higher than AIV infection based on rRT-PCR or virus isolation alone. Because pre-existing AIV antibodies can infer some protection against highly pathogenic AIV (HPAI H5N1), our results imply that some wild waterfowl in Alaska could be protected from lethal HPAIV infections. Seroprevalence should be considered in deciphering patterns of exposure, differential infection, and rates of AIV transmission. Our results suggest surveillance programs include species and populations with high AIV seroprevalences, in addition to those with high infection rates. Serologic testing, including examination of serotype-specific antibodies throughout the annual cycle, would help to better assess spatial and temporal patterns of AIV transmission and overall disease dynamics.
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Christian","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":475793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ely, Craig R. 0000-0003-4262-0892 cely@usgs.gov","orcid":"https://orcid.org/0000-0003-4262-0892","contributorId":3214,"corporation":false,"usgs":true,"family":"Ely","given":"Craig","email":"cely@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":475789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":475788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Samuel, Michael D. msamuel@usgs.gov","contributorId":1419,"corporation":false,"usgs":true,"family":"Samuel","given":"Michael","email":"msamuel@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":475787,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70042437,"text":"70042437 - 2013 - Cross-sensor comparisons between Landsat 5 TM and IRS-P6 AWiFS and disturbance detection using integrated Landsat and AWiFS time-series images","interactions":[],"lastModifiedDate":"2013-03-12T13:21:57","indexId":"70042437","displayToPublicDate":"2013-03-12T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Cross-sensor comparisons between Landsat 5 TM and IRS-P6 AWiFS and disturbance detection using integrated Landsat and AWiFS time-series images","docAbstract":"Routine acquisition of Landsat 5 Thematic Mapper (TM) data was discontinued recently and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) has an ongoing problem with the scan line corrector (SLC), thereby creating spatial gaps when covering images obtained during the process. Since temporal and spatial discontinuities of Landsat data are now imminent, it is therefore important to investigate other potential satellite data that can be used to replace Landsat data. We thus cross-compared two near-simultaneous images obtained from Landsat 5 TM and the Indian Remote Sensing (IRS)-P6 Advanced Wide Field Sensor (AWiFS), both captured on 29 May 2007 over Los Angeles, CA. TM and AWiFS reflectances were compared for the green, red, near-infrared (NIR), and shortwave infrared (SWIR) bands, as well as the normalized difference vegetation index (NDVI) based on manually selected polygons in homogeneous areas. All R2 values of linear regressions were found to be higher than 0.99. The temporally invariant cluster (TIC) method was used to calculate the NDVI correlation between the TM and AWiFS images. The NDVI regression line derived from selected polygons passed through several invariant cluster centres of the TIC density maps and demonstrated that both the scene-dependent polygon regression method and TIC method can generate accurate radiometric normalization. A scene-independent normalization method was also used to normalize the AWiFS data. Image agreement assessment demonstrated that the scene-dependent normalization using homogeneous polygons provided slightly higher accuracy values than those obtained by the scene-independent method. Finally, the non-normalized and relatively normalized ‘Landsat-like’ AWiFS 2007 images were integrated into 1984 to 2010 Landsat time-series stacks (LTSS) for disturbance detection using the Vegetation Change Tracker (VCT) model. Both scene-dependent and scene-independent normalized AWiFS data sets could generate disturbance maps similar to what were generated using the LTSS data set, and their kappa coefficients were higher than 0.97. These results indicate that AWiFS can be used instead of Landsat data to detect multitemporal disturbance in the event of Landsat data discontinuity.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"International Journal of Remote Sensing","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","publisherLocation":"Philadelphia, PA","doi":"10.1080/01431161.2012.743690","usgsCitation":"Chen, X., Vogelmann, J., Chander, G., Ji, L., Tolk, B., Huang, C., and Rollins, M., 2013, Cross-sensor comparisons between Landsat 5 TM and IRS-P6 AWiFS and disturbance detection using integrated Landsat and AWiFS time-series images: International Journal of Remote Sensing, v. 34, no. 7, p. 2432-2453, https://doi.org/10.1080/01431161.2012.743690.","productDescription":"22 p.","startPage":"2432","endPage":"2453","ipdsId":"IP-022909","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":269159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":269158,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/01431161.2012.743690"}],"volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2012-12-12","publicationStatus":"PW","scienceBaseUri":"5140407ee4b089809dbf43e7","contributors":{"authors":[{"text":"Chen, Xuexia","contributorId":14213,"corporation":false,"usgs":true,"family":"Chen","given":"Xuexia","affiliations":[],"preferred":false,"id":471526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vogelmann, James E. 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":649,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James E.","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":471523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chander, Gyanesh gchander@usgs.gov","contributorId":3013,"corporation":false,"usgs":true,"family":"Chander","given":"Gyanesh","email":"gchander@usgs.gov","affiliations":[],"preferred":true,"id":471525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ji, Lei 0000-0002-6133-1036 lji@usgs.gov","orcid":"https://orcid.org/0000-0002-6133-1036","contributorId":2832,"corporation":false,"usgs":true,"family":"Ji","given":"Lei","email":"lji@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":471524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tolk, Brian 0000-0002-9060-0266","orcid":"https://orcid.org/0000-0002-9060-0266","contributorId":62426,"corporation":false,"usgs":true,"family":"Tolk","given":"Brian","affiliations":[],"preferred":false,"id":471528,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huang, Chengquan","contributorId":25378,"corporation":false,"usgs":true,"family":"Huang","given":"Chengquan","affiliations":[],"preferred":false,"id":471527,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rollins, Matthew","contributorId":72347,"corporation":false,"usgs":true,"family":"Rollins","given":"Matthew","affiliations":[],"preferred":false,"id":471529,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70044550,"text":"ofr20131047 - 2013 - Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","interactions":[],"lastModifiedDate":"2013-03-12T15:24:08","indexId":"ofr20131047","displayToPublicDate":"2013-03-12T00:00:00","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":"2013-1047","title":"Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado","docAbstract":"This report releases geochemistry data in waters from the upper Animas River watershed that have been analyzed by inductively coupled plasma–mass spectrometry. These samples were collected at various sites and at various dates (41 sites and 86 samples from 2008 to 2010). A main data table is provided and the text discusses the sampling methods and locations in relation to other published reports.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131047","usgsCitation":"Johnson, R.H., and Yager, D.B., 2013, Miscellaneous geochemical data from waters in the Upper Animas River Watershed, Colorado: U.S. Geological Survey Open-File Report 2013-1047, iii, 3 p.; Table 1, https://doi.org/10.3133/ofr20131047.","productDescription":"iii, 3 p.; Table 1","startPage":"i","endPage":"3","numberOfPages":"6","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":269180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131047.gif"},{"id":269177,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1047/"},{"id":269179,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2013/1047/table.xls"},{"id":269178,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1047/OF13-1047.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0,37.0 ], [ -109.0,41.0 ], [ -102.0,41.0 ], [ -102.0,37.0 ], [ -109.0,37.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"51404080e4b089809dbf43ef","contributors":{"authors":[{"text":"Johnson, Raymond H. rhjohnso@usgs.gov","contributorId":707,"corporation":false,"usgs":true,"family":"Johnson","given":"Raymond","email":"rhjohnso@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":475871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yager, Douglas B. 0000-0001-5074-4022 dyager@usgs.gov","orcid":"https://orcid.org/0000-0001-5074-4022","contributorId":798,"corporation":false,"usgs":true,"family":"Yager","given":"Douglas","email":"dyager@usgs.gov","middleInitial":"B.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":475872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70044556,"text":"ds709U - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Bakhud mineral district in Afghanistan: Chapter U in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","interactions":[],"lastModifiedDate":"2013-03-12T18:57:26","indexId":"ds709U","displayToPublicDate":"2013-03-12T00:00:00","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":"U","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Bakhud mineral district in Afghanistan: Chapter U in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts 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 Bakhud mineral district, which has industrial fluorite 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,2006,2007, 2008), 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. Therefore, it was necessary to (1) register the 10-m AVNIR multispectral imagery to a well-controlled Landsat image base, (2) mosaic the individual multispectral images into a single image of the entire area of interest, (3) register each panchromatic image to the registered multispectral image base, and (4) mosaic the individual panchromatic images into a single image of the entire area of interest. The two image-registration steps were 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. The resolution of the multispectral image mosaic was then increased to that of the panchromatic image mosaic using the SPARKLE logic, which is described in Davis (2006). Each of the four-band images within the resolution-enhanced 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 315-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 (41 for Bakhud) and the WGS84 datum. The final image mosaics were subdivided into nine overlapping tiles or quadrants because of the large size of the target area. The nine image tiles (or quadrants) for the Bakhud 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/ds709U","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 U in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan (DS 709)","usgsCitation":"Davis, P.A., and Cagney, L.E., 2013, Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Bakhud mineral district in Afghanistan: Chapter U in Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan: U.S. Geological Survey Data Series 709, HTML Document; Readme; 4 Index Maps: 37 x 39 inches; 18 Image Files; Metadata; 1 Shapefile, https://doi.org/10.3133/ds709U.","productDescription":"HTML Document; Readme; 4 Index Maps: 37 x 39 inches; 18 Image Files; Metadata; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":269192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds709U.png"},{"id":269187,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/u/index_maps/index_maps.html"},{"id":269188,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/u/image_files/image_files.html"},{"id":269185,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/u/"},{"id":269186,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/u/1_readme.txt"},{"id":269189,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/u/metadata/metadata.html"},{"id":269190,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/u/shapefiles/shapefiles.html"},{"id":269191,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/ds/709/index.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":"5140407fe4b089809dbf43eb","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":509263,"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":475873,"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":475874,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}