The Gap Analysis Project (GAP)/Landscape Fire and Resource Management Planning Tools (LANDFIRE) National Terrestrial Ecosystems Data represents detailed data on the vegetation and land-use patterns of the United States, including Alaska, Hawaii, and Puerto Rico. This national dataset combines detailed land cover data generated by the GAP with LANDFIRE data (http://www.landfire.gov/). LANDFIRE is an interagency vegetation, fire, and fuel characteristics mapping program sponsored by the U.S. Department of the Interior (DOI) and the U.S. Department of Agriculture Forest Service.
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States\"}}]}","edition":"Version 1.0: Originally posted November 12, 2013; Version 1.1: August 29, 2016","contact":"Core Science Analytics and Synthesis
U.S. Geological Survey
302 National Center
Reston, VA 20192
http://www.usgs.gov/core_science_systems/
csas/index.html
http://gapanalysis.usgs.gov/
A study has been undertaken to determine the time required for the effects of nitrogen-reducing best management practices (BMPs) implemented at the land surface to reach the Chesapeake Bay via groundwater transport to streams. To accomplish this, a nitrogen mass-balance regression (NMBR) model was developed and applied to seven watersheds on the Delmarva Peninsula. The model included the distribution of groundwater return times obtained from a regional groundwater-flow (GWF) model, the history of nitrogen application at the land surface over the last century, and parameters that account for denitrification. The model was (1) able to reproduce nitrate concentrations in streams and wells over time, including a recent decline in the rate at which concentrations have been increasing, and (2) used to forecast future nitrogen delivery from the Delmarva Peninsula to the Bay given different scenarios of nitrogen load reduction to the water table. The relatively deep porous aquifers of the Delmarva yield longer groundwater return times than those reported earlier for western parts of the Bay watershed. Accordingly, several decades will be required to see the full effects of current and future BMPs. The magnitude of this time lag is critical information for Chesapeake Bay watershed managers and stakeholders.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/es401334k","usgsCitation":"Sanford, W.E., and Pope, J.P., 2013, Quantifying groundwater’s role in delaying improvements to Chesapeake Bay water quality: Environmental Science & Technology, v. 47, no. 23, p. 13330-13338, https://doi.org/10.1021/es401334k.","productDescription":"9 p.","startPage":"13330","endPage":"13338","numberOfPages":"9","ipdsId":"IP-049267","costCenters":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":473448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/es401334k","text":"Publisher Index Page"},{"id":279000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -76.9797,36.9078 ], [ -76.9797,39.7787 ], [ -74.4378,39.7787 ], [ -74.4378,36.9078 ], [ -76.9797,36.9078 ] ] ] } } ] }","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2013-11-12","publicationStatus":"PW","scienceBaseUri":"52834e07e4b047efbbb47bc7","contributors":{"authors":[{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":486118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pope, Jason P. 0000-0003-3199-993X jpope@usgs.gov","orcid":"https://orcid.org/0000-0003-3199-993X","contributorId":2044,"corporation":false,"usgs":true,"family":"Pope","given":"Jason","email":"jpope@usgs.gov","middleInitial":"P.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486117,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70049043,"text":"sir20135159 - 2013 - Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin","interactions":[],"lastModifiedDate":"2013-11-12T09:35:51","indexId":"sir20135159","displayToPublicDate":"2013-11-12T09:28:00","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":"2013-5159","title":"Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin","docAbstract":"Although groundwater and surface water are considered a single resource, historically hydrologic simulations have not accounted for feedback loops between the groundwater system and other hydrologic processes. These feedbacks include timing and rates of evapotranspiration, surface runoff, soil-zone flow, and interactions with the groundwater system. Simulations that iteratively couple the surface-water and groundwater systems, however, are characterized by long run times and calibration challenges. In this study, calibrated, uncoupled transient surface-water and steady-state groundwater models were used to construct one coupled transient groundwater/surface-water model for the Trout Lake Watershed in north-central Wisconsin, USA. The computer code GSFLOW (Ground-water/Surface-water FLOW) was used to simulate the coupled hydrologic system; a surface-water model represented hydrologic processes in the atmosphere, at land surface, and within the soil-zone, and a groundwater-flow model represented the unsaturated zone, saturated zone, stream, and lake budgets. The coupled GSFLOW model was calibrated by using heads, streamflows, lake levels, actual evapotranspiration rates, solar radiation, and snowpack measurements collected during water years 1998–2007; calibration was performed by using advanced features present in the PEST parameter estimation software suite.\n\nSimulated streamflows from the calibrated GSFLOW model and other basin characteristics were used as input to the one-dimensional SNTEMP (Stream-Network TEMPerature) model to simulate daily stream temperature in selected tributaries in the watershed. The temperature model was calibrated to high-resolution stream temperature time-series data measured in 2002. The calibrated GSFLOW and SNTEMP models were then used to simulate effects of potential climate change for the period extending to the year 2100. An ensemble of climate models and emission scenarios was evaluated. Downscaled climate drivers for the period 2010–2100 showed increases in maximum and minimum temperature over the scenario period. Scenarios of future precipitation did not show a monotonic trend like temperature. Uncertainty in the climate drivers increased over time for both temperature and precipitation.\n\nSeparate calibration of the uncoupled groundwater and surface-water models did not provide a representative initial parameter set for coupled model calibration. A sequentially linked calibration, in which the uncoupled models were linked by means of utility software, provided a starting parameter set suitable for coupled model calibration. Even with sequentially linked calibration, however, transmissivity of the lower part of the aquifer required further adjustment during coupled model calibration to attain reasonable parameter values for evaporation rates off a small seepage lake (a lake with no appreciable surface-water outlets) with a long history of study. The resulting coupled model was well calibrated to most types of observed time-series data used for calibration. Daily stream temperatures measured during 2002 were successfully simulated with SNTEMP; the model fit was acceptable for a range of groundwater inflow rates into the streams.\n\nForecasts of potential climate change scenarios showed growing season length increasing by weeks, and both potential and actual evapotranspiration rates increasing appreciably, in response to increasing air temperature. Simulated actual evapotranspiration rates increased less than simulated potential evapotranspiration rates as a result of water limitation in the root zone during the summer high-evapotranspiration period. The hydrologic-system response to climate change was characterized by a reduction in the importance of the snow-melt pulse and an increase in the importance of fall and winter groundwater recharge. The less dynamic hydrologic regime is likely to result in drier soil conditions in rainfed wetlands and uplands, in contrast to less drying in groundwater-fed systems. Seepage lakes showed larger forecast stage declines related to climate change than did drainage lakes (lakes with outlet streams). Seepage lakes higher in the watershed (nearer to groundwater divides) had less groundwater inflow and thus had larger forecast declines in lake stage; however, ground-water inflow to seepage lakes in general tended to increase as a fraction of the lake budgets with lake-stage decline because inward hydraulic gradients increased. Drainage lakes were characterized by less simulated stage decline as reductions in outlet streamflow of set losses to other water flows. Net groundwater inflow tended to decrease in drainage lakes over the scenario period.\n\nSimulated stream temperatures increased appreciably with climate change. The estimated increase in annual average temperature ranged from approximately 1 to 2 degrees Celsius by 2100 in the stream characterized by a high groundwater inflow rate and 2 to 3 degrees Celsius in the stream with a lower rate. The climate drivers used for the climate-change scenarios had appreciable variation between the General Circulation Model and emission scenario selected; this uncertainty was reflected in hydrologic flow and temperature model results. Thus, as with all forecasts of this type, the results are best considered to approximate potential outcomes of climate change.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135159","collaboration":"Groundwater Resources Program; Climate and Land Use Change Research & Development","usgsCitation":"Hunt, R.J., Walker, J.F., Selbig, W.R., Westenbroek, S.M., and Regan, R.S., 2013, Simulation of climate-change effects on streamflow, lake water budgets, and stream temperature using GSFLOW and SNTEMP, Trout Lake Watershed, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2013-5159, vi, 118 p., https://doi.org/10.3133/sir20135159.","productDescription":"vi, 118 p.","numberOfPages":"128","temporalStart":"1998-01-01","temporalEnd":"2007-12-31","ipdsId":"IP-050362","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":278998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135159.jpg"},{"id":278996,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5159/"},{"id":278997,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5159/pdf/sir2013-5159.pdf"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Trout Lake Watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.733333,45.133333 ], [ -89.733333,46.133333 ], [ -89.533333,46.133333 ], [ -89.533333,45.133333 ], [ -89.733333,45.133333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52834e08e4b047efbbb47bd3","contributors":{"authors":[{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486066,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Westenbroek, Stephen M. 0000-0002-6284-8643 smwesten@usgs.gov","orcid":"https://orcid.org/0000-0002-6284-8643","contributorId":2210,"corporation":false,"usgs":true,"family":"Westenbroek","given":"Stephen","email":"smwesten@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":486068,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Regan, R. Steve 0000-0003-4803-8596 rsregan@usgs.gov","orcid":"https://orcid.org/0000-0003-4803-8596","contributorId":2633,"corporation":false,"usgs":true,"family":"Regan","given":"R.","email":"rsregan@usgs.gov","middleInitial":"Steve","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":486069,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70049066,"text":"ds709Z - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kandahar mineral district in Afghanistan","interactions":[{"subject":{"id":70049066,"text":"ds709Z - 2013 - Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kandahar mineral district in Afghanistan","indexId":"ds709Z","publicationYear":"2013","noYear":false,"chapter":"Z","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kandahar mineral district in Afghanistan"},"predicate":"IS_PART_OF","object":{"id":70040370,"text":"ds709 - 2012 - Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","indexId":"ds709","publicationYear":"2012","noYear":false,"title":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan"},"id":1}],"isPartOf":{"id":70040370,"text":"ds709 - 2012 - Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan","indexId":"ds709","publicationYear":"2012","noYear":false,"title":"Local-area-enhanced, high-resolution natural-color and color-infrared satellite-image mosaics of mineral districts in Afghanistan"},"lastModifiedDate":"2022-12-13T16:47:32.091965","indexId":"ds709Z","displayToPublicDate":"2013-11-11T13:21:00","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":"Z","title":"Local-area-enhanced, 2.5-meter resolution natural-color and color-infrared satellite-image mosaics of the Kandahar mineral district in Afghanistan","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with the U.S. Department of Defense Task Force for Business and Stability Operations, prepared databases for mineral-resource target areas in Afghanistan. The purpose of the databases is to (1) provide useful data to ground-survey crews for use in performing detailed assessments of the areas and (2) provide useful information to private investors who are considering investment in a particular area for development of its natural resources. The set of satellite-image mosaics provided in this Data Series (DS) is one such database. Although airborne digital color-infrared imagery was acquired for parts of Afghanistan in 2006, the image data have radiometric variations that preclude their use in creating a consistent image mosaic for geologic analysis. Consequently, image mosaics were created using ALOS (Advanced Land Observation Satellite; renamed Daichi) satellite images, whose radiometry has been well determined (Saunier, 2007a,b). This part of the DS consists of the locally enhanced ALOS image mosaics for the Kandahar mineral district, which has bauxite 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 ((c)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 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 Kandahar) 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 Kandahar 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. Within the Kandahar study area, two subareas were designated for detailed field investigations (that is, the Obatu-Shela and Sekhab-Zamto Kalay subareas); these subareas were extracted from the area's image mosaic and are provided as separate embedded geotiff images.","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/ds709Z","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 Kandahar mineral district in Afghanistan: U.S. Geological Survey Data Series 709, Readme; 2 maps: 69.11 x 73.07 inches and 11 x 8.5 inches; 20 Image Files; 20 Metadata Files; 1 Shapefile, https://doi.org/10.3133/ds709Z.","productDescription":"Readme; 2 maps: 69.11 x 73.07 inches and 11 x 8.5 inches; 20 Image Files; 20 Metadata Files; 1 Shapefile","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-051558","costCenters":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"links":[{"id":278986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds709z.jpg"},{"id":278985,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/709/z/"},{"id":278990,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/z/index_maps/Kandahar_Area-of-Interest_Index_Map.pdf"},{"id":278992,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/ds/709/z/metadata/metadata.html"},{"id":278994,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/ds/709/z/image_files/image_files.html"},{"id":278989,"rank":1,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/ds/709/z/1_readme.txt"},{"id":278991,"rank":1,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/709/z/index_maps/Kandahar_Image_Index_Map.pdf"},{"id":278995,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/z/index_maps/index_maps.html"},{"id":278993,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/709/z/shapefiles/shapefiles.html"}],"country":"Afghanistan","otherGeospatial":"Kandahar Mineral District","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 65.416667,31.0 ], [ 65.416667,32.75 ], [ 65.75,32.75 ], [ 65.75,31.0 ], [ 65.416667,31.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5281fc5ee4b08f1425d63da1","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":486100,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70057895,"text":"70057895 - 2013 - A review of fire effects on vegetation and soils in the Great Basin region: response and ecological site characteristics","interactions":[],"lastModifiedDate":"2014-01-09T14:35:31","indexId":"70057895","displayToPublicDate":"2013-11-09T14:08:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":298,"text":"USDA General Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"RMRS-GTR-308","title":"A review of fire effects on vegetation and soils in the Great Basin region: response and ecological site characteristics","docAbstract":"This review synthesizes the state of knowledge on fire effects \non vegetation and soils in semi-arid ecosystems in the Great \nBasin Region, including the central and northern Great \nBasin and Range, Columbia River Basin, and the Snake \nRiver Plain. We summarize available literature related to: \n(1) the effects of environmental gradients, ecological site, \nand vegetation characteristics on resilience to disturbance \nand resistance to invasive species; (2) the effects of fire \non individual plant species and communities, biological \nsoil crusts, seed banks, soil nutrients, and hydrology; and \n(3) the role of fire severity, fire versus fire surrogate \ntreatments, and post-fire grazing in determining ecosystem \nresponse. From this, we identify knowledge gaps and present \na framework for predicting plant successional trajectories \nfollowing wild and prescribed fires and fire surrogate \ntreatments. Possibly the three most important ecological \nsite characteristics that influence a site’s resilience (ability \nof the ecological site to recover from disturbance) and \nresistance to invasive species are soil temperature/moisture \nregimes and the composition and structure of vegetation on \nthe ecological site just prior to the disturbance event.","language":"English","publisher":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","publisherLocation":"Fort Collins, CO","usgsCitation":"Miller, R., Chambers, J., Pyke, D.A., Pierson, F.B., and Williams, C.J., 2013, A review of fire effects on vegetation and soils in the Great Basin region: response and ecological site characteristics: USDA General Technical Report RMRS-GTR-308, v, 126 p.","productDescription":"v, 126 p.","numberOfPages":"136","ipdsId":"IP-043836","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":280797,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":280106,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.fed.us/rm/pubs/rmrs_gtr308.html"}],"country":"United States","otherGeospatial":"Columbia River Basin;Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -125.0,36.39 ], [ -125.0,49.02 ], [ -104.02,49.02 ], [ -104.02,36.39 ], [ -125.0,36.39 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4a7ce4b0b290850efcce","contributors":{"authors":[{"text":"Miller, Richard F.","contributorId":12964,"corporation":false,"usgs":true,"family":"Miller","given":"Richard F.","affiliations":[],"preferred":false,"id":486940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":486942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":486938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pierson, Fred B.","contributorId":27353,"corporation":false,"usgs":true,"family":"Pierson","given":"Fred","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":486941,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williams, C. Jason","contributorId":12774,"corporation":false,"usgs":true,"family":"Williams","given":"C.","email":"","middleInitial":"Jason","affiliations":[],"preferred":false,"id":486939,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048852,"text":"ds769 - 2013 - Topobathymetric model of Mobile Bay, Alabama","interactions":[],"lastModifiedDate":"2017-03-27T15:27:07","indexId":"ds769","displayToPublicDate":"2013-11-08T11:35:00","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":"769","title":"Topobathymetric model of Mobile Bay, Alabama","docAbstract":"Topobathymetric Digital Elevation Models (DEMs) are a merged rendering of both topography (land elevation) and bathymetry (water depth) that provides a seamless elevation product useful for inundation mapping, as well as for other earth science applications, such as the development of sediment-transport, sea-level rise, and storm-surge models. This 1/9-arc-second (approximately 3 meters) resolution model of Mobile Bay, Alabama was developed using multiple topographic and bathymetric datasets, collected on different dates. The topographic data were obtained primarily from the U.S. Geological Survey (USGS) National Elevation Dataset (NED) (http://ned.usgs.gov/) at 1/9-arc-second resolution; USGS Experimental Advanced Airborne Research Lidar (EAARL) data (2 meters) (http://pubs.usgs.gov/ds/400/); and topographic lidar data (2 meters) and Compact Hydrographic Airborne Rapid Total Survey (CHARTS) lidar data (2 meters) from the U.S. Army Corps of Engineers (USACE) (http://www.csc.noaa.gov/digitalcoast/data/coastallidar/). Bathymetry was derived from digital soundings obtained from the National Oceanic and Atmospheric Administration’s (NOAA) National Geophysical Data Center (NGDC) (http://www.ngdc.noaa.gov/mgg/geodas/geodas.html) and from water-penetrating lidar sources, such as EAARL and CHARTS.\n\nMobile Bay is ecologically important as it is the fourth largest estuary in the United States. The Mobile and Tensaw Rivers drain into the bay at the northern end with the bay emptying into the Gulf of Mexico at the southern end. Dauphin Island (a barrier island) and the Fort Morgan Peninsula form the mouth of Mobile Bay. Mobile Bay is 31 miles (50 kilometers) long by a maximum width of 24 miles (39 kilometers) with a total area of 413 square miles (1,070 square kilometers).\n\nThe vertical datum of the Mobile Bay topobathymetric model is the North American Vertical Datum of 1988 (NAVD 88). All the topographic datasets were originally referenced to NAVD 88 and no transformations were made to these input data. The NGDC hydrographic, multibeam, and trackline surveys were transformed from mean low water (MLW) or mean lower low water (MLLW) to NAVD 88 using VDatum (http://vdatum.noaa.gov). VDatum is a tool developed by the National Geodetic Survey (NGS) that performs transformations among tidal, ellipsoid-based, geoid-based, and orthometric datums using calibrated hydrodynamic models. The vertical accuracy of the input topographic data varied depending on the input source. Because the input elevation data were derived primarily from lidar, the vertical accuracy ranges from 6 to 20 centimeters in root mean square error (RMSE).\n\nhe horizontal datum of the Mobile Bay topobathymetric model is the North American Datum of 1983 (NAD 83), geographic coordinates. All the topographic and bathymetric datasets were originally referenced to NAD 83, and no transformations were made to the input data. The bathymetric surveys were downloaded referenced to NAD 83 geographic, and therefore no horizontal transformations were required. The topbathymetric model of Mobile Bay and detailed metadata can be obtained from the USGS Web sites: http://nationalmap.gov/.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds769","usgsCitation":"Danielson, J.J., Brock, J., Howard, D., Gesch, D.B., Bonisteel-Cormier, J.M., and Travers, L.J., 2013, Topobathymetric model of Mobile Bay, Alabama: U.S. Geological Survey Data Series 769, 6 Plates: 38.17 x 33.59 inches; Downloads Directory, https://doi.org/10.3133/ds769.","productDescription":"6 Plates: 38.17 x 33.59 inches; Downloads Directory","ipdsId":"IP-038535","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":278975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds769.gif"},{"id":278892,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/769/"},{"id":278972,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_nw-mobilebay-mapsheet.pdf","text":"Sheet 1: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278969,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_5-SCtr_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 5: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278970,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_6-SE_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 6: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278968,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_4-SW_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 4: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278971,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_nctr-mobilebay-mapsheet.pdf","text":"Sheet 2: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278973,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/ds/769/pdf/mapsheets/ds769_3-NE_Mobile_Bay_mapsheet-opt-Aug_12.pdf","text":"Sheet 3: Topobathymetric Model of Mobile Bay, Alabama"},{"id":278974,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/769/Downloads/"}],"country":"United States","state":"Alabama","otherGeospatial":"Mobile Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.230932,30.203506 ], [ -88.230932,30.858225 ], [ -87.80086,30.858225 ], [ -87.80086,30.203506 ], [ -88.230932,30.203506 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e0805e4b02d2057dcf1be","contributors":{"authors":[{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","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":485742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide 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Center","active":true,"usgs":true}],"preferred":true,"id":485740,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonisteel-Cormier, Jamie M.","contributorId":18085,"corporation":false,"usgs":true,"family":"Bonisteel-Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":485743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Travers, Laurinda J. ltravers@usgs.gov","contributorId":3002,"corporation":false,"usgs":true,"family":"Travers","given":"Laurinda","email":"ltravers@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":485741,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048695,"text":"70048695 - 2013 - Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","interactions":[],"lastModifiedDate":"2017-10-12T20:18:05","indexId":"70048695","displayToPublicDate":"2013-11-08T09:46:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA","docAbstract":"Karst aquifers and springs provide the dissolved oxygen critical for survival of endemic stygophiles worldwide, but little is known about fluctuations of dissolved oxygen concentrations (DO) and factors that control those concentrations. We investigated temporal variation in DO at Barton Springs, Austin, Texas, USA. During 2006–2012, DO fluctuated by as much as a factor of 2, and at some periods decreased to concentrations that adversely affect the Barton Springs salamander (Eurycea sorosum) (≤4.4 mg/L), a federally listed endangered species endemic to Barton Springs. DO was lowest (≤4.4 mg/L) when discharge was low (≤1 m3/s) and spring water temperature was >21 °C, although not at a maximum; the minimum DO recorded was 4.0 mg/L. Relatively low DO (<6 mg/L) also was measured at relatively high discharge (3.2 m3/s) and maximum T (22.2 °C). A four-segment linear regression model with daily data for discharge and spring water temperature as explanatory variables provided an excellent fit for mean daily DO (Nash–Sutcliffe coefficient for the validation period of 0.90). DO also fluctuated at short-term timescales in response to storms, and DO measured at 15-min intervals could be simulated with a combination of discharge, spring temperature, and specific conductance as explanatory variables. On the basis of the daily-data regression model, we hypothesize that more frequent low DO corresponding to salamander mortality could result from (i) lower discharge from Barton Springs resulting from increased groundwater withdrawals or decreased recharge as a result of climate change, and (or) (ii) higher groundwater temperature as a result of climate change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2013.10.004","usgsCitation":"Mahler, B., and Bourgeais, R., 2013, Dissolved oxygen fluctuations in karst spring flow and implications for endemic species: Barton Springs, Edwards aquifer, Texas, USA: Journal of Hydrology, v. 505, p. 291-298, https://doi.org/10.1016/j.jhydrol.2013.10.004.","productDescription":"8 p.","startPage":"291","endPage":"298","ipdsId":"IP-043691","costCenters":[{"id":562,"text":"South Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":278958,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Barton Springs, Edwards Aquifer","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -100.47,29.2 ], [ -100.47,30.76 ], [ -97.57,30.76 ], [ -97.57,29.2 ], [ -100.47,29.2 ] ] ] } } ] }","volume":"505","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527e07e1e4b02d2057dcf0ef","contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourgeais, Renan","contributorId":13522,"corporation":false,"usgs":true,"family":"Bourgeais","given":"Renan","email":"","affiliations":[],"preferred":false,"id":485450,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70158662,"text":"70158662 - 2013 - Pesticides in amphibian habitats of Central and Northern California, USA","interactions":[],"lastModifiedDate":"2016-08-31T11:25:53","indexId":"70158662","displayToPublicDate":"2013-11-08T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Pesticides in amphibian habitats of Central and Northern California, USA","docAbstract":"Previous studies have indicated that toxicity from pesticide exposure may be contributing to amphibian declines in California and that atmospheric deposition could be a primary pathway for pesticides to enter amphibian habitats. We report on a survey of California wetlands sampled along transects associated with Lassen Volcanic National Park, Lake Tahoe, Yosemite National Park, and Sequoia National Park. Each transect ran from the Pacific coast to the Cascades or Sierra Nevada mountains. Pacific chorus frogs (Pseudacris regilla), water, and sediment were collected from wetlands in 2001 and 2002. Twenty-three pesticides were found in frog, water, or sediment samples. Six contaminants including trifluralin, α-endosulfan, chlordanes, and trans-nonachlor were found in adult P. regilla. Seventeen contaminants were found in sediments, including endosulfan sulfate, chlordanes, 1-chloro-4-[2,2-dichloro-1-(4-chlorophenyl)ethenyl]benzene (4,4′-DDE), and chlorpyrifos. The mean number of chemicals detected per pond in sediments was 2.4 (2.5, standard deviation). In water, 17 chemicals were detected, with β-endosulfan being present in almost all samples. Trifluralin, chlordanes, and chlorpyrifos were the next most common. The mean number of chemicals in water per pond was 7.8 (2.9). With the possible exception of chlorpyrifos oxon in sediments and total endosulfans, none of the contaminants exceeded known lethal or sublethal concentrations in P. regilla tissue. Endosulfans, chlorpyrifos, and trifluralin were associated with historic and present day population status of amphibians. Cholinesterase, an essential neurological enzyme that can be depressed by certain pesticides, was reduced in tadpoles from areas with the greatest population declines.
","largerWorkTitle":"Occurrence, fate and impact of atmospheric pollutants on environmental and human health","language":"English","publisher":"ACS Publications","doi":"10.1021/bk-2013-1149","collaboration":"USDA","usgsCitation":"Fellers, G.M., Sparling, W., McConnell, L., Kleeman, P.M., and Drakeford, L., 2013, Pesticides in amphibian habitats of Central and Northern California, USA, chap. of Occurrence, fate and impact of atmospheric pollutants on environmental and human health, v. 1149, p. 123-150, https://doi.org/10.1021/bk-2013-1149.","productDescription":"28 p.","startPage":"123","endPage":"150","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-016890","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":473449,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://pubs.acs.org/isbn/9780841228900","text":"External Repository"},{"id":328114,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1149","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"57c7ffbde4b0f2f0cebfc31f","contributors":{"authors":[{"text":"Fellers, Gary M. 0000-0003-4092-0285 gary_fellers@usgs.gov","orcid":"https://orcid.org/0000-0003-4092-0285","contributorId":3150,"corporation":false,"usgs":true,"family":"Fellers","given":"Gary","email":"gary_fellers@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":576391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparling, W","contributorId":148993,"corporation":false,"usgs":false,"family":"Sparling","given":"W","email":"","affiliations":[{"id":17610,"text":"S IL U, Coop Wildlife Res Lab","active":true,"usgs":false}],"preferred":false,"id":576393,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McConnell, Laura","contributorId":57411,"corporation":false,"usgs":true,"family":"McConnell","given":"Laura","affiliations":[],"preferred":false,"id":576392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":576394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drakeford, Leticia","contributorId":148994,"corporation":false,"usgs":false,"family":"Drakeford","given":"Leticia","email":"","affiliations":[{"id":5108,"text":"U.S. Department of Agriculture Forest Service, Rocky Mountain Research Station, Missoula, Montana 59","active":true,"usgs":false}],"preferred":false,"id":576395,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70200887,"text":"70200887 - 2013 - New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice","interactions":[],"lastModifiedDate":"2019-09-19T09:38:08","indexId":"70200887","displayToPublicDate":"2013-11-07T13:57:47","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5775,"text":"Methane Hydrate Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice","docAbstract":"The U.S. Geological Survey (USGS) led seismic acquisition in the Gulf of Mexico from April 18 to May 3, 2013, collecting ocean-bottom seismometer (OBS) and high-resolution 2D data at lease blocks Green Canyon 955 (GC955) and Walker Ridge 313 (WR313). This collaborative effort among the U.S Department of Energy (DOE), the U.S. Bureau of Ocean Energy Management (BOEM) and the USGS was conducted to provide improved imaging and characterization of the known gas hydrate accumulations at these study sites.
","language":"English","publisher":"Department of Energy","usgsCitation":"Haines, S.S., Hart, P.E., and Ruppel, C.D., 2013, New seismic data acquired over known gas hydrate occurrences in the deepwater Gulf of Mexico: Fire In the ice: Methane Hydrate Newsletter, v. 13, no. 2, p. 3-6.","productDescription":"4 p.","startPage":"3","endPage":"6","ipdsId":"IP-051399","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":166,"text":"Central Energy Science Center","active":false,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":359382,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":359379,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.netl.doe.gov/File%20Library/Research/Oil-Gas/methane%20hydrates/MHNews_2013_October.pdf"}],"otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.74560546875,\n 21.759499730719817\n ],\n [\n -82.880859375,\n 21.759499730719817\n ],\n [\n -82.880859375,\n 29.458731185355344\n ],\n [\n -96.74560546875,\n 29.458731185355344\n ],\n [\n -96.74560546875,\n 21.759499730719817\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5be6b2c0e4b0b3fc5cf8cec8","contributors":{"authors":[{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":751060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hart, Patrick E. 0000-0002-5080-1426 hart@usgs.gov","orcid":"https://orcid.org/0000-0002-5080-1426","contributorId":2879,"corporation":false,"usgs":true,"family":"Hart","given":"Patrick","email":"hart@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":751062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048860,"text":"ofr20131251 - 2013 - Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","interactions":[],"lastModifiedDate":"2013-11-14T17:26:26","indexId":"ofr20131251","displayToPublicDate":"2013-11-07T10:19:00","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":"2013-1251","title":"Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update","docAbstract":"The Everglades Depth Estimation Network is an integrated network of real-time water-level gaging stations, a \nground-elevation model, and a water-surface elevation model \ndesigned to provide scientists, engineers, and water-resource \nmanagers with water-level and water-depth information \n(1991-2013) for the entire freshwater portion of the Greater \nEverglades. The U.S. Geological Survey Greater Everglades \nPriority Ecosystems Science provides support for the Everglades Depth Estimation Network in order for the Network \nto provide quality-assured monitoring data for the U.S. Army \nCorps of Engineers Comprehensive Everglades Restoration \nPlan. In a previous study, water-level estimation equations \nwere developed to fill in missing data to increase the accuracy of the daily water-surface elevation model. During this \nstudy, those equations were updated because of the addition \nand removal of water-level gaging stations, the consistent use \nof water-level data relative to the North American Vertical \nDatum of 1988, and availability of recent data (March 1, 2006, \nto September 30, 2011). Up to three linear regression equations were developed for each station by using three different \ninput stations to minimize the occurrences of missing data \nfor an input station. Of the 667 water-level estimation equations developed to fill missing data at 223 stations, more than \n72 percent of the equations have coefficients of determination \ngreater than 0.90, and 97 percent have coefficients of determination greater than 0.70.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131251","collaboration":"Prepared in cooperation with the U.S. Geological Survey Greater Everglades Priority Ecosystems Science","usgsCitation":"Petkewich, M.D., and Conrads, P., 2013, Estimation of missing water-level data for the Everglades Depth Estimation Network (EDEN), 2013 update: U.S. Geological Survey Open-File Report 2013-1251, iv, 45 p., https://doi.org/10.3133/ofr20131251.","productDescription":"iv, 45 p.","numberOfPages":"49","onlineOnly":"Y","costCenters":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":278909,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1251/"},{"id":278910,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131251.jpg"},{"id":278908,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1251/pdf/of2013-1251.pdf"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -81.8106,25.1872 ], [ -81.8106,26.3864 ], [ -80.0415,26.3864 ], [ -80.0415,25.1872 ], [ -81.8106,25.1872 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb931e4b0850ea050a8cf","contributors":{"authors":[{"text":"Petkewich, Matthew D. 0000-0002-5749-6356 mdpetkew@usgs.gov","orcid":"https://orcid.org/0000-0002-5749-6356","contributorId":982,"corporation":false,"usgs":true,"family":"Petkewich","given":"Matthew","email":"mdpetkew@usgs.gov","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485756,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70048858,"text":"fs20133072 - 2013 - U.S. Geological Survey water resources Internet tools","interactions":[],"lastModifiedDate":"2017-01-27T11:02:32","indexId":"fs20133072","displayToPublicDate":"2013-11-07T09:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3072","title":"U.S. Geological Survey water resources Internet tools","docAbstract":"The U.S. Geological Fact Sheet (USGS) provides a wealth of information on hydrologic data, maps, graphs, and other resources for your State.
Sources of water resources information are listed below.
National Water Information System (NWIS)
National Water Quality Assessment (NAWOA)
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133072","usgsCitation":"Shaffer, K.H., 2016, U.S. Geological Survey water resources Internet tools (ver. 1.1 August 2016): U.S. Geological Survey Fact 2013–3072, 2 p., https://dx.doi.org/10.3133/fs20133072.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":278898,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3072/pdf/fs20133072.pdf","size":"6.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2013-3072"},{"id":325346,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2013/3072/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2013-3072"},{"id":278899,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3072/index.html","description":"FS 2013-3072"},{"id":278900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2013/3072/images/coverthbr.jpg"}],"edition":"Version 1.0: Originally posted November 7, 2013; Version 1.1: August 10, 2016","contact":"Office of Surface Water
U.S. Geological Survey
415 National Center
12201 Sunrise Valley Drive
Reston, VA 20192
http://water.usgs.gov/osw/
Precise monitoring of agricultural crop biomass and yield quantities is critical for crop production management and prediction. The goal of this study was to compare hyperspectral narrowband (HNB) versus multispectral broadband (MBB) reflectance data in studying irrigated cropland characteristics of five leading world crops (cotton, wheat, maize, rice, and alfalfa) with the objectives of: 1. Modeling crop productivity, and 2. Discriminating crop types. HNB data were obtained from Hyperion hyperspectral imager and field ASD spectroradiometer, and MBB data were obtained from five broadband sensors: Landsat-7 Enhanced Thematic Mapper Plus (ETM +), Advanced Land Imager (ALI), Indian Remote Sensing (IRS), IKONOS, and QuickBird. A large collection of field spectral and biophysical variables were gathered for the 5 crops in Central Asia throughout the growing seasons of 2006 and 2007. Overall, the HNB and hyperspectral vegetation index (HVI) crop biophysical models explained about 25% greater variability when compared with corresponding MBB models. Typically, 3 to 7 HNBs, in multiple linear regression models of a given crop variable, explained more than 93% of variability in crop models. The evaluation of λ1 (400–2500 nm) versus λ2 (400–2500 nm) plots of various crop biophysical variables showed that the best two-band normalized difference HVIs involved HNBs centered at: (i) 742 nm and 1175 nm (HVI742-1175), (ii) 1296 nm and 1054 nm (HVI1296-1054), (iii) 1225 nm and 697 nm (HVI1225-697), and (iv) 702 nm and 1104 nm (HVI702-1104). Among the most frequently occurring HNBs in various crop biophysical models, 74% were located in the 1051–2331 nm spectral range, followed by 10% in the moisture sensitive 970 nm, 6% in the red and red-edge (630–752 nm), and the remaining 10% distributed between blue (400–500 nm), green (501–600 nm), and NIR (760–900 nm).
Discriminant models, used for discriminating 3 or 4 or 5 crop types, showed significantly higher accuracies when using HNBs (> 90%) over MBBs data (varied between 45 and 84%).
Finally, the study highlighted 29 HNBs of Hyperion that are optimal in the study of agricultural crops and potentially significant to the upcoming NASA HyspIRI mission. Determining optimal and redundant bands for a given application will help overcoming the Hughes' phenomenon (or curse of high dimensionality of data).
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2013.08.002","usgsCitation":"Mariotto, I., Thenkabail, P.S., Huete, A., Slonecker, E.T., and Platonov, A., 2013, Hyperspectral versus multispectral crop-productivity modeling and type discrimination for the HyspIRI mission: Remote Sensing of Environment, v. 139, p. 291-305, https://doi.org/10.1016/j.rse.2013.08.002.","productDescription":"15 p.","startPage":"291","endPage":"305","ipdsId":"IP-037397","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":278897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uzbekistan","otherGeospatial":"Syr Darya River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 68.704655,40.8555 ], [ 68.704655,40.885405 ], [ 68.719804,40.885405 ], [ 68.719804,40.8555 ], [ 68.704655,40.8555 ] ] ] } } ] }","volume":"139","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb952e4b0850ea050a8d2","contributors":{"authors":[{"text":"Mariotto, Isabella","contributorId":14140,"corporation":false,"usgs":true,"family":"Mariotto","given":"Isabella","email":"","affiliations":[],"preferred":false,"id":485722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad S. 0000-0002-2182-8822 pthenkabail@usgs.gov","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":570,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","email":"pthenkabail@usgs.gov","middleInitial":"S.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":485721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huete, Alfredo","contributorId":48337,"corporation":false,"usgs":true,"family":"Huete","given":"Alfredo","affiliations":[],"preferred":false,"id":485724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slonecker, E. Terrence 0000-0002-5793-0503","orcid":"https://orcid.org/0000-0002-5793-0503","contributorId":67175,"corporation":false,"usgs":true,"family":"Slonecker","given":"E.","email":"","middleInitial":"Terrence","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":false,"id":485725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Platonov, Alexander","contributorId":39965,"corporation":false,"usgs":true,"family":"Platonov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485723,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048857,"text":"ofr20131087 - 2013 - Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","interactions":[],"lastModifiedDate":"2013-11-14T16:11:31","indexId":"ofr20131087","displayToPublicDate":"2013-11-07T08:22:00","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":"2013-1087","title":"Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997","docAbstract":"Research on the hydrogeologic setting of Mirror Lake near West Thornton, New Hampshire (43° 56.5’ N, 71° 41.5’ W), includes the study of the physical, chemical, and isotopic characteristics of groundwater in the vicinity of the lake and nearby Hubbard Brook. Presented here are those physical, chemical, and isotopic data for the period 1983 to 1997. Data were collected from observation wells installed in glacial drift and bedrock, as well as from one domestic well in the general area of the lake and Hubbard Brook. Also presented are data for Mirror Lake for August 1, 1993, to place groundwater data in context with chemical and isotopic characteristics of the lake.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131087","collaboration":"Prepared in cooperation with the Institute of Ecosystem Studies","usgsCitation":"LaBaugh, J.W., Harte, P.T., Shapiro, A.M., Hsieh, P.A., Johnson, C.D., Goode, D., Wood, W., Buso, D.C., Likens, G.E., and Winter, T.C., 2013, Physical, chemical, and isotopic data from groundwater in the watershed of Mirror Lake, and in the vicinity of Hubbard Brook, near West Thornton, New Hampshire, 1983 to 1997: U.S. Geological Survey Open-File Report 2013-1087, viii, 147 p., https://doi.org/10.3133/ofr20131087.","productDescription":"viii, 147 p.","numberOfPages":"155","onlineOnly":"Y","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":278895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131087.gif"},{"id":278893,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1087/"},{"id":278894,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1087/pdf/of2013-1087.pdf"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Mirror Lake;West Thornton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -71.847,43.852 ], [ -71.847,44.03 ], [ -71.560,44.03 ], [ -71.560,43.852 ], [ -71.847,43.852 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527cb954e4b0850ea050a8d5","contributors":{"authors":[{"text":"LaBaugh, James W. 0000-0002-4112-2536 jlabaugh@usgs.gov","orcid":"https://orcid.org/0000-0002-4112-2536","contributorId":1311,"corporation":false,"usgs":true,"family":"LaBaugh","given":"James","email":"jlabaugh@usgs.gov","middleInitial":"W.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":485746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsieh, Paul A. 0000-0003-4873-4874 pahsieh@usgs.gov","orcid":"https://orcid.org/0000-0003-4873-4874","contributorId":1634,"corporation":false,"usgs":true,"family":"Hsieh","given":"Paul","email":"pahsieh@usgs.gov","middleInitial":"A.","affiliations":[{"id":39113,"text":"WMA - Office of Quality Assurance","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":485747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":485748,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":485750,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Warren W.","contributorId":47770,"corporation":false,"usgs":false,"family":"Wood","given":"Warren W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":485752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buso, Donald C.","contributorId":33212,"corporation":false,"usgs":true,"family":"Buso","given":"Donald","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485751,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Likens, Gene E.","contributorId":56363,"corporation":false,"usgs":true,"family":"Likens","given":"Gene","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":485753,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Winter, Thomas C.","contributorId":84736,"corporation":false,"usgs":true,"family":"Winter","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485754,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70132334,"text":"70132334 - 2013 - Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation","interactions":[],"lastModifiedDate":"2020-12-21T13:05:20.074686","indexId":"70132334","displayToPublicDate":"2013-11-07T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1013,"text":"Bioinspiration and Biomimetics","active":true,"publicationSubtype":{"id":10}},"title":"Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation","docAbstract":"Mechanisms for orienting toward and locating an odor source are sought in both biology and engineering. Chemical ecology studies have demonstrated that adult female sea lamprey show rheotaxis in response to a male pheromone with dichotomous outcomes: sexually mature females locate the source of the pheromone whereas immature females swim by the source and continue moving upstream. Here we introduce a simple switching mechanism modeled after odor-conditioned rheotaxis for the sea lamprey as they search for the source of a pheromone in a one-dimensional riverine environment. In this strategy, the females move upstream only if they detect that the pheromone concentration is higher than a threshold value and drifts down (by turning off control action to save energy) otherwise. In addition, we propose various uncertainty models such as measurement noise, actuator disturbance, and a probabilistic model of a concentration field in turbulent flow. Based on the proposed model with uncertainties, a convergence analysis showed that with this simplistic switching mechanism, the lamprey converges to the source location on average in spite of all such uncertainties. Furthermore, a slightly modified model and its extensive simulation results explain the behaviors of immature female lamprey near the source location.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-3182/8/4/046011","usgsCitation":"Choi, J., Jean, S., Johnson, N.S., Brant, C.O., and Li, W., 2013, Odor-conditioned rheotaxis of the sea lamprey: Modeling, analysis and validation: Bioinspiration and Biomimetics, v. 8, no. 4, 046011, https://doi.org/10.1088/1748-3182/8/4/046011.","productDescription":"046011","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-051395","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-3182/8/4/046011","text":"Publisher Index Page"},{"id":381516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2013-11-07","publicationStatus":"PW","scienceBaseUri":"546727c1e4b04d4b7dbde88e","contributors":{"authors":[{"text":"Choi, Jongeun","contributorId":126764,"corporation":false,"usgs":false,"family":"Choi","given":"Jongeun","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jean, Soo","contributorId":126765,"corporation":false,"usgs":false,"family":"Jean","given":"Soo","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":522802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":522800,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brant, Cory O.","contributorId":126746,"corporation":false,"usgs":false,"family":"Brant","given":"Cory","email":"","middleInitial":"O.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":522804,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70048835,"text":"70048835 - 2013 - Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","interactions":[],"lastModifiedDate":"2013-11-06T13:40:53","indexId":"70048835","displayToPublicDate":"2013-11-06T13:35:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data","docAbstract":"The British Petroleum Deepwater Horizon Oil Spill in the Gulf of Mexico was the biggest oil spill in US history. To assess the impact of the oil spill on the saltmarsh plant community, we examined Advanced Visible Infrared Imaging Spectrometer (AVIRIS) data flown over Barataria Bay, Louisiana in September 2010 and August 2011. Oil contamination was mapped using oil absorption features in pixel spectra and used to examine impact of oil along the oiled shorelines. Results showed that vegetation stress was restricted to the tidal zone extending 14 m inland from the shoreline in September 2010. Four indexes of plant stress and three indexes of canopy water content all consistently showed that stress was highest in pixels next to the shoreline and decreased with increasing distance from the shoreline. Index values along the oiled shoreline were significantly lower than those along the oil-free shoreline. Regression of index values with respect to distance from oil showed that in 2011, index values were no longer correlated with proximity to oil suggesting that the marsh was on its way to recovery. Change detection between the two dates showed that areas denuded of vegetation after the oil impact experienced varying degrees of re-vegetation in the following year. This recovery was poorest in the first three pixels adjacent to the shoreline. This study illustrates the usefulness of high spatial resolution airborne imaging spectroscopy to map actual locations where oil from the spill reached the shore and then to assess its impacts on the plant community. We demonstrate that post-oiling trends in terms of plant health and mortality could be detected and monitored, including recovery of these saltmarsh meadows one year after the oil spill.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0078989","usgsCitation":"Khanna, S., Santos, M.J., Ustin, S.L., Koltunov, A., Kokaly, R., and Roberts, D.A., 2013, Detection of salt marsh vegetation stress and recovery after the Deepwater Horizon Oil Spill in Barataria Bay, Gulf of Mexico using AVIRIS data: PLoS ONE, v. 8, no. 11, 13 p., https://doi.org/10.1371/journal.pone.0078989.","productDescription":"13 p.","numberOfPages":"13","ipdsId":"IP-049577","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":473450,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0078989","text":"Publisher Index Page"},{"id":278888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278882,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0078989"}],"country":"United States","state":"Louisiana","otherGeospatial":"Bataria Bay;Gulf Of Mexico","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.0325,28.5459 ], [ -92.0325,30.1333 ], [ -87.6819,30.1333 ], [ -87.6819,28.5459 ], [ -92.0325,28.5459 ] ] ] } } ] }","volume":"8","issue":"11","noUsgsAuthors":false,"publicationDate":"2013-11-05","publicationStatus":"PW","scienceBaseUri":"527b650de4b0a7295d9b55dd","contributors":{"authors":[{"text":"Khanna, Shruti","contributorId":74287,"corporation":false,"usgs":true,"family":"Khanna","given":"Shruti","affiliations":[],"preferred":false,"id":485734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Santos, Maria J.","contributorId":49694,"corporation":false,"usgs":true,"family":"Santos","given":"Maria","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":485731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ustin, Susan L.","contributorId":52878,"corporation":false,"usgs":false,"family":"Ustin","given":"Susan","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":485732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koltunov, Alexander","contributorId":73912,"corporation":false,"usgs":true,"family":"Koltunov","given":"Alexander","email":"","affiliations":[],"preferred":false,"id":485733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":81442,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond F.","affiliations":[],"preferred":false,"id":485735,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":485736,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70048820,"text":"ofr20131264 - 2013 - Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California","interactions":[],"lastModifiedDate":"2023-05-26T16:17:56.493053","indexId":"ofr20131264","displayToPublicDate":"2013-11-06T13:00:00","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":"2013-1264","title":"Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California","docAbstract":"A gravity survey was done in the vicinity of Barstow, California, in which data were processed and analyzed in the field. The purpose of the data collection was to investigate possible changes in gravity across mapped Quaternary faults and to improve regional gravity coverage, adding to the existing national gravity database. Data were collected, processed, analyzed, and interpreted in the field in order to make decisions about where to collect data for the remainder of the survey. Geological targets in the Barstow area included the Cady Fault, the Manix Fault, and the Yermo Hills. Upon interpreting initial results, additional data were collected to more completely define the fault targets, rather than collecting data to improve the regional gravity coverage in an adjacent area. Both the Manix and Cady Faults showed gravitational expression of the subsurface in the form of steep gravitational gradients that we interpret to represent down-dropped blocks. The gravitational expression of the Cady Fault is on trend with the linear projection of the mapped fault, and the gravitational expression of the Manix Fault is north of the current northernmost mapped strand of the fault. The relative gravitational low over the Yermo Hills was confirmed and better constrained, indicating a significant thickness of sediments at the junction of the Calico, Manix, and Tin Can Alley Faults.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131264","usgsCitation":"Phelps, G., Cronkite-Ratcliff, C., and Klofas, L., 2013, Principal facts and an approach to collecting gravity data using near-real-time observations in the vicinity of Barstow, California: U.S. Geological Survey Open-File Report 2013-1264, iii, 24 p., https://doi.org/10.3133/ofr20131264.","productDescription":"iii, 24 p.","numberOfPages":"27","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":417514,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_99271.htm","linkFileType":{"id":5,"text":"html"}},{"id":278887,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131264.jpg"},{"id":278886,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1264/pdf/ofr2013-1264.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":278885,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1264/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","city":"Barstow","otherGeospatial":"Cady Fault, Calico Fault, Manix Fault, Tin Can Alley Fault, Yermo Hills","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -117.119959,34.698518 ], [ -117.119959,35.280012 ], [ -116.129793,35.280012 ], [ -116.129793,34.698518 ], [ -117.119959,34.698518 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b650fe4b0a7295d9b55ea","contributors":{"authors":[{"text":"Phelps, G.","contributorId":80171,"corporation":false,"usgs":true,"family":"Phelps","given":"G.","affiliations":[],"preferred":false,"id":485718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronkite-Ratcliff, C.","contributorId":87408,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"C.","affiliations":[],"preferred":false,"id":485720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klofas, L.","contributorId":87058,"corporation":false,"usgs":true,"family":"Klofas","given":"L.","email":"","affiliations":[],"preferred":false,"id":485719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048819,"text":"fs20133098 - 2013 - Asian carp behavior in response to static water gun firing","interactions":[],"lastModifiedDate":"2013-11-14T17:42:56","indexId":"fs20133098","displayToPublicDate":"2013-11-06T12:33:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-3098","title":"Asian carp behavior in response to static water gun firing","docAbstract":"The potential for invasion of Asian carp into the Great Lakes has ecological and socio-economic implications. If they become established, Asian carp are predicted to alter lake ecosystems and impact commercial and recreational fisheries. The Chicago Sanitary and Shipping Canal is an important biological conduit between the Mississippi River Basin, where invasive Asian carp are abundant, and the Great Lakes. Millions of dollars have been spent to erect an electric barrier defense in the canal to prevent movement of Asian carp into the Great Lakes, but the need for additional fish deterrent technologies to supplement the existing barrier is warranted. Scientists with the U.S. Geological Survey Northern Rocky Mountain Science Center are examining seismic water gun technology, formerly used in oceanic oil exploration, as a fish deterrent. The goal of the current study is to employ telemetry and sonar monitoring equipment to assess the behavioral response of Asian carp to seismic water guns and the sound energy it generates.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20133098","usgsCitation":"Layhee, M.J., Gross, J.A., Parsley, M.J., Romine, J.G., Glover, D.C., Suski, C.D., Wagner, T.L., Sepulveda, A., and Gresswell, R., 2013, Asian carp behavior in response to static water gun firing: U.S. Geological Survey Fact Sheet 2013-3098, 4 p., https://doi.org/10.3133/fs20133098.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","ipdsId":"IP-042911","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":278881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20133098.jpg"},{"id":278880,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2013/3098/pdf/fs2013-3098.pdf"},{"id":278879,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2013/3098/"}],"country":"United States","state":"Illinois","city":"Morris;Illinois","otherGeospatial":"Chicago Sanitary And Shipping Canal;Great Lakes;Mississippi River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -88.5739,41.2942 ], [ -88.5739,41.8582 ], [ -87.4094,41.8582 ], [ -87.4094,41.2942 ], [ -88.5739,41.2942 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b64dee4b0a7295d9b5521","contributors":{"authors":[{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsley, Michael J. 0000-0003-0097-6364 mparsley@usgs.gov","orcid":"https://orcid.org/0000-0003-0097-6364","contributorId":2608,"corporation":false,"usgs":true,"family":"Parsley","given":"Michael","email":"mparsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romine, Jason G. 0000-0002-6938-1185 jromine@usgs.gov","orcid":"https://orcid.org/0000-0002-6938-1185","contributorId":2823,"corporation":false,"usgs":true,"family":"Romine","given":"Jason","email":"jromine@usgs.gov","middleInitial":"G.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":485710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Glover, David C.","contributorId":103562,"corporation":false,"usgs":true,"family":"Glover","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":485717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Suski, Cory D.","contributorId":31296,"corporation":false,"usgs":true,"family":"Suski","given":"Cory","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":485715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tristany L.","contributorId":32442,"corporation":false,"usgs":true,"family":"Wagner","given":"Tristany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":485716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":485712,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gresswell, Robert E.","contributorId":13194,"corporation":false,"usgs":true,"family":"Gresswell","given":"Robert E.","affiliations":[],"preferred":false,"id":485713,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70048808,"text":"70048808 - 2013 - Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","interactions":[],"lastModifiedDate":"2013-11-06T10:24:19","indexId":"70048808","displayToPublicDate":"2013-11-06T10:14:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.","docAbstract":"The timing of ice-out in high latitudes is a fundamental threshold for lake ecosystems and an indicator of climate change. In lake-rich regions, the loss of ice cover also plays a key role in landscape and climatic processes. Thus, there is a need to understand lake ice phenology at multiple scales. In this study, we observed ice-out timing on 55 large lakes in 11 lake districts across Alaska from 2007 to 2012 using satellite imagery. Sensor networks in two lake districts validated satellite observations and provided comparison with smaller lakes. Over this 6 yr period, the mean lake ice-out for all lakes was 27 May and ranged from 07 May in Kenai to 06 July in Arctic Coastal Plain lake districts with relatively low inter-annual variability. Approximately 80% of the variation in ice-out timing was explained by the date of 0°C air temperature isotherm and lake area. Shoreline irregularity, watershed area, and river connectivity explained additional variation in some districts. Coherence in ice-out timing within the lakes of each district was consistently strong over this 6 yr period, ranging from r-values of 0.5 to 0.9. Inter-district analysis of coherence also showed synchronous ice-out patterns with the exception of the two arctic coastal districts where ice-out occurs later (June–July) and climatology is sea-ice influenced. These patterns of lake ice phenology provide a spatially extensive baseline describing short-term temporal variability, which will help decipher longer term trends in ice phenology and aid in representing the role of lake ice in land and climate models in northern landscapes.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Limnology and Oceanography","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Association for the Sciences of Limnology and Oceonography","doi":"10.4319/lo.2013.58.6.2013","usgsCitation":"Arp, C.D., Jones, B.M., and Grosse, G., 2013, Recent lake ice-out phenology within and among lake districts of Alaska, U.S.A.: Limnology and Oceanography, v. 58, no. 6, p. 2013-2028, https://doi.org/10.4319/lo.2013.58.6.2013.","productDescription":"16 p.","startPage":"2013","endPage":"2028","numberOfPages":"16","ipdsId":"IP-049175","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":473451,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4319/lo.2013.58.6.2013","text":"Publisher Index Page"},{"id":278877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":278876,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4319/lo.2013.58.6.2013"}],"country":"United States","state":"Alaska","otherGeospatial":"Ahtna;Arctic Coastal Plain;Beringia;Denali;Kenai;Koyukuk;Matanuska-susitna;Minto Flats;Tetlin;Yukon Flats;Yukon-kuskokwim Delta","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -179.91,53.93 ], [ -179.91,72.18 ], [ -129.9,72.18 ], [ -129.9,53.93 ], [ -179.91,53.93 ] ] ] } } ] }","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2013-10-21","publicationStatus":"PW","scienceBaseUri":"527b6510e4b0a7295d9b55f0","contributors":{"authors":[{"text":"Arp, Christopher D.","contributorId":17330,"corporation":false,"usgs":false,"family":"Arp","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":485684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711 bjones@usgs.gov","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":2286,"corporation":false,"usgs":true,"family":"Jones","given":"Benjamin","email":"bjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":485683,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grosse, Guido","contributorId":101475,"corporation":false,"usgs":true,"family":"Grosse","given":"Guido","affiliations":[{"id":34291,"text":"University of Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":485685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70048809,"text":"ds792 - 2013 - Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","interactions":[],"lastModifiedDate":"2013-11-21T10:36:55","indexId":"ds792","displayToPublicDate":"2013-11-06T08:07:00","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":"792","title":"Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011","docAbstract":"The U.S. Geological Survey performed multibeam echosounder hydrographic surveys of four narrows in the Namakan reservoir system in August 2011, in cooperation with the International Joint Commission and Environment Canada. The data-collection effort was completed to provide updated and detailed hydrographic data to Environment Canada for inclusion in a Hydrologic Engineering Centers River Analysis System hydraulic model. The Namakan reservoir system is composed of Namakan, Kabetogama, Sand Point, Crane, and Little Vermilion Lakes. Water elevations in the Namakan reservoir system are regulated according to rule curves, or guidelines for water-level management based on the time of year, established by the International Joint Commission. Water levels are monitored by established gages on Crane Lake and the outlet of Namakan Lake at Kettle Falls, but water elevations throughout the system may deviate from these measured values by as much as 0.3 meters, according to lake managers and residents. Deviations from expected water elevations may be caused by between-lake constrictions (narrows). According to the 2000 Rule Curve Assessment Workgroup, hydrologic models of the reservoir system are needed to better understand the system and to evaluate the recent changes made to rule curves in 2000. \nHydrographic surveys were performed using a RESON SeaBat™7125 multibeam echosounder system. Surveys were completed at Namakan Narrows, Harrison Narrows, King Williams Narrows, and Little Vermilion Narrows. Hydrographic survey data were processed using Caris HIPSTM and SIPSTM software that interpolated a combined uncertainty and bathymetric estimator (CUBE) surface. Quality of the survey results was evaluated in relation to standards set by the International Hydrographic Organization (IHO) for describing the uncertainty of hydrographic surveys. More than 90 percent of the surveyed areas at the four narrows have resulting bed elevations that meet the IHO “Special Order” quality. Survey datasets published in this report are formatted as text files of x-y-z coordinates and as CARIS Spatial ArchiveTM (CSARTM) files with corresponding metadata.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds792","collaboration":"Prepared in cooperation with the International Joint Commission and Environment Canada","usgsCitation":"Densmore, B.K., Strauch, K.R., and Ziegeweid, J.R., 2013, Hydrographic surveys of four narrows within the Namakan reservoir system, Voyageurs National Park, Minnesota, 2011: U.S. Geological Survey Data Series 792, Report: iv, 12 p.; Downloads Directory, https://doi.org/10.3133/ds792.","productDescription":"Report: iv, 12 p.; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2011-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-041944","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":278872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds792.gif"},{"id":278871,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/ds/792/downloads/"},{"id":278869,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/792/pdf/ds792.pdf"},{"id":278870,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/792/"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -92.760315,48.145931 ], [ -92.760315,48.466548 ], [ -92.397766,48.466548 ], [ -92.397766,48.145931 ], [ -92.760315,48.145931 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527b650fe4b0a7295d9b55e6","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziegeweid, Jeffrey R. 0000-0001-7797-3044 jrziege@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-3044","contributorId":4166,"corporation":false,"usgs":true,"family":"Ziegeweid","given":"Jeffrey","email":"jrziege@usgs.gov","middleInitial":"R.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":485687,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70145850,"text":"70145850 - 2013 - Plant invasions in protected areas of tropical pacific islands, with special reference to Hawaii","interactions":[],"lastModifiedDate":"2018-01-05T12:36:12","indexId":"70145850","displayToPublicDate":"2013-11-06T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Plant invasions in protected areas of tropical pacific islands, with special reference to Hawaii","docAbstract":"Isolated tropical islands are notoriously vulnerable to plant invasions. Serious management for protection of native biodiversity in Hawaii began in the 1970s, arguably at Hawaii Volcanoes National Park. Concerted alien plant management began there in the 1980s and has in a sense become a model for protected areas throughout Hawaii and Pacific Island countries and territories. We review the relative successes of their strategies and touch upon how their experience has been applied elsewhere. Protected areas in Hawaii are fortunate in having relatively good resources for addressing plant invasions, but many invasions remain intractable, and invasions from outside the boundaries continue from a highly globalised society with a penchant for horticultural novelty. There are likely few efforts in most Pacific Islands to combat alien plant invasions in protected areas, but such areas may often have fewer plant invasions as a result of their relative remoteness and/or socio-economic development status. The greatest current needs for protected areas in this region may be for establishment of yet more protected areas, for better resources to combat invasions in Pacific Island countries and territories, for more effective control methods including biological control programme to contain intractable species, and for meaningful efforts to address prevention and early detection of potential new invaders.
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Côte d’Ivoire’s two main diamond mining areas, Séguéla and Tortiya, are located in the north, under what was, until recently, rebel-controlled territory. In an effort to prevent proceeds from diamond mining from funding the conflict, the United Nations (UN) placed an embargo on the export of rough diamonds from Côte d’Ivoire in 2005. That same year, the Kimberley Process (KP), the international initiative charged with stemming the flow of conflict diamonds, acted to enforce this ban by adopting the Moscow Resolution on Côte d’Ivoire, which contained measures to prevent the infiltration of Ivorian diamonds into the legitimate global rough diamond trade. Though under scrutiny by the international community, diamond mining activities continued in Côte d’Ivoire, with artisanal miners exploiting both alluvial deposits in fluvial systems and primary kimberlitic dike deposits. However, because of the embargo, there has been no official record of diamond production since the conflict began in 2002. This lack of production statistics represents a significant data gap and hinders efforts by the KP to understand how illicitly produced diamonds may be entering the legitimate trade.\n\nThis study presents the results of a multiyear effort to monitor the diamond mining activities of Côte d’Ivoire’s two main diamond mining areas, Séguéla and Tortiya. An innovative approach was developed that integrates data acquired from archival reports and maps, high-resolution satellite imagery, and digital terrain modeling to assess the total diamond endowment of the Séguéla and Tortiya deposits and to calculate annual diamond production from 2006 to 2013. On the basis of currently available data, this study estimates that a total of 10,100,000 carats remain in Séguéla and a total of 1,100,000 carats remain in Tortiya. Production capacity was calculated for the two study areas for the years 2006–2010 and 2012–2013. Production capacity was found to range from between 38,000 carats and 375,000 carats in Séguéla and from 13,000 carats and 20,000 carats in Tortiya. Further, this study demonstrates that artisanal mining activities can be successfully monitored by using remote sensing and geologic modeling techniques. The production capacity estimates presented here fill a significant data gap and provide policy makers, the UN, and the KP with important information not otherwise available.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135185","collaboration":"Prepared under the auspices of the U.S. Department of State","usgsCitation":"Chirico, P., and Malpeli, K., 2013, Reconnaissance investigation of the rough diamond resource potential and production capacity of Côte d’Ivoire: U.S. Geological Survey Scientific Investigations Report 2013-5185, vi, 45 p., https://doi.org/10.3133/sir20135185.","productDescription":"vi, 45 p.","numberOfPages":"55","onlineOnly":"Y","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":278819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135185.jpg"},{"id":278810,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5185/pdf/sir2013-5185.pdf"},{"id":278809,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5185/"}],"projection":"Geographic Coordinate System","datum":"World Geodetic System 1984 Daturm","country":"Côte d’Ivoire","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -8.6064,4.1642 ], [ -8.6064,10.74 ], [ -2.4878,10.74 ], [ -2.4878,4.1642 ], [ -8.6064,4.1642 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1368e4b051792d0148a2","contributors":{"authors":[{"text":"Chirico, Peter G.","contributorId":27086,"corporation":false,"usgs":true,"family":"Chirico","given":"Peter G.","affiliations":[],"preferred":false,"id":485660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malpeli, Katherine C.","contributorId":55106,"corporation":false,"usgs":true,"family":"Malpeli","given":"Katherine C.","affiliations":[],"preferred":false,"id":485661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70101798,"text":"70101798 - 2013 - Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","interactions":[],"lastModifiedDate":"2022-04-13T17:03:52.638666","indexId":"70101798","displayToPublicDate":"2013-11-05T13:53:58","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins","docAbstract":"We illustrate the ability to monitor the status of snow water content over large areas by using a spatially distributed snow accumulation and ablation model that uses data from a weather forecast model in the upper Colorado Basin. The model was forced with precipitation fields from the National Weather Service (NWS) Multi-sensor Precipitation Estimator (MPE) and the Tropical Rainfall Measuring Mission (TRMM) data-sets; remaining meteorological model input data were from NOAA's Global Forecast System (GFS) model output fields. The simulated snow water equivalent (SWE) was compared to SWEs from the Snow Data Assimilation System (SNODAS) and SNOwpack TELemetry system (SNOTEL) over a region of the western US that covers parts of the upper Colorado Basin. We also compared the SWE product estimated from the special sensor microwave imager (SSM/I) and scanning multichannel microwave radiometer (SMMR) to the SNODAS and SNOTEL SWE data-sets. Agreement between the spatial distributions of the simulated SWE with MPE data was high with both SNODAS and SNOTEL. Model-simulated SWE with TRMM precipitation and SWE estimated from the passive microwave imagery were not significantly correlated spatially with either SNODAS or the SNOTEL SWE. Average basin-wide SWE simulated with the MPE and the TRMM data were highly correlated with both SNODAS (r = 0.94 and r = 0.64; d.f. = 14 – d.f. = degrees of freedom) and SNOTEL (r = 0.93 and r = 0.68; d.f. = 14). The SWE estimated from the passive microwave imagery was significantly correlated with the SNODAS SWE (r = 0.55, d.f. = 9, p = 0.05) but was not significantly correlated with the SNOTEL-reported SWE values (r = 0.45, d.f. = 9, p = 0.05).The results indicate the applicability of the snow energy balance model for monitoring snow water content at regional scales when coupled with meteorological data of acceptable quality. The two snow water contents from the microwave imagery (SMMR and SSM/I) and the Utah Energy Balance forced with the TRMM precipitation data were found to be unreliable sources for mapping SWE in the study area; both data sets lacked discernible variability of snow water content between sites as seen in the SNOTEL and SNODAS SWE data. This study will contribute to better understanding the adequacy of data from weather forecast models, TRMM, and microwave imagery for monitoring status of the snow water content.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/hess-17-5127-2013","usgsCitation":"Artan, G.A., Verdin, J., and Lietzow, R., 2013, Large scale snow water status monitoring: Comparison of different snow water products in the upper Colorado basins: Hydrology and Earth System Sciences, v. 17, p. 5127-5139, https://doi.org/10.5194/hess-17-5127-2013.","productDescription":"13 p.","startPage":"5127","endPage":"5139","ipdsId":"IP-018769","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":473452,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-17-5127-2013","text":"Publisher Index Page"},{"id":286361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","otherGeospatial":"Colorado basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.8740234375,\n 37.16031654673677\n ],\n [\n -105.1171875,\n 37.16031654673677\n ],\n [\n -105.1171875,\n 44.11914151643737\n ],\n [\n -110.8740234375,\n 44.11914151643737\n ],\n [\n -110.8740234375,\n 37.16031654673677\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","noUsgsAuthors":false,"publicationDate":"2013-12-18","publicationStatus":"PW","scienceBaseUri":"535594a9e4b0120853e8c044","contributors":{"authors":[{"text":"Artan, G. A.","contributorId":50733,"corporation":false,"usgs":false,"family":"Artan","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":492762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, J. P. 0000-0003-0238-9657","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":33033,"corporation":false,"usgs":true,"family":"Verdin","given":"J. 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During July 2008, September 2009, and August 2010, the U.S. Geological Survey, as part of the Assessment Techniques for Concealed Mineral Resources project, collected twenty-three magnetotelluric soundings along two profiles in Box Elder County, Utah; Elko County, Nevada; and Cassia, Minidoka, and Blaine Counties, Idaho. The main twenty-sounding north-south magnetotelluric profile begins south of Wendover, Nev., but north of the Deep Creek Range. It continues north of Wendover and crosses into Utah, with the north profile terminus in the Snake River Plain, Idaho. A short, three-sounding east-west segment crosses the main north-south profile near the northern terminus of the profile. The magnetotelluric data collected in this study will be used to better constrain the location and strike of the concealed suture zone between the Archean crust and the Paleoproterozoic Mojave province. This report releases the magnetotelluric sounding data that was collected. No interpretation of the data is included.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20131252","usgsCitation":"Sampson, J.A., and Rodriguez, B.D., 2013, Magnetotelluric survey to locate the Archean-Proterozoic suture zone in the northeastern Great Basin, Nevada, Utah, and Idaho: U.S. Geological Survey Open-File Report 2013-1252, iv, 195 p., https://doi.org/10.3133/ofr20131252.","productDescription":"iv, 195 p.","numberOfPages":"199","onlineOnly":"Y","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":278715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20131252.gif"},{"id":278713,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2013/1252/"},{"id":278714,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2013/1252/pdf/of2013-1252.pdf"}],"country":"United States","state":"Idaho;Nevada;Utah","otherGeospatial":"Great Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.64,34.24 ], [ -122.64,43.5 ], [ -111.34,43.5 ], [ -111.34,34.24 ], [ -122.64,34.24 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"527a1368e4b051792d01489e","contributors":{"authors":[{"text":"Sampson, Jay A.","contributorId":13939,"corporation":false,"usgs":true,"family":"Sampson","given":"Jay","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":485658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":485657,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70094693,"text":"70094693 - 2013 - Using isotopes for design and monitoring of artificial recharge systems","interactions":[],"lastModifiedDate":"2018-08-08T15:37:59","indexId":"70094693","displayToPublicDate":"2013-11-05T13:02:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":179,"text":"IAEA TECDOC","active":false,"publicationSubtype":{"id":3}},"seriesNumber":"1723","title":"Using isotopes for design and monitoring of artificial recharge systems","docAbstract":"Over the past years, the IAEA has provided support to a number of Member States engaged in the implementation of hydrological projects dealing with the design and monitoring of artificial recharge ( A R ) systems, primarily situated in arid and semiarid regions. AR is defined as any engineered system designed to introduce water to, and store water in, underlying aquifers. Aquifer storage and recovery (ASR) is a specific type of AR used with the purpose of increasing groundwater resources. Different water management strategies have been tested under various geographical, hydrological and climatic regimes. However, \nthe success of such schemes cannot easily be predicted, since many variables need to be taken into account in the early stages of every AR project.","language":"English","publisher":"International Atomic Energy Agency","publisherLocation":"Vienna","usgsCitation":"International Atomic Energy Agency, 2013, Using isotopes for design and monitoring of artificial recharge systems: IAEA TECDOC 1723, 59 p.","productDescription":"59 p.","numberOfPages":"74","ipdsId":"IP-016370","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":284319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":282655,"type":{"id":15,"text":"Index Page"},"url":"https://www-pub.iaea.org/books/IAEABooks/10510/Using-Isotopes-for-Design-and-Monitoring-of-Artificial-Recharge-Systems"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae789de4b0abf75cf2dac1","contributors":{"authors":[{"text":"International Atomic Energy Agency","contributorId":206868,"corporation":true,"usgs":false,"organization":"International Atomic Energy Agency","id":741983,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}