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This data set provides the abiotic water balance variables used for species distribution modelings for Pinus albicaulis within the Greater Yellowstone Ecosystem
Categories: Data;
Tags: Data Visualization & Tools,
Geospatial dataset,
Idaho,
Montana,
North Central CASC,
Dataset provides inputs and model results of a stable isotope-based mixing model for estimating the relative contribution of seasonal recharge sources to the South Rim groundwater flow system, Grand Canyon, Arizona, USA.
Categories: Data;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: Arizona,
Coconino,
Geochemistry,
Grand Canyon,
Hydrology,
This dataset includes the magnetotelluric (MT) sounding data collected in 2008 in and near the Patagonia Mountains of Arizona. The U.S. Geological Survey (USGS) conducted a series of multidisciplinary studies as part of the Assessment Techniques for Concealed Mineral Resources project funded by the USGS Minerals Resources Program in cooperation with the U.S. Forest Service.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
CGGSC,
Crustal Geophysics and Geochemistry Science Center,
Cumero Canyon,
Electromagnetic surveying,
The Transboundary Aquifer Assessment Act was established to systematically assess priority aquifers along the U.S.-Mexico international boundary. The priority aquifers that were specified include the Hueco-Mesilla Bolsons aquifer in Texas and New Mexico and its counterpart in Mexico, the Conejos-Médanos Aquifer system, and the Santa Cruz and San Pedro aquifers in Arizona (Texas Water Development Board, 2019). The Transboundary Aquifer Assessment Program (TAAP) was started in 2009 and is a collaborative effort between the U.S. Geological Survey, Arizona Water Resources Research Center, New Mexico Water Resources Research Institute, and the Texas Water Resources Institute (U.S. Geological Survey, 2018) to better understand...
The LANDFIRE vegetation layers describe the following elements of existing and potential vegetation for each LANDFIRE mapping zone: environmental site potentials, biophysical settings, existing vegetation types, canopy cover, and vegetation height. Vegetation is mapped using predictive landscape models based on extensive field reference data, satellite imagery, biophysical gradient layers, and classification and regression trees. The environmental site potential (ESP) data layer represents the vegetation that could be supported at a given site based on the biophysical environment. Map units are named according to NatureServe's Ecological Systems classification, which is a nationally consistent set of mid-scale ecological...
This dataset includes the locations of magnetotelluric (MT) stations collected in 2006 in the Southern San Luis Valley, Colorado. The U.S. Geological Survey conducted a series of multidisciplinary studies, including MT surveys, in the San Luis Valley to improve understanding of the hydrogeology of the Santa Fe Group and the nature of the sedimentary deposits comprising the principal groundwater aquifers of the Rio Grande rift. The shallow unconfined and the deeper confined Santa Fe Group aquifers in the San Luis Basin are the main sources of municipal water for the region. The population of the San Luis Valley region is growing rapidly and water shortfalls could have serious consequences. Future growth and land...
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Colorado,
Costilla County,
Electromagnetic surveying,
GIS,
GPS measurement,
The Existing Vegetation Cover (EVC) product depicts percent canopy cover by life form and is an important input to other LANDFIRE mapping efforts. EVC is generated separately for tree, shrub and herbaceous life forms using training data and a series of geospatial predictor layers. Plots from the Forest Inventory and Analysis (FIA) program of USDA Forest Service (https://www.fia.fs.usda.gov/) were used as the training data for tree canopy cover mapping, with canopy cover of the plots estimated from stem-mapped tree data and calibrated with line intercept field measurements of canopy cover (Toney and others 2009). Shrub and herbaceous canopy cover training data were also derived from plot-level, ground-based visual...
The Fire Regime Groups layer characterizes the presumed historical fire regimes within landscapes based on interactions between vegetation dynamics, fire spread, fire effects, and spatial context (Hann and others 2004). Fire regime group definitions have been altered from previous applications (Hann & Bunnell 2001; Schmidt and others 2002; Wildland Fire Communicator's Guide) to best approximate the definitions outlined in the Interagency FRCC Guidebook. These definitions were refined to create discrete, mutually exclusive criteria. This layer was created by linking the LANDFIRE Biophysical Settings (BpS) layer to the Fire Regime Group rulesets. This geospatial product should display a reasonable approximation of...
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