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These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data;
Tags: Achnatherum hymenoides,
Botany,
C3 photosynthesis,
C4 photosynthesis,
Canyonlands National Park, All tags...
Climatology,
Colorado Plateau,
Ecology,
Ephedra viridis,
Geography,
Indian ricegrass,
Information Sciences,
Islands of Fertility,
James' galleta,
Needles District,
Pleuraphis jamesii,
Soil Sciences,
USGS Science Data Catalog (SDC),
Utah,
ambient precipitation,
biogeochemical cycling,
biogeochemical data,
biogeochemistry,
biomass,
biota,
carbon,
carbon concentrations,
control treatments,
cool-season drought treatments,
data release,
drought seasonality,
droughts,
dryland ecosystems,
ecosystems,
experimental plots,
experimental seasonal drought,
field inventory and monitoring,
field measurements,
field sampling,
geoscientificInformation,
interspace cover estimates,
mormon tea,
nitrogen,
nitrogen concentrations,
percent cover estimates,
perennial grasses,
phosphorus,
phosphorus concentrations,
photosynthesis,
plant community composition,
plants (organisms),
precipitation (atmospheric),
precipitation treatments,
shrubland ecosystems,
soil cores,
soil moisture,
soil sciences,
soil volumetric water content,
southeastern Utah,
vegetation,
warm-season drought treatments, Fewer tags
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These data were compiled for use by researchers and land managers in studies of post-grazing change in Capitol Reef National Park. The data were initially used for and are associated with the McNellis et al., 2023 (see Larger Work Citation). Objective(s) of our study were to study landscape change (specifically plant cover measured through remote sensing) through time in Capitol Reef National Park. These data represent land cover and eight explanatory covariates measured through remote sensing over 21-30 years on two grazing allotments in Capitol Reef National Park, USA. These data were compiled and created for Capitol Reef National Park, Utah, USA from December 2020 to December 2022. These data were created by...
Categories: Data;
Tags: Botany,
Capitol Reef National Monument,
Climatology,
Colorado Plateau,
Ecology, All tags...
Geography,
Information Sciences,
Remote Sensing,
Soil Sciences,
USGS Science Data Catalog (SDC),
Utah,
air temperature,
allotment retirement,
atmospheric and climatic processes,
biota,
climate,
climatologyMeteorologyAtmosphere,
cost-distance,
data release,
edaphic,
environment,
fractional snow cover,
geoscientificInformation,
grazing allotments,
grazing intensity,
habitat alteration and disturbance,
land cover change,
land management,
land use and land cover,
livestock grazing,
livestock removal,
location,
post-grazing landscape,
precipitation (atmospheric),
snow and ice cover,
soil geomorphic unit,
soil resources,
south-central Utah,
spatiotemporal extents,
topography, Fewer tags
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This is a 16-class categorical raster that displays the intersection of multi-year mean capacity factors (CF) for wind (from the work by Blair et al. 2016 and Maclaurin et al. 2019) and the greater sage grouse breeding habitat probability raster (Doherty 2016). We have divided each probability into quartiles, and then intersected those two 4-class rasters to create a new raster that classifies most areas in the intermountain west into joined wind system development and greater sage grouse breeding habitat probability (<25, 25-50, 50-75, and >75% for both; 16 classes). For more information and further renewable data, please visit https://maps.nrel.gov/. The purpose of this dataset is to represent the matrix of wind...
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This is a 16-class categorical raster that displays the intersection of multi-year mean capacity factors (MCF) for wind (Maclaurin et al. 2019) and the pygmy rabbit habitat probability raster (Smith et al. 2019). We have divided each source continuous raster into four classes, and then intersected those two 4-class rasters to create a new raster that classifies most areas in the Intermountain West into joined wind system development and pygmy rabbit habitat probability (four quantiles for wind MCF and <0.3167, 0.3167-0.4661, 0.4661-0.67073, and >0.67073 for habitat probability; 16 classes). For more information and further renewable data, please see: https://maps.nrel.gov/. Maclaurin, G, Grue, N., Lopez, A., Heimiller,...
Tags: Arizona,
CONUS,
California,
Colorado,
Conterminous United States, All tags...
Contiguous United States,
Idaho,
Intermountain West,
Montana,
Nevada,
Oregon,
Utah,
Wyoming,
habitats,
pygmy rabbit,
smart energy,
wind energy, Fewer tags
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This is a 16-class categorical raster that displays the intersection of multi-year mean capacity factors (MCF) for solar photovoltaic systems (Maclaurin et al. 2019) and the pygmy rabbit habitat probability raster (Smith et al. 2019). We have divided each source continuous raster into four classes, and then intersected those two 4-class rasters to create a new raster that classifies most areas in the intermountain west into joined photovoltaic system development and pygmy rabbit habitat probability (four quantiles for photovoltaic MCF and <0.3167, 0.3167-0.4661, 0.4661-0.67073, and >0.67073 for habitat probability; 16 classes). For more information and further renewable data, please see: https://maps.nrel.gov/...
Tags: Arizona,
CONUS,
California,
Colorado,
Conterminous United States, All tags...
Contiguous United States,
Idaho,
Intermountain West,
Montana,
Nevada,
Oregon,
Utah,
Wyoming,
habitats,
pygmy rabbit,
smart energy,
solar energy, Fewer tags
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