Filters: Contacts: Michael C Duniway (X)
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A raster dataset representing multi-year mean (2007 to 2013) capacity factors (CF) for a 5.5 MW, 175 meter rotor-diameter, 120 meter hub-height wind turbine (turbine details are from Lopez at al. Forthcoming) for the Conterminous United States. The weather data are modeled using the Weather Research and Forecasting Model run on a 2-km grid over the continental United States at a 5-min resolution (Draxl et al. 2015). Cell values represent the estimated capacity factor (a ratio of net generation to the maximum generation) for wind energy turbine production using the Systems Advisor Model (Blair et al. 2014). The continuous raster were put into 8 quantile bins for interpretation and reporting. For more information...
This is a 16-class categorical raster that displays the intersection of oil and gas probability map from the work by Copeland et al. (2009) and the greater sage grouse breeding habitat probability raster. 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 oil and gas development and greater sage grouse breeding habitat probability (0-25, 25-50, 50-75, and 75-100 % for both; 16 classes). Copeland, H.E., Doherty, K.E., Naugle, D.E., Pocewicz, A., and Kiesecker, J.M., 2009, Mapping oil and gas development potential in the US Intermountain West and estimating impacts to species: PloS...
Drylands occur world-wide and are particularly vulnerable to climate change since dryland ecosystems depend directly on soil water availability that may become increasingly limited as temperatures rise. Climate change will both directly impact soil water availability, and also change plant biomass, with resulting indirect feedbacks on soil moisture. Thus, the net impact of direct and indirect climate change effects on soil moisture requires better understanding. We used the ecohydrological simulation model SOILWAT at sites from temperate dryland ecosystems around the globe to disentangle the contributions of direct climate change effects and of additional indirect, climate change-induced changes in vegetation on...
Categories: Publication;
Types: Citation
These tabular data were compiled for/to monitor vegetation and biocrust cover in a never grazed grassland located in Canyonlands National Park. An objective, or objectives, of our study was to document potential changes in biocrust and vegetation cover and species composition as related to changes in land use and climate change. These data represent a timeseries of long-term vegetation and biocrust monitoring plots, dating from 1996 to 2021. These data were collected at/in Virginia Park, Needles District of Canyonlands National Park, Utah. These data were collected by the U.S. Geological Survey, Southwest Biological Research Center in coordination with the US National Park Service. Data were collected via field...
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,
Abstract: Climate change predictions include warming and drying trends, which are expected to be particularly pronounced in the southwestern United States. In this region, grassland dynamics are tightly linked to available moisture, yet it has proven difficult to resolve what aspects of climate drive vegetation change. In part, this is because it is unclear how heterogeneity in soils affects plant responses to climate. Here, we combine climate and soil properties with a mechanistic soil water model to explain temporal fluctuations in perennial grass cover, quantify where and the degree to which incorporating soil water dynamics enhances our ability to understand temporal patterns, and explore the potential consequences...
Categories: Data,
Publication;
Types: Citation,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2012,
AZ-02,
AZ-03,
AZ-04,
Academics & scientific researchers,
These data were compiled from six automated weather stations that together provide several points in the meteorological record across a latitudinal and elevational gradient in southeastern Utah. Recorded data from these weather stations are associated with several different studies. Meteorological data are important for quantifying short term weather events as well as longer term climate trends. Spatially separated precipitation gauges allow for better characterization of the heterogeneity of precipitation events. These data were collected from six locations running from north to south in southeast Utah. All of the weather stations use Campbell Scientific data loggers and data are collected daily via telecommunications...
Categories: Data,
Data Release - Revised;
Tags: Canyonlands National Park,
Castle Valley,
Kerby Lane,
La Sal Mountains,
Moab,
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30 meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
A raster dataset representing the clay content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil texture, which is described by the proportion of sand, silt, and clay in the non-rock portion of the soil (soil particles < 2mm), is an important determinate of plant suitability, water movement into the soil, erosion vulnerability, and many other things. Clays are the finest soil particle size class and includes soil particles less than 0.002 mm in diameter. This dataset was created using the percent clay 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average percent clay over the top 15 cm was calculated using...
Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of solar resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for solar photovoltaic systems and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and...
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
Across the western U.S., pinyon and juniper trees are expanding into sagebrush and grassland plant communities. This vegetation change has been perceived to have a significant impact on the economic value of these grasslands, which support activities such as livestock grazing and hunting, but expanding pinyon and juniper forests may also lead to increased risk of fire. Over the past several decades pinyon-juniper forests have been removed across large areas of land to improve wildlife habitat and grazing land productivity while reducing risks of wildland fire. What isn’t known is whether these strategies are effective in reaching this goal, especially given that our future climate will likely be hotter and drier...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2022,
CASC,
Data Visualization & Tools,
Data Visualization & Tools,
Forests,
These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
In 2004 U.S. Geological Survey biologists recorded vegetation and biological soil crust (BSC) cover by species as well as measured soil stability and compaction data along 85 transects at the Badger Wash study area in western Colorado. Soil samples were collected and processed for chemistry and texture. Using analysis of variance and nonmetric multidimensional scaling (NMDS) we assessed the cover of vegetation and BSC both grouped by plant physiognomy and dynamic soil properties (soil chemistry/nutrients and stability and compaction) as influenced by the effects of grazing history and soil group (which varied by slope, topographic wetness index and soil properties). Vegetation and BSC cover data were also compared...
This data release presents data used for analyzing spatial and temporal differences in soil surface roughness within selected biocrust communities. These records were collected by ground-based lidar for 121, 1m x 3m soil plots with biological soil crusts (biocrusts). Roughness was estimated from 5 mm resolution data (CloudCompare v. 2.10.2, 2019) for two Great Basin Desert sites (UTTR-1; UTTR-2) in December 2015 and one Chihuahuan Desert site (JER) in February 2016. Data were again collected in June 2018 for UTTR-1 and UTTR-2. Additional field and laboratory data were included within this study to understand differences in soil surface roughness between UTTR and JER as well as between the 2016 and 2018 surveys at...
Water relations in plant communities are influenced both by contrasting functional groups (grasses and shrubs) and by climate change via complex effects on interception, uptake, and transpiration. We modeled the effects of functional group replacement and biomass increase, both of which can be outcomes of invasion and vegetation management, and climate change on ecological drought (soil water potential below which photosynthesis stops) in 340 semiarid grassland sites over 30 year periods. Relative to control vegetation (climate and site‐determined mixes of functional groups), the frequency and duration of drought were increased by shrubs and decreased by annual grasses. The rankings of shrubs, control vegetation,...
Categories: Publication;
Types: Citation
These data were compiled to assess the response of vegetation and biological soil crusts to drought in a semi-arid ecosystem on the Colorado Plateau near Moab, Utah. Objective(s) of our study were to explore how vegetation cover, soil conditions, and growing season nitrogen (N) availability are impacted by multifaceted drying climate conditions using data from a long-term precipitation reduction experiment (30% reduction). In 2010, U.S. Geological Survey biologists installed paired experimental plots with a control plot and a plot covered by a shelter that excluded 35% of incoming precipitation. These 40 sites represent shallow vs. deep soils and sandstone vs. shale parent material. These data were collected at...
These data were compiled to measure airborne horizontal mass flux of sediments moved by wind across soils, climates, vegetation types, and land uses on the Colorado Plateau. Objectives of our study were to quantify spatial and temporal patterns in wind erosion and further our understanding of how soil and site setting, climate, and land uses are controlling wind erosion and horizontal mass flux. These data represent seasonal cumulative horizontal mass flux as measured using passive aspirated sediment traps, Big Spring Number Eight (BSNE) samplers. These data were collected in Grand and San Juan counties, Utah, and Mesa County, Colorado, USA between August 2017 and November 2020. These data were collected by the...
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