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Filters: Tags: soil temperature (X) > partyWithName: John B Bradford (X)

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These data represent simulated soil temperature and moisture conditions for current climate, and for future climate represented by all available climate models at two time periods during the 21st century. These data were used to: 1) quantify the direction and magnitude of expected changes in several measures of soil temperature and soil moisture, including the key variables used to distinguish the regimes used in the R and R categories; 2) assess how these changes will impact the geographic distribution of soil temperature and moisture regimes; and 3) explore the implications for using R and R categories for estimating future ecosystem resilience and resistance.
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These data were compiled using a new multivariate matching algorithm that transfers simulated soil moisture conditions (Bradford et al. 2020) from an original 10-km resolution to a 30-arcsec spatial resolution. Also, these data are a supplement to a previously published journal article (Bradford et al., 2020) and USGS data release (Bradford and Schlaepfer, 2020). The objectives of our study were to (1) characterize geographic patterns in ecological drought under historical climate, (2) quantify the direction and magnitude of projected responses in ecological drought under climate change, (3) identify areas and drought metrics with projected changes that are robust across climate models for a representative set of...
These data were compiled as a supplement to a previously published journal article (Bradford et al., 2019), that employed a ecosystem water balance model to characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America. Also, these data are associated with a published USGS data release (Bradford and Schlaepfer, 2019). The objectives of our study were to (1) characterize current and future patterns in soil temperature and moisture conditions in dryland areas of western North America, (2) evaluate the impact of these changes on estimation of resilience and resistance among a representative set of climate scenarios. These data represent geographic patterns...
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These data consist of environmental covariates, measured plot-level and tree characteristics for seven coniferous tree species across the southwestern United States. The objectives of the study were to assess how growth characteristics of conifer tree species vary across environmental gradients and across the different tree species. These data represent conifer growth under a variety of stand and site characteristics. These data were collected in the summer of 2019, from sites across Nevada, Arizona, New Mexico and Colorado, and collected by field crews directed by Matt Petrie (University of Nevada Las Vegas), Rob Hubbard (USDA Forest Service), Tom Kolb (Northern Arizona University) and John Bradford (U.S. Geological...
Categories: Data; Tags: Arizona, Botany, California, Climatology, Colorado, All tags...


    map background search result map search result map Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada High-resolution maps of historical and 21st century soil temperature and moisture data using multivariate matching algorithms for drylands of western U.S. and Canada Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States Site characterization and regeneration attributes of managed and unmanaged ponderosa pine sites in the southwestern United States Historical and 21st century soil temperature and moisture data for drylands of western U.S. and Canada High-resolution maps of historical and 21st century ecological drought metrics using multivariate matching algorithms for drylands of western U.S. and Canada High-resolution maps of historical and 21st century soil temperature and moisture data using multivariate matching algorithms for drylands of western U.S. and Canada