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Person

John B Bradford

Research Ecologist

Southwest Biological Science Center

Email: jbradford@usgs.gov
Office Phone: 928-556-7300
Fax: (928) 556-9111
ORCID: 0000-0001-9257-6303

Location
Bldgs.4And5
2255 North Gemini Drive
Flagstaff , AZ 86001
US

Supervisor: Jeffrey E Lovich
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SOILWAT2 is a daily time step, multiple soil layer, process-based simulation model of ecosystem water balance. Inputs to SOILWAT2 include local meteorology (daily temperature and precipitation, mean monthly relative humidity, wind speed and cloud cover), vegetation (monthly total biomass, % live biomass, surface litter, belowground rooting profile) and soil texture (gravel, sand, silt, and clay) to simulate daily ecosystem water balance. SOILWAT2 simulates precipitation interception by vegetation and litter, evaporation of intercepted water, snowmelt, sublimation and wind redistribution of snow, moisture infiltration, saturated and unsaturated percolation and hydraulic redistribution for each soil layer, bare-soil...
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Monthly Standardize Precipitation Evapotranspiration Index (SPEI), Daily soil-water potential (MPa) and soil temperature (degree C) data for plots from SageSuccess. The SageSuccess Project is a joint effort between USGS, BLM, and FWS to understand how to establish big sagebrush and ultimately restore functioning sagebrush ecosystems. Improving the success of land management treatments to restore sagebrush-steppe is important for reducing the long-term impacts of rangeland fire on sage-grouse and over 350 other wildlife species that use these habitats.
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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.
Severe droughts cause widespread tree mortality and decreased growth in forests across the globe. Forest managers are seeking strategies to increase forest resistance (minimizing negative impacts during the drought) and resilience (maximizing recovery rates following drought). Limited experimental evidence suggests that forests with particular structural characteristics have greater capacity to resist change and or recover ecosystem function in the face of drought. However, the applicability of these results to practical forest conservation and management remains unclear. This project utilized an existing network of eight long-term, operational-scale, forest management experiments from Arizona to Maine to examine...
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