We investigated the potential magnitude and duration of forest evapotranspiration (ET) decreases resulting from forest-thinning treatments and wildfire in west-slope watersheds of the Sierra Nevada range in California, USA, using a robust empirical relation between Landsat-derived mean-annual normalized difference vegetation index (NDVI) and ET measured at flux towers. Among forest treatments, the minimum observed NDVI change required to produce a significant departure from control plots with NDVI of about 0.70 was −0.09 units, corresponding to a basal-area reduction of 29.1 m2/ha (45% reduction) and equivalent to an estimated ET reduction of 153 mm/year (21% change; approximate mean annual precipitation = 1,000&nbs...
Forest biomass reductions in overgrown forests have the potential to provide hydrologic benefits in ...
The gridded annual evapotranspiration (ET) from 1985 to 2019 were calculated based on the correlatio...
We combined observations from four eddy covariance towers with remote sensing to better understand t...
We investigated the potential magnitude and duration of forest evapotranspiration (ET) decreases res...
We assessed the response of densely forested watersheds with little apparent annual water limitation...
We used Landsat-based measures of annual evapotranspiration (ET) to explore the effects of wildfires...
The work presented here was motivated by a need to better understand components of the water balance...
The mountain watersheds of the Sierra Nevada supply the majority of California's water, but this sup...
We applied an eco-hydrologic model (Regional Hydro-Ecologic Simulation System [RHESSys]), constraine...
This study examines the post-fire biogeophysical and biochemical dynamics after several high-severit...
The Sierra Nevada of California is a region where large wildfires have been suppressed for over a ce...
Watershed managers require accurate, high-spatial-resolution evapotranspiration (ET) data to evaluat...
Fire suppression in many dry forest types has left a legacy of dense, homogeneous forests. Such land...
Spatially resolved annual evapotranspiration was calculated across the 14 main river basins draining...
In the hydrological cycle, evapotranspiration (ET) transfers moisture from the land surface to the a...
Forest biomass reductions in overgrown forests have the potential to provide hydrologic benefits in ...
The gridded annual evapotranspiration (ET) from 1985 to 2019 were calculated based on the correlatio...
We combined observations from four eddy covariance towers with remote sensing to better understand t...
We investigated the potential magnitude and duration of forest evapotranspiration (ET) decreases res...
We assessed the response of densely forested watersheds with little apparent annual water limitation...
We used Landsat-based measures of annual evapotranspiration (ET) to explore the effects of wildfires...
The work presented here was motivated by a need to better understand components of the water balance...
The mountain watersheds of the Sierra Nevada supply the majority of California's water, but this sup...
We applied an eco-hydrologic model (Regional Hydro-Ecologic Simulation System [RHESSys]), constraine...
This study examines the post-fire biogeophysical and biochemical dynamics after several high-severit...
The Sierra Nevada of California is a region where large wildfires have been suppressed for over a ce...
Watershed managers require accurate, high-spatial-resolution evapotranspiration (ET) data to evaluat...
Fire suppression in many dry forest types has left a legacy of dense, homogeneous forests. Such land...
Spatially resolved annual evapotranspiration was calculated across the 14 main river basins draining...
In the hydrological cycle, evapotranspiration (ET) transfers moisture from the land surface to the a...
Forest biomass reductions in overgrown forests have the potential to provide hydrologic benefits in ...
The gridded annual evapotranspiration (ET) from 1985 to 2019 were calculated based on the correlatio...
We combined observations from four eddy covariance towers with remote sensing to better understand t...