Landscape carbon (C) flux estimates are necessary for assessing the ability of terrestrial ecosystems to buffer further increases in anthropogenic carbon dioxide (CO2) emissions. Advances in remote sensing have allowed for coarse-scale estimates of gross primary productivity (GPP) (e.g., MODIS 17), yet efforts to assess spatial patterns in respiration lag behind those of GPP. Here, we demonstrate a method to predict growing season soil respiration at a regional scale in a forested ecosystem. We related field measurements (n=144) of growing season soil respiration across subalpine forests in the Southern Rocky Mountains ecoregion to a suite of biophysical predictors with a Random Forest model (30 m pixel size). We...
Categories: Data;
Tags: Colorado,
Ecology,
Forestry,
Fraser,
GLEES, All tags...
Landsat,
MODIS,
New Mexico,
Niwot,
Remote Sensing,
USGS Science Data Catalog (SDC),
Wyoming,
carbon,
eddy covariance,
soil respiration,
southern Rocky Mountains,
subalpine forests, Fewer tags
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