The ORNL DAAC recently released the following new Carbon Monitoring System (CMS) dataset by Stell, E., et al. (2021):
This dataset provides global gridded estimates of annual soil respiration (Rs) and soil heterotrophic respiration (Rh) and associated uncertainties at 1 km resolution. Mean soil respiration was estimated using a quantile regression forest model utilizing data from the global Soil Respiration Database Version 5 (SRDB-V5) and covariates of mean annual temperature, seasonal precipitation, and vegetative cover. The SRDB holds results of field studies of soil respiration from around the globe. A total of 4,115 records from 1,036 studies were selected from SRDB-V5. These soil respiration records were combined with global meteorological, land cover, and topographic data and then evaluated with variable selection using random forests. Global heterotrophic respiration was calculated from Rs estimates.
The NASA CMS program is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. NASA satellite observations and modeling/analysis capabilities are used to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS data products are designed to inform near-term policy development and planning.
Additional data from CMS and other relevant links can be found on the ORNL DAAC's CMS Project Page.
Citation: Stell, E., D.L. Warner, J. Jian, B.P. Bond-Lamberty, and R. Vargas. 2021. Global Gridded 1-km Soil and Soil Heterotrophic Respiration Derived from SRDB v5. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1928