This project is embedded in the project 'High-resolution monitoring of avoided carbon emissions and carbon restoration potentials from land use change', funded by German Stifterverband für die Deutsche
Spearman rank correlation coefficient between annual anomalies in forest biomass carbon and a) annual anomalies in mean air temperature and b) annual anomalies in total precipitation (Bultan et al.,2022).
Regional carbon fluxes from woody vegetation due to environmental processes produced by the model-data integration approach described in Bultan et al.,2022. Description Variables: - SLAND_B_regs: Aggregation
Carbon fluxes due to anthropogenic land use and land cover changes with (ELUC_trans) and without (ELUC_fix) environmental impacts on woody vegetation carbon produced by the model-data integration approach