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. 2023 Dec 13;14:8277. doi: 10.1038/s41467-023-44127-9

Table 3.

Parameters and range of methods, data sources, and values used in this study

Parameter Range of methods, data sources, and values used in this study
Projection approach Historical average
Linear time function
2nd order polynomial time function
Global linear model (all 12 driver variables; see Table 4)
Global linear model (300 repetitions of 3–11 random combinations of driver variables)
Regional linear model (all 12 driver variables; see Table 4)
Regional linear model (300 repetitions of 3–11 random combinations of driver variables)
Forest dataset European Space Agency Climate Change Initiative Land Cover (ESA CCI-LC) land cover 300 m, forest defined by land covers 50-90 and 160-170 where tree cover > 15%25. Forest cover for each year was clipped to the previous year to allow only forest loss.
Hansen Global Forest Change 30 m, forest defined by tree cover > 15%23
Hansen Global Forest Change 30 m, forest defined by tree cover > 30%23
Hansen Global Forest Change 30 m, forest defined by tree cover > 60%23
MODIS MCD12Q1.061 land cover 500 m, forest defined by land covers 1-6 under classification Type 1 (International Geosphere Biosphere Programme classes) where tree cover > 60%24. Forest cover for each year was clipped to the previous year to allow only forest loss.
Historical reference years 5–15 years
Starting year 2000–2021 (Hansen)
2001–2020 (MODIS)
1992–2020 (ESA-CCI)
Aboveground biomass (AGB) Spawn et al.27, 300 m
Global Ecosystem Dynamics Investigation (GEDI) L4B28, 25 m
Soto-Navarro et al.26, 300 m
Belowground biomass (BGB) Spawn et al.27, 300 m
Soto-Navarro et al.26, 300 m
Intergovernmental Panel for Climate Change (IPCC) BGB ratios45
Soil organic carbon (SOC) European Soil Data Centre (ESDAC)46, 30 arc sec
OpenLandMap47, 250 m