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TIFF Image - 33,6 MB -
MD5: d34a7b83feec929e561ce6af2de26a9f
A stack containing predicted current and future (2085) anthropogenic pressure values in central Africa. |
TIFF Image - 213,3 KB -
MD5: d32b6bc9a3b6c6ccf8d465e57aa2a2d3
A stack containing the three non-standardized components of vulnerability (sensitivity, exposition and adaptation) and the resulting vulnerability to climate change for central African forests, respectively. See Fig. 4 of Réjou-Méchain et al. 2020 Nature. |
TIFF Image - 1,3 MB -
MD5: 0498c6118d0b64e8e2d5ac72da30b33d
A stack containing the three SCGLR climatic components (CCs) computed over the entire Africa. |
TIFF Image - 172,7 KB -
MD5: ecd40d541833cc69416217c2dd7ec31b
A stack containing the scores of the three first axes of a correspondence analysis (CA) performed on the predicted abundances of 193 tree taxa (CA axes 1 to 3). See Fig. 1 and Extended Data Fig. 2 of Réjou-Méchain et al. 2020 Nature. |
TIFF Image - 11,2 KB -
MD5: 0b84c1383ed4e27133ffbe84735d2be3
A raster containing the ten main forest types across central Africa, derived from a hierarchical clustering of the predicted floristic gradients (five first axes of a correspondence analysis performed on the predicted abundances of 193 taxa). See Fig. 3 of Réjou-Méchain et al. 20... |
TIFF Image - 152,6 KB -
MD5: 57058141a65ba22193b38fb20b7254b7
A stack containing the community weighted mean of three functional traits: wood density, deciduousness and maximum potential diameter calculated with the predicted abundances of 193 tree taxa, respectively. See Fig. 2 of Réjou-Méchain et al. 2020 Nature. |
