L'unité Forêts et Sociétés étudie les forêts tropicales en tant que systèmes écologiques et sociaux soumis à des changements locaux ou globaux pouvant provenir de déterminants naturels, économiques ou politiques.
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

101 to 110 of 191 Results
TIFF Image - 1,3 MB - MD5: 0498c6118d0b64e8e2d5ac72da30b33d
Datamap
A stack containing the three SCGLR climatic components (CCs) computed over the entire Africa.
TIFF Image - 172,7 KB - MD5: ecd40d541833cc69416217c2dd7ec31b
Datamap
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
Datamap
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
Datamap
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.
Unknown - 2,1 MB - MD5: 94a9d3ab51e889170670e583e2b72d0e
Data
A rds file (to be opened with the R readRDS() function) containing the predictors (climate, soil and anthropogenic index) for extrapolation purpose. CCI correspond to the dominant land use type according to the European Space Agency Climate Change Initiative (ESA-CCI) landcover (...
Unknown - 14,0 MB - MD5: db88c1a5e17ee4984c006585b9724bad
Data
A rds (to be opened with the R readRDS() function) containing the predicted abundances (per ha) of 193 taxa over 11,182 10-km grid cells.
Unknown - 4,0 KB - MD5: 7b14cbb9c1338211802a615ab60c87ec
Data
A rds (to be opened with the R readRDS() function) containing the trait information for the 193 taxa. See Table S2 of Réjou-Méchain et al. 2020 Nature.
15 mars 2021
Bénédet, Fabrice; Cornu, Guillaume, 2019, "Logiciel d'acquisition de mesures dendrométriques pour tablette Android - v3", https://doi.org/10.18167/DVN1/AOGJRY, CIRAD Dataverse, V3
De façon générale, l’application qui s’exécute sur une tablette Android permet de : enregistrer de nouvelles mesures sur des arbres recrutés lors des campagnes antérieures ; ajouter et mesurer de nouveaux recrutés ; visualiser une liste des arbres non encore mesurés ; exporter un...
Adobe PDF - 8,5 MB - MD5: a919673c44bd3b9dd38092fc3188b99e
Documentation
Documentation mise à jour pour campagne d'inventaire 2021
Add Data

Log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.