L'UMR AMAP ( BotAnique et Modélisation de l'Architecture des Plantes et des végétations ) est une unité interdisciplinaire qui travaille à l'acquisition de connaissances fondamentales sur les plantes et les végétations dans le but de prévoir la réponse des écosystèmes aux forçages environnementaux, en termes de distribution/conservation des espèces et de la biodiversité, production des cultures agronomiques, stockage du carbone dans la biomasse végétale, protection de l'environnement et des services écosystèmiques.

AMAP joint research unit (French acronym UMR) is an interdisciplinary laboratory that conducts basic research on plants and plant communities with the aim of predicting ecosystems responses to environmental forcing, in terms of the distribution/conservation of species and biodiversity, crop production, carbon storage in plant biomass, protection of the environment and the provision of ecosystem services.
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391 to 400 of 408 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 janv. 2020 - AMAP-DATA Gestion des données scientifiques
Perez, Jérôme, 2020, "Démarche qualité AMAP 2017", https://doi.org/10.18167/DVN1/ZPB36L, CIRAD Dataverse, V1
Document de mise en place de la démarche qualité dans la création des bases de données.
Adobe PDF - 158,6 KB - MD5: 3617b7c6c027dc91e0cab84b028fd7b7
Adobe PDF - 87,0 KB - MD5: 9adc08bd9f5516250047cec4827e35f8
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