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.
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

1 to 7 of 7 Results
Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon
20 déc. 2023
Momo Takoudjou, Stéphane; Peynaud, Emilie, 2021, "Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon", https://doi.org/10.18167/DVN1/5HZB1F, CIRAD Dataverse, V3
This data set concerns a total of 55 cocoa trees grown in cocoa based agroforestry systems from Central region of Cameroon. The data collection campaign was carried out in the district of Bokito (4°34 latitude N and 11°07 longitude E), in the village of Yorro located in a forest-...
Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century
Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century
26 mai 2023
Vieilledent, Ghislain, 2021, "Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century", https://doi.org/10.18167/DVN1/7N2BTU, CIRAD Dataverse, V5, UNF:6:3ixUzws0EDffXVdSfjBtAw== [fileUNF]
This dataset includes the code used to produce the results of the following scientific article: Vieilledent G., C. Vancutsem, C. Bourgoin, P. Ploton, P. Verley and F. Achard. Spatial scenario of tropical deforestation and carbon emissions for the 21st century. bioRxiv. doi: 10.11...
Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution
Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution
30 janv. 2023
Viennois, Gaëlle; Bétard, François; Freycon, Vincent; Barbier, Nicolas; Couteron, Pierre, 2023, "Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution", https://doi.org/10.18167/DVN1/ZRFRGD, CIRAD Dataverse, V1
Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution.
Code and data for: Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar
Code and data for: Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar
14 sept. 2021
Vieilledent, Ghislain; Tagliari, Mario M.; Danthu, Pascal; Leong Pock-Tsy, Jean-Michel; Cornu, Cyrille, 2021, "Code and data for: Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar", https://doi.org/10.18167/DVN1/LIALRR, CIRAD Dataverse, V2, UNF:6:lndJF8z2UN65DOVze0ompQ== [fileUNF]
This repository includes code and data for the following article: TAGLIARI Mario M., Pascal DANTHU, Jean-Michel LEONG POCK TSY, Cyrille CORNU, Jonathan LENOIR, Vítor CARVALHO-ROCHA, Ghislain VIEILLEDENT. 2021. Not all species will migrate poleward as the climate warms: the case o...
Maps of central African rainforest composition and vulnerability
Maps of central African rainforest composition and vulnerability
22 avr. 2021 - UPR Forêts et Sociétés
Maxime Réjou-Méchain; Frédéric Mortier; Jean-Francois Bastin; Guillaume Cornu; Nicolas Barbier; Nicolas Bayol; Fabrice Bénédet; Xavier Bry; Gilles Dauby; Vincent Deblauwe; Jean-Louis Doucet; Charles Doumenge; Adeline Fayolle; Claude Garcia; Jean-Paul Kibambe; Jean-Joël Loumeto; Alfred Ngomanda; Pierre Ploton; Bonaventure Sonke; Catherine Trottier; Ruppert Vimal; Olga Yongo; Raphael Pelissier; Sylvie Gourlet-Fleury, 2021, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse, V3
This is a dataset repository for the manuscript: Réjou-Méchain, M., Mortier, F., Bastin, J.-F., Cornu G., Barbier, N., Bayol, N., Bénédet, F., Bry, X., Dauby, G., Deblauwe, V., Doucet, J.-L., Doumenge, C., Fayolle, A., Garcia, C., Kibambe, J.-P., Loumeto, J.-J., Ngomanda, A., Plo...
Démarche qualité AMAP 2017
Démarche qualité AMAP 2017
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.
AMAP-DATA Gestion des données scientifiques(CIRAD-UMR AMAP)
18 déc. 2019
Entrepôt de données du pôle Gestion des données scientifiques de l'UMR AMAP
Add Data

Log in to create a dataverse or add a dataset.

Log In
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.