UMR AMAP

botAny and Modelling of Plant Architecture and vegetation

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. Our research concerns Mediterranean, temperate and tropical plant communities. It is cutting edge research in botany, plant ecology, agronomy, forestry and in computer science, applied statistics and mathematics.

AMAP BASES DE DONNEES

AMAPVox

ECOMED

Published in Recherche Data Gouv

Published in CIRAD Dataverse

Cas d'étude du projet ANR-BRIDGE

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11 to 20 of 43 Results

Code and data for: Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar Oct 22, 2024 - Published in CIRAD Dataverse Vieilledent, Ghislain; Tagliari, Mario M.; Danthu, Pascal; Leong Pock-Tsy, Jean-Michel; Cornu, Cyrille, 2024, "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 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... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Map of vegetation types in the North of the Republic of Congo Sep 24, 2024 Picard, Juliette; Réjou-Méchain, Maxime, 2024, "Map of vegetation types in the North of the Republic of Congo", https://doi.org/10.23708/59ed1234-bb7f-4914-be50-aadeadf67aa0, DataSuds-geo Tropical moist forests are not the homogeneous green carpet often illustrated in maps or considered by global models. They harbour a complex mixture of forest types organised at different spatial scales. In this study we built a large-scale vegetation map of the North of Congo an... This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways" Aug 19, 2024 - Published in CIRAD Dataverse Rievrs Borges, Erica; Réjou-Méchain, Maxime; Gourlet-Fleury, Sylvie; Mortier, Frédéric; Bry, Xavier; Cornu, Guillaume; Baya, Fidèle; Allah-Barem, Félix; Pélissier, Raphaël, 2024, "Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways"", https://doi.org/10.18167/DVN1/FBYOBP, CIRAD Dataverse Private dataset for reviewers of the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways" Variable names and descriptions Subplot: 20 x 20m subplots Year: Year of the data inventory (interval for produc... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon Jun 13, 2024 - Published in CIRAD Dataverse Momo Takoudjou, Stéphane; Peynaud, Emilie, 2024, "Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon", https://doi.org/10.18167/DVN1/5HZB1F, CIRAD Dataverse 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-... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
The GUYADIV dataset May 17, 2024 Molino, Jean-François; Sabatier, Daniel; Engel, Julien, 2024, "The GUYADIV dataset", https://doi.org/10.23708/RLYCVQ, DataSuds, V1, UNF:6:A9pC2xFo1wPIikryg0bVGQ== [fileUNF] Data collected on the trees inventoried on the forest plots of the GUYADIV network. The first plots were installed in 1986 by Daniel Sabatier and Marie-Françoise Prévost. Since then, the network has grown with the contribution of several other scientists, notably Jean-François Mo...
Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution Apr 8, 2024 - Published in CIRAD Dataverse Viennois, Gaëlle; Bétard, François; Freycon, Vincent; Barbier, Nicolas; Couteron, Pierre, 2024, "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 Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa Mar 18, 2024 Rodda, Suraj Reddy; Fararoda, Rakesh; Jha, Nidhi; Réjou-Méchain, Maxime; Couteron, Pierre; Gopalakrishnan, Rajashekar; Barbier, Nicolas; Alfonso, Alonso; Bako, Ousmane; Bassama, Patrick; Behera, Debabrata; Bissiengou, Pulcherie; Biyiha, Hervé; Brockelman Y., Warren; Chanthorn, Wirong; Chauhan, Prakash; Dadhwal, Vinay Kumar; Dauby, Gilles; Deblauwe, Vincent; Dongmo, Narcis; Droissart, Vincent; Jeyakumar, Selvaraj; Jha, Chandra Shekar; Kandem, Narcisse Guy; Katembo, John; Kougue, Ronald; Leblanc, Hugo; Lewis, Simon; Libalah, Moses; Manikandan, Maya; Martin-Ducup, Olivier; Mbock, Germain; Memiaghe, Hervé; Mofack, Gislain; Mutyala, Praveen; Narayanan, Ayyappan; Nathalang, Anuttara; Oum Ndjock, Gilbert; Ngoula, Fernandez; Nidamanuri, Rama Rao; Pélissier, Raphaël; Saatchi, Sassan; Sagang, Le Bienfaiteur; Salla, Patrick; Simo-Droissart, Murielle; B. Smith, Thomas; Sonké, Bonaventure; Stevart, Tariq; Tjomb, Danièle; Zebaze, Donatien; Zemagho, Lise; Ploton, Pierre, 2024, "South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa", https://doi.org/10.23708/H2MHXF, DataSuds, V2, UNF:6:pUYwyUIpsRWmCnpBju2KxQ== [fileUNF] The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 4...
Maps of central African rainforest composition and vulnerability Nov 20, 2023 - Published in CIRAD Dataverse 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, 2023, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse 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... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century Oct 25, 2023 - Published in CIRAD Dataverse Vieilledent, Ghislain, 2023, "Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century", https://doi.org/10.18167/DVN1/7N2BTU, CIRAD Dataverse 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... This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Démarche qualité AMAP 2017 Oct 24, 2023 - Published in CIRAD Dataverse Perez, Jérôme, 2023, "Démarche qualité AMAP 2017", https://doi.org/10.18167/DVN1/ZPB36L, CIRAD Dataverse Document de mise en place de la démarche qualité dans la création des bases de données. This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Code and data for: Not all species will migrate poleward as the climate warms: the case of the seven baobab species in Madagascar

Oct 22, 2024 - Published in CIRAD Dataverse

Vieilledent, Ghislain; Tagliari, Mario M.; Danthu, Pascal; Leong Pock-Tsy, Jean-Michel; Cornu, Cyrille, 2024, "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

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...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Map of vegetation types in the North of the Republic of Congo

Sep 24, 2024

Picard, Juliette; Réjou-Méchain, Maxime, 2024, "Map of vegetation types in the North of the Republic of Congo", https://doi.org/10.23708/59ed1234-bb7f-4914-be50-aadeadf67aa0, DataSuds-geo

Tropical moist forests are not the homogeneous green carpet often illustrated in maps or considered by global models. They harbour a complex mixture of forest types organised at different spatial scales. In this study we built a large-scale vegetation map of the North of Congo an...

This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.

Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways"

Aug 19, 2024 - Published in CIRAD Dataverse

Rievrs Borges, Erica; Réjou-Méchain, Maxime; Gourlet-Fleury, Sylvie; Mortier, Frédéric; Bry, Xavier; Cornu, Guillaume; Baya, Fidèle; Allah-Barem, Félix; Pélissier, Raphaël, 2024, "Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways"", https://doi.org/10.18167/DVN1/FBYOBP, CIRAD Dataverse

Private dataset for reviewers of the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways" Variable names and descriptions Subplot: 20 x 20m subplots Year: Year of the data inventory (interval for produc...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon

Jun 13, 2024 - Published in CIRAD Dataverse

Momo Takoudjou, Stéphane; Peynaud, Emilie, 2024, "Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon", https://doi.org/10.18167/DVN1/5HZB1F, CIRAD Dataverse

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-...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

The GUYADIV dataset

May 17, 2024

Molino, Jean-François; Sabatier, Daniel; Engel, Julien, 2024, "The GUYADIV dataset", https://doi.org/10.23708/RLYCVQ, DataSuds, V1, UNF:6:A9pC2xFo1wPIikryg0bVGQ== [fileUNF]

Data collected on the trees inventoried on the forest plots of the GUYADIV network. The first plots were installed in 1986 by Daniel Sabatier and Marie-Françoise Prévost. Since then, the network has grown with the contribution of several other scientists, notably Jean-François Mo...

Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution

Apr 8, 2024 - Published in CIRAD Dataverse

Viennois, Gaëlle; Bétard, François; Freycon, Vincent; Barbier, Nicolas; Couteron, Pierre, 2024, "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

Map of landform classes of the Congo Basin and adjacent regions at 900 m of spatial resolution.

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Mar 18, 2024

Rodda, Suraj Reddy; Fararoda, Rakesh; Jha, Nidhi; Réjou-Méchain, Maxime; Couteron, Pierre; Gopalakrishnan, Rajashekar; Barbier, Nicolas; Alfonso, Alonso; Bako, Ousmane; Bassama, Patrick; Behera, Debabrata; Bissiengou, Pulcherie; Biyiha, Hervé; Brockelman Y., Warren; Chanthorn, Wirong; Chauhan, Prakash; Dadhwal, Vinay Kumar; Dauby, Gilles; Deblauwe, Vincent; Dongmo, Narcis; Droissart, Vincent; Jeyakumar, Selvaraj; Jha, Chandra Shekar; Kandem, Narcisse Guy; Katembo, John; Kougue, Ronald; Leblanc, Hugo; Lewis, Simon; Libalah, Moses; Manikandan, Maya; Martin-Ducup, Olivier; Mbock, Germain; Memiaghe, Hervé; Mofack, Gislain; Mutyala, Praveen; Narayanan, Ayyappan; Nathalang, Anuttara; Oum Ndjock, Gilbert; Ngoula, Fernandez; Nidamanuri, Rama Rao; Pélissier, Raphaël; Saatchi, Sassan; Sagang, Le Bienfaiteur; Salla, Patrick; Simo-Droissart, Murielle; B. Smith, Thomas; Sonké, Bonaventure; Stevart, Tariq; Tjomb, Danièle; Zebaze, Donatien; Zemagho, Lise; Ploton, Pierre, 2024, "South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa", https://doi.org/10.23708/H2MHXF, DataSuds, V2, UNF:6:pUYwyUIpsRWmCnpBju2KxQ== [fileUNF]

The dataset contains forest aboveground biomass prediction maps derived from field inventory plot and UAV or airborne LiDAR data over five sites in South Asia and eight sites in Central Africa, together with prediction uncertainty maps. Maps are provided at 100 x 100 m and 40 x 4...

Maps of central African rainforest composition and vulnerability

Nov 20, 2023 - Published in CIRAD Dataverse

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, 2023, "Maps of central African rainforest composition and vulnerability", https://doi.org/10.18167/DVN1/UCNCA7, CIRAD Dataverse

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...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century

Oct 25, 2023 - Published in CIRAD Dataverse

Vieilledent, Ghislain, 2023, "Code for: Spatial scenario of tropical deforestation and carbon emissions for the 21st century", https://doi.org/10.18167/DVN1/7N2BTU, CIRAD Dataverse

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...

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

Démarche qualité AMAP 2017

Oct 24, 2023 - Published in CIRAD Dataverse

Perez, Jérôme, 2023, "Démarche qualité AMAP 2017", https://doi.org/10.18167/DVN1/ZPB36L, CIRAD Dataverse

Document de mise en place de la démarche qualité dans la création des bases de données.

This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.

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