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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61 to 70 of 3,139 Results

11_Bouamir_AGB40.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 53.4 KB - MD5: b96088576da2093412e4cdbd0e10f84f Data
12_Mabounie_AGB100.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 155.7 KB - MD5: de5f1f69713f551918c8aee5ae24a2a1 Data
12_Mabounie_AGB40.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 989.0 KB - MD5: 72261002bf892a4599314a9a0dc2dcf7 Data
13_Rabi_AGB100.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 11.8 KB - MD5: 750dfbbb41ae8f02f8e40148fc2ac407 Data
13_Rabi_AGB40.tif Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa TIFF Image - 67.9 KB - MD5: 639189ab868bad87962ab65dfe41ab56 Data
1_LiDAR-based_biomass_maps_ReadMe.txt Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa Plain Text - 1.8 KB - MD5: 79b5092ff6242023e465f6fb56abfda6 Documentation Data citation and description ReadMe file
Site-level_Binned_covariance_matrices_18Dec23.xlsx Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa MS Excel Spreadsheet - 53.1 KB - MD5: b1f921a17a19e3f1ee7eef77c0adff45 DataDocumentation
Site-level-Variance-Covariance-Matrices-and-Parameter-Summary_18Dec23.tab Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa Tabular Data - 1.6 KB - 13 Variables, 19 Observations - UNF:6:pUYwyUIpsRWmCnpBju2KxQ== DataDocumentation
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.

11_Bouamir_AGB40.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 53.4 KB -

Data

12_Mabounie_AGB100.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 155.7 KB -

Data

12_Mabounie_AGB40.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 989.0 KB -

Data

13_Rabi_AGB100.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 11.8 KB -

Data

13_Rabi_AGB40.tif

Mar 18, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

TIFF Image - 67.9 KB -

Data

1_LiDAR-based_biomass_maps_ReadMe.txt

Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Plain Text - 1.8 KB -

Documentation

Data citation and description ReadMe file

Site-level_Binned_covariance_matrices_18Dec23.xlsx

Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

MS Excel Spreadsheet - 53.1 KB -

DataDocumentation

Site-level-Variance-Covariance-Matrices-and-Parameter-Summary_18Dec23.tab

Mar 5, 2024 - South Asian and Central African maps from: LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa

Tabular Data - 1.6 KB - 13 Variables, 19 Observations -

DataDocumentation

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.

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