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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71 to 80 of 3,142 Results

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.
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.
Native plants reported as threatened by identified alien plants in the global IUCN Red List Nov 9, 2022 Pouteau, Robin, 2022, "Native plants reported as threatened by identified alien plants in the global IUCN Red List", https://doi.org/10.23708/6ERBMY, DataSuds, V1, UNF:6:CMYlNd/qh6rEJxXLInXZpg== [fileUNF] This dataset includes 1,407 pairs of threatened native–invasive alien plants extracted from the IUCN Red List of Threatened Species (https://www.iucnredlist.org/). For each pair, the threat category of the threatened native species (NT, VU, EN, CR, EW, EX), its population trend (...
phylo_relatedness-extinction_risk_readme.txt Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List Plain Text - 849 B - MD5: 98bdf8164ecea44b93e45f900741839f Documentation Overall description
phylo_relatedness-extinction_risk_R_script.txt Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List Plain Text - 6.4 KB - MD5: a641029253e981537279ff80f77339d9 Code R code of the analyses performed
Supplementary_table_1.csv Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List Tabular Data - 140.8 KB - 1 Variables, 1407 Observations - UNF:6:CMYlNd/qh6rEJxXLInXZpg== Data 1,407 pairs of threatened native–invasive alien plants. CSV/text file, semicolon delimited (10 variables).
Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines. Apr 13, 2022 - AMAP BASES DE DONNEES Perez, Jerome, 2022, "Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines.", https://doi.org/10.23708/H7GYTB, DataSuds, V3, UNF:6:Rg4omgKiJ8nmN6yKTBKDlA== [fileUNF] Requêtes PostgreSQL développées dans le cadre du projet ECOSFIX pour créer la base de données et en extraire les échantillons, les mesures des rhizotrons, les sites, les caractéristiques de sols, les données météorologiques, les parcelles, les parcelles avec leurs sites et les fi...
ecosfix_init.sql Apr 13, 2022 - Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines. SQL Code - 22.2 MB - MD5: 8303b721ad6fc332c4154d138136805d Code Scripts PostgreSQL d’insertion des données dans la base. - PostgreSQL scripts for inserting data into the database.

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.

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.

Native plants reported as threatened by identified alien plants in the global IUCN Red List

Nov 9, 2022

Pouteau, Robin, 2022, "Native plants reported as threatened by identified alien plants in the global IUCN Red List", https://doi.org/10.23708/6ERBMY, DataSuds, V1, UNF:6:CMYlNd/qh6rEJxXLInXZpg== [fileUNF]

This dataset includes 1,407 pairs of threatened native–invasive alien plants extracted from the IUCN Red List of Threatened Species (https://www.iucnredlist.org/). For each pair, the threat category of the threatened native species (NT, VU, EN, CR, EW, EX), its population trend (...

phylo_relatedness-extinction_risk_readme.txt

Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List

Plain Text - 849 B -

Documentation

Overall description

phylo_relatedness-extinction_risk_R_script.txt

Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List

Plain Text - 6.4 KB -

Code

R code of the analyses performed

Supplementary_table_1.csv

Nov 9, 2022 - Native plants reported as threatened by identified alien plants in the global IUCN Red List

Tabular Data - 140.8 KB - 1 Variables, 1407 Observations -

Data

1,407 pairs of threatened native–invasive alien plants. CSV/text file, semicolon delimited (10 variables).

Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines.

Apr 13, 2022 - AMAP BASES DE DONNEES

Perez, Jerome, 2022, "Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines.", https://doi.org/10.23708/H7GYTB, DataSuds, V3, UNF:6:Rg4omgKiJ8nmN6yKTBKDlA== [fileUNF]

Requêtes PostgreSQL développées dans le cadre du projet ECOSFIX pour créer la base de données et en extraire les échantillons, les mesures des rhizotrons, les sites, les caractéristiques de sols, les données météorologiques, les parcelles, les parcelles avec leurs sites et les fi...

ecosfix_init.sql

Apr 13, 2022 - Projet ECOSFIX : interrogation de la base de données d'observations permettant de déterminer comment un type de forêt affecte les traits physiques et fonctionnels des racines.

SQL Code - 22.2 MB -

Code

Scripts PostgreSQL d’insertion des données dans la base. - PostgreSQL scripts for inserting data into the database.

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