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UMR AMAP (CIRAD, CNRS, INRAE, IRD, Univ.Montpellier)

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.
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1 to 10 of 12 Results
Thesis : Embankment as a carbon sink(IRD - French National Research Institute for Sustainable Development)
May 12, 2021BRIDGE ANR
A study on carbon sequestration pathways and mechanisms in topsoil and exposed subsoil data taken from the TALVEG 2 experiment
May 12, 2021 - AMAPVox
VINCENT, Gregoire; PIMONT, François; VERLEY, Philippe, 2021, "A note on PAD/LAD estimators implemented in AMAPVox 1.7", https://doi.org/10.23708/1AJNMP, DataSuds, V1
This note briefly describes the implementation of various estimators of PAD/LAD provided in AMAPVox v 1.7
AMAPVox(IRD - French National Research Institute for Sustainable Development)
AMAPVox logo
May 12, 2021
AMAPVox, LiDAR data voxelisation software
Guyane(IRD - French National Research Institute for Sustainable Development)
May 10, 2021BRIDGE ANR
Cas d'étude du projet BRIDGE concernant la région Guyane visant à valoriser à la fois, des données géo-référencées (Parcelles Guyadiv, Herbier de Cayenne,...) et des données liées pouvant être des données d'inventaire, des collections, d'images LIDAR ou d'autres types de données.
BRIDGE ANR(IRD - French National Research Institute for Sustainable Development)
BRIDGE ANR logo
May 10, 2021
L’objectif du projet BRIDGE est de proposer une feuille de route pour implémenter les principes FAIR dans les entrepôts de données des trois partenaires qui de plus utilisent le même logiciel libre (Dataverse). Les actions se situent à plusieurs niveaux : sur la gouvernance des d...
Nov 16, 2020
Pouteau, Robin; Brunel, Caroline; Dawson, Wayne; Essl, Franz; Kreft, Holger; Lenzner, Bernd; Meyer, Carsten; Pergl, Jan; Pysek, Petr; Seebens, Hanno; Weigelt, Patrick; Winter, Marten; van Kleunen, Mark, 2020, "Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers", https://doi.org/10.23708/7TANIW, DataSuds, V1
This dataset is a shapefile representing the proportion of threatened endemic species (both plants and animals) in 247 countries along with associated environmental and socioeconomic drivers. The geographic coordinate system is World Geodetic System 1984 (EPSG: 4326). Information...
ECOMED DATABASE(IRD - French National Research Institute for Sustainable Development)
Oct 27, 2020ECOMED
Base de données du projet erasmus + ECOMED
Oct 26, 2020
POUTEAU, ROBIN; et al., 2020, "Global maps of habitat suitability probability for 1,485 European endemic plant species", https://doi.org/10.23708/RNGS8Z, DataSuds, V1
This dataset includes 1,485 raster files (.gri format) representing global maps of habitat suitability probability for the most widespread European endemic plant species. 272 species are already recorded as naturalized outside Europe and 1,213 species are not yet recorded as natu...
Aug 3, 2020
Sirri, Nelly F.; Libalah, Moses B.; Momo, Stephane T.; Ploton, Pierre; Medjibe, Vincent; Kamdem, Narcisse G.; Mofack II., Gislain; Sonké, Bonaventure; Barbier, Nicolas, 2020, "Data from: Allometric models to estimate leaf area for tropical African broadleaved forests", https://doi.org/10.5061/dryad.63cj030, DataSuds, V1
Direct and semi-direct estimations of leaf area (LA) and leaf area index (LAI) are scarce in dense tropical forests despite the importance of such measurements to calibrate remote-sensing products, forest dynamics and biogeochemical models (e.g. Dynamic Global Vegetation Models)....
Aug 3, 2020
PLOTON, Pierre; MORTIER, Frédéric; BARBIER, Nicolas; CORNU, Guillaume; REJOU-MECHAIN, Maxime; ROSSI, Vivien; ALONSO, Alfonso; BASTIN, Jean-François; BAYOL, Nicolas; BISSIENGOU, Pulchérie; CHUYONG, Georges; DOUCET, Jean-Louis; DROISSART, Vincent; KAMDEM, Narcisse Guy; KENFACK, David; MEMIAGHE, Hervé; MOSES, Libalah; SONKE, Bonaventure; TEXIER, Nicolas; THOMAS, Duncan; ZEBAZE, Donatien; PELISSIER, Raphaël; GOURLET-FLEURY, Sylvie, 2020, "A 1-km resolution dataset of African humid tropical forests aboveground biomass derived from management inventories", https://doi.org/10.6084/m9.figshare.11865450, DataSuds, V1
The CoFor-AGB dataset is distributed as a four layers GeoTIFF file. The file projection system is World Mercator (EPSG: 3395). Layers’ information are provided below. Layer 1: Mean pixel AGB (in Mg.ha-1) Layer 2: Number of field plots within the pixel Layer 3: Mean date of plots...
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