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.
Featured Dataverses

In order to use this feature you must have at least one published or linked 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

31 to 40 of 43 Results
Thesis : Embankment as a carbon sink(IRD - French National Research Institute for Sustainable Development)
May 12, 2021Cas d'étude du projet ANR-BRIDGE
A study on carbon sequestration pathways and mechanisms in topsoil and exposed subsoil data taken from the TALVEG 2 experiment
Various PAD/LAD estimators implemented in AMAPVox 1.8
Various PAD/LAD estimators implemented in AMAPVox 1.8
May 12, 2021 - AMAPVox
VINCENT, Gregoire; PIMONT, François; VERLEY, Philippe, 2021, "Various PAD/LAD estimators implemented in AMAPVox 1.8", https://doi.org/10.23708/1AJNMP, DataSuds, V1
This note briefly describes the implementation of various estimators of PAD/LAD provided in AMAPVox >= 1.8
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, 2021Cas d'étude du projet ANR-BRIDGE
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.
Cas d'étude du projet ANR-BRIDGE(UMR AMAP - CIRAD, CNRS, INRAE, IRD, Univ.Montpellier - France)
Cas d'étude du projet ANR-BRIDGE 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...
L'herbier IRD de Guyane
Jan 1, 2021
Gonzalez, Sophie; Bilot-Guérin, Véronique; Delprete, Piero; Geniez, Chantal; Molino, Jean-François; Smock, Jean-Louis; Théveny, Frédéric; IRD; CIRAD; INRAE; Université de Montpellier; Herbier de Guyane, Cayenne, Guyane française; CNRS, 2021, "L'herbier IRD de Guyane", https://doi.org/10.23708/herbier-guyane-ird, UMR AMAP. CIRAD, CNRS, INRAE, IRD, Univ. Montpellier (France)
L’Herbier IRD de Guyane (CAY), joue un rôle central dans l’acquisition et la diffusion des connaissances sur la flore de la Guyane française, et plus largement du Bouclier Guyanais et de l'Amazonie. Il a été créé en 1965 par R.A.A. Oldeman, et abrite aujourd’hui près de 200 000 s...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Map of the proportion of threatened endemic species per country in relation with environmental and socioeconomic drivers
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
Global maps of habitat suitability probability for 1,485 European endemic plant species
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...
Data from: Allometric models to estimate leaf area for tropical African broadleaved forests
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)....
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.