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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11 to 20 of 3,166 Results
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...
GUYADIV_data-dictionary_v1.tab
May 17, 2024 - The GUYADIV dataset
Tabular Data - 7.1 KB - 5 Variables, 60 Observations - UNF:6:y32TC9YkC8rqxdVzw6eoJw==
data dictionary
GUYADIV_plots_v1.tab
May 17, 2024 - The GUYADIV dataset
Tabular Data - 58.0 KB - 32 Variables, 240 Observations - UNF:6:z7CS31cUQUG1UR6yKx4bRw==
plots metadata
GUYADIV_trees_v1.tab
May 17, 2024 - The GUYADIV dataset
Tabular Data - 17.8 MB - 29 Variables, 90409 Observations - UNF:6:J4K6trXLKaTW+geLq+VgJw==
Main dataset
Readme_GUYADIV_v1.pdf
May 17, 2024 - The GUYADIV dataset
Adobe PDF - 1.5 MB - MD5: 1223a468fc3e509ce6a43eaa5b7aebb1
Readme file
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
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...
01_Betul_AGB100.tif
01_Betul_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 - 106.7 KB - MD5: 7f2634def50f17fc40ca6762870e307b
Data
01_Betul_AGB40.tif
01_Betul_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 - 670.4 KB - MD5: f1f6a2ea43f65b250bd8bfdde282678e
Data
02_Achanakmar_AGB100.tif
02_Achanakmar_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 - 117.3 KB - MD5: 05120b73f75864f23b3b077cbedd5ec7
Data
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