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 72 Results
Sep 24, 2024
Picard, Juliette; Réjou-Méchain, Maxime, 2024, "Map of vegetation types in the North of the Republic of Congo", https://doi.org/10.23708/59ed1234-bb7f-4914-be50-aadeadf67aa0, DataSuds-geo
Tropical moist forests are not the homogeneous green carpet often illustrated in maps or considered by global models. They harbour a complex mixture of forest types organised at different spatial scales. In this study we built a large-scale vegetation map of the North of Congo an...
This dataset is harvested from another repository. Clicking the link will take you directly to the source of the data.
Aug 19, 2024 - Published in CIRAD Dataverse
Rievrs Borges, Erica; Réjou-Méchain, Maxime; Gourlet-Fleury, Sylvie; Mortier, Frédéric; Bry, Xavier; Cornu, Guillaume; Baya, Fidèle; Allah-Barem, Félix; Pélissier, Raphaël, 2024, "Dataset for the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways"", https://doi.org/10.18167/DVN1/FBYOBP, CIRAD Dataverse
Private dataset for reviewers of the article entitled "Evolutionary diversity impacts forest biomass and productivity through disturbance-mediated ecological pathways" Variable names and descriptions Subplot: 20 x 20m subplots Year: Year of the data inventory (interval for produc...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 13, 2024 - Published in CIRAD Dataverse
Momo Takoudjou, Stéphane; Peynaud, Emilie, 2024, "Cocoa tree point clouds obtained by terrestrial Lidar scanning in agroforestry systems in Cameroon", https://doi.org/10.18167/DVN1/5HZB1F, CIRAD Dataverse
This data set concerns a total of 55 cocoa trees grown in cocoa based agroforestry systems from Central region of Cameroon. The data collection campaign was carried out in the district of Bokito (4°34 latitude N and 11°07 longitude E), in the village of Yorro located in a forest-...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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...
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.
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...
Jan 10, 2024 - Published in CIRAD Dataverse
Chave, Jérôme; Phillips, Oliver; Fauset, Sophie; Feldpausch, Ted; Monteagudo-Mendoza, Abel; Réjou-Méchain, Maxime; Baraloto, Christopher; Engel, Julien; Pétronelli, Pascal, 2024, ""Petit Plateau" permanent plots fifth census, 2012, Nouragues forest", https://doi.org/10.18167/DVN1/TZ1RL9, CIRAD Dataverse
Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2012 census. The mission of the Nouragues research Station is to foster scientific resear...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 10, 2024 - Published in CIRAD Dataverse
Chave, Jérôme; Gloor, Emanuel; Phillips, Oliver; Baraloto, Christopher; Engel, Julien; Pétronelli, Pascal; Baisie, Michel; Bézard, Vincent; Blanc, Lilian; Feldpausch, Ted; Monteagudo-Mendoza, Abel; Naisso, Pétrus, 2024, ""Petit Plateau" permanent plots fourth census, 2008, Nouragues forest", https://doi.org/10.18167/DVN1/NSDFSI, CIRAD Dataverse
Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2008 census. The mission of the Nouragues research Station is to foster scientific resear...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 10, 2024 - Published in CIRAD Dataverse
Villiers, Jean-François; Prévost, Marie-Françoise; Poncy, Odile; Sabatier, Daniel; Feuillet, Christian, 2024, ""Parare-Arataye" permanent plots first census, 1985, Nouragues forest", https://doi.org/10.18167/DVN1/KOVHKI, CIRAD Dataverse
Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 1985 census. The mission of the Nouragues research Station is to foster scientific resear...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jan 10, 2024 - Published in CIRAD Dataverse
Chave, Jérôme; Phillips, Oliver; Réjou-Méchain, Maxime; Monteagudo-Mendoza, Abel; Feldpausch, Ted; Fauset, Sophie; Pétronelli, Pascal; Baraloto, Christopher; Engel, Julien, 2024, ""Grand Plateau" permanent plots fifth census, 2012, Nouragues forest", https://doi.org/10.18167/DVN1/IBQLBL, CIRAD Dataverse
Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2012 census. The mission of the Nouragues research Station is to foster scientific resear...
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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