Gond Valéry, Fayolle Adeline, Pennec Alexandre, Cornu Guillaume, Mayaux Philippe, Camberlin Pierre, Doumenge Charles, Fauvet Nicolas, Gourlet-Fleury Sylvie. 2013. Vegetation structure and greenness in Central Africa from Modis multi-temporal data. Philosophical Transactions - Royal Society. Biological Sciences, 368 (1625), 8 p.
Version publiée
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. document_570110.pdf Télécharger (1MB) |
|
Version publiée
- Anglais
Accès réservé aux personnels Cirad Utilisation soumise à autorisation de l'auteur ou du Cirad. document_570110.pdf Télécharger (436kB) |
Quartile : Outlier, Sujet : BIOLOGY
Liste HCERES des revues (en SHS) : oui
Thème(s) HCERES des revues (en SHS) : Psychologie-éthologie-ergonomie
Résumé : African forests within the Congo Basin are generally mapped at a regional scale as broad-leaved evergreen forests, with the main distinction being between terra-firme and swamp forest types. At the same time, commercial forest inventories, as well as national maps, have highlighted a strong spatial heterogeneity of forest types. A detailed vegetation map generated using consistent methods is needed to inform decision makers about spatial forest organization and their relationships with environmental drivers in the context of global change. We propose a multi-temporal remotely sensed data approach to characterize vegetation types using vegetation index annual profiles. The classifications identified 22 vegetation types (six savannas, two swamp forests, 14 forest types) improving existing vegetation maps. Among forest types, we showed strong variations in stand structure and deciduousness, identifying (i) two blocks of dense evergreen forests located in the western part of the study area and in the central part on sandy soils; (ii) semi-deciduous forests are located in the Sangha River interval which has experienced past fragmentation and human activities. For all vegetation types enhanced vegetation index profiles were highly seasonal and strongly correlated to rainfall and to a lesser extent, to light regimes. These results are of importance to predict spatial variations of carbon stocks and fluxes, because evergreen/deciduous forests (i) have contrasted annual dynamics of photosynthetic activity and foliar water content and (ii) differ in community dynamics and ecosystem processes.
Mots-clés Agrovoc : forêt, forêt tropicale humide, télédétection, cartographie, spectroscopie infrarouge, inventaire forestier, végétation, typologie, dynamique des populations, changement climatique, couvert forestier, classification, structure du peuplement
Mots-clés géographiques Agrovoc : Afrique centrale
Classification Agris : K01 - Foresterie - Considérations générales
P31 - Levés et cartographie des sols
U30 - Méthodes de recherche
F40 - Écologie végétale
Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés
Auteurs et affiliations
- Gond Valéry, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-0080-3140
- Fayolle Adeline, Université de Liège (BEL)
- Pennec Alexandre, SIRS (FRA)
- Cornu Guillaume, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-7523-5176
- Mayaux Philippe, Centre commun de recherche de la commission européenne (ITA)
- Camberlin Pierre, CRC (FRA)
- Doumenge Charles, CIRAD-ES-UPR BSef (FRA)
- Fauvet Nicolas, CIRAD-ES-UPR BSef (FRA)
- Gourlet-Fleury Sylvie, CIRAD-ES-UPR BSef (FRA) ORCID: 0000-0002-1136-4307
Source : Cirad - Agritrop (https://agritrop.cirad.fr/570110/)
[ Page générée et mise en cache le 2024-12-12 ]