Using MODIS time series to characterize the annual dynamics of photosynthesis in tropical forests of Central Africa

Gond Valéry, Pennec Alexandre, Fayolle Adeline, Gourlet-Fleury Sylvie. 2010. Using MODIS time series to characterize the annual dynamics of photosynthesis in tropical forests of Central Africa. International Forestry Review, 12 (5), Résumé : p. 329. IUFRO World Congress. 23, Séoul, Corée du Sud, 23 August 2010/28 August 2010.

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Quartile : Q3, Sujet : FORESTRY

Abstract : ln the framework of the European project CoForChange (predicting the effects of global change on forest biodiversity in the Congo Basin region) we propose a new method of satellite imagery analysis to characterize the spatial patterns of tropical forest in Central Africa. We used 10-year time series remotely sensed data from TERRAMDDI5 sensor to identify the variations of forest photosynthetic activity intensity within a synthetic year. The processing was done using the 16-days enhanced vegetation index (EVI) data. We crossed the resulting information with a data base of field inventories provided by forest companies (Central African Republic, Republic of Congo, and Cameroon). We found that the vegetation types detected with satellite imagery match with a gradient of evergreen dominance. These results are of crucial 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; (ii) differ in their community dynamics; and (iii) differ in ecosystem processes. This detailed spatial and temporal information should provide a better basis to monitor carbon in this poorly known region. (Résumé d'auteur)

Mots-clés Agrovoc : forêt tropicale

Mots-clés géographiques Agrovoc : Afrique centrale

Classification Agris : U30 - Research methods
F62 - Plant physiology - Growth and development
K01 - Forestry - General aspects

Champ stratégique Cirad : Axe 6 (2005-2013) - Agriculture, environnement, nature et sociétés

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