Reference : Biomasse et stocks de carbone des forêts tropicales africaines (synthèse bibliographique)
Scientific journals : Article
Life sciences : Agriculture & agronomy
Life sciences : Environmental sciences & ecology
http://hdl.handle.net/2268/203533
Biomasse et stocks de carbone des forêts tropicales africaines (synthèse bibliographique)
French
[en] Biomass and carbon stocks of tropical African forests. A review
Loubota Panzou, Grâce Jopaul mailto [Université de Liège - ULiège > > > Doct. sc. agro. & ingé. biol. (Paysage)]
Doucet, Jean-Louis mailto [Université de Liège > Ingénierie des biosystèmes (Biose) > Laboratoire de Foresterie des régions trop. et subtropicales >]
Loumeto, Jean-Joël [> >]
Biwole, Achille [> >]
Bauwens, Sébastien mailto [Université de Liège > Ingénierie des biosystèmes (Biose) > Gestion des ressources forestières et des milieux naturels >]
Fayolle, Adeline mailto [Université de Liège > Ingénierie des biosystèmes (Biose) > Gestion des ressources forestières et des milieux naturels >]
20-Oct-2016
Biotechnologie, Agronomie, Société et Environnement
Presses Agronomiques de Gembloux
20
4
508-522
Yes (verified by ORBi)
International
1370-6233
1780-4507
Gembloux
Belgium
[en] Biomass ; carbon ; tropical forests ; allometry ; forest inventories ; remote sensing ; tropical Africa
[en] Introduction. Quantifying the biomass and carbon stocks contained in tropical forests has become an international priority for the implementation of the REDD+ mechanism. Forest biomass is estimated at three successive levels: the tree, the stand and the region level. This paper reviews the state of the art regarding the estimation of biomass and carbon stocks in tropical African forests.

Literature. This review highlights the fact that very few allometric equations, equations used for estimating the biomass of the tree using non-destructive measurements (diameter, height), have been established for tropical African forests. At the stand level, the review highlights the spatial and temporal variations in biomass between forest types in Central and Eastern Africa. While biomass recovery after a disturbance (logging, for instance) is rather quick, a great deal of uncertainty still remains regarding the spatial variation in biomass, and there is no consensus on a regional biomass map. The quality of biomass mapping in tropical Africa strongly depends on the type of remotely-sensed data being used (optical, RADAR or LIDAR), and the allometric equation used to convert forest inventory data into biomass.

Conclusions. Based on the lack of precision of the available allometric equations and forest inventory data and the large spatial scale involved, many uncertainties persist in relation to the estimation of the biomass and carbon stocks contained in African tropical forests.
Researchers ; Professionals ; Students ; General public
http://hdl.handle.net/2268/203533

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