Specific and generic stem biomass and volume models of tree species in a West African tropical semi-deciduous forest

Cédric A. Goussanou, Sabin Guendehou, Achille E. Assogbadjo, Maguette Kaire, Brice Sinsin, Aida Cuni Sanchez

    25 Citations (Scopus)
    231 Downloads (Pure)

    Abstract

    The quantification of the contribution of tropical forests to global carbon stocks and climate change mitigation requires availability of data and tools such as allometric equations. This study made available volume and biomass models for eighteen tree species in a semi-deciduous tropical forest in West Africa. Generic models were also developed for the forest ecosystem, and basic wood density determined for the tree species. Non-destructive sampling approach was carried out on five hundred and one sample trees to analyse stem volume and biomass. From the modelling of volume and biomass as functions of diameter at breast height (Dbh) and stem height, logarithmic models had better predictive capabilities. The model validation showed that in absence of data on height, models using Dbh only as variable was an alternative. The comparison of basic wood densities to data published in literature enabled to conclude that the non-destructive sampling was a good approach to determining reliable basic wood density. The comparative analysis of species-specific models in this study with selected generic models for tropical forests indicated low probability to identify effective generic models with good predictive ability for biomass. Given tree species richness of tropical forests, the study demonstrated the hypothesis that species-specific models are preferred to generic models, and concluded that further research should be oriented towards development of specific models to cover the full range of dominant tree species of African forests.

    Original languageEnglish
    Article number1474
    JournalSilva Fennica
    Volume50
    Issue number2
    Number of pages22
    ISSN0037-5330
    DOIs
    Publication statusPublished - 2016

    Keywords

    • Allometric equations
    • Basic wood density
    • Carbon stock
    • Non-destructive sampling

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