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Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?

Ngomanda Alfred, Engone Obiang Nestor Laurier, Lebamba Judicël, Moundounga Mavouroulou Quentin, Gomat Hugues Yvan, Mankou Géraud Sidoine, Loumeto Jean Joël, Midoko Iponga Donald, Kossi Ditsouga Franck, Zinga Koumba Roland, Botsika Bobé Karl Henga, Okouyi Clency Mikala, Nyangadouma Raoul, Lépengué Nicaise, Mbatchi Bertrand, Picard Nicolas. 2014. Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?. Forest Ecology and Management, 312 : pp. 1-9.

Journal article ; Article de revue à facteur d'impact
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Quartile : Q1, Sujet : FORESTRY

Abstract : Fewer data on tree biomass and allometric equations are available in African tropical moist forests than in the other tropical continents. When needing a biomass allometric equation, one thus faces the dilemma of using either a pantropical equation with the risk that it is biased for Africa, or a site-specific equation that is imprecise. Using a data set on aboveground biomass for 101 trees destructively measured at Zadié in northeastern Gabon, we fitted site-specific allometric equations and assessed the validity of ten existing equations. The best fitted model without height as a predictor was: B=exp[-4.0596+4.0624lnD-0.228(lnD)2+1.4307ln?], whereas the best fitted model with height was: B=exp[-2.5680+0.9517ln(D2H)+1.1891ln?], where B is the aboveground biomass in kg, D the diameter at breast height in cm, H the height in m, and ? the wood density in g cm?3. Separate allometric equations for the stem, stump, foliage and branches were also fitted. Chave et al. (2005)'s pantropical equations for moist forests, that are currently the most commonly used allometric equations in central Africa, were not valid at Zadié with an overestimation of biomass of about 40%. The allometric equations of the same authors for wet forests were valid at Zadié, even though the climatic zone does not correspond. More data on tree biomass are needed in central Africa to explore the natural range of variability in tree biomass and identify the factors that influence variations among sites. (Résumé d'auteur)

Mots-clés Agrovoc : Forêt, Forêt tropicale humide, Biomasse, biomasse aérienne des arbres, Allométrie, Diamètre à hauteur de poitrine, Diamètre, Méthode statistique, Modèle mathématique, Mesure, Croissance

Mots-clés géographiques Agrovoc : Afrique centrale

Classification Agris : K01 - Forestry - General aspects
F40 - Plant ecology
U10 - Computer science, mathematics and statistics

Champ stratégique Cirad : Axe 6 (2014-2018) - Sociétés, natures et territoires

Auteurs et affiliations

  • Ngomanda Alfred, IRET (GAB)
  • Engone Obiang Nestor Laurier, IRET (GAB)
  • Lebamba Judicël, IRET (GAB)
  • Moundounga Mavouroulou Quentin, IRET (GAB)
  • Gomat Hugues Yvan, CRDPI (COG)
  • Mankou Géraud Sidoine, Université Marien Ngouabi (COG)
  • Loumeto Jean Joël, Université Marien Ngouabi (COG)
  • Midoko Iponga Donald, IRET (GAB)
  • Kossi Ditsouga Franck, IRET (GAB)
  • Zinga Koumba Roland, IRET (GAB)
  • Botsika Bobé Karl Henga, IRET (GAB)
  • Okouyi Clency Mikala, IRET (GAB)
  • Nyangadouma Raoul, IRET (GAB)
  • Lépengué Nicaise, Université des sciences et techniques de Masuku (GAB)
  • Mbatchi Bertrand, Université des sciences et techniques de Masuku (GAB)
  • Picard Nicolas, CIRAD-ES-UPR BSef (GAB)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/571352/)

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