Estimation of the magnitude of sinks and source s of carbon requires reliable estimates of the biomass of forests and of individual trees. Equations for predicting tree biomass have been developed using secondary data involving destructive sampling in plantations in several localities in the Philippines. These equations allow estimates of carbon sequestration to be made at much lower cost than would be incurred if detailed stand inventories were undertaken. The species included in the study reported here include Gmelina arborea, Paraserianthes falcataria, Swietenia macrophylla and Dipterocarp species in Mindanao;Leucaena leucocephala from Laguna, Antique, Cebu, Iloilo, Rizal, and Ilocos Sur, and Acacia mangium, Acacia auriculifor mis and G. arborea in Leyte. Non-linear regression was used to derive species-specific, site-specific and generic equations between yield and diameter of the form y = aDb . Equations were evaluated based on the correlation co efficient, standard error of the estimate and residual plots. Regressions result ed to high r values (>0.90). In some cases, non-homogeneous variance was encountered. The generic equation improved estimates compared with models used in previous studies.
Année de publication
2005
Auteurs
Banaticla M R N; Sales R F; Lasco R D
Langue
English
Mots clés
acacia auriculiformis, acacia mangium, forests, gmelina arborea, leucaena leucocephala, paraserianthes falcataria, swietenia macrophylla, trees
Géographique
Philippines
