Biomass Equations for Tropical Tree Plantation Species in Young Stands Using Secondary Data from the Philippines

Authors

  • Ma. Regina N. Banaticla College of Forestry, Leyte State University, Visca, Baybay, Leyte, the Philippines and World Agroforestry Centre (ICRAF) Philippines, 2/F Administration Building, College of Forestry and Natural Resources, U.P. Los Baños, College, Laguna, the Philippines and Laboratory of Landscape Ecology and Planning, Department of Ecosystem Studies, Graduate School of Life and Agricultural Sciences, University of Tokyo, 1-1-1 Yayoi, Bunkyo-ku, Tokyo, Japan
  • Renezita F. Sales College of Forestry, Leyte State University, Visca, Baybay, Leyte, the Philippines
  • Rodel D. Lasco Institute of Renewable Natural Resources, College of Forestry and Natural Resources, UP Los Baños, College, Laguna, the Philippines and World Agroforestry Centre (ICRAF) Philippines, 2/F Administration Building, College of Forestry and Natural Resources, U.P. Los Baños, College, Laguna, the Philippines

DOI:

https://doi.org/10.32945/atr2937.2007

Keywords:

Carbon sequestration, non-linear regression, generic equations

Abstract

Estimation of the magnitude of sinks and sources 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 (mostly less than 10 years of age) 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 in the study reposted here include Gmelina arborea Roxb., Parasenrianthes falcataria (L.) Nielsen Swietenia macrophylla King and Dipterocarp species in Mindanao, and Leucaena leucocephala de Wit from Laguna, Antique, Cebu, Iloilo, Rizal, and Ilocos Sur. Non-linear regression was used to derive species-specific, site-species and generic equations between yield and diameter of the form y = αDβ. Equations were evaluated based on the correlation coefficient, standard error of estimate and residual plots. Regressions resulted in 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.

Submitted

2024-12-04

Published

2007-11-28

How to Cite

Banaticla, M. R. N., Sales, R. F., & Lasco, R. D. (2007). Biomass Equations for Tropical Tree Plantation Species in Young Stands Using Secondary Data from the Philippines. Annals of Tropical Research, 29(3), 73–90. https://doi.org/10.32945/atr2937.2007

Issue

Section

Research Article

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