A gis-based model to improve estimation of aboveground biomass of secondary forests in the philippines

Issue Date

1-2006

Abstract

A geographic information system (GIS)-based model was developed to spatially predict the aboveground biomass of secondary forests in the Philippines. A database of the physical (soil type, slope, elevation) and climatic (agroclimate zone, annual rainfall) properties of the different administrative units (provinces) in the country was assembled from secondary data and existing maps. Thematic maps of each of the above physical and climatic properties were developed for the whole country. Published data on diameter at breast height (dbh) of sampled trees in secondary forests, and plantations of Swietenia macrophylla and Diplerocarpus sp. were used to estimate aboveground biomass using allometric regression equation. The relationship of the physical and climatic factors (independent or predictor variables) and the forest aboveground biomass (dependent variable) was determined through multiple linear regression analysis. The resulting equation was used to predict potential aboveground biomass of secondary forests in the country. Overlaying the potential biomass map to the remaining secondary forest areas resulted in a map of the estimated aboveground biomass of secondary forests. The study demonstrated the potential of GIS in estimating forest biomass at different locations and environmental conditions. The GIS-based model can be further improved with the availability of tree biomass data and digital maps.

Source or Periodical Title

Journal of Tropical Forest Science

ISSN

1281283

Volume

18

Issue

1

Page

2021-08-01

Document Type

Article

Language

English

Subject

Allometric equation, C stocks, Diplerocarpus sp, GHG inventory, Multiple linear regression, Swietenia macrophylla

Identifier

https://www.jstor.org/stable/43594642

Digital Copy

YES

Link to Full Text

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