Allometric equations for sapling stages of three mangrove species in Real, Quezon Province, Philippines

Issue Date

2012

Abstract

The limited number of available site-specific and species-wise allometric regression equations that determine biomass estimates of forest ecosystems affect the reliability of data used in addressing global climate change issues. It is therefore necessary that these allometric regression equations are developed to increases the accuracy of data that will serve as bases for the decisions of natural resources managers and policy-makers. The study developed allometric regression equations (diameter ≤ 5 cm) for the three dominant mangrove species of the Real Mangrove Swamp Area, namely: Rhizophora mucronata, Avicennia marina, and Sonneratia alba. The ordinary Least Squares (OLS) method revealed that the polynomial equation, Y + a+ bD2 + cD2 + dD2H, represents the least-squares line of best fit (R2) for the three mangrove species and their different tree components by more than 90%.

Source or Periodical Title

Ecosystem & Development Journal: A Journal on Tropical Forests and Natural Resources

ISSN

2012-3612

Volume

3

Issue

1

Page

39-43

Document Type

Article

Physical Description

illustrations ; table

Language

English

En – AGROVOC descriptors

AVICENNIA; SONNERATIACEAE; MANGROVES; BIOMASS; FOREST ECOSYSTEMS; PHILIPPINES

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