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PART B-6: Tree Allometric Equations in Evergreen Broadleaf, Deciduous, and Bamboo Forests in the Central Highland Region, Viet

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PART B-6: Tree Allometric Equations in Evergreen Broadleaf, Deciduous, and Bamboo Forests in the Central Highland Region, Viet PART B-6: Tree allometric equations in Evergreen broadleaf, Deciduous, and Bamboo forests in the Central Highland region, Viet Nam UN-REDD PROGRAMME Viet Nam October 2012 Hanoi, Viet Nam i Tree allometric equation development for estimation of forest above-ground biomass in Viet Nam -- Evergreen broadleaf, Deciduous, and Bamboo forests in the Central Highland region By Dr. Vu Tan Phuong, Research Centre for Forest Ecology and Environment Msc. Nguyen Viet Xuan, Research Centre for Forest Ecology and Environment Dr. Dang Thinh Trieu, Forest Science Institute of Vietnam Msc. Phung Dinh Trung, Research Centre for Forest Ecology and Environment Eng. Nguyen Xuan Giap, Research Centre for Forest Ecology and Environment Msc. Pham Ngoc Thanh, Research Centre for Forest Ecology and Environment Edited by: Akiko Inoguchi, Gael Sola, Matieu Henry and Luca Birigazzi, FAO Disclaimer: The views expressed in this report are those of the author(s) and do not necessarily reflect the views of the UN-REDD Programme, Food and Agriculture Organization of the United Nations (FAO) or of its collaborating organization. The designations employed and the presentation of material in this information product do not imply the expression of any opinion whatsoever on the part of UN-REDD Programme or FAO concerning the legal or development status of any country, territory, city or area or of its authorities, or concerning the delimitation of its frontiers or boundaries. Recommended citation: Phuong, V.T., Xuan, N.X., Trieu, D.T., D., Trung, P.D., Giap, N.X., Thanh, P.N. (2012) Tree allometric equations in Evergreen broadleaf, Deciduous, and Bamboo forests in the Central Highland region, Viet Nam, in (Eds) Inoguchi, A., Henry, M. Birigazzi, L. Sola, G. Tree allometric equation development for estimation of forest above-ground biomass in Viet Nam, UN- REDD Programme, Hanoi, Viet Nam. ii ACKNOWLEDGEMENTS This study was implemented within the frame of UN-REDD Vietnam Program. We would like to thank the Vietnam UN-REDD Program for the valued financial and technical support. We are grateful to Ms. Inoguchi Akiko – a FAO expert in Vietnam, Dr. Pham Manh Cuong – Director of Vietnam UN- REDD Office for great assistance during the study implementation. Our sincere thanks to Gael Sola, Luca Birigazzi and Dr. Matieu Henry, FAO experts in Rome for their valuable comments and contributions. We are indebted to Lam Dong Agency of Forestry, Lam Dong Department of Agriculture and Rural Development, Loc Bac one-member limited liability Forestry Company and Don Duong one-member limited Forestry Company for efficient administration support and great help during our field measurement. We are also grateful to the close and efficient cooperation given by the partners from FIPI, VFU and TNU during the study implementation. iii EXECUTIVE SUMMARY The aim of this study is to develop allometric equations for biomass estimation for three forest types in the Central Highland region of Viet Nam, namely, evergreen broadleaf (EB) forests, deciduous forests and bamboo (Bambusa procera) forests. Two sample plots with area of 1 ha (100 x 100 m) were set up for EB forests, one sample plot of the same size for deciduous forests and one sample plot of 0.5 ha (50 x 100 m) was established for bamboo forests. Sample plot measurements studied forest structure including tree species composition and tree density, as the base for selecting sample trees for biomass measurement. The selection of sample trees and bamboo follows dominant trees species and number of trees in each diameter at breast height (DBH) class. Destructive measurement was applied to measure fresh above ground biomass (AGB). A total of 115 sample trees with DBH of 6.1-74 cm were selected from EB forests for fresh and dry biomass measurement and wood density (WD) analysis, in which 105 sample trees were used for equations development and ten trees were used to validate the developed equations. For deciduous forests, 68 sample trees with DBH of 7.2-52.2 cm, were studied, of which 60 trees for equations development and eight trees were used for model validation. A total of 138 sample bamboos were felled for equation analysis, of which, 20 were for equation validation. Statistical Package for Social Science (SPSS) was applied to analyze relationship between biomass and predictor variable. Variables used for regression analysis were DBH, tree height (H) and WD. The results show that there is strong relationship between AGB and predictor variables of DBH, H and WD. The optimal equation for biomass estimation at tree level for EB forests is: AGB = 0.222*DBH2.387 (R2 = 0.96) and AGB = 0.098*exp(2.08*Ln(DBH) + 0.71*Ln(H) + 1.12*Ln(WD)) (R2 = 0.98) with deviation of 14.1-17.6%. Fordeciduous forests, the optimal model for biomass estimation is: AGB = 0.14*DBH2.31 (R2 = 0.93) with deviation of 26.9%. For bamboo, the optimal equations suggested for biomass estimation is: AGB = 0.182*DBH2.16 with R2 = 0.86 and deviation of 23.7%. The results indicate that compared to the models for biomass estimation suggested by Brown (1997), Chave (2005) and Basuki et al (2009), the suggested models developed in this study can generate higher realibility in biomass estimation of these forest types in Central Highland of Vietnam. iv TABLE OF CONTENTS ACKNOWLEDGEMENTS -------------------------------------------------------------------------------------------------- iii EXECUTIVE SUMMARY--------------------------------------------------------------------------------------------------- iv TABLE OF CONTENTS ------------------------------------------------------------------------------------------------------ v LIST OF TABLES ----------------------------------------------------------------------------------------------------------- vii LIST OF FIGURES --------------------------------------------------------------------------------------------------------- viii LIST OF APPENDICES ----------------------------------------------------------------------------------------------------- ix ABBREVIATIONS AND ACRONYMS ------------------------------------------------------------------------------------ x 1 INTRODUCTION ------------------------------------------------------------------------------------------------------- 1 2 MATERIAL AND METHODS ----------------------------------------------------------------------------------------- 2 2.1 Sampling strategy -------------------------------------------------------------------------------------------------- 2 2.1.1 Location and design of the plots ---------------------------------------------------------------------------- 2 2.1.2 Selection of the sampling trees ----------------------------------------------------------------------------- 5 2.2 Variables measurement and calculation for volume and biomass ----------------------------------- 6 2.2.1 Field measurements ------------------------------------------------------------------------------------------- 6 2.2.2 Laboratory measurements ----------------------------------------------------------------------------------- 7 2.2.3 Other variables -------------------------------------------------------------------------------------------------- 8 2.3 Model fitting and selection -------------------------------------------------------------------------------------- 8 2.3.1 Data processing and regression analysis ------------------------------------------------------------------ 8 3 RESULTS FOR EVERGREEN BROADLEAF (EB) FORESTS ------------------------------------------------------ 9 3.1 Result 1: Forest and trees characteristics -------------------------------------------------------------------- 9 3.1.1 Forest characteristics: species composition and forest structure ---------------------------------- 9 3.1.2 Relation between H and diameter ------------------------------------------------------------------------ 13 3.1.3 Biomass of sample trees ------------------------------------------------------------------------------------- 13 3.1.4 Wood density analysis ---------------------------------------------------------------------------------------- 15 3.2 Result 2: Modeling of the stem volume --------------------------------------------------------------------- 15 3.3 Result 3: Modeling of Aboveground biomass-------------------------------------------------------------- 16 3.3.1 Modeling per tree compartments ------------------------------------------------------------------------- 16 3.3.2 Modeling of total aboveground biomass ---------------------------------------------------------------- 16 3.3.3 Modeling of ABG for the main tree families and species -------------------------------------------- 24 3.3.4 Comparison with generic models -------------------------------------------------------------------------- 24 3.4 Result 4: BEF (totalAGB/ABGstem) --------------------------------------------------------------------------- 25 4 RESULTS FOR DECIDUOUS FORESTS ---------------------------------------------------------------------------- 26 4.1 Result 1: Forest and trees characteristics ------------------------------------------------------------------- 26 4.1.1 Forest characteristics: species composition and forest structure --------------------------------- 26 4.1.2 Relation between H and diameter ------------------------------------------------------------------------ 28 4.1.3 Biomass of sample trees ------------------------------------------------------------------------------------- 28 4.1.4 Wood density analysis ----------------------------------------------------------------------------------------
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