Parameterization of 3PGS model for aboveground biomass estimation in Eucalyptus camadulensis and Acacia mangium plantation

• Thanyapraneedkul Juthasinee

  Department of Advanced Information and Computer Sciences, School of Interdisciplinary Scientific Phenomena and Information, Nara Women's University

• Muramatsu Kanako

  Department of Advanced Information and Computer Sciences, School of Interdisciplinary Scientific Phenomena and Information, Nara Women's University, Kyousei Science Center for Life and Nature, Nara

• Susaki Junichi

  Urban and Environmental Engineering, Kyoto University

• Daigo Motomasa

  Doshisha University

抄録

Within the framework of Kyoto protocol, carbon sink concept is a major topic for the global climate change. There is an urgent need to collect vital data on forest plantations. Therefore, there is an obvious need to develop methods for estimating the biomass at diverse sites with non-destructive methods. Modeling is one of the effective approaches and Process Based Models (PBMs) that can provide a better understanding of stand growth and dynamics. A simplified model of PBMs is 3PG (Physiological Principles Predicting Growth) [1] and modified version is 3PGS model (Physiological Principles Predicting Growth with Satellite data) [2]. The model enables to use parameters derived from satellite data (NDVI : Normalized Difference Vegetation Index and FPAR : The Fraction of Photosynthetically Active Radiation) as well as meteorological data. The objective of this study is to estimate aboveground biomass (W_<abv>) by using 3PGS model. W_<abv> were validated with field-measured values. The Field measurements were conducted in Eucalyptus camaldulensis and Acacia mangium plantation that is the first time to apply 3PGS model for these 2 species. Sensitivity analysis was done and found 4 sensitive parameters that need to be accurately determined are NDVI_FPAR_Constant, NDVI_ FPAR_Intercept, Canopy Quantum Efficiency (Alpha) and Specific Leaf Area (SLA). The sensitive parameters were simulated to calculate W_<abv> thus accurately sensitive parameters are required. Sensitive parameters are Alpha and SLA. We found suitable Alpha are 0.07 and 0.13 molC/mol PAR and SLA are 22.5 and 35 (m^2/kg)for E. camaldulensis and A. mangium respectively. Relationship between NDVI and FPAR values, Logarithm is the best for achieving NDVI_FPAR_Intercept, NDVI_FPAR_Constant values. NDVI were derived from satellite data (LANDSAT ETM+ and MODIS) and FPAR were obtained from MODIS FPAR product (Moderate Resolution Imaging Spectroradiometer ; 8-day composite) and field data. Result showed 3PGS model provided better W_<abv> of E. camadulensis than A. mangium. Moreover, in my study area LANDSAT ETM+ and FPAR from field data are suitable to derived NDVI and FPAR respectively. In future for E. camaldulensis and A. mangium's aboveground biomass (W_<abv>) estimation by using 3PGS model, Alpha and SLA values from this research can be apply in other plantation as well.

収録刊行物

• 同志社大学ワールドワイドビジネスレビュー

  同志社大学ワールドワイドビジネスレビュー 10 (1), 144-160, 2008-09

  同志社大学

キーワード

• Carbon sinks
• Plantation
• Process-Based Model (PBMs)
• 3PGS
• NDVI
• FPAR
• Biomass

詳細情報

• CRID: 1573950402067235200
• NII論文ID: 110006950056
• NII書誌ID: AA1147629X
• ISSN: 18806198
• 本文言語コード: en
• データソース種別:
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