Stem and Total Above-Ground Biomass Models for the Tree Species of Freshwater Wetlands Forest, Coastal Areas and Dry Areas of Bangladesh: Using a Non-Destructive Approach
M. Hossain, C. Saha, Rakhi Dhali, Srabony Saha, M. Siddique, S. Abdullah, S. Islam
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引用次数: 2
Abstract
Biomass and carbon stock in a forested areas are now prime important indicators of forest management and climate change mitigation measures. But the accurate estimation of biomass and carbon in trees of forests is now a challenging issue. In most cases, pantropical and regional biomass models are used frequently to estimate biomass and carbon stock in trees, but these estimations have some uncertainty compared to the species-specific allometric biomass model. Acacia nilotica, Casuarina equisetifolia and Melia azedarach have been planted in different areas of Bangladesh considering the species-specific site requirements. While Barringtonia acutangula and Pongamia pinnata are the dominant tree species of the freshwater swamp forest of Bangladesh. This study was aimed to develop species-specific allometric biomass models for estimating stem and above ground biomass (TAGB) of these species using the non-destructive method and to compare the efficiency of the derived biomass models with the frequently used regional and pantropical biomass models. Four Ln-based models with diameter at breast height (DBH) and total height (H) were tested to derive the best fit allometric model. Among the tested models, Ln (biomass) = a + b Ln (D) + c Ln (H) was the best-fit model for A. nilotica, M. azedarach, B. acutangula and P. pinnata and Ln (biomass) = a + b Ln (D2H) was best-fit for C. equisetifolia. Finally, the derived best-fit species-specific TAGB models have shown superiority over the other frequently used pantropical and regional biomass models in relation to model efficiency and model prediction error.
森林地区的生物量和碳储量现在是森林管理和减缓气候变化措施的主要重要指标。但是准确估计森林树木的生物量和碳现在是一个具有挑战性的问题。在大多数情况下,泛热带和区域生物量模型经常用于估算树木的生物量和碳储量,但与特定物种的异速生长生物量模型相比,这些估算具有一定的不确定性。考虑到特定物种的场地要求,在孟加拉国的不同地区种植了尼罗金合欢、木麻黄和苦楝。而尖刺刺桐和凤梨是孟加拉国淡水沼泽森林的优势树种。本研究旨在建立基于非破坏性方法估算这些物种茎部和地上部生物量(TAGB)的物种特异性异速生物量模型,并将其与常用的区域和泛热带生物量模型的效率进行比较。以胸径(DBH)和总高度(H)为基础,对4个基于ln3的模型进行了试验,以获得最适合的异速生长模型。其中,Ln(生物量)= a + b Ln (D) + c Ln (H)最适合于牛蒡、苦楝、刺荆和山楂,Ln(生物量)= a + b Ln (D2H)最适合于木犀草。最后,所建立的最佳拟合物种特异性TAGB模型在模型效率和模型预测误差方面优于其他常用的泛热带和区域生物量模型。