Allometric Equation for Aboveground Biomass Estimation of Mixed Mature Mangrove Forest

编号 030035604

推送时间 20220815

研究领域 森林经理 

年份 2022 

类型 期刊 

语种 英语

标题 Allometric Equation for Aboveground Biomass Estimation of Mixed Mature Mangrove Forest

来源期刊 FORESTS

期 第356期

发表时间 20220216

关键词 mangrove;  aboveground biomass;  tree component;  allometric equation;  power function; 

摘要 The disturbance of mangrove forests could affect climate regulation, hydrological cycles, biodiversity, and many other unique ecological functions and services. Proper biomass estimation and carbon storage potential are needed to improve forest reference on biomass accumulation. The establishment of a site-specific allometric equation is crucial to avert destructive sampling in future biomass estimation. This study aimed to develop a site-specific allometric equation for biomass estimation of a mix-mature mangrove forest at Sungai Pulai Forest Reserve, Johor. A stratified line transect was set up and a total of 1000 standing trees encompassing seven mangrove tree species were inventoried. Destructive sampling was conducted using the selective random sampling method on 15 standing trees. Five allometric equations were derived by using diameter at breast height (D), stem height (H), and wood density (rho) which were then compared to the common equation. Simulations of each allometric equation regarding species were performed on 1000 standing trees. Results showed that the single variable (D) equation provided an accurate estimation, which was slightly improved when incorporated with the H variable. Both D and H variables, however, gave inconsistent results for large-scale data and imbalance of sampled species. Meanwhile, the best fit either for small-scale or large-scale data, as well as for imbalanced sample species was achieved following the inclusion of the rho variable when developing the equation. Hence, excluding the H variable while including the rho variable should be considered as an important determinant in mixed mangrove species and uneven-aged stand for aboveground biomass estimation. This valuation can both improve and influence decision-making in forest development and conservation.

服务人员 付贺龙

服务院士 唐守正

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