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A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models

机译:使用通用异速模型估算热带森林生物量和碳储量的通用方法

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Allometric equations allow aboveground tree biomass and carbon stock to be estimated from tree size. The allometric scaling theory suggests the existence of a universal power-law relationship between tree biomass and tree diameter with a fixed scaling exponent close to 8/3. In addition, generic empirical models, like Chave's or Brown's models, have been proposed for tropical forests in America and Asia. These generic models have been used to estimate forest biomass and carbon worldwide. However, tree allometry depends on environmental and genetic factors that vary from region to region. Consequently, theoretical models that include too few ecological explicative variables or empirical generic models that have been calibrated at particular sites are unlikely to yield accurate tree biomass estimates at other sites. In this study, we based our analysis on a destructive sample of 481 trees in Madagascar spiny dry and moist forests characterized by a high rate of endemism (>95%). We show that, among the available generic allometric models, Chave's model including diameter, height, and wood specific gravity as explicative variables for a particular forest type (dry, moist, or wet tropical forest) was the only one that gave accurate tree biomass estimates for Madagascar (R2 > 83%, bias < 6%), with estimates comparable to those obtained with regional allometric models. When biomass allometric models are not available for a given forest site, this result shows that a simple height-diameter allometry is needed to accurately estimate biomass and carbon stock from plot inventories.
机译:异速方程可以从树的大小估算地上树木的生物量和碳储量。异速生长定标理论表明树木生物量和树木直径之间存在普遍的幂律关系,且固定定标指数接近8/3。另外,已经提出了针对美洲和亚洲热带森林的通用经验模型,如查韦斯模型或布朗模型。这些通用模型已用于估算全世界的森林生物量和碳。但是,树木的异度依赖于环境和遗传因素,这些因素因地区而异。因此,包括太少生态显性变量的理论模型或已在特定地点校准的经验通用模型不太可能在其他地点产生准确的树木生物量估计值。在这项研究中,我们基于马达加斯加多刺干旱湿润森林中481棵树木的破坏性样本进行分析,这些树木的特有率很高(> 95%)。我们显示,在可用的通用异速测量模型中,Chave模型(包括直径,高度和木材比重)是特定森林类型(干旱,潮湿或湿润热带森林)的解释变量,是唯一能够准确估算树木生物量的模型马达加斯加(R2> 83%,偏差<6%),其估算值与区域异速模型的估算值可比。当对于给定的森林站点没有生物量测度模型时,此结果表明需要简单的高度-直径测度来准确地估计地块清单中的生物量和碳储量。

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