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Allometric equations for estimating tree biomass in restored mixed-species Atlantic Forest stands

机译:估计恢复的混交种大西洋森林林木生物量的异速方程

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Restoration of Atlantic Forests is receiving increasing attention because of its role in both biodiversity conservation and carbon sequestration for global climate change mitigation. This study was carried out in an Atlantic Forest restoration project in the south-central region of S?o Paulo State - Brazil to develop allometric equations to estimate tree biomass of indigenous tree species in mixed plantations. Above and below-ground biomass (AGB and BGB, respectively), stem diameter (DBH: diameter at 1.3 m height), tree height (H: total height) and specific wood density (WD) were measured for 60 trees of 19 species. Different biomass equations (linear and nonlinear-transformed) were adjusted to estimate AGB and BGB as a function of DBH, H and WD. For estimating AGB and BGB, the linear biomass equation models were the least accurate. The transformed nonlinear biomass equation that used log DBH2, log H and log WD as predictor variables were the most accurate for AGB and the transformed nonlinear biomass equations that used log DBH2*WD as predictor variables were the most accurate for BGB. It is concluded that these adjusted equations can be used to estimate the AGB and BGB in areas of the studied project. The adjusted equations can be recommended for use elsewhere in the region for forest stands of similar age, tree size ranges, species composition and site characteristics.
机译:大西洋森林的恢复因其在生物多样性保护和减少全球气候变化的碳固存中的作用而受到越来越多的关注。这项研究是在巴西圣保罗州中南部地区的一个大西洋森林恢复项目中进行的,目的是开发异速方程,以估算混合人工林中本地树木物种的树木生物量。测量了19种60棵树的地上和地下生物量(分别为AGB和BGB),茎直径(DBH:1.3 m高度的直径),树高(H:总高度)和比木材密度(WD)。调整了不同的生物量方程式(线性和非线性变换),以估算AGB和BGB作为DBH,H和WD的函数。为了估算AGB和BGB,线性生物量方程模型最不准确。使用log DBH2,log H和log WD作为预测变量的变换非线性生物量方程对于AGB最准确,而使用log DBH2 * WD作为预测变量的转换非线性生物量方程对于BGB最精确。结论是,这些调整后的方程可用于估算研究项目区域的AGB和BGB。可以将调整后的方程式推荐给该地区的其他地方,以用于类似年龄,树木大小范围,物种组成和站点特征的林分。

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