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Allometric Models for Predicting Aboveground Biomass in Two Widespread Woody Plants in Hawaii

机译:预测夏威夷两种广泛木本植物地上生物量的异速生长模型

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摘要

Allometric models are important for quantifying biomass and carbon storage in terrestrial ecosystems. Generalized allometry exists for tropical trees, but species- and site-specific models are more accurate. We developed species-specific models to predict aboveground biomass in two of the most ubiquitous natives in Hawaiian forests and shrublands, Metrosideros polymorpha and Dodonaea viscosa. The utility of the M. polymorpha allometry for predicting biomass across a range of sites was explored by comparing size structure (diameter at breast height vs. tree height) of the trees used to develop the models against trees from four M. polymorpha-dominated forests along a precipitation gradient (1630-2380 mm). We also compared individual tree biomass estimated with the M. polymorpha model against existing generalized equations, and the D. viscosa model with an existing species-specific model. Our models were highly significant and displayed minimal bias. Metrosideros polymorpha size structures from the three highest precipitation sites fell well within the 95% confidence intervals for the harvested trees, indicating that the models are applicable at these sites. However, size structure in the area with the lowest precipitation differed from those in the higher rainfall sites, emphasizing that care should be taken in applying the models too widely. Existing generalized allometry differed from the M. polymorpha model by up to 88 percent, particularly at the extremes of the data range examined, underestimating biomass in small trees and overestimating in large trees. The existing D. viscosa model underestimated biomass across all sizes by a mean of 43 percent compared to our model. The species-specific models presented here should enable more accurate estimates of biomass and carbon sequestration in Hawaiian forests and shrublands.
机译:异速测量模型对于量化陆地生态系统中的生物量和碳储量很重要。对于热带树木,存在通用的异速测量法,但特定物种和特定地点的模型更为准确。我们开发了特定于物种的模型来预测夏威夷森林和灌木丛中两种最普遍存在的本地化植物,即大果Metrosideros和Dodonaea viscosa。通过比较用于开发模型的四种树木的大小结构(胸高与树高的直径对树高),探索了多形变种异体异体测定法在一系列地点生物量预测中的实用性。沿降水梯度(1630-2380 mm)。我们还比较了用多形M.模型估计的单个树木生物量与现有的广义方程,以及D. viscosa模型和现有的物种特定模型。我们的模型非常重要,并且显示出最小的偏差。来自三个最高降水位点的Metrosideros polymorpha大小结构在采伐树木的95%置信区间内很好落,表明该模型适用于这些位点。但是,降水最低的地区的规模结构与降雨较高的地区的规模结构有所不同,强调应谨慎使用该模型。现有的广义异体测量法与多形孢子虫模型的差异高达88%,尤其是在所检查的数据范围的极端情况下,低估了小树的生物量,而高估了大树的生物量。与我们的模型相比,现有的D. viscosa模型低估了所有大小的生物量平均43%。此处介绍的特定物种模型应该能够更准确地估计夏威夷森林和灌木丛中的生物量和碳固存。

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