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Environmental correlates of tree biomass, basal area, wood specific gravity and stem density gradients in Borneo's tropical forests

机译:婆罗洲热带森林中树生物质,基础区域,木比重和茎密度梯度的环境相关性

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摘要

Aim  Tropical forests have been recognized as important global carbon sinks and sources. However, many uncertainties about the spatial distribution of live tree above-ground biomass (AGB) remain, mostly due to limited availability of AGB field data. Recent studies in the Amazon have already shown the importance of large sample size for accurate AGB gradient analysis. Here we use a large stem density, basal area, community wood density and AGB dataset to study and explain their spatial patterns in an Asian tropical forest. Location  Borneo, Southeast Asia. Methods  We combined stem density, basal area, community wood density and AGB data from 83 locations in Borneo with an environmental database containing elevation, climate and soil variables. The Akaike information criterion was used to select models and environmental variables that best explained the observed values of stem density, basal area, community wood density and AGB. These models were used to extrapolate these parameters across Borneo. Results  We found that wood density, stem density, basal area and AGB respond significantly, but differentially, to the environment. AGB was only correlated with basal area, but not with stem density and community wood specific gravity. Main conclusions  Unlike results from Amazonian forests, soil fertility was an important positive correlate for AGB in Borneo while community wood density, which is a main driver of AGB in the Neotropics, did not correlate with AGB in Borneo. Also, Borneo's average AGB of 457.1 Mg ha −1 was c . 60% higher than the Amazonian average of 288.6 Mg ha −1 . We find evidence that this difference might be partly explained by the high density of large wind-dispersed Dipterocarpaceae in Borneo, which need to be tall and emergent to disperse their seeds. Our results emphasize the importance of Bornean forests as carbon sinks and sources due to their high carbon storage capacity.
机译:目标热带森林被认为是重要的全球碳汇和来源。然而,关于地上生物量(AGB)的活树空间分布的许多不确定性仍然是由于AGB现场数据的可用性有限。亚马逊最近的研究已经表明了大型样本大小的重要性,以获得准确的AGB梯度分析。在这里,我们使用大的茎密度,基础区域,社区木质密度和AGB数据集进行学习和解释亚洲热带森林中的空间模式。位置婆罗洲,东南亚。方法采用婆罗洲的83个地点组合茎密度,基础区域,社区木质密度和AGB数据,其中包含含有升高,气候和土壤变量的环境数据库。 Akaike信息标准用于选择最能解释观察到的茎密度,基础区域,社区木质密度和AGB值的模型和环境变量。这些模型用于在婆罗洲推断这些参数。结果我们发现木质密度,茎密度,基础区域和AGB对环境显着响应,但差异化。 AGB仅与基础区域相关,但没有茎密度和群落木材比重。主要结论是亚马逊森林的结果不同,土壤肥力是婆罗洲AGB的重要阳性关联,而社区木质密度是新生儿中AGB的主要驾驶员,与婆罗洲的AGB没有相关。此外,婆罗洲的平均AGB为457.1 mg HA -1是C. 60%高于亚马逊平均值288.6 mg HA -1。我们发现证据表明,这种差异可能部分地解释了婆罗洲的大型风分散的Dipterocarpaceae的高密度,需要高,并且迅速地分散它们的种子。我们的结果强调了抗抗森林作为碳汇,由于其高碳储存能力为碳汇和来源。

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