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How beta diversity and the underlying causes vary with sampling scales in the Changbai mountain forests

机译:长白山森林中β多样性及其潜在原因如何随采样规模而变化

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Abstract This study aims to establish a relationship between the sampling scale and tree species beta diversity temperate forests and to identify the underlying causes of beta diversity at different sampling scales. The data were obtained from three large observational study areas in the Changbai mountain region in northeastern China. All trees with a dbh ?¢???¥1 cm were stem-mapped and measured. The beta diversity was calculated for four different grain sizes, and the associated variances were partitioned into components explained by environmental and spatial variables to determine the contributions of environmental filtering and dispersal limitation to beta diversity. The results showed that both beta diversity and the causes of beta diversity were dependent on the sampling scale. Beta diversity decreased with increasing scales. The best-explained beta diversity variation was up to about 60% which was discovered in the secondary conifer and broad-leaved mixed forest (CBF) study area at the 40 ???? 40 m scale. The variation partitioning result indicated that environmental filtering showed greater effects at bigger grain sizes, while dispersal limitation was found to be more important at smaller grain sizes. What is more, the result showed an increasing explanatory ability of environmental effects with increasing sampling grains but no clearly trend of spatial effects. The study emphasized that the underlying causes of beta diversity variation may be quite different within the same region depending on varying sampling scales. Therefore, scale effects should be taken into account in future studies on beta diversity, which is critical in identifying different relative importance of spatial and environmental drivers on species composition variation.
机译:摘要这项研究旨在建立采样规模与温带森林树木物种β多样性之间的关系,并确定不同采样尺度下β多样性的根本原因。这些数据是从中国东北长白山地区的三个大型观察研究区获得的。将所有干度为dbh ¥ 1 cm的树木进行茎测并测量。针对四种不同的晶粒尺寸计算了β多样性,并将相关的方差划分为由环境和空间变量解释的成分,以确定环境过滤和扩散限制对β多样性的贡献。结果表明,β多样性和β多样性的原因均取决于抽样规模。 Beta多样性随着规模的增加而降低。最佳解释的β多样性变异高达60%,这是在40英亩的次生针叶树和阔叶混交林(CBF)研究区发现的。 40 m规模。变异划分结果表明,环境过滤在较大晶粒尺寸下显示出更大的效果,而分散限制在较小晶粒尺寸下更重要。而且,结果表明,随着采样粒数的增加,环境影响的解释能力增强,但没有明显的空间效应趋势。该研究强调,取决于不同的抽样规模,同一地区内β多样性变化的根本原因可能完全不同。因此,在将来对β多样性的研究中应考虑规模效应,这对于确定空间和环境驱动因素对物种组成变化的不同相对重要性至关重要。

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