State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China.
State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, China; University of Chinese Academy of Sciences, Beijing, China.
Sci Total Environ. 2020 Nov 15;743:140548. doi: 10.1016/j.scitotenv.2020.140548. Epub 2020 Jun 27.
Stochastic (e.g., via species dispersal and ecological drift) and deterministic (e.g., via environmental and biotic filtering) processes can produce diversity patterns related to changes in elevation. However, existing studies have not generally examined these processes within a compressive framework. Stream macroinvertebrates are an important and diverse component of freshwater environments in high-mountain systems. By considering metacommunity-structuring processes using Hierarchical Modelling of Species Communities (HMSC), we investigated changes in taxon richness of stream macroinvertebrates along elevational gradients in streams of the Cangshan mountain range in Southwest China. We found that increasing taxon richness along the elevation gradient until the optimum was reached could be modeled using the integrated actions of full structuring processes within the metacommunity modeling. Consistent increases in taxon-richness along the elevation gradient were able to be modeled considering environmental filtering alone. In addition, the importance of structuring processes on shaping communities decreased along spatial hierarchical-scales (from local habitat to mountain-aspect levels). These results suggest that stochastic and biotic-filtering processes can confound environmental filtering in shaping macroinvertebrate communities in high-mountain streams. A comprehensive understanding of the mechanisms underlying elevational biodiversity patterns of riverine communities can be improved through quantitative frameworks (e.g., HMSC) linking metacommunity theory to the real-world systems.
随机（例如通过物种扩散和生态漂移）和确定性（例如通过环境和生物过滤）过程可以产生与海拔变化相关的多样性模式。然而，现有研究通常没有在综合框架内检查这些过程。溪流大型无脊椎动物是高山系统淡水环境中的一个重要且多样的组成部分。通过使用物种群落的层次模型（HMSC）考虑集合群结构形成过程，我们调查了中国西南苍山山脉溪流中沿海拔梯度的溪流大型无脊椎动物分类群丰富度的变化。我们发现，沿海拔梯度增加分类群丰富度直到达到最佳状态可以通过集合群模型中完整结构形成过程的综合作用来建模。仅考虑环境过滤就可以模拟沿海拔梯度的分类群丰富度持续增加。此外，结构形成过程对塑造群落的重要性沿着空间层次尺度（从局部栖息地到山体方位水平）降低。这些结果表明，随机和生物过滤过程可能会混淆环境过滤在塑造高山溪流大型无脊椎动物群落中的作用。通过将集合群理论与真实系统联系起来的定量框架（例如 HMSC），可以更好地理解河流群落海拔生物多样性模式的潜在机制。
