State Key Laboratory of Eco-hydraulic in Northwest Arid Region of China, Xi'an University of Technology, Xi'an, 710048, Shaanxi, China.
Wuhan Sinoeco Ecological Science & Technology Co., LTD, Wuhan, 430080, China.
Environ Sci Pollut Res Int. 2021 Aug;28(29):38573-38583. doi: 10.1007/s11356-021-13281-2. Epub 2021 Mar 18.
It is generally recognized that dispersal mode can affect the relative role of environmental and spatial factors in structuring biotic communities. Disentangling the effects of dispersal mode on metacommunity structuring is essential to understanding the mechanisms of community assembly. Despite high seasonal variation in assemblage structure and phenological features of lotic macroinvertebrates, few studies examined the seasonal changes in the relative contribution of environmental and spatial processes. Here, we used two-season (spring and autumn) investigation data to link dispersal mode with local environmental and spatial factors that regulate macroinvertebrate metacommunity in a Chinese high-mountain stream network. Our aims were (1) to disentangle the relative role of environmental and spatial processes on structuring macroinvertebrate with different dispersal ability (aquatic passive: AqPa, terrestrial passive: TePa, and terrestrial active: TeAc) and (2) to determine seasonal shifts in metacommunity structuring processes. We found that assemblages of TeAc (with highest dispersal capacity) in both seasons were influenced more by environmental filtering than spatial structuring, whereas assemblages of TePa were mainly determined by spatial processes. Unexpectedly, AqPa group showed low spatial control in both seasons, probably due to their underestimated dispersal capacity via animal vector. The relative role of environmental and spatial factors was broadly stable across two seasons for AqPa and TeAc groups, but the TePa showed seasonal differences in the relative role of spatial factors, because of their seasonally changing dispersal capacity. In summary, our study emphasizes the use of dispersal mode for understanding metacommunity structuring mechanisms.
普遍认为,扩散模式会影响环境和空间因素在生物群落结构中的相对作用。 厘清扩散模式对后生动物群落结构的影响对于理解群落组装机制至关重要。 尽管流水型大型无脊椎动物的集合结构和物候特征具有很高的季节性变化,但很少有研究探讨环境和空间过程的相对贡献在季节上的变化。 在这里,我们使用两季(春季和秋季)的调查数据,将扩散模式与调节中国高山溪流网络中大型无脊椎动物后生动物群落的本地环境和空间因素联系起来。 我们的目的是(1)阐明具有不同扩散能力(水生被动:AqPa、陆生被动:TePa 和陆生主动:TeAc)的后生动物的环境和空间过程对结构的相对作用,(2)确定后生动物群落结构过程的季节性变化。 我们发现,两个季节的 TeAc(扩散能力最高)的组合更多地受到环境过滤的影响,而不是空间结构,而 TePa 的组合主要受空间过程的影响。 出乎意料的是,AqPa 组在两个季节的空间控制都较低,可能是由于其通过动物载体的低估的扩散能力。 对于 AqPa 和 TeAc 组,环境和空间因素的相对作用在两个季节基本稳定,但 TePa 由于其季节性变化的扩散能力,表现出空间因素的季节性差异。 总之,我们的研究强调了使用扩散模式来理解后生动物群落结构机制。