Wang Jianming, Chen Chen, Li Jingwen, Feng Yiming, Lu Qi
College of Forestry, Beijing Forestry University, Beijing, China.
Institute of Desertification Studies, Chinese Academy of Forestry, Beijing, China.
PeerJ. 2019 Jan 10;6:e6220. doi: 10.7717/peerj.6220. eCollection 2019.
Drylands account for more than 30% of China's terrestrial area, while the ecological drivers of taxonomic (TD), functional (FD) and phylogenetic (PD) diversity in dryland regions have not been explored simultaneously. Therefore, we selected 36 plots of desert and 32 plots of grassland (10 × 10 m) from a typical dryland region of northwest China. We calculated the alpha and beta components of TD, FD and PD for 68 dryland plant communities using Rao quadratic entropy index, which included 233 plant species. Redundancy analyses and variation partitioning analyses were used to explore the relative influence of environmental and spatial factors on the above three facets of diversity, at the alpha and beta scales. We found that soil, climate, topography and spatial structures (principal coordinates of neighbor matrices) were significantly correlated with TD, FD and PD at both alpha and beta scales, implying that these diversity patterns are shaped by contemporary environment and spatial processes together. However, we also found that alpha diversity was predominantly regulated by spatial structure, whereas beta diversity was largely determined by environmental variables. Among environmental factors, TD was most strongly correlated with climatic factors at the alpha scale, while with soil factors at the beta scale. FD was only significantly correlated with soil factors at the alpha scale, but with altitude, soil and climatic factors at the beta scale. In contrast, PD was more strongly correlated with altitude at the alpha scale, but with soil factors at the beta scale. Environment and space explained a smaller portion of variance in PD than in TD and FD. These results provide robust evidence that the ecological drivers of biodiversity differ among different scales and facets of diversity. Future research that focuses on the comparisons among TD, FD and PD would likely provide new insights into elucidating the underlying community assembly.
干旱地区占中国陆地面积的30%以上,然而干旱地区生物分类多样性(TD)、功能多样性(FD)和系统发育多样性(PD)的生态驱动因素尚未同时得到探究。因此,我们从中国西北一个典型的干旱地区选取了36个荒漠样地和32个草地样地(10×10米)。我们使用Rao二次熵指数计算了68个干旱地区植物群落的TD、FD和PD的α和β组分,其中包括233种植物。冗余分析和变异分割分析用于探究环境和空间因素在α和β尺度上对上述三个多样性方面的相对影响。我们发现,土壤、气候、地形和空间结构(邻接矩阵的主坐标)在α和β尺度上均与TD、FD和PD显著相关,这意味着这些多样性模式是由当代环境和空间过程共同塑造的。然而,我们还发现,α多样性主要受空间结构调控,而β多样性在很大程度上由环境变量决定。在环境因素中,TD在α尺度上与气候因素相关性最强,而在β尺度上与土壤因素相关性最强。FD仅在α尺度上与土壤因素显著相关,但在β尺度上与海拔、土壤和气候因素相关。相比之下,PD在α尺度上与海拔相关性更强,但在β尺度上与土壤因素相关。环境和空间对PD变异的解释比例小于对TD和FD变异的解释比例。这些结果提供了有力证据,表明生物多样性的生态驱动因素在不同尺度和多样性方面存在差异。未来聚焦于TD、FD和PD比较的研究可能会为阐明潜在的群落组装提供新的见解。