Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Guangdong Institute of Applied Biological Resources, Guangdong Academy of Science, Guangzhou, 510260, China.
Department of Environmental Science and Policy, University of California, Davis, California, 95616, USA.
Ecology. 2020 Oct;101(10):e03124. doi: 10.1002/ecy.3124. Epub 2020 Jul 23.
Hypotheses about the mechanisms of community assembly suggest that biotic and abiotic filters constrain species establishment through selection on their functional traits. It is unclear how differences in traits influence the niche dimensions of closely related bird species when they coexist in spatiotemporally heterogeneous environments. Further, it is necessary to take into account their participation in mixed-species flocks, social systems that can include both competition and facilitation. For 6 yr, we conducted counts of forest bird species and took measurements of environmental variables along an elevational gradient in the Nanling Mountains, China. To disentangle different deterministic and historical/stochastic processes between flocking and nonflocking bird assemblages, we first compared phylogenetic and functional structure, and community-weighted mean trait values (CWM). We further assessed elevational variations in trait-environment relationships. We found that the flocking and nonflocking bird assemblages were structured by environmental gradients in contrasting ways. The nonflocking assemblage showed a strong change from over-dispersed to clustered community structure with increasing elevations, consistent with the strong selective pressures of a harsh environment (i.e., environmental filtering). The nonflocking assemblage also displayed significant trait-environment relationships in bivariate correlations and multivariate ordination space, including specific morphological and foraging traits that are linked to vegetation characteristics (e.g., short trees at high elevations). By contrast, flocking birds were more resilient to habitat change with elevation, with relatively consistent community membership, and showed fewer trait-environment associations. CWM of traits that are known to be associated with species' propensity to join mixed-species flocks, including small body size and broad habitat specificity, were linked to the flocking assemblage consistently across the elevational gradient. Collectively, our trait-based analyses provide strong evidence that trait-environment relationships differ between flocking and nonflocking bird assemblages. Besides serving as bellwethers of changing environments, emergent properties of flock systems may increase the resilience of animal communities undergoing environmental change. Mixed-species flocks present an ideal model with which to explore cooccurrence of closely related species, because habitat filtering may be buffered, and the patterns observed are therefore the outcomes of species interactions including both competition and facilitation.
有关群落组装机制的假说表明,生物和非生物过滤器通过对其功能特征的选择来限制物种的建立。在时空异质环境中,当密切相关的鸟类物种共存时,特征差异如何影响它们的生态位维度尚不清楚。此外,还需要考虑它们在混合物种鸟群中的参与,这些社会系统既包括竞争,也包括促进作用。在 6 年的时间里,我们在中国南岭沿海拔梯度进行了森林鸟类物种计数,并对环境变量进行了测量。为了厘清集群和非集群鸟类组合之间不同的确定性和历史/随机过程,我们首先比较了系统发育和功能结构以及群落加权均值特征值(CWM)。我们进一步评估了特征-环境关系的海拔变化。我们发现,集群和非集群鸟类组合是通过环境梯度以不同的方式构建的。随着海拔的升高,非集群组合从过度分散到聚集的群落结构发生了强烈变化,这与恶劣环境的强烈选择压力(即环境过滤)一致。非集群组合在二元相关性和多元排序空间中也显示出显著的特征-环境关系,包括与植被特征(例如,高海拔地区的短树)相关的特定形态和觅食特征。相比之下,随着海拔的升高,集群鸟类对栖息地变化的适应能力更强,群落成员相对稳定,并且与环境的特征-环境关联较少。与混合物种鸟群加入倾向相关的特征的 CWM,包括体型小和栖息地特异性宽,在整个海拔梯度上与集群组合一致。总的来说,我们基于特征的分析提供了强有力的证据,表明集群和非集群鸟类组合之间的特征-环境关系不同。除了作为环境变化的风向标外,集群系统的新兴特性可能会增加正在经历环境变化的动物群落的恢复力。混合物种鸟群提供了一个理想的模型,可用于探索密切相关物种的共存,因为生境过滤可能会得到缓冲,因此观察到的模式是包括竞争和促进作用在内的物种相互作用的结果。