Zheng Chaozhi, Ovaskainen Otso, Roslin Tomas, Tack Ayco J M
Ecology. 2015 Dec;96(12):3175-85. doi: 10.1890/15-0180.1.
Many empirical studies of metacommunities have focused on the classification of observational patterns into four contrasting paradigms characterized by different levels of movement and habitat heterogeneity. However, deeper insight into the underlying local and regional processes may be derived from a combination of long-term observational data and experimental studies. With the aim of exploring forces structuring the insect metacommunity on oak, we fit a hierarchical Bayesian state-space model to data from observations and experiments. The fitted model reveals large variation in species-specific dispersal abilities and basic reproduction numbers, R0. The residuals from the model show only weak correlations among species, suggesting a lack of strong interspecific interactions. Simulations with model-derived parameter estimates indicate that habitat configuration and species attributes both contribute substantially to structuring insect communities. Overall, our findings demonstrate that community-level variation in movement and life history are key drivers of metacommunity dynamics.
许多关于集合群落的实证研究都集中于将观测模式分类为四种截然不同的范式，这些范式的特征在于不同程度的迁移和栖息地异质性。然而，对潜在的局部和区域过程的更深入洞察可能来自长期观测数据和实验研究的结合。为了探究塑造栎树上昆虫集合群落的作用力，我们将一个分层贝叶斯状态空间模型应用于观测和实验数据。拟合模型揭示了物种特异性扩散能力和基本繁殖数R0的巨大差异。模型的残差显示物种间只有微弱的相关性，这表明缺乏强烈的种间相互作用。利用模型推导的参数估计值进行的模拟表明，栖息地配置和物种属性对构建昆虫群落都有很大贡献。总体而言，我们的研究结果表明，群落水平上的迁移和生活史变化是集合群落动态的关键驱动因素。
