Temporal variability in population and community dynamics
Temporal variability in population and community dynamics
复制标题
人口和群落动态的时间变化
DOI：
10.1002/ecy.3577
复制
发表时间：
2021
期刊：
影响因子：
4.8
通讯作者：
Kramer, Andrew M.
中科院分区：
文献类型：
--
作者：
Dallas, Tad A.;Kramer, Andrew M.
种群和群落的总体数量随着时间的推移而波动，并且单个物种的波动幅度可能会扩展到群落。然而，社区规模的综合变异性预计会受到个体群体的相反波动的影响，这种现象通常称为投资组合效应。鉴于不断变化的环境条件和群落组成，了解人口变异性、其如何扩展到群落变异性以及这种变异性的空间尺度是迫切需要的。我们使用零社区模拟和来自 BioTIME 数据库的大量经验社区时间序列来探索投资组合效应的证据。此外，我们还探讨了栖息地类型和地理位置对人口和群落时间变异性的相对作用。我们在理论群落模型中发现了很强的组合效应，但在经验数据中效果较弱，这表明共同的环境反应、种间竞争或一系列其他因素的作用。此外，我们观察到人口和群落变异性方面存在明显的纬度信号以及栖息地类型之间的差异。总之，这凸显了开发群落动态的现实模型的必要性，并暗示了人口和群落动态变化的空间和潜在环境梯度。
Populations and communities fluctuate in their overall numbers through time, and the magnitude of fluctuations in individual species may scale to communities. However, the composite variability at the community scale is expected to be tempered by opposing fluctuations in individual populations, a phenomenon often called theportfolio effect. Understanding population variability, how it scales to community variability, and the spatial scaling in this variability are pressing needs given shifting environmental conditions and community composition. We explore evidence for portfolio effects using null community simulations and a large collection of empirical community time series from the BioTIME database. Additionally, we explore the relative roles of habitat type and geographic location on population and community temporal variability. We find strong portfolio effects in our theoretical community model, but weak effects in empirical data, suggesting a role for shared environmental responses, interspecific competition, or a litany of other factors. Furthermore, we observe a clear latitudinal signal – and differences among habitat types – in population and community variability. Together, this highlights the need to develop realistic models of community dynamics, and hints at spatial, and underlying environmental, gradients in variability in both population and community dynamics.