Fluctuating interaction network and time-varying stability of a natural fish community
Fluctuating interaction network and time-varying stability of a natural fish community
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DOI：
10.1038/nature25504
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发表时间：
2018-02-15
期刊：
影响因子：
64.8
通讯作者：
Kondoh, Michio
中科院分区：
文献类型：
--
作者：
Ushio, Masayuki;Hsieh, Chih-hao;Kondoh, Michio
生态学理论表明，大规模的模式，如社区的稳定性，可以受到种间相互作用的变化，从行为和/或生理反应的个体物种随时间变化（1-3）。虽然这一理论有实验支持（2，4，5），但由于跟踪种间相互作用的快速变化（已知发生在比一代时间短得多的时间尺度上）的挑战，缺乏来自自然生态系统的证据6，然后确定这种变化对大规模群落动态的影响。在这里，使用非线性时间序列分析工具（6-9）和12年的数据集，每两周收集一次的观察，日本舞鹤湾的天然海洋鱼类群落，我们表明，短期变化的相互作用网络影响整体社区动态。在15个优势种中，我们确定了14个种间相互作用，构建了一个动态的相互作用网络。我们表明，强度，甚至类型，相互作用随时间变化，我们还开发了一个时变的稳定性措施的基础上，在非平衡非线性系统的吸引子动力学的局部李雅普诺夫稳定性。我们使用这种动态稳定性的措施，检查随时间变化的互动网络和社区稳定性之间的联系。我们发现这个鱼类群落的动态稳定性的季节性模式，广泛支持目前的生态理论的预期。具体而言，在夏季的优势弱相互作用和较高的物种多样性与较高的动态稳定性和较小的人口波动。我们认为，种间相互作用，社区网络结构和社区稳定性是动态的属性，并连接波动的相互作用网络社区水平的动态属性是理解自然界中的生态群落的维护的关键。
Ecological theory suggests that large-scale patterns such as community stability can be influenced by changes in interspecific interactions that arise from the behavioural and/or physiological responses of individual species varying over time(1-3). Although this theory has experimental support(2,4,5),evidence from natural ecosystems is lacking owing to the challenges of tracking rapid changes in interspecific interactions (known to occur on timescales much shorter than a generation time)6 and then identifying the effect of such changes on large-scale community dynamics. Here, using tools for analysing nonlinear time series(6-9) and a 12-year-long dataset of fortnightly collected observations on a natural marine fish community in Maizuru Bay, Japan, we show that short-term changes in interaction networks influence overall community dynamics. Among the 15 dominant species, we identify 14 interspecific interactions to construct a dynamic interaction network. We show that the strengths, and even types, of interactions change with time; we also develop a time-varying stability measure based on local Lyapunov stability for attractor dynamics in non-equilibrium nonlinear systems. We use this dynamic stability measure to examine the link between the time-varying interaction network and community stability. We find seasonal patterns in dynamic stability for this fish community that broadly support expectations of current ecological theory. Specifically, the dominance of weak interactions and higher species diversity during summer months are associated with higher dynamic stability and smaller population fluctuations. We suggest that interspecific interactions, community network structure and community stability are dynamic properties, and that linking fluctuating interaction networks to community-level dynamic properties is key to understanding the maintenance of ecological communities in nature.