Eigenvalue Curves for Generalized MIT Bag Models
Eigenvalue Curves for Generalized MIT Bag Models
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DOI：
10.1007/s00220-022-04526-3
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发表时间：
2021-06
影响因子：
2.4
通讯作者：
Naiara Arrizabalaga;A. Mas;Tomás Sanz-Perela;L. Vega
中科院分区：
文献类型：
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作者：
Naiara Arrizabalaga;A. Mas;Tomás Sanz-Perela;L. Vega
种群的突变在生态系统中是普遍存在的，尤其是在扰动下。全球变化的动因可能会增加人为干扰的频率和严重程度，但复杂种群的反应阻碍了我们对其动态和弹性的理解。此外，研究这些突然变化所需的长期环境和人口数据也很少见。用人工智能算法对群居鸟类种群波动超过40年的动态模型进行拟合，发现在累积扰动后的扩散反馈会导致种群崩溃。这种崩溃可以用一个模仿社会复制的非线性函数来很好地描述，即少数人的分散导致其他人以行为级联的方式离开补丁，以便决策分散。一旦超过了补丁质量恶化的阈值，就会出现与社会复制反馈相对应的失控传播的社会反应的临界点。最后，在较低的种群密度下，扩散减少，这可能是由于更多的亲善个体不愿意分散。通过为社会有机体中扩散反馈的出现提供复制的证据，我们的结果表明，在复杂的种群动力学中，自组织的集体扩散具有更广泛的影响。这对于种群和集合种群非线性动力学的理论研究，包括种群灭绝，以及受行为反馈循环的濒危和收获的社会动物种群的管理具有重要意义。
Sudden changes in populations are ubiquitous in ecological systems, especially under perturbations. The agents of global change may increase the frequency and severity of anthropogenic perturbations, but complex populations’ responses hamper our understanding of their dynamics and resilience. Furthermore, the long-term environmental and demographic data required to study those sudden changes are rare. Fitting dynamical models with an artificial intelligence algorithm to population fluctuations over 40 y in a social bird reveals that feedback in dispersal after a cumulative perturbation drives a population collapse. The collapse is well described by a nonlinear function mimicking social copying, whereby dispersal made by a few individuals induces others to leave the patch in a behavioral cascade for decision-making to disperse. Once a threshold for deterioration of the quality of the patch is crossed, there is a tipping point for a social response of runaway dispersal corresponding to social copying feedback. Finally, dispersal decreases at low population densities, which is likely due to the unwillingness of the more philopatric individuals to disperse. In providing the evidence of copying for the emergence of feedback in dispersal in a social organism, our results suggest a broader impact of self-organized collective dispersal in complex population dynamics. This has implications for the theoretical study of population and metapopulation nonlinear dynamics, including population extinction, and managing of endangered and harvested populations of social animals subjected to behavioral feedback loops.