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原文連結
論文資訊
- 類型：已發表論文
- 日期：2023-03-06
摘要
Sudden changes in 族群s are ubiquitous in ecological systems, especially under perturbations. The 智能體s of global change may increase the frequency and severity of anthropogenic perturbations, but complex 族群s’ responses hamper our understanding of their dynamics and 韌性. Furthermore, the long-term environmental and demographic data required to study those sudden changes are rare. Fitting dynamical models with an 人工智慧 algorithm to 族群 fluctuations over 40 y in a 社會 bird reveals that feedback in dispersal after a cumulative perturbation drives a 族群 collapse. The collapse is well described by a 非線性 function mimicking 社會 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 o
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