本頁只刊出中文翻譯與中文說明；英文原文請見下方原文連結。
原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-11-14
摘要
Quantifying 族群 dynamics is a fundamental challenge in 生態學 and 演化ary biology, particularly for 物種 that are cryptic, microscopic, or extinct. Traditional approaches rely on continuous representations of 族群 size, but in many cases, the precise number of individuals is unknowable. Here, a coarse-grained 族群 model is presented that simplifies 族群 dynamics to binary states - high or low - determined by the balance of bottom-up resource availability and top-down predation pressure. This Boolean framework provides a minimal yet analytically tractable addition to traditional Lotka-Volterra-based models, enabling direct insights into the role of 食物網 structure in shaping community stability. This approach is used to investigate how 營養級 interactions influence 族群 persistence, cyclic dynamics, and extinct
※ 此為已發表論文，全文需透過期刊付費取得