Deng Jie, Taylor Washington, Levin Simon A, Saavedra Serguei
Department of Civil and Environmental Engineering, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
Center for Theoretical Physics, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA.
J Theor Biol. 2024 Jan 21;577:111674. doi: 10.1016/j.jtbi.2023.111674. Epub 2023 Nov 24.
The dynamics of ecological communities in nature are typically characterized by probabilistic processes involving invasion dynamics. Because of technical challenges, however, the majority of theoretical and experimental studies have focused on coexistence dynamics. Therefore, it has become central to understand the extent to which coexistence outcomes can be used to predict analogous invasion outcomes relevant to systems in nature. Here, we study the limits to this predictability under a geometric and probabilistic Lotka-Volterra framework. We show that while individual survival probability in coexistence dynamics can be fairly closely translated into invader colonization probability in invasion dynamics, the translation is less precise between community persistence and community augmentation, and worse between exclusion probability and replacement probability. These results provide a guiding and testable theoretical framework regarding the translatability of outcomes between coexistence and invasion outcomes when communities are represented by Lotka-Volterra dynamics under environmental uncertainty.
自然界中生态群落的动态变化通常以涉及入侵动态的概率过程为特征。然而,由于技术挑战,大多数理论和实验研究都集中在共存动态上。因此,理解共存结果在多大程度上可用于预测与自然系统相关的类似入侵结果已成为核心问题。在此,我们在几何和概率性的洛特卡 - 沃尔泰拉框架下研究这种可预测性的限度。我们表明,虽然共存动态中的个体生存概率可以相当精确地转化为入侵动态中的入侵者定殖概率,但在群落持久性和群落增长之间的转化不太精确,而在排除概率和替代概率之间的转化则更差。这些结果为在环境不确定性下以洛特卡 - 沃尔泰拉动态表示群落时,共存和入侵结果之间结果的可转化性提供了一个具有指导意义且可检验的理论框架。