Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1073/pnas.2103779118 |
Unifying deterministic and stochastic ecological dynamics via a landscape-flux approach | |
Li Xu; Denis Patterson; Ann Carla Staver; Simon Asher Levin; Jin Wang | |
2021-06-15 | |
发表期刊 | Proceedings of the National Academy of Sciences
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出版年 | 2021 |
英文摘要 | The frequency distributions can characterize the population-potential landscape related to the stability of ecological states. We illustrate the practical utility of this approach by analyzing a forest–savanna model. Savanna and forest states coexist under certain conditions, consistent with past theoretical work and empirical observations. However, a grassland state, unseen in the corresponding deterministic model, emerges as an alternative quasi-stable state under fluctuations, providing a theoretical basis for the appearance of widespread grasslands in some empirical analyses. The ecological dynamics are determined by both the population-potential landscape gradient and the steady-state probability flux. The flux quantifies the net input/output to the ecological system and therefore the degree of nonequilibriumness. Landscape and flux together determine the transitions between stable states characterized by dominant paths and switching rates. The intrinsic potential landscape admits a Lyapunov function, which provides a quantitative measure of global stability. We find that the average flux, entropy production rate, and free energy have significant changes near bifurcations under both finite and zero fluctuation. These may provide both dynamical and thermodynamic origins of the bifurcations. We identified the variances in observed frequency time traces, fluctuations, and time irreversibility as kinematic measures for bifurcations. This framework opens the way to characterize ecological systems globally, to uncover how they change among states, and to quantify the emergence of quasi-stable states under stochastic fluctuations. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/329836 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Li Xu,Denis Patterson,Ann Carla Staver,et al. Unifying deterministic and stochastic ecological dynamics via a landscape-flux approach[J]. Proceedings of the National Academy of Sciences,2021. |
APA | Li Xu,Denis Patterson,Ann Carla Staver,Simon Asher Levin,&Jin Wang.(2021).Unifying deterministic and stochastic ecological dynamics via a landscape-flux approach.Proceedings of the National Academy of Sciences. |
MLA | Li Xu,et al."Unifying deterministic and stochastic ecological dynamics via a landscape-flux approach".Proceedings of the National Academy of Sciences (2021). |
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