First Passage Times of Long Transient Dynamics in Ecology.

Autor: Poulsen GR; Department of Mathematics, University of Utah, Salt Lake City, UT, USA., Plunkett CE; Department of Mathematics, University of Utah, Salt Lake City, UT, USA., Reimer JR; Department of Mathematics, University of Utah, Salt Lake City, UT, USA. jody.reimer@utah.edu.; School Of Biological Sciences, University of Utah, Salt Lake City, UT, USA. jody.reimer@utah.edu.
Jazyk: angličtina
Zdroj: Bulletin of mathematical biology [Bull Math Biol] 2024 Feb 23; Vol. 86 (4), pp. 34. Date of Electronic Publication: 2024 Feb 23.
DOI: 10.1007/s11538-024-01259-3
Abstrakt: Long transient dynamics in ecological models are characterized by extended periods in one state or regime before an eventual, and often abrupt, transition. One mechanism leading to long transient dynamics is the presence of ghost attractors, states where system dynamics slow down and the system lingers before eventually transitioning to the true attractor. This transition results solely from system dynamics rather than external factors. This paper investigates the dynamics of a classical herbivore-grazer model with the potential for ghost attractors or alternative stable states. We propose an intuitive threshold for first passage time analysis applicable to both bistable and ghost attractor regimes. By formulating the first passage time problem as a backward Kolmogorov equation, we examine how the mean first passage time changes as parameters are varied from the ghost attractor regime to the bistable one, through a saddle-node bifurcation. Our results reveal that the mean and variance of first passage times vary smoothly across the bifurcation threshold, eliminating the deterministic distinction between ghost attractors and bistable regimes. This work suggests that first passage time analysis can be an informative way to classify the length of a long transient. A better understanding of the duration of long transients may contribute to greater ecological understanding and more effective environmental management.
(© 2024. The Author(s), under exclusive licence to Society for Mathematical Biology.)
Databáze: MEDLINE
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