On the degradation of forest ecosystems by extreme events: Statistical Model Checking of a hybrid model - Archive ouverte HAL
Article Dans Une Revue Ecological Complexity Année : 2023

On the degradation of forest ecosystems by extreme events: Statistical Model Checking of a hybrid model

Résumé

In this paper, we study the vulnerability of forest ecosystems perturbed by extreme events, such as those arising from climate change. To investigate the complex interactions between the biological dynamics of the forest and the climatic activity, we construct an original hybrid model, obtained by coupling a continuous reaction-diffusion system, which describes the spatio-temporal dynamics of the forest ecosystem, with a discrete probabilistic process, which models the possible occurrences of extreme events. Properties of ecological interest are considered: invariance of the persistence equilibrium, attraction to the extinction equilibrium and emergence of degraded states. Those properties of the hybrid model are verified through an extension of the Statistical Model Checking framework. We establish the existence of a threshold above which the persistence equilibrium of the forest ecosystem is compromised and give a numerical assessment of this threshold in terms of the probability and intensity of extreme events. We also present non-trivial parameter conditions for which the forest ecosystem converges to a degraded savanna-like state.
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Dates et versions

hal-04069502 , version 1 (15-04-2023)

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Guillaume Cantin, Benoît Delahaye, Beatriz Funatsu. On the degradation of forest ecosystems by extreme events: Statistical Model Checking of a hybrid model. Ecological Complexity, 2023, pp.101039. ⟨10.1016/j.ecocom.2023.101039⟩. ⟨hal-04069502⟩
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