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Article Dans Une Revue Journal of Mathematical Biology Année : 2017

An impulsive modelling framework of fire occurrence in a size-structured model of tree–grass interactions for savanna ecosystems

Résumé

Fires and mean annual rainfall are major factors that regulate woody and grassy biomasses in savanna ecosystems. Within the savanna biome, conditions of long-lasting coexistence of trees and grasses have been often studied using continuous-time modelling of tree–grass competition. In these studies, fire is a time-continuous forcing while the relationship between woody plant size and fire-sensitivity is not systematically considered. In this paper, we propose a new mathematical framework to model tree–grass interactions that takes into account both the impulsive nature of fire occurrence and size-dependent fire sensitivity (via two classes of woody plants). We carry out a qualitative analysis that highlights ecological thresholds and bifurcation parameters that shape the dynamics of the savanna-like systems within the main ecological zones. Through a qualitative analysis, we show that the impulsive modelling of fire occurrences leads to more diverse behaviors including cases of grassland, savanna and forest tristability and a more realistic array of solutions than the analogous time-continuous fire models. Numerical simulations are carried out with respect to the three main ecological contexts (moist, mesic, semi-arid) to illustrate the theoretical results and to support a discussion about the bifurcation parameters and the advantages of the model.

Dates et versions

hal-02194380 , version 1 (25-07-2019)

Identifiants

Citer

Valaire Yatat, Pierre Couteron, J. Tewa, S. Bowong, Yves Dumont. An impulsive modelling framework of fire occurrence in a size-structured model of tree–grass interactions for savanna ecosystems. Journal of Mathematical Biology, 2017, 74 (6), pp.1425-1482. ⟨10.1007/s00285-016-1060-y⟩. ⟨hal-02194380⟩
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