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Impulsive modelling for tree-grass interactions in fire-prone savanna

Yatat V., Couteron P., Tewa J.J., Bowong S., Dumont Y.. 2015. Biomath Communications, 2 (1) : 1 p.. International Conference on Mathematical methods and Models in Biosciences and Young Scientists School, 2015-07-12/2015-07-17, Pretoria (Afrique du Sud).

The study of tree-grass interactions in savanna (fires prone or not) remains an important issue for research. In African savanna, it is well known that fire is a major disturbance that shapes tree-grass ratio along a rainfall gradient. Several mathematical models have been developed that addressed fire prone savanna dynamics. Such models rely mostly on continuous-time modelling of tree-grass competition. In these frameworks, fire is a time-continuous forcing (see [1] and references therein) while the relationship between woody plant size and fire-sensitivity is not systematically considered. In this work, in order to takes into account both the discrete nature of fire occurrence and size-dependent fire sensitivity, we propose a new mathematical model for tree-grass interaction featuring impulsive differential equations [2]. The impulsive modelling is able to yield a more realistic array of solutions and therefore, able to account for many dynamical scenarios observed in savanna-like ecosystems. Extension of the temporal model to a spatio-temporal model, using local and nonlocal operators, will be also considered. (Texte intégral)

Mots-clés : paysage; herbage; compétition biologique; dynamique des populations; méthode statistique; modèle mathématique; incendie de forêt; incendie spontané; savane; forêt tropicale; afrique

Thématique : Foresterie - Considérations générales; Ecologie végétale; Méthodes mathématiques et statistiques

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