2018
DOI: 10.1016/j.ecocom.2017.06.004
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Spatially explicit modelling of tree–grass interactions in fire-prone savannas: A partial differential equations framework

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Cited by 18 publications
(36 citation statements)
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“…In this section, we apply results of section 3 in order to study grassland dynamics subjected to fire events. As it was discussed in Yatat et al (2017b) [46], in the contexts where fires are frequent (humid savannas), they generally occur in specific periods in the year (Jeffery et al (2014) [15]), while in protected areas (mesic savannas) fires are often set in the first part of the dry season (Scholes and Walker (1993) [48], (2017) [47], (2017b) [46], we assume that the grass biomass (G, in t.ha −1 ) evolves following a logistic growth where the carrying capacity is K (t.ha −1 ). Grass biomass originates from the existing grass biomass (intrinsic growth) with the rate γ (yr −1 ).…”
Section: Application To Fire-prone Grasslandssupporting
confidence: 48%
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“…In this section, we apply results of section 3 in order to study grassland dynamics subjected to fire events. As it was discussed in Yatat et al (2017b) [46], in the contexts where fires are frequent (humid savannas), they generally occur in specific periods in the year (Jeffery et al (2014) [15]), while in protected areas (mesic savannas) fires are often set in the first part of the dry season (Scholes and Walker (1993) [48], (2017) [47], (2017b) [46], we assume that the grass biomass (G, in t.ha −1 ) evolves following a logistic growth where the carrying capacity is K (t.ha −1 ). Grass biomass originates from the existing grass biomass (intrinsic growth) with the rate γ (yr −1 ).…”
Section: Application To Fire-prone Grasslandssupporting
confidence: 48%
“…Existence, unicity, positivity and boundedness of solutions of problem (4)-(2)-(3) follow directly from Proposition 1, Lemma 2 and Proposition 2 of Yatat et al (2017b) [46]. Similarly, existence and unicity of solutions of problem (5)- (2)- (3) hold according to [Rogovchenko (1997a) [28] [47]).…”
Section: Models Formulationmentioning
confidence: 74%
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