Dynamics and spatial organization of plant communities in water-limited systems

Gilad, Erez; Shachak, Moshe; Meron, Ehud

doi:10.1016/j.tpb.2007.05.002

Cited by 95 publications

(90 citation statements)

References 43 publications

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“…The definitions of the non-dimensional variables and parameters in terms of their dimensional counterparts are given in Table 2. We refer the reader to Gilad et al [16] for more details. The model equations for the non-dimensional biomass variables, b i , the soil-water variable, w, and the surface-water variable, h, are:…”

Section: The Model Equationsmentioning

confidence: 99%

“…The feedback is captured by several terms in the model equations: (a) the term Ih in the equation for w, where the infiltration rate I is given by [16] result, larger biomass implies higher soil-water content and therefore higher biomass-growth rates. The strength of this feedback can be controlled by the parameter f .…”

Section: Infiltration Feedbackmentioning

confidence: 99%

“…We refer the reader to Ref. [16] for more details about this analysis. Also shown is a non-uniform solution branch (S) evaluated by numerically solving Eqs.…”

Section: Two Life Formsmentioning

confidence: 99%

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Modeling Dryland Landscapes

Meron

2010

Math. Model. Nat. Phenom.

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Abstract. The discovery of nearly periodic vegetation patterns in arid and semi-arid regions motivated numerous model studies in the past decade. Most studies have focused on vegetation pattern formation, and on the response of vegetation patterns to gradients of the limiting water resource. The reciprocal question, what resource modifications are induced by vegetation pattern formation, which is essential to the understanding of dryland landscapes, has hardly been addressed. This paper is a synthetic review of model studies that address this question and the consequent implications for inter-specific plant interactions and species diversity. It focuses both on patch and landscape scales, highlighting bottom-up processes, where plant interactions at the patch scale give rise to spatial patterns at the landscape scale, and top-down processes, where pattern transitions at the landscape scale affect inter-specific interactions at the patch scale.

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Section: The Model Equationsmentioning

confidence: 99%

Section: Infiltration Feedbackmentioning

confidence: 99%

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Modeling Dryland Landscapes

Meron

2010

Math. Model. Nat. Phenom.

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“…Considering the models that include explicit spatial representations, Pueyo et al (2010) explore the role of different plant reproductive traits on the interplay between competition and facilitation among plants, but they do not investigate the possible outcomes of competition. Gilad et al (2007) examine the interplay of different water-vegetation feedbacks in woody-herbaceous communities, evaluating how species interactions can vary from facilitation to competition depending on the relative feedback strength. Their model shows that stable coexistence of the two plant types, competing for the same water resource, is possible because of the role of spatial feedbacks.…”

Section: Introductionmentioning

confidence: 99%

“…We analyze under which conditions spatial mechanisms may foster the stable coexistence of grasses and trees (mostly shrubs in the driest ecosystems). We introduce a modified version of the model by Pueyo et al (2010), where grasses reproduce by vegetative propagation whereas trees disperse seeds, and we include some elements from the model of Gilad et al (2007). The model represents water dynamics in space, and vegetation dynamics is dependent only on soil water content.…”

Section: Introductionmentioning

confidence: 99%