Abstract

Vegetation patterns are a characteristic feature of semi-deserts occurring on all continents except Antarctica. In some semi-arid regions, the climate is characterised by seasonality, which yields a synchronisation of seed dispersal with the dry season or the beginning of the wet season. We reformulate the Klausmeier model, a reaction–advection–diffusion system that describes the plant–water dynamics in semi-arid environments, as an integrodifference model to account for the temporal separation of plant growth processes during the wet season and seed dispersal processes during the dry season. The model further accounts for nonlocal processes involved in the dispersal of seeds. Our analysis focusses on the onset of spatial patterns. The Klausmeier partial differential equations (PDE) model is linked to the integrodifference model in an appropriate limit, which yields a control parameter for the temporal separation of seed dispersal events. We find that the conditions for pattern onset in the integrodifference model are equivalent to those for the continuous PDE model and hence independent of the time between seed dispersal events. We thus conclude that in the context of seed dispersal, a PDE model provides a sufficiently accurate description, even if the environment is seasonal. This emphasises the validity of results that have previously been obtained for the PDE model. Further, we numerically investigate the effects of changes to seed dispersal behaviour on the onset of patterns. We find that long-range seed dispersal inhibits the formation of spatial patterns and that the seed dispersal kernel’s decay at infinity is a significant regulator of patterning.

Highlights

  • Vegetation patterns are a ubiquitous feature of ecosystems in semi-arid climate zones

  • The Jury conditions [see e.g. Murray (1989)] can be used to determine the steady state’s stability to spatially heterogeneous perturbations. To study this in more detail, and in particular to show that the model does not provide information on effects the temporal separation of seed dispersal events, we focus on the limiting case (6) and the Laplacian kernel (3)

  • Extensions include cross advection due to decreased surface water run-off resulting from an increase in infiltration in biomass patches (Wang and Zhang 2019); terrain curvature (Gandhi et al 2018); nonlocal dispersal of seeds (Eigentler and Sherratt 2018; Bennett and Sherratt 2018); secondary seed dispersal due to overland water flow (Consolo and Valenti 2019); nonlocal grazing effects (Siero et al 2019; Siero 2018); explicit modelling of a population of grazers (Fernandez-Oto et al 2019); local competition between plants (Wang and Zhang 2018); the inclusion of autotoxicity (Marasco et al 2014); multispecies plant communities (Eigentler and Sherratt 2019; Ursino and Callegaro 2016; Callegaro and Ursino 2018) and seasonality and intermittency in precipitation (Ursino and Contarini 2006; Eigentler and Sherratt 2020)

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Summary

Introduction

Vegetation patterns are a ubiquitous feature of ecosystems in semi-arid climate zones. One particular form, exhibited by members of the Aizoaceae family in semi-arid regions of the Sahel, Australia and South America, is ballistic dispersal, which uses the kinetic energy of raindrops to expulse the plants’ seeds (Parolin 2006; Friedman et al 1978) Some semiarid environments such as those in the Mediterranean are characterised by seasonal fluctuations in their environmental conditions and in particular in their precipitation patterns (Noy-Meir 1973). Most mathematical models for dryland vegetation patterns consist of partial differential equations and assume that seed dispersal occurs continuously in time. 2. Even though an integrodifference model cannot explicitly take into account the length of the plant growth stage, a consistency result (Proposition 1) yields a control parameter for the temporal separation of seed dispersal events through an appropriate parameter setting.

The models
Klausmeier model
Integrodifference model
Linear stability analysis
Simulations
Findings
Discussion
Full Text
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