Evol Ecol Res 5: 787-817 (2003)     Full PDF if your library subscribes.

Cooperation and competition in heterogeneous environments: the evolution of resource sharing in clonal plants

Krisztián Mágori,1,3 Beáta Oborny,2* Ulf Dieckmann3 and Géza Meszéna1,4

1Department of Biological Physics,  2Department of Plant Taxonomy and Ecology, Eötvös University, Budapest, Hungary,  3Adaptive Dynamics Network, International Institute for Applied Systems Analysis, Laxenburg, Austria and  4Collegium Budapest, Institute for Advanced Studies, Budapest, Hungary

Address all correspondence to Beáta Oborny, Department of Plant Taxonomy and Ecology, Eötvös University, Pázmány Péter sétány 1C, H-1117 Budapest, Hungary.
e-mail: beata@ludens.elte.hu

ABSTRACT

Plant species show great variation in the degree of physiological integration between developmental units (modules). When this physiological integration is minimal, individual modules are self-supporting and compete with other modules. When there is greater physiological integration, modules remain physiologically connected and ‘cooperate’ by sharing resources like water, nutrients and photoassimilates taken up from their local environments. Thus, local differences in habitat quality can be diminished within a group of modules. Here we examine how the evolutionarily optimal amount of integration depends on habitat type – with habitats being characterized by the proportion of resource-rich and resource-poor sites and by the turnover rate between them. Two main questions are addressed: First, how does spatial heterogeneity influence natural selection for or against integration? Second, can adaptation, under reasonable ecological conditions, stabilize partial integration? A non-spatial version of the model, which assumes well-mixed populations, predicts the complete physiological independence of modules as the only evolutionarily stable outcome in any realistic habitat type. By contrast, a spatially explicit version of the model reveals the adaptive advantage of integration in typical high-risk habitats, where resource-rich sites are sparsely distributed in space and transient in time. We conclude that habitat diversity without spatial population structure is sufficient to explain the evolutionary loss of physiological integration. But only the additional consideration of spatial population structure can convincingly explain any backward transition and the stable existence of partial integration.

Keywords: adaptive dynamics, cellular automata, clonal growth, competition, cooperation, patchy habitats, physiological integration, plant development, spatially structured populations.

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