The geographic mosaic theory of coevolution suggests that population spatial structure may have a strong impact on coevolutionary dynamics. Therefore, coevolution must be studied across geographic scales, not just in single populations. To examine the impact of movement rate on coevolutionary dynamics, we developed a spatially explicit model of host-parasitoid coevolution. We described space as a coupled-map lattice and assumed that resistance (defined as the ability of a host to encapsulate a parasitoid egg) and virulence (defined as the successful parasitization of a host) traits were graded and costly. The model explicitly detailed population and evolutionary dynamics. When holding all parameters constant and varying only the movement rate of the host and parasitoid, profoundly different dynamics were observed. We found that fluctuations in the mean levels of resistance and virulence in the global population were greatest when the movement rate of the host and parasitoid was high. In addition, we found that the variation in resistance and virulence levels among neighboring patches was greatest when the movement rates of the host and parasitoid was low. However, as the distance among patches increased, so did the variation in resistance and virulence levels regardless of movement rate. These generalizations did not hold when spatial patterns in the distribution of resistance and virulence traits, such as spirals, were observed. Finally, we found that the evolution of resistance and virulence caused the abundance of hosts to increase and the abundance of parasitoids to decrease. As a result, the spatial distribution of hosts and parasitoids was influenced.
机构:
Biol. des Populations en Interaction, UMR 1112 Reponse Organismes Aux S., Inra/Unsa, 06903 Sophia-Antipolis CedexBiol. des Populations en Interaction, UMR 1112 Reponse Organismes Aux S., Inra/Unsa, 06903 Sophia-Antipolis Cedex
Lapchin L.
Guillemaud T.
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机构:
Biol. des Populations en Interaction, UMR 1112 Reponse Organismes Aux S., Inra/Unsa, 06903 Sophia-Antipolis CedexBiol. des Populations en Interaction, UMR 1112 Reponse Organismes Aux S., Inra/Unsa, 06903 Sophia-Antipolis Cedex