Metapopulation-level adaptation of insect host plant preference and extinction-colonization dynamics in heterogeneous landscapes.
Species living in highly fragmented landscapes typically occur as metapopulations with frequent turnover of local populations. The turnover rate depends on population sizes and connectivities, but it may also depend on the phenotypic and genotypic composition of populations. The Glanville fritillary butterfly (Melitaea cinxia) in Finland uses two host plant species, which show variation in their relative abundances at two spatial scales: locally among individual habitat patches and regionally among networks of patches. Female butterflies in turn exhibit spatial variation in genetically determined host plant preference within and among patch networks. Emigration, immigration and establishment of new populations have all been shown to be strongly influenced by the match between the host plant composition of otherwise suitable habitat patches and the host plant preference of migrating butterflies. The evolutionary consequences of such biased migration and colonization with respect to butterfly phenotypes might differ depending on spatial configuration and plant species composition of the patches in heterogeneous patch networks. Using a spatially realistic individual-based model we show that the model-predicted evolution of host plant preference due to biased migration explains a significant amount of the observed variation in host plant use among metapopulations living in dissimilar networks. This example illustrates how the ecological extinction-colonization dynamics may be linked with the evolutionary dynamics of life history traits in metapopulations.
Hanski
Ilkka
I
Department of Ecology and Systematics, University of Helsinki, PO Box 65, Viikinkaari 1, FIN-00014, Helsinki, Finland. ilkka.hanski@helsinki.fi
Heino
Mikko
M
D000222:Adaptation, Physiological; D025041:Animal Migration; D000818:Animals; D005075:Biological Evolution; D002080:Butterflies / Q000502:physiology*; D005387:Finland; D008954:Models, Biological; D009154:Mutation / Q000502:physiology; D018521:Plant Physiological Phenomena; D011157:Population Dynamics