Abstracts (first author)


Life-history of the Glanville fritillary butterfly in fragmented versus continuous landscapes

Author(s): Duplouy A, Ikonen S, Hanski I


Habitat loss and fragmentation threaten the long-term viability of innumerable species of plants and animals. At the same time, habitat fragmentation may impose strong natural selection on populations and lead to evolution of life-histories with possible consequences for demographic dynamics. The Baltic populations of the Glanville fritillary butterfly (Melitaea cinxia) inhabit landscapes with highly fragmented habitat (networks of small dry meadows) as well as landscapes with extensive continuous habitat (calcareous alvar grasslands). Here, we report the results of common garden studies on butterflies originating from two highly fragmented landscapes in Finland and Sweden and from two continuous landscapes in Sweden and Estonia, conducted in a large outdoor population cage and in the laboratory. We investigated a comprehensive set of 63 life-history traits, including components of larval development, adult behavior and reproductive performance. Habitat fragmentation shows association with several life-history traits. Most notably, the growth rate of the post-diapause larvae and several measures of flight capacity were higher in butterflies from fragmented than continuous landscapes. These results support theoretical predictions about high rate of population turnover in fragmented habitats selecting for increased rate of dispersal. Females from continuous landscapes had shorter intervals between consecutive egg clutches and somewhat higher life-time egg production, but shorter longevity, than females from fragmented landscapes. These results are likely to reflect the constant opportunities for oviposition in females living in continuous habitats, and possibly also the more dispersive females from fragmented landscapes allocating more resources to dispersal capacity at the cost of egg maturation rate


Chairman: Octávio S. Paulo
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XIV Congress of the European Society for Evolutionary Biology

Organization Team
Department of Animal Biology (DBA)
Faculty of Sciences of the University of Lisbon
P-1749-016 Lisbon


Computational Biology & Population Genomics Group