Ecological influences on the dynamics of a field vole metapopulation

Citation
Ee. Crone et al., Ecological influences on the dynamics of a field vole metapopulation, ECOLOGY, 82(3), 2001, pp. 831-843
Citations number
36
Categorie Soggetti
Environment/Ecology
Journal title
ECOLOGY
ISSN journal
00129658 → ACNP
Volume
82
Issue
3
Year of publication
2001
Pages
831 - 843
Database
ISI
SICI code
0012-9658(200103)82:3<831:EIOTDO>2.0.ZU;2-A
Abstract
Although metapopulation theory is widely used in basic and applied ecology, there are still few empirical studies that explore the relationships betwe en dispersal, patch size, and the persistence of natural populations. Here, we reanalyzed data from a six-year study of a spatially structured field v ole (Microtus agrestis) metapopulation in the Tvarminne archipelago, Finlan d. Our goal was to address several issues relevant to metapopulation studie s: (1) the relationships between within-subpopulation dynamics, dispersal b ehavior, habitat quality, and metapopulation dynamics; (2) the generality o f one of the most common conclusions of metapopulation theory-that smaller and less frequently inhabited islands are less important for metapopulation dynamics; and (3) the comparison of different methods for understanding an d predicting dynamics in "metapopulation-like" systems. Our results suggest that this vole metapopulation is driven by extinctions and colonizations o f island subpopulations. However, contrary to expectation, colonizations by voles from tiny, ephemeral skerry subpopulations were about as important f or metapopulation persistence as were colonizations from the more persisten t subpopulations on large islands. This pattern resulted from less stable v ole densities on smaller islands, combined with increased emigration preced ing subpopulation extinctions. Either spatially implicit Levins models or i ncidence function models provided reasonable predictions of the structure a nd function of this metapopulation, but parameters fitted to incidence func tions varied dramatically among years. Our results suggest that models of r eal metapopulations need not become highly detail oriented or spatially com plicated to provide good predictive power. However, applications of metapop ulation theory require careful consideration of how underlying ecological a nd behavioral mechanisms will shape metapopulation dynamics of particular s pecies and situations.