Numerical response of a mammalian specialist predator to multiple prey dynamics in Mediterranean farmlands.
The study of rodent population cycles has greatly contributed, both theoretically and empirically, to our understanding of the circumstances under which predator–prey interactions destabilize populations. According to the specialist predator hypothesis, reciprocal interactions between voles and smal...
| Published in: | Ecology |
|---|---|
| Main Authors: | , , , , |
| Format: | Article in Journal/Newspaper |
| Language: | English |
| Published: |
2019
|
| Subjects: | |
| Online Access: | http://zaguan.unizar.es/record/118865 https://doi.org/10.1002/ecy.2776 |
| Summary: | The study of rodent population cycles has greatly contributed, both theoretically and empirically, to our understanding of the circumstances under which predator–prey interactions destabilize populations. According to the specialist predator hypothesis, reciprocal interactions between voles and small predators that specialize on voles, such as weasels, can cause multiannual cycles. A fundamental feature of classical weasel–vole models is a long time-lag in the numerical response of the predator to variations in prey abundance: weasel abundance increases with that of voles and peaks approximately 1 yr later. We investigated the numerical response of the common weasel (Mustela nivalis) to fluctuating abundances of common voles (Microtus arvalis) in recently colonized agrosteppes of Castilla-y-Leon, northwestern Spain, at the southern limit of the species’ range. Populations of both weasels and voles exhibited multiannual cycles with a 3-yr period. Weasels responded quickly and numerically to changes in common-vole abundance, with a time lag between prey and weasel abundance that did not exceed 4 months and occurred during the breeding season, reflecting the quick conversion of prey into predator offspring and/or immigration to sites with high vole populations. We found no evidence of a sustained, high weasel abundance following vole abundance peaks. Weasel population growth rates showed spatial synchrony across study sites approximately 60 km apart. Weasel dynamics were more synchronized with that of common voles than with other prey species (mice or shrews). However, asynchrony within, as well as among sites, in the abundance of voles and alternative prey suggests that weasel mobility could allow them to avoid starvation during low-vole phases, precluding the emergence of prolonged time lag in the numerical response to voles. Our observations are inconsistent with the specialist predator hypothesis as currently formulated, and suggest that weasels might follow rather than cause the vole cycles in northwestern ... |
|---|