Data from: Why do top predators engage in superpredation? From an empirical scenario to a theoretical framework
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https://datadryad.org/dataset/doi:10.5061/dryad.k114944
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资源简介:
Lethal interactions can shape ecosystem structure, and consequently
understanding their causes is ecologically relevant. To improve both
empirical and theoretical knowledge on superpredation (i.e. predation on
high-order predators), we studied an eagle owl population, including its
main prey and mesopredators, and then we crossed these results with
existing theories to provide a reasoning framework. We fitted our field
data into four main causes explaining lethal interactions: food stress,
opportunistic superpredation, removal of a competitor, and removal of a
potential threat. Empirically, superpredation seemed to be mostly
determined by the combination of the food-stress and
opportunistic-superpredation hypotheses, which highlights the complexity
of the factors triggering superpredation. Therefore, besides being a
response to lower food availability, superpredation may also represent an
effective mechanism to remove potential predators and/or competitors,
either intentionally or not. Our theoretical framework focused on the
decision-making process in superpredation, considering four inter-related
stages: encountering; attacking; and capturing a mesopredator; as well as
consuming a mesopredator once killed. Superpredation almost certainly
results from a complex process of decision-making, accounting for costs
and benefits assessed moment-to-moment and for each mesopredator
individual. It is time to build bridges between theoretical and empirical
studies to further understand the mechanisms driving complex interactions
among top predators and mesopredators.
提供机构:
Dryad
创建时间:
2018-05-18



