The American Naturalist · 1986 · 409 citations · 11 references
Life SciencesEcologyEvolutionary BiologyEvolutionary EcologyGroup DynamicsPopulation EcologyDefensive BehaviorEvolutionary DynamicsGroup LivingPredator AvoidancePredator-prey InteractionsGroup DefenseGroup-based ProtectionPredator DilutionSelfish Herd Dynamics
The authors present an evolutionarily stable strategy model, the attack‑abatement effect, that explains the antipredator benefits of group living in animals. The model evaluates the relative fitness of individuals who join versus those who do not join a group, assessing how avoidance and dilution strategies interact within the same population. The analysis shows that avoidance or dilution alone does not reduce predation risk, but their combination—without requiring active defense or predator confusion—significantly lowers the risk to grouped prey, indicating that the abatement effect depends on both strategies together.
An evolutionarily-stable-strategy model for the antipredator advantages of group living in animals is described and termed here the attack-abatement effect. The model considers the possible benefits to the individual of joining or not joining a group and is based on the relative fitnesses of these competing strategies in the same population. It is shown that neither avoidance of contact with the predator nor dilution of the effects of its attack once encountered is advantageous on its own, but in combination they reduce the risk to grouped prey. This is so even in the absence of predation at the margins of the group (as is assumed in Hamilton's selfish-herd model) and without the need for active group defense, evasion measures, or confusion of the predator. It is suggested that avoidance and dilution effects of group living cannot be considered separately, but should be regarded as effective only when in combination (the abatement effect).
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W D Hamilton · Journal of Theoretical Biology · 1971 · 3.5K citations
H. Ronald Pulliam · Journal of Theoretical Biology · 1973 · 1.3K citations