Rules of thumb for predation assessment: predictions from a dynamic model

Article Abstract:

An optimization model is derived to analyze the evolution of rules of thumb for the assessment of predation risk. Four conclusions were made based on the model. First, imperfect perception of hazard risk will not have an effect on the optimality of predatory behavior. Second, overestimation of the predation hazard will result in a lower mortality rate for the predator. Third, tracking the fluctuations of predation hazard will show better result than acting on the average predation hazard. Finally, the same conclusion can be arrived at even with relaxed assessment standards.

Models, Risk assessment

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Prey under stochastic conditions should probably overestimate predation risk: a reply to Abrams

Article Abstract:

P.A. Abrams stated that underestimation or overestimation of predation risk may be adaptive depending on starvation derivatives and reproduction. Abrams also argued that increased accuracy of estimation is favored if there is no cost to obtaining more information about predation risk. Under stochastic conditions, however, overestimating predation risk is favored at moderate to large errors. Over- and underestimation, on the other hand, is favored at small errors.

Animal feeding and feeds

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The effect of wolf predation and snow cover on musk-ox group size

Article Abstract:

The influence of wolf predation and snow cover on the group size of musk-oxen, Ovibus moschatus, is examined. The winter group size of the musk-ox is found to be 1.7 times greater than the summer group size. For both seasons, the group size is directly related to wolf density. The musk group-size is observed to be the result of compromised per capita benefits based on wolf density, foraging opportunities and crowding costs.

Behavior, Wolves, Musk ox, Muskox

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