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Movement between patches, unequal competitors and the ideal free distribution
Authors:DON M. Hugie  TAMARA C. Grand
Affiliation:(1) Behavioural Ecology Research Group, Department of Biological Sciences, Simon Fraser University, Burnaby, British Columbia, V5A 1S6, Canada
Abstract:Researchers have often commented on the ability of the original ideal free distribution (IFD) model to approximate observed animal distributions even though the critical assumption that competitors are of equal ability is usually violated. We provide an explanation by recognizing that animals will occasionally move between patches for reasons other than to simply maximize their resource payoffs, given perfect (i.e. lsquoidealrsquo) information about the current payoff in each patch, and that these movements will continue to occur even after an equilibrium is reached. When such movements are incorporated into an unequal competitors IFD model, a single, stable distribution of each competitor type is predicted. This equilibrium will usually be characterized by lsquounder-matchingrsquo of total competitive units relative to the distribution of resources (i.e. too few competitive units in the lsquogoodrsquo patch). More importantly, it will often resemble the original, equal competitors IFD, in that total competitor numbers will come close to lsquomatchingrsquo the distribution of resources. We argue that researchers claiming to have observed an IFD of equal competitors have actually observed this equilibrium distribution of unequal competitors. Our model predicts that the deviation from input-matching will usually be an under-matching of total competitor numbers relative to resources (i.e. too few competitors in the good patch). Examination of published data reveals that post-equilibrium movement between patches occurs frequently and, although the reported distributions are similar to those predicted by input-matching, under-matching is usually observed.
Keywords:habitat selection  ideal free distribution  patch switching  unequal competitors
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