02212naa a2200229 a 450000100080000000500110000800800410001902400350006010000220009524501140011726000090023152015160024065000140175665000120177065000130178265300260179565300180182165300260183970000180186570000210188377300780190420060372015-02-04       2014    bl uuuu     u00u1 u    #d7 a10.1007/s00265-014-1790-z2DOI1 aMENEZES, J. F. S.  aUniform predation risk in naturebcommon, inconspicuous, and a source of error to predation risk experiments.  c2014  aThis previous studies indicate that when predation risk is uniform across habitats, foragers concentrate their exploitation in fewer patches. Although uniform predation risk may seem rare in nature, some scenarios might cause it. Testing all scenarios in a single experiment is unfeasible; therefore, was developed a model that points whether concentration of exploitation in specific habitats due to uniform risk requires parameter values similar to what is found in literature. This model was based on Browns (Behav Ecol Sociobiol 22:37, 47, 1988) fitness function but rescaled to multiple habitats and predators, including uniform risk predators. Deriving functions maximum allowed comparisons with giving-up density studies. Results showed that uniform predation risk had a ushaped effect in habitat exploitation, causing a concentration of habitat exploitation at probabilities of survival from 0.2 to 0.8. However, the length of this interval and degree of concentration depended on the value of safety to forager fitness. Heterogeneous, nonuniform, predation risk decreases habitat exploitation where it was higher, therefore suppressing the effect of uniform risk on prey behavior. Time spent in the focal habitat and metabolic costs reduced the etectability of habitat concentration, while total time did not. Was found that uniform risk reduced accuracy of heterogeneous risk measurements. Future studies should aim to control all possible predators, as even the mild ones can induce complex behavior.  apredators  aHabitat  aPredador  aEqulíbrio ecológico  aHabitat scale  aQuitting harvest rate1 aKOTLER, B. P.1 aMOURAO, G. de M.  tBehavioral Ecology and Sociobiologygv.68, n. 11, p.1809-1818, nov. 2014.