A Bayesian optimal escape model reveals bird species differ in their capacity to habituate to humans. (30th July 2021)

• Record Type: Journal Article
• Authors: Sutton, Nicholas M; Weston, Michael A; Guay, Patrick J; Tregoweth, Jenna; O'Dwyer, James P
• Editors: Candolin, Ulrika
• Is Part Of: Behavioral ecology. Volume 32:Number 6(2021)
• Page Start: 1064
• Page End: 1074
• Publication Date: 2021-07-30
• Subjects: Bayesian modeling -- decision making -- disturbance tolerance -- habituation -- human–wildlife interactions -- optimal escape theory; Animal behavior -- Periodicals; Behavior evolution -- Periodicals; Ecology -- Periodicals; Psychology, Comparative -- Periodicals; 591.5
• DOI: 10.1093/beheco/arab033
• Languages: English
• ISSNs: 1045-2249

Abstract

Abstract: The capacity to habituate to, or tolerate, the close proximity of humans varies among wildlife species and may mediate population and species viability. Some species readily habituate to human proximity while others remain sensitive. These differences are important for predicting human impact on wildlife, but can be difficult to quantify given wildlife responses are highly idiosyncratic and are often context dependent. A general method for assimilating multiple sources of information and variation in individual responses is needed to extract meaningful descriptors of population- and species-level behavior. We apply a previously verified Bayesian optimal escape model to quantify differences in the perceived risk of seven species of waterbird, and generate a metric for species-specific sensitivity by estimating the relative change in risk perception of each species across an environmental gradient from low to high prevailing human activity level. We found that, in general, birds are the least habituated (evidently perceived the highest level of risk from humans) in sites with low human activity and the most habituated (evidently perceived lower levels of risk from humans) in sites with high human activity. Species varied in the degree of these differences, with some insensitive to human activity level, while others were highly sensitive. Aside from improving our ability to study the habituation of wild populations, this method for quantifying risk perception at population and species scales has broad applications in the management and monitoring of wildlife, and may aid in environmental impact assessments and identifying populations/species susceptible to disturbance. Abstract : Perceived risk impacts how animals respond to human activity. We use a mechanistic model of escape decision-making to quantify risk perception in several bird species, and find that differences in perceived risk lead to different predictions of species sensitivity to humans. Consistent with past studies of escape behavior, species showed decreased risk perception as exposure to humans increased. However, our current analysis showed species differed in their thresholds of disturbance tolerance prior to behavioral changes.