2009
DOI: 10.1890/08-0345.1
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Group‐size‐mediated habitat selection and group fusion–fission dynamics of bison under predation risk

Abstract: For gregarious animals the cost-benefit trade-offs that drive habitat selection may vary dynamically with group size, which plays an important role in foraging and predator avoidance strategies. We examined how habitat selection by bison (Bison bison) varied as a function of group size and interpreted these patterns by testing whether habitat selection was more strongly driven by the competing demands of forage intake vs. predator avoidance behavior. We developed an analytical framework that integrated group s… Show more

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Cited by 216 publications
(250 citation statements)
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References 53 publications
(72 reference statements)
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“…The need to maximize energy intake while minimizing predation risk has the potential to drive herbivore group size formation (Fortin et al 2009), resource selection patterns (Kittle et al 2008), and the spatial variation of their density (Creel and Winnie 2005), but the relative extent to which predation avoidance can play a role in shaping ungulate spatial behavior, and thus induce ecosystem effects, is still debated. Elk in the Yellowstone ecosystem have been shown to have modified their movement patterns (Fortin et al 2005) and habitat use in response to wolf predation, but how such a shift also could have induced cascading effects is far from being clarified (Mech 2012, Winnie 2012.…”
Section: Discussionmentioning
confidence: 99%
“…The need to maximize energy intake while minimizing predation risk has the potential to drive herbivore group size formation (Fortin et al 2009), resource selection patterns (Kittle et al 2008), and the spatial variation of their density (Creel and Winnie 2005), but the relative extent to which predation avoidance can play a role in shaping ungulate spatial behavior, and thus induce ecosystem effects, is still debated. Elk in the Yellowstone ecosystem have been shown to have modified their movement patterns (Fortin et al 2005) and habitat use in response to wolf predation, but how such a shift also could have induced cascading effects is far from being clarified (Mech 2012, Winnie 2012.…”
Section: Discussionmentioning
confidence: 99%
“…We performed a Spearman's rank correlation based on a case-control k-fold cross validation (k=5) to assess the predictive capability of each model (Boyce et al 2002, Fortin et al 2009). The 5-fold cross validation used 80% of the data to create a model that predicted the frequency of occurrence of the withheld 20% using bins that represented the range of predicted RSF scores; the process was repeated five times replacing the withheld 20%.…”
Section: Discussionmentioning
confidence: 99%
“…Given that we always ran a quadratic effect of human density, the total model set consisted of 255 models. We used model-averaged coefficients and the global model in a bootstrap k-fold cross validation similar to Fortin et al (2009); we ran 10,000 iterations of the dataset being partitioned, with 80% of the foraging events being used to estimate the regression coefficients and the remaining 20% used to evaluate model performance. Within each foraging event stratum (i.e., one foraging location and five random locations) we used our model to calculate the relative probability of selection for each location.…”
Section: Attributes Associated With Anthropogenic Foragingmentioning
confidence: 99%