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Does Learning or Instinct Shape Habitat Selection?

Overview of attention for article published in PLOS ONE, January 2013
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Title
Does Learning or Instinct Shape Habitat Selection?
Published in
PLOS ONE, January 2013
DOI 10.1371/journal.pone.0053721
Pubmed ID
Authors

Scott E. Nielsen, Aaron B. A. Shafer, Mark S. Boyce, Gordon B. Stenhouse

Abstract

Habitat selection is an important behavioural process widely studied for its population-level effects. Models of habitat selection are, however, often fit without a mechanistic consideration. Here, we investigated whether patterns in habitat selection result from instinct or learning for a population of grizzly bears (Ursus arctos) in Alberta, Canada. We found that habitat selection and relatedness were positively correlated in female bears during the fall season, with a trend in the spring, but not during any season for males. This suggests that habitat selection is a learned behaviour because males do not participate in parental care: a genetically predetermined behaviour (instinct) would have resulted in habitat selection and relatedness correlations for both sexes. Geographic distance and home range overlap among animals did not alter correlations indicating that dispersal and spatial autocorrelation had little effect on the observed trends. These results suggest that habitat selection in grizzly bears are partly learned from their mothers, which could have implications for the translocation of wildlife to novel environments.

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Mendeley readers

The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 <1%
Brazil 1 <1%
South Africa 1 <1%
France 1 <1%
United Kingdom 1 <1%
India 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 210 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 44 20%
Researcher 39 18%
Student > Ph. D. Student 35 16%
Student > Bachelor 17 8%
Lecturer > Senior Lecturer 14 6%
Other 40 18%
Unknown 30 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 43%
Environmental Science 44 20%
Engineering 13 6%
Social Sciences 5 2%
Arts and Humanities 5 2%
Other 21 10%
Unknown 36 16%