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The Influence of Hunting on Antipredator Behavior in Central African Monkeys and Duikers
Author(s) -
Croes Barbara M.,
Laurance William F.,
Lahm Sally A.,
Tchignoumba Landry,
Alonso Alfonso,
Lee Michelle E.,
Campbell Patrick,
Buij Ralph
Publication year - 2007
Publication title -
biotropica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.813
H-Index - 96
eISSN - 1744-7429
pISSN - 0006-3606
DOI - 10.1111/j.1744-7429.2006.00247.x
Subject(s) - wildlife , ecology , predation , geography , population , alarm signal , biology , alarm , demography , materials science , sociology , composite material
Many animals can adjust their behavioral strategies to reduce predation risk. We investigated whether rain forest monkeys and duikers alter their antipredatory behavior in response to hunting by humans in southwestern Gabon. We compared monkey and duiker responses to human observers in an area where hunting is prohibited, to those in a nearby area where hunting pressure is moderate but spatially variable. The results of our study indicate that monkeys become more secretive when hunted, commencing alarm calls only when at a certain distance (typically > 50 m) from humans. We found no difference in monkey group size between hunted and no‐hunting areas. In no‐hunting areas, duikers often freeze in response to approaching observers, but in hunted areas they abandon this strategy and rapidly flee from humans. Duikers also whistle more often in areas where they are hunted frequently. Our findings have at least two important implications. First, behavioral observations of monkeys and duikers may be useful in gauging local hunting intensity in African rain forests. Second, duiker densities are likely to be overestimated in hunted areas, where they more readily flee and whistle, and underestimated in no‐hunting areas, where they rely on freezing behavior to avoid detection. Because behavioral adaptations to hunting vary both among species and localities, these differences should be considered when attempting to derive population‐density estimates for forest wildlife.

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