Foraging opportunity and predation risk act as opposing influences on an
animal’s habitat use. “Landscapes of fear” (LOF), whereby one predicts the
spatial distribution of predators or perceived predator presence using
prey responses, are an important tool for modeling this conflict. LOF
models examining perceived predation risk are often generated using a
single behavioral metric, even though individuals can respond to predation
pressure with multiple potential behaviors. Here, we expanded traditional
LOF approaches by measuring three antipredator behaviors in wild
red-tailed monkeys (Cercopithecus ascanius): aggregation, alarm calling,
and vigilance. We predicted that each behavior would reveal spatially
explicit regions of high risk, as each behavior may attend to different
aspects of perceived predation risk. The use of different behaviors may
depend upon factors such as vegetation type, age/sex class of an
individual, and which other antipredator behaviors are being exhibited by
group members. We collected data on two troops of monkeys in the Issa
Valley, Tanzania for over 19 months and conducted 3,189 group follows. We
found that vegetation type varied in its effect on antipredator behavior.
Monkeys conducted more antipredator behavior in more open vegetation types
compared to more closed, riparian forests. The LOF models generated for
each behavior mapped distinct and predominantly non-overlapping spatial
regions of perceived predation risk, which was replicated across the two
groups. This suggested that monkeys responded differently across their
home range to specific perceived risks. Such spatially explicit behavior
may indicate vegetation-specific predation risk or unique trade-offs in
antipredator behavior throughout a heterogenous habitat. Behavioural observastions of individual red-tailed monkeys across
vegetation types.