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were (1) to identify crucial determinants of suitable nesting habitat characteristics
and (2) to build empirical models for the prediction of nesting habitat. Using logistic
regression and 16 environmental variables, separate models regarding geomorphol-
ogy, vegetation types, and disturbance factors were obtained and combined using
Bayesian statistics. At the final stage a Boolean map of the mature forest refined the
present suitable nesting habitat (Fig. 13.2). The geomorphology contributed more
than all other predictors to the final overall model of a suitable Black Vulture nest-
ing habitat. The nesting preference in areas with steep slopes seems to be adaptive,
as such areas provide better foraging opportunities and protection from predators
Fig. 13.2 Maps of probability of occurrence for the nest sites of the black vulture 3
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