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A Balanced Approach to the Adaptive Management of Urban Coyotes

Abstract

Documented coyote attacks on humans are rare events distributed throughout North America. Geospatial monitoring and categorization of coyote behavior type provides essential information necessary for the focused management of coyotes that pose a risk to human safety. Indices of behavior have been used to measure trends in observed behavior with respect to management effort over time. A method is presented for evaluating coyote behavior density for use in developing a human dimension-based decision model with management implementation thresholds. The proposed model allows for the geo-specific adaptive management of coyotes while considering potential environmental, ecological, and social impacts in the course of protecting human safety.

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