2025 Volume 65 Issue 2 Pages 135-142
An activity sensor embedded in a GPS collar allows for the remote and continuous recording of animal behavior. Moreover, accurate thresholds for behavior classification can be established by aligning the sensor values with actual behaviors, thereby providing effective information for clarifying the actions of animals. This study focused on establishing a threshold for “active” and “inactive” behaviors of the Japanese serow (Capricornis crispus), the nocturnal behavior of which poses challenges for its direct observation. We fitted a wild individual with an activity sensor-embedded GPS collar, thereby combining direct observation with sensor data to determine a reliable threshold for classifying “active” and “inactive” behaviors. The accuracy of the established threshold exceeded 95% based on 1,300 min of direct observations in video footage. Although this threshold was based on the data of only one individual, its importance lies in that it was determined on the basis of the behaviors of a wild individual. In future studies, the data acquired from multiple wild individuals will contribute to the further elucidation of the diel activity patterns of serows.
