Driving Change: comparing methods for identifying movement behaviour and their change points

The driving mechanisms behind animal movement behaviour are expected to shift over time, for example, as the seasons progress the locations of food resources change. Often, the change points between behaviours are estimated using telemetry data. However, identifying these change points in time and corresponding drivers is challenging using telemetry data alone. Currently, several existing statistical methods are used to address this problem but are subject to strong assumptions and limitations on any inferences. We test some of the popular methods on pseudo-data with known change points and known error to compare the accuracy of the statistical models against each other. We find that existing methods perform poorly under a number of common scenarios and then success rate is highly variable. Assessing the tools in the movement behaviour toolbox, as well as expanding them, is important for the development of the field and can identify the best model for use under certain conditions.

Driving Change: comparing methods for identifying movement behaviour and their change points

Monday, July 14 at 6:00pm

Jessa Marley

"Driving Change: comparing methods for identifying movement behaviour and their change points"

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