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Related Experiment Video

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Mapping areas of spatial-temporal overlap from wildlife tracking data.

Jed A Long1, Stephen L Webb2, Trisalyn A Nelson3

  • 1School of Geography and Geosciences, University of St Andrews, Irvine Building, North Street, St Andrews, Fife, KY16 9AL UK.

Movement Ecology
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Summary

Researchers developed a new method, the joint potential path area (jPPA), to map where wildlife interactions occur. This approach analyzes GPS tracking data to identify areas of spatial-temporal overlap and associated habitat conditions.

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Area of Science:

  • Ecology
  • Movement Ecology
  • Wildlife Biology

Background:

  • Wildlife tracking studies traditionally focus on the presence of inter-individual interactions.
  • New methods are needed to pinpoint the specific landscape locations where these spatial-temporal interactions occur.
  • The joint potential path area (jPPA) method builds upon time-geographic movement models.

Purpose of the Study:

  • To introduce and demonstrate a novel approach for mapping areas of spatial-temporal overlap in wildlife.
  • To enable the analysis of landscape conditions and habitat features associated with wildlife interactions.
  • To provide a tool for understanding nuanced questions about where interactions happen.

Main Methods:

  • The joint potential path area (jPPA) method delineates sub-areas within a home range where inter-individual interaction is possible.
  • The approach integrates with existing geographic data to analyze landscape conditions.
  • Applied to simulated data and GPS tracking data of white-tailed deer (Odocoileus virginianus).

Main Results:

  • The jPPA successfully identified and mapped sub-areas of spatial-temporal overlap within home ranges.
  • Maps revealed habitat differences, such as tree canopy cover, between interaction zones and the overall home range.
  • Demonstrated the method's utility with simulated data and real-world GPS tracking of white-tailed deer.

Conclusions:

  • The jPPA approach offers a valuable, simple, and interpretable addition to wildlife habitat analysis workflows.
  • Highlights the need for methods that leverage both spatial and temporal data from wildlife tracking.
  • Open-source R code is available for implementing the jPPA method in research.