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Analyzing tiger interaction and home range shifts using a time-geographic approach
Yifei Liu1, Somayeh Dodge2, Achara Simcharoen3
1Department of Geography, University of California, Santa Barbara, USA. yifei_liu@ucsb.edu.
Movement Ecology
|February 3, 2024
Summary
A new method, ORTEGA, uses time geography to analyze tiger movement, revealing four interaction types: following, encounter, latency, and avoidance. This approach offers better insights into animal behavior than traditional proximity methods.
Area of Science:
- Ecology and behavioral science
- Wildlife movement analysis
- Spatio-temporal dynamics
Background:
- Animal movement patterns are key to understanding species dynamics and collective behavior.
- This study applies the time-geography framework, typically used for human movement, to analyze Indochinese tiger (Panthera tigris corbeti) interactions in Thailand's WEFCOM.
Purpose of the Study:
- To introduce and evaluate ORTEGA, a novel time-geographic method for analyzing spatio-temporal interactions and home range shifts in tigers.
- To compare ORTEGA's effectiveness against a standard proximity-based approach for tracking tiger interactions.
Main Methods:
- Utilized multi-year GPS tracking data from tigers in WEFCOM.
- Applied the ORTEGA method to investigate concurrent and delayed interaction patterns.
- Compared ORTEGA's performance with a proximity-based method across different tiger demographics (gender, relationships, life stages).
Main Results:
- Observed concurrent interactions at shared boundaries in 42 out of 67 tracked tigers.
- Identified four interaction types: following, encounter, latency, and avoidance, based on home range dynamics.
- ORTEGA superiorly detected pre-dispersal mother-young interactions compared to the proximity method, which sometimes overestimated interaction duration.
Conclusions:
- ORTEGA, a time-geographic approach, is effective for analyzing animal movement interactions and provides valuable, data-driven insights into tiger behavior.
- The method successfully traces frequent and delayed interactions without requiring predefined spatial or temporal buffers.
- Future research should incorporate contextual and behavioral data to further refine the characterization of species interactions.
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