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Using the multivariate Hawkes process to study interactions between multiple species from camera trap data.

Lisa Nicvert1, Sophie Donnet2, Mark Keith3

  • 1Universite Claude Bernard Lyon 1, LBBE, UMR 5558, CNRS, VAS, Villeurbanne, France.

Ecology
|February 19, 2024
PubMed
Summary
This summary is machine-generated.

The multivariate Hawkes process (MHP) analyzes species interactions using camera trap data, revealing predator avoidance and herbivore attraction. This method reliably infers complex ecological community dynamics.

Keywords:
African savannaSnapshot Safaricamera trapinteraction networkinterspecific interactionsmultivariate Hawkes processreactive responsespatio‐temporal interactions

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Area of Science:

  • Ecology
  • Computational Biology
  • Wildlife Management

Background:

  • Interspecific interactions shape species activity and movement.
  • Studying these interactions, especially with multiple species, is challenging due to limited data and methods.
  • Camera traps offer abundant data, but require advanced statistical techniques.

Purpose of the Study:

  • To introduce the multivariate Hawkes process (MHP) for analyzing multi-species interactions from camera trap data.
  • To evaluate the MHP's performance against existing methods using simulations.
  • To apply the MHP to real-world camera trap data from South African savannas.

Main Methods:

  • Developed and described the multivariate Hawkes process (MHP) framework.
  • Utilized flexible pairwise interaction functions to model temporal interactions.
  • Conducted simulation studies and analyzed real camera trap data from five savanna species.

Main Results:

  • The MHP reliably infers interspecific interactions with sufficient data and can benchmark other methods.
  • Analysis of savanna data revealed predator avoidance by prey species.
  • Evidence of attraction was found between certain herbivore species.

Conclusions:

  • The MHP is a promising tool for analyzing complex ecological interactions using camera trap data.
  • It offers insights into predator-prey dynamics and herbivore social behavior.
  • Future improvements can enhance its reliability in detecting attraction/avoidance patterns.