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Key physical wood properties in termite foraging decisions.

Sebastian Oberst1, Joseph C S Lai2, Theodore A Evans3

  • 11 Centre for Audio, Acoustics and Vibrations, School of Software, Faculty of Engineering and IT, University of Technology Sydney , Sydney, New South Wales 2007 , Australia.

Journal of the Royal Society, Interface
|April 9, 2019
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Termites (Coptotermes acinaciformis) make foraging decisions based on multiple wood properties, not just one. They prefer denser, humid, and damped wood with high early wood content.

Keywords:
bioassaysfood choicemultifactorial analysespermutation analysisstatisticswood properties

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Area of Science:

  • Ecology
  • Animal Behavior
  • Entomology

Background:

  • Termites use vibrations for communication and assessing resources.
  • Traditional bioassays often examine single factors influencing foraging decisions.
  • Foraging choices can be complex, involving multiple wood properties.

Purpose of the Study:

  • To develop a statistical framework for multifactorial foraging choice experiments in termites.
  • To investigate how Coptotermes acinaciformis selects food sources based on multiple wood properties.
  • To understand the interplay of physical and chemical factors in termite foraging.

Main Methods:

  • Developed a statistical analysis framework for multifactorial bioassays.
  • Reduced 17 physical properties of Pinus radiata to 5 key material properties using correlation analysis.
  • Employed fuzzy c-means clustering to pair wood samples for controlled experiments.
  • Utilized multifactorial analysis of variance and permutation analysis to assess termite preferences.

Main Results:

  • Identified five key material properties influencing termite foraging: density, moisture absorption, early wood content, resonance frequency, and damping.
  • Demonstrated that Coptotermes acinaciformis considers multiple factors in food selection.
  • Found that termites prefer denser wood with high early wood content, high humidity, and high damping.

Conclusions:

  • Termite foraging decisions are multifactorial, integrating various wood characteristics.
  • The developed statistical framework enables more realistic bioassay designs for studying animal foraging.
  • Findings have implications for termite ecology, coevolution with trees, and pest management strategies.