Literature DB >> 30958236

Key physical wood properties in termite foraging decisions.

Sebastian Oberst1, Joseph C S Lai2, Theodore A Evans3.   

Abstract

As eusocial and wood-dwelling insects, termites have been shown to use vibrations to assess their food, to eavesdrop on competitors and predators and to warn nest-mates. Bioassay choice experiments used to determine food preferences in animals often consider single factors only but foraging decisions can be influenced by multiple factors such as the quantity and quality of the food and the wood as a medium for communication. A statistical analysis framework is developed here to design a single bioassay experiment to study multifactorial foraging choice ( Pinus radiata) in the basal Australian termite species Coptotermes ( C.) acinaciformis (Isoptera: Rhinotermitidae). By employing a correlation analysis, 17 measured physical properties of 1417 Pinus radiata veneer discs were reduced to five key material properties: density, moisture absorption, early wood content, first resonance frequency and damping. By applying a fuzzy c-means clustering technique, these veneer discs were optimally paired for treatment and control trials to study food preference by termites based on these five key material properties. A multifactorial analysis of variance was compared to a permutation analysis of the results indicating for the first time that C. acinaciformis takes into account multiple factors when making foraging decisions. C. acinaciformis prefer denser wood with large early wood content, preferably humid and highly damped. Results presented here have practical implications for food choice experiments and for studies concerned with communication in termites as well as their ecology and coevolution with trees as their major food source.

Entities:  

Keywords:  bioassays; food choice; multifactorial analyses; permutation analysis; statistics; wood properties

Mesh:

Year:  2018        PMID: 30958236      PMCID: PMC6303793          DOI: 10.1098/rsif.2018.0505

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  24 in total

1.  A spider's biological vibration filter: micromechanical characteristics of a biomaterial surface.

Authors:  Seth L Young; Marius Chyasnavichyus; Maxim Erko; Friedrich G Barth; Peter Fratzl; Igor Zlotnikov; Yael Politi; Vladimir V Tsukruk
Journal:  Acta Biomater       Date:  2014-07-25       Impact factor: 8.947

2.  Termites assess wood size by using vibration signals.

Authors:  Theodore A Evans; Joseph C S Lai; Emilie Toledano; Lee McDowall; Sandrine Rakotonarivo; Michael Lenz
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-25       Impact factor: 11.205

3.  Habitat Selection Under Predation Hazard: Test of a Model with Foraging Minnows.

Authors:  James F Gilliam; Douglas F Fraser
Journal:  Ecology       Date:  1987-12       Impact factor: 5.499

4.  Termites eavesdrop to avoid competitors.

Authors:  Theodore A Evans; Ra Inta; Joseph C S Lai; Stefan Prueger; Nyuk Wei Foo; Eugene Wei'en Fu; Michael Lenz
Journal:  Proc Biol Sci       Date:  2009-08-26       Impact factor: 5.349

5.  Vibrational long-distance communication in the termites Macrotermes natalensis and Odontotermes sp.

Authors:  Felix A Hager; Wolfgang H Kirchner
Journal:  J Exp Biol       Date:  2013-09-01       Impact factor: 3.312

6.  Termites live in a material world: exploration of their ability to differentiate between food sources.

Authors:  Ra Inta; Joseph C S Lai; Eugene W Fu; Theodore A Evans
Journal:  J R Soc Interface       Date:  2007-08-22       Impact factor: 4.118

7.  Determination of feeding preference of Formosan subterranean termite (Coptotermes formosanus Shiraki) for some amino acid additives.

Authors:  J Chen; G Henderson
Journal:  J Chem Ecol       Date:  1996-12       Impact factor: 2.626

8.  Transmission of vibration across honeycombs and its detection by bee leg receptors

Authors: 
Journal:  J Exp Biol       Date:  1996       Impact factor: 3.312

9.  Quantifying ant activity using vibration measurements.

Authors:  Sebastian Oberst; Enrique Nava Baro; Joseph C S Lai; Theodore A Evans
Journal:  PLoS One       Date:  2014-03-21       Impact factor: 3.240

10.  Novel method for pairing wood samples in choice tests.

Authors:  Sebastian Oberst; Theodore A Evans; Joseph C S Lai
Journal:  PLoS One       Date:  2014-02-14       Impact factor: 3.240

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  1 in total

1.  Termites manipulate moisture content of wood to maximize foraging resources.

Authors:  Sebastian Oberst; Michael Lenz; Joseph C S Lai; Theodore A Evans
Journal:  Biol Lett       Date:  2019-07-10       Impact factor: 3.703

  1 in total

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