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Quantifying Ant Activity Using Vibration Measurements

Overview of attention for article published in PLOS ONE, March 2014
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Title
Quantifying Ant Activity Using Vibration Measurements
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090902
Pubmed ID
Authors

Sebastian Oberst, Enrique Nava Baro, Joseph C. S. Lai, Theodore A. Evans

Abstract

Ant behaviour is of great interest due to their sociality. Ant behaviour is typically observed visually, however there are many circumstances where visual observation is not possible. It may be possible to assess ant behaviour using vibration signals produced by their physical movement. We demonstrate through a series of bioassays with different stimuli that the level of activity of meat ants (Iridomyrmex purpureus) can be quantified using vibrations, corresponding to observations with video. We found that ants exposed to physical shaking produced the highest average vibration amplitudes followed by ants with stones to drag, then ants with neighbours, illuminated ants and ants in darkness. In addition, we devised a novel method based on wavelet decomposition to separate the vibration signal owing to the initial ant behaviour from the substrate response, which will allow signals recorded from different substrates to be compared directly. Our results indicate the potential to use vibration signals to classify some ant behaviours in situations where visual observation could be difficult.

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The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Unknown 41 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Student > Bachelor 5 12%
Student > Master 4 10%
Student > Doctoral Student 3 7%
Researcher 3 7%
Other 8 19%
Unknown 9 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 33%
Neuroscience 5 12%
Engineering 3 7%
Environmental Science 2 5%
Physics and Astronomy 2 5%
Other 4 10%
Unknown 12 29%