Computer vision applications are very
useful to study animal movements, but due to their intrinsic complexity they
are challenging to design, implement, and use properly. In our new paper (see http://aslo.org/lomethods/free/2013/0278.html)
we describe a laboratory system for tracking zooplankton in 3D. We demonstrate
the crucial importance of using a correct calibration for proper interpretation
of animal swimming behaviour and why 2D tracks are unable to give complete
information on Daphnia movement
performance.
This new system is currently used to
investigate how zooplankton deal under multiple risks – such as UV radiation
and predation – and how individual difference in behavioural responses might
affect the functioning of aquatic ecosystems. More to come soon…
/Giuseppe et al.
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