I'd like to see the readout,it sounds like a PERMANOVA design issuse in the way you have nested your factorsI tried this in Primer-E, and came up with some strange 'cannot compute' type answers in the read out - so I assume I have something wrong somewhere
If you plan to use Euclidean distances, you probably should normalise it....or that there are several different measurement scales (e.g. proportion of time in sight, duration (in milliseconds), number of bouts (count))
You still can. Run the PERMANOVA. If you find differences between your treatment groups, return to PRIMER and set up you SIMPER as normal.The other issue here is telling which behaviours differentiate the groups - (we would expect it was an anxiety-like behaviour) - I know you can do this with ANOSIM and then SIMPER in Primer-E, but there doesn't seem to be a SIMPER equivalent for PERMANOVA.
Im going to think about this a bit more and get back to you a bit later. I'd like to have a better idea of what your repsonses are.