R help - Jul 2013 - detect multivariate outliers with aq.plot {mvoutliers} high dimensions

Hei,
i have a species abundance data set CommData, with n (samples)=40 and p
(species)=107. 
Sample	Species A	Species B	Species C	Species D	?.
411_2010	40	20	0	0	
412_2010	30	20	0	0	
413_2010	0	0	0	0	
414_2010	0	10	0	0	
415_2010	20	0	0	0	
418_2010	0	0	0	0	
419_2010	0	0	0	0	
421_2010	160	40	0	10	
?.					
	
I try to find outliers based on the Mahalonis distance with the package
{mvoutliers}. I get an error using >aq.plot(CommData): "Error in
covMcd(x,
alpha = quan) : n <= p -- you can't be serious!" 
SoI try >pcout(CommData), which is supposed to work for high dimensions, but
get the error "More than 50% equal values in one or more variables!"

Can this be fixed? Any idea how i can find outliers in my multidimensional
data?
Thanks a lot for any help!!



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OK, thanks:) Maybe for my purpose a visible evaluation is also fine. But in
general I imagine it to happen quite often that in ecological data, people
have e.g. more species than sites.




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