Hi! I have a dataset with a list of species of sponges (Porifera) and the number of specimens found for each specie in three different sites. I add here a sample from my dataset. Which test should I use to compare the three sites showing both which species where found in each site and their abundance? I was also thinking of a visual representation showing just the difference between sites in terms of diversity of species (and not abundance), so that is possible to see which species were just in one sites and which ones were in both sites. For this last purpose I thought about doing an MDS but I am not sure if it is the right test to do neither how to do it in R and how to set the dataset, can you help me finding a script which also show the shape of the dataset? any advice in general would be great! thank you!
I suppose the Mann Whitney U test will help you for significant differences. there is also no problem with normality
Try software PAST.4, free.
There are many options to compare species diversity across sites
Hi,
I wonder why you would like to ignore the abundance information?
Based on a species-site abundance matrix, you could calculate a dissimilarty matrix (if the abundance data should be considered, I would use bray-curtis similarity) and conduct a mantel test between all three dissimilarity matrices to test for correlations between the species compositions of the three sites.
You can use the Hutcheson t-test that incorporates diversity indices. It's hard using R because by the time you learn it, it's too late hehe. Just do it yourself by hand or find a dedicated statistics programme :)
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