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I am conducting an investigation into the effect of two different grass management techniques (grazing vs. machine-mowing) upon floral biodiversity.

I have collected my data and now need to process it in a way that will yield meaningful and valid results. My data is in the form of 25 samples per area with %-abundance measured for each species in a 0.25m2 quadrat.

I am currently using a non-standard diversity quantification technique, called Disney's index (which I have been led to believe is named eponymously after R.H.L Disney, however I am unable to find any references describing this), in which we assign each species a weight based on percentage abundance, as follows:

                                           Table showing weights for %-abundances

We then use these weights to calculate the index as follows (i.e. by computing the sum of the weights of the species, over the number of species):

                                                                    enter image description here

I want to know if this is the best possible diversity index I could use for this type of analysis, or whether there are others which I should be considering.

Thanks in advance!

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up vote 4 down vote accepted

It sounds like you are interested in beta diversity which is the change in taxa composition (i.e., alpha diversity) between plots. There are a number of approaches to calculating beta diversity and the correct choice generally depends on the question(s) you are trying to answer. The most common approaches are very well described in this paper:

Anderson, M. J. et al. 2011. Navigating the multiple meanings of Beta diversity: a roadmap for the practicing ecologist. Ecology Letters 14:19-28

P.S. I am not familiar with Disney's index so I cannot comment on its merits.

P.P.S. You may also be interested in this question.

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I don't know anything about the "Disney index" but the equation you use looks like it's a version of Simpson's D, a very common biodiversity index. If you're just estimating two different kinds of sites (your two management strategies) I would suggest a rarefaction method. This can be estimated in either the vegan package in R, or EstimateS by Robert Colwell. Rarefaction takes into account the number of samples you have when calculating an estimate of the number of species you find. You could also use straight forward species richness estimators like Chao1 and Chao2. The best "diversity index" in my opinion is Hurlbert's PIE

Hope this helps.

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You might want to look at Koleff's paper (open access @ JAE

Given that you have quantitative data, you should look at the difference between presence/absence and quantitative measures. A Bry-Curtis measure or something to that effect would be way better than a Sorensen or Whittaker here, lest you lose information.

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