Mid-winter Waterfowl Survey Data: which biodiversity Indices should be used?

I am analysing the species diversity of some polychaete samples and after performing a dendrogram and an MDS analysis, I got two clearly separated groups with significant differences in biodiversity indices. What analysis/es could I employ in order to know more about the species that account for most of this difference?

Thanks for your help. 

I am comparing tree species diversity between two land-use types. Is it enough to just use shannon and simpson index?

I have read about pielou and sorenden index and it looks like it could add some additional information about the community, but I am not sure.

Should I just use the first two indices or add the last two for some additional insights into the tree community. The study is from tropical Africa.

Can someone explain to me why in some Shannon diversity index calculation formula some author uses a binary logarithm and others a formula with ln?

Thanks for your help.

Species diversity can be calculated through available indices after going through precise data collection however , we do not have any universally accepted index which could be used to compute biodiversity in any system.

Dear colleagues, which indices for measuring species diversity you think are the best ? I used Shannon–Wiener diversity index , but reviewer thinks it is not the appropriate method. Can somebody tell my why, please? Do you use Shannon–Wiener diversity index? Could you give me some references where this index is used? Is Simpson' s diversity index better? If so, then why? Or just simple species richness?

I'm having a problem with my bloxplot with Shannon's and Simpson's indexs. The value of Shannon for my Community 1 indicating higher diversity (in relation of the Community 2), but have lower value for Simpson. I used 1-D Simpson's index. I done something wrong? or the Shannon's index is inversely proportional to Simpson's index (1-D)?

I am analysing diatom biodiversity of marine lake. Samples have been taken from high wave energy, low wave energy and moderate wave energy locations of the marine lake. I am using the Hill Series to graphically represent my data. For each of the three communities, I have calculated species richness, S (q=0), effective number of common species, eH' (q=1), and effective number of highly abundant species, 1/D (q=2). My data looks like this:

Community. Low Wave Energy. Moderate Wave Energy High Wave Energy

S 10 19 11

eH' 1,69124292 6,49758264 2,10265956

1/D 1,30682481 4,72615576 1,47050205

However, I need to do statistical analysis to determine if there is significantly higher diatom diversity in the moderate wave energy community compared to the other two communities. I have found online resources explaining how to calculate, i.e. using hutchersons t-test, the differences in diversity using shannon and simpson index, but I cannot find any relating to the effective versions of these indices (i.e. eH' and 1/D).

Does anybody have any advice. Should I just say the differences in shannon diversity and simpsons diversity are significant, or should I find a way to analyse the differences of effective shannon diversity and effective simpsons diversity. Any help would be greatly appreciated. Thanks!

I want to compare arthropod assemblages (with presence-absence data) found in several plant species belonging to a same genus.

As the sampling effort was not the same in some plant species, the resulting dendrograms are very skewed to the number of localites sampled.

I would like to know if there is a method to weight my data in order to get a more realistic interpretation of the relationship between host plants.

Do you know any statistical method that allows this kind of analysis?

Thanks in advance.

I have a table with species/site data and one with ecological conditions for each site. I would like to define some species groups having similar requirements. Is there any other method apart from the clustering?