Gareth Russell wrote:
> Alexandre,
> 
> The Species Richness module on www.eco-tools.net calculates the same 
> statistics as EstimateS. 
> There is also a Mathematica notebook you can download that allows you to do 
> the calculations on 
> your own computer, if you have access to Mathematica. I mention it because 
> you could easily add 
> a few lines to make it loop through a series of files.
> 
> If you DO have access to Mathematica, and would like to try this, I would be 
> happy to add those 
> lines in the 'examples' section and send the notebook to you.
> 
> Gareth Russell
> 
> On Thu, 16 Nov 2006 15:25:45 -0200, Alexandre Souza <[EMAIL PROTECTED]> wrote:
> 
>> Dear friends,
>>
>>     In my present research, I am willing to estimate the species richness of 
>> ca 200 forest  
> communities, sampled by the Brazilian government. Samples are relatively 
> small (0,1 ha - 10 
> subsamples of 0,01ha each), and I need a software that calculates 
> nonparametric richness 
> estimators for more than one community at a time.
>>     Does any of you know of any software that do that? As far as I 
>> understood, EstimateS, the 
> most popular package, does not perform multiple tests.
>>     Thank you in advance for any suggestions,

Someone has already mentioned my functions that Jari O. put into vegan: 
these can easily be looped over (optimally with apply()!).  However, I 
feel I should point out that I was hesitant to have them publically 
available, because I can't see how we can even tell if any species 
richness estimator is any good:

Link, W.A., 2003.  Nonidentifiability of Population Size from 
Capture-Recapture Data with Heterogeneous Detection Probabilities. 
Biometrics 59: 1123-1130.

O'Hara, R.B., 2005. Species richness estimates: How many species can 
dance on the head of a pin? J. Anim. Ecol., 74: 375-386.

The non-parametric estimators are fine to use as lower bounds (Chao2 was 
derived as such: I haven't checked it formally, but I suspect that ACE 
assumes the abundance distribution is symmetric).

Bob

-- 
Bob O'Hara
Department of Mathematics and Statistics
P.O. Box 68 (Gustaf Hällströmin katu 2b)
FIN-00014 University of Helsinki
Finland

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