One of the few general laws in ecology is that most species in biological communities are rare.

Species abundance distributions ¹⁾ from samples of (A) Moths, (B) Birds, (C) Trees, (D) Microbes. See Prado (2009).

Many models were proposed to describe this pattern, but such a proliferation of explanations for the same pattern is an acknowledged embarrassment for ecologists.

We are working to fill four basic gaps that contribute to this scientific failure:

• Few standardized comparisons of the concurrent models
• Inadequate statistical methods to fit and to compare the models
• Sampling effects not included in some models
• The link between the pattern described by the models and the underlying ecological processes is not always clearly defined and evaluated.

1. To set and test a standarzide protocol to fit and to compare SAD models;
2. To evaluate teh effectiveness of this protocol to detect changes in biological diversity along environmental gradinets;
3. To simulate different community dynamics and to test the fit of different SAD models.

We are working in a protocol of model fitting and comparison based on the maximum likelihood principle ²⁾.

For SADs competing models may be different theoretical probability distributions, or the same distribution with different parameter values. This approach allows assessing whether an environmental gradient affects the type of abundance distribution, or just its shape.

Besides environmental factors, sampling is another source of variation in the observed abundances of species that should be included in models of SADs. We now have a Sampling Theory which formalizes how this can be done. A brief introduction and references are here.

Even if the abundances of species are equal in the community, they will be different in the sample.

Simple generating process were deduced for many SAD models. Therefore, it is possible to simulate in computer communities generated by these processes, and verify if in fact they converge to the theoretical SADs.

Also we can simulate samples from these virtual communities to assess the effect of sampling, as shown in the figure above and in this tutorial in R.

An R package to run the statistical protocols described above is in progress. You can check the working version here.

• Fundação de Amparo à Pesquisa do Estado de São Paulo
• Conselho Nacional de Desenvolvimento Científico e Tecnológico

• Original research proposal (in portuguese).

• This research include research projects of our students, see our ongoing projects page.

• For a introduction on our likelihood-based approach, please see our course wikisite on statistical modelling (in portuguese)

• A quick introduction to likelihood-based model fitting and comparison is here (in portuguese).

• An R-tutorial on sampling theory of SADs is here (in portuguese).

<bibtex>

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title = {Measuring Biological Diversity},
publisher = {Blackwell},
year = {2004},
author = {Magurran, A.E.}

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author = {May, R. M.},
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}

@ARTICLE{McGill2007,

author = {McGill, B.J. and Etienne, R.S. and Gray, J.S. and Alonso, D. and
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journal = {Ecology Letters},
year = {2007},
volume = {10},
pages = {995-1015},
number = {10},
month = {oct},
owner = {paulo},
timestamp = {2009.04.23}

}

@ARTICLE{Prado2009,

author = {Prado, P I},
title = {Distribuições de Abundâncias de Espécies: avanços analíticos para entender um padrão básico em ecologia},
journal = {Ciência e Ambiente},
year = {2009},
volume = {39},
pages = {121 -- 136},
file={:prado:prado2009_ca.pdf}

}

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title = {Species Coexistence - Ecological and Evolutionary Perspectives},
publisher = {Blackwell Science},
year = {1999},
author = {Tokeshi, M},
address = {London},
owner = {paulo},
timestamp = {2009.04.14}

} </bibtex>