Estimating parameters of neutral communities: From one single large to several small samples

Francois Munoz*, Pierre Couteron, B. R. Ramesh, Rampal S. Etienne

*Corresponding author for this work

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Abstract

The neutral theory of S. P. Hubbell postulates a two-scale hierarchical framework consisting of a metacommunity following the speciation - drift equilibrium characterized by the "biodiversity number'' theta, and local communities following the migration - drift equilibrium characterized by the "migration rate'' m ( or the "fundamental dispersal number'' I). While Etienne's sampling formula allows simultaneous estimation of h and m from a single sample of a local community, its applicability to a network of ( rather small) samples is questionable. We de. ne here an alternative two-stage approach estimating h from an adequate subset of the individuals sampled in the field ( using Ewens' sampling formula) and m from community samples ( using Etienne's sampling formula). We compare its results with the simultaneous estimation of theta and m ( one-stage estimation), for simulated neutral samples and for 50 1-ha plots of evergreen forest in South India. The one-stage approach exhibits problems of bias and of poor differentiability between high-theta, low-m and low-theta, high-m solution domains. Conversely, the two-stage approach yielded reasonable estimates and is to be preferred when several small, scattered plots are available instead of a single large one.

Original languageEnglish
Pages (from-to)2482-2488
Number of pages7
JournalEcology
Volume88
Issue number10
DOIs
Publication statusPublished - Oct-2007

Keywords

  • community ecology
  • dispersal limitation
  • Etienne's sampling formula
  • Ewens' sampling formula
  • India
  • neutral theory
  • sampling
  • wet evergreen tropical forest
  • BIODIVERSITY
  • POPULATIONS
  • ALLELES
  • EVOLUTION
  • FORMULA

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