@article{fdi:010040838,
  title = {{E}stimating parameters of neutral communities : {F}rom one single large to several small samples},
  author = {{M}unoz, {F}. and {C}outeron, {P}ierre and {R}amesh, {B}. {R}. and {E}tienne, {R}. {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he neutral theory of {S}. {P}. {H}ubbell 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}). {W}hile {E}tienne'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. {W}e de. ne here an alternative two-stage approach estimating h from an adequate subset of the individuals sampled in the field ( using {E}wens' sampling formula) and m from community samples ( using {E}tienne's sampling formula). {W}e 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 {S}outh {I}ndia. {T}he one-stage approach exhibits problems of bias and of poor differentiability between high-theta, low-m and low-theta, high-m solution domains. {C}onversely, 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.},
  keywords = {community ecology ; dispersal limitation ; {E}tienne' s sampling formula ; {E}wens' sampling formula ; {I}ndia ; neutral theory ; sampling ; wet evergreen tropical forest},
  booktitle = {},
  journal = {{E}cology},
  volume = {88},
  numero = {10},
  pages = {2482--2488},
  ISSN = {0012-9658},
  year = {2007},
  DOI = {10.1890/07-0049.1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010040838},
}