%0 Journal Article
%9 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES
%A Munoz, F.
%A Couteron, Pierre
%A Ramesh, B. R.
%A Etienne, R. S.
%T Estimating parameters of neutral communities : From one single large to several small samples
%D 2007
%L fdi:010040838
%G ENG
%J Ecology
%@ 0012-9658
%K community ecology ; dispersal limitation ; Etienne' s sampling formula ; Ewens' sampling formula ; India ; neutral theory ; sampling ; wet evergreen tropical forest
%M CC:0002507142-0009
%N 10
%P 2482-2488
%R 10.1890/07-0049.1
%U https://www.documentation.ird.fr/hor/fdi:010040838
%> https://www.documentation.ird.fr/intranet/publi/2007/12/010040838.pdf
%V 88
%W Horizon (IRD)
%X 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.
%$ 021 ; 082