Estimating species richness in hyper-diverse large tree communities - Botanique et bio-informatique de l'architecture des plantes et des végétations Accéder directement au contenu
Article Dans Une Revue Ecology Année : 2017

Estimating species richness in hyper-diverse large tree communities

Résumé

Species richness estimation is one of the most widely used analyses carried out by ecologists, and nonparametric estimators are probably the most used techniques to carry out such estimations. We tested the assumptions and results of nonparametric estimators and those of a logseries approach to species richness estimation for simulated tropical forests and five datasets from the field. We conclude that nonparametric estimators are not suitable to estimate species richness in tropical forests, where sampling intensity is usually low and richness is high, because the assumptions of the methods do not meet the sampling strategy used in most studies. The logseries, while also requiring substantial sampling, is much more effective in estimating species richness than commonly used nonparametric estimators, and its assumptions better match the way field data is being collected.
Fichier non déposé

Dates et versions

hal-01608921 , version 1 (03-10-2017)

Identifiants

Citer

Hans ter Steege, Daniel Sabatier, Sylvia Mota de Oliveira, William E. Magnusson, Jean-François Molino, et al.. Estimating species richness in hyper-diverse large tree communities. Ecology, 2017, 98 (5), pp.1444-1454. ⟨10.1002/ecy.1813⟩. ⟨hal-01608921⟩
123 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More