Authors:F. Baffetta, G. Bacaro, L. Fattorini, D. Rocchini, and A. Chiarucci
A multi-stage cluster sampling is proposed for quantifying and monitoring plant species richness at multiple spatial grains over large spatial extents. An unbiased estimator of average species richness at different grains and a conservative estimator of its sampling variance are obtained in a complete design-based framework, i.e., avoiding any assumption about the ecological community under study. An application to the Nature Reserve “
Lago di Montepulciano
” demonstrates that the proposed strategy may accomplish practical advantages and quite satisfactory levels of accuracy.
Authors:A. Chiarucci, G. Bacaro, D. Rocchini, and L. Fattorini
Rarefaction has long represented a powerful tool for detecting species richness and its variation across spatial scales. Some authors recently reintroduced the mathematical expression for calculating sample-based rarefaction curves. While some of them did not claim any advances, others presented this formula as a new analytical solution. We provide evidence about formulations of the sample-based rarefaction formula older than those recently proposed in ecological literature.