Multi-stage cluster sampling for estimating average species richness at different spatial grains
作者： F. Baffetta , G. Bacaro , L. Fattorini , D. Rocchini , A. Chiarucci
DOI: 10.1556/COMEC.8.2007.1.14
关键词: Multi stage 、 Cluster sampling 、 Ecology 、 Biodiversity 、 Bias of an estimator 、 Animal ecology 、 Community 、 Statistics 、 Species richness 、 Estimator 、 Biology
摘要: A multi-stage cluster sampling is proposed for quantifying and monitoring plant species richness at multiple spatial grains over large extents. An unbiased estimator of average different a conservative its variance are obtained in complete design-based framework, i.e., avoiding any assumption about the ecological community under study. application to Nature Reserve “ Lago di Montepulciano ” demonstrates that strategy may accomplish practical advantages quite satisfactory levels accuracy.
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