Two-stage sector sampling for estimating small woodlot attributes
Author(s)
Corona, Piermaria
Fattorini, Lorenzo
Franceschi, Sara
Date Issued
2011
Type
Article
Abstract
A two-stage sampling strategy is proposed to assess small woodlots outside the forests scattered on extensive ter-
ritories. The first stage is performed to select a sample of small woodlots using fixed-size sampling schemes, and the second
stage is performed to sample trees within woodlots selected at first stage. Usually, fixed- or variable-area plots are adopted
to sample trees. However, the use of plot sampling in small patches such as woodlots is likely to induce a relevant amount
of bias owing to edge effects. In this framework, sector sampling proves to be particularly effective. The present paper in-
vestigates the statistical properties of two-stage sampling strategies for estimating forest attributes of woodlot populations
when sector sampling is adopted at the second stage. A two-stage estimator of population totals is derived together with a
conservative estimator of its sampling variance. By means of a simulation study, the performance of the proposed estimator
is checked and compared with that achieved using traditional plot sampling with edge corrections. Simulation results prove
the adequacy of sector sampling and provide some guidelines for the effective planning of the strategy. In some countries,
the proposed strategy can be performed with few modifications within the framework of large-scale forest inventories.
Additional information
L'articolo รจ disponibile sul sito dell'editore www.nrcresearchpress.com
Citation
Corona, P., Fattorini, L., Franceschi, S. 2011. Two-stage sector sampling for estimating small woodlot attributes. "Canadian Journal of Forest Research" 41 (9): 1819-1826.
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