Skip to Main Content
Simultaneous unbiased estimates of multiple downed wood attributes in perpendicular distance samplingAuthor(s): Mark J. Ducey; Jeffrey H. Gove; Harry T. Valentine
Source: Canadian Journal of Forest Research. 38: 2044-2051.
Publication Series: Scientific Journal (JRNL)
Station: Northern Research Station
PDF: View PDF (796.12 KB)
DescriptionPerpendicular distance sampling (PDS) is a fast probability-proportional-to-size method for inventory of downed wood. However, previous development of PDS had limited the method to estimating only one variable (such as volume per hectare, or surface area per hectare) at a time. Here, we develop a general design-unbiased estimator for PDS. We then show how that estimator can be used to develop simple measurement protocols that allow simultaneous, unbiased estimation of multiple downed wood variables, including logs per hectare, length of logs per hectare, surface area or area coverage per hectare, and volume per hectare.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
- Please contact Sharon Hobrla, firstname.lastname@example.org if you notice any errors which make this publication unusable.
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationDucey, Mark J.; Williams, Michael S.; Gove, Jeffrey H.; Valentine, Harry T. 2008. Simultaneous unbiased estimates of multiple downed wood attributes in perpendicular distance sampling. Canadian Journal of Forest Research. 38: 2044-2051.
- Perpendicular distance sampling: an alternative method for sampling downed coarse woody debris
- Methods for the quantification of coarse woody debris and an examination of its spatial patterning: A study from the Tenderfoot Creek Experimental Forest, MT
- Estimating the carbon in coarse woody debris with perpendicular distance sampling. Chapter 6
XML: View XML