Simultaneous unbiased estimates of multiple downed wood attributes in perpendicular distance sampling.

Authors

Mark J. Ducey, University of New HampshireFollow
Michael S. Williams, Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO
Jeffrey H. Gove, USDA Forest Service, Northeastern Research Station, DurhamFollow
Harry T. Valentine, University of New Hampshire - Main Campus

Abstract

Abstract

Perpendicular 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.

Department

Natural Resources and the Environment

Publication Date

7-2008

Journal Title

Canadian Journal of Forest Research

Publisher

NRC Press

Digital Object Identifier (DOI)

10.1139/X08-019

Document Type

Article

Recommended Citation

Ducey, M.J., Williams, M.S., Gove, J.H., Valentine, H.T. Simultaneous unbiased estimates of multiple downed wood attributes in perpendicular distance sampling. (2008) Canadian Journal of Forest Research, 38 (7), pp. 2044-2051. doi: 10.1139/X08-019

Rights

© 2008 NRC.