Environmental and Ecological Statistics

, Volume 12, Issue 2, pp 139–154 | Cite as

Design unbiased estimation in line intersect sampling using segmented transects

  • David L.R. Affleck
  • Timothy G. Gregoire
  • Harry T. Valentine
Article

Abstract

In many applications of line intersect sampling, transects consist of multiple, connected segments in a prescribed configuration. The relationship between the transect configuration and the selection probability of a population element is illustrated and a consistent sampling protocol, applicable to populations composed of arbitrarily shaped elements, is proposed. It is shown that this protocol obviates the arbitrary practice of treating multiple intersections of a single particle as independent probabilistic events and preserves the design-unbiasedness of Kaiser’s (1983, Biometrics 39, 965–976) conditional and unconditional estimators, suitably generalized to segmented transect designs. The relative efficiency and utility of segmented transect designs are also discussed from a fixed population perspective.

Keywords

coarse woody debris design-unbiasedness multiple intersections transect configuration 

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Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • David L.R. Affleck
    • 1
  • Timothy G. Gregoire
    • 1
  • Harry T. Valentine
    • 2
  1. 1.School of Forestry and Environmental StudiesYale UniversityNew HavenUSA
  2. 2.USDA Forest ServiceNortheastern Research StationDurhamUSA

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