Estimating the Encounter Rate Variance in Distance Sampling

被引:117
作者
Fewster, Rachel M. [1 ]
Buckland, Stephen T. [2 ]
Burnham, Kenneth P. [3 ]
Borchers, David L. [2 ]
Jupp, Peter E. [4 ]
Laake, Jeffrey L. [5 ]
Thomas, Len [2 ]
机构
[1] Univ Auckland, Dept Stat, Auckland 1, New Zealand
[2] Univ St Andrews, CREEM, St Andrews KY16 9LZ, Fife, Scotland
[3] Colorado State Univ, CCFWRU, USGS, Ft Collins, CO 80523 USA
[4] Univ St Andrews, Math Inst, Sch Math & Stat, St Andrews KY16 9SS, Fife, Scotland
[5] NOAA, Natl Marine Mammal Lab, AFSC, NMFS, Seattle, WA 98115 USA
关键词
Distance sampling; Encounter rate; Line transect sampling; Point transect sampling; Stratified variance estimators; Systematic sampling; Variance estimation;
D O I
10.1111/j.1541-0420.2008.01018.x
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The dominant source of variance in line transect sampling is usually the encounter rate variance. Systematic survey designs are often used to reduce the true variability among different realizations of the design, but estimating the variance is difficult and estimators typically approximate the variance by treating the design as a simple random sample of lines. We explore the properties of different encounter rate variance estimators under random and systematic designs. We show that a design-based variance estimator improves upon the model-based estimator of Buckland et al. (2001, Introduction to Distance Sampling. Oxford: Oxford University Press, p. 79) when transects are positioned at random. However, if populations exhibit strong spatial trends, both estimators can have substantial positive bias under systematic designs. We show that poststratification is effective in reducing this bias.
引用
收藏
页码:225 / 236
页数:12
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