Advertisement

Statistical Methods and Applications

, Volume 11, Issue 2, pp 217–226 | Cite as

Empirical investigation about statistical properties of abundance estimates based on line-intercept and network sampling of tracks

  • Lorenzo Fattorini
  • Marzia Marchesselli
Statistical Applications

Abstract

Line-intercept sampling (Becker, 1991) and network sampling (Becker et al., 1998) seem to be the most appropriate procedures for estimating animal abundance in a study area on the basis of tracks. The purpose of this paper is to investigate the statistical properties of these alternative procedures by constructing confidence intervals for abundance and comparing the interval performances in terms of width and coverage.

Key words

Abundance estimation line-intercept sampling network sampling variance estimation asymptotic distribution confidence intervals 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Becker EF (1991) A terrestrial furbearer estimator based on probability sampling. J. Wildl. Manage.55: 730–737Google Scholar
  2. Becker EF, Spindler MA, Osborne TO (1998) A population estimator based on network sampling of tracks in the snow. J. Wildl. Manage.62: 968–977Google Scholar
  3. Berger YG (1998) Rate of convergence to normal distribution for the Horvitz-Thompson estimator. J. Statist. Plann. Inference74: 149–168zbMATHMathSciNetCrossRefGoogle Scholar
  4. Hayashi C, Komazawa T, Hayashi F (1979) A new statistical method to estimate the size of animal population. Ann. Inst. Statist. Math.31: Part A, 325–348zbMATHCrossRefGoogle Scholar
  5. Thompson SK (1992) Sampling, Wiley, New YorkGoogle Scholar
  6. Tyson EL, (1952) Estimating deer populations from tracks, 62-th Annual Conference, South Eastern Association of Game and Fish Committee, October 19–22 Savannah, GAGoogle Scholar

Copyright information

© Springer-Verlag 2000

Authors and Affiliations

  • Lorenzo Fattorini
    • 1
  • Marzia Marchesselli
    • 1
  1. 1.Dipartimento di Metodi QuantitativiUniversità di SienaSienaItaly

Personalised recommendations