Accommodating unmodeled heterogeneity in double-observer distance sampling surveys

David Louis Borchers, JLL Laake, C Southwell, CGM Paxton

Research output: Contribution to journalArticlepeer-review

97 Citations (Scopus)

Abstract

Mark-recapture models applied to double-observer distance sampling data neglect the information on relative detectability of objects contained in the distribution of observed distances. A difference between the observed distribution and that predicted by the mark-recapture model is symptomatic of a failure of the assumption of zero correlation between detection probabilities implicit in the mark-recapture model. We develop a mark-recapture-based model that uses the observed distribution to relax this assumption to zero correlation at only one distance. We demonstrate its usefulness in coping with unmodeled heterogeneity using data from an aerial survey of crabeater seals in the Antarctic.

Original languageEnglish
Pages (from-to)372-378
Number of pages7
JournalBiometrics
Volume62
Issue number2
DOIs
Publication statusPublished - Jun 2006

Keywords

  • distance sampling
  • double observer
  • heterogeneity
  • mark-recapture
  • point independence
  • LINE TRANSECT SURVEYS
  • RECAPTURE MODELS
  • POPULATION-SIZE

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