Accommodating Unmodeled Heterogeneity in Double‐Observer Distance Sampling Surveys

Summary 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 symptomat...

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Bibliographic Details
Published in:Biometrics
Main Authors: Borchers, D. L., Laake, J. L., Southwell, C., Paxton, C. G. M.
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2005
Subjects:
Applied Mathematics
General Agricultural and Biological Sciences
General Immunology and Microbiology
General Biochemistry, Genetics and Molecular Biology
General Medicine
Statistics and Probability
Antarctic
The Antarctic
Antarc*
Crabeater Seals
Online Access:http://dx.doi.org/10.1111/j.1541-0420.2005.00493.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1541-0420.2005.00493.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1541-0420.2005.00493.x
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Summary:Summary 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.

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