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Some applications of genetics in statistical ecology

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  • R. M. Fewster

    (University of Auckland)

Abstract

Genetic data are in widespread use in ecological research, and an understanding of this type of data and its uses and interpretations will soon be an imperative for ecological statisticians. Here, we provide an introduction to the subject, intended for statisticians who have no previous knowledge of genetics. Although there are numerous types of genetic data, we restrict attention to multilocus genotype data from microsatellite loci. We look at two application areas in wide use: investigating population structure using genetic assignment and related techniques; and using genotype data in capture–recapture studies for estimating population size and demographic parameters. In each case, we outline the conceptual framework and draw attention to both the strengths and weaknesses of existing approaches to analysis and interpretation.

Suggested Citation

  • R. M. Fewster, 2017. "Some applications of genetics in statistical ecology," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 349-379, October.
    • Handle: RePEc:spr:alstar:v:101:y:2017:i:4:d:10.1007_s10182-016-0273-0
    DOI: 10.1007/s10182-016-0273-0
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    References listed on IDEAS

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    1. William A. Link & Jun Yoshizaki & Larissa L. Bailey & Kenneth H. Pollock, 2010. "Uncovering a Latent Multinomial: Analysis of Mark–Recapture Data with Misidentification," Biometrics, The International Biometric Society, vol. 66(1), pages 178-185, March.
    2. James C. Russell & David R. Towns & Sandra H. Anderson & Mick N. Clout, 2005. "Intercepting the first rat ashore," Nature, Nature, vol. 437(7062), pages 1107-1107, October.
    3. Matthew R. Schofield & Simon J. Bonner, 2015. "Connecting the latent multinomial," Biometrics, The International Biometric Society, vol. 71(4), pages 1070-1080, December.
    4. R. T. R. Vale & R. M. Fewster & E. L. Carroll & N. J. Patenaude, 2014. "Maximum likelihood estimation for model M t,α for capture–recapture data with misidentification," Biometrics, The International Biometric Society, vol. 70(4), pages 962-971, December.
    5. Richard J. Barker & Matthew R. Schofield & Janine A. Wright & Alain C. Frantz & Chris Stevens, 2014. "Closed-population capture–recapture modeling of samples drawn one at a time," Biometrics, The International Biometric Society, vol. 70(4), pages 775-782, December.
    6. Janine A. Wright & Richard J. Barker & Matthew R. Schofield & Alain C. Frantz & Andrea E. Byrom & Dianne M. Gleeson, 2009. "Incorporating Genotype Uncertainty into Mark–Recapture-Type Models For Estimating Abundance Using DNA Samples," Biometrics, The International Biometric Society, vol. 65(3), pages 833-840, September.
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    Cited by:

    1. L. F. McMillan & R. M. Fewster, 2017. "Visualizations for genetic assignment analyses using the saddlepoint approximation method," Biometrics, The International Biometric Society, vol. 73(3), pages 1029-1041, September.
    2. Roland Langrock & David L. Borchers, 2017. "Guest editors’ introduction to the special issue on “Ecological Statistics”," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 345-347, October.

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