Argali Abundance in the Afghan Pamir Using Capture–Recapture Modeling From Fecal DNA

Authors

  • RICHARD B. HARRIS,

    Corresponding author
    1. Department of Ecosystem and Conservation Science, University of Montana, Missoula, MT 59812, USA
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  • JOHN WINNIE JR.,

    1. Department of Ecosystem and Conservation Science, University of Montana, Missoula, MT 59812, USA
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    • Ecology Department, Montana State University, Bozeman, MT 59715, USA

  • STEPHEN J. AMISH,

    1. Department of Biological Sciences, University of Montana, Missoula, MT 59812, USA
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  • ALBANO BEJA-PEREIRA,

    1. Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrãrio de Vairão, 4485-661 Vairão, Portugal
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  • RAQUEL GODINHO,

    1. Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrãrio de Vairão, 4485-661 Vairão, Portugal
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  • VǍNIA COSTA,

    1. Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrãrio de Vairão, 4485-661 Vairão, Portugal
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  • GORDON LUIKART

    1. Department of Biological Sciences, University of Montana, Missoula, MT 59812, USA
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    • Flathead Lake Biological Station, University of Montana, Polson, MT 59860, USA


E-mail: rharris@montana.com

Abstract

Abstract: Estimating population size in a mark-recapture framework using DNA obtained from remotely collected genetic samples (e.g., feces) has become common in recent years but rarely has been used for ungulates. Using DNA extracted from fecal pellets, we estimated the size of an argali (Ovis ammon) population that was believed to be isolated from others within the Big Pamir Mountains, Afghanistan, an area where access was difficult and expensive. We used closed-capture models to estimate abundance, and Pradel models to examine closure assumptions, both as implemented in Program MARK. We also made visual counts of argali in the Big Pamirs, allowing comparison of count indices of abundance with modeled estimates. Our model-averaged estimate for female argali in the Big Pamir was 172 (95% CI = 117–232), which was about 23% higher than our best assessment using uncorrected visual counts. However, mark-recapture models suggested that males were not a closed population; thus, we were unable to provide a meaningful estimate of overall population size. Males either suffered much higher mortality than females during the sampling period, or, more likely, males moved in and out of the Big Pamir area. Although information from DNA did not provide a clear overall population estimate, it suggested that the Big Pamir was not isolated from other argali populations, which could not have been confirmed with visual observations alone. Estimating argali population size using mark-recapture models and fecal DNA is feasible but may be too expensive for frequent monitoring of large and remote populations. Our study demonstrates the importance of sex identification and separate abundance estimation for each sex, especially if movement ecology differs by sex.

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