Journal
JOURNAL OF WILDLIFE MANAGEMENT
Volume 74, Issue 4, Pages 668-677Publisher
WILEY
DOI: 10.2193/2009-292
Keywords
abundance estimate; Afghanistan; argali; fecal samples; mark-recapture; noninvasive sampling; Ovis ammon
Funding
- United States Agency for International Development (USAID)
- Portuguese American Foundation
- Centro de Investigacao em Biodiversidade e Recursos Geneticos-Universidade do Porto
- Portuguese Science Foundation [SFRH/BPD/36021/2007, SFRH/BPD/38096/2007]
- Fundação para a Ciência e a Tecnologia [SFRH/BPD/36021/2007] Funding Source: FCT
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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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