Genetic sampling for estimating density of common species

  • Ellen Cheng
  • , Karen E. Hodges
  • , Rahel Sollmann
  • , L. Scott Mills

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

Understanding population dynamics requires reliable estimates of population density, yet this basic information is often surprisingly difficult to obtain. With rare or difficult-to-capture species, genetic surveys from noninvasive collection of hair or scat has proved cost-efficient for estimating densities. Here, we explored whether noninvasive genetic sampling (NGS) also offers promise for sampling a relatively common species, the snowshoe hare (Lepus americanus Erxleben, 1777), in comparison with traditional live trapping. We optimized a protocol for single-session NGS sampling of hares. We compared spatial capture–recapture population estimates from live trapping to estimates derived from NGS, and assessed NGS costs. NGS provided population estimates similar to those derived from live trapping, but a higher density of sampling plots was required for NGS. The optimal NGS protocol for our study entailed deploying 160 sampling plots for 4 days and genotyping one pellet per plot. NGS laboratory costs ranged from approximately $670 to $3000 USD per field site. While live trapping does not incur laboratory costs, its field costs can be considerably higher than for NGS, especially when study sites are difficult to access. We conclude that NGS can work for common species, but that it will require field and laboratory pilot testing to develop cost-effective sampling protocols.

Original languageEnglish
Pages (from-to)6210-6219
Number of pages10
JournalEcology and Evolution
Volume7
Issue number16
DOIs
StatePublished - Aug 2017

Funding

We thank the Animal Welfare Institute, the National Park Service, and NSF (Division of Environmental Biology Grant 0841884) for funding this research. We appreciate logistical support from staff at Glacier National Park, Flathead National Forest, and Stillwater State Forest.

Funder number
0841884

    Keywords

    • density estimators
    • fecal pellets
    • noninvasive genetic sampling
    • snowshoe hare
    • spatial capture–recapture

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