4.3 Article

Comparison of Three Methods for Measuring Dietary Composition of Plains Hog-nosed Snakes

Journal

HERPETOLOGICA
Volume 78, Issue 2, Pages 119-132

Publisher

HERPETOLOGISTS LEAGUE
DOI: 10.1655/HERPETOLOGICA-D-21-00023

Keywords

Fecal eDNA; Predation; Stable isotopes; Trophic ecology

Categories

Funding

  1. Illinois Department of Natural Resources (IDNR)
  2. North Carolina Herpetological Society
  3. Utah State University Student Association Research Grant
  4. Utah State University Ecology Center Research
  5. Graduate School, Provost's Office
  6. Department of Biological Sciences at Eastern Illinois University

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Wild animal diet studies can utilize methods such as gut content analysis, stable isotopes, and fecal environmental DNA. Each method has its own strengths and weaknesses, and combining them can provide a more comprehensive understanding.
Wild animal diets are challenging to quantify, and the various methods for doing so have strengths and weaknesses. Combining multiple methods can allow ecologists to assess their level of confidence in particular results, increase sample size, and investigate diet over varying time scales. The biases of traditional gut content-based methods are mostly well understood. Newer methods may have important biases that can only be worked out through comparison to established ones. We collected data on the diet of wild Plains Hog-nosed Snakes (Heterodon nasicus) using multiple, fundamentally dissimilar methods, combined analytically using a Bayesian framework to describe an ontogenetic dietary shift. Gut contents were the most straightforward, but yielded a small sample size that fell below any reasonable threshold for making generalizations. Stable isotopes indicated an obvious ontogenetic dietary shift, but were labor-intensive, and conclusions are limited by multiple methodological caveats including similarity among prey groups, maternal carryover effects, and uncertainty in trophic enrichment factors. Fecal environmental DNA (eDNA) was intermediate in terms of effort, yielding results congruent with the other two methods, but the interpretation of which would likely have been confounded by contaminants had we not used all three methods in tandem. Several apparent artifacts are discussed. There are some reassuring similarities among methods. There are also several differences. The most complete picture uses data from all methods taken together. Future studies should attempt to compare the biases, expense, and potential drawbacks of these and other methods in greater detail.

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