4.6 Article

Isotopic ecology of coyotes from scat and road kill carcasses: A complementary approach to feeding experiments

期刊

PLOS ONE
卷 12, 期 4, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0174897

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  1. National Science Foundation, Directorate of Biological Sciences, Doctoral Dissertation Improvement Grant [DEB-467 1311431]
  2. Mildred E. Mathias Graduate Student Research Grant

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Scat is frequently used to study animal diets because it is easy to find and collect, but one concern is that gross fecal analysis (GFA) techniques exaggerate the importance of smallbodied prey to mammalian mesopredator diets. To capitalize on the benefits of scat, we suggest the analysis of scat carbon and nitrogen isotope values (delta(13) C and delta(15) N). This technique offers researchers a non-invasive method to gather short-term dietary information. We conducted three interrelated studies to validate the use of isotopic values from coyote scat: 1) we determined tissue-to-tissue apparent C and N isotope enrichment factors (e(13)* and e(15)*) for coyotes from road kill animals (n = 4); 2) we derived diet-to-scat isotope discrimination factors for coyotes; and 3) we used field collected coyote scats (n = 12) to compare estimates of coyote dietary proportions from stable isotope mixing models with estimates from two GFA techniques. Scat consistently had the lowest d13 C and d15 N values among the tissues sampled. We derived a diet-to-scat Delta C-13 value of -1.5 parts per thousand +/- 1.6 parts per thousand and Delta(15) N value of 2.3 parts per thousand +/- 1.3 parts per thousand for coyotes. Coyote scat delta(13) C and delta(15) N values adjusted for discrimination consistently plot within the isotopic mixing space created by known dietary items. In comparison with GFA results, we found that mixing model estimates of coyote dietary proportions de-emphasize the importance of small-bodied prey. Coyote scat delta(13) C and delta N-15 values therefore offer a relatively quick and non-invasive way to gain accurate dietary information.

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