Kluever, B. M., M. B. Main, S. W. Breck, R. C. Lonsinger, J. H. Humphrey, J. W. Fischer, M. P. Milleson, and A. J. Piaggio. 2022. Using noninvasive genetics for estimating density and assessing diet of urban and rural coyotes in Florida, USA. Urban Naturalist 9(51): 1-24. https://www.eaglehill.us/URNAonline2/access-pages/051-Kluever-accesspage.shtml
Abstract
Coyotes (Canis latrans) are expanding their range and due to conflicts with the public and concerns of coyotes affecting natural resources such as game or sensitive species, there is interest and often a demand to monitor coyote populations. A challenge to monitoring is that traditional invasive methods involving live-capture of individual animals are costly and can be controversial. Natural resource management agencies can benefit from contemporary noninvasive genetic sampling approaches aimed at determining key aspects of coyote ecology (e.g., population density and food habits). However, the efficacy of such approaches under different environmental conditions is poorly understood. Our objectives were to 1) examine accumulation and DNA degradation rates of coyote scats in metropolitan and rural sites in Florida to help optimize methods to estimate population density; and 2) explore new genetic methods for determining diet of coyotes based on vertebrate, plant, and invertebrate species DNA identified in scat. Recently developed DNA metabarcoding approaches make it possible to simultaneously identify DNA from multiple prey species in predator scat samples, but an exploration of this tool for assessing coyote diet has not been pursued. We observed that scat accumulation rates (0.02 scats/km/day) did not vary between sites and fecal DNA amplification success decreased and genotyping errors increased over time with exposure to sun and precipitation. DNA sampling allowed us to generate a coyote density estimate for the urban environment of eight coyotes per 100 km2, but lack of recaptures in the rural area precluded density estimation. DNA metabarcoding showed promise for assessing diet contributions of vertebrate species to coyote diet. Feral swine (Sus scrofa) were detected as prey at higher frequencies than expected. We identify several considerations that can be used to optimize future noninvasive sampling efforts for coyotes in the southeastern United States. We also discuss strengths and drawbacks of utilizing DNA metabarcoding for assessing diet of generalist carnivores such as coyotes.