Data for: Spatial prey availability and pulsed reproductive tactics: encounter risk in a canid-ungulate system

Predation risk is a function of spatiotemporal overlap between predator and prey, as well as behavioral responses during encounters. Dynamic factors (e.g., group size, prey availability, and animal movement or state) affect risk, but rarely are integrated in risk assessments. Our work targets a system where predation risk is fundamentally linked to temporal patterns in prey abundance and behavior. For neonatal ungulate prey, risk is defined within a short temporal window during which the pulse in parturition, increasing movement capacity with age, and anti-predation tactics have the potential to mediate risk.
In our coyote – mule deer (Canis latrans – Odocoileus hemionus) system, leveraging GPS data collected from both predator and prey, we tested expectations of the shared enemy and reproductive risk hypotheses. We asked two questions regarding risk: (A) how do primary and alternative prey habitat, predator and prey activity, and reproductive tactics (e.g., birth synchrony, maternal d..., , , # SPATIAL PREY AVAILABILITY AND PULSED REPRODUCTIVE TACTICS: ENCOUNTER RISK IN A CANID – UNGULATE SYSTEM

---

Data prepared by:

Mitchell J. Brunet, Haub School of Environment and Natural Resources, Wyoming Cooperative Fish and Wildlife Research Unit, Department of Zoology and Physiology, University of Wyoming, 804 E. Fremont St., Laramie, Wyoming, 82072, USA

Email:

Associated manuscript: Brunet, M. J., K. S. Huggler, J. D. Holbrook, P. W. Burke, M. Zornes, P. Lionberger, K. L. Monteith. Spatial prey availability and pulsed reproductive tactics: encounter risk in a canid–ungulate system. Journal of Animal Ecology.

---

Contains data assessed during encounters between neonatal mule deer and coyotes for use in evaluating the spatiotemporal factors that contribute to encounters and influence predator behavior.

NOTE: It is not recommended to open CSV files in Excel. Large files extend beyond the allowable number of rows and are clipped. Consider loading files directly into Program R...