TABLE 1.
Model | Quasi‐LL | K | ΔQIC |
---|---|---|---|
Base + IndirectKill + IndirectLion | −394335.1 | 14 | 0.0 |
Base + ln(DirectKill) + IndirectLion a | −394346.0 | 14 | 6.7 |
Base | −394401.1 | 12 | 65.7 |
Base + ln(DirectKill) + ln(DirectLion) | −394400.0 | 14 | 79.3 |
Base + IndirectKill + ln(DirectLion) | −394400.2 | 14 | 110.3 |
The following are provided for each model: quasi‐likelihood (Quasi‐LL), number of predictors (K), difference in QIC between model and best performing model (ΔQIC). Direct metrics were quantified based on the distance‐to and time‐since locations of risk and reward, whereas indirect metrics were quantified based on predictions of the probability of occurrence for risk and reward based on habitat associations. Coyote, mountain lion, and kill site data collected during May 2017–September 2020 in southwestern Wyoming, USA.
Hypothesized highest ranked model based on the low perceptibility of mountain lions and high perceptibility of kills made by mountain lions.