Elucidating spatially explicit behavioral landscapes in the Willow Flycatcher

摘要: Abstract Animal resource selection is a complex, hierarchical decision-making process, yet studies often focus on the presence and absence of an animal rather than animal's behavior at use locations. In this study, we investigate foraging vocalization in population Willow Flycatchers, Empidonax traillii adastus, using Bayesian spatial generalized linear models. These models produce “behavioral landscapes” which space linked through behavior. Radio telemetry locations were collected from 35 adult Flycatchers (n = 14 males, n = 13 females, n = 8 unknown sex) over 2003 2004 breeding seasons Fish Creek, Utah. Results 2-stage modeling approach showed that habitat type, perch position, distance arithmetic mean home range (in males) or nest site females) important factors influencing selection. Parameter estimates individual-level indicated high intraspecific variation various types heights for vocalization. On level, selected riparian other vocalizing but used multiple including mountain shrub, young riparian, upland forest. Mapping observed predicted occurred disparate areas range. This suggests core may exist ranges individual flycatchers, demonstrates behavioral landscape can be applied to identify spatially behaviorally distinct areas. The applicable wide taxa improve our understanding context