Using remotely-sensed metrics to identify regions containing high animal diversity and/or specific animal species or guilds can help prioritize forest management and conservation objectives across actively managed landscapes. We predicted avian species richness in two mixed conifer forests, Moscow Mountain and Slate Creek, containing different management contexts and located in...
Vegetation structure quantified by light detection and ranging (LiDAR) can improve understanding of wildlife occupancy and species-richness patterns. However, there is often a time lag between the collection of LiDAR data and wildlife data. We investigated whether a time lag between the LiDAR acquisition and field-data acquisition affected mapped wildlife...
In western conifer-dominated forests where the abundance of old-growth stands is decreasing, species
such as the Brown Creeper (Certhia americana) may be useful as indicator species for monitoring the health
of old-growth systems because they are strongly associated with habitat characteristics associated with old growth
and are especially sensitive to...