Vogeler, Jody.C., Hudak, A.T., Vierling, L.A.,  and Vierling, K.T., LiDAR-derived canopy structure architecture predicts Brown creeper occupancy of two western coniferous forest. The Condor. 115:614-622.

            
          Brown creeper has been strongly related to characteristics of old grow forest. Thus, this bird can be used as an indicator species to monitor these forests. Because LiDAR is able to measure characteristics of the canopy forest, that are difficult to calculate in the field; in this study, the authors used LiDAR derived structure canopy forest data, to evaluate the forested landscape’s occupancy of brown creeper at two sites in Idaho, USA. They used ArcGIS to develop the predictive models. They found out that LiDAR derived data played an important role as predictors of Brown creeper occupancy. Vogeler, et al., also mention that the high resolution LiDAR metrics of the canopy architecture can be used in models at different scales, from local to landscape