Progress in Predicting the Perceived Scenic Beauty of Forest Landscapes

Abstract Statistical models were developed for predicting the perceived scenic beauty of ponderosa pine forest landscapes using forest inventory data collected in the field. Regression equations were derived for combining measures of site characteristics, including numbers of trees of different species and sizes, amount of downed wood, and amount of vegetative ground cover, into estimates of the perceived scenic quality of the sites. The models successfully predicted esthetic preferences for forest landscapes with a variety of different physical characteristics. These models were then applied to ponderosa pine landscapes in a region different from the original site samples. With minor adjustments, the models performed as well for the new landscape samples as for the original landscapes. The models are consistent with past research and with intuitive expectations about the scenic effects of various forest features. Forest Sci. 27:71-80.