Progress in Predicting the Perceived Scenic Beauty of Forest Landscapes
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.
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Document Type: Journal Article
Affiliations: Department of Psychology and School of Renewable Resources, University of Arizona, Tucson, AZ 85721
Publication date: 1981-03-01
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Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
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2016 Impact Factor: 1.782 (Rank 17/64 in forestry)
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June 1, 2016 to Feb. 28, 2017
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