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Progress in Predicting the Perceived Scenic Beauty of Forest Landscapes

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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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Keywords: Pinus ponderosa; esthetic resource measurement; ponderosa pine

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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  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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