A General Model for Understanding the Perception of Scenic Beauty in Northern Hardwood Forests

• DOI: 10.3368/lj.9.2.86
• Publication Date: 2016-12-15T04:56:15Z
• Authors: Robert G. Ribe
• Keywords: Beauty; Tree (set theory); Replication; Predictive power

A research agenda for finding more generally useful psychophysical models to predict perceived forest beauty is proposed. An initial step in this process undertaken by developing a model northern hardwood forests that exhibits properties may make it regionally valid. Toward end, the new data from study were used retest number of previously reported models. These replication results are assessed and applied construction regression model. This further developed use wide variety sample forests, comprehensively including effective statistically significant theoretical intuitive visual factors, achieving high predictive power. The resulting demonstrates importance damage, tree density, ground vegetation, large trees, visually distinctive types predicting beauty. It also supports possibility devdoping applicable through theory development.