title: [Evaluation of view points in forest park based on landscape sensitivity].
abstract: Based on topographical characteristics, five factors including comparative slope, comparative distance, mutual visibility, vision probability, and striking degree were chosen to assess the landscape sensitivity of major view points in Houshi National Forest Park. Spatial analysis in GIS was used for exploring the theory and method of landscape sensitivity of view points. The results showed that in the Park, there were totally 23 view points, but none of them reached up to class I. Among the 23 points, 10 were of class II , accounting for 43.5% of the total, 8 were of class III, accounting for 34.8%, and 5 were of classes IV and V, accounting for 21.7%. Around the view points of class II, the landscape should be strictly protected to maintain their natural feature; around the view points of class III, human-made landscape points should be developed according to the natural landscape feature, and wide tourism roads and small-size buildings could be constructed but the style of the buildings should be harmonious with surrounding nature landscape; while around the view points of classes IV and V, large-size multifunctional items and roads could be built to perfect the natural landscape. Through the multi-perspective and quantitative evaluation of landscape sensitivity, this study enriched the theory of landscape visual assessment and landscape apperception, and provided scientific base and direction for the planning and management of forest parks and other tourism areas.
authors.affiliation: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. zhourui1215@163.com
authors.forename: Rui
authors.initials: R
authors.lastname: Zhou
authors.forename: Yue-hui
authors.initials: YH
authors.lastname: Li
authors.forename: Yuan-man
authors.initials: YM
authors.lastname: Hu
authors.forename: Miao
authors.initials: M
authors.lastname: Liu
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D004463:Ecology; D004779:Environment Design; D005069:Evaluation Studies as Topic; D016468:Forestry; D040362:Geographic Information Systems; D014197:Trees / Q000254:growth & development*