title: [Protection regionalization of Houshi Forest Park based on landscape sensitivity].
abstract: By using GIS technology, and selecting slope, relative distance to viewpoints, relative distance to tourism roads, visual probability of viewpoints, and visual probability of tourism roads as the indices, the landscape sensitivity of Houshi Forest Park was assessed, and an integrated assessment model was established. The AHP method was utilized to determine the weights of the indices, and further, to identify the integrated sensitivity class of the areas in the Park. Four classes of integrated sensitivity area were divided. Class I had an area of 297.24 hm2, occupying 22.9% of the total area of the Park, which should be strictly protected to maintain natural landscape, and prohibited any exploitation or construction. Class II had an area of 359.72 hm2, accounting for 27.8% of the total. The hills in this area should be kept from destroying to protect vegetation and water, but the simple byway and stone path could be built. Class III had an area reached up to 495.80 hm2, occupying 38.3% of the total, which could be moderately exploited, and artificial landscape was advocated to beautify and set off natural landscape. Class IV had the smallest area (142.80 hm2) accounting for 11% of the total, which had the greatest potential of exploitation, being possible to build large-scale integrated tourism facilities and travelling roads.
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: Jia-hui
authors.initials: JH
authors.lastname: Zhang
authors.forename: Miao
authors.initials: M
authors.lastname: Liu
mesh_terms: D002681:China; D003247:Conservation of Natural Resources; D004463:Ecology; D004779:Environment Design; D016468:Forestry; D040362:Geographic Information Systems; D014197:Trees / Q000254:growth & development*