Study on Optimization Method of Spatial Structure Characteristics of Peak Forest Landform in Wulingyuan Scenic Area

被引:1
|
作者
Zhang, Qian [1 ]
机构
[1] Jiaozuo Teachers Coll, Local Cooperat Off, Jiaozuo 454000, Henan, Peoples R China
关键词
Wulingyuan; Scenic Area; Peak Forest Landscape; Spatial Structure; Characteristics; Optimization;
D O I
10.15446/esrj.v24n1.85206
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
To protect the ecological environment of peak forest landform and maintain its integrity and stability, the optimization method of spatial structure characteristics of peak forest landform in Wulingyuan Scenic Area was studied. By using GIS and digital topographic analysis to study the basic features of sandstone peak forest landform, Wulingyuan peak forest landform and karst peak forest have great differences in lithological composition, as the weathering resistance is better than Cheltenham Badland landform; by using tree theory to analyze the features of Wulingyuan peak forest landform, according to area weight serialization of contour tree nodes, we can know the depression area. The karstification is stronger than that of the peak forest area, and the surface is relatively fragmented. Based on different landscape indices, the landscape pattern of Wulingyuan peak forest is analyzed. The fragmentation degree of vegetation is lower, and the fragmentation degree of building landscape is first increased, then decreased, and finally intensified. The proportion of artificial landscape decreases year by year and the trend of fragmentation is obvious. Based on the present situation of spatial structure characteristics of Wulingyuan peak forest landform, optimization methods such as combining centralization with decentralization and improving the quality of artificial landscape ecosystem were put forward.
引用
收藏
页码:35 / 44
页数:10
相关论文
共 50 条
  • [1] RESIDENTS' PERCEPTIONS OF RESETTLEMENT FOR NATURE-BASED TOURISM: A CASE STUDY OF WULINGYUAN SCENIC AREA, CHINA
    Wang, Kai
    Moyle, Brent D.
    Li, Zhimiao
    [J]. TOURISM REVIEW INTERNATIONAL, 2017, 21 (02): : 101 - 119
  • [2] Analyses on Characteristics of Couple's Participation in Decision-making of Family Travel Activities-A Case Study of Tourists in Wulingyuan Scenic Area
    Wu Hao
    Su Juan
    Yu Yong
    [J]. PROCEEDINGS OF THE 12TH EURO-ASIA CONFERENCE ON ENVIRONMENT AND CSR: TOURISM, SOCIETY AND EDUCATION SESSION, PT I, 2016, : 263 - 271
  • [3] Complementing conventional environmental impact assessments of tourism with ecosystem service valuation: A case study of the Wulingyuan Scenic Area, China
    Chen, Haojie
    [J]. ECOSYSTEM SERVICES, 2020, 43
  • [4] STUDY ON CARBON FOOTPRINT AND SPATIAL DISTRIBUTION CHARACTERISTICS OF HUMAN ACTIVITIES IN JIUZHAI VALLEY SCENIC AREA
    Sun, R. H.
    Ye, X. L.
    Gao, J.
    Zhu, Z. F.
    Du, J.
    [J]. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 2019, 17 (04): : 7477 - 7493
  • [5] Study on Spatial Structure of Forest Park in Chongqing Metropolitan Area
    Chen, Jianbo
    Qingzhong
    Qu, MingLiquan
    [J]. 2017 6TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS, 2017, : 30 - 34
  • [6] AUTUMN SEASONAL COLOR OPTIMIZATION METHOD FOR THE SCENIC FOREST OF PURPLE MOUNTAIN FOREST PARK
    Wang, Zi
    Li, Mingyang
    Qian, Chunhua
    [J]. FRESENIUS ENVIRONMENTAL BULLETIN, 2020, 29 (05): : 3738 - 3755
  • [7] Study on Optimization Strategies of Urban Structure in Ravine Landform -A Case of Yan'an
    Han, Xiaoli
    Song, Gongming
    Zhang, Wenwen
    [J]. ADVANCED BUILDING MATERIALS AND SUSTAINABLE ARCHITECTURE, PTS 1-4, 2012, 174-177 : 2302 - 2306
  • [8] Spatial Structure Characteristics Detecting of Landform based on Improved 3D Lacunarity Model
    Josef STROBL
    [J]. Chinese Geographical Science., 2012, 22 (01) - 96
  • [9] A Visitor Experience Perception Method for Hainan Forest Scenic Area Based on Keyword Analysis of Network Comments
    Jingfei, Que
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [10] Spatial structure characteristics detecting of landform based on improved 3D Lacunarity model
    Tao Yang
    Tang Guo'an
    Strobl, Josef
    [J]. CHINESE GEOGRAPHICAL SCIENCE, 2012, 22 (01) : 88 - 96