GIS-Based Watershed Unit Forest Landscape Visual Quality Assessment in Yangshuo Section of Lijiang River Basin, China

被引:3
|
作者
Dong, Shulong [1 ,2 ,3 ]
Ma, Jiangming [1 ,2 ,3 ]
Mo, Yanhua [1 ,2 ,3 ]
Yang, Hao [1 ,2 ,3 ]
机构
[1] Guangxi Normal Univ, Key Lab Ecol Rare & Endangered Species & Environm, Minist Educ, Guilin 541006, Peoples R China
[2] Guangxi Key Lab Landscape Resources Conservat & S, Guilin 541006, Peoples R China
[3] Guangxi Normal Univ, Inst Sustainable Dev & Innovat, Guilin 541006, Peoples R China
关键词
visual quality assessment; forest landscape; GIS; Yangshuo section of Lijiang River Basin; SPECIES-DIVERSITY; ENVIRONMENT; MANAGEMENT;
D O I
10.3390/su142214895
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Yangshuo Section of the Lijiang River Basin (YS of LRB) is the essence of the Guilin landscape in China. The typical karst landforms and changing topography form a unique forest landscape in YS of LRB. In order to reveal the visual quality of itse forest landscape, this research used GIS spatial analysis technology combined with Analytic Hierarchy Process (AHP), the assessment factors were leveled and assigned, and some abstract assessment indicators in the visual quality assessment were quantified. Three primary indicators of forest landscape visual quality (FLVQ) assessment in YS of LRB, including Scenic Quality (SQ), Visual Sensitivity (VS), and Visual Absorption Capability (VAC), are proposed. Visual assessment units are divided based on the watershed, and a process and framework for the comprehensive assessment of FLVQ was established at the watershed scale. The results show that the FLVQ in YS of LRB is generally at a low level. The area percentage of FLVQ at high (13 '& 11 '), medium (9 ') and low (7 '& 5 ') levels are 10.95%, 29.67% and 59.38%, respectively. The comprehensive score of FLVQ in the karst area is slightly lower than that in the non-karst area, but the karst area of the units with the highest FLVQ accounts for 99.58% of the FLVQ of karst areas along the Lijiang River distributed in the Lijiang River Scenic Area, greater than that of any other areas. The FLVQ in regions with high vegetation coverage and large topographic changes is relatively higher. Slope, relief amplitude, and vegetation richness directly affect the visual quality of forest landscape. Under the influence of local scenic area protection policies and relatively stable natural climate, the FLVQ in YS of LRB has maintained a stable level in the past 20 years. The areas with low FLVQ are mainly cultivated land and construction land, which have low vegetation coverage and no obvious change in terrain. Based on the comprehensive assessment results of FLVQ in YS of LRB, the management goals and future development suitability of forest landscape is discussed. This research proposes appropriate construction and management strategies for forest landscape structures. The results are helpful for providing a scientific research basis for forest landscape resource conservation, landscape site selection, and forest ecotourism development in the Karst landscape area. The impact of human disturbance on the forest landscape fragmentation and the growth characteristics of forests under different landforms are the focus of future FLVQ research on similar areas.
引用
收藏
页数:28
相关论文
共 50 条
  • [21] Influences of watershed landscape composition and configuration on lake-water quality in the Yangtze River basin of China
    Liu, Wenzhi
    Zhang, Quanfa
    Liu, Guihua
    [J]. HYDROLOGICAL PROCESSES, 2012, 26 (04) : 570 - 578
  • [22] A visual landscape assessment approach for high-density urban development - A GIS-based index
    He, J
    Tsou, JY
    Xue, Y
    Chow, B
    [J]. Computer Aided Architectural Design Futures 2005, Proceedings, 2005, : 125 - 134
  • [23] Visual quality evaluation model of an urban river landscape based on random forest
    Li, Xin
    Li, Liang
    Wang, Xiangrong
    Lin, Qing
    Wu, Danzi
    Dong, Yang
    Han, Shuang
    [J]. Wu, Danzi (wudanzi@bjfu.edu.cn), 1600, Elsevier B.V. (133):
  • [24] Visual quality evaluation model of an urban river landscape based on random forest
    Li, Xin
    Li, Liang
    Wang, Xiangrong
    Lin, Qing
    Wu, Danzi
    Dong, Yang
    Han, Shuang
    [J]. ECOLOGICAL INDICATORS, 2021, 133
  • [25] Development and application of GIS-based assessment of land-use impacts on water quality: A case study of the Kharaa River Basin
    Gunsmaa Batbayar
    Martin Pfeiffer
    Martin Kappas
    Daniel Karthe
    [J]. Ambio, 2019, 48 : 1154 - 1168
  • [26] Development and application of GIS-based assessment of land-use impacts on water quality: A case study of the Kharaa River Basin
    Batbayar, Gunsmaa
    Pfeiffer, Martin
    Kappas, Martin
    Karthe, Daniel
    [J]. AMBIO, 2019, 48 (10) : 1154 - 1168
  • [27] Assessment of Water Quality and Identification of Polluted Risky Regions Based on Field Observations & GIS in the Honghe River Watershed, China
    Yan, Chang-An
    Zhang, Wanchang
    Zhang, Zhijie
    Liu, Yuanmin
    Deng, Cai
    Nie, Ning
    [J]. PLOS ONE, 2015, 10 (03):
  • [28] Watershed Prioritization of Wardha River Basin, Maharashtra, India Using Morphometric Parameters: A Remote Sensing and GIS-Based Approach
    Manjare, B. S.
    Khan, S.
    Jawadand, S. A.
    Padhye, M. A.
    [J]. HYDROLOGIC MODELING, 2018, 81 : 353 - 366
  • [29] GIS-based Decision Making Analysis of Nonpoint Source Pollution Management in Zhangxi River Watershed, PR China
    Li, Aimei
    Yang, Haizhen
    Gui, Xinan
    [J]. 2009 3RD INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICAL ENGINEERING, VOLS 1-11, 2009, : 5665 - 5670
  • [30] Groundwater potential assessment using GIS-based ensemble learning models in Guanzhong Basin, China
    Wang, Zitao
    Wang, Jianping
    Yu, Dongmei
    Chen, Kai
    [J]. ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (06)