• Included in CSCD
  • Chinese Core Journals
  • Included in WJCI Report
  • Included in Scopus, CA, DOAJ, EBSCO, JST
  • The Key Magazine of China Technology
Volume 36 Issue 3
Jun.  2017
Turn off MathJax
Article Contents
YU Yi’na, WANG Zhongmei. Evaluation of ecological sensitivity in the city-encircling forest belt of Guiyang based on GIS and AHP[J]. CARSOLOGICA SINICA, 2017, 36(3): 359-367. doi: 10.11932/karst20170310
Citation: YU Yi’na, WANG Zhongmei. Evaluation of ecological sensitivity in the city-encircling forest belt of Guiyang based on GIS and AHP[J]. CARSOLOGICA SINICA, 2017, 36(3): 359-367. doi: 10.11932/karst20170310

Evaluation of ecological sensitivity in the city-encircling forest belt of Guiyang based on GIS and AHP

doi: 10.11932/karst20170310
  • Publish Date: 2017-06-25
  • The city-encircling forest belt in Guiyang controls and regulates the ecological environment of the urban area. With development of urbanization construction recent years, this forest belt is suffering from damage to varied degrees. To protect the existing resources of the urban forest, it is necessary to conduct evaluation of ecological sensitivity. Based on the investigations of the geological environment and experimental data of this forest belt, we choose seven kinds of ecological sensitivity factors, i.e. stratigraphic lithology, geological structure, elevation, gradient, slope direction, the surface water and human activities. We employ GIS technology to make area division of the forest belt for each single factor. Using analytic hierarchy process (AHP) and spatial weighting methods, then we conduct a comprehensive division of ecological sensitivity to the entire forest belt. The results show that insensitive area accounts for 4.82% of the whole forest area, distributed in the northern part of study area. The slightly sensitive area accounts for 18.01%, distributed in the south, northeast and southeast. Medium sensitivity areas (42.91%) are distributed in the east, west and northeast. Highly sensitive areas occupy 29.61%, distributed in the northern region. Extremely sensitive areas account for 4.65% scattered in the forest belt. Aiming at the main ecological environment problems in every sensitive area, we propose the management and protection countermeasures which can provide a scientific basis to prevent and govern the forest ecological environment problems. At the same time, this research is also a scientific guidance for the ecological planning and construction of Guiyang in the future.

     

  • loading
  • [1]
    欧阳志云,王效科,苗鸿.中国生态环境敏感性及其区域差异规律研究[J].生态学报,2000,20(1):9-12.
    [2]
    潘竞虎,董晓峰.基于GIS的黑河流域生态环境敏感性评价与分区[J].自然资源学报,2006,21(2):267-273.
    [3]
    Rodriguez EVila L. Ecological sensitivity atlas of the Argentine continental shelf[J]. International Hydrographic Review,1992, 69(2):47-53 .
    [4]
    Bydekerke L, Ranst E V, Vanm E L, et al .Land suitability assessment for cherimoya in southern Ecuador using expert knowledge and GIS[J]. Agriculture Ecosystems &Environment, 2001, 86 (2):163-172.
    [5]
    闵婕.基于GIS技术与AHP研究生态环境敏感度分区[J].重庆师范大学学报,2006,12:76-80.
    [6]
    尹海伟,徐建刚,陈昌勇,等.基于GIS的吴江东部地区生态敏感性分析[J].地理科学,2006,26(1):64-69.
    [7]
    Pritchard H W,Moat J F ,Ferraz J B S ,et al. Innovative approaches to the preservation of forest trees [J]. Forest Ecology and Management, 2014, 333:88-98.
    [8]
    Matthew J,Castleberry S B ,et al. Estimating density of a forest-dwelling bat: a predictive modelfor Rafinesque’s big-eared bat [J]. Population Ecology, 2013, 55:205-215.
    [9]
    He Y H ,Franklin S E ,Guo X L,et al. Object-oriented classification of multi-resolution images for the extraction of narrow linearforest disturbance[J].Remote Sensing Letters,2011,2(2):147-155.
    [10]
    Zhang Y L,Barten P K.Watershed forest management information system (WFMIS)[J].Environmental Modelling&Software,2009,24:569-575.
    [11]
    苏旺德,史正涛,刘钢.基于RS和GIS的南汀河流域石漠化评价[J].中国岩溶,2015,34(6):576-873.
    [12]
    刘伟,康安成.森林资源调查规划中ARCGIS 应用方法探讨[J].山东林业科技,2008,4:51-52.
    [13]
    陈圣子,周忠发,闫利会.基于网格GIS的喀斯特石漠化治理过程中生态系统健康变化诊断:以贵州花江示范区为例[J].中国岩溶,2015,34(3):266-273.
    [14]
    苏盛刚.谈ArcGIS拓扑及其在森林资源数据库建设中的应用[J].林业勘查设计, 2010,3:101-102.
    [15]
    王乾,张德门.贵阳市环城林带建设保护与城市生态可持续发展探讨[J].贵州林业科技,2011,3(39):55-56.
    [16]
    李志鹏.贵阳市第二环城林带森林资源评价[J].贵州林业科技,2012,40(3):28-40.
    [17]
    李明琴,邓旭升,邓明辉,等.贵阳市环城林带的形成与岩(土)层关系的研究[J].贵州地质,2013,30(2):147-152.
    [18]
    孙自壮.贵阳市环城林带研究[J].安徽农业科学,2012,40(26):13046-13048.
    [19]
    刘爱军,余金勇.贵阳市环城林带松材线虫病预防对策初探[J].贵州林业科技,2008,36(2):46-48.
    [20]
    胡方彩.贵阳市花溪区天然林保护工程效益评价[D].贵阳:贵州大学,2009:16-39.
    [21]
    王明章,王尚彦,等.贵州岩溶石山生态地质环境研究[M].北京: 地质出版社,2005.
    [22]
    刘照程.基于GIS的城市生态公园生态敏感性评价与生态功能区划研究[D].长沙:中南林业科技大学,2011:26-27.
    [23]
    吴金华,李纪伟,朱鸿儒.基于 ArcGIS 区统计的延安市土地生态敏感性评价[J].自然资源学报,2011,26(7):1182-1183.
    [24]
    艾乔.基于GIS的风景区生态敏感性分析评价研究[D].重庆:西南大学,2007:19-20.
    [25]
    曹建军,刘永娟.GIS支持下上海城市生态敏感性分析[J].应用生态学报,2010,21(7):1805-1812.
    [26]
    沈刚.生态城市规划中的生态敏感性分析和生态适宜度评价研究:以浙江省安吉县生态城市规划为例[D].杭州:浙江大学,2004:35-40.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (2027) PDF downloads(1030) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return