• 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 4
Aug.  2017
Turn off MathJax
Article Contents
ZHAO Yuluan, ZHANG Ying, LI Xiubin. Evolution and spatial variation of land use conflict intensity in Qian-Gui karst mountainous areas[J]. CARSOLOGICA SINICA, 2017, 36(4): 492-500. doi: 10.11932/karst20170410
Citation: ZHAO Yuluan, ZHANG Ying, LI Xiubin. Evolution and spatial variation of land use conflict intensity in Qian-Gui karst mountainous areas[J]. CARSOLOGICA SINICA, 2017, 36(4): 492-500. doi: 10.11932/karst20170410

Evolution and spatial variation of land use conflict intensity in Qian-Gui karst mountainous areas

doi: 10.11932/karst20170410
  • Publish Date: 2017-08-25
  • In this paper, we both use land conflict model based on PSR (Press-State-Response) to assess the evolution of land use conflict intensity and explore the change of spatial differences of land use conflict intensity at a county level and use ESDA (Exploratory Spatial Data Analysis) method for the years from 1990 to 2010 in Qian-Gui karst mountainous areas. As the results,(1) From 1990 to 2010, the phenomenon of land use conflict had increased in Qian-Gui karst mountainous areas because LUCI(Land Use Conflict Index)rose from 0.09 to 0.30;(2) In the study region, the global spatial autocorrelation of land use conflict had a significant agglomeration characteristic which appeared an enhanced trend. In addition, the global Moran’s I of the Press Index, the Response Index and LUCI were respectively 0.3179, 0.4733 and 0.1859 in phase III. Particularly, the global Moran’s I in phase II was greater than that of phase I;(3) In terms of local spatial autocorrelation, it is noted that the hotspots and sub-hotspots tended to agglomerate into city clusters which is located in Guiyang, Central Guizhou Province and Nanning City, Guangxi Zhuang Autonomous Region and its surrounding areas. However, cold spots and sub-cold spots collectively distributed in remote Qian-Gui karst peak-cluster depression areas and their surrounding districts.From the results, it is necessary to optimize the land use structure and alleviate the land use conflict, in order to improve the level of sustainable utilization of land resources.

     

  • loading
  • [1]
    李秀彬.土地利用变化的解释[J]. 地理科学进展, 2002, 21(3):195-203.
    [2]
    张惠远, 赵昕奕, 蔡运龙,等. 喀斯特山区土地利用变化的人类驱动机制研究:以贵州省为例[J]. 地理研究, 1999, 18(2):136-142.
    [3]
    谈明洪, 李秀彬, 吕昌河. 我国城市用地扩张的驱动力分析[J]. 经济地理, 2003, 23(5):635-639.
    [4]
    李阳兵, 罗光杰, 邵景安,等. 岩溶山地聚落人口空间分布与演化模式[J]. 地理学报, 2012, 67(12):1666-1674.
    [5]
    于伯华, 吕昌河. 土地利用冲突分析:概念与方法[J]. 地理科学进展, 2006, 25(3):106-115.
    [6]
    杨永芳, 朱连奇. 土地利用冲突的理论与诊断方法[J]. 资源科学, 2012, 34(6):1134-1141.
    [7]
    周德, 徐建春, 王莉. 近15年来中国土地利用冲突研究进展与展望[J]. 中国土地科学, 2015, 29(2):21-29.
    [8]
    马学广, 王爱民, 闫小培. 城市空间重构进程中的土地利用冲突研究:以广州市为例[J]. 人文地理, 2010,25(3):72-77.
    [9]
    王秋兵, 郑刘平, 边振兴,等. 沈北新区潜在土地利用冲突识别及其应用[J]. 农业工程学报, 2012, 28(15):185-192.
    [10]
    周德, 徐建春, 王莉. 环杭州湾城市群土地利用的空间冲突与复杂性[J]. 地理研究, 2015, 34(9):1630-1642.
    [11]
    刘巧芹, 赵华甫, 吴克宁,等. 基于用地竞争力的潜在土地利用冲突识别研究:以北京大兴区为例[J]. 资源科学, 2014, 36(8):1579-1589.
    [12]
    储胜金, 许刚. 浙北山区土地利用与生态保护的冲突与协调机制研究:以天目山自然保护区为例[J]. 长江流域资源与环境, 2004, 13(1):24-29.
    [13]
    王爱民, 马学广, 闫小培. 基于行动者网络的土地利用冲突及其治理机制研究:以广州市海珠区果林保护区为例[J]. 地理科学, 2010, 30(1):80-85.
    [14]
    肖华斌, 袁奇峰, 宋凤. 城市风景区土地利用冲突演变过程及形成机制研究:以西樵山风景名胜区为例[J]. 中国园林,2013(10):117-120.
    [15]
    卢耀如. 中国喀斯特地貌的演化模式[J]. 地理研究, 1986, 5(4):25-35.
    [16]
    高贵龙,邓自民,熊康宁,等. 喀斯特的呼唤与希望[M]. 贵阳: 贵州科技出版社, 2003.
    [17]
    王世杰. 喀斯特石漠化概念演绎及其科学内涵的探讨[J]. 中国岩溶, 2002, 21(2):101-105.
    [18]
    苏维词, 周济祚. 贵州喀斯特山地的“石漠化”及防治对策[J]. 长江流域资源与环境, 1995,4(2):177-182.
    [19]
    杨永芳,安乾,朱连奇. 基于PSR模型的农区土地利用冲突强度的诊断[J]. 地理科学进展, 2012, 31(11): 1552-1560.
    [20]
    周炳中, 杨浩, 包浩生, 等. PSR模型及在土地可持续利用评价中的应用[J]. 自然资源学报, 2002, 17(5): 541-548.
    [21]
    姚予龙. 基于PSR模型的我国资源安全演化轨迹模拟与成因分析[J]. 中国农业资源与区划, 2010, 31(6): 37-43.
    [22]
    庄大方,刘纪远.中国土地利用程度的区域分异模型研究[J]. 自然资源学报,1997,12(2):105-111.
    [23]
    Zhao Y, Li X. Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China[J]. Sustainability, 2016, 8(9):849.
    [24]
    王铮,吴静. 计算地理学[M]. 北京: 科学出版社, 2011.
    [25]
    Cressie N, Kang E L. Hot Enough for You? A Spatial Exploratory and Inferential Analysis of North American ClimateChange Projections[J]. Mathematical Geosciences, 2016, 48(2):107-121.
    [26]
    张松林,张昆. 局部空间自相关指标对比研究[J]. 统计研究,2007,24(7) :65-67.
    [27]
    李秀彬, 赵宇鸾. 森林转型、农地边际化与生态恢复[J]. 中国人口·资源与环境, 2011, 21(10): 91-95.
  • 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 (1541) PDF downloads(960) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return