IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i9p849-d76895.html
   My bibliography  Save this article

Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China

Author

Listed:
  • Yuluan Zhao

    (School of Geographic and Environmental Sciences, Guizhou Normal University, Guiyang 550001, China
    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Xiubin Li

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

A scientific definition of the type of mountain area and an exploration of the spatial correlation between different types of mountain areas and regional land use at the county level are important for reasonable land resource utilization and regional sustainable development. Here, a geographic information system was used to analyze digital elevation model data and to define the extent of mountainous land and types of mountain areas in Guizhou province. Exploratory spatial data analysis was used to study the spatial coupling relation between the type of mountain area and land use degree in Guizhou province at the county level. The results were as follows: (1) Guizhou province has a high proportion of mountainous land, with a ratio of mountainous land to non-mountainous land of 88:11. The county-level administrative units in Guizhou province were exclusively mountainous, consisting of eight semi mountainous counties, nine quasi mountainous counties, 35 apparently mountainous counties, 13 type I completely mountainous counties, and 23 type II completely mountainous counties; (2) The land use degree at the county level in Guizhou province have remarkable spatial differentiation characteristics. Counties with a high cultivation coefficient are mainly located in the western area along the line between Yinjiang county and Anlong county in west Guizhou province. Counties with a large proportion of construction land or a high integrated index of land use degree are mainly distributed in the economically developed area of central Guizhou province, including parts of the counties (districts/cities) administrated by Guiyang, Zunyi, Liupanshui, Anshun, Duyun, and Kaili; (3) County-level administrative units with relatively flat topography and a low proportion of mountainous land have a large proportion of construction land and a large degree of regional land exploitation. However, the extent of cultivation of county-level administrative units under similar topography differs considerably; (4) The increase in urban land intensity and the decrease in cultivated land intensity are distinctive features of land system change in mountain areas, which is conducive to the sustainable development of mountain.

Suggested Citation

  • Yuluan Zhao & Xiubin Li, 2016. "Spatial Correlation between Type of Mountain Area and Land Use Degree in Guizhou Province, China," Sustainability, MDPI, vol. 8(9), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:849-:d:76895
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/9/849/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/9/849/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dan Ma & Xiexing Miao & Haibo Bai & Jihui Huang & Hai Pu & Yu Wu & Guimin Zhang & Jiawei Li, 2016. "Effect of mining on shear sidewall groundwater inrush hazard caused by seepage instability of the penetrated karst collapse pillar," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 82(1), pages 73-93, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mansour, Shawky & Al-Belushi, Mohammed & Al-Awadhi, Talal, 2020. "Monitoring land use and land cover changes in the mountainous cities of Oman using GIS and CA-Markov modelling techniques," Land Use Policy, Elsevier, vol. 91(C).
    2. Yunfeng Hu & Batu Nacun, 2018. "An Analysis of Land-Use Change and Grassland Degradation from a Policy Perspective in Inner Mongolia, China, 1990–2015," Sustainability, MDPI, vol. 10(11), pages 1-22, November.
    3. Zhiyin Wang & Jiansheng Cao, 2021. "Assessing and Predicting the Impact of Multi-Scenario Land Use Changes on the Ecosystem Service Value: A Case Study in the Upstream of Xiong’an New Area, China," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    4. Honglei Jiang & Xia Xu & Mengxi Guan & Lingfei Wang & Yongmei Huang & Yinghui Liu, 2019. "Simulation of Spatiotemporal Land Use Changes for Integrated Model of Socioeconomic and Ecological Processes in China," Sustainability, MDPI, vol. 11(13), pages 1-18, July.
    5. Yu Ding & Jian Peng, 2018. "Impacts of Urbanization of Mountainous Areas on Resources and Environment: Based on Ecological Footprint Model," Sustainability, MDPI, vol. 10(3), pages 1-15, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang Yu & Shen-En Chen & Ka-Zhong Deng & Peng Wang & Hong-Dong Fan, 2018. "Subsidence Mechanism and Stability Assessment Methods for Partial Extraction Mines for Sustainable Development of Mining Cities—A Review," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    2. Shuokang Wang & Liqiang Ma, 2019. "Characteristics and Control of Mining Induced Fractures above Longwall Mines Using Backfilling," Energies, MDPI, vol. 12(23), pages 1-24, December.
    3. Siddhartha Roy & Devi Prasad Mishra & Ram Madhab Bhattacharjee & Hemant Agrawal, 2022. "Genetic programming for prediction of heat stress hazard in underground coal mine environment," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2527-2543, December.
    4. Hao Li & Haibo Bai & Jianjun Wu & Zhanguo Ma & Kai Ma & Guangming Wu & Yabo Du & Shixin He, 2017. "A Cascade Disaster Caused by Geological and Coupled Hydro-Mechanical Factors—Water Inrush Mechanism from Karst Collapse Column under Confining Pressure," Energies, MDPI, vol. 10(12), pages 1-19, November.
    5. Dan Ma & Zilong Zhou & Jiangyu Wu & Qiang Li & Haibo Bai, 2017. "Grain Size Distribution Effect on the Hydraulic Properties of Disintegrated Coal Mixtures," Energies, MDPI, vol. 10(5), pages 1-17, April.
    6. Qiang Sun & Jixiong Zhang & Qiang Zhang & Wei Yin & Deon Germain, 2016. "A protective seam with nearly whole rock mining technology for controlling coal and gas outburst hazards: a case study," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(3), pages 1793-1806, December.
    7. Xiaohong Niu & Guorui Feng & Qin Liu & Yanna Han & Ruipeng Qian, 2022. "Numerical investigation on mechanism and fluid flow behavior of goaf water inrush: a case study of Dongyu coal mine," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1783-1802, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:9:p:849-:d:76895. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.