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Simulation of Regionally Ecological Land Based on a Cellular Automation Model: A Case Study of Beijing, China

Author

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  • Hualin Xie

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Chih-Chun Kung

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Yanting Zhang

    (Institute of Poyang Lake Eco-economics, Jiangxi University of Finance and Economics, Nanchang 330013, China)

  • Xiubin Li

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

Abstract

Ecological land is like the “liver” of a city and is very useful to public health. Ecological land change is a spatially dynamic non-linear process under the interaction between natural and anthropogenic factors at different scales. In this study, by setting up natural development scenario, object orientation scenario and ecosystem priority scenario, a Cellular Automation (CA) model has been established to simulate the evolution pattern of ecological land in Beijing in the year 2020. Under the natural development scenario, most of ecological land will be replaced by construction land and crop land. But under the scenarios of object orientation and ecosystem priority, the ecological land area will increase, especially under the scenario of ecosystem priority. When considering the factors such as total area of ecological land, loss of key ecological land and spatial patterns of land use, the scenarios from priority to inferiority are ecosystem priority, object orientation and natural development, so future land management policies in Beijing should be focused on conversion of cropland to forest, wetland protection and prohibition of exploitation of natural protection zones, water source areas and forest parks to maintain the safety of the regional ecosystem.

Suggested Citation

  • Hualin Xie & Chih-Chun Kung & Yanting Zhang & Xiubin Li, 2012. "Simulation of Regionally Ecological Land Based on a Cellular Automation Model: A Case Study of Beijing, China," IJERPH, MDPI, vol. 9(8), pages 1-16, August.
  • Handle: RePEc:gam:jijerp:v:9:y:2012:i:8:p:2986-3001:d:19527
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    References listed on IDEAS

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    1. Mathey, Anne-Hélène & Krcmar, Emina & Dragicevic, Suzana & Vertinsky, Ilan, 2008. "An object-oriented cellular automata model for forest planning problems," Ecological Modelling, Elsevier, vol. 212(3), pages 359-371.
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    Cited by:

    1. Hualin Xie & Peng Wang & Hongsheng Huang, 2013. "Ecological Risk Assessment of Land Use Change in the Poyang Lake Eco-economic Zone, China," IJERPH, MDPI, vol. 10(1), pages 1-19, January.
    2. Hualin Xie & Guanrong Yao & Peng Wang, 2014. "Identifying Regional Key Eco-Space to Maintain Ecological Security Using GIS," IJERPH, MDPI, vol. 11(3), pages 1-19, February.
    3. Linyu Xu & Hao Yin & Zhaoxue Li & Shun Li, 2014. "Land Ecological Security Evaluation of Guangzhou, China," IJERPH, MDPI, vol. 11(10), pages 1-22, October.
    4. Hualin Xie & Zhifei Liu & Peng Wang & Guiying Liu & Fucai Lu, 2013. "Exploring the Mechanisms of Ecological Land Change Based on the Spatial Autoregressive Model: A Case Study of the Poyang Lake Eco-Economic Zone, China," IJERPH, MDPI, vol. 11(1), pages 1-17, December.

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