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The integrated eco-environment assessment of the red soil hilly region based on GIS—A case study in Changsha City, China

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  • Li, Zhong-Wu
  • Zeng, Guang-Ming
  • Zhang, Hua
  • Yang, Bin
  • Jiao, Sheng

Abstract

The development of remote sensing (RS) and geographic information system (GIS) provides an effective means for studies of regional eco-environmental changes. Aiming at the red soil hilly region with an extremely vulnerable ecosystem, supported by GIS, this study established the environmental information system database for red soil hilly region, and evaluated the eco-environment quality in a typical area of this region—Changsha City. Based on the database, the study integrated Delphi, AHP and Integrated Eco-environment Assessment Index Method into the eco-environmental quality assessment in the study area. The results showed that only 7% of the total land area in Changsha (approximately 827.64km2) is maintaining a higher or the highest grade of the eco-environmental quality. However, 52.4% of the total area (approximately 6187.14km2) is of a worse or the worst grade of the eco-environmental quality. It was concluded that the entire eco-environmental quality of Changsha City has degraded rapidly due to the highly intense human activities in recent years.

Suggested Citation

  • Li, Zhong-Wu & Zeng, Guang-Ming & Zhang, Hua & Yang, Bin & Jiao, Sheng, 2007. "The integrated eco-environment assessment of the red soil hilly region based on GIS—A case study in Changsha City, China," Ecological Modelling, Elsevier, vol. 202(3), pages 540-546.
    • Handle: RePEc:eee:ecomod:v:202:y:2007:i:3:p:540-546
    DOI: 10.1016/j.ecolmodel.2006.11.014
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    References listed on IDEAS

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    5. Guifang Yang & Zhenghong Chen, 2015. "RS-based fuzzy multiattribute assessment of eco-environmental vulnerability in the source area of the Lishui River of northwest Hunan Province, China," 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. 78(2), pages 1145-1161, September.
    6. Ying, Xiong & Zeng, Guang-Ming & Chen, Gui-Qiu & Tang, Lin & Wang, Ke-Lin & Huang, Dao-You, 2007. "Combining AHP with GIS in synthetic evaluation of eco-environment quality—A case study of Hunan Province, China," Ecological Modelling, Elsevier, vol. 209(2), pages 97-109.
    7. Runhong Liu & Yuanfang Pan & Han Bao & Shichu Liang & Yong Jiang & Hongrun Tu & Juanli Nong & Wanqing Huang, 2020. "Variations in Soil Physico-Chemical Properties along Slope Position Gradient in Secondary Vegetation of the Hilly Region, Guilin, Southwest China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    8. Wenyan Pan & Muhammad Awais Gulzar & Waseem Hassan, 2020. "Synthetic Evaluation of China’s Regional Low-Carbon Economy Challenges by Driver-Pressure-State-Impact-Response Model," IJERPH, MDPI, vol. 17(15), pages 1-24, July.
    9. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    10. Suresh Chaudhary & Yukuan Wang & Amod Mani Dixit & Narendra Raj Khanal & Pei Xu & Kun Yan & Qin Liu & Yafeng Lu & Ming Li, 2019. "Eco-Environmental Risk Evaluation for Land Use Planning in Areas of Potential Farmland Abandonment in the High Mountains of Nepal Himalayas," Sustainability, MDPI, vol. 11(24), pages 1-20, December.
    11. Li, Lu & Shi, Zhi-Hua & Yin, Wei & Zhu, Dun & Ng, Sai Leung & Cai, Chong-Fa & Lei, A-Lin, 2009. "A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the danjiangkou reservoir area, China," Ecological Modelling, Elsevier, vol. 220(23), pages 3439-3447.

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