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GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China

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  • Kang Hou

    (School of Human Settlements and Civil Engineering, Xi'an Jiao tong University, Xi'an, 710049, China)

  • Xuxiang Li

    (School of Human Settlements and Civil Engineering, Xi'an Jiao tong University, Xi'an, 710049, China)

  • Jing Zhang

    (School of Human Settlements and Civil Engineering, Xi'an Jiao tong University, Xi'an, 710049, China)

Abstract

Changes in ecological vulnerability were analyzed for Northern Shaanxi, China using a geographic information system (GIS). An evaluation model was developed using a spatial principal component analysis (SPCA) model containing land use, soil erosion, topography, climate, vegetation and social economy variables. Using this model, an ecological vulnerability index was computed for the research region. Using natural breaks classification (NBC), the evaluation results were divided into five types: potential, slight, light, medium and heavy. The results indicate that there is greater than average optimism about the conditions of the study region, and the ecological vulnerability index (EVI) of the southern eight counties is lower than that of the northern twelve counties. From 1997 to 2011, the ecological vulnerability index gradually decreased, which means that environmental security was gradually enhanced, although there are still some places that have gradually deteriorated over the past 15 years. In the study area, government and economic factors and precipitation are the main reasons for the changes in ecological vulnerability.

Suggested Citation

  • Kang Hou & Xuxiang Li & Jing Zhang, 2015. "GIS Analysis of Changes in Ecological Vulnerability Using a SPCA Model in the Loess Plateau of Northern Shaanxi, China," IJERPH, MDPI, vol. 12(4), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:12:y:2015:i:4:p:4292-4305:d:48388
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    References listed on IDEAS

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    1. Hezri, Adnan A. & Dovers, Stephen R., 2006. "Sustainability indicators, policy and governance: Issues for ecological economics," Ecological Economics, Elsevier, vol. 60(1), pages 86-99, November.
    2. Luc Anselin & Sergio J. Rey, 2010. "Perspectives on Spatial Data Analysis," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 1-20, Springer.
    3. Luc Anselin & Arthur Getis, 2010. "Spatial Statistical Analysis and Geographic Information Systems," Advances in Spatial Science, in: Luc Anselin & Sergio J. Rey (ed.), Perspectives on Spatial Data Analysis, chapter 0, pages 35-47, Springer.
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    Cited by:

    1. Chunsheng Wu & Gaohuan Liu & Chong Huang & Qingsheng Liu & Xudong Guan, 2018. "Ecological Vulnerability Assessment Based on Fuzzy Analytical Method and Analytic Hierarchy Process in Yellow River Delta," IJERPH, MDPI, vol. 15(5), pages 1-14, April.
    2. Yue Zhang & Yue Chang & Kanhua Yu & Liyuan Zhang & Xuxiang Li, 2021. "Difference Analysis of Ecological Vulnerability and Zoning Changes of National Energy and Chemical Bases Using FAHP Method," IJERPH, MDPI, vol. 18(13), pages 1-14, June.

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