• DocumentCode
    2517932
  • Title

    Regional Eco-Risk Analysis Based on Landscape Structure and Spatial Statistics

  • Author

    Hualin Xie

  • Author_Institution
    Coll. of Resource & Environ. Manage., Jiangxi Univ. of Finance & Econ., Nanchang, China
  • fYear
    2009
  • fDate
    11-13 June 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper describes a case study of eco-risk appraisal in the Xingguo County, an red soil hill region in Jiangxi province. The appraisal was conducted based on landscape disturbance index and landscape fragility. Spatial distribution and gradient differentiation characteristics of the eco-risks in the study area were analyzed by means of spatial statistics like spatial autocorrelation and sub- analysis of variance. Conclusions from the study are as follows: eco-risk degree was positive correlation, and a decreasing trend exits with the increase of grain size of landscape patches. Eco-environment quality mounted up to a small extent while and the area with high eco-risk lessened in the period from 1994 to 2005 in Xingguo County. Eco-risk degree in the east-middle lump of sand and its peripheral regions were high. The step length of the eco-risk index´s spatial differentiation is quite short, 43km in 1994 and 9.3km in 2005.
  • Keywords
    ecology; geophysical techniques; soil; statistical analysis; eco-environment quality; gradient differentiation; grain size; landscape disturbance index; landscape fragility; regional eco-risk analysis; spatial autocorrelation; subanalysis of variance; Appraisal; Autocorrelation; Ecosystems; Environmental economics; Humans; Pattern analysis; Soil; Statistical analysis; Statistical distributions; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2901-1
  • Electronic_ISBN
    978-1-4244-2902-8
  • Type

    conf

  • DOI
    10.1109/ICBBE.2009.5163293
  • Filename
    5163293