Journal of Mountain Science

, Volume 10, Issue 3, pp 398–409 | Cite as

The development of a geographic information system (GIS) database for Jiuzhaigou national nature reserve and its application

  • Bao-feng Di
  • Kai-shan ZhangEmail author
  • Ya Tang
  • Ming-hua Zhang
  • Susan L. Ustin


The objective of this paper is to develop a GIS (Geographic Information System) database for Jiuzhaigou National Nature Reserve (Jiuzhaigou, hereafter) in China and demonstrate its application as a research tool. A cost-effective procedure was developed to compile a variety of geographical and biological data of the study area in terms of popular GIS format such as shape files. These files were further calibrated and validated using field surveys data. The developed GIS database was used to quantify the distributions of the wildlife (amphibians, mammals, and birds) using the distances of the wildlife to the centerline of the bus-tour routes. The Pearson correlation coefficient was used to quantify the correlation in space between pairs of different wildlife using the number of habitats for given space contexts. An ArcObject-based macro was developed to perform the analysis. The results showed the majority of the habitats of wildlife are located in the proximity of the tour-bus routes with an average distance ranging from 564 to 894 m depending on types of wildlife. This indicates a possibility of the disturbance to the wildlife by human activities. The correlation coefficient of the wildlife ranged from 0.36 to 0.64 depending on pairs of wildlife, indicating some correlations in space. However, due to the limited sample size, the statistical significances need to be further investigated. This paper has successfully demonstrated the use of the GIS-based database as a research tool for environmental study.


Geographic Information System (GIS) Database Remote sensing Wildlife Correlation Coefficient Jiuzhaigou 


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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Bao-feng Di
    • 1
  • Kai-shan Zhang
    • 1
    Email author
  • Ya Tang
    • 1
  • Ming-hua Zhang
    • 2
  • Susan L. Ustin
    • 2
  1. 1.Department of Environmental Science and EngineeringSichuan UniversityChengduChina
  2. 2.Department of Land, Air, and Water ResourcesUniversity of California DavisDavisUSA

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