Journal of Resources and Ecology ›› 2010, Vol. 1 ›› Issue (4): 339-.DOI: 10.3969/j.issn.1674-764x.2010.04.006

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A Graph-theoretic Analysis of Stressors Confronting Giant Panda Habitat across Minshan Mountain Region, China

XIAO Yi1, OUYANG Zhiyun1*, ZHAO Jingzhu1 , HUANG Baorong1 and ZHU Chunquan2   

  1. 1 State Key Lab of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, CAS, Beijing 100085, China;
    2 World Wild Fund for Nature, Beijing 100000, China
  • Received:2010-11-08 Revised:2010-12-08 Online:2010-12-30 Published:2010-12-30
  • Contact: OUYANG Zhiyun

Abstract: The Minshan mountain region of China is a focal point for giant panda conservation. Here, we use graph-theoretic methods and social-economic-natural complex ecosystem theory to analyze and assess giant panda habitat stressors and their interactions. We selected twelve stressors spanning tourism, agriculture, mining, hydropower and the collection of timber, fuel wood and Chinese medicinal plants for our analysis. We found that 47% of stressor combinations directly interacted with each other, and that 89% of interactions between stressors had aggravating effects. There was a strong linkage component K={ (TD); (RB); (MI); (HPL); (AP); (AD); (SR); (TH); (FC)}, suggesting that stressors from tourism and tourist site construction, hydropower engineering, transportation, road construction, agriculture and farming, and fuel wood collection are likely to create additional impacts on giant panda habitat through interactions with other stressors. Given these findings, these eight stressors are the most significant factors threatening giant panda habitat across the Minshan Mountains. Our study demonstrates that graph-theoretic methods are useful tools in simplifying reticular interactions amongst various giant panda habitat stressors, and identifying key stressors upon which management plans can be designed.

Key words: giant panda habitat, anthropogenic stressors, graph-theoretic analysis, Minshan