Ecological Sensitivity Evaluation and Explanatory Power Analysis of the Giant Panda National Park in China

Abstract

The Giant Panda National Park (GPNP) is one of the first national parks established in China, and the consideration of its ecological sensitivity is an important part of the construction of ecological civilization. Taking GPNP as a case, the ecological sensitivity evaluation model of the national park was constructed on the basis of the sensitivity evaluation results of regional terrain, climate, vegetation, animal trace, landscape resource, water resource and human activity. The CRiteria Importance Through Intercriteria Correlation (CRITIC) method was introduced to obtain the comprehensive spatial distribution characteristics of ecological sensitivity, and the spatial autocorrelation analysis and explanatory factor analysis were carried out in order to provide specific suggestions for the ecological development and protection of the national park. The results showed that the ecological sensitivity gradually increases from the regional edge to the center, and the area is 12.36%, 28.24%, 31.94%, 21.56%, and 4.76%, respectively. The Moran's I of ecological sensitivity is 0.914, showing a high spatial autocorrelation in the region. The sensitive cold spots are distributed in the north, and the hot spots are distributed in the middle and south. In the case of ecological governance, priority can be given to these high value cluster areas. Human activities are the main explanatory factors for ecological sensitivity, and the sensitivity of a certain region can be influenced by positive human behavior. The interaction of most factors in pairs will enhance the explanatory power of a single factor on ecological sensitivity, which means that multiple methods of ecological protection will achieve better results. The research results of this paper provide a scientific basis for guiding the management and protection of ecologically sensitive zones in the study area.