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Assessment of social value of ecosystem services based on SolVES model and visitor’s preference: A case study of Taibai Mountain National Forest Park.

GAO Yan, LIU Kang*, MA Qiao, LI Ying, FAN Ya-ning, LI Xiu-qing, GU Chao   

  1. (College of Urban and Environmental Science, Northwest University, Xi’an 710127, China).
  • Online:2017-12-10 Published:2017-12-10

Abstract:

The social value of ecosystem services plays a significant role in natural ecosystems. The traditional ecosystem service values evaluation is mainly based on the economic value evaluation, while the social value assessment is rare. In this paper, we selected Taibai Mountain National Forest Park as the study area and analyzed the spatial heterogeneity of 10 social values based on the Social Value for Ecosystem Services (SolVES), such as aesthetic, biodiversity, life sustaining, spirit, etc. The results showed that: (1) The “hotspots” of Taibai Mountain National Forest Park were concentrated in middle and alpine areas, where the Dayehai and Baxiantai were the most intensive; (2) The higher aesthetic, biodiversity, life sustaining and spiritual values based on the high degree of preference for tourists were primarily distributed in the alpine area, and the relationship between the value index of each social value type and the geo-environmental condition was significantly correlated with the spatial distribution of the higher social value; (3) The results of spatial distribution assessment of social values in terms of male and female tourists were consistent with the overall assessment of social values; however, there were slight differences in the area at an elevation of below 3500 m in the study area. The SolVES model had a good performance in evaluating the social value of mountain forest park ecosystem services, with high reliability and wide application prospect.
 

Key words: remote sensing, classification, C5.0 decision tree., decision tree