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基于SolVES模型与游客偏好的生态系统服务社会价值评估——以太白山国家森林公园为例

高艳,刘康*,马桥,李影,范亚宁,李秀清,古超   

  1. (西北大学城市与环境学院, 西安 710127)
  • 出版日期:2017-12-10 发布日期:2017-12-10

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

摘要: 生态系统服务社会价值在自然生态系统中占有举足轻重的地位,传统的生态系统服务价值评估多以经济价值评估为主,对社会价值评估较为罕见。本文以太白山国家森林公园为研究对象,基于SolVES模型对其美学、生物多样性、生命可持续、精神等10种社会价值进行空间异质性分析。结果表明:1)公园的热点区域集中于研究区内中、高山区,以大爷海和拔仙台最为密集;2)游客偏好程度较高的美学、生物多样性、生命可持续和精神价值较高点主要集聚在高山区,其社会价值指数与地理环境条件之间的关系与各社会价值类型较高点的空间分布相关联;3)男女游客对社会价值空间分布评估结果与社会价值总体评估结果相一致,但在研究区内海拔低于3500 m的区域有细微差异。SolVES模型在评估山地森林公园生态系统服务社会价值方面具有良好效果,其可信度较高,应用前景广阔。

关键词: 遥感, 分类, C5.0决策树, 决策树

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