欢迎访问《生态学杂志》官方网站,今天是 分享到:

生态学杂志

• 综述与专论 • 上一篇    下一篇

生态系统服务价值评估方法综述

李丽1,2,3,王心源1,3*,骆磊1,2,3,冀欣阳1,2,3,赵燕1,2,3,赵颜创1,2,3,Nabil Bachagha1,2,3   

  1. (1中国科学院遥感与数字地球研究所, 数字地球重点实验室, 北京 100094;2中国科学院大学, 北京 100049;3国际自然与文化遗产空间技术中心, 北京 100094)
  • 出版日期:2018-04-10 发布日期:2018-04-10

A systematic review on the methods of ecosystem services value assessment.

LI Li1,2,3, WANG Xin-yuan1,3*, LUO Lei1,2,3, JI Xin-yang1,2,3, ZHAO Yan1,2,3, ZHAO Yan-chuang1,2,3, Nabil Bachagha1,2,3   

  1. (1Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 2University of Chinese Academy of Sciences, Beijing 100049, China; 3International Centre on Space Technologies for Natural and Cultural Heritage, Beijing 100094, China).
  • Online:2018-04-10 Published:2018-04-10

摘要: 基于相关科学研究文献,首先对生态系统服务价值评估的国内外研究现状进行追踪与分析;其次,从评估过程的角度,将生态系统服务价值评估方法分为两类:直接评估法和间接评估法,同时进一步对这两类方法进行了分类,并对分类后的评估方法在概念内涵、计算方法等方面进行了总结;最后,文章讨论了目前价值评估方面存在的问题,对生态系统服务价值的评估理论、评估方法及评估结果表现形式进行了总结,并对其未来发展方向提出了建议:加强不同生态系统服务价值评估方法的对比验证及综合应用研究,加强植被覆盖较少或无植被覆盖地区的生态系统服务价值评估研究,加强复合生态系统和精细尺度的生态系统服务价值评估研究。

关键词: 温带阔叶红松林, 气温, 长白山, 小气候, 相对湿度, 土壤温度

Abstract: The status of researches in ecosystem services value assessment (ESVA) wasreviewed. The methods of ESVA could be classified into two categories from the aspect of evaluation process: direct and indirect, which are further classified into several subcategories. After analyzing the concept connotation, calculation, and application of each classified method, we put forward ten problems in ESVA. Finally, by summarizing the theory, methodology, and resultsexpression form of ESVA, we proposed three suggestions to strengthen the future research ofESVA:  comparative and comprehensive application of different methods for the assessment ofecosystem services value;  ecosystem services value assessment of the areas with sparse or novegetation;  the assessment of service value of complex ecosystems and the evaluation of ESVA at fine scale.

Key words: Changbai Mountain, soil temperature, broadleaved Korean pine forest, temperature, relative humidity, microclimate.