资源与生态学报 ›› 2022, Vol. 13 ›› Issue (1): 68-79.DOI: 10.5814/j.issn.1674-764x.2022.01.008

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生态系统服务变化的驱动机制研究进展

张彪1,2,*(), 史芸婷1,2, 王爽1,2   

  1. 1.中国科学院地理科学与资源研究所,北京 100101
    2.中国科学院大学资源与环境学院,北京 100049
  • 收稿日期:2021-07-30 接受日期:2021-10-10 出版日期:2022-01-30 发布日期:2022-01-08
  • 通讯作者: 张彪

A Review on the Driving Mechanisms of Ecosystem Services Change

ZHANG Biao1,2,*(), SHI Yunting1,2, WANG Shuang1,2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Science, Beijing 100101, China
    2. College of Resources and Environment, University of the Chinese Academy of Sciences, Beijing 100049, China
  • Received:2021-07-30 Accepted:2021-10-10 Online:2022-01-30 Published:2022-01-08
  • Contact: ZHANG Biao
  • Supported by:
    The National Key Research and Development Program of China(2016YFC0503403)

摘要:

近年来,全球及区域生态系统服务均呈现出快速变化趋势,分析研究生态系统服务变化的驱动机制有助于精准模拟未来生态系统服务情景,进而服务于生态系统管理决策的科学制定。虽然已有部分研究探讨了土地利用或气候变化对生态系统服务的影响,但生态系统服务变化的驱动机理与应对策略亟待全面揭示。为此,该文回顾总结了国内外关于生态系统服务变化驱动机制的研究成果,并分析归纳了生态系统服务变化的主要驱动因子与未来模拟技术,结果发现:(1)土地利用与气候变化是造成生态系统服务变化的主要因素,且相互作用共同驱动生态系统服务的变化;(2)生态系统服务变化的单影响因子识别取得较大进展,但多种影响因子的交互作用及其在生态服务变化中贡献亟需清晰分解;(3)基于遥感与气候模型的多情景模拟是预测未来生态系统服务变化的主要手段,但需要科学模拟多因素交互作用下的综合影响及其应对途径;(4)未来研究应加强人类活动对生态系统服务影响的分解与模拟,研发区域生态系统服务对重大生态工程的时空响应与探测技术,以科学指导区域生态保护建设与规划布局。

关键词: 生态系统服务, 土地利用, 气候变化, 因子分解, 未来模拟

Abstract:

Ecosystem services have rapidly changed at the global and regional scales in recent years. Exploring the driving mechanisms of ecosystem services change and projecting future change are of increasing importance to inform policy and decision-making options for ecosystem conservation and sustainable use. Although some research has analyzed the influences of land use or climate changes on ecosystem services, a systematic review on the mechanisms of ecosystem services change has not been carried out so far. This work elaborated on the mechanisms of ecosystem services change based on a literature review, and reached four main conclusions. (1) Climate change and land use jointly determine the ecosystem services change through complex and interacting pathways. (2) Whereas the present research progresses mainly focus on the identification of a single influencing factor, they fail in the determination of multiple influencing factors. (3) Although multi-scenario simulations based on remote sensing and climate models are the main means used to predict future changes in ecosystem services, clarifying the interactive mechanisms of multiple factors is the precondition for future projection of ecosystem services change; (4) Therefore, future research should strengthen the analysis and simulation of the effects of human activities on ecosystem services, especially the development of technology to detect the dynamic responses of ecosystem services to major ecological projects, which is crucial to the selection of restoration measures and the regional arrangement of ecosystem conservation projects.

Key words: ecosystem services, land use, climatic change, impact factor identification, future projection