欢迎访问《应用生态学报》官方网站,今天是 分享到:

应用生态学报 ›› 2023, Vol. 35 ›› Issue (5): 1419-1425.doi: 10.13287/j.1001-9332.202405.019

• 综合评述 • 上一篇    下一篇

耦合生态系统服务的社会生态风险分析框架

杨黎敏1, 王坤鹏2, 易家林1, 郭杰1,3,4*, 欧名豪1,3,4   

  1. 1南京农业大学公共管理学院, 南京 210095;
    2河南财经政法大学资源与环境学院, 郑州 450000;
    3农村土地资源利用与整治国家地方联合工程研究中心, 南京 210095;
    4中国资源环境与发展研究院, 南京 210095
  • 收稿日期:2023-11-24 接受日期:2024-02-26 出版日期:2024-05-18 发布日期:2024-11-18
  • 通讯作者: *E-mail: guojie@njau.edu.cn
  • 作者简介:杨黎敏, 女, 1995年生, 博士研究生。主要从事人地系统与生态安全研究。E-mail: aurora_ylm@sina.com
  • 基金资助:
    国家重点研发计划重点专项(2018YFD1100103)、国家自然科学基金项目(72174089)和教育部人文社会科学基金项目(23YJC630177)

Socio-ecological risk analysis framework coupled with ecosystem services

YANG Limin1, WANG Kunpeng2, YI Jialin1, GUO Jie1,3,4*, OU Minghao1,3,4   

  1. 1College of Public Administration, Nanjing Agricultural University, Nanjing 210095, China;
    2College of Resource and Environments, Henan University of Economics and Law, Zhengzhou 450000, China;
    3State and Local Joint Engineering Research Center of Rural Land Resources Utilization and Consolidation, Nanjing 210095, China;
    4China Resources & Environment and Development Academy, Nanjing 210095, China
  • Received:2023-11-24 Accepted:2024-02-26 Online:2024-05-18 Published:2024-11-18

摘要: 人类社会与生态系统的高度耦合使得社会生态风险成为系统风险治理的主要对象。生态系统服务作为联系生态过程与人类社会活动的纽带,是解构社会生态风险的核心变量与化解社会生态风险的关键抓手。本文首先从生态系统服务视角阐明社会生态风险的内涵与生成机理,提出“客观风险-感知风险-风险行为”的风险演化逻辑。然后,基于驱动-压力-状态-影响-响应(DPSIR)模型提出社会生态风险分析框架,拓展有关社会生态系统风险研究和管理实践的内容和方法体系。最后,提出耦合生态系统服务的社会生态风险研究应当关注以下议题: 1) 生态系统过程、生态系统服务与人类福祉传导机制探索;2) 社会主体行为的响应及其对生态系统服务和人类福祉的影响机制探讨;3) 耦合生态系统服务的社会生态风险多尺度评估模型构建。耦合生态系统服务的社会生态风险分析框架基于人与自然的互馈关系探讨风险形成、演化与治理逻辑,可为明晰生态问题的深层意蕴和化解社会生态风险的路径选择提供思路。

关键词: 风险, 生态系统服务, 社会生态系统, 风险演化, 驱动-压力-状态-影响-响应(DPSIR)框架

Abstract: The strong coupling between society and ecosystem makes socio-ecological risks become the main object of risk management. As the link between ecological and social processes, ecosystem services (ESs) are the core variable in deconstructing the social-ecological risks and the crucial point in resolving the risks. We explored the concept and the internal formation mechanisms of socio-ecological risk combining ESs, and further put the cascade logic and evolution process of “real risk-risk perception-risk behavior”. Based on driver-pressure-state-impact-response framework (DPSIR), we proposed a framework for analyzing socio-ecological risk, and expanded the content and methodology system of research and management practices related to socio-ecological risks. We proposed that socio-ecological risk research coupled with ESs should focus on: 1) exploring the transmission mechanism between ecosystem processes, ecosystem services, and human well-being; 2) exploring the response mechanism of social subject behavior and its impacts on ecosystem services and human well-being; 3) construction of a multi-scale assessment model for social ecological risks coupled with ESs. The socio-ecological risk analysis framework for coupled ecosystem services was based on the mutual feedback between human and nature to explore the logic of risk formation, evolution, and governance, which could provide ideas for clarifying the deep meaning of ecological problems and selecting pathways to resolve socio-ecological risks.

Key words: risk, ecosystem service, socio-ecological system, risk evolution, driver-pressure-state-impact-response (DPISR) framework