社会-生态系统适应性治理研究进展与展望

社会—生态系统（SES）由社会子系统、生态子系统及两者的交互作用构成,具有不同于社会系统或生态系统单独具有的结构、功能和复杂特征。社会—生态系统适应性治理旨在通过适应性的社会权利分配与行为决策机制,使社会—生态系统能够在动态条件下可持续地保障人类福祉。适应性治理理论的形成受到“公共池塘资源管理”“韧性”和“治理”3方面理论的影响,并为“转型治理”与“协作治理”提供了建构基础。该理论具有以下3个主要目的：① 理解和应对社会—生态系统多稳态、非线性、不确定性、整体性以及复杂性;② 建立非对抗性的社会结构、权利分配制度以及行为决策体系,匹配社会子系统与自然子系统;③ 通过综合方法管理生态系统,使其可持续提供生态系统服务。因此,面对人类行为主导地表过程的“人类世”,实现适应性治理有助于应对社会—生态系统的复杂性与不确定性。鉴于中国的生态环境正处于迅速变化时期,且中国与世界各国间的相互影响日益复杂,未来研究可重点关注以下3个方面：① 理解耦合系统的多元互动过程,增强适应能力;② 强调社会—生态系统的整体性研究;③ 提高环境变化背景下理解和预测系统动态的能力。

Study on adaptive governance of social-ecological system: Progress and prospect

Social-Ecological System (SES) is composed of social subsystem, ecological subsystem and the interaction between them; its structure, functions, and characteristics are different from those of social subsystem or ecological subsystem alone. Relying on adaptive social mechanisms of power-sharing and decision making, the adaptive governance of SES aims to guarantee human well-being in a sustainable manner under dynamic conditions. Adaptive governance theory is influenced by "common pool resources management", "resilience" and "governance", and lays a foundation for the construction of transformative governance and collaborative governance. This theory has three main objectives: (1) understanding and coping with the multi-stability, nonlinearity, uncertainty, integrity and complexity of SES; (2) establishing non-confrontational social structure, power-sharing structure and decision-making structure, and match with social subsystem and ecological subsystem; (3) achieving sustainable management of ecosystem services through an integrated approach. Therefore, in the face of the "Anthropocene" of human-behaviour-dominant surface processes, achieving adaptive governance helps to deal with the complexity and uncertainty of SES. Given the rapid changes in China's environment and the increasingly complicated interactions between China and countries all over the world, it will be helpful for future studies to pay close attention to the following fields: (1) understand the multi-interaction processes of a coupled system, and enhance its adaptability; (2) emphasize the significance of a holistic approach of studying SES; (3) improve the ability to understand and predict system dynamics in the context of environmental change.