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环境变化与生态系统功能驱动社会-生态系统转型:一种程式化建模方法

Environmental change and ecosystem functioning drive transitions in social-ecological systems: A stylized modelling approach

Ecological Economics · 2023
被引 20
ABS 3

中文导读

通过扩展程式化模型,研究城市化社会如何因进口资源而降低对本地生态功能的依赖,分析环境变化下社会-生态系统在绿色循环与红色循环状态间的转型或崩溃。

Abstract

Sustainable management of social-ecological systems requires an understanding of how anthropogenic climate- and land use change may disrupt interactions between human societies and the ecosystem processes they depend on. In this study, we expand an existing stylized social-ecological system model by explicitly considering how urbanizing societies may become less dependent on local ecosystem functioning. This expansion is motivated by a previously developed conceptual framework suggesting that societies may reside in either a green loop and be strongly dependent on local ecosystem processes, or in a red loop where this dependency is weaker due to imports of natural resources from elsewhere. Analyzing the feasibility and stability of local social-ecological system states over a wide range of environmental and socio-economic conditions, we observed dynamics consistent with the notion of green loop-dominated and red loop-dominated societies comprising alternate stable social-ecological states. Based on systems' inherent dependencies on local ecosystem processes, responses to environmental change could comprise either transitions between green loop- and red loop-dominated states, or collapse of either of these states. Our quantitative model provides an internally consistent mapping of green loop- and red loop-dominated states, as well as transitions between or collapses of these states, along a gradient of environmental conditions.

社会-生态系统环境变化生态系统功能替代稳定状态可持续管理