复杂适应系统
生态系统理论
复杂系统
社会制度
工作(物理)
生态学
环境资源管理
计算机科学
经济
生物
工程类
人工智能
机械工程
作者
Simon A. Levin,Tasos Xepapadeas,Anne‐Sophie Crépin,Jon Norberg,Aart de Zeeuw,Carl Folke,Terry P. Hughes,Kenneth J. Arrow,Scott Barrett,Gretchen C. Daily,Paul R. Ehrlich,Nils Kautsky,Karl-Göran Mäler,Steve Polasky,Max Troell,Jeffrey R. Vincent,Brian Walker
标识
DOI:10.1017/s1355770x12000460
摘要
Abstract Systems linking people and nature, known as social-ecological systems, are increasingly understood as complex adaptive systems. Essential features of these complex adaptive systems – such as nonlinear feedbacks, strategic interactions, individual and spatial heterogeneity, and varying time scales – pose substantial challenges for modeling. However, ignoring these characteristics can distort our picture of how these systems work, causing policies to be less effective or even counterproductive. In this paper we present recent developments in modeling social-ecological systems, illustrate some of these challenges with examples related to coral reefs and grasslands, and identify the implications for economic and policy analysis.
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