步伐
预警系统
脆弱性
复杂系统
气候变化
计算机科学
贫穷
关键基础设施
生态系统
级联故障
系统性风险
业务
地理
计算机安全
生态学
政治学
物理
金融危机
经济
生物
电信
人工智能
热力学
宏观经济学
电力系统
功率(物理)
法学
量子力学
大地测量学
作者
Marten Scheffer,Stephen R. Carpenter,Timothy M. Lenton,Jordi Bascompte,William Brock,Vasilis Dakos,Johan van de Koppel,Ingrid A. van de Leemput,Simon A. Levin,Egbert H. van Nes,Mercedes Pascual,John H. Vandermeer
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2012-10-18
卷期号:338 (6105): 344-348
被引量:2208
标识
DOI:10.1126/science.1225244
摘要
Tipping points in complex systems may imply risks of unwanted collapse, but also opportunities for positive change. Our capacity to navigate such risks and opportunities can be boosted by combining emerging insights from two unconnected fields of research. One line of work is revealing fundamental architectural features that may cause ecological networks, financial markets, and other complex systems to have tipping points. Another field of research is uncovering generic empirical indicators of the proximity to such critical thresholds. Although sudden shifts in complex systems will inevitably continue to surprise us, work at the crossroads of these emerging fields offers new approaches for anticipating critical transitions.
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