Curtin Charles G, Parker Jessica P
MIT-USGS Science Impact Collaborative, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, U.S.A..
Conserv Biol. 2014 Aug;28(4):912-23. doi: 10.1111/cobi.12321. Epub 2014 Jun 27.
Through 3 broad and interconnected streams of thought, resilience thinking has influenced the science of ecology and natural resource management by generating new multidisciplinary approaches to environmental problem solving. Resilience science, adaptive management (AM), and ecological policy design (EPD) contributed to an internationally unified paradigm built around the realization that change is inevitable and that science and management must approach the world with this assumption, rather than one of stability. Resilience thinking treats actions as experiments to be learned from, rather than intellectual propositions to be defended or mistakes to be ignored. It asks what is novel and innovative and strives to capture the overall behavior of a system, rather than seeking static, precise outcomes from discrete action steps. Understanding the foundations of resilience thinking is an important building block for developing more holistic and adaptive approaches to conservation. We conducted a comprehensive review of the history of resilience thinking because resilience thinking provides a working context upon which more effective, synergistic, and systems-based conservation action can be taken in light of rapid and unpredictable change. Together, resilience science, AM, and EPD bridge the gaps between systems analysis, ecology, and resource management to provide an interdisciplinary approach to solving wicked problems.
通过三条广泛且相互关联的思想流派,恢复力思维通过产生解决环境问题的新多学科方法,影响了生态学和自然资源管理科学。恢复力科学、适应性管理(AM)和生态政策设计(EPD)促成了一个围绕以下认识构建的国际统一范式:变化是不可避免的,科学和管理必须基于这一假设来应对世界,而非稳定性假设。恢复力思维将行动视为可供借鉴的实验,而非有待捍卫的学术主张或应被忽视的错误。它关注新颖和创新之处,并努力把握系统的整体行为,而非从离散的行动步骤中寻求静态、精确的结果。理解恢复力思维的基础是开发更全面、适应性更强的保护方法的重要基石。我们对恢复力思维的历史进行了全面回顾,因为鉴于快速且不可预测的变化,恢复力思维提供了一个工作背景,在此基础上可以采取更有效、协同且基于系统的保护行动。恢复力科学、AM 和 EPD共同弥合了系统分析、生态学和资源管理之间的差距,为解决棘手问题提供了一种跨学科方法。