Maxwell Keely
US Environmental Protection Agency, Washington, United States.
J Nat Resour Policy Res. 2018;8:110-130.
This article compares and contrasts resilience frameworks to identify commonalities and gaps. It proposes use of a coupled human-natural systems framework (CHNS) to analyze community resilience to disasters. CHNS builds on the human ecosystem model that analyzes how institutions and social order shape fluxes and flows of resources between and within social and environmental systems. It expands on the model by including anthropological concepts of culture, agency, power, and discourse. The framework covers environmental and social legacies, pre-disaster trends and conditions, resilience measures, and system changes provoked by a disaster. The article proposes eleven categories of variables that affect resilience and discusses research steps for putting the framework into action. The CHNS framework can be used to predict system changes and identify resilience measures that allow communities to articulate and achieve their resilience goals.
本文比较并对比了恢复力框架,以找出共性与差距。它提议使用耦合的人类-自然系统框架(CHNS)来分析社区对灾害的恢复力。CHNS建立在人类生态系统模型的基础上,该模型分析机构和社会秩序如何塑造社会与环境系统之间以及内部资源的流动。它通过纳入文化、能动性、权力和话语等人类学概念对该模型进行了扩展。该框架涵盖环境和社会遗产、灾前趋势和状况、恢复力措施以及灾害引发的系统变化。本文提出了影响恢复力的十一个变量类别,并讨论了将该框架付诸实践的研究步骤。CHNS框架可用于预测系统变化,并确定能让社区明确并实现其恢复力目标的恢复力措施。