Department of Environmental Studies and Sciences, The University of Winnipeg, 515 Portage Avenue, Winnipeg, MB, R3B 2E9, Canada.
Department of History, University of Toronto, 40 St George Street, Toronto, ON, M5S 2E4, Canada.
Environ Manage. 2022 Jun;69(6):1217-1230. doi: 10.1007/s00267-022-01630-x. Epub 2022 Apr 4.
The impact of climate-related changes on northern Canada's renewable resource sectors makes bolstering adaptive capacity an urgent imperative throughout the region. Although social learning is a key ingredient of adaptive capacity, our understanding of the relationships among social learning, adaptive capacity, and climate change adaptation is limited. Building on previous conceptual and empirical studies, this paper develops a framework that clarifies the interactions among social learning, adaptive capacity and climate change adaptation pertinent to a regional scale of analysis. The framework is multi-layered and consists of different levels of governing variables, units of analysis, learning outcomes and climate change adaptations. It is also integrative in that it encompasses social learning motivations, context and process factors, and outcomes, along with key determinants of adaptive capacity. A post hoc assessment of two climate change disturbances in northern boreal resource systems reveals the applicability of the framework to a regional scale analysis.
气候变化对加拿大北部可再生资源部门的影响使得加强适应能力成为该地区当务之急。尽管社会学习是适应能力的关键组成部分，但我们对社会学习、适应能力和气候变化适应之间关系的理解是有限的。本文在前人概念和实证研究的基础上，构建了一个框架，阐明了社会学习、适应能力和气候变化适应之间在区域分析尺度上的相互作用。该框架是多层次的，由不同层次的治理变量、分析单位、学习成果和气候变化适应组成。它还具有综合性，包括社会学习动机、背景和过程因素以及适应能力的关键决定因素。对北方北方资源系统中两种气候变化干扰的事后评估表明，该框架适用于区域尺度分析。
