Integrating Social Learning, Adaptive Capacity and Climate Adaptation for Regional Scale Analysis: A Conceptual Framework

Ryan C.L. Bullock, Alan Diduck, Jonathan Luedee, Melanie Zurba

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1217-1230
Number of pages14
JournalEnvironmental Management
Volume69
Issue number6
DOIs
Publication statusPublished - Jun 2022

Bibliographical note

Funding Information:
This work was supported by the Social Sciences and Humanities Research Council Insight Grant [grant number 435-2018-0787] and the Canada Research Chairs program.

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

ASJC Scopus Subject Areas

  • Global and Planetary Change
  • Ecology
  • Pollution

PubMed: MeSH publication types

  • Journal Article

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