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

Ryan C L Bullock1, Alan Diduck2, Jonathan Luedee3

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Summary

Bolstering adaptive capacity is crucial for northern Canada

Keywords:
AdaptationAdaptive capacityClimate changeSocial learning

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Area of Science:

  • Environmental Science
  • Social Science
  • Resource Management

Background:

  • Climate change impacts northern Canada's renewable resources, necessitating adaptive capacity.
  • Social learning is vital for adaptation, but its links to adaptive capacity and climate change adaptation are not fully understood.

Purpose of the Study:

  • To develop and present a framework clarifying the interactions among social learning, adaptive capacity, and climate change adaptation at a regional scale.
  • To integrate social learning motivations, context, process factors, outcomes, and determinants of adaptive capacity within the framework.

Main Methods:

  • Conceptual and empirical studies were built upon to develop a multi-layered framework.
  • The framework was assessed post hoc using two climate change disturbances in northern boreal resource systems.

Main Results:

  • The developed framework effectively clarifies the complex interactions between social learning, adaptive capacity, and climate change adaptation.
  • The framework's applicability was demonstrated for regional-scale analysis in northern boreal resource systems.

Conclusions:

  • The framework provides a valuable tool for understanding and enhancing adaptive capacity in the face of climate change in northern regions.
  • This research highlights the critical role of social learning in building resilience within renewable resource sectors.