132
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The interactional approach to adaptive capacity: Researching adaptation in socially diverse, wildfire prone communities

Pages 481-504 | Received 23 Jun 2022, Accepted 02 Nov 2022, Published online: 28 Dec 2022
 

ABSTRACT

This article outlines an approach for understanding the ways that local social context influences differential community adaptation to wildfire risk. I explain how my approach drew from Wilkinson’s interactional theory of community during various stages of its evolution and describe a series of advancements developed while extending the theory to promote collective action for wildfire. Extensions of Wilkinson’s work include organizing a range of adaptive capacity characteristics that help document differential community capacity for wildfire adaptation, introduction of “community archetypes” that reflect patterns of key adaptive capacity characteristics across cases, and development of fire adaptation “pathways” – combinations of policies, actions, and programs tailored to a range of community conditions. Throughout the article, I illustrate the utility of Wilkinson’s conceptions about community and make the case for its continued guidance in promoting practically oriented research and extension efforts that contribute to tailored community development.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the USDA Forest Service Rocky Mountain Research Station/State and Private Forestry [21-CS-11221636].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 136.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.