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The benefits of Q + PPGIS for coupled human-natural systems research: A systematic review.
Johnson, Malcolm S; Adams, Vanessa M; Byrne, Jason; Harris, Rebecca M B.
Afiliação
  • Johnson MS; School of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, TAS, 7000, Australia. malcolm.johnson@utas.edu.au.
  • Adams VM; Centre for Marine Socioecology, Institute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Hobart, TAS, Australia. malcolm.johnson@utas.edu.au.
  • Byrne J; Geography and Environmental Studies, University of Tasmania, Private Bag 78, Hobart, TAS, 7001, Australia. malcolm.johnson@utas.edu.au.
  • Harris RMB; School of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, TAS, 7000, Australia.
Ambio ; 51(8): 1819-1836, 2022 Aug.
Article em En | MEDLINE | ID: mdl-35254646
ABSTRACT
Managing complex problems in socio-ecological systems (SES) requires innovative approaches, which account for multiple scales, large datasets, and diverse lived experiences. By combining two commonly utilized mixed-methods, public participation GIS (PPGIS) and Q-method (Q), Q + PPGIS has the potential to reveal competing agendas and reduce conflict, but its benefits and weaknesses are comparatively understudied. Using a systematic review, we evaluated how different studies have employed and implemented the Q + PPGIS method. We found 16 studies, comprising 30 publications, with considerable variation in their geographic foci, research disciplines, and addressed SES challenges. These studies exhibit a lack of cohesion between methodological design and implementation and the absence of a consistent application of the method. Nonetheless, Q + PPGIS offers a tool that can guide policy, better inform stakeholders, and reduce conflict based on misconceptions. Resolving the shortcomings identified here will broaden Q + PPGIS utility in geographically situating and representing multiple realities within complex socio-ecological systems challenges.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Participação da Comunidade / Sistemas de Informação Geográfica Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Participação da Comunidade / Sistemas de Informação Geográfica Tipo de estudo: Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article