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The benefits of Q + PPGIS for coupled human-natural systems research: A systematic review


Johnson, MS and Adams, VM and Byrne, J and Harris, RMB, The benefits of Q + PPGIS for coupled human-natural systems research: A systematic review, Ambio, 51, (8) pp. 1819-1836. ISSN 0044-7447 (2022) [Refereed Article]

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Copyright Statement

Copyright The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

DOI: doi:10.1007/s13280-022-01709-z


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.

Item Details

Item Type:Refereed Article
Keywords:environmental management, mixed-method , planning, PPGIS, Q-method, socio-ecological system, Q-sort
Research Division:Environmental Sciences
Research Group:Environmental management
Research Field:Conservation and biodiversity
Objective Division:Environmental Policy, Climate Change and Natural Hazards
Objective Group:Other environmental policy, climate change and natural hazards
Objective Field:Other environmental policy, climate change and natural hazards not elsewhere classified
UTAS Author:Johnson, MS (Mr Malcolm Johnson)
UTAS Author:Adams, VM (Associate Professor Vanessa Adams)
UTAS Author:Byrne, J (Professor Jason Byrne)
UTAS Author:Harris, RMB (Dr Rebecca Harris)
ID Code:150392
Year Published:2022
Deposited By:Geography and Spatial Science
Deposited On:2022-06-10
Last Modified:2022-08-25
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