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

Citation

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, https://creativecommons.org/licenses/by/4.0/) 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

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.

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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