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Q + PPGIS 在人地耦合系统研究中的应用优势:系统综述。

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

机构信息

School of Geography, Planning, and Spatial Sciences, University of Tasmania, Hobart, TAS, 7000, Australia.

Centre for Marine Socioecology, Institute for Marine and Antarctic Studies, College of Sciences and Engineering, University of Tasmania, Hobart, TAS, Australia.

出版信息

Ambio. 2022 Aug;51(8):1819-1836. doi: 10.1007/s13280-022-01709-z. Epub 2022 Mar 7.

DOI:10.1007/s13280-022-01709-z
PMID:35254646
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9200925/
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.

摘要

管理社会-生态系统(SES)中的复杂问题需要创新方法,这些方法需要考虑多个尺度、大数据集和多样化的生活经验。通过结合两种常用的混合方法,公众参与地理信息系统(PPGIS)和 Q 方法(Q),Q+PPGIS 有可能揭示相互竞争的议程并减少冲突,但它的优缺点相对研究不足。我们使用系统评价,评估了不同研究如何采用和实施 Q+PPGIS 方法。我们发现了 16 项研究,包含 30 篇出版物,这些研究在地理重点、研究学科和解决 SES 挑战方面存在很大差异。这些研究在方法设计和实施之间缺乏一致性,并且该方法的应用也不一致。尽管如此,Q+PPGIS 提供了一种工具,可以根据误解来指导政策、更好地为利益相关者提供信息并减少冲突。解决这里确定的缺点将扩大 Q+PPGIS 在地理定位和表示复杂社会-生态系统挑战中多种现实的用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/25fc3c85db8e/13280_2022_1709_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/adfba059001d/13280_2022_1709_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/b92f5234fcd6/13280_2022_1709_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/feea746781b0/13280_2022_1709_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/25fc3c85db8e/13280_2022_1709_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/adfba059001d/13280_2022_1709_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/b92f5234fcd6/13280_2022_1709_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/feea746781b0/13280_2022_1709_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a630/9200925/25fc3c85db8e/13280_2022_1709_Fig4_HTML.jpg

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