How the DPSIR framework can be used for structuring problems and facilitating empirical research in coastal systems

Lewison, Rebecca L., Rudd, Murray A., Al-Hayek, Wissam, Baldwin, Claudia, Beger, Maria, Lieske, Scott N., Jones, Christian, Satumanatpan, Suvaluck, Junchompoo, Chalatip and Hines, Ellen (2016) How the DPSIR framework can be used for structuring problems and facilitating empirical research in coastal systems. Environmental Science and Policy, 56 110-119. doi:10.1016/j.envsci.2015.11.001

Author Lewison, Rebecca L.
Rudd, Murray A.
Al-Hayek, Wissam
Baldwin, Claudia
Beger, Maria
Lieske, Scott N.
Jones, Christian
Satumanatpan, Suvaluck
Junchompoo, Chalatip
Hines, Ellen
Title How the DPSIR framework can be used for structuring problems and facilitating empirical research in coastal systems
Journal name Environmental Science and Policy   Check publisher's open access policy
ISSN 1873-6416
Publication date 2016-02-01
Year available 2015
Sub-type Article (original research)
DOI 10.1016/j.envsci.2015.11.001
Open Access Status Not Open Access
Volume 56
Start page 110
End page 119
Total pages 10
Place of publication New York, NY, United States
Publisher Elsevier
Language eng
Subject 3305 Geography, Planning and Development
2308 Management, Monitoring, Policy and Law
Abstract As pressures on coastal zones mount, there is a growing need for frameworks that can be used to conceptualize complex sustainability challenges and help organize research that increases understand about interacting ecological and societal processes, predicts change, and supports the management, persistence, and resilience of coastal systems. The Driver–Pressure–State–Impact–Response (DPSIR) framework is one such approach that has been adopted in some coastal zones around the world. Although the application of the DPSIR framework has considerable potential to bridge the gap between scientific disciplines and link science to coastal policy and management, current applications of DPSIR in coastal environments have been limited and new innovations in the application of the DPSIR model are needed. We conducted a structured review of literature on the DPSIR framework as applied to the function, process and components of complex coastal systems. Our specific focus was on how the DPSIR framework has been used as a tool to organize sophisticated empirical scientific research, support transdisciplinary knowledge at a level appropriate for building understanding about coastal systems, and how adopting a DPSIR approach can help stakeholders to articulate and structure challenges in coastal systems and use the framework to support policy and management outcomes. The review revealed that DPSIR models of coastal systems have been largely used to support and develop conceptual understanding of coastal social–ecological systems and to identify drivers and pressures in the coastal realm. A limited number of studies have used DPSIR as a starting point for semi-quantitative or quantitative analyses, although our review highlights the continued need for, and potential of, transformative quantitative analyses and transdisciplinary applications of the DPSIR framework. The DPSIR models we reviewed were predominantly single sector, encompassing ecological or biophysical factors or focusing primarily on socio-cultural dimensions rather than full integration of both types of information. Only in eight of 24 shortlisted articles did researchers actively engage decision-makers or citizens in their research: given the potential opportunity for using DPSIR as a tool to successfully engage policy-makers and stakeholders, it appears that the DPSIR framework has been under-utilized in this regard.
Keyword Coastal zone management
Complex systems analysis
Coupled human and natural systems (CHANS)
Social-ecological systems (SES)
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Faculty of Science Publications
Official 2016 Collection
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Citation counts: TR Web of Science Citation Count  Cited 16 times in Thomson Reuters Web of Science Article | Citations
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