Overcoming knowledge barriers to adaptation using a decision support framework

J. P. Palutikof (), Anne M. Leitch, D. Rissik, S. L. Boulter, M. J. Campbell, A. C. Perez Vidaurre, S. Webb and Fahim N. Tonmoy
Additional contact information
J. P. Palutikof: Griffith University
Anne M. Leitch: Griffith University
D. Rissik: Griffith University
S. L. Boulter: Griffith University
M. J. Campbell: Griffith University
A. C. Perez Vidaurre: Griffith University
S. Webb: Griffith University
Fahim N. Tonmoy: Griffith University

Climatic Change, 2019, vol. 153, issue 4, No 10, 607-624

Abstract: Abstract A decision support and information delivery framework, CoastAdapt, has been built to support the coastal adaptation community in Australia to take action to address climate change and sea-level rise. For such frameworks to be useful, used and long-lived, their development requires collaboration between creators and potential users. Therefore, we undertook extensive consultation throughout the design, build and evaluation. In this paper, we explore those aspects of the consultation that focused on understanding and addressing user needs and how CoastAdapt could best provide support to effectively carry out adaptation planning and action. The first step was to identify, through an online survey and workshops, the knowledge gaps and barriers that could be addressed by CoastAdapt. The responses fed into the design and build, together with additional feedback from users on the layout and content. Following release of the beta version, further comments from users were collected and scrutinised to identify modifications that could increase relevance and utility. Finally, test cases were carried out to understand whether CoastAdapt is truly fit for purpose in addressing ‘real-world’ adaptation situations. The end result is a supportive framework for coastal adaptation that will require constant monitoring and updating to ensure it remains fit for purpose given Australia’s rapidly evolving adaptation landscape.

Date: 2019
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DOI: 10.1007/s10584-018-2177-3

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