Abstract
Climate change impacts are increasingly complex owing to compounding, interacting, and cascading risks across sectors. However, approaches to support Disaster Risk Management (DRM) addressing the underlying (uncertain) risk driver interactions are still lacking. We tailor the approach of Dynamic Adaptive Policy Pathways (DAPP) to DAPP-MR to design DRM pathways for complex, dynamic multi-risk in multi-sector systems. We review the recent multi-hazard and multi-sector research to identify relevant aspects of multi-risk management frameworks and illustrate the suitability of DAPP-MR using a stylized case. It is found that rearranging the analytical steps of DAPP by introducing three iteration stages can help to capture interactions, trade-offs, and synergies across hazards and sectors. We show that DAPP-MR may guide multi-sector processes to stepwise integrate knowledge toward multi-risk management. DAPP-MR can be seen as an analytical basis and first step toward an operational, integrative, and interactive framework for short-to long-term multi-risk DRM.
Original language | English |
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Article number | 105219 |
Pages (from-to) | 1-26 |
Number of pages | 26 |
Journal | iScience |
Volume | 25 |
Issue number | 10 |
Early online date | 29 Sept 2022 |
DOIs | |
Publication status | Published - 21 Oct 2022 |
Bibliographical note
Funding Information:JS, MH, and MdR have been supported in this research by the European Union’s Horizon 2020 research and innovation programme (grant no. 101003276 ) as part of the MYRIAD_EU project. JA has been supported in this work by the ERC grant COASTMOVE, grant 884442 . The work reflects only the author’s view and the agency is not responsible for any use that may be made of the information it contains. We thank the two reviewers and the editor for their constructive and in-depth feedback that helped to improve the quality of the article. We thank Joseph Guillaume for the reflections shared on the PhD research proposal of JS. Some of those reflections were incorporated in Conclusions and limitations of this study . We furthermore thank Dana Stuparu and Aaron Hunyady for their in-depth feedback and proofreading.
Funding Information:
JS, MH, and MdR have been supported in this research by the European Union's Horizon 2020 research and innovation programme (grant no. 101003276) as part of the MYRIAD_EU project. JA has been supported in this work by the ERC grant COASTMOVE, grant 884442. The work reflects only the author's view and the agency is not responsible for any use that may be made of the information it contains. We thank the two reviewers and the editor for their constructive and in-depth feedback that helped to improve the quality of the article. We thank Joseph Guillaume for the reflections shared on the PhD research proposal of JS. Some of those reflections were incorporated in Conclusions and limitations of this study. We furthermore thank Dana Stuparu and Aaron Hunyady for their in-depth feedback and proofreading. JS coordinated and led the writing of the article. All authors contributed to the conceptualization of the article, to discussions on the content, and text and ideas. The authors have no other competing interests to declare.
Publisher Copyright:
© 2022 The Author(s)
Funding
JS, MH, and MdR have been supported in this research by the European Union’s Horizon 2020 research and innovation programme (grant no. 101003276 ) as part of the MYRIAD_EU project. JA has been supported in this work by the ERC grant COASTMOVE, grant 884442 . The work reflects only the author’s view and the agency is not responsible for any use that may be made of the information it contains. We thank the two reviewers and the editor for their constructive and in-depth feedback that helped to improve the quality of the article. We thank Joseph Guillaume for the reflections shared on the PhD research proposal of JS. Some of those reflections were incorporated in Conclusions and limitations of this study . We furthermore thank Dana Stuparu and Aaron Hunyady for their in-depth feedback and proofreading. JS, MH, and MdR have been supported in this research by the European Union's Horizon 2020 research and innovation programme (grant no. 101003276) as part of the MYRIAD_EU project. JA has been supported in this work by the ERC grant COASTMOVE, grant 884442. The work reflects only the author's view and the agency is not responsible for any use that may be made of the information it contains. We thank the two reviewers and the editor for their constructive and in-depth feedback that helped to improve the quality of the article. We thank Joseph Guillaume for the reflections shared on the PhD research proposal of JS. Some of those reflections were incorporated in Conclusions and limitations of this study. We furthermore thank Dana Stuparu and Aaron Hunyady for their in-depth feedback and proofreading. JS coordinated and led the writing of the article. All authors contributed to the conceptualization of the article, to discussions on the content, and text and ideas. The authors have no other competing interests to declare.
Funders | Funder number |
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Horizon 2020 Framework Programme | 884442 |
European Research Council | |
Horizon 2020 | 101003276 |
Keywords
- Climatology
- Earth sciences
- Environmental event