Assessment of Ecosystem-Based Disaster Risk Reduction Strategies in Coastal Environments of Taiwan

Viola van Onselen, Mucahid Mustafa Bayrak, Tsung Yi Lin*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Taiwan’s rapid economic and industrial growth has put enormous pressure on its natural environment. This is especially visible in the coastal zone, where risks such as sea-level rise, coastal erosion, land sub-sidence, and flooding threaten the already vulnerable ecosystems. Ecosystem-based disaster risk reduction (Eco-DRR) is a management strategy that uses ecosystems to reduce disaster risks. While this type of strategy is promoted in the ‘Taiwan Coastal Zone Management Act’ (TCZMA), there is still a lack of data on the implementation of Eco-DRR methods in Taiwan. This study examines papers on policy analyses of the TCZMA, and five main barriers for implementation of Eco-DRR in Taiwan are identified. Subsequently, in order to assess Eco-DRR strategies in the coastal zone of Taiwan, case studies and evaluation data on ecosystem-based management strategies were assem-bled and evaluated. The results of this study show that initial strategies to plant mangroves for reduction of wave energy have not always been successful; in cer-tain areas they were removed again due to invasive-ness in endemic wetland ecosystems. Moreover, arti-ficially building sand dunes can have negative side ef-fects, like oversteepening of the dune profile or dete-riorating the natural dune dynamics. To address and tackle aforementioned challenges, a novel framework is introduced for improved uptake of Eco-DRR in Taiwan and beyond, and suggestions for future strategies are proposed.

Original languageEnglish
Pages (from-to)700-707
Number of pages8
JournalJournal of Disaster Research
Volume18
Issue number7
DOIs
Publication statusPublished - 2023 Oct

Keywords

  • Eco-DRR
  • coastal hazards
  • mangroves
  • sand dunes
  • windbreak forests

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

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