气候变化领域集成服务门户(CCPortal): Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures

CCPortal

DOI	10.1038/s41467-024-46970-w
	Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures
	Huynh, Lam Thi Mai; Su, Jie; Wang, Quanli; Stringer, Lindsay C.; Switzer, Adam D.; Gasparatos, Alexandros
发表日期	2024
EISSN	2041-1723
起始页码	15
结束页码	1
卷号	15 期号:1
英文摘要	Traditional approaches to coastal defence often struggle to reduce the risks of accelerated climate change. Incorporating nature-based components into coastal defences may enhance adaptation to climate change with added benefits, but we need to compare their performance against conventional hard measures. We conduct a meta-analysis that compares the performances of hard, hybrid, soft and natural measures for coastal defence across different functions of risk reduction, climate change mitigation, and cost-effectiveness. Hybrid and soft measures offer higher risk reduction and climate change mitigation benefits than unvegetated natural systems, while performing on par with natural measures. Soft and hybrid measures are more cost-effective than hard measures, while hybrid measures provide the highest hazard reduction among all measures. All coastal defence measures have a positive economic return over a 20-year period. Mindful of risk context, our results provide strong an evidence-base for integrating and upscaling nature-based components into coastal defences in lower risk areas. This meta-analysis compares the performance of hard, hybrid, soft and natural coastal defence measures. Results show that all measures have a positive economic return over 20 years yet hybrid measures perform best for climate adaptation and mitigation.
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:001202403000012
来源期刊	NATURE COMMUNICATIONS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/307252
作者单位	University of Tokyo; University of Tokyo; University of York - UK; University of York - UK; Nanyang Technological University; Nanyang Technological University; United Nations University
推荐引用方式 GB/T 7714	Huynh, Lam Thi Mai,Su, Jie,Wang, Quanli,et al. Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures[J],2024,15(1).
APA	Huynh, Lam Thi Mai,Su, Jie,Wang, Quanli,Stringer, Lindsay C.,Switzer, Adam D.,&Gasparatos, Alexandros.(2024).Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures.NATURE COMMUNICATIONS,15(1).
MLA	Huynh, Lam Thi Mai,et al."Meta-analysis indicates better climate adaptation and mitigation performance of hybrid engineering-natural coastal defence measures".NATURE COMMUNICATIONS 15.1(2024).