Liu, Xin1,3
; Wang, Yebao1,2; Costanza, Robert3; Kubiszewski, Ida3; Xu, Ning4; Gao, Zhiqiang1; Yuan, Meihua3,5; Geng, Ruiying1,6; Chen, He7; Hu, Xiaoke1发表期刊Ecological Indicators
ISSN1470-160X
2019
卷号107页码:105610
关键词CultivationDisastersEcosystemsHurricanesRegression analysisWetlandsWind
DOI10.1016/j.ecolind.2019.105610
产权排序(1) Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong; 264003, China; (2) Ocean College, Yantai University, Yantai; 264005, China; (3) Australian National University, Canberra; ACT; 2601, Australia; (4) Shangqiu Normal University, Shangqiu; 476000, China; (5) National Taiwan University, Taipei; 10617, Taiwan; (6) University of Chinese Academy of Sciences, Beijing; 100049, China; (7) Beijing Normal University, Beijing; 100875, China
作者部门海岸带信息集成与综合管理实验室
英文摘要Rice paddy cultivation has rooted in the Asian culture for thousands of years. At present, paddy fields as traditional agriculture in Asia provide not only ecosystem goods including rice and fibre production, but also other ecosystem services for human society. However, it is still not clear whether rice paddy fields like coastal wetlands provide typhoon protection function, although it is often regarded as a kind of artificial wetlands. We examined the relationship between the economic damages caused by typhoons and the presence of paddy fields with controlling for confounding variables including wind speed, typhoon duration and protective structures such as seawalls from 1989 to 2016 for China. Five economic regression models were proposed based on a variety of observation data coupled with GIS method. We found that paddy fields substitute for natural wetlands in mitigating the growing threat from typhoons in a changing climate. However, dry croplands appear not to provide a protective role to reduce typhoon damage. Using the multiple regression model we estimated the economic value of protection from typhoon damages provided by paddy fields to be an average of CNY 530,474/km2 and a median of CNY 127,436/km2 in China. This finding, if confirmed by renewed studies in the future, will have a significant impact on both ecosystem valuation of paddy fields and coastal management to mitigate the effect of natural disasters in a sustainable way. ? 2019 Elsevier Ltd
文章类型article
资助机构We’d like to thank the editors and reviewers for their helpful comments. Xin LIU is supported by the Chinese Academy of Sciences from 2017-2018 . Xin LIU and Yebao Wang received funding from the National Nature Science Foundation of China (grant reference #: NSFC41371483 ). Meihua YUAN received support from the National Taiwan University .
收录类别EI
语种英语
研究领域[WOS]Maritime Structures
EI主题词Cultivation; Disasters; Ecosystems; Hurricanes; Regression analysis; Wetlands; Wind
EI入藏号20193507371120
引用统计被引频次：2[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/25217
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
海岸带生物学与生物资源利用重点实验室_海岸带生物学与生物资源保护实验室
中科院海岸带环境过程与生态修复重点实验室
作者单位1.Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai Shandong; 264003, China;
2.Ocean College, Yantai University, Yantai; 264005, China;
3.Australian National University, Canberra; ACT; 2601, Australia;
4.Shangqiu Normal University, Shangqiu; 476000, China;
5.National Taiwan University, Taipei; 10617, Taiwan;
6.University of Chinese Academy of Sciences, Beijing; 100049, China;
7.Beijing Normal University, Beijing; 100875, China
推荐引用方式
GB/T 7714Liu, Xin,Wang, Yebao,Costanza, Robert,等. Rice paddy fields’ hidden value for typhoon protection in coastal areas[J]. Ecological Indicators,2019,107:105610.
APALiu, Xin.,Wang, Yebao.,Costanza, Robert.,Kubiszewski, Ida.,Xu, Ning.,...&Hu, Xiaoke.(2019).Rice paddy fields’ hidden value for typhoon protection in coastal areas.Ecological Indicators,107,105610.
MLALiu, Xin,et al."Rice paddy fields’ hidden value for typhoon protection in coastal areas".Ecological Indicators 107(2019):105610.
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