Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index

doi:10.1016/j.ecolind.2017.10.050

	Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index
	Wu, Feng 5,6; Sun, Yufan 7; Sun, Zhongxiao 1; Wu, Sihong 2; Zhang, Qian 3,4,5,6
刊名	ECOLOGICAL INDICATORS
	2019-10-01
卷号	105 页码:337-346
关键词	Agricultural system Vulnerability Floods Emergy Landscape fragmentation index
ISSN号	1470-160X
DOI	10.1016/j.ecolind.2017.10.050
通讯作者	Zhang, Qian(zhangq.ccap@igsnrr.ac.cn)
英文摘要	In recent decades, the frequencies and intensities of extreme weather events have increased in many parts of the world. Floods, as one of the main types of extreme weather event, have a major influence on agroecosystem productivity, and, in turn, on agricultural income and food security. Consequently, analyzing agricultural system vulnerability to floods plays a significant role in food production and agroecosystem health. In this study, we establish a three-layer indicator system to evaluate agricultural vulnerability at the county level for flood-prone regions in China. Specifically, in the first layer, we assess agricultural vulnerability to floods based on the constructs of exposure, sensitivity, and adaptability. Indicators in the second layer include precipitation, runoff, land use, and capital, and are measured to capture the primary constructs. Together, the indicators are used to calculate agricultural system vulnerability to floods. We then innovatively correct the assessment results of vulnerability with the aid of a landscape fragmentation index, given that landscape fragmentation is known to influence the vulnerability of agricultural systems. The results for agricultural vulnerability to floods demonstrate clear spatial variations at the county level in 1995, 2000, 2005, and 2010, and also show changes in the spatial distribution of vulnerability over time. In this regard, areas that are distributed near inland rivers, lakes, and the southern coastal areas, and those areas with dense river networks, have relatively high vulnerabilities. The assessment results also indicate that the maximum and average intensities of vulnerability have decreased over time, although the extent of vulnerable agricultural land has increased. Importantly, by comparing the results between selected county pairs, the assessment results corrected using landscape fragmentation index is verified to be more robust and objective than without correction.
资助项目	National Key Research and Development Plan project[2016YFA0602504]
WOS关键词	CLIMATE-CHANGE ; CHINA ; SUSTAINABILITY ; IMPACTS
WOS研究方向	Biodiversity & Conservation ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000490574200030
资助机构	National Key Research and Development Plan project
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/129593]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Qian
作者单位	1.Leiden Univ, Inst Environm Sci CML, NL-2300 RA Leiden, Netherlands 2.Natl Ctr Sci & Technol Evaluat, Beijing 100081, Peoples R China 3.Hebei Univ, Collaborat Innovat Ctr Baiyangdian Basin Ecol Pro, Baoding 071002, Peoples R China 4.Royal Inst Technol KTH, Dept Urban Planning & Environm, Geoinformat Div, S-10044 Stockholm, Sweden 5.Chinese Acad Sci, Ctr Chinese Agr Policy, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.Univ Hong Kong, Fac Engn, Pokfulam, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Wu, Feng,Sun, Yufan,Sun, Zhongxiao,et al. Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index[J]. ECOLOGICAL INDICATORS,2019,105:337-346.
APA	Wu, Feng,Sun, Yufan,Sun, Zhongxiao,Wu, Sihong,&Zhang, Qian.(2019).Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index.ECOLOGICAL INDICATORS,105,337-346.
MLA	Wu, Feng,et al."Assessing agricultural system vulnerability to floods: A hybrid approach using emergy and a landscape fragmentation index".ECOLOGICAL INDICATORS 105(2019):337-346.