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Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands

文献类型：期刊论文

作者Qin, Keyu3,4; Huang, Haijun1,3,4,5; Liu, Jingya4,6; Yan, Liwen3,4,5; Liu, Yanxia3,4,5; Bi, Haibo3,4,5; Zhang, Zehua3,4,5; Zhang, Yi2,3,4,5
刊名INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
出版日期2021-04-01
卷号18期号:8页码:24
关键词island ecological vulnerability Bayesian network impact mechanism the Changshan Islands
DOI10.3390/ijerph18084150
通讯作者Liu, Jingya(liujy.17b@igsnrr.ac.cn)
英文摘要Islands are one of the most sensitive interfaces between global changes and land and sea dynamic effects, with high sensitivity and low stability. Therefore, under the dynamic coupling effect of human activities and frequent natural disasters, the vulnerability of the ecological environment of islands shows the characteristics of complexity and diversity. For the protection of island ecosystems, a system for the assessment of island ecosystems and studies on the mechanism of island ecological vulnerability are highly crucial. In this study, the North and South Changshan Islands of China were selected as the study area. Considering various impact factors of island ecological vulnerability, the geographical information systems (GIS) spatial analysis, field surveys, data sampling were used to evaluate island ecological vulnerability. The Bayesian network model was used to explore the impact mechanism of ecological vulnerability. The results showed that the ecological vulnerability of the North Changshan Island is higher than that of the South Changshan Island. Among all the indicators, the proportion of net primary productivity (NPP) and the steep slope has the strongest correlation with ecological vulnerability. This study can be used as references in the relevant departments to formulate management policies and promote the sustainable development of islands and their surrounding waters
WOS关键词ECOSYSTEM SERVICES ; CLIMATE-CHANGE ; DEVELOPING STATES ; BELIEF NETWORKS ; TRADE-OFFS ; FRAMEWORK ; REGION ; TOOL
资助项目Open Fund of the Key Laboratory of Marine Geology and Environment, Chinese Academy of Sciences[MEG2020KG13] ; National Natural Science Foundation of China[41976166] ; National Natural Science Foundation of China -Shandong Joint Fund for Marine Science Research Centers[U1606401]
WOS研究方向Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
语种英语
WOS记录号WOS:000644176300001
出版者MDPI
资助机构Open Fund of the Key Laboratory of Marine Geology and Environment, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China -Shandong Joint Fund for Marine Science Research Centers
源URL[http://ir.igsnrr.ac.cn/handle/311030/161652]  
专题中国科学院地理科学与资源研究所
通讯作者Liu, Jingya
作者单位1.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China
2.Shandong Univ Sci & Technol, Coll Ocean Sci & Engn, Qingdao 266000, Peoples R China
3.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China
6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Qin, Keyu,Huang, Haijun,Liu, Jingya,et al. Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands[J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,2021,18(8):24.
APA Qin, Keyu.,Huang, Haijun.,Liu, Jingya.,Yan, Liwen.,Liu, Yanxia.,...&Zhang, Yi.(2021).Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands.INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH,18(8),24.
MLA Qin, Keyu,et al."Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands".INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 18.8(2021):24.

入库方式： OAI收割

来源：地理科学与资源研究所

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