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

doi:10.3390/ijerph18084150

IOCAS-IR > 海洋地质与环境重点实验室

	Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands
	Qin, Keyu 1,2; Huang, Haijun 1,2,3,4; Liu, Jingya 2,5; Yan, Liwen 1,2,3; Liu, Yanxia 1,2,3; Bi, Haibo 1,2,3; Zhang, Zehua1,2,3 ; Zhang, Yi 1,2,3,6
	2021-04-01
发表期刊	INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
卷号	18 期号:8 页码:24
通讯作者	Liu, Jingya([email protected])
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
关键词	island ecological vulnerability Bayesian network impact mechanism the Changshan Islands
DOI	10.3390/ijerph18084150
收录类别	SCI
语种	英语
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
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS记录号	WOS:000644176300001
出版者	MDPI
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.qdio.ac.cn/handle/337002/170875
专题	海洋地质与环境重点实验室
通讯作者	Liu, Jingya
作者单位	1.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 3.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 4.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 6.Shandong Univ Sci & Technol, Coll Ocean Sci & Engn, Qingdao 266000, Peoples R China
第一作者单位	中国科学院海洋研究所
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.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
ijerph-18-04150-v2.p（24670KB）	期刊论文	出版稿	限制开放	CC BY-NC-SA	浏览