Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model-Applied to the Changshan Islands | |
Qin, Keyu1,6; Huang, Haijun1,2,4,6; Liu, Jingya1,5; Yan, Liwen1,2,6; Liu, Yanxia1,2,6; Bi, Haibo1,2,6; Zhang, Zehua1,2,6; Zhang, Yi1,2,3,6 | |
刊名 | INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH |
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 |
DOI | 10.3390/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 |
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 |
出版者 | MDPI |
WOS记录号 | WOS:000644176300001 |
内容类型 | 期刊论文 |
源URL | [http://ir.qdio.ac.cn/handle/337002/170874] |
专题 | 海洋研究所_海洋地质与环境重点实验室 |
通讯作者 | Liu, Jingya |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Ctr Ocean Mega Sci, Qingdao 266071, Peoples R China 3.Shandong Univ Sci & Technol, Coll Ocean Sci & Engn, Qingdao 266000, 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.Chinese Acad Sci, Inst Oceanol, Key Lab Marine Geol & Environm, Qingdao 266071, 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. |
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