Cargando…

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

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 islan...

Descripción completa

Detalles Bibliográficos
Autores principales: Qin, Keyu, Huang, Haijun, Liu, Jingya, Yan, Liwen, Liu, Yanxia, Bi, Haibo, Zhang, Zehua, Zhang, Yi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070947/
https://www.ncbi.nlm.nih.gov/pubmed/33919950
http://dx.doi.org/10.3390/ijerph18084150
_version_ 1783683586901147648
author Qin, Keyu
Huang, Haijun
Liu, Jingya
Yan, Liwen
Liu, Yanxia
Bi, Haibo
Zhang, Zehua
Zhang, Yi
author_facet Qin, Keyu
Huang, Haijun
Liu, Jingya
Yan, Liwen
Liu, Yanxia
Bi, Haibo
Zhang, Zehua
Zhang, Yi
author_sort Qin, Keyu
collection PubMed
description 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
format Online
Article
Text
id pubmed-8070947
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-80709472021-04-26 Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands Qin, Keyu Huang, Haijun Liu, Jingya Yan, Liwen Liu, Yanxia Bi, Haibo Zhang, Zehua Zhang, Yi Int J Environ Res Public Health Article 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 MDPI 2021-04-14 /pmc/articles/PMC8070947/ /pubmed/33919950 http://dx.doi.org/10.3390/ijerph18084150 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qin, Keyu
Huang, Haijun
Liu, Jingya
Yan, Liwen
Liu, Yanxia
Bi, Haibo
Zhang, Zehua
Zhang, Yi
Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title_full Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title_fullStr Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title_full_unstemmed Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title_short Impact Mechanism of the Ecological Vulnerability of Highly Developed Islands Based on the Bayesian Network Model—Applied to the Changshan Islands
title_sort impact mechanism of the ecological vulnerability of highly developed islands based on the bayesian network model—applied to the changshan islands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8070947/
https://www.ncbi.nlm.nih.gov/pubmed/33919950
http://dx.doi.org/10.3390/ijerph18084150
work_keys_str_mv AT qinkeyu impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT huanghaijun impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT liujingya impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT yanliwen impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT liuyanxia impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT bihaibo impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT zhangzehua impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands
AT zhangyi impactmechanismoftheecologicalvulnerabilityofhighlydevelopedislandsbasedonthebayesiannetworkmodelappliedtothechangshanislands