Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China

Coastal seas are sensitive marine ecosystems, subject to stress from human activities and climate change. Understanding their health is therefore essential. In this study, we developed a comprehensive marine health assessment index (MHI) system using the pressure-state-response framework, and used i...

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Autores principales: Wei Yang, Ziyue Zhang, Tao Sun, Haifei Liu, Dongdong Shao
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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spelling oai:doaj.org-article:f8d8d052484d4421a13b45f157f485152021-12-01T04:31:00ZMarine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China1470-160X10.1016/j.ecolind.2020.106965https://doaj.org/article/f8d8d052484d4421a13b45f157f485152021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309043https://doaj.org/toc/1470-160XCoastal seas are sensitive marine ecosystems, subject to stress from human activities and climate change. Understanding their health is therefore essential. In this study, we developed a comprehensive marine health assessment index (MHI) system using the pressure-state-response framework, and used it to explore the temporal and spatial differences in marine health for 4 Chinese seas and 11 coastal regions of these seas. The South China Sea was relatively healthy, with an average MHI score of 0.72; the other coastal regions were moderately healthy, with MHI of 0.60 for the Yellow Sea, 0.59 for the Bohai Sea, and 0.56 for the East China Sea. At a provincial scale, Hainan’s coastal sea was relatively healthy. Guangdong, Shanghai, Tianjin, Liaoning, and Shandong had relatively healthy coastal seas; the others were moderately healthy. The overall health of most seas and provincial coasts decreased from 2003 to 2018. However, MHI increased by 10.6% in the East China Sea, versus 16.4 and 6.7% (respectively) for the Shanghai and Zhejiang coastal seas in the East China Sea, and a decrease of 4.9% for the Fujian coastal sea. The Bohai Sea MHI decreased by 1.6%, but Tianjin’s MHI increased by 1.7%. Therefore, the MHI trends were inconsistent between the regional and provincial scales. Marine disasters and environmental factors caused large MHI changes at a regional scale, whereas human factors were more important at the provincial scale. Our results show that an assessment’s spatial scale strongly affects the key factors that will be identified. Our results will help marine managers assess marine health at different spatial scales to support marine protection planning.Wei YangZiyue ZhangTao SunHaifei LiuDongdong ShaoElsevierarticleMarine environment health assessmentPressure-state-response frameworkCoastal regionCoastal seasSpatial scaleEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 106965- (2021)
institution DOAJ
collection DOAJ
language EN
topic Marine environment health assessment
Pressure-state-response framework
Coastal region
Coastal seas
Spatial scale
Ecology
QH540-549.5
spellingShingle Marine environment health assessment
Pressure-state-response framework
Coastal region
Coastal seas
Spatial scale
Ecology
QH540-549.5
Wei Yang
Ziyue Zhang
Tao Sun
Haifei Liu
Dongdong Shao
Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
description Coastal seas are sensitive marine ecosystems, subject to stress from human activities and climate change. Understanding their health is therefore essential. In this study, we developed a comprehensive marine health assessment index (MHI) system using the pressure-state-response framework, and used it to explore the temporal and spatial differences in marine health for 4 Chinese seas and 11 coastal regions of these seas. The South China Sea was relatively healthy, with an average MHI score of 0.72; the other coastal regions were moderately healthy, with MHI of 0.60 for the Yellow Sea, 0.59 for the Bohai Sea, and 0.56 for the East China Sea. At a provincial scale, Hainan’s coastal sea was relatively healthy. Guangdong, Shanghai, Tianjin, Liaoning, and Shandong had relatively healthy coastal seas; the others were moderately healthy. The overall health of most seas and provincial coasts decreased from 2003 to 2018. However, MHI increased by 10.6% in the East China Sea, versus 16.4 and 6.7% (respectively) for the Shanghai and Zhejiang coastal seas in the East China Sea, and a decrease of 4.9% for the Fujian coastal sea. The Bohai Sea MHI decreased by 1.6%, but Tianjin’s MHI increased by 1.7%. Therefore, the MHI trends were inconsistent between the regional and provincial scales. Marine disasters and environmental factors caused large MHI changes at a regional scale, whereas human factors were more important at the provincial scale. Our results show that an assessment’s spatial scale strongly affects the key factors that will be identified. Our results will help marine managers assess marine health at different spatial scales to support marine protection planning.
format article
author Wei Yang
Ziyue Zhang
Tao Sun
Haifei Liu
Dongdong Shao
author_facet Wei Yang
Ziyue Zhang
Tao Sun
Haifei Liu
Dongdong Shao
author_sort Wei Yang
title Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
title_short Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
title_full Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
title_fullStr Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
title_full_unstemmed Marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, China
title_sort marine ecological and environmental health assessment using the pressure-state-response framework at different spatial scales, china
publisher Elsevier
publishDate 2021
url https://doaj.org/article/f8d8d052484d4421a13b45f157f48515
work_keys_str_mv AT weiyang marineecologicalandenvironmentalhealthassessmentusingthepressurestateresponseframeworkatdifferentspatialscaleschina
AT ziyuezhang marineecologicalandenvironmentalhealthassessmentusingthepressurestateresponseframeworkatdifferentspatialscaleschina
AT taosun marineecologicalandenvironmentalhealthassessmentusingthepressurestateresponseframeworkatdifferentspatialscaleschina
AT haifeiliu marineecologicalandenvironmentalhealthassessmentusingthepressurestateresponseframeworkatdifferentspatialscaleschina
AT dongdongshao marineecologicalandenvironmentalhealthassessmentusingthepressurestateresponseframeworkatdifferentspatialscaleschina
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