Research on Intelligent Assessment Technology for Marine Ecosystem Health Status DOI Creative Commons
Qiong Gao

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract With the development of science and technology, ocean is providing a strong material economic guarantee for human society. The issue assessing health marine ecosystem data support healthy system has become hot topic many scholars. This study mainly establishes assessment system, analyzes degree ecosystems using information entropy, then adopts gray correlation method DPSIR model to predict level ecosystems, discusses sustainability generating provides direction ecology. entropy “supportive input” criterion layer highest, accounting 42.25%. From analysis comprehensive index from 2020 2023, IHI ranges 0.6 1.5, state can reach in future period, which shows that economy technology influences

Language: Английский

Spatio-temporal evaluation of ecological security of cultivated land in China based on DPSIR-entropy weight TOPSIS model and analysis of obstacle factors DOI Creative Commons
Xiaodong Jing,

Shengting Tao,

Hao Hu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112579 - 112579

Published: Sept. 1, 2024

Language: Английский

Citations

11

Research on the impact of marine ecological civilization demonstration zone policies on the green development level of China's marine economy: A quasi natural experiment based on coastal cities DOI
Wenhan Ren, Yuhan Xu, Xiao Han

et al.

Marine Policy, Journal Year: 2024, Volume and Issue: 161, P. 106048 - 106048

Published: Feb. 9, 2024

Language: Английский

Citations

10

Spatiotemporal evaluation and analysis of cultivated land ecological security based on the DPSIR model in Enshi autonomous prefecture, China DOI Creative Commons
Nan He, Zhou Yong, Li Wang

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109619 - 109619

Published: Nov. 4, 2022

Evaluating and analyzing cultivated land ecological security (ES) can reliably optimize ecosystem service supplies in lands. This study selected Enshi Autonomous Prefecture (Enshi Prefecture) as the research area, aiming to assess spatiotemporal variability of ES level analyze its main obstacle factors, thus providing paths for enhancement. Based on driving force-pressure-state-impact-response (DPSIR) model framework, an index system evaluating was constructed. Then, weights were calculated by entropy method, a comprehensive composite method determine level. Finally, obstacles affecting analyzed degree model. The results showed that (1) From 2005 2018, rose from 0.402 0.685. went through relatively insecure stage (2005–2012), generally secure (2013–2016) (2017–2018). (2) Regional differences are obvious, with lower eastern western regions than central region 2010 2018. (3) underwent significant temporal changes. 2009, they included proportion environmental investment gross domestic product (GDP), effective irrigation area ratio, per-capita GDP; 2010–2018, population density, fertilizer application per unit, share primary industry GDP. Compared 2005, those 2018 demonstrated significantly larger magnitude. improves understanding which supports sustainable use resources protection trinity quantity-quality-ecology similar regions.

Language: Английский

Citations

36

Urban ecological security assessment and path regulation for ecological protection - A case study of Shenzhen, China DOI Creative Commons
Shu Tian, Yujie Zhang, Yue Xu

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 145, P. 109717 - 109717

Published: Nov. 30, 2022

The rapid development of urbanization has triggered the contradiction between population, resources and environment. As a result, urban ecological security attracted more attention, gradually become key to restricting sustainable social economy. This work constructs dynamic assessment prediction research framework, which is verified by taking Shenzhen, typical big city in China, as an example. Specifically, evaluated through “pressure-state-response” (PSR) model, its influencing factors are identified coupling factor analysis method. Finally, future predicted analyzed Monte Carlo. results show that comprehensive safety index Shenzhen ecosystem increasing, impact indicators human settlements respectively. Additionally, it anticipated Shenzhen’s level will reach comfortable 2025. To sum up, according prediction, targeted suggestions on improvement path put forward. It suggested should continue increase investment environmental protection, science technology other fields ensure ecosystem. Using case study, this examines regulatory for security. On one hand, can provide methodological framework historical evaluation China possibly entire world. And theoretical reference cities formulate policies development.

Language: Английский

Citations

24

Construction and influencing factors of an early warning system for marine ranching ecological security: Experience from China's coastal areas DOI
Mengyu Jiao,

Weizhong Yue,

Anning Suo

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 335, P. 117515 - 117515

Published: Feb. 24, 2023

Language: Английский

Citations

16

Spatiotemporal evolution and impact mechanism of ecological vulnerability in the Guangdong–Hong Kong–Macao Greater Bay Area DOI Creative Commons
Rui Zhang, Sheng Chen, Liang Gao

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 157, P. 111214 - 111214

Published: Nov. 14, 2023

The constant conflict between the rapidly developing socioeconomic and ecological environment within Guangdong–Hong Kong–Macao Greater Bay Area necessitates exploration of ecosystem vulnerability patterns driving mechanisms. A comprehensive social–economic–ecological framework is proposed to assess pattern Area, specifically spanning from 1990 2020. Employing geographic detectors weighting methods, study quantifies spatiotemporal variation underlying mechanisms in area. results demonstrate an obvious trend index (ESVI) across with initial decline followed by gradual increase during the1990–2020. substantial majority region (approximately 63.85% total area) experienced a ESVI 2010. Moreover, spatial distribution this exhibited prevailing east-to-west pattern, indicating overall southward shift over time. Furthermore, was primarily concentrated central expanding urban areas situated on both sides Pearl River estuary. Encouragingly, notable amplification observed 2010 2020, which attributed development, utilization, protection land, forests, water bodies, other pertinent factors associated expansion. impact climate change changes exhibits growing magnitude time, while human activities persist as predominant driver changes. natural exerted upper reaches River, included topographic relief, precipitation, network density, biological abundance, related aspects. Conversely, pronounced influence predominantly manifests agglomeration Delta. Key contributors such manifestation encompass land types, intensity activities, population variables. Changes use have potential induce heightened amelioration practices can be mitigated reduced employing ESVI. introduced holds extend assessments regions similar types. It expected that findings derived could contribute formulation policy recommendations pertaining management.

Language: Английский

Citations

16

Evolution of marine ecology-industry symbiosis patterns and ecological security assessment: New evidence from coastal areas of China DOI Open Access
Wenhan Ren, Yuhan Xu,

Jing Ni

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 247, P. 106939 - 106939

Published: Nov. 25, 2023

Language: Английский

Citations

16

An analysis of the tripartite evolutionary game for building the ecological security barrier in the Bohai Sea under the threshold of land-sea integration DOI Creative Commons
Di Luan, Hongjun Cao, Tongkun Qu

et al.

Frontiers in Marine Science, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 8, 2024

The construction of marine ecological security barriers (MESBs) is fundamental for the sustainable development environment and economy, an important component strategy land-sea integration. It difficult to build effective MESB simply by relying on power government; therefore, this respect, it urgent encourage multiple participating subjects work together. This study takes Bohai Sea as research object, uses evolutionary game theory construct a model decision-making behavior among enterprises, local governments, public in process Sea, so explore strategic stability equilibrium point through analysis interests three decision makers, lay foundation promoting process. results are follows: (1) Local government regulation key promote transformation from policy documents goal practice; moreover, directly influences whether main sources land-based pollution, i.e., will abandon traditional approach production actively MESB. (2) supervision reporting can be used synergistic, auxiliary means. Thanks government’s publicity education, develop social awareness security, which turn ensure better governments and, thus, active participation enterprises Sea. (3) Participation costs, benefits, corporate image, fines, other factors considered choice with different having marginal effects at stages. Finally, proposes measures further clarify roles functions stakeholders balance subjects, provide implementation path realization “Ocean Power”.

Language: Английский

Citations

5

Composite indicators for multi-dimensional assessments of marine economic security in China DOI
Zhaosu Meng,

Xinyi Yu,

Lihong Wang

et al.

Ocean & Coastal Management, Journal Year: 2024, Volume and Issue: 251, P. 107063 - 107063

Published: Feb. 19, 2024

Language: Английский

Citations

5

Characteristics, drivers and ecological risk assessment of microplastics in the surface water of urban rivers in Guangdong-Hong Kong-Macao Greater Bay Area cities - A case study of Dongguan city DOI

Weining Liu,

Siyang Li, Ya Zhou

et al.

Environmental Pollution, Journal Year: 2024, Volume and Issue: unknown, P. 125024 - 125024

Published: Sept. 1, 2024

Language: Английский

Citations

5