Assessment and Prediction of Coastal Ecological Resilience Based on the Pressure–State–Response (PSR) Model DOI Creative Commons

Zhang Wan,

Chengyi Zhao,

Jianting Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2130 - 2130

Published: Dec. 8, 2024

Coastal zones are facing intensive ecological pressures and challenges, which could vary over a wide range of spatiotemporal scales. Our limited capability to understand especially predict this variability can lead the misinterpretation coastal resilience. Therefore, assessment prediction resilience particularly important. In study, new approach based on Pressure–State–Response model is developed assess pixel-scale multi-year (ER) then applied investigate variations ER in China’s zone (CCZ) past few decades future trend under various scenarios. The results show that CCZ displayed general spatial distribution pattern “higher southern half lower northern half” from 1995 2020. Over 25-year period, exhibited declining trend. Specifically, eastern provinces experiencing most significant decline. levels across scenarios ranked high low as follows: SSP1-2.6 > SSP4-3.4 SSP2-4.5 SSP3-7.0 SSP5-8.5. methods designed be studies other zones, making it valuable for broader applications.

Language: Английский

Assessment and Prediction of Coastal Ecological Resilience Based on the Pressure–State–Response (PSR) Model DOI Creative Commons

Zhang Wan,

Chengyi Zhao,

Jianting Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(12), P. 2130 - 2130

Published: Dec. 8, 2024

Coastal zones are facing intensive ecological pressures and challenges, which could vary over a wide range of spatiotemporal scales. Our limited capability to understand especially predict this variability can lead the misinterpretation coastal resilience. Therefore, assessment prediction resilience particularly important. In study, new approach based on Pressure–State–Response model is developed assess pixel-scale multi-year (ER) then applied investigate variations ER in China’s zone (CCZ) past few decades future trend under various scenarios. The results show that CCZ displayed general spatial distribution pattern “higher southern half lower northern half” from 1995 2020. Over 25-year period, exhibited declining trend. Specifically, eastern provinces experiencing most significant decline. levels across scenarios ranked high low as follows: SSP1-2.6 > SSP4-3.4 SSP2-4.5 SSP3-7.0 SSP5-8.5. methods designed be studies other zones, making it valuable for broader applications.

Language: Английский

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