Yixuan Diao , Jun Xia , Qianjin Dong , Qiting Zuo , Mengyun Xie , Xiaofeng Peng , Long Jiang
{"title":"武汉市可持续发展的水-碳-经济耦合系统动力学与投资模型","authors":"Yixuan Diao , Jun Xia , Qianjin Dong , Qiting Zuo , Mengyun Xie , Xiaofeng Peng , Long Jiang","doi":"10.1016/j.ecolind.2025.113893","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding the interactions between water security, carbon storage, and economic and social development (WCE) is critical for achieving sustainable urbanization. This study establishes a coupled WCE system model for Wuhan, China, by integrating System Dynamics (SD) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to quantify dynamic socioeconomic processes and spatial ecological patterns. A mechanical model was further employed to quantify system coordination and assess urban sustainability. Future scenarios were simulated to identify optimal development pathways. The results showed: (1) During the historical period (2000–2020), green economic and social development enhanced resource utilization efficiency (+289%) but reduced ecological security levels (−41%). (2) WCE system coordination improved (0.45 → 0.68), while the primary constraint shifted from water scarcity to carbon storage deficit. (3) Future scenario simulations (2021–2030) indicate declining coordination under baseline scenario, whereas the low-carbon green strategy achieves optimal coordination (>0.8), significantly outperforming ecological protection and high-intensity urbanization strategies. This work provides the first quantitative assessment of WCE interactions and coordination status in megalopolises along the Yangtze River Basin, demonstrating the advantage of SD-InVEST coupling in integrating socioeconomic dynamics with ecosystem spatial processes. The proposed framework offers a scientific tool for comprehensive urban planning incorporating water-carbon-economy nexus, with the low-carbon green pathway identified as essential for enhancing sustainability.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"178 ","pages":"Article 113893"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A water-carbon-economic model coupling system dynamics and InVEST for Wuhan’s sustainability assessment\",\"authors\":\"Yixuan Diao , Jun Xia , Qianjin Dong , Qiting Zuo , Mengyun Xie , Xiaofeng Peng , Long Jiang\",\"doi\":\"10.1016/j.ecolind.2025.113893\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Understanding the interactions between water security, carbon storage, and economic and social development (WCE) is critical for achieving sustainable urbanization. This study establishes a coupled WCE system model for Wuhan, China, by integrating System Dynamics (SD) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to quantify dynamic socioeconomic processes and spatial ecological patterns. A mechanical model was further employed to quantify system coordination and assess urban sustainability. Future scenarios were simulated to identify optimal development pathways. The results showed: (1) During the historical period (2000–2020), green economic and social development enhanced resource utilization efficiency (+289%) but reduced ecological security levels (−41%). (2) WCE system coordination improved (0.45 → 0.68), while the primary constraint shifted from water scarcity to carbon storage deficit. (3) Future scenario simulations (2021–2030) indicate declining coordination under baseline scenario, whereas the low-carbon green strategy achieves optimal coordination (>0.8), significantly outperforming ecological protection and high-intensity urbanization strategies. This work provides the first quantitative assessment of WCE interactions and coordination status in megalopolises along the Yangtze River Basin, demonstrating the advantage of SD-InVEST coupling in integrating socioeconomic dynamics with ecosystem spatial processes. The proposed framework offers a scientific tool for comprehensive urban planning incorporating water-carbon-economy nexus, with the low-carbon green pathway identified as essential for enhancing sustainability.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"178 \",\"pages\":\"Article 113893\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25008234\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25008234","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
A water-carbon-economic model coupling system dynamics and InVEST for Wuhan’s sustainability assessment
Understanding the interactions between water security, carbon storage, and economic and social development (WCE) is critical for achieving sustainable urbanization. This study establishes a coupled WCE system model for Wuhan, China, by integrating System Dynamics (SD) and the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to quantify dynamic socioeconomic processes and spatial ecological patterns. A mechanical model was further employed to quantify system coordination and assess urban sustainability. Future scenarios were simulated to identify optimal development pathways. The results showed: (1) During the historical period (2000–2020), green economic and social development enhanced resource utilization efficiency (+289%) but reduced ecological security levels (−41%). (2) WCE system coordination improved (0.45 → 0.68), while the primary constraint shifted from water scarcity to carbon storage deficit. (3) Future scenario simulations (2021–2030) indicate declining coordination under baseline scenario, whereas the low-carbon green strategy achieves optimal coordination (>0.8), significantly outperforming ecological protection and high-intensity urbanization strategies. This work provides the first quantitative assessment of WCE interactions and coordination status in megalopolises along the Yangtze River Basin, demonstrating the advantage of SD-InVEST coupling in integrating socioeconomic dynamics with ecosystem spatial processes. The proposed framework offers a scientific tool for comprehensive urban planning incorporating water-carbon-economy nexus, with the low-carbon green pathway identified as essential for enhancing sustainability.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.