RS与GIS技术在流域-河口系统生态安全评估中的应用进展及趋势

    Advancements and Trends in the Application of Remote Sensing and GIS Technologies in the Ecological Security Assessment of Watershed-estuary Ecosystems

    • 摘要: 流域-河口系统是从流域源头到河口及其周边区域所形成的复杂生态网络, 包括河流、湖泊、湿地、三角洲、沿海湿地和近岸海域等。近年来, 由于城市化、工业化和农业活动的加剧, 以及气候变化和基础设施建设等因素, 流域-河口系统面临着水体污染、栖息地破碎化、生态系统健康恶化以及生物多样性丧失等严峻的生态安全问题, 已成为制约区域社会经济发展的重要因素之一。遥感(RS)与地理信息系统(GIS)技术作为现代生态环境监测和管理的有效工具, 能够提供大范围、高分辨率的地理、生物和环境数据, 显著提高生态安全评估的准确性和时效性。本文综述了RS与GIS技术在流域-河口系统生态安全评估中的具体应用, 包括生态系统健康(EH)、生态系统服务价值(ESV)和生态风险(ER)评估3个方面, 并概述了RS与GIS技术综合应用中所使用的主要数据源及评估模型, 探讨了RS与GIS技术的应用现状及面临的挑战, 并提出了未来技术创新和跨学科合作的建议。通过多源数据的融合与智能化分析, 提升生态安全评估的科学性和实用性, 为生态环境保护和可持续发展提供科学依据。

       

      Abstract: Watershed-estuarine systems represent complex ecological network that extends from headwaters to estuaries and adjacent areas, encompassing rivers, lakes, wetlands, deltas, coastal marshes, and nearshore marine zones. In recent years, these ecosystems have faced severe ecological security issues, including water pollution, habitat fragmentation, ecosystem health deterioration, and biodiversity loss. These issues are primarily driven by urbanization, industrialization, agricultural activities, climate change, and infrastructure development, and have significantly constrained regional socio-economic development. Remote sensing (RS) and geographic information systems (GIS), as effective tools for modern ecological environment monitoring and management, offer extensive, high-resolution geographic, biological, and environmental data, significantly enhancing the accuracy and timeliness of ecological security assessments. This paper reviews the applications of RS and GIS technologies for assessing the ecological security of watershed-estuarine ecosystems, focusing on three key aspects: ecological health (EH), ecosystem service values (ESV), and ecological risk(ER), and outlines the main data sources and assessment models used in the integrated application of RS and GIS. Furthermore, the current state of RS and GIS application, challenges, and future directions for technological innovation and interdisciplinary collaboration are discussed. By integrating multi-source data and intelligent analysis, we aim to improve the scientific basis and practical effectiveness of ecological security assessments, providing a scientific basis for ecological protection and sustainable development.

       

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