基于RSEI的辽河流域生态环境动态变化、归因及分区研究
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大连民族大学

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国家自然科学基金项目(32371639);中央高校基本科研业务费(0919/140193)


Study on eco-environmental dynamics, cause and zoning over Liaohe River Basin based on RSEI
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    摘要:

    【目的】本研究旨在揭示辽河流域生态环境的时空动态变化特征及其驱动机制,并基于此构建生态管理分区框架,为区域生态环境保护和可持续发展提供科学支持。【方法】研究基于2000至2022年的遥感生态指数(Remote Sensing Ecological Index, RSEI),分析辽河流域生态环境质量的时空动态变化趋势,识别其关键驱动因子,并结合RSEI分布格局、变化趋势及驱动因子,构建了多维度的生态分区框架,完成辽河流域生态管理分区。【结果】(1)辽河流域生态环境质量呈逐年改善趋势,空间上表现为“中部差、东西优”的空间分布格局。(2)降水是RSEI空间分异的主导因素,其次为土地利用、温度、高程和坡度。(3)基于分区结果,全流域可划分为生态核心保护区、生态优化区、生态监测区、生态修复区和生态重点治理区,生态核心保护区集中于流域东部,生态重点治理区则位于流域中部。【结论】2000—2022年辽河流域的生态环境质量不断改善,降水和土地利用对其影响较大,本研究提出的多维度生态管理分区方法可为差异化生态管理提供科学依据。

    Abstract:

    [Objective] This study aims to reveal the spatiotemporal dynamics and driving mechanisms of the eco-environment in the Liaohe River Basin and establish an ecological management zoning framework to support regional ecological protection and sustainable development. [Methods] Based on the Remote Sensing Ecological Index (RSEI) from 2000 to 2022, this study analyzed the spatiotemporal dynamics in eco-environment quality, identified key driving factors, and constructed a multidimensional ecological zoning framework by integrating RSEI spatial distribution patterns, trends, and driving factors. [Results] (1) The eco-environment quality in the Liaohe River Basin has improved year by year, with a spatial pattern of "poor in the middle, excellent in the east and west." (2) Precipitation is the primary driving factor of RSEI spatial variation, followed by land use, temperature, elevation, and slope. (3) Based on the zoning results, the entire basin can be divided into ecological core protection areas, ecological optimization areas, ecological monitoring areas, ecological restoration areas, and ecological key management areas. Ecological core protection areas are concentrated in the eastern basin, while ecological key management areas are located in the central basin. [Conclusion] From 2000 to 2022, the eco-environment quality of the Liaohe River Basin improved continuously, with precipitation and land use being major influencing factors. The multidimensional ecological management zoning method proposed in this study provides a scientific basis for differentiated ecological management.

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  • 收稿日期:2024-09-26
  • 最后修改日期:2024-12-24
  • 录用日期:2024-12-24
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