融合时序遥感分析的国土空间生态保护修复关键区识别
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国家重点研究计划项目(2022YFF1303205)


Identification of Key Areas for Ecological Protection and Restoration in National Land Space by Integrating Timeseries Remote Sensing Analysis
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    摘要:

    国土空间生态保护修复是落实国家生态文明建设的重要措施,也是构建国家生态安全格局和统筹山水林田湖草沙系统治理的重要举措。而生态保护修复关键区识别,是生态保护修复规划编制、生态保护修复工程时空布局等系列工作的前置条件和基础保障,对国土空间生态保护修复至关重要。本文以河南省某生态保护修复工程为研究区域,开展融合时序遥感分析的生态保护修复关键区识别研究和实践,首先,基于Google Earth Engine(GEE)云平台,采用Mann-Kendall方法对研究区2011—2020年时序归一化植被指数(NDVI)开展趋势分析,形成时序分析结果;其次,基于气象、地形、土壤、植被净初级生产力(NPP)等数据,开展基于生态系统服务协同和权衡计算的生态系统健康分析评估,选择生态源地;最后,基于时序分析结果和生态源地选择结果,采用叠置分析,开展生态保护修复关键区域识别。结果表明,提出的“基于生态系统服务协同权衡计算的生态系统健康评估——时序遥感趋势分析”的研究框架不仅顾及了研究区域内“静态”的生态系统服务、生态系统健康属性,同时衡量了“动态”的生态系统变化趋势,可以有效识别国土空间生态保护修复关键区。研究成果可为国土空间生态保护修复本底调查、问题识别、规划和工程布局等提供技术支撑。

    Abstract:

    Ecological protection and restoration of the national land space is an important grasp of implementation of national ecological civilization construction, as well as construction of national ecological security pattern and coordination of mountain, water, forest, lake, grass and sand system management important initiatives. The identification of ecological protection and restoration key areas is the precondition and basic guarantee for the preparation of ecological protection and restoration planning, spatial and temporal layout of ecological protection and restoration projects and other series of work, which is crucial to the ecological protection and restoration of the national land space. Therefore, taking an ecological protection and restoration project in Henan Province as the research area, the research and practice of ecological protection and restoration key area identification integrating time-series remote sensing analysis was carried out. Firstly, based on the Google Earth Engine (GEE) cloud platform, the Mann-Kendall method was used to carry out trend analysis of the study area from 2011 to 2020 time-series NDVI and form the time-series analysis results. Secondly, based on meteorological, soil, topographic and NPP data, an ecosystem health analysis and assessment based on ecosystem service synergy and trade-off calculation was carried out to select ecological source sites. Finally, based on the results of time-series analysis and ecological source site selection, superposition analysis was used to carry out the identification of key areas for ecological protection and restoration. The results showed that the proposed research framework of “ecosystem health assessment based on synergistic trade-off calculation of ecosystem services—timeseries remote sensing trend analysis” proposed not only considered the “static” ecosystem services and ecosystem health attributes in the study area, but also measured the “dynamic” ecosystem change trends. It can effectively identify key areas for ecological protection and restoration in the national space. The results of the study can provide technical support for the background survey, problem identification, planning and engineering layout of ecological protection and restoration in the national land space.

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陈元鹏,周旭,陈妍,刘岩涛,苏香燕,张成鹏.融合时序遥感分析的国土空间生态保护修复关键区识别[J].农业机械学报,2023,54(10):161-170. CHEN Yuanpeng, ZHOU Xu, CHEN Yan, LIU Yantao, SU Xiangyan, ZHANG Chengpeng. Identification of Key Areas for Ecological Protection and Restoration in National Land Space by Integrating Timeseries Remote Sensing Analysis[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(10):161-170.

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  • 收稿日期:2023-06-30
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  • 在线发布日期: 2023-07-27
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