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融合時序遙感分析的國土空間生態(tài)保護修復(fù)關(guān)鍵區(qū)識別
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國家重點研究計劃項目(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:

    國土空間生態(tài)保護修復(fù)是落實國家生態(tài)文明建設(shè)的重要措施,,也是構(gòu)建國家生態(tài)安全格局和統(tǒng)籌山水林田湖草沙系統(tǒng)治理的重要舉措,。而生態(tài)保護修復(fù)關(guān)鍵區(qū)識別,是生態(tài)保護修復(fù)規(guī)劃編制,、生態(tài)保護修復(fù)工程時空布局等系列工作的前置條件和基礎(chǔ)保障,,對國土空間生態(tài)保護修復(fù)至關(guān)重要。本文以河南省某生態(tài)保護修復(fù)工程為研究區(qū)域,,開展融合時序遙感分析的生態(tài)保護修復(fù)關(guān)鍵區(qū)識別研究和實踐,,首先,基于Google Earth Engine(GEE)云平臺,,采用Mann-Kendall方法對研究區(qū)2011—2020年時序歸一化植被指數(shù)(NDVI)開展趨勢分析,,形成時序分析結(jié)果,;其次,,基于氣象、地形,、土壤,、植被凈初級生產(chǎn)力(NPP)等數(shù)據(jù),開展基于生態(tài)系統(tǒng)服務(wù)協(xié)同和權(quán)衡計算的生態(tài)系統(tǒng)健康分析評估,,選擇生態(tài)源地,;最后,基于時序分析結(jié)果和生態(tài)源地選擇結(jié)果,,采用疊置分析,,開展生態(tài)保護修復(fù)關(guān)鍵區(qū)域識別。結(jié)果表明,,提出的“基于生態(tài)系統(tǒng)服務(wù)協(xié)同權(quán)衡計算的生態(tài)系統(tǒng)健康評估——時序遙感趨勢分析”的研究框架不僅顧及了研究區(qū)域內(nèi)“靜態(tài)”的生態(tài)系統(tǒng)服務(wù),、生態(tài)系統(tǒng)健康屬性,同時衡量了“動態(tài)”的生態(tài)系統(tǒng)變化趨勢,,可以有效識別國土空間生態(tài)保護修復(fù)關(guān)鍵區(qū),。研究成果可為國土空間生態(tài)保護修復(fù)本底調(diào)查、問題識別、規(guī)劃和工程布局等提供技術(shù)支撐,。

    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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陳元鵬,周旭,陳妍,劉巖濤,蘇香燕,張成鵬.融合時序遙感分析的國土空間生態(tài)保護修復(fù)關(guān)鍵區(qū)識別[J].農(nóng)業(yè)機械學(xué)報,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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  • 在線發(fā)布日期: 2023-07-27
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