基于GEE云平台的黄土高原生态修复区植被变化与归因
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国家重点研发计划项目(2021YFE0117900)和国家自然科学基金面上项目(41871347)


Vegetation Change and Attribution in Ecological Restoration Area of Loess Plateau Based on GEE Cloud Platform
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    摘要:

    植被为地球生态系统主要构成之一,也是人类社会经济活动的重要资源,监测植被动态变化有利于区域的环境保护及生态环境建设,基于谷歌云平台GEE,集成了Sen+MK趋势分析、MK突变分析、偏相关分析、多元回归残差以及相对贡献率分析等多种统计分析方法,构建了一套自动化植被恢复综合分析体系,可用于植被变化趋势检测及归因分析。在此基础上,区分人工修复和自然恢复对植被变化的影响,以陕西省黄土高原生态修复工程实施区域之一——铜川市耀州区为例,开展生态修复区与自然恢复区植被变化趋势及归因分析。分析结果表明:耀州区1990—2020年土地覆盖格局整体呈现自东南向西北耕地逐渐减少、林地草地逐渐增加的分布特征。植被覆盖变化特征呈现以速率0.55%/a波动上升的趋势,上升突变点为2007年。气候变化和人类活动对耀州区植被变化的相对贡献率具有一定的异质性,主要受到人类活动的正向驱动,相对贡献率为79.10%,气候变化相对贡献率为15.22%。在植被改善区域,应归因于以人类活动主导的生态修复工程,生态修复工程实施治理效果较好;在植被退化区域,主要为气候变化和人类活动的共同影响。

    Abstract:

    Vegetation is one of the main components of the earth’s ecosystem and an important resource for human social and economic activities. Monitoring the dynamic change of vegetation is conducive to regional environmental protection and ecological environment construction. Based on GEE, multiple statistical analysis methods such as Sen+MK trend analysis, MK mutation analysis, partial correlation analysis, multiple regression residual and relative contribution rate analysis were integrated, and an automated comprehensive analysis system of vegetation restoration was constructed, which can be used for vegetation change trend detection and attribution analysis. On this basis, taking Yaozhou District, Tongchuan City, one of the implementation areas of ecological restoration project on the Loess Plateau in Shaanxi Province as an example, the impact of artificial restoration and natural restoration on vegetation change was distinguished to carry out vegetation change trend and attribution analysis in ecological restoration and natural restoration areas. The analysis results showed that from 1990 to 2020, the overall land cover pattern in Yaozhou District showed the distribution characteristics of gradual decrease of cultivated land and gradual increase of forest land and grassland from southeast to northwest. The change characteristics of vegetation cover was fluctuated and increased at the rate of 055%/a, and the sudden change point was appeared about in 2007. The growth rate of NDVI in ecological restoration project area was slightly higher than that in natural regeneration area. The relative contribution rate of climate change and human activities to vegetation change in Yaozhou District was heterogeneous, which was mainly driven by human activities. The relative contribution rate of human activities was 79.10%, and the relative contribution rate of climate change was 15.22%. In the vegetation improvement area, it should be attributed to the ecological restoration project dominated by human activities, and the implementation effect of ecological restoration project was good. In the area of vegetation degradation, it was mainly the joint impact of climate change and human activities.

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王力,赵思妍,陈元鹏,张阳坚,周泉.基于GEE云平台的黄土高原生态修复区植被变化与归因[J].农业机械学报,2023,54(3):210-223. WANG Li, ZHAO Siyan, CHEN Yuanpeng, ZHANG Yangjian, ZHOU Quan. Vegetation Change and Attribution in Ecological Restoration Area of Loess Plateau Based on GEE Cloud Platform[J]. Transactions of the Chinese Society for Agricultural Machinery,2023,54(3):210-223.

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  • 收稿日期:2022-05-12
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  • 在线发布日期: 2023-03-10
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