文献类型： 外文期刊

第一作者： Liu Yifeng

作者： Liu Yifeng;Guo Bing;Guo Bing;Guo Bing;Guo Bing;Zang Wenqian;Yu Tao;Guo Bing;Lu Miao;Zang Wenqian;Yu Tao;Yu Tao;Chen Donghua

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关键词： vegetation evolution; driving mechanisms; climate change; human activities; relative actions; Geodetector; Yellow River Basin

期刊名称：JOURNAL OF ARID LAND （ 影响因子：2.483； 五年影响因子：2.807 ）

ISSN： 1674-6767

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收录情况： SCI

摘要： Under the combined influence of climate change and human activities, vegetation ecosystem has undergone profound changes. It can be seen that there are obvious differences in the evolution patterns and driving mechanisms of vegetation ecosystem in different historical periods. Therefore, it is urgent to identify and reveal the dominant factors and their contribution rates in the vegetation change cycle. Based on the data of climate elements (sunshine hours, precipitation and temperature), human activities (population intensity and GDP intensity) and other natural factors (altitude, slope and aspect), this study explored the spatial and temporal evolution patterns of vegetation NDVI in the Yellow River Basin of China from 1989 to 2019 through a residual method, a trend analysis, and a gravity center model, and quantitatively distinguished the relative actions of climate change and human activities on vegetation evolution based on Geodetector model. The results showed that the spatial distribution of vegetation NDVI in the Yellow River Basin showed a decreasing trend from southeast to northwest. During 1981-2019, the temporal variation of vegetation NDVI showed an overall increasing trend. The gravity centers of average vegetation NDVI during the study period was distributed in Zhenyuan County, Gansu Province, and the center moved northeastwards from 1981 to 2019. During 1981-2000 and 2001-2019, the proportion of vegetation restoration areas promoted by the combined action of climate change and human activities was the largest. During the study period (1981-2019), the dominant factors influencing vegetation NDVI shifted from natural factors to human activities. These results could provide decision support for the protection and restoration of vegetation ecosystem in the Yellow River Basin.

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