Influence of climatic factors on variation in the Normalised Difference Vegetation Index in Mongolian Plateau grasslands

文献类型： 外文期刊

第一作者： Cao, Xu-Juan

作者： Cao, Xu-Juan;Gao, Qing-Zhu;Hasbagan, Ganjurjav;Liang, Yan;Li, Wen-Han;Hu, Guo-Zheng;Cao, Xu-Juan;Gao, Qing-Zhu;Hasbagan, Ganjurjav;Liang, Yan;Li, Wen-Han;Hu, Guo-Zheng

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关键词： climate variation; cloud; GIMMS; potential evapotranspiration; precipitation; temperature

期刊名称：RANGELAND JOURNAL （ 影响因子：1.09； 五年影响因子：1.51 ）

ISSN： 1036-9872

年卷期： 2018 年 40 卷 2 期

页码：

收录情况： SCI

摘要： Climate change will affect how the Normalised Difference Vegetation Index (NDVI), which is correlated with climate factors, varies in space and over time. The Mongolian Plateau is an arid and semi-arid area, 64% covered by grassland, which is extremely sensitive to climate change. Its climate has shown a warming and drying trend at both annual and seasonal scales. We analysed NDVI and climate variation characteristics and the relationships between them for Mongolian Plateau grasslands from 1981 to 2013. The results showed spatial and temporal differences in the variation of NDVI. Precipitation showed the strongest correlation with NDVI (43% of plateau area correlated with total annual precipitation and 44% with total precipitation in the growing season, from May to September), followed by potential evapotranspiration (27% annual, and 30% growing season), temperature (7% annual, 16% growing season) and cloud cover (10% annual, 12% growing season). These findings confirm that moisture is the most important limiting factor for grassland vegetation growth on the Mongolian Plateau. Changes in land use help to explain variations in NDVI in 40% of the plateau, where no correlation with climate factors was found. Our results indicate that vegetation primary productivity will decrease if warming and drying trends continue but decreases will be less substantial if further warming, predicted as highly likely, is not accompanied by further drying, for which predictions are less certain. Continuing spatial and temporal variability can be expected, including as a result of land use changes.

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