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Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019 |
论文题目: | Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019 | 英文论文题目: | Spatiotemporal Change of Marsh Vegetation and Its Response to Climate Change in China From 2000 to 2019 | 第一作者: | 神祥金 | 英文第一作者: | shenxiangjin | 联系作者: | 神祥金 | 英文联系作者: | shenxiangjin | 外单位作者单位: | | 英文外单位作者单位: | | 发表年度: | 2021 | 卷: | 126 | 期: | 2 | 页码: | | 摘要: | China has the third largest area of marshes in the world. Understanding the change of marsh, vegetation and its response to climate change in China is important for the protection of wetland ecosystem. Based on the climate and normalized difference vegetation index (NDVI) data, we investigated the spatiotemporal variation in vegetation and its response to climate change for different types of marshes in China. The results indicated that growing season NDVI increased significantly (0.02/decade, P < 0.01) over the whole marshes of China from 2000 to 2019. The increased precipitation and minimum temperature during the growing season could promote the growth of marsh vegetation over China. This study found for the first time that the increase of temperature during the day and at night had asymmetric effects on vegetation growth in marshes of China, and the positive effect of night warming was more significant. Spatially, increasing growing season precipitation was beneficial to the vegetation growth of herbaceous marshes, marsh meadows, inland salt marshes, and seasonal saltwater marshes in eastern Inner Mongolia. Increased growing season minimum temperature could greatly promote the vegetation growth of marsh meadows, herbaceous marshes, inland salt marshes, forest swamp, and bush swamp in cold and high-altitude regions of Northern Northeast China and the Tibet Plateau. In the context of global climate change, more attention should be paid to the different responses of vegetation to climate change for different marsh types, especially when we use the model to simulate the impact of climate change on vegetation in different marsh regions of China. | 英文摘要: | China has the third largest area of marshes in the world. Understanding the change of marsh, vegetation and its response to climate change in China is important for the protection of wetland ecosystem. Based on the climate and normalized difference vegetation index (NDVI) data, we investigated the spatiotemporal variation in vegetation and its response to climate change for different types of marshes in China. The results indicated that growing season NDVI increased significantly (0.02/decade, P < 0.01) over the whole marshes of China from 2000 to 2019. The increased precipitation and minimum temperature during the growing season could promote the growth of marsh vegetation over China. This study found for the first time that the increase of temperature during the day and at night had asymmetric effects on vegetation growth in marshes of China, and the positive effect of night warming was more significant. Spatially, increasing growing season precipitation was beneficial to the vegetation growth of herbaceous marshes, marsh meadows, inland salt marshes, and seasonal saltwater marshes in eastern Inner Mongolia. Increased growing season minimum temperature could greatly promote the vegetation growth of marsh meadows, herbaceous marshes, inland salt marshes, forest swamp, and bush swamp in cold and high-altitude regions of Northern Northeast China and the Tibet Plateau. In the context of global climate change, more attention should be paid to the different responses of vegetation to climate change for different marsh types, especially when we use the model to simulate the impact of climate change on vegetation in different marsh regions of China. | 刊物名称: | Journal of Geophysical Research-Biogeosciences | 英文刊物名称: | Journal of Geophysical Research-Biogeosciences | 论文全文: | | 英文论文全文: | | 全文链接: | | 其它备注: | | 英文其它备注: | | 学科: | | 英文学科: | | 影响因子: | | 第一作者所在部门: | | 英文第一作者所在部门: | | 论文出处: | | 英文论文出处: | | 论文类别: | | 英文论文类别: | | 参与作者: | X. J. Shen, B. H. Liu, M. Jiang, Y. J. Wang, L. Wang, J. Q. Zhang and X. G. Lu | 英文参与作者: | X. J. Shen, B. H. Liu, M. Jiang, Y. J. Wang, L. Wang, J. Q. Zhang and X. G. Lu |
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