高原(数学)
归一化差异植被指数
植被(病理学)
环境科学
自然地理学
气候学
异常(物理)
增强植被指数
植被指数
气候变化
地理
地质学
医学
数学分析
海洋学
物理
数学
病理
凝聚态物理
作者
Caixia Dong,Xufeng Wang,Youhua Ran,Zain Nawaz
出处
期刊:Remote Sensing
[MDPI AG]
日期:2022-05-17
卷期号:14 (10): 2402-2402
被引量:12
摘要
In recent years, heatwaves have been reported frequently by literature and the media on the Tibetan Plateau. However, it is unclear how alpine vegetation responds to the heatwaves on the Tibetan Plateau. This study aimed to identify the heatwaves using long-term meteorological data and examine the impact of heatwaves on vegetation growth rate with remote sensing data. The results indicated that heatwaves frequently occur in June, July, and August on the Tibetan Plateau. The average frequency of heatwaves had no statistically significant trends from 2000 to 2020 for the entire Tibetan Plateau. On a monthly scale, the average frequency of heatwaves increased significantly (p < 0.1) in August, while no significant trends were in June and July. The intensity of heatwaves indicated a negative correlation with the vegetation growth rate anomaly (ΔVGR) calculated from the normalized difference vegetation index (NDVI) (r = −0.74, p < 0.05) and the enhanced vegetation index (EVI) (r = −0.61, p < 0.1) on the Tibetan Plateau, respectively. Both NDVI and EVI consistently demonstrate that the heatwaves slow the vegetation growth rate. This study outlines the importance of heatwaves to vegetation growth to enrich our understanding of alpine vegetation response to increasing extreme weather events under the background of climate change.
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