温带气候
物候学
环境科学
植被(病理学)
生长季节
气候变化
草原
气候学
全球变暖
降水
反照率(炼金术)
热带植被
大气科学
生态学
自然地理学
地理
热带
生物
地质学
气象学
医学
艺术
病理
表演艺术
艺术史
作者
Xiangjin Shen,Binhui Liu,Mark Henderson,Lei Wang,Ming Jiang,Xianguo Lü
出处
期刊:Journal of Climate
[American Meteorological Society]
日期:2022-08-01
卷期号:35 (15): 5103-5117
被引量:80
标识
DOI:10.1175/jcli-d-21-0325.1
摘要
Abstract Vegetation activity and phenology are significantly affected by climate change, and changes in vegetation activity and phenology can in turn affect regional or global climate patterns. As one of the world’s great biomes, temperate grasslands have undergone remarkable changes in recent decades, but the connections between vegetation activity and phenology changes and regional climate there have remained unclear. Using the observation minus reanalysis (OMR) method, this study investigated the possible effects of vegetation activity and vegetation growing season changes on air temperatures in temperate grasslands of China. The results showed that average NDVI of the temperate grassland significantly increased by 0.011 decade −1 for the growing season during 1982–2015. The growing season started earlier and ended later, resulting in an extension. Increased vegetation activity during spring and autumn significantly warmed spring and autumn air temperatures by reducing albedo. By contrast, summer greening had no significant effect on summer temperature, due to the opposing effects of decreased albedo and enhanced evapotranspiration on temperature. The earlier start and later end of the growing season contributed to warmer spring and autumn air temperatures. As phenological changes had no significant effect on summer temperature, the extended growing season warmed air temperature. Our results suggest that the climate change–induced increasing vegetation activity and extended growing seasons can further aggravate regional warming in temperate grasslands of China, implying that the effects of vegetation activity and phenology changes on regional climate should be considered in climate models for accurately simulating climate change in temperate grasslands.
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