Moisture-induced greening of the South Asia over the past three decades

被引:62
作者
Wang, Xiaoyi [1 ]
Wang, Tao [1 ,2 ]
Liu, Dan [1 ]
Guo, Hui [1 ]
Huang, Huabing [3 ]
Zhao, Yutong [1 ]
机构
[1] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China
[2] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing, Peoples R China
[3] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
CMIP5; NDVI; soil moisture; South Asia; vegetation greening; NET PRIMARY PRODUCTION; CLIMATE-CHANGE; SUMMER MONSOON; INTERANNUAL VARIABILITY; VEGETATION DYNAMICS; ATMOSPHERIC DEMAND; CANOPY STRUCTURE; SOIL-MOISTURE; LAND-SURFACE; RAIN-FOREST;
D O I
10.1111/gcb.13762
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
South Asia experienced a weakening of summer monsoon circulation in the past several decades, resulting in rainfall decline in wet regions. In comparison with other tropical ecosystems, quantitative assessments of the extent and triggers of vegetation change are lacking in assessing climate-change impacts over South Asia dominated by crops. Here, we use satellite-based Normalized Difference Vegetation Index (NDVI) to quantify spatial-temporal changes in vegetation greenness, and find a widespread annual greening trend that stands in contrast to the weakening of summer monsoon circulation particularly over the last decade. We further show that moisture supply is the primary factor limiting vegetation activity during dry season or in dry region, and cloud cover or temperature would become increasingly important in wet region. Enhanced moisture conditions over dry region, coinciding with the decline in monsoon, are mainly responsible for the widespread greening trend. This result thereby cautions the use of a unified monsoon index to predict South Asia's vegetation dynamics. Current climate-carbon models in general correctly reproduce the dominant control of moisture in the temporal characteristics of vegetation productivity. But the model ensemble cannot exactly reproduce the spatial pattern of satellite-based vegetation change mainly because of biases in climate simulations. The moisture-induced greening over South Asia, which is likely to persist into the wetter future, has significant implications for regional carbon cycling and maintaining food security.
引用
收藏
页码:4995 / 5005
页数:11
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