Past and future effects of climate change on spatially heterogeneous vegetation activity in China. Issue 7 (11th July 2017)

• Record Type: Journal Article
• Authors: Gao, Jiangbo; Jiao, Kewei; Wu, Shaohong; Ma, Danyang; Zhao, Dongsheng; Yin, Yunhe; Dai, Erfu
• Is Part Of: Earth's future. Volume 5:Issue 7(2017)
• Page Start: 679
• Page End: 692
• Publication Date: 2017-07-11
• Subjects: climate change -- dynamic variation -- spatial heterogeneity -- vegetation activity -- China; Environmental sciences -- Periodicals; Environmental sciences; Periodicals; 550
• DOI: 10.1002/2017EF000573
• Languages: English
• ISSNs: 2328-4277

Abstract

Abstract: Climate change is a major driver of vegetation activity but its complex ecological relationships impede research efforts. In this study, the spatial distribution and dynamic characteristics of climate change effects on vegetation activity in China from the 1980s to the 2010s and from 2021 to 2050 were investigated using a geographically weighted regression (GWR) model. The GWR model was based on combined datasets of satellite vegetation index, climate observation and projection, and future vegetation productivity simulation. Our results revealed that the significantly positive precipitation–vegetation relationship was and will be mostly distributed in North China. However, the regions with temperature‐dominated distribution of vegetation activity were and will be mainly located in South China. Due to the varying climate features and vegetation cover, the spatial correlation between vegetation activity and climate change may be altered. There will be different dominant climatic factors for vegetation activity distribution in some regions such as Northwest China, and even opposite correlations in Northeast China. Additionally, the response of vegetation activity to precipitation will move southward in the next three decades. In contrast, although the high warming rate will restrain the vegetation activity, precipitation variability could modify hydrothermal conditions for vegetation activity. This observation is exemplified in the projected future enhancement of vegetation activity in the Tibetan Plateau and weakened vegetation activity in East and Middle China. Furthermore, the vegetation in most parts of North China may adapt to an arid environment, whereas in many southern areas, vegetation will be repressed by water shortage in the future. Key Points: Spatial distribution and dynamic variation of climate change effects on vegetation activity (1980s–2050) in China were examined Geographically weighted regression included climate observation/projection and satellite vegetation index/simulated future productivity Vegetation may adapt to the environment in most North China, but will be repressed by water shortage in many southern areas in the future