Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015

NWIPB OpenIR

	Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015
	Yan, Hao; Wang, Shao-Qiang; Cao, Yun; Xu, Ling-Ling; Wu, Men-xin; Cheng, Lu; Mao, Liu-Xi; Zhang, Xian-Zhou; Liu, Yun-Fen; Wang, Yan-Fen; Chen, Shi-Ping; Li, Ying-Nian; Han, Shi-Jie; Zhou, Guo-Yi; Zhang, Yi-Ping; Shugart, Herman H.; Wang, Jun-Bang; Zhao, Feng-Hua
	2019
发表期刊	INTERNATIONAL JOURNAL OF CLIMATOLOGY
卷号	39 期号:15
摘要	Differences, arising from differences in gross primary production (GPP) model structures and driving forces, have fuelled arguments concerning interannual changes of GPP in China since 2000. To better investigate the interannual variability of GPP and its covariance with climate factors in China, this study adopted a multi-model analysis based on three GPP models (i.e., Terrestrial Ecosystem Carbon flux model [TEC], Breathing Earth System Simulator model [BESS], and MOD17 GPP model). The results show that annual GPP in China increased by 0.021-0.057 Pg C year(-1) from 2000 to 2015 attributable to atmospheric-CO2 fertilization effects and favourable climate change, that is, increasing precipitation (P-r) and temperature (T-a). However, northern China and southern China had a large difference in the amplitude of these GPP changes; annual GPP increased by 0.017-0.039 Pg C year(-1) in northern China but only 0.001-0.018 Pg C year(-1) in southern China. Northern China and southern China occupy contrasting climate zones and this contrast produced different interannual variability of GPP through different mechanisms. Northern China has a dry climate with GPP changes sensitive to P-r. As a result, more P-r along with higher T-a in northern China produced the strong uptrend of GPP from 2000 to 2015. In contrast, southern China has a wet climate with its GPP sensitive to solar radiation and T-a. For the interval of 2000-2015, decreasing radiation plus drought exerted a negative influence on GPP in southern China. This study highlights the diverse mechanisms in which climate change affects GPP in dry and wet climate zones. A robust multi-model analysis is preferred to reduce uncertainties arising from a single GPP model and its driving data.
关键词	climate change dry/wet climate Gross primary production meteorological factors multi-model analysis
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/60486
专题	中国科学院西北高原生物研究所
推荐引用方式 GB/T 7714	Yan, Hao,Wang, Shao-Qiang,Cao, Yun,et al. Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(15).
APA	Yan, Hao.,Wang, Shao-Qiang.,Cao, Yun.,Xu, Ling-Ling.,Wu, Men-xin.,...&Zhao, Feng-Hua.(2019).Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(15).
MLA	Yan, Hao,et al."Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.15(2019).