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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
Source PublicationINTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
Volume39Issue:15Pages:5539-5555
Abstract

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.

Keywordclimate change dry/wet climate Gross primary production meteorological factors multi-model analysis
Subject AreaMeteorology & Atmospheric Sciences
DOI10.1002/joc.6170
Indexed BySCI
Language英语
WOS IDWOS:000500004200001
Citation statistics
Document Type期刊论文
Identifierhttp://ir.xtbg.org.cn/handle/353005/11593
Collection全球变化研究组
Affiliation1.[Yan, Hao
2.Cao, Yun
3.Xu, Ling-Ling
4.Wu, Men-xin
5.Cheng, Lu
6.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China
7.[Wang, Shao-Qiang
8.Zhang, Xian-Zhou
9.Liu, Yun-Fen
10.Wang, Jun-Bang
11.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China
12.[Wang, Yan-Fen
13.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China
14.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining, Qinghai, Peoples R China
15.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China
16.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China
17.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Beijing, Yunnan, Peoples R China
18.Shugart, Herman H.] Univ Virginia, Dept Environm Sci, Clark Hall, Charlottesville, VA 22903 USA
Recommended Citation
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):5539-5555.
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),5539-5555.
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):5539-5555.
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