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![]() | |
2019 | |
Source Publication | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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ISSN | 0899-8418 |
Volume | 39Issue: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. |
Keyword | climate change dry/wet climate Gross primary production meteorological factors multi-model analysis |
Subject Area | Meteorology & Atmospheric Sciences |
DOI | 10.1002/joc.6170 |
Indexed By | SCI |
Language | 英语 |
WOS ID | WOS:000500004200001 |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | https://ir.xtbg.ac.cn/handle/353005/11593 |
Collection | 全球变化研究组 |
Affiliation | 1.[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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