GSTDTAP
DOI10.1002/joc.6170
Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015
Yan, Hao1,8; Wang, Shao-Qiang2; Cao, Yun1; Xu, Ling-Ling1; Wu, Men-xin1; Cheng, Lu1; Mao, Liu-Xi1; Zhang, Xian-Zhou2; Liu, Yun-Fen2; Wang, Yan-Fen3; Chen, Shi-Ping3; Li, Ying-Nian4; Han, Shi-Jie5; Zhou, Guo-Yi6; Zhang, Yi-Ping7; Shugart, Herman H.8; Wang, Jun-Bang2; Zhao, Feng-Hua2
2019-12-01
发表期刊INTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
EISSN1097-0088
出版年2019
卷号39期号:15页码:5539-5555
文章类型Article
语种英语
国家Peoples R China; USA
英文摘要

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.


英文关键词climate change dry/wet climate Gross primary production meteorological factors multi-model analysis
领域气候变化
收录类别SCI-E
WOS记录号WOS:000500004200001
WOS关键词NET PRIMARY PRODUCTIVITY ; TERRESTRIAL CARBON UPTAKE ; GROSS PRIMARY PRODUCTION ; RADIATION-USE EFFICIENCY ; COMPARING GLOBAL-MODELS ; LEAF-AREA INDEX ; INTERANNUAL VARIATIONS ; SOLAR-RADIATION ; ALPINE MEADOW ; WATER-USE
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/225486
专题环境与发展全球科技态势
作者单位1.China Meteorol Adm, Natl Meteorol Ctr, Beijing 100081, Peoples R China;
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China;
3.Chinese Acad Sci, Inst Bot, Beijing, Peoples R China;
4.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining, Qinghai, Peoples R China;
5.Chinese Acad Sci, Inst Appl Ecol, Shenyang, Liaoning, Peoples R China;
6.Chinese Acad Sci, South China Bot Garden, Guangzhou, Guangdong, Peoples R China;
7.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Beijing, Yunnan, Peoples R China;
8.Univ Virginia, Dept Environm Sci, Clark Hall, Charlottesville, VA 22903 USA
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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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