IB-CAS  > 植被与环境变化国家重点实验室
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
ISSN0899-8418
卷号39期号:15页码:5539-5555
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
学科领域Meteorology & Atmospheric Sciences
DOI10.1002/joc.6170
收录类别SCI
语种英语
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研究方向Meteorology & Atmospheric Sciences
WOS记录号WOS:000500004200001
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1097-0088
资助机构National Aeronautics and Space AdministrationNational Aeronautics & Space Administration (NASA) ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41571327, 31700421] ; National Key Research and Development Program of China [2017YFC0503803] ; Oak Ridge National LaboratoryUnited States Department of Energy (DOE) ; Seoul National University ; University of Montana ; United States Geological SurveyUnited States Geological Survey ; Chinese Academy of SciencesChinese Academy of Sciences ; National Bureau of Statistics of China
作者邮箱yanhaon@hotmail.com
作品OA属性Bronze
引用统计
被引频次:6[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/19633
专题植被与环境变化国家重点实验室
作者单位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
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):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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