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
Source PublicationINTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
Volume39Issue:15Pages:5539-5555
AbstractDifferences, 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 KeywordNET 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 Research AreaMeteorology & Atmospheric Sciences
WOS IDWOS:000500004200001
PublisherWILEY
SubtypeArticle
Publication PlaceHOBOKEN
EISSN1097-0088
Funding OrganizationNational 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
Corresponding Author Emailyanhaon@hotmail.com
OABronze
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ibcas.ac.cn/handle/2S10CLM1/19633
Collection植被与环境变化国家重点实验室
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.
Files in This Item:
File Name/Size DocType Version Access License
Intl Journal of Clim(20215KB)期刊论文出版稿开放获取CC BY-NC-SAView Application Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yan, Hao]'s Articles
[Wang, Shao-Qiang]'s Articles
[Cao, Yun]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yan, Hao]'s Articles
[Wang, Shao-Qiang]'s Articles
[Cao, Yun]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yan, Hao]'s Articles
[Wang, Shao-Qiang]'s Articles
[Cao, Yun]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: Intl Journal of Climatology - 2019 - Yan - Mul.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.