中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
Multi-model analysis of climate impacts on plant photosynthesis in China during 2000-2015

文献类型：期刊论文

作者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
刊名INTERNATIONAL JOURNAL OF CLIMATOLOGY
出版日期2019-12-01
卷号39期号:15页码:5539-5555
ISSN号0899-8418
关键词climate change dry/wet climate Gross primary production meteorological factors multi-model analysis
DOI10.1002/joc.6170
通讯作者Yan, Hao(yanhaon@hotmail.com)
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.
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
资助项目National Aeronautics and Space Administration ; National Natural Science Foundation of China[41571327] ; National Natural Science Foundation of China[31700421] ; National Key Research and Development Program of China[2017YFC0503803] ; Oak Ridge National Laboratory ; Seoul National University ; University of Montana ; United States Geological Survey ; Chinese Academy of Sciences ; National Bureau of Statistics of China
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
出版者WILEY
WOS记录号WOS:000500004200001
资助机构National Aeronautics and Space Administration ; National Natural Science Foundation of China ; National Key Research and Development Program of China ; Oak Ridge National Laboratory ; Seoul National University ; University of Montana ; United States Geological Survey ; Chinese Academy of Sciences ; National Bureau of Statistics of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/131075]  
专题中国科学院地理科学与资源研究所
通讯作者Yan, Hao
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
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.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。