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Title: Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China

Abstract

Climate change, rising CO2 concentration, and landuse and land cover change (LULCC) are primary driving forces for terrestrialgross primary productivity (GPP), but their impacts on the temporal changesin GPP are uncertain. In this study, the effects of the three main factorson the interannual variation (IAV) and seasonal cycle amplitude (SCA) of GPPin China were investigated using 12 terrestrial biosphere models from theMulti-scale Synthesis and Terrestrial Model Intercomparison Project. Thesimulated ensemble mean value of China's GPP between 1981 and 2010, drivenby common climate forcing, LULCC and CO2 data, was found to be7.4±1.8 Pg C yr-1. In general, climate was the dominant controlfactor of the annual trends, IAV and seasonality of China's GPP. Theoverall rising CO2 led to enhanced plant photosynthesis, thusincreasing annual mean and IAV of China's total GPP, especially innortheastern and southern China, where vegetation is dense. LULCC decreasedthe IAV of China's total GPP by ~7%, whereas rising CO2 induced an increase of 8 %. Compared to climate change andelevated CO2, LULCC showed less contributions to GPP's temporalvariation, and its impact acted locally, mainly in southwestern China.Furthermore, this study also examined subregional contributions to thetemporal changes in China's total GPP. Southern and southeastern Chinashowed higher contributions to China's annual GPP,more » whereas southwestern andcentral parts of China explained larger fractions of the IAV in China's GPP.« less

Authors:
ORCiD logo [1];  [2];  [3]; ORCiD logo [3];  [4]; ORCiD logo [2]; ORCiD logo [5];  [6]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [6]; ORCiD logo [8]; ORCiD logo [9]; ORCiD logo [10];  [11]
  1. Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG); Jinan Univ., Guangzhou, Guangdong (China); Univ. of Illinois at Urbana-Champaign, IL (United States)
  2. Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG)
  3. Univ. of Illinois at Urbana-Champaign, IL (United States)
  4. Northern Arizona Univ., Flagstaff, AZ (United States)
  5. Chinese Academy of Sciences (CAS), Beijing (China). State Key Lab. of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics (LASG); Univ. of Maryland, College Park, MD (United States)
  6. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Environmental Sciences Division, Climate Change Science Inst.
  7. National Inst. for Environmental Studies, Tsukuba (Japan). Center for Global Environmental Research
  8. Auburn Univ., AL (United States)
  9. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  10. Univ. of Maine, Orono, ME (United States)
  11. Univ. of Colorado, Boulder, CO (United States). Cooperative Inst.e for Research in Environmental Sciences, National Snow and Ice Data Center
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1632063
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Earth System Dynamics (Online)
Additional Journal Information:
Journal Name: Earth System Dynamics (Online); Journal Volume: 11; Journal Issue: 1; Journal ID: ISSN 2190-4987
Publisher:
European Geosciences Union
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES

Citation Formats

Jia, Binghao, Luo, Xin, Cai, Ximing, Jain, Atul, Huntzinger, Deborah N., Xie, Zhenghui, Zeng, Ning, Mao, Jiafu, Shi, Xiaoying, Ito, Akihiko, Wei, Yaxing, Tian, Hanqin, Poulter, Benjamin, Hayes, Dan, and Schaefer, Kevin. Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China. United States: N. p., 2020. Web. doi:10.5194/esd-11-235-2020.
Jia, Binghao, Luo, Xin, Cai, Ximing, Jain, Atul, Huntzinger, Deborah N., Xie, Zhenghui, Zeng, Ning, Mao, Jiafu, Shi, Xiaoying, Ito, Akihiko, Wei, Yaxing, Tian, Hanqin, Poulter, Benjamin, Hayes, Dan, & Schaefer, Kevin. Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China. United States. doi:https://doi.org/10.5194/esd-11-235-2020
Jia, Binghao, Luo, Xin, Cai, Ximing, Jain, Atul, Huntzinger, Deborah N., Xie, Zhenghui, Zeng, Ning, Mao, Jiafu, Shi, Xiaoying, Ito, Akihiko, Wei, Yaxing, Tian, Hanqin, Poulter, Benjamin, Hayes, Dan, and Schaefer, Kevin. Mon . "Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China". United States. doi:https://doi.org/10.5194/esd-11-235-2020. https://www.osti.gov/servlets/purl/1632063.
@article{osti_1632063,
title = {Impacts of land use change and elevated CO2 on the interannual variations and seasonal cycles of gross primary productivity in China},
author = {Jia, Binghao and Luo, Xin and Cai, Ximing and Jain, Atul and Huntzinger, Deborah N. and Xie, Zhenghui and Zeng, Ning and Mao, Jiafu and Shi, Xiaoying and Ito, Akihiko and Wei, Yaxing and Tian, Hanqin and Poulter, Benjamin and Hayes, Dan and Schaefer, Kevin},
abstractNote = {Climate change, rising CO2 concentration, and landuse and land cover change (LULCC) are primary driving forces for terrestrialgross primary productivity (GPP), but their impacts on the temporal changesin GPP are uncertain. In this study, the effects of the three main factorson the interannual variation (IAV) and seasonal cycle amplitude (SCA) of GPPin China were investigated using 12 terrestrial biosphere models from theMulti-scale Synthesis and Terrestrial Model Intercomparison Project. Thesimulated ensemble mean value of China's GPP between 1981 and 2010, drivenby common climate forcing, LULCC and CO2 data, was found to be7.4±1.8 Pg C yr-1. In general, climate was the dominant controlfactor of the annual trends, IAV and seasonality of China's GPP. Theoverall rising CO2 led to enhanced plant photosynthesis, thusincreasing annual mean and IAV of China's total GPP, especially innortheastern and southern China, where vegetation is dense. LULCC decreasedthe IAV of China's total GPP by ~7%, whereas rising CO2 induced an increase of 8 %. Compared to climate change andelevated CO2, LULCC showed less contributions to GPP's temporalvariation, and its impact acted locally, mainly in southwestern China.Furthermore, this study also examined subregional contributions to thetemporal changes in China's total GPP. Southern and southeastern Chinashowed higher contributions to China's annual GPP, whereas southwestern andcentral parts of China explained larger fractions of the IAV in China's GPP.},
doi = {10.5194/esd-11-235-2020},
journal = {Earth System Dynamics (Online)},
number = 1,
volume = 11,
place = {United States},
year = {2020},
month = {3}
}

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