Quantifying spatially and temporally explicit CO 2 fertilization effects on global terrestrial ecosystem carbon dynamics
Abstract
Current terrestrial ecosystem models are usually driven with global average annual atmospheric carbon dioxide (CO2) concentration data at the global scale. However, high-precision CO2 measurement from eddy flux towers showed that seasonal, spatial surface atmospheric CO2 concentration differences were as large as 35 ppmv and the site-level tests indicated that the CO2 variation exhibited different effects on plant photosynthesis. Here we used a process-based ecosystem model driven with two spatially and temporally explicit CO2 data sets to analyze the atmospheric CO2 fertilization effects on the global carbon dynamics of terrestrial ecosystems from 2003 to 2010. Our results demonstrated that CO2 seasonal variation had a negative effect on plant carbon assimilation, while CO2 spatial variation exhibited a positive impact. When both CO2 seasonal and spatial effects were considered, global gross primary production and net ecosystem production were 1.7 Pg C•yr–1 and 0.08 Pg C•yr–1 higher than the simulation using uniformly distributed CO2 data set and the difference was significant in tropical and temperate evergreen broadleaf forest regions. Moreover, this study suggests that the CO2 observation network should be expanded so that the realistic CO2 variation can be incorporated into the land surface models to adequately account for CO2 fertilization effects onmore »
- Authors:
-
- Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana 47907 USA
- Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana 47907 USA, Department of Agronomy Purdue University West Lafayette Indiana 47907 USA
- Department of Global Ecology Carnegie Institution for Science Stanford California 94305 USA
- Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1271473
- Alternate Identifier(s):
- OSTI ID: 1328336; OSTI ID: 1345676
- Grant/Contract Number:
- DE‐FG02‐08ER64599; AC05-00OR22725
- Resource Type:
- Published Article
- Journal Name:
- Ecosphere
- Additional Journal Information:
- Journal Name: Ecosphere Journal Volume: 7 Journal Issue: 7; Journal ID: ISSN 2150-8925
- Publisher:
- Wiley Blackwell (John Wiley & Sons)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; atmospheric CO2; carbon dynamics; gross primary production; net ecosystem production; process-based ecosystem model
Citation Formats
Liu, Shaoqing, Zhuang, Qianlai, Chen, Min, and Gu, Lianhong. Quantifying spatially and temporally explicit CO 2 fertilization effects on global terrestrial ecosystem carbon dynamics. United States: N. p., 2016.
Web. doi:10.1002/ecs2.1391.
Liu, Shaoqing, Zhuang, Qianlai, Chen, Min, & Gu, Lianhong. Quantifying spatially and temporally explicit CO 2 fertilization effects on global terrestrial ecosystem carbon dynamics. United States. https://doi.org/10.1002/ecs2.1391
Liu, Shaoqing, Zhuang, Qianlai, Chen, Min, and Gu, Lianhong. Mon .
"Quantifying spatially and temporally explicit CO 2 fertilization effects on global terrestrial ecosystem carbon dynamics". United States. https://doi.org/10.1002/ecs2.1391.
@article{osti_1271473,
title = {Quantifying spatially and temporally explicit CO 2 fertilization effects on global terrestrial ecosystem carbon dynamics},
author = {Liu, Shaoqing and Zhuang, Qianlai and Chen, Min and Gu, Lianhong},
abstractNote = {Current terrestrial ecosystem models are usually driven with global average annual atmospheric carbon dioxide (CO2) concentration data at the global scale. However, high-precision CO2 measurement from eddy flux towers showed that seasonal, spatial surface atmospheric CO2 concentration differences were as large as 35 ppmv and the site-level tests indicated that the CO2 variation exhibited different effects on plant photosynthesis. Here we used a process-based ecosystem model driven with two spatially and temporally explicit CO2 data sets to analyze the atmospheric CO2 fertilization effects on the global carbon dynamics of terrestrial ecosystems from 2003 to 2010. Our results demonstrated that CO2 seasonal variation had a negative effect on plant carbon assimilation, while CO2 spatial variation exhibited a positive impact. When both CO2 seasonal and spatial effects were considered, global gross primary production and net ecosystem production were 1.7 Pg C•yr–1 and 0.08 Pg C•yr–1 higher than the simulation using uniformly distributed CO2 data set and the difference was significant in tropical and temperate evergreen broadleaf forest regions. Moreover, this study suggests that the CO2 observation network should be expanded so that the realistic CO2 variation can be incorporated into the land surface models to adequately account for CO2 fertilization effects on global terrestrial ecosystem carbon dynamics.},
doi = {10.1002/ecs2.1391},
journal = {Ecosphere},
number = 7,
volume = 7,
place = {United States},
year = {Mon Jul 25 00:00:00 EDT 2016},
month = {Mon Jul 25 00:00:00 EDT 2016}
}
https://doi.org/10.1002/ecs2.1391
Web of Science
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