Quantifying spatially and temporally explicit CO2 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 diffe...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-07-01
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| Series: | Ecosphere |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/ecs2.1391 |
| _version_ | 1811209892587896832 |
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| author | Shaoqing Liu Qianlai Zhuang Min Chen Lianhong Gu |
| author_facet | Shaoqing Liu Qianlai Zhuang Min Chen Lianhong Gu |
| author_sort | Shaoqing Liu |
| collection | DOAJ |
| description | 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. 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. |
| first_indexed | 2024-04-12T04:46:42Z |
| format | Article |
| id | doaj.art-4a72174c6e5942198caea2bf05832b19 |
| institution | Directory Open Access Journal |
| issn | 2150-8925 |
| language | English |
| last_indexed | 2024-04-12T04:46:42Z |
| publishDate | 2016-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Ecosphere |
| spelling | doaj.art-4a72174c6e5942198caea2bf05832b192022-12-22T03:47:28ZengWileyEcosphere2150-89252016-07-0177n/an/a10.1002/ecs2.1391Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamicsShaoqing Liu0Qianlai Zhuang1Min Chen2Lianhong Gu3Department of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana 47907 USADepartment of Earth, Atmospheric, and Planetary Sciences Purdue University West Lafayette Indiana 47907 USADepartment of Global Ecology Carnegie Institution for Science Stanford California 94305 USAEnvironmental Sciences Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USAAbstract 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. 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.https://doi.org/10.1002/ecs2.1391atmospheric CO2carbon dynamicsgross primary productionnet ecosystem productionprocess‐based ecosystem model |
| spellingShingle | Shaoqing Liu Qianlai Zhuang Min Chen Lianhong Gu Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics Ecosphere atmospheric CO2 carbon dynamics gross primary production net ecosystem production process‐based ecosystem model |
| title | Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| title_full | Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| title_fullStr | Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| title_full_unstemmed | Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| title_short | Quantifying spatially and temporally explicit CO2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| title_sort | quantifying spatially and temporally explicit co2 fertilization effects on global terrestrial ecosystem carbon dynamics |
| topic | atmospheric CO2 carbon dynamics gross primary production net ecosystem production process‐based ecosystem model |
| url | https://doi.org/10.1002/ecs2.1391 |
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