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Spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands in response to multifactor environmental changes

Abstract

The spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands were investigated and attributed to multifactor environmental changes using the agricultural module of the Dynamic Land Ecosystem Model (DLEM), a highly integrated process-based ecosystem model. During 1980-2005 modelled results indicated that China's croplands acted as a carbon sink with an average carbon sequestration rate of 33.4 TgC yr-1 (1 Tg = 1012 g). Both the highest net CO{sub 2} uptake rate and the largest CH{sub 4} emission rate were found in southeast region of China's croplands. Of primary influences were land-cover and land-use change, atmospheric CO{sub 2} and nitrogen deposition, which accounted for 76%, 42% and 17% of the total carbon sequestration in China's croplands during the study period, respectively. The total carbon losses due to elevated ozone and climate variability/change were equivalent to 27% and 9% of the total carbon sequestration, respectively. Our further analysis indicated that nitrogen fertilizer application accounted for 60% of total national carbon uptake in cropland, whereas changes in paddy field areas mainly determined the variability of CH{sub 4} emissions. Our results suggest that improving air quality by means such as reducing ozone concentration and optimizing agronomic practices can enhance  More>>
Authors:
Ren, Wei; Tian, Hanqin; Xu, Xiaofeng; Liu, Mingliang; Lu, Chaoqun; Chen, Guangsheng; [1]  International Center for Climate and Global Change Research, Auburn Univ., Auburn (United States)), e-mail: tianhan@auburn.edu; Melillo, Jerry; [2]  Reilly, John; [3]  Liu, Jiyuan [4] 
  1. Ecosystem Dynamics and Global Ecology Laboratory, School of Forestry and Wildlife Sciences, Auburn Univ., Auburn (United States)
  2. Ecosystem Center, Marine Biological Laboratory, Woods Hole (United States)
  3. Joint Program on Science and Policy of Global Change, Massachusetts Inst. of Technology, Cambridge (United States)
  4. Inst. of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing (China)
Publication Date:
Apr 15, 2011
Product Type:
Journal Article
Resource Relation:
Journal Name: Tellus, Series B: Chemical and Physical Meteorology; Journal Volume: 63B; Journal Issue: 2; Other Information: 122 refs., 10 figs., 5 tabs.; 10.1111/J.1600-0889.2010.00522.X
Subject:
54 ENVIRONMENTAL SCIENCES; CARBON DIOXIDE; METHANE; CHINA; FARMS
OSTI ID:
1013193
Country of Origin:
Sweden
Language:
English
Other Identifying Numbers:
Journal ID: ISSN 0280-6509; TRN: SE1107106
Availability:
Available from DOI: http://dx.doi.org/10.1111/j.1600-0889.2010.00522.x
Submitting Site:
SWD
Size:
page(s) 222-240
Announcement Date:
May 16, 2011

Citation Formats

Ren, Wei, Tian, Hanqin, Xu, Xiaofeng, Liu, Mingliang, Lu, Chaoqun, Chen, Guangsheng, International Center for Climate and Global Change Research, Auburn Univ., Auburn (United States)), e-mail: tianhan@auburn.edu, Melillo, Jerry, Reilly, John, and Liu, Jiyuan. Spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands in response to multifactor environmental changes. Sweden: N. p., 2011. Web. doi:10.1111/J.1600-0889.2010.00522.X.
Ren, Wei, Tian, Hanqin, Xu, Xiaofeng, Liu, Mingliang, Lu, Chaoqun, Chen, Guangsheng, International Center for Climate and Global Change Research, Auburn Univ., Auburn (United States)), e-mail: tianhan@auburn.edu, Melillo, Jerry, Reilly, John, & Liu, Jiyuan. Spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands in response to multifactor environmental changes. Sweden. https://doi.org/10.1111/J.1600-0889.2010.00522.X
Ren, Wei, Tian, Hanqin, Xu, Xiaofeng, Liu, Mingliang, Lu, Chaoqun, Chen, Guangsheng, International Center for Climate and Global Change Research, Auburn Univ., Auburn (United States)), e-mail: tianhan@auburn.edu, Melillo, Jerry, Reilly, John, and Liu, Jiyuan. 2011. "Spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands in response to multifactor environmental changes." Sweden. https://doi.org/10.1111/J.1600-0889.2010.00522.X.
@misc{etde_1013193,
title = {Spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands in response to multifactor environmental changes}
author = {Ren, Wei, Tian, Hanqin, Xu, Xiaofeng, Liu, Mingliang, Lu, Chaoqun, Chen, Guangsheng, International Center for Climate and Global Change Research, Auburn Univ., Auburn (United States)), e-mail: tianhan@auburn.edu, Melillo, Jerry, Reilly, John, and Liu, Jiyuan}
abstractNote = {The spatial and temporal patterns of CO{sub 2} and CH{sub 4} fluxes in China's croplands were investigated and attributed to multifactor environmental changes using the agricultural module of the Dynamic Land Ecosystem Model (DLEM), a highly integrated process-based ecosystem model. During 1980-2005 modelled results indicated that China's croplands acted as a carbon sink with an average carbon sequestration rate of 33.4 TgC yr-1 (1 Tg = 1012 g). Both the highest net CO{sub 2} uptake rate and the largest CH{sub 4} emission rate were found in southeast region of China's croplands. Of primary influences were land-cover and land-use change, atmospheric CO{sub 2} and nitrogen deposition, which accounted for 76%, 42% and 17% of the total carbon sequestration in China's croplands during the study period, respectively. The total carbon losses due to elevated ozone and climate variability/change were equivalent to 27% and 9% of the total carbon sequestration, respectively. Our further analysis indicated that nitrogen fertilizer application accounted for 60% of total national carbon uptake in cropland, whereas changes in paddy field areas mainly determined the variability of CH{sub 4} emissions. Our results suggest that improving air quality by means such as reducing ozone concentration and optimizing agronomic practices can enhance carbon sequestration capacity of China's croplands}
doi = {10.1111/J.1600-0889.2010.00522.X}
journal = []
issue = {2}
volume = {63B}
place = {Sweden}
year = {2011}
month = {Apr}
}