Spatial and temporal patterns of CO2 and CH4 fluxes in China's croplands in response to multifactor environmental changes
The spatial and temporal patterns of CO 2 and CH 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 mode...
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Veröffentlicht in: | Tellus. Series B, Chemical and physical meteorology Chemical and physical meteorology, 2011-04, Vol.63 (2), p.222-240 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | The spatial and temporal patterns of CO
2
and CH
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
2
uptake rate and the largest CH
4
emission rate were found in southeast region of China's croplands. Of primary influences were land-cover and land-use change, atmospheric CO
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
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. |
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ISSN: | 0280-6509 1600-0889 |
DOI: | 10.1111/j.1600-0889.2010.00522.x |