Gross Ecosystem Productivity Dominates the Control of Ecosystem Methane Flux in Rice Paddies

Hong Li, Min Zhao, Changhui Peng, Haiqiang Guo, Qing Wang and Bin Zhao
Additional contact information
Hong Li: State Key Laboratory of Coal Mine Disaster Dynamics and Control, Faculty of Architecture and Urban Planning, Chongqing University, Chongqing 400045, China
Min Zhao: Shanghai Academy of Environmental Sciences, Shanghai 200233, China
Changhui Peng: Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC C3H 3P8, Canada
Haiqiang Guo: Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, Shanghai 200433, China
Qing Wang: Shanghai Academy of Environmental Sciences, Shanghai 200233, China
Bin Zhao: Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, Shanghai 200433, China

Land, 2021, vol. 10, issue 11, 1-12

Abstract: Although rice paddy fields are one of the world’s largest anthropogenic sources of methane CH 4 , the budget of ecosystem CH 4 and its’ controls in rice paddies remain unclear. Here, we analyze seasonal dynamics of direct ecosystem-scale measurements of CH 4 flux in a rice-wheat rotation agroecosystem over 3 consecutive years. Results showed that the averaged CO 2 uptakes and CH 4 emissions in rice seasons were 2.2 and 20.9 folds of the wheat seasons, respectively. In sum, the wheat-rice rotation agroecosystem acted as a large net C sink (averaged 460.79 g C m −2 ) and a GHG (averaged 174.38 g CO 2 eq m −2 ) source except for a GHG sink in one year (2016) with a very high rice seeding density. While the linear correlation between daily CH 4 fluxes and gross ecosystem productivity (GEP) was not significant for the whole rice season, daily CH 4 fluxes were significantly correlated to daily GEP both before (R 2 : 0.52–0.83) and after the mid-season drainage (R 2 : 0.71–0.79). Furthermore, the F partial test showed that GEP was much greater than that of any other variable including soil temperature for the rice season in each year. Meanwhile, the parameters of the best-fit functions between daily CH 4 fluxes and GEP shifted between rice growth stages. This study highlights that GEP is a good predictor of daily CH 4 fluxes in rice paddies.

Keywords: CH 4 flux; eddy covariance; budget; gross ecosystem productivity; rice paddy (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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