4.6 Article

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

Journal

LAND
Volume 10, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/land10111186

Keywords

CH4 flux; eddy covariance; budget; gross ecosystem productivity; rice paddy

Funding

  1. National Natural Science Foundation of China [32101337]
  2. Fundamental Research Funds for the Central Universities [2021CDJQY-023]
  3. Science and Technology Commission of Shanghai Municipality [17DZ1202100, 20dz1204703]

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Rice paddy fields are significant anthropogenic sources of methane, but the ecosystem methane budget and controls in these fields are still unclear. Results show that a wheat-rice rotation agroecosystem acts as a large net carbon sink, except for one year with high rice seeding density. Daily methane fluxes are significantly correlated to gross ecosystem productivity, with parameters shifting between rice growth stages.
Although rice paddy fields are one of the world's largest anthropogenic sources of methane CH4, the budget of ecosystem CH4 and its' controls in rice paddies remain unclear. Here, we analyze seasonal dynamics of direct ecosystem-scale measurements of CH4 flux in a rice-wheat rotation agroecosystem over 3 consecutive years. Results showed that the averaged CO2 uptakes and CH4 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 CH4 fluxes and gross ecosystem productivity (GEP) was not significant for the whole rice season, daily CH4 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 CH4 fluxes and GEP shifted between rice growth stages. This study highlights that GEP is a good predictor of daily CH4 fluxes in rice paddies.

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