LiZhaoPengEtAl2021

Référence

Li, H., Zhao, M., Peng, C., Guo, H., Wang, Q., Zhao, B. (2021) Gross ecosystem productivity dominates the control of ecosystem methane flux in rice paddies. Land, 10(11). (Scopus )

Résumé

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 CO2eq 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 (R2: 0.52–0.83) and after the mid-season drainage (R2: 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

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@ARTICLE { LiZhaoPengEtAl2021,
    AUTHOR = { Li, H. and Zhao, M. and Peng, C. and Guo, H. and Wang, Q. and Zhao, B. },
    JOURNAL = { Land },
    TITLE = { Gross ecosystem productivity dominates the control of ecosystem methane flux in rice paddies },
    YEAR = { 2021 },
    NOTE = { cited By 0 },
    NUMBER = { 11 },
    VOLUME = { 10 },
    ABSTRACT = { 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 CO2eq 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 (R2: 0.52–0.83) and after the mid-season drainage (R2: 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. },
    AFFILIATION = { State Key Laboratory of Coal Mine Disaster Dynamics and Control, Faculty of Architecture and Urban Planning, Chongqing University, Chongqing, 400045, China; Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, QC C3H 3P8, Canada; Shanghai Academy of Environmental Sciences, Shanghai, 200233, China; 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 },
    ART_NUMBER = { 1186 },
    AUTHOR_KEYWORDS = { Budget; CH4 flux; Eddy covariance; Gross ecosystem productivity; Rice paddy },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.3390/land10111186 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118890540&doi=10.3390%2fland10111186&partnerID=40&md5=f44f4853c3e87174524f78f39c5d143c },
}

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