LiGuoHelbigEtAl2019

Reference

Li, H., Guo, H.-Q., Helbig, M., Dai, S.-Q., Zhang, M.-S., Zhao, M., Peng, C., Xiao, X.-M., Zhao, B. (2019) Does direct-seeded rice decrease ecosystem-scale methane emissions?—A case study from a rice paddy in southeast China. Agricultural and Forest Meteorology, 272-273:118-127. (Scopus )

Abstract

Rice paddy fields are one of the world's largest anthropogenic sources of methane (CH 4 ). With the largest area of rice paddy fields, China is experiencing a rapid shift from conventional seedling-transplanted rice (TPR) to direct-seeded rice (DSR) due to efforts to introduce labor-saving practices. However, the potential effect of this change on agricultural ecosystem CH 4 flux (F CH4 ) are less studied and remain poorly understood. Here, we analyze F CH4 measured with the eddy covariance technique over a rice paddy where TPR was applied in 2013 and DSR in 2016. Meteorological conditions (i.e., friction velocity, radiation and temperature) between the two growing seasons were similar. However, compared to the TPR system, cumulative CH 4 emissions in the DSR system were 25% higher (610.5 ± 73.3 vs 488.8 ± 56.2 kg CH 4 ha −1 ). The increase in CH 4 emissions mainly occurred during the flooding periods (i.e. DOY 173–203 and 222–260). After eliminating the effect of differences in weather conditions and water management practices between the TPR and DSR systems, daily CH 4 emissions in the DSR system remained significantly higher than in the TPR system. Gross ecosystem productivity (GEP) and rice density were higher in the DSR system than in the TPR system. Cross correlation and wavelet coherence analyses showed that F CH4 were significantly correlated to GEP. Thus, increased CH 4 emissions in the DSR system are most likely due to greater GEP, which was associated with higher rice plant density. With the rapid development of DSR, a scientifically sound reduced seeding density could be a promising strategy to reduce CH 4 emissions. © 2019 Elsevier B.V.

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@ARTICLE { LiGuoHelbigEtAl2019,
    AUTHOR = { Li, H. and Guo, H.-Q. and Helbig, M. and Dai, S.-Q. and Zhang, M.-S. and Zhao, M. and Peng, C. and Xiao, X.-M. and Zhao, B. },
    TITLE = { Does direct-seeded rice decrease ecosystem-scale methane emissions?—A case study from a rice paddy in southeast China },
    JOURNAL = { Agricultural and Forest Meteorology },
    YEAR = { 2019 },
    VOLUME = { 272-273 },
    PAGES = { 118-127 },
    NOTE = { cited By 0 },
    ABSTRACT = { Rice paddy fields are one of the world's largest anthropogenic sources of methane (CH 4 ). With the largest area of rice paddy fields, China is experiencing a rapid shift from conventional seedling-transplanted rice (TPR) to direct-seeded rice (DSR) due to efforts to introduce labor-saving practices. However, the potential effect of this change on agricultural ecosystem CH 4 flux (F CH4 ) are less studied and remain poorly understood. Here, we analyze F CH4 measured with the eddy covariance technique over a rice paddy where TPR was applied in 2013 and DSR in 2016. Meteorological conditions (i.e., friction velocity, radiation and temperature) between the two growing seasons were similar. However, compared to the TPR system, cumulative CH 4 emissions in the DSR system were 25% higher (610.5 ± 73.3 vs 488.8 ± 56.2 kg CH 4 ha −1 ). The increase in CH 4 emissions mainly occurred during the flooding periods (i.e. DOY 173–203 and 222–260). After eliminating the effect of differences in weather conditions and water management practices between the TPR and DSR systems, daily CH 4 emissions in the DSR system remained significantly higher than in the TPR system. Gross ecosystem productivity (GEP) and rice density were higher in the DSR system than in the TPR system. Cross correlation and wavelet coherence analyses showed that F CH4 were significantly correlated to GEP. Thus, increased CH 4 emissions in the DSR system are most likely due to greater GEP, which was associated with higher rice plant density. With the rapid development of DSR, a scientifically sound reduced seeding density could be a promising strategy to reduce CH 4 emissions. © 2019 Elsevier B.V. },
    AFFILIATION = { Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering, and Coastal Ecosystems Research Station of the Yangtze River Estuary, Fudan University, Shanghai, 200433, China; Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, Montreal, C3H 3P8, Canada; Key Laboratory of New Technology for Construction of Cities in Mountain Area, Faculty of Architecture and Urban Planning, Chongqing University, Chongqing, 400045, China; School of Geography and Earth Sciences, McMaster University, Hamilton, L8S 4K1, Canada; Shanghai Academy of Environmental Sciences, Shanghai, 200233, China; A&F University, Yangling, Shaanxi 712100, China; Department of Botany and Microbiology, Center for Spatial Analysis, University of Oklahoma, Norman, Ok, United States },
    AUTHOR_KEYWORDS = { CH 4 flux; Direct-seeding; Eddy covariance; Gross ecosystem productivity; Seedling-transplanting },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.agrformet.2019.04.005 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85064241380&doi=10.1016%2fj.agrformet.2019.04.005&partnerID=40&md5=1db655ded54080ca3b1ee04df63c3076 },
}

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