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Characterizing Spatiotemporal Dynamics of CH 4 Fluxes from Rice Paddies of Cold Region in Heilongjiang Province under Climate Change

Author

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  • Tangzhe Nie

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
    Key Laboratory of Agricultural Water Resource Use, Ministry of Agriculture, Harbin 150030, China)

  • Zhongxue Zhang

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
    Key Laboratory of Agricultural Water Resource Use, Ministry of Agriculture, Harbin 150030, China)

  • Zhijuan Qi

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
    Key Laboratory of Agricultural Water Resource Use, Ministry of Agriculture, Harbin 150030, China)

  • Peng Chen

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China
    Key Laboratory of Agricultural Water Resource Use, Ministry of Agriculture, Harbin 150030, China)

  • Zhongyi Sun

    (Graduate School of Agriculture, Hokkaido University, Sapporo 060-8589, Japan)

  • Xingchao Liu

    (School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China)

Abstract

Paddy fields have become a major global anthropogenic CH 4 emission source, and climate change affects CH 4 emissions from paddy ecosystems by changing crop growth and the soil environment. It has been recognized that Heilongjiang Province has become an important source of CH 4 emission due to its dramatically increased rice planting area, while less attention has been paid to characterize the effects of climate change on the spatiotemporal dynamics of CH 4 fluxes. In this study, we used the calibrated and validated Long Ashton Research Station Weather Generator (LARS-WG) model and DeNitrification-DeComposition (DNDC) model to simulate historical and future CH 4 fluxes under RCP 4.5 and RCP 8.5 of four global climate models (GCMs) in Heilongjiang Province. During 1960–2015, the average CH 4 fluxes and climatic tendencies were 145.56 kg C/ha and 11.88 kg C/ha/(10a), respectively. Spatially, the CH 4 fluxes showed a decreasing trend from west to east, and the climatic tendencies in the northern and western parts were higher. During 2021–2080, the annual average CH 4 fluxes under RCP 4.5 and RCP 8.5 were predicted to be 213.46 kg C/ha and 252.19 kg C/ha, respectively, and their spatial distributions were similar to the historical distribution. The average climatic tendencies were 13.40 kg C/ha/(10a) and 29.86 kg C/ha/(10a), respectively, which decreased from west to east. The simulation scenario analysis showed that atmospheric CO 2 concentration and temperature affected CH 4 fluxes by changing soil organic carbon (SOC) content and plant biomass. This study indicated that a paddy ecosystem in a cold region is an important part of China’s greenhouse gas emission inventory in future scenarios.

Suggested Citation

  • Tangzhe Nie & Zhongxue Zhang & Zhijuan Qi & Peng Chen & Zhongyi Sun & Xingchao Liu, 2019. "Characterizing Spatiotemporal Dynamics of CH 4 Fluxes from Rice Paddies of Cold Region in Heilongjiang Province under Climate Change," IJERPH, MDPI, vol. 16(5), pages 1-21, February.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:5:p:692-:d:209270
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    References listed on IDEAS

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    Cited by:

    1. Tangzhe Nie & Peng Chen & Zhongxue Zhang & Zhijuan Qi & Yanyu Lin & Dan Xu, 2019. "Effects of Different Types of Water and Nitrogen Fertilizer Management on Greenhouse Gas Emissions, Yield, and Water Consumption of Paddy Fields in Cold Region of China," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    2. Xiangwen Wu & Shuying Zang & Dalong Ma & Jianhua Ren & Qiang Chen & Xingfeng Dong, 2019. "Emissions of CO 2 , CH 4 , and N 2 O Fluxes from Forest Soil in Permafrost Region of Daxing’an Mountains, Northeast China," IJERPH, MDPI, vol. 16(16), pages 1-14, August.
    3. Yao, Yao & Li, Guang & Lu, Yanhua & Liu, Shuainan, 2023. "Modelling the impact of climate change and tillage practices on soil CO2 emissions from dry farmland in the Loess Plateau of China," Ecological Modelling, Elsevier, vol. 478(C).

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