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Characterizing Spatiotemporal Dynamics of CH4 Fluxes from Rice Paddies of Cold Region in Heilongjiang Province under Climate Change

机译:气候变化下黑龙江省寒区稻田CH4通量的时空动态特征

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摘要

Paddy fields have become a major global anthropogenic CH4 emission source, and climate change affects CH4 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 CH4 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 CH4 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 CH4 fluxes under RCP 4.5 and RCP 8.5 of four global climate models (GCMs) in Heilongjiang Province. During 1960–2015, the average CH4 fluxes and climatic tendencies were 145.56 kg C/ha and 11.88 kg C/ha/(10a), respectively. Spatially, the CH4 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 CH4 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 CO2 concentration and temperature affected CH4 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.
机译:稻田已成为全球主要的人为甲烷排放源,气候变化通过改变作物生长和土壤环境影响水稻生态系统的甲烷排放。人们已经认识到,黑龙江省由于水稻种植面积的急剧增加而已成为CH4排放的重要来源,而人们很少关注气候变化对CH4通量的时空动态的影响。在本研究中,我们使用经过校准和验证的Long Ashton研究站天气生成器(LARS-WG)模型和DeNitrification-DeComposition(DNDC)模型来模拟四个全球气候模型(GCM)的RCP 4.5和RCP 8.5下的历史和未来CH4通量)在黑龙江省。在1960–2015年期间,平均CH4通量和气候趋势分别为145.56 kg C / ha和11.88 kg C / ha /(10a)。从空间上看,CH4通量从西向东呈下降趋势,北部和西部地区的气候趋势较高。在2021年至2080年期间,RCP 4.5和RCP 8.5下的年平均CH4通量预计分别为213.46 kg C / ha和252.19 kg C / ha,其空间分布与历史分布相似。平均气候趋势分别为13.40 kg C / ha /(10a)和29.86 kg C / ha /(10a),从西向东下降。模拟情景分析表明,大气中的CO2浓度和温度通过改变土壤有机碳(SOC)含量和植物生物量而影响CH4通量。这项研究表明,在未来的情景中,寒冷地区的稻田生态系统是中国温室气体排放清单的重要组成部分。

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