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稻田甲烷排放通量季节变化影响因子的通径分析研究OA

Path Analysis of Factors Affecting Seasonal Variation of CH4 Emission Flux in Paddy Fields

中文摘要英文摘要

[目的]明确稻田甲烷(CH4)排放通量季节变化特征,分析稻田CH4 排放通量季节变化的主要影响因子及其定量贡献.[方法]利用 2016 年江苏句容生态实验站农田生态系统涡度相关原位观测数据,分析稻田CH4 排放通量季节变化特征;并基于相关分析和通径分析方法,分析稻田CH4 排放通量季节变化的影响因子及其定量贡献.[结果]稻田CH4 排放通量从 6 月中旬(6 月 10-19 日)的平均值 129.82 mg/m2·d迅速上升到 7 月底和8 月初(7 月 29 日)的峰值 1 191.78 mg/m2·d,增幅达 9.18 倍,并于 12 月初(12 月 1-10 日)水稻生长季结束后逐渐降低到最低值(4.35 mg/m2·d),期间经历多次明显的波动变化.在水稻抽穗前期和水稻抽穗后期,CH4 排放通量与 11 个影响因子(空气温度TA、土壤温度TS、光合量子通量密度PPFD、水汽压差VPD、摩擦风速μ*、大气压力AP、相对湿度RH、叶面积指数LAI、总初级生产力GPP、潜热通量LE、水位WTD)之间的相关性差异明显.在每日时间尺度,水稻抽穗前期TS、TA和GPP与CH4 排放通量的直接通径系数分别为 0.72、-0.45 和 0.76;TA还通过TS、VPD间接影响CH4 排放通量季节变化;LAI则通过GPP和LE间接影响CH4 排放通量的季节变化,其间接通径系数分别为 0.94 和 0.69.在水稻抽穗后期,TS和LAI对CH4 排放通量季节变化的影响较强,直接通径系数分别为0.73和-0.60,LAI则通过GPP和LE影响CH4 排放通量季节变化,其间接通径系数分别为-0.45和-0.51,TA通过TS影响CH4 排放通量季节变化的间接通径系数为 0.93.[结论]稻田生态系统CH4 排放通量存在明显的季节变化特征,水稻抽穗前期CH4 排放通量季节变化的主要影响因子为TS、TA和GPP;水稻抽穗后期主要影响因子为TS和LAI,它们之间的关系可通过简单线性和指数函数进行拟合,且拟合优度较好.

[Objective]To investigate the seasonal variation characteristics of methane(CH4)emission flux in paddy fields and analyze the main influencing factors and their quantitative contributions.[Method]The seasonal variation characteristics of CH4 emission flux in paddy fields were analyzed using the in-situ observation data from the eddy covariance system of farmland ecosystems at Jurong Ecological Experimental Station,Jiangsu Province in 2016.The influencing factors and their quantitative contributions of the seasonal variation of CH4 emission flux in paddy fields were analyzed based on correlation analysis and path analysis methods.[Result]The CH4 emission flux in paddy fields increased rapidly from the average value of 129.82 mg/m2·d in mid-June to the peak value in late July and early August(1 191.78 mg/m2·d),representing a 9.18-fold increase,and then gradually decreased to a low value at the end of the rice growing season in early December(4.35 mg/m2·d),and experienced several significant fluctuations during the rice growing season.The correlation between CH4 flux and 11 relevant environmental variables(TA,TS,PPFD,VPD,μ*,AP,RH,LAI,GPP,LE,WTD)differed significantly between the pre-and post-panicle initiation periods of the rice-growing season.During the pre-panicle initiation of the rice-growing season,the direct path coefficients of TS,TA,and GPP for CH4 fluxes were 0.72,-0.45 and 0.76,respectively.TA indirectly affects the seasonal variation of CH4 emission flux through TS and VPD;LAI indirectly influences the seasonal variation of CH4 emission flux through GPP and LE,with indirect path coefficients of 0.94 and 0.69,respectively.TS and LAI had a strong influence on the seasonal variation of CH4 fluxes during post-panicle initiation of the rice-growing season,and the direct path coefficients were 0.73 and-0.60,respectively.LAI can also influence the seasonal variation of CH4 emission flux through GPP and LE,with indirect path coefficients of-0.45 and-0.51 respectively.The indirect path coefficient of TA influencing the seasonal variation of CH4 emission flux through TS is 0.93.[Conclusion]The CH4 emission flux in paddy field ecosystems had obvious seasonal variations.In the pre-panicle initiation of the rice-growing season,TS,TA,and GPP were the main influencing factors of the seasonal variation of CH4 flux,however,during the post-panicle initiation of the rice-growing season,TS and LAI were the main influencing factors of the seasonal variation of CH4 flux.The relationship between influencing factors and daily CH4 fluxes was well fitted by simple linear or exponential functions and with good goodness of fit.

戴声佩

海南师范大学地理与环境科学学院/海南省热带海岛地表过程与环境变化重点实验室,海南 海口 571158||中国热带农业科学院科技信息研究所/海南省热带作物信息技术应用研究重点实验室,海南 海口 571101

农业科技

甲烷排放通量季节变化影响因子通径分析稻田生态系统

methane emission fluxseasonal variationinfluencing factorspath analysispaddy fields ecosystem

《广东农业科学》 2026 (2)

113-125,13

国家自然科学基金(42461063、42107487)

10.16768/j.issn.1004-874X.2026.02.009

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