Xiaoyuan Yan Frontier Research Center for Global Change, Japan Hiroko Akiyama, Kazuyuki Yagi

  • Upload
    jeneva

  • View
    22

  • Download
    1

Embed Size (px)

DESCRIPTION

Factors influencing CH 4 and N 2 O emissions from Asian croplands and potential mitigation options. Xiaoyuan Yan Frontier Research Center for Global Change, Japan Hiroko Akiyama, Kazuyuki Yagi National Institute for Agro-environmental Sciences, Japan [email protected]. - PowerPoint PPT Presentation

Citation preview

  • Factors influencing CH4 and N2O emissions from Asian croplands and potential mitigation optionsXiaoyuan YanFrontier Research Center for Global Change, JapanHiroko Akiyama, Kazuyuki YagiNational Institute for Agro-environmental Sciences, [email protected]

  • Characteristics of agriculture in the study region

    Chart2

    55.3869087306

    15.7747068494

    88.7608851834

    53.8708957064

    % of world total

    Sheet1

    PopulationLand areaRiceNitrogen fertilizer

    Study region55.386908730615.774706849488.760885183453.8708957064

    World100100100100

    Sheet1

    % of world total

    Sheet2

    Sheet3

  • Measurement sites of CH4 emission from paddy fields in AsiaCH4 emission from rice fields

  • Statistical analysis: A linear mixed model

    Fixed effects: soil properties (SOC, pH) climate water status before rice season water regime during rice season type and amount of organic fertilizer

    Random effect: paper

  • A statistical analysis of factors influencing CH4 emission

    EffectNumerator DFDenominator DFF valuePr > FSOC1178447.95

  • Effects of SOC on CH4 flux

  • Effects of soil pH99% confidence interval

  • Response of CH4 emission to difference organic amendment

    Chart2

    11111

    1.50399523891.09649558271.24099732011.15308590671.3153073903

    1.90954103161.15720263731.40806683961.25328089071.5440229245

    2.26200167871.20230256281.54007434851.32960710821.730033531

    3.14480503371.29513049551.83336121461.4916524552.1584985687

    71.31831944921.91122813921.53315121792.2755258888

    81.33911794381.98265222481.5707129912.3840067913

    91.35800071942.048802051.60509225812.485421209

    101.3753115424101.63683987682.5808731989

    121.406186977121.69400761752.7571043376

    151.4455314526151.76785506212.9930160183

    201.4987284251201.86945951743.3327712726

    251.5418778087251.953336309525

    301.5783451101302.0252322230

    351.6100249358353535

    401.6380945845404040

    451.6633380248454545

    Straw_on_season

    Compost

    Straw_off_season

    FYM

    GM

    Apprication rate of organic materials, t/ha

    Relative CH4 flux

    solution

    SolutionforFixedEffects0.33710.24160.4326

    0.40.7342676980.80141541910.6727460434

    Standard0.60.84181136850.88389635320.8017301774

    EffectEstimateErrorDFt ValuePr>|t|AlphaLowerUpper0.80.92753783660.9475159750.9079809323

    1111

    Intercept0.3630.263817841.380.1690.05-0.15440.88041.381.21.06338859481.04503344341.0820661393

    OC0.33710.0486817846.92

  • Rice-season water regimes affects CH4 emission0.360.180.25Rainfed, dry season0.370.210.28Rainfed, wet season0.800.460.60Single drainage0.660.410.52Multiple drainage1Continuously floodedupperlower95% confidence intervalRelative flux

    Water regime in rice season

  • Off-season water status affects CH4 emission during rice season

  • Field measurement data of N2O from croplands in Asian: A Statistical analysis

    Fixed effects: soil properties crop type chemical N type and amount mitigation option

    Random effect: paper

  • A conceptional N cycle model

  • Uncertainty caused by timing of rainfall event

    A Monte Carlo simulation: An upland field, fertilized with 200/150 kg N/ha1000 runs, assuming 5 rainfall events in a season randomly distributed in a season Ratio of N2O as a product of nitrification and denitrifcation 20 times higher on raining days than usual

  • Relatively well tested mitigation options

  • N dynamic in a upland field

  • N dynamic in a upland field

  • N dynamic in a upland fieldUrea: 1SRF: 0.90Inhibitor: 0.74

  • Urea: 1SRF: 1.7Inhibitor: 0.98Modeled effects of slow release urea nitrification inhibitor on N2O emission from paddy with middle season and end season drainage

    Nitrification inhibitorSlow release fertilizerUpland0.72 (n=14)0.88 (n=13)Paddy0.73 (n=9)1.08 (n=3)

  • ConclusionsManagement practices are more influential than climate and soil properties on CH4 emission from rice field.

    CH4 emission can be reduced by appropriate water management and use of organic materials

    N2O emission from paddy and NO3, COM tend to be smaller

    Effects of soil properties, fertilizer and crop type on N2O emission can be easily overshadowed by effect of rainfall-induced soil moisture change

    Nitrification inhibitors are effective to reduce N2O emission from upland, slow release fertilizers are less effective; their effects on paddy depend on water regime

    Fo