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首页> 外文会议>Third International Symposium on Non-Co_2 Greenhouse Gases: Scientific Understanding, Control Options and Policy Aspects Jan 21-23, 2002 Maastricht, The Netherlands >Modelling nitrous oxide emission and inventory of German forest soils
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Modelling nitrous oxide emission and inventory of German forest soils

机译：模拟德国森林土壤中的一氧化二氮排放量和清单

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Annual fluxes of N_2O trace gas emissions were assessed after stratifying German forest soils into seasonal and background emission types. Seasonal N_2O emissions are primarily controlled by temperature and moisture and were simulated by the model Expert-N after calibration to a 9-year record of N_2O measurements. Background N_2O emissions were estimated by a relationship between annual N_2O emissions and C-accumulation in the forest floor. Sensitive analysis indicates that the model reacts very well to changes in climate and soil properties but it also makes clear that even well determined models may not consider important key parameters like diffusivity in the forest floor or a secondary pore system in the mineral soil. The stratification procedure by soil pH consider this problems roughly. A geographic information system (ARC/INFO) was used for a spatial resolution of 1km x 1 km combining grids of land cover with dominant soil units and hygro-climate classes. The average annual N_2O emission flux from German forest soils was estimated to 0.32 kg ha~(-1) yr~(-1). Broad leave forests with seasonal emission pattern had the highest emissions (2.05 kg ha~(-1) yr~(-1)) followed by mixed forests (0.38 kg ha~(-1) yr~(-1)), broad leave forests with background emissons (0.37 kg ha~(-1) yr~(-1)), and needle leave forests (0.17 kg ha~(-1) yr~(-1)). The total annual N_2O emissions from German forest soils has been predicted to 3.26 Gg N_2O-N yr~(-1). Although needle leave trees cover about 57 % of the entire forest area the contribution to the total emission is rather low (0.96 Gg N_2O-N yr~(-1)). Broad leave forests only cover about 22% of the forest area but they have 55% higher total emission (1.49 Gg N_2O-N yr~(-1)) compared to needle leave. Mixed forests covers 21% of the area and contributed 0.81 Gg N_2O-N yr~(-1). Compared to the total N_2O emissions in Germany of 170 Gg N yr~(-1) forest soils contributed only to about 1.9 %. Assuming that the German inventory is representative for the temperate forests, the flux would be 0.33 Tg N yr~(-1) and equals about one third of the mean estimate of the IPCC, 1997.
机译：在将德国森林土壤分层为季节和背景排放类型之后，评估了N_2O微量气体的年通量。季节性N_2O排放主要受温度和湿度控制，并且在校准到N_2O测量的9年记录后由Expert-N模型进行模拟。通过每年的N_2O排放量与森林地层中C积累之间的关系来估算背景N_2O排放量。敏感性分析表明，该模型对气候和土壤特性的变化反应非常好，但也清楚地表明，即使确定良好的模型也可能不会考虑重要的关键参数，例如森林地面的扩散率或矿物土壤中的次生孔隙系统。通过土壤pH值进行的分层过程大致考虑了此问题。地理信息系统（ARC / INFO）用于1km x 1 km的空间分辨率，结合了具有主要土壤单元和湿度气候类别的土地覆盖网格。德国森林土壤的年平均N_2O排放通量估计为0.32 kg ha〜（-1）yr〜（-1）。具有季节性排放模式的阔叶林排放量最高（2.05 kg ha〜（-1）yr〜（-1）），其次是混合林（0.38 kg ha〜（-1）yr〜（-1）），阔叶具有背景发射的森林（0.37 kg ha〜（-1）yr〜（-1））和针叶林（0.17 kg ha〜（-1）yr〜（-1））。据预测，德国森林土壤每年的N_2O排放总量为3.26 Gg N_2O-N yr〜（-1）。尽管针叶树覆盖了整个森林面积的约57％，但对总排放量的贡献却很小（0.96 Gg N_2O-N yr〜（-1））。阔叶林仅占森林面积的22％，但与针叶林相比，它们的总排放量（1.49 Gg N_2O-N yr〜（-1））高55％。混交林覆盖面积的21％，贡献了0.81 Gg N_2O-N yr〜（-1）。与德国的170 Gg N yr〜（-1）的N_2O排放总量相比，森林土壤仅占1.9％。假设德国库存代表温带森林，通量为0.33 Tg N yr〜（-1），约等于IPCC 1997年平均估计的三分之一。

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