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Dynamic Changes and Driving Mechanism of Soil CO_2 Emission Fluxes of Different Land Use in Western Jilin Province

机译:吉林省西部不同土地利用土壤CO_2排放通量的动态变化及驱动机制

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Using GXH-3051A infrared analyzer, the paper monitored the seasonal variations of soil CO_2 emission fluxes of four land use types with the dynamic closed chamber method in western Jilin Province and analyzed the driving mechanism. The result shows that the soil dynamic changes of paddy field, dry farmland, grassland and saline-alkali land present multi-peak curves, but the means of emission fluxes exist large differences. Temperature and moisture are the main factors leading to the differences of CO_2 emission fluxes. There is a significant exponential relationship between the dynamic changes of CO_2 emission fluxes and soil temperature, but the exponential relationship is poor between the dynamic changes of CO_2 emission flux and moisture. Hydrothermal two-factor composite model can explain the dynamic changes of CO_2 emission fluxes well, which illustrates the change of CO_2 emission fluxes of 65.47% of paddy soil, 76.25% of dry farmland, 82.17% of grassland and 57.62% of saline-alkali soil.
机译:使用GXH-3051A红外分析仪,在纸监测4种土地利用类型的土壤CO_2排放通量的季节变化,在西方吉林省动态封闭腔室的方法和分析的驱动机构。结果表明,在土壤动态水田,旱田,草地和盐碱地本发明的多峰曲线的变化,但发射通量的手段存在大的差异。温度和湿度是导致CO_2排放通量的差异的主要因素。有CO_2排放通量和土壤温度的动态变化之间的显著指数关系,但指数关系是CO_2排放通量和水分的动态变化之间差。热液双因素复合模型可以解释CO_2发射的动态变化通量阱,其示出CO_2排放通量的水稻土的65.47%,旱地76.25%,草地的82.17%和盐碱的57.62%的变化。

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