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采用静态室 /碱吸收法研究了内蒙古大针茅典型草原土壤呼吸的时空动态 .大针茅群落地上部和地下部生物量的时空变异不同步 ,用地上部生物量不能很好地预测群落的根系量 .群落土壤呼吸具有明显的时空动态 ,控制群落土壤呼吸空间变异与时间变异的因子是不同的 .土壤呼吸的季节变化与地上部生物量及土壤水分状况关系密切 .根据大针茅群落分别计算了大针茅群落 1995、1997和 1998年的年CO2 排放总量 ,分别为 180、45 .8和 2 2 5 gC·m-2 ·a-1,年际变异很大 .过度放牧大大降低了群落的生物量 ,也降低了土壤CO2 排放量 .讨论了建立以降水量为驱动因子的草地群落土壤呼吸动态模型的可能性 .
The spatial and temporal dynamics of soil respiration in the Stipa grandis grassland in Inner Mongolia was studied by static chamber / alkali absorption method. Spatio-temporal variations of biomass in the above-ground and below-ground biomass were not synchronized, and the above-ground biomass did not predict the root system The community soil respiration had obvious spatio-temporal dynamics, and the control factors of soil respiration spatial variability and temporal variation were different.The seasonal variation of soil respiration was closely related to aboveground biomass and soil moisture status.According to the statistics of the community The total annual CO2 emissions of Stipa grandis communities in 1995, 1997 and 1998 were 180, 45.8 and 225 g · m-2 · a-1, respectively, with significant annual variations. Overgrazing significantly reduced The biomass of the community also reduced the soil CO2 emissions.The possibility of establishing a dynamic model of soil respiration with grassland as the driving force was discussed.