2007年使用动态密闭气室红外CO2分析法(IRGA)对黄土高原地区豌豆农田土壤呼吸进行观测,综合分析了水热因子对土壤呼吸日、季节变化的影响。结果表明,该区豌豆田土壤呼吸日、季节变化趋势均呈“单峰型”曲线;夏季日变化最高和最低值分别出现在11:00-13:00和0:00-3:00,日平均值接近9:00和19:00的观测值;冬季日变化最高和最低值分别出现在13:00-15:00和21:00-0:00,日平均值接近于9:00和17:00的观测值;全年土壤呼吸速率最大值出现在7月份(豌豆开花结荚期),最小值出现在12月份。分析表明:温度是该农田生态系统土壤呼吸日、季节变化的主要影响因素;而土壤水分变化与土壤呼吸季节变化的相关性较差。该区土壤呼吸存在“负通量”现象。
Based on the continuous measurement of soil respiration in a pea field on the Loess Plateau,northern China,using a closed chamber infrared CO2 gas analyzer in 2007,the temporal variation of soil respiration was studied and the influence of temperature and moisture determined,and soil properties analyzed.The diurnal variation of soil respiration in summer showed an asymmetric single-peak pattern with the minimum appearing at 0:00-3:00 h and the maximum at 11:0-13:00 h.The daily mean was close to the observed values at 9:00 and 19:00 h.In winter the minimum occured at 21:00-0:00 and the maximum at 13:00-15:00,with the mean close to the values observed at 9:00 and 17:00.Moreover,the soil respiration in winter accounted for a-bout 8 .9% of the total annual value,hence the soil respiration in winter should not be ignored.Meanwhile the diurnal soil respiration exhibited a negative numerical flux in winter,which,this paper contends,is mainly caused by the phenomenon that the alkaline soil (pH>8.2)in this area promotes soil secondary carbonate which enables the soil to absorb CO2 .This phenomenon may lead to an underestimate of soil respiration rate in this region,and more importantly,it may provide evidence for future research on missing carbon sinks.Soil respiration fluctuated widely during the flowering and seed production period of pea in this year.The annual mean soil respiration rate was near to the observed values of March 29,with a maximum of 0.92μmol CO2/(m2 ·s)on July 21 and a minimum of 0.01 μmol CO2/(m2 ·s)on December 14.Analysis showed that soil temperature was the key factor in the diurnal variation of soil respiration.However,soil moisturecorrelated poorly with soil respiration.These results may provide basic data for the research of carbon cycle process and their mechanisms in farmland ecosystems.