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利用Li-8150系统测定了塔克拉玛干沙漠腹地冬季(1月)土壤呼吸,分析了环境驱动因子对极端干旱区荒漠生态系统土壤呼吸的影响。结果表明:(1)冬季土壤呼吸日变化呈现出显著的单峰曲线,土壤呼吸速率最大值出现在12:00,为0.0684μmol CO2m-2s-1,凌晨04:00附近出现最小值,为-0.0473μmol CO2m-2s-1;(2)土壤呼吸速率与各层气温,0cm地表温度均存在着极其显著或显著的线性关系,且都具有正相关性;(3)土壤呼吸速率与5cm土壤湿度存在着较为明显的线性关系,该层湿度能够解释土壤呼吸的69.5%;(4)0cm地表温度对土壤呼吸贡献最大,其次是5cm土壤湿度;(5)以0cm地表温度、5cm土壤湿度为变量,通过多元回归分析表明:土壤温度-湿度构成的多变量模型能够解释大于86.9%的土壤呼吸变化情况;(6)研究时段内土壤呼吸速率的平均值是-1.45mg CO2m-2h-1。
The soil respiration in the hinterland of the Taklamakan Desert in January was measured by Li-8150 system and the effect of environmental drivers on soil respiration in desert ecosystems in the extremely arid region was analyzed. The results showed that: (1) The diurnal variation of soil respiration in winter showed a significant unimodal curve. The maximum soil respiration rate appeared at 12:00, which was 0.0684μmol CO2m-2s-1. The minimum value appeared around 04:00 in the morning, 0.0473μmol CO2m-2s-1. (2) There was a significant or significant linear relationship between soil respiration rate and air temperature and 0cm surface temperature, and all had positive correlation. (3) Soil respiration rate was positively correlated with soil moisture (4) 0cm surface temperature has the greatest contribution to soil respiration, followed by 5cm soil moisture; (5) With 0cm surface temperature and 5cm soil moisture as variables , And multivariate regression analysis showed that the multivariate model of soil temperature-humidity could explain soil respiration more than 86.9%. (6) The average soil respiration rate during the study period was -1.45mg CO2m-2h-1.