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首页> 外文期刊>European Journal of Agronomy >Testing the application of an agronomic concept to microbiology: a degree-day model to express cumulative co2 emission from soils.
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Testing the application of an agronomic concept to microbiology: a degree-day model to express cumulative co2 emission from soils.

机译:测试了农学概念在微生物学中的应用:一个度日模型来表达土壤中累积的co 2 排放。

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Although much research has been carried out, there is still no consensus about the temperature dependence of CO2 emissions from soil organic carbon (SOC) decomposition. The temperature sensitivity of soil CO2 emissions varies with the time and the temperature levels used in laboratory experiments. Although combined models have been used to take account of the incubation time and temperature to describe the decomposition of SOC, the factors temperature and time in these models are still independent. These models were fitted to CO2 data obtained from parallel laboratory incubations. In this study, sequential incubations were carried out for 2 months at temperatures between 20 degrees C and 50 degrees C, assuming that (1) the sequence of temperature levels did not affect the soil CO2 emissions and (2) the CO2 emissions depended only on the temperature sum accumulated by the soil. A degree-day model, which is commonly used in agronomy, was applied to predict soil CO2 emission variations with time and temperature. The results showed that, for any sequence of temperature levels, the accumulation of degree-days explained the cumulative CO2 emissions during two months laboratory incubation over the 20-40 degrees C range, where 6% of SOC was emitted as CO2. However, at 50 degrees C, soil CO2 emissions were higher than predicted by the degree-day model. This underestimation of soil CO2 emissions lasted for one month after the soil had been at 50 degrees C. These results suggest that, for the range of incubation temperatures (20-40 degrees C) and time tested (56 days), or 2000 degree-days, (i) the degree-day model is valid only between 20 and 40 degrees C, (ii) the main determinant of soil temperature sensitivity is the amount of labile carbon rather than microbial adaptation of soil respiration to temperature.
机译:尽管已经进行了很多研究,但是关于土壤有机碳(SOC)分解过程中CO 2 排放物的温度依赖性仍未达成共识。土壤CO 2 排放物的温度敏感性随时间和实验室实验中使用的温度水平而变化。尽管已使用组合模型来考虑孵育时间和温度来描述SOC的分解,但是这些模型中的温度和时间因素仍然是独立的。这些模型适合于平行实验室温育获得的CO 2 数据。在这项研究中,假设(1)温度顺序不会影响土壤CO 2 的排放,而(1)温度水平的顺序不会影响土壤的CO 2 排放,则在20摄氏度至50摄氏度之间的温度下进行连续培养2个月。 2)CO 2 的排放量仅取决于土壤积累的温度总和。应用农学中常用的度日模型来预测土壤CO 2 的排放随时间和温度的变化。结果表明,对于任何温度水平序列,天数的累积都可以解释在20-40摄氏度范围内的两个月实验室培养中,CO 2 的累积排放量,其中SOC的6%被发射为CO 2 。然而,在50摄氏度时,土壤CO 2 的排放量高于度日模型所预测的。在土壤温度达到50摄氏度后,对土壤CO 2 排放的低估持续了一个月。这些结果表明,在孵化温度范围(20-40摄氏度)和测试时间范围内( 56天)或2000摄氏度,(i)摄氏度模型仅在20到40摄氏度之间有效,(ii)土壤温度敏感性的主要决定因素是不稳定碳的数量而不是土壤的微生物适应性呼吸到温度。

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