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首页> 外文期刊>Soil Biology & Biochemistry >Does adding microbial mechanisms of decomposition improve soil organic matter models? A comparison of four models using data from a pulsed rewetting experiment
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Does adding microbial mechanisms of decomposition improve soil organic matter models? A comparison of four models using data from a pulsed rewetting experiment

机译：增加微生物分解机制是否可以改善土壤有机质模型？使用脉冲再润湿实验中的数据对四种模型进行比较

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Contemporary soil organic matter (SOM) models have been successful at simulating decomposition across a range of spatial and temporal scales using first-order kinetics to represent the decomposition process; however, recent work suggests the simplicity of the first-order representation of decomposition is not adequate to capture the microbially-driven dynamics of SOM decomposition over short timescales. For example, the response of soils to drying-rewetting events may best be explained by microbial and/or exoenzyme controls on decomposition. To test if adding these microbial mechanisms improves the ability of SOM models to simulate the response of soils to short-term environmental changes, we developed four different SOM decomposition models with varying mechanistic complexity and compared their ability to simulate soil respiration from a pulsed drying-rewetting laboratory-based experiment. Specifically, we tested the ability of the models to capture the timing and magnitude of soil CO2 efflux in response to rewetting or constant moisture conditions. The results of the comparison suggest that the inclusion of exoenzyme and microbial controls on decomposition can improve the ability to simulate pulsed rewetting dynamics; however, less mechanistic first-order models prevail under steady-state moisture conditions. These modeling results may have implications for understanding the long-term response of soil carbon stocks in response to local and regional climate change.
机译：当代的土壤有机质（SOM）模型已经成功地使用一级动力学来代表分解过程，模拟了一系列时空尺度上的分解。但是，最近的工作表明，分解的一阶表示的简单性不足以在短时间内捕获SOM分解的微生物驱动动力学。例如，土壤对干燥再润湿事件的响应最好用分解过程中微生物和/或外切酶的控制来解释。为了测试添加这些微生物机制是否能改善SOM模型模拟土壤对短期环境变化的响应的能力，我们开发了四种具有不同机械复杂性的SOM分解模型，并比较了它们模拟脉冲干燥对土壤呼吸的能力-重新润湿基于实验室的实验。具体来说，我们测试了模型捕获再湿润或恒定湿度条件下土壤CO2外排时间和数量的能力。比较结果表明，在分解过程中加入外酶和微生物控制可以提高模拟脉冲再润湿动力学的能力。但是，在稳态湿度条件下，机械式一阶模型占主导地位。这些模拟结果可能有助于理解土壤碳储量对当地和区域气候变化的长期响应。

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