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Modeling organic transformations by microorganisms of soils in six contrasting ecosystems: Validation of the MOMOS model

机译:在六个相反的生态系统中模拟土壤微生物的有机转化:MOMOS模型的验证

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摘要

The Modeling Organic Transformations by Microorganisms of Soils (MOMOS) model simulates the growth, respiration, and mortality of soil microorganisms as maindrivers of the mineralization and humification processes of organic substrates. Originally built and calibrated using data from two high‐altitude sites, the model is now validated with data from a 14C experiment carried out in six contrasting tropical ecosystems covering a large gradient of temperature, rainfall, vegetation, and soil types from 65 to 3968 m asl.MOMOS enabled prediction of a greater number of variables using a lower number of parameter values than for predictions previously published on this experiment. The measured 14C mineralization and transfer into microbial biomass (MB) and humified compartments were accurately modeled using (1) temperature and moisture responsefunctions to daily adjust the model responses to weather conditions and (2) optimization ofonly one parameter, the respiration rate kresp of soil microorganisms at optimal temperature and moisture. This validates the parameterization and hypotheses of the previous calibration experiment. Climate and microbial respiratory activity, related to soil properties, appear as the main factors that regulate the C cycle. The kresp rate was found to be negatively related to the fine textural fraction of soil and positively related to soil pH,allowing the proposition of two transfer functions that can be helpful to generalize MOMOS application at regional or global scale.
机译:通过土壤微生物有机转化模型(MOMOS)模型可模拟土壤微生物的生长,呼吸作用和死亡率,而土壤微生物是有机基质矿化和腐殖化过程的主要驱动力。该模型最初是使用来自两个高空站点的数据构建和校准的,现在已通过在六个相反的热带生态系统中进行的14C实验数据进行了验证,该生态系统覆盖了65至3968 m的温度,降雨,植被和土壤类型的大梯度asl.MOMOS可以使用较少数量的参数值来预测更大数量的变量,而不是先前在该实验中发布的预测。使用(1)温度和湿度响应函数每天调整模型对天气条件的响应,以及(2)仅优化一个参数(土壤呼吸速率kresp),对测得的14C矿化并转移到微生物生物量(MB)和腐殖化隔室中进行精确建模最佳温度和湿度下的微生物。这验证了先前校准实验的参数设置和假设。与土壤特性有关的气候和微生物呼吸活动似乎是调节碳循环的主要因素。发现kresp速率与土壤的精细质地分数呈负相关,与土壤pH值呈正相关,从而提出了两个传递函数的命题,这可以有助于推广MOMOS在区域或全球范围内的应用。

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