土壤有机质模型的比较分析

土壤有机质作为土壤C库，其含量和动态变化对全球C循环、土壤肥力、土壤质量和健康起着重要作用。SOM模型利用经验性的假设和已有数据对土壤有机质含量和动态变化进行模拟，尤其是可以对无法取得足够必要数据的试验进行模拟，所以SOM模型成为定量研究土壤有机质积累分解的重要手段，利用SOM模型有助于对土壤有机质分解机理的研究，并且可通过SOM模型对土壤CO2排放量、植物生产量进行预测。同时也可对农业管理措施做出评估，文中对几种SOM模型进行了概述，尤其对有影响的RothC模型和CENTURY模型进行了比较分析。

Comparison of soil organic matter models

Soil organic matter is a soil carbon pool, and its content and dynamics is very important to global C cycling, soil fertility, and soil quality. SOM models can simulate soil organic matter dynamics and predict its content, especially for which some of data are difficult or impossible to obtain by experiential hypotheses and existing data. Therefore, SOM models have become the most important quantitative means to study SOM decomposition and accumulation, and can help us to identify the mechanism about SOM dynamics. SOM models can also predict CO2 emission and plant growth, and evaluate agricultural management practices. Several SOM models, especially RothC model and CENTURY model, were summarized and analyzed in this paper.