Abstract. Temperate grasslands are of paramount importance in terms of soil organic carbon (SOC) dynamics. Globally, research on SOC dynamics has largely focused on forests, croplands and natural grasslands, while intensively managed grasslands has received much less attention. In this regard, we aimed to improve the prediction of SOC dynamics in managed grasslands under humid temperate regions. In order to do so, we modified and recalibrated the SOC model RothC, originally developed to model the turnover of SOC in arable topsoils, which requires limited amount of readily available input data. The modifications proposed for the RothC are: (1) water content up to saturation conditions in the soil water function of RothC to fit the humid temperate climatic conditions, (2) entry pools that account for particularity of exogenous organic matter (EOM) applied (e.g., ruminant excreta), (3) annual variation in the carbon inputs derived from plant residues considering both above- and below-ground plant residue and rhizodeposits components as well as their quality, and (4) the livestock treading effect (i.e., poaching damage) as a common problem in humid areas with higher annual precipitation. In the paper, we describe the basis of these modifications, carry out a simple sensitivity analysis and validate predictions against data from existing field experiments from four sites in Europe. Model performance showed that modified RothC reasonably captures well the different modifications. However, the model seems to be more sensitive to soil moisture and plant residues modifications than to the other modifications. The applied changes in RothC model could be appropriate to simulate both farm and regional SOC dynamics from managed grassland-based systems under humid temperate conditions.

中文翻译：

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在潮湿温带气候条件下模拟管理草地的土壤有机碳动态

摘要。就土壤有机碳（SOC）的动力学而言，温带草原至关重要。在全球范围内，SOC动态研究主要集中在森林，农田和天然草地上，而集约化管理的草地受到的关注则少得多。在这方面，我们旨在改善湿润温带地区管理草地上SOC动态的预测。为此，我们修改了SOC模型RothC并对其进行了重新校准，该模型最初是用来对可耕层表土中SOC的周转进行建模的，这需要有限数量的易于获得的输入数据。针对RothC提出的修改为：（1）达到RothC的土壤水分功能中的饱和条件下的水分含量，以适应​​潮湿的温带气候条件;（2）解释所应用的外源有机质（EOM）的入口池（ e。（例如反刍动物粪便），（3）考虑到地上和地下植物残渣和根茎成分及其质量，以及来自植物残渣的碳输入量的年度变化，以及（4）牲畜踩踏效应（即偷猎破坏）是年降水量较高的潮湿地区的常见问题。在本文中，我们描述了这些修改的基础，进行了简单的敏感性分析，并根据来自欧洲四个站点的现有现场实验数据验证了预测。模型性能表明，修改后的RothC可以很好地捕获不同的修改。但是，该模型似乎对土壤水分和植物残留物的修改比对其他修改更敏感。