In contemporary circumstances characterized by climate change and increased pressure on agricultural ecosystems, determining the impact of irrigation levels on soil carbon dynamics becomes a pertinent task. This study aims to determine the impact of irrigation rates on soil carbon dynamics using agricultural system modeling. The simulations were conducted by LPJ-GUESS Education 3.0. The results were analyzed using the analogy method. Changes in soil carbon accumulation were quantified in three agricultural systems representing the desert, semi-desert, and steppe zones of Russia. Results show an increase in soil carbon accumulation in all biomes and a decrease in ecosystem carbon exchange. These findings suggest that irrigation rates developed for desert, semi-desert, and steppe biomes were effective. The results of this study can be applied to irrigated and rainfed agriculture. The obtained data not only corroborate the positive influence of irrigation levels on carbon accumulation in soil across various biomes but also unveil prospects for the development of sustainable agricultural practices. This study aims at optimizing the utilization of water resources, which may contribute to fostering ecosystem resilience within the agricultural sector.

中文翻译：

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模拟灌溉农业系统中的土壤碳积累

在气候变化和农业生态系统压力增大的当代环境下，确定灌溉水平对土壤碳动态的影响成为一项相关任务。本研究旨在利用农业系统模型确定灌溉率对土壤碳动态的影响。模拟是通过 LPJ-GUESS Education 3.0 进行的。采用类比法对结果进行分析。对代表俄罗斯沙漠、半沙漠和草原地区的三个农业系统中土壤碳积累的变化进行了量化。结果显示所有生物群落的土壤碳积累增加，生态系统碳交换减少。这些发现表明，为沙漠、半沙漠和草原生物群落制定的灌溉率是有效的。这项研究的结果可应用于灌溉和雨养农业。获得的数据不仅证实了灌溉水平对不同生物群落土壤碳积累的积极影响，而且揭示了可持续农业实践发展的前景。本研究旨在优化水资源的利用，这可能有助于增强农业部门的生态系统复原力。