Modeling soil carbon accumulation in irrigated agricultural systems

Abstract

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.