Abstract
Plant litter decomposition plays a crucial role in the flow of nutrients and energy in ecosystems. However, the mechanism of bacterial communities regulating litter decomposition under climate warming in temperate wetlands remains largely unknown. The objective of this study was to determine the influences of temperature on decomposition and the bacterial regulatory mechanism under climate warming in temperate wetlands. In this study, we conducted a 1.5-year litter decomposition warming experiment using dominant plant species in the temperate lake wetlands of the North China Plain. Our results showed that the decomposition rate (K) had a significant positive correlation with temperature, and the non-additive effects of litter decomposition could be clearly observed in the mixtures of Phragmites australis and Typha angustata, especially under warming conditions. Among the three types of litter, Phragmites australis had the highest temperature sensitivity (2.75), which meant that it would be most affected by climate change in the future. The concentrations of C and N showed a significant positive correlation with the decomposition rate and were mainly driven by Proteobacteria and Firmicutes, while the concentration of lignin and the lignin:N ratio had a highly significant negative correlation with the decomposition rate and were mainly driven by Bacteroidota and Actinobacteriota. Furthermore, the bacterial cooccurrence network revealed that the abundance of Firmicutes and Desulfobacterota increased significantly, and positive edges accounted for 67.81% ~ 71.14% under warming conditions. The bacterial networks of litter decomposition were mainly composed of symbiotic relationships, and warming was helpful for improving the positive correlations and symbiotic relationships of bacterial flora and sped up the litter decomposition process. These results will be helpful to further understand the mechanism of bacterial communities regulating litter decomposition under climate warming in temperate wetland ecosystems.
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