揭示南方多土景观水蚀诱导土壤呼吸的驱动机制

Geng Guo, Zhiying Deng, Jie Kuai, Xiaoying Peng, Lihua Wu, Guangruo Zeng, Zhen Ouyang, Jiayi Miao, Jie Lin
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引用次数: 0

摘要

水侵蚀通过强烈影响土壤呼吸(Rs),对陆地碳循环及其源汇模式产生深远影响。然而,侵蚀引起的二氧化碳排放的系统机制仍然没有充分阐明。通过为期一年的野外试验,研究了侵蚀和沉积对土壤中Rs的影响,以及不同环境因子与Rs的关系。表层土壤样品(0 ~ 20 cm)被划分为Ultisols,收集于3个样带上具有不同侵蚀和沉积特征的4个景观位置(顶部、上部、中部和趾部)。利用bio - eco微孔板研究了土壤微生物群落功能对水分侵蚀的响应。结果表明,不同站点间累积Rs差异显著(P <; 0.05),主要以中坡<; 上坡<; 下坡<; 顶坡顺序排列,最大值和最小值分别为18.75和9.75 t CO2 ha - 1 yr - 1。此外,侵蚀显著降低了土壤有机碳(SOC)、养分和土壤微生物群落碳源的平均井色发育(AWCD),而沉积则增强了它们。结构方程模型(SEM)揭示了侵蚀部位、土壤温度(Ts5)、水分(SWC10)、微生物生物量碳(MBC)、有机碳(SOC)和Shannon’s指数对Rs的多因素驱动机制(R2=84.20 %)。SEM结果显示,Ts5、SWC10、MBC、SOC是Rs的最显著预测因子。综上所述,Rs受侵蚀和沉积条件下热液因子、土壤性质和微生物特征的共同调控。除了热液双因素模型外,还需要纳入其他土壤特性。研究结果突出了水土流失对土壤的影响,阐明了水土流失的驱动机制,为更好地预测和管理碳-气候反馈提供了理论依据。
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Revealing the driving mechanism of soil respiration induced by water erosion in Ultisols landscape of southern China
Water erosion exerts a profound impact on the terrestrial C cycling and its source/sink patterns through strongly affecting soil respiration (Rs). However, the systematic mechanism of erosion-induced CO2 emissions remains inadequately elucidated. Herein, we conducted a one-year field experiment to examine the effects of erosion and deposition on Rs, as well as the relationships between different environmental factors and Rs on a typical eroded slope in southern China. Samples of the topsoil (0–20 cm), classified as Ultisols, were collected from four landscape positions (top, up, middle and toe) with different erosional and depositional characteristics along three transects. We also utilized Biolog-Eco microplates to investigate the response of soil microbial community function to water erosion. The results indicated the accumulative Rs significantly differed among different sites (P < 0.05), primarily in the order of mid-slope< up-slope< toe-slope< top-slope, with the maximum and minimum values of 18.75 and 9.75 t CO2 ha−1 yr−1, respectively. Moreover, erosion remarkably reduced the soil organic carbon (SOC), nutrients, and the average well color development (AWCD) of the carbon sources in soil microbial communities, while deposition enhanced them. The Structural Equation Modeling (SEM) elucidated the multi-factor driving mechanism of erosional site, soil temperature (Ts5), moisture (SWC10), microbial biomass carbon (MBC), SOC, and Shannon’s index on Rs (R2=84.20 %). More importantly, SEM revealed that Ts5, SWC10, MBC, SOC were the most significant predictors of Rs. In summary, Rs was regulated by the interplay of hydrothermal factors, soil properties, and microbial characteristics under erosion and deposition conditions. There is a need to incorporate additional soil properties other than the hydrothermal double-factor model. Our findings highlighted the importance of water erosion on Rs and clarified its driving mechanism, providing a theoretical basis for better predicting and managing carbon-climate feedbacks.
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