基于碳底物复杂性的土壤激发效应机制解析与预测
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1.山东理工大学资源与环境工程学院;2.1. 山东理工大学资源与环境工程学院,山东淄博255000;3.2. 淄博市农业水土环境污染控制重点实验室,山东淄博255000

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山东省自然科学基金项目(ZR2021QD073)资助


Deciphering and Predicting the Soil Priming Effects Driven by Carbon Substrate Complexity
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Affiliation:

1.College of Resources and Environmental Engineering, Shandong University of Technology, Zibo;2.1. College of Resources and Environmental Engineering, Shandong University of Technology, Zibo, Shandong 255000, China;3.2. Zibo Key Laboratory of Agricultural Soil and Water Environmental Pollution Control, Zibo, Shandong 255000, China

Fund Project:

Supported by the Natural Science Foundation of Shandong Province, China (No. ZR2021QD073)

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    摘要:

    土壤激发效应(Priming effect,PE)是调控土壤有机碳动态的关键过程,但其机制复杂且具有底物依赖性,限制了模型预测的准确性。为厘清其调控机制,基于全球2 122组观测数据,结合Meta分析、基于过程的模型分析、敏感性检验以及随机森林等方法,系统解析了不同碳底物条件下PE的机制、动态过程及其主控因子。结果表明:1)简单与复杂碳输入均诱发了显著的正PE,但强度在生态系统间差异明显,即农田的PE强度(约65%)显著高于森林生态系统(约33%),多变量分析揭示这种差异主要源于气候、土壤理化性质与微生物群落结构特征沿环境梯度的耦合变异。2)激发路径具有显著的底物特异性。简单碳输入主要通过微生物触发效应诱导产生强烈的正向表观PE;而复杂碳输入则主要通过底物优先利用机制抑制了原有土壤有机质分解,并产生负的真实PE。3)基于过程模型的结果进一步表明,PE的动态过程受底物质量控制,简单碳输入呈现“持续正向型”与“瞬态型”两类模式,而复杂碳输入则以“高表观-负真实型”模式为主,参数敏感性分析表明,该模式主要受微生物维持代谢的制约,反映了微生物在不同底物条件下的能量分配策略差异。4)此外,PE的主控因子具有层级分化特征,表观PE主要受微生物生物量碳与土壤碳氮比驱动;真实PE的主控因子则依赖于底物类型,在简单碳情景下以土壤有机碳含量与pH为主导,而在复杂碳情景下则转为以土壤碳氮比与外源碳添加量为主导。本研究通过解析不同碳底物输入条件下的PE控制机制,为土壤有机碳的准确预测和全球气候变化背景下的土壤碳平衡评估提供科学支撑。

    Abstract:

    【Objective】The priming effect (PE) is a key process in regulating soil organic carbon dynamics, but its mechanism is complex and substrate dependent, which limits the accuracy of model predictions. Therefore, it is necessary to clarify its regulatory mechanism. 【Method】This study is based on 2 122 sets of global observational data, combined with meta-analysis, process-based model analysis, sensitivity testing, and random forest methods, to systematically analyze the mechanism, dynamic process, and main controlling factors of PE under different carbon substrate conditions. 【Result】The results show that: 1) Both simple and complex carbon inputs induce significant positive PE, but the intensity varies significantly among ecosystems, with farmland PE intensity (about 65%) significantly higher than forest ecosystems (about 33%). Multivariate analysis reveales that this difference is mainly due to the coupled variation of climate, soil physicochemical properties, and microbial community structure characteristics along environmental gradients. 2) The priming pathway exhibits significant substrate specificity. Simple carbon input mainly induces strong positive PE through microbial triggering effects, while complex carbon input mainly inhibits the decomposition of native soil organic matter and generates negative real PE through the substrate priority utilization mechanism. 3) The results based on the process model further indicate that the dynamic process of PE is controlled by substrate quality. Simple carbon inputs exhibit two patterns: “continuous positive” and “transient”, while complex carbon input is dominated by a “high apparent-negative real” pattern. Also, parameter sensitivity analysis shows that this model is mainly constrained by microbial maintenance metabolism, reflecting the differences in energy allocation strategies of microorganisms under different substrate conditions. 4) Besides, the main controlling factors of PE have hierarchical differentiation characteristics, and the apparent PE is mainly driven by microbial biomass carbon and soil carbon-to-nitrogen ratio. Moreover, the main controlling factors of real PE depend on substrate type. In simple carbon scenarios, soil organic carbon content and pH are dominant, while in complex carbon scenarios, the governing factors shift to soil carbon-to-nitrogen ratio and exogenous carbon addition. 【Conclusion】By elucidating the controlling mechanisms of PE under different carbon substrate input conditions, this study provides evidence for the accurate prediction of soil organic carbon and the assessment of soil carbon balance in the context of global climate change.

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杨庆润,刘凯,许玉芝,冯欣玉,孙琳.基于碳底物复杂性的土壤激发效应机制解析与预测[J].土壤学报,2026,63(4). DOI:10.11766/trxb202507040325 YANG Qingrun, LIU Kai, XU Yuzhi, FENG Xinyu, SUN Lin. Deciphering and Predicting the Soil Priming Effects Driven by Carbon Substrate Complexity[J]. Acta Pedologica Sinica,2026,63(4).

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  • 收稿日期:2025-07-04
  • 最后修改日期:2026-03-13
  • 录用日期:2026-04-17
  • 在线发布日期: 2026-04-20
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