基于Meta分析的生物质炭改良红壤酸度研究
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S156.6

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中国科学院前瞻战略科技先导专项(XDA0440202)、江苏省自然科学基金项目(BK20220163)和江西省自然科学基金项目(20224BAB203031)资助。


Advances in Biochar Amelioration of Red Soil Acidity: A Meta-analysis
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    摘要:

    红壤酸化已成为限制农业生产力提高与生态系统稳定性的关键因素之一。生物质炭作为一种潜在的修复材料,已广泛应用于缓解土壤酸化。本研究基于中国知网(CNKI)与Web of Science数据库中的110篇同行评审文献,通过Meta分析评估了生物质炭施用对酸化红壤的改良效果,并利用ARIMA模型预测了未来红壤pH的变化趋势。研究提出生物质炭改良红壤酸度的4种核心机制:直接中和效应、间接缓冲效应、效果累积效应和结构优化效应。同时,本研究设置了4项假设:①生物质炭类型显著调节直接中和效应的强度;②生物质炭施用量显著影响间接缓冲效应的稳定性;③生物质炭应用年限显著影响效果累积效应的表现;④土壤深度显著影响结构优化效应的表现。研究结果表明,施用生物质炭能显著提高土壤pH(平均提高16.2%),降低交换性酸度(平均下降48.3%),并增加阳离子交换量(平均增加31.0%)。进一步分析表明,生物质炭类型、施用量和土壤深度等因素对酸化红壤改良效果存在显著影响,且土壤pH对生物质炭施用量的响应呈非线性饱和趋势,同时ARIMA时间序列模型预测红壤pH将稳定在5.2。

    Abstract:

    Soil acidification has become one of the key factors limiting agricultural productivity and ecosystem stability. Biochar, as a potential remediation material, has been widely applied to mitigate soil acidification. Based on 110 peer-reviewed articles from the CNKI (China National Knowledge Infrastructure) and Web of Science databases, this study evaluated the effect of biochar application on acidified red soils using meta-analysis and employed the ARIMA model to predict future changes in soil pH, and proposed four core mechanisms by which biochar improves red soil acidity: direct neutralization effect; indirect buffering effect; cumulative effect over time; and structural optimization effect. Additionally, four hypotheses were established: 1) biochar type significantly modulates the strength of the direct neutralization effect; 2) application rate of biochar significantly influences the stability of the indirect buffering effect; 3) application duration of biochar significantly impacts the cumulative effect; 4) soil depth significantly affects the structural optimization effect. The results showed that biochar application can significantly increase soil pH (average increase of 16.2%), reduce exchangeable acidity (average decrease of 48.3%), and enhance cation exchange capacity (average increase of 31.0%). Further analysis revealed significant differences in improvement effects based on biochar type, application rate, and soil depth, with a nonlinear saturation trend observed in soil pH response to application rate of biochar. Using the ARIMA time series model, the red soil pH is predicted to stabilize at 5.2.

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梁坤,朱绪超,王建国,唐俊杰,吴荣军,张虎.基于Meta分析的生物质炭改良红壤酸度研究[J].土壤,2025,57(6):1387-1396. LIANG Kun, ZHU Xuchao, WANG Jianguo, TANG Junjie, WU Rongjun, ZHANG Hu. Advances in Biochar Amelioration of Red Soil Acidity: A Meta-analysis[J]. Soils,2025,57(6):1387-1396

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  • 收稿日期:2025-05-10
  • 最后修改日期:2025-06-26
  • 录用日期:2025-06-27
  • 在线发布日期: 2025-12-05
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