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Machine learning models reveal how biochar amendment affects soil microbial communities

文献类型： 外文期刊

作者： Lei, Chaotang 1 ; Lu, Tao 1 ; Qian, Haifeng 1 ; Liu, Yuxue 2 ;

作者机构： 1.Zhejiang Univ Technol, Coll Environm, Hangzhou 310032, Peoples R China

2.Zhejiang Acad Agr Sci, Inst Environm Resource Soil & Fertilizers, State Key Lab Managing Biot & Chem Threats Qual &, Hangzhou 310021, Peoples R China

3.Engn Res Ctr Biochar Zhejiang Prov, Hangzhou 310021, Peoples R China

关键词： Biochar; Soil health; Soil microecosystem; Machine learning; Random forest; Co-occurrence network

期刊名称：BIOCHAR （ 影响因子：12.7； 五年影响因子：13.1 ）

ISSN： 2524-7972

年卷期： 2023 年 5 卷 1 期

页码：

收录情况： SCI

摘要： The biochar amendment plays a vital role in maintaining soil health largely due to its effects on soil microbial communities. However, individual cases and the variability in biochar properties are not sufficient to draw universal conclusions. The present study aimed to reveal how the biochar application affects soil microbial communities. Metadata of 525 ITS and 1288 16S rRNA sequencing samples from previous studies were reanalyzed and machine learning models were applied to explore the dynamics of soil microbial communities under biochar amendment. The results showed that biochar considerably changed the soil bacterial and fungal community composition and enhanced the relative abundances of Acidobacteriota, Firmicutes, Basidiomycota, and Mortierellomycota. Biochar enhanced the robustness of the soil microbial community but decreased the interactions between fungi and bacteria. The random forest model combined with tenfold cross-validation were used to predict biomarkers of biochar response, indicating that potentially beneficial microbes, such as Gemmatimonadetes, Microtrichales, Candidatus_Kaiserbacteria, and Pyrinomonadales, were enriched in the soil with biochar amendment, which promoted plant growth and soil nutrient cycling. In addition, the biochar amendment enhanced the ability of bacteria to biosynthesize and led to an increase in fungal nutrient patterns, resulting in an increase in the abundance and diversity of saprophytic fungi that enhance soil nutrient cycling. The machine learning model more accurately revealed how biochar affected soil microbial community than previous independent studies. Our study provides a basis for guiding the reasonable use of biochar in agricultural soil and minimizing its negative effects on soil microecosystem. Biochar considerably affected the soil community composition of bacteria and fungi.14 bacterial orders and 7 fungal families were enriched in biochar-amended soils.Biochar enhanced positive interactions and the stability of soil community.Biochar led to an increase in soil fungal nutrient patterns.

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