组合学习算法,以阐明核心微生物群对碳含量和降解特性在土壤总量层面的影响
Fengwu Zhou1, Yunbin Jiang2, Cheng Han2
1Jiangsu Provincial Key Laboratory of Materials Cycling and Pollution Control, School of Geography, Nanjing Normal University, Nanjing 210023, China.
The Science of the total environment
|July 6, 2024
概括
核心土壤微生物组为土壤有机碳 (OC) 含量和分解提供了更深入的洞察力. 施肥对土壤碳有影响,细菌核心微生物群在聚合动力学中发挥着关键作用.
科学领域:
- 土壤科学 土壤科学
- 微生物学 微生物学
- 环境科学 环境科学
背景情况:
- 土壤聚合物对于土壤有机碳 (OC) 的积累和稳定性至关重要.
- 了解不同聚合物大小内的微生物社区动态对于土壤健康和碳循环至关重要.
- 施肥实践显著影响土壤特性和微生物群落.
研究的目的:
- 调查核心土壤微生物群是否能更好地解释与更广泛的微生物群落相比,在聚合物大小中OC含量和分解的变化.
- 评估长期施肥对土壤聚合物特性和相关微生物群落的影响.
- 确定细菌和真菌核心微生物组在影响不同总分数内的OC含量和分解率方面的作用.
主要方法:
- 利用了32年的受精实验,使用集体学习算法集成机器学习和网络推理.
- 分析了土壤有机碳 (OC) 含量和分解指数 (DDI) 在各种聚合物大小.
- 采用主要协调分析 (PCoA) 和阿多尼斯分析来评估由核心微生物组解释的社区差异.
- 进行了Mantle测试以确定环境因素 (如pH) 的影响,以及线性相关性分析以预测OC含量和DDI.
主要成果:
- 核心微生物组解释了PCoA和阿多尼斯分析中的平均26%和20%的变异,分别在受精时.
- 与对照组相比,无机和有机肥的分解指数 (DDI) 分别下降了31%和38%.
- 真菌核心微生物群在较大的宏积分 (>2000微米) 中主导了OC含量和DDI,而细菌核心微生物群在较小的聚合物 (<2000微米) 中显著影响了DDI.
- 在所有总体尺寸中,pH是影响核心微生物组组成的最重要的环境因素.
- 核心微生物组结构准确地预测了OC含量和DDI总和 (R2 > 0.8).
结论:
- 核心微生物组为总有机碳含量和分解的变化提供了更深入的见解.
- 施肥显著改变了土壤的聚合物特性和微生物社区结构.
- 细菌核心微生物组在影响土壤聚合物动态和碳循环方面发挥着特别重要的作用.
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