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Global Meta-Analysis Integrated with Machine Learning Assesses Context-Dependent Microplastic Effects on Soil Microbial Biomass Carbon and Nitrogen

Refubium (Universitätsbibliothek der Freien Universität Berlin) 2025
Yangzhou Xiang, Yangzhou Xiang, Matthias C. Rillig, Matthias C. Rillig, Josep Peñuelas, Luca Nizzetto, Luca Nizzetto, Jordi Sardans, Long Jian, Jiachang Zhang, Jiachang Zhang, Rui Li, Rui Li, Ying Liu, Ying Liu, Yang Luo, Yang Luo, Bin Yao, Bin Yao, Yuan Li, Yuan Li

Summary

This meta-analysis pooled data from 90 studies to assess how microplastics in soil affect microbial biomass, which is critical for healthy soil function. The research found that in controlled lab settings, microplastics increased microbial biomass carbon by about 10%, but the effect varied greatly depending on plastic type, size, and soil conditions. These soil-level changes matter because altered microbial activity can affect nutrient cycling in agricultural soils that produce the food people eat.

Polymers
Body Systems
Study Type Review

Microplastics (MPs) in soil can paradoxically stimulate microbial biomass in a highly context-dependent manner, potentially inducing decomposition and affecting carbon and nitrogen cycles. We conducted a global meta-analysis with 90 studies (710 observations of microbial biomass carbon (MBC), 354 of microbial biomass nitrogen (MBN)) integrated with machine learning to quantify MPs effects on soil microbial biomass. Field studies showed no significant effects, contrasting with controlled experiments where MPs increased MBC by 9.6% (95% CI: 7.2–11.9%) and MBN by 10.4% (6.8–14.0%). Biodegradable plastics (PBAT, PLA) induced stronger effects (36.1–67.6%) than conventional polymers (PE, PP, PS, PVC). Temperature emerged as the dominant factor, with a contrasting MPs effect on MBC (positive) and MBN (negative) at higher temperatures, suggesting potential decoupling of carbon and nitrogen cycles under warming conditions. Machine learning models (XGBoost, R2 = 0.62) significantly outperformed linear regressions (R2 = 0.02–0.05), revealing nonlinear responses and threshold effects. Stimulatory effects were most significant for medium-sized MPs (30–90 μm), at high concentrations (>10 g kg–1), and in soils with intermediate fertility, highlighting context-dependent risks to soil carbon and nitrogen cycling.

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