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Influence of biodegradable microplastics on soil carbon cycling: Insights from soil respiration, enzyme activity, carbon use efficiency and microbial community

Environmental Research 2024 34 citations

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Researchers investigated how biodegradable microplastics affect carbon cycling in soil by measuring respiration, enzyme activity, and microbial communities over 64 days. They found that certain biodegradable plastics, particularly polyhydroxyalkanoates, dramatically increased soil carbon emissions by up to 665% and significantly altered microbial community structure. The study suggests that even biodegradable plastics can substantially disrupt soil ecosystem processes when they break down into microplastic-sized particles.

Polymers

The rising prevalence of biodegradable microplastics (BMPs) in soils has raised concerns about their impacts on soil ecosystems and carbon cycling. This study investigates the effects of different BMPs on soil carbon cycling, focusing on soil respiration, enzyme activities, and carbon use efficiency (CUE) from C-labeled dissolved organic carbon (DOC) in an upland soil. The BMPs tested were polybutylene adipate terephthalate (PBAT), polyhydroxyalkanoates (PHA), and polylactic acid (PLA), at high (H, 1% w/w) and low (L, 0.1% w/w) concentrations. Over a 64-day incubation, cumulative CO emissions increased in the PHA_L, PHA_H, and PLA_H treatments, with the highest rise of 665% PHA_H treatment. Microbial biomass carbon (MBC) ranged from 97.73 ± 3.03 mg C kg⁻ in the control to 223.09 ± 7.91 mg C kg⁻ in PHA_H, with microbial CUE peaking at 0.26 in PHA_H. Enzymatic activities were notably affected: β-glucosidase (BG) increased by 50% in PLA_H, while cellobiohydrolase (CBH) activity decreased by up to 62% in PBAT_H and PLA_L. N-acetylglucosaminidase (NAG) and phosphatase (AP) activities were highest in PHA_H, indicating enhanced nutrient cycling. Microbial community structure based on PLFAs was significantly altered, with total PLFA content increasing by 191% in PHA_H. Correlation analysis and partial least squares path modeling (PLS-PM) revealed that BMP concentration, DOC content, and microbial diversity were positively correlated with microbial CUE. This study highlights the significant role of BMPs in influencing soil carbon cycling, primarily through their effects on microbial diversity and soil enzyme activities.

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