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Microplastics threaten agroecosystem multifunctionality: A global systematic review with national-scale evidence from China
Summary
Microplastics building up in farm soil could shrink crop growth by nearly a quarter and weaken soil health in major farming regions across China, according to this study that combined existing research with mapping tools to predict where the damage will be worst. Since these are some of the world's most important food-growing areas, this matters because it points to a hidden threat to the food supply, and since crops absorb microplastics from soil, it raises questions about how much of this pollution ends up on our plates.
Microplastics are an emerging group of pollutants accumulating in global croplands; yet, while recent syntheses have quantified the global average magnitude of microplastic impacts, their potential spatial manifestation and regional risk patterns across large-scale agrarian systems remain poorly understood. Here, this study combines a mechanistic review with quantitative synthesis and scenario-based spatial modelling to translate global terrestrial microplastic effect-size evidence into 5-km potential risk maps for China's croplands. Under a widespread microplastic contamination scenario, the largest predicted loss occurred in plant productivity (-24.02%), followed by soil enzyme activity (-9.50%), soil fertility (-8.92%), microbial biomass (-6.28%), and microbial diversity (-3.68%), whereas apparent soil carbon accumulation increased (+6.98%). Spatially, multifunctional degradation was concentrated mainly in Northeast China, the North China Plain, and the middle-lower Yangtze River Plain. Random Forest importance analysis, variance partitioning analysis, and partial least squares path modelling indicated that soil texture, climatic water stress, and terrain jointly regulated spatial differences in ecosystem-service sensitivity. This study provides one of the first national-scale spatializations of global terrestrial microplastic effect-size evidence and identifies scenario-based priority regions for differentiated monitoring, field validation, and mitigation.