数字农科院2.0

Factors affecting the distribution of microplastics in soils of China

文献类型： 外文期刊

作者： Yin Liu;Matthias C. Rillig;Quan Liu;Jingjing Huang;Muhammad Amjad Khan;Xiaohui Li;Qin Liu;Qingqing Wang;Xuesong Su;Linyi Lin;Yang Bai;Genmao Guo;Yi Huang;Yong Sik Ok;Shan Hu;Junfeng Wang;Honggang Ni;Qing Huang

作者机构：

关键词： Agriculture;Effecting factors;Microplastic distribution;Microplastic heterogeneity;Socio-economic factors

期刊名称： Frontiers of Environmental Science and Engineering

ISSN： 2095-2201

年卷期： 2023 年 17 卷 9 期

页码：

收录情况： SCIE（2023版） ; ; EI（2023版） ; ; CSCD（2023-2024年度）

摘要： Microplastics (MPs) are found worldwide in high abundance, posing a potential threat to ecosystems. Despite the ubiquity of MPs in the environment, very little is known about the regional distribution of MPs and underlying factors affecting this distribution in the field, which likely include human activity, but also features of the environment itself. Here, out of a total of 1157 datapoints investigated in 53 Chinese studies, 9.68% datapoints were removed as outliers in the heterogeneity analysis. This review revealed that the abundance of MPs was highly heterogeneous. In addition, microplastic (MP) distribution maps based on China demonstrated that the highest abundance of MPs tended to occur near large rivers and central land affected by the intersection of two monsoons. The model-fitting and previous studies showed that MP abundance in China was correlated with longitude, agricultural mulching film usage per capita, temperature, and precipitation. However, due to the heterogeneity of MPs and the low matching degree between the current environmental data and the sampling points, this pattern was not as evident as reported in any single study. Factors affecting the distribution of MPs can not be captured by linear relationships alone, and systematic selection of suitable environmental factors and further model optimization are needed to explore the cause of MP pollution in soil. Overall, this review revealed an uneven distribution of MPs and serves as a reference for model prediction to assess and control plastic pollution in natural soil environments. [Figure not available: see fulltext.].

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