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A comprehensive evaluation of influencing factors of neonicotinoid insecticides (NEOs) in farmland soils across China: First focus on film mulching

Journal of Hazardous Materials 2024 17 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Jie Hou, Lixi Wang, Jinze Wang, Liyuan Chen, Bingjun Han, Yujun Li, Yu Lu, Wenxin Liu

Summary

Researchers evaluated neonicotinoid insecticide residues across 391 farmland soil samples in China, comparing greenhouse, film-mulched, and open field conditions. The study found that greenhouse soils had the highest insecticide residues, followed by film-mulched fields, and identified a significant co-occurrence between neonicotinoid contamination and microplastic pollution in agricultural soils.

Neonicotinoid insecticide (NEO) residues in agricultural soils have concerning and adverse effects on agroecosystems. Previous studies on the effects of farmland type on NEOs are limited to comparing greenhouses with open fields. On the other hand, both NEOs and microplastics (MPs) are commonly found in agricultural fields, but their co-occurrence characteristics under realistic fields have not been reported. This study grouped farmlands into three types according to the covering degree of the film, collected 391 soil samples in mainland China, and found significant differences in NEO residues in the soils of the three different farmlands, with greenhouse having the highest NEO residue, followed by farmland with film mulching and farmland without film mulching (both open fields). Furthermore, this study found that MPs were significantly and positively correlated with NEOs. As far as we know this is the first report to disclose the association of film mulching and MPs with NEOs under realistic fields. Moreover, multiple linear regression and random forest models were used to comprehensively evaluate the factors influencing NEOs (including climatic, soil, and agricultural indicators). The results indicated that the random forest model was more reliable, with MPs, farmland type, and total nitrogen having higher relative contributions.

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