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Global meta-analysis and machine learning reveal the critical role of soil properties in influencing biochar-pesticide interactions

Authors :
Jingyu Wang
Trine Norgaard
Lorenzo Pugliese
Pedro N. Carvalho
Shubiao Wu
Source :
Environment International, Vol 193, Iss , Pp 109131- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Biochar application in soils is increasingly advocated globally for its dual benefits in enhancing agricultural productivity and sequestering carbon. However, lingering concerns persist regarding its environmental impact, particularly concerning its interactions with pesticide residues in soil. Previous research has fragmentarily indicated elevated pesticide residues and prolonged persistence in biochar-amended soil, suggesting a potential adverse consequence of biochar application on pesticide degradation. Yet, conclusive evidence and conditions for this phenomenon remain elusive. To address this gap, we conducted a comprehensive assessment using meta-analysis and machine learning techniques, synthesizing data from 58 studies comprising 386 observations worldwide. Contrary to initial concerns, our findings revealed no definitive increase in pesticide concentrations in soil following biochar application. Moreover, a significant reduction of 66 % in pesticide concentrations within soil organisms, such as plants and earthworms, was observed. The quantitative analysis identified soil organic matter content as a key factor influencing biochar-pesticide interactions, suggesting that applying biochar to soils rich in organic matter is less likely to increase pesticide persistence. This study provides a critical assessment of the environmental fate of pesticides under biochar application, offering valuable guidance for the optimal utilization of both pesticides and biochar in sustainable agricultural practices.

Details

Language :
English
ISSN :
01604120
Volume :
193
Issue :
109131-
Database :
Directory of Open Access Journals
Journal :
Environment International
Publication Type :
Academic Journal
Accession number :
edsdoj.f44b27503d4941fc95f6488b3bc95ff8
Document Type :
article
Full Text :
https://doi.org/10.1016/j.envint.2024.109131