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Predicting soil neonicotinoid content in agricultural landscapes using indirect indicators.

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Title: Predicting soil neonicotinoid content in agricultural landscapes using indirect indicators.
Authors: Buron, Maxime1 (AUTHOR) maxime.buron@uclouvain.be, Foguenne, Émile1 (AUTHOR), Blondel, Alodie2 (AUTHOR), Marchetti, Thomas2 (AUTHOR), Jeannerod, Léna1 (AUTHOR), Jacquemart, Anne-Laure1 (AUTHOR), Defourny, Pierre1 (AUTHOR), Radoux, Julien1 (AUTHOR), Agnan, Yannick1 (AUTHOR)
Source: Journal of Hazardous Materials. Jan2026, Vol. 501, pN.PAG-N.PAG. 1p.
Subjects: Neonicotinoids, Soil pollution, Agricultural history, Environmental policy, Agricultural landscape management, Pollinators, Landscapes, Agricultural chemicals
Geographic Terms: Belgium
Abstract: Neonicotinoid insecticides are a major driver of pollinator decline. Due to their persistence and mobility in soil, they can contaminate non-target vegetation through runoff or dust, reaching pollinator resources. However, predicting soil contamination is challenging, especially where pesticide use data is lacking. This study assessed the potential of using proxies such as cropping history and landscape structure to predict neonicotinoid content in soils. We analyzed seven neonicotinoids in 86 sites in agricultural landscapes of Belgium. Neonicotinoids were detected in 78 % of sites, with imidacloprid and clothianidin being the most frequently detected (up to 16.3 µg kg⁻¹). In 69 % of sites, contamination occurred without recent recorded treatment and for 33 %, contamination occurred with no recorded treatment history. Risk exposure through soil contact was often high, particularly for clothianidin (44 % of hazard quotient values >1) and imidacloprid (19 %). In potentially treated sites, the total number of treatments was a better predictor of contamination than time since last potential application. Landscape structure poorly predicted contamination, whether when reflecting subsurface water flow or dust dispersion in sites without recorded treatment history. Our research shows that predicting soil contamination at large scales can be approached using treatment history but may be difficult without accounting for contamination in non-arable sites. Further research is needed to inform agri-environmental policies with realistic contamination patterns. [Display omitted] • Neonicotinoids were detected in 78 % of sites, mainly imidacloprid and clothianidin. • Residues found in untreated sites, suggesting contamination from surrounding areas. • Number of treatments was a better proxy than time since last treatment. • Dust dispersion and runoff showed weak performance as proxies of contamination. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Hazardous Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 190885193
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Predicting soil neonicotinoid content in agricultural landscapes using indirect indicators.
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  Data: <searchLink fieldCode="AR" term="%22Buron%2C+Maxime%22">Buron, Maxime</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> maxime.buron@uclouvain.be</i><br /><searchLink fieldCode="AR" term="%22Foguenne%2C+Émile%22">Foguenne, Émile</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Blondel%2C+Alodie%22">Blondel, Alodie</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Marchetti%2C+Thomas%22">Marchetti, Thomas</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jeannerod%2C+Léna%22">Jeannerod, Léna</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jacquemart%2C+Anne-Laure%22">Jacquemart, Anne-Laure</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Defourny%2C+Pierre%22">Defourny, Pierre</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Radoux%2C+Julien%22">Radoux, Julien</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Agnan%2C+Yannick%22">Agnan, Yannick</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Hazardous+Materials%22">Journal of Hazardous Materials</searchLink>. Jan2026, Vol. 501, pN.PAG-N.PAG. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Neonicotinoids%22">Neonicotinoids</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+pollution%22">Soil pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+history%22">Agricultural history</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+policy%22">Environmental policy</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+landscape+management%22">Agricultural landscape management</searchLink><br /><searchLink fieldCode="DE" term="%22Pollinators%22">Pollinators</searchLink><br /><searchLink fieldCode="DE" term="%22Landscapes%22">Landscapes</searchLink><br /><searchLink fieldCode="DE" term="%22Agricultural+chemicals%22">Agricultural chemicals</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Belgium%22">Belgium</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Neonicotinoid insecticides are a major driver of pollinator decline. Due to their persistence and mobility in soil, they can contaminate non-target vegetation through runoff or dust, reaching pollinator resources. However, predicting soil contamination is challenging, especially where pesticide use data is lacking. This study assessed the potential of using proxies such as cropping history and landscape structure to predict neonicotinoid content in soils. We analyzed seven neonicotinoids in 86 sites in agricultural landscapes of Belgium. Neonicotinoids were detected in 78 % of sites, with imidacloprid and clothianidin being the most frequently detected (up to 16.3 µg kg⁻¹). In 69 % of sites, contamination occurred without recent recorded treatment and for 33 %, contamination occurred with no recorded treatment history. Risk exposure through soil contact was often high, particularly for clothianidin (44 % of hazard quotient values >1) and imidacloprid (19 %). In potentially treated sites, the total number of treatments was a better predictor of contamination than time since last potential application. Landscape structure poorly predicted contamination, whether when reflecting subsurface water flow or dust dispersion in sites without recorded treatment history. Our research shows that predicting soil contamination at large scales can be approached using treatment history but may be difficult without accounting for contamination in non-arable sites. Further research is needed to inform agri-environmental policies with realistic contamination patterns. [Display omitted] • Neonicotinoids were detected in 78 % of sites, mainly imidacloprid and clothianidin. • Residues found in untreated sites, suggesting contamination from surrounding areas. • Number of treatments was a better proxy than time since last treatment. • Dust dispersion and runoff showed weak performance as proxies of contamination. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Hazardous Materials is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190885193
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.jhazmat.2025.140794
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Neonicotinoids
        Type: general
      – SubjectFull: Soil pollution
        Type: general
      – SubjectFull: Agricultural history
        Type: general
      – SubjectFull: Environmental policy
        Type: general
      – SubjectFull: Agricultural landscape management
        Type: general
      – SubjectFull: Pollinators
        Type: general
      – SubjectFull: Landscapes
        Type: general
      – SubjectFull: Agricultural chemicals
        Type: general
      – SubjectFull: Belgium
        Type: general
    Titles:
      – TitleFull: Predicting soil neonicotinoid content in agricultural landscapes using indirect indicators.
        Type: main
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            NameFull: Buron, Maxime
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            NameFull: Foguenne, Émile
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            NameFull: Blondel, Alodie
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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              Value: 501
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            – TitleFull: Journal of Hazardous Materials
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