The challenges of predicting pesticide exposure of honey bees at landscape level

Abstract To evaluate the risks of pesticides for pollinators, we must not only evaluate their toxicity but also understand how pollinators are exposed to these xenobiotics in the field. We focused on this last point and modeled honey bee exposure to pesticides at the landscape level. Pollen pellet s...

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Autores principales:	Noa Simon-Delso, Gilles San Martin, Etienne Bruneau, Christine Delcourt, Louis Hautier
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/5836d2d925cf438eb05ec6320d22dab0
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spelling	oai:doaj.org-article:5836d2d925cf438eb05ec6320d22dab02021-12-02T12:30:11ZThe challenges of predicting pesticide exposure of honey bees at landscape level10.1038/s41598-017-03467-52045-2322https://doaj.org/article/5836d2d925cf438eb05ec6320d22dab02017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03467-5https://doaj.org/toc/2045-2322Abstract To evaluate the risks of pesticides for pollinators, we must not only evaluate their toxicity but also understand how pollinators are exposed to these xenobiotics in the field. We focused on this last point and modeled honey bee exposure to pesticides at the landscape level. Pollen pellet samples (n = 60) from 40 Belgian apiaries were collected from late July to October 2011 and underwent palynological and pesticide residue analyses. Areas of various crops around each apiary were measured at 4 spatial scales. The most frequently detected pesticides were the fungicides boscalid (n = 19, 31.7%) and pyrimethanil (n = 10, 16.7%) and the insecticide dimethoate (n = 10, 16.7%). We were able to predict exposure probability for boscalid and dimethoate by using broad indicators of cropping intensity, but it remained difficult to identify the precise source of contamination (e.g. specific crops in which the use of the pesticide is authorized). For pyrimethanil, we were not able to build any convincing landscape model that could explain the contamination. Our results, combined with the late sampling period, strongly suggest that pesticides applied to crops unattractive to pollinators, and therefore considered of no risk for them, may be sources of exposure through weeds, drift to neighboring plants, or succeeding crops.Noa Simon-DelsoGilles San MartinEtienne BruneauChristine DelcourtLouis HautierNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Noa Simon-Delso Gilles San Martin Etienne Bruneau Christine Delcourt Louis Hautier The challenges of predicting pesticide exposure of honey bees at landscape level
description	Abstract To evaluate the risks of pesticides for pollinators, we must not only evaluate their toxicity but also understand how pollinators are exposed to these xenobiotics in the field. We focused on this last point and modeled honey bee exposure to pesticides at the landscape level. Pollen pellet samples (n = 60) from 40 Belgian apiaries were collected from late July to October 2011 and underwent palynological and pesticide residue analyses. Areas of various crops around each apiary were measured at 4 spatial scales. The most frequently detected pesticides were the fungicides boscalid (n = 19, 31.7%) and pyrimethanil (n = 10, 16.7%) and the insecticide dimethoate (n = 10, 16.7%). We were able to predict exposure probability for boscalid and dimethoate by using broad indicators of cropping intensity, but it remained difficult to identify the precise source of contamination (e.g. specific crops in which the use of the pesticide is authorized). For pyrimethanil, we were not able to build any convincing landscape model that could explain the contamination. Our results, combined with the late sampling period, strongly suggest that pesticides applied to crops unattractive to pollinators, and therefore considered of no risk for them, may be sources of exposure through weeds, drift to neighboring plants, or succeeding crops.
format	article
author	Noa Simon-Delso Gilles San Martin Etienne Bruneau Christine Delcourt Louis Hautier
author_facet	Noa Simon-Delso Gilles San Martin Etienne Bruneau Christine Delcourt Louis Hautier
author_sort	Noa Simon-Delso
title	The challenges of predicting pesticide exposure of honey bees at landscape level
title_short	The challenges of predicting pesticide exposure of honey bees at landscape level
title_full	The challenges of predicting pesticide exposure of honey bees at landscape level
title_fullStr	The challenges of predicting pesticide exposure of honey bees at landscape level
title_full_unstemmed	The challenges of predicting pesticide exposure of honey bees at landscape level
title_sort	challenges of predicting pesticide exposure of honey bees at landscape level
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/5836d2d925cf438eb05ec6320d22dab0
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The challenges of predicting pesticide exposure of honey bees at landscape level

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