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The challenges of predicting pesticide exposure of honey bees at landscape level
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476569/ https://www.ncbi.nlm.nih.gov/pubmed/28630412 http://dx.doi.org/10.1038/s41598-017-03467-5 |
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author | Simon-Delso, Noa San Martin, Gilles Bruneau, Etienne Delcourt, Christine Hautier, Louis |
author_facet | Simon-Delso, Noa San Martin, Gilles Bruneau, Etienne Delcourt, Christine Hautier, Louis |
author_sort | Simon-Delso, Noa |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5476569 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54765692017-06-23 The challenges of predicting pesticide exposure of honey bees at landscape level Simon-Delso, Noa San Martin, Gilles Bruneau, Etienne Delcourt, Christine Hautier, Louis Sci Rep Article 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. Nature Publishing Group UK 2017-06-19 /pmc/articles/PMC5476569/ /pubmed/28630412 http://dx.doi.org/10.1038/s41598-017-03467-5 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Simon-Delso, Noa San Martin, Gilles Bruneau, Etienne Delcourt, Christine Hautier, Louis The challenges of predicting pesticide exposure of honey bees at landscape level |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5476569/ https://www.ncbi.nlm.nih.gov/pubmed/28630412 http://dx.doi.org/10.1038/s41598-017-03467-5 |
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