Identifying regions of risk to honey bees from Zika vector control in the USA
dc.contributor.author | Bartlett, LJ | |
dc.contributor.author | Carlson, CJ | |
dc.contributor.author | Boots, M | |
dc.date.accessioned | 2019-01-03T10:18:23Z | |
dc.date.issued | 2018-10-26 | |
dc.description.abstract | Managed honey bees are a crucial component of many countries’ agricultural systems. Critically, it is now well established that honey bees are faced with multiple threats, and therefore, it is important that we determine and mitigate new threats. The emergence of Zika virus has introduced the new threat of insecticidal mosquito control leading to honey bee losses, with demand from beekeepers for a comprehensive risk assessment to help mitigate losses. Here, we present novel estimates of county-level honey bee colony densities across the USA and combine these new data with different projections of Zika virus suitability to assess the magnitude of this risk. We find that up to 13% of colonies can reasonably be expected to experience elevated risk of damaging pesticide exposure, according to interpretation of current Zika virus projections. We show a significant positive correlation between areas of Zika suitability and honey bee colony density. Increased risk of colony loss to pesticides are found in the South-East, Gulf Coast, Florida, and the California Central Valley. We highlight certain states which are better placed to mitigate threats, recommending other states look towards these schemes to protect apiculture from both government and commercial pesticide application. | en_GB |
dc.description.sponsorship | Natural Environment Research Council (NERC) | en_GB |
dc.description.sponsorship | National Science Foundation (NSF) | en_GB |
dc.identifier.citation | Vol. 57, pp. 709 - 719 | en_GB |
dc.identifier.doi | 10.1080/00218839.2018.1494914 | |
dc.identifier.grantnumber | NE/L002434/1 | en_GB |
dc.identifier.grantnumber | DBI-1639145 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/35323 | |
dc.language.iso | en | en_GB |
dc.publisher | Taylor & Francis for International Bee Research Association | en_GB |
dc.rights | © 2018 The Author(s) Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | en_GB |
dc.subject | Zika virus | en_GB |
dc.subject | Apis mellifera | en_GB |
dc.subject | pesticide | en_GB |
dc.subject | vector control | en_GB |
dc.subject | honey bee | en_GB |
dc.subject | pollinator | en_GB |
dc.title | Identifying regions of risk to honey bees from Zika vector control in the USA | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-01-03T10:18:23Z | |
dc.identifier.issn | 0021-8839 | |
dc.description | This is the final version. Available on open access from Taylor & Francis via the DOI in this record | en_GB |
dc.description | Data accessibility: All novel data presented in this analysis is made available in the Supporting Information. Zika suitability projections used are available in association with their original publication. | en_GB |
dc.identifier.journal | Journal of Apicultural Research | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2018-04-26 | |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2018-10-26 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-01-03T10:14:30Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-01-03T10:18:29Z | |
refterms.panel | A | en_GB |
refterms.depositException | publishedGoldOA |
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Except where otherwise noted, this item's licence is described as © 2018 The Author(s) Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.