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Pesticides and bees : ecological-economic modelling of bee populations on farmland

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Hanley_2017_EM_PesticidesAndBees_AAM.pdf (850.2Kb)
Date
24/09/2017
Author
Kleczkowski, Adam
Ellis, Ciaran
Hanley, Nick
Goulson, David
Keywords
Pollination
Pesticides
Wild bees
Commercial bees
Ecological-economic modelling
G Geography (General)
S Agriculture (General)
T-NDAS
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Abstract
Production of insect-pollinated crops typically relies on both pesticide use and pollination, leading to a potential conflict between these two inputs. In this paper we combine ecological modelling with economic analysis to investigate the effects of pesticide use on wild and commercial bees, whilst allowing farmers to partly offset the negative effects of pesticides on bee populations by creating more on-farm bee habitat. Farmers have incentives to invest in creating wild bee habitat to increase pollination inputs due to the contribution this makes to yields. However, the optimal allocation of on-farm habitat strongly depends on the negative effects of pesticides, with a threshold-like behaviour at a critical level of the impairment. When this threshold is crossed, the population of wild bees becomes locally extinct and their availability to pollinate breaks down. We show that availability of commercial bees masks this decrease in pollination services which would otherwise incentivise farmers to conserve the wild pollinator population. Indeed, if commercial bees are available, optimum profit may be achieved by providing no habitat at all for wild bees, and allowing these wild pollinators to go extinct.
Citation
Kleczkowski , A , Ellis , C , Hanley , N & Goulson , D 2017 , ' Pesticides and bees : ecological-economic modelling of bee populations on farmland ' , Ecological Modelling , vol. 360 , pp. 53-62 . https://doi.org/10.1016/j.ecolmodel.2017.06.008
Publication
Ecological Modelling
Status
Peer reviewed
DOI
https://doi.org/10.1016/j.ecolmodel.2017.06.008
ISSN
0304-3800
Type
Journal article
Rights
© 2017 Elsevier B.V. All rights reserved. This work has been made available online in accordance with the publisher’s policies. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version. The final published version of this work is available at: https://doi.org/10.1016/j.ecolmodel.2017.06.008
Description
Authors thank the European Investment Bank (EIB) University Research Action Programme for financial support of this work through the ECO-DELIVERY project.
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/15415

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