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

Adam Kleczkowski, Ciaran Ellis, Nick Hanley and David Goulson

Ecological Modelling, 2017, vol. 360, issue C, 53-62

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.

Keywords: Pollination; Pesticides; Wild bees; Commercial bees; Ecological-economic modelling (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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Related works:
Working Paper: Pesticides and Bees: ecological-economic modelling of bee populations on farmland (2016)
Working Paper: Pesticides and Bees:Ecological-Economic Modelling of Bee Populations on Farmland (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:360:y:2017:i:c:p:53-62

DOI: 10.1016/j.ecolmodel.2017.06.008

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