The importance of soil and vegetation characteristics for establishing ground-nesting bee aggregations

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Tsiolis, K. orcid id iconORCID: https://orcid.org/0000-0002-6057-3981, Potts, S. G. orcid id iconORCID: https://orcid.org/0000-0002-2045-980X, Garratt, M. orcid id iconORCID: https://orcid.org/0000-0002-0196-6013, Tilston, E., Burman, J. orcid id iconORCID: https://orcid.org/0000-0003-3888-4238, Rintoul-Hynes, N. orcid id iconORCID: https://orcid.org/0000-0002-8096-5552 and Fountain, M. (2022) The importance of soil and vegetation characteristics for establishing ground-nesting bee aggregations. Journal of Pollination Ecology, 32 (17). pp. 186-200. ISSN 1920-7603 doi: 10.26786/1920-7603(2022)682

Abstract/Summary

Most bee species are ground-nesters, yet knowledge on the nesting behaviour of this diverse group remains sparse. Evidence on the effectiveness of ground-nesting bee species as crop pollinators is growing, but there is limited information on their nesting habits and preferences and how to manage habitats to enhance populations on farms. In this study, artificially prepared plots of bare soil were constructed with the aim to attract ground-nesting bees to nest in a commercial orchard in Kent, UK. Nine soil parameters were measured to determine their preferred soil properties: hydraulic conductivity, soil compaction, soil moisture, soil temperature, soil stoniness, soil organic matter, soil root biomass, soil texture and vegetation cover. Eighteen non-parasitic ground-nesting bee species (7 Andrena, 9 Lasioglossum, 1 Halictus and 1 Colletes spp.) were recorded in the study plots. Soil stoniness and soil temperature at 10cm depth were positively correlated, and vegetation cover and hydraulic conductivity were negatively correlated with the number of ground-nesting bees on the plots. We show that artificially created habitats can be exploited for nesting by several ground-nesting bee species. This study’s findings can inform management practices to enhance ground-nesting bee populations in agricultural and urban areas.

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Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/109948
Identification Number/DOI 10.26786/1920-7603(2022)682
Refereed Yes
Divisions Life Sciences > School of Agriculture, Policy and Development > Department of Sustainable Land Management > Centre for Agri-environmental Research (CAER)
Publisher Enviroquest Ltd
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