Journal article

Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases

A De Palma, S Abrahamczyk, MA Aizen, M Albrecht, Y Basset, A Bates, RJ Blake, C Boutin, R Bugter, S Connop, L Cruz-López, SA Cunningham, B Darvill, T Diekötter, S Dorn, N Downing, MH Entling, N Farwig, A Felicioli, SJ Fonte Show all

Scientific Reports | NATURE PORTFOLIO | Published : 2016

Abstract

Land-use change and intensification threaten bee populations worldwide, imperilling pollination services. Global models are needed to better characterise, project, and mitigate bees' responses to these human impacts. The available data are, however, geographically and taxonomically unrepresentative; most data are from North America and Western Europe, overrepresenting bumblebees and raising concerns that model results may not be generalizable to other regions and taxa. To assess whether the geographic and taxonomic biases of data could undermine effectiveness of models for conservation policy, we have collated from the published literature a global dataset of bee diversity at sites facing la..

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University of Melbourne Researchers

Grants

Awarded by Natural Environment Research Council


Funding Acknowledgements

We are grateful to all members of the PREDICTS team who aided in the collation and curation of data. We are especially grateful to all the many researchers who have made their data available to us. This paper is a contribution from the Imperial College Grand Challenges in Ecosystems and the Environment Initiative. The PREDICTS project is endorsed by the GEO BON. We thank BBSRC (grant BB/F017324/1 to ADP) and NERC (grant NE/J011193/1 and NE/M014533/1 to AP) for support.