Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24150
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
Authors: De, Palma Adriana
Abrahamczyk, Stefan
Aizen, Marcelo A
Albrecht, Matthias
Basset, Yves
Bates, Adam
Blake, Robin J
Boutin, Celine
Bugter, Rob
Connop, Stuart
Cruz-Lopez, Leopoldo
Cunningham, Saul A
Darvill, Ben
Diekotter, Tim
Dorn, Silvia
Contact Email: ben.darvill@bto.org
Keywords: biodiversity
community ecology
Issue Date: Aug-2016
Publisher: Springer Nature
Citation: De Palma A, Abrahamczyk S, Aizen MA, Albrecht M, Basset Y, Bates A, Blake RJ, Boutin C, Bugter R, Connop S, Cruz-Lopez L, Cunningham SA, Darvill B, Diekotter T & Dorn S (2016) Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases, Scientific Reports, 6, Art. No.: 31153.
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 land-use change and intensification, and assess whether bee responses to these pressures vary across 11 regions (Western, Northern, Eastern and Southern Europe; North, Central and South America; Australia and New Zealand; South East Asia; Middle and Southern Africa) and between bumblebees and other bees. Our analyses highlight strong regionally-based responses of total abundance, species richness and Simpson's diversity to land use, caused by variation in the sensitivity of species and potentially in the nature of threats. These results suggest that global extrapolation of models based on geographically and taxonomically restricted data may underestimate the true uncertainty, increasing the risk of ecological surprises.
Type: Journal Article
URI: http://hdl.handle.net/1893/24150
DOI Link: http://dx.doi.org/10.1038/srep31153
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Notes: Additional co-authors: Nicola Downing, Martin H. Entling, Nina Farwig, Antonio Felicioli, Steven J. Fonte, Robert Fowler, Markus Franzén, Dave Goulson, Ingo Grass, Mick E. Hanley, Stephen D. Hendrix, Farina Herrmann, Felix Herzog, Andrea Holzschuh, Birgit Jauker, Michael Kessler, M. E. Knight, Andreas Kruess, Patrick Lavelle, Violette Le Féon, Pia Lentini, Louise A. Malone, Jon Marshall, Eliana Martínez Pachón, Quinn S. McFrederick, Carolina L. Morales, Sonja Mudri-Stojnic, Guiomar Nates-Parra, Sven G. Nilsson, Erik Öckinger, Lynne Osgathorpe, Alejandro Parra-H, Carlos A. Peres, Anna S. Persson, Theodora Petanidou, Katja Poveda, Eileen F. Power, Marino Quaranta, Carolina Quintero, Romina Rader, Miriam H. Richards, T’ai Roulston, Laurent Rousseau, Jonathan P. Sadler, Ulrika Samnegård, Nancy A. Schellhorn, Christof Schüepp, Oliver Schweiger, Allan H. Smith-Pardo, Ingolf Steffan-Dewenter, Jane C. Stout, Rebecca K. Tonietto, Teja Tscharntke, Jason M. Tylianakis, Hans A. F. Verboven, Carlos H. Vergara, Jort Verhulst, Catrin Westphal, Hyung Joo Yoon, and Andy Purvis
Affiliation: Imperial College London
University of Bonn, Germany
Universidad Nacional del Comahue
Agroscope
Smithsonian Tropical Research Institute, Balboa
Nottingham Trent University
University of Reading
Carleton University
Wageningen University
University of East London
El Colegio de la Frontera Sur (ECOSUR)
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
Biological and Environmental Sciences
University of Kiel
ETH Zurich

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