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Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases
ISSN
2045-2322
Date Issued
2016
Author(s)
Palma, Adriana de
Abrahamczyk, Stefan
Aizen, Marcelo A.
Albrecht, Matthias
Basset, Yves
Bates, Adam J.
Blake, Robin J.
Boutin, Céline
Bugter, Rob
Connop, Stuart
Cruz-López, Leopoldo
Cunningham, Saul A.
Darvill, Ben
Diekötter, Tim
Dorn, Silvia
Downing, Nicola
Farwig, Nina
Felicioli, Antonio
Fonte, Steven J.
Fowler, Robert E.
Franzén, Markus
Goulson, Dave
Hanley, Mick E.
Hendrix, Stephen D.
Herrmann, Farina
Herzog, Felix
Jauker, Birgit
Kessler, Michael
Knight, Mairi E.
Lavelle, Patrick
Le Féon, Violette
Lentini, Pia E.
Malone, Louise A.
Marshall, E. Jon P.
Pachón, Eliana Martínez
McFrederick, Quinn S.
Morales, Carolina L.
Mudri-Stojnic, Sonja
Nates-Parra, Guiomar
Nilsson, Sven G.
Öckinger, Erik
Osgathorpe, Lynne M.
Parra-H, Alejandro
Peres, Carlos A.
Persson, Anna S.
Petanidou, Theodora
Power, Eileen F.
Quaranta, Marino
Quintero, Carolina
Rader, Romina
Richards, Miriam H.
Roulston, T.
Rousseau, Laurent
Sadler, Jonathan P.
Samnegård, Ulrika
Schellhorn, Nancy A.
Schüepp, Christof
Schweiger, Oliver
Smith-Pardo, Allan H.
Stout, Jane C.
Tonietto, Rebecca K.
Verboven, Hans A. F.
Vergara, Carlos H.
Verhulst, Jort
Yoon, Hyung Joo
Purvis, Andy
DOI
10.1038/srep31153
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.
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