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

De Palma, Adriana; Abrahamczyk, Stefan; Aizen, Marcelo A.; Albrecht, Matthias; Basset, Yves; Bates, Adam; Blake, Robin J.; Boutin, Céline; Bugter, Rob and Connop, Stuart, et al. (2016) In Scientific Reports 6.
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... (More)

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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Scientific Reports
volume
6
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Nature Publishing Group
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  • scopus:84982156982
  • wos:000381201000001
ISSN
2045-2322
DOI
10.1038/srep31153
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English
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yes
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5c7510b8-a51a-4ff8-bd5c-56439689b9fc
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2016-12-06 14:42:18
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@article{5c7510b8-a51a-4ff8-bd5c-56439689b9fc,
  abstract     = {<p>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.</p>},
  articleno    = {31153},
  author       = {De Palma, Adriana and Abrahamczyk, Stefan and Aizen, Marcelo A. and Albrecht, Matthias and Basset, Yves and Bates, Adam and Blake, Robin J. and Boutin, Céline and Bugter, Rob and Connop, Stuart and Cruz-López, Leopoldo and Cunningham, Saul A. and Darvill, Ben and Diekötter, Tim and Dorn, Silvia and Downing, Nicola and Entling, Martin H. and Farwig, Nina and Felicioli, Antonio and Fonte, Steven J. and Fowler, Robert and Franzén, Markus and Goulson, Dave and Grass, Ingo and Hanley, Mick E. and Hendrix, Stephen D. and Herrmann, Farina and Herzog, Felix and Holzschuh, Andrea and Jauker, Birgit and Kessler, Michael and Knight, M. E. and Kruess, Andreas and Lavelle, Patrick and Le Féon, Violette and Lentini, Pia and Malone, Louise A. and Marshall, Jon and Pachón, Eliana Martínez and McFrederick, Quinn S. and Morales, Carolina L. and Mudri-Stojnic, Sonja and Nates-Parra, Guiomar and Nilsson, Sven G. and Öckinger, Erik and Osgathorpe, Lynne and Parra-H, Alejandro and Peres, Carlos A. and Persson, Anna S. and Petanidou, Theodora and Poveda, Katja and Power, Eileen F. and Quaranta, Marino and Quintero, Carolina and Rader, Romina and Richards, Miriam H. and Roulston, Tai and Rousseau, Laurent and Sadler, Jonathan P. and Samnegård, Ulrika and Schellhorn, Nancy A. and Schüepp, Christof and Schweiger, Oliver and Smith-Pardo, Allan H. and Steffan-Dewenter, Ingolf and Stout, Jane C. and Tonietto, Rebecca K. and Tscharntke, Teja and Tylianakis, Jason M. and Verboven, Hans A F and Vergara, Carlos H. and Verhulst, Jort and Westphal, Catrin and Yoon, Hyung Joo and Purvis, Andy},
  issn         = {2045-2322},
  language     = {eng},
  month        = {08},
  publisher    = {Nature Publishing Group},
  series       = {Scientific Reports},
  title        = {Predicting bee community responses to land-use changes : Effects of geographic and taxonomic biases},
  url          = {http://dx.doi.org/10.1038/srep31153},
  volume       = {6},
  year         = {2016},
}