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

  • Adriana De Palma
  • , Stefan Abrahamczyk
  • , Leopoldo Cruz-Lopez
  • , Saul A Cunningham
  • , Ben Darvill
  • , Tim Diekotter
  • , Silvia Dorn
  • , Nicola Downing
  • , Martin H Entling
  • , Nina Farwig
  • , Antonio Felicioli
  • , Steven J Fonte
  • , Marcelo A Aizen
  • , Robert Fowler
  • , Markus Franzen
  • , Dave Goulson
  • , Ingo Grass
  • , Mick E Hanley
  • , Stephen D Hendrix
  • , Farina Herrmann
  • Felix Herzog, Andrea Holzschuh, Birgit Jauker, Matthias Albrecht, Michael Kessler, M E Knight, Andreas Kruess, Patrick Lavelle, Violette Le Feon, Pia Lentini, Louise A Malone, Jon Marshall, Eliana Martinez Pachon, Quinn S McFrederick, Yves Basset, Carolina L Morales, Sonja Mudri-Stojnic, Guiomar Nates-Parra, Sven G Nilsson, Erik Ockinger, Lynne Osgathorpe, Alejandro Parra-H, Carlos A Peres, Anna S Persson, Theodora Petanidou, Adam Bates, Katja Poveda, Eileen F Power, Marino Quaranta, Carolina Quintero, Romina Rader, Miriam H Richards, T’ai Roulston, Laurent Rousseau, Jonathan P Sadler, Ulrika Samnegard, Robin J Blake, Nancy A Schellhorn, Christof Schuepp, Oliver Schweiger, Allan H Smith-Pardo, Ingolf Steffan-Dewenter, Jane C Stout, Rebecca K Tonietto, Teja Tscharntke, Jason M Tylianakis, Hans A F Verboven, Celine Boutin, Carlos H Vergara, Jort Verhulst, Catrin Westphal, Hyung Joo Yoon, Andy Purvis, Rob Bugter, Stuart Connop

Research output: Contribution to journalArticlepeer-review

102 Citations (Scopus)

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.
Original languageEnglish
Article number31153
Pages (from-to)1-14
JournalScientific Reports
Volume6
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • Community Ecology (excl. Invasive Species Ecology)
  • Wildlife and Habitat Management
  • Conservation and Biodiversity

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