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Article Dans Une Revue Scientific Reports Année : 2016

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

Adriana de Palma (1, 2) , Stefan Abrahamczyk (3) , Marcelo A. Aizen (4) , Matthias Albrecht (5) , Yves Basset (6) , Adam Bates (7) , Robin J. Blake (8) , Céline Boutin (9) , Rob Bugter (10) , Stuart Connop (11) , Leopoldo Cruz-López (12) , Saul A. Cunningham (13) , Ben Darvill (14) , Tim Diekotter (15, 16, 17) , Silvia Dorn (17) , Nicola Downing (18) , Martin H. Entling (19) , Nina Farwig (20) , Antonio Felicioli (21) , Steven J. Fonte (22) , Robert Fowler (23) , Markus Franzén (24) , Dave Goulson (23) , Ingo Grass (25) , Mick E. Hanley (26) , Stephen D. Hendrix (27) , Farina Herrmann (25) , Felix Herzog (28) , Andrea Holzschuh (29) , Birgit Jauker (30) , Michael Kessler (31) , M. E. Knight (26) , Andreas Kruess (32) , Patrick Lavelle (33, 34) , Violette Le Feon (35) , Pia Lentini (36) , Louise A. Malone (37) , Jon Marshall (38) , Eliana Martínez Pachón (39) , Quinn S. Mcfrederick (40) , Carolina L. Morales (4) , Sonja Mudri-Stojnic (41) , Guiomar Nates-Parra (39) , Sven G. Nilsson (42) , Lynne Osgathorpe (18) , Alejandro Parra-H (39, 43) , Carlos A. Peres (44) , Anna S. Persson (42) , Theodora Petanidou (45) , Katja Poveda (46) , Eileen F. Power (47) , Marino Quaranta (48) , Carolina Quintero (49) , Romina Rader (50) , Miriam H. Richards (51) , T’ai Roulston (52, 53) , Laurent Rousseau (54) , Jonathan P. Sadler (55) , Ulrika Samnegård (56) , Nancy A. Schellhorn (13) , Christof Schüepp (57) , Oliver Schweiger (24) , Allan H. Smith-Pardo (58, 59) , Ingolf Steffan-Dewenter (29) , Jane C. Stout (47) , Rebecca K. Tonietto (60, 61, 62) , Teja Tscharntke (25) , Jason M. Tylianakis (1, 63) , Hans A. F. Verboven (64) , Carlos H. Vergara (65) , Jort Verhulst , Catrin Westphal (25) , Hyung Joo Yoon (66) , Andy Purvis (1, 2)
1 Department of Life Sciences
2 Department of Life Sciences
3 Nees Institut for Plant Biodiversity
4 Instituto de Investigaciones en Biodiversidad y Medioambiente
5 ISS - Institute for Sustainability Sciences
6 Smithsonian Tropical Research Institute
7 Nottingham Trent University
8 UOR - University of Reading
9 Ontario Ministry of the Environment and Climate Change
10 Alterra
11 Sustainability Research Institute
12 ECOSUR Unidad Chetumal
13 CSIRO - Commonwealth Scientific and Industrial Research Organisation [Canberra]
14 University of Stirling
15 CAU - Christian-Albrechts-Universität zu Kiel = Christian-Albrechts University of Kiel = Université Christian-Albrechts de Kiel
16 Department of Biology, Nature Conservation
17 ETH Zürich - Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich]
18 RSPB - Royal Society for the Protection of Birds
19 University of Koblenz-Landau
20 Philipps Universität Marburg = Philipps University of Marburg
21 Dipartimento di Scienze Veterinarie
22 Department of Soil and Crop Sciences [Fort Collins]
23 School of Life Sciences
24 Department of Community Ecology
25 Agroecology, Department of Crop Sciences
26 School of Biological Sciences [Plymouth]
27 University of Iowa [Iowa City]
28 Agroscope
29 Department of Animal Ecology and Tropical Biology, Biocenter
30 Department of Animal Ecology
31 Institut für Systematische und Evolutionäre Botanik
32 Federal Agency for Nature Conservation
33 IRD - Institut de Recherche pour le Développement
34 International Center for Tropical Agriculture
35 AE - Abeilles et environnement
36 School of Biosciences
37 Plant & Food Research
38 Marshall Agroecology Limited
39 Universidad Nacional de Colombia
40 Department of Entomology [Riverside]
41 University of Novi Sad
42 Department of Biology
43 Corporacion para la Gestion de Servicios Ecosystemicos, Polinizacion y Abejas
44 Tyndall Centre for Climate Change Research and School of Environmental Sciences
45 University of the Aegean
46 Cornell University [New York]
47 Trinity College Dublin
48 CREA - Consiglio per la Ricerca in Agricoltura e l’analisi dell’economia agraria = Council for Agricultural Research and Economics
49 UNCOMA - Universidad Nacional del Comahue [Neuquén]
50 School of Environmental and Rural Science
51 Brock University [Canada]
52 University of Virginia
53 Blandy Experimental Farm
54 Département des Sciences Biologiques
55 University of Birmingham
56 Department of Ecology, Environment and Plant Sciences
57 UNIBE - Universität Bern / University of Bern
58 USDA - United States Department of Agriculture
59 National University of Colombia
60 Northwestern University [Evanston]
61 Chicago Botanic Garden
62 Department of Biology
63 University of Canterbury [Christchurch]
64 UCL - Université Catholique de Louvain = Catholic University of Louvain
65 Universidad de las Américas
66 Rural Development Administration
Rob Bugter
  • Fonction : Auteur
Dave Goulson
Felix Herzog
Jort Verhulst
  • Fonction : Auteur

Résumé

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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Dates et versions

hal-02631304 , version 1 (27-05-2020)

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Adriana de Palma, Stefan Abrahamczyk, Marcelo A. Aizen, Matthias Albrecht, Yves Basset, et al.. Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases. Scientific Reports, 2016, 6, pp.31153. ⟨10.1038/srep31153⟩. ⟨hal-02631304⟩
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