TY - JOUR A1 - Kendall, Liam K. A1 - Rader, Romina A1 - Gagic, Vesna A1 - Cariveau, Daniel P. A1 - Albrecht, Matthias A1 - Baldock, Katherine C. R. A1 - Freitas, Breno M. A1 - Hall, Mark A1 - Holzschuh, Andrea A1 - Molina, Francisco P. A1 - Morten, Joanne M. A1 - Pereira, Janaely S. A1 - Portman, Zachary M. A1 - Roberts, Stuart P. M. A1 - Rodriguez, Juanita A1 - Russo, Laura A1 - Sutter, Louis A1 - Vereecken, Nicolas J. A1 - Bartomeus, Ignasi T1 - Pollinator size and its consequences: Robust estimates of body size in pollinating insects JF - Ecology and Evolution N2 - Body size is an integral functional trait that underlies pollination-related ecological processes, yet it is often impractical to measure directly. Allometric scaling laws have been used to overcome this problem. However, most existing models rely upon small sample sizes, geographically restricted sampling and have limited applicability for non-bee taxa. Allometric models that consider biogeography, phylogenetic relatedness, and intraspecific variation are urgently required to ensure greater accuracy. We measured body size as dry weight and intertegular distance (ITD) of 391 bee species (4,035 specimens) and 103 hoverfly species (399 specimens) across four biogeographic regions: Australia, Europe, North America, and South America. We updated existing models within a Bayesian mixed-model framework to test the power of ITD to predict interspecific variation in pollinator dry weight in interaction with different co-variates: phylogeny or taxonomy, sexual dimorphism, and biogeographic region. In addition, we used ordinary least squares regression to assess intraspecific dry weight ~ ITD relationships for ten bees and five hoverfly species. Including co-variates led to more robust interspecific body size predictions for both bees and hoverflies relative to models with the ITD alone. In contrast, at the intraspecific level, our results demonstrate that the ITD is an inconsistent predictor of body size for bees and hoverflies. The use of allometric scaling laws to estimate body size is more suitable for interspecific comparative analyses than assessing intraspecific variation. Collectively, these models form the basis of the dynamic R package, “pollimetry,” which provides a comprehensive resource for allometric pollination research worldwide. KW - Apoidea KW - biogeography KW - body size KW - dry weight KW - pollimetry KW - pollination KW - predictive models KW - R package KW - Syrphidae Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-325705 VL - 9 ER - TY - JOUR A1 - De Palma, Adriana A1 - Abrahamczyk, Stefan A1 - Aizen, Marcelo A. A1 - Albrecht, Matthias A1 - Basset, Yves A1 - Bates, Adam A1 - Blake, Robin J. A1 - Boutin, Céline A1 - Bugter, Rob A1 - Connop, Stuart A1 - Cruz-López, Leopoldo A1 - Cunningham, Saul A. A1 - Darvill, Ben A1 - Diekötter, Tim A1 - Dorn, Silvia A1 - Downing, Nicola A1 - Entling, Martin H. A1 - Farwig, Nina A1 - Felicioli, Antonio A1 - Fonte, Steven J. A1 - Fowler, Robert A1 - Franzen, Markus Franzén A1 - Goulson, Dave A1 - Grass, Ingo A1 - Hanley, Mick E. A1 - Hendrix, Stephen D. A1 - Herrmann, Farina A1 - Herzog, Felix A1 - Holzschuh, Andrea A1 - Jauker, Birgit A1 - Kessler, Michael A1 - Knight, M. E. A1 - Kruess, Andreas A1 - Lavelle, Patrick A1 - Le Féon, Violette A1 - Lentini, Pia A1 - Malone, Louise A. A1 - Marshall, Jon A1 - Martínez Pachón, Eliana A1 - McFrederick, Quinn S. A1 - Morales, Carolina L. A1 - Mudri-Stojnic, Sonja A1 - Nates-Parra, Guiomar A1 - Nilsson, Sven G. A1 - Öckinger, Erik A1 - Osgathorpe, Lynne A1 - Parra-H, Alejandro A1 - Peres, Carlos A. A1 - Persson, Anna S. A1 - Petanidou, Theodora A1 - Poveda, Katja A1 - Power, Eileen F. A1 - Quaranta, Marino A1 - Quintero, Carolina A1 - Rader, Romina A1 - Richards, Miriam H. A1 - Roulston, T’ai A1 - Rousseau, Laurent A1 - Sadler, Jonathan P. A1 - Samnegård, Ulrika A1 - Schellhorn, Nancy A. A1 - Schüepp, Christof A1 - Schweiger, Oliver A1 - Smith-Pardo, Allan H. A1 - Steffan-Dewenter, Ingolf A1 - Stout, Jane C. A1 - Tonietto, Rebecca K. A1 - Tscharntke, Teja A1 - Tylianakis, Jason M. A1 - Verboven, Hans A. F. A1 - Vergara, Carlos H. A1 - Verhulst, Jort A1 - Westphal, Catrin A1 - Yoon, Hyung Joo A1 - Purvis, Andy T1 - Predicting bee community responses to land-use changes: Effects of geographic and taxonomic biases JF - Scientific Reports N2 - 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. KW - bee community KW - land-use change KW - intensification KW - geographic biases KW - taxonomic biases KW - global dataset Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-167642 VL - 6 ER -