Data

Global dataset of bee and hoverfly body weight (mg) and co-varying traits

University of New England, Australia
Kendall, Liam ; Rader, Romina ; Gagic, Vesna ; Cariveau, Daniel ; Albrecht, Matthias ; Baldock, Katherine ; Freitas, Breno ; Hall, Mark ; Holzschuh, Andrea ; Molina, Francisco ; Morten, Joanne ; Pereira, Janaely ; Portman, Zachary ; Roberts, Stuart ; Rodriguez, Juanita ; Russo, Laura ; Sutter, Louis ; Vereecken, Nicolas ; Bartomeus, Ignasi
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liam.k.kendall@gmail.com

Full description

Body size is an integral functional trait that underlies pollination-related ecological processes. This dataset consists of direct measurements of body size, as dry weight, and the intertegular distance (ITD) of 391 bee species (4035 specimens) and 103 hoverfly species (399 specimens) across four biogeographic regions: Australia, Europe, North America and South America. We used Bayesian mixed-models 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 bee and five hoverfly species. Including co-variates led to more robust interspecific body size predictions for both bees and hoverflies relative to models with ITD alone. In contrast, at the intraspecific level, our results demonstrate that ITD is an inconsistent predictor of body size for bees and hoverflies. Collectively, these models form the basis of the dynamic R package, 'pollimetry’, which provides a comprehensive resource for allometric pollination research worldwide.
This dataset is openly accessible via GitHub (https://github.com/liamkendall/pollimetry) and Zenodo (https://doi.org/10.5281/zenodo.1313905).

Notes

Funding Source
University of New England PhD scholarship; CSIRO PhD top up scholarship; Ian Potter Foundation grant (grant number 20160225/RME20044); NERC Knowledge Exchange Fellowship (grant number NE/M006956/1); Productivity Research Grant from CNPq-Brazil (grant number 308948/2016‐5); Marie Curie Fellowship (grant number MSCA FOMN:705287); MSCA grant (grant number BeeFun:PCIG14‐GA‐2013‐631653)

Issued: 2019-02-01

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151.61076,-30.50553 151.61022,-30.53865 151.71837,-30.53898 151.71743,-30.46787 151.64098,-30.46843 151.61122,-30.46722

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Subjects
060202 Community Ecology (excl. Invasive Species Ecology) | Biological Sciences | Community Ecology (Excl. Invasive Species Ecology) | Environment | Ecology | Flora, Fauna and Biodiversity | Flora, Fauna and Biodiversity of Environments Not Elsewhere Classified |

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Other Information

handle : https://hdl.handle.net/1959.11/57208

handle : https://hdl.handle.net/1959.11/62410

handle : https://hdl.handle.net/1959.11/62411

handle : https://hdl.handle.net/1959.11/62412

handle : https://hdl.handle.net/1959.11/62413

arc : DE170101349

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