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

Title
Global dataset of bee and hoverfly body weight (mg) and co-varying traits
Publication Date
2019-02-01
Author(s)
Kendall, Liam K
( creator )
OrcID: https://orcid.org/0000-0002-0671-0121
Email: lkendal2@myune.edu.au
UNE Id une-id:lkendal2
Rader, Romina
( supervisor )
OrcID: https://orcid.org/0000-0001-9056-9118
Email: rrader@une.edu.au
UNE Id une-id:rrader
Gagic, Vesna
Cariveau, Daniel P
Albrecht, Matthias
Baldock, Katherine C R
Freitas, Breno M
Hall, Mark A
Holzschuh, Andrea
Molina, Francisco P
Morten, Joanne M
Pereira, Janaely S
Portman, Zachary M
Roberts, Stuart P M
Rodriguez, Juanita
Russo, Laura
Sutter, Louis
Vereecken, Nicolas J
Bartomeus, Ignasi
Abstract
This dataset is openly accessible via GitHub (https://github.com/liamkendall/pollimetry) and Zenodo (https://doi.org/10.5281/zenodo.1313905).
Type of document
Dataset
Language
en
Entity Type
Publication
Publisher
University of New England
Place of publication
Armidale, Australia
UNE publication id
une:1959.11/62414
Abstract
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.
Link
Rights
CC0 1.0 Universal

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