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Pollinator size and its consequences : Robust estimates of body size in pollinating insects

Kendall, Liam K. LU ; Rader, Romina ; Gagic, Vesna ; Cariveau, Daniel P. ; Albrecht, Matthias ; Baldock, Katherine C.R. ; Freitas, Breno M. ; Hall, Mark ; Holzschuh, Andrea and Molina, Francisco P. , et al. (2019) In Ecology and Evolution 9(4). p.1702-1714
Abstract

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... (More)

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.

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publishing date
type
Contribution to journal
publication status
published
keywords
Apoidea, biogeography, body size, dry weight, pollimetry, pollination, predictive models, R package, Syrphidae
in
Ecology and Evolution
volume
9
issue
4
pages
1702 - 1714
publisher
Wiley-Blackwell
external identifiers
  • pmid:30847066
  • scopus:85062097856
ISSN
2045-7758
DOI
10.1002/ece3.4835
language
English
LU publication?
no
id
c2ea4b42-54da-44d4-b4e5-5e859bbb597a
date added to LUP
2020-09-17 08:55:44
date last changed
2024-04-17 16:09:41
@article{c2ea4b42-54da-44d4-b4e5-5e859bbb597a,
  abstract     = {{<p>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.</p>}},
  author       = {{Kendall, Liam K. and Rader, Romina and Gagic, Vesna and Cariveau, Daniel P. and Albrecht, Matthias and Baldock, Katherine C.R. and Freitas, Breno M. and Hall, Mark and Holzschuh, Andrea and Molina, Francisco P. and Morten, Joanne M. and Pereira, Janaely S. and Portman, Zachary M. and Roberts, Stuart P.M. and Rodriguez, Juanita and Russo, Laura and Sutter, Louis and Vereecken, Nicolas J. and Bartomeus, Ignasi}},
  issn         = {{2045-7758}},
  keywords     = {{Apoidea; biogeography; body size; dry weight; pollimetry; pollination; predictive models; R package; Syrphidae}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{4}},
  pages        = {{1702--1714}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Ecology and Evolution}},
  title        = {{Pollinator size and its consequences : Robust estimates of body size in pollinating insects}},
  url          = {{http://dx.doi.org/10.1002/ece3.4835}},
  doi          = {{10.1002/ece3.4835}},
  volume       = {{9}},
  year         = {{2019}},
}