10.5061/DRYAD.34DK0
Hamblin, April L.
North Carolina State University
Youngsteadt, Elsa
0000-0003-2032-9674
North Carolina State University
López-Uribe, Margarita M.
Pennsylvania State University
Frank, Steven D.
North Carolina State University
Data from: Physiological thermal limits predict differential responses of
bees to urban heat-island effects
Dryad
dataset
2017
heat tolerance
Bee
Critical thermal maximum
pollinator
urban warming
FOS: Biological sciences
National Institute of Food and Agriculture
https://ror.org/05qx3fv49
Agriculture and Food Research Initiative Competitive Grant (2013-02476)
United States Geological Survey
https://ror.org/035a68863
Cooperative Agreement No. G11AC20471
United States Geological Survey
https://ror.org/035a68863
Cooperative Agreement No. G13AC00405
2017-05-30T15:13:00Z
2017-05-30T15:13:00Z
en
https://doi.org/10.1098/rsbl.2017.0125
246456 bytes
4
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Changes in community composition are an important, but hard-to-predict,
effect of climate change. Here, we use a wild-bee study system to test the
ability of critical thermal maxima (CTmax, a measure of heat tolerance) to
predict community responses to urban heat-island effects in Raleigh, NC,
USA. Among 15 focal species, CTmax ranged from 44.6 to 51.3°C and was
strongly predictive of population responses to urban warming across 18
study sites (r2 = 0.44). Species with low CTmax declined the most. After
phylogenetic correction, solitary species and cavity-nesting species
(bumblebees) had the lowest CTmax, suggesting that these groups may be
most sensitive to climate change. Community responses to urban and global
warming will likely retain strong physiological signal, even after decades
of warming during which time lags and interspecific interactions could
modulate direct effects of temperature.
HamblinEtAl_Data1 Bee CTmax, field abundance, and site temperatures
HamblinEtAl_Data2 10 gene alignment for phylogenetic reconstruction
HamblinEtAl_Data3 Best partition scheme HamblinEtAl_Data4 Best tree
HamblinEtAl_CTmax_raw CTmax data for individual bees
North Carolina
Raleigh
United States