dormouse_hibernation | R Documentation |
This dataset contains hibernation and reproductive data for edible dormice (Glis glis). The data tracks hibernation patterns, body mass changes, and reproductive activity across multiple years and individuals. The study examines how age affects hibernation timing and reproductive behavior in these small hibernating mammals.
dormouse_hibernation
A data frame with 290 rows and 16 variables:
Unique identifier for each dormouse
Year of birth for the animal
Age of the animal in years
Logarithm of age
Body mass before hibernation (g)
Body mass after hibernation (g)
Duration of hibernation in days
Date when hibernation started (DD.MM.YY format)
Date when hibernation ended (DD.MM.YY format)
End date of previous year's hibernation
Body mass in spring (g)
Year of observation
Sex of the animal (male or female)
Diet type (medium, high fat, or protein)
Age at death in years
Whether the animal was reproductively active (yes or no)
The research shows that age strongly affects hibernation/activity patterns through two pathways: (1) with increasing age, dormice are more likely to reproduce, which delays hibernation onset, and (2) age directly advances emergence from hibernation in spring. This suggests hibernation is not merely an energy-saving strategy but an age-affected life-history trait used to maximize fitness.
Bieber, Claudia and Turbill, Christopher and Ruf, Thomas (2019). Data from: Effects of aging on timing of hibernation and reproduction. Dryad Digital Repository. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5061/DRYAD.8004G37")}
# Load the dataset
data(dormouse_hibernation)
# Basic exploration
head(dormouse_hibernation)
summary(dormouse_hibernation)
# Examine hibernation duration by age
boxplot(hibernation_duration ~ age, data = dormouse_hibernation,
main = "Hibernation Duration by Age",
xlab = "Age (years)", ylab = "Duration (days)")
# Compare body mass change during hibernation
with(dormouse_hibernation,
plot(body_mass_before, body_mass_after,
col = as.integer(sex),
main = "Body Mass Before vs After Hibernation",
xlab = "Body Mass Before (g)",
ylab = "Body Mass After (g)"))
legend("topleft", levels(dormouse_hibernation$sex),
col = 1:2, pch = 1)
# Examine reproductive activity by age
with(subset(dormouse_hibernation, !is.na(repro_active)),
table(age, repro_active))
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