Data and code from: Partitioning variance in a signaling trade-off under sexual selection reveals among-individual covariance in trait allocation
Data files
Mar 24, 2024 version files 1.28 MB
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README.md
2.94 KB
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RepeatabilityResults.csv
643 B
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TreefrogVariance.csv
1.28 MB
Sep 25, 2024 version files 1.28 MB
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README.md
2.92 KB
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RepeatabilityResults.csv
643 B
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TreefrogVariance.csv
1.28 MB
Abstract
Understanding the evolution of traits subject to trade-offs is challenging because phenotypes can (co)vary at both the among- and within-individual levels. Among-individual covariation indicates consistent, possibly genetic, differences in how individuals resolve the trade-off, while within-individual covariation indicates trait plasticity. There is also the potential for consistent among-individual differences in behavioral plasticity, although this has rarely been investigated. We studied the sources of (co)variance in two characteristics of an acoustic advertisement signal that trade off with one another and are under sexual selection in the gray treefrog, Hyla chrysoscelis: call duration and call rate. We recorded males on multiple nights calling spontaneously and in response to playbacks simulating different competition levels. Call duration, call rate, and their product, call effort, were all repeatable both within and across social contexts. Call duration and call rate covaried negatively, and the largest covariance was at the among-individual level. There was extensive plasticity in calling with changes in social competition, and we found some evidence for among-individual variance in call rate plasticity. The significant negative among-individual covariance in trait values is perpendicular to the primary direction of sexual selection in this species, indicating potential limits on the response to selection.
Michael S. Reichert, Ivan de la Hera, Maria Moiron
Evolution 2024
Summary: Data are measurements of the characteristics of individual calls from a study of individual variation in calling in Cope's gray treefrog, Hyla chrysoscelis.
Description of the Data and file structure
Note: There are some NA entries in the data files because these are outputs of R data frames. NA corresponds to an empty cell (i.e. no data are available for that variable for that row).
List of files:
TreefrogVariance.csv
-This is the main raw data file. Each row contains the data from a single call. Variables are as follows:
CD - call duration, in seconds
CR - call rate, in calls/second *Note that the intercall interval (ICI), which is analyzed in the supplement as an alternative to call rate, is not directly included in this data file but can be calculated as: ICI = (1/call rate) - call duration
DC - call effort, unitless (product of call duration and call rate). Note that DC is used here because traditionally in the frog literature this is referred to as "duty cycle", but we use call effort in the paper as the more intuitive term for the non-frog specialist.
ID - The unique ID code of the frog
Expt - The "social context". One of four different situations in which the frog was recorded. B1 - spontaneous calling prior to playback, "baseline". P1 - calling in response to an "average" advertisement call playback. P2 - calling in response to a "competitive" advertisement call playback. B2 - spontaneous calling after playback "post-playback baseline"
Date - The date in M/D/Y format
CalendarDay - The day number of the year, with 1 January being day 1
Temperature - Body temeperature of the frog in degrees Celsius.
HoursPast9 - Referred to in text as "Time of night", this gives the start time of the recording, in hours after 9 PM
Year - Either 2019 or 2020
RepeatabilityResults.csv
-For convenience, the results of the repeatability analyses used to make Figure 1.
Variables are as follows:
Character: The call characteristic. CD = call duration, CR = call rate, DC = duty cycle
Context: The social context in which the repeatability coefficient was calculated. Cross-context refers to a calculation from combined data across all four contexts.
RepeatabilityCoefficient: The value of the repeatability coefficient estimated from the model
LowerCI: The lower bound of the 95% credible interval for the repeatability coefficient
UpperCI: The upper bound of the 95% credible interval for the repeatability coefficient.
All analyses were performed in R version 4.1.0 software
The following packages were used:
MCMCglmm version 2.33
tidyverse version 1.3.1
cowplot version 1.1.1
RColorBrewer version 1.1-2
Sharing/access Information
Available on Dryad