DOI: 10.5061/dryad.kd51c5b95
title: Data and code from: Partitioning variance in a signaling trade-off under sexual selection reveals among-individual covariance in trait allocation

description: 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.
description: # Data and code from:Partitioning variance in a signaling trade-off under
 sexual selection reveals among-individual covariance in trait allocation
 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