DOI: 10.5061/dryad.cnp5hqcfk
title: Perceived mate availability does not influence variation in egg-laying patterns in the Hawaiian Pacific field cricket (Orthoptera: Gryllidae)

description: Here we study whether cues that reflect perceived mate availability
 (presence of acoustic sexual signals) influence egg-laying patterns in
 Teleogryllus oceanicus. Further, we are interested in understanding if
 variation in egg-laying patterns affect females’ future egg-laying or
 total reproductive output. This work is motivated by an interest in
 understanding whether trade-offs in temporal reproductive allocation over
 the course of an individual's lifetime can help females balance the
 costs and benefits of multiple mating. Our data consist of the number of
 eggs laid by females across the study period, and individual measures of
 body size, age, and other treatment variables. We find that on hearing
 male calling song to simulate high mate availability, females did not
 alter their egg-laying patterns relative to those that did not hear song.
 Neither investing highly in current over future egg-laying, nor having a
 highly variable egg-laying pattern, appeared to be costly in this species.
description: # Perceived mate availability does not influence variation in egg-laying
 patterns in the Hawaiian Pacific field cricket (Orthoptera: Gryllidae) ##
 Description of the data and file structure The data were generated through
 monitoring the egg-laying patterns of *Teleogryllus oceanicus* crickets in
 the lab over 2 weeks, after exposure to a song or no song treatment
 simulating extremes of mate availability. ### Files and variables ####
 File: egglayingdata.csv **Description:** The file is an .csv file
 containing data collected during the experiment and some later processing
 for analysis. Each line represents a a single individual. Missing values
 were represented by '-'. ##### Variables * cricketno -
 individual identification number for each cricket * genotype -
 representing if the female was from the flatwing (FW) or normal-wing (NW)
 colony in the lab * sex - all were females (F) * female_pw - female
 pronotum width measured in mm * eclosiondate - date of adult eclosion for
 each female (mm/dd/yyyy) * matingdate- date of mating for each female
 (mm/dd/yyyy) * adult_age_at_mating - number of days between matingdate and
 eclosiondate * age_group - females were binned into 3 age groups based on
 adult_age_at_mating; 7 days = young, 10 days = mid, 12 days = old *
 male_pw male pronotum width measured in mm * treatment - females were
 raised in either Song (with playback) or NoSong (silent, no playback) *
 T1, T2... T6 - timepoints at which the number of eggs laid by each female
 was counted. the number of eggs in the cells is the number of eggs laid.
 T1 = 2 days after mating, T2 = 4 days after mating, T3 = 7 days after
 mating, T4 = 9 days after mating, T5 = 11 days after mating, T6 = 14 days
 after mating. * Total - sum of T1 through to T6, total number of eggs laid
 over 14 days * rate_t1 - number of eggs laid at T1 divided by 2 (2 here is
 the number of days between T1 and the previous time point, which in this
 case start of monitoring). rate_t2 through to rate_t6 also were calculated
 similarly. * week1 - T1+T2+T3/Total * avg_rate - average of rate_t1 +
 rate_t2 through to rate_t6, divided by 6 * std_dev - standard deviation of
 all the rates (t1 to t6) * z1 to z6 - z-score for the each respective
 timepoint, calculated as [rate_t1 - avg_rate/std_dev]. t1 can be t1
 through t6 * average_z - the average of z1 through z6 ## Code/software
 Code used to process the data was run in R, the script for the same is
 called egglaying_analysis.R. Version details are in the manuscript.