README

Article Information

This repository provides access to the data and source code used for the manuscript

The significance of social interactions in synchronized swarming flight in a termite

Nobuaki Mizumoto, Tomonari Nozaki

Contact, Nobuaki Mizumoto: nzm0095@auburn.edu

Preprint is available at bioRxiv.

This study proposes that synchronized termite swarming results from collective decision-making within a group of alates. We observed the swarming behavior in Reticulitermes kanmonensis under both semi-natural and laboratory conditions to confirm 1) termites suppress minor dispersal flights under lower temperatures, 2) they can synchronize flight even without environmental cues, 3) group size facilitates swarming. This includes data obtained from empirical observations and R scripts to analyze them.

Table of Contents

• README
• scripts
  • output.R - output all plots and statistical analysis of empirical works
• output - all outputs are stored
• data
  • raw - raw data in .csv
    • colony_foundation.csv - data for colony foundation experiments. foundation: suucess (1) or not (0); unit: surviving reproductive combinations; PS: pre-soldiers
    • hybrid_foundation.csv - data for hybrid colony foundation experiments.
    • lab_swarm.csv - data for swarming experiments under the constant lab environments.
    • semifield_swarm.csv - data for swarming experiments under the semi-natural environments.

Session information

R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 11 x64 (build 22621)

Matrix products: default


locale:
[1] LC_COLLATE=English_United States.utf8 
[2] LC_CTYPE=English_United States.utf8   
[3] LC_MONETARY=English_United States.utf8
[4] LC_NUMERIC=C                          
[5] LC_TIME=English_United States.utf8    

time zone: Asia/Tokyo
tzcode source: internal

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] plyr_1.8.8          viridis_0.6.3       viridisLite_0.4.2  
 [4] ggplot2_3.4.2       fitdistrplus_1.1-11 multcomp_1.4-25    
 [7] TH.data_1.1-2       survival_3.5-5      mvtnorm_1.2-3      
[10] lme4_1.1-34         Matrix_1.6-1        car_3.1-2          
[13] carData_3.0-5       MASS_7.3-60