Data from: Ecological tradeoffs drive a power-law relationship between group size and population density in social foragers
Data files
Mar 18, 2025 version files 60.42 KB
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mixedforgs.csv
54.26 KB
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README.md
6.16 KB
Abstract
Foraging animals have been documented forming groups in wide range of environments and taxa. Benefits of group foraging include reduced predation risk while costs include increased resource competition among group members. While the relative strengths of these factors are known to vary with density, it is unclear whether forager group sizes should also vary with density. Here, we model how the costs and benefits of group formation drive density dependence in group size when including the impacts of improved vigilance and increased intragroup competition. Our model predicts that forager group size will exhibit a one-third power-law relationship with their abundance when predator abundance is independent of prey abundance. We tested this prediction using empirical data of group-foraging birds and ungulates and found clear support for our theoretical predictions. Our results contribute to a growing body of work highlighting the importance of group formation in maintaining stability in predator and prey populations.
https://doi.org/10.5061/dryad.6hdr7sr83
This data and the associated code will reproduce the analyses in Rouhbakhsh et al.
Description of the data and file structure
mixedforgs.csv - data file for running mixed model of group size. Columns are
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N: Represents the population count or density of the species.
- G: Indicates the average group size of the species.
- Taxa: The common name of the species.
- Class: Indicates whether the species belongs to the “Ungulate” or “Bird” category.
- Data_type: Specifies whether the data in column N represents population density or raw counts
Code/Software
RegressionCode.R - code file for running mixed model of group size. Depends on mixedforgs.csv. Reproduces statistical analyses in Rouhbaksh et al. and reproduces Figure 3.
ForagerGroupSize_simulation.R - code for numerically calculating the optimal group size in a foraging animal population. Reproduces Figures 1 and 2.
PowerLawTest.R - code for testing the consistency of the mean and median of power-law distribution.
Sharing/Access information
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