Data from: Contact aggression differently predicts risk of injury in wild male and female chimpanzees (Pan troglodytes schweinfurthii)
Data files
Jun 16, 2026 version files 138.16 KB
-
InjuryDataPublic_AnnualInjuryRates.csv
79.59 KB
-
InjuryDataPublic_Females.csv
29.42 KB
-
InjuryDataPublic_Males.csv
18.26 KB
-
README.md
1.93 KB
-
script.txt
8.96 KB
Abstract
Injuries are a significant, recurring stressor across the lifespan. In species where injuries occur primarily from conspecific aggression, injury risk is expected to most affect those who are targeted for aggression or who are physically or socially disadvantaged. We test that assumption by examining patterns and predictors of injury in two longitudinal datasets comprising 955 injuries sustained by wild East African chimpanzees (Pan troglodytes schweinfurthii) in Gombe and Kibale National Parks. Most injuries were open wounds, and most such wounds were inflicted by conspecifics, particularly adult males. Female injury risk was strongly predicted by the rate of contact aggression received and increased for females with sexual swellings. Although socially dominant to females, adult males were injured more often. Receiving contact aggression did not predict male injury risk in either population. In Kibale, high-ranking males and those most aggressive to others received the most injuries, adding to evidence from this species that success in an intensely competitive mating market involves costly and persistent tradeoffs with somatic health. Our results demonstrate that injury risk cannot be inferred from patterns of aggression alone. In particular, sexual selection on male physical traits and competitive behavior escalates risks from male-male conflict.
https://doi.org/10.5061/dryad.gxd25480w
Dataset includes
- InjuryDataPublic_AnnualInjuryRates.csv: Used for Figures 3-4
- InjuryDataPublic_Males.csv: male dataset for models
- InjuryDataPublic_Females.csv: female dataset for models
- script.txt for models and figures
Description of the data and file structure
InjuryDataPublic_AnnualInjuryRates:
- Community: Chimpanzee community
- ID: subject ID random effect
- Sex: F = female, M = male
- AgeCap50: chimpanzee age in years, due to low sample sizes > 50, ages capped at 50 years
- InjuryCount: number of unique injuries observed per year
- MonthsObserved: number of calendar months in which a chimpanzee was observed at least 50 hours. Since years are defined by chimpanzee age, some chimpanzees were observed in 13 calendar months during their age-year (e.g., June - June)
- InjuriesPerMonth: InjuryCount/MonthsObserved
- InjuriesPerYear: Annualized rate = InjuriesPerMonth*12
InjuryDataPublic_Males and _Females
- Community: Chimpanzee community
- Sex: F = female, M = male
- ID: subject ID random effect
- Age: chimpanzee age in years, interval defined by chimpanzee age (e.g., all observations aged 15.000-15.999)
- Injuries: number of unique injuries observed
- ObsHrs: offset, hours in which chimpanzee was observed, minimum inclusion criteria = 50 hours
- Estr01 [females]: categorical predictor, female was observed with maximally tumescent sexual swelling during the year (1) or not (0)
- Rank: Standardized rank, 0 = lowest, 1 = highest
- zVictim: z-score for rate of contact aggression received after log transformation, community-specific standardization
- zAttacker: z-score for rate of contact aggression given after log transformation, community-specific standardization
