Data from: Sex bias in mortality risk changes over the lifespan of bottlenose dolphins
Data files
Feb 11, 2025 version files 140.51 KB
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BaSTA_data.csv
51.76 KB
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lifespan_data.csv
84.48 KB
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README.md
4.27 KB
Feb 11, 2025 version files 138.36 KB
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BaSTA_data.csv
51.76 KB
-
lifespan_data.csv
84.48 KB
-
README.md
2.13 KB
Abstract
Research on sex biases in longevity in mammals often assumes that male investment in competition results in a female survival advantage that is constant throughout life. We use 35 years of longitudinal data on 1,003 wild bottlenose dolphins (Tursiops aduncus) to examine age-specific mortality, demonstrating a crossover effect of sex on mortality hazard over the five-decade lifespan of a social mammal. Males are at higher risk of mortality than females during the juvenile period, but female mortality hazard begins to exceed male mortality hazard in the mid-teens, coincident with the onset of female reproduction. Female mortality hazard remains higher than male hazard throughout most of adulthood. Bottlenose dolphins have an intensely male-competitive mating system, and juvenile male mortality has been linked to social competition. Contrary to predictions from classical sexual selection theory, however, male-male competition does not result in sustained male-biased mortality. As female dolphins experience high costs of sexual coercion in addition to long and energetically expensive periods of gestation and lactation, this suggests that substantial female investment in reproduction can elevate female mortality risk relative to males in adulthood.
Description of the data and file structure
This file explains all of the variables in each of the datasets that accompany: McEntee, M.H.F., Foroughirad, V., Krzyszczyk, E., Mann, J. 2023. Sex bias in mortality risk changes over the lifespan of bottlenose dolphins.
For more information please contact Molly McEntee at mhm95@georgetown.edu.
Files and variables
File: lifespan_data.csv
Description: data to produce Kaplan-Meier plots, Cox proportional hazards analysis, PAM analysis, and sensitivity analysis.
Variables
- Dolphin.ID = dolphin ID
- Birth.Date = date of dolphin birth (YYYY-MM-DD)
- Death.Date = date of dolphin death if known (YYYY-MM-DD), NA if the dolphin is alive
- Sex = Female, Male, or Unknown
- total.num.sightings = Total number of sightings of that dolphin in the dataset
- gap = maximum individual sighting gap (years), NA if the individual occurred one time or fewer in the data.
- time = time at death if dead, time at right censorship if alive (years)
- event = 1 if dead, 0 if alive
- trunc.time = age the dolphin entered the dataset (years)
- first.sight.date = first occurrence of the dolphin in the dataset (YYYY-MM-DD)
- last.sight.date = last occurrence of the dolphin in the dataset (YYYY-MM-DD)
File: BaSTA_data.csv
Description: data used for BaSTA analysis. This is mark-recapture data for the same juvenile and adult sample as the lifespan data.
Variables
- ID = dolphin ID
- Birth = year of birth, 0 if unknown. In this analysis we blinded the model to year of birth, so all values are 0.
- Death = year of death, 0 if unknown. In this analysis we blinded the model to year of death, so all values are 0.
- 1985-2019 = 1 if the dolphin was seen in that year, 0 if the dolphin was not seen in that year
- SexFemale = 1 if the dolphin is female, 0 if the dolphin is male
- SexMale = 1 if the dolphin is male, 0 if the dolphin is female
Code/software
File: R.code.Lifespan.R
Code to reproduce all figures in R.
