Sex-specific body mass aging trajectories in adult Asian elephants
Data files
Apr 14, 2022 version files 69.44 KB
Apr 14, 2022 version files 76.80 KB
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dataset-lalande2022JEB-sex-specific-ageing.zip
69.44 KB
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README.md
7.36 KB
Abstract
In species with marked sexual dimorphism, the classic prediction is that the sex which undergoes stronger intrasexual competition ages earlier or quicker. However, more recently, alternative hypotheses have been put forward, showing that this association can be disrupted. Here, we utilise a unique, longitudinal dataset of a semi-captive population of Asian elephants (Elephas maximus), a species with marked male-biased intrasexual competition, with males being larger and having shorter lifespans, and investigate whether males show earlier and/or faster body mass ageing than females. We found evidence of sex-specific body mass ageing trajectories: adult males gained weight up to the age of 48 years old, followed by a decrease in body mass until natural death. In contrast, adult females gained body mass with age until a body mass decline in the last year of life. Our study shows sex-specific ageing patterns, with an earlier onset of body mass declines in males than females, which is consistent with the predictions of the classical theory of ageing.
Dryad DOI: https://doi.org/10.5061/dryad.5dv41ns59
Lucas D. Lalande1,2,3,*, Virpi Lummaa1,*, Htoo H. Aung4, Win Htut4, U. Kyaw Nyein4, Vérane Berger1,*, Michael Briga1,5,*
1 Department of Biology, University of Turku, Turku, Finland
2 Université Bourgogne Franche- Comté, Dijon, France
3 Université de Lyon, Université ClaudeBernard Lyon 1, Laboratoire de Biométrie et Biologie Evolutive, UMR 5558, Villeurbanne CEDEX, France
4 Myanma Timber Enterprise, Ministry of Natural Resources and Environmental Conservation, West Gyogone Forest Compound, Yangon, Myanmar
5 Infectious Disease Epidemiology Group, Max Planck Institute for Infection Biology, Berlin, Germany
Sex-specific body mass ageing trajectories in adult Asian elephants
Journal of Evolutionary Biology, 2022
DOI: 10.1111/jeb.14008
*Corresponding authors:
lalande.luke@gmail.com{.email}
virpi.lummaa@gmail.com{.email}
verane.berger@orange.fr{.email}
michbri@gmail.com{.email}
Project description
We used a unique, longitudinal data set of a semi-captive population of Asian elephants (Elephas maximus), a species with marked male-biased intrasexual competition, with males being larger and having shorter lifespans, and investigated whether males show earlier and/or faster body mass ageing than females. We found evidence of sex-specific body mass ageing trajectories: adult males gained weight up to the age of 48 years old, followed by a decrease in body mass until natural death. In contrast, adult females gained body mass with age until a body mass decline in the last year of life. Our study shows sex-specific ageing patterns, with an earlier onset of body mass decline in males than females, which is consistent with the predictions of the classical theory of ageing.
Content
This deposit contains:
- the anonymised dataset used in the current study,
- a legend file for the dataset,
Both can be found in the dataset-lalande2022JEB-sex-specific-ageing.zip file
R scripts are available on Zenodo, DOI: 10.5281/zenodo.6460236
Dataset
Please find the dataset (sex-specific-dataset.csv) supporting the results found in this paper.
The dataset can be found on Dryad, DOI: 10.5061/dryad.5dv41ns59\
The dataset has been anonymised (sex, elephant ID and location, ...).
For more information, please contact Virpi Lummaa, head of the Myanmar Timber Elephant project.
virpi.lummaa@utu.fi{.email}
- id: Anonymised elephant identification number
- sex: Anonymised elephant sex (A/B)
- age: Elephant age at measurement
- chest: Chest girth (cm)
- height: Height to the shoulder (cm)
- body_mass: Body mass (kg) when elephants have been weighed
- year_birth: Anonymised elephant year of birth
- cw: Anonymised elephant origin (born in captivity/capture from the wild/unknown)
- alive: Whether the elephant is alive at the moment of data analysis (Y/N)
- y_before_death: If the elephant died before analyses, the time (years) before death for each observation
- terminal: Whether observation is made within the last year of life of an individual (0/1)
- season_measure: Season when observation was made (hot/cold/monsoon)
- Township: Anonymised locality where the elephant has been seen for the last time
- measure: Whether body mass is obtained from a weighted individual (measured), or obtained from estimation based on height and chest girth (estimated)
- bm: Final body masses used in the analyses (measured and estimated)
The description of the different variables is also available (Legend_sex-specific-dataset.xlsx)
R Scripts
Below you will find a description of all scripts available and used for this paper.
R scripts are available on Zenodo, DOI: 10.5281/zenodo.6460236
0_initialisation.R: R script to create folders “figures” in which figures can be exported to, and load packages used in all following scripts.1.body_mass_estimation.R: R script for the first section of Supplementary Information (SI1). Determination of the best models and equations to estimate body masses from chest girth and height to shoulder measurements.2.data-descr.R: R script for description of the data (sample size, length of the study, sex-specific mean body mass, …)3a.sex_specific.R: Main R script for evidence for sex-specific body mass age trajectories.3b.ageing_males.R: Main R script for male body mass ageing trajectories. Description of the male body mass ageing trajectories: model comparison of different within-individual age trajectories, test for the significance of additional confounding variables, calculation of the mean age at the starting age of 18, estimation of the terminal effect, …3c.ageing_females.R: Main R script for female body mass ageing trajectories. Description of the female body mass ageing trajectories: model comparison of different within-individual age trajectories, test for the significance of additional confounding variables, calculation of the mean age at the starting age of 18, estimation of the terminal effect, …Fig1-S2-S4.R: Figure 1 R script - main document: code for the plot of the male (Fig.1A) and female (Fig.1B) body mass ageing trajectories using results of selected GLMMs with raw age on the x-axis. Figure S2 R script - main document: code for the plot of the male (Fig.S2A) and female (Fig.S2B) body mass ageing trajectories using results of selected GLMMs with original delta age x-axis. Figure S4 R script - main document: code for the plot of the male (Fig.S4A) and female (Fig.S4B) body mass ageing trajectories using results of selected GAMs.FigS3.R: Figure S3 R script - SI document: code for the plot testing different onset of terminal decline in male (Fig.S3A) and female (Fig.S3B) body mass ageing trajectories.FigS5.R: Figure S2 R script - SI document: code for the plot evidencing at which age maximum body mass is reached for males using derivatives.
Configuration
Necessitate R (>= 4.1.1) and RStudio
Citation
To cite the article and the dataset, please use:
Lalande, Lucas D., Virpi Lummaa, Htoo H. Aung, Win Htut, U. Kyaw Nyein, Vérane Berger, and Michael Briga. 2022. “Sex-Specific Body Mass Ageing Trajectories in Adult Asian Elephants.” Journal of Evolutionary Biology 35 (5): 752–62. https://doi.org/10.1111/jeb.14008.
Lalande, Lucas, Virpi Lummaa, Htoo Htoo Aung, Win Htut, U Kyaw Nyein, Vérane Berger, and Michael Briga. 2022. “Sex-Specific Body MassAging Trajectories in Adult Asian Elephants.” Dryad. https://doi.org/10.5061/DRYAD.5DV41NS59.
License
Article: CC BY 4.0
Dataset: CC0 1.0
Contact
For all queries concerning the Myanma Timber Project or the dataset:
Virpi Lummaa - virpi.lummaa@utu.fi
For all other queries:
Lucas D. Lalande - lalande.luke@gmail.com
The datasets have been anonymised. Please contact Prof. Virpi Lumma (virpi.lummaa at utu.fi) for information about Asian elephants datasets.
Please open README file for a description of the dataset and R-scripts.
