Effects of mite load on growth and body condition in Sceloporus undulatus
Data files
Oct 11, 2023 version files 21.68 KB
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2016-2019_Lizard_Captures.csv
11.97 KB
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HandLens_vs_Photo_Mite_Counts.csv
762 B
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Mites_Body_Condition.csv
5.83 KB
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README.md
1.21 KB
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Verification_Growth_Rate.csv
1.91 KB
Abstract
Parasitism is nearly ubiquitous in animals and is frequently associated with fitness costs in host organisms, including reduced growth, foraging, and reproduction. In many species, males tend to be more heavily parasitized than females and thus may bear greater costs of parasitism. Sceloporus undulatus is a female-larger, sexually-size dimorphic lizard species that is heavily parasitized by chigger mites (Eutrombicula alfreddugesi). In particular, the intensity of mite parasitism is higher in male than in female juveniles during the period of time when sex differences in growth rate lead to the development of sexual size dimorphism (SSD). Sex-biased differences in fitness costs of parasitism have been documented in other species. We investigated whether there are growth costs of mite ectoparasitism, at a time coinciding with sex differences in growth rate and the onset of SSD. If there are sex-biased growth costs of parasitism, then this could suggest a contribution to the development of SSD in S. undulatus. We measured growth and mite loads in two cohorts of unmanipulated, field-active yearlings by conducting descriptive mark-recapture studies during the activity seasons of 2016 and 2019. Yearling males had consistently higher mid-summer mite loads and consistently lower growth rates than females. However, we found that growth rate and body condition were independent of mite load in both sexes. Furthermore, growth rates and mite loads were higher in 2019 than in 2016. Our findings suggest that juveniles of S. undulatus are highly tolerant of chigger mites and that any costs imposed by mites may be at the expense of functions other than growth. We conclude that sex-biased mite ectoparasitism does not contribute to sex differences in growth rate and, therefore, does not contribute to the development of SSD.
https://doi.org/10.5061/dryad.tb2rbp076
Datasets included:
1) 2016/2019 Lizard Captures
- Lizard toe clip IDs with their associated sex and age classes
- First capture date with measurements of snout-vent length (mm), body mass (g), and mite load (# of mites)
- Second capture date with measurements of snout-vent length (mm), body mass (g), and mite load (# of mites)
- Growth rate calculations for each lizard (mm/day)
2) Verification of Growth Rate Calculations
- Lizard toe clip IDs with their associated sex and age classes
- Growth rate calculations for each lizard (mm/day) using field calculations of snout-vent length
- Growth rate computed as the slope of SVL plotted as a function of date of recapture for each lizard
3) Quantifying the Accuracy of Mite Load Counts
- Lizard IDs with associated photos of body regions containing mites
- Mite loads when counted using photos and ImageJ computer software
- Mite loads when counted using a hand lens
4) 2016/2019 Body Conditions
- Body condition and mite load (# of mites) for each each yearling female and male lizard
Missing values are denoted by “null”.
These datasets were collected in Colliers Mills Wildlife Management Area in the New Jersey Pinelands (June-July 2016 and 2019).
Details for each dataset are provided in the README file.