Related Experiment Video
Updated: Aug 6, 2026

Experimental Manipulation of Body Size to Estimate Morphological Scaling Relationships in Drosophila
Published on: October 1, 2011
Parasite body size distributions: interpreting patterns of skewness
1Department of Zoology, University of Otago, Dunedin, New Zealand. robert.poulin@stonebow.otago.ac.nz
Abstract:
We examined the distributions of log body sizes of parasite species to test the prediction that the different physical constraints acting on endoparasites and ectoparasites can lead to different size distributions, and to see whether the distributions of parasite body sizes differ from those of free-living animals. We used body size distributions from 19 groups of parasitic of free-living animals, including over 7000 species and almost 2400 genera. There were differences between the body size distributions of male and female parasites, and between the body size distributions of related parasites exploiting different types of hosts. In general, parasite body size distributions were less frequently log right skewed than those of free-living animals. Ectoparasites tended to have more symmetric body size distributions than endoparasites, in which the most speciose size classes tended to be the smaller ones. Severe space constraints and a greater diversity of small niches may only allow the diversification of small endoparasites, whereas ectoparasite body sizes may face less severe limitations.
Related Concept Videos
Types of Skewness
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
Skewness
The longer the tail of the plot on one side, the more skewed it is. The skewness of a data set’s values suggests that the measures of central tendency are...
Sampling Distribution
Distributions to Estimate Population Parameter
Data: Types and Distribution
Distributions in...
Microsoft Excel: Finding Central Tendency, Skew, and Kurtosis
Mean: The arithmetic average of all data points. It is calculated by adding all the values together and dividing by the number of values. The mean is sensitive to extreme values (outliers).
Median: The middle value when the data points are arranged in ascending or descending...

