Related Experiment Video
Updated: Jun 22, 2026

Collecting Marine Gnathiid Isopod Fish Parasites with Light Traps
Published on: September 25, 2023
Intraspecific competition and high food availability are associated with insular gigantism in a lizard
Panayiotis Pafilis1, Shai Meiri, Johannes Foufopoulos
1School of Natural Resources & Environment, University of Michigan, Dana Building, 440 East University, Ann Arbor, MI 48109-1041, USA. pafman@umich.edu
Abstract:
Resource availability, competition, and predation commonly drive body size evolution. We assess the impact of high food availability and the consequent increased intraspecific competition, as expressed by tail injuries and cannibalism, on body size in Skyros wall lizards (Podarcis gaigeae). Lizard populations on islets surrounding Skyros (Aegean Sea) all have fewer predators and competitors than on Skyros but differ in the numbers of nesting seabirds. We predicted the following: (1) the presence of breeding seabirds (providing nutrients) will increase lizard population densities; (2) dense lizard populations will experience stronger intraspecific competition; and (3) such aggression, will be associated with larger average body size. We found a positive correlation between seabird and lizard densities. Cannibalism and tail injuries were considerably higher in dense populations. Increases in cannibalism and tail loss were associated with large body sizes. Adult cannibalism on juveniles may select for rapid growth, fuelled by high food abundance, setting thus the stage for the evolution of gigantism.
Related Concept Videos
Competition
Population Growth
Types of Selection
Predator-Prey Interactions
Optimal Foraging
Testing a Claim about Mean: Unknown Population SD
Estimating a population mean requires the samples to be approximately normally distributed. The data should be collected from the randomly selected samples having no sampling bias. There is no specific requirement for sample size. But if the sample size is less than 30, and we don't know the population standard deviation, a different approach is used; instead...

