Related Experiment Video
Updated: Aug 25, 2025

Manipulation of Color Patterns in Jumping Spiders for Use in Behavioral Experiments
Published on: May 21, 2019
Joint effects of female preference intensity and frequency-dependent predation on the polymorphism maintenance in
Aditya Ponkshe1,2, John A Endler1
1Centre for Integrative Ecology, School of Life & Environmental Sciences Deakin University Waurn Ponds Victoria Australia.
Abstract:
Maintenance of variation in aposematic traits within and among populations is paradoxical because aposematic species are normally under positive frequency-dependent predation (PFD), which is expected to erode variation. Aposematic traits can evolve in an ecological context where aposematic traits are simultaneously under mate choice. Here, we examine how the mate preference intensity affects the permissiveness of polymorphism in sexually selected aposematic traits under different PFD regimes. We use the haploid version of the classical sexual selection model and show that strong mate preferences can substantially increase the permissiveness of polymorphism in aposematic traits under different PFD regimes. The Fisher process can interact with PFD, and their interaction can promote the maintenance of polymorphism within populations when mate preferences are strong. We show that the same selective conditions that promote the maintenance of polymorphism within populations reduce the likelihood of divergence in aposematic traits among populations.
Related Concept Videos
Frequency-dependent Selection
Types of Selection
Mate Choice
Natural Selection and Mating Preferences
Females, due to their biological roles in conception, pregnancy, and nursing,...
Predator-Prey Interactions
Testing a Claim about Population Proportion
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...

