Mazes to Study the Effects of Spatial Complexity, Predation and Population Density on Mate Finding

Area of Science:

• Ecology
• Behavioral Ecology
• Evolutionary Biology

Background:

• Mate location and predator avoidance are crucial for species establishment and population persistence.
• Quantifying the impact of individual spacing and predation on population dynamics can be experimentally challenging.
• Habitat complexity can be a key factor influencing these ecological processes.

Purpose of the Study:

• To investigate the utility of 3D printed mazes in simulating habitat complexity for ecological studies.
• To assess how increased spatial separation and predator presence affect mate-finding in *Drosophila simulans*.
• To determine if higher population densities can mitigate the negative effects of spatial separation and predation on mating success.

Main Methods:

• Utilized 3D printed mazes with varying mathematical complexity to simulate different habitat structures.
• Introduced *Drosophila simulans* (fruit flies) into mazes to observe mate-finding behavior under controlled conditions.
• Manipulated fly population density and introduced a generalist predator to assess their impact on mating success and search time.

Main Results:

• Increased maze complexity led to longer mate-searching times and reduced mating incidence.
• Higher *D. simulans* population density significantly decreased search time and increased mating success.
• Elevated population density effectively counteracted the negative effects of both spatial separation and predator presence on mating.

Conclusions:

• 3D printed mazes provide a scalable and efficient laboratory tool for studying the effects of spatial dynamics on insect populations.
• Habitat complexity and predator presence pose significant challenges to insect mating, which can be overcome by increasing population density.
• This methodology offers a novel approach to ecological research, with potential applications beyond mate-finding, including learning studies.