Human Discrimination Data for Wasp and Hoverfly Mimicry Traits

Data from a human behavioral experiment measures the ability of observers to discriminate between images of aposematic wasps and their hoverfly mimics. The study examines contributions of specific morphological traits, including shape, abdominal patterns, and color, to discrimination decisions. It was authored by Christopher H. Taylor and published in 2019.

Use Cases

• Analyze the salience of shape versus abdominal patterns for separating wasps and hoverflies based on human discrimination data.
• Model the effect of color similarity between wasps and hoverflies on observer decision-making in mimicry recognition tasks.
• Investigate how learning influences the use of specific traits, such as shape, over time in a foraging game context.
• Compare the information content of abdominal patterns to other traits like shape for understanding imperfect mimicry.

Strengths

• Focuses on realistic variation in traits of natural aposematic wasps and hoverfly mimics.
• Examines specific, biologically relevant traits like shape, abdominal patterns, and color similarity.
• Data supports findings on the differential salience of traits to human 'predators'.

Limitations

• Data sample size and number of human subjects are not specified in the provided input.
• Findings are based on human observers, which may not directly translate to natural predator behavior.
• Specific file formats, data structure (rows/columns), and raw measurements are unknown.

Provenance

Source

Dryad digital repository.

Collection Method

Human behavioral experiment where subjects discriminated between images of wasps and hoverflies with varying traits visible.

Freshness

Last updated in 2019.