A new conceptual and quantitative approach to exploring and defining potential open-access olfactory information

Area of Science:

• Ecology
• Chemical Ecology
• Bioacoustics

Background:

• Organisms emit olfactory information, crucial for ecological interactions.
• Characterizing this information from complex odour emissions is challenging due to olfactory noise.

Purpose of the Study:

• To present a new conceptual framework for defining information reliability.
• To develop a practical method for characterizing and recovering informative olfactory signals.
• To explore the relationship between information, noise, cues, and signals.

Main Methods:

• Quantified odour emissions from two tree species (focal and outgroup).
• Developed and utilized two new R statistical functions for data analysis.
• Applied a novel method incorporating receiver detection and discrimination principles.

Main Results:

• Identified and quantified informative odour combinations from thousands of possibilities.
• Mapped olfactory information within a consistency-precision reliability space.
• Demonstrated the ability to test information-noise boundaries.

Conclusions:

• The developed framework and method effectively characterize and recover reliable olfactory information.
• This approach advances the study of ecological interactions and evolutionary processes driven by chemical communication.
• The method provides a robust way to differentiate between olfactory cues and signals.