Towards a Probabilistic Understanding About the Context-Dependency of Species Interactions

Area of Science:

• Ecology
• Theoretical Ecology
• Population Biology

Background:

• Species interactions (mutualistic, competitive, antagonistic, neutral) are known to shift between classes.
• Context-dependency of these interactions, influenced by biotic and abiotic factors, complicates systematic analysis.
• Quantifying the frequency and predictability of interaction class switching remains a challenge.

Purpose of the Study:

• To develop an overarching theoretical framework for predicting species interaction class switches.
• To establish null expectations for interaction switching across diverse environmental contexts.
• To provide a systematic platform for generating new hypotheses and quantifiable predictions regarding context-dependency.

Main Methods:

• Integration of probabilistic and structural approaches to model interaction dynamics.
• Development of a theoretical framework to define baseline expectations for interaction switching.
• Focus on establishing null models for ecological interaction analysis.

Main Results:

• The proposed framework offers a systematic approach to analyze context-dependency in species interactions.
• It allows for the establishment of clear, quantifiable predictions about interaction class switches.
• Provides a foundation for future research into the drivers and patterns of interaction plasticity.

Conclusions:

• The integrated theoretical framework successfully addresses the complexity of context-dependent species interactions.
• It enables the generation of testable hypotheses and precise expectations for interaction switching.
• This work advances our understanding of ecological dynamics and the predictability of species interactions in changing environments.