Identifying mechanisms that structure ecological communities by snapping model parameters to empirically observed...

Area of Science:

• Ecology
• Theoretical Ecology
• Plant Community Ecology

Background:

• Interspecific tradeoffs are theoretically central to species coexistence and community composition.
• Mechanism-based ecological models require accurate parameterization, often relying on empirical tradeoff data.
• Nitrogen uptake and retention traits are known to influence grassland plant interactions.

Purpose of the Study:

• To develop and test a model integrating empirically observed interspecific tradeoffs into ecological predictions.
• To assess the impact of incorporating tradeoff information on the accuracy of community composition models.
• To evaluate a novel 'snapping' method for parameterizing models with tradeoff data.

Main Methods:

• A model was developed for 35 grassland plant species.
• Monoculture measurements of three nitrogen-related traits were used for parameterization.
• A 'snapping' method was employed to align species characteristics with the observed tradeoff surface.

Main Results:

• Empirically measured species characteristics formed a distinct tradeoff surface, aligning with theoretical expectations.
• Models parameterized with tradeoff data accurately predicted observations from multi-species mixtures.
• The 'snapping' method significantly improved model prediction accuracy.

Conclusions:

• Interspecific tradeoffs, particularly those related to nitrogen dynamics, are key drivers of grassland plant community structure.
• Integrating empirical tradeoff data into mechanism-based models enhances predictive power.
• The 'snapping' method offers a broadly applicable approach for identifying influential tradeoffs in ecological modeling.