Nutrient-Driven Adaptive Evolution of Foraging Traits Impacts Producer-Grazer Dynamics.

Area of Science:

• Ecology
• Theoretical Ecology
• Mathematical Biology

Background:

• Producer-grazer dynamics are fundamental to ecosystem function.
• Stoichiometric models are crucial for understanding nutrient cycling and population interactions.
• Foraging behavior significantly impacts population dynamics and ecosystem stability.

Purpose of the Study:

• To investigate how nutrient-driven adaptive foraging strategies influence producer-grazer population dynamics.
• To compare a fixed energetic cost model with an adaptive foraging cost model.
• To explore the potential for evolutionary rescue through dynamic foraging adjustments.

Main Methods:

• Development of two stoichiometric producer-grazer models: one with fixed feeding costs and one with adaptive feeding costs.
• Comparative analysis of model outputs to assess the impact of adaptive foraging on population dynamics.
• Simulation of environmental changes, such as food quality fluctuations and predator-prey cycles.

Main Results:

• Adaptive foraging can provide a mechanism for evolutionary rescue in response to environmental changes.
• Fast adaptation in oscillating populations can lead to wide amplitude cycles, increasing extinction risk.
• Nutrient-driven adaptive foraging strategies can benefit grazers under specific conditions.

Conclusions:

• Adaptive foraging represents a key mechanism for population resilience in changing environments.
• The interplay between adaptation rate and population cycles is critical for species survival.
• Understanding these dynamics is essential for predicting ecosystem responses to environmental variability.