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Adaptive foraging under stoichiometric constraints can reshape competitive outcomes
Oluwagbemisola Oladepo1, Angela Peace2
1Department of Mathematics and Statistics, Texas Tech University, 2500 Broadway, Lubbock, TX, 79409, USA.
Adaptive foraging allows species to coexist by adjusting feeding effort based on resource quality. This ecological stoichiometry model shows adaptation can overcome resource limitations and alter competitive dynamics.
Area of Science:
- Ecology
- Ecological Stoichiometry
- Evolutionary Ecology
Background:
- The Competitive Exclusion Principle traditionally limits species coexistence based on resource quantity.
- Ecological stoichiometry reveals nutrient ratios (e.g., carbon, nitrogen, phosphorus) influence competition and coexistence.
- Previous models often assume fixed consumer feeding effort.
Purpose of the Study:
- To extend stoichiometric competition models by incorporating adaptive foraging.
- To investigate how dynamic changes in consumer feeding effort affect competitive outcomes.
- To analyze the conditions under which adaptive foraging promotes species persistence and coexistence.
Main Methods:
- Developed two competition models: one with fixed feeding effort and one with adaptive foraging.
- Analyzed consumer-resource dynamics using analytical and numerical methods.
- Focused on a two-consumer, single-resource system with stoichiometric constraints.
Main Results:
- Adaptive foraging expands conditions for species persistence and stable coexistence.
- Consumer adaptation can reverse dominance hierarchies, enabling inferior competitors to thrive.
- Benefits of adaptation diminish under extreme resource enrichment due to reduced prey quality.
- The speed of adaptation is critical for the initially disadvantaged consumer to benefit.
Conclusions:
- Adaptive foraging under stoichiometric constraints fundamentally alters ecological competition.
- Behavioral plasticity and adaptation are key to maintaining biodiversity in resource-limited environments.
- Highlights the complex interplay between nutrient dynamics, foraging behavior, and evolutionary adaptation.
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