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Updated: May 6, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
A three-way trade-off maintains functional diversity under variable resource supply.
Kyle F Edwards1, Christopher A Klausmeier, Elena Litchman
1Kellogg Biological Station, Michigan State University, Hickory Corners, Michigan 49060.
Organisms adapt to fluctuating resources through traits like growth and nutrient storage. This study reveals a trade-off in phytoplankton, explaining species coexistence and community structure.
Area of Science:
- Ecology
- Evolutionary Biology
- Environmental Science
Background:
- Organismal resource needs fluctuate, driving adaptations to variable supply.
- Understanding functional trade-offs is key to explaining community trait structure and species coexistence.
Purpose of the Study:
- To investigate trade-offs between maximum growth rate, phosphorus (P) competitive ability, and P storage in phytoplankton.
- To model competition under pulsed P supply using empirical trait data.
Main Methods:
- Comparative analysis of phytoplankton species' traits.
- Parameterization of a mechanistic competition model with empirical trait covariation.
- Simulation of competition under varying nutrient regimes, productivity, and mortality.
Main Results:
- Evidence found for a three-way trade-off among maximum growth rate, P competitive ability, and P storage.
- Model demonstrates that different strategies are favored under distinct environmental conditions.
- Model predicts coexistence of multiple strategies, with trait ranges mirroring natural communities.
Conclusions:
- Mechanistic models integrating empirical trait data and community structure are crucial for understanding ecological diversity.
- Functional trade-offs significantly shape phytoplankton community assembly and trait distribution.
- Phytoplankton exhibit complex adaptations to nutrient variability, influencing ecosystem dynamics.
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