Ecology needs to overcome siloed modelling.

Area of Science:

• Marine biology
• Ecological modeling
• Antarctic ecosystems

Background:

• Accurate modeling of Antarctic krill (Euphausia superba) is crucial for understanding Southern Ocean food webs.
• Existing growth models for Antarctic krill exhibit significant discrepancies in their predictions.
• The variability in model outputs hinders reliable assessments of krill population dynamics and ecosystem impacts.

Purpose of the Study:

• To re-implement and evaluate eight existing growth models for Antarctic krill.
• To identify the causes of divergence among model predictions.
• To propose a framework for improving coherence in Antarctic krill modeling.

Main Methods:

• Re-implementation of eight published Antarctic krill growth models using consistent parameterization where possible.
• Comparative analysis of model outputs under defined environmental scenarios.
• Qualitative assessment of model structures and underlying assumptions.

Main Results:

• Re-implemented models produced widely divergent predictions for Antarctic krill growth and biomass.
• Discrepancies were attributed to differences in model structure, parameterization, and incorporated biological processes.
• No single model consistently outperformed others across all scenarios.

Conclusions:

• Systematic model comparison and integration are necessary to achieve more coherent predictions.
• Development of a standardized "common language" or framework is essential for integrating and advancing Antarctic krill modeling efforts.
• Future research should focus on model intercomparison studies and the development of more robust, unified modeling approaches.