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A generic framework for individual-based modelling and physical-biological interaction.

Asbjørn Christensen1, Patrizio Mariani1, Mark R Payne1

  • 1DTU Aqua, Technical University of Denmark, Kgs. Lyngby, Denmark.

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Summary
This summary is machine-generated.

A new open-source framework, IBMlib, enables detailed marine ecosystem simulations by coupling individual-based biological models with oceanographic data. This tool aids in understanding and predicting marine life responses to environmental changes.

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Area of Science:

  • Marine ecology
  • Computational oceanography
  • Ecosystem modeling

Background:

  • High-resolution ocean data facilitates analysis of physical-biological interactions.
  • Understanding marine ecosystem dynamics requires integrating organism-level behavior with environmental conditions.

Purpose of the Study:

  • Introduce IBMlib, a versatile framework for Lagrangian simulations in marine environments.
  • Facilitate coupling of individual-based biological models with 3D oceanographic models without scale assumptions.

Main Methods:

  • Developed an open-source framework with a minimal, robust interface for model coupling.
  • Implemented and benchmarked code performance for longevity and effectiveness.
  • Provided application examples including forward/backward simulations and habitat connectivity.

Main Results:

  • Demonstrated the framework's versatility through diverse simulation examples.
  • Validated computational effectiveness and portability for marine simulations.
  • Presented code design for long-term usability and adaptability.

Conclusions:

  • IBMlib offers a powerful tool for advancing marine ecosystem representation and prediction.
  • The framework supports improved understanding of physical-biological interactions.
  • IBMlib can contribute to effective marine ecosystem management strategies.