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Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

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Making spatial-temporal marine ecosystem modelling better - A perspective.

Jeroen Steenbeek¹, Joe Buszowski¹, David Chagaris²

¹Ecopath International Initiative, Barcelona, Spain.

Environmental Modelling & Software : with Environment Data News

|November 4, 2021

Summary

This summary is machine-generated.

Marine Ecosystem Models (MEMs) are crucial for ocean science but are underutilized due to a lack of validation and technical issues. Addressing these challenges can improve their policy relevance and sustainable ocean management.

Keywords:

Capacity building Opinion Spatial-temporal marine ecosystem modelling Systematic model calibration Systematic skill assessments

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Area of Science:

Marine ecology
Oceanography
Ecological modeling

Background:

Marine Ecosystem Models (MEMs) are vital for understanding marine ecosystem dynamics and supporting sustainable ocean management.
The UN Decade of Ocean Science emphasizes deploying complex MEMs for policy and societal engagement.
Current MEMs face challenges in validation, calibration, and uncertainty quantification, hindering their credibility and adoption.

Purpose of the Study:

To investigate the reasons behind the underutilization of MEMs in policy and societal dialogues.
To identify the gap between proposed solutions for model assessment and their systematic implementation.
To propose a cost-effective and scalable solution to enhance the usefulness of MEMs.

Main Methods:

Literature review and analysis of proposed solutions for model assessment.
Identification of technical barriers hindering the systematic deployment of MEMs.
Conceptualization of a simplified approach to address model complexity.

Main Results:

A significant gap exists between theoretical solutions for assessing MEMs and their practical application.
Technical issues, often overlooked in the literature, are a primary cause of this gap.
Existing proposed solutions for MEM assessment are not systematically deployed.

Conclusions:

Formal validation, calibration, and uncertainty quantification are critical for increasing MEM credibility and policy uptake.
Addressing overlooked technical issues is essential for bridging the gap in MEM deployment.
A simple, cost-effective, and scalable conceptual solution is proposed to improve the utility of complex marine ecosystem models.