Management Strategy Evaluation in Fisheries Systems

Summary

Management Strategy Evaluation (MSE) constitutes a comprehensive, simulation-based framework designed to appraise the efficacy and robustness of fishery management approaches under real-world uncertainties. Central to MSE is the construction of an operating model that emulates stock dynamics, ecological interactions and data-collection processes, against which alternative management procedures — often defined by harvest control rules — are tested. Through iterative feedback loops, MSE quantifies trade-offs between objectives such as sustainable yield, stock conservation and by-catch reduction, while exposing structural, parameter and implementation uncertainties. Initially applied to single-species assessments, MSE has evolved to address ecosystem-based and multi-stock contexts, integrating climate scenarios and stakeholder preferences. Its transparent, participatory design fosters consensus among scientists, managers and fishers, offering tailored, evidence-based policy advice. Globally, MSE underpins efforts to rebuild depleted populations, refine survey frequencies and adapt harvest strategies, thereby enhancing resilience and equity in diverse fisheries governance regimes.

Research from Nature Portfolio

No recent Nature Portfolio content available.

Management Strategy Evaluation in Fisheries Systems publication trend

The graph below shows the total number of articles in management strategy evaluation in fisheries systems across all publications each year (not limited to Nature Index journals).

Technical terms

Management Strategy Evaluation (MSE): A simulation framework that tests fishery management approaches by modelling stock dynamics, observation processes and decision rules under uncertainty.

Operating model: A mathematical representation of the ‘true’ system within MSE, simulating ecological dynamics, data collection and population processes for testing management procedures.

Harvest control rule: A pre-defined algorithm or set of rules that determines catch limits or management actions based on indicators such as biomass or fishing mortality.

References

  1. Management strategy evaluation operating model conditioning: a swordfish case study. Reviews in Fish Biology and Fisheries (2024).
  2. Harvest control rules in modern fisheries management. Elementa: Science of the Anthropocene (2016).
  3. Harvest control rules used in US federal fisheries management and implications for climate resilience. Fish and Fisheries (2022).
  4. The added value of participatory modelling in fisheries management – what has been learnt?. Marine Policy (2012).
  5. Management Strategy Evaluation: Allowing the Light on the Hill to Illuminate More Than One Species. Frontiers in Marine Science (2021).
  6. Can less be more? Effects of reduced frequency of surveys and stock assessments. ICES Journal of Marine Science (2016).
  7. An Evaluation of Rebuilding Policies for U.S. Fisheries. PLOS ONE (2016).
  8. Evaluating fishery management strategies using an ecosystem model as an operating model. Fisheries Research (2021).
  9. When to conduct, and when not to conduct, management strategy evaluations. ICES Journal of Marine Science (2023).

About these summaries

This Nature Research Intelligence Topic summary is created with the cited references and a large language model. We take care to ground generated text with facts, and have systems in place to gain human feedback on the overall quality of the process in line with our AI principles. We strive to create accurate and useful summaries for people unfamiliar with the research topic and that supports this goal. These pages are a beta release and will be updated as we learn how best to help people gain value from a research topic summary.

Nature Strategy Reports
Turn complex research questions into confident strategic decisions 

When you're under pressure to set direction, justify investment, or understand your competitive position, you need more than raw data — you need trusted insights you can act on.

  • Benchmark your performance against global peers using robust, methodologically sound analysis.

  • Combine quantitative metrics with qualitative expert insight to uncover strengths, gaps and emerging opportunities.

  • Gain tailored, decision-ready recommendations aligned to your strategic priorities.

Talk to us to learn more about our data dashboards and bespoke strategy reports.

Nature Masterclasses
Grow research skills, confidence and careers with training built for every stage of the research lifecycle.

Developed with Nature Portfolio journal Editors and internationally renowned experts. Discover three ways to learn:

  • Self-paced, online courses in convenient bite-sized units, covering key skills across scientific writing, publishing, grant writing, data analysis, and more.

  • Expert trainer-led workshops with hands-on exercises and real-time feedback across core research skills, delivered via interactive group sessions.

  • Editor-led workshops combining core principles in writing and publishing, personalised 1:1 feedback from Nature Portfolio Editors and hands-on exercises.

Explore course catalogues and workshop agendas, enquire about the options or request institutional pricing.