Bioeconomic Models for Marine Reserve Management

Bioeconomic models for marine reserve management combine ecological population dynamics with economic decision-making to evaluate the trade-offs between conservation objectives and fishery performance. These frameworks typically represent fish growth, larval dispersal and adult movement (spillover) alongside fisher behaviour and effort allocation. Static approaches map habitat and fishing profitability to propose reserve locations, while dynamic models incorporate temporal feedbacks from population recovery and economic adaptation. By simulating scenarios of reserve size, placement and harvest intensity, bioeconomic models identify strategies that maximise yield, profit or biodiversity protection under varying regulatory and open-access conditions. Such models have illuminated the influence of species mobility, local depletion, market prices and compliance on optimal reserve design. Across tropical and temperate seascapes, bioeconomic analyses support policy decisions aimed at meeting international conservation targets while safeguarding livelihoods and food security.

Research from Nature Portfolio

Recent studies have refined spatially explicit bioeconomic analyses to capture regional differences in fishers’ responses and ecological outcomes. One investigation of a marine reserve network demonstrated that local adaptations by fishers—intensive effort at reserve borders versus area abandonment—can drive divergent yield trends, highlighting the importance of stakeholder collaboration in model calibration. Another evaluation of two vast no-take monuments employed high-resolution catch and effort data with quasi-experimental econometric techniques to show that closing large ocean areas can have neutral to positive effects on catch-per-unit-effort, validating predictions of minimal economic harm from extensive closures. Foundational work on food security under open-access conditions integrated fish population growth, mobility, market value and harvesting cost into a unified model, deriving reserve-size guidelines that optimise both local protein supply and conservation outcomes in data-poor settings.

Bioeconomic Models for Marine Reserve Management publication trend

The graph below shows the total number of articles in bioeconomic models for marine reserve management across all publications each year (not limited to Nature Index journals).

Technical terms

Bioeconomic model: A quantitative framework integrating biological population dynamics with economic decision rules for harvesting and management.

Spillover: Net movement of adults or juveniles from protected areas into adjacent fished zones, affecting catch rates.

Catch-per-unit-effort (CPUE): A measure of fishery productivity, calculated as catch divided by the amount of effort expended (e.g. time, gear use).

No-take zone: A fully protected marine area where all extractive activities are prohibited to allow ecosystem recovery.

Open-access fishery: A fishery without effective entry or harvest restrictions, often leading to overexploitation without management controls.

References

1. Fisheries and biodiversity benefits of using static versus dynamic models for designing marine reserve networks. Ecosphere (2015).
2. Regional differences in fishing behavior determine whether a marine reserve network enhances fishery yield. Scientific Reports (2024).
3. Impact of two of the world's largest protected areas on longline fishery catch rates. Nature Communications (2020).
4. Designing MPAs for food security in open-access fisheries. Scientific Reports (2019).
5. Marine Reserve Targets to Sustain and Rebuild Unregulated Fisheries. PLOS Biology (2017).
6. Evidence of rebound effect in New Zealand MPAs: Unintended consequences of spatial management measures. Ocean & Coastal Management (2023).