A fuzzy logic approach to marine spatial management.

Area of Science:

• Marine spatial planning
• Conservation biology
• Fisheries management
• Human dimensions in ecology

Background:

• Current marine spatial planning often prioritizes biological conservation over socio-economic factors, potentially reducing user compliance and management effectiveness.
• Integrating human dimensions into spatial management is crucial for achieving both biodiversity objectives and user acceptance.

Purpose of the Study:

• To propose a fuzzy logic framework that incorporates socio-economic considerations into marine spatial planning.
• To develop and apply the Protected Area Suitability Index (PASI) for assessing marine protected area suitability.
• To balance conservation goals with the spatial preferences of resource users, specifically fishers.

Main Methods:

• Developed a fuzzy logic framework to create the Protected Area Suitability Index (PASI).
• PASI integrates fishers' spatial preferences with biological criteria to evaluate sites for protection from fishing.
• Applied the PASI framework to a small-scale reef fishery in Sabah, Malaysia.

Main Results:

• The PASI successfully combined ecological data with fisher spatial preferences to identify suitable areas for protection.
• Demonstrated the feasibility of using a socio-economic-ecological approach in marine spatial planning for a reef fishery.
• Highlighted the importance of considering fisher input for compliance and management success.

Conclusions:

• The PASI offers a flexible tool for marine spatial planning, enhancing the inclusion of human dimensions.
• This framework can be adapted to include diverse stakeholders and varying levels of protection for broader applicability.
• Balancing conservation targets with socio-economic considerations is key to successful and compliant marine management.