An adaptive method for identifying marine areas of high conservation priority

Area of Science:

• Marine conservation biology
• Spatial planning
• Avian ecology

Background:

• Marine conservation faces challenges due to ocean dynamics, limited data, and balancing biodiversity with human needs like fishing.
• Traditional conservation planning often focuses on single or few species, which may not be effective in dynamic marine ecosystems.

Purpose of the Study:

• To propose an integrated and adaptive method for identifying key marine conservation areas using a Patagonian seabird case study.
• To develop a decision-support framework that incorporates species distribution, existing conservation designations, and economic considerations.

Main Methods:

• Utilized Marxan, a decision-support tool, integrating projected seabird distributions (14 species, ~2.2 million individuals) and BirdLife Important Bird and Biodiversity Areas (IBAs).
• Incorporated economic costs of potential fishing regulations into the conservation planning process.
• Analyzed marine currents to identify key water masses influencing conservation priority areas.

Main Results:

• A reserve network of approximately 300,000 km² was defined, concentrated in specific inshore and offshore regions.
• The proposed network surpassed the World Parks Congress recommendation of 20% species abundance conservation.
• Identified 3 primary water masses influencing conservation priorities, highlighting connectivity but also risks from pollution.

Conclusions:

• The proposed method offers an advance over classical approaches, particularly in data-deficient situations.
• This adaptive framework can integrate new data on species, human activities, and environmental changes for effective marine conservation.
• The identified areas may enhance marine productivity but require management to mitigate threats like pollution.