Planning Marine Reserve Networks for Both Feature Representation and Demographic Persistence Using Connectivity
Michael Bode1,2, David H Williamson2, Rebecca Weeks2
1ARC Centre of Excellence for Environmental Decisions, School of Botany, The University of Melbourne, Parkville, Melbourne, VIC, 3010, Australia.
This study introduces a new method for designing marine reserve networks that balances conservation feature representation with population persistence. The findings highlight the complexity of achieving persistence goals for marine species, especially those with wide dispersal.
Area of Science:
- Marine Conservation Planning
- Systematic Conservation Design
- Population Viability Analysis
Background:
- Designing effective marine reserve networks requires representing key conservation features and ensuring population persistence.
- Current systematic conservation planning methods often use inadequate surrogates for demographic processes like larval dispersal.
- Limited spatial and life-history data, particularly on larval dispersal, complicates reserve network design for many species.
Purpose of the Study:
- To develop a novel systematic conservation planning method that integrates demographic persistence with feature representation.
- To address the challenge of incorporating mechanistic descriptions of population viability into reserve design.
- To apply and evaluate this method for designing a marine reserve network for coral reefs in the Keppel Islands.
Main Methods:
- Constructed a novel systematic conservation planning method incorporating persistence and complementary feature representation.
- Parameterized the method using demographic persistence goals for the bar-cheeked trout (Plectropomus maculatus).
- Designed and compared reserve networks optimized for representation, persistence, or both simultaneously.
Main Results:
- Persistence constraints are significantly more complex and challenging to achieve than representation targets for marine reserves.
- Representation and persistence goals often conflict, pulling reserve network designs in divergent directions.
- The developed method provides a practical approach for designing reserve networks that meet both representation and persistence criteria.
Conclusions:
- The novel method effectively integrates demographic persistence and feature representation in marine reserve design.
- Achieving population persistence for dispersive marine organisms presents unique challenges in conservation planning.
- The method's utility in data-limited situations requires further consideration for broader marine conservation applications.
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