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Estimating dispersal potential for marine larvae: dynamic models applied to scleractinian corals
Sean R Connolly1, Andrew H Baird
1ARC Centre of Excellence for Coral Reef Studies, James Cook University, Townsville, Queensland 4811, Australia. sean.connolly@jcu.edu.au
Ecology
|February 10, 2011
Summary
New models improve marine larval dispersal predictions by accounting for variable survival and settlement timing. This better explains coral population structure and connectivity across large geographic ranges.
Area of Science:
- Marine Ecology
- Evolutionary Biology
- Biogeography
Background:
- Larval dispersal models often use simplifying assumptions about mortality and settlement competence.
- These assumptions may inaccurately represent temporal dynamics, impacting ecological and evolutionary predictions.
Purpose of the Study:
- To develop and test improved models of marine larval dispersal potential.
- To incorporate variable larval mortality and settlement competence dynamics.
- To estimate dispersal potential in scleractinian corals using empirical data.
Main Methods:
- Developed novel dispersal models incorporating time-varying mortality and settlement competence.
- Fitted these models to empirical survival and competence data for five coral species.
- Analyzed model fits to characterize empirical patterns and estimate dispersal potential.
Main Results:
- Models successfully captured empirical survival and competence patterns, outperforming traditional approaches.
- High within-cohort variation in settlement competence duration was observed across species.
- This variation was found to increase both self-recruitment and long-distance dispersal.
Conclusions:
- Variable competence dynamics significantly impact marine dispersal potential and metapopulation connectivity.
- The findings help resolve the paradox of high genetic structure despite large ranges in some coral species.
- The approach offers a parsimonious method to account for competence variation in future dispersal models.
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