High-frequency sampling and piecewise models reshape dispersal kernels of a common reef coral

Moneghetti, Joanne, Figueiredo, Joana, Baird, Andrew H., and Connolly, Sean R. (2019) High-frequency sampling and piecewise models reshape dispersal kernels of a common reef coral. Ecology, 100 (8). e02730.

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Abstract

Models of dispersal potential are required to predict connectivity between populations of sessile organisms. However, to date, such models do not allow for time-varying rates of acquisition and loss of competence to settle and metamorphose, and permit only a limited range of possible survivorship curves. We collect high-resolution observations of coral larval survival and metamorphosis, and apply a piecewise modeling approach that incorporates a broad range of temporally varying rates of mortality and loss of competence. Our analysis identified marked changes in competence loss and mortality rates, the timing of which implicates developmental failure and depletion of energy reserves. Asymmetric demographic rates suggest more intermediate-range dispersal, less local retention, and less long-distance dispersal than predicted by previously employed non-piecewise models. Because vital rates are likely temporally asymmetric, at least for nonfeeding broadcast-spawned larvae, piecewise analysis of demographic rates will likely yield more reliable predictions of dispersal potential.

Item ID: 60076
Item Type: Article (Research - C1)
ISSN: 1939-9170
Keywords: connectivity, dispersal potential, larval settlement, larval survival, piecewise model, settlement competence
Copyright Information: © 2019 by the Ecological Society of America
Funders: Australian Research Council (ARC)
Projects and Grants: ARC Grants DP110101168, ARC Queensland Government Smart Futures Fellowship, ARC Grant CE140100020
Date Deposited: 21 Aug 2019 07:30
FoR Codes: 05 ENVIRONMENTAL SCIENCES > 0501 Ecological Applications > 050102 Ecosystem Function @ 100%
SEO Codes: 96 ENVIRONMENT > 9605 Ecosystem Assessment and Management > 960503 Ecosystem Assessment and Management of Coastal and Estuarine Environments @ 100%
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