Preprints
https://doi.org/10.5194/egusphere-2023-778
https://doi.org/10.5194/egusphere-2023-778
25 Apr 2023
 | 25 Apr 2023

High-frequency variability dominates potential connectivity between remote coral reefs

Noam S. Vogt-Vincent, Satoshi Mitarai, and Helen L. Johnson
Journal article published: based on this EGUsphere preprint, the authors published a corresponding journal article in the ASLO journal Limnology and Oceanography.

Abstract. Coral larval dispersal establishes connectivity between reefs, but larval fluxes vary over timescales from daily to multidecadal due to oceanographic variability. Using a 2 km-resolution ocean model, we simulate daily spawning events from 1993–2019 (for a total of almost 10,000 events) across all coral reefs in the tropical southwest Indian Ocean. Although there is a significant seasonal cycle in potential connectivity at many reefs, day-to-day variability generally dominates. The importance of this day-to-day variability depends on the local geography and oceanography. Stochastic oceanographic variability introduces considerable uncertainty to dispersal predictions, imposing significant limitations on what dispersal simulations can tell us about connectivity. Protracted spawning over only a few days can significantly reduce variability associated with the likelihood of a larva settling successfully. The duration of spawning is therefore likely a more important parameter in modelling coral connectivity than the exact timing of spawning onset. Finally, we find that a small proportion of spawning events account for the majority of successfully settling larvae, particularly at remote islands, and demonstrate that a time-mean picture of dispersal may be inappropriate for predicting demographic and genetic connectivity.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Noam S. Vogt-Vincent, Satoshi Mitarai, and Helen L. Johnson
Journal article published: based on this EGUsphere preprint, the authors published a corresponding journal article in the ASLO journal Limnology and Oceanography.

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Noam S. Vogt-Vincent, Satoshi Mitarai, and Helen L. Johnson
Journal article published: based on this EGUsphere preprint, the authors published a corresponding journal article in the ASLO journal Limnology and Oceanography.

Data sets

Supplementary Dataset 1 Noam Vogt-Vincent, Satoshi Mitarai, and Helen Johnson https://doi.org/10.5281/zenodo.7825516

Video supplement

Supplementary Animation 1 Noam Vogt-Vincent https://youtu.be/ahD_1fYZ1no

Supplementary Animation 2 Noam Vogt-Vincent https://youtu.be/gZwY_ayS9s0

Supplementary Animation 3 Noam Vogt-Vincent https://youtu.be/iuOmagpaMQg

Supplementary Animation 4 Noam Vogt-Vincent https://youtu.be/MmI0oVL_OU0

Supplementary Animation 5 Noam Vogt-Vincent https://youtu.be/V8q4axYEuEE

Supplementary Animation 6 Noam Vogt-Vincent https://youtu.be/FE1v2EWIAGg

Noam S. Vogt-Vincent, Satoshi Mitarai, and Helen L. Johnson
Journal article published: based on this EGUsphere preprint, the authors published a corresponding journal article in the ASLO journal Limnology and Oceanography.

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Latest update: 13 Dec 2024
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Short summary
Coral larvae can drift through ocean currents between coral reefs, establishing connectivity, which plays an important role in coral reef resilience. However, larval transport is chaotic. We simulate coral spawning events across the tropical southwest Indian Ocean for almost three decades, and find that larval transport can vary massively from day-to-day. This variability is largely random, and this introduces a lot of uncertainty in connectivity predictions.