Passive retention of simulated larvae on coral reefs

The extent to which local coral populations are self-sustaining through local recruitment has important implications for managing coral reef systems. However, a lack of understanding has led to overly simplistic representation of this phenomenon in coral reef population models. In this study, we sim...

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Main Authors: Jim Greenwood, C. J. Sun, Christopher Doropoulos, Damian Thomson, Mark Baird, J. Porobic, Scott Condie
Format: Article
Language:English
Published: The Royal Society 2025-05-01
Series:Royal Society Open Science
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Online Access:https://royalsocietypublishing.org/doi/10.1098/rsos.241708
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author Jim Greenwood
C. J. Sun
Christopher Doropoulos
Damian Thomson
Mark Baird
J. Porobic
Scott Condie
author_facet Jim Greenwood
C. J. Sun
Christopher Doropoulos
Damian Thomson
Mark Baird
J. Porobic
Scott Condie
author_sort Jim Greenwood
collection DOAJ
description The extent to which local coral populations are self-sustaining through local recruitment has important implications for managing coral reef systems. However, a lack of understanding has led to overly simplistic representation of this phenomenon in coral reef population models. In this study, we simulate the dispersal of artificial larvae from 24 selected individual reefs across the Great Barrier Reef, Australia, over a spawning period in December 2016, to identify key physical factors influencing their retention. We found the dispersal pattern of larvae differed depending on whether they are well mixed throughout the water column and transported by depth-averaged velocity or floating near the surface, with well-mixed populations following more circuitous routes and dispersing more slowly. Retention time (Rt) varies widely between reefs, with most of the variation observed in this study (r2 = 0.90) explained by reef area (A) represented by the empirical power law relationship Rt = 10.34 A0.65, or alternatively by a combination of reef area and mean water depth ([Formula: see text]) using the linear relationship Rt = 1.23(A) – 6.38([Formula: see text]). The formation of tidal eddies and being situated among closely aggregated reefs are shown to be important factors for larval retention. Simple retention relationships like these have the potential to be incorporated into larval connectivity modelling and reef meta-community modelling where reef area and water depth are known. Further research is needed to determine how different oceanographic conditions and interannual variability will affect these relationships.
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spelling doaj-art-013cb0047c2e47858ef7018f4bb2c6b82025-08-20T01:57:05ZengThe Royal SocietyRoyal Society Open Science2054-57032025-05-0112510.1098/rsos.241708Passive retention of simulated larvae on coral reefsJim Greenwood0C. J. Sun1Christopher Doropoulos2Damian Thomson3Mark Baird4J. Porobic5Scott Condie6CSIRO Environment, Perth, Western Australia, AustraliaCSIRO Environment, Perth, Western Australia, AustraliaCSIRO Environment, Brisbane, Queensland, AustraliaCSIRO Environment, Perth, Western Australia, AustraliaCSIRO Environment, Hobart, Tasmania, AustraliaCSIRO Environment, Hobart, Tasmania, AustraliaCSIRO Environment, Hobart, Tasmania, AustraliaThe extent to which local coral populations are self-sustaining through local recruitment has important implications for managing coral reef systems. However, a lack of understanding has led to overly simplistic representation of this phenomenon in coral reef population models. In this study, we simulate the dispersal of artificial larvae from 24 selected individual reefs across the Great Barrier Reef, Australia, over a spawning period in December 2016, to identify key physical factors influencing their retention. We found the dispersal pattern of larvae differed depending on whether they are well mixed throughout the water column and transported by depth-averaged velocity or floating near the surface, with well-mixed populations following more circuitous routes and dispersing more slowly. Retention time (Rt) varies widely between reefs, with most of the variation observed in this study (r2 = 0.90) explained by reef area (A) represented by the empirical power law relationship Rt = 10.34 A0.65, or alternatively by a combination of reef area and mean water depth ([Formula: see text]) using the linear relationship Rt = 1.23(A) – 6.38([Formula: see text]). The formation of tidal eddies and being situated among closely aggregated reefs are shown to be important factors for larval retention. Simple retention relationships like these have the potential to be incorporated into larval connectivity modelling and reef meta-community modelling where reef area and water depth are known. Further research is needed to determine how different oceanographic conditions and interannual variability will affect these relationships.https://royalsocietypublishing.org/doi/10.1098/rsos.241708coral larvaedispersallocal retentionocean model
spellingShingle Jim Greenwood
C. J. Sun
Christopher Doropoulos
Damian Thomson
Mark Baird
J. Porobic
Scott Condie
Passive retention of simulated larvae on coral reefs
Royal Society Open Science
coral larvae
dispersal
local retention
ocean model
title Passive retention of simulated larvae on coral reefs
title_full Passive retention of simulated larvae on coral reefs
title_fullStr Passive retention of simulated larvae on coral reefs
title_full_unstemmed Passive retention of simulated larvae on coral reefs
title_short Passive retention of simulated larvae on coral reefs
title_sort passive retention of simulated larvae on coral reefs
topic coral larvae
dispersal
local retention
ocean model
url https://royalsocietypublishing.org/doi/10.1098/rsos.241708
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AT cjsun passiveretentionofsimulatedlarvaeoncoralreefs
AT christopherdoropoulos passiveretentionofsimulatedlarvaeoncoralreefs
AT damianthomson passiveretentionofsimulatedlarvaeoncoralreefs
AT markbaird passiveretentionofsimulatedlarvaeoncoralreefs
AT jporobic passiveretentionofsimulatedlarvaeoncoralreefs
AT scottcondie passiveretentionofsimulatedlarvaeoncoralreefs