1
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Greenwood J, Sun CJ, Doropoulos C, Thomson D, Baird M, Porobic J, Condie S. Passive retention of simulated larvae on coral reefs. ROYAL SOCIETY OPEN SCIENCE 2025; 12:241708. [PMID: 40421050 PMCID: PMC12105734 DOI: 10.1098/rsos.241708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Revised: 02/07/2025] [Accepted: 04/08/2025] [Indexed: 05/28/2025]
Abstract
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 (r 2 = 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 (h ¯ ) using the linear relationship Rt = 1.23(A) - 6.38(h ¯ ). 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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Affiliation(s)
- Jim Greenwood
- CSIRO Environment, Perth, Western Australia, Australia
| | - C. J. Sun
- CSIRO Environment, Perth, Western Australia, Australia
| | | | | | - Mark Baird
- CSIRO Environment, Hobart, Tasmania, Australia
| | - J. Porobic
- CSIRO Environment, Hobart, Tasmania, Australia
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2
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Gouezo M, Langlais C, Beardsley J, Roff G, Harrison PL, Thomson DP, Doropoulos C. Going with the flow: Leveraging reef-scale hydrodynamics for upscaling larval-based restoration. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2025; 35:e70020. [PMID: 40190264 PMCID: PMC11973625 DOI: 10.1002/eap.70020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/09/2024] [Revised: 01/30/2025] [Accepted: 02/19/2025] [Indexed: 04/09/2025]
Abstract
Anthropogenic pressures are impacting coastal marine ecosystems, necessitating large-scale interventions to accelerate recovery. Propagule-based restoration holds the potential for restoring shallow coastal systems at hectare scales by harnessing natural dispersal. However, predicting propagule dispersal remains challenging due to the complex hydrodynamic nature of coastal marine ecosystems and the complex behaviors of marine propagules. To improve predictions of fine-scale larval dispersal patterns, we developed a 3D reef-scale (~30-m resolution) dispersal model for Lizard Island, Australia, with the aim to predict the effect of island-scale hydrodynamics on the distribution of coral spawn slicks and larvae. Using in situ field observations and dispersal simulations, we assessed the model's capability to (1) forecast hydrodynamic conditions, (2) predict coral spawn slick convergence zones for collection efforts, and (3) identify optimal locations and timeframes where high particle residence time may enhance local settlement following larval delivery to damaged reefs. Predictions of convergence zones in the upper water column aligned well with field observations of coral spawn slicks. At the reef benthos, the model captured variability in current speed and direction at ~58% of studied locations. At other locations, the model did not resolve hydrodynamic conditions due to sheltering effects and associated hydrodynamic processes occurring at a scale below 50 m. At locations where the model performed well, propagules could remain within a 1-ha area around the delivery site for 5-15 h depending on locations and the timing of larval release. These high retention conditions were infrequent but occurred at least once at 15 of the 25 studied sites. Observations of local currents a posteriori confirmed model predictions, showing periods of little water movement lasting from 6.5 to 15 h. Overall, our study highlights fine-scale dispersal modeling as a key tool for scaling up larval-based reef restoration, while also acknowledging the need for better predictions of local conditions in complex, shallow environments. Applications of fine-scale modeling, coupled with local knowledge of reproductive timing and larval behavioral ecology, assist with the mass collection of propagules upon release and in identifying areas and times of optimal larval deployment to achieve the greatest impact.
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Affiliation(s)
- Marine Gouezo
- Faculty of Science and EngineeringSouthern Cross UniversityEast LismoreNew South WalesAustralia
- CSIRO EnvironmentSt LuciaQueenslandAustralia
| | | | | | - George Roff
- CSIRO EnvironmentSt LuciaQueenslandAustralia
| | - Peter L. Harrison
- Faculty of Science and EngineeringSouthern Cross UniversityEast LismoreNew South WalesAustralia
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3
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Skinner C, Bozec YM, Matthews SA, Williamson DH, Beeden R, Mumby PJ. Advancing projections of crown-of-thorns starfish to support management interventions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175282. [PMID: 39111433 DOI: 10.1016/j.scitotenv.2024.175282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 07/18/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024]
Abstract
Outbreaks of corallivorous Crown of Thorns Starfish (Acanthaster spp.; CoTS) cause substantial coral mortality throughout the Indo-Pacific, particularly on the Great Barrier Reef (GBR). Refining CoTS population density modelling and understanding the disparities between real-world observations and model predictions is crucial for developing effective control strategies. Using a spatially explicit ecosystem model of the GBR, we compared CoTS density model predictions to observations and incorporated a new zone-specific mortality rate to account for differences in predation of CoTS between fished and protected reefs. We found high congruence between predictions and observations: ∼81 % of categorical reef level CoTS densities matched or only differed by one category. However, underpredictions increased with higher observed densities. Zone-specific CoTS mortality reduced severe underpredictions from 7.1 % to 5.6 %, which is critical for managers as underpredictions indicate missing outbreaks where targeted culling is necessary, but also lead to underestimated coral loss attributed to CoTS outbreaks. Reef protection status affected prediction accuracy, highlighting the importance of further research on in situ CoTS mortality rates. The location of a reef inside or outside the "initiation box", a speculative area of primary outbreaks (i.e., initial abrupt population increases) on the GBR, also influenced accuracy, with exact predictions more likely outside. Accurately modelling initiation box dynamics is challenging due to limited empirical data on CoTS outbreaks, highlighting the need for focussed research on outbreak dynamics to enhance predictive accuracy. Spatial factors, such as region and shelf position, contributed to the variance between observations and predictions, underscoring the importance of the spatial-temporal context of each observation. Observations of CoTS can help refine model predictions, guide targeted control measures, and contribute to effective ecosystem management for the long-term resilience of the GBR and other reefs targeted by CoTS throughout the Indo-Pacific.
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Affiliation(s)
- Christina Skinner
- School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia.
| | - Yves-Marie Bozec
- School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia
| | - Samuel A Matthews
- Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia
| | - David H Williamson
- Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia
| | - Roger Beeden
- Great Barrier Reef Marine Park Authority, Townsville 4810, QLD, Australia
| | - Peter J Mumby
- School of the Environment, University of Queensland, St Lucia 4072, QLD, Australia
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4
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Ani CJ, Haller-Bull V, Gilmour JP, Robson BJ. Connectivity modelling identifies sources and sinks of coral recruitment within reef clusters. Sci Rep 2024; 14:13564. [PMID: 38866879 PMCID: PMC11169499 DOI: 10.1038/s41598-024-64388-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Accepted: 06/07/2024] [Indexed: 06/14/2024] Open
Abstract
Connectivity aids the recovery of populations following disturbances, such as coral bleaching and tropical cyclones. Coral larval connectivity is a function of physical connectivity and larval behaviour. In this study, we used OceanParcels, a particle tracking simulator, with 2D and 3D velocity outputs from a high resolution hydrodynamic-biogeochemical marine model (RECOM) to simulate the dispersal and settlement of larvae from broadcast spawning Acropora corals in the Moore Reef cluster, northern Great Barrier Reef, following the annual spawning events in 2015, 2016 and 2017. 3D velocity simulations showed 19.40-68.80% more links and sinks than those of 2D simulations. Although the patterns of connectivity among sites vary over days and years, coral larvae consistently dispersed from east to west in the cluster domain, with some sites consistently acting as sources or sinks for local larval recruitment. Results can inform coral reef intervention plans for climate change, such as the design of marine protected areas and the deployment of proposed interventions within reef clusters. For example, the wider benefits of interventions (e.g., deployment of heat adapted corals) may be optimised when deployed at locations that are a source of larvae to others within comparable habitats across the reef cluster.
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Affiliation(s)
- Chinenye J Ani
- Australian Institute of Marine Science, PMB3 Townsville, Townsville, QLD 4810, Australia.
- AIMS@JCU, Australian Institute of Marine Science, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.
| | - Vanessa Haller-Bull
- Australian Institute of Marine Science, PMB3 Townsville, Townsville, QLD 4810, Australia
| | - James P Gilmour
- Australian Institute of Marine Science, Indian Ocean Marine Research Centre, The University of Western Australia, Crawley, Western Australia, Australia
- Oceans Institute, The University of Western Australia, Crawley, Western Australia, Australia
| | - Barbara J Robson
- Australian Institute of Marine Science, PMB3 Townsville, Townsville, QLD 4810, Australia
- AIMS@JCU, Australian Institute of Marine Science, College of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia
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5
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Sakai Y, Yamamoto HH, Maruyama S. Long-term aquarium records delineate the synchronized spawning strategy of Acropora corals. ROYAL SOCIETY OPEN SCIENCE 2024; 11:240183. [PMID: 39076805 PMCID: PMC11285485 DOI: 10.1098/rsos.240183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/25/2024] [Accepted: 04/26/2024] [Indexed: 07/31/2024]
Abstract
Aligning spawning timing with seasonal environmental changes is critical for both terrestrial and aquatic organisms. However, mechanisms to regulate reproductive activity in response to environmental factors are not well understood, partly owing to the technical difficulty in maintaining detailed long-term observational data of the reproductive activities in the same population across years. In this study, we present an application of the aquarium system to examine the long-term spawning properties of corals. Spawning records over a 15-year period at the Okinawa Churaumi Aquarium revealed that the spawning timing of Acropora corals in aquarium tanks aligned well with that of wild corals from a neighbouring reef. Using the aquarium population as a model, we investigated the relationship between key environmental factors and the timing of the first and peak spawning dates of Acropora corals during a 15-year period. The results suggest that the spawning window of each spawning season is largely influenced by the water temperature and that the timing of peak spawning can be fine-tuned in response to environmental fluctuations. This behavioural feature can prevent synchronous spawning events during unfavourable environmental conditions and increase long-term reproductive reliability.
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Affiliation(s)
- Yusuke Sakai
- Department of Biology, Graduate School of Science, Osaka Metropolitan University, Osaka558-8585, Japan
| | - Hiromi H. Yamamoto
- Okinawa Churashima Foundation Research Institute, Okinawa905-0206, Japan
| | - Shinichiro Maruyama
- Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba277-8562, Japan
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6
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Cooney C, Sommer B, Marzinelli EM, Figueira WF. The role of microbial biofilms in range shifts of marine habitat-forming organisms. Trends Microbiol 2024; 32:190-199. [PMID: 37633773 DOI: 10.1016/j.tim.2023.07.015] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 07/25/2023] [Accepted: 07/27/2023] [Indexed: 08/28/2023]
Abstract
Marine species, such as corals and kelp, are responding to climate change by altering their distributions. Microbial biofilms underpin key processes that affect the establishment, maintenance, and function of these dominant habitat-formers. Climate-mediated changes to microbial biofilms can therefore strongly influence species' range shifts. Here, we review emerging research on the interactions between benthic biofilms and habitat-formers and identify two key areas of interaction where climate change can impact this dynamic: (i) via direct effects on biofilm composition, and (ii) via impacts on the complex feedback loops which exist between the biofilm microbes and habitat-forming organisms. We propose that these key interactions will be fundamental in driving the speed and extent of tropicalisation of coastal ecosystems under climate change.
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Affiliation(s)
- Christopher Cooney
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia.
| | - Brigitte Sommer
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia; School of Life Sciences, University of Technology Sydney, Sydney, NSW 2007, Australia
| | - Ezequiel M Marzinelli
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia; Singapore Centre for Environmental Life Sciences Engineering, Nanyang Technological University, Singapore
| | - Will F Figueira
- School of Life and Environmental Sciences, The University of Sydney, Sydney, NSW 2006, Australia
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7
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Randall CJ, Giuliano C, Stephenson B, Whitman TN, Page CA, Treml EA, Logan M, Negri AP. Larval precompetency and settlement behaviour in 25 Indo-Pacific coral species. Commun Biol 2024; 7:142. [PMID: 38297134 PMCID: PMC10830509 DOI: 10.1038/s42003-024-05824-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024] Open
Abstract
Knowledge of coral larval precompetency periods and maximum competency windows is fundamental to understanding coral population dynamics, informing biogeography and connectivity patterns, and predicting reef recovery following disturbances. Yet for many species, estimates of these early-life history metrics are scarce and vary widely. Furthermore, settlement cues for many taxa are not known despite consequences to habitat selection. Here we performed a comprehensive experimental time-series investigation of larval settlement behaviour, for 25 Indo-Pacific broadcast-spawning species. To investigate the duration of precompetency, improve predictions of the competency windows, and compare settlement responses within and amongst species, we completed replicated and repeated 24-hour assays that exposed larvae to five common settlement cues. Our study revealed that larval competency in some broadcast-spawning species begins as early as two days post fertilization, but that the precompetency period varies within and between species from about two to six days, with consequences for local retention and population connectivity. We also found that larvae of some species are competent to settle beyond 70 days old and display complex temporal settlement behaviour, challenging the assumption that competency gradually wanes over time and adding to the evidence that larval longevity can support genetic connectivity and long-distance dispersal. Using these data, we grouped coral taxa by short, mid and long precompetency periods, and identified their preferred settlement cues. Taken together, these results inform our understanding of larval dynamics across a broad range of coral species and can be applied to investigations of population dynamics, connectivity, and reef recovery.
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Affiliation(s)
- Carly J Randall
- Australian Institute of Marine Science, Townsville, QLD, Australia.
- AIMS@JCU, Townsville, QLD, Australia.
| | | | | | - Taylor N Whitman
- Australian Institute of Marine Science, Townsville, QLD, Australia
- AIMS@JCU, Townsville, QLD, Australia
| | - Cathie A Page
- Australian Institute of Marine Science, Townsville, QLD, Australia
| | - Eric A Treml
- Australian Institute of Marine Science, Perth, WA, Australia
| | - Murray Logan
- Australian Institute of Marine Science, Townsville, QLD, Australia
| | - Andrew P Negri
- Australian Institute of Marine Science, Townsville, QLD, Australia
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8
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Ip YCA, Chang JJM, Tun KPP, Meier R, Huang D. Multispecies environmental DNA metabarcoding sheds light on annual coral spawning events. Mol Ecol 2023; 32:6474-6488. [PMID: 35852023 DOI: 10.1111/mec.16621] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 06/27/2022] [Accepted: 07/14/2022] [Indexed: 11/28/2022]
Abstract
Synchronous multispecific coral spawning generally occurs annually and forms an integral part of the coral life cycle. Apart from spawning times and species participation, however, much else remains unknown. Here, we applied environmental DNA (eDNA) metabarcoding to study two tropical reef sites of contrasting coral cover before, during and after coral spawning. Using coral-ITS2 and vertebrate-12S markers, we evaluated eDNA as an alternative monitoring tool by assessing its capabilities in detecting spawning species and tracking relative abundances of coral and fish eDNA. Over 3 years, elevated eDNA coral signals during the event (proportional read increase of up to five-fold) were observed, detecting a total of 38 coral and 133 fish species with all but one of the coral species visually observed to be spawning. This is also the first demonstration that eDNA metabarcoding can be used to infer the diurnal partitioning of night- and day-time spawning, spawning in coral species overlooked by visual surveys, and the associated changes in fish trophic structures as an indicator of spawning events. Our study paves the way for applied quantitative eDNA metabarcoding approaches to better study ephemeral and important biological events.
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Affiliation(s)
- Yin Cheong Aden Ip
- Department of Biological Sciences, National University of Singapore, Singapore
| | - Jia Jin Marc Chang
- Department of Biological Sciences, National University of Singapore, Singapore
| | | | - Rudolf Meier
- Department of Biological Sciences, National University of Singapore, Singapore
- Tropical Marine Science Institute, National University of Singapore, Singapore
| | - Danwei Huang
- Department of Biological Sciences, National University of Singapore, Singapore
- Tropical Marine Science Institute, National University of Singapore, Singapore
- Centre for Nature-based Climate Solutions, National University of Singapore, Singapore
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore
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9
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Monfared MA, Sheridan K, Dixon SP, Gledhill M, Le Berre T. Coral spawning patterns of Acropora across two Maldivian reef ecosystems. PeerJ 2023; 11:e16315. [PMID: 37927798 PMCID: PMC10621594 DOI: 10.7717/peerj.16315] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 09/28/2023] [Indexed: 11/07/2023] Open
Abstract
Understanding patterns in coral reproductive biology at local and regional scales is crucial to elucidate our knowledge of characteristics that regulate populations and communities. The lack of published data on coral spawning patterns in the Maldives hinders our understanding of coral reproductive biology and limits our ability to assess shifts in reproductive phenology over time. Here we document baseline environmental cues, spawning patterns, exact timings and oocyte development of restored and wild Acropora, inhabiting shallow water reefs, across two Maldivian atolls. A total of 1,200 colonies were recorded spawning across the two sites between October 2021 and April 2023. These colonies represent 22 species of Acropora, with coral spawning observed over an extended period of eight months. This research details exact spawning times of multi-specific spawning, asynchronous spawning and 'split spawning' of Acropora, across multiple lunar phases; and highlights the need to consider restored colonies when discussing the sexual reproductive patterns of Maldivian Acropora in the future. Overall, corals spawned earlier in North Male Atoll compared with Baa Atoll. Earlier spawning events were significantly correlated with lower tide depths, wind speeds, daily precipitation and higher sea surface temperatures which helped explain inter-atoll, inter-annual, and intra-annual variations in spawning day. This study contributes to understanding sexual reproductive cycles of Acropora in the Maldives; knowledge that is vital for effective management of a critically endangered ecosystem in a changing climate.
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10
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Tavakoli-Kolour P, Sinniger F, Morita M, Harii S. Acclimation potential of Acropora to mesophotic environment. MARINE POLLUTION BULLETIN 2023; 188:114698. [PMID: 36860026 DOI: 10.1016/j.marpolbul.2023.114698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Revised: 01/25/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
Mesophotic coral ecosystems may serve as a refuge for reef-building corals to survive the ongoing climate change. Distribution of coral species changes during larval dispersal. However, the acclimation potential in the early life stages of corals at different depths is unknown. This study investigated the acclimation potential of four shallow Acropora species at different depths via the transplantation of larvae and early polyps settled on tiles to 5, 10, 20, and 40 m depths. We then examined physiological parameters, such as size, survival, growth rate, and morphological characteristics. The survival and size of juveniles of A. tenuis and A. valida at 40 m depth were significantly higher than those at other depths. In contrast, A. digitifera and A. hyacinthus showed higher survival rates at shallow depths. The morphology (i.e., size of the corallites) also varied among the depths. Collectively, the shallow coral larvae and juveniles displayed substantial plasticity at depth.
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Affiliation(s)
| | - Frederic Sinniger
- Sesoko Station, Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | - Masaya Morita
- Sesoko Station, Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan
| | - Saki Harii
- Sesoko Station, Tropical Biosphere Research Center, University of the Ryukyus, Okinawa, Japan.
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11
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The El Niño Southern Oscillation drives multidirectional inter-reef larval connectivity in the Great Barrier Reef. Sci Rep 2022; 12:21290. [PMID: 36494507 PMCID: PMC9734173 DOI: 10.1038/s41598-022-25629-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
The El Niño Southern Oscillation (ENSO) is the strongest source of interannual global climate variability, and extreme ENSO events are projected to increase in frequency under climate change. Interannual variability in the Coral Sea circulation has been associated with ENSO, although uncertainty remains regarding ENSO's influence on hydrodynamics and larval dispersal in the adjacent Great Barrier Reef (GBR). We investigated larval connectivity during ENSO events from 2010 to 2017 throughout the GBR, based on biophysical modelling of a widespread predatory reef fish, Lutjanus carponotatus. Our results indicate a well-connected system over the study period with high interannual variability in inter-reef connectivity associated with ENSO. Larval connectivity patterns were highly correlated to variations in the Southern Oscillation Index (SOI). During El Niño conditions and periods of weak SOI, larval dispersal patterns were predominantly poleward in the central and southern regions, reversing to a predominant equatorward flow during very strong SOI and extreme La Niña conditions. These ENSO-linked connectivity patterns were associated with positive connectivity anomalies among reefs. Our findings identify ENSO as an important source of variation in larval dispersal and connectivity patterns in the GBR, which can influence the stability of population dynamics and patterns of biodiversity in the region.
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12
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Doropoulos C, Gómez-Lemos LA, Salee K, McLaughlin MJ, Tebben J, Van Koningsveld M, Feng M, Babcock RC. Limitations to coral recovery along an environmental stress gradient. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2558. [PMID: 35112758 DOI: 10.1002/eap.2558] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Revised: 11/09/2021] [Accepted: 11/16/2021] [Indexed: 06/14/2023]
Abstract
Positive feedbacks driving habitat-forming species recovery and population growth are often lost as ecosystems degrade. For such systems, identifying mechanisms that limit the re-establishment of critical positive feedbacks is key to facilitating recovery. Theory predicts the primary drivers limiting system recovery shift from biological to physical as abiotic stress increases, but recent work has demonstrated that this seldom happens. We combined field and laboratory experiments to identify variation in limitations to coral recovery along an environmental stress gradient at Ningaloo Reef and Exmouth Gulf in northwest Australia. Many reefs in the region are coral depauperate due to recent cyclones and thermal stress. In general, recovery trajectories are prolonged due to limited coral recruitment. Consistent with theory, clearer water reefs under low thermal stress appear limited by biological interactions: competition with turf algae caused high mortality of newly settled corals and upright macroalgal stands drove mortality in transplanted juvenile corals. Laboratory experiments showed a positive relationship between crustose coralline algae cover and coral settlement, but only in the absence of sedimentation. Contrary to expectation, coral recovery does not appear limited by the survival or growth of recruits on turbid reefs under higher thermal stress, but to exceptionally low larval supply. Laboratory experiments showed that larval survival and settlement are unaffected by seawater quality across the study region. Rather, connectivity models predicted that many of the more turbid reefs in the Gulf are predominantly self seeded, receiving limited supply under degraded reef states. Overall, we find that the influence of oceanography can overwhelm the influences of physical and biological interactions on recovery potential at locations where environmental stressors are high, whereas populations in relatively benign physical conditions are predominantly structured by local ecological drivers. Such context-dependent information can help guide expectations and assist managers in optimizing strategies for spatial conservation planning for system recovery.
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Affiliation(s)
| | - Luis A Gómez-Lemos
- Universidad Nacional de Colombia - Sede de La Paz - Escuela de Pregrados, La Paz, Colombia
| | - Kinam Salee
- CSIRO Oceans and Atmosphere, St Lucia, Queensland, Australia
| | | | - Jan Tebben
- Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany
| | - Mark Van Koningsveld
- Van Oord Dredging and Marine Contractors B.V., Rotterdam, The Netherlands
- Ports and Waterways, Delft University of Technology, Delft, The Netherlands
| | - Ming Feng
- CSIRO Oceans and Atmosphere, St Lucia, Queensland, Australia
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13
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Bozec Y, Hock K, Mason RAB, Baird ME, Castro‐Sanguino C, Condie SA, Puotinen M, Thompson A, Mumby PJ. Cumulative impacts across Australia’s Great Barrier Reef: a mechanistic evaluation. ECOL MONOGR 2021. [DOI: 10.1002/ecm.1494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Affiliation(s)
- Yves‐Marie Bozec
- Marine Spatial Ecology Lab School of Biological Sciences & ARC Centre of Excellence for Coral Reef Studies University of Queensland St Lucia Queensland 4072 Australia
| | - Karlo Hock
- Marine Spatial Ecology Lab School of Biological Sciences & ARC Centre of Excellence for Coral Reef Studies University of Queensland St Lucia Queensland 4072 Australia
| | - Robert A. B. Mason
- Marine Spatial Ecology Lab School of Biological Sciences & ARC Centre of Excellence for Coral Reef Studies University of Queensland St Lucia Queensland 4072 Australia
| | - Mark E. Baird
- CSIRO Oceans and Atmosphere Hobart Tasmania 7001 Australia
| | - Carolina Castro‐Sanguino
- Marine Spatial Ecology Lab School of Biological Sciences & ARC Centre of Excellence for Coral Reef Studies University of Queensland St Lucia Queensland 4072 Australia
| | | | - Marji Puotinen
- Australian Institute of Marine Science & Indian Ocean Marine Research Centre Crawley Western Australia 6009 Australia
| | - Angus Thompson
- Australian Institute of Marine Science Townsville Queensland 4810 Australia
| | - Peter J. Mumby
- Marine Spatial Ecology Lab School of Biological Sciences & ARC Centre of Excellence for Coral Reef Studies University of Queensland St Lucia Queensland 4072 Australia
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14
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Cheung MWM, Hock K, Skirving W, Mumby PJ. Cumulative bleaching undermines systemic resilience of the Great Barrier Reef. Curr Biol 2021; 31:5385-5392.e4. [PMID: 34739820 DOI: 10.1016/j.cub.2021.09.078] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2021] [Revised: 08/23/2021] [Accepted: 09/28/2021] [Indexed: 10/19/2022]
Abstract
Climate change and ENSO have triggered five mass coral bleaching events on Australia's Great Barrier Reef (GBR), three of which occurred in the last 5 years.1-5 Here, we explore the cumulative nature of recent impacts and how they fragment the reef's connectivity. The coverage and intensity of thermal stress have increased steadily over time. Cumulative bleaching in 2016, 2017, and 2020 is predicted to have reduced systemic larval supply by 26%, 50%, and 71%, respectively. Larval disruption is patchy and can guide interventions. The majority of severely bleached reefs (75%) are predicted to have experienced an 80%-100% loss of larval supply. Yet restoration would not be cost-effective in the 2% of such reefs (∼30) that still experience high larval supply. Managing such climate change impacts will benefit from emerging theory on the facilitation of genetic adaptation,6,7 which requires the existence of regions with predictably high or low thermal stress. We find that a third of reefs constitute warm spots that have consistently experienced bleaching stress. Moreover, 13% of the GBR are potential refugia that avoid significant warming more than expected by chance, with a modest proportion (14%) within highly protected areas. Coral connectivity is likely to become increasingly disrupted given the predicted escalation of climate-driven disturbances,8 but the existence of thermal refugia, potentially capable of delivering larvae to 58% of the GBR, may provide pockets of systemic resilience in the near-term. Theories of conservation planning for climate change will need to consider a shifting portfolio of thermal environments over time.
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Affiliation(s)
- Mandy W M Cheung
- Marine Spatial Ecology Lab, School of Biological Sciences, The University of Queensland, St Lucia, QLD 4072, Australia; Australian Research Council Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, QLD 4072, Australia.
| | - Karlo Hock
- Marine Spatial Ecology Lab, School of Biological Sciences, The University of Queensland, St Lucia, QLD 4072, Australia; Australian Research Council Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, QLD 4072, Australia
| | - William Skirving
- Coral Reef Watch, U.S. National Oceanic and Atmospheric Administration, College Park, MD 20740, USA; ReefSense Pty Ltd, Cranbrook, QLD 4814, Australia
| | - Peter J Mumby
- Marine Spatial Ecology Lab, School of Biological Sciences, The University of Queensland, St Lucia, QLD 4072, Australia; Australian Research Council Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, QLD 4072, Australia.
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15
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Gouezo M, Fabricius K, Harrison P, Golbuu Y, Doropoulos C. Optimizing coral reef recovery with context-specific management actions at prioritized reefs. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 295:113209. [PMID: 34346392 DOI: 10.1016/j.jenvman.2021.113209] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 06/06/2021] [Accepted: 06/30/2021] [Indexed: 06/13/2023]
Abstract
Assisting the natural recovery of coral reefs through local management actions is needed in response to increasing ecosystem disturbances in the Anthropocene. There is growing evidence that commonly used resilience-based passive management approaches may not be sufficient to maintain coral reef key functions. We synthesize and discuss advances in coral reef recovery research, and its application to coral reef conservation and restoration practices. We then present a framework to guide the decision-making of reef managers, scientists and other stakeholders, to best support reef recovery after a disturbance. The overall aim of this management framework is to catalyse reef recovery, to minimize recovery times, and to limit the need for ongoing management interventions into the future. Our framework includes two main stages: first, a prioritization method for assessment following a large-scale disturbance, which is based on a reef's social-ecological values, and on a classification of the likelihood of recovery or succession resulting in degraded, novel, hybrid or historical states. Second, a flow chart to assist with determining management actions for highly valued reefs. Potential actions are chosen based on the ecological attributes of the disturbed reef, defined during ecological assessments. Depending on the context, management actions may include (1) substrata rehabilitation actions to facilitate natural coral recruitment, (2) repopulating actions using active restoration techniques, (3) resilience-based management actions and (4) monitoring coral recruitment and growth to assess the effectiveness of management interventions. We illustrate the proposed decision framework with a case study of typhoon-damaged eastern outer reefs in Palau, Micronesia. The decisions made following this framework lead to the conclusion that some reefs may not return to their historical state for many decades. However, if motivation and funds are available, new management approaches can be explored to assist coral reefs at valued locations to return to a functional state providing key ecosystem services.
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Affiliation(s)
- Marine Gouezo
- Palau International Coral Reef Center, PO Box 7086, Koror, Palau; Marine Ecology Research Centre, Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia.
| | - Katharina Fabricius
- Australian Institute of Marine Science, PMB 3, Townsville, QLD 4810, Australia.
| | - Peter Harrison
- Marine Ecology Research Centre, Southern Cross University, PO Box 157, Lismore, NSW 2480, Australia.
| | - Yimnang Golbuu
- Palau International Coral Reef Center, PO Box 7086, Koror, Palau.
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16
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Edmunds PJ, Didden C, Frank K. Over three decades, a classic winner starts to lose in a Caribbean coral community. Ecosphere 2021. [DOI: 10.1002/ecs2.3517] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Affiliation(s)
- Peter J. Edmunds
- Department of Biology California State University 18111 Nordhoff Street Northridge California91330USA
| | - Craig Didden
- Viewpoint School 23620 Mulholland Highway Calabasas California91302USA
| | - Karl Frank
- Campbell Hall School 4533 Laurel Canyon Boulevard Studio City California91607USA
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17
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Condie SA, Anthony KRN, Babcock RC, Baird ME, Beeden R, Fletcher CS, Gorton R, Harrison D, Hobday AJ, Plagányi ÉE, Westcott DA. Large-scale interventions may delay decline of the Great Barrier Reef. ROYAL SOCIETY OPEN SCIENCE 2021; 8:201296. [PMID: 34007456 PMCID: PMC8080001 DOI: 10.1098/rsos.201296] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 03/31/2021] [Indexed: 05/31/2023]
Abstract
On the iconic Great Barrier Reef (GBR), the cumulative impacts of tropical cyclones, marine heatwaves and regular outbreaks of coral-eating crown-of-thorns starfish (CoTS) have severely depleted coral cover. Climate change will further exacerbate this situation over the coming decades unless effective interventions are implemented. Evaluating the efficacy of alternative interventions in a complex system experiencing major cumulative impacts can only be achieved through a systems modelling approach. We have evaluated combinations of interventions using a coral reef meta-community model. The model consisted of a dynamic network of 3753 reefs supporting communities of corals and CoTS connected through ocean larval dispersal, and exposed to changing regimes of tropical cyclones, flood plumes, marine heatwaves and ocean acidification. Interventions included reducing flood plume impacts, expanding control of CoTS populations, stabilizing coral rubble, managing solar radiation and introducing heat-tolerant coral strains. Without intervention, all climate scenarios resulted in precipitous declines in GBR coral cover over the next 50 years. The most effective strategies in delaying decline were combinations that protected coral from both predation (CoTS control) and thermal stress (solar radiation management) deployed at large scale. Successful implementation could expand opportunities for climate action, natural adaptation and socioeconomic adjustment by at least one to two decades.
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Affiliation(s)
- Scott A. Condie
- CSIRO Oceans and Atmosphere, Hobart, Tasmania, Australia
- Centre for Marine Socioecology, University of Tasmania, Hobart, Tasmania, Australia
| | - Kenneth R. N. Anthony
- Australian Institute of Marine Science, Townsville, Queensland, Australia
- School of Biological Sciences, The University of Queensland, Brisbane, Queensland, Australia
| | - Russ C. Babcock
- CSIRO Oceans and Atmosphere, Brisbane, Queensland, Australia
| | - Mark E. Baird
- CSIRO Oceans and Atmosphere, Hobart, Tasmania, Australia
| | - Roger Beeden
- Great Barrier Reef Marine Park Authority, Townsville, Queensland, Australia
| | | | - Rebecca Gorton
- CSIRO Oceans and Atmosphere, Hobart, Tasmania, Australia
| | - Daniel Harrison
- National Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, Australia
- Marine Studies Centre, School of Geosciences, University of Sydney, Camperdown, New South Wales, Australia
| | - Alistair J. Hobday
- CSIRO Oceans and Atmosphere, Hobart, Tasmania, Australia
- Centre for Marine Socioecology, University of Tasmania, Hobart, Tasmania, Australia
| | - Éva E. Plagányi
- Centre for Marine Socioecology, University of Tasmania, Hobart, Tasmania, Australia
- CSIRO Oceans and Atmosphere, Brisbane, Queensland, Australia
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18
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Baird AH, Guest JR, Edwards AJ, Bauman AG, Bouwmeester J, Mera H, Abrego D, Alvarez-Noriega M, Babcock RC, Barbosa MB, Bonito V, Burt J, Cabaitan PC, Chang CF, Chavanich S, Chen CA, Chen CJ, Chen WJ, Chung FC, Connolly SR, Cumbo VR, Dornelas M, Doropoulos C, Eyal G, Eyal-Shaham L, Fadli N, Figueiredo J, Flot JF, Gan SH, Gomez E, Graham EM, Grinblat M, Gutiérrez-Isaza N, Harii S, Harrison PL, Hatta M, Ho NAJ, Hoarau G, Hoogenboom M, Howells EJ, Iguchi A, Isomura N, Jamodiong EA, Jandang S, Keyse J, Kitanobo S, Kongjandtre N, Kuo CY, Ligson C, Lin CH, Low J, Loya Y, Maboloc EA, Madin JS, Mezaki T, Min C, Morita M, Moya A, Neo SH, Nitschke MR, Nojima S, Nozawa Y, Piromvaragorn S, Plathong S, Puill-Stephan E, Quigley K, Ramirez-Portilla C, Ricardo G, Sakai K, Sampayo E, Shlesinger T, Sikim L, Simpson C, Sims CA, Sinniger F, Spiji DA, Tabalanza T, Tan CH, Terraneo TI, Torda G, True J, Tun K, Vicentuan K, Viyakarn V, Waheed Z, Ward S, Willis B, Woods RM, Woolsey ES, Yamamoto HH, Yusuf S. An Indo-Pacific coral spawning database. Sci Data 2021; 8:35. [PMID: 33514754 PMCID: PMC7846567 DOI: 10.1038/s41597-020-00793-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Accepted: 11/19/2020] [Indexed: 01/30/2023] Open
Abstract
The discovery of multi-species synchronous spawning of scleractinian corals on the Great Barrier Reef in the 1980s stimulated an extraordinary effort to document spawning times in other parts of the globe. Unfortunately, most of these data remain unpublished which limits our understanding of regional and global reproductive patterns. The Coral Spawning Database (CSD) collates much of these disparate data into a single place. The CSD includes 6178 observations (3085 of which were unpublished) of the time or day of spawning for over 300 scleractinian species in 61 genera from 101 sites in the Indo-Pacific. The goal of the CSD is to provide open access to coral spawning data to accelerate our understanding of coral reproductive biology and to provide a baseline against which to evaluate any future changes in reproductive phenology.
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Affiliation(s)
- Andrew H. Baird
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - James R. Guest
- grid.1006.70000 0001 0462 7212School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU United Kingdom
| | - Alasdair J. Edwards
- grid.1006.70000 0001 0462 7212School of Natural and Environmental Sciences, Newcastle University, Newcastle upon Tyne, NE1 7RU United Kingdom
| | - Andrew G. Bauman
- grid.4280.e0000 0001 2180 6431Experimental Marine Ecology Laboratory, Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, 117558 Singapore, Singapore
| | - Jessica Bouwmeester
- grid.410445.00000 0001 2188 0957Smithsonian Conservation Biology Institute, Smithsonian Institution, Hawai’i Institute of Marine Biology, 46-007 Lilipuna Rd, Kaneohe, Hawaii 96744 USA
| | - Hanaka Mera
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - David Abrego
- grid.1031.30000000121532610National Marine Science Centre, Southern Cross University, 2 Bay Drive, Coffs Harbour, New South Wales 2450 Australia
| | - Mariana Alvarez-Noriega
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Russel C. Babcock
- grid.1016.60000 0001 2173 2719Oceans and Atmosphere, CSIRO, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, Queensland 4072 Australia
| | - Miguel B. Barbosa
- grid.11914.3c0000 0001 0721 1626School of Biology, University of St Andrews, Sir Harold Mitchell Building, St Andrews, KY16 9TH United Kingdom
| | - Victor Bonito
- Reef Explorer Fiji, Coral Coast Conservation Center, Votua Village, Korolevu, Nadroga Fiji
| | - John Burt
- grid.440573.1Center for Genomics and Systems Biology, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, UAE
| | - Patrick C. Cabaitan
- grid.11159.3d0000 0000 9650 2179Marine Science Institute, College of Science, University of the Philippines, Velasquez Street, Diliman, Quezon City, Manila, 1101 Philippines
| | - Ching-Fong Chang
- grid.260664.00000 0001 0313 3026Aquaculture, National Taiwan Ocean University, 2 Beining Rd, Keelung, 20224 Taiwan
| | - Suchana Chavanich
- grid.7922.e0000 0001 0244 7875Reef Biology Research Group, Department of Marine Science, Faculty of Science, Chulalongkorn University, Phayathai Road, Bangkok, 10330 Thailand
| | - Chaolun A. Chen
- grid.506939.0Biodiversity Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 11529 Taiwan
| | - Chieh-Jhen Chen
- grid.260664.00000 0001 0313 3026Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Rd, Keelung, 20224 Taiwan
| | - Wei-Jen Chen
- grid.260664.00000 0001 0313 3026Center of Excellence for the Oceans, National Taiwan Ocean University, 2 Beining Rd, Keelung, 20224 Taiwan
| | - Fung-Chen Chung
- Reef Guardian Sdn. Bhd., Bandar Tyng, Mile 6, North Road, Sandakan, Sabah 90000 Malaysia
| | - Sean R. Connolly
- grid.438006.90000 0001 2296 9689Smithsonian Tropical Research Institute, Apartado 0843-03092, Balboa, Republic of Panama
| | - Vivian R. Cumbo
- grid.1004.50000 0001 2158 5405Department of Biological Sciences, Macquarie University, Macquarie Park, New South Wales 2109 Australia
| | - Maria Dornelas
- grid.11914.3c0000 0001 0721 1626Centre for Biological Diversity, University of St Andrews, St Andrews, KY16 9TH United Kingdom
| | - Christopher Doropoulos
- grid.1016.60000 0001 2173 2719Oceans and Atmosphere, CSIRO, Queensland Biosciences Precinct, 306 Carmody Rd, St Lucia, Queensland 4072 Australia
| | - Gal Eyal
- grid.1003.20000 0000 9320 7537ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland 4072 Australia
| | - Lee Eyal-Shaham
- grid.22098.310000 0004 1937 0503The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, 5290002 Israel
| | - Nur Fadli
- grid.440768.90000 0004 1759 6066Faculty of Marine Science and Fisheries, Syiah Kuala University, Banda Aceh, Aceh Indonesia
| | - Joana Figueiredo
- grid.261241.20000 0001 2168 8324Halmos College of Natural Sciences and Oceanography, Department of Marine and Environmental Science, Nova Southeastern University, 8000 N Ocean Drive, Dania Beach, Florida 33004 USA
| | - Jean-François Flot
- grid.4989.c0000 0001 2348 0746Evolutionary Biology and Ecology, Université libre de Bruxelles, Brussels, B-1050 Belgium
| | - Sze-Hoon Gan
- grid.265727.30000 0001 0417 0814Endangered Marine Species Research Unit, Borneo Marine Research Institute, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah 88400 Malaysia
| | - Elizabeth Gomez
- grid.11159.3d0000 0000 9650 2179Marine Science Institute, College of Science, University of the Philippines, Velasquez Street, Diliman, Quezon City, Manila, 1101 Philippines
| | - Erin M. Graham
- grid.1011.10000 0004 0474 1797eResearch Centre, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Mila Grinblat
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia ,grid.1011.10000 0004 0474 1797Molecular & Cell biology, College of Public Health, Medical & Vet Sciences, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Nataly Gutiérrez-Isaza
- grid.1003.20000 0000 9320 7537ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland 4072 Australia ,grid.1003.20000 0000 9320 7537School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072 Australia
| | - Saki Harii
- grid.267625.20000 0001 0685 5104Tropical Biosphere Research Center, University of the Ryukyus, 3422 Sesoko, Motobu, Okinawa, 905-0227 Japan
| | - Peter L. Harrison
- grid.1031.30000000121532610Marine Ecology Research Centre, Southern Cross University, PO Box 157, Lismore, NSW 2480 Australia
| | - Masayuki Hatta
- grid.412314.10000 0001 2192 178XDepartment of Biology, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, Tokyo, 112-8610 Japan
| | - Nina Ann Jin Ho
- grid.503008.eChina-ASEAN College of Marine Sciences, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, Sepang Selangor, Darul Ehsan, 43900 Malaysia
| | - Gaetan Hoarau
- 12 Rue Caumont, Saint-Pierre Reunion Island, 97410 France
| | - Mia Hoogenboom
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Emily J. Howells
- grid.1007.60000 0004 0486 528XCentre for Sustainable Ecosystem Solutions and School of Earth, Atmospheric and Life Sciences, University of Wollongong, Northfields Avenue, Wollongong, New South Wales 2522 Australia
| | - Akira Iguchi
- grid.466781.a0000 0001 2222 3430Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology, Tsukuba, Ibaraki 305-8567 Japan
| | - Naoko Isomura
- grid.471922.b0000 0004 4672 6261Department of Bioresources Engineering, National Institute of Technology, Okinawa College, 905 Henoko, Nago, Okinawa, 905-2192 Japan
| | - Emmeline A. Jamodiong
- grid.267625.20000 0001 0685 5104Graduate School of Engineering and Science, University of the Ryukyus, Nishihara, Okinawa 902-0213 Japan
| | - Suppakarn Jandang
- grid.7922.e0000 0001 0244 7875Reef Biology Research Group, Department of Marine Science, Faculty of Science, Chulalongkorn University, Phayathai Road, Bangkok, 10330 Thailand
| | - Jude Keyse
- Glenala State High School, Durack, Queensland 4077 Australia
| | - Seiya Kitanobo
- grid.267625.20000 0001 0685 5104Tropical Biosphere Research Center, University of the Ryukyus, 3422 Sesoko, Motobu, Okinawa, 905-0227 Japan
| | - Narinratana Kongjandtre
- grid.411825.b0000 0000 9482 780XAquatic Science, Faculty of Science, Burapha University, 169 LongHaad Bangsaen Rd, Saensook, Mueang Chonburi 20131 Thailand
| | - Chao-Yang Kuo
- grid.506939.0Biodiversity Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 11529 Taiwan
| | - Charlon Ligson
- grid.11159.3d0000 0000 9650 2179Marine Science Institute, College of Science, University of the Philippines, Velasquez Street, Diliman, Quezon City, Manila, 1101 Philippines
| | - Che-Hung Lin
- grid.506939.0Biodiversity Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 11529 Taiwan
| | - Jeffrey Low
- Coastal and Marine Branch, National Biodiversity Centre, National Parks Board, 1 Cluny Road, Singapore, Singapore
| | - Yossi Loya
- grid.12136.370000 0004 1937 0546School of Zoology, Tel-Aviv University, Ramat Aviv, 6997801 Israel
| | - Elizaldy A. Maboloc
- grid.24515.370000 0004 1937 1450Department of Ocean Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
| | - Joshua S. Madin
- grid.410445.00000 0001 2188 0957Hawai’i Institute of Marine Biology, University of Hawaii at Manoa, 46-007 Lilipuna Rd, Kaneohe, Hawaii 96744 USA
| | - Takuma Mezaki
- Kuroshio Biological Research Foundation, 560 Nishidomari, Otsuki Town, Hata Kochi, 788-0333 Japan
| | - Choo Min
- grid.4280.e0000 0001 2180 6431Reef Ecology Lab, Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, 117558 Singapore, Singapore
| | - Masaya Morita
- grid.267625.20000 0001 0685 5104Tropical Biosphere Research Center, University of the Ryukyus, 3422 Sesoko, Motobu, Okinawa, 905-0227 Japan
| | - Aurelie Moya
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Su-Hwei Neo
- grid.4280.e0000 0001 2180 6431Department of Biological Sciences, National University of Singapore, 16 Science Drive 4, 117558 Singapore, Singapore
| | - Matthew R. Nitschke
- grid.267827.e0000 0001 2292 3111School of Biological Sciences, Victoria University of Wellington, Wellington, 2820 New Zealand
| | | | - Yoko Nozawa
- grid.506939.0Biodiversity Research Center, Academia Sinica, 128 Academia Road, Section 2, Nankang, Taipei 11529 Taiwan
| | | | - Sakanan Plathong
- grid.7130.50000 0004 0470 1162Department of Biology, Faculty of Science, Prince of Songkla University, 15 Karnjanavanich Rd, Hat Yai, 90110 Thailand
| | | | - Kate Quigley
- grid.1046.30000 0001 0328 1619Australian Institute of Marine Science, PMB 3, Townsville, Queensland 4810 Australia
| | - Catalina Ramirez-Portilla
- grid.4989.c0000 0001 2348 0746Evolutionary Biology and Ecology, Université libre de Bruxelles, Brussels, B-1050 Belgium
| | - Gerard Ricardo
- grid.1046.30000 0001 0328 1619Australian Institute of Marine Science, PMB 3, Townsville, Queensland 4810 Australia
| | - Kazuhiko Sakai
- grid.267625.20000 0001 0685 5104Tropical Biosphere Research Center, University of the Ryukyus, 3422 Sesoko, Motobu, Okinawa, 905-0227 Japan
| | - Eugenia Sampayo
- grid.1003.20000 0000 9320 7537ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland 4072 Australia ,grid.1003.20000 0000 9320 7537School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072 Australia
| | - Tom Shlesinger
- grid.255966.b0000 0001 2229 7296Institute for Global Ecology, Florida Institute of Technology, 150 West University Boulevard, Melbourne, Florida 32901-6988 USA
| | - Leony Sikim
- Reef Guardian Sdn. Bhd., Bandar Tyng, Mile 6, North Road, Sandakan, Sabah 90000 Malaysia
| | - Chris Simpson
- 25 Mettam Street, Trigg, Western Australia 6029 Australia
| | - Carrie A. Sims
- grid.1003.20000 0000 9320 7537ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland 4072 Australia ,grid.1003.20000 0000 9320 7537School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072 Australia
| | - Frederic Sinniger
- grid.267625.20000 0001 0685 5104Tropical Biosphere Research Center, University of the Ryukyus, 3422 Sesoko, Motobu, Okinawa, 905-0227 Japan
| | - Davies A. Spiji
- Reef Guardian Sdn. Bhd., Bandar Tyng, Mile 6, North Road, Sandakan, Sabah 90000 Malaysia
| | - Tracy Tabalanza
- grid.11159.3d0000 0000 9650 2179Marine Science Institute, College of Science, University of the Philippines, Velasquez Street, Diliman, Quezon City, Manila, 1101 Philippines
| | - Chung-Hong Tan
- grid.412255.50000 0000 9284 9319Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu 21030 Malaysia
| | - Tullia I. Terraneo
- grid.45672.320000 0001 1926 5090Red Sea Research Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, 23955-6900 Saudi Arabia
| | - Gergely Torda
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - James True
- grid.419784.70000 0001 0816 7508Faculty of Agricultural Technology, King Mongkut’s Institute of Technology Ladkrabang, Chalongkrung Rd, Ladkrabang, Bangkok 10520 Thailand
| | - Karenne Tun
- Coastal and Marine Branch, National Biodiversity Centre, National Parks Board, 1 Cluny Road, Singapore, Singapore
| | - Kareen Vicentuan
- grid.4280.e0000 0001 2180 6431Tropical Marine Science Institute, National University of Singapore, 18 Kent Ridge Road, 119227 Singapore, Singapore
| | - Voranop Viyakarn
- grid.7922.e0000 0001 0244 7875Reef Biology Research Group, Department of Marine Science, Faculty of Science, Chulalongkorn University, Phayathai Road, Bangkok, 10330 Thailand
| | - Zarinah Waheed
- grid.265727.30000 0001 0417 0814Endangered Marine Species Research Unit, Borneo Marine Research Institute, Universiti Malaysia Sabah, Jalan UMS, Kota Kinabalu, Sabah 88400 Malaysia
| | - Selina Ward
- grid.1003.20000 0000 9320 7537ARC Centre of Excellence for Coral Reef Studies, The University of Queensland, St Lucia, Queensland 4072 Australia ,grid.1003.20000 0000 9320 7537School of Biological Sciences, The University of Queensland, St Lucia, Queensland 4072 Australia
| | - Bette Willis
- grid.1011.10000 0004 0474 1797ARC Centre of Excellence for Coral Reef Studies, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia ,grid.1011.10000 0004 0474 1797College of Science and Engineering, James Cook University, 1 James Cook Drive, Townsville, Queensland 4811 Australia
| | - Rachael M. Woods
- grid.1004.50000 0001 2158 5405Department of Biological Sciences, Macquarie University, Macquarie Park, New South Wales 2109 Australia
| | | | - Hiromi H. Yamamoto
- grid.505718.eOkinawa Churashima Research Center, Okinawa Churashima Foundation, 888 Ishikawa, Motobu, Okinawa, 905-0206 Japan
| | - Syafyudin Yusuf
- grid.412001.60000 0000 8544 230XFaculty of Marine Science and Fisheries, Hasanuddin University, Makassar, Indonesia
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19
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How Does the Sexual Reproduction of Marine Life Respond to Ocean Acidification? DIVERSITY 2020. [DOI: 10.3390/d12060241] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Recent research indicates that synchronicity of sexual reproduction in coral spawning events is breaking down, leading to aging populations and decreased recruitment success. In this perspective, we develop a hypothesis that this phenomenon could be caused by ongoing ocean acidification (OA). We hypothesize, that the underlying physiological machinery could be the carbon concentrating mechanism (CCM). The endosymbiotic zooxanthellae of corals could use this mechanism to sense calm water motion states in a comparable way to that known from macroalgae. In macroalgae, it is well-established that dissolved inorganic carbon (DIC) acts as the trigger for signaling low water motion. Hence, evolutionarily developed signals of low water motion, suited for gamete-release, may be misleading in the future, potentially favoring opportunistic species in a broad range of marine organisms.
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Riginos C, Hock K, Matias AM, Mumby PJ, Oppen MJH, Lukoschek V. Asymmetric dispersal is a critical element of concordance between biophysical dispersal models and spatial genetic structure in Great Barrier Reef corals. DIVERS DISTRIB 2019. [DOI: 10.1111/ddi.12969] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Affiliation(s)
- Cynthia Riginos
- School of Biological Sciences The University of Queensland St Lucia Queensland Australia
| | - Karlo Hock
- School of Biological Sciences The University of Queensland St Lucia Queensland Australia
| | - Ambrocio M. Matias
- School of Biological Sciences The University of Queensland St Lucia Queensland Australia
- Institute of Biology University of the Philippines Diliman Quezon City Philippines
| | - Peter J. Mumby
- School of Biological Sciences The University of Queensland St Lucia Queensland Australia
| | - Madeleine J. H. Oppen
- Institute of Biology University of the Philippines Diliman Quezon City Philippines
- School of BioSciences The University of Melbourne Parkville Victoria Australia
- Australian Institute for Marine Sciences Cape Cleveland Queensland Australia
| | - Vimoksalehi Lukoschek
- ARC Centre of Excellence for Coral Reef Studies James Cook University Townsville Queensland Australia
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