Spatial and temporal variation in coral recruitment on the Great Barrier Reef: Implications for dispersal hypotheses

1990 ◽  
Vol 107 (3) ◽  
pp. 485-490 ◽  
Author(s):  
D. A. Fisk ◽  
V. J. Harriott
Keyword(s):  
Great Barrier Reef ◽  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Barrier Reef ◽  
Coral Recruitment

Spatial and temporal variation in fecundity among populations of Acropora millepora on the Great Barrier Reef

2016 ◽  
Vol 561 ◽  
pp. 147-153 ◽  
Author(s):  
CH Tan ◽  
MS Pratchett ◽  
LK Bay ◽  
EM Graham ◽  
AH Baird
Keyword(s):  
Great Barrier Reef ◽  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Barrier Reef ◽  
Acropora Millepora

scholarly journals Spatial and Temporal Variation of Scleractinian Coral Recruitment in Balok Coastal Waters and Bidong Island, Malaysia

2021 ◽  
Vol 6 (1) ◽  
pp. 1-14
Author(s):  
Fikri Akmal Khodzori ◽  
Shahbudin Saad ◽  
Husaini Rani
Keyword(s):  
Coral Reef ◽  
Temporal Variation ◽  
Environmental Conditions ◽  
Coastal Waters ◽  
Scleractinian Coral ◽  
Larval Settlement ◽  
Artificial Reef ◽  
Spatial And Temporal Variation ◽  
Coral Recruitment ◽  
Recruitment Patterns

Understanding coral recruitment is important as increasing of regional decline of coral reef worldwide. This study aimed to investigate the spatial and temporal coral recruitment patterns around reef sites in Balok coastal waters and Bidong Island, Malaysia. Recruitment density was determined by quantifying number of coral recruits settled on the terra-cotta tiles and artificial reef settlement plates. In Balok coastal waters, a total of 159 coral recruits were counted with 0.09 ± 0.03 n/m2 mean recruitment density per plate, while in Bidong Island, a total of 319 coral recruits were counted with 0.19 ± 0.02 n/m2 mean recruitment density per plate. Coral recruits were dominated by genus Pocillopora followed by Stylopora and Seriatopora in Bidong. Meanwhile in Balok, genus Platygyra was dominant coral recruits followed by Porites and Fungia. Additionally, minor spawning event was predicted in Balok coastal waters in September due to increase number of Platygyra coral. Recruitment density varied significantly between locations, types of settlement plates and plate’s orientation at both study areas. Current findings highlighted the significant use of artificial reef plates to increase the chances of larval settlement. This research also provides important information in assessing coral resilience towards different environmental conditions between coastal and sheltered reef areas.

scholarly journals A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality: a case study in the Great Barrier Reef catchments

2021 ◽  
Author(s):  
Shuci Liu ◽  
Dongryeol Ryu ◽  
J. Anugs Webb ◽  
Anna Lintern ◽  
Danlu Guo ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Barrier Reef ◽  
Temporal Variation ◽  
Temporal Variability ◽  
Stream Water ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Barrier Reef ◽  
Key Factors ◽  
Stream Water Quality

Abstract. Stream water quality is highly variable both across space and time. Water quality monitoring programs have collected a large amount of data that provide a good basis to investigate the key drivers of spatial and temporal variability. Event-based water quality monitoring data in the Great Barrier Reef catchments in northern Australia provides an opportunity to further our understanding of water quality dynamics in sub-tropical and tropical regions. This study investigated nine water quality constituents, including sediments, nutrients and salinity, with the aim of: 1) identifying the influential environmental drivers of temporal variation in flow event concentrations; and 2) developing a modelling framework to predict the temporal variation in water quality at multiple sites simultaneously. This study used a hierarchical Bayesian model averaging framework to explore the relationship between event concentration and catchment-scale environmental variables (e.g., runoff, rainfall and groundcover conditions). Key factors affecting the temporal changes in water quality varied among constituent concentrations, as well as between catchments. Catchment rainfall and runoff affected in-stream particulate constituents, while catchment wetness and vegetation cover had more impact on dissolved nutrient concentration and salinity. In addition, in large dry catchments, antecedent catchment soil moisture and vegetation had a large influence on dissolved nutrients, which highlights the important effect of catchment hydrological connectivity on pollutant mobilisation and delivery.

scholarly journals Spatial and temporal variation of coral recruitment in Taiwan

Coral Reefs ◽  
2003 ◽  
Vol 22 (3) ◽  
pp. 224-228 ◽  
Author(s):  
Keryea Soong ◽  
Ming-hui Chen ◽  
Chao-lun Chen ◽  
Chang-feng Dai ◽  
Tung-yung Fan ◽  
...  
Keyword(s):  
Temporal Variation ◽  
Spatial And Temporal Variation ◽  
Coral Recruitment

scholarly journals Spatial and Temporal Variation in Fecundity of Acropora spp. in the Northern Great Barrier Reef

Diversity ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 60 ◽  
Author(s):  
Morgan S. Pratchett ◽  
Andrew S. Hoey ◽  
Chun-Hong Tan ◽  
Chao-Yang Kuo ◽  
Andrew G. Bauman ◽  
...  
Keyword(s):  
Population Dynamics ◽  
Great Barrier Reef ◽  
Environmental Conditions ◽  
Coral Species ◽  
Outer Shelf ◽  
Life History Strategies ◽  
Spatial And Temporal Variation ◽  
Barrier Reef ◽  
Inner Shelf ◽  
Near Shore

The amount of energy invested in sexual reproduction by scleractinian corals depends on their life history strategies (i.e., allocation of energy between growth, reproduction, and maintenance). However, energy allocated to reproduction will also be affected by the amount of energy acquired and prevailing environmental conditions. Coral fecundity is therefore likely to vary spatially, especially along marked gradients in environmental conditions. One of the foremost gradients in reef structure and environmental conditions occurs with distance from the coast, whereby inner-shelf or near shore reefs are generally subject to higher levels of nutrients, sediments and pollutants, which often adversely affect reef-building corals. This study quantified fecundity (oocytes per polyp) for three species, Acropora nasuta, A. spathulata, and A. hyacinthus, at six locations in the northern Great Barrier Reef (GBR), encompassing inner-, mid- and outer-shelf reefs. Replicate colonies were sampled at each location prior to the predicted date of spawning in 2013 and 2014. Both shelf position and year were important factors explaining variation in fecundity for each of the three coral species. Most notably, there were clear and consistent declines in the number of oocytes between 2013 and 2014, coinciding with the incidence of category 4 Cylone Ita in early 2014. Contrary to expectations, polyp-level fecundity was no lower (and in some cases substantially higher) on inner-shelf reefs, compared to conspecifics growing on mid-shelf or outer-shelf reefs. The observed patterns are much more complicated than anticipated, necessitating further research to understand differential population dynamics of corals on inner-shelf versus mid- and outer-shelf reefs.

scholarly journals A Bayesian approach to understanding the key factors influencing temporal variability in stream water quality – a case study in the Great Barrier Reef catchments

2021 ◽  
Vol 25 (5) ◽  
pp. 2663-2683
Author(s):  
Shuci Liu ◽  
Dongryeol Ryu ◽  
J. Angus Webb ◽  
Anna Lintern ◽  
Danlu Guo ◽  
...  
Keyword(s):  
Water Quality ◽  
Great Barrier Reef ◽  
Temporal Variation ◽  
Temporal Variability ◽  
Stream Water ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Barrier Reef ◽  
Key Factors ◽  
Stream Water Quality

Abstract. Stream water quality is highly variable both across space and time. Water quality monitoring programmes have collected a large amount of data that provide a good basis for investigating the key drivers of spatial and temporal variability. Event-based water quality monitoring data in the Great Barrier Reef catchments in northern Australia provide an opportunity to further our understanding of water quality dynamics in subtropical and tropical regions. This study investigated nine water quality constituents, including sediments, nutrients and salinity, with the aim of (1) identifying the influential environmental drivers of temporal variation in flow event concentrations and (2) developing a modelling framework to predict the temporal variation in water quality at multiple sites simultaneously. This study used a hierarchical Bayesian model averaging framework to explore the relationship between event concentration and catchment-scale environmental variables (e.g. runoff, rainfall and groundcover conditions). Key factors affecting the temporal changes in water quality varied among constituent concentrations and between catchments. Catchment rainfall and runoff affected in-stream particulate constituents, while catchment wetness and vegetation cover had more impact on dissolved nutrient concentration and salinity. In addition, in large dry catchments, antecedent catchment soil moisture and vegetation had a large influence on dissolved nutrients, which highlights the important effect of catchment hydrological connectivity on pollutant mobilisation and delivery.

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