ORCID Profile
0000-0003-3286-8624
Current Organisations
Geoscience Australia
,
University of Tasmania
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Publisher: Institute for Marine and Antarctic Studies
Date: 2021
DOI: 10.25607/OBP-981
Publisher: Commonwealth of Australia (Geoscience Australia)
Date: 2021
DOI: 10.26186/145959
Publisher: Copernicus GmbH
Date: 06-2017
DOI: 10.5194/BG-2017-221
Abstract: Abstract. Owing to a lack of resources, tools, and knowledge, the natural variability and distribution of Total Alkalinity (TA) has been poorly characterised in coastal waters globally, yet variability is known to be high in coastal regions due to the complex interactions of oceanographic, biotic, and terrestrially-influenced processes. This is a particularly challenging task for the vast Australian coastline, however, it is also this vastness that demands attention in the face of ocean acidification (OA). Australian coastal waters have high bio ersity and endemism, and are home to large areas of coral reef, including the Great Barrier Reef, the largest coral reef system in the world. Ocean acidification threatens calcifying marine organisms by hindering calcification rates, threatening the structural integrity of coral reefs and other ecosystems. Tracking the progression of OA in different coastal regions requires accurate knowledge of the variability in TA. Thus, estimation methods that can capture this variability at synoptic scales are needed. Multiple linear regression is a promising approach in this regard. Here, we compare a range of both simple and multiple linear regression models to the estimation of coastal TA from a range of variables, including salinity, temperature, chlorophyll-a concentration and nitrate concentration. We find that regionally parameterised models capture local variability better than more general coastal or open ocean parameterised models. The strongest contribution to model improvement came through incorporating temperature as an input variable as well as salinity. Further improvements were achieved through the incorporation of either nitrate or chlorophyll-a, with the combination of temperature, salinity, and nitrate constituting the minimum model in most cases. These results provide an approach that can be applied to satellite Earth observation and autonomous in situ platforms to improve synoptic scale estimation of TA in coastal waters.
Publisher: KAUST Research Repository
Date: 2017
DOI: 10.25781/KAUST-34U05
Publisher: American Geophysical Union (AGU)
Date: 11-2019
DOI: 10.1029/2019JC015266
Publisher: Copernicus GmbH
Date: 29-01-2020
Abstract: Abstract. We use observations of dissolved inorganic carbon (DIC) and total alkalinity (TA) to assess the impact of ecosystem metabolic processes on coastal waters of the eastern Red Sea. A simple, single-end-member mixing model is used to account for the influence of mixing with offshore waters and evaporation–precipitation and to model ecosystem-driven perturbations on the carbonate system chemistry of coral reefs, seagrass meadows and mangrove forests. We find that (1) along-shelf changes in TA and DIC exhibit strong linear relationships that are consistent with basin-scale net calcium carbonate precipitation (2) ecosystem-driven changes in TA and DIC are larger than offshore variations in % of s led seagrass meadows and mangrove forests, changes which are influenced by a combination of longer water residence times and community metabolic rates and (3) the s led mangrove forests show strong and consistent contributions from both organic respiration and other sedimentary processes (carbonate dissolution and secondary redox processes), while seagrass meadows display more variability in the relative contributions of photosynthesis and other sedimentary processes (carbonate precipitation and oxidative processes). The results of this study highlight the importance of resolving the influences of water residence times, mixing and upstream habitats on mediating the carbonate system and coastal air–sea carbon dioxide fluxes over coastal habitats in the Red Sea.
Publisher: PANGAEA - Data Publisher for Earth & Environmental Science
Date: 2019
Publisher: Frontiers Media SA
Date: 19-02-2020
Publisher: Frontiers Media SA
Date: 31-07-2020
Publisher: Copernicus GmbH
Date: 06-2017
Publisher: Frontiers Media SA
Date: 14-08-2020
Location: Australia
Location: Saudi Arabia
Start Date: 2019
End Date: 2020
Funder: Scientific Committee on Antarctic Research
View Funded ActivityStart Date: 2018
End Date: 2020
Funder: University of Tasmania
View Funded Activity