Data

ReefMod-GBR Outputs from CoTS Control Scenario Modelling

The University of Queensland
Dr Tina Skinner (Aggregated by) Professor Peter Mumby (Aggregated by) Professor Peter Mumby (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.48610/a15c7be&rft.title=ReefMod-GBR Outputs from CoTS Control Scenario Modelling&rft.identifier=RDM ID: 0a0a2e93-039f-4f49-9b36-64c90afefabd&rft.publisher=The University of Queensland&rft.description=This dataset contains outputs from the ReefMod-GBR ecological model, a spatially explicit ecosystem model of the Great Barrier Reef (GBR) that simulates coral and Crown-of-Thorns starfish (COTS) populations. The model was used to explore the effectiveness of different COTS control strategies in preserving coral cover and reducing the frequency and severity of COTS outbreaks across the GBR. The dataset includes a range of ecological outputs for both the counterfactual scenario (no control) and multiple control scenarios, allowing comparisons of their impacts on reef ecosystems. The scenarios include both a hindcast (2008 - 2023) and a forecast (up till 2040).&rft.creator=Dr Tina Skinner&rft.creator=Professor Peter Mumby&rft.creator=Professor Peter Mumby&rft.date=2025&rft.coverage=147.699192,-18.287067&rft_rights= https://guides.library.uq.edu.au/deposit-your-data/license-reuse-data-agreement&rft_subject=eng&rft_subject=Marine and estuarine ecology (incl. marine ichthyology)&rft_subject=Ecology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Computational modelling and simulation in earth sciences&rft_subject=Geoinformatics&rft_subject=EARTH SCIENCES&rft_subject=Environmental management&rft_subject=ENVIRONMENTAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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School of the Environment

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This dataset contains outputs from the ReefMod-GBR ecological model, a spatially explicit ecosystem model of the Great Barrier Reef (GBR) that simulates coral and Crown-of-Thorns starfish (COTS) populations. The model was used to explore the effectiveness of different COTS control strategies in preserving coral cover and reducing the frequency and severity of COTS outbreaks across the GBR. The dataset includes a range of ecological outputs for both the counterfactual scenario (no control) and multiple control scenarios, allowing comparisons of their impacts on reef ecosystems. The scenarios include both a hindcast (2008 - 2023) and a forecast (up till 2040).

Issued: 12 09 2025

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147.69919,-18.28707

147.699192,-18.287067

Subjects
Biological Sciences | Computational Modelling and Simulation in Earth Sciences | Earth Sciences | Environmental Sciences | Ecology | Environmental Management | Geoinformatics | Marine and Estuarine Ecology (Incl. Marine Ichthyology) | eng |

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local : UQ:289097

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