Data

Resilience model (MTSRF Project 2.5i.4)

eAtlas
Wooldridge, Scott A, Dr
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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=https://eatlas.org.au/data/uuid/ced0bef3-5ae6-47ec-a1fb-2fe83f67b023&rft.title=Resilience model (MTSRF Project 2.5i.4)&rft.identifier=https://eatlas.org.au/data/uuid/ced0bef3-5ae6-47ec-a1fb-2fe83f67b023&rft.publisher=eAtlas&rft.description=This simulation model allows various scenarios to be run which test how different percentages of nutrient reductions (and the parallel improvement in inshore reef quality) might operate in conjunction with raised water temperatures (as a result of climate change). The model has been used for the following simulations: The beneficial impact of end-of-catchment dissolved inorganic nutrients reductions (10%, 30%, 50% and 70%) in raising the bleaching resistance (i.e. the UTBT, °C) of inshore reefs between Townsville and Cooktown. The impact of 10%, 30%, 50% and 70% reductions in end-of-catchment dissolved inorganic nutrients for the Burdekin, Herbert, Tully, Johnstone, Russell, Barron, Daintree, Endeavour, Jeannie and Normanby river systems. Two scenarios for the Tully River Basin - an 18% reduction in fertiliser N application, and a 35% reduction.The Resilience model was built as a sceanrio generation tool. As such, future predictions are based on realisations that are inherently uncertain, and little confidence can be attributed the likellihood of specific (individual) scenarios. Rather, the relatively in the response characteristics between the different scenarios may be useful in identifuing those factors (manageable or otherwise) that may contribute to the future trajectories of coral reefscapes on the GBR. The deleterious future impact of Ocean Acidification is not currently considered in this model.&rft.creator=Wooldridge, Scott A, Dr &rft.date=2007&rft_rights=All AIMS data, products and services are provided as is and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current.To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights=Ownership of all Intellectual Property Rights in the data remains with the Australian Institute of Marine Science (AIMS) and all use of the data must acknowledge AIMS.&rft_rights=All users of AIMS data must acknowledge the source of the material in the following manner: Data was sourced from the Australian Institute of Marine Science (AIMS).&rft_rights=Format for citation of data sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: Australian Institute of Marine Science. [year-of-data-download], [Title], [data-access-URL], accessed (date-of-access].&rft_rights=Use of the AIMS data is for not-for-profit applications only. All other users shall seek permission for use by contacting AIMS. Acknowledgements as prescribed must be clearly set out in the user's formal communications or publications.&rft_subject=oceans&rft.type=dataset&rft.language=English Access the data
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All AIMS data, products and services are provided "as is" and AIMS does not warrant their fitness for a particular purpose or non-infringement. While AIMS has made every reasonable effort to ensure high quality of the data, products and services, to the extent permitted by law the data, products and services are provided without any warranties of any kind, either expressed or implied, including without limitation any implied warranties of title, merchantability, and fitness for a particular purpose or non-infringement. AIMS make no representation or warranty that the data, products and services are accurate, complete, reliable or current.To the extent permitted by law, AIMS exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

Ownership of all Intellectual Property Rights in the data remains with the Australian Institute of Marine Science (AIMS) and all use of the data must acknowledge AIMS.

All users of AIMS data must acknowledge the source of the material in the following manner: "Data was sourced from the Australian Institute of Marine Science (AIMS)."

Format for citation of data sourced from Australian Institute of Marine Science (AIMS) in a list of reference is as follows: "Australian Institute of Marine Science. [year-of-data-download], [Title], [data-access-URL], accessed (date-of-access]".

Use of the AIMS data is for not-for-profit applications only. All other users shall seek permission for use by contacting AIMS. Acknowledgements as prescribed must be clearly set out in the user's formal communications or publications.

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Brief description

This simulation model allows various scenarios to be run which test how different percentages of nutrient reductions (and the parallel improvement in inshore reef quality) might operate in conjunction with raised water temperatures (as a result of climate change). The model has been used for the following simulations: The beneficial impact of end-of-catchment dissolved inorganic nutrients reductions (10%, 30%, 50% and 70%) in raising the bleaching resistance (i.e. the UTBT, °C) of inshore reefs between Townsville and Cooktown. The impact of 10%, 30%, 50% and 70% reductions in end-of-catchment dissolved inorganic nutrients for the Burdekin, Herbert, Tully, Johnstone, Russell, Barron, Daintree, Endeavour, Jeannie and Normanby river systems. Two scenarios for the Tully River Basin - an 18% reduction in fertiliser N application, and a 35% reduction.

Notes

To develop a tool that enables greater characterization of risks posed to the linked GBR social-ecological system due to the effects of climate change.
Wooldridge, SA: AIMS (Principal Investigator)

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The Resilience model was built as a sceanrio generation tool. As such, future predictions are based on realisations that are inherently uncertain, and little confidence can be attributed the likellihood of specific (individual) scenarios. Rather, the relatively in the response characteristics between the different scenarios may be useful in identifuing those factors (manageable or otherwise) that may contribute to the future trajectories of coral reefscapes on the GBR. The deleterious future impact of Ocean Acidification is not currently considered in this model.

Created: 18 01 2007

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