Data

WAMSI Node 4.3.2a - Ecosystem Modelling - Qualitative modelling of the Peel-Harvey Estuary ecosystem

Australian Ocean Data Network
Metcalf, Sarah, Dr (Principal investigator) Dambacher, Jeffrey, Dr (Author) Fretzer, Sarah (Author) Hall, Norman, Professor (Author) Loneragan, Neil, Dr (Point of contact)
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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://catalogue.aodn.org.au:443/geonetwork/srv/api/records/a7097bd2-9228-43d8-b900-68d7481accc5&rft.title=WAMSI Node 4.3.2a - Ecosystem Modelling - Qualitative modelling of the Peel-Harvey Estuary ecosystem&rft.identifier=a7097bd2-9228-43d8-b900-68d7481accc5&rft.publisher=Australian Ocean Data Network&rft.description=This study produced qualitative models that assembled stakeholder perceptions of various assets and issues within the Peel Harvey estuarine system including water quality, wading birds, blue swimmer crabs and governance. The models were developed through workshops with a wide variety of stakeholders, including community groups, government agencies, researchers, managers and non-government organisations, and discussions with individuals or small groups following the workshops. Each model was used to assess the current situation and the drivers of change that were negatively impacting the focal asset. Potential management strategies were then identified and the ‘best case management strategy’, where both model stability and asset management were improved, was incorporated in a ‘future’ model. Common themes that arose throughout this process were the need to improve water quality throughout the estuary and nearby rivers by reducing nutrient input from various sources, and the need to alter current governance structures to allow effective environmental management.Statement: *Stakeholder workshops and identification of modelling priorities* Asset identification and prioritisation was undertaken during a workshop with stakeholders to allow the construction of preliminary qualitative models and the identification of drivers of change within the Peel Harvey ecosystem. The workshop involved approximately 25 participants from a range of backgrounds and agencies *Qualitative model scenarios* - Recreational water quality models (Detailed water quality model, Estuary model and Serpentine and Murray River model) - Wading bird model - Blue swimmer crabs model - Governance models (Local governance model, High-level governance model) ii) Recreational water quality models *No new data are collected* The modelling process collates, integrates and synthesises existing data. Qualitative models are developed using published data and information gained through workshop discussions and interviews with key managers, stakeholders and scientists, the results of which are represented in the ecosystem models that are developed and described in the reports that are produced to describe the modelling results. For further information on methodology see final report.&rft.creator=Metcalf, Sarah, Dr&rft.date=2017&rft.coverage=westlimit=115.5; southlimit=-32.79; eastlimit=115.78; northlimit=-32.5&rft.coverage=westlimit=115.5; southlimit=-32.79; eastlimit=115.78; northlimit=-32.5&rft_rights=*All users must acknowledge the source of the material with the acknowledgment*: Data sourced from Western Australian Marine Science Institution (WAMSI) project funded by Western Australian State Government and research partners and carried out by <insert authors> from <insert organisations>&rft_rights=*Suggested attribution for use in citation*: [author(s)], Western Australian Marine Science Institution (WAMSI), [author organisation(s)], [year-of-data-download], [title], [data-access-URL], data accessed (YYYY-MM-DD).&rft_rights=*Disclaimer*: WAMSI and its Partners data, products and services are provided as is and WAMSI and its Partners do not warrant their fitness for a particular purpose. WAMSI and its Partners have 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. WAMSI and its Partners make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, WAMSI and its Partners exclude all liability to any person arising directly or indirectly from the use of the data, products and services.&rft_rights= http://creativecommons.org/licenses/by-nc-sa/2.5/au/&rft_rights=http://i.creativecommons.org/l/by-nc-sa/2.5/au/88x31.png&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Graphic&rft_rights=Creative Commons Attribution-Noncommercial-Share Alike 2.5 Australia License&rft_rights=http://creativecommons.org/international/au/&rft_rights=WWW:LINK-1.0-http--related&rft_rights=WWW:LINK-1.0-http--related&rft_rights=License Text&rft_rights=Creative Commons Attribution-Noncommercial-Share Alike 2.5 Australia License&rft_rights= http://creativecommons.org/licenses/by-nc-sa/2.5/au/&rft_subject=oceans&rft_subject=biota&rft_subject=environment&rft_subject=ESTUARINE HABITAT&rft_subject=EARTH SCIENCE&rft_subject=BIOSPHERE&rft_subject=AQUATIC ECOSYSTEMS&rft_subject=FOOD-WEB DYNAMICS&rft_subject=ECOLOGICAL DYNAMICS&rft_subject=ECOSYSTEM FUNCTIONS&rft.type=dataset&rft.language=English Access the data

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WAMSI and its Partners data, products and services are provided "as is" and WAMSI and its Partners do not warrant their fitness for a particular purpose. WAMSI and its Partners have 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. WAMSI and its Partners make no representation or warranty that the data, products and services are accurate, complete, reliable or current. To the extent permitted by law, WAMSI and its Partners exclude all liability to any person arising directly or indirectly from the use of the data, products and services.

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Brief description

This study produced qualitative models that assembled stakeholder perceptions of various assets and issues within the Peel Harvey estuarine system including water quality, wading birds, blue swimmer crabs and governance. The models were developed through workshops with a wide variety of stakeholders, including community groups, government agencies, researchers, managers and non-government organisations, and discussions with individuals or small groups following the workshops. Each model was used to assess the current situation and the drivers of change that were negatively impacting the focal asset. Potential management strategies were then identified and the ‘best case management strategy’, where both model stability and asset management were improved, was incorporated in a ‘future’ model. Common themes that arose throughout this process were the need to improve water quality throughout the estuary and nearby rivers by reducing nutrient input from various sources, and the need to alter current governance structures to allow effective environmental management.

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Statement: *Stakeholder workshops and identification of modelling priorities* Asset identification and prioritisation was undertaken during a workshop with stakeholders to allow the construction of preliminary qualitative models and the identification of drivers of change within the Peel Harvey ecosystem. The workshop involved approximately 25 participants from a range of backgrounds and agencies *Qualitative model scenarios* - Recreational water quality models (Detailed water quality model, Estuary model and Serpentine and Murray River model) - Wading bird model - Blue swimmer crabs model - Governance models (Local governance model, High-level governance model) ii) Recreational water quality models *No new data are collected* The modelling process collates, integrates and synthesises existing data. Qualitative models are developed using published data and information gained through workshop discussions and interviews with key managers, stakeholders and scientists, the results of which are represented in the ecosystem models that are developed and described in the reports that are produced to describe the modelling results. For further information on methodology see final report.

Modified: 21 07 2011

This dataset is part of a larger collection

115.78,-32.5 115.78,-32.79 115.5,-32.79 115.5,-32.5 115.78,-32.5

115.64,-32.645

text: westlimit=115.5; southlimit=-32.79; eastlimit=115.78; northlimit=-32.5

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  • global : a7097bd2-9228-43d8-b900-68d7481accc5