Assessing the net benefits of achieving water quality targets using a bio-economic model |
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| Affiliation: | 1. Agriculture Research and Development Division, Department of Economic Development, Jobs, Transport and Resources, Victoria, Australia;2. Natural Decisions, Pty Ltd, Victoria, Australia;3. Centre for Environmental Economics and Policy, University of Western Australia, Western Australia, Australia;4. Burnett Mary Regional Group for Natural Resource Management, Bundaberg, Queensland, Australia;1. The University of Queensland, Tropical and Subtropical Weeds Research Unit, School of Agriculture and Food Sciences, St. Lucia 4072, QLD, Australia;2. Technigro Pty Ltd., PO Box 2020, Nerang BC 4211, QLD, Australia;3. Department of Agriculture, Fisheries and Forestry, Ecosciences Precinct, Boggo Road, Dutton Park 4102, QLD, Australia;1. Department of Electronics and Computer Engineering, Hanyang University, Republic of Korea;2. Computer Science Department, Carnegie Mellon University, Pittsburgh, USA;3. School of Business, Yonsei University, Republic of Korea;1. Department of Information Management, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih District, Kaohsiung 81148, Taiwan, ROC;2. Department of Information Management, Kun Shan University, 195, Kunda Rd., YongKang Dist., Tainan, Taiwan, ROC;3. Bachelor Program of Computer and Intelligent Robot, National Pingtung University 51, Minsheng E. Rd., Pingtung City, Pingtung County 90004, Taiwan, ROC;4. Department of Information Management, National University of Kaohsiung, 700, Kaohsiung University Rd., Nanzih District, Kaohsiung 81148, Taiwan, ROC;1. Adam Mickiewicz University, Department of Integrated Geography, Poznań, Poland;2. Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany;3. Helmholtz Centre for Environmental Research UFZ, Department of Computational Landscape Ecology, Leipzig, Germany |
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| Abstract: | The aim of this study was to develop a bio-economic model to estimate the feasibility and net profit (or net costs) of achieving set water quality targets (sediment, nitrogen, phosphorus and herbicide load reductions) in the Burnett-Mary region within the southern portion of the Great Barrier Reef (GBR), southern Queensland, Australia. Two sets of targets were evaluated, namely (1) Reef Plan Targets (RPTs) representing currently agreed targets, and (2) the more ambitious Ecologically Relevant Targets (ERTs) designed to halt the decline and improve the condition of the GBR. This paper describes the construction of a bio-economic optimisation framework linking field and catchment scale biophysical model results and farm economic analysis to solve for RPTs or ERTs assigned either regionally or within discrete basins. Key outcomes from the study were that RPTs could be achieved whereas ERTs required significant additional investment and were infeasible if individual basins must meet the targets. |
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| Keywords: | Decision support system (DSS) Bio-economic optimisation framework Water quality |
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