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An agent-based model for simulating trading of multi-species fisheries quota
Authors:L Richard Little  André E Punt  Bruce D Mapstone  Gavin A Begg  Barry Goldman  Ashley J Williams
Institution:1. CSIRO Marine and Atmospheric Research, PO Box 1538, Hobart, TAS 7001, Australia;2. Crawford School of Economics and Government, Australian National University, Canberra, ACT 0200, Australia;3. School of Aquatic and Fishery Sciences, University of Washington, Box 305520, Seattle, WA 98195, USA;4. Centre for Australia Climate and Weather Research, A partnership between the Australian Bureau of Meteorology and CSIRO, PO Box 1538, Hobart, TAS 7001, Australia;5. Bureau of Rural Sciences, GPO Box 858, Canberra, ACT, Australia;6. Fishing and Fisheries Research Centre, School of Tropical Environment Studies and Geography, James Cook University, Townsville, Queensland, Australia;g Oceanic Fisheries Programme, Secretariat of the Pacific Community, BP D5, 98848 Noumea, New Caledonia
Abstract:Individual transferable quotas (ITQs) are increasingly seen as a way to make fisheries more profitable and halt over-capitalisation. ITQs allocate to users of a resource a share of a total allowable catch (TAC) which they are free to use, lease, or sell. We outline an approach to modelling the effect of an ITQ system in a multi-species, multi-sector fishery and apply it to the Coral Reef Fin Fish Fishery (CRFFF) in Queensland, Australia. An ITQ model, based on the assumption that operators seek to maximize profits, simulates the use of tradeable quota units by operators in the fishery, taking account of the initial quota allocation to operators, seasonal fish prices and individual operator variable costs, their fishing efficiency and experience, and constraints on vessel movements. Rationalization of the fishery is predicted to occur under an ITQ system for the CRFFF, which will lead to reductions in effort, increases in profits, and changes over time in quota prices. The ecological consequences of transferable quota in the multi-species fishery are seen in the catch and discard levels of the less profitable species, even though a TAC was set. This had flow-on effects on biomass. For example, simulations showed that the TAC for the primary target species, coral trout, was used more fully than that for a less valuable target species, red throat emperor, and that this was achieved through increased discarding of red throat emperor. Catches of both coral trout and red throat emperor that were derived from the model were higher than those recently observed in the fishery. The effort predicted by the model, however, closely approximated the actual effort observed in the fishery following implementation of ITQ management.
Keywords:Individual transferable quota  ITQ  Vessel dynamics  Computer model  Simulation modelling  Coral reef fisheries
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