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Complementarity of No‐Take Marine Reserves and Individual Transferable Catch Quotas for Managing the Line Fishery of the Great Barrier Reef
Authors:LR LITTLE  RQ GRAFTON  T KOMPAS  ADM SMITH  AE PUNT  BD MAPSTONE
Institution:1. CSIRO Marine and Atmospheric Research and CSIRO Wealth from Oceans Flagship, GPO Box 1538, Hobart, Tasmania 7001, Australia;2. Crawford School of Economics and Government (Building 132), Lennox Crossing, Australian National University, Canberra, ACT 0200, Australia;3. School of Aquatic and Fishery Sciences, University of Washington, Box 305520, Seattle, WA 98195, U.S.A.
Abstract:Abstract: Changes in the management of the fin fish fishery of the Great Barrier Reef motivated us to investigate the combined effects on economic returns and fish biomass of no‐take areas and regulated total allowable catch allocated in the form of individual transferable quotas (such quotas apportion the total allowable catch as fishing rights and permits the buying and selling of these rights among fishers). We built a spatially explicit biological and economic model of the fishery to analyze the trade‐offs between maintaining given levels of fish biomass and the net financial returns from fishing under different management regimes. Results of the scenarios we modeled suggested that a decrease in total allowable catch at high levels of harvest either increased net returns or lowered them only slightly, but increased biomass by up to 10% for a wide range of reserve sizes and an increase in the reserve area from none to 16% did not greatly change net returns at any catch level. Thus, catch shares and no‐take reserves can be complementary and when these methods are used jointly they promote lower total allowable catches when harvest is relatively high and encourage larger no‐take areas when they are small.
Keywords:computer‐simulation modeling  fisheries management  ITQ  management strategy evaluation  marine protected areas  á  reas marinas protegidas  CIT  evaluació  n de estrategias de manejo  manejo de pesquerí  as  modelo de simulació  n en computadora
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