| Popis: |
This paper presents the results of applying the system dynamics model to the Indian mackerel fishery (IM) in Malaysia. The main objective of this paper is to explore a more holistic approach to modelling options for the difficult task of managing an open access fishery. To this end, a system dynamics model was used to provide a general framework that incorporates several interacting factors that influence the management of the fishery. Such a model, which combines both biological and economic data, is appropriate for fisheries management practise. In this case, three policy scenarios (in addition to a business-as-usual scenario) based on a reduction in the number of boats fishing are used to simulate the behaviour of the stock IM. The results show that the optimal CPUE level is achieved with a 25% reduction in the total number of boats. In this scenario, a biomass of 127,432 metric tonnes IM of adult fish is predicted in 2050, with a catch of 32,884 tonnes for 2698 boats. In comparison, the biomass of IM in 2016 is 112,384 tonnes with a catch of 32,454 tonnes for 4616 boats. Based on these results, we can determine for the first time the optimal level of fishing capacity to ensure the sustainability of the fishery at IM. Overall, this work introduces a new method for simulating Malaysian fisheries data and new modelling methods that are not widely used in the Malaysian fisheries modelling field. The model benefits from current management and data availability. |
