Abstract
Rasbora (Rasbora sp) is natural resources which have potency to catch in Rawa Pening Swamp. Total production of rasbora was 11,930 kg in 2014. The research objectives to analyzed rasbora bioeconomic status with Maximum Sustainable Yield (MSY), Maximum Economic Yield (MEY), and Open Access (OA) indicators in Rawa Pening. Bioeconomic analysis for Rasbora used Gordon-Schaefer Model. Primary data obtained with census and the total respondents were 31 gillnet fishers. Primary data were gillnet efforts, price and cost of rasbora fishing. Secondary data used Rasbora (Rasbora sp) production for 10 years from 2003-2012. The result of Gordon-Schaefer model for Maximum Sustainable Yield produced of rasbora (CMSY) of 44,100 kg/year with fishing efforts (EMSY) 21,000 efforts/year. The Maximum Economic Yield status (CMEY) 35,916.08 kg/year with effort maximum (EMEY) of rasbora 11,953 efforts/year. Meanwhile, limitation of the rasbora production in Open Access Equilibrium (COAE) was 43,000 kg/year and effort maximum (EOAE) 23,766 efforts/year. Rasbora resources in Rawa Pening status is in underfishing condition.
Highlights
Rasbora is one of the endemic fish species living in RawaPeningSwamp, Semarang, Central Java
Was it associated with increased activities in the waters of RawaPening, both from the fishing fleets nor the fishing trip? it needs the required arrangement of fishing that leads to the concept of environmental sustainability by measured he status of rasbora utilization in Rawa Pening Swamp
The concept of Maximum Sustainable Yield (MSY) is maximum sustainable results is recommended as one of the goals of the fisheries management
Summary
Rasbora is one of the endemic fish species living in RawaPeningSwamp, Semarang, Central Java. The objectives of this research were to analyzingrasbora (Rasborasp) bioeconomic status in Rawa Pening, using bioeconomic Gordon-Schaefer model with three indicators inter alia, MSY (Maximum Sustainable Yield), MEY (Maximum Economic Yield) and the OAE (Open-Access Equilibrium) condition. Time series data of rasbora production (yield) and fishing effort used to predict biology and economic parameters in bioeconomic model. Rasbora production data per year divided with fishing effort per year to calculate Catch Per. Unit Effort (CPUE). Hartwick and Olewiler (1986) in Dewi (2010) explain that in open access condition, where fisheries resources can be exploited without control, fishers total revenue (TR) with an assumption price of per unit fish catching (p) constant, it can be expressed as follows : TR = p Q whereas Q = αE - βE2.
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