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- W2365698808 abstract "The stock assessment and risk analysis of alternative management strategies for neon flying squid Ommartrephes bartramii were carried out by using a Bayesian Schaefer model,in which three conditions,i.e.uniform,normal and random prior assumptions,are considered.Comparing the prior distributions of model parameters(e.g.r,K and q)with the posterior distributions,they differed greatly under the scenario of uniform prior assumption,indicating that the data provide enough imformation for the value of model parameters.The estimated model parameters and reference points were similar under the scenarios of normal and random prior assumptions,but less than the values under the scenario of uniform prior assumption.The fishing mortalities and total catches from 1996 to 2004 were lower than reference points F0.1 and MSY under three proposed scenarios,indicating that O.bartramii is on an expected sustainable exploited level and it is not in the state of over-fishing and over-fished.A stochastic decision-making framework was developed to incorporate the uncertainties in both the estimates of current fishing mortality(Fcur)and stock biomass(Bcur)and limited reference points of Flim and Blim.The results of decision analysis indicated that under the same harvest rate,the catch and biomass in 2019 from the uniform assumption are highest,which are more than that eatimated from the other two asumptions,but there is the highest probability of the collapse of squid resources.It is concluded that the harvest rate of 0.3 appears to be the best management regulation and the MSY will attain at 130 thousand tons,which balance the desire for high yields and the healthy population." @default.
- W2365698808 created "2016-06-24" @default.
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- W2365698808 date "2011-01-01" @default.
- W2365698808 modified "2023-09-23" @default.
- W2365698808 title "Stock assessment and management of Ommartrephes bartramii by using a Bayesian Schaefer model in the Northwestern Pacific Ocean" @default.
- W2365698808 hasPublicationYear "2011" @default.
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