AUTHOR=Ren Qing-qiang , Liu Min 

TITLE=Assessing Northwest Pacific Fishery Stocks Using Two New Methods: The Monte Carlo Catch-MSY (CMSY) and the Bayesian Schaefer Model (BSM)

JOURNAL=Frontiers in Marine Science

VOLUME=7

YEAR=2020

URL=https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2020.00430

DOI=10.3389/fmars.2020.00430

ISSN=2296-7745

ABSTRACT=<p>The CMSY and Bayesian Schaefer model (BSM) methods were applied to assess data-limited fishery stocks in the Japan Sea and surrounding areas of the Northwest Pacific. Ten stocks including 4 fish species and 5 cephalopod species were assessed; the CMSY method was used in 3 stocks with catch data only, and the BSM method in 7 stocks with both catch time series and catch per unit effort (CPUE) data available. The two methods estimated the maximum intrinsic rate of population increase (<italic>r</italic>) and carrying capacity of each stock, which allowed the computation of maximum sustainable yield (MSY), and exploited biomass relative to the biomass at maximum sustainable yield (<italic>B/B<sub><italic>MSY</italic></sub></italic>). All 10 stocks were overfished, if to a different extent, and one, the spear squid (<italic>Heterololigo bleekeri</italic>) has collapsed. The reference points estimated here may be used as indicator for fishery management in this ecoregion.</p>