Azov-Black Sea branch of Russian Federal Research Institute of Fisheries and Oceanography (AzNIIRKH) (Math modeling & forecast group, leading researcher)
Russian Federation
UDK 57 Биологические науки
GRNTI 69.09 Биологические ресурсы Мирового океана и внутренних водоемов
OKSO 110000 СЕЛЬСКОЕ И РЫБНОЕ ХОЗЯЙСТВО
BBK 472 Рыбное хозяйство
This study performs approbation of trend CMSY model on the example of Black sea sprat fishing unit, localized in Russian waters. Data sources has been reduced to the level of data limited modeling for indicator and trend models approach. CMSY population model results were compared with previously performed estimations by more powerful cohort model - XSA. CMSY results shows no significant deviations from the XSA results. Forecast scenarios and conclusions based on CMSY model fitting leads to the same statements with previously published results by XSA. CMSY model shows next results: stock biomass in 2019 B2019 = 63,9 ths. t, fishing mortality – F2019 = 0,29. Stock biomass in 2019 was significant below the target reference point BMSY = 105 ths. t and higher then limit reference point Blim = 52,7 ths. t. Some uncertain overexploitation in 2019 was underlined, F2019/FMSY = 1,12. Investigation of forecast scenarios with different total allowed catch levels indicates that there are no features for increasing the catch capacity in short-term projection. CMSY model fitting have passed the necessary stability tests and confirm previously founded results. In summary of this study, we can recommend to use CMSY model for stock assessment procedure in terms of data-limited information background.
population modeling, stock assessment, sprat, trend modeling, approbation, CMSY, XSA, Azov-Black sea basin
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