Assessment of shrimp fisheries management potential strategies in a data-limited and uncertain situation using Future-projection models (Case study: Hormozgan Province)

Abstract

The Future projection models (FPMs) were used to assess some shrimp fisheries management strategies (11 strategies and 2 Reference procedures) in a data-poor and uncertain situation in Hormozgan province, Persian Gulf. Data were collectedby scientific observers onboard traditional shrimp trawlers during October to December 2018, and reviewing the literatures. Data analysis revealed that maximum relative performance was related to Catch by shrimp size controlling strategy. Against, Delay-difference management strategy has the lowest relative performance, in terms of remaining stock and yield, and is never recommended to shrimp fisheries management in the region. Strategy of the controlling fishing effort through target species length frequency (LtargetE) has also the best outputs than others for conserving the shrimp stock.To achieve the maximum protection from spawning stock biomass,strategy of regulating the fishing effort through target species optimum length (EtargetLopt)has an acceptable performance.Effort searching strategy has also the highest performance forarriving the maximum sustainable yield (MSY) in a depleted stock, and disclosed that forty percent of the stock should be harvested as an optimum effort. The findings of the present paper could help to promote sustainable fisheries management in the Persian Gulf.

Keywords

• fisheries management
• shrimp stock
• fishery uncertainty
• persian gulf