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Catch per unit effort,maximum sustainable yield and exploitation of demersal fish of Omani artisanal fishery

Journal of Coastal Life Medicine 2016年第6期4卷 440-443页

作者： Medhat Abd El Barr Department of Oceanography Alexandria UniversityPostal code 21556-Al AnfoushiAlexandriaEgypt

Objective:To evaluate exploitation status of the stocks of demersal fishes in Omani artisanal fisheries.Methods:Time-series data between 2005 and 2014 on catches and effort represented by the number of fishing boats were used to estimate catch per unit effort and maximum sustainable yields applying Schaefer surplus production model.Regression analyses were made online using GraphPad software.Results:The study revealed that increasing the number of boats on the fishery caused a decrease of catch per unit effort of some species.maximum sustainable yields and exploitation status were estimated for these species applying.Conclusions:Some demersal fish species were found to be caught in quantities exceeding maximum sustainable yields during some fishing seasons indicating overexploitation of their stocks.

关键词： Catch per unit effort maximum sustainable yield Surplus production models Demersal fish Sultanate of Oman

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Developing an intermediate-complexity projection model for China's fisheries:A case study of small yellow croaker(Larimichthys polyactis)in the Haizhou Bay,China

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Acta Oceanologica Sinica 2021年第8期40卷 108-118页

作者： Ming Sun Yunzhou Li Yiping Ren Yong Chen Fisheries College Ocean University of ChinaQingdao 266003China School of Marine Sciences University of MaineMaine 04469USA Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of EducationQingdao 266003China Laboratory for Marine Fisheries Science and Food Production Processes Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China

Projection models are commonly used to evaluate the impacts of fishing.However,previously developed projection tools were not suitable for China’s fisheries as they are either overly complex and data-demanding or too simple to reflect the realistic management measures.Herein,an intermediate-complexity projection model was developed that could adequately describe fish population dynamics and account for management measures including mesh size limits,summer closure,and spatial closure.A two-patch operating model was outlined for the projection model and applied to the heavily depleted but commercially important small yellow croaker(Larimichthys polyactis)fishery in the Haizhou Bay,China,as a case study.The model was calibrated to realistically capture the fisheries dynamics with hindcasting.Three simulation scenarios featuring different fishing intensities based on status quo and maximum sustainable yield(MSY)were proposed and evaluated with projections.Stochastic projections were additionally performed to investigate the influence of uncertainty associated with recruitment strengths and the implementation of control targets.It was found that fishing at FMSY level could effectively rebuild the depleted stock biomass,while the stock collapsed rapidly in the status quo scenario.Uncertainty in recruitment and implementation could result in variabilities in management effects;but they did not much alter the management effects of the FMSY scenario.These results indicate that the lack of science-based control targets in fishing mortality or catch limits has hindered the achievement of sustainable fisheries in China.Overall,the presented work highlights that the developed projection model can promote the understanding of the possible consequences of fishing under uncertainty and is applicable to other fisheries in China.

关键词： two-patch operating model simulation maximum sustainable yield control targets uncertainty

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Applying the Catch-MSY model to the stock assessment of the northwestern Pacific saury Cololabis Saira

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Journal of Oceanology and Limnology 2020年第6期38卷 1945-1955页

作者： SHI Yongchuang HUA Chuanxiang ZHU Qingcheng HUANG Shuolin FENG Huili College of Marine Culture and Law Shanghai Ocean UniversityShanghai 201306China College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China National Engineering Research Center for Pelagic Fishery Shanghai 201306China Key Laboratory of sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China Institute of Marine Policy&Law Shanghai Ocean UniversityShanghai 201306China

The Pacific saury(Cololabis saira)is one of the major harvested species in the temperate waters of the northwestern Pacific Ocean(NPO).The Catch-MSY model uses catch data and basic life history information to estimate the maximum sustainable yield(MSY)for data-limited fisheries.Since there is considerable uncertainty in the current status of the Pacific saury stock in the NPO,the Catch-MSY model was used in this study to estimate MSY on the basis of catch data and life history information from the North Pacific Fisheries Commission(NPFC).During the process,17 scenarios,according to different prior distributions of the intrinsic rate of increase(r)and carrying capacity(K),were set for sensitivity analysis.Moreover,the influence of different catch time series and different process errors were taken into account.The results show the following:(1)there was a strong negative correlation relationship between ln(r)and ln(K);the MSY increases with an increase in the lower limit of r;(2)The time series of catch data had a limited impact on the assessment results,whereas the results of the model were sensitive to the annual catch in the first and last years;(3)The estimated MSYs of the Pacific saury were 47.37×10^4 t(41.57×10^4 t to 53.17×10^4 t)in scenario S1A and 47.53×10^4 t(41.79×10^4 t to 53.27×10^4 t)in scenario S1B.Given the uncertainty of the Catch-MSY model,maintaining a management target between 50×10^4 t and 70×10^4 t was a better management regulation.This study shows that the Catch-MSY model is a useful choice for estimating the MSY of data-limited species such as the Pacific saury.

关键词： Cololabis saira Catch-MSY model intrinsic rate of increase maximum sustainable yield northwest Pacific Ocean

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