Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessm...Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessment.Many statistical models have been used in the previous CPUE standardization research.Here,we compare the performance of Generalized Linear Models(GLMs)and Generalized Additive Models(GAMs)using CPUE data collected from Chinese saury fishery in the Northwest Pacific Ocean from 2003 to 2017(excluding data from Chinese Taipei),and evaluate the influence of spatial,temporal,environmental variables and vessel length on CPUE.Optimal GLM/GAM models were selected using the Bayesian information criterion(BIC).Explained deviance and 5-fold bootstrap cross-validation results were used to compare the performance of the two model types.Fitted GLMs accounted for 21.57%of the total model-explained deviance,while GAMs accounted for 38.95%.Predictive performance metrics and 5-fold cross-validation results showed that the best GAM performed better than the best GLM.Therefore,we recommend GAM as the preferred model for standardizing CPUE of Pacific saury in the Northwest Pacific Ocean.展开更多
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 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.展开更多
Pacific saury(Cololabis saira)is usually sold as whole fish in wholesale markets,or in its gutted form which is easy for consumers to cook in retail markets.In order to assess the effect of gutting on the shelf life o...Pacific saury(Cololabis saira)is usually sold as whole fish in wholesale markets,or in its gutted form which is easy for consumers to cook in retail markets.In order to assess the effect of gutting on the shelf life of Pacific saury during refrigerated storage and reveal the microbial community,fish samples grouped into(I)whole fish and(II)gutted fish were analyzed periodically for sensory,biochemical and microbiological characteristics,and high-throughput sequencing technology was used to investigate the microbiota.Results showed that the sensory score for the gutted fish became unacceptable on day 8,while the whole fish score remained acceptable for 10 days.The total volatile basic nitrogen(TVB-N)value of the gutted fish reached 30 mg N(100 g)^-1 on day 6,while that of the whole samples surpassed 30 mg N(100 g)^-1 on day 10.The thiobarbituric acid reactive substances(TBARS)value of the gutted fish got close to 5.0 mg kg^-1 on day 10,while that of the whole samples surpassed 5.0 mg kg^-1 on day 14.The aerobic plate colony counts(APCs)for the gutted and whole Pacific saury reached 7.0 log10 CFUg^-1 on days 6 and 10,respectively.Organoleptic,biochemical and microbiological analyses revealed that shelf-lives should be 6–8 days for gutted fish and 10 days for whole fish.Microbiota analysis results showed that gutting partly changed the initial microbiota,but didn't alter the dominant bacteria during storage.When the fish were spoiled,high proportion of Pseudomonadaceae was detected in both groups.展开更多
基金The National Sci-Tech Support Plan “Fishing Technology and New Resources in Oceanic Fisheries” under contract No.2013BAD13B05
文摘Pacific saury is an important high-seas fishery resource in the Northwest Pacific Ocean for the Chinese Mainland.Reliable and accurate catch per unit effort(CPUE)plays a significant rule in Pacific saury stock assessment.Many statistical models have been used in the previous CPUE standardization research.Here,we compare the performance of Generalized Linear Models(GLMs)and Generalized Additive Models(GAMs)using CPUE data collected from Chinese saury fishery in the Northwest Pacific Ocean from 2003 to 2017(excluding data from Chinese Taipei),and evaluate the influence of spatial,temporal,environmental variables and vessel length on CPUE.Optimal GLM/GAM models were selected using the Bayesian information criterion(BIC).Explained deviance and 5-fold bootstrap cross-validation results were used to compare the performance of the two model types.Fitted GLMs accounted for 21.57%of the total model-explained deviance,while GAMs accounted for 38.95%.Predictive performance metrics and 5-fold cross-validation results showed that the best GAM performed better than the best GLM.Therefore,we recommend GAM as the preferred model for standardizing CPUE of Pacific saury in the Northwest Pacific Ocean.
基金Supported by the National Sci-Tech Support Plan“Fishing Technology and New Resources in Oceanic Fisheries”(No.2013BAD13B05)。
文摘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.
基金Financial support from the National Key R&D Program of China(No.2018YFD0901004)Central Public-interest Scientific Institution Basal Research Fund,YSFRI,CAFS(No.20603022018028)
文摘Pacific saury(Cololabis saira)is usually sold as whole fish in wholesale markets,or in its gutted form which is easy for consumers to cook in retail markets.In order to assess the effect of gutting on the shelf life of Pacific saury during refrigerated storage and reveal the microbial community,fish samples grouped into(I)whole fish and(II)gutted fish were analyzed periodically for sensory,biochemical and microbiological characteristics,and high-throughput sequencing technology was used to investigate the microbiota.Results showed that the sensory score for the gutted fish became unacceptable on day 8,while the whole fish score remained acceptable for 10 days.The total volatile basic nitrogen(TVB-N)value of the gutted fish reached 30 mg N(100 g)^-1 on day 6,while that of the whole samples surpassed 30 mg N(100 g)^-1 on day 10.The thiobarbituric acid reactive substances(TBARS)value of the gutted fish got close to 5.0 mg kg^-1 on day 10,while that of the whole samples surpassed 5.0 mg kg^-1 on day 14.The aerobic plate colony counts(APCs)for the gutted and whole Pacific saury reached 7.0 log10 CFUg^-1 on days 6 and 10,respectively.Organoleptic,biochemical and microbiological analyses revealed that shelf-lives should be 6–8 days for gutted fish and 10 days for whole fish.Microbiota analysis results showed that gutting partly changed the initial microbiota,but didn't alter the dominant bacteria during storage.When the fish were spoiled,high proportion of Pseudomonadaceae was detected in both groups.
