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Stock assessment for Atlantic yellowfin tuna based on extended surplus production model considering life history

Acta Oceanologica Sinica 2022年第8期41卷 41-51页

作者： Zhipan tian Fei Wang siquan tian Qiuyun Ma College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China National Distant-water Fisheries Engineering Research Center Shanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China Fisheries College Zhejiang Ocean UniversityZhoushan 316022China

The modern fishery stock assessment could be conducted by various models,such as Stock Synthesis model with high data requirement and complicated model structure,and the basic surplus production model,which fails to incorporate individual growth,maturity,and fishery selectivity,etc.In this study,the Just Another Bayesian Biomass Assessment(JABBA)Select which is relatively balanced between complex and simple models,was used to conduct stock assessment for yellowfin tuna(Thunnus albacares)in the Atlantic Ocean.Its population dynamics was evaluated,considering the influence of selectivity patterns and different catch per unit effort(CPUE)indices on the stock assessment results.The model with three joint longline standardized CPUE indices and logistic selectivity pattern performed well,without significant retrospective pattern.The results indicated that the stock is not overfished and not subject to overfishing in 2018.Sensitivity analyses indicated that stock assessment results are robust to natural mortality but sensitive to steepness of the stock-recruitment relationship and fishing selectivity.High steepness was revealed to be more appropriate for this stock,while the fishing selectivity has greater influence to the assessment results than life history parameters.Overall,JABBA-Select is suitable for the stock assessment of Atlantic yellowfin tuna with different selectivity patterns,and the assumptions of natural mortality and selectivity pattern should be improved to reduce uncertainties.

关键词： population dynamics selectivity tropical tuna fishery management

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Evaluation of the performance of alternative assessment configurations to account for the spatial heterogeneity in age-structure: a simulation study based on Indian Ocean albacore tuna

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Acta Oceanologica Sinica 2019年第10期38卷 9-19页

作者： Wenjiang Guan Jiawen Wu siquan tian College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China

Various population structures or spatial heterogeneities in population distribution have been an important source of model misspecification and have had an impact on estimation performance in fisheries stock assessment.In this study,we simulated the Indian Ocean albacore spatial heterogeneity in age-structure using Stock Synthesis according to the stage-dependent migration rate and region-dependent fishing mortality rate and generated the stock assessment data.Based on these data,we investigated the performances of different spatial configurations,selectivity curves and selections of CPUE(catch per unit effort)indices of the assessment models which were used to account for spatial heterogeneity.The results showed:(1)although the spatially explicit configurations,which exactly matched the operating model,provided unbiased and accurate estimates of relative spawning biomass,relative fishing mortality rate and maximum sustainable yield in all simulation scenarios,their performance may be very poor if there were mismatches between them and the operating model due to gaps in knowledge and data;(2)for spatially explicit assessment configuration,the correct boundary was required,but for non-spatially explicit assessment configuration,it seemed more important for analysts to partition the area to properly reflect the transition in field data and to effectively account for the impacts of ignoring the spatial structure by using the additional spatially referenced parameters;(3)although the areas-as-fleets methods and flexible time-varying selectivity curves could be used as better alternative approaches to account for spatial structure,these configurations could not completely eliminate the impacts of model misspecification and the quality of estimates of different quantities from the same assessment model may be inconsistent or the performance of the same assessment configuration may fluctuate significantly between simulation scenarios;(4)although the worst estimates could generally be avoided by using multiple CPUE indic

关键词： spatial structure simulation stock assessment Indian Ocean Thunnus alalunga

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Comparing different spatial interpolation methods to predict the distribution of fishes:A case study of Coilia nasus in the Changjiang River Estuary

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Acta Oceanologica Sinica 2021年第8期40卷 119-132页

作者： Shaoyuan Pan siquan tian Xuefang Wang Libin Dai Chunxia Gao Jianfeng Tong College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China National Distant-water Fisheries Engineering Research Center Shanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai 201306China Key Laboratory of Oceanic Fisheries Exploitation Ministry of Agriculture and Rural AffairsShanghai 201306China Scientific Observing and Experimental Station of Oceanic Fishery Resources Ministry of Agriculture and Rural AffairsShanghai 201306China

Spatial-temporal distribution of marine fishes is strongly influenced by environmental factors.To obtain a more continuous distribution of these variables usually measured by stationary sampling designs,spatial interpolation methods(SIMs)is usually used.However,different SIMs may obtain varied estimation values with significant differences,thus affecting the prediction of fish spatial distribution.In this study,different SIMs were used to obtain continuous environmental variables(water depth,water temperature,salinity,dissolved oxygen(DO),p H,chlorophyll a and chemical oxygen demand(COD))in the Changjiang River Estuary(CRE),including inverse distance weighted(IDW)interpolation,ordinary Kriging(OK)(semivariogram model:exponential(OKE),Gaussian(OKG)and spherical(OKS))and radial basis function(RBF)(regularized spline function(RS)and tension spline function(TS)).The accuracy and effect of SIMs were cross-validated,and two-stage generalized additive model(GAM)was used to predict the distribution of Coilia nasus from 2012 to 2014 in CRE.DO and COD were removed before model prediction due to their autocorrelation coefficient based on variance inflation factors analysis.Results showed that the estimated values of environmental variables obtained by the different SIMs differed(i.e.,mean values,range etc.).Cross-validation revealed that the most suitable SIMs of water depth and chlorophyll a was IDW,water temperature and salinity was RS,and p H was OKG.Further,different interpolation results affected the predicted spatial distribution of Coilia nasus in the CRE.The mean values of the predicted abundance were similar,but the differences between and among the maximum value were large.Studies showed that different SIMs can affect estimated values of the environmental variables in the CRE(especially salinity).These variations further suggest that the most applicable SIMs to each variable will also differ.Thus,it is necessary to take these potential impacts into consideration when studying the relationship between the spatial d

关键词： the Changjiang River Estuary marine environmental factors spatial interpolation method Coilia nasus spatial distribution

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南海渔业资源状况及其管理挑战

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上海海洋大学学报 2024年第3期33卷 786-798页

作者：田思泉柳晓雪花传祥王寅杜涣洋上海海洋大学海洋生物资源与管理学院上海201306 国家远洋渔业工程技术研究中心上海201306 大洋渔业资源可持续开发教育部重点实验室上海201306

通过归纳南海各渔业区的渔业资源特点及国内渔业管理现状,总结了当前南海渔业资源及其管理面临的主要问题。南海为我国渔业资源最富饶的海域之一,然而南海北部渔业区重要经济种类正面临资源开发过度的严峻形势。南海外海开发潜力巨大,... 详细信息

通过归纳南海各渔业区的渔业资源特点及国内渔业管理现状,总结了当前南海渔业资源及其管理面临的主要问题。南海为我国渔业资源最富饶的海域之一,然而南海北部渔业区重要经济种类正面临资源开发过度的严峻形势。南海外海开发潜力巨大,但迫切需要及时丰富和优化渔业资源调查评估和手段。有关南海目前的渔业管理现状,休渔制度的实行使得开捕后的多种主要经济物种资源有所恢复,但效果有限,仍需未来更多的研究和调查数据来论证休渔制度的效果。人类活动、气候变暖及海洋酸化、资源评估手段较为单一和落后等问题,为南海渔业资源的管理和养护带来巨大挑战。制定合理的渔业资源养护和管理措施,开展持续的资源调查以及引入合适的资源评估手段,对实现南海渔业资源的可持续利用具有重要意义。

关键词：南海渔业资源资源评估管理措施挑战

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An evaluation of the effects of sample size on estimating length composition of catches from tuna longline fisheries using computer simulations

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Aquaculture and Fisheries 2020年第3期5卷 122-130页

作者： Jiaqi Wang Luoliang Xu Bai Li siquan tian Yong Chen College of Marine Sciences Shanghai Ocean UniversityShanghai201306China School of Marine Sciences University of MaineOronoME04469USA National Distant-water Fisheries Engineering Research Center Shanghai Ocean UniversityShanghai201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of EducationShanghai Ocean UniversityShanghai201306China

Length composition analysis can provide insights into the dynamics of a fish population.Accurate quantification of the size structure of a population is critical to understand the status of a fishery and how the population responds to environmental stressors.A scientific observer program is a reliable way to provide such accurate information.However,100%observer coverage is usually impossible for most fisheries because of logistic and financial constraints.Thus,there is a need to evaluate observer program performance,identify suitable sample sizes,and optimize the allocation of observation efforts.The objective of this study is to evaluate the effects of sample size on the quality of length composition data and identify an optimal coverage rate and observation ratio to improve the observation efficiency using an onboard observer data set from China's tuna longline fishery in the western and central Pacific Ocean.We found that the required sample size varies with fish species,indices used to describe length composition,the acceptable accuracy of the estimates,and the allocation methods of sampling effort.Ignoring other information requirements,1000 individuals would be sufficient for most species to reliably quantify length compositions,and a smaller sample size could generate reliable estimates of mean length.A coverage rate of 20%would be sufficient for most species,but a lower coverage rate(5%or 10%)could also be effective to meet with the accuracy and precision requirement in estimating length compositions.A nonrandom effort allocation among fishing baskets within a set could cause the length composition to be overestimated or underestimated for some species.The differences in effective sample sizes among species should be included in the consideration for a rational allocation of observation effort among species when there are different species management priorities.

关键词： Length composition Sample size Onboard observer Accuracy and precision WCPO and computer simulation

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An individual-based probabilistic model for simulating fisheries population dynamics

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Aquaculture and Fisheries 2016年第1期1卷 34-40页

作者： Jie Cao Wenjiang Guan Samuel Truesdell Yong Chen siquan tian School of Marine Sciences University of MaineOronoME 04469USA International Center for Marine Studies Shanghai Ocean UniversityShanghaiChina

The purpose of stock assessment is to support managers to provide intelligent decisions regarding removal from fish populations.Errors in assessment models may have devastating impacts on the population fitness and negative impacts on the economy of the resource users.Thus,accuracte estimations of population size,growth rates are critical for success.Evaluating and testing the behavior and performance of stock assessment models and assessing the consequences of model mis-specification and the impact of management strategies requires an operating model that accurately describe the dynamics of the target species,and can resolve spatial and seasonal changes.In addition,the most thorough evaluations of assessment models use an operating model that takes a different form than the assessment model.This paper presents an individual-based probabilistic model used to simulate the complex dynamics of populations and their associated fisheries.Various components of population dynamics are expressed as random Bernoulli trials in the model and detailed life and fishery histories of each individual are tracked over their life span.The simulation model is designed to be flexible so it can be used for different species and fisheries.It can simulate mixing among multiple stocks and link stock-recruit relationships to environmental factors.Furthermore,the model allows for flexibility in sub-models(e.g.,growth and recruitment)and model assumptions(e.g.,age-or size-dependent selectivity).This model enables the user to conduct various simulation studies,including testing the performance of assessment models under different assumptions,assessing the impacts of model mis-specification and evaluating management strategies.

关键词： Individual-based Population simulation Population dynamics Fisheries Spatial

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Evaluating effectiveness of biological reference points for bigeye tuna (Thunnus obesus) and yellowfin tuna (Thunnus albacares) fisheries in the Indian Ocean

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Aquaculture and Fisheries 2017年第2期2卷 78-87页

作者： Yuying Zhang Yong Chen Jiangfeng Zhu siquan tian Xinjun Chen International Center for Marine Sciences Shanghai Ocean UniversityShanghai 201306China Department of Biological Sciences Florida International UniversityBiscayne Bay CampusMiamiFL 33181USA School of Marine Sciences University of MaineOronoME 04469USA College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China

Biological reference point(BRP)is one of the essential components in the management strategy evaluation that is used to determine the status of fishery stock and set management regulations.However,as BRPs can be derived from different models and many different BRPs are available,the effectiveness and consistency of different BRPs should be evaluated before being applied to fisheries management.In this study,we used a computation-intensive approach to identify optimal BRPs.We systematically evaluated 1500 combinations of alternative BRPs in managing the bigeye tuna(Thunnus obesus)and yellowfin tuna(Thunnus albacares)fisheries in the Indian Ocean.The effectiveness and consistency of these BRPs were evaluated using four performance measures related to fisheries landing performance and biomass conservation.Monte Carlo simulation was used to evaluate various uncertainties.The results suggest that the proposed computation-intensive approach can be effective in identifying optimal BRPs with respect to a set of defined performance measures.We found that the current maximum sustainable yield(MSY)-based BRP combinations are effective target BRPs to manage the bigeye and yellowfin tuna fisheries with the“linear”harvest control rule(HCR).However,using the“knife-edge”HCR,better BRPs could be found for both the bigeye and yellowfin tuna fisheries management with improved fisheries and conservation performance.The framework developed in this study can be used to identify suitable BRPs based on a set of defined performance measures for other fisheries.

关键词： Bigeye tuna Biological reference point Harvest control rule Indian Ocean Management strategies evaluation Yellowfin tuna

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Influence of sampling frequency on detectability of fish community and fish species in a fishery-independent survey

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Aquaculture and Fisheries 2017年第2期2卷 94-102页

作者： Jing Zhao Jie Cao siquan tian Yong Chen Shouyu Zhang Xijie Zhou College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China School of Marine Sciences University of MaineOronoME 04469USA

Understanding the dynamics and regulation of a particular ecological process requires monitoring of the process at appropriate spatial and temporal scales.Information collected at an inappropriate spatiotemporal scale may be insufficient for capturing spatio-temporal dynamics of fish populations and community.In this study,a Monte Carlo method was developed to evaluate the detectability performances of different sampling frequencies,sampling timings and sampling intensities on fish community indices and fish species.Species richness indices tended to decrease with an increased sampling frequency,while species diversity indices had small changes in response to changes in sampling frequency.The diversity index was more likely to be influenced by the choice of sampling timing compared to the richness index.The total number of species,especially seasonal and rare species present in the simulated sampling,increased with sampling frequency.Although sampling frequency is more important than sampling intensity,sampling intensity is also important for the detectability of fish species.This study showed that sampling frequency and intensity could greatly influence the estimation of fish community.Choices of sampling timing,sampling frequency and intensity may result in different estimates of fish species compositions and community structure.It is very necessary to consider the importance of sufficient sampling frequency and intensity in a survey program.

关键词： Fish community index Fish species Sampling frequency Sampling timing Sampling intensity Detectability

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Variations of oceanic fronts and their influence on the fishing grounds of Ommastrephes bartramii in the Northwest Pacific

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Acta Oceanologica Sinica 2014年第4期33卷 45-54页

作者： CHEN Xinjun tian siquan GUAN Wenjian College of Marine Sciences Shanghai Ocean University Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources Ministry of Education National Distant-water Fisheries Engineering Research Center Shanghai Ocean University

Two predominant currents, the warm Kuroshio Current and the cold Oyashio Current, meet in the North- west Pacific Ocean. The dynamics of physical oceanographic structures in this region, including frontal zones and meandering eddies, result in a highly productive habitat that serves as a favorable feeding ground for various commercially important species. Neon flying squid, Ommastrephes bartramii, is an im- portant oceanic squid, which is widely distributed in the North Pacific Ocean. Based on the catch data col- lected by Chinese squid jigging fleets and relevant environmental data, including sea surface temperature （SST） and fronts （represented by gradients of SST and thermocline） during 1998-2009, the variations of oceanic fronts and their influence on the fishing grounds of O. bartramii were evaluated, and the differ- ences in distribution of fishing grounds of O. bartramii in 2000 and 2002 were compared by describing the differences in vertical temperature between 0-300 m. It was found that the preferred horizontal tem- perature gradient of SST for O. bartramii tended to be centered at 0.01-0.02~C/nm, which attracted nearly 80% of the total fishing effort, and the preferred horizontal temperature gradients at the 50 m and 105 m layers were mainly located at 0.01-0.03~C/nm, which accounted for more than 70% of the total fishing effort during August-October. The preferred vertical temperature gradient within the 0-50 m layer for O. bartramii tended to be centered at 0.15-0.25~C/m during August and September and at 0.10-0.15~C/m in October, implying that the mixed surface layer was distributed at depths of 0-50 m. It was concluded that the vertical temperature gradient was more important than the horizontal temperature gradient in playing a role in forming the fishing ground. The results improved our understanding of the spatial dynamics of the 0. bartramii fishery.

关键词： Ommastrephe bartramii fishing ground ocean front interannual variation Northwest Pacific

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Estimation of catch losses resulting from overexploitation in the global marine fisheries

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Acta Oceanologica Sinica 2017年第12期36卷 37-44页

作者： DING Qi CHEN Xinjun CHEN Yong tian siquan College of Marine Sciences Shanghai Ocean UniversityShanghai 201306China Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources of Ministry of Education Shanghai Ocean UniversityShanghai 201306China National Engineering Research Center for Oceanic Fisheries Shanghai Ocean UniversityShanghai 201306China Collaborative Innovation Center for Distant-water Fisheries Shanghai 201306China School of Marine Sciences University of MaineOronoMaine 04469USA

Many fish stocks in the world are depleted as a result of overexploitation, which reduces stock productivity and results in loss of potential yields. In this study we analyzed the catch trends and approximate thresholds of sustainable fishing for fished stocks to estimate the potential loss of catch and revenue of global fisheries as a result of overexploitation during the period of 1950–2010 in 14 FAO fishing areas. About 35% of stocks in the global marine ocean have or had suffered from overexploitation at present. The global catch losses amounted to 332.8 million tonnes over 1950–2010, resulting in a direct economic loss of US$298.9 billion（constant 2005 US$）.Unsustainable fishing caused substantial potential losses worldwide, especially in the northern hemisphere.Estimated potential losses due to overfishing for different groups of resources showed that the low-value but abundant small-medium pelagics made the largest contribution to the global catch loss, with a weight of 265.0 million tonnes. The geographic expansion of overfishing not only showed serial depletion of world＇s fishery resources, but also reflected how recent trends towards sustainability can stabilize or reverse catch losses.Reduction of global fishing capacity and changes in fishery management systems are necessary if the long-term sustainability of marine fisheries in the world is to be achieved.

关键词： overfishing catch loss sustainability exploitation status

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