有限数据渔业种群资源评估与管理——以小黄鱼为例

传统的渔业资源评估方法需以翔实的调查和渔业数据为基础,而现有的大多数种类面临着着渔获量、基础生物学、有效捕捞努力量等数据缺失问题,因此并不适合采用数据需求较高的模型进行评估和管理。面临着渔业资源衰退的严峻形势和渔获量限额管理的迫切要求,基于有限数据的评估方法和渔获量相关的管理方案正被越来越多的国家采用。本研究以东海小黄鱼(Larimichthys polyactis)种群为例,根据渔获量、自然死亡、消减率、生物学参数、开捕体长等数据,采用 54 种有限数据评估方法,模拟 3 种捕捞动态,对小黄鱼进行管理策略评价和资源评估。结果显示,以相对产量(relative yield, RY)不低于 50%、过度捕捞概率(probability of overfishing, POF)小于 50%,生物量低于最大可持续生物量的 10%(B<0.1BMSY)的概率小于 20%为风险控制水平,捕捞强度随机波动和增长情景下,分别有 6个管理方案(management procedures, MPs)满足既定管理目标;“一般型”和“增长型”捕捞强度情景下, 14个 MPs 满足管理目标。权衡分析 3 种捕捞动态下的 MPs, 50%FMSY 基准法(FMSYref50)可作为小黄鱼渔业最佳的管理方案, POF 介于 5.46%~6.70%, B<0.5BMSY概率介于 15.66%~22.73%,长期获得的相对产量介于 52%~100%;然而, FMSYref50确定的可接受生物学渔获量(acceptable biological catch, ABC)仅有 1.08×10^4 t,与当前产量相差较大。因此,考虑到降低捕捞强度为渔业管控的发展趋势,建议采用动态 F 比值法(DynF)为小黄鱼渔业管理方案,“下降型”捕捞强度情景下,POF为 37.84%, B<0.5BMSY概率为 38.63%,长期获得的相对产量为 84%, ABC为 4.03×10^4 t。根据敏感性分析,发现 DynF 评估的 ABC 对捕捞产量、资源丰度指数不敏感,而对自然死亡系数、最大可持续捕捞死亡系数与自然死亡系数比值(FMSY_M)和当前资源量均较为敏感,参数值增加会导致 ABC 增加,表明在开展渔业资源评估时需要着重提高这 3 种参数的准确性。     

利用贝叶斯动态产量模型评估印度洋长鳍金枪鱼资源状态

印度洋长鳍金枪鱼(Thunnusalalunga)的生物学信息相对较少,渔业数据存在较多问题,致使其资源评估结果仍存在较大的不确定性,从而影响了渔业管理的科学性。为此,本研究基于印度洋长鳍金枪鱼的渔业捕捞、标准化CPUE (catch per unit effort)数据及相关种群假设,利用贝叶斯动态产量模型对该种群进行了资源评估研究,结果显示:(1)渔获量的观测误差对模型参数估计、资源状态的判断及渔业管理具有重要影响,渔获量观测误差的增大使模型评估的过度捕捞概率上升,导致总可捕量(total allowable catch, TAC)减少;(2)动态产量模型形状参数、r的先验分布和资源丰度指数的选择均会影响资源评估的质量,本研究显示, Fox模型的资源评估结果比Schaefer模型的评估结果更合理,r先验分布范围的增大使模型评估的资源状态变好,使用西南海域标准化CPUE时的评估结果相对较好;(3)设置某些年份的资源量比例(φ、P2017)范围有助于提高数据缺乏下渔业资源评估的质量;(4)评估结果表明印度洋长鳍金枪鱼发生资源型与捕捞型过度捕捞的概率分别为34%、50%,两种过度捕捞同时...     

时滞差分模型与剩余产量模型的应用比较以南大西洋长鳍金枪鱼为例

将剩余产量模型和时滞差分模型分别应用于南大西洋长鳍金枪鱼（Thunnus alalunga）渔业数据,结果表明,比起剩余产量模型,时滞差分模型拟合的单位捕捞努力渔获量（catch per unit effort,CPUE）曲线能够更好地捕捉到CPUE随着时间的波动。赤池信息量准则（Akaike information criterion,AIC）的结果显示,时滞差分模型比Schaefer模型的评估效果要好。时滞差分模型评估的最大可持续产量（maximum sustainable yield,MSY）中值为22 490 t,80%置信区间为21 756~23 408 t;剩余产量模型评估的MSY中值为27 520 t,80%的置信区间为26 116~28 959 t。生物学参考点的结果表明目标群体在1985年以前资源状态较好;1985年~2005年的20年里处于过度捕捞状态;2005年后资源状况得到改善,但仍需加强管理。比起剩余产量模型,时滞差分模型给出了更为有效且保守的评估结果。     

基于贝叶斯Schaefer模型的西北太平洋秋刀鱼资源评估和管理

秋刀鱼(Cololabis saira)是西北太平洋温带海域的主要捕捞对象之一,也是西北太平洋渔业重要的组成部分。本研究根据北太平洋渔业委员会(NPFC)统计的2003～2017年渔获量数据以及中国秋刀鱼组织提交的单位捕捞努力渔获量数据(Catch per unit effort, CPUE),基于贝叶斯Schaefer剩余产量模型,分基准方案和敏感性分析方案对西北太平洋秋刀鱼资源状况进行了评估,并对其管理策略做了风险分析。结果显示,基准方案和敏感性分析方案下模型参数预测值以及生物学参考点估计值比较相近。在基准方案下,估算的最大可持续产量(Maximumsustainableyield,MSY)为75.26×10~4t,最大可持续产量的资源量BMSY为240.14×10~4t,此时的捕捞死亡率为0.32。在敏感性分析方案下,估算的最大的可持续产量MSY为70.03×104t,最大可持续产量的资源量BMSY为232.53×104t,此时的捕捞死亡率为0.31。该海域秋刀鱼资源状况良好,未经受过度捕捞。风险评估分析表明,为使秋刀鱼资源可持续利用,需将捕获率设定在0.3左右。     

捕捞数据不确定下蓝点马鲛渔业管理策略评估

蓝点马鲛是黄渤海的主要经济鱼种,在我国海洋渔业中占有重要地位,评估其资源水平和种群状态对于资源开发和管理具有重要意义。传统的渔业资源评估方法对数据有较高的要求,而目前我国蓝点马鲛渔业缺乏相关数据,特别是捕捞统计数据存在的问题尤为明显,其平均水平和变化趋势均存在很大的不确定性,统计上表现为观测数据的误差和偏差,对渔业评估和管理造成了障碍。本研究采用输出控制和输入控制两类共6种基于有限数据的渔业管理规程(MP)对蓝点马鲛进行了资源评估,针对捕捞观测数据的误差和偏差对这6种MP进行了不确定分析和管理策略评价。结果显示,输出控制MP中稳定捕捞法(CC4)、最大可持续剩余产量捕捞趋势法(SPMSY)和平均渔获量法(AvC)受到渔获量观测偏差和误差不同程度的影响,而时滞差分资源评估法(DD)对渔获量的不确定性响应相对较弱,更适用于蓝点马鲛等渔获量数据不确定性较大的渔业。根据敏感性分析发现该类MP对最大可持续生物量与未开发的生物量的比值、补充关系的陡度、最大可持续捕捞死亡率与自然死亡率的比值以及最大可持续捕捞死亡率等参数均较为敏感。而输入控制类MP最小体长法(minlen Lopt1)及75%捕捞努力量法(cur E75)对渔获量的不确定性响应不明显,对操控模型中各参数敏感程度较低。本研究指出输入控制MP不易受到观测误差和观测偏差的影响,而输出控制MP对观测误差有不同程度的响应。本研究使用管理策略评估综合比较两类MP,认为cur E75对于渔业资源的开发和保护两个方面有着最好的权衡。     

渔业数据失真对两种非平衡剩余产量模型评估结果的影响比较

为了研究渔业数据失真对两种非平衡剩余产量模型评估结果的影响,以南大西洋长鳍金枪鱼渔业产量和单位捕捞努力量渔获量(CPUE)数据作为基础数据,加入5种不同程度[变异系数(CV)=1%、5%、10%、20%和30%]的随机误差,模拟了(1)无数据失真,(2)仅产量数据失真,(3)仅CPUE数据失真,(4)产量和CPUE数据均失真等4种情况。利用基于ASPIC的非平衡剩余产量模型(ASM)和基于贝叶斯状态空间建模方法的非平衡剩余产量模型(BSM)分别评估了最大可持续产量(MSY)、B_(MSY)、F_(MSY)、B_(2011)/B_(MSY)、F2011/F_(MSY)等5种生物学参考点和管理指标。结果显示,在无数据失真情况下,ASM和BSM评估的MSY分别为2.866×10~4 t和2.836×10~4 t,B_(2011)/B_(MSY)分别为1.366和1.324,F2011/F_(MSY)分别为0.627和0.667,均相差不大,表明该渔业目前状态良好,ASM得到了较大的B_(MSY)(31.48×10~4 t)和较小的F_(MSY)(0.091);数据失真对ASM评估的B_(MSY)和F_(MSY)分别产生了严重的过低估计和过高估计,且CPUE数据失真产生的影响要比产量数据失真大;随着随机误差的增大,BSM评估的生物学参考点和管理指标的绝对百分比偏差有增大趋势;与ASM相比,BSM能够更好地处理渔业数据中存在的随机误差,除了MSY以外,BSM评估的生物学参考点和管理指标绝对百分比偏差均要比ASM的评估结果低,尤其是B_(MSY)和F_(MSY)。因此,在使用存在较大随机误差的渔业数据进行资源评估时,BSM具有一定的优势。     

鲐鱼的资源评估探讨及其不确定性分析

鲐鱼是中国近海重要的中上层经济鱼种,为准确理解当前资源状态和实现可持续利用,需要对其进行科学的渔业资源评估。文章利用中国渔业统计年鉴1979至2019年的渔获量和捕捞努力量数据,利用贝叶斯状态空间产量模型对鲐鱼进行评估,并通过敏感性分析探讨输入数据、模型参数等不确定性因素的影响。结果表明,当前最大可持续产量为46.5万t,资源有83%的概率处于健康状态,种群未遭受资源型和捕捞型过度捕捞(当前相对生物量水平B₂₀₁₉/B_MSY=1.160,当前相对捕捞死亡系数F₂₀₁₉/F_MSY=0.773)。敏感性分析中,种群参数内禀增长率和初始资源消耗率的先验分布基本不影响评估结果,而可捕系数恒定年增长对评估结果影响较大;数据方面,一定的渔获量误报率不影响对鲐鱼资源状态的判断,而捕捞努力量数据选择时应纳入海洋捕捞从业人数数据,以得到较合理结果。在中国近海鲐鱼的养护管理过程中,为提高资源评估结果的准确性并降低不确定性,需要着重关注渔获量数据的质量和捕捞努力量数据的选择。     

巴基斯坦海洋渔业资源可捕量评估与开发现状

基于巴基斯坦1950—2015年海洋渔业统计产量数据,利用Catch-MSY模型对巴基斯坦海洋渔业总可捕量以及24个重要经济类群的最大可持续产量(maximum sustainable yield, MSY)和可捕量进行了评估。结果显示,内禀增长率(r)先验分布对MSY的评估结果影响不大,巴基斯坦海洋渔业MSY为40.53×10~4 t,总可捕量为36.47×10~4 t。2015年海洋渔业产量为36.10×10~4 t,目前未处于过度捕捞状态。24个重要经济类群的评估结果显示,有8个类群(军曹鱼、魣类、石斑鱼类、鲳类、鲯鳅、宝刀鱼、马鲹和白带鱼) 2015年产量超过MSY,处于过度捕捞状态。当前巴基斯坦海洋渔业资源已处于充分开发状态,多数经济类群已处于过度捕捞状态或者崩溃后的恢复状态,开发潜力较小,建议开发阿拉伯海鸢乌贼(Sthenoteuthis oualaniensis)等大洋性渔业资源。     

基于单位补充量模型的西江赤眼鳟种群资源利用现状评价

赤眼鳟(Squaliobarbus curriculus)是珠江中下游最重要的经济鱼类之一,本研究利用2009—2014年西江肇庆江段渔业捕捞调查监测数据,分析了其生长和死亡参数历史变化,利用单位补充量渔获量(yieldperrecruitment,YPR)模型、单位补充量产卵群体生物量(spawning biomass per recruitment, SBR)和生物学参考点评估了赤眼鳟资源利用状况。结果表明,赤眼鳟体长(L)和体重(W)关系为W=2×10^-5L^2.9527(R^2=0.9595,n=2346),生长方程为L_t=725.802[1-e^{-0.110(t+0.613})]。目前西江的捕捞强度(F=0.96/a)和开发状况(E=0.86)远超种群可持续开发水平,赤眼鳟种群处于生长型捕捞过度状态。根据实际情况,建议将西江赤眼鳟开捕年龄提高至3龄(或开捕体长增大至238 mm),则预计单位补充量渔获量可增加175%,在珠江禁渔期制度的协同保护下,种群实际保护效果可能更好。     

巴基斯坦海洋渔业现状与合作开发对策分析

基于巴基斯坦1950—2015年海洋渔业统计产量数据,利用Catch-MSY模型对巴基斯坦海洋渔业总可捕量以及24个重要经济类群的最大可持续产量 (maximum sustainable yield, MSY) 和可捕量进行了评估。结果显示,内禀增长率(r)先验分布对MSY的评估结果影响不大,巴基斯坦海洋渔业MSY为40.53×10⁴ t,总可捕量为36.47×10⁴ t。2015年海洋渔业产量为36.10×10⁴ t,目前未处于过度捕捞状态。24个重要经济类群的评估结果显示,有8个类群 (军曹鱼、魣类、石斑鱼类、鲳类、鲯鳅、宝刀鱼、马鲹和白带鱼) 2015年产量超过MSY,处于过度捕捞状态。当前巴基斯坦海洋渔业资源已处于充分开发状态,多数经济类群已处于过度捕捞状态或者崩溃后的恢复状态,开发潜力较小,建议开发阿拉伯海鸢乌贼(Sthenoteuthis oualaniensis)等大洋性渔业资源。

     

Estimating fisheries reference points from catch and resilience

This study presents a Monte Carlo method (CMSY) for estimating fisheries reference points from catch, resilience and qualitative stock status information on data‐limited stocks. It also presents a Bayesian state‐space implementation of the Schaefer production model (BSM), fitted to catch and biomass or catch‐per‐unit‐of‐effort (CPUE) data. Special emphasis was given to derive informative priors for productivity, unexploited stock size, catchability and biomass from population dynamics theory. Both models gave good predictions of the maximum intrinsic rate of population increase r, unexploited stock size k and maximum sustainable yield MSY when validated against simulated data with known parameter values. CMSY provided, in addition, reasonable predictions of relative biomass and exploitation rate. Both models were evaluated against 128 real stocks, where estimates of biomass were available from full stock assessments. BSM estimates of r, k and MSY were used as benchmarks for the respective CMSY estimates and were not significantly different in 76% of the stocks. A similar test against 28 data‐limited stocks, where CPUE instead of biomass was available, showed that BSM and CMSY estimates of r, k and MSY were not significantly different in 89% of the stocks. Both CMSY and BSM combine the production model with a simple stock–recruitment model, accounting for reduced recruitment at severely depleted stock sizes.     

Examining the knowledge base and status of commercially exploited marine species with the RAM Legacy Stock Assessment Database

Meta‐analyses of stock assessments can provide novel insight into marine population dynamics and the status of fished species, but the world’s main stock assessment database (the Myers Stock‐Recruitment Database) is now outdated. To facilitate new analyses, we developed a new database, the RAM Legacy Stock Assessment Database, for commercially exploited marine fishes and invertebrates. Time series of total biomass, spawner biomass, recruits, fishing mortality and catch/landings form the core of the database. Assessments were assembled from 21 national and international management agencies for a total of 331 stocks (295 fish stocks representing 46 families and 36 invertebrate stocks representing 12 families), including nine of the world’s 10 largest fisheries. Stock assessments were available from 27 large marine ecosystems, the Caspian Sea and four High Seas regions, and include the Atlantic, Pacific, Indian, Arctic and Antarctic Oceans. Most assessments came from the USA, Europe, Canada, New Zealand and Australia. Assessed marine stocks represent a small proportion of harvested fish taxa (16%), and an even smaller proportion of marine fish biodiversity (1%), but provide high‐quality data for intensively studied stocks. The database provides new insight into the status of exploited populations: 58% of stocks with reference points (n = 214) were estimated to be below the biomass resulting in maximum sustainable yield (B_MSY) and 30% had exploitation levels above the exploitation rate resulting in maximum sustainable yield (U_MSY). We anticipate that the database will facilitate new research in population dynamics and fishery management, and we encourage further data contributions from stock assessment scientists.     

应用贝叶斯状态空间剩余产量模型框架评估印度洋大眼金枪鱼的资源状况

根据1950―2016年的渔获量数据及1955―2016年的单位捕捞努力量(Catch Per Unit Effort,CPUE)数据,采用贝叶斯状态空间剩余产量模型框架JABBA(Just Another Bayesian Biomass Assessment)对印度洋大眼金枪鱼(Thunnus obesus)的资源状况进行评估,分析了渔船效应、CPUE数据尺度对评估结果的影响。结果表明,模型拟合效果对于不同时间跨度下CPUE数据的选择比较敏感。当选用时间跨度为1979―2016年的CPUE数据且考虑渔船效应时,模型拟合效果最好。2016年大眼金枪鱼的资源量为812 kt,最大可持续产量(Maximum Sustainable Yield,MSY)为163 kt,远高于同年渔获量86.81 kt,其资源量具有82.50%的概率处于"健康"状态。当总允许可捕量为69.45～104.17 kt时(2016年渔获量的80%～120%),未来10年大眼金枪鱼的资源量仍高于B_(MSY)(达到MSY所需的生物量)。回顾性分析结果表明,该资源评估结果存在一定程度的回顾性问题,捕捞死亡率和资源量分别存在被低估和高估的现象。将来需要在模型结构设定、CPUE数据选择及模型参数的先验分布设置等方面进一步优化。     

Improving management advice through spatially explicit models and sharing information

Recent assessments of Chilean shrimp, Heterocarpus reedi, in central Chile have been conducted separately for the northern and southern zones of the fishery and treating them as two separate stocks. However, it is not clear whether H. reedi of the two zones interact with one another or whether they share similar characteristics. Such knowledge is necessary to determine whether they should be modeled as separate “stocks” or as a single stock. This has motivated the use of the Pella–Tomlinson model to test whether there are spatial differences in the population dynamics of H. reedi in the two zones and whether sharing information between the zones improves management advice. We test if it is better, from a stock assessment point of view, to model the stock as one unit in the whole area, or as two separate stocks. In the single-stock model, we sum the catch data of both zones, but each catch-per-unit-of-effort index is fit as a separate data set, using a joint likelihood. Under the single-stock hypothesis, the best model fit was the symmetric production function (i.e. the Schaefer model for which the biomass that supports maximum sustainable yield as a proportion of carrying capacity (B_MSY/B₀) = 0.5), with different catchability coefficients for each CPUE index, but a shared standard deviation of the log-normal likelihood function. Under the two-stock hypotheses, both catch and CPUE data were separated for each zone in the model. In this case, the best model fit is also the one with symmetrical production curve, and the only parameter that differed between the zones was B₀. However, B₀ per unit of habitat was similar for the two zones. Also, the precision of estimated management quantities was improved by modeling the appropriate spatial structure and sharing information among zones. The results suggest that the demographic parameters are similar for the two zones. It appears that the main difference between the two zones is the exploitation history, with the catch in the southern zone being reduced earlier than in the northern zone and consequently the biomass in the southern zone increased earlier than in the northern zone. This implies that local depletion can occur in this stock and that differences in management among zones may require explicitly modeling sub-stocks in the assessment of this and other species.     

Assessing the state of Greek marine fisheries resources

Annual fish landings for the Greek seas were analysed for the period 1982–2007 and classified into exploitation categories based on a catch‐based stock classification method. In 2007, about 65% of the Greek stock were characterised as overfished, 32% as fully exploited and only 3% were characterised as developing; collapsed stocks were not recorded. The cumulative percentage of fully exploited and overfished stocks has been increasing over the past 20 years suggesting overexploitation of resources. The results were contrasted against total landings, the fishing‐in‐balance index (FiB) and fishing effort, and some irregularities on the dataset were explained based on current legislation and management measures. A positive correlation between FiB and total fishing effort confirmed the expansion of the Greek fisheries up to 1994, but contraction thereafter. The results suggest that the apparently stable overall catches and decreasing effort may be deceiving, as they hide an underlying pattern of overexploitation in some of the stocks. It was concluded that the Greek fisheries are no longer sustainable and radical management measures are needed.     

Integrating recreational fisheries data into stock assessment: implications for model performance and subsequent harvest strategies

Understanding the impacts of recreational fishing on commercially fished stocks is becoming increasingly relevant for fisheries managers. However, data from recreational fisheries are not commonly included in stock assessments of commercially fished stocks. Simulation models of two assessment methods employed in Australia's Commonwealth fisheries were used to explore how recreational fishery data can be included, and the likely consequences for management. In a data‐poor management strategy for blue eye trevalla, Hyperoglyphe antarctica (Carmichael), temporal trends in recreational catch most affected management outcomes. In a data‐rich age‐structured stock assessment for striped marlin, Kajikia audax (Philippi), estimates of stock status were biased when recreational catches were large or when the recreational fishery targeted different size classes than the commercial fishery and these data were not integrated into the assessment. Including data from recreational fishing can change perceptions of stock status and impact recommendations for harvest strategies and management action. An understanding of recreational fishery dynamics should be prioritised for some species.     

Rebuilding Mediterranean fisheries: a new paradigm for ecological sustainability

In Mediterranean European countries, 85% of the assessed stocks are currently overfished compared to a maximum sustainable yield reference value (MSY) while populations of many commercial species are characterized by truncated size‐ and age‐structures. Rebuilding the size‐ and age‐structure of exploited populations is a management objective that combines single species targets such as MSY with specific goals of the ecosystem approach to fisheries management (EAF), preserving community size‐structure and the ecological role of different species. Here, we show that under the current fishing regime, stock productivity and fleet profitability are generally impaired by a combination of high fishing mortality and inadequate selectivity patterns. For most of the stocks analysed, a simple reduction in the current fishing mortality (F_cur) towards an MSY reference value (F_MSY), without any change in the fishing selectivity, will allow neither stock biomass nor fisheries yield and revenue to be maximized. On the contrary, management targets can be achieved only through a radical change in fisheries selectivity. Shifting the size of first capture towards the size at which fish cohorts achieve their maximum biomass, the so‐called optimal length, would produce on average between two and three times higher economic yields and much higher biomass at sea for the exploited stocks. Moreover, it would contribute to restore marine ecosystem structure and resilience to enhance ecosystem services such as reservoirs of biodiversity and functioning food webs.     

适用于数据缺乏渔业的资源评估方法研究进展

开展渔业资源评估研究是制定渔业可持续发展策略的重要前提,而数据有限是全球渔业资源评估面临的普遍挑战.传统资源评估方法具有数据需求量大、要求高等特点,无法应用于数据缺乏渔业的资源评估中.数据缺乏方法(data-limited method)可结合少量易获得数据和相关历史生物学信息对渔业资源状况、生物学参考点以及资源量等进...     

以有限数据评估方法为基础的海州湾渔业管理策略评估

实验以计算机模拟的管理策略评价方法为基础,以海州湾海域的银鲳、小黄鱼、大泷六线鱼和长蛇鲻为例,对基于数据有限方法的管理策略进行了分析评价。模拟结果显示,基于体长的管理策略能够在产量和避免过度捕捞间取得较好的权衡,其管理效果优于基于捕捞努力量的管理策略。模拟结果显示,银鲳和大泷六线鱼处于过渡捕捞状态;小黄鱼种群规模具有较大波动和不确定性;长蛇鲻种群未遭受过度捕捞。研究表明,基于有限数据评估方法的管理策略可以有效避免潜在的过度捕捞,提升遭受过度捕捞群体的产卵群体生物量规模,具有较好的可持续性,并能维持可观的产量,在我国具有广泛的运用前景。     

澳洲鲭太平洋群系的资源评估与管理策略

澳洲鲭是西北太平洋重要的经济种类,了解和掌握澳洲鲭太平洋群系资源开发状况对确保其可持续利用具有重要的意义。根据日本中央水产研究所提供的1995—2015年澳洲鲭太平洋群系的生产统计和资源调查资料,利用基于年龄结构的实际种群模型和单位补充量产量模型等进行资源量评估,分析澳洲鲭太平洋群系资源利用情况及其管理策略。结果显示,历年澳洲鲭太平洋群系资源量虽有波动但仍保持在较高水平,2015年资源量最高约为65万t;年平均捕捞死亡系数呈波动下降趋势,2015年捕捞死亡系数只有0.15,近五年平均捕捞死亡系数Fcur=0.33,单位补充量亲体量是未开发时的32.7%,不存在生长型捕捞过度,也不存在补充型捕捞过度,处于可持续开发状态。研究还探讨了水温变化引起自然死亡波动以及不同开捕年龄对澳洲鲭太平洋群系资源状况的影响。研究表明,该渔业目前开发和利用程度合理,建议使用F0.1做为管理参考点进行渔业资源的管理。