印度洋长鳍金枪鱼资源评估的影响因素分析

多个模型被用于印度洋长鳍金枪鱼(Thunnus alalunga)的资源评估,但这些模型的评估结果均存在较大的不确定性,为此,本文对影响印度洋长鳍金枪鱼资源评估的因素进行了分析。分析结果认为:(1)由于渔业数据存在不报、漏报或混报及采样样本数过低、采样协议出现变化等问题,造成印度洋长鳍金枪鱼渔业的渔获量、体长组成或年龄组成数据存在质量问题;(2)尽管对单位捕捞努力渔获量(catch per unit effort,CPUE)进行了标准化,但目标鱼种变化及捕捞努力量空间分布变化仍严重影响了标准化CPUE数据的质量;(3)印度洋长鳍金枪鱼的种群生态学及繁殖生物学研究仍比较薄弱,种群结构、繁殖、生长、自然死亡信息比较缺乏,在资源评估中,相关参数设置需借用其他洋区的研究结果;(4)海洋环境对印度洋长鳍金枪鱼的资源变动与空间分布具有显著影响,但评估模型较少考虑海洋环境的影响。由于上述问题的存在,导致当前评估结果存在较大不确定性。未来,应继续探索提高资源评估质量的方法,同时研究建立管理策略评价框架,以避免渔业资源评估结果的不确定性对该渔业可持续开发的影响。     

南太平洋长鳍金枪鱼垂直活动水层空间分析

为了解南太平洋长鳍金枪鱼(Thunnus alalunga)的垂直活动水层分布特征及其适宜的垂直活动水层深度,采用Argo 数据重构了研究海域次表层20 ℃和25 ℃等温线深度场, 并结合2010年～2012年中水集团南太平洋长鳍金枪鱼延绳钓渔船实际生产统计数据, 绘制了20 ℃和25 ℃等温线深度与长鳍金枪鱼单位捕捞努力量渔获量(CPUE) 叠加图, 分析南太平洋长鳍金枪鱼的垂直活动水层分布特征。结果表明, 研究海域20 ℃和25 ℃等温线深度存在明显的季节性变化, 且长鳍金枪鱼渔场时空分布随着20℃等温线深度的220 m等深线和25℃等温线深度的140 m等深线时空变动而季节性南北移动。长鳍金枪鱼中心渔场主要分布于10S 以南、160E～175E之间, 中心渔场所处海域, 其20 ℃等温线深度多在220 m以深, 超过250 m的海域CPUE 均偏低; 25 ℃等温线深度多在140 m以浅, 浅于80 m的海域则难以形成中心渔场。采用频次分析与经验累积分布函数( ECDF) 相结合的方法, 计算出南太平洋长鳍金枪鱼适宜的垂直活动水层深度为88～238 m。文章初步得出了南太平洋长鳍金枪鱼的垂直分布特征及其适宜的垂直活动水层深度, 可用于指导延绳钓投钩深度, 为中国南太平洋长鳍金枪鱼延绳钓生产作业提供理论参考。     

Migration of albacore, Thunnus alalunga, in the North Pacific Ocean in relation to large oceanic phenomena

On the basis of Japanese long-line fishery data during 1970–1988, anticlockwise migration routes of albacore in the North Pacific are newly proposed. The annual migration route for mature albacore is described as a closed ellipse with a centre at 20°N and 170°E, and is wider in El Niño years than non-El Niño years associated with an appearance of a cold-water region in the central and south-western North Pacific. Immature albacore also have an anticlockwise migration route in winter which extends from 25°N to 35°N and from 130°E to 180°E, when the Kuroshio has a relatively straight path. However, the migration does not persist when the Kuroshio takes a large meander path.     

Migration and behavior of juvenile North Pacific albacore (Thunnus alalunga)

Archival tags were used to study the seasonal movements, migration patterns and vertical distribution of juvenile North Pacific albacore (Thunnus alalunga). Between 2001 and 2006, archival tags were deployed in North Pacific albacore in two regions of the Northeast Pacific: (i) off Northern Baja California, Mexico and Southern California, and (ii) off Washington and Oregon. Twenty archival tagged fish were recovered with times at liberty ranging from 63 to 697 days. Tagged albacore exhibited five distinct, seasonal migratory patterns. Depth and temperature data also showed a broad range of vertical behaviors. In certain regions such as off Baja California, Mexico, juvenile albacore make frequent dives to depths exceeding 200 m during the day and remain in the surface mixed layer at night, whereas off Oregon and Washington they remain near the surface both day and night. Water temperatures encountered ranged from 3.3 to 22.7°C. Peritoneal temperatures were significantly higher by an average of approximately 4°C, as expected in these warm‐bodied fish. This study provides a comprehensive examination of horizontal and vertical movements of juvenile albacore in the Northeast Pacific. The results reveal diverse behavior that varies regionally and seasonally as albacore move among different habitats throughout the entire North Pacific.     

A study on the variability of albacore (Thunnus alalunga) longline catch rates in the southwest Pacific Ocean

Relationships between albacore tuna (Thunnus alalunga) longline catch per unit effort (CPUE) and environmental variables from model outputs in New Caledonia’s Exclusive Economic Zone (EEZ) were examined through generalized linear models at a 1° spatial resolution and 10‐day temporal resolution. At a regional (EEZ) scale, the study demonstrated that a large part of albacore CPUE variability can be explained by seasonal, interannual and spatial variation of the habitat. Results of the generalized linear models indicated that catch rates are higher than average in the northwestern part of the EEZ at the beginning of the year (January) and during the second half of the year (July–December). In the northwestern region of the EEZ, high CPUEs are associated with waters <20.5° in the intermediate layer and with moderate values of primary production. Longline CPUE also appeared to be dependent on prey densities, as predicted from a micronekton model. Albacore CPUE was highest at moderate densities of prey in the epipelagic layer during the night and for relatively low prey densities in the mesopelagic layer during the day. We also demonstrated that the highest CPUEs were recorded from 1986 to 1998, which corresponds to a period with frequent El Niño events.     

Albacore (Thunnus alalunga) fishing ground in relation to oceanographic conditions in the western North Pacific Ocean using remotely sensed satellite data

Satellite‐based oceanographic data of sea surface temperature (SST), sea surface chlorophyll‐a concentration (SSC), and sea surface height anomaly (SSHA) together with catch data were used to investigate the relationship between albacore fishing ground and oceanographic conditions and also to predict potential habitats for albacore in the western North Pacific Ocean. Empirical cumulative distribution function and high catch data analyses were used to calculate preferred ranges of the three oceanographic conditions. Results indicate that highest catch per unit efforts (CPUEs) corresponded with areas of SST 18.5–21.5°C, SSC 0.2–0.4 mg m^?3, and SSHA ?5.0 to 32.2 cm during the winter in the period 1998–2000. We used these ranges to generate a simple prediction map for detecting potential fishing grounds. Statistically, to predict spatial patterns of potential albacore habitats, we applied a combined generalized additive model (GAM) / generalized linear model (GLM). To build our model, we first constructed a GAM as an exploratory tool to identify the functional relationships between the environmental variables and CPUE; we then made parameters out of these relationships using the GLM to generate a robust prediction tool. The areas of highest CPUEs predicted by the models were consistent with the potential habitats on the simple prediction map and observation data, suggesting that the dynamics of ocean eddies (November 1998 and 2000) and fronts (November 1999) may account for the spatial patterns of highest albacore catch rates predicted in the study area. The results also suggest that multispectrum satellite data can provide useful information to characterize and predict potential tuna habitats.     

Oceanographic investigation of the American Samoa albacore (Thunnus alalunga) habitat and longline fishing grounds

The American Samoa fishing ground is a dynamic region with strong mesoscale eddy activity and temporal variability on scales of <1 week. Seasonal and interannual variability in eddy activity, induced by baroclinic instability that is fueled by horizontal shear between the eastward‐flowing South Equatorial Counter Current (SECC) and the westward‐flowing South Equatorial Current (SEC), seems to play an important role in the performance of the longline fishery for albacore. Mesoscale eddy variability in the American Samoa Exclusive Economic Zone (EEZ) peaks from March to April, when the kinetic energy of the SECC is at its strongest. Longline albacore catch tends to be highest at the eddy edges, while albacore catch per effort (CPUE) shows intra‐annual variability with high CPUE that lags the periods of peak eddy activity by about 2 months. When CPUE is highest, the values are distributed toward the northern half of the EEZ, the region affected most by the SECC. Further indication of the possible importance of the SECC for longline performance is the significant drop in eddy variability in 2004 when compared with that observed in 2003 – resulting from a weak SECC – which was accompanied by a substantial drop in albacore CPUE rates and a lack of northward intensification of CPUE. From an ecosystem perspective, evidence to support higher micronekton biomass in the upper 200 m at eddy boundaries is inconclusive. Albacore's vertical distribution seems to be governed by the presence of prey. Albacore spend most of their time between 150 and 250 m, away from the deep daytime and shallow nighttime sonic scattering layers, at depths coinciding with those of small local maxima in micronekton biomass whose backscattering properties are consistent with those of albacore's preferred prey. Settling depths of longline sets during periods of decreased eddy activity correspond to those most occupied by albacore, possibly contributing to the lower CPUE by reducing catchability through rendering bait less attractive to albacore in the presence of prey.     

印度洋东部黄鳍金枪鱼的渔业生物学

根据在印度洋东部海域的延绳钓生产实践 ,对所渔获的黄鳍金枪鱼 (Thunnus albacares)群体的构成、繁殖等基本生物学特征进行了初步探讨。结果显示 ,渔获黄鳍金枪鱼纯重范围为 10～75 kg,叉长范围为 80～ 15 0 cm,纯重、叉长关系为 W=1.5 2 7× 10 -5L3,渔获构成月间变化明显 ,不同年龄个体性成熟与繁殖节律差异显著     

Environmental preferences of longlining for yellowfin tuna (Thunnus albacares) in the tropical high seas of the Indian Ocean

A survey of yellowfin tuna, Thunnus albacares , fishing ground was carried out on board of the Chinese longliners from September 15 to December 12, 2005 in the tropical high seas of the Indian Ocean. The depth at which each yellowfin tuna was hooked was estimated using a stepwise regression analysis of theoretical hook depth and observed average hook depth measured using a temperature depth recorder. Water temperature, salinity, chlorophyll  a , dissolved oxygen and thermocline, which are important variables influencing yellowfin tuna habitats, were measured in the survey. Catch rates of yellowfin tuna were then analyzed with respect to depth, temperature, salinity, chlorophyll  a , dissolved oxygen and thermocline. We suggest that the optimum ranges of swimming depth, water temperature, chlorophyll  a and dissolved oxygen concentration for yellowfin tuna are 100.0–179.9 m, 15.0–17.9°C, 0.090–0.099  μ g L⁻¹, 2.50–2.99 mg L⁻¹, respectively; that salinity has less influence on the vertical distribution of adult yellowfin tuna; and that yellowfin tuna are mainly distributed within the thermocline in the high seas of the Indian Ocean. Our results match the yellowfin tuna's vulnerability to deep longline fishing gear well.     

南太平洋长鳍金枪鱼延绳钓渔获率与环境因子的关系研究

为掌握不同水层的环境因子对长鳍金枪鱼(Thunnus alalunga)延绳钓渔获率的影响,根据2015-2017年中国大陆在该海域的长鳍金枪鱼延绳钓渔捞日志资料,结合同期海洋环境数据,采用广义可加模型(Generalized additive model,GAM)对渔获率与各因子的关系进行研究。通过相关分析获取各环境因子相关系数,对相关性较大的环境因子分组建模。结果表明:1)海表面温度与120 m水深温度、海表面温度与海表面高度、120 m水深温度与海表面高度、300 m水深温度与300 m水深盐度为高度相关因子,海表面盐度、叶绿素a浓度、海表风场南北分量与其他环境因子之间的相关性均较小;2)模型的总解释偏差介于30%~40%,各环境因子重要性依次为120 m水深温度、海表温度、300 m水深温度、120 m水深盐度、海表面高度、300 m水深盐度、海表盐度、混合层深度、海面风场南北分量、海面风场东西分量、叶绿素a浓度;3)120 m水深温度与单位捕捞努力渔获量(CPUE)在15~30℃呈负相关。海表温度整体趋势与120 m水深温度类似,其中在25~28℃呈正相关。300 m水深温度与CPUE在10~18℃呈现明显的正效应关系。     

运用生物量动态模型评估印度洋长鳍金枪鱼资源

印度洋金枪鱼延绳钓渔业是我国远洋渔业的重要组成部分,海洋不同深度的水温影响到长鳍金枪鱼 (Thunnus alalunga) 延绳钓渔获率。文章利用2008—2017年延绳钓生产作业数据,并结合Argo浮标水温数据,采用广义加性模型 (Generalized additive model, GAM) 分析长鳍金枪鱼空间分布与不同深度水温之间的关系。结果表明,海表面 (0 m)、200和400 m 3个水层的温度显著影响长鳍金枪鱼的空间分布,最优的GAM模型对渔获率 (单位捕捞努力量渔获量,Catch per unit effort, CPUE) 的方差解释率为53.3%,模型拟合的决定系数为0.527。长鳍金枪鱼渔获率与所选取的3个水层温度均呈非线性关系,高渔获区集中分布于17~30 ℃的表层海域,17~20 ℃的200 m层海域,9~15 ℃的400 m层海域,以及他们的交集海线。文章初步得出了南印度洋长鳍金枪鱼空间分布与水深断面温度的关系,可为指导长鳍金枪鱼的合理生产提供技术支撑。     

印度洋长鳍金枪鱼资源评估

本研究运用年龄结构资源评估模型ASAP,利用最新的渔业数据和生物学研究成果,对印度洋长鳍金枪鱼资源进行了评估。结果显示,主要资源变量捕捞死亡系数(F)、产卵亲体生物量(SSB)和生物学参考点受亲体-补充量关系的陡度参数(h)的影响很大。假设陡度参数h=0.7、0.8、0.9时,最大持续产量(MSY)分别为25 268t、27 414t、51 924t,当前(2010年初)F与FMSY之比分别为2.85、2.32、1.11,当前渔获量与MSY之比分别为1.65、1.52、0.80。1984年以来,F总体处于上升趋势,SSB处于下降趋势。基本模型条件下(h=0.8),当前资源状况为"趋向于过度捕捞"(Overfishing),且已接近于"过度捕捞"(Overfished)。若h=0.7、h=0.9,当前资源状况分别为"捕捞过度"、"趋向于过度捕捞"。     

印度洋中南部大眼金枪鱼生物学特性研究

根据2008年9月~2009年4月在印度洋中南部金枪鱼延绳钓渔场调查期间收集的大眼金枪鱼生物学数据,对其基本的生物学特征进行了研究。结果表明:(1)叉长范围为57~184 cm,优势叉长组为101~110cm和121~130 cm,约占总数的41.7%,平均叉长为119.5 cm;(2)不分性别大眼金枪鱼叉长(FL)与加工后重(DW)的关系可表达为:DW=2.407 6×10-5FL2.931 6,雌雄个体差异不显著(F=0.207,P0.05);(3)调查期间,大眼金枪鱼雄性比例为56.55%,当叉长大于140 cm时,雄性占优势;调查期间,该海域大眼金枪鱼的繁殖期为10月~翌年4月,繁殖峰期为10月~翌年1月;(4)摄食种类中柔鱼、帆蜥鱼和虾类所占比重较高,分别占36.0%、20.1%和18.0%;各月份摄食等级1~4级分布呈显著性差异(χ2=191.20,P0.01),各叉长组大眼金枪鱼摄食等级变化无显著性差异(χ2=41.08,P0.05)。     

印度洋南部大眼金枪鱼年龄鉴定及其与生长的关系

为了对大眼金枪鱼(Thunnus obesus)种群结构和年龄生长做出判断,从而进行有效的资源评估和管理,需要一种简便、可行、精确的年龄鉴定方法。根据2008年9月至2009年5月在印度洋中南部执行专项调查时采集的275枚第一背鳍鳍条样本,确立了最适的切割位置和年龄鉴定方法,并通过年龄鉴定估算大眼金枪鱼的von Berta-lanffy生长方程。研究结果表明,大眼金枪鱼的叉长范围为570～1 820 mm,优势叉长组为910～1 500 mm,占总体的83.9%;年龄组成以3、4和5龄居多;第1、2条年轮轮径的平均值分别为(4.23±0.71)mm和(5.72±0.48)mm。根据鳍条的切割位置分为3个组别,线性回归关系为拟合大眼金枪鱼鳍条半径与叉长关系的最佳回归方程,3个组别在鉴定大眼金枪鱼年龄时不存在显著差异(P>0.05),但赤井信息量标准(AIC)分析结果表明,自骨突处起,全长(L)的10%处为最佳切割位置。大眼金枪鱼von Bertalanffy生长方程为Lt=250.5×[1 e 1.05(t+1.85)]。     

Feeding habits of albacore Thunnus alalunga in the transition region of the central North Pacific

ABSTRACT:   The feeding habits of albacore Thunnus alalunga (fork length: 48.9–76.2 cm, n  = 132) were examined from late spring to early autumn in relation to its northward migration in the transition region between the subtropical and subarctic fronts in the central North Pacific. Samples were collected at night using surface gill nets or during daytime pole-and-line surveys in 2001 and 2002. During May and June, albacore fed mainly on Japanese anchovy Engraulis japonicus , which accounted for 27.2%, 67.0%, and 45.5% of the total stomach contents by number ( Cn ), wet weight ( WW ), and frequency of occurrence ( F ), respectively, and secondarily on the subarctic gonatid squid Gonatopsis borealis ( Cn , 15.8%; WW , 10.8%; F , 28.8%). From July to September, albacore continued to depend on Japanese anchovy ( Cn , 48.2–52.8%; WW , 79.9–95.2%; F , 27.8–85.4%). These results corresponded well with the remarkable rebound of the Japanese anchovy stock since the 1990s. Gonatopsis borealis , the main squid prey from May to June, almost disappeared from the stomachs of albacore from July to September, probably due to the northward migration of this squid to subarctic waters in summer. The feeding impact of albacore on the Japanese anchovy stock in the transition region was conservatively estimated to be from 1400 to 2100 tons per day from late spring to early autumn.     

大西洋海域大眼金枪鱼年龄与生长的初步研究

根据2001年6~10月在大西洋海域金枪鱼延绳钓渔业中采集的89 ind大眼金枪鱼样本,对其叉长、体重进行测定,并以脊椎骨作为年龄鉴定材料。结果表明,叉长组成为85~186 cm,体重组成为11.5~132.5kg,年龄为2~6龄。体重与叉长关系式为W=4.5026×10-5×FL2.8200。利用一般Von Bertalanffy生长方程来拟合,叉长和体重生长方程为:FL=257.90×(1-e-0.1960(t+3.7919))2.5933,Wt=284.28×[(1-e-0.1960(t+3.7919))2.5933]2.8200。叉长和体重的生长拐点分别为1.07龄和5.75龄。     

Plasticity in vertical behaviour of migrating juvenile southern bluefin tuna (Thunnus maccoyii) in relation to oceanography of the south Indian Ocean

Electronic tagging provides unprecedented information on the habitat use and behaviour of highly migratory marine predators, but few analyses have developed quantitative links between animal behaviour and their oceanographic context. In this paper we use archival tag data from juvenile southern bluefin tuna ( Thunnus maccoyii , SBT) to (i) develop a novel approach characterising the oceanographic habitats used throughout an annual migration cycle on the basis of water column structure (i.e., temperature-at-depth data from tags), and (ii) model how the vertical behaviour of SBT altered in relation to habitat type and other factors. Using this approach, we identified eight habitat types occupied by juvenile SBT between the southern margin of the subtropical gyre and the northern edge of the Subantarctic Front in the south Indian Ocean. Although a high degree of variability was evident both within and between fish, mixed-effect models identified consistent behavioural responses to habitat, lunar phase, migration status and diel period. Our results indicate SBT do not act to maintain preferred depth or temperature ranges, but rather show highly plastic behaviours in response to changes in their environment. This plasticity is discussed in terms of the potential proximate causes (physiological, ecological) and with reference to the challenges posed for habitat-based standardisation of fishery data used in stock assessments.     

热带印度洋大眼金枪鱼垂直分布空间分析

为了解热带印度洋大眼金枪鱼(Thunnus obesus)适宜的垂直和水平空间分布范围,采用Argo浮标剖面温度数据重构热带印度洋10℃、12℃、13℃和16℃月平均等温线场,网格化计算了12℃、13℃等温线深度值和温跃层下界深度差,并结合印度洋金枪鱼委员会(IOTC)大眼金枪鱼延绳钓渔业数据,绘制了12℃、13℃等温线深度与月平均单位捕捞努力渔获量(CPUE)的空间叠加图,用于分析热带印度洋大眼金枪鱼中心渔场 CPUE 时空分布和高渔获率水温的等温线时空分布的关系.结果表明,从垂直分布来看,热带印度洋中心渔场延绳钓高渔获率区域垂直分布在温跃层下界以下,在表层以下150~400 m 深度区间.从水平分布来看,12℃等温线,高 CPUE 区域大多深度值<350 m,众数为225~350 m;深度值超过500 m的区域CPUE普遍较低.13℃等温线,高值CPUE出现的地方大多深度值<300 m,众数为190~275 m;深度值超过400 m的区域CPUE普遍较低.全年在15oS以北区域,高渔获率的垂直分布深度更加集中.采用频次分析和经验累积分布函数,计算其最适次表层环境因子分布,12℃等温线250~340 m;13℃等温线190~270 m;12℃深度差30~130 m;13℃深度差0~70 m.研究初步得出热带印度洋大眼金枪鱼中心渔场适宜的水平、垂直深度值分布区间,可以辅助寻找中心渔场位置,同时指导投钩深度,为热带印度洋金枪鱼实际生产作业和资源管理提供理论支持.     

渔获量不确定性对印度洋大眼金枪鱼资源评估的影响

大眼金枪鱼(Thunnus obesus)是最具经济价值的热带金枪鱼类,其资源状况一直是区域性金枪鱼渔业管理组织关注的重点。由于多种渔业作业、捕捞船队构成复杂,印度洋大眼金枪鱼的历史渔获量统计存在一定的偏差(Bias),但国际上近些年开展资源评估时都忽略了这一偏差。本研究根据1979~2015年的年渔获量、年龄结构渔获量及相对丰度指数数据,运用年龄结构资源评估模型(ASAP)对印度洋大眼金枪鱼资源进行评估,重点考查渔获量的不确定性(观测误差和统计偏差)对资源评估结果的影响。结果显示,印度洋大眼金枪鱼当前资源总体没有过度捕捞,但2015年初显示轻微的过度捕捞,通过对比基础模型与8个灵敏度分析模型的评估结果发现,渔获量观测误差(CV)的预设对资源开发状态的判断有一定的影响。当渔获量统计偏差调整量为15%时(即历史渔获量被低估了),评估结果与基础模型基本一致;统计偏差调整量为20%时,评估结果有过度捕捞的趋势。本研究结果表明,资源评估模型中渔获量观测误差的设定和历史渔获量统计偏差均会对评估结果产生影响,后者更为明显,因此,二者均不能忽略。     

印度洋中西部大眼金枪鱼繁殖生物学的初步研究

根据2003年1~6月由中国农业部渔业局资助项目收集的渔业观察员数据和2004年1~6月印度洋中西部海域中国金枪鱼延绳钓生产调查数据,对所捕获的大眼金枪鱼繁殖生物学特征进行了初步研究。结果表明,渔获中性比均值为0.8,各月间的性比差异不显著。叉长小于85 cm或大于185cm时,渔获个体均为雄性;叉长为85~170 cm时,性比约为1.0。各月份大眼金枪鱼雌雄个体的性腺指数变动基本上保持一致,性腺指数随着月份增加而呈下降趋势。