帕劳群岛附近海域延绳钓渔场大眼金枪鱼(Thunnus obesus)的环境偏好

2005年8—12月,利用金枪鱼延绳钓渔船对帕劳群岛附近海域进行调查,研究大眼金枪鱼的环境偏好。所获数据包括:①温度、盐度、溶解氧垂直分布,测定的钓钩深度;②作业参数;③渔场气象数据;④渔获统计数据。分析方法和步骤为:①应用逐步回归的方法,建立钓钩预测深度计算模型;②根据温度、盐度、溶解氧垂直分布曲线、预测深度、取样数据,利用统计和聚类分析的方法分析大眼金枪鱼的环境偏好。结果表明:①在帕劳群岛附近海域,大眼金枪鱼偏好的水层为180.0—219.9m、水温范围为11.0—12.9℃、盐度范围为34.50—34.99、溶解氧范围为3.00—3.99mg/L;②一般情况下,水温及其体温的变化决定成熟大眼金枪鱼的活动水层,其偏好的水温为10.0—14.0℃;③大眼金枪鱼的适盐性较广;④溶解氧高于门限值(0.8mg/L)时,大眼金枪鱼的分布由其它环境因子决定。     

Parameter estimation for basin-scale ecosystem-linked population models of large pelagic predators: Application to skipjack tuna

A Spatial Ecosystem and Population Dynamic Model (SEAPODYM) is used in a data assimilation study aiming to estimate model parameters that describe dynamics of Pacific skipjack tuna population on ocean-based scale. The model based on advection–diffusion–reaction equations explicitly predicts spatial dynamics of large pelagic predators, while taking into account data on several mid-trophic level components, oceanic primary productivity and physical environment. In order to improve its quantitative ability, the model was parameterized through assimilation with commercial fisheries data, and optimization was carried out using maximum likelihood estimation approach. To address the optimization task we implemented an adjoint technique to obtain an exact, analytical evaluation of the likelihood gradient. We conducted a series of computer experiments in order to (i) determine model sensitivity with respect to variable parameters and, hence, investigate their observability; (ii) estimate observable parameters and their errors; and (iii) justify the reliability of the computed solution. Parameters describing recruitment, movement, habitat preferences, natural and fishing mortality of skipjack population were analysed and estimated. Results of the study suggest that SEAPODYM with achieved parameterization scheme can help to investigate the impact of fishing under various management scenarios, and also conduct forecasts of a given species stock and spatial dynamics in a context of environmental and climate changes.     

High resolution micromill sampling for analysis of fish otoliths by ICP-MS: effects of sampling and specimen preparation on trace element fingerprints

Otoliths are calcified structures in the head of fish that record environmental information about fish's life history. Gathering the elemental information from the core of an otolith corresponding to the juvenile period of fish's life is critical to discriminate the adult fish to their natal habitats reliably. A high resolution micromill has been used to isolate the otolith core from a whole otolith for elemental analysis. The effects of micromilling procedures (e.g., sectioning, embedding and drilling) on contamination to otolith trace element levels were examined using paired blackfin tuna (Thunnus atlanticus) otoliths. Otoliths were decontaminated by dilute hydrogen peroxide and nitric acid throughout to remove surface contamination. A preconcentration procedure was used to determine the trace elements from the small core material by ICP-MS. It was found that micromilling procedures introduce significant contamination to otoliths, especially for Al, Cu, Pb and Zn. The sectioning procedure caused significant contamination for Co and Cu, while the embedding procedure resulted in contamination for nearly all trace elements (Al, Cd, Co, Cu, Ga, Mn, Ni, Pb, V and Zn). The combined sectioning, embedding and drilling procedure also resulted in contamination for most trace elements. Despite the contamination across all procedural steps, the decontamination procedure effectively removed the surface contamination with the exception of Pb and Zn. Bias (e.g., residual contamination) on Pb was small in comparison to overall concentration of Pb expected to occur in fish otoliths, therefore, its effect may be minor in discriminating individuals. Bias on Zn was larger that could limit its application in discriminating individuals.     

Reproductive Biology of Yeilowfin Tuna T. albacares in the West-Central Indian Ocean

Survey of yellowfin tuna in the west-central Indian Ocean was conducted on board of Chinese Iongliners during 2003, 2004 and 2005, which is a part of Chinese Tuna Fishery Scientific Observer Program (CTFSOP). The reproductive biology has been investigated. A total of 1023 samples are collected including 417 ovaries and 606 testes. Spawning activities of yellowfin tuna have been studied for both male and female from January to June. The data showed that the average monthly sex ratio is 0.59, and the minimum length at sexual maturity is 101 cm for female and 110 cm for male respectively. Length at 50% sexual maturity is esti- mated at 113.77 cm for female and 120.20 cm for male, whereas maturation rate is 0.066 cm-1 for female and 0.091 cm-1 for male. Sex ratio by length class indicates that the proportion of male is higher than female's along with size increasing; for instance, in the group of the body length longer than 145 cm, some females have their body length from 145 to 160 cm and males have their body length at 160 cm and even longer. Statistically, yellowfin tuna has a significant seasonal reproduction.     

南太平洋所罗门群岛海域黄鳍金枪鱼繁殖生物学研究

根据2012年9~12月所罗门群岛海域采集的353尾黄鳍金枪鱼Thunnus albacares样本,分析渔获物个体组成、性别比例、性成熟率和性腺指数等繁殖生物学参数。结果表明,捕获个体中包含大小两个群体;雌性群体个体规格明显小于雄性(p0.001)。春夏季9~12月雌、雄总体性别比为0.67︰1,显著偏离1︰1(p0.01);但性别比例与调查月份和个体大小密切相关,从9月到12月逐渐接近,至12月达到1︰1(p0.05)。性别比例随叉长增长逐步降低,叉长大于110cm个体中以雄性为主(p0.05),雌性比例与叉长呈现线性负相关关系,相关系数为-0.90,(p0.01)。雌、雄个体性成熟率和性腺指数在春末夏初间逐步增长,至11~12月达到最高;Ⅴ~Ⅵ期产卵个体比例增加,这表明所罗门群岛海域黄鳍金枪鱼春夏季存在产卵群体,从10月开始出现产卵个体,调查期间12月产卵个体比例达到相对最高,并且性腺指数与叉长呈现正相关关系;更一步的分析表明,雌、雄个体初次性成熟叉长分别为97.4cm和103.7cm。对该海域黄鳍金枪鱼繁殖生物学的研究有助于了解该种群资源状况,对渔业资源评估具有重要意义。     

基于空间自回归和空间聚类的渔情预报模型

作者针对远洋渔场渔情预报精度偏低的问题,提出一种基于空间自回归和空间聚类的渔情预报模型。该模型利用空间自回归对收集到的渔业历史数据进行预处理,然后通过空间聚类将所有数据样本根据地理位置分划成若干个区域,最后研究每个区域中环境数据与渔获数据之间的数学关系,各自建立栖息地适宜性指数模型(Habitat Suitability Index,HSI),并以印度洋大眼金枪鱼(Thunnus obesus)为例进行验证。结果表明,本模型的均方差为0.1742,与传统线性回归方法的均方差0.2363相比,能更好地表达海洋环境数据与渔获量之间的关系,预测精度显著提高。     

印度洋中西部大眼金枪鱼年龄与鱼体脂肪含量的关系

本文根据2012年10月—2013年3月在印度洋中西部海域金枪鱼延绳钓渔业调查所获得的样本,利用其脊椎骨鉴定了334尾大眼金枪鱼(Thunnus obesus)的年龄,并利用鱼类脂肪含量仪测定了其肌肉的脂肪含量,进而对年龄与脂肪含量的关系进行了研究。结果表明样本金枪鱼的特征如下:(1)年龄组成为1—9龄,其中4—6龄比例最大,约占样本总数的66.4%;(2)脂肪含量范围为3.1%—29.8%,平均为13.4%,优势范围在7.0%—17.0%之间,其中13.0%—17.0%的比例最高达51.4%;(3)通过比较不同年龄组的脂肪含量发现,鱼体脂肪含量1—3龄随年龄增加而下降。4—5龄脂肪含量较高,6龄急剧下降到最低,7—9龄又呈升高的趋势;(4)雌性和雄性大眼金枪鱼的新陈代谢变化无明显差异,雌性比雄性的性成熟年龄要早1年左右,雌性3—4龄时性成熟,而雄性为4—5龄时性成熟;(5)脂肪含量的变化可能与大眼金枪鱼生长、繁殖、衰老等过程中的新陈代谢变化相吻合。     

中西太平洋延绳钓黄鳍金枪鱼渔场时空分布与温跃层关系

为了解热带中西太平洋延绳钓黄鳍金枪鱼(Thunnus albacares)适宜的温跃层参数分布区间,采用Argo浮标温度信息和中西太平洋渔业委员会(The Western and Central Pacific Fisheries Commission,WCPFC)的黄鳍金枪鱼延绳钓渔获数据,绘制了热带中西太平洋月平均温跃层特征参数和月平均CPUE的空间叠加图,用于分析热带中西太平洋黄鳍金枪鱼中心渔场时空分布和温跃层特征参数间的关系。分析结果表明:热带中西太平洋温跃层上界深度、温度具有明显的季节性变化,而温跃层下界深度、温度季节性变化不明显,黄鳍金枪鱼中心渔场分布和温跃层季节性变化有关。全年中心渔场的位置分布在温跃层上界深度高值区域,随温跃层上界深度高值区域季节性南北移动。在新几内亚以东纬向区域(5°N~10°S,150°E~170°W)上界深度值全年都在70~100m之间,全年都是延绳钓黄鳍金枪鱼中心渔场。中心渔场上界温度多在26℃以上,但是在上界温度超过30℃区域,CPUE值较小。中心渔场主要分布在温跃层下界深度两条高值带之间区域,在温跃层下界深度超过300m和小于150m区域,CPUE值均偏低。中心渔场主要分布在下界温度低于13℃区域,下界温度超过17℃难以形成中心渔场。频次分析和经验累积分布函数计算其适宜温跃层特征参数分布,得出中西太平洋黄鳍金枪鱼适宜的温跃层上界温度和深度分别是27~29.9℃和70~109m;适宜的温跃层下界温度和深度分别是11~13.9℃和250~299m。文章初步得出中西太平洋黄鳍金枪鱼中心渔场温跃层各特征参数的适宜分布区间及季节变化特征,为我国金枪鱼实际生产作业提供技术支持。     

Second-guessing uncertainty: Scenario planning for management of the Indian Ocean tuna purse seine fishery

An important task of natural resource management is deciding amongst alternative policy options, including how interventions will affect the dynamics of resource exploitation. Yet predicting the behaviour of natural resource users in complex, changeable systems presents a significant challenge for managers. Scenario planning, which involves thinking creatively about how a socio-ecological system might develop under a set of possible futures, was used to explore uncertainties in the future of the Indian Ocean tuna purse seine fishery. This exercise stimulated thinking on how key social, economic and environmental conditions that influence fleet behaviour may change in the future, and how these changes might affect the dynamics of fishing effort. Three storylines were explored: an increase in marine protection, growing consumer preference for sustainable seafood, and depletion of tuna stocks. Comparing across several possible future scenarios, a number of critical aspects of fleet behaviour were identified that should be important considerations for fishery managers, but which are currently poorly understood. These included a switch in fishing practices, reallocation of effort in space, investment in new vessels and exit from the fishery. Recommendations for future management interventions in the Indian Ocean were offered, along with suggestions for research needed to reduce management uncertainty.     

Application of a Delay-difference model for the stock assessment of southern Atlantic albacore (Thunnus alalunga)

Delay-difference models are intermediate between simple surplus-production models and complicated age-structured models. Such intermediate models are more efficient and require less data than age-structured models. In this study, a delay-difference model was applied to fit catch and catch per unit effort(CPUE) data(1975–2011) of the southern Atlantic albacore(Thunnus alalunga) stock. The proposed delay-difference model captures annual fluctuations in predicted CPUE data better than Fox model. In a Monte Carlo simulation, white noises(CVs) were superimposed on the observed CPUE data at four levels. Relative estimate error was then calculated to compare the estimated results with the true values of parameters α and β in Ricker stock-recruitment model and the catchability coefficient q. α is more sensitive to CV than β and q. We also calculated an 80% percentile confidence interval of the maximum sustainable yield(MSY, 21756 t to 23408 t; median 22490 t) with the delay-difference model. The yield of the southern Atlantic albacore stock in 2011 was 24122 t, and the estimated ratios of catch against MSY for the past seven years were approximately 1.0. We suggest that care should be taken to protect the albacore fishery in the southern Atlantic Ocean. The proposed delay-difference model provides a good fit to the data of southern Atlantic albacore stock and may be a useful choice for the assessment of regional albacore stock.