基于改进ConvLSTM网络太平洋长鳍金枪鱼时空分布趋势预测     

杜艳玲  马玉玲  汪金涛  陈珂  林泓羽  陈刚 《海洋通报》2024,(2)

渔场资源与位置的变动由空间与环境因子共同驱动,远洋渔场时空演变信息的精准预测是远洋捕捞的关键支撑。该研究考虑渔业生产统计数据,并兼顾同期海洋环境数据包括海表面温度（Sea surface temperature, SST）、海表面盐度（Sea surface salinity, SSS）、初级生产力（primary productivity, PP）和溶解氧浓度（dissolved oxygen concentration, O2）,提出了一种融合卷积长短期记忆网络（ConvLSTM）和卷积神经网络（CNN）的渔场时空分布预测模型。首先对时空因子进行编码,提取高层时空特征;其次采用CNN提取海洋环境变量的抽象特征,并基于ConvLSTM提取渔业数据的时空特征,最后融合高层时空关联信息对渔场时空演变趋势进行预测。以1995－2018年太平洋海域的延绳钓生产数据对模型进行验证,模型的根均方误差为0.1036,实验对比发现较传统渔场预报模型的预测误差降低15%~40%,预测的高产渔区与实际作业的高渔获量区匹配度高。该研究构建的渔场时空预测模型能够准确地预测出太平洋长鳍金枪鱼的时空分布,为太平洋长鳍金枪鱼的延绳钓渔业提供科学参考依据。  相似文献   

吉尔伯特群岛海域大眼金枪鱼(Thunnus obesus) 栖息环境综合指数     

宋利明  杨嘉樑  武亚苹  惠明明  吕凯凯 《海洋与湖沼》2012,43(5):954-962

根据2010年10月—2011年1月在吉尔伯特群岛海域利用金枪鱼延绳钓调查所取得的32个站点的大眼金枪鱼渔获数据,以及测得的温度、盐度、叶绿素、溶解氧浓度、水平海流及垂直海流数据,采用分位数回归的方法研究了各水层(80—240m,每40m为一层)中各环境因子与大眼金枪鱼渔获率的关系,建立"栖息环境综合指数(integrated habitat index,IHI)模型",并利用另外8个站点的数据验证研究结果。结果表明,(1)IHI模型的预测能力较好;(2)不同的水层影响大眼金枪鱼分布的环境因子不同,在较浅的水层(80—200m),大眼金枪鱼的渔获率与溶解氧浓度和海流相关,而在较深水层(>200m)则仅与温度相关;(3)大眼金枪鱼较适宜的栖息水层为120—160m;(4)大眼金枪鱼IHI指数分布较高的两个海域分别为2—3°S,169—175°E与1—3°S,178—180°E,建议在上述两个海域作业时,尽可能使钓具沉降到120—160m的水层,以达到减少兼捕渔获物,同时提高生产效率。  相似文献   

金枪鱼心血管系统的特性与功能研究进展     

黄雯晓  郭志强  韦露  张鹏飞  黄海  马振华  肖娟 《海洋通报》2023,(1):112-120

金枪鱼是一种具备快速游泳能力的洄游性经济鱼类,其心血管系统存在血管逆流热交换器,并具备高心率、高心输出量、高血氧输送速率等特点。同时,作为区域恒温动物,金枪鱼对低温、低氧等环境有着独特的适应能力。为了系统地了解金枪鱼心血管系统的结构与功能特性及其环境适应性,本文综合国内外相关研究进展,阐述了金枪鱼独特的心血管系统组成与结构特点,分析了其高心输出量、高心率和高血氧输送速率的结构基础,并重点论述其支持高代谢率、调节体温、强低氧耐受能力等心血管功能,旨在为金枪鱼心血管系统方面的研究提供参考。  相似文献   

基于不同环境因子的中西太平洋鲣鱼资源丰度灰色预测模型构建          下载免费PDF全文

方舟  陈洋洋  陈新军  郭立新 《海洋学研究》2018,36(4):60-67

鲣Katsuwonus pelamis广泛分布于各大洋热带和亚热带海域,其中以中西太平洋资源量最为丰富。综合评价环境因子对鲣鱼资源量的影响,构建科学的资源预报模型可为我国可持续合理开发该鱼种提供参考。本研究利用1998—2013年中西太平洋渔获量数据,以单位捕捞努力量渔获量(CPUE)为资源相对丰度指标,利用灰色关联方法分析鲣鱼资源相对丰度与环境因子之间的关联度,选取合适的环境因子,并基于不同环境因子构建不同的灰色预测模型对鲣鱼资源相对丰度进行预测,比较选择最优模型。结果表明, 中西太平洋鲣鱼的产量逐年递增,而CPUE在年间有着较大的波动。灰色关联分析认为,海表面温度与CPUE的平均关联度最大,其次为Nino3.4区海表温度距平值,其他的环境因子与CPUE的关联度较小。基于多环境因子的预测模型中,包含所有因子(海表面温度、海表面高度、叶绿素质量浓度a和Nino3.4区海表温度距平值)的模型M1有着最佳的拟合效果,实际值与预测值的相对误差为6.475 2,相关系数为0.687 4;而基于单一环境因子的预测模型中,去除11月SST数据的模型S2有着最佳的拟合效果,实际值与预测值的相对误差为7.419 2,相关系数为0.791 0。相比多环境因子的预测模型,单一环境因子预测模型有着较高的稳定性,实际值与预测值直接相关性也较高,可以作为中西太平洋鲣鱼资源相对丰度预报的最优模型。  相似文献   

Organic waste impact of capture-based Atlantic bluefin tuna aquaculture at an exposed site in the Mediterranean Sea     

Luigi Vezzulli  Mariapaola Moreno  Valentina Marin  Elisabetta Pezzati  Marco Bartoli  Mauro Fabiano 《Estuarine, Coastal and Shelf Science》2008

A variety of pelagic and benthic parameters were measured at an aquaculture farm used for the fattening of Atlantic bluefin tuna (Thunnus thynnus) which is located at an exposed site (700 m from the coast, average bottom depth of 45 m and average current speed of 6 cm s⁻¹) in the Mediterranean Sea. The objective was to test whether modern off-shore tuna fattening industries can exert a sustainable organic waste impact on the receiving environment as has been reported for the offshore culture of more traditional Mediterranean species such as sparids. In the water column, the concentration of phytopigments, organic matter, heterotrophic bacteria and the taxonomic abundance of mesozooplankton (at the species level) were assessed. In the sediment, we assessed the concentration of reduced sulphur pools, phytopigments, organic matter, heterotrophic bacteria and the taxonomic abundance of meiofauna (at the taxa level) and nematodes (at the genus level). For most parameters, we found no substantial differences between farm and control sites. Deviations of farm values from control values, when they occurred, were small and did not indicate any significant impact on either the pelagic and benthic environment. Deviations were more apparent in the benthic compartment where lower redox potential values, higher bacterial production rates and a change in nematode genus composition pointed out to early changes in the sediment's metabolism. In addition, indigenous potential pathogenic bacteria showed higher concentration at the fish farm stations and were a warning of an undesirable event that may become established following aquaculture practice in oligotrophic environments. The overall data from this study provide extensive experimental evidence to support the sustainability of modern offshore farming technology in minimizing the hypertrophic-dystrophic risks associated with the rapidly-expanding tuna-fattening industry in the Mediterranean Sea.  相似文献   

太平洋延绳钓大眼金枪鱼及渔场表温关系研究     

樊伟  陈雪忠  崔雪森 《海洋通报》2008,27(1):35-41

根据收集到的太平洋延绳钓大眼金枪鱼捕捞产量、海水表层温度(SST)数据等,研究了太平洋延绳钓大眼金枪鱼捕捞产量及渔场区 SST 的统计特征.结果表明:太平洋延绳钓大眼金枪鱼渔场主要分布在较高温度的热带海域,整个太平洋渔场区平均 SST 为 26.56 ℃,中位数为27.28 ℃,高产渔区SST相对较高,其主要渔场区平均表层水温主要位于23.8 ℃～29.3 ℃.渔场区 SST 数据分布为负偏,而产量数据分布为正偏.平均CPUE分布呈双峰分布,但主要捕捞产量多数在大于25 ℃海域捕捞.时间序列分析结果显示:太平洋大眼金枪鱼CPUE呈下降趋势,SSTA自1970年代末开始增加,表明太平洋热带海域处于变暖阶段,CPUE和MEI指数与SSTA 的周期变化具有较好的一致性.  相似文献   

School-based indicators of tuna population status     

Dell  James T.; Hobday  Alistair J. 《ICES Journal of Marine Science》2008,65(4):612-622

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基于贝叶斯状态空间产量模型的大西洋黄鳍金枪鱼资源评估   总被引：2，自引：1，他引：1  

田志盼  田思泉  戴黎斌  麻秋云 《海洋学报》2021,43(2):67-77

黄鳍金枪鱼(Thunnus albacares)是全球远洋渔业的重要目标鱼种,要实现有效的管理,对其进行科学的资源评估是必不可少的.本文以大西洋黄鳍金枪鱼为研究对象,根据国际大西洋金枪鱼养护委员会的渔获量和单位捕捞努力量渔获量数据,使用贝叶斯状态空间模型进行资源评估,并探讨不同剩余产量函数和单位捕捞努力量渔获量数据对评...  相似文献   

中西太平洋紫魟渔业生物学初步研究     

王杰  戴小杰  高春霞  吴峰  刘攀 《海洋科学》2019,43(5):90-96

紫魟(Pteroplatytrygon violacea)作为金枪鱼延绳钓中最常见的副渔获物,对海洋生态系统的稳定和物种多样性起着重要的作用。根据2017年7月-2018年2月间我国远洋渔业科学观察员在中西太平洋作业中采集的紫魟生物学特征、渔获等数据,初步研究紫魟的生物学信息。结果发现:(1)紫魟的体盘宽范围在28～66cm间,优势体盘宽范围在35～45cm,雌性紫魟优势体盘宽(50cm)大于雄性紫魟(45cm),且紫魟雄性最大体盘宽比雌性短;(2)研究捕获紫魟基本已成年,雌雄比达到1︰2.7;(3)摄食等级以0级为主,达41.79%,胃含物中频率最高为沙丁鱼类和鱿鱼类等;(4)紫魟雌雄性体盘宽与体质量的关系式分别为:W_R=0.1447T_W~(3.3287)(n=482, R~2=0.8032)、W_R=0.1447T_W~(3.3287)(n=482, R~2=0.8032)。  相似文献   

Food security or economic profitability? Projecting the effects of climate and socioeconomic changes on global skipjack tuna fisheries under three management strategies     

《Global Environmental Change》2016

We investigate the interactions between anthropogenic climate change, socioeconomic developments and tuna fishery management strategies. For this purpose, we use the APECOSM-E model to map the effects of climate change and commercial fishing on the distribution of skipjack tuna biomass in the three oceans, combined with a new bioeconomic module representing the rent or profit of skipjack fisheries. For forcing, we use Representative Concentration Pathway (RCP) 8.5, the highest emission scenario for greenhouse gas concentrations presented in the IPCC’s Fifth Assessment Report (AR5), and the IPCC Socioeconomic Shared Pathway (SSP) 3, which is characterized by low economic development and a strong increase in the world population. We first investigate the impact of climate change on regional skipjack abundance, catches and profits in three oceans (Atlantic, Indian and Pacific) in 2010, 2050 and 2095. We then study the effects of three management strategies (maximum sustainable yield or MSY, maximum economic yield or MEY, and zero rent or ZR) on the future distribution of fishing fleets between oceans and on global economic rent.Our model projections for 2050 and 2095 show an increase in global skipjack biomass compared to 2010 and major changes in its distribution, impacting local and regional fishing efforts. The Pacific Ocean will continue to dominate the skipjack market.In our modeling of management strategies, the currently predominant MSY strategy would have been unprofitable in 2010, due to a decreased catch per unit effort (CPUE). In the future, however, technological developments should increase fishing efficiency and make MSY profitable.In all the scenarios, a MEY strategy is more profitable than MSY but leads to the lowest catches and the highest prices. This raises ethical questions in a world where food security may become a top priority.In the scenarios where MSY generates an economic loss (e.g. 2010), a ZR strategy allows global stocks to be exploited at high but still profitable levels. Conversely, in the scenarios where MSY is profitable, (e.g. 2095) ZR leads to overfishing and smaller global catches.We conclude that the most appropriate management strategy at any time is likely to change as environmental and socioeconomic conditions evolve. The decision to follow one or other strategy is a complex one that must be regularly reviewed and updated.  相似文献