主捕长鳍金枪鱼延绳钓钓具的最适浸泡时间     

宋利明  李冬静  刘海阳  陈平  李杰 《上海海洋大学学报》2014,23(2):290-296

根据2012年9月21日-11月15日库克群岛海域金枪鱼延绳钓海上调查数据,建立了钓钩深度计算模型,分两种起绳方式建立了作业中每一根支绳的浸泡时间计算模型。将钓钩深度以40 m为一层,共分为6个水层(40~80 m、80~120 m、120~160 m、160~200 m、200~240 m和240~280 m),统计每个水层和整个水体内的钓钩数量和长鳍金枪鱼(Thunnus alalunga)的渔获尾数。计算每个水层和整个水体内的钓具浸泡时间,并以1 h为间隔分别统计每个区间的支绳数量及渔获尾数,计算其渔获率。结果表明:(1)二次曲线可拟合浸泡时间与长鳍金枪鱼渔获率的关系,其渔获率随浸泡时间的增加呈现先增后减的趋势;(2)长鳍金枪鱼在40~280 m整个水体、6个水层中渔获率最高的浸泡时间为11.0~11.4 h。建议:(1)主捕长鳍金枪鱼时,尽可能把支绳的浸泡时间设定在10.0~12.0 h左右,以提高捕捞效率;(2)对于漂流延绳钓,整个水体的最佳浸泡时间可代表各个水层的最佳浸泡时间;(3)目标鱼种不同,钓具的最佳浸泡时间也不同;(4)浸泡时间可作为延绳钓钓具有效捕捞努力量。研究结果可用于提高长鳍金枪鱼捕捞效率,为渔业生产和CPUE的标准化提供参考。  相似文献   

金枪鱼延绳钓船混合动力推进系统研究与分析     

沙锋  王永鼎  叶守建 《上海海洋大学学报》2014,23(2):279-283

渔业节能减排和保护环境对促进国家海洋经济发展将起到重要作用。与传统的船舶动力系统相比,混合动力推进系统的电力推进具有调速范围广、驱动力大、易于正反转、体积小、布局灵活、安装方便、便于维修、振动和噪音小等优点。金枪鱼延绳钓船在作业时间内,主机处于低转速低负荷运行状态,燃油消耗率升高,出现积炭,导致增压器背压增加,可能引起喘振;主机受最低稳定转速限制,易造成航速忽快忽慢,不利于生产作业。根据金枪鱼延绳钓船作业方式和特点,提出分段驱动并联结构机电混合动力推进系统应用于金枪鱼延绳钓船,形成机电混合推进系统,降低了金枪鱼延绳钓船在航行及作业工况下对主机的依赖性,提高船舶推进系统冗余度,提高船舶放钓、收钓作业工况下的操纵灵活性,大幅度提高船舶操纵性和综合推进效率。通过经济适用性和环境保护性指标体系分析,与常规金枪鱼延绳钓船相比较,在放钓、巡钓和收钓作业等相同工况下,综合耗油量降低20%,系统可靠性,安全性和综合推进效率有一定提高。  相似文献   

Alternative methods for nutrition research on the southern bluefin tuna, Thunnus maccoyii (Castelnau): evaluation of Atlantic salmon, Salmo salar L., to screen experimental feeds     

M P Bransden  C G Carter  & B F Nowak 《Aquaculture Research》2001,32(S1):174-181

  相似文献   

Considerations of stock structure of yellowfin tuna (Thunnus albacares) in the Indian Ocean based on fishery data     

TSUTOMU NISHIDA 《Fisheries Oceanography》1992,1(2):143-152

Yellowfin stock structure in the Indian Ocean was studied by using industrial tuna longline fishery data. Three types of test variables were used to detect stock structure, i.e., CPUE, age-specific CPUE, and coefficient of variation for size. Time-series data of test variables were compiled for six sub-areas that were arranged by dividing the whole region systematically along longitude lines every 20 degrees. Then time-series data were smoothed by moving averages, and regressed by simple models. Patterns of time-series trends were graphically and statistically compared to classify homogeneous sub-area groups. Two assumptions were (a) that homogeneous stocks exist longitudinally and overlap in adjacent waters, and (b) that test variables within homogeneous sub-area groups are equally affected, and hence patterns of the time-series trends are similar. After graphical screening for significant sub-area groups, analysis of covariance was applied to test homogeneity of regression parameters representing patterns of the time-series trends. By classifying homogeneous sub-area groups, stock structures were determined at the P <0.05 and P <0.50 levels. The P<0.50 level was recognized as a useful criterion for ‘weak’ test variables since masked or vague structures at the P <0.05 level were likely cleared at this level in many cases. Results of this study and past stock structure studies were reviewed and compared. It was concluded that there are two major and two minor stocks of yellowfin tuna. The two major stocks (the western and the eastern) are located at 40^o-90^oE and 70^o-130^oE respectively. The minor stocks are the far western and the far eastern stocks (the latter possibly being a part of the Pacific stock), which are located westward of 40^oE and eastward of 110^oE respectively. Neighboring stocks are intermingled in adjacent waters.  相似文献   

Decadal variation in the trans-Pacific migration of northern bluefin tuna (Thunnus thynnus) coherent with climate-induced change in prey abundance     

JEFFREY J. POLOVINA 《Fisheries Oceanography》1996,5(2):114-119

Northern bluefin tuna, Thunnus thynnus, apparently spawn only in the western Pacific and a portion of the juveniles migrate to the eastern Pacific. During the past decade, catches of northern bluefin in the eastern Pacific have declined. One possible cause for this decline, proposed by bluefin stock assessment studies, is a decline in the proportion of bluefin that migrate out of the western Pacific. This hypothesis is examined with several indices of the relative abundance of bluefin tuna in the western and eastern Pacific. These indices suggest a decline in the proportion of bluefin migrating to the eastern Pacific since 1977. This period of reduced bluefin migration coincides with a period when a prey of bluefin, Japanese sardine, Sardinops melanosticta, were abundant off Japan. It is hypothesized that in years when sardines are abundant off Japan, a higher proportion of bluefin stay in the western Pacific compared with years when sardines are scarce. Currently, the adun-dance of sardines off Japan is declining. If this decline continues, this hypothesis predicts an increase in bluefin migrating north of Hawaii and into the eastern Pacific.  相似文献   

Incorporating spatial autocorrelation into the general linear model with an application to the yellowfin tuna (Thunnus albacares) longline CPUE data   总被引：1，自引：0，他引：1  

Tom Nishida  Ding-Geng Chen 《Fisheries Research》2004,70(2-3):265-274

Catch-per-unit-effort (CPUE) data have often been used to obtain a relative index of the abundance of a fish stock by standardizing nominal CPUE using various statistical methods. The theory underlying most of these methods assumes the independence of the observed CPUEs. This assumption is invalid for a fish population because of their spatial autocorrelation. To overcome this problem, we incorporated spatial autocorrelation into the standard general linear model (GLM). We also incorporated into it a habitat-based model (HBM), to reflect, more effectively, the vertical distributions of tuna. As a case study, we fitted both the standard-GLM and spatial-GLM (with or without HBM) to the yellowfin tuna CPUE data of the Japanese longline fisheries in the Indian Ocean. Four distance models (Gaussian, exponential, linear and spherical) were examined for spatial autocorrelation. We found that the spatial-GLMs always produced the best goodness-of-fit to the data and gave more realistic estimates of the variances of the parameters, and that HBM-based GLMs always produced better goodness-of-fit to the data than those without. Of the four distance models, the Gaussian model performed the best. The point estimates of the relative indices of the abundance of yellowfin tuna differed slightly between standard and spatial GLMs, while their 95% confidence intervals from the spatial-GLMs were larger than those from the standard-GLM. Therefore, spatial-GLMs yield more robust estimates of the relative indices of the abundance of yellowfin tuna, especially when the nominal CPUEs are strongly spatially autocorrelated.  相似文献   

Changes in the retinal cone density distribution and the retinal resolution during growth of juvenile Pacific bluefin tuna <Emphasis Type="Italic">Thunnus orientalis</Emphasis>     

Shinsuke Torisawa  Tsutomu Takagi  Yasunori Ishibashi  Yoshifumi Sawada  Takeshi Yamane 《Fisheries Science》2007,73(5):1202-1204

  相似文献   

Climatic oscillations and tuna catch rates in the Indian Ocean: a wavelet approach to time series analysis   总被引：3，自引：1，他引：3  

F. MÉNARD  F. MARSAC  E. BELLIER  B. CAZELLES 《Fisheries Oceanography》2007,16(1):95-104

We analysed the influence of climatic oscillations [based on the Indian Oscillation Index (IOI)] on monthly catch rates of two tropical tuna species in the equatorial Indian Ocean. We carried out wavelet analysis, an efficient method of time series analysis to study non‐stationary data. Catch per unit of effort (CPUE) of bigeye tuna was computed from Japanese longline statistics from 1955 to 2002 in the equatorial Indian Ocean and CPUE of yellowfin tuna was derived from industrial purse seine statistics from 1984 to 2003 in the Western Indian Ocean. Wavelet analyses allowed us to quantify both the pattern of variability in the time series and non‐stationary associations between tuna and climatic signals. Phase analyses were carried out to investigate dependency between the two signals. We reported strong associations between tuna and climate series for the 4‐ and 5‐yr periodic modes, i.e. the periodic band of the El Niño Southern Oscillation signal propagation in the Indian Ocean. These associations were non‐stationary, evidenced from 1970 to 1990 for bigeye, and from 1984 to 1991 and then from 1993 to 2001 for yellowfin. Warm episodes (low negative IOI values) matched increases of longline catch rates of bigeye during the 1970–1990 time frame, whereas the strong 1997–1998 warm event matched a decrease of purse seine catch rates of yellowfin. We discussed these results in terms of changes in catchability for purse seine and longline.  相似文献   

Environmental 'loopholes' and fish population dynamics: comparative pattern recognition with focus on El Niño effects in the Pacific   总被引：1，自引：2，他引：1  

Andrew Bakun  Kenneth Broad 《Fisheries Oceanography》2003,12(4-5):458-473

  相似文献   

Diving behavior of immature, feeding Pacific bluefin tuna (Thunnus thynnus orientalis) in relation to season and area: the East China Sea and the Kuroshio–Oyashio transition region     

Takashi Kitagawa  Shingo Kimura  Hideaki Nakata  Harumi Yamada 《Fisheries Oceanography》2004,13(3):161-180

Twenty‐four archival tags were recovered from Pacific bluefin tuna previously released off Tsushima Island in the East China Sea. By analysis of the time‐series data of the pressure and the ambient and internal temperature from the 24 tags, we examined the relationship between the tuna's pattern of diving and the thermocline depth. In the East China Sea, diving and feeding events occurred throughout almost the entire day in both winter and summer, suggesting that the purpose of diving is for feeding. In summer, the feeding frequency was greater than that in winter, which corresponds to the fact that growth is more rapid in summer than in winter. During summer in the Kuroshio–Oyashio transition region, on the other hand, feeding events were much more frequent than those in the East China Sea, in spite of a lower diving frequency. The mean horizontal distance traveled was also significantly higher and it seems that in this area they may move horizontally to feed on prey accumulated at the surface. We conclude that, in addition to the ambient temperature structure, the vertical and horizontal distribution of prey species plays an important role in the feeding behavior of Pacific bluefin tuna. One bluefin tuna migrated to the Oyashio frontal area, where both the horizontal and the vertical thermal gradients are much steeper. The fish spent most of the time on the warmer side of the front and often traveled horizontally to the colder side during the day, perhaps to feed. This implies that there is a thermal barrier effect, in this case from the Oyashio front, on their behavior. The frequency of feeding events was low, although all the monitored fish dived every dawn and dusk, irrespective of the seasons or location. It is possible that these twice‐daily diving patterns occurred in response to the change in ambient light at sunrise and sunset.  相似文献