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1.
南太平洋长鳍金枪鱼垂直活动水层空间分析   总被引:3,自引:0,他引:3  
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。  相似文献   

2.
Albacore tuna are widespread in the North Pacific Ocean and the basis of an important commercial fishery. These fish live mainly within a fairly narrow thermal niche range defined by sea surface temperature (SST) isotherms between 14 and 19°C. Because the fish's thermal range coincides with strong latitudinal temperature gradients off the northwest coast of North America, there is a great deal of seasonal and interannual variability in the distribution of these fish, and a significant potential for a new habitat in this region with anthropogenic climate change. We use historical catch and effort data from the Canadian troll fleet to define the fish's thermal niche, and document observed shifts in distribution associated with interannual climate variability. We then use an ensemble of climate model simulations from the Coupled Model Intercomparison Project to estimate northward extension of the potential habitat under anthropogenic warming scenarios. A potential new habitat is about half a million square kilometres even under a moderate mitigation scenario. Estimates are smaller for some months of the year in which the fishery is conducted, but as well as opening up new regions, the length of season in which the fishery is active may be extended in the northern part of the range. However, much of the potential new habitat will be in oceanic waters with relatively low productivity. Our estimated area of potential habitat is based on the fish's thermal niche and assumes that other biologically important factors such as food will not be limiting.  相似文献   

3.
基于2008年9月至2009年4月在印度洋中南部水域金枪鱼延绳钓渔场收集的数据,研究分析和比较了3种钓钩钩型(传统金枪鱼钩、“J”形钩和圆形钩)的渔获效益及对钓捕对象的选择性。结果表明:(1) 从渔获种类上看,大眼金枪鱼和大青鲨金枪鱼钩钓获比例最高,“J”形钩和圆形钩的钓获比例相当;而长鳍金枪鱼则为金枪鱼钩钓获比例最高,其次为“J”形钩和圆形钩。(2) 大眼金枪鱼存活率以金枪鱼钩最高,“J”形钩最低;长鳍金枪鱼则为“J”形钩稍高于圆形钩,金枪鱼钩最低;大青鲨则以圆形钩最高,“J”形钩最低。(3) “J”形钩钓获的长鳍金枪鱼和鲨鱼平均叉长较金枪鱼钩和圆形钩稍大;而金枪鱼钩钓获的大眼金枪鱼平均叉长较圆形钩和“J”形钩稍大。(4) 3种钩型钓获的长鳍金枪鱼、大眼金枪鱼和大青鲨叉长分布均不存在显著性差异。  相似文献   

4.
5.
太平洋大眼金枪鱼延绳钓渔获分布及渔场环境浅析   总被引:5,自引:6,他引:5  
樊伟  崔雪森  周甦芳 《海洋渔业》2004,26(4):261-265
本文主要根据收集到的渔获量数据、海水表层温度数据和有关文献资料 ,应用GIS技术对太平洋大眼金枪鱼延绳钓渔业进行了定量或定性分析。结果表明 :太平洋大眼金枪鱼延绳钓渔场主要分布在 2 0°N~2 0°S之间的热带海域 ,具纬向分布特征。对渔获产量同海表温度的分月统计显示 :太平洋大眼金枪鱼渔场最适月平均表层水温约 2 8~ 2 9℃ ,渔场出现频次为偏态分布型。最后 ,结合有关文献综合讨论分析了海表温度、溶解氧含量、海流等环境因子与金枪鱼渔场分布和形成机制的关系  相似文献   

6.
冯波  许柳雄  田思泉 《海洋渔业》2004,26(3):161-166
数值分析得出大眼金枪鱼的渔获适宜环境参数值范围:温度14~17℃,盐度34.5~35.4.溶解氧浓度1.5~4.5mg/L,温跃层深度80~160m,营养盐氮、磷、硅浓度分别大于12-μg/L,09μg/L,14μg/L。聚类分析表明,钓获率与营养盐关系最为密切。另外,通过因子分析,深化了对钓获率和渔获环境因子两者间关系的理解。  相似文献   

7.
金枪鱼延绳钓环形钩和圆形钩钓获率比较   总被引:3,自引:0,他引:3  
根据"华远渔18号"和"华远渔19号"两艘冰鲜金枪鱼延绳钓渔船2005年9月15日~12月12日在印度洋热带公海水域(0°47′~10°16′N,61°40′~70°40′E)作业期间收集的数据,以每千钩钓获尾数和平均净重,对环型钩与圆型钩对大眼金枪鱼和黄鳍金枪鱼的选择性、钓获率差异等进行了比较研究。结果表明:不同钓具漂移速度下环型钩与圆型钩各自对大眼金枪鱼和黄鳍金枪鱼的选择性无显著差异;不同钓具漂移速度下环型钩与圆型钩之间对大眼金枪鱼和黄鳍金枪鱼的钓获率无显著差异;环型钩与圆型钩之间对大眼金枪鱼和黄鳍金枪鱼渔获物净重无显著差异。  相似文献   

8.
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.  相似文献   

9.
根据2007年12月~2008年3月采集的热带大西洋(05°37′~12°01′N、29°00′~36°51′W)金枪鱼延绳钓渔获物数据,分析了金枪鱼延绳钓兼捕鲨鱼的种类组成、渔获量、渔获率及其与表温的关系。本次调查共捕获鲨鱼8种,隶属3目7科7属,总渔获尾数为633 ind,总渔获量达26 837.4 kg,其中大青鲨为主要兼捕种类。各种鲨鱼渔获率平均值在0.003~1.524 ind/1 000 hooks之间,其中大青鲨最高,其值为1.524 ind/1 000 hooks,大眼砂锥齿鲨最低,其值为0.003 ind/1 000 hooks。各种鲨鱼渔获率月变化不明显(ANOVA,P=0.901)。鲨鱼总渔获率和大青鲨渔获率与表温都呈显著性负相关。大青鲨主要出现渔场的表温范围为24.6~25.8℃。  相似文献   

10.
Generalized additive models (GAMs) were applied to examine the relative influence of various factors on fishery performance, defined as nominal catch- per-unit-effort (CPUE) of swordfish (Xiphias gladius) and blue shark (Prionace glauca) in the Hawaii-based swordfish fishery. Commercial fisheries data for the analysis consisted of a 5 year (1991–1995) time series of 27 901 longline sets. Mesoscale relationships were analysed for seven physical variables (latitude, longitude, SST, SST frontal energy, temporal changes in SST (ΔSST), SST frontal energy (ΔSST frontal energy) and bathymetry), all of which may affect the availability of swordfish and blue shark to the fishery, and three variables (number of lightsticks per hook, lunar index, and wind velocity) which may relate to the effectiveness of the fishing gear. Longline CPUE data were analysed in relation to SST data on three spatiotemporal scales (18 km weekly, 1°-weekly, 1°-monthly). Depending on the scale of SST data, GAM analysis accounted for 39–42% and 44–45% of the variance in nominal CPUE for swordfish and blue shark, respectively. Stepwise GAM building revealed the relative importance of the variables in explaining the variance in CPUE. For swordfish, by decreasing importance, the variables ranked: (1) latitude, (2) time, (3) longitude, (4) lunar index, (5) lightsticks per hook, (6) SST, (7) ΔSST frontal energy, (8) wind velocity, (9) SST frontal energy, (10) bathymetry, and (11) ΔSST. For blue shark, the variables ranked: (1) latitude, (2) longitude, (3) time, (4) SST, (5) lightsticks per hook, (6) ΔSST, (7) ΔSST frontal energy, (8) SST frontal energy, (9) wind velocity, (10) lunar index, and (11) bathymetry. Swordfish CPUE increased with latitude to peak at 35–40°N and increased in the vicinity of temperature fronts and during the full moon. Shark CPUE also increased with latitude up to 40°N, and increased westward, but declined abruptly at SSTs colder than 16°C. As a comparison with modelling fishery performance in relation to specific environmental and fishery operational effects, fishery performance was also modelled as a function of categorical time (month) and area (2° squares) variables using a generalized linear model (GLM) approach. The variance accounted for by the GLMs was ≈ 1–3% lower than the variance explained by the GAMs. Time series of swordfish and blue shark CPUE standardized for the environmental and operational variables quantified in the GAM and for the time-area effects in the GLM are presented. For swordfish, both nominal and standardized time series indicate a decline in CPUE, whereas the opposite trend was seen for blue shark.  相似文献   

11.
The South Equatorial Counter Current (SECC) strongly influences the American Samoa Exclusive Economic Zone (EEZ) and changes strength on a seasonal and ENSO cycle. A strong SECC is associated with a predominantly anticyclonic eddy field as well as increased micronekton biomass and catch-per-unit-effort (CPUE) for albacore tuna, the economically important target species of the local longline fishery. A strong SECC carries chlorophyll a -rich waters from upwelling regions at the north coast of New Guinea towards the EEZ, most likely resulting in the observed increase in micronekton biomass, forage for albacore. Relatively stable anticyclonic eddies show a further increase in micronekton biomass, apparently advected from neighboring SECC waters. The presence of forage presumably concentrates albacore, thus resulting in the observed increase in CPUE. High shear regions of neither anticyclonic nor cyclonic eddies correlate with increased micronekton biomass. Areas characterized by South Equatorial Current (SEC) waters correspond to areas with the lowest micronekton biomass and the highest number of aggregative structures, which are most likely small pelagic fish shoals. Micronekton composition in SEC waters differs from that in the SECC. During El Niños, the seasonal signals at the north shore of New Guinea and in the SECC are exceptionally strong and correspond to higher albacore CPUE in the EEZ. My results suggest that the strength of upwelling and the resulting increase in chlorophyll a at New Guinea, as well as the Southern Oscillation Index, could be used to predict the performance of the local longline fishery for albacore tuna in the American Samoa EEZ.  相似文献   

12.
悬链线和抛物线理论在金枪鱼延绳钓渔业中的应用   总被引:2,自引:1,他引:2  
本文依次用悬链线和抛物线理论分析推导了金枪鱼延绳钓具的两种投放方法以及在渔场各水层相同流态下钓具充分沉降后所有钓钩位置包括深度和相互间水平间距的计算公式 ,可用于作业参考。  相似文献   

13.
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。  相似文献   

14.
To analyze the effects of mesoscale eddies, sea surface temperature (SST), and gear configuration on the catch of Atlantic bluefin (Thunnus thynnus), yellowfin (Thunnus albacares), and bigeye tuna (Thunnus obesus) and swordfish (Xiphias gladius) in the U.S. northwest Atlantic longline fishery, we constructed multivariate statistical models relating these variables to the catch of the four species in 62 121 longline hauls made between 1993 and 2005. During the same 13‐year period, 103 anticyclonic eddies and 269 cyclonic eddies were detected by our algorithm in the region 30–55°N, 30–80°W. Our results show that tuna and swordfish catches were associated with different eddy structures. Bluefin tuna catch was highest in anticyclonic eddies whereas yellowfin and bigeye tuna catches were highest in cyclonic eddies. Swordfish catch was found preferentially in regions outside of eddies. Our study confirms that the common practice of targeting tuna with day sets and swordfish with night sets is effective. In addition, bluefin tuna and swordfish catches responded to most of the variables we tested in the opposite directions. Bluefin tuna catch was negatively correlated with longitude and the number of light sticks used whereas swordfish catch was positively correlated with these two variables. We argue that overfishing of bluefin tuna can be alleviated and that swordfish can be targeted more efficiently by avoiding fishing in anticyclonic eddies and in near‐shore waters and using more light sticks and fishing at night in our study area, although further studies are needed to propose a solid oceanography‐based management plan for catch selection.  相似文献   

15.
ABSTRACT:   Taiwanese longline (LL) fisheries operating in the Indian Ocean usually target albacore tuna (ALB), swordfish (SWO) and yellowfin tuna (YFT) using regular LL. Bigeye tuna (BET), however, is targeted using deep LL. Thus, these two types of LL are considered to be different gears as they target different tuna species. Regular or deep LL fishing is defined by number of hooks per basket (NHB): regular LL if 6 ≤ NHB ≤ 10 and deep LL if 11 ≤ NHB ≤ 20. However, NHB information was available in only some of the recent LL data (1995–1999). This situation had caused problems of biased results in stock analysis in the past. Thus, the objective of our study was to explore an effective method to separate the two types of LL fishing by considering species composition. Some intervals of BET catch ratios were found to be effective in separating the regular and deep LL catches, i.e. 0.0 ≤ BET/(BET + ALB + SWO) ≤ 0.4 and 0.8 ≤ BET/(BET + ALB) ≤ 1.0, respectively. Using these two separators, the LL known data set (1995–1999) (learning data set) was classified. Correct classification occurred in 67.7% of the data, while 23.1% of the data were unclassified (11.9% due to zero catches and 11.2% due to classification into both LL types), and 9.2% were misclassifications. Then, using the methods developed, the LL unknown data set in the historical data (1979–1999) was classified and nominal CPUE values were calculated for four species. The CPUE trends based on this study were likely to be more reliable than those of previous studies.  相似文献   

16.
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.  相似文献   

17.
北太平洋长鳍金枪鱼年龄与生长初步研究   总被引:1,自引:0,他引:1  
北太平洋长鳍金枪鱼(Thunnus alalunga)是金枪鱼渔业的主要捕捞对象之一,其资源的养护和管理日益受到各方关注,鱼类年龄鉴定是渔业资源研究的重要内容之一。根据2013~2014年北太平洋长鳍金枪鱼探捕所采集的227个脊椎骨样本,用不同的染色方法分成4组进行年龄的鉴定,选用线性模型、指数模型和幂指数模型对叉长和脊椎骨半径进行拟合,最后选出结果最好的鉴定组和拟合模型,通过年龄鉴定估算长鳍金枪鱼的Von Bertalanffy生长方程。研究结果表明,北太平洋长鳍金枪鱼的叉长范围为52~104 cm,优势叉长组为81~90 cm,占总数的83.1%;年龄组成以5、6龄较多,占样本总数的80.86%。最终得到北太平洋长鳍金枪鱼生长方程为:Lt=109.180 2[1-e~(-0.258 783(t-1.991 28))],t_(tp)=2.25。  相似文献   

18.

文章利用2008—2015年南太平洋长鳍金枪鱼 (Thunnus alalunga) 延绳钓渔业数据,结合11个环境指标 (海表温度、叶绿素a (Chl-a)浓度、海表温度距平、叶绿素距平、海表温度梯度、叶绿素梯度、海平面异常以及渔区格网对应的前后各1个月海表温度和叶绿素值) 和3个时空指标 (月、经度和纬度),并基于6种集成学习模型,以月为时间分辨率、0.5°×0.5°为空间分辨率,开展了南太平洋长鳍金枪鱼渔场模型构建和预报研究。模型通过10折交叉验证和网格搜索思想确定最佳参数,采用的随机森林、Bagging决策树、C5.0决策树、梯度提升决策树、AdaBoost、Stacking集成模型分别取得了75.52%、73.87%、72.99%、71.14%、71.33%、75.84%的分类准确率。经对比,Stacking集成模型准确率最高。利用2015年环境数据进行预报精度检验,预报总体准确率为63.86%~82.14%,平均70.99%;高单位捕捞努力量渔获量 (Catch per unit effort, CPUE) 渔区预报准确率为62.71%~97.85%,平均78.76%。结果表明Stacking集成模型对南太平洋长鳍金枪鱼渔场的预报具有较好的效果及可行性。

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19.
We have extracted information on the habitats of bigeye (Thunnus obesus), skipjack (Katsuwonus pelamis) and yellowfin (Thunnus albacares) in the Eastern Tropical Pacific Ocean by matching the spatial‐temporal distribution of catch and effort of purse seine and longline fleets collected by the Inter‐American Tropical Tuna Commission with oceanographic conditions and subjecting the matched data to Quotient Analysis and General Additive Models (GAMs). These analyses yielded the following results. The habitats defined by the GAM analysis of young fish differ significantly between two periods, one before and one after the introduction of fish aggregation devices (FADs). This was not true for the older fish caught by longline. We speculate that these changes were caused by the extensive use of FADs. Younger bigeye and yellowfin caught by the purse seine fleet have a different preference of environmental variables compared to older fish caught by longline. This is to be expected since tuna of different age groups have different sizes, metabolic capabilities and swimming skills. Moreover, as revealed by GAMs, the habitats of young fish differ between species to a much larger degree than those of older fish. Our results indicate the fundamental differences between fishing methods, targeted species, and operating region of the two fisheries. Specifically, young bigeye occupy equatorial waters farther from the coast and where the hypoxic layer is deeper, young skipjack occupy more productive waters associated with equatorial and coastal upwelling, and young yellowfin occupy broad areas where waters are underlain by a shallow hypoxic layer.  相似文献   

20.
报道 1 994年 1 1月至 1 996年 1 0月 (4~ 7月除外 )金丰 2号延绳钓船在中部大西洋公海 (0 9°N~ 0 5°S ,1 8°W~ 34°W )钓捕渔获物和各月经济鱼种上钩率的状况。经过鉴定共有 2 7种鱼类和一种海龟。在 2月的北纬渔场和 1 2月上半月在南纬西部渔场 (0 1°S~ 0 5°S ,2 4°W以西 ) ,大眼金枪鱼的上钩率达到高峰值 ,均大于 8‰ ,其它期间在钓捕海域上钩率在 2‰~ 8‰之间 ;在 1 1月、1 2月的北纬渔场和 1 2月上半月在南纬西部渔场 ,黄鳍金枪鱼的上钩率均大于 4‰ ,而在南纬中部渔场 (0 1°S~ 0 5°S ,2 4°W~ 1 8°W )黄鳍金枪鱼的上钩率最低 ,小于 1‰ ;箭鱼的上钩率在钓捕海域大体在 2‰以下 ,其它低经济价值的鱼上钩率几乎都小于 1‰。本文探讨了影响上钩率的因素。  相似文献   

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