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1.
智利外海茎柔鱼产量分布及其与表温的关系 总被引：3，自引：0，他引：3
根据2004年4～6月我国鱿钓船在智利外海生产统计数据和表温资料,用Marineexplore4.0绘制各月产量、CPUE与表温关系的分布图并进行分析。结果表明,4～6月茎柔鱼产量主要分布在28°～30°S、76°～78°W附近海域,平均CPUE在10t/d以上。作业渔场的表温范围为17～20℃,主要集中在表温为17～19℃海域。 相似文献
2.
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
3.
巴塔哥尼亚大陆架海域阿根廷滑柔鱼渔场分布及与表温的关系分析 总被引：10，自引：0，他引：10
根据 2 0 0 2年 1～ 6月中国大陆地区鱿钓渔船在西南大西洋的生产统计及其海表水温数据 ,按 1°× 1°的格式进行统计分析 ,并用MarineExplore 4 .0软件进行作图 ,对阿根廷滑柔鱼渔场、CPUE分布及其与表温的关系进行了分析。结果表明 ,1～ 3月份中心渔场集中在 4 5°S、6 0°W一带 ,4～ 6月份作业渔场集中在 4 2°S、5 7°W附近。各月产量和CPUE有很大变动 ,其中 1月份产量最高 ,3月份开始下降 ,6月份达到渔汛的末期。全年产量较高海区的表温为 12～ 15℃ ,各月份的最适渔获表温不同 ,1月为 14～ 15℃ ,2月为 13～ 15℃ ,3月为 12～ 14℃ ,4月为 9～ 13℃ ,5月为 8～ 10℃ ,6月为 7～ 9℃ ,并且每月的作业水温逐渐降低 ,平均每月下降约 1℃。经K S检验 ,结果表明 ,各月表温和CPUE的差异均不显著。 相似文献
4.
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
5.
热带大西洋金枪鱼延绳钓兼捕鲨鱼种类组成和渔获率及其与表温的关系 总被引：1，自引：0，他引：1
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
6.
中西太平洋金枪鱼延绳钓主要渔获物垂直结构的初步研究 总被引：1，自引：0，他引：1
根据2012年7~11月金枪鱼科学观察员在中西太平洋采集的钩位深度以及渔获物的钓获钩位数据,分析了各钩位的上浮率和钓获鱼种的垂直分布结构,并比较了不同鱼种垂直分布的差异性。结果表明:(1)钓钩绝对上浮率变化范围为0.49~44.73 m,相对上浮率的变化范围为0.65%~16.69%,平均绝对上浮率为23.29 m,平均相对上浮率为8.87%。(2)12种主要渔获钓获深度范围差异很大,大魣(Lampris guttatus)的平均钓获深度最浅,为75.92 m,蓝枪鱼(Makaira nigricans)的平均钓获深度最深,为228.19 m。聚类分析显示12种主要渔获物可以分成3种垂直分布结构。(3)11种主要兼捕渔获钓获深度均与长鳍金枪鱼(Thunnus alalunga)钓获深度呈显著性差异。 相似文献
7.
中西太平洋金枪鱼围网黄鳍金枪鱼产量的时空分布及与表温的关系 总被引：1，自引：1，他引：1
黄鳍金枪鱼是中西太平洋金枪鱼围网渔业中的重要捕捞种类之一。本文根据2003年中西太平洋金枪鱼围网生产统计及其表温数据,利用频次统计分析和地理信息软件Marine Explorer 4.0对黄鳍金枪鱼产量和单位日产量(CPUE)的时空分布进行分析,探讨其与海水表温的关系。结果显示,产量和CPUE最高的是2月份,其次是9月份,5月份为最低。高产量的范围为140~160°E、0°~5°S;CPUE高值区分布在130°E、0°~15°S,140°~160°E、0°~15°S和175°W、0°~15°S;产量经纬度重心分别为150°30′E和3°48′S。产量主要分布在海表温为28~31℃的海域,产量比重高达95.45%,其中29~30℃产量为最高,占69.54%。 相似文献
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9.
大型鱿鱼钓脱钩率问题初步研究 总被引：1，自引：0，他引：1
在北太平洋鱿钓实践生产发现,西经海域鱿鱼个体大,脱钩率高,本文就舟渔1301轮,在使用水下灯的情况下,对减少鱿鱼脱钩率进行探讨。一、材料与方法1、材料调查船只为舟渔1301,其钓渔具材料配置:水上灯76盏,每盏功率为2KW;水下灯为金属卤素灯,2盏,功率均为5KW;水下灯装置左舷电缆200米,右舷电缆250米;钓机全部为SE-58型,两舷各9台,总共18台,实际使用12台。2、方法(1)调查时间:2000年5月15日~7月8日,历时55天;(2)调查范围:39°N~42°N,180°W~171°W;(3)手钓和机钓的渔获产量对比;(4)不同规格、颜色钓钩上钩率与脱钩率的对比试验;(5)钓机采… 相似文献
10.
阿根廷滑柔鱼是我国重要的头足类渔业之一,对其单位捕捞努力量渔获量( CPUE)进行标准化是对其资源评估的重要内容。本研究根据2000～2010年我国在西南大西洋的产量统计数据和卫星遥感获得的海洋环境数据（表温,表温水平梯度,海面高度,叶绿素浓度）,利用广义线性模型（GLM,general linear model）和广义加性模型（GAM,generalized additive model）对其CPUE进行标准化。GLM模型结果表明,年、纬度、表温以及交互项年与纬度对CPUE影响最大。GAM模型研究结果表明,年、月、经度、纬度、表温、海面高度以及交互项年与纬度、年与经度对CPUE影响较大。根据AIC数值,包含上述8个显著变量的GAM模型为最佳模型,对CPUE的解释率为49.20%。高CPUE出现在夏季表温为12～16°C、海面高为-20~20cm、46.5°～48.5°S海域。研究表明,GAM模型较GLM模型更适合用于西南大西洋阿根廷滑柔鱼CPUE标准化。 相似文献
11.
Environmental effects on swordfish and blue shark catch rates in the US North Pacific longline fishery 总被引：17，自引：0，他引：17
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
12.
Yonat Swimmer Randall Arauz John Wang Jenny Suter Michael Musyl Allan Bolaños Andrés López 《水产资源保护:海洋与淡水生态系统》2010,20(4):445-451
- 1. This study compared the catch rates of targeted dolphinfish or mahimahi (Coryphaena hippurus), and sea turtles and other fish bycatch in a shallow‐set Costa Rican longline fishery using 14/0 circle hooks with and without a 10° offset. The effect of hook offset on hooking location and injury in captured sea turtles, specifically if the hooking was external, in the mouth, or in the esophagus was also evaluated.
- 2. Results were compared from six trips totalling 33 876 hooks with squid (Dosidicus gigas) used as bait. In total, mahimahi catch‐per‐unit‐effort (CPUE, expressed as number caught per 1000 hooks) was similar between hook types (CPUE～52).
- 3. Olive ridley sea turtles (Lepidochelys olivacea) were caught on all 42 sets. In total, 640 olive ridley turtles were caught and released alive. There were no significant differences in the number of sea turtles caught between hooks with and without an offset (CPUE～19) nor between hook type and anatomical hooking location, suggesting similar levels of injury for turtles caught on each hook type.
- 4. These data suggest that a 10° offset on 14/0 circle hooks does not confer any selective advantages over hooks with no offset with respect to capture rates of mahimahi, sea turtles, sharks, or pelagic stingrays in a shallow set pelagic longline fishery. Copyright © 2010 John Wiley & Sons, Ltd.
13.
Do disparate mechanisms determine growth rates of fish larvae in the different regions? The relationship between growth rates and environmental factors (sea temperature and food availability) was examined for larval Japanese anchovy Engraulis japonicus in geographically and environmentally different waters, through sagittal otolith microstructure analysis. Recent 3‐day mean growth rates directly before capture were positively related with sea‐surface temperature (SST) but not with food availability (plankton density) for the larvae in the Kuroshio Extension and Kuroshio–Oyashio transition regions of the western North Pacific. On the contrary, variations in recent growth rates were attributed to food availability (plankton density) as well as SST for the larvae in the East China Sea. In the shirasu fishing ground in Sagami Bay, larval growth rates were variable under the influences of both SST and food availability (feeding incidence). On the surface, the growth–environment relationships seemed to differ among regions. However, a definite general pattern of the dome‐shaped relationship between recent growth rates and SST was observed when all the regions were combined. Growth rates were similar even among clearly different regions if at the same SST. Overall, growth rates roughly increased with SST until they reached the maximum at SST of 21–22°C (i.e. optimal growth temperature), and declined when SST went over 21–22°C. On the contrary, no clear relationship was observed between growth rate and plankton density or between SST and plankton density. Therefore, the apparent among‐region differences would be firstly caused by the differences in regional SST range. The systematic mechanism of growth determination for widespread pelagic fish species larvae would be run by primarily sea temperature and secondarily food availability, at the species level. 相似文献
14.
Roberto Venegas Thomas Oliver Russell E. Brainard Mudjekeewis Santos Rollan Geronimo Matthew Widlansky 《Fisheries Oceanography》2019,28(2):117-130
We investigated projected changes in sea surface temperature (SST) and the associated impacts on spawning habitat for skipjack tuna (Katsuwonus pelamis) in the Coral Triangle region (CT). A multimodel aggregate of SST CMIP5 models for the CT region, based on a comprehensive skill validation assessment, was used to identify the five best performing of 36 models tested for inclusion in a regional multimodel ensemble. Monthly 1° SST multimodel aggregate projections for the CT region under RCP8.5 show that increases in SST, as high as 2.8°C (mean value), will likely occur by the end of this century. Using these estimates of SST change, we applied three parameterizations of skipjack tuna spawning temperatures to assess the potential for change in spawning habitat within the CT region. The three spawning temperature parameterizations were as follows: (a) a square‐wave function derived from catch data with boundaries at 26 and 30°C; (b) a symmetric Gaussian function derived from the SEAPODYM models; and (c) an asymmetric Gaussian function that modifies the SEAPODYM curve in (b) to include the results of relevant physiological experiments. All three parameterizations show similar geographic patterns, with the amount of favourable spawning habitat decreasing throughout the central, equatorial CT region and increasing at higher latitudes. However, the three parameterizations show marked differences in the modelled magnitude of change, with an asymmetric Gaussian function (ASGF) showing a regionwide average of 66.1% decline in favourable spawning habitat between 2015 and 2099. These projected changes in tuna spawning habitats are likely to have important consequences on local and regional fisheries management in the CT region. 相似文献
15.
利用MODIS遥感数据反演东海海域海表温度的研究 总被引：7，自引：1，他引：7
介绍了MOD IS传感器的特点以及MOD IS数据反演海表温度(SST)的方法,并通过SeaDAS软件反演了2003年和2004年东海海域的海表温度,同时选取2003年2~10月间东海海域反演得到的20个SST值与同一时期的实测数据值进行比较。结果表明,利用MOD IS反演东海海域海表温度(SST)的最大误差为0.5℃,平均误差为0.23℃,标准误差为0.29℃,平均相对误差为1.0%。文章还对2004年3月、6月、9月和12月MOD IS反演的SST数据分别作124°E和29°30′N剖面分布分析,并选取2004年2~12月东海海域4个点进行海表温度月变化分析,结果与东海的实测海表温度分布一致。 相似文献
16.
SUMMARY: This study attempts to understand the color effects of artificial lures on the hooking rate of mackerel longline fisheries in Taiwan waters. From the results obtained from field work, the order of hooking rates from the different colored lures was red > black > yellow-green > yellow-orange = reddish orange = pink > white > blue > purple > transparent. Transparent, purple and blue lures had the smallest hooking rates and showed significant differences (least significant difference test) from the other colored lures. However, no significant differences could be found among the hooking rates of the other colored lures. In addition, the lumiunous reflectance of nine different gray lures did not show any significant difference in the hooking rates. Therefore, it is likely that the 'spectral' (colored) effects are the major influence causing the differences in hooking rates and the luminous effects play only a minor role in artificial lures. 相似文献
17.
《Fisheries Research》2007,84(2-3):133-144
We propose a new index based on sea surface temperature that can be used to locate local oceanic thermal features. The concept of relative spatial variability of local SST (SST RV), and the algorithm used to derive it, are introduced. The utility of this index is compared with that of SST gradient in an analysis of environmental correlates of the distribution and abundance of the hake Merluccius hubbsi (Marini, 1933) on the Patagonian shelf edge between 44.5°S and 47.0°S and around the Falkland Islands (Islas Malvinas). The SST RV and SST gradient were calculated from AVHRR SST data. SST RV is suggested to be a more sensitive index than SST gradient for detecting local oceanic thermal features such as fronts. Local hake abundance varied between years and showed strong (albeit complex) relationships with depth and SST, as well as with parameters (SST RV and SST gradient) that indicate the presence of ocean surface thermal features. Although local hake abundance was positively correlated with both SST RV and SST gradient, the former correlation was stronger and in two out of three studied months SST RV was the better predictor of CPUE. Although CPUE tended to increase with SST RV, this relationship breaks down at the highest SST RV values, possibly because hake avoid the most turbulent waters. 相似文献