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1.
2004年北太平洋柔鱼钓产量分析及作业渔场与表温的关系 总被引：1，自引：0，他引：1
根据2004年5~11月我国鱿钓船在北太平洋生产数据,结合表温资料,按经纬度1°×1°的格式,利用Marineexplorer 4.0软件作图进行柔鱼钓产量及渔场与表温的关系分析。结果表明,5~7月在160°E以东海域作业,产量较低;8~10月在150°~160°E海域作业,为生产作业的产量高峰期,占总产量的62.5%;11月在150°E以西海域作业,产量也较低。在150°E以西海域CPUE最高,150°~160°E中部海域次之,160°E以东海域最低。作业渔场的适宜表温呈现出季节性变化。各月适宜表温分别为:5月12~14℃;6月15~16℃;7月14~16℃;8月18~19℃;9月16~17℃;10月15~16℃;11月12~13℃。 相似文献
2.
根据2000年中国鱿钓船在西南大西洋的生产统计和表温资料,按经纬度1°×1°进行统计,并用渔业地理信息软件MarineExplorer4 .0进行叠加分析。结果表明, 1~5月阿根廷滑柔鱼分布中心集中在45°S、60°W附近海域。各月产量和平均日产量有较大的变动,其中以2~3月为最高。1~5月作业渔场的适宜表温范围为7~14℃,并经过K S检验。但各月的适宜表温有所不同, 2月为11 ~12℃, 3月为10 ~12℃, 4月为8 ~9℃, 5月为7 ~8℃。在表温比往年稍偏高的作业海域,有利于渔场的形成和产量提高。 相似文献
3.
基于频度统计和神经网络的北太平洋柔鱼渔场预报模型比较 总被引：1，自引：0，他引：1
利用2004~2010年北太平洋鱿钓船队生产数据和海洋环境数据,以海表温度(SST)1℃、海面高度(SSH)为1 cm、叶绿素a浓度(CHL-a)为0.1 mg/m3的间距,分析作业产量、CPUE与SST、SSH、CHL-a的关系,得到柔鱼渔场适宜环境因子范围,并将生产数据和环境数据匹配组成样本集,建立北太平洋柔鱼空间分布BP神经网络模型;利用2011年环境数据预报柔鱼渔场,并与2011年实际生产数据进行对比。结果表明,6~10月各月实际作业位置落入基于频度统计方法预报渔场的概率达90%以上;而BP模型预报的平均精度为79.2%,最低精度为52.5%。基于多环境因子的频度统计柔鱼渔场预报模型优于神经网络模型。 相似文献
4.
《广东海洋大学学报》2018,(6)
【目的】建立西北太平洋秋刀鱼资源丰度预报模型,为其资源的可持续开发与管理提供参考依据。【方法】根据2000—2013年西北太平洋秋刀鱼(Cololabis saira)渔业数据及海洋环境数据,包括产卵场与索饵场表面温度(sea surface temperature, SST)、太平洋年代气候震荡(Pacific Decadal Oscillation,PDO)和厄尔尼诺指数(Trans-NinoIndex,TNI),建立西北太平洋秋刀鱼资源丰度灰色预报模型。【结果】比较建立的5种灰色系统模型的相对误差和相关系数,选择最优预报模型。最优模型结果表明,影响西北太平洋秋刀鱼资源丰度的环境因子重要性依次为TNI、PDO、产卵场SST、索饵场SST。【结论】基于产卵场SST、PDO、TNI的GM(1,4)模型,相关系数高达0.7598且平均相对误差为36.64%,可作为西北太平洋秋刀鱼资源丰度预报模型,能够预报其资源状况变动,建议使用该模型指导渔业企业生产。 相似文献
5.
《广东海洋大学学报》2016,(3)
根据2010—2015年上海某远洋渔业公司在毛里塔尼亚的生产统计数据,结合卫星遥感资料,研究毛里塔尼亚海域底拖网头足类渔场与表温(SST)、海面高度距平均值(SSHA)、水深等海洋环境因子的关系。结果表明,头足类渔场分布与SST、SSHA、水深等因子关系密切,各月作业渔场的适宜环境范围有一定的差异;作业渔场分布在SST为15~28℃的海域,最适SST范围为16~22℃;作业渔场分布在SSHA为-50~10 cm的海域,最适SSHA范围为-20~-40 cm和-10~10 cm;作业渔场分布水深为10~90 m的海域,最适水深为50~70 m。 相似文献
6.
水温变动对2009年西北太平洋柔鱼产量下降的影响 总被引：1，自引：0，他引：1
分布在西北太平洋的柔鱼是我国远洋鱿钓渔业的重要捕捞对象,近些年来其产量一直处在稳定的水平。然而,2009年8～10月旺汛期间在传统作业渔场(150°E～165°E、38°E～46°E)柔鱼产量出现大幅度下降,其日产量仅为正常年份的一半。为此,根据2007～2009年8～10月我国在西北太平洋鱿钓生产数据,以及产卵场表层水温,探讨2009年柔鱼产量下降及渔场变动的原因。研究表明,其产量出现下降的原因可能有2个:(1)柔鱼产卵场(20°N～30°N,130°E～170°E)黑潮大弯曲的发生,使得21℃等温线向南偏移,使得柔鱼资源补充量受到影响,从而使得渔汛期间柔鱼产量的下降;(2)旺汛期间(8～9月)传统作业渔场(42°N～46°N,150°E～165°E)的100m水层有一个明显冷水南下,分布位置为154°E～156°E,将传统作业渔场(150E～165°E)一分为二,向南的前锋(水温低于5℃)到达42°N,明显不同于正常年份,使得作业渔场的范围明显缩小,不适合柔鱼的集群,导致产量出现大幅下降。 相似文献
7.
《广东海洋大学学报》2017,(4)
根据1995-2014年西北太平洋秋刀鱼渔业渔获量、单位捕捞努力量渔获量(CPUE)、其产卵场的表温(sea surface temperature,SST)及太平洋年代气候振动(Pacific Decade Oscillation,PDO),分别以PDO因子纳入和不纳入,建立基于SST因子的剩余产量模型,分析SST与PDO对秋刀鱼资源的影响。结果显示,3月产卵场132°30′E、35°30′N的SST与CPUE关系密切,可作为表征资源丰度的因子;加入PDO的影响后,SST与CPUE的关系更加密切。研究表明,秋刀鱼资源量和持续产量的变动受捕捞努力量、产卵场SST和PDO控制。建议在渔业管理中应根据各年海洋环境状况来确定最大可持续产量,并实时调整管理方案。 相似文献
8.
《广东海洋大学学报》2015,(6)
根据1989—2012年西北太平洋秋刀鱼(Cololabis saira)的单位捕捞努力量渔获量(CPUE)以及对应的海洋环境因子数据,包括1-12月各月的Trans-Nino指数(TNI)、1月黑潮区域海表面温度(SST_(黑潮))、6月亲潮海表面温度(SST_(亲潮)),采用BP神经网络预报模型,对西北太平洋秋刀鱼资源丰度进行预测分析。通过10种神经网络模型比较,以及实际CPUE的验证,以拟合残差最小的预报模型作为最优预报模型。研究表明:各月TNI指数、1月黑潮区域海表面温度、6月亲潮海表面温度对西北太平洋秋刀鱼资源丰度影响显著,结构为14-10-1的BP神经网络模型相对误差仅为0.000 681,可作为西北太平洋秋刀鱼资源丰度的预报模型。 相似文献
9.
对 2 0 0 0年 5～ 7月北太平洋中东部海域鱿钓探捕调查所获的不同深度海水温度和柔鱼渔获量等资料进行分析 ,结果表明在西经调查水域的 1 74°W和 1 71°W附近 ,1 0 0m ,2 0 0m和 3 0 0m水温分布均形成明显的暖水舌 ,其特征水温依次为 1 0～ 1 1℃ ,9～ 1 0°C及 8～ 9°C ;在东经调查水域 ,表层以下各层水温较往年有所偏低 1～ 2度。分析结果还表明 ,西经调查水域的中心渔场均处在暖水舌前锋一侧 ,中心渔场形成的水温指标为 :表层 1 3～ 1 4°C ,1 0 0m水层 1 0～ 1 1°C、2 0 0m水层 9～ 1 0°C及 3 0 0m水层 8～ 9°C ;在东经调查水域 ,调查期间没有形成中心渔场 ,这可能与深层水温偏低有关 相似文献
10.
西北太平洋柔鱼资源与海洋环境的GIS空间分析 总被引：12，自引：0，他引：12
本文根据1995～2001年的西北太平洋地区(35°N～45°N,140°E～170°W)巴特柔鱼资源调查与生产的实际情况对柔鱼渔获量进行了研究,并利用同期遥感反演的海洋表层温度数据(SST)和近表层叶绿素a数据(Chlorophylla),拓展了GIS的空间分析功能,定量地研究了我国远洋柔鱼产量与水温、叶绿素等海洋要素场之间的关系,揭示西北太平洋柔鱼中心渔场的环境特征,以期为我国西北太平洋海区的鱿鱼生产服务。 相似文献
11.
<正>柔鱼(Ommastrephes bartramii)广泛分布在北太平洋,20世纪70年代初首先由日本鱿钓船开发,我国大陆于1993年开始利用该资源,1994年进行较大规模地商业性生产。目前北太平洋鱿钓渔业已成为我国远洋渔业的支柱[1]。据估计,历史上北太平洋柔 相似文献
12.
ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＷｅｓｔｅｒｎＰａｃｉｆｉｃＷａｒｍＰｏｏｌ (ＷＰ)ｉｓａｓｅａａｒｅａｗｈｅｒｅｓｅａｓｕｒｆａｃｅｔｅｍｐｅｒａｔｕｒｅ (ＳＳＴ)ｉｓｔｈｅｈｉｇｈｅｓｔｉｎｔｈｅｇｌｏｂａｌｏｃｅａｎｓａｎｄａｉｒ ｓｅａｉｎｔｅｒａｃｔｉｏｎｉｓｔｈｅｍｏｓｔｖｉｏｌｅｎｔｉｎｔｈｅＰａｃｉｆｉｃ.Ｍａｎｙｒｅ ｃｅｎｔｒｅｓｅａｒｃｈｅｓｓｈｏｗｅｄｔｈａｔｖａｒｉａｔｉｏｎｓｉｎｔｈｅｔｈｅｒｍａｌｃｏｎｄｉｔｉｏｎｓ (ｉｎＳＳＴ ,ｅｓｐｅｃｉａｌｌｙ)ｏｆｔｈｅＷＰｐｌａｙ… 相似文献
13.
Temporal and spatial scales play important roles in fishery ecology, and an inappropriate spatio-temporal scale may result in large errors in modeling fish distribution. The objective of this study is to evaluate the roles of spatio-temporal scales in habitat suitability modeling, with the western stock of winter-spring cohort of neon flying squid(Ommastrephes bartramii) in the northwest Pacific Ocean as an example. In this study, the fishery-dependent data from the Chinese Mainland Squid Jigging Technical Group and sea surface temperature(SST) from remote sensing during August to October of 2003–2008 were used. We evaluated the differences in a habitat suitability index model resulting from aggregating data with 36 different spatial scales with a combination of three latitude scales(0.5°, 1° and 2°), four longitude scales(0.5°, 1°, 2° and 4°), and three temporal scales(week, fortnight, and month). The coefficients of variation(CV) of the weekly, biweekly and monthly suitability index(SI) were compared to determine which temporal and spatial scales of SI model are more precise. This study shows that the optimal temporal and spatial scales with the lowest CV are month, and 0.5° latitude and 0.5° longitude for O. bartramii in the northwest Pacific Ocean. This suitability index model developed with an optimal scale can be cost-effective in improving forecasting fishing ground and requires no excessive sampling efforts. We suggest that the uncertainty associated with spatial and temporal scales used in data aggregations needs to be considered in habitat suitability modeling. 相似文献
14.
The eastern fall cohort of the neon flying squid, Ommastrephes bartramii, has been commercially exploited by the Chinese squid jigging fleet in the central North Pacific Ocean since the late 1990s. To understand and identify their optimal habitat, we have developed a habitat suitability index (HSI) model using two potential important environmental variables - sea surface temperature (SST) and sea surface height anomaly (SSHA) - and fishery data from the main fishing ground (165°-180°E) during June and July of 1999-2003. A geometric mean model (GMM), minimum model (MM) and arithmetic weighted model (AWM) with different weights were compared and the best HSI model was selected using Akaike’s information criterion (AIC). The performance of the developed HSI model was evaluated using fishery data for 2004. This study suggests that the highest catch per unit effort (CPUE) and fishing effort are closely related to SST and SSHA. The best SST- and SSHA-based suitability index (SI) regression models were SISST-based = 0.7SIeffort-SST + 0.3 SICPUE-SST, and SISSHA-based = 0.5SIeffort-SSHA + 0.5SICPUE-SSHA, respectively, showing that fishing effort is more important than CPUE in the estimation of SI. The best HSI model was the AWM, defined as HSI=0.3SISST-based+ 0.7SISSHA-based, indicating that SSHA is more important than SST in estimating the HSI of squid. In 2004, monthly HSI values greater than 0.6 coincided with the distribution of productive fishing ground and high CPUE in June and July, suggesting that the models perform well. The proposed model provides an important tool in our efforts to develop forecasting capacity of squid spatial dynamics. 相似文献
15.
The rate of regional sea level rise(SLR) provides important information about the impact of human activities on climate change.However,accurate estimation of regional SLR can be severely affected by sea surface height(SSH) change caused by the Pacific Decadal Oscillation(PDO-SSH).Here,the PDOSSH signal is extracted from satellite altimeter data by multi-variable linear regression,and regional SLR in the altimeter era is calculated,before and after removing that signal.The results show that PDO-SSH trends are rising in the western Pacific and falling in the eastern Pacific,with the strongest signal confined to the tropical and North Pacific.Over the past 20 years,the PDO-SSH accounts for about 30%-40%of altimeter-observed SLR in the regions 8°-15°N,130°-160°E and 30°-40°N,170°-220°E.Along the coast of North America,the PDO-SSH signal dramatically offsets the coastal SLR,as the sea level trends change sign from falling to rising. 相似文献
16.
Generalized linear models (GLM) and generalized additive models (GAM) were used to standardize catch per unit fishing effort
(CPUE) of Ommastrephes bartramii for Chinese squid-jigging fishery in Northwest Pacific Ocean. Three groups of variables were considered in the standardization:
spatial variables (longitude and latitude), temporal variables (year and month) and environmental variables, including sea
surface temperature (SST), sea surface salinity (SSS) and sea level height (SLH). CPUE was treated as the dependent variable
and its error distribution was assumed to be log-normal in each model. The model selections of GLM and GAM were based on the
finite sample-corrected Akaike information criterion (AICC) and pseudo-coefficient (Pcf) combined P-value, respectively. Both GAM and GLM analysis showed that the month was the most important variable affecting CPUE and could
explain 21.3% of variability in CPUE while other variables only explained 8.66%. The interaction of spatial and temporal variables
weakly influenced the CPUE. Moreover, spatio-temporal factors may be more important in influencing the CPUE of this squid
than environmental variables. The standardized and nominal CPUEs were similar and had the same trends in spatio-temporal distribution,
but the standardized CPUE values tended to be smaller than the nominal CPUE. The CPUE tended to have much higher monthly variation
than annual variations and their values increased with month. The CPUE became higher with increasing latitude-high CPUE usually
occurred in 145°E–148°E and 149°E–162°E. The CPUE was higher when SST was 14–21°C and the SLH from −22 cm to −18 cm. In this
study, GAM tended to be more suitable than GLM in analysis of CPUE. 相似文献
17.
Using the NCEP/NCAR reanalysis dataset from 1959-2004, the location and strength of the ITCZ (Inter-Tropical Con-vergence Zone), as well as their relations with typhoons in the northwestern Pacific were studied. It was found that the pentad loca-tion and strength of the ITCZ had close relations with the typhoon frequency. Higher latitude location or strengthened ITCZ were found to be favorable for the occurrence of typhoons over the Northwestern Pacific. An index was defined for ascertaining the loca-tion of the ITCZ. It was found that the index defined with the maximum value ofpentad and monthly meridional shear of zonal wind speed could better describe the location of ITCZ than another index defined with the maximum value of convergence. Correlation analysis between the index of ITCZ and the maximum cloud cover in the tropics showed that there were close relations between the ITCZ determined by the index and the maximum tropical cloud belt. The strength index of an ITCZ was defined as the zonal wind speed difference at latitudes south and north of the ITCZ. It was found that there are close relations between the ITCZ intensity and typhoon occurrence in the South China Sea [10°N-20°N, 100°E-120°E] and regions east of the Philippines and near the Mariana Islands [5°N-20°N, 127.5°E-150°E]. 相似文献