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首页> 外文期刊>Fisheries Research >Oceanographic characteristics at fish aggregating device sites for tuna pole-and-line fishery in eastern Indonesia
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Oceanographic characteristics at fish aggregating device sites for tuna pole-and-line fishery in eastern Indonesia

机译:在印度尼西亚东部金枪鱼杆线渔业鱼聚集装置网站的海洋特征

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摘要

The research was conducted to investigate the oceanographic characteristics at three traditional anchored Fish Aggregating Device (FADs) sites for tuna pole-and-line fishery in eastern Indonesia. The FADs locations, and sea surface temperature (SST) and chlorophyll-a (chl-a), salinity (sal), wave height (way), wind (win) current (cur) were examined using a geographic information system (GIS). Relationships between Catch-per-Trip (CPT) with oceanographic characteristics (SST, chl-a, sal, way, win and cur), were analysed using correlation and generalised additive models (GAMs) analyses. Correlation analyses was used in order to determine how strongly pairs of variables were related to one another, and generalised additive models (GAMs) were used in order to model relationships between Catch-per-Trip (response variable) and the oceanographic variables SST, chl-a, sal, way, win and cur (predictor variables). Correlation analyses showed that significantly negative correlations were found in entire locations between SST and chl-a while in contrarily, the lowest correlation was found between CPT and chl-a. Furthermore, the GAM plots indicated that a positive association was observed between catch-per-trip and SST with approximately > 26.5 degrees C, chl-a was < 0,4 mg/m(3), salinity was observed between > 33 to < 34.5 (psu) for entire sites while way was found at > 0.23 for Sorong and > 0,87 (m) in Larantuka and < 0.64 in Pulau Bacan. Win variable had positive effects at > 4.1 m/s in entire research sites while cur had a positive effect on CPT occurred at < 56 (m/s) for entire locations. The GAM models showed that SST explains up to 20 % whereas chl-a explains as the lowest variable (up to 0.78 % of the deviances) in skipjack CPT relationships, and the addition of predictor variables resulted in an increase in the deviance explained. This research provides evidence that skipjack tuna CPT has relationship with oceanographic variables in eastern Indonesia.
机译:进行了该研究,以研究印度尼西亚东部金枪鱼柱和线路渔业三种传统锚定鱼聚集装置(FADS)地点的海洋特征。使用地理信息系统(GIS)检查时载位置和海表面温度(SST)和叶绿素-A(CHL-A),盐度(SAL),波高(CUR),风(WIN)电流(CUR) 。使用相关性和广义添加剂模型(Gams)分析,分析了海洋特征(SST,CHL-A,SAL,SAL,WIN和CUS,WIN和RIN和CUR)之间的关系(CPT)之间的关系。使用相关性分析以确定彼此相关的变量对有多强度,并且使用广义添加剂模型(GAMS)来以模拟捕获量(响应变量)和海洋变量SST,CHL之间的关系模拟关系。 -A,SAL,Way,Win和Cur(预测变量)。相关分析表明,在SST和CHL-A之间的整个位置中发现了显着的负相关性,而CPT和CHL-A之间的相关性是最低的相关性。此外,GAM曲线表明,在捕获的捕获和SST之间观察到阳性关联,具有约> 26.5℃,CHL-A为<0.4mg / m(3),在> 33之间观察到盐度至< 34.5(PSU)对于整个遗址,在Larantuka和Pulau Bacan的Larantuka和<0.64中发现> 0.23(m)。 Win变量在整个研究网站中具有阳性效应> 4.1米/秒,而Cur对整个位置的<56(M / S)发生了积极影响。 GAM模型表明,SST最高可达20%,而CHL-A以Skipjack CPT关系中的最低变量(高达0.78%)解释,并且添加预测变量导致偏差的增加导致偏差。本研究提供了证据表明Skipjack金枪鱼CPT与印度尼西亚东部的海洋变量有关系。

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