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Environmental influence on commercial fishery landings of small pelagic fish in Portugal

机译:环境对葡萄牙小中上层鱼类商业化渔业登陆的影响

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Small pelagic fishes are particularly abundant in areas with high environmental variability (zones of coastal upwelling and areas of tidal mixing and river discharge), and because of this, their abundance suffers large inter-annual and inter-decadal fluctuations. In Portugal, the most important species in terms of landings are European sardine, Atlantic horse mackerel and Atlantic chub mackerel. Small pelagic fish landings account for 62.8 % of the total fish biomass and represent 32.7 % of the economical value of all catches. We have investigated trends in landings of these small pelagic fishes and detected the effects of environmental factors in this fishery. In order to explain the variability of landings of small pelagic fishes, we have used official landings (1965-2012) for trawling and purse seine fisheries and applied generalized linear models, using the North Atlantic Oscillation index (NAO) (annual and winter NAO index), sea surface temperature (SST), wind data (strength and North-South and East-West wind components) and rainfall, as explanatory variables. Regression analysis was used to describe the relationship between landings and SST. The models explained between 50.16 and 51.07 % of the variability of the LPUE, with the most important factors being winter NAO index, SST and wind strength. The LPUE of European sardine and Atlantic horse mackerel was negatively correlated with SST, and LPUE of Atlantic chub mackerel was positively correlated with SST. The use of landings of three important species of small pelagic fishes allowed the detection of variations in landings associated with changes in sea water temperature and NAO index.
机译:小型中上层鱼类在环境多变的地区(沿海上升流区和潮汐混合区和河流排泄区)特别丰富,因此,其丰富度每年发生较大的际际和年代际波动。在葡萄牙,就着陆而言,最重要的物种是欧洲沙丁鱼,大西洋Atlantic鱼和大西洋鱼。小型中上层鱼类的上岸量占鱼类总生物量的62.8%,占所有渔获物经济价值的32.7%。我们已经调查了这些小型远洋鱼类着陆的趋势,并检测了该渔业中环境因素的影响。为了解释小型中上层鱼类的着陆变化,我们使用拖网和围网渔业的官方上岸时间(1965-2012),并使用北大西洋涛动指数(NAO)(年度和冬季NAO指数)应用广义线性模型),海面温度(SST),风速数据(强度和南北风向和东西向风向)和降雨量作为解释变量。回归分析用于描述着陆与海温之间的关系。该模型解释了LPUE变异的50.16%至51.07%,其中最重要的因素是冬季NAO指数,SST和风强度。欧洲沙丁鱼和大西洋鲭鱼的LPUE与SST呈负相关,而大西洋鲭鱼的LPUE与SST呈正相关。通过使用三种重要的中上层鱼类的上岸量,可以检测出与海水温度和NAO指数变化相关的上岸量变化。

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