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首页> 外文期刊>Knowledge and Management of Aquatic Ecosystems >Relationship between horizontal hydroacoustic stock estimates and gillnet catches of surface-oriented fish in shallow Lake Balaton (Hungary)
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Relationship between horizontal hydroacoustic stock estimates and gillnet catches of surface-oriented fish in shallow Lake Balaton (Hungary)

机译:巴拉顿湖浅水鱼类的水平水声种群估计与刺网渔获物之间的​​关系(匈牙利)

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We examined whether gillnetting and hydroacoustics provide comparable relative fish density and fish size distribution estimates in the uppermost water layer of a shallow turbid lake and whether the inclusion of environmental and stock parameters could improve comparability of data between different gears. According to gillnetting, most fish shorter than 14 cm in total length were Alburnus alburnus, and most fish longer than 14 cm were Pelecus cultratus. Size distributions and median sizes obtained from gillnetting and acoustics differed. Pure acoustics-derived density estimates accounted for only <8.8% of the variation in the gillnet catch by number and no correlation was found in biomass indices. Most variances observed in the gillnet catch-per-unit-effort data were associated with water transparency, none of the other investigated variables had significant explanatory power. We conclude that the feasibility of establishing a powerful model describing the relationship between fish density estimates of gillnetting and acoustics is low in shallow and turbid habitats, and it might be successful only if the crucial sampling and environmental parameters affecting catch efficiency of gillnets and post-processing of acoustic data are considered. This study cautions again that gillnetting should be used carefully to analyse trends of fish abundance.
机译:我们研究了刺网法和水声法是否能在浅浊湖的最上层水层中提供可比的相对鱼密度和鱼尺寸分布估计,以及是否包含环境参数和种群参数可以提高不同渔具之间数据的可比性。根据刺网法,总长短于14厘米的鱼大多数是Al木,长于14厘米的大多数鱼是深海鲈鱼。从刺网和声学获得的尺寸分布和中间尺寸有所不同。纯声学估计的密度仅占刺网捕捞数量变化的<8.8 %,在生物量指数中未发现相关性。在刺网每单位努力量数据中观察到的大多数差异与水的透明度有关,其他调查变量均没有显着的解释力。我们的结论是,在浅水和浑浊的生境中建立描述刺网鱼类密度估计值与声音之间关系的强大模型的可行性很低,只有在关键的采样和环境参数影响刺网捕捞效率和后期捕捞效率的前提下,该模型才可能成功。考虑声学数据的处理。这项研究再次提醒人们,应谨慎使用刺网法来分析鱼的丰度趋势。

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