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Pelagic fish assemblages assessed using mid-water baited video: standardising fish counts using bait plume size

机译:使用中水诱饵视频评估浮游鱼类的组合:使用诱饵羽流大小标准化鱼类计数

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We used a novel mid-water baited remote underwater video (BRUV) technique to survey pelagic and mid-water fish assemblages at Lord Howe Island Marine Park, off eastern Australia (31.5° S, 159.1°E). We found differences in assemblages among regions separated on a scale of ~10s of kilometres. Of the environmental variables measured in the present study (depth, temperature, water current speed), current speed had the greatest influence on the structure of pelagic assemblages. Carcharhinus galapagensis, Seriola rivoliana and Scomber australasicus had similar distributions and were associated with low flow environments. Seriola lalandi was associated with the higher flow environments sampled during our surveys, although current speeds in the sample area were relatively slow (0.03 to 0.34 m s~(-1); mean 0.17 m s~(-1)). Relationships between pelagic assemblages and current speed were detected when abundances were calculated using an area-based approximation for plume dispersal, but were not detected using a linear approximation, or when current was assumed constant across all BRUV deployments. Our results demonstrate the difficulty in separating the dual effects of current speed in BRUV studies: the effect of current on bait plume size and associated estimates of fish abundance, and the role of current as an aspect of preferred pelagic fish habitat. We recommend the use of area-based approximations of plume dispersal and the inclusion of accurate estimates of current speed as a statistical covariate when interpreting mid-water BRUV data. Our results indicate that oceanographic characteristics can be important for pelagic fish habitat selection over the scale of kilometres and should be considered during marine protected area zoning.
机译:我们使用了一种新颖的中水诱饵远程水下视频(BRUV)技术在澳大利亚东部沿海(31.5°S,159.1°E)的豪勋爵岛海洋公园调查中上层和中层鱼类组合。我们发现,各个区域之间的组装差异很大,相距约10千米。在本研究中测量的环境变量(深度,温度,水流速度)中,水流速度对浮游组件的结构影响最大。迦勒hin鱼(Carcharhinus galapagensis),河鲈(Seriola rivoliana)和南方梳子(Scomber australasicus)具有相似的分布并且与低流量环境有关。 Seriola lalandi与我们在调查中采样的较高流动环境有关,尽管样本区域中的当前速度相对较慢(0.03至0.34 m s〜(-1);平均为0.17 m s〜(-1))。当使用基于面积的羽流扩散近似值计算丰度时,检测到上层组合与电流速度之间的关系,但使用线性近似法则未检测到上层组合与电流速度之间的关系,或者在所有BRUV部署中假定电流恒定时,都检测到了上层组合与电流速度之间的关系。我们的结果证明了在BRUV研究中难以区分当前速度的双重影响:当前对诱饵羽流大小的影响以及相关的鱼类丰度估计,以及当前作为首选中上层鱼类栖息地的作用。我们建议在解释中层BRUV数据时,使用基于区域的羽流扩散近似值,并包括当前速度的准确估计值作为统计协变量。我们的结果表明,海洋学特征对于选择千米以上的中上层鱼类栖息地可能非常重要,应在海洋保护区分区中加以考虑。

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