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首页> 外文期刊>ICES Journal of Marine Science >Accounting for length- and depth-dependent diel variation in catchability of fish and invertebrates in an annual bottom-trawl survey
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Accounting for length- and depth-dependent diel variation in catchability of fish and invertebrates in an annual bottom-trawl survey

机译：在年度底拖网调查中解释鱼类和无脊椎动物的可捕捞性中与长度和深度有关的迪尔变异

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摘要

Diel variation in the catchability of 51 species of fish and 13 invertebrate taxa from an annual bottom-trawl survey of the southern Gulf of St. Lawrence was examined using generalized linear (Poisson) models. Two approaches were used: comparative fishing based on spatially paired day and night tows, and statistical control of spatio-temporal effects in regular survey data. The two approaches provided remarkably similar results. Furthermore, species-specific results were consistent between survey time periods where different vessels were used, and were quite comparable to results from other studies conducted in separate geographic areas. Where sufficient data existed, we considered both length and depth dependencies in diel variation in catchability. We commonly found significant length dependency for groundfish species and the pervasive pattern was for higher nighttime catches of small fish, the magnitude of the effect generally decreasing with increasing length. In contrast, water depth had a much less important impact, except for a few species. When considered jointly, however, patterns in length/depth dependency were not always clear. Given length-dependent geographic and bathymetric patterns in species distribution, the potential for confounding length and depth dependencies exists and correction factors for diel variation in catchability need to be applied cautiously.
机译：使用广义线性（泊松）模型，对圣劳伦斯湾南部的年度底拖网调查中的51种鱼类和13种无脊椎动物类群的Diel变化进行了研究。使用了两种方法：基于空间配对的昼夜拖丝进行比较捕鱼，以及定期调查数据中时空影响的统计控制。两种方法提供了非常相似的结果。此外，在使用不同容器的调查时间段之间，特定物种的结果是一致的，并且与在不同地理区域进行的其他研究的结果相当。在存在足够数据的情况下，我们考虑了长度和深度的依存性，即迪尔变化的可捕获性。我们通常发现底栖鱼类具有明显的长度依赖性，普遍的模式是夜间捕捞的小鱼较多，影响的幅度通常随着长度的增加而降低。相比之下，水深度的影响远不如其他物种重要。但是，当一起考虑时，长度/深度依赖性的模式并不总是很清楚。给定物种分布中与长度相关的地理和测深图模式，存在混淆长度和深度相关性的可能性，并且需要谨慎地应用可捕获性中diel变化的校正因子。

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