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Effect of fish shape on gillnet selectivity: a study with Fulton's condition factor

机译:鱼形对刺网选择性的影响:富尔顿条件因子的研究

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摘要

The Eurasian perch, Perca fluviatilis (L.), was fished with Nordic multimesh gillnets, the mesh size combination of which was based on geometric series. From the test fishing data the fish girth was found to be linearly related to the third root of fish weight and therefore the fish girth could be estimated indirectly with Fulton's condition factor K. Two different response surface models based on B-type gillnet selectivity model were fitted to the empirical data: one model with Fulton's K and one without (simple model). The Fulton's K-model had narrower Monte Carlo simulated 95% confidence interval than the simple model. Simulation studies showed that the traditional simple model without Fulton's K does not have a linear relationship between mesh size and fish length, which violates the classical principle of Baranov's theorem on geometric similarity of fish of different sizes. Therefore the simple model derived from one population is not applicable to another population if there are differences in fish condition. However, if as is the case for Nordic multimesh gillnets with a mesh size combination based on geometric series like Nordic multimesh gillnets, this error is minimal because adjacent mesh sizes cover each other and correct this error.
机译:欧亚鲈鱼Perca fluviatilis(L.)是用北欧多网刺网捕鱼的,网眼大小的组合是基于几何序列的。根据测试捕鱼数据,发现鱼肚与鱼重的第三个根呈线性关系,因此可以使用富尔顿条件因子K间接估算鱼肚。基于B型刺网选择性模型的两种不同的响应面模型是根据经验数据进行拟合:一种模型具有Fulton的K,而另一种模型则没有(简单的模型)。与简单模型相比,Fulton的K模型具有更窄的Monte Carlo模拟95%置信区间。仿真研究表明,没有富尔顿K的传统简单模型在网眼大小和鱼长之间没有线性关系,这违反了巴拉诺夫定理关于不同大小鱼的几何相似性的经典原理。因此,如果鱼的状况存在差异,则从一个种群得出的简单模型不适用于另一种群。但是,如果像具有基于几何序列的网状尺寸组合的北欧多网刺网(如北欧多网刺网)一样,则此错误是最小的,因为相邻的网孔大小会相互覆盖并纠正此错误。

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