首页> 外文OA文献 >Quantifying fish escape behaviour through large mesh panels in trawls based on catch comparision data – model development and a case study from Skagerrak In: ICES (2012) Report of the ICES-FAO Working Group on Fishing Gear Technology and Fish Behaivour (WGFTFB), 23-27 April 2012, Lorient, France. ICES CM 2012/SSGESST:07
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Quantifying fish escape behaviour through large mesh panels in trawls based on catch comparision data – model development and a case study from Skagerrak In: ICES (2012) Report of the ICES-FAO Working Group on Fishing Gear Technology and Fish Behaivour (WGFTFB), 23-27 April 2012, Lorient, France. ICES CM 2012/SSGESST:07

机译:根据渔获量比较数据,通过拖网中的大网格板量化鱼类逃逸行为 - 模型开发和斯卡格拉克的案例研究In:ICEs(2012)ICEs-粮农组织渔具技术和鱼类行为工作组报告(WGFTFB),23 -27 april 2012,Lorient,France。 ICEs Cm 2012 / ssGEssT:07

摘要

Based on catch comparison data, it is demonstrated how detailed and quantitative information about species-specific and size dependent escape behaviour in relation to a large mesh panel can be extracted. A new analytical model is developed, applied, and compared to the traditional modelling approach for such data. As a case study, we used data collected with a twin trawl setup. The only difference between the two 120 mm trawls was that a 12 meter long section in the upper panel was replaced with 800 mm diamond meshes (LMTP) in one of them. Based on this very large mesh size, we assumed that all individuals that contacted the panel also escaped through it. The new analytical method was applied to quantify escape behaviour for cod, haddock, saithe and Nephrops of different sizes. There was a need to include the full gear selec-tivity in the trawl, and we show how this selectivity can bias the interpretation of the length based escapement behaviour over the large mesh panel. Our length based behavioural description is in good agreement with direct observations of the same species in the trawl cavity reported in literature. Fish behaviour understanding is essential. Observations are often difficult using opti-cal devices such as cameras. The alternative is to use catch data to reconstruct behav-iour. Every fish in every haul counts. Bootstrapping can be used. An experimental catch comparison index was calculated. Length frequency distributions and catch comparison rates are not suitable to infer behavioural patterns. A full gear selectivity model was developed in which data of low lengths was deleted and double boot-strapping is used. Catching is a sequential process. Panel contact was assumed lead-ing to escape. Flounder shows strong length dependent escape behaviour. Curves were presented for COD, HAD, LEM, POL, and WTH. Comments made on knife-edge curves found for cod using stochastic simulation, apparently caused by data weakness. LMTP affects fish but not Nephrops
机译:基于捕获量比较数据,证明了如何提取与大型网状面板有关的特定物种和大小相关逃逸行为的详细和定量信息。开发,应用了新的分析模型,并将其与此类数据的传统建模方法进行了比较。作为案例研究,我们使用了双拖网渔具收集的数据。这两个120毫米拖网之间的唯一区别是,上面板中12米长的部分被其中一个替换为800毫米菱形网(LMTP)。基于这个很大的网格,我们假设所有与面板接触的人也都逃脱了。新的分析方法用于量化不同大小的鳕鱼,黑线鳕,saithe和Nephrops的逃逸行为。有必要在拖网中包括全齿轮选择性,并且我们将展示这种选择性如何使大型网片上基于长度的擒纵性能的解释产生偏差。我们基于长度的行为描述与文献中对拖网腔中相同物种的直接观察非常吻合。对鱼类行为的了解至关重要。使用诸如照相机之类的光学设备通常很难观察。另一种方法是使用捕获数据来重构行为。每拖运中的每条鱼都很重要。可以使用引导程序。计算了实验渔获比较指数。长度频率分布和捕获比较率不适合推断行为模式。建立了全齿轮选择性模型,其中删除了低长度数据,并使用了双引导捆扎。捕捉是一个顺序的过程。小组接触被认为是逃跑的线索。比目鱼表现出很强的长度依赖性逃逸行为。给出了COD,HAD,LEM,POL和WTH的曲线。使用随机模拟对发现的鳕鱼的刀口曲线进行了评论,这显然是由于数据不足造成的。 LMTP影响鱼类,但不影响肾

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