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首页> 外文期刊>Reviews in Fish Biology and Fisheries >Estimating weight–length relationships without individual weight data: an application to the American lobster (Homarus americanus) fishery of Long Island Sound
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Estimating weight–length relationships without individual weight data: an application to the American lobster (Homarus americanus) fishery of Long Island Sound

机译:在没有个人体重数据的情况下估算体重与身长的关系:在长岛湾的美国龙虾(美国大螯虾)渔业中的应用

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The estimation of weight–length relationship of fish species requires having data on individual weight and length. However, individual weight data are often not available because they are too expensive or not feasible to gather and the relationship cannot be explicitly estimated. Yet, in this paper I develop a simple methodology that allows me to estimate a weight–length relationship when only aggregate weight data are available. To show its usefulness, the methodology is applied to the American lobster (Homarus americanus) population of Long Island Sound. Results indicate the existence of isometric growth for American lobsters in this geographical location: W = 0.000924L 2.9619. The estimated relationship is used to predict individual weight of lobsters which are then used to construct biomass indexes for three size classes of lobsters for the time period 1987–2006. This analysis suggests that is not necessary to invest efforts in collecting individual weight data to be able to construct meaningful indicators of fish population.
机译:估计鱼的体重与长度的关系需要掌握个体重量和长度的数据。但是,单个权重数据通常不可用,因为它们太昂贵或无法收集并且无法明确估计该关系。但是,在本文中,我开发了一种简单的方法,当只有总重量数据可用时,我可以估算重量与长度的关系。为了证明其有用性,该方法被应用于长岛湾的美国龙虾(Homarus americanus)种群。结果表明,美国龙虾在以下地理位置存在等距增长:W = 0.000924L 2.9619 。估计的关系用于预测龙虾的个体重量,然后将其用于构建1987-2006年期间三类龙虾的生物量指标。该分析表明,不必花费精力来收集个人体重数据就能够构建有意义的鱼类种群指标。

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