Length-weight relationships for common freshwater fish species in Irish lakes and rivers

IF 0.6 4区 环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES
L. Connor, Ronan Matson, F. Kelly
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引用次数: 5

Abstract

Abstract:The objective of this study was to provide fisheries researchers with a cost-effective solution to estimate the weight of a particular fish species from the hypothesis that length and weight are strongly correlated. The aim was to estimate the weight from a given length through a length–weight relationship/regression equation. Length–weight (L–W) regression equations were derived for ten of the most common fish species and two cyprinid hybrids encountered in Irish lakes and rivers (brown trout, salmon, roach, perch, eel, Arctic char, bream, pike, rudd, tench, roach x bream hybrids and roach x rudd hybrids) from an extensive dataset of approximately 228,000 individual fish over a ten-year period between 2005 and 2014. The data was collected during routine Inland Fisheries Ireland monitoring programmes from lakes and rivers across Ireland. The dataset of the three most abundant species on lakes and rivers was categorised into three alkalinity groups for further accuracy. Significant relationships were found between length and weight for all ten fish species and two cyprinid hybrids in all water body types, showing that length is a significant predictor of weight and the findings are reflective of other studies, making this a strong tool for estimating weight.
爱尔兰湖泊和河流中常见淡水鱼的长度-重量关系
摘要:本研究的目的是为渔业研究人员提供一个成本效益的解决方案,从长度和重量强相关的假设中估计特定鱼类的重量。目的是通过长度-权重关系/回归方程来估计给定长度的权重。从2005年至2014年十年间约228,000条鱼的广泛数据集中,推导出了爱尔兰湖泊和河流中最常见的十种鱼类和两种鲤科杂交(褐鳟鱼、鲑鱼、蟑螂、鲈鱼、鳗鱼、北极鲑、鲷鱼、梭子鱼、陆克鱼、tench、蟑螂与鲷鱼杂交和蟑螂与陆克鱼杂交)的长度-重量(L-W)回归方程。这些数据是在爱尔兰境内湖泊和河流的常规内陆渔业监测项目中收集的。湖泊和河流中最丰富的三种物种的数据集被分为三个碱度组,以进一步提高准确性。在所有类型的水体中,所有10种鱼类和两种鲤科杂交种的长度和体重之间都发现了显著的关系,这表明长度是体重的重要预测因子,这一发现反映了其他研究的结果,使其成为估计体重的有力工具。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
6
审稿时长
>36 weeks
期刊介绍: The journal aims to offer a broad coverage of the subject area, including the following: - biology and ecology of the Irish flora and fauna - microbial ecology - animal, plant and environmental physiology - global change - palaeoecology and palaeoclimatology - population biology; conservation of genetic resources - pollution and environmental quality; ecotoxicology - environmental management - hydrology - land use, agriculture, soils and environment. Submissions on other relevant topics are also welcome, and papers of a cross-disciplinary nature are particularly encouraged.
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