{"title":"爱尔兰湖泊和河流中常见淡水鱼的长度-重量关系","authors":"L. Connor, Ronan Matson, F. Kelly","doi":"10.3318/BIOE.2017.07","DOIUrl":null,"url":null,"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.","PeriodicalId":55370,"journal":{"name":"Biology and Environment-Proceedings of the Royal Irish Academy","volume":"43 1","pages":"65 - 75"},"PeriodicalIF":0.6000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Length-weight relationships for common freshwater fish species in Irish lakes and rivers\",\"authors\":\"L. Connor, Ronan Matson, F. Kelly\",\"doi\":\"10.3318/BIOE.2017.07\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":55370,\"journal\":{\"name\":\"Biology and Environment-Proceedings of the Royal Irish Academy\",\"volume\":\"43 1\",\"pages\":\"65 - 75\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biology and Environment-Proceedings of the Royal Irish Academy\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.3318/BIOE.2017.07\",\"RegionNum\":4,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biology and Environment-Proceedings of the Royal Irish Academy","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3318/BIOE.2017.07","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Length-weight relationships for common freshwater fish species in Irish lakes and rivers
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.
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.