Development and application of an ecological classification tool for fish in lakes in Ireland |
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| Institution: | 1. Inland Fisheries Ireland, Swords Business Campus, Swords, Co. Dublin, Ireland;2. Agri-Food and Biosciences Institute, Newforge Lane, Belfast BT9 5PX, Northern Ireland, United Kingdom;1. Department of Forestry and Natural Resources, Clemson University, 115 Lehotsky Hall, Clemson, SC 29634, United States;2. Department of Parks, Recreation, and Tourism Management, 271A Lehotsky Hall, Clemson University, Clemson, SC 29634, United States;3. Department of Mathematical Sciences, Clemson University, 110 Martin Hall, Clemson, SC 29634, United States;4. Department of Forestry and Natural Resources, Clemson University, 118 Lehotsky Hall, Clemson, SC 29634, United States;1. Centre d’Innovació, Recerca i Transferència en Tecnologia dels Aliments (CIRTTA), XaRTA, TECNIO-CERPTA, Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain;2. Facultad de Ingeniería Agroindustrial, Universidad de Nariño, Ciudad Universitaria Torobajo, Pasto, Nariño, Colombia;1. Department of Microbiology and Immunology, College of Veterinary Medicine, China Agricultural University, Haidian District, Beijing, 100094, People’s Republic of China;2. Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, China Agricultural University, Beijing, People’s Republic of China |
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| Abstract: | A classification tool suitable for establishing the ecological status of lakes based on fish population parameters has been developed for the Republic of Ireland and Northern Ireland (EU Water Framework Directive Ecoregion 17). A lake typology relevant to fish populations in lakes from Ecoregion 17 was produced as part of the ecological classification tool development. Four lake types were determined based on fish metrics and abiotic variables from 43 “reference” lakes. The specific lake fish typology categorised lakes into low (≤67 CaCO3 mg L?1) or high (>67 CaCO3 mg L?1) alkalinity, and shallow (≤17 m) or deep (>17 m) maximum depth. The fish in lakes classification tool (FIL2) follows a novel multimetric predictive approach, assigning ecological status to a lake using two independent methods. FIL2 qualitatively defines a lake's ecological status based on fish metrics using discriminant classification rules and, using a generalised linear model, quantitatively derives an Ecological Quality Ratio (EQR, 0 < EQR < 1), along with associated confidence intervals. It is recommended that both methods are used to validate output and cross-check and highlight potential misclassification. |
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