کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4373818 1617182 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Development and application of an ecological classification tool for fish in lakes in Ireland
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
Development and application of an ecological classification tool for fish in lakes in Ireland
چکیده انگلیسی

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.

▸ An ecological classification tool for fish in Irish lakes has been developed. ▸ Lake typology has been defined, based on alkalinity and maximum depth. ▸ Two separate classification models are used to produce classifications. ▸ Qualitative classification using discriminant analysis rules. ▸ Quantitative classification using a generalised linear model with associated confidence intervals.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Indicators - Volume 18, July 2012, Pages 608–619
نویسندگان
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