Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania

Multiyear data collected in Lithuanian lakes (Europe ecoregion 15) using standardized methods formed the basis for an analysis to determine interrelations between lake fish community composition and environmental variables. Mean and maximum depths have significant impact on fish community structure...

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Published in:Fisheries Research
Main Authors: Virbickas, Tomas, Stakėnas, Saulius
Format: Article in Journal/Newspaper
Language:English
Published: 2016
Subjects:
Online Access:http://lmavb.lvb.lt/LMAVB:ELABAPDB15411462&prefLang=en_US
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spelling ftlitinstagrecon:oai:elaba:15411462 2023-05-15T15:47:17+02:00 Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania Virbickas, Tomas Stakėnas, Saulius 2016 http://lmavb.lvb.lt/LMAVB:ELABAPDB15411462&prefLang=en_US eng eng info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2015.08.015 http://lmavb.lvb.lt/LMAVB:ELABAPDB15411462&prefLang=en_US Fisheries research, 2016, Vol. 173, Pt. 1, p. 70-79 ISSN 0165-7836 Fish community index Lake status Thermal stratification Nutrient concentration info:eu-repo/semantics/article 2016 ftlitinstagrecon https://doi.org/10.1016/j.fishres.2015.08.015 2021-12-02T00:21:11Z Multiyear data collected in Lithuanian lakes (Europe ecoregion 15) using standardized methods formed the basis for an analysis to determine interrelations between lake fish community composition and environmental variables. Mean and maximum depths have significant impact on fish community structure in Lithuanian lakes, therefore lakes were classified into polymictic, stratified and deep stratified. The relative abundance of stenothermic fishes such as vendace (Coregonus albula) and burbot (Lota lota) was found to correlate positively with lake depth, while tench (Tinca tinca), rudd (Scardinius erythropthalmus) and bream (Abramis brama) correlated negatively. Nutrient concentration in lakes positively correlated with roach (Rutilus rutilus) and bream abundance and negatively with abundance of perch (Perca fluviatilis). In different types of lakes only seven non-redundant candidate fish metrics showed a significant correlation with variables describing human pressure. Those metrics were used to develop fish-based method for the assessment of the ecological status of lakes - the Lithuanian lake fish index LEZI (Lietuvos Ezeru Zuvu Indeksas). In all types of lakes, LEZI values most significantly correlate with the concentration of chlorophyll a and Secchi depth Article in Journal/Newspaper Burbot Lota lota lota LAEI VL (Lithuanian Institute of Agrarian Economics Virtual Library) Brama ENVELOPE(-58.467,-58.467,-62.208,-62.208) Fisheries Research 173 70 79
institution Open Polar
collection LAEI VL (Lithuanian Institute of Agrarian Economics Virtual Library)
op_collection_id ftlitinstagrecon
language English
topic Fish community index
Lake status
Thermal stratification
Nutrient concentration
spellingShingle Fish community index
Lake status
Thermal stratification
Nutrient concentration
Virbickas, Tomas
Stakėnas, Saulius
Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
topic_facet Fish community index
Lake status
Thermal stratification
Nutrient concentration
description Multiyear data collected in Lithuanian lakes (Europe ecoregion 15) using standardized methods formed the basis for an analysis to determine interrelations between lake fish community composition and environmental variables. Mean and maximum depths have significant impact on fish community structure in Lithuanian lakes, therefore lakes were classified into polymictic, stratified and deep stratified. The relative abundance of stenothermic fishes such as vendace (Coregonus albula) and burbot (Lota lota) was found to correlate positively with lake depth, while tench (Tinca tinca), rudd (Scardinius erythropthalmus) and bream (Abramis brama) correlated negatively. Nutrient concentration in lakes positively correlated with roach (Rutilus rutilus) and bream abundance and negatively with abundance of perch (Perca fluviatilis). In different types of lakes only seven non-redundant candidate fish metrics showed a significant correlation with variables describing human pressure. Those metrics were used to develop fish-based method for the assessment of the ecological status of lakes - the Lithuanian lake fish index LEZI (Lietuvos Ezeru Zuvu Indeksas). In all types of lakes, LEZI values most significantly correlate with the concentration of chlorophyll a and Secchi depth
format Article in Journal/Newspaper
author Virbickas, Tomas
Stakėnas, Saulius
author_facet Virbickas, Tomas
Stakėnas, Saulius
author_sort Virbickas, Tomas
title Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
title_short Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
title_full Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
title_fullStr Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
title_full_unstemmed Composition of fish communities and fish-based method for assessment of ecological status of lakes in Lithuania
title_sort composition of fish communities and fish-based method for assessment of ecological status of lakes in lithuania
publishDate 2016
url http://lmavb.lvb.lt/LMAVB:ELABAPDB15411462&prefLang=en_US
long_lat ENVELOPE(-58.467,-58.467,-62.208,-62.208)
geographic Brama
geographic_facet Brama
genre Burbot
Lota lota
lota
genre_facet Burbot
Lota lota
lota
op_source Fisheries research, 2016, Vol. 173, Pt. 1, p. 70-79
ISSN 0165-7836
op_relation info:eu-repo/semantics/altIdentifier/doi/10.1016/j.fishres.2015.08.015
http://lmavb.lvb.lt/LMAVB:ELABAPDB15411462&prefLang=en_US
op_doi https://doi.org/10.1016/j.fishres.2015.08.015
container_title Fisheries Research
container_volume 173
container_start_page 70
op_container_end_page 79
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