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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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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1766382069215133696 |