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ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes

Zooplankton is widely recognized as a key component of pelagic ecosystems and forms the basis for major trophic webs. Although zooplankton has often been used as an indicator of trophic state, it has not been included as an obligatory element of the water assessment systems compliant with the Water...

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Autor principal: Ochocka, Agnieszka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450215/
https://www.ncbi.nlm.nih.gov/pubmed/34537884
http://dx.doi.org/10.1007/s10661-021-09390-7
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author Ochocka, Agnieszka
author_facet Ochocka, Agnieszka
author_sort Ochocka, Agnieszka
collection PubMed
description Zooplankton is widely recognized as a key component of pelagic ecosystems and forms the basis for major trophic webs. Although zooplankton has often been used as an indicator of trophic state, it has not been included as an obligatory element of the water assessment systems compliant with the Water Framework Directive. This article introduces the Zooplankton Index for Polish Lakes’ Assessment (ZIPLA(S)) as a new method to assess the ecological status of stratified lakes based on the zooplankton community. The ZIPLA(S) evaluates three aspects of zooplankton communities, namely, taxonomic composition and abundance, diversity of the zooplankton community, and stressor-sensitive species, which are combined into a multimetric index. Following are the metrics used to compose multimetric ZIPLA(S): percentage share of the Rotifer species indicative of high trophy in the indicative group’s number (IHTROT; %), ratio of Calanoida to Cyclopoida individual numbers (CA/CY), percentage of tecta form in the population of Keratella cochlearis (TECTA; %), Margalef’s index (d), and zooplankton abundance (NZOL; ind./L). ZIPLA(S) responds clearly to eutrophication indicators—the strongest with Secchi disc visibility (Spearman’s rank correlation R = 0.86) and slightly weaker with the expressed by total phosphorus (R = -0.74), total nitrogen (R = 0.68) and the catchment pressure expressed by the nutrient loads generated by different types of land use (R = -0.58).
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spelling pubmed-84502152021-10-05 ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes Ochocka, Agnieszka Environ Monit Assess Article Zooplankton is widely recognized as a key component of pelagic ecosystems and forms the basis for major trophic webs. Although zooplankton has often been used as an indicator of trophic state, it has not been included as an obligatory element of the water assessment systems compliant with the Water Framework Directive. This article introduces the Zooplankton Index for Polish Lakes’ Assessment (ZIPLA(S)) as a new method to assess the ecological status of stratified lakes based on the zooplankton community. The ZIPLA(S) evaluates three aspects of zooplankton communities, namely, taxonomic composition and abundance, diversity of the zooplankton community, and stressor-sensitive species, which are combined into a multimetric index. Following are the metrics used to compose multimetric ZIPLA(S): percentage share of the Rotifer species indicative of high trophy in the indicative group’s number (IHTROT; %), ratio of Calanoida to Cyclopoida individual numbers (CA/CY), percentage of tecta form in the population of Keratella cochlearis (TECTA; %), Margalef’s index (d), and zooplankton abundance (NZOL; ind./L). ZIPLA(S) responds clearly to eutrophication indicators—the strongest with Secchi disc visibility (Spearman’s rank correlation R = 0.86) and slightly weaker with the expressed by total phosphorus (R = -0.74), total nitrogen (R = 0.68) and the catchment pressure expressed by the nutrient loads generated by different types of land use (R = -0.58). Springer International Publishing 2021-09-19 2021 /pmc/articles/PMC8450215/ /pubmed/34537884 http://dx.doi.org/10.1007/s10661-021-09390-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ochocka, Agnieszka
ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title_full ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title_fullStr ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title_full_unstemmed ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title_short ZIPLA(S): Zooplankton Index for Polish Lakes’ Assessment: a new method to assess the ecological status of stratified lakes
title_sort zipla(s): zooplankton index for polish lakes’ assessment: a new method to assess the ecological status of stratified lakes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8450215/
https://www.ncbi.nlm.nih.gov/pubmed/34537884
http://dx.doi.org/10.1007/s10661-021-09390-7
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