Evidence map›Paper›PMID 31997068›Full record

ArticleEnvironmental monitoring and assessment2020

Zooplankton indicator-based assessment in relation to site location and abiotic factors: a case study from the Gulf of Riga.

Astra Labuce, Inta Dimante-Deimantovica, Juris Tunens, Solvita Strake

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In one paragraph

Article in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Astra LabuceLatvian Institute of Aquatic Ecology, Agency of Daugavpils University, Voleru str. 4, Riga, LV-1007, Latvia. astra.labuce@lhei.lv.ORCID https://orcid.org/0000-0002-2764-678X
Inta Dimante-DeimantovicaLatvian Institute of Aquatic Ecology, Agency of Daugavpils University, Voleru str. 4, Riga, LV-1007, Latvia.ORCID https://orcid.org/0000-0002-2655-8198
Juris TunensLatvian Institute of Aquatic Ecology, Agency of Daugavpils University, Voleru str. 4, Riga, LV-1007, Latvia.ORCID https://orcid.org/0000-0001-9227-5121
Solvita StrakeLatvian Institute of Aquatic Ecology, Agency of Daugavpils University, Voleru str. 4, Riga, LV-1007, Latvia.ORCID https://orcid.org/0000-0002-0537-3303

Funding

Administration of Latvian Environmental Protection Fund Project no. 1-08/145/2017
6 · The paper itself

Abstract

There are a number of zooplankton parameters proposed as indicators to evaluate environmental status of marine ecosystems. Mean size and total stock (MSTS) is the only zooplankton-based and HELCOM (Baltic Marine Environment Protection Commission - Helsinki Commission)-approved core indicator. MSTS was developed to evaluate the environmental status of the Baltic Sea based on total biomass (or abundance) and mean body weight of mesozooplankton. This indicator reflects status of the food web and zooplankton biodiversity. Both are qualitative descriptors for determining good environmental status (GES) as defined by the EU Marine Strategy Framework Directive 2008/56/EC. However, the existing indicator concept is applicable to the extent that it characterizes off-shore pelagic habitats, while use of MSTS for coastal habitats remains challenging. In this case study, we aimed to assess and discuss performance of MSTS applied to mesozooplankton data from the shallow Gulf of Riga. Both off-shore and coastal communities were included in the study. MSTS responses to variable environmental factors (temperature, salinity and riverine runoff) were analysed. Temporal variations in temperature revealed response in mean size, whereas salinity covaried with total stock (both - biomass and abundance). However, spatial variations of MSTS parameters stayed unexplained. The results demonstrate difficulties with and provide possible solutions for MSTS-based assessment, with a particular emphasis on coastal waters. The use of mesozooplankton abundance as a determinant parameter for assessment of coastal waters and substitution of the corresponding 99% confidence interval of the mean as an assessment value instead of the mean have been considered.

Indexed as

EcosystemEnvironmental MonitoringZooplanktonAnimalsBaltic StatesFood ChainBaltic SeaCoastalEnvironmental statusMesozooplanktonMSFDMSTS

Identifiers

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.