Evidence map›Paper›PMID 33244647›Full record

ReviewEnvironmental monitoring and assessment2020

Developing benthic monitoring programmes to support precise and representative status assessments: a case study from the Baltic Sea.

Henrik Nygård, Mats Lindegarth, Alexander Darr, Grete E Dinesen, Ole R Eigaard, Inga Lips

Abstract readReview
In one paragraph

Review in Environmental monitoring and assessment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Structured machine learning modeling to support conservation of deep-sea benthic biodiversity.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Henrik NygårdMarine Research Centre, Finnish Environment Institute, Helsinki, Finland. henrik.nygard@ymparisto.fi.ORCID https://orcid.org/0000-0002-4210-8875
Mats LindegarthDepartment of Marine Science-Tjärnö, University of Gothenburg, Gothenburg, Sweden.
Alexander DarrLeibniz Institute for Baltic Sea Research Warnemünde, Rostock, Germany.
Grete E DinesenNational Institute of Aquatic Resources, Technical University of Denmark, Kgs. Lyngby, Denmark.
Ole R EigaardNational Institute of Aquatic Resources, Technical University of Denmark, Kgs. Lyngby, Denmark.
Inga LipsDepartment of Marine Systems, Tallinn University of Technology, Tallinn, Estonia.

Funding

BONUS Programme Art 185
6 · The paper itself

Abstract

Benthic habitats and communities are key components of the marine ecosystem. Securing their functioning is a central aim in marine environmental management, where monitoring data provide the base for assessing the state of marine ecosystems. In the Baltic Sea, a > 50-year-long tradition of zoobenthic monitoring exists. However, the monitoring programmes were designed prior to the current policies, primarily to detect long-term trends at basin-scale and are thus not optimal to fulfil recent requirements such as area-based periodic status assessments. Here, we review the current monitoring programmes and assess the precision and representativity of the monitoring data in status assessments to identify routes for improvement. At present, the monitoring is focused on soft-bottoms, not accounting for all habitat types occurring in the Baltic Sea. Evaluating the sources of variance in the assessment data revealed that the component accounting for variability among stations forms the largest proportion of the uncertainty. Furthermore, it is shown that the precision of the status estimates can be improved, with the current number of samples. Reducing sampling effort per station, but sampling more stations, is the best option to improve precision in status assessments. Furthermore, by allocating the sampling stations more evenly in the sub-basins, a better representativity of the area can be achieved. However, emphasis on securing the long-term data series is needed if changes to the monitoring programmes are planned.

Indexed as

EcosystemEnvironmental MonitoringBaltic StatesTimeBaltic SeaBenthic habitatsMarine managementMarine Strategy Framework DirectiveMonitoring designUncertainty

Identifiers

PMID33244647
PMCPMC7691314

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Registered trials

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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.