Evidence map›Paper›PMID 35092571›Full record

ReviewAmbio2022

Food web assessments in the Baltic Sea: Models bridging the gap between indicators and policy needs.

Samuli Korpinen, Laura Uusitalo, Marie C Nordström, Jan Dierking, Maciej T Tomczak, Jannica Haldin, Silvia Opitz, Erik Bonsdorff, Stefan Neuenfeldt

Abstract readReview
In one paragraph

Review in Ambio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

9 authors.

Samuli KorpinenFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland. samuli.korpinen@syke.fi.ORCID http://orcid.org/0000-0001-6024-1250
Laura UusitaloFinnish Environment Institute, Latokartanonkaari 11, 00790, Helsinki, Finland.
Marie C NordströmÅbo Akademi University, BioCity, 20500, Turku, Finland.
Jan DierkingGEOMAR, Helmholtz Centre for Ocean Research Kiel, Duesternbrooker Weg 20, 24105, Kiel, Germany.
Maciej T TomczakBaltic Sea Centre, Stockholm University, 106 91, Stockholm, Sweden.
Jannica HaldinHELCOM Secretariat, Katajanokanlaituri 6B, 00160, Helsinki, Finland.
Silvia OpitzGEOMAR, Helmholtz Centre for Ocean Research Kiel, Duesternbrooker Weg 20, 24105, Kiel, Germany.
Erik BonsdorffÅbo Akademi University, BioCity, 20500, Turku, Finland.
Stefan NeuenfeldtNational Institute of Aquatic Resources, Technical University of Denmark (DTU Aqua), Kemitorvet, 2800, Kgs. Lyngby, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ecosystem-based management requires understanding of food webs. Consequently, assessment of food web status is mandatory according to the European Union's Marine Strategy Framework Directive (MSFD) for EU Member States. However, how to best monitor and assess food webs in practise has proven a challenging question. Here, we review and assess the current status of food web indicators and food web models, and discuss whether the models can help addressing current shortcomings of indicator-based food web assessments, using the Baltic Sea as an example region. We show that although the MSFD food web assessment was designed to use food web indicators alone, they are currently poorly fit for the purpose, because they lack interconnectivity of trophic guilds. We then argue that the multiple food web models published for this region have a high potential to provide additional coherence to the definition of good environmental status, the evaluation of uncertainties, and estimates for unsampled indicator values, but we also identify current limitations that stand in the way of more formal implementation of this approach. We close with a discussion of which current models have the best capacity for this purpose in the Baltic Sea, and of the way forward towards the combination of measurable indicators and modelling approaches in food web assessments.

Indexed as

EcosystemFood ChainBaltic StatesEnvironmental MonitoringPolicyUncertaintyBaltic SeaEcosystem-based managementFood web assessmentFood web indicatorsFood web modelsMarine Strategy Framework Directive

Identifiers

PMID35092571
PMCPMC9110573

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.