Evidence map›Paper›PMID 31598833›Full record

ArticleAmbio2020

Predicting the effects of eutrophication mitigation on predatory fish biomass and the value of recreational fisheries.

Göran Sundblad, Lena Bergström, Tore Söderqvist, Ulf Bergström

Abstract read
In one paragraph

Article in Ambio, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

4 authors.

Göran SundbladDepartment of Aquatic Resources, Institute of Freshwater Research, Swedish University of Agricultural Sciences (SLU), Stångholmsvägen 2, 178 93, Drottningholm, Sweden. goran.sundblad@slu.se.ORCID http://orcid.org/0000-0001-8970-9996
Lena BergströmDepartment of Aquatic Resources, Institute of Coastal Research, Swedish University of Agricultural Sciences (SLU), Skolgatan 6, 742 42, Öregrund, Sweden.ORCID http://orcid.org/0000-0002-8059-8764
Tore SöderqvistAnthesis Enveco, Barnhusgatan 4, 111 23, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-7347-9567
Ulf BergströmDepartment of Aquatic Resources, Institute of Coastal Research, Swedish University of Agricultural Sciences (SLU), Skolgatan 6, 742 42, Öregrund, Sweden.ORCID http://orcid.org/0000-0002-5478-0634

Funding

Naturvårdsverket 13/132Naturvårdsverket 17/89
6 · The paper itself

Abstract

Improving water clarity is a core objective for eutrophication management in the Baltic Sea, but may influence fisheries via effects on fish habitat suitability. We apply an ensemble of species distribution models coupled with habitat productivity functions and willingness-to-pay estimates to assess these effects for two coastal predatory fish species, European perch (Perca fluviatilis) and pikeperch (Sander lucioperca). The models predicted a 37% increase in perch and 59% decrease in pikeperch biomass if reaching the reference level for water clarity in the Baltic Sea Action Plan. Reaching the target level was predicted to increase perch biomass by 13%. However, the associated economic gain for the recreational fisheries sector was countervailed by an 18% pikeperch reduction. Still, a net benefit was predicted since there are six times more fishing days for perch than pikeperch. We exemplify how ecological modelling can be combined with economic analyses to map and evaluate management alternatives.

Indexed as

EutrophicationFisheriesAnimalsBaltic StatesBiomassEcosystemEconomic valueEcosystem servicesEutrophicationFisheriesSpecies distribution modelTravel cost method

Identifiers

PMID31598833
PMCPMC7067735

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.