Evidence map›Paper›PMID 33782852›Full record

ArticleAmbio2022

Setting population-size targets for geese causing socio-economic conflicts.

Fred A Johnson, Henning Heldbjerg, Szabolcs Nagy, Jesper Madsen

Abstract read
In one paragraph

Article in Ambio, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fred A JohnsonDepartment of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark. fred.johnson@bios.au.dk.ORCID http://orcid.org/0000-0002-5854-3695
Henning HeldbjergDepartment of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark.
Szabolcs NagyWetlands International, P.O. Box 471, 6700AL, Wageningen, The Netherlands.
Jesper MadsenDepartment of Bioscience - Kalø, Aarhus University, Grenåvej 14, 8410, Rønde, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most European goose populations have increased exponentially, and this has increasingly brought them into conflict with human activities. To manage this conflict, we used multi-criteria decision analysis to help set population targets for a super-abundant population of greylag geese (Anser anser). We relied on expert elicitation to assess the consequences of varying goose abundance on nine ecological, economic, and societal objectives. Representatives from national governments and from non-governmental organizations then weighted the objectives based on their perceived relative importance, and we used a consensus-convergence model to reach stakeholder agreement on the tradeoffs among objectives. The preferred population targets for two management units represent about a 20% reduction from current abundances, which from a management perspective would require considerable effort above and beyond current population-control measures. We believe that multi-criteria decision analysis can provide a systematic and transparent framework for building consensus among diverse stakeholders in a wide array of human-wildlife conflicts.

Indexed as

Animals, WildGeeseAnimalsHumansPopulation DensitySocioeconomic FactorsConflictConsensus-convergence modelGeeseMulti-criteria decision analysisObjectivesStakeholders

Identifiers

PMID33782852
PMCPMC8651891

What OpenQuestion holds

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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.