Evidence map›Paper›PMID 39906531›Full record

ArticleJournal of environmental planning and management2025

The many boar identities: understanding difference and change in the geographies of European wild boar management.

Erica von Essen, Kieran O'Mahony, Marianna Szczygielska, Thorsten Gieser, Virginie Vaté, Aníbal Arregui, Ludek Broz

Abstract read
In one paragraph

Article in Journal of environmental planning and management, 2025. 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. 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

7 authors.

Erica von EssenHøgskolen i Innlandet, Faculty of Applied Ecology, Elverum, Norway.
Kieran O'MahonyCzech Academy of Sciences, Institute of Ethnology, Prague, Czech Republic.
Marianna SzczygielskaCzech Academy of Sciences, Institute of Ethnology, Prague, Czech Republic.
Thorsten GieserCzech Academy of Sciences, Institute of Ethnology, Prague, Czech Republic.
Virginie VatéSocieties, Religions, Secularisations, French National Centre for Scientific Research, Paris, France.
Aníbal ArreguiSocial Anthropology, Universitat de Barcelona, Barcelona, Spain.
Ludek BrozCzech Academy of Sciences, Institute of Ethnology, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wildlife management across Europe is increasingly characterised by a 'war on wild boar'. In response to epidemiological and economic threats to pig production and agriculture, state agencies, policymakers and hunting organizations have altered their management as they attempt to contain wild boar. Through a cross-section overview of eight European countries with differentiated strategies - the Czech Republic, France, Germany, Great Britain, Norway, Poland, Spain, and Sweden - we analyze five critical components of contemporary wild boar management: categorizing, responsibilizing, calculating, controlling, and sanitizing. We consider three critical triggers that change how wild boar and, by extension, a range of other 'wild' species are managed in relation to the aforementioned categories: (over)abundance and population growth, biosecurity crises, and technological innovation. While these triggers, on one hand, might streamline transborder management policies, we show how wild boar also uproot longstanding wildlife management cultures by transforming hunting traditions, landowner-hunter relations and meat handling practices.

Indexed as

biopoliticsbiosecurityhuntingnecropoliticswildlife management

Identifiers

PMID39906531
PMCPMC11789708

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.