Evidence map›Paper›PMID 30157225›Full record

ArticlePloS one2018

Stochastic assessment of management strategies for a Mediterranean peri-urban wild boar population.

Carlos González-Crespo, Emmanuel Serrano, Seán Cahill, Raquel Castillo-Contreras, Lluís Cabañeros, José María López-Martín, Joan Roldán, Santiago Lavín, Jorge Ramón López-Olvera

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Characterization and treatment protocol of injuries inflicted to humans by synurbic European wild boars (Sus scrofa).European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  5. Motivation and Habits of a Wild Boar-Hunting Community.Animals : an open access journal from MDPI · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Detection of Beta-Lactam-ResistantAnimals : an open access journal from MDPI · 2021
    Article
  13. Article
  14. 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.

Carlos González-CrespoWildlife Ecology & Health Group and Servei d' Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i CirurgiaAnimals, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
Emmanuel SerranoWildlife Ecology & Health Group and Servei d' Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i CirurgiaAnimals, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
Seán CahillConsorci del Parc Natural de la Serra de Collserola, Barcelona, Spain.
Raquel Castillo-ContrerasWildlife Ecology & Health Group and Servei d' Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i CirurgiaAnimals, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
Lluís CabañerosConsorci del Parc Natural de la Serra de Collserola, Barcelona, Spain.
José María López-MartínDepartament d'Agricultura, Ramaderia, Pesca i Alimentació, Serveis Territorials de Barcelona, Generalitat de Catalunya, Barcelona, Spain.
Joan RoldánForestal Catalana SA, Generalitat de Catalunya, Barcelona, Spain.
Santiago LavínWildlife Ecology & Health Group and Servei d' Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i CirurgiaAnimals, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.
Jorge Ramón López-OlveraWildlife Ecology & Health Group and Servei d' Ecopatologia de Fauna Salvatge (SEFaS), Departament de Medicina i CirurgiaAnimals, Facultat de Veterinària, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain.ORCID 0000-0002-2999-3451

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wild boar (Sus scrofa) population spread into urban and periurban areas has exacerbated conflicts with humans. There is a need for planned wild boar management strategies, and Population viability analysis (PVA) combined with perturbation analyses allow the assessment of the management effort of control methods. Our study aims to develop stochastic predictive models of the increasing wild boar population of the 80 km2 peri-urban Mediterranean area of Collserola Natural Park (CNP), located near Barcelona, Spain, as well as assessing specific management measures (including reduced food availability, selective harvest, and reduction in fertility). Population parameters were estimated from previously published census and hunting data provided by the CNP and the local hunting administration. The results revealed that under the current conditions the CNP wild boar population will continue to increase. The most efficient strategy to reduce wild boar abundance was a combination of reducing supplementary anthropogenic food resources and selective removal of juvenile (<1 year) and yearling (1-2 years) wild boar. These strategies will probably be also the most efficient ones in other oversupplemented increasing wild boar populations in similar situations, although specific studies will be needed to fine-tune the best management option for each context. PVA allows the prediction of future population trends and the assessment of the efficacy and efficiency of potential management strategies before implementing management measures.

Indexed as

Models, BiologicalSus scrofaAnimalsCitiesFemaleMaleParks, RecreationalPopulation ControlReproductionSpainStochastic Processes

Identifiers

PMID30157225
PMCPMC6114779

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.