Evidence map›Paper›PMID 35784084›Full record

ArticleEcology and evolution2022

The importance of fine-scale predictors of wild boar habitat use in an isolated population.

Sonny A Bacigalupo, Yu-Mei Chang, Linda K Dixon, Simon Gubbins, Adam J Kucharski, Julian A Drewe

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Odor Fences Have No Effect on Wild Boar Movement and Home Range Size.Animals : an open access journal from MDPI · 2024
    Article
  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

6 authors.

Sonny A BacigalupoRoyal Veterinary College University of London Hatfield UK.ORCID https://orcid.org/0000-0003-1491-2476
Yu-Mei ChangRoyal Veterinary College University of London Hatfield UK.
Linda K DixonThe Pirbright Institute Surrey UK.ORCID https://orcid.org/0000-0003-3845-3016
Simon GubbinsThe Pirbright Institute Surrey UK.ORCID https://orcid.org/0000-0003-0538-4173
Adam J KucharskiLondon School of Hygiene & Tropical Medicine University of London London UK.
Julian A DreweRoyal Veterinary College University of London Hatfield UK.ORCID https://orcid.org/0000-0003-0709-8066

Funding

Biotechnology and Biological Sciences Research Council BB/M009513/1Biotechnology and Biological Sciences Research Council BBS/E/I/00007036Biotechnology and Biological Sciences Research Council BBS/E/I/00007037
6 · The paper itself

Abstract

Predicting the likelihood of wildlife presence at potential wildlife-livestock interfaces is challenging. These interfaces are usually relatively small geographical areas where landscapes show large variation over small distances. Models of wildlife distribution based on coarse data over wide geographical ranges may not be representative of these interfaces. High-resolution data can help identify fine-scale predictors of wildlife habitat use at a local scale and provide more accurate predictions of species habitat use. These data may be used to inform knowledge of interface risks, such as disease transmission between wildlife and livestock, or human-wildlife conflict.This study uses fine-scale habitat use data from wild boar (

Indexed as

fine‐scale predictorsspatial logistic regressionspecies distributionwild boarwildlife habitat usewildlife–livestock interface

Identifiers

PMID35784084
PMCPMC9217887

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.