ArticleAnimals : an open access journal from MDPI2020
Not in My Backyard: Public Perceptions of Wildlife and 'Pest Control' in and around UK Homes, and Local Authority 'Pest Control'.
Article in Animals : an open access journal from MDPI, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
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.
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.
Who cites it
11 citing papers in PubMed.
- Article
- Capybaras (Animals : an open access journal from MDPI · 2025Article
- What the Cat Dragged in: Quantifying Prey Return Rates of Pet Cats (Ecology and evolution · 2025Article
- Mitigating Human Impacts on Wild Animal Welfare.Animals : an open access journal from MDPI · 2023Article
- Article
- Article
- Review
- What Do They Know? Comparing Public Knowledge and Opinions about Rodent Management to the Expectations of Pest Controllers.Animals : an open access journal from MDPI · 2021Article
- Map-A-Mole: Greenspace Area Influences the Presence and Abundance of the European MoleAnimals : an open access journal from MDPI · 2020Article
- On the Doorstep, Rodents in Homesteads and Kitchen Gardens.Animals : an open access journal from MDPI · 2020Article
- Erratum: Baker, S.E.; Maw, S.A.; Johnson P.J.; Macdonald, D.W. Not in My Backyard: Public Perceptions of Wildlife and 'Pest Control' in and around UK Homes, and Local Authority 'Pest Control'.Animals : an open access journal from MDPI · 2020Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
Abstract
Human-wildlife conflict occurs globally. Attempts to control 'pest' wildlife involve killing and harming the welfare of animals on a vast scale. We examined public perceptions of 10 wildlife species/groups and wildlife management, in and around UK homes, and public authority 'pest control' provision, in an effort to identify ethical, welfare-friendly ways to reduce conflict. Most people reported never having problems with each of the 10 species, and reported problems for some species were largely tolerated. Wasps, mice, and rats were the most frequently problematic species, the least tolerated, and those for which local authorities most often offered pest control services. Do-It-Yourself pest control was preferred over professional control, except for with wasps. People wanted control to be quick, lasting, and safe for people and non-target animals. Where people accepted lethal control, they were nevertheless concerned for animal welfare. Drivers of pest status were complex, while drivers of demand for control were fewer and species-specific. Local authority pest control provision increased over the four years studied, but only half of councils offered advice on preventing/deterring wildlife; this advice was patchy and variable in quality. Greater focus is required on preventing/deterring rather than controlling wildlife problems. Councils should provide standardised, comprehensive advice on prevention/deterrence and prevention/deterrence services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.