Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Temporal patterns of human-fox interactions as revealed from internet searches

Bibliographic Data

ID15327447
AuthorsCarl D Soulsbury (0000-0001-8808-5210, University of Lincoln, corresponding author)
Year2019
Volume25
Issue1
Pages70-81
Publication date2019-09-12
Open AccessNo
TypeARTICLE
VenueHuman Dimensions of Wildlife (JOURNAL)
Journal identifiersISSN: 1087-1209 • E-ISSN: 1533-158X
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/10871209.2019.1666322
OpenAlexW2972612782
LanguageEN
Citations received2
References cited51

Traditional methods of assessing human-animal interactions include questionnaires or targeted interviews. More people typically use the internet as their primary source of information and now the availability and ease of collecting data from internet search terms mean that patterns of human-animal interactions can be assessed. In this study, internet search data of human-red fox interactions were analyzed for annual and monthly patterns. In general, patterns of internet searches were highest during April–August, reflecting key events for foxes such as denning and cub rearing. Increased searches for human-fox conflict solutions during this same period may also reflect changes in human behavior (e.g., increased garden usage). Annual increases in some search terms suggested an increasing awareness of foxes and problems with the species. This study shows that internet searches can show clear seasonal patterns that are associated with important periods of species biology

Biology · Geography · Human animal · Key (lock · The Internet · World Wide Web · Animal and Plant Science Education · Computer Science · Human-Animal Interaction Studies · Wildlife Ecology and Conservation · Ecology

  • A ten-year community reporting database reveals rising coyote boldness and associated human concern in Edmonton, Canada

    Open Access•Jonathan Farr, Jonathan James Farr et al.•Conservation Ecology•2023

  • From science to society to practice? Public reactions to the insect crisis in Germany

    Open Access•Esther Sophie Felgentreff, Sascha Buchholz et al.•People and Nature•2023

  • Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature‐Based Experiences in Protected Areas

    Open Access•Anna Hausmann, Tuuli Toivonen et al.•Conservation Letters•2018

  • Human–wildlife interactions in urban areas

    Open Access•Carl D Soulsbury, Piran C L White•Wildlife Research•2016

  • Complexities of conflict

    Open Access•Amy Dickman, A J Dickman•Animal Conservation•2010

  • The relationship between extraversion and neuroticism and the different uses of the Internet

    Open Access•Y A Hamburger, Elisheva Ben‐Artzi et al.•Computers in Human Behavior•2000

  • Public Demand for Information and Assistance at the Human–Wildlife Interface

    Kieran J Lindsey, Clark E Adams•Human Dimensions of Wildlife•2006

  • Coyote ( Canis latrans ) Interactions With Humans and Pets Reported in the Canadian Print Media (1995–2010)

    Shelley M Alexander, Michael S Quinn•Human Dimensions of Wildlife•2011

  • Predictors of Extreme Negative Feelings Toward Coyote in Newfoundland

    Beatrice Frank, Jenny Anne Glikman et al.•Human Dimensions of Wildlife•2016

  • Human–Coyote Interactions in Calgary, Alberta

    Victoria M Lukasik, Shelley M Alexander•Human Dimensions of Wildlife•2011

  • Assessing online opinions of wildlife through social media

    Mason Fidino, Seth W Herr et al.•Human Dimensions of Wildlife•2018

  • UK adults exhibit higher step counts in summer compared to winter months

    Open Access•Sarah L Hamilton, Stacy A Clemes et al.•Annals of Human Biology•2008

  • Human–Wildlife Conflicts and the Need to Include Tolerance and Coexistence

    Beatrice Frank•Society & Natural Resources•2015

Citations per year0.67
Citation span2023 - 2023 (1)
Highly citedNo

Tools

Open DOISci-HubOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae