Global wildlife roadkill research: a bibliometric synthesis of historical trends, thematic gaps, and future directions
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Issued Date
2025-08-01
Resource Type
ISSN
10838155
eISSN
15731642
Scopus ID
2-s2.0-105006812420
Journal Title
Urban Ecosystems
Volume
28
Issue
4
Rights Holder(s)
SCOPUS
Bibliographic Citation
Urban Ecosystems Vol.28 No.4 (2025)
Suggested Citation
Sukhontapatipak C., Saralamba C., Piyapan P., Duangta P., Klubchum T., Sawangproh W. Global wildlife roadkill research: a bibliometric synthesis of historical trends, thematic gaps, and future directions. Urban Ecosystems Vol.28 No.4 (2025). doi:10.1007/s11252-025-01747-x Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/110490
Title
Global wildlife roadkill research: a bibliometric synthesis of historical trends, thematic gaps, and future directions
Author's Affiliation
Corresponding Author(s)
Other Contributor(s)
Abstract
The global expansion of road networks has intensified ecological pressures on wildlife through roadkill, driving increased scholarly interest in recent decades. This study conducts a bibliometric and content analysis of 1,453 peer-reviewed publications—including journal articles, book chapters, conference papers, and reviews—published between 1955 and 2023, to explore historical trends, thematic developments, and geographic patterns in wildlife roadkill research. Publication output has grown rapidly since 2000, with over 75% of studies published after 2010. Research is concentrated in a few countries, with the United States, Brazil, Canada, and Australia accounting for 49% of total output. Taxonomic biases are evident, as mammals (44%) and herpetofauna (27%) are the most studied groups, while birds and invertebrates are underrepresented. Geographic imbalances also persist, with limited research focused on biodiversity-rich regions such as Southeast Asia and Africa. Keyword co-occurrence analysis identifies three dominant thematic clusters: core road ecology and applied conservation, human–wildlife interaction and theoretical perspectives, and taxon-specific and biodiversity-oriented studies. Despite the growing availability of scalable tools—such as citizen science, remote sensing, and machine learning—their application in roadkill research remains limited. Additionally, most studies focus on species classified as “Least Concern,” while those facing higher extinction risks receive little attention. These patterns reveal critical gaps in the taxonomic and conservation coverage of current literature. This review highlights the need for more longitudinal studies, inclusive taxonomic and geographic representation, and interdisciplinary approaches to better inform sustainable infrastructure planning and reduce biodiversity loss from wildlife–vehicle collisions.