Wild animals and vehicles – analysis of development of a conflict: case of sverdlovsk region
DOI: 10.31857/s0367059724060058
archive: archived pipeline: cataloged verified
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Summary
This study analyzes the dynamics of traffic accidents involving wild animals in the Sverdlovsk Region of Russia from 2012 to 2022, aiming to determine whether the increase in collisions is driven primarily by rising animal populations or by increased vehicle density. The research addresses a significant data gap in Russia regarding the causes of human-wildlife conflict on roads, motivated by the region’s high industrialization, dense transport network, and diverse fauna. The authors utilized data from the Sverdlovsk Regional Department for Wildlife Protection, which recorded 1,831 collisions over the 11-year period. This data was correlated with winter transect survey estimates of ungulate populations (moose, roe deer, and wild boar) and Rosstat statistics on vehicle numbers and road length. Statistical methods included Pearson correlation, linear regression models, and growth rate calculations to assess the relative influence of biological factors (animal abundance) versus anthropogenic factors (vehicle density and road infrastructure). Results indicate that the number of accidents increased 3.4-fold, from 102 in 2012 to 349 in 2022. The species composition of victims was heavily skewed toward ungulates, accounting for 99% of incidents, with roe deer and moose comprising the majority. Seasonal peaks occurred in May–July for moose and roe deer, and September–October for wild boar. Crucially, the growth rate of accidents for moose and roe deer was 3.0 and 3.2 times higher, respectively, than the growth rate of their populations. While animal population growth accounted for approximately 31–33% of the increase in accidents, the growth in vehicle density contributed only 7–10%. Regression models confirmed a strong positive correlation between accident rates and animal abundance, whereas the link with vehicle density was weaker. Notably, unlike trends in other countries, the COVID-19 pandemic did not reduce accident frequencies in this region; instead, incidents surged between 2020 and 2022. The study concludes that the escalation of traffic conflicts in the Sverdlovsk Region is driven predominantly by biological factors—specifically the rapid expansion of ungulate populations—rather than by increases in traffic intensity. This finding suggests that mitigation strategies should prioritize wildlife management and habitat modification over traffic regulation. The research provides the first quantitative analysis of its kind in Russia, highlighting the need for region-specific assessments, as the relative impact of ecological and anthropogenic drivers varies by location.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | OpenAlex-citations | — | — | 1 | 2026-06-20 |
| archive | success | unpaywall | — | — | 2 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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