Evidence map›Paper›PMID 40461806›Full record

ArticleScientific reports2025

Spatiotemporal patterns and environmental determinants of wildlife-vehicle collisions in Banke National Park, Nepal.

Narayan Prasad Koju, K C Anish, Keshav Dodhari, Pratikshya Giri, Miriam Lee, Sudip Pokhrel, Asmina Ghimire, Lila Nyaichyai, Kenneth Otieno Onditi, Xuelong Jiang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Narayan Prasad Koju *Center for Postgraduate Studies, Nepal Engineering College, Pokhara University, Lalitpur, Nepal. npkoju.2003@gmail.com.
K C Anish *Center for Postgraduate Studies, Nepal Engineering College, Pokhara University, Lalitpur, Nepal.
Keshav DodhariCenter for Postgraduate Studies, Nepal Engineering College, Pokhara University, Lalitpur, Nepal.
Pratikshya GiriGoldengate International College, Tribhuvan University, Battisputali, Kathmandu, Nepal.
Miriam LeeSchool of Architecture, The Chinese University of Hong Kong, Shatin, Hong Kong, China.
Sudip PokhrelCenter for Postgraduate Studies, Nepal Engineering College, Pokhara University, Lalitpur, Nepal.
Asmina GhimireCenter for Postgraduate Studies, Nepal Engineering College, Pokhara University, Lalitpur, Nepal.
Lila NyaichyaiCentral Department of Library and Information Science, Tribhuvan University, Kathmandu, Nepal.
Kenneth Otieno OnditiKey Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
Xuelong JiangKey Laboratory of Genetic Evolution and Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
Randall C KyesDepartment of Psychology, University of Washington, Seattle, WA, 98125, USA.

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
NIH HHS P51 OD010425the Office of Research Infrastructure Programs (ORIP) of the National Institutes of Health through grant number P51OD010425 to the Washington National Primate Research Center, USA P51OD010425
6 · The paper itself

Abstract

Wildlife vehicle collisions (WVCs) represent a significant threat globally to biodiversity conservation, driver safety and economic resources. This study evaluated the magnitude, spatial-temporal patterns, and influencing factors associated with WVCs within Banke National Park (BaNP), Nepal, to inform effective mitigation planning and biodiversity conservation strategies. Data on WVCs and relevant environmental and anthropogenic variables were collected between April 2015 and March 2024 along a 97.3 km road segment traversing BaNP. The methodological approach integrated field surveys, spatial analyses using kernel density estimation, and statistical modelling to pinpoint collision hotspots and elucidate contributing factors. In total, 488 WVC incidents were documented, predominantly involving mammals (87.52%), followed by reptiles (8.58%) and birds (3.88%). Endangered and vulnerable species, including the golden monitor lizard, leopard cat, and four-horned antelope, were among the recorded fatalities. Spatial analysis identified significant WVC hotspots at Muguwa, Obhari, and Khairi, collectively accounting for over 60% of total incidents. Temporal patterns indicated a seasonal peak during autumn (30%), coinciding with increased post-monsoon dispersal and foraging behaviour. Statistical analyses highlighted that road curvature, proximity to water sources, and surrounding land use significantly influenced collision risk. Specifically, higher WVC odds were associated with curved roads and greater distances from settlements, while straighter road segments and higher forest canopy coverage near roads correlated with reduced risk. This study underscores the pressing need for targeted mitigation measures, such as wildlife crossings, speed reduction zones, and enhanced public awareness initiatives, to reduce WVC occurrences and protect vulnerable wildlife in BaNP. The findings contribute to the existing knowledge regarding road ecology and provide crucial insights for informed conservation interventions within protected areas.

Indexed as

Accidents, TrafficAnimals, WildParks, RecreationalAnimalsBiodiversityBirdsConservation of Natural ResourcesEndangered SpeciesNepalSeasonsSpatio-Temporal AnalysisConservationEnvironmental factorsMitigationRoad ecologyRoad kill hotspots

Identifiers

PMID40461806
PMCPMC12134264

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.