Evidence map›Paper›PMID 42471819›Full record

ArticleBiodiversity data journal2026

A year-long camera-trap dataset for assessing spatial occurrence and diel activity of sympatric ungulates in South Korea.

Jong-Hoon Jeon, Anya Lim

Abstract read
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Article in Biodiversity data journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Jong-Hoon JeonResearch Center for Endangered Species, National Institute of Ecology, Yeongyang-gun, Gyeongsangbuk-do, Republic of Korea Research Center for Endangered Species, National Institute of Ecology Yeongyang-gun, Gyeongsangbuk-do Republic of Korea.ORCID https://orcid.org/0000-0002-7096-605X
Anya LimResearch Center for Endangered Species, National Institute of Ecology, Yeongyang-gun, Gyeongsangbuk-do, Republic of Korea Research Center for Endangered Species, National Institute of Ecology Yeongyang-gun, Gyeongsangbuk-do Republic of Korea.ORCID https://orcid.org/0000-0003-2946-2527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Understanding how ecologically similar species share space and time is central to community ecology and can provide information for conservation and management in multi-species systems. Camera-trap data provide a practical means of describing spatial co-occurrence and diel activity overlap amongst sympatric mammals, particularly where direct mechanistic inference is not possible from observational data alone. In human-dominated landscapes, standardised, open-access occurrence data are critical for balancing the conservation of endangered species with the management of over-abundant, conflict-prone wildlife. New information: In this study, we present a curated, year-long camera-trap dataset for four sympatric ungulates in South Korea, based on monitoring conducted in a temperate forest landscape in Uljin County, together with station-level covariates and harmonised effort information derived from a camera operation log. We provide example analyses illustrating: (i) spatial occurrence patterns using species-wise occupancy models and (ii) diel activity and temporal overlap using non-parametric activity analyses. For the temporal example, overlap is summarised using local clock time (Asia/Seoul, UTC+09:00) and complemented by a photoperiod-adjusted (solar-time) sensitivity analysis, based on sunrise and sunset times calculated for site-level representative coordinates (one point per site; UJ1 and UJ2). Diel-period summaries are additionally reported as rate-normalised detections (detections per 100 hours) using civil-twilight definitions to account for unequal period durations. The released dataset contains 4,623 independent detection events for the four ungulate species (long-tailed goral: 2,317; water deer: 814; Siberian roe deer: 808; wild boar: 684) recorded at 82 camera stations between April 2022 and May 2023. Survey effort totalled 29,850 functional camera-trap nights (30,410 scheduled nights, including 560 inactive nights from recorded downtime). All released files are listed in the Data resources section and include event-level records, station-level covariates, generalised coordinates and effort summaries to support reproducible reuse.

Indexed as

camera trappingdetection probabilitydiel activityoccupancy modellingprotected speciesSouth Koreatemporal overlapungulates

Identifiers

PMID42471819
PMCPMC13379711

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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.