African swine fever (ASF) is a highly contagious disease affecting domestic pigs and wild boars, with no effective vaccine or treatment available. In South Korea, extensive measures have been implemented to prevent ASF transmission between wild boars and ASF spillover from wild boars to pig farm sectors, including the search for ASF-infected carcasses in mountainous forests and the installation of fences across wide areas of these forests. To determine the priority search range for infected carcasses and establish pig farm-centered quarantine measures, it is necessary to predict the specific path of ASF outbreaks in wild boars and identify pig farms at high risk of ASF spillover from wild boars. Here, we aimed to predict suitable areas and geographical paths for ASF outbreaks in wild boars using the MaxEnt model and shortest-path betweenness centrality analysis. The analysis identified a high frequency of ASF outbreaks in areas with a suitability value ≥0.4 on the suitability map and in areas within a 1.8 km range from the path on the shortest-path map, indicating these areas were high-risk zones for ASF outbreaks. Among the 5063 pig farms analyzed, 37 were in the high-risk zone on the suitability map, 499 were in the high-risk zone on the shortest-path map, and 9 were in both risk zones. Of the 51 pig farm sectors with a dense distribution of pig farms (kernel density ≥ 8), 25 sectors were in contact with or partially overlapped the high risk zone on the suitability map, 18 sectors were located within the high risk zone on the shortest-path map, and 14 sectors were located within both risk zones. These findings aided in determining the priority range for searches for wild boar carcasses and enabled the establishment of preemptive ASF prevention measures around the pig farming sectors that are at risk of ASF spillover from wild boars.

In the present study, behavioral states for habitat selection are examined using a discrete-time Markov chain (DTMC) combined with a network model with wildlife movement data. Four male boars (Sus scrofa Linnaeus) at the Bukhansan National Park in South Korea were continuously tracked with an interval of approximately 2 h to 313 days from June 2018 to May 2019. The time-series movement positions were matched with covariates of environmental factors (leaf types and water) in field conditions. Stationary probabilities were used to quantify the habitat selection preference of wild boars, including maximum probability (0.714) with the “broadleaf without water habitat” where in-degree centrality was at its maximum (0.54), but out-degree centrality was low and even (0.17) for all states. Betweenness was the maximum for the “needleleaf without water habitat”, suggesting its role as a bridging habitat between other habitats. Out-closeness scores presented the highest values in the “broadleaf without water habitat” (0.26). Similarly, the first hitting time to the habitat was shortest at the “broadleaf without water habitat” (3.64–5.16 h) and slightly longer than one day in other examined habitats, including “broadleaf with water,” “needleleaf without water,” and “no-leaf without water”. The network model using the Markov chain provided information on both local movement behavior and general resource-use patterns of wild boars in field conditions.

The wild boar (Sus scrofa) is a highly adaptable species that has spread into urban-proximate areas, consequently intensifying human–wildlife conflicts in South Korea. Understanding the range and environmental preferences of this species is crucial for efficient population management. Therefore, we investigated wild boar occupancy in Bukhansan National Park (BNP), a protected area near Seoul. We deployed camera traps at 24 locations from March to May 2022 to investigate spring season habitat use patterns. We used single-season, single-species occupancy modeling to explore the impact of environmental and anthropogenic factors on the distribution of wild boar. During 2208 trap nights, we recorded wild boars at 14 sites, with an average occupancy probability (Ψ) of 0.67 ± 0.03. The distance to human settlements was the best predictor of occupancy, with wild boars avoiding regions near human activity sites. In contrast, proximity to puddles significantly increased detection and occupancy probabilities, indicating the importance of water sources for drinking and wallowing. Wild boars also showed a preference for areas near agricultural lands but exhibited behavioral avoidance of direct human presence. Our spring season findings suggest the need for targeted management strategies that prioritize population control in areas far from settlements but adjacent to water and agricultural boundaries. This study provides critical insights into the spatial ecology of wild boars in urban-proximate landscapes and provides science-based measures for mitigating conflicts and disease risks. We recommend long-term monitoring for the assessment of seasonal variations and efficacy of management interventions.

The mitogenome of the Korean S. vulgaris is a circular molecule of 16,511 bp, consisting of a control region and a conserved set of 37 genes containing 13 protein-coding genes (PCGs), 22 tRNA genes and 2 rRNA genes (12S rRNA and 16S rRNA). The mitogenome of the Korean S. vulgaris is AT-biased, with a nucleotide composition of 32.0% A, 30.9% T, 12.6% G and 24.5% C. The phylogenetic analysis revealed that the Korean red squirrel S. vulgaris is well grouped with the European red squirrel S. vulgaris and formed a sister clade to the Old World flying squirrels of the genus Pteromys.

The diet of wild boars (Sus scrofa) is highly diverse, consisting of both plant and animal materials, and their foraging behavior varies seasonally. However, limited research has investigated the composition of macrofungi in the diet of these omnivorous mammals, and relevant information remains scarce. This study aimed to assess the diversity of plant, animal, and macrofungal components in the diet of wild boars and to evaluate seasonal variations in Bukhansan National Park, Republic of Korea. Fecal samples were collected across different seasons, and DNA metabarcoding was applied to compare the taxonomic composition of dietary items. The results revealed that the wild boar diet included 54 plant genera, 9 animal genera, and 22 macrofungal genera. Among the plants, Pueraria, Quercus, and Ipomoea were the most dominant, with relative abundances of 21.3%, 18.3%, and 16.4%, respectively. The primary animal taxa consisted of Neomyia (54.7%) and Didea (39.4%), while Rhizopogon accounted for 95.3% of the macrofungal sequences detected. Overall, the study demonstrated clear seasonal variation in the diet of wild boars, reflecting their remarkable adaptability to changing environmental conditions.