Understanding the impact of anthropogenic structures on wildlife is essential for balancing ecosystem services. This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems utilizing spatial occupancy models and camera trap survey data. We examined the occupancy probability of mammals (roe deer, water deer, and wild boar) around wind farms and identified the influencing factors. The results revealed that roe deer exhibited the highest occupancy probability (0.936), water deer exhibited the lowest (0.503), and wild boar exhibited intermediate values (0.657). For roe deer, the occupancy probability increased with distance from the wind turbine, whereas a high canopy height had a negative impact. Water deer showed a positive correlation with decreasing distance to agricultural land and increasing distance to residential land. Canopy height also contributed positively. Similarly, wild boar displayed a positive association with increased canopy height. Analyzing the impact of wind farm construction time, water deer exhibited a decrease in occupancy probability with more recent construction, whereas wild boars showed the opposite trend. The predicted occupancy probability indicated that roe deer and water deer had the lowest probability near recently built wind farms, whereas wild boar had the highest probability. The results of this study underscore the necessity for continuous monitoring and comprehensive data collection to understand wildlife adaptation mechanisms, avoidance behaviors, and the wind farm forest ecosystem.

Understanding the impact of anthropogenic structures on wildlife is essential for balancing ecosystem services. This study explored the impacts of anthropogenic disturbances, particularly wind farms, on South Korean Forest ecosystems utilizing spatial occupancy models and camera trap survey data. We examined the occupancy probability of mammals (roe deer, water deer, and wild boar) around wind farms and identified the influencing factors. The results revealed that roe deer exhibited the highest occupancy probability (0.936), water deer exhibited the lowest (0.503), and wild boar exhibited intermediate values (0.657). For roe deer, the occupancy probability increased with distance from the wind turbine, whereas a high canopy height had a negative impact. Water deer showed a positive correlation with decreasing distance to agricultural land and increasing distance to residential land. Canopy height also contributed positively. Similarly, wild boar displayed a positive association with increased canopy height. Analyzing the impact of wind farm construction time, water deer exhibited a decrease in occupancy probability with more recent construction, whereas wild boars showed the opposite trend. The predicted occupancy probability indicated that roe deer and water deer had the lowest probability near recently built wind farms, whereas wild boar had the highest probability. The results of this study underscore the necessity for continuous monitoring and comprehensive data collection to understand wildlife adaptation mechanisms, avoidance behaviors, and the wind farm forest ecosystem.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.

An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.