Camera traps are used for various purposes, including monitoring the densities of wild species. The use of camera traps has its drawbacks, but it continues to evolve and improve in different approaches. In this study, we evaluated the minimum number of cameras, and the duration of recording required to estimate densities with a given relative accuracy (measured by coefficient of variation) for selected target species: red deer, roe deer, wild boar, bear, fox, and badger. Fieldwork was conducted in the Menišija area between March 2023 and March 2024, covering an area of 60 km². Using 99 camera traps on 149 systematically distributed plots, we captured 247986 images over 79 recording days. With the analytical bootstrap method, we examined the changing of the coefficient of variation (KV%). Results showed that for a highly reliable estimate of red deer density, 45 cameras recording for 79 days are required, while medium accuracy can be achieved with 10 cameras. For medium accuracy, 21 cameras are needed for roe deer, 45 for foxes, 63 for bears, and 81 for wild boars. High accuracy in estimating red deer density can also be achieved by recording with 99 cameras for 7 days, for roe deer in 9 days, for foxes in 21 days, for bears in 63 days, and for badgers in 48 days. Medium accuracy for wild boar can be determined with 28 recording days. Further research should focus on analysing the interrelationship between recording time and the number of cameras, as well as the impact of environmental factors and species-specific characteristics.
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