Advanced sound-based remote sensing technology for terrestrial animals could greatly enhance our ability of animals monitoring, research and protection. In this research, we designed an inexpensive bioacoustic localization system for terrestrial animals, which integrates commercial off-the-shelf recorders and wireless controllers and is much cheaper than most animal localization systems. Combined with the bioacoustic localization software we developed, the system is verifi ed to have the ability to fulfi ll our requirements because its localization errors along the X and Y directions are both less than 1.69 m, although the error along the Z direction is a little bit larger. In order to assess the factors infl uencing the localization accuracy, we applied Monte Carlo simulation method to conduct error analysis. We found that errors, including in surveying recording stations, estimating Time Difference of Arrival (TDOA), and estimating sound velocity, will all infl uence the fi nal localization accuracy. Besides, the Monte Carlo method could also be used for choosing the values of system parameters when implementing a bioacoustic localization system of terrestrial animals, such as the total number of recording stations and spatial ranges of the system.