AI-assisted recognition for passive acoustic monitoring of birds in urban wetland parks
Aims:This study aims to explore the effectiveness of AI recognition-based passive acoustic monitoring of bird species in urban wetland parks,as well as to compare its results with traditional transect survey.Methods:A three-month concurrent monitoring has been carried out from March to May in 2023 at Wanzuitou Wetland Park in Guangzhou City,China.The transect method involved a twice-monthly survey,while acoustic monitoring method utilized two acoustic monitoring devices operating in triggered recording mode throughout the day.Audio files were transmitted via a 4G mobile network to a server,and bird species were identified using an AI model based on the Pearl River Delta bird list,filtered by confidence scores and manually reviewed.Results:The transect method recorded 2,200 individuals,whereas the acoustic monitoring collected 96,848 audio files,and obtained 34,117 valid records after screening and validation.Two methods identified a total of 70 bird species:48 species by the transect survey and 49 species by the acoustic monitoring,with 27 species common to both survey methods.Conclusions:The proportion of species overlapping between the two survey methods was less than half of the total species,suggesting that neither method can fully replace the other in this type of wetland park habitat.Transect survey is more accurate and makes it easier to estimate the population density,but it requires a higher level of bird species identification skills and involve more workloads.The acoustic monitoring can be automated and unmanned,making it easy to expand the scale of monitoring.However,processing the data from audio files is more challenging,and AI species identification results still need manual correction.The combination of traditional transect survey methods and AI recognition-based passive acoustic monitoring will provide higher accuracy and broader application prospects in the future.
bird diversitytransect survey methodpassive acoustic monitoringAI recognition model
万方数据
维普
