Exploring the application of frequency-dependent acoustic diversity index in human-dominated areas
Background & Aims:As a popular tool for rapid biodiversity assessment using passive acoustic monitoring(PAM),acoustic indices have attracted increasing attention in the field of soundscape ecology in recent years,which can help quantify the level of activity or diversity of biological sounds.However,the impact of complicated anthropogenic noise on the numerical results of acoustic indices and the methods for suppressing it have not been well understood.This deficit in understanding poses a challenge for wider applications of acoustic indices in human-dominated areas such as urban green infrastructure.Methods:In this paper,we investigated the frequency-dependent acoustic diversity index(FADI),a recently proposed acoustic index that is robust to noise,in relation to its application conditions and performance in human-dominated areas.Specifically,three controlled computational experiments were conducted focusing on three aspects including the lower limit of signal-to-noise ratio(SNR),the spatial coverage for bird vocalization monitoring,and the limitations imposed by different types of interferences.Results:The results of the controlled simulation experiments show that,(1)FADI was significantly robust to noise within the SNR range from-5 dB to 40 dB.(2)The monitoring area of FADI can be expanded by more than 6 times compared to conventional acoustic diversity index(ADI).(3)FADI can effectively suppress the effects of temporally stationary interference such as sounds from lawn mower,rain,and flowing water,but its performance shows a certain degree of degradation in environments with highly time-varying noise.Conclusions:FADI has a great potential to serve as a stable and reliable tool for rapid biodiversity assessment in human-dominated areas.Furthermore,the numerical robustness of FADI can be improved by use of the microphone array technology that can provide spatial signal processing capability in addition to current time-frequency processing.
acoustic indicesrapid biodiversity assessmentpassive acoustic monitoringfrequency-dependent acoustic diversity index
陈蕾、许志勇、苏菩坤、赖小甜、赵兆
展开 >
南京理工大学电子工程与光电技术学院,南京 210094,中国
Center for Global Soundscapes,Purdue University,West Lafayette 47907,USA
NETL
NSTL
万方数据
