Identification of avifauna in the lowland forest ecosystem at Alas Purwo National Park, Banyuwangi based on bioacoustic approach

Abstract

Birds use sound as a communication mens. Each bird species has a unique and varied sound-based character based on differences in sound frequency. Information on the sound characteristics of each bird species could be used to identify bird species. Identification of bird species is one component of conservation activities in encouraging the development of technology through a bioacoustic approach. This study aims to determine the types of bird sounds in identifying bioacoustic-based species in lowland forest ecosystems in Alas Purwo National Park. Data was collected in April 2017 using a digital scraping device (Android Sony Experia mobile phone and microphone) installed at the sampling point for 3 days. Analysis of animal sounds using Raven Pro Software 1.5.0. The results showed that variations of bird sound types obtained amounted to 34 types of sound types with 26 species identified. This research shows that the bioacoustic approach can estimate the existence of a species and has the potential as a method of biomonitoring biodiversity in an ecosystem.