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Using passive acoustic monitoring methods to survey birds communities in biodiverse agricultural farmlands in the EU

CORDIS · observation · Publication date unknown

rs can use them widely and reliably in the field to monitor bird communities. BIOMON's main objective is to extend the current state-of-the-art acoustic monitoring approaches through the novel use of machine learning techniques. BIOMON's overarching goal is to develop an innovative passive acoustic monitoring protocol that can be used to survey bird communities in biodiverse agricultural farmlands in the EU. The EU is home to many species of which the persistence depends on low-intensity agricultural areas, and consequently, developing appropriate monitoring tools for those areas remains a key research priority. The methods and monitoring protocol developed in BIOMON, through the collaboration of the ER, a conservation biologist, and the supervisor, a machine learning expert, have the potential to contribute to the objectives of the EU's Biodiversity Strategy for 2030 and other related policies such as the Common Agricultural Policy. Acoustic Indices, Bird Monitoring, Bioacoustics, Machine Learning, Soundscape Ecology

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recordType

award

status

CLOSED

region

EU

value

148488

unit

EUR