Towards a Transnational Acoustic Biodiversity MOnitoring Network

The "Towards a Transnational Acoustic Biodiversity Monitoring Network (TABMON)" project is a pioneering initiative aimed at enhancing biodiversity monitoring across Europe. It leverages innovative autonomous acoustic sensing technology to observe and analyze biodiversity, especially focusing on bird species. The project is structured into three main components: Deployment of a Transnational Acoustic Monitoring Network: This involves setting up an extensive network of autonomous acoustic sensors across varied European landscapes. The goal is to collect and analyze sounds from different habitats, thereby providing insights into species distribution, abundance, and migration patterns. Utilization of Artificial Intelligence (AI) for Data Analysis: The project will employ advanced AI techniques to process the vast amounts of audio data collected. This step is crucial for accurately identifying and cataloging different species based on their vocalizations. The AI will help in deriving metrics such as species abundance and migration phenomena. Data Integration and Analysis: The final component focuses on integrating acoustic data with other biodiversity data sources. This comprehensive approach aims to create a more accurate and holistic understanding of biodiversity patterns and trends. By harmonizing data collection and analysis methods across national borders, TABMON aims to fill existing gaps in biodiversity monitoring and contribute significantly to EU biodiversity policy and conservation efforts. The project's innovative use of technology and collaborative approach make it a significant step forward in transnational biodiversity monitoring.

The TABMON project aims to advance biodiversity monitoring across Europe through a novel approach using autonomous acoustic sensing. This project is designed to fill gaps in current biodiversity reporting and contribute to achieving the targets set in the EU Biodiversity Strategy for 2030. It involves the harmonization of acoustic biodiversity observations collection, analysis, and integration, leveraging advancements in technology and AI. At its core, TABMON seeks to demonstrate the effectiveness of acoustic observation in transnational biodiversity monitoring. It focuses on deploying an acoustic monitoring network that captures and analyzes sounds across different European landscapes, using these audio data to gain insights into species distribution, abundance, and migration patterns. The integration of this data with other biodiversity information sources is a key aspect, aiming to provide a more comprehensive understanding of the European biodiversity landscape. The project is underpinned by a collaborative effort that brings together expertise from various fields, including species and habitat monitoring, conservation, research infrastructures, and EU biodiversity policy. Through its innovative approach and transdisciplinary collaboration, TABMON sets out to enhance the effectiveness of biodiversity monitoring and contribute significantly to the conservation and management of European biodiversity.