Listening to mangroves: Using Autonomous Recording Units and Machine Learning tools to assess avian biodiversity in the mangroves of coastal Suriname

 

 

 

 

 

Listening to Mangroves: Using Autonomous Recording Units and Machine Learning Tools to Assess Avian Biodiversity in the Mangroves of coastal Suriname, presents findings from research conducted across six coastal sites between December 2024 and July 2025.

Using passive acoustic monitoring and the BirdNET algorithm, the study identified 508 bird species and demonstrated statistically significant differences in acoustic complexity between mangrove types. The research highlights the ecological importance of mangroves for biodiversity and coastal protection, and demonstrates how non-invasive, data-driven tools can strengthen ecosystem monitoring and inform climate-resilient coastal management.

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Diagnostico Participativo de Bioversidad del Resguardo el Gran Tescual (Spanish)

 

 

 

 

This report presents evidence from the Gran Tescual Indigenous Reservation Climate Plan project, which generated participatory, intercultural and gender-responsive research to inform biodiversity conservation, climate adaptation and sustainable livelihoods in the Gran Tescual territory of Colombia.

Based on community co-production of a participatory biodiversity diagnosis, illustrated ethnobotanical guide and climate plan, findings highlight key ecosystem pressures, integrate Indigenous knowledge with scientific evidence, and support strengthened territorial governance and climate-resilient strategies.

 

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