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• Opportunity to participate in study on what counts as evidence in conservation

Please help us by participating in a MSc research project on what you consider to be 'evidence' in your work in conservation.

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• AI for Conservation Office Hours: 2025 Review

Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.

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• Population genetics with eDNA

Using SNP markers with an Amphibian species, we were able to identify a total of 17,617 nuclear single nuclear polymorphisms shared across individual, pond eDNA (4 populations) and tank eDNA samples (where tadpoles of the four ponds were housed), enabling us to detect genetic structuring across sampling locations (previously demenstrated with microsatellites and tissue samples), consistent with individual-based estimates. Collecting only the matrix (here water) allows describing the existing population structure...that could be a nice progress for conservation biology...

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• Siguiendo Ballenas: rastreo satelital desde el espacio revela sus rutas migratorias // Tracking right whales from outer space reveals their migratory routes

Un ambicioso proyecto internacional está usando transmisores satelitales para monitorear los viajes migratorios de ballenas francas australes, permitiendo entender sus sorprendentes patrones de desplazamiento en tiempo real.  //  An ambitious international project is using satellite tags to monitor the migratory journeys of southern right whales, allowing researchers to understand their surprising movement patterns in real time.

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• Zimbabwe Shines: 5 Key Takeaways from Ramsar COP15

Making waves in wetland conservation: Explore the outcomes and insights from Ramsar COP15, a premier global event on wetland protection and sustainability

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• AI for Conservation Office Hours: 2025 Review

Read about the advice provided by AI specialists in AI Conservation Office Hours 2025 earlier this year and reflect on how this helped projects so far.

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• BoutScout – Beyond AI for Images, Detecting Avian Behaviour with Sensors

In this case, you’ll explore how the BoutScout project is improving avian behavioural research through deep learning—without relying on images or video. By combining dataloggers, open-source hardware, and a powerful BiLSTM deep learning model trained on temperature data, the team has reduced the time needed to analyse weeks or even months of incubation behaviour to just seconds. This has enabled the discovery of new patterns in how tropical birds incubate their eggs across different elevations and climates. With tools soon to be released on PyPI, including a no-code platform for behavioural analysis, this work offers a fresh, scalable approach for conservationists and researchers working on breeding data at the tropics.

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• Opportunity to participate in study on what counts as evidence in conservation

Please help us by participating in a MSc research project on what you consider to be 'evidence' in your work in conservation.

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• Opportunity to participate in study on what evidence you trust in conservation

This is a chance to participate in a short survey about the preferences that conservation practitioners have for evidence. There's a chance to win one of three £20 Mastercard gift cards.

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• Nature Tech for Biodiversity Sector Map launched!

Conservation International is proud to announce the launch of the Nature Tech for Biodiversity Sector Map, developed in partnership with the Nature Tech Collective! 

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• LEAPs and bounds

How better spatial data reduces nature risk for business