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News

The perception of permafrost thaw in the Sakha Republic (Russia): Narratives, culture and risk in the face of climate change

05.10

The perception of permafrost thaw in the Sakha Republic (Russia): Narratives, culture and risk in the face of climate change

Arctic regions are currently undergoing unprecedented climatic and socio-environmental changes. Both scientific research and the observations and knowledge of Arctic residents provide detailed information about the multiplicity of transformations.

Keeping the sampling going! Monitoring Lena River biogeochemistry during the pandemic.

23.09

Keeping the sampling going! Monitoring Lena River biogeochemistry during the pandemic.

New Updates from the Lena River despite the global pandemic. 

 

These cartoons add the cool factor to permafrost science

08.09

These cartoons add the cool factor to permafrost science

New story about Nunataryuk´s communication and dissemination efforts. "These cartoons add the cool factor to permafrost science - A multimedia science communication project combines art, game-playing, and augmented reality"

New Nunataryuk paper on source and fate of organic carbon from eroding permafrost coasts

18.08

New Nunataryuk paper on source and fate of organic carbon from eroding permafrost coasts

Once released, organic carbon can be degraded and emitted as greenhouse gas to the atmosphere, or it can be stored away in marine sediments.

New Nunataryuk paper on modelling subsea methane emissions on East Siberian Arctic Shelf

10.07

New Nunataryuk paper on modelling subsea methane emissions on East Siberian Arctic Shelf

New paper! AOM acts as an efficient barrier for upward migrating dissolved methane in East Siberian Arctic Shelf sediments.

The importance of disease modelling during a pandemic

25.05

The importance of disease modelling during a pandemic

The ongoing pandemic challenges global societies. Nunataryuk scientists of the UNIVE have been analysing and modelling the COVID-19 outbreak and spreading trends in Italy. They have used similar epidemiological models for a study within Nunataryuk to predict anthrax disease in Arctic regions.

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