Accurately modeling gross primary productivity (GPP) and evapotranspiration (ET) in terrestrial ecosystems is essential for understanding and predicting the global carbon and water cycles. However, ...
Marine biogeochemical modelling combines physical, chemical and biological processes to simulate the flow of nutrients, carbon and energy through ocean ecosystems. Such models represent the ...
A team of researchers has unveiled a groundbreaking method leveraging Graph Neural Networks (GNNs) and transfer entropy to significantly enhance the prediction of mesozooplankton community dynamics ...
In a new study published in the Proceedings of the National Academy of Sciences, authors Gabriel Gellner and Kevin McCann from the University of Guelph and SFI External Professor Alan Hastings (UC ...
As global challenges grow increasingly interconnected, technological solutions are rarely confined to a single country. Through research collaboration, open sharing of expertise and partnerships with ...
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