Leveraging explainable AI to predict soil respiration sensitivity and its drivers for climate change mitigation

Abstract Global warming is one of the most pressing and critical problems facing the world today. It is mainly caused by the increase in greenhouse gases in the atmosphere, such as carbon dioxide (CO2). Understanding how soils respond to rising temperatures is critical for predicting carbon release...

Celý popis

Podrobná bibliografie

Hlavní autoři:	Pierfrancesco Novielli, Michele Magarelli, Donato Romano, Pierpaolo Di Bitonto, Anna Maria Stellacci, Alfonso Monaco, Nicola Amoroso, Roberto Bellotti, Sabina Tangaro
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-04-01
Edice:	Scientific Reports
Témata:	Soil Respiration Sensitivity Machine Learning Explainable Artificial Intelligence (XAI) Q10 Climate Change
On-line přístup:	https://doi.org/10.1038/s41598-025-96216-y
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!