Linking vegetation changes to Arctic methane efflux

Abstract

Arctic methane emissions are uncertain, impacting climate models. We propose combining vegetation data with machine learning to improve methane process predictions, offering more reliable insights. This approach can better inform global policies to reduce warming and address climate change effectively.

Keywords: Arctic region; methane efflux; methane process model; vegetation type.