Disaggregating the Carbon Exchange of Degrading Permafrost Peatlands Using Bayesian Deep Learning

Abstract Extensive regions in the permafrost zone are projected to become climatically unsuitable to sustain permafrost peatlands over the next century, suggesting transformations in these landscapes that can leave large amounts of permafrost carbon vulnerable to post‐thaw decomposition. We present...

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Auteurs principaux:	Norbert Pirk, Kristoffer Aalstad, Erik Schytt Mannerfelt, François Clayer, Heleen deWit, Casper T. Christiansen, Inge Althuizen, Hanna Lee, Sebastian Westermann
Format:	Artigo
Langue:	Inglês
Publié:	Wiley 2024-05-01
Collection:	Geophysical Research Letters
Sujets:	carbon fluxes permafrost degradation Bayesian neural networks
Accès en ligne:	https://doi.org/10.1029/2024GL109283
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