Data-driven modelling of methane fluxes across a mire complex based on replicated eddy covariance measurements and spatially-resolved driver information
Northern mires are significant natural sources of atmospheric methane (CH4), yet estimating CH4 emissions remains challenging due to their complex spatio-temporal dynamics. While eddy covariance (EC) measurements provide valuable insights into ecosystem-scale CH4 fluxes (FCH4) over mire areas typically < 0.05 km², the predictability of FCH4 at the mesoscale (∼0.5 – 20 km²) of a mire complex based
