By unlocking the mysteries of CH₄ emissions from wetlands, our work improved the accuracy of the LPJ-GUESS vegetation model using Bayesian statistics. Via assimilation of long-term real data from a wetland, we significantly enhanced CH₄ emission predictions. This advancement helps us better understand wetland contributions to atmospheric CH₄, which are crucial for addressing climate change. Our method offers a promising tool for refining global climate models and guiding conservation efforts