Abstract
Nowadays, halting greenhouse gasses (GHG) emission is the world's major concern to mitigate global climate change. In oil palm cultivated tropical peatland, GHG emission is primarily constituted of CO<sub>2</sub> flux emitted from aerobic heterotrophic respiration (R<sub>h</sub>), the natural degradation process of organic material in an oxidative environment. By coupling descriptive and predictive statistical approaches, this study attempt to gain an in-depth understanding of the effects of zeolite rates and incubation time on CO<sub>2</sub> emission that came from aerobic R<sub>h</sub> in peat, as well as their decomposition process. This study found that zeolite amelioration up to 30% of the peat at field capacity and starting from the first month of observation (month-1) significantly restricted peat R<sub>h</sub>, denoted by a reduced amount of observed CO<sub>2</sub> flux (0.021 and 0.019-0.012 mg m<sup>-2</sup> sec<sup>-1</sup>, respectively). Both factors and several soil variables exhibited some non-linear relationships with R<sub>h</sub> at different magnitudes and importance, showing the limitation of the traditional linear-based approach to interpreting their complex interrelationships, as well as predicting CO<sub>2</sub> flux. This study highlights the vital role of a polynomial (GAM) and artificial intelligence (Cubist and GBM) -based pedotransfer models in improving our understanding regarding the dynamic of the peat decomposition process as affected by zeolite amendment.
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