Modeling methane emissions from rice paddies

Abstract

The quantification of methane (CH 4 ) emissions from global rice paddies is still highly uncertain. The extrapolation of CH 4 release rates from point measurements to regional level or empirically correlating methane emission rates with a few factors (e.g., temperature and rice primary production) is unlikely to yield reliable results. Reducing the uncertainties in estimates of current CH 4 emission and predicting its future change require a process model to simulate CH 4 emissions from various paddyland environments. CH 4 emission is an ecosystem process closely coupled to plant growth and soil organic matter decomposition. In this study a methane emission model was developed based on supplies of carbon substrate for methanogens by rice primary production and soil organic matter degradation, direct environmental controls on methanogenesis, and the balance between CH 4 production and consumption by methanotrophic oxidation. A validation of the model indicated its reasonable ability to calculate CH 4 emission rates and their seasonal variations. The model, when coupled with supporting data sets, would complement spatial and dynamic analysis of CH 4 emissions from rice paddies in the framework of climate‐plant‐soil interactions.