Paddy rice methane emissions across Monsoon Asia

Paddy field
DOI: 10.1016/j.rse.2022.113335 Publication Date: 2022-11-14T05:56:48Z
ABSTRACT
Although rice cultivation is one of the most important agricultural sources methane (CH4) and contributes ∼8% total global anthropogenic emissions, large discrepancies remain among estimates CH4 emissions from (ranging 18 to 115 Tg yr−1) due a lack observational constraints. The spatial distribution paddy-rice has been assessed at regional-to-global scales by bottom-up inventories land surface models over coarse resolution (e.g., > 0.5°) or units agro-ecological zones). However, high-resolution flux capable capturing effects local climate management practices on as well replicating in situ data, challenging produce because scarcity maps insufficient understanding predictors. Here, we combine methane-flux data 23 eddy covariance sites MODIS remote sensing with machine learning 1) evaluate data-driven model performance variable importance for predicting fluxes; 2) gridded up-scaling 5000-m across Monsoon Asia, where ∼87% area cultivated ∼ 90% production occurs. Our random-forest achieved Nash-Sutcliffe Efficiency values 0.59 0.69 8-day fluxes site mean respectively, temperature, biomass water-availability-related indices We estimate average annual (winter fallow season excluded) paddy throughout Asia be 20.6 ± 1.1 yr−1 2001–2015, which lower range previous inventory-based (20–32 yr−1). also suggest that this region have declining 2007 through 2015 following declines both growing emission rates per unit area, suggesting likely not contributed renewed growth atmospheric recent years.
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