Methane emissions from subtropical wetlands: An evaluation of the role of data filtering on annual methane budgets

•Different filtering treatments resulted in 7-50% of CH4 data removal•The most important variables in random forests (RF) were similar across treatment•RF with unrestricted variables resulted in different important variables•Variable selection may be more important than filtering in budget estimation