Wetland carbon models scaled CO₂ better than methane
WHAT THE EVIDENCE SAYS
Using data from 24 freshwater and salt-marsh sites, researchers compared machine-learning models for gross primary production, ecosystem respiration, net ecosystem exchange and methane flux. CO₂-related performance was moderate, while methane models were substantially weaker, reflecting the strong local influence of soil and hydrologic conditions.
WHY IT MATTERS / OUR READ
Regional upscaling is valuable, but greenhouse-gas certainty is pool-specific. A model that performs acceptably for CO₂ exchange should not inherit the same confidence for methane.
CAVEATS / UNCERTAINTY
The site network and input variables constrain generalization, and predictive skill for methane was modest. Model agreement is not a substitute for field validation when management or accounting depends on site-level fluxes.
SOURCE
Ecological Processes — primary modeling study
View original evidence ↗
An ensemble model built from 24 southeastern U.S. wetland sites produced useful regional CO₂ estimates, but methane remained much harder to predict.
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