The uncertainty analysis workflow in PEcAn consists of three automated steps: (1) a meta-analysis to
summarize observational trait data and constrain ecosystem model parameters; (2) a parameter sensitivity analysis; and (3) a variance decomposition analysis that uses the outputs from the first two steps to partition predictive uncertainty into the contributions from different model parameters.
Using ecosystem experiments to improve vegetation models https://www.nature.com/articles/nclimate2621
A quantitative assessment of a terrestrial biosphere model's data needs across North American biomes https://agupubs.onlinelibrary.wiley.com/doi/full/10.1002/2013JG002392