Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities.

ABSTRACT: As the Arctic region moves into uncharted territory under a warming climate, it is important to refine the terrestrial biosphere models (TBMs) that help us understand and predict change. One fundamental uncertainty in TBMs relates to model parameters, configuration variables internal to the model whose value can be estimated from data. We incorporate a version of the Terrestrial Ecosystem Model (TEM) developed for arctic ecosystems into the Predictive Ecosystem Analyzer (PEcAn) framework. PEcAn treats model parameters as probability distributions, estimates parameters based on a synthesis of available field data, and then quantifies both model sensitivity and uncertainty to a given parameter or suite of parameters. We examined how variation in 21 parameters in the equation for gross primar

SUBMITTER: Euskirchen ES 

PROVIDER: S-EPMC9285828 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature