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Filters: Tags: ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS (X) > partyWithName: Adam Bausch (X)

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Many ecosystem models, particularly those that are “mechanistic” (based on an understanding of processes), are over-parameterized (not identifiable). As a result, model parameters are selected (not estimated using an optimization technique), parametererror/covariance terms become extremely difficult to estimate, and Monte Carlo error propagation does not adequately capture the effect of all uncertain model terms. In those situations, techniques that evolved from Regional (Generalized) Sensitivity Analysis (RSA), such as Generalized Likelihood Uncertainty Estimation (GLUE), Bayes Monte Carlo, and Markov Chain Monte Carlo (MCMC), are preferred techniques for model error propagation. These techniques can be used to...


    map background search result map search result map Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models