Multi-Criteria Assessment of Ecological Process Models

@inproceedings{Reynolds1998MultiCriteriaAO,
  title={Multi-Criteria Assessment of Ecological Process Models},
  author={Joel H. Reynolds and E. David Ford},
  year={1998}
}
The Pareto Optimal Model Assessment Cycle (POMAC), a multiple-criteria model assessment methodology, is described for exploring uncertainty in the relationships between ecological theory, model structure, and assessment data. Model performance is optimized to satisfy, simultaneously, each component of a vector of assessment criteria (model outputs), rather than the usual procedure of optimizing performance with respect to a single criterion. Pareto Optimality is used to define the vector… CONTINUE READING
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tree height frequency distribution at year 30 (left column) and relationship of tree height at year 28 to subsequent two year height increment (right column)

5 Simulationresultsfromarepresentativeparameterizati
The permanent plot data are shown in the first row of graphs. The left column of each histogram displays cumulative mortality at year 30. The two year height increment plots display the suppressed and dominant tree growth rate regressions for the simulation (solid lines) and, for reference, a locall • 1979
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tree height frequency distribution at year 30 (left column) and relationship of tree height at year 28 to subsequent two year height increment (right column)

4 Simulationresultsfromarepresentativeparameterizati
The permanent plot data are shown in the first row of graphs. The left column of each histogram represents cumulative mortality at year 30. Two year height increment plots display the suppressed and dominant tree growth rate regressions for the simulation (solid lines) (Table 3) and, for reference, • 1979

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