Changes between Version 5 and Version 6 of EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects
- Timestamp:
- 2012-03-07 23:59:01 (12 years ago)
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EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects
v5 v6 15 15 3. Search for time series values of annual relative primary productivity that may represent historical productivity 'regime shifts' impacting biomasses throughout the ecosystem; 16 16 17 4. Estimate a probability distribution for the null hypothesis that all of the deviations between model and predicted abundances are due to chance alone, i.e. under the hypothesis that there are no real productivity anomalies.17 4. Estimate a probability distribution for the null hypothesis that all of the deviations between model and predicted abundances are due to chance alone, i.e. under the hypothesis that there are no real productivity anomalies. 18 18 19 19 In addition to the nonlinear optimization routines described above the fit to data can also be improved in a feedback-process by examining some of the crucial ecological parameters in the EwE model (notably total mortality rates and the settings for top-down/bottom-up control). It is important to note here that such fitting does not include any 'fiddling-factors' internal to the model, instead the type of question that is addressed after each run is "which species parameters or ecological settings are not set such that the model captures the observed trends over time adequately?"