Changes between Version 5 and Version 6 of EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects


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Timestamp:
2012-03-07 23:59:01 (8 years ago)
Author:
jeroens
Comment:

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  • EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects

    v5 v6  
    15153. Search for time series values of annual relative primary productivity that may represent historical productivity 'regime shifts' impacting biomasses throughout the ecosystem; 
    1616 
    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. 
     174. 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. 
    1818 
    1919In 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?"