Changes between Version 1 and Version 2 of EwEugRunEcosim


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Timestamp:
2010-02-07 22:44:20 (9 years ago)
Author:
varunr
Comment:

Added page and all images.

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  • EwEugRunEcosim

    v1 v2  
    441. Fishing rates can be ‘sketched’ over time and results (catches, economic performance indicators, biomass changes) examined for each sketch. This is using Ecosim in a ‘gaming’ mode, where the aim is to encourage rapid exploration of options (see below for help with this approach). 
    55 
    6 2. Formal optimization methods can be used to search for fishing policies that would maximize a particular policy goal or ‘objective function’ for management (see [wiki:EwEugFishingPolicySearch Using Ecosim for policy exploration] for help with this approach). 
     62. Formal optimization methods can be used to search for fishing policies that would maximize a particular policy goal or ‘objective function’ for management (see [wiki:EwEugFishingPolicySearch Using Ecosim for policy exploration] for help with this approach). 
    77 
    88The first approach has been widely applied for exploring ecosystem effects of changes in fishing effort and is implemented using the Biomass form, the main form for running Ecosim (Time dynamic (Ecosim) > Output > Biomass). 
     
    1616'''Run''' 
    1717 
    18 Click the ''Run'' button at the bottom right of the form to generate time series of biomasses. The magnitude of changes for each group will depend on many factors, chiefly the fishing regime and the [[Vulnerabilities flow control.htm|vulnerability]] settings. 
     18Click the ''Run'' button at the bottom right of the form to generate time series of biomasses. The magnitude of changes for each group will depend on many factors, chiefly the fishing regime and the [wiki:EwEugVulnerabilitiesFlowControl vulnerability] settings. 
    1919 
    2020Note that fishing regimes should generally change gradually from one fishing mortality level to the next, not abruptly. Also, the baseline (Ecopath) fishing mortality should be left unchanged for a year or so. 
    2121 
    22 After running Ecosim, use [[Ecosim plot.htm|Ecosim plot]]and [[Ecosim results.htm|Ecosim results]] to see detailed results in graphic and tabular form. 
     22After running Ecosim, use Ecosim plot and Ecosim results to see detailed results in graphic and tabular form. 
    2323 
    2424'''''Features of the lower (Fishing rate) panel''''' 
     
    4848'''''Features of the upper (Ecosim biomass output) panel''''' 
    4949 
    50 '''../Resources/Images/Eye_open.PNGShow groups...''' 
     50[[Image(wiki:EwEugImages:Eye_open.PNG)]] '''Show groups...''' 
    5151 
    5252Opens a form for hiding/displaying groups on the biomass graph. 
     
    6666'''Sum of squared deviations (SS)''' 
    6767 
    68 This is an Ecosim output. When an Ecosim model is loaded, you can load time series ‘reference’ data on relative and absolute biomasses of various groups over a particular historical period, along with estimates of changes in fishing impacts over that period.  After time series data have been loaded and applied (see [[Time series.htm|Time series]]), a statistical measure of goodness of fit to these data is generated each time Ecosim is run.  This goodness of fit measure is a weighted sum of squared deviations (SS) of log biomasses from log predicted biomasses, scaled in the case of relative abundance data by the maximum likelihood estimate of the relative abundance scaling factor ''q'' in the equation ''y'' = ''qB'' (''y'' = relative abundance, ''B'' = absolute abundance). 
     68This is an Ecosim output. When an Ecosim model is loaded, you can load time series ‘reference’ data on relative and absolute biomasses of various groups over a particular historical period, along with estimates of changes in fishing impacts over that period.  After time series data have been loaded and applied (see [wiki:EwEugTimeSeries Time series]), a statistical measure of goodness of fit to these data is generated each time Ecosim is run.  This goodness of fit measure is a weighted sum of squared deviations (SS) of log biomasses from log predicted biomasses, scaled in the case of relative abundance data by the maximum likelihood estimate of the relative abundance scaling factor ''q'' in the equation ''y'' = ''qB'' (''y'' = relative abundance, ''B'' = absolute abundance). 
    6969 
    70 See [wiki:EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects Time series fitting in Ecosim] for more details about the sum of squared deviations measure. 
     70See [wiki:EwEugTimeSeriesFittingInEcosimEvaluatingFisheriesAndEnvironmentalEffects Time series fitting in Ecosim] for more details about the sum of squared deviations measure. 
    7171 
    7272'''Main display panel'''