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# RUN IBASAM
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# How to run IBASAM ?
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IBASAM simulation can be run using default parameters (corresponding to [Scorff river](https://www6.inra.fr/diapfc/Dispositifs/Observatoires-in-natura/Scorff)) with the commands below :
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... | ... | @@ -21,7 +21,8 @@ demoIbasam(nYears, CC_Temp, CC_Amp, plotting = TRUE, window = FALSE, returning = |
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* CC_Temp: increase of average water temperature (in degrees Celsius) over the simulation (ex: CC_Temp = 3). See [section](riverclimate) for more information.
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* CC_Amp: increase of amplitude of water flow over the simulation (ex: CC_Amp = 1.25, i.e. +25%). See [section](riverclimate) for more information.
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## Personalize
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# How to personalize IBASAM ?
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Note that, the [demoIbasam](https://github.com/Ibasam/IBASAM/blob/master/IBASAM/R/demoIbasam.R) function can be modified to adjust parameters values to your system.
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1. Create a copy of [demoIbasam](https://github.com/Ibasam/IBASAM/blob/master/IBASAM/R/demoIbasam.R). For example, *myIbasam.R*
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3. Rename the function and modify parameters values (see section below):
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... | ... | @@ -44,4 +45,3 @@ myIbasam(10) |
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## Initialization
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At the beginning of each simulation (a 1st of April) a virtual population was created with individuals from each life stages to represent a standard population from the Scorff river (Caudal and Prévost, 2008): 1.2 emerging juvenile/m2 of riffle and rapid equivalent area (RA), 1.32 parr of 1 year/100 m2 RA, 3.61 smolt running to sea/100 m2 RA, 3.61 grilse/1000 m2 RA (1 sea-winter anadromous adult) and 0.6 multiple sea winter individuals/1000 m2 RA. Each individual’s state variable was initialized by drawing from probability distributions describing their variability (see Appendix A). The first simulation step was then a summer. |
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