//Function to bin cohorts according to the mass bins defined for the catch data
/// <summary>
/// Bin cohorts according to the mass bins defined for the catch data
/// Constructs a list of functional group and cohort indices falling within each mass bin
/// as well as the total biomass available to be fished in each
/// </summary>
/// <param name="c">The grid cell cohorts</param>
/// <param name="fishCatch">Fisheries catch data</param>
public void BinCohorts(GridCellCohortHandler c, InputCatchData fishCatch, FunctionalGroupDefinitions cohortFGs)
{
int mb = 0;
int[] FishFGs = cohortFGs.GetFunctionalGroupIndex("Endo/Ectotherm", "Ectotherm",false);
for (int i = 0; i < BinnedCohorts.Length; i++)
{
BinnedCohorts[i] = new List<Tuple<int[], double>>();
}
foreach (int fg in FishFGs)
{
for (int i = 0; i < c[fg].Count(); i++)
{
//Find the mass bin for this cohort
mb = fishCatch.MassBins.ToList().FindIndex(a => a >= c[fg,i].AdultMass);
if (mb < 0) mb = fishCatch.UnknownMassBinIndex - 1;
//Check if the current bodymass is greater than the proportion of the adult mass
if (c[fg, i].IndividualBodyMass >= c[fg, i].AdultMass * AdultMassProportionFished)
{
//Calculate the total biomass of this cohort
double CohortBiomass = (c[fg, i].IndividualBodyMass + c[fg, i].IndividualReproductivePotentialMass) *
c[fg, i].CohortAbundance;
//Add the indices and total biomass to the bins
BinnedCohorts[mb].Add(new Tuple<int[], double>(new int[] { fg, i }, CohortBiomass));
BinnedTotalModelBiomass[mb] += CohortBiomass;
}
}
}
}
public void ApplyCatches(GridCellCohortHandler c, InputCatchData fishCatch, int latIndex, int lonIndex)
{
//Hold the total catch in each mass bin for this cell
double[] BinnedCellCatch = new double[fishCatch.MassBins.Length];
//TO DO: make the time division flexible according to the model timestep
for (int mb = 0; mb < BinnedCellCatch.Length; mb++)
{
BinnedCellCatch[mb] = fishCatch.ModelGridCatch[latIndex, lonIndex, mb]/12.0;
if (BinnedCellCatch[mb] > 0)
{
if (BinnedTotalModelBiomass[mb] <= BinnedCellCatch[mb])
{
DefecitCatch[mb] = BinnedCellCatch[mb] - BinnedTotalModelBiomass[mb];
BinnedCellCatch[mb] = BinnedTotalModelBiomass[mb];
}
foreach (var v in BinnedCohorts[mb])
{
double Contribution = v.Item2 / BinnedTotalModelBiomass[mb];
double AbundanceCaught = Contribution * BinnedCellCatch[mb] / (c[v.Item1].IndividualBodyMass + c[v.Item1].IndividualReproductivePotentialMass);
c[v.Item1].CohortAbundance -= AbundanceCaught;
}
}
}
}
public void ApplyCatches(GridCellCohortHandler c, InputCatchData fishCatch, int latIndex, int lonIndex)
{
//Hold the total catch in each mass bin for this cell
double[] BinnedCellCatch = new double[fishCatch.MassBins.Length];
//TO DO: make the time division flexible according to the model timestep
for (int mb = 0; mb < BinnedCellCatch.Length; mb++)
{
BinnedCellCatch[mb] = fishCatch.ModelGridCatch[latIndex, lonIndex, mb] / 12.0;
if (BinnedCellCatch[mb] > 0)
{
if (BinnedTotalModelBiomass[mb] <= BinnedCellCatch[mb])
{
DefecitCatch[mb] = BinnedCellCatch[mb] - BinnedTotalModelBiomass[mb];
BinnedCellCatch[mb] = BinnedTotalModelBiomass[mb];
}
foreach (var v in BinnedCohorts[mb])
{
double Contribution = v.Item2 / BinnedTotalModelBiomass[mb];
double AbundanceCaught = Contribution * BinnedCellCatch[mb] / (c[v.Item1].IndividualBodyMass + c[v.Item1].IndividualReproductivePotentialMass);
c[v.Item1].CohortAbundance -= AbundanceCaught;
}
}
}
}
//Function to bin cohorts according to the mass bins defined for the catch data
/// <summary>
/// Bin cohorts according to the mass bins defined for the catch data
/// Constructs a list of functional group and cohort indices falling within each mass bin
/// as well as the total biomass available to be fished in each
/// </summary>
/// <param name="c">The grid cell cohorts</param>
/// <param name="fishCatch">Fisheries catch data</param>
public void BinCohorts(GridCellCohortHandler c, InputCatchData fishCatch, FunctionalGroupDefinitions cohortFGs)
{
int mb = 0;
int[] FishFGs = cohortFGs.GetFunctionalGroupIndex("Endo/Ectotherm", "Ectotherm", false);
for (int i = 0; i < BinnedCohorts.Length; i++)
{
BinnedCohorts[i] = new List <Tuple <int[], double> >();
}
foreach (int fg in FishFGs)
{
for (int i = 0; i < c[fg].Count(); i++)
{
//Find the mass bin for this cohort
mb = fishCatch.MassBins.ToList().FindIndex(a => a >= c[fg, i].AdultMass);
if (mb < 0)
{
mb = fishCatch.UnknownMassBinIndex - 1;
}
//Check if the current bodymass is greater than the proportion of the adult mass
if (c[fg, i].IndividualBodyMass >= c[fg, i].AdultMass * AdultMassProportionFished)
{
//Calculate the total biomass of this cohort
double CohortBiomass = (c[fg, i].IndividualBodyMass + c[fg, i].IndividualReproductivePotentialMass) *
c[fg, i].CohortAbundance;
//Add the indices and total biomass to the bins
BinnedCohorts[mb].Add(new Tuple <int[], double>(new int[] { fg, i }, CohortBiomass));
BinnedTotalModelBiomass[mb] += CohortBiomass;
}
}
}
}
public ApplyFishingCatches(InputCatchData fishCatch)
{
BinnedTotalModelBiomass = new double[fishCatch.MassBins.Length];
DefecitCatch = new double[fishCatch.MassBins.Length];
BinnedCohorts = new List<Tuple<int[], double>>[BinnedTotalModelBiomass.Length];
AdultMassProportionFished = 0.5;
}
public ApplyFishingCatches(InputCatchData fishCatch)
{
BinnedTotalModelBiomass = new double[fishCatch.MassBins.Length];
DefecitCatch = new double[fishCatch.MassBins.Length];
BinnedCohorts = new List <Tuple <int[], double> > [BinnedTotalModelBiomass.Length];
AdultMassProportionFished = 0.5;
}