PROGRAM MANAGE
C ***** GLOBAL INPUT PARAMETERS
COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
1 PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
REAL PPROB, PYMAX, PNYSTP, PKSTEP, PDSTEP, PNBSTP, PBMIN, PBMAX,
1 PSCALE, PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE
COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
INTEGER ISTART, IYEAR, NS, NZ
REAL RKLO, RKHI
PARAMETER (MAXYR = 200, MAXEST = 100)
PARAMETER (MSIZE = (MAXEST * (MAXEST + 1) / 2))
REAL CATCH(0:MAXYR), SIGHT(0:MAXEST), FMATRX(0:MSIZE),
1 ZMULT(0:MAXEST), POP(0:MAXYR), G(0:MAXYR), RAWCL, CL
INTEGER ISYR(0:MAXEST), IZYR(0:MAXEST), POUT
C ***** LOCAL VARIABLES
CHARACTER STOCK*30, FORMT*50
INTEGER IY, INITYR, I, IS, IYRCL, ILAST, N, IN, IOUT
C ***** Read in the data required for application of the CLA
DATA IN/2/, IOUT/3/
OPEN (IN, FILE = 'CLC.DAT')
OPEN (IOUT, FILE = 'CLC.OUT')
CALL RDPARS
READ (IN, '(A30/)') STOCK
WRITE (IOUT, '(A30/)') STOCK
WRITE (*, '(A30/)') STOCK
C Read the year of the first catch, the first year for which catch
C limits are to be set & the phaseout option
READ (IN, '(T30,I4)') INITYR
WRITE (IOUT, '(A,T30,I4)') 'Year of first input data', INITYR
WRITE (*, '(A,T30,I4)') 'Year of first input data', INITYR
READ (IN, '(T30,I4)') IYRCL
WRITE (IOUT, '(A, T30, I4)') 'Year of first catch limit', IYRCL
WRITE (*, '(A, T30, I4)') 'Year of first catch limit', IYRCL
READ (IN, '(T30, I4)') POUT
IF (POUT .EQ. 1) THEN
WRITE (IOUT, '(A, T30,A4)') 'Apply phaseout if necessary', 'YES'
WRITE (*, '(A, T30,A4)') 'Apply phaseout if necessary', 'YES'
ELSE
WRITE (IOUT, '(A, T30,A4)') 'Apply phaseout', 'No'
WRITE (*, '(A, T30,A4)') 'Apply phaseout', 'No'
ENDIF
C Re-scale IYRCL such that 0 is the year prior to the first input data
ISTART = 0
IYEAR = IYRCL - INITYR
IF (IYEAR .LE. 0 .OR. IYEAR .GT. MAXYR) STOP 'INVALID YEAR'
C Initialize the catch array
DO 10 I = 0, MAXYR
CATCH(I) = 0
10 CONTINUE
C Read in the catch data, scaling each year to the initial year
READ (IN, '(// A)') FORMT
WRITE (IOUT, '(/A)') 'Historic catches:'
WRITE (*, '(/A)') 'Historic catches:'
TOTALC = 0
DO 20 I = 0, MAXYR
READ (IN, FORMT) IY, C
IF (IY .LT. 0) GO TO 25
WRITE (IOUT, FORMT) IY, C
WRITE (*, FORMT) IY, C
IY = IY - INITYR
IF (IY .LT. 0 .OR. IY .GE. IYEAR) STOP
CATCH(IY) = C
TOTALC = TOTALC + C
20 CONTINUE
25 IF (TOTALC .LT. 0) STOP ' ERROR: No historic catch input'
C Read in the non-zero sightings estimates and information matrix
READ (IN, '(//T30, I4 / A)') NS, FORMT
WRITE (IOUT, '(/A)') 'Abundance estimates:'
WRITE (*, '(/A)') 'Abundance estimates:'
IF (NS .GT. MAXEST) STOP 'ERROR: Abundance year out of range'
DO 30 N=0,NS-1
N1 = (N * (N + 1)) / 2
READ (IN, FORMT) ISYR(N), SIGHT(N), (FMATRX(N1 + J), J = 0, N)
WRITE (IOUT, FORMT) ISYR(N), SIGHT(N),
1 (FMATRX (N1 + J), j = 0, N)
WRITE (*, FORMT) ISYR(N), SIGHT(N),
1 (FMATRX (N1 + J), j = 0, N)
ISYR(N) = ISYR(N) - INITYR
IF (ISYR(N) .LT. 0 .OR. ISYR(N) .GE. IYEAR) STOP
1 'ERROR: Sight year out of range'
IF (SIGHT(N) .LE. 0.0) STOP ' ERROR: Estimate not positive'
30 CONTINUE
C Read in the Poisson multipliers for any zero sightings estimates
READ (IN, '(/T30, I3, /A)') NZ, FORMAT
IF (NZ .GT. 0) THEN
WRITE (IOUT, '(/A)') 'Zero abundance estimates:'
WRITE (*, '(/A)') 'Zero abundance estimates:'
ENDIF
IF (NZ .GT. MAXEST) STOP ' ERROR: Zero estimate array too small'
DO 40 N = 0, NZ - 1
N1 = (N * (N + 1)) / 2
READ (IN, FORMT) IZYR(N), ZMULT(N)
WRITE (IOUT, FORMT) IZYR(N), ZMULT(N)
WRITE (*, FORMT) IZYR(N), ZMULT(N)
IZYR(N) = IZYR(N) - INITYR
IF (IZYR(N) .LT. 0 .OR. IZYR(N) .GE. IYEAR) STOP
1 ' Sight year out of range'
IF (ZMULT(N) .LE. 0.0) STOP ' ERROR: Multiplier not positive'
40 CONTINUE
WRITE (IOUT, '()')
WRITE (*, '()')
C Bound the range for the integration over K
RKHI = 1.E7
RKLO = 0.0
C ******
C ****** Run the CLA to obtain the nominal catch limit
C ******
RAWCL = CLIMIT (CATCH, SIGHT, FMATRX, ISYR, IZYR, ZMULT, POP, G)
C Set the catch limits for PCYCLE years. If the catch limit may be
C subject to phaseout, call POUT to apply the phaseout rule.
C First set ILAST = year of the most recent abundance estimate
IF (NS .GT. 0) ILAST = ISYR(NS - 1)
IF (NZ .GT. 0) ILAST = MAX(IS, IZYR(NZ - 1))
C DO 100 IY = IYEAR, IYEAR + PCYCLE - 1
DO 100 IY = IYEAR, IYEAR + int(PCYCLE) - 1
IF (POUT .EQ. 1) THEN
CALL PHOUT (CL, RAWCL, ILAST, IY)
ELSE
CL = RAWCL
ENDIF
WRITE (IOUT, '(A6, I5, A17, I6)') 'Year:', IY + INITYR,
1 'Catch limit:', NINT(CL)
WRITE (* , '(A6, I5, A17, I6)') 'Year:', IY + INITYR,
1 'Catch limit:', NINT(CL)
100 CONTINUE
STOP
END
C **************************************************************************************
C **************************************************************************************
C
C CLC version 6
C
C **************************************************************************************
C
C 31 January 1994
C
C **************************************************************************************
SUBROUTINE RDPARS
C Read the file of input parameters
COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
1 PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
REAL PPROB, PYMAX, PNYSTP, PKSTEP, PDSTEP, PNBSTP, PBMIN, PBMAX,
1 PSCALE, PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE
DATA IFILE /21/
C
C Open the input file (only read once)
C
OPEN (UNIT = IFILE, FILE = 'CLC.PAR')
C
READ (IFILE, '(T30, F10.0)') PPROB,PYMAX, PNYSTP, PKSTEP, PDSTEP,
1 PBMIN, PBMAX, PNBSTP, PSCALE, PHASET,
1 PHASEP, PCYCLE, PLEVEL, PSLOPE
CLOSE (IFILE)
RETURN
END
C
C
C **************************************************************************************
C **************************************************************************************
C
SUBROUTINE PHOUT (CL, RAWCL, ILAST, IY)
C
COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PBMIN,PBMAX,
1 PNBSTP,PSACLE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
REAL PPROB, YMAX,PNYSTP,PKSTEP,PDSTEP,PBMIN,PBMAX,PNBSTP,PSACLE,
1 PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE
C PHASET Number of years without surveys before phaseout invoked
C PHASEP Phaseout annual reduction proportion
C
REAL CL, RAWCL
INTEGER ILAST, IY
C
C Phaseout: Reduce catch limit if there is no survey data in the
C last PHASET years
IF (IY .GE. ILAST + PHASET) THEN
CL = RAWCL * (1.0 - PHASEP * (IY - ILAST - PHASET))
IF (CL .LT. 0.0) CL = 0.0
ELSE
CL = RAWCL
ENDIF
C
RETURN
END
C ***************************************************************************************
REAL FUNCTION CLIMIT (CATCH,SIGHT,FMATRX,ISYR,IZYR,ZMULT,POP,G)
C Run the CLA to obtain to nominal catch limit
C
PARAMETER (MAXSIM = 600000, MAXSTP = 500)
REAL PRES(0:MAXSIM), QRES(0:MAXSIM), SS0, SS1, SS2, SS3
C
COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
1 PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
REAL PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN, PBMAX,
1 PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
C
COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
INTEGER ISTART, IYEAR, NS, NZ
REAL RKLO, RKHI
C
REAL CATCH(0:*),SIGHT(0:*),FMATRX(0:*),ZMULT(0:*),POP(0:*),G(0:*)
INTEGER ISYR(0:*), IZYR(0:*)
C
C Local variables:
REAL SF, Y(0:MAXSTP), B(0:MAXSTP), RLGB(0:MAXSTP)
INTEGER NB, NR
C NB Number of bias steps
C NR Number of steps for Y (the productivity parameter)
C SF Deviance scale factor (SF = .5 / PSCALE**2)
C
CLIMIT = 0.
IF (NS .LE. 0) RETURN
C
C Set deviance scale factor S = 1/PSCALE**2
SF = 0.5 / (PSCALE * PSCALE)
C
C Check the sizes of the Y and B arrays are large enough
IF (PNBSTP .GT. MAXSTP .OR. PNYSTP .GT. MAXSTP) STOP
1 'Y &/or b array sizes too small'
C Set sightings bias step sizes & their log values. BINC = Bias increment
NB = PNBSTP
BINC = (PBMAX - PBMIN) / NB
DO 10 I = 0, NB - 1
B(I) = PBMIN + (I + 0.5) * BINC
RLGB(I) = -ALOG(B(I))
10 CONTINUE
C
C Set productivity parameter step sizes (midpoints)
NR = PNYSTP
YINC = PYMAX / NR
DO 20 I = 0, NR - 1
Y(I) = (I + 0.5) * YINC
20 CONTINUE
C
PTOT = 0
N = 0
DO 50 I = 0, NR - 1
C Set R from the productivity parameter, Y
R = 1.4184 * Y(I)
C Step size for K
DK = PKSTEP
D = 1.
RK = RKHI
C Use function STKSIM to set up the Nth population trajectory
C i.e. set up the pop array
30 IF (RK .LE. RKLO .OR. STKSIM (RK, R, POP, CATCH) .LE. 0.)
1 GOTO 40
IF (N .GE. MAXSIM) STOP 'ERROR: TOO MANY SIMULATIONS'
C How much depletion covered?
DD = D - POP(IYEAR) / RK
D = POP(IYEAR) / RK
P = 0.0
IF (DD .GT. 0.) THEN
C Compute the internal catch limit corresponding to D and Y(I)
QRES(N) = CONTRL (D, Y(I), PLEVEL, PSLOPE) * POP(IYEAR)
C Calculate deviance
CALL DEVIAN (SS0, SS1, SS2, SS3, SIGHT, FMATRX, ISYR,
1 IZYR, ZMULT, POP, G)
C Scale likelihood and integrate over values for the bias parameter
DO 35 J = 0, NB - 1
P = P + EXP(-SF * (SS0 + RLGB(J) * (SS1 + RLGB(J) * SS2)
1 + SS3 * B(J)))
35 CONTINUE
C Calculate the weight for this point (& total area under likelihood)
PRES(N) = P * DD
PTOT = PTOT + PRES(N)
C Update counter
N = N + 1
C Find the next K
DK = DK * PDSTEP / DD
IF (DK .GT. PKSTEP) DK = PKSTEP
ELSE
C IF DD = 0 change the step size only
DK = PKSTEP
ENDIF
C Set the new value of K
RK = RK / (1. + DK)
GOTO 30
40 CONTINUE
50 CONTINUE
IF (PTOT .LE. 0.) STOP 'ERROR: PROB INTEGRATES TO ZERO'
C Sort the QRES and PRES arrays in ascending order of QRES
N2 = N
CALL SORT (QRES, PRES, N2)
C Normalize the relative likelihoods
DO 60 I = 0, N - 1
PRES(I) = PRES(I) / PTOT
60 CONTINUE
C Extract the desired probability level: the nominal catch limit (NCL)
C is the lower PROB% of the distribution.
C First calculate PRES(I), the probability that the NCL is between
C QRES(I) & QRES(I + 1).
P = 0
DO 70 I = 0, N - 1
P = P + PRES (I)
IF (P .GT. PPROB) GOTO 80
70 CONTINUE
C Interpolate to set the nominal catch limit
80 IF (I .GE. N - 1) THEN
Q = QRES (N - 1)
ELSE
Q = (QRES (I + 1) * (PPROB - P + PRES(I)) + QRES(I) *
1 (P - PPROB)) / PRES(I)
ENDIF
CLIMIT = Q
RETURN
END
C ***********************************************************************************
FUNCTION CONTRL (D, Y, PLEVEL, PSLOPE)
C Catch control law
IF (D .LT. PLEVEL) THEN
CONTRL = 0.
ELSEIF (D .LT. 1.) THEN
CONTRL = PSLOPE * Y * (D - PLEVEL)
ELSE
CONTRL = PSLOPE * Y * (1.0 - PLEVEL)
ENDIF
END
C **********************************************************************************
SUBROUTINE DEVIAN (SS0, SS1, SS2, SS3, SIGHT, FMATRX, ISYR,
1 IZYR, ZMULT, POP, G)
C Calculate deviance (-2 log likelihood) in terms of coefficients for
C the bias and log bias parameters
COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
INTEGER ISTART, IYAER, NS, NZ
REAL RKLO, RKHI
REAL SS0,SS1,SS2,SIGHT(0:*),FMATRX(0:*),ZMULT(0:*),POP(0:*),G(0:*)
INTEGER ISYR(0:*), IZYR(0:*)
SS0 = 0
SS1 = 0
SS2 = 0
SS3 = 0
DO 100 N = 0, NS - 1
G(N) = ALOG (SIGHT(N) / POP(ISYR(N)))
K = N * (N + 1) / 2
DO 10 J = 0, N - 1
C 1st add non diagonal contributions (which are doubled up)
SS0 = SS0 + 2. * G(J) * G(N) * FMATRX(K)
SS1 = SS1 + 2. * (G(J) + G(N)) * FMATRX(K)
SS2 = SS2 + FMATRX(K) + FMATRX(K)
K = K + 1
10 CONTINUE
C Now add diagnoal contribution
SS0 = SS0 + G(N) * G(N) * FMATRX(K)
SS1 = SS1 + 2. * G(N) * FMATRX(K)
SS2 = SS2 + FMATRX(K)
100 CONTINUE
C Now do the zero estimates
DO 200 N = 0, NZ - 1
SS3 = SS3 + 2.0 * POP(IZYR(N)) / ZMULT(N)
200 CONTINUE
RETURN
END
C *********************************************************************************
FUNCTION STKSIM (RK, R, POP, CATCH)
C Calculate the stock trajectory with parameter RK and R: return
C the current stock size
C RK = notional carrying capacity; R = productivity parameter * 1.4184
COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
INTEGER ISTART, IYEAR, NS, NZ
REAL RKLO, RKHI
REAL CATCH(0:*), POP(0:*)
POP(ISTART) = RK
DO 10 I = ISTART + 1, IYEAR
D = POP(I - 1) / RK
POP(I) = POP (I - 1) * (1. + R * (1. - D * D)) - CATCH(I-1)
IF (POP(I) .LE. 0) GOTO 20
10 CONTINUE
STKSIM = POP(IYEAR)
RETURN
20 STKSIM = 0.
END
C *********************************************************************************
SUBROUTINE SORT (ARRAY, ARRAY2, N)
C SORT sorts a pair of arrays in ascending order of the first array
C (using the heapsort algorithm)
REAL ARRAY(0:*), ARRAY2(0:*), TEMP, TEMP2
INTEGER N, K, IR, I, J
IF (N .LT. 2) RETURN
K = N / 2
IR = N - 1
10 IF (K .NE. 0) THEN
K = K - 1
TEMP = ARRAY(K)
TEMP2 = ARRAY2(K)
ELSE
TEMP = ARRAY(IR)
TEMP2 = ARRAY2(IR)
ARRAY(IR) = ARRAY(0)
ARRAY2(IR) = ARRAY2(0)
IR = IR - 1
IF (IR .EQ. 0) THEN
ARRAY(0) = TEMP
ARRAY2(0) = TEMP2
RETURN
ENDIF
ENDIF
I = K
J = K + K + 1
20 IF (J .LE. IR) THEN
IF (J .LT. IR .AND. ARRAY(J) .LT. ARRAY(J + 1)) J = J + 1
IF (TEMP .LT. ARRAY(J)) THEN
ARRAY(I) = ARRAY(J)
ARRAY2(I) = ARRAY2(J)
I = J
J = J + I + 1
ELSE
J = IR + 1
ENDIF
GOTO 20
ENDIF
ARRAY(I) = TEMP
ARRAY2(I) = TEMP2
GOTO 10
END
      PROGRAM MANAGE

C ***** GLOBAL INPUT PARAMETERS

      COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
     1             PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
      REAL PPROB, PYMAX, PNYSTP, PKSTEP, PDSTEP, PNBSTP, PBMIN, PBMAX,
     1	   PSCALE, PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE

      COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
      INTEGER ISTART, IYEAR, NS, NZ
      REAL RKLO, RKHI

      PARAMETER (MAXYR = 200, MAXEST = 100)
      PARAMETER (MSIZE = (MAXEST * (MAXEST + 1) / 2))
      REAL CATCH(0:MAXYR), SIGHT(0:MAXEST), FMATRX(0:MSIZE),
     1     ZMULT(0:MAXEST), POP(0:MAXYR), G(0:MAXYR), RAWCL, CL
      INTEGER ISYR(0:MAXEST), IZYR(0:MAXEST), POUT

C ***** LOCAL VARIABLES

      CHARACTER STOCK*30, FORMT*50
      INTEGER IY, INITYR, I, IS, IYRCL, ILAST, N, IN, IOUT

C ***** Read in the data required for application of the CLA

      DATA IN/2/, IOUT/3/
      OPEN (IN, FILE = 'CLC.DAT')
      OPEN (IOUT, FILE = 'CLC.OUT')

      CALL RDPARS
      READ (IN, '(A30/)') STOCK
      WRITE (IOUT, '(A30/)') STOCK
      WRITE (*,    '(A30/)') STOCK

C 	Read the year of the first catch, the first year for which catch
C	limits are to be set & the phaseout option

      READ (IN, '(T30,I4)') INITYR
      WRITE (IOUT, '(A,T30,I4)') 'Year of first input data', INITYR
      WRITE (*,    '(A,T30,I4)') 'Year of first input data', INITYR
      READ (IN, '(T30,I4)') IYRCL
      WRITE (IOUT, '(A, T30, I4)') 'Year of first catch limit', IYRCL
      WRITE (*,    '(A, T30, I4)') 'Year of first catch limit', IYRCL
      READ (IN, '(T30, I4)') POUT
      IF (POUT .EQ. 1) THEN
        WRITE (IOUT, '(A, T30,A4)') 'Apply phaseout if necessary', 'YES'
        WRITE (*,    '(A, T30,A4)') 'Apply phaseout if necessary', 'YES'
      ELSE
        WRITE (IOUT, '(A, T30,A4)') 'Apply phaseout', 'No'
        WRITE (*,    '(A, T30,A4)') 'Apply phaseout', 'No'
      ENDIF

C	Re-scale IYRCL such that 0 is the year prior to the first input data

      ISTART = 0
      IYEAR = IYRCL - INITYR
      IF (IYEAR .LE. 0 .OR. IYEAR .GT. MAXYR) STOP 'INVALID YEAR'

C	Initialize the catch array

      DO 10 I = 0, MAXYR
        CATCH(I) = 0
 10   CONTINUE

C	Read in the catch data, scaling each year to the initial year

      READ (IN, '(// A)') FORMT
      WRITE (IOUT, '(/A)') 'Historic catches:'
      WRITE (*,    '(/A)') 'Historic catches:'
      TOTALC = 0
      DO 20 I = 0, MAXYR
        READ (IN, FORMT) IY, C 
        IF (IY .LT. 0) GO TO 25
        WRITE (IOUT, FORMT) IY, C
        WRITE (*,    FORMT) IY, C
        IY = IY - INITYR
        IF (IY .LT. 0 .OR. IY .GE. IYEAR) STOP 
        CATCH(IY) = C
        TOTALC = TOTALC + C
 20   CONTINUE

 25   IF (TOTALC .LT. 0) STOP ' ERROR: No historic catch input'

C	Read in the non-zero sightings estimates and information matrix

      READ (IN, '(//T30, I4 / A)') NS, FORMT
      WRITE (IOUT, '(/A)') 'Abundance estimates:'
      WRITE (*,    '(/A)') 'Abundance estimates:'
      IF (NS .GT. MAXEST) STOP 'ERROR: Abundance year out of range'
      DO 30 N=0,NS-1
        N1 = (N * (N + 1)) / 2
        READ (IN, FORMT) ISYR(N), SIGHT(N), (FMATRX(N1 + J), J = 0, N)
        WRITE (IOUT, FORMT) ISYR(N), SIGHT(N), 
     1                           (FMATRX (N1 + J), j = 0, N)
        WRITE (*,    FORMT) ISYR(N), SIGHT(N),
     1                           (FMATRX (N1 + J), j = 0, N)
        ISYR(N) = ISYR(N) - INITYR
        IF (ISYR(N) .LT. 0 .OR. ISYR(N) .GE. IYEAR) STOP 
     1                         'ERROR: Sight year out of range'
        IF (SIGHT(N) .LE. 0.0) STOP ' ERROR: Estimate not positive'
 30   CONTINUE

C	Read in the Poisson multipliers for any zero sightings estimates

      READ (IN, '(/T30, I3, /A)') NZ, FORMAT
      IF (NZ .GT. 0) THEN
        WRITE (IOUT, '(/A)') 'Zero abundance estimates:'
        WRITE (*,    '(/A)') 'Zero abundance estimates:'
      ENDIF
      IF (NZ .GT. MAXEST) STOP ' ERROR: Zero estimate array too small'
      DO 40 N = 0, NZ - 1
        N1 = (N * (N + 1)) / 2
        READ (IN, FORMT) IZYR(N), ZMULT(N)
        WRITE (IOUT, FORMT) IZYR(N), ZMULT(N)
        WRITE (*,    FORMT) IZYR(N), ZMULT(N)
        IZYR(N) = IZYR(N) - INITYR
        IF (IZYR(N) .LT. 0 .OR. IZYR(N) .GE. IYEAR) STOP 
     1                                    ' Sight year out of range'
        IF (ZMULT(N) .LE. 0.0) STOP ' ERROR: Multiplier not positive'
 40   CONTINUE
      WRITE (IOUT, '()')
      WRITE (*,    '()')

C	Bound the range for the integration over K

      RKHI = 1.E7
      RKLO = 0.0

C ******
C ****** Run the CLA to obtain the nominal catch limit
C ******

      RAWCL = CLIMIT (CATCH, SIGHT, FMATRX, ISYR, IZYR, ZMULT, POP, G)
C	Set the catch limits for PCYCLE years. If the catch limit may be
C	subject to phaseout, call POUT to apply the phaseout rule.

C	First set ILAST = year of the most recent abundance estimate

      IF (NS .GT. 0) ILAST = ISYR(NS - 1)
      IF (NZ .GT. 0) ILAST = MAX(IS, IZYR(NZ - 1))

C     DO 100 IY = IYEAR, IYEAR + PCYCLE - 1
      DO 100 IY = IYEAR, IYEAR + int(PCYCLE) - 1
        IF (POUT .EQ. 1) THEN
          CALL PHOUT (CL, RAWCL, ILAST, IY)
        ELSE
          CL = RAWCL
        ENDIF
        WRITE (IOUT, '(A6, I5, A17, I6)') 'Year:', IY + INITYR,
     1                                         'Catch limit:', NINT(CL)
        WRITE (*   , '(A6, I5, A17, I6)') 'Year:', IY + INITYR,
     1                                         'Catch limit:', NINT(CL)
 100  CONTINUE

      STOP
      END

C **************************************************************************************
C **************************************************************************************
C
C	CLC version 6
C
C **************************************************************************************
C
C	31 January 1994
C
C **************************************************************************************

      SUBROUTINE RDPARS

C	Read the file of input parameters

      COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
     1		     PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
      REAL PPROB, PYMAX, PNYSTP, PKSTEP, PDSTEP, PNBSTP, PBMIN, PBMAX,
     1		PSCALE, PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE
      DATA IFILE /21/
C
C	Open the input file (only read once)
C
      OPEN (UNIT = IFILE, FILE = 'CLC.PAR')
C
      READ (IFILE, '(T30, F10.0)') PPROB,PYMAX, PNYSTP, PKSTEP, PDSTEP,
     1			     PBMIN,  PBMAX,  PNBSTP, PSCALE, PHASET,
     1			     PHASEP, PCYCLE, PLEVEL, PSLOPE
      CLOSE (IFILE)
      RETURN
      END
C
C
C **************************************************************************************
C **************************************************************************************
C
      SUBROUTINE PHOUT (CL, RAWCL, ILAST, IY)
C
      COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PBMIN,PBMAX,
     1	     PNBSTP,PSACLE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
      REAL PPROB, YMAX,PNYSTP,PKSTEP,PDSTEP,PBMIN,PBMAX,PNBSTP,PSACLE,
     1     PHASET, PHASEP, PCYCLE, PLEVEL, PSLOPE
C	PHASET Number of years without surveys before phaseout invoked
C	PHASEP Phaseout annual reduction proportion
C
      REAL CL, RAWCL
      INTEGER ILAST, IY
C
C	Phaseout: Reduce catch limit if there is no survey data in the
C	last PHASET years
      IF (IY .GE. ILAST + PHASET) THEN
        CL = RAWCL * (1.0 - PHASEP * (IY - ILAST - PHASET))
        IF (CL .LT. 0.0) CL = 0.0
      ELSE
        CL = RAWCL
      ENDIF
C
      RETURN
      END

C ***************************************************************************************

      REAL FUNCTION CLIMIT (CATCH,SIGHT,FMATRX,ISYR,IZYR,ZMULT,POP,G)

C	Run the CLA to obtain to nominal catch limit
C
      PARAMETER (MAXSIM = 600000, MAXSTP = 500)
      REAL PRES(0:MAXSIM), QRES(0:MAXSIM), SS0, SS1, SS2, SS3
C
      COMMON /MANPAR/ PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN,
     1	         PBMAX,PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
	REAL PPROB,PYMAX,PNYSTP,PKSTEP,PDSTEP,PNBSTP,PBMIN, PBMAX,
     1		  PSCALE,PHASET,PHASEP,PCYCLE,PLEVEL,PSLOPE
C
      COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
      INTEGER ISTART, IYEAR, NS, NZ
      REAL    RKLO, RKHI
C
      REAL CATCH(0:*),SIGHT(0:*),FMATRX(0:*),ZMULT(0:*),POP(0:*),G(0:*)
      INTEGER ISYR(0:*), IZYR(0:*)
C
C	Local variables:

      REAL SF, Y(0:MAXSTP), B(0:MAXSTP), RLGB(0:MAXSTP)
      INTEGER NB, NR

C	NB	Number of bias steps
C	NR	Number of steps for Y (the productivity parameter)
C	SF	Deviance scale factor (SF = .5 / PSCALE**2)
C
      CLIMIT = 0.
      IF (NS .LE. 0) RETURN
C
C	Set deviance scale factor S = 1/PSCALE**2
      SF = 0.5 / (PSCALE * PSCALE)
C
C	Check the sizes of the Y and B arrays are large enough
      IF (PNBSTP .GT. MAXSTP .OR. PNYSTP .GT. MAXSTP) STOP
     1                             'Y &/or b array sizes too small'

C	Set sightings bias step sizes & their log values. BINC = Bias increment
      NB = PNBSTP
      BINC = (PBMAX - PBMIN) / NB
      DO 10 I = 0, NB - 1
        B(I) = PBMIN + (I + 0.5) * BINC
        RLGB(I) = -ALOG(B(I))
 10   CONTINUE
C
C	Set productivity parameter step sizes (midpoints)
      NR = PNYSTP
      YINC = PYMAX / NR
      DO 20 I = 0, NR - 1
        Y(I) = (I + 0.5) * YINC
 20   CONTINUE
C

      PTOT = 0
      N = 0
      DO 50 I = 0, NR - 1

C	  Set R from the productivity parameter, Y
        R = 1.4184 * Y(I)

C	  Step size for K
        DK = PKSTEP
        D = 1.
        RK = RKHI

C	  Use function STKSIM to set up the Nth population trajectory
C	  i.e. set up the pop array
 30     IF (RK .LE. RKLO .OR. STKSIM (RK, R, POP, CATCH) .LE. 0.)
     1                                                     GOTO 40
	  IF (N .GE. MAXSIM) STOP 'ERROR: TOO MANY SIMULATIONS'

C	    How much depletion covered?
          DD = D - POP(IYEAR) / RK
          D = POP(IYEAR) / RK
          P = 0.0

          IF (DD .GT. 0.) THEN

C	      Compute the internal catch limit corresponding to D and Y(I)
            QRES(N) = CONTRL (D, Y(I), PLEVEL, PSLOPE) * POP(IYEAR)

C	      Calculate deviance
            CALL DEVIAN (SS0, SS1, SS2, SS3, SIGHT, FMATRX, ISYR,
     1                                            IZYR, ZMULT, POP, G)

C	      Scale likelihood and integrate over values for the bias parameter
            DO 35 J = 0, NB - 1
              P = P + EXP(-SF * (SS0 + RLGB(J) * (SS1 + RLGB(J) * SS2)
     1                                              + SS3 * B(J)))

 35         CONTINUE


C	      Calculate the weight for this point (& total area under likelihood)
            PRES(N) = P * DD
            PTOT = PTOT + PRES(N)

C	      Update counter
            N = N + 1

C	      Find the next K
            DK = DK * PDSTEP / DD
            IF (DK .GT. PKSTEP) DK = PKSTEP

            ELSE
C	    IF DD = 0 change the step size only 
              DK = PKSTEP
            ENDIF

C	    Set the new value of K
          RK = RK / (1. + DK)

        GOTO 30
 40     CONTINUE
 50   CONTINUE


      IF (PTOT .LE. 0.) STOP 'ERROR: PROB INTEGRATES TO ZERO'

C	Sort the QRES and PRES arrays in ascending order of QRES
      N2 = N
      CALL SORT (QRES, PRES, N2)

C	Normalize the relative likelihoods
      DO 60 I = 0, N - 1
        PRES(I) = PRES(I) / PTOT
 60   CONTINUE

C	Extract the desired probability level: the nominal catch limit (NCL)
C	is the lower PROB% of the distribution.
C	First calculate PRES(I), the probability that the NCL is between
C	   QRES(I) & QRES(I + 1).
      P = 0
      DO 70 I = 0, N - 1
        P = P + PRES (I)
        IF (P .GT. PPROB) GOTO 80
 70   CONTINUE

C	Interpolate to set the nominal catch limit
 80   IF (I .GE. N - 1) THEN
        Q = QRES (N - 1)
      ELSE
        Q = (QRES (I + 1) * (PPROB - P + PRES(I)) + QRES(I) *
     1                                    (P - PPROB)) / PRES(I)
      ENDIF

      CLIMIT = Q

      RETURN
      END

C ***********************************************************************************

      FUNCTION CONTRL (D, Y, PLEVEL, PSLOPE)

C	Catch control law

      IF (D .LT. PLEVEL) THEN
        CONTRL = 0.
      ELSEIF (D .LT. 1.) THEN
        CONTRL = PSLOPE * Y * (D - PLEVEL)
      ELSE
        CONTRL = PSLOPE * Y * (1.0 - PLEVEL)
      ENDIF

      END

C **********************************************************************************

      SUBROUTINE DEVIAN (SS0, SS1, SS2, SS3, SIGHT, FMATRX, ISYR,
     1                                         IZYR, ZMULT, POP, G)

C	Calculate deviance (-2 log likelihood) in terms of coefficients for 
C	the bias and log bias parameters

      COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
      INTEGER ISTART, IYAER, NS, NZ
      REAL    RKLO, RKHI

      REAL SS0,SS1,SS2,SIGHT(0:*),FMATRX(0:*),ZMULT(0:*),POP(0:*),G(0:*)
      INTEGER ISYR(0:*), IZYR(0:*)

      SS0 = 0
      SS1 = 0
      SS2 = 0
      SS3 = 0

      DO 100 N = 0, NS - 1

        G(N) = ALOG (SIGHT(N) / POP(ISYR(N)))
        K = N * (N + 1) / 2
        DO 10 J = 0, N - 1
C	    1st add non diagonal contributions (which are doubled up)
          SS0 = SS0 + 2. * G(J) * G(N) * FMATRX(K)
          SS1 = SS1 + 2. * (G(J) + G(N)) * FMATRX(K)
          SS2 = SS2 + FMATRX(K) + FMATRX(K)
          K = K + 1
 10     CONTINUE
C	  Now add diagnoal contribution
        SS0 = SS0 + G(N) * G(N) * FMATRX(K)
        SS1 = SS1 + 2. * G(N) * FMATRX(K)
        SS2 = SS2 + FMATRX(K)
 100  CONTINUE

C	Now do the zero estimates
      DO 200 N = 0, NZ - 1
        SS3 = SS3 + 2.0 * POP(IZYR(N)) / ZMULT(N)
 200  CONTINUE

      RETURN
      END

C *********************************************************************************

      FUNCTION STKSIM (RK, R, POP, CATCH)

C	Calculate the stock trajectory with parameter RK and R: return
C	the current stock size
C	RK = notional carrying capacity; R = productivity parameter * 1.4184

      COMMON /MANDAT/ ISTART, IYEAR, NS, NZ, RKLO, RKHI
      INTEGER ISTART, IYEAR, NS, NZ
      REAL    RKLO, RKHI

      REAL CATCH(0:*), POP(0:*)

      POP(ISTART) = RK
      DO 10 I = ISTART + 1, IYEAR
        D = POP(I - 1) / RK
        POP(I) = POP (I - 1) * (1. + R * (1. - D * D)) - CATCH(I-1)
        IF (POP(I) .LE. 0) GOTO 20
 10   CONTINUE
      STKSIM = POP(IYEAR)
      RETURN

 20   STKSIM = 0.

      END

C *********************************************************************************

      SUBROUTINE SORT (ARRAY, ARRAY2, N)

C	SORT sorts a pair of arrays in ascending order of the first array
C	(using the heapsort algorithm)

      REAL ARRAY(0:*), ARRAY2(0:*), TEMP, TEMP2
      INTEGER N, K, IR, I, J
      IF (N .LT. 2) RETURN
      K = N / 2
      IR = N - 1
 10   IF (K .NE. 0) THEN
        K = K - 1
        TEMP = ARRAY(K)
        TEMP2 = ARRAY2(K)
      ELSE
	TEMP = ARRAY(IR)
	TEMP2 = ARRAY2(IR)
        ARRAY(IR) = ARRAY(0)
        ARRAY2(IR) = ARRAY2(0)
        IR = IR - 1
        IF (IR .EQ. 0) THEN
          ARRAY(0) = TEMP
          ARRAY2(0) = TEMP2
          RETURN
        ENDIF
      ENDIF
      I = K
      J = K + K + 1
 20   IF (J .LE. IR) THEN
        IF (J .LT. IR .AND. ARRAY(J) .LT. ARRAY(J + 1)) J = J + 1
        IF (TEMP .LT. ARRAY(J)) THEN
          ARRAY(I) = ARRAY(J)
          ARRAY2(I) = ARRAY2(J)
          I = J
          J = J + I + 1
        ELSE
          J = IR + 1
        ENDIF
        GOTO 20
      ENDIF
      ARRAY(I) = TEMP
      ARRAY2(I) = TEMP2
      GOTO 10

      END