13.5. Qu estions and Tasks
283
Gill_net_a llowance = GRAPH(I deal_h ap_c ommun i ty(hap_ standing_stoc k / hap_ K) )
(- 0 . 5 ,0 .0 01), "(- 0 . 429 , 0 . 00125 ) , ( - 0 .3 57,0 .0 022 5), (0 . 286, 0 .00 375) , (-0 .214, 0 .00 5 ), (-0.143, 0. 0065) , ( -
0.071 4, 0 .0 08 7 5) , (-1.4 ge -08, 0 . 0118), ( 0 .0714 ,
0 . 01 68 ), (0 . 143, 0 .02 53) , (0.21 4 , 0 . 035), (0 .28 6 ,
0.040 8) , (0 .3 57 , 0 .0425) , (0 . 429, 0. 043 5 ) , (0. 5, 0. 044 )
Seine_a llowan ce = GRAPH( I de a l _h a p_commun i ty(hap_standing_stock /hap_K) )
(-1.00,0.00), (-0.917 ,0.0 01) , (-0. 83 3,0. 001) , (0.75,0 .001 ) , ( - 0 . 667, 0 .00 2) , (-0.5 83 ,0.00 2 ), (- 0 . 5 ,
0.002), (-0.417 , 0 .002) , (-0 . 333, 0 .0 02 ), (- 0 . 25 ,
0.003), (-0. 167, 0. 004 ) , (- 0. 0833,0. 005), ( - 7 . 45e- 08 ,
0.006), (0.083 3 , 0.007 ) , (0.167, 0.009) , (0 .25 , 0.01 ),
(0.333, 0 .01), (0 .417, 0.01), (0.5 , 0.01) , (0 .5 83,
0 .01) , (0 .667 ,0.01 ) , (0 . 7 5 , 0 . 01 ) , (0 .833,0.01),
(0.917, 0 .01), (1 , 0 .01)
Life Histories
cannibalized(t) = c a nn i b a l iz ed (t-d t) + (canned) * dt
INIT c a nn i b a l i zed = 0
INFLOWS :
c a nned = ARRAYSUM (Nat_rnort_rnass [ *] )
NP_rnass[l] (t) = NP_rna s s[l ] (t - d t) + (Gr owth[ l] -
NP_rnortality [l ]-Reproduc tion [l ] ) * dt
I NIT NP_rna s s[l ] = 10 0000 0
NP_rnass[ 2] (t) = NP_rnass[ 2] (t-dt ) + (Gr owth [2]NP_rnortality[ 2] -Reproduction[ 2]) * dt
INIT NP_rnass[ 2] = 0
NP_rnass[3] (t) = NP_rnass[ 3] (t-dt) + (Growth[ 3]NP_rnortality[3]-Reproduction[3]) * dt
INIT NP_rnass[3] = 0
NP_rnass[4j (t) = NP_rnas s[4] (t-dt) + (Growth[4]NP_rnortality[4]-Reproduction[4] ) * dt
INIT NP_rna s s [4 ] = 0
NP_rnass[5] (t) = NP_rnass[5] (t - d t ) + (Gr owth[5]NP_rnortal ity[5]-Reproduc tion [5]) * dt
I NIT NP_rna s s [5] = 0
283
Gill_net_a llowance = GRAPH(I deal_h ap_c ommun i ty(hap_ standing_stoc k / hap_ K) )
(- 0 . 5 ,0 .0 01), "(- 0 . 429 , 0 . 00125 ) , ( - 0 .3 57,0 .0 022 5), (0 . 286, 0 .00 375) , (-0 .214, 0 .00 5 ), (-0.143, 0. 0065) , ( -
0.071 4, 0 .0 08 7 5) , (-1.4 ge -08, 0 . 0118), ( 0 .0714 ,
0 . 01 68 ), (0 . 143, 0 .02 53) , (0.21 4 , 0 . 035), (0 .28 6 ,
0.040 8) , (0 .3 57 , 0 .0425) , (0 . 429, 0. 043 5 ) , (0. 5, 0. 044 )
Seine_a llowan ce = GRAPH( I de a l _h a p_commun i ty(hap_standing_stock /hap_K) )
(-1.00,0.00), (-0.917 ,0.0 01) , (-0. 83 3,0. 001) , (0.75,0 .001 ) , ( - 0 . 667, 0 .00 2) , (-0.5 83 ,0.00 2 ), (- 0 . 5 ,
0.002), (-0.417 , 0 .002) , (-0 . 333, 0 .0 02 ), (- 0 . 25 ,
0.003), (-0. 167, 0. 004 ) , (- 0. 0833,0. 005), ( - 7 . 45e- 08 ,
0.006), (0.083 3 , 0.007 ) , (0.167, 0.009) , (0 .25 , 0.01 ),
(0.333, 0 .01), (0 .417, 0.01), (0.5 , 0.01) , (0 .5 83,
0 .01) , (0 .667 ,0.01 ) , (0 . 7 5 , 0 . 01 ) , (0 .833,0.01),
(0.917, 0 .01), (1 , 0 .01)
Life Histories
cannibalized(t) = c a nn i b a l iz ed (t-d t) + (canned) * dt
INIT c a nn i b a l i zed = 0
INFLOWS :
c a nned = ARRAYSUM (Nat_rnort_rnass [ *] )
NP_rnass[l] (t) = NP_rna s s[l ] (t - d t) + (Gr owth[ l] -
NP_rnortality [l ]-Reproduc tion [l ] ) * dt
I NIT NP_rna s s[l ] = 10 0000 0
NP_rnass[ 2] (t) = NP_rnass[ 2] (t-dt ) + (Gr owth [2]NP_rnortality[ 2] -Reproduction[ 2]) * dt
INIT NP_rnass[ 2] = 0
NP_rnass[3] (t) = NP_rnass[ 3] (t-dt) + (Growth[ 3]NP_rnortality[3]-Reproduction[3]) * dt
INIT NP_rnass[3] = 0
NP_rnass[4j (t) = NP_rnas s[4] (t-dt) + (Growth[4]NP_rnortality[4]-Reproduction[4] ) * dt
INIT NP_rna s s [4 ] = 0
NP_rnass[5] (t) = NP_rnass[5] (t - d t ) + (Gr owth[5]NP_rnortal ity[5]-Reproduc tion [5]) * dt
I NIT NP_rna s s [5] = 0
