Status of the tiger tooth croaker, Otolithes ruber (Schneider, 1801) and jinga shrimp, Metapenaeus affinis(H. Milne Edwards, 1837) stocks in Khouzestan coastal waters

Item Type monograph

Authors Eskandari, Gholamreza; Hashemi, S.A.; Taghavi motlagh, A.; Dehghan madiseh, S.; Mayahi, Y.; Albuobaid, S.

Publisher Iranian Fisheries Science Research Institute

Download date 07/10/2021 17:26:24

Link to Item http://hdl.handle.net/1834/39797

–

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/// / 18181818

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/// / 34343434

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12:

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1vonBertalanffy 2Least squaers 434343 /...

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22:

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2117

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42:

b Wi = aL i

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/// / 44444444

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352

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72:

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1 2352

. (Sparre & Venema, 1998)

82:

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= K

( ) 2 452

. (Sparre & Venema, 1998)

92:

, ¢ = log (K) + 2 log (L inf )

1 Age at first maturity (t m) 2Growth performance index

/// / 46464646

= K

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1 552

(. Gayanilo et al., 2002 )

102:

tmax = t 0 + 3/K

= tmax

= t0

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2 652

(. Gayanilo et al., 2002 )

112:

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1 Maximum age (t max ) 2 Optimum length (t opt ) 474747 /...

1 752

. % 50 L50 % L c

: (Allam, 2003)

122:

Lc = L mean – K(L inf – Lmean )/ Z

= Lc

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= K

= Linf

= Z

2 852

: (Sparre & Venema, 1998)

132:

tc = -1/k*log 10 (L inf – Lc/ L inf ) + t 0

1Length at first catch (Lc) 2Age at first catch (tc)

/// / 48484848

1 952

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1052 1

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142: ln(M) = -0.0152 -0.279 ln(Linf ) +0.6543ln(K) +0.463ln(T)

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1Length and age at first recruitment (Lr , tr) 494949 /...

24 12

.

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152:

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1052 23

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162:

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1152

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172:

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261

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182:

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262

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192:

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1362

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202:

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212:

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222:

–z i,t N i+1,t+1 = N i,t e

t i = C i,t

t i = F i,t 535353 /...

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/// / 54545454

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242:

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/// / 56565656

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1Selection pattern (S) 575757 /...

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262: ⁄ ∞ .

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( M)

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/// / 58585858

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292:

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1Biological precautionary reference points

/// / 60606060

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302:

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322:

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1Biomass of prey counsumed daily 2Food consumption per unit population biomass (Q/B)

/// / 62626262

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2400 2200 2000 1800 1600 1400

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3500 3000 2500 2000 1500

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223

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/// / 68686868

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1500

1000 () 500

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0 10 20 30 40 50 60 70

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()

1386 1387 73:

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()

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( )

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( )

1200000 … 1000000 … 800000 600000

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.

1433

.( 17 3 ) 87

. 95 12000 10000 8000 (VPA )

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/// / 80808080

2433

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1/01 .

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3433

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1381 1390

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. 16 23

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213.( ) 1381 1387

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1 20

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10

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1381 1389 .

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8433

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243.( ) 1381 1387 70000 12000

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1381 1382 1383 1384 1385 1386 1387 1388 1389 1390

243: 1381 1390

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20000 10000 3 10 0 0 ( *) 3 10

( 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 253: (1381 1390 ) 858585 /...

10433

1381 1387

263.( ) 20000 50000 40000 15000 30000 10000 20000 5000

10000 ) ( 0 0 ) ( 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 263: 1381 1390

11433

27 ) 1381 1387

3.(

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( 0.200 ) 0 0.000 ( 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 273: 1381 1390

/// / 86868686

12433

.( 283 ) 1381 1387

. 90 89 85 82 81

14000 SSB SSBloss 12000 SSBloss SSBpa 10000 SSBmaxpa 8000 6000

4000 )

( 2000 0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390

1381 1390 283:

16 23

293.( )

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1389 ( 0 1390 1 2 3 4 5 6 ( ) 293: 1381 1390

878787 /...

13433

1389 40 20

654 303(. )

313.( ) 1 45 40 35 30 25 20 SPR Femal 15 ( ( (20%SPR ( 10 5 (40 %SPR ( 0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1381 1390 303:

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40 1 35 2 30 3 25 20 4 15 5 10 6 5 (20%SPR ( 0 (40 %SPR ( 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390

313: 1381 1390

/// / 88888888

14433

.

.

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30000 50000

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15433

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333.( ) 1 3

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10

1389 1381

343.( ) 20 40

50 SSB /RRR SSB /RRR(female ) 40 SSB 20 % 30 SSB 40%

20

(%) 10

0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 343: 1381 1390

16433

.( 353 ) 88/0

0.5 0.567 x + 0.367 y = ² R 0.4 0.882 = 0.3 0.2 kg)

0.1( 0

0.00 0.20 0.40 0.60 0.80 1.00 ( ) 353: 1381 1390

/// / 90909090

17433

1 1389 5 4

1390 1389

363.( )

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0.5 1 3 8 0 2 1 2 3 4 5 6 ( ) 1381 1390 363:

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70 1382 60 1383 50 1384 40 30 1385 20 1386 10 1387

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50

40

30

20 10 (%) 0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390

1381 1390 383:

19433

393.( ) 98/0 60 10.5 x + 39.66 y = 50 0.977 = ²R 40 30 20 10 0

0 0.2 0.4 0.6 0.8 1 1.2

393:

1381 1390

/// / 92929292

20433

403.( ) 11/0 40000 11559 x + 15212 y = 0.114 = ²R 30000 20000 10000 0 0.00 0.50 1.00 403:

1381 1390

21433

•

413.( )

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. 1

R = /1 297 SS + 324 7/ 939393 /...

40000 324.7 x 1.296 y = 35000 0.95 = ²R 30000 25000 20000 15000

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( 0

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•

.

423.( )

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1390 1392 1394 1396 1398 1400 1402 1404 423: 1390 1405 56/0

•

.

433.( )

/// / 94949494

30000.0 0.50 25000.0 FFF 0.65 20000.0 FFF 0.75 15000.0 FFF 1.00 10000.0 FFF ) 1.25

5000.0 ( FFF 0.0

1390 1392 1394 1396 1398 1400 1402 1404 433: 1390 1405 56/0

•

443.( )

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0.0

1390 1392 1394 1396 1398 1400 1402 1404 443: 1388 1403 56/0

959595 /...

•

453.( )

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4,000 FFF0.65

FFF0.75 3,000 FFF1.00

2,000

) FFF1.25 ( FFF1.50 1,000

0

1390 1392 1394 1396 1398 1400 1402 1404 453: 1390 1405 56/0

22433

10

53

.

/// / 96969696

1381 1390 53: -1 F10% (year ) 0/42 F (year -1) 0/4 msy F (year -1) 0/52 50% F (year -1) 0/4 loss F (year -1) 0/20 0/24 pa F (year -1) 0/3 opt SSB (ton) 4110 loss SSB (ton) 5713 6740 pa

1388

.( 463 ) 10 1381

Fcurent 1 (10 %Flow (

0.8 (50 %Fmed (

Fopt 0.6 Fpa 0.4 ) 0.2 ( 0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 463:

1381 1390 979797 /...

533

473.( ) .

250 800 700 200 600 150 500 400 100 300 50 200 100

0 0 ) ) ( (

1388 473:

(M= 56/0 , tc= 46/1 )

FMSY 45/06/0 F0.1 8/08/1 Fmax

63.( ) 67/0 5/0

/// / 98989898

63: 1388 F msy F 0.1 F max 0/5 0/45 0/8 0/5 0/5 0/56 0/5 1 0/44 0/56 46/1 0/62 0/56 1/2 0/38 0/62 0/51 0/46 1 0/5 0/5 0/58 0/52 1/2 0/44 0/56 55/1 0/65 0/58 1/4 0/38 0/62 0/59 0/53 1/4 0/5 0/5 0/67 0/6 1/8 0/44 0/56 95/1 0/75 0/67 2/4 0/38 0/62

5/0 .

503(. 493 483 )

.

250 tctctc =1.46 cmcmcm 200

150 0.50 100 0.56 50 0.62 0 ) (

( ) 483: 1388 tc = 46/1 999999 /...

300 tctctc =1.55 cmcmcm 250 200 150 0.50 100 0.56 50 0.62

0 ) (

( ) 493: 1388 tc = 55/1

300 tctctc =1.95 cmcmcm 250 200 150 0.50 100 0.56

50 0.62 0 ) (

( ) 503: 1388 tc = 95/1

. 513

.

/// / 100100100

2

. 95/1

250

200 1.46 150 1.55

100 1.95

50 ) 0 ( 0.00 0.200.400.600.801.001.201.401.601.802.002.202.402.602.803.00

513: 1388

.

. 73 73: tc M Fcur Fmax Y/R increase% F increase% 0/5 227 /6 237 /4 4/3 60 46/1 0/56 195 /2 217 11 /2 127 0/62 164 /3 200 /7 22 /15 215 /78 0/5 229 /7 241 /8 5/26 100 55/1 0/56 195 /9 221 /1 12 /86 172 /72 0/62 164 204 /4 24 /63 268 /42 0/5 234 /1 259 /8 10 /97 180 95/1 0/56 195 236 /5 21 /28 309 0/62 159 /3 217 /3 36 /41 531 /58

101101101 /...

523(. )

800 1.46

600 1.55

) 400 1.95 ( 200

0

0.20 0.40 0.60 0.80 1.00 1.20 1.40 1.60 1.80 2.00 2.20 2.40 2.60 2.80 3.00

523: 1388

5/0

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55.( 54 53 3 )

300.00

250.00

200.00

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0.60 0.50 1.20 1.80 2.40 3.00

533: 1388 5/0

/// / 102102102

250.00

200.00

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100.00

50.00 4.50 0.00 () 0.00

0.60 0.50 1.20 1.80 2.40 3.00

543: 1388 56/0

250.00

200.00

MMM=0.62 150.00

100.00

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0.60 0.50 1.20 1.80 2.40 3.00 553: 1388 62/0

58.( 57 56 3 ) 5/2 103103103 /...

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800

600 MMM=0.5 400

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563: 1388 5/0

800

600

400 MMM=0.56

200

() 5.00 0

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573: 1388 56/0

/// / 104104104

700

600

500

400 300 MMM=0.62 200

() 100 4.50 0

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583: 1388 62/0

43

143

. 7/25 01/0 /0 007

1389 . 1/6

593.( ) 6

5

4

3

2 (Q/(B Shrimp 1 (Q/( B com 0

1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1381 1390 593: 105105105 /...

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/// / 106106106

243

6 1 1390 1388

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0

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1500 ) ( 1000 500 0

1 2 3 4 5 6 1388 1390 623: 6 1 633.( ) 107107107 /...

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23 1

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30 1388 25 1389 20 1390 15

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1381 1383 1385 1387 1389 1381 1390 663:

1389 .

673.( ) 1383 109109109 /...

50 40 30 20 10 0 1381 1382 1383 1384 1385 1386 1387 1388 1389 1390 1381 1390 673:

683.( )

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3000

2000 ) ( 1000

0

0 5000 10000 15000 20000

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/// / 110110110

:

14

.

.

.

. (Campana, 2001)

.

.

2005 Brash & Fenness

.

. (Grandcourt et al., 2005)

(Grandcourt

. et al., 2005)

. (Brash & Fenness, 2005) 1386 1375 )

. 111111111 /...

52 )

62(.

1

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.

)

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. 7

. (Ciloglu, 2005)

6

.

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1

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.

214 .

. 6 302

.

/// / 112112112

(Farmer et al., 2005)

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1

. 2

24

.

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.

. (El-Halfawy et al., 2007)

.

.

. (Brash & Fenness, 2005)

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.

1386 1385 1378 1375 )

. (Almatar, 1993; Brash & Fenness, 2005 1387

(Ahmed et al., (Ciloglu, 2005)

. 2003)

.

) .

. (Ottersen et al., 2010) (

Nakken & Raknes (1987)

3 .

1 . (Loeng, 1989)

(Ingles & Pauly, 1984; . (Klungsoyr et al., 1995)

. Schultz, 1992; Brash & Fennssy, 2005)

.

1Mallotus villosus

/// / 114114114

53 49/ 1 .

Ahmed (2003) .

.

6

.

.

. (Farmer et al., 2005)

43(. )

– 34

–

.

b 2 . (Chang & Liu, 2009)

b . (El-Halfawy et al., 2007)

.( 63 ) 19/3 b .

1Boops boops 2Saurida undosquamis 115115115 /...

. b

3

. 3 .

.

.

44

.

(Chang & Liu, 2009)

. . (Liu et al., 2006)

24 22 40 30

. (Brash & Fennessy 2005 1385 1386 1386 )

1

. 1980

(Zhao & McGovern, .

(Ricker, 1981) 2 (Jorgensen, 1990) 1997)

1Rhomboplites aurorubens 2Oncorhynchus keta

/// / 116116116

1987 Nelson & Soule . (Love & Brooks, 1990) 1

.

) 1990 Jorgensen

(

. .

1997 Zhao

.

–

.

.

( )

.( Zhao & McGovern, 1997)

73( ) 28

35 32 ( 1376 ) .

.

1Paralichthys californicus 117117117 /...

.

.

.

. (Zhao et al., 1997)

. 1980

.( Zhao & McGovern, 1997) 1970

50 .

. ( 59 ) 50 28

75

1 .

. (Farmer et al., 2005) 23 30 2

54

. (Grandcourt et al., 2005)

1Argyrosomus thorpei 2Argyrosomus indorus

/// / 118118118

.

. (Novaluna, 1982 1385 1378 1387 )

.

.

.

. (Liu et al., 2006)

.( 103 ) 56/0

.

.

. (Pauly, 1989)

. . (Ottersen et al., 2010)

.

k 2/05

2 .(Pauly, 1989) 119119119 /...

.

. 31/0 1

. (Kanyerere, 2003)

56/0

. .

.

.(Fredou et al., 2009)

.

1992 Kawasaki

.

. (Liu et al., 2006)

93(. ) ( 5/0) 1388

.

. 5/0

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/// / 120120120

.

1

.

. (Fredou et al., 2009)

.

64

113.( )

.

.

.

.

.

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. (Farmer et al., 2005)

.

74

1992 570 . (Lassen & Medley, 2000)

20012002 490 1989

. (Jaiswar et al., 2003)

5

. 123(. ) 1389

.

59 58

. 3 2

1390 1389 .

.

1381

. 1390

/// / 122122122

.

1384

. 153( )

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2

56

231 163(. )

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84

.

. (Liu et al., 2006)

.

. (Chang & Liu, 2009)

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. Liu, 2009)

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. .

( 28 18 ) ( )5

.

. (Fredou et al., 2009)

. (Liu et al., 2006 )

94

10

.

21(. 20 19 18 3 ) 1386 1387

.

.

/// / 124124124

193( 23) 183( 1)

213( 324) 203( 231)

1 24 1 .

243(. ) 32 42 2

.

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:

2 1

1983 . ( )

.

. 1986

. (Blindheim & Skjoldal, 1993) 125125125 /...

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2 1

.

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.

.

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.

.

. (Klungsoyr et al., 1995)

.

.

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/// / 126126126

)

. 35 (

) 1

(

.

(Groger, et al.,

. 2007)

10 . (Ottersen et al., 2010)

1387 1386

.

.

.

.

. (Klungsoyr et al., 1995)

.

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104

1 43

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. 4356

86 85

. 43 89 87

114

. (Myers et al., 2000)

.

.

.

.

–

.

. (Ciloglu, 2005)

/// / 128128128

. (Ottersen et al., 2010)

413( )

.

.

)

. (Groger et al., 2007) (

.

Saetersdal & .

1987 Loeng

1970 1976 .

1 . 1977 1982

( ) . (Klungsoyr et al., 1995)

. (Ottersen et al., 2010)

.

.

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.

. (Groger et al., 2007)

.

1

o –

. o 2

.

.

. (Beard et al., 2003)

.

124

. (Katsukawa & Matsumiya, 1998)

30 20

1Stizostedion vitreum 2Perca flavescens

/// / 130130130

. Fmsy 40 30 .

20 ( ) . (Liu et al., 2006 )

. 40

303( ) 31 26

2006 Liu .

20

.

.

. (Farmer et al., 2005)

1 .

313(. ) ( 26 )

.

134

. (Kanyerere, 2003)

20 .

.(Katsukawa & Matsumiya, 1998)

131131131 /...

.

.

.

.(Katsukawa & Matsumiya, 1998)

. 1

( 3/0 ) 30

( )

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. (Groger et al., 2007 )

50 25

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. 114 . . 15. Abu-Hakima, R., 1984. Comparison of aspects of the reproductive biology of Pomadasys, Otolithes and Pampus spp. in Kuwaiti waters. Fisheries Research, 2(3), 177-200. 16. Adeyemi, S. O., Bankole, N. O., Adikwu, I. A. and Akombu, P. M., 2009. Age, Growth and Mortality of Some Commercially important fish species in Gbedikere Lake, Kogi State, Nigeria. International Journal of Lakes and Rivers, 2(1), 45-51. 17. Ahmed, K. K. U., Amin, S. M. N., Haldar, G. C. and Dewan, S., 2003. Population Dynamics and Stock Assessment of Catla catla (Hamilton) in the Kaptai Reservoir, Bangladesh. Asian Fisheries Science 16, 121-131. 18. Aldebert, Y. and Recasens, L., 1996. Comparison of methods for stock assessment of European hake Merluccius merluccius in the Gulf of Lions (Northwestern Mediterranean). Aquatic Living Resources, 9, 13-22. 19. Ali, T. S., Mohamed, A. R. M. and Hussain, N., A. 2002. Stock assessment of tiger-tooth croaker Otolithes ruber in the northest Persian Gulf. Marina Mesopotamica, 17(1), 107-120. 20. Allam, S. M., 2003. Growth, mortality and yield per recruit of bogue, Boops boops (L.), From The Egyptian Mediterranean waters off Alexandria. Mediterranean Marine Science, 4(1), 87-96. 21. Almatar, S., 1993. A comparison of length-related and age-related growth parameters of Newaiby Otolithes ruber in Kuwait waters. Naga ICLARM Quarterly, 16(1), 32-34. 22. Amin, S. M. N., Arshad, A., Bujang, J. S. and Siraj, S. S., 2009. Age structure, growth, mortality and yield - per - recrit of sergestid shrimp. Acetes indicus (Decapoda : sergestidae) from the costal water Malacca, Peninsular Malaysia. Journal of Applied Sciences, 9(5), 801-814. 23. Anon. 1997. Report on the status of fisheries of the United States. NMFS, NOAA. , 4p. 24. Apparao, T. 1992. Stock assessment of scianid resources of India. Indian Journal Of Fisheries, 39(1,2), 85- 103. 25. Bachok, Z., Mansor, M. I. and Noordin, R. M., 2004. Diet composition and food habits of demersal and pelagic marine fishes from Terengganu waters, east coast of Peninsular Malaysia. NAGA, WorldFish Center Quarterly 27(3 & 4), 41-47. 26. Bax, N. J., 1998. The significance and prediction of predation in marine fisheries. ICES Journal of Marine Science, 55, 997-1030.

/// / 152152152

27. Beard, J. T. D., Hansen, M. J. and Carpenter, S., 2003. Development of a regional stock–recruitment model for understanding factors affecting walleye recruitment in Northern Wisconsin Lakes. Transactions of the American Fisheries Society 132, 382-391. 28. Berenboim, B. I., Dolgov, A. V., Korzhev, V. A. and Yaragina, N. A., 2000. Impact of cod on dynamics of shrimp stock, Pandalus borealis, in the Barents Sea and the use of this factor in multispecies models,. Northwest Atlantic Fisheries Organization, Science Coancil Research Document 99/87, 12 p. 29. Bergh, M. O. and Barkai, A., 1993. The management and utilisation of South Africa living marine resources: Principles, concepts and policiy options. Department of Zoology University of Cape Town, A document prepared at the request of the Land and Agricultural Policy Centre, 168 p. 30. Bianchini, M., Ragonese, S. and Levi, D., 2003. Managment hypothesis to improve yield-per-recruit and economic returns in the red shrimp (Aristaemorpha foliacea) fishery of southern Sicily (Mediteranean sea). Journal Northwest Atlantic Fisheries Science, 31, 233-243. 31. Blindheim, J. and Skjoldal, H. R., 1993. Effects of climatic changes on the biomass yield of the Barents sea, the Norwegian sea and West Greenland large marine ecosystems. American Association for the Advancement of Science Publication, 92, 185-198. 32. Booth, A. J. and Punt, A. E., 1998. Evidence for rebuilding in the panga stock on the Agulhas Bank, South Africa. Fisheries Research, 34, 103-121. 33. Brash, J. M. and Fennessy, S. T., 2005. A preliminary investigation of age and growth of Otolithes ruber from KwaZulu-Natal, South Africa. Western Indian Ocean Journal Marine Science, 4(1), 21-28. 34. Bridson, J., 2001. The effect of fishing on the evolution of north sea cod. Submitted for degree of doctor of philosophy, Department of statistics and modelling science, University of Strathclyde, 198 p. 35. Brodziak, J., Rago, P. and Conser, R., 1998. A general approach for making short-term stochastic projections from an age-structured fisheries assessment model. Symposium On Fishery Stock Assessment Models, Fishery Stock Assessment Models 933 Alaska Sea Grant College Program • AK-SG-98-01, , 933-954. 36. Buckel, J. A., Fogarty, M. J. and Conover, D. O., 1999. Mutual prey of fish and humans: a comparison of biomass consumed by bluefish, Pomatomus saltatrix, with that harvested by fisheries. Fishery Bulletin, 97, 776- 785. 37. Butler, C. M., 2007. Atlantic bluefin tuna (Thunnus thynnus) feeding ecology and potential ecosystem effects during winter in North Carolina. A thesis for the degree of master of science zoology, Faculty of North Carolina State University, 106 p. 38. Caddy, J. F. and Mahon, R., 1995. Reference points for fisheries management. . FAO Fisheries Technical Paper 347, 83 p. 39. Cadima, E. L., 2003. Fish stock assessment manual. FAO Fisheries Technical Paper 393, 83 p. 40. Cadrin, S. X. and Vaughun, D. S., 1997. Retrospective analysis of virtual population estimates for Atlantic menhaden stock assessment Fishery Bulltein., 95, 445-455. 41. Campana, S. E., 2001. Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. Journal of Fish Biology 59, 197-242. 42. Caramelo, A. M., 1996. Comparison of VPA results using two methods for conversation of length to age for Nephrops stocks in Portuguese waters. Boletin do Instituto Portugues de Investigacao Maritima, 2, 15-21. 43. Cardinale, M., Arrhenius, F. and Johnsson, B., 2000. Potential use of otolith weight for the determination of age-structure of Baltic cod (Gadus morhua) and plaice (Pleuronectes platessa). Fisheries Research, 45, 239-252. 44. Chakraborty, S. K., 1992. Length-weight relationship and biometric study on three species of sciaenids from Bombay waters. Journal of Indian Fisheries Association 22, 41-48. 45. Chakraborty, S. K., 2001. Growth studies of sciaenids from Mumbai waters using the Bhattacharya method. Naga ICLARM Quarterly, 24(1&2), 40-41. 46. Chang, J. H. and Liu, K. M., 2009. Stock assessment of the shortfin mako shark (Isurus oxyrinchus) in the Northwest Pacific Ocean using per recruit and virtual population analyses. Fisheries Research, 98, 92-101. 47. Chen, Y., Jiao, Y., Sun, C. L. and Chen, X., 2008. Calibrating virtual population analysis for fisheries stock assessment. Aquatic Living Resources, 21, 89-97. 48. Chilton, D. E. and Beamish, R. J., 1982. Age determination methods for fishes studied by the groundfish program at the pacific biological station. Canadian Special Publication of Fisheries and Aquatic Sciences, 60, 1- 102. 49. Ciloglu, E., 2005. Determination of the recruitment to stock and reproduction period for flounder (Platichthys flesus luscus Pallas, 1811) along the Trabzon-Rize coast, Eastern Black Sea. Turkey Journal Vet Science, 29, 43-48. 50. Cinco, E., 1982. Length-weight relationships of fishes, p. 34-37. In D. Pauly and A.N. Mines (eds.) Small- scale fisheries of San Miguel Bay, Philippines,. biology and stock assessment. ICLARM Technical Reports 7, 124 p. 153153153 /...

51. Coggins, J. L. G. and Quinn, T. J., 1998. A simulation study of the effects of aging error and sample size on sustained yield estimates. Symposium on Fishery Stock Assessment Models, Fishery Stock Assessment Models , Alaska Sea Grant College Program • AK-SG-98-01, 1998, 955-976. 52. Coggins, J. L. G., Pine, W. E., Walters, C. J. and Martell, S. J. D., 2006. Age-structured mark–recapture analysis: A virtual-population-analysis-based model for analyzing age-structured capture–recapture data. North American Journal of Fisheries Management, 26, 201-205. 53. Cooke, J. G. and Lankester, K., 1996. Application of a size-structured VPA to bluefin tuna (Thunnus thynnus)(SCRS/95/78),. Collective Volume of Scientific Paper. International Commission for the Conservation of Atlantic Tunas. , 45(2), 132-134,. 54. Dadzie, S. and Seedo, F. A., 2004. Testicular structure and spawning cycle in silvery croacker , Otolithes rubber (Perciformes : ) in the Kuwaut waters of the Persian Gulf. Journal of ichthyological research. Springer Tokyo., 51(3) 263-268. 55. Dadzie, S., 2007. Vitellogenesis, oocyte maturation pattern, spawning rhythm and spawning frequency in Otolithes rubber (Schneider, 1801) (Sciaenidae) in the Kuwaiti waters of the Persian Gulf,. Scientia marina, 71(2), 239-248. 56. Dadzie, S., Mnyala, J. O. and Abou-Seedo, F., 2005. Aspects of the population dynamics of Liza klunzingeri in the Kuwait Bay. Cybium, 29(1), 13-20. 57. Davis, M. L., 2003. Assessment of the south Atlanticred porgy (Pagrus pagrus) population under a moratorium. Thesis submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Master of science in fisheries and wildlife sciences, 168 p. 58. El-Halfawy, M. M., Amin, A. M. and Ramadan, A. M., 2007. Growth and reproduction of female brushtooth lizard fish Saurida undosquamis (Richardson) from the Gulf of Suez, Egypt. E.U. Journal of Fisheries & Aquatic Sciences 24(1-2), 143-148. 59. Euzen, O., 1987. Food habits and diet composition of some fish of Kuwait. Kuwait Bulltein Marine Science 9, 58-65. 60. FAO. 2007. The state of world fisheries and aquaculture 2006. Fisheries and Aquaculture Department, Rome,, 162p. 61. FAO. 2009. The State of world fisheries and aquaculture 2008. Fisheries and Aquaculture Department, Rome, 176p. 62. FAO. 2010. The State of world fisheries and aquaculture 2009. Fisheries and Aquaculture Department, Rome, 197p. 63. Farmer, B. M., French, D. J. W., Potter, I. C., Hesp, S. A. and Hall, N. G., 2005. Determination of biological parameters for managing the fisheries for mulloway and silver trevally in western Australia. Centre for Fish and Fisheries Research Murdoch University, Murdoch Western Australia 6150, Fisheries Research and Development Corporation Report FRDC Project 2002/004, 150p. 64. Fennessey, S. T., 2000. Aspects of the biology of four species of sciaenidae from the east coast of South Africa. Estuarine, Coastal and Shelf Science, 50, 259-269. 65. Fischer, W. and Bianchi, G., 1984. FAO species identification sheets for fishery purposes. Western Indian Ocean (Fishing Area 51). Prepared and printed by FAO , united Nations. Pages variable, 4. 66. Fishbase. 2010. hhttp://www.Fishbase.com/sumary/species sumary. phd?ID =4824 & genusname=Otolithes ruber. 67. Frédou, T., Ferreira, B. P. and Letourneur, Y., 2009. Assessing the stocks of the primary snappers caught in Northeastern Brazilian reef systems. 1: Traditional modelling approaches. Fisheries Research 99, 90-96. 68. Fry, F. E. J., 1949. Statistics of a lake trout fishery. Biometrics, 5, 27-67. 69. Gayanilo, F. C. J., and Pauly, D. 1997. The FAO-ICLARM stock assessment tools (FiSAT) reference manual. FAO Computerized Information Series (Fisheries), 262p. 70. Gayanilo, F. C. J., Sparee, P. and Pauly, D., 2002. The FAO-ICLARM stock assessment tools (FiSAT) user's guide. FAO Computerized Information Series (Fisheries), 8, 126p. 71. Gr¨oger, J. P., Winkler, H. and Rountree, R. A., 2007. Population dynamics of pikeperch (Sander lucioperca) and its linkage to fishery driven and climatic influences in a southern Baltic lagoon of the Darss- Zingst Bodden Chain. Fisheries Research 84, 189-201. 72. Grandcourt, E. M., Al Abdessalaam, T. Z., Francis, F. and Al Shamsi, A. T., 2005. Population biology and assessment of the orange-spotted grouper, Epinephelus coioides (Hamilton, 1822), in the southern persian Gulf. Fisheries Research 74, 55-68. 73. Haddon, M., 2001. Modelling and quantitative methods in Fisheries. . Chapman & Hall/CRC. New york., 424p.

/// / 154154154

74. Hoggarth, D., Mees, C., O’Neill, C., Hindson, J. and Krishna, M., 2005. A guide to fisheries stock assessment using the FMSP Tools. Marine Resources Assessment Group (MRAG), London, Centre for Environment Education, Ahmedabad,ISBN 81-86385-99-1, 91 p. 75. Hollowed, A. B., Bax, N., Beamish, R., Collie, J., Fogarty, M. and Livingston, P., 2000. Are multispecies models an improvement on single-species models for measuring fishing impacts on marine ecosystems? ICES Journal of Marine Science, 57, 707–719. 76. Horbowy, J., 2005. Assessing Baltic herring stocks with a model that incorporates migration. Fisheries Research 76, 266-276. 77. Ingles, J. and Pauly, D., 1984. An atlas of the growth , mortality and recruitment of Philippines fishes. ICLARM Technical Report, 13, 127p. 78. Iqbal, M., 1995. Stock assessment parameters of Otolithes ruber ( Schneider , 1801 ) in Pakistan coastal waters. Pakistan Journal of Zoology, 27(2), 187-191. 79. Jaervalt, A., 1998. Estimation of fishing mortality and abundance of pikeperch Stizostedion lucioperca (L.) in lake Vortsjaerv, Estonia, by virtual population analysis, . Limnologica, 28(1), 109-113. 80. Jaiswar, A. K., Chakraborty, S. K., Raja Prasad, R., Palaniswamy, R. and Bommireddy, S., 2003. Poppulation dynamics of lizard fish Saurida tumbil (Teleostomi/Synodontidae) from Mumbai, west coast of India. Indian Journal of Marine Sciences, 32(2), 147-150. 81. Jensen, C. C., 2009. Stock status of spotted seatrout, Cynoscion nebulosus, in North Carolina, 1991-2006. . North Carolina Division of Marine Fisheries P.O. Box 769 Morehead City, NC 28557-0769, 83p. 82. Jones, C. M. and Wells, B. K., 2001. Yield-per-recruit analysis for black drum, Pogonias cromis, along the east coast of the United States and management strategies for Chesapeake Bay. Fishery Bulltein 99, 328-337. 83. Jorgensen, T., 1990. Long-term changes in age at sexual maturity of Northeast Arctic cod (Gadus morhua L.) Journal du Conseil. Conseil International pour Exploration de la Mer 46, 235-248. 84. Kaitala, V., Jonzen, N. and Enberg, K., 2003. Harvesting strategies in a fish stock dominated by Low- frequency variability: The Norwegian Spring-spawning Herring (Clupea harengus). Marine Resource Economics, 18, 263-274. 85. Kanyerere, G. Z., 2003. Age, growth and yield-per-recruit analysis of ndunduma, Diplotaxodon limnothrissa (Teleostei: Cichlidae), in the Southeast Arm of Lake Malawi. A thesis submitted in fulfilment of the requirements for the degree of Master of Science of Rhords University, 85p. 86. Katsukawa, T. and Matsumiya, Y., 1998. Fisheries management based on reproductive potential: An xample for Chub Mackerel. Symposium on Fishery Stock Assessment Models, Fishery Stock Assessment Models ,Alaska Sea Grant College Program • AK-SG-98-01,, 999-1012. 87. Katsukawa, T., 2005. Evaluation of current and alternative fisheries management scenarios based on spawning-per-recruit (SPR), revenue-per-recruit (RPR), and yield-per-recruit (YPR) diagrams. ICES Journal of Marine Science, 62, 841-846. 88. Kawasaki, T., 1992. Climate-dependent fluctuations in the Far Eastern sardine population and their impacts on fisheries and society. In climate variability, climte change and fisheries, Edited by M. H. Glantz. Cambridge University Press, Cambridge, U. K., 325-355. 89. King, M., 2007. Fisheries biology, assessment and management. Second edition. Blackwell publishing, 382p. 90. Klungsoyr, J., Saetre, R., Foyn, L. and Loeng, H., 1995. Man’s Impact on the Barents Sea. Arctic, 48(3), 279-296. 91. Kohin, S., Conser, R. and Sakagawa, R., 2006. Biological reference points for use by ISC. 6th Meeting of the ISC 23-27 March, La Jolla, California, U.S.A., 3p. 92. Krumme, U., Keuthen, H., Barletta, M., Villwock, W. and Saint-Paul, U., 2005. Contribution to the feeding ecology of the predatory wingfin anchovy Pterengraulis atherinoides (L.) in north Brazilian mangrove creeks. Journal Applied Ichthyology, 21, 469-477. 93. Lassen, H. and Medley, P., 2000. Virtual population analysis. A practical manual for stock assessment. FAO Fisheries Technical Paper, 400, 129p. 94. Lee, J. and Gates, J., 2007. Virtual population units: A new institutional approach to fisheries management. Marine Resource Economics, 22, 29-47. 95. Lilly, G., Parsons, D. G. and Kulk, D. W., 2000. Was the increase in shrimp biomass on the northeast Newfoundland shelf a consequence of a release in predation pressure from cod ? Journal Northwest Atlantic Fishery Science, 27, 45-61. 96. Liu, K. M. and Cheng, Y. L., 1999. Virtual population analysis of the big eye Priacanthus macracanthus in the waters off northeastern Taiwan. Fisheries Research, 41, 243-254. 97. Liu, K. M., Changa, Y. T., Ni, I. H. and Jin, B. J., 2006. Spawning per recruit analysis of the pelagic thresher shark, Alopias pelagicus, in the eastern Taiwan waters. Fisheries Research, 82, 56-64. 155155155 /...

98. Lleonart, J., 2002. Overview of stock assessment methods and their suitability to Mediterranean fisheries. 5th session of the SAC-GFCM,Rome. 99. Loeng, H., 1989. The influence of temperature on some fish population parameters in the Barents sea. Journal of Northwest Atlantic Fishery Science, 9, 103-113. 100. Love, M. S. and Brooks, A., 1990. Size and age at first maturity of the California halibut Paralichthys californicus, in the southern California bight. California Department of Fish and Game, Fishery Bulletin, 174, 167-174. 101. Magnússon, K. G., 1999. Biological interactions in fish stocks: models and reality. Rit Fiskideildar, 16, 295- 305. 102. Mateus, L. A. d. F. and Estupinan, G. M. B., 2002. Fish stock assessment of iraputanga Brycon microlepis in the Cuiaba river basin, Pantanal of mato grosso, Brazil. Brazil Journal of Biology, 62(1), 165-170. 103. Matheus, C. P. and Samuel, M., 1985. Stock assessment and management of Newaiby, Hamoor and Hamra in Kuwait. Proceedings of the 1984 Shrimp and Fin Fisheries Management Workshop. Kuwait Institute for Scientific Research, 67-115. 104. Matsuda, H. and Abrams, P. A., 2006. Maximal yields from multispecies fisheries system: Rules for systems with multiple throphic levels. Ecological Applications, 16(1), 225-237. 105. Mehanna, S. F., 2007a. Stock assessment and management of the Egyptian Sole aegyptiaca Chabanaud, 1927 (Osteichthyes: ), in the southeastern Mediterranean, Egypt. Turky Journal of Zoology, 31, 379-388. 106. Mehanna, S. F., 2007b. A preliminary assessment and management of gilthead bream Sparus aurata in the Port Said fishery, the southeastern Mediterranean, Egypt. Turky Journal of Fishery Aquatic Science, 7, 123-130. 107. Mohamed, A. R. M., Ali, T. S. and Hussain, N. A., 1998. Fishery, growth and stock assessment of tigertooth croaker Otolithes ruber (Schneader) (sic) in the Shatt Al-Arab estuary, northwestern Persian Gulf. Marina Mesopotamica, 13(1), 1-18. 108. Myers, R. A., Fuller, S. D. and Kehler, D. G., 2000. A fisheries management strategy robust to ignorance: rotational harvest in the presence of indirect fishing mortality. Canadian Journal of Fisheries Aquatic Science, 57, 2357-2362. 109. Myers, R. A., Hutchings, J. A. and J, B. N., 1997. Why do fish stocks collapse? The example of cod in Atlantic Canada. Ecological Applications, 7, 91-106. 110. Nair, K. V. S., 1980. Food and feeding habits of Otolithes rubber ( Schneider , 1801 ) at Calicut. Indian Journal Fisheries, 26(182), 133-139. 111. Nakken, Q. and Raknes, A., 1987. The distribution and growth of northeast Arctic cod in relation to bottom temperature in the Barents sea, 1978-1984. Fisheries Research, 5, 243-252. 112. Nasir, N. A., 2000. The food and feeding relationships of the fish communities in the inshore waters of Khor Al-Zubair, northwest Persian Gulf. Cybium, 24(1), 89-99. 113. Nelson, G. A., Chase, B. C. and Stockwell, J. D., 2006. Population consumption of fish and invertebrate prey by striped bass (Morone saxatilis) from coastal waters of northern Massachusetts, USA. Journal of Northwest Atlantic Fisheries Science 36, 111-126. 114. Nelson, K. and Soule, M., 1987. Genetical conservation of exploited fishes. In N. Ryman and F. Utter (eds.), Population genetics and fishery management, p. 345-368. Univ. Washington. Seattle. WA,420 p. 115. Novaluna, N. A., 1982. Morphometrics, biology and population dynamics of the croaker fish, Otolithes ruber, p. 38-55. In D. Pauly and A.N. Mines (eds.) Small-scale fisheries of San Miguel Bay, Philippines,. Biology and stock assessment. ICLARM Technical Reports 7, 124 p. 116. Nurul Amin, S. N., 2001. Studies on age and growth, VPA analysis and relative condition factor of Harpodon nehereus, from the neritic water of Bangladesh. Online Journal of Biology Science, 1(4), 192-194. 117. Ottersen, G., Kim, S., Huse, G., Polovina, J. J. and Stenseth, N. C., 2010. Major pathways by which climate may force marine fish populations. Journal of Marine Systems 79, 343-360. 118. Overholtz, W. J., 1999. Precision and uses of biological reference points calculated from stock recruitment data, . North American Journal of Fisheries Management, 19, 643-657. 119. Passoupathy, A. and Natarajan., R., 1987. Food and feeding habits of Kathala axillaries (Cuvier) and Otolithes rubber (Schneider). Matsya,, 12(13), 152-161. 120. Pastor, O. T., 2002. Life historyand stock assessment of African hind (Cephalopholis teniops) (Valencienes, 1828) in Sao vicent-Sao nicolau insular shelf of the Cape verde Archipelago. UNU - Fisheries Training Programme, 45p. 121. Pauly, D., 1982. A method to estimate the stock - recruitment relationship of shrimps. Transactions of American Fisheries Society, 111(1), 13-20. 122. Pauly, D., 1989. Biology and management of tropical marine fisheries. . Resource Management and Optimization, 6(3), 253-271.

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123. Pauly, D., Christensen, V., Johannes, D., Rainer, F. and Francisco, T., 1998. Fishing down marine food webs. Science, 279, 860-863. 124. Pillai, P. K. M., 1983. On the biometry, food and feeding and spawning habits of Otolithes ruber (Schneider) from Porto Novo. Indian Journal of Fisheries, 30(1), 69-73. 125. Purtlebaugh, C. H., 2007. Relative abundance, growth and mortality of five estuarine age-o fish in relation to discharge of the Suwanne River, Florida. A thesis presented to the graduate school of the University of Florida in partial fulfilment of the requirement for the degree of Master of Science, 43 p. 126. Ricker, W. E., 1981. Changes in the average size and average age of Pacific salmon. . Canadian Journal of Fisheries and Aquatic Science, 38, 1636-1656. 127. Saetersdal, G. and Loeng, H., 1987. Ecological adaptaion of reproduction in northeast Arctic cod. Fisheries Research, 5, 253-270. 128. SAFMC. 2001. Joint snapper-grouper advisory panel, assessment group, . SSC, and committee meeting, December 5, Wrightsville Beach, NC. 129. Sánchez, F. and Olaso, I., 2004. Effects of fisheries on the Cantabrian Sea shelf ecosystem. Ecological Modelling 172, 151-174. 130. Sawusdee, A. and Songrak, A., 2009. Population dynamics and stock assessment of Blue swimming Crab (Portunus pelagicus Linnaeus, 1758) in the coastal area of Trang Province, Thailand. Walailak Journal Science and Technology 6(2), 189-202. 131. Scharf, F. S. and Schlichat, K. K., 2000. Feeding Habits of Red Drum (Sciaenops ocellatus) in Galveston Bay, Texas: Seasonal Diet Variation and Predator-Prey Size Relationships. Estuaries 23(1), 128-139. 132. Schultz, N., 1992. Preliminary investigations on the population dynamics of Otolithes ruber (Sciaenidae) on Sofala Bank, Mozambique. Revista de Investigacao Pesqueira (Maputo), 21, 41-49. 133. Smith, M. and Heemstra, P. C., 1986. Smiths sea fishes. Springer-Verlay, Berlin Heidelbrg Newyork, 1046p. 134. Sparre, P. and Venema, S. C., 1998. Introduction to tropical fish stock assessment Part 1, Manual,. FAO Fisheries technical paper No.306.1, Rev.2, Rome,, 433 p. 135. Sun, C. L., Wang, S. P., Porch, C. E. and Yeh, S. Z., 2005. Sex-specific yield per recruit and spawning stock biomass per recruit for the swordfish, Xiphias gladius, in the waters around Taiwan. Fisheries Research 71, 61- 69. 136. Thunberg, E. C., Brannan, A. D. and Taylor, T., 1993. Commercial fishing revenue losses under harvest restrictions: the case of the Florida red drum. Society and Natural Resources, Vol. 6, 181-194. 137. Tuomikoski, J. T., Rudershausen, P. J., Buckel, J. A. and Hightower, J. E., 2008. Effects of age-1 striped bass predation on juvenile fish in western Albemarle Sound. Transactions of the American Fisheries Society 137, 324-339. 138. Ueda, Y., Matsuishi, T. and Kanno, Y., 2001. Weight-based population analysis: an estimation method. Fisheries Research 50, 271-278. 139. Ueng, J. P., Huang, B. Q. and Mok, H. K., 2007. Sexual Differences in the Spawning Sounds of the Japanese Croaker, Argyrosomus japonicus (Sciaenidae). Zoological Studies, 46(1), 103-110. 140. Vaughan, D. S., Smith, J. W. and Prager, M. H., 2000. Population Characteristics of Gulf Menhaden, Brevoortia patronus. NOAA Technical Report NMFS, 149, 119p. 141. Waggy, G. L., Brown-Peterson, N. J. and Peterson, M. S., 2006. Evaluation of the reproductive life history of the sciaenidae in the Gulf of Mexico and Caribbean Sea: “Greater” versus “Lesser” Strategies? 57th Gulf and Caribbean Fisheries Institute, 263-281. 142. Weizhong, C., Changsong, L. and Fen, H., 2003. Application and improvement of virtual population analysis (VPA) in stock assessment of Thamnaconus septentrionalis. Journal Fisheries of China 24(6), 522-526. 143. Whipple, S. J., Link, J. S., Garrison, L. P. and Fogarty, M. J., 2000. Models of predation and fishing mortality in aquatic ecosystems. Fish and Fisheries, 1( 1), 22-40. 144. Woodrow, M., 1998. A case study of fisheries reduction programs during the northern cod moratorium. Ocean and Coastal Management 39, 105-118. 145. Worm, B. and Myers, R. A., 2003. Meta-analysis of cod- shrimp interactions revealw top-down control in Oceanic food webs. Ecology, 84(1), 162–173. 146. Xiao, Y., 2007. The fundamental equations of multi-species virtual population analysis and its variants. Ecological modelling, 201, 477-494. 147. Ying-Chou, L. and Chiang, L. H., 1996. An updated virtual population analysis of the Indian Ocean albacore stock, 1980-1992,. Proceedings of the sixth Expert Consultation on Indian Ocean Tunas, Colombo, SriLanka, 25- 29-September 1995, Anganuzzi, A.A. (ed.); Stobberup, K.A. (ed.); Webb, N.J.-(ed.) Colombo, Sri-Lanka IPTP, 9, 267-278. 157157157 /...

148. Zhao, B. and McGovern, J. C., 1997. Temporal variation in sexual maturity and gear-specific sex ratio of the vermilion snapper Rhomboplites aurorubens, in the South Atlantic Bight. Fishery Bulletin, 95(4), 837-848. 149. Zhao, B., McGovern, J. C. and Harris, P. J., 1997. Age. growth, and temporal change in size-at-age of the vermilion snapper from the South Atlantic Bight. Transactions of the American Fisheries Society, 126, 181-193.

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Abstract : In present research, stock assessment of Otolithes ruber was carried out using Virtual Population Analysis (VPA) method with an emphasis on the effect of predation by this species on shrimp stock in the coastal waters of North-West Persian Gulf. Maturity, length, age, growth parameters and length-weight relation of 2117 fish with length range of 6-59 cm were studied during 2007-2008. For stock assessment, Ten years catch data from 2002- 2012 and length frequency data from fisheries statistic program and fisheries research biometric information for converting to age frequency were used respectively. The maximum age for O.ruber, was estimated 6 years. The age and length at first maturity were 1.55 (year) and 28 (cm) respectively. Growth parameters based on von Bertalanffy equation, L ∞, K and t 0 were estimated 67.57 cm, 0.27 year and -0.43 respectively. The mean catch length obtained in this period was 27 cm. The total, natural and fisheries mortality and exploitation rate were estimated to be 1.11, 0.56, 0.55, 0.50 respectivel. The trend of exploitation rate did not show complete exploitation of this fish over in the last ten years study period. Length frequency analysis indicated homogenous distribution of length groups. The results of VPA showed similar fluctuation between the number and stock biomass and the number and weight of catch. According to VPA the highest fisheries mortality was observed in the age classes 4, 5 and 6. Fisheries mortality showed a strong and negative correlation with spawning stock biomass and strong and positive correlation with exploitation rate. Percentage spawning potential and SSB/R showed that they are lower in the some years in the range of biological reference points. In some year’s fisheries mortality was more than precautional and median mortality indicating complete exploitation in those years. Prediction of population indices of O.ruber for next 15 years showed that if fisheries mortality remained at the current status, a descending trend would be observed in these indices. Y/R showed that the stock of this fish is not under full exploitation and by increasing average length more yield could be obtained. But according to VPA and reference points results sustainable stocks need actual planning by fishery managers. The food content of O.ruber showed that the ration of shrimp consumption to stock biomass was 2.7 and the ratio of both shrimp and fish consumption with stock biomass was 5. Consumption of shrimp was the highest in 2 and 3 year old fish. Though there was a weak correlation between prey and predator frequency there was no interaction between them. Key words: Virtual population analysis models of Otolithes ruber stocks and comparison between prey biomass consumed and that harvested in North-West Persian Gulf

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6. Adams, P., 1980. Life history Patters in marine fishes and their consequences for fisheries management. Fish. Bull.,78(1). 7. Beverton, R. J. H. and Holt, S. J., 1983. Manual of method for fish stock assessment.Part2. Tables of yield function. FAO Fish Paper, 150p. 8. Biswas, S. P.,1993.Manuel of methods in fish biology, fish biology & Ecology laboratory, Dibruyarh university,Dibrugarh.157p. 9. Cadmia, P., 2003. Fish stock assessment manual. FAO Rome. Italy, 455p. 10. FAO. 2001. Review of the state of world fishery resources. Marine Fishery. FAO fisheries Circular , Rome. 11. FAO. 2005. FAO Yearbook. Fishery statistics. Food and Agriculture Organization of the United Nations. Rome. 12. Fisher, W. and Bianchi, G., 1984. FAO Species Identification sheets,Fishing area 51,west Indian Ocean. 13. Ganga, U. and Pillai, N., 2000. Field identification of scombroids from Indian Sea. Ln. Pillai, N. G. K., Menon, N. G., Pillai, P. P. and Ganga, U.(Eds.) Management Scombroids Fisheries , Central Marine Fishery Research Institute, Kochin. 1-13. 14. Garcia S.M. and C. H. Newton. 1994. Responsible fisheries: an overview of FAO policy developments (1945-1994). Marine Pollution Bulletin, 29(6-12): 528-536 15. Gayanilo, F. C. J., Sparee, P. and Pauly, D., 2002. The FAO-ICLARM stock assessment tools (FiSAT) user's guide. FAO Computerized Information Series (Fisheries), 8, 126p. 16. Gulland, J.A., 1979. Report of FAO/IOP workshop on the fishery resources of the western Indian Ocean South of the Equator. Rome, FAO, IOFC/DEV/79/45: 1-37. 17. Hoenig, J.M., Csirke, J., Sanders, M. J., Abella, A., Andreoli, M. G., Levi, D., Ragonese, S., Al-Shoushani, M. And El-musa, M. M., 1987. Data Acquisition for Length-Based Stock Assessment : Report of Working Group 1. Pages 343-352 In D. Pauly and G. Morgan (eds.), Length-based Methods in Fishery Research. ICLARM Conference Proceedings 14. International Center for Living Aquatic Resource Management, Manila, Philippines and Kuwait Institute for Scientific Research, Safat, Kuwait. 18. Jenning, S. Kasier, M. and Reynold, J., 2000. Marine Fisheries Ecology.Black well Science.391p. 19. King, M., 2007. Fisheries biology & assessment and management. Fishing news press, 340p. 193193193 /...

20.Kirkwood, G.P. , Aukland, R. and Zare, S.J., 2001. Length frequency distribution analysis. (LFDA) , version5.0. MRAG Ltd., London, UK. 21. Martin,W. R.,1994. The mechanics of environmental control of body form in fishes. Univ. Toronto stud. Bio I. 58:1-91. 22. Mathew C. P, Al-Husseini M., Abdul Ghaffar A. R. and Al-Shouani M., 1987. “Assessment of short lived stocks with special reference to Kuwait shrimp fisheries a contrast of the results obtained from traditional and recent size- based techniques, mariculture and fisheries department Kuwait Institute for scientific Research, Safat Kuwait, 147-166 23. Mateus, A ., and Estupina, B., 2002.Fish stock assessment of Piraputanga ( Brycon microlepis) in the Cuiaba Basin. Braz J. biology. 165-170. 24. Micheal, M., 1995.The aquatic environment. Black well Science .302 p. 25. Mohamed, Kh.,1967. Peneaiod prawn in commercial shrimp fisheries of bombav with notes on specis and size fluctuations. 1408-1418. In.Proceedings of the symposium of Crustacea held at Ernaculam. January, 1965. Mar. Biol. Assoc. India. mandapam camp. India. part ІV. 26. Pauly, D., 1980 Some simple methods for the assessment of tropical fish stocks. FAO Fish.Tech.Pap., (234):52 p. 27. Pillia,P. Pillia,N. Muthian,C.Yohannan,T.Mohamad kasiam,H and Gopakumar,G. 2000. Stock assessment of castal tuna in the Indian sea. In.Pillai,N.G.K., Menon,N.G., Pillai,P.P and Ganga,U.(Eds.) Management Scombroids Fisheries , Central Marine Fishery Research Institute, Kochin.p125-130. 28. Tesch, F.W., 1968. Age and growth in methods for assessment of fish production in fresh water. Ed. W. E. Ricker. IBP Handbook No.3. 29. Sparre, P. and Venema, G., 1998. Introduction to tropical fish stock assessment. Part1- Manual, 337 P. FAO Rome, Italy. 30. Welcome, R., 2001. Inland Fisheries Ecology and Management. Food and Agriculture Organization of United nation by Black wall Science.345p.

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Abstract Population dynamics parameters and exploitation ratio of Jinga Shrimp, Metapenaeus affinis were studied from Sep 2011 to Dec 2011 and data collected from two landing places (Hendijan and Lifee-Bosif). During the project, more than 2200 specimens of jinga shrimp were measured. The mean value of length for the male and female were calculated as 9.8±0.86, 10.24±1.18 and mean value of weight for the male and female was as 6.730±1.64, 8.14±2.90 respectively. The length-weight relation were calculated as TW=0.024TL 2.24 (n=1084,R 2=0.71) for males, TW=0.011TL2.80 (n=1081,R 2= 0.81) for females also we found significant different level length-weight relation in P<0.05. The growth parameters of von Bertalanffy equation were as, L ∞: 14.73 and K: 1.1 and t 0: -0.02. The estimated valve of total mortality, natural mortality , fishing mortality and exploitation ratio is Z: 4.35, M: 1.68, F: 2.67, E: 0.61 respectively. By using method analyses knife-edge selection, relative yield per recruitment (Y'/R) :0.014, relative biomass per recruitment, (B'/R) :0.085., Exploitation ratio maximum sustainable yield, E max : 0.38; biological reference points for Jinga Shrimp stock was calculated. MSY and f msy value was 600T and 46100day respectively. Result in this study showed exploitation ratio Jinga Shrimp stock is over fishing and decreases exploitation ratio proposed. Key words: Jinga Shrimp, Population Dynamics, Exploitation, Khuzestan province, Iran

Ministry of Jihad – e – Agriculture AGRICULTURAL RESEARCH, EDUCATION & EXTENSION ORGANIZATION IRANIAN FISHERIES RESEARCH ORGANIZATION –South Aquaculture Research Center

Title : Status of the tiger tooth croaker, Otolithes ruber (Schneider, 1801) and jinga shrimp, Metapenaeus affinis (H. Milne Edwards, 1837) stocks in Khouzestan coastal waters Approved Number: 4-74-12-89045 Author: Gholamreza Eskandari Executor : Gholamreza Eskandari Collaborator : S. A. Hashemi, A. Taghavi motlagh, S. Dehghan madiseh, Y. Mayahi ,S. Albuobaid Advisor(s): - Supervisor: F.kaymaram Location of execution : Khuzestan province Date of Beginning : 2010 Period of execution : 1 Year & 9 Months Publisher : Iranian Fisheries Research Organization Date of publishing : 2013

All Right Reserved . No Part of this Publication May be Reproduced or Transmitted without indicating the Original Reference

MINISTRY OF JIHAD - E - AGRICULTURE AGRICULTURAL RESEARCH, EDUCATION & EXTENSION ORGANIZATION IRANIAN FISHERIES RESEARCH ORGANIZATION - South Aquaculture Research Center

Title: Status of the tiger tooth croaker, Otolithes ruber (Schneider, 1801) and jinga shrimp, Metapenaeus affinis (H. Milne Edwards, 1837) stocks in Khouzestan coastal waters

Executor : Gholamreza Eskandari

Registration Number 42040