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FAO Fisheries Report No. 389 FIRM~389

CONTRmUTIONS TO TROPICAL FISHERIES BIOLOGY

Papers prepared by the participants at the FAO/DANmA Follow-up Tra1ning Courses on FishStock Assess~ent intheTropics

Hirtshals, Denmark 5-30 May 1986

Manila, 12 January -6 February 1986

I DENMARK FUNDS-IN-TRUST GCP/INT/392/DEN

FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS

------FADrisheries RepOrt No.389 FI 89

aNrRIBUTIOOS 'JX) TROPICAL FISHERIES BIOLOGY . ,

Papers prepared by the participants at the FAOjDANIDAFollow-up Training Course on Fish stock Assessment in the Tropics

Hif,t$hals, Denmark Manila, Philippines .5-30 May 1986 12 January - 6 February 1986

Edi ted by

s.c. Venema J.M. Christensen Fishe~ Resources and Danish Institute for Fisheries Environment Division and Marine Research FAD Char10ttenlund Castle 00100 Rome DK-2920 Char10ttenlund Italy Denmark and

D. Pauly International Centre for Living Aquatic Resources Management MCP.O. Box 1501 . Makati, Metro Manila Philippines

DENMARKFUNDS-IN-TRUST, GCP/INTj392/DEN FOOD AND AGRICUL'lURE ORGANIZATION OF THE UNITED NATIONS . ROME 1988

-... iii

PREPARATICII OF THIS DOCUMENT

The papers contained in this document were prepared by participants at two FAO/DANIDA Follow-up Training Courses held at Hirtshals, Denmark, in May 1986, and in Manila, Philippines, in January 1987. All papers were first scrutinized by the lecturers during or shortly after the courses before final editing. A full discussion of the goals and the methods of the courses, organized by the FAO/DANIDA project is presented in an additional paper prepared by the editors.

This document was prepared for printing by FAO at the International Centre for Living Aquatic Resources Management (ICLARM) in Manila, Philippines.

Distribution: documentFor biblio6r~hics 0 d bepurEQsescited asthisfollows:

DANIDA Venema, S.C., J.M. Christensen and D.pauly, Authors and their Institutes 1988 (eds.), Contributions to tropi- Participantsat the FAOjDANIDA cal fisheries biology. Papers Courses prepared by the participants at Institutes specialised in the FAO/DANIDA Follow-Up Train- Tropical Fish stock Assessment ing Courses on fish stock assess- Institutes of Fisheries Education ment in the tropics. Hirtshals, Interested National and Inter- Denmark, 5 - 30 May 1986 and national Organizations Manila, Philippines, 12 January- FAO Fisheries Department 6 February 1987. FAD Fish.Rep., FAD Regional Fishery Officers (389):519 p.

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Contents

Training in Tropical Fish Stock Assessment: A Narrative of 'Experience . Siebren C. Venema, Jorgen M. Christensen andDanielPauly...... 1

Dynamics of Tropical Commercial Invertebrates Growth, Mortality and Recruitment of the Asian Moon Scallop (Amusium pleuronectes) in the Visayan , Philippines . Ma.EthelGabral-Llana...... 16

Assessment of Indian Squid (£Oligo duvauceli) and Mitre Squid (L. chinensis) in the ·MalaSupongpan.. 25 Growth Parameters and Mortality of the Deep-Sea Red Crab, Geryon quinquedens, off Mozambique. Rui de Paula e Silva. . . . 42 An Analysis of an Inshore Population of Penaeus subtilis in the Gulf of Paria, Trinidad . BorisFabres...... 57 Estimation of Growth and Mortality in Banana Prawn (Penaeus mef.'guiensis)from the South Coast of Java, Indonesia · Bambang Sumiono.. . ~...... 69 Growth, Mortality and Exploitation Rates of Penaeus indicus in Manila , Philippines and Southeast India . Edna V. Agasen and CorazonM.delMundo...... 89

An Assessment of Jinga Shrimp, Metapenaeus affinis (Penaeidae), in Ban Don Bay, Gulf of Thailand . AtcharaVibhasiri...... 101 An Assessment of the Southern Velvet Shrimp (Metapenaeopsis palmensis) (Penaeidae)off the Coast of Rayong Province, Gulf of Thailand . Sommai Yoo-Sook-Swat and Wannakiat Thubthi1tlSang...... 117 Dynamics of Tropical Demersal Fishes Population Dynamics of Nemipterus japonicus (Pisces: Nemipteridae) offKedahState,Malaysia.MahyamBintiMohd.lsa~. .. 126 Population Dynamics of Big-Eye Croaker (Pennahia macrophthalmus, Sciaenidae) off Kedah, Penang and Perak States, Malaysia · Abu Talib b. Ahmad...... 141 Estimation of Growth Parameters and Mortality of Longneck Croaker (Pseudotolithus typus) in Cameroon. Theodore Djama. .. 153 _. u . ______.

v;;; . Population Dynamics of Emperor Red Snapper (Lutjanus sebae) with Notes on the Demersal Fishery of the Mah6 Plateau, Seychelles · Ghis/aineLab/acheand GuidoCarrara...... 171 Growth, Mortality and Biomass Estimation of Goat Fish (Upeneus sulphureus) in the , Indonesia · SuhendroBudihardjo...... 193 Estimation of Growth Parameters and Mortality Rates for Drepane africanain SenegaleseWaters. DjibyThiam. . ! ...... 214 Estimation of Biomass, Growth and Mortality Parameters of Dentex spp. (Sparidae) in SielTa Leonean Waters. Arthur B.C. Jones and RitchieP.Jones...... 229

Estimation of Biomass and Biological Parameters of Pentaprion /ongimanus (GelTeidae) off the North Coast of Java, Indonesia. ErisMulyadi...... 246 Dynamics of Tropical Pelagic Fishes Seasonal Growth, Mortality and Recruitment Pattern of Sardinella maderensisoffSenegal.BiraneSamb...... 257 Growth Parameters and Mortality Rates of Nile Perch (Lates niloticus) Estimated from Length-Frequency Data in the Nyanza Gulf (Lake Victoria) . AndrewA. Asila andJamesOgari...... 272 Sources of Bias in Growth and Mortality Estimation of Migratory P~lagic Fish Stocks, with Emphasis on Decapterus russelli (Carangidae) in Mozambique . Maria Imelda Rodrigues Fernandese Sousa...... 288

Population Biology of Russell's Scad (Decapterus russelli) in the Java Sea, Indonesia. Johannes Widodo...... 308 Estimation of Growth and Mortality of Round Scad (Decapterus macrosoma) in the Java Sea, Indonesia . Suherman B(;mon Atmadja...... 8 8 8 . . . 8 . . . ..8 8 324 Growth, Mortality, Recruitment and Exploitation Rate of Selar boops in DavaoGulf,Philippines.ErJindaDy-AJi...... 346 Growth, Mortality and Maximum Sustainable Yield of the Indo-Pacific Mackerel (Rastrelliger brachysoma) off the Southwest Coast of Thailand. VeeraBoonraksa...... 356

Growth and Mortality Estimation of Indian Mackerel (Rastrelliger kanagurta) in the Malacca Strait, Indonesia . Goma/ H. Tampubolon...... 372

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A Study of Growth Parameters and Mortality Rates of Scomberomorus brasiliensis from the Coastal Areas of Trinidad, · MicheleJulien-Flus...... '. . .. 385

An Assessment of King Mackerel (Scomberomorus commerson) in the Inner Gulf of Thailand · AmaraCheunpan...... 401 Discriminant Analysis of Morphometries of the Indian Mackerel (Rastre//iger kanagurta) in the Malacca Strait and Scad (Decapterus russe//i) in the Java Sea, Indonesia. Mina L. Soriano, Gomal Tampubolon and Johannes Widodo ...... 411 Biological and Technical Interactions in Tropical Multispecies Stocks and Fisheries Aspects of the Lake Victoria Fisheries, with Emphasis on Oreochromis niloticus and Alestes sadleri from the Nyanza Gulf . Albert Getabu...... 416

Estimating the Food Consumption per Unit Biomass of a Population of Epinephelus fuscoguttatus (Pisces: Serranidae) . Ma. Lourdes D. PalomaresandCesarioR.Pag(iilao...... 432 An Analysis of Statistical Data from the Jamaican Inshore Fisheries · MiltonHaughton...... 443 Mesh Size Selection in Antillean Arrowhead Fish Traps · JackWard...... 455

A Comparative Study of Fish Mortality Rates in Moderately and Heavily Fished Areas of the Philippines. Dulce Tandog-Edralin, Salud R. GanadenandPeterFox...... 468

Effect of Incorporating Sigmoid Selection on Optimum Mesh Size Estimation for the Multispecies Trawl Fishery · Geronimo T. Silvestre and Mina L. Soriano...... 482

Effects of A Partial Increase of the Mesh Size in the Multispecies and MultifleetDemersalFisheriesin the Gulf of Thailand . Yingyong. Meemeskul...... 493

Indexes. V.C. Sambilay, Jr.*

SpeciesIndex...... 507 GeographicIndex...... 510

AuthorIndex...... 515

.CoUege of Fisheries, University of the Philippines in the , Diliman, Quewn City. Philippines.

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Jones, R. 1984. Assessing the efCect oCchanges in exploitation paueros using length composition data (with notes on VPA and cohon analysis). FAO Fish. Tech. Pap. 256, 118 p. Munro,l.L. 1980. Stock assessment models: applicability and utility in tropical small-scale flSherie., p. 35-47. In S. Saila and P. Roedel (eds.) Stocle assessment for tropical .mall-.cale fisheries. International Center for Marine Resource. Development, King.ton, R.L Munro, 1.1.. and D. Pauly. 1982 The ICLARM Networlc of Tropical Fi.heries Scientists. ICLARM New.letter 5(4):5. Paul)', D. 1979. Gill.ize and temperature as governing Cactor in fish growth: a generalization of von Bertalanffy'. growth formula. Ber.lnsL Meere.le.Univ.KielNo.63,XV+ 156p. . Pauly, D. 198Oa. On the interrelationship. between natural mortality, growth parametera and mean environmental temperature in 175 fish stocles. I. Con.., eons.InL Explor. Mer 39(3): 175-192 Pauly, P. 198Ob. A new methodology for rapidly alXJuiring basic information on tropical Cish stock.: growh, monality and .tocle recruitment relationships, p. 154-1721n S. Saila and P. Roedel (cds.) Stoclc alles.ment for tropical.mall-scale fISheries. International Center Cor Marine Resources Development, Kingston, R.L Pauly, P.1984. FISh population dynamics in tropical waters. A manual for use with programmable calculators. ICLARM Studies and Reviews 8, 325p. Pal11)', D. 1986a. On improving operation and use oCthe BLEFAN program. Pan n: improving the estimation of 1.- Fishbytc 4(1): 18-20. Pauly, D,1986b. A brief review of method. used by the participanu of the GCFM Worlcshop held In Sidi-Fredj on Simple Analytic Methods for '.. Stock Allellments, 16-18 November 1985. Annex P, p. 152-161 (version francaise p. 145-151). FAO Fish. Rep. 347, Rome, 231 p. Pauly, D. 1986e. Fisheries .cienti.u must write. Naga, TheICLARM Quarterly 9(1): 11-12. Pauly, D, and J.1- Munro. 1982. On the development and dissemination of new methodologie. for tropicalstocle allellment, p. 79-87 (AMex 3). In Indo-Pacific Fisheries Commillion. Report of the Third Session of the Standing Commiuee on Resources Research and Development, Sydney, , 28 April to 4 May 1982 FAO Fish. Rep. No. 275. Rome. Pauly D. and 1.1- Munro. 1984. Once more on growth comparison in fish of invertebrates. Fishbyte 2(1):21. Plluly, Dr and M.'Soriano. 1986. Some practical extension. to Bevenon and Holt'. relative yield'per-recruit model, p. 491-496. In 1.1- Maclean, 1-B. Dizon and 1- V. HosiUos (eds) The First Asian Fisheries Forum. A.ian Fisheries Society, Manila, Philippines. . PauJr, D, and G.R. Morgan, editors. 1987. Length-based method. in fisheries research. ICLARM Conference Proceeding. 13. 468 p.lntemational Center for Living Aquatic Resources Management, Manila, Philippines and Kuwait institUte for Scientific Research, SaCat, KuwaiL Saeger,l( and F.C. Gayanilo, Jr. 1986. A revised and graphic.-oricntated version of ELEFAN 0, I and n basic programs for use on HP86187 microcomputers. Univ. Philippine., DepL Mar. Fish. Tech. Rep. 8:1-233. Schader, M.B. 1957. A study of the dynamics of the fishery for yel10wfUt tuna in the eastern tropical Pacific . Inter-Am. Trop. Tuna Comm. Bull 2:247-268. . SPIne, P. 1985. Introduction to tropical fuh stoclc assessmenL FI: GCP/INT1392JDEN, Rome. (pan I Text and Exercise: 1-338. Pan n Answers to Exercises:339-384). . Spam, p, 1987. Computer programs for fi.h stoclc allessmenL Length-based fISh stoclc assessment for Apple n computers. FAO FISh. Tech, Pap. 101, SuppL 2 Rome. 218 p. Thiam, p. 1986. Some improvements and oorrections to Sim's version of ELEFAN I. Fishbyte 4(3):6-10. Venema, S, and D. Pauly. 1982 Training oourses in fISh stocle allessment: the past and the futUre. ICLARM Newsletter 5(4):13-14. Wethc~, I.A. 1986. A new method for estimating growth and mortality parameters from length-frequency data. Fishbytc 4(1): 12-14.

L. -- .. I

SpeciesIndex Cowfish, see Acanthostracion quadrlcornis Crab, Pea. see Pinnatheres Acanthocybium solandri 446 Crab, Red, see Geryon quinquedens Acanthostracion 459 . Croaker, see Micropogon undulatus Acanthostracion quadricornis 458 Croaker, Big-eye, see Pennahia macrophthalmus Acanthuridae 443,446,452 Croaker, Longneck, see Pseudotolithus typus Acanthurus 457,461,462,465 Crustacea173,273 . bahianus 459,461 Ctenapema murlei 421,423 chirurgus 459,461 Cuttlefish 498 coeruleus 459,461 Cyprinidae 431 Alestes 274,419-421,423 jacksoni 421 L>ec~terus 307,310,324,345,371,384 sadleri 416,420,421,423-426 macrosoma 288,308,310,324,325,327,328,333, Amusium 16,17,22-24 334-341,343-345,472,473,476,478 ballon 16, 23, 24 maruadsi 323 pleuronectes 16-18,20-24 russelli 65,288-293,297-299, 301; 302~304, 305, Aplacheilichthys pumibus 421 307-311,313-322,325,327,411-414 L>enta 229-231,234,237,243,244 Bagrus docmac 273,420, 421 angolensis 229,230,232, 233, 236-242, 245 Balistes 455, 466 canariensis 229,230,232,236,237,244 capriscus 459.465 congoensis 229, 230, 232,235-245 vetula 459,466 L>iplodusbermudensis 459 BaJistidae446 L>repaneafricana 214,215,217,218,222,224-227 Barbus 420,421,423 I>repanidae 215,228 altianalis 419 . radclifji 421 Eplnephelus 440,498, see also Grouper; Senanidae Barracuda 498. 506 /uscoguttatus 432-434,436-439, 440 Big-eye, see Priacanthus guttatus 437,440 Bivalvia 16,21,24 tauvlna 440 Bluefish, see Pomatomus saltatrix &0% lucius 440 Bourgeois, see Lutjanus sebae Euthyn.nusalletteratus 446 Bream, Threadfin, see Nemipterus Flle fISh 459 Calamus 459 bajonado 459 Gatherinidae 190 calamus 459 Gazza minUla 470,473,476,477,480 Cantherhirus macrocerus 459 Gelama, see PeMahia macrophthalmus Cantherhirus pullus 459 Gerreidae246 . Carangidae324.346,411,446,498 Geryon 56 Caranx hippos 459 Geryonquinquedens42,44-46,48,51-56 Carcharhinus plumbeus 441 Gnathonemuslongibarbis421 . Carite, see Scomberomorus brasiliensis Goat fISh,see Upeneus sulphureus Carodina nilotica 273 . Grouper 172,189,192, 498, see also Epinephelus: Carp 440 Serranidae Ccntropomidae 287 Cephalopod 40,41. 173 Haemulon 459-461 Ceratophyllum 273 album 459,460 Chaetodontidae 446 jlavolineatum 459,460 Chaetodon 459 sciurus 459-462,464 Chaoborus 423 Halibut 192 Characidae 423 Halichoeres radiatus 459 Chironomid 273 H~lochromis 273,274,283,416,417,419-421 Cichlidne 192,287,416,431,426 Hogfish, see Lachnalaimus maximus Cladocera273 . Holocanthus isabelita 459 Clarias mossambicus 273, 420, 421 Holocenlridae 446 Ciupeidae 480 Holocentrus 455 Copepoda 258 Coryphaena hippurus 446 Lobeo victorianus 273,274,419-421,431

507 I

508

Lachnolaimus maxjmus 458 niloucus 272c274,283,416-419,420,421,423, Laciolatus stappersii 287 426-430 Lates 273,287 . variabilis 272, 273 Lates niloticus 272-275,277-287,416-421,426,431 Leiognathusbindus 472,473,476,478,485,487,498- Palinurus delagoae 42 505 . Panulirus argus 459 equulus 485, 487 Paranthiasfurcifer459 . leuciscus 485,487 Parrot fish, see Scaridae; Scarus gueu:amaia splendens 485,487 Pectinidae 16,24 Leiostomus xanthurus 67 Penaeidae 57,68,71,101 Lizardfish 498,506 . Penaeus no Lobster, Spiny 48,456, see also Panulirus delagoae aztecus 63,65,67,68 Loligochinensis 25-33,35-40 . duorarum notlalis 67 . d~vauceU 25-30,32-37,39-41 indicus 89-100 formosana 41 merguiensis 65,68,69,71-89 peale; 40' . monodon 100 Luyanidae 171,172,191,192,443,446,452,498 notialis 154, 156 Lutjanus grise~ 459,462.464 semisulcatus89 . . malabaricus 189 setiferus 68 purpureus 192 subtiUs 57-67 sanguineus 172,189 Pennahia macrophthalmus 141-152 . ssbae .171-174,176-180,182-190 Pentaprion longimanus 246-248,252-256, 470,473, synagris 459 476,477,480,485.487 . Perch,Nile 272,273,277-278,286,287,416, seealso Mackerel 307,310,325,345,356,371,372,384,411, Lates niloticus 481 Pike, see Esox lucius Chub, see Rastrelliger neglectus Pinnotheres 24 King, see Scomberomorus cavalla: Scomberomorus PIa-tu, see Rastrelliger neglectus commerson Pomadasyidae 446 Spanish 340,385,401,410, see also Scomberomorus Pomatomus saltatrix 400,410 brasiliensis,' Scomberomorus commerson Prawn 99,125 Metapentieopsis lOS, 119,498 Banana 71,72,87, see also Penaeus mergu/ensis Metapenaeopsis palmensis 117-125 Penaeid 67,68,116,125 . . Metapenaeus 102 White, see Penaeus setiferus: Penaeus indicus affinls 101-105, 107-116 Priacanthus 498, 506 mutatus 101, lIS . Priacanthus tayenus 485,487.498-501, 503-506 Micropogon undula/us 67 Protopterus aethiopicus 273, 274,420, 421 Mollusca 24 PseudOtolithuselongatus 156 Monnydiae 419 senegalensis 155,156,169,170 Monnyridae 420,421,423 typus 153-159,161-170 Mormyrus 274 Pseudoupeneus maculatus 459 Mormyrus I«mnume 421 Pseudo-clanilabrus bicolor 421 Mullidae 211,446. M.(7)frenatus 274 RastreUiger 307,345,371,374,384,481 brachysoma 356-359,360-370,471,473,476,478, Nasidae 190 480 Nemipteridae 126, 140 kanagurta 288,372, 374-384, 411, 412, 471, 473, lVemipterus 128-131,140,498-500,503,505 476,478,4~O,481 hexodOn 469,473,476,480 . neglectus 371,481 japonicus 126-132, 134-140,469,473,476,480, Rastrineobola argentea 416,417,420,421,423 485,487 Rastrineobola argenteus 272, 274, 283 mesoprion 499, SOl, 502 Rhinosomus triqueter 459 nematophorus 485-487 lVephrops 492 SardineUa aurita 258, 270, 271 lVotobranchius 421 eba 270,271 fimbriata 47Q,473,476,478,480,481 . Oreochromls esculentus 272, 420 gibbosa384 . leucosticus 419,421 longiceps470,473,476,478,480,481

------, .1' ';',: 509

maderensis 65,257-259,262,265-270 viridae459 Sardine307,325,384,481 . Sphyraena. see Barracuda Fringe scale, see Sardinella{imbriata Sphyraena forsteri. 506 Oil, see Sardinella longieeps Spot. see Leiostomus xanthurus Sarotherodon aureus 431 Squid498 ' Sarotherodon mlotieus 431 Indian, see Loligo duvaueeli Saurida. see Lizard fish Mitre, see Loligo ehinenm . tumbiI469,473,476,477,480 Stephanolepis hispidus 459 "undosquanUs 485,487,498-501,503-506 Surgeon fISh. see Acanthuridae Scad 65,288,292,293,308-310,324-327,333,345, Synodontis 273,274,420.421 371,411 afro{lSeheri 421 . Big-cye 345 vicloriae 421 Round, see Deeapterus maerosoma Russel's, see Decapterus russelii Talus lumifrons 24S Scallop 16-24 Tilapia 416.419-421,431, see. also Cichlidae Moon, see Amusium pleuronectes esculenta 431 Saucer, see Amusium balloti galilea 431 Scaridae 190,446.452,459,462,463 mloliea 431 Searus guaeamaia 458. 463 zillU 419.421.423.431 taeniopterus 459,463 . Traehuru.r trachurus 288 vetula 459,463 Trevally, see Pentaprion longimanus Schilbe mystus 273,420,421 Trunkfish, see Rhinosomus lriqueter Sciaenidae 141,153,170,214.216 Tuna, Yellowfm 12 Scomber eavalla. see Scomberomorus cavalla Scomberomorus 390,400.401.409 Upeneus moluccensis 485,487 bra~llensis 385.386.389,390.392-395.397.399, Upeneus'sulphureus 193-195,204-211,213,470,473, 400,409 476,477.480.485,487 eavalla 400.404.409,410.446 commerson 401,403-406.408-410 XenoclariaS 421 gllttatus 401 lineolatus 401 maculatus 385.390.392.400.409.410 regalis 446 Scombridae 372, 385. 400. 410. 411 Selar 354 boops 346-354 erumenophthalmus 288.346.354 Selaroides leptolepis 471,473.476.478,485,487 Serranidae 432, 433. 440. 446 Shark 190 Shark. Sandbar, see Carcharhinus plumbeus Shrimp 57,58-60.62,63.67-71,85.87-89,92.100- 102.105.106.110.116.117,119,125,154, 156.158,192.245.441,498 Pcnaeid 24.57.67-69.88.99.101.115.125.256 Brown 57,67,68, see also Penaeus azteeus; Penaeus subtilis Pink. see Penaeus duorarum Velvet, see Metapenaeopsis palmensis White 99 Sickle fish, African. see Drepane afrieana Snapper 172,189,192.452,498. see also Lutjanidae Blood. see Lutjanus sanguineus Emperor red. see Lutjanus sebae Sparidae 216,229.245 Sparisoma 459 aurofrenatum 459,463 e~sopterum 459,463

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Geographic Index Bataan 89,90,99, see also Philippines Batang 324, 336, see also Java Abidjan (Ivory Coast) 47 Batu Maung 142, see also Penang State Aceh 371,374.412-414, see also Sumatra BaweanIsland 308-311,314,325,326,334,413, see Aden, Gulf of 188, 189 also Indonesia 257,423,428,430 Bayas 19, see also Philippines East 6 . Beira 47,289, see also Mozambique West 2, 6, 214, 215 Belawin373,seealsoSumatra . African Banks 173,see also Seychelles Belitung 194,326,413, see also Indonesia Air Bangis 373, see also Swnatra Belize 385 Alaotra, Lake 430 Bermuda.13.455-457,459,461,465 Albatross Bank 444, 453, see also Bibundi 154,see also Cameroon Albert, Lake 273, 430, see also Uganda Island 484 . Algeria 9 Bimbia River 154, see also Cameroon Alice Bank () 444 Binaboi 373, see also Sumatra Alor 373, see also Malaysia Blossom Bank 444,453, see also Jamaica Amazon River 57 Blue River 58, see also Trinidad America. Central 385 Boa Paz 288, 294, see also Mozambique South 57, 385 Borneo 126,138, 139,369,471, see also Malaysia United States of 44, 385 Brazil 57,59,188,385,390 Amirantes Plateau 171-173,175, see also Seychelles Buahin 402, see also Trinidad Amphur Muang 117, see also Rayong Province Bulacan 89,90,99, see also Philippines Amphur Sattahip 117, see also Rayong Province 211, 256,470,472-475, see also 126, 356-358, 372, 373, 382, 383 Philippines Andhra Orissa 138, 139, see also India Burma 27,138,139,141,358 Andhra Pradesh 99, see also India Andromanche Shoal 173, see also Seychelles Calabar River 154.see also Cameroon Angoche 47,289, see also Mozambique Calagnaan 19, see also Philippines Angola 214,215, see also Africa. West Calicl1t 383, 470, see also India Antilles 453 California Bank 444,453, see also Jamaica Antonia Island 19, see also Philippines Cameroon 13,153,154,156,157,161~163,165, 167, Apo, ML 347, see also 169 ArafuraSea 188 . Cameroun River 154, see also Cameroon Asahan 374-376,381-383,412-414, see also Sumatra Campo 154, see also Cameroon Asembo Bay 274,417, see also Nyanza Gulf Cangrejos Pt. (Bamboo) 58, see also TrinidaQ 428,430 . Cap Vert 257,258,270, see also Senegal Asia,Southeast288,411,483 Caparo River 58, see also Trinidad AsidGulf 16,seealsoPhilippines Cape San Agustin 347, see also Mindanao Atlandc 44,153,216,231,391 Cape Verde 214,215, see also Senegal , see Atlantic Caribbean 2,6,385,391,401,409,440,444,455 Australia 22,117,188,189,288 Carigara Bay 16, 138, 139,256,357,469,470,473, Awach River 274, 417, see also Kenya 475, see also Philippines Camasa Island 19, see also Philippines Baganga 347, see also Mindanao Caroni River 58, see also Trinidad Bahamas 455 Ca1pentaria, Gulf of 71 (Caribbean) 444, 445 Casamance River 216, see also Senegal Bali 309,326.413, see also Indonesia Cascajal Pt. 58, see also Trinidad Bali Strait 470 Calbalogan 484, see also Philippines Baliguian Island 19, see also Philippines Cateel Bay 347. see also Philippines Ban Don Bay 101-105.107,108,111-114, see also 19, see also Philippines Thailand, Gulf of Chad Lake 273,286,430 Banda Aceh 372, 374-376, 378-384, see also Sumatra Chantaburi 27, 402, see also Thailand Bangka 194, see also Indonesia Chile 42 . Bangkok 14,402,497,499, 502, see also Thailand ChilkaLake92,seealsoIndia . Banjul 216, see also Gambia China Sea, South 309,485-487,493 Bantayan 19, see also Philippines Chonburi Province 27, 121, see also Thailand Bar de L'est 173, see also Seychelles Chumphon 27,402, see also Thailand Barrancones Pt. (pageye Pt.) 58, see also Trinidad Cilacap 69-78, 82-84, see also Java

510 I ,t , S11

Cirebon 194,309,326,413, see also Java Hanover 444,453, see also Jamaica Clarendon 443,453, see also Jamaica Henry Holmes Bank 444,453, see also Jamaica

Cochin 2, 3, 383, see also India Hirtshals 2-6,9, seealsoDenmark ' 445 Homa Bay 274, 417, see also Nyanza Gulf .. Colombo 372, see also Sri Lanka Homa Pt. 417. see also Kenya Compostela 347, see also Mindanao Honda Bay 473. 475,'see also Palawan

Congo 45,153,154,268,270. . (Caribbean) 444 . ' Congo River 154, 167, see also Congo Hongkong 138,139.401 Constance Bank 173, see also Seychelles Com Island (Caribbean) 444 ldi 373, see also Sumatra Colabato 347, see also Mindanao Igbon Island 19. see also Philippines Couva River 58, see also Trinidad Deaux Vaches 173, see also Seychelles

nIanaBay 471.474,475 ' Dakar 13,214-216,257, see also Senegal India 2.3,39.89.91-99.101.114.383.401.470,471

Daliao 347, see also Davao IndianOcean 2, 6. 70. 172.288.309,373,409 " Davao 346,347, see also Mindanao Indonesia2. 14,69, 141,193,211,246.256.308,,324. 346, 348-354, see also Philippines 372.374,375.381.383,411.412 Denis Island 173. see also Seychelles Indo-Pacific440 Denmark 2,3,13-15 Inhambane47,289, see alsoMozambique

Deroche Island 173, see also Seychel1es Ipoh 373,see alsoMalaysia '

Dcsnoeufs Island 173, see also Seychelles ' Italy 13.15 ' Digos 347, see also Mindanao Itasy, Lake 428,430 Qjibouti (Ethiopia) 188,189 Don Sale 102, see also Thailand lakarta 14, 194,252,309.326.413. seealsolava Doong Island 19, see also Philippines . ,lamaica 13.443-453,456,465,466 Douala 153. 154, 156, see also Cameroon lapan 288 Dumai 373, see also Sumatra lava 193,194.211,246,248,252-254.308,926,324. Dungs 274, 417, see also Kenya 325, see also Indonesia D'Arros 173, see also Seychelles lava Sea 69-71.80,82,193-195,209.246,255.256, 308,309,315,317,320,322,324,325,327. Egypt 383 328,335,340-345.350.372.382.383.411. 413.470.471 FloresSea 309 libitnil Island 19, see also Philippines Florida 390 1ilantangan Island 19, see also Philippines . >.. FormigasBank 444,453,seealsoJamaica lintotolo Channel 19, see also Freetown 13, see also Sierra Leone ' loal 216,257-259.see alsoSenegal ' FrenchGuiana 57,59,63,66 lohor 373. see also Malaysia lose Abad Santos 347, see also Mindanao Gambia 216,258 luana 324.336, see also lava Gambia River 216, see also Gambia Gandiole 216. see also Senegal Kabakan 347. see also Mindanao General Santos 347, see also Mindamio Kagera River 416, see also Tanzania Gigantangan Island 19. see also Philippines Kainy.Lake 430 Gigante. North 19, see also Philippines Kalambau 309,326. see also.Indonesia Gigante. South 19, see also Philippines Kalimantan 194,309.326,413. see also Indonesia Gilberte Shoal 173, see also Seychelles Kaloka 274.417, seealsoKenya ' ' Glan 347. see also Mindanao Kampuchea27 ' Golpapur 92, see also India Kangean 309, see also Indonesia Gombong 70, see also Java Kano 421. see also Kenya Governor Generoso 347, see also Mindanao Karimun Java Island 308,,309,314.325.334.413.

Grappler ijank 444,453. see also Jamaica 414,seealsoIndonesia ' ' Great Barrier Reef 188.see also Australia Karwar 383, 470, see also India 19,469-475, see also Philippines Kavieng 437, see also Papua New Guinea Guinauayan Island 19, see also Philippines Kayar 216,see alsoSenegal , Guinea Bissau 258 Kedah State 126. 127, 129-132, 138. 139, 141..143,' Guinlacan Island 19, see also Philippines 373. see also Malaysia Guiuan 432-434, 436, see also Samar Kelantan 373, see also Malaysia Kendu Bay 274. 417, see also Nyanza Gulf

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.\~, ".I - " 512

Kenya 2,13,273,283,284,416,419-421,426 also Malaysia Kiamba 347, see also Mindanao Malapascua Island 19, see also Philippines Kibos River 274,417, see also Kenya. MalayArchipelago 117 . Kidapawan 347, see also Mindanao Malaysia 2.126,127.129-131,134,136-139,141-152, Kingston 2, 13,445,453, see also Jamaica 358,369,372.382,383,401.412 Kisumu 13,274,417, see also Kenya Malita 347. see also Mindanao Kor Chuang 117, 121, see also Rayong Province Manappad 89,91,93-99, see also Tinnevelly Korodal 347, see also Mindanao Manay 347, see also Mindanao Kota Baham 373, see also Malaysia Manchester 444, 453. see also Jamaica Krabi 357, 358, 373, see also Thailand Mangalore 101. 114. see also India Kribi 13, 154, see also Cameroon Manila 2-6, 90, see also Philippines Kuala Kedah 127-132, 142, see also Kedah State Manila Bay 89-99, 138, 139, 150, 152, 318, 344, 357. Kuala Lumpur 142, 373, see also Malaysia 369, 469-475. 480~see also Philippines Kuala Lipis 373, see also Malaysia Mantasoa, Lake 430 Kuraburi 373, see also Thailand Manzala, Lake 430 Kusa 417, see also Kenya Maputo 13,47.289. see also Mozambique Maqueda Bay 469,471,473-475, see also Philippines La JunonBank 173,8" alSDSoychoUol Marje Louise Istond 173.see also Seychel1es Labas Lake 347, see also Mindanao Mariout,Lake 430 Labuhan Haji 373, see also Sumatra Masalembu 308,309,314,325,326,334,413,414, see Laem Chabung 121, see also Chonburi Province also Indonesia Laem Yah 117, 121, see also Rayong Province 19. see also Philippines Lagos 154, see also Nigeria Mata Sirl 308. 309. 314, 326,413, 414. see also Lambwe River 274,417, see also Kenya Indonesia Lamigan PL 347, see also Mindanao Mati 347. see also Mindanao 347, see also Mindanao Matumtum, ML 347, see also Mindanao Langkawi Island 126, see also Malaysia Mauretania 214.244,257,258, see also Africa, West Langsa 373, see also Sumatra Mayo Bay 347, see also Philippines Lari-larian.308,309,313,314,322,326,413,414,see Mbita 274,417, see also Kenya also Indonesia Medan 373, 374, see also Sumatra Laut 309,413, see also Indonesia Mexico, Gulf of 57, 385,409 Leba 347, see also Mindanao Mindanao 19,346, see also Philippines 19,484, see also Philippines Mindanao River 347, see also Mindanao 469-471,473.-475 Miriu River 274, see also Kenya . . Lhok Kanet 373, see also Sumatra Misori 274, see also Kenya Lhok Seumawe 373, see also Sumatra Misteriosa (Caribbean) 444 Limbe 153, 154, see also Cameroon Mogus River 274.417, see also Kenya 16,21-24, see also Philippines Molocaboc Island 19, see also Philippines LisasPL 58,seealsoTrinidad . Mombasa 2, 5. see also Kenya Lombok 309.326,413, see also Indonesia Morant Bank (Cay) 444.445,453, see also Jamaica Luanda Kotieno 286, see also Kenya . 347, see also Philippines Luanda Naya 274. see also Kenya Mosquito Cay (Caribbean) 444 Luzon 19, see also Philippines Moussa Hydrodome 430 Lwanda Gembe 274, see also Kenya Mozambique 13,42, 44-48, 51. 52, 56, 65, 288-292, 305,306,318.383,471 Maca Reef 19, see also Philippines M'Bour 216.257-259, see also Senegal Maca Shoal 19, see also Philippines Mackerel Bank 444, 453, see also Jamaica Nabunut Island 19, see also Philippines Madagascar 47 Nacala 47,289, see also Mozambique Madura 309.326, see also Indonesia Nagas PL 347, see also Mindanao Magonoy 347. see also Mindanao Naia Bay 417, see also Nyanza Gulf 347, see also Mindanao Nakhon Si Thammarat 27, see also Thailand Mahe Island 13,172,173, see also Seychelles Nasser. Lake 430 Mahe Plateau 171.177,183-191, see also Seychelles Ndere Island 417. see also Kenya 322,325, see also Indonesia Negri Sembilan 373, see also Malaysia Malabar 470, see also India Negros 19, see also Philippines Malabo (Fernando Po) 154,see also Cameroon New Bank 444,453, see also Jamaica Malacca 141,150,356,372-375,380-383,411,see Ngegu 274, see also Kenya

"'------____+__u______._ _u_ _ +...-

' t ..0_0 . " ..,-.

513

Nicaragua444 Pran Burl 26-31,39, see also Prachuab Khiri Khan Nigeria 153,154 PrasliriI La DigueIsland 173.see alsoSeychelles Nile River 416 ProvidenciaIsland(Caribbean)444 " . North Island 173, see also Seychelles Punnaikkayal 89,91.93,95-99, see also Tinevelly Nusakambangan 70, see also Java Pusan PL 347, see also Mindanao Nyador 417, see also Kenya Nyakach 417, see also Kenya Queensland 23, see also Austtalia Nyakach Bay 274, see also Nyanza Gulf Quelimane 47.289. see also Mozambiqu~ Nyando River 283, see also Kenya Quita Sueno Bank (Caribbean) 444 Nyanza Gulf 272-274,276,279,282,286,416,417, 419.421,423-429, see also Victoria, Lake 211.470-475. see also Philippines Nyong River 154. see also Cameroon Ranong 358, 373, see also Thailand Nzoia River 283, see also Kenya Rapazallos Pt. (Los Payol) 58. see also Trinidad Rayong Province 15,27,117,118,121,123,124,402, Obaria 274, see also Kenya see also Thailand Orange Valley 58-60. 62, 66, see also Trinidad Recife 188, see also Brazil Orinoco River 57 188, 189, 383, see also Aden, Gulf of Otaheite 58-60, 62, 66. see also Trinidad Rembang 194, 324, 336,'see also Java Owen Bank 173,see also Seychelles Remire Island 173, see also Seychelles Riau 373. see also Sumatra 288 Rio del Rey 154, see also Cameroon Pahang 373, see also Malaysia Rio Grande do Sui 385, see also Brazil Pakan Barn 373, see also Sumatra Roberts Bank 173, see also Seychelles Palawan 344,383.470-475, see also Philippines Roncador Bank (Caribbean) 444 Pampanga Bay 90, see also Philippines Rosalind Bank (Caribbean) 444 Pan de Azucar 19, see also Philippines Ruftsque 216. see also Senegal

Panal Reef 19. see also Philippines , Ruri Bay 274, see also Nyanza Gulf 19, see also Philippine ~usinga 417. see also Kenya Pangkor Island 142.373, see also Perak State Papua New Guinea 436. 437 Sabah 126 Papua, Gulf of 81 Sahrdiyat 402, see also Thailand Paria, Gulf of 57-60,62.391. see also Trinidad Salmon Bank 444, see also Jamaica Palha10ng 373, see also Thailand satoum 216. see also Senegal (Cay) 444-446, see also Jamaica Samali 347, see also Mindanao , , Pekalongan 194,308-311.314,315.324-326.328, . Samar 432-434,436,484, see also Philippines 334-336,342,345.413, see also Java Samar Sea 138,139,205,211.256,357,369.383, Pemba 47.289. see also Mozambique 469-475,482-491 Pcnang State 2.14.127, 128, 134. 136. 137. 14~-145. SamberGelcng 309.326.413.414, see also Indonesia 147,373,seealsoMalaysia . Samber Gelop 309. 326. see also Indonesia Penanjung 70, see also Java Samui Island 102.see also Thailand Perak State 126, 127, 141,142. 145. see also Malaysia Samut Prakan 402, see also Thailand Petchaburi 401, see also Thailand Samut Sakhon 27. 402. see also Thailand Phaluri Island 102. see also Thailand Samut Songkhram 402. see also Thailand Phangan Island 102, see also Thailand San Andres Island/Archipelago (Caribbean) 444,445 Phang-nga 357,358, see also Thailand San Fernando 58-60, 62. 66, see also Trinidad Phetburi 27, 402. see also Thailand San Miguel Bay ISO, 152.211.470,473,475, see also 347 Philippines

Philippines 2.3.14-16,18,23.24.89.90.94-99.138. Sanaga River 154.see also Cameroon ' 139,141,150,152,211,256,305,325,350, Sango 274,417, see also Kenya 351,353,354,357,401,432-434,436,440, Sarangani Bay 347, see also Philippines 468,469,472,473,475-480 Sarawak 126 Phuket 2.15.357.358.362.372, see also Thailand Satun 357,358.373. see also Thailand Pointe Noire 154, see also Congo Savonetta Pt. 58. see also Trinidad Poivre Island 173. see also Seychelles Seagul1Shoal 173,see also Seychelles' Port-of-Spain 2, 13. 58, 386, see also Trinidad Segara Anakan 70.87. see also Java Port Royal Reefs 444. 453, see also Jamaica Selangcor373,seealsoMalaysia . Portland 444. see also Jamaica Semarang 2,70. 194,252.309,326,413. see also Java Prachuab Khiri Khan 25-27,29,402. see also Thailand Seme 417, see also Kenya

-- -- . '

514

Senegw 13,65,214-216,218,224-227,257-259,266- Teluk Penyu 10, see also Java . 270,se.ealso Africa. West . Thailand 2, 14,26-28, 101,102,141,142,344,356- . Senegw River 216, see also Senegw 370,372,383,406,412,493,497,499,502 Senegambia, see Senegw: Gambia Thailand,Gulfof 25,26,30,33-38,40,87, 101,102, . ~eremban 373, see also Malaysia 117,121,368,369,373,471,493,497-504 /Cay (Caribbean) 444,445 Tiberias,Lake 430 Semmo Bank (Caribbean) 444 Tigak Islands 436, see also Papua New Guinea Seychelles 13,171,172, 178, 183,187-190 Tinnevelly 89,91, see also Tamil Nadu' Shark Bay 23, see also Australia Tobago 13, 391, see also Trinidad Siboga 373, see also Sumatra Topaze Bank 173, see also Seychelles Sicogon Island 19, see also Philippines Trang 35-7,358,373, see also Thailand Sierra Leone 13, 229-231, 239, 245 Trat 27, see also Thailand' Silouette Island 173, see also Seychelles Trelawney. 444, 452, 4J53, see also Jamaica Sindo 274, see also Kenya ~inidad 13,57-61,66,67,385,386,390,391,393, Singapore 401 394,401,403-405,408, see also Tobago . Sithan Marat 373, see al$o Thailand Tulunauan 19, see also Philippines SofalaBank 288,291,292,294,297-299,301,304, 306,see alsoMozambique . lJganda 286,416,421 Sondo River 274,417, see also Kenya lJsare 274,417, see also Kenya Songkhla 402, see also Thailand . lJsoma 274, see also Kenya Sri Lanka 372 lJyoma 417f seealsoKenya St. Andrew 444, 453, see also Jamaica SL Ann 444,453, see also Jamaica Vanuatu 188, 189 SL Catherine 443, 453, see also Jamaica Venezuela 57,391 SL Elizabeth 444,453, see also Jamaica Versova 101, see also India St. James 444,453, see also Jamaica Victoria,Lake 272-274,277,278,282,283,286,416. St. Joseph Island 173,see also Seychelles 423,427,429, see also Kenya SL Louise 216, see also Senegal Vigilant Shoal 173, see also Seychelles SL Mary 444,453, see also Jamaica Visayan Sea 16-23,470-475, see also Philippines SL Thomas 444,453, see also Jamaica . Visayas 19,seeal$oPhilippines . Sta. Cruz 347, see also Mindanao 347, see also Mindanao Wwton Bank 444,453, see also Jamaica 347, see also Philippines WestIndies 385 . Sumatera, see Sumatra Westmoreland 453, see also Jamaica Sumatta 194,309,325,326,344,373,374,383,412, Wimpey 58, see also Trinidad 413,seealsoIndonesia . Sumbawa 309,326,413, see also Indonesia Ywa 417, see also Kenya Surabaya 309,326,413, see also Java Yala River 283, see also,Kenya Surat Thani 27, 101, 102, 373,401,402, see also Yogyakarta 70, see also Java Thailand' . Suriname 66 Zambesi River 288, 294, see also Mozambique Swan Island (Caribbean) 444 Swan Show 173

Tagdalit, ML 347, see also Mindanao Tagubanhan Island 19, see also Philippines Tagum 347, see also Mindanao Takuapa 358, 373, see also Thailand Tali1cud347, see also Mindanao Talomo 347,seealsoDavao' . . . Tamil Nadu 95-99, see also India . Tanguingui Island 19, see also Philippines Tanon Sttait 19, see also Philippmes Tanzania 421 TapakTuan 373, see also Sumatra Tchad, Lake, see Chad Lake . Tebing Tinggl 373, see also Sumatra Tegal 194,336, see also Java

"'------.\

Author Index Birkett, L. 174,177.190,192 Bishop.1. 63, 67 Achieng. A. 273 Blache, 1. 431 Acere.T.O. 286.431 . Boely. T. 257,270. Agasen. E.V. 89 Bocrema 71 Ahmad. A.T.B. 141 Boonraksa, V. 354; 356, 369. 371,499. S06 Aiken. K.A. 443.454 Boonvanich, T. 499.506 ..:. AIcantara-Filho. P. de 394.400 Borges, F. 294,306 AIlen.G.R. 172, 173. 191.215,228 Boucher. G.C. 57.67 AIlen. K.R. 437.440 . BOukatine,P. 244,74S Andersen. K.P. 482. 492 . Bourne, N. 16. 24 Anderson. A.M. 273. 286 . Bravo. S,A.- 89, 100 . Annigeri. G.G. 101. 114. 116.470.481 Brey, T. 4.5,11.220.222,228,235.245,290-292, Anonytnous 189.325.344.345.369.371.382 297,298,300,306 Antony-Raja. B.T. 470.481 Brinca, L. 48,56,290.294.299,307 Aprieto. V.L. 16.17,22,24 Brouard. F. 188, 189, 192 Armada, N.B. 483.492 Brown, H.H. 385,400 Asila, A.A. 48, 177. 272. 386 Brusher, H. 89,99 ATI.ANTN1RO 244,245 Buddemeier, R.W. 24 Atmadja. S.B. 324, 345, 383. 384. see also Banon. S. Budihardjo, S. . 193,247 Averim. B.S. 294,306 Bureau of Fisheries and Aquatic Resources 346,355. Azov- Research Institute of Marine Fisheries Burkeland, C.E. 24 . and Oceanography 174.177.191 Caces-Borja, P. 299.307,480,481.. Badrudin. M. 193.194.211.213,247.256 Caddy, J. 35,40, 192 Bngenal. T. 441 Cadenat.1. 214,228 Bambino. C. 177-179.192.431 Cadwalladr, D.A. 419,431 Banelji. S.K. 383.384,470.471.481. Caillouet, C.W. Jr. 57,67 Bannasopit. T. 25.40 Caputi. N. 16, 23, 24 Banon,S. 193.211,213.246.256.309,323.470. Carlsson.D. 437,440 . 471.481, see also Atmadja. S.B. Carrara, G. 50. 161, 171, 173, 174, 191, 192,286,299 Baptista,I. 89.99 Cayre, P. 42,44-46. 56 Baranov, F.I. 482.492 CECAF 229,243.244,245 Barger. L.E. 401.409.410 Chabanne. J. 257,270 Barret. B.B. 57.67 Chaitiamvong, S. 101, 104, 110. 115 . Baxter. K.N. 57.67 Chan, W. 437.440 Programme 381.383.384 Chayakul, R. 401,407,410 Bayagbona. E.O. 154, 169 Cheunpan.A. 390.410 Ba. A. 244. 245 . Chiu. T.S. 498. 506 Beardsley. AJ. 455.467 Chotiyaputta. C. 25,40.401,407,410 Beck. U. 193. 194.211.213. 256 Christensen. J.M. 1 Bell.F.H. 180.192 . Chuck, L. 445,454 BenTuvia.A. 431 Chullasom, S. 369.371.401.407,410.499,503.506 Benda.R.S. 273.286.287.431 CIFA (CommiUee for Inland Fisheries of Africa) 431 Bennet.P.S. 470.481 CJocm. J.E. 219.228 Bergstrand.E. 431 Cochran. W.O. 128. 140. 145. 152 Berry.R. 57.67 Collette, B.B. 385.400.406,409,410 BertalanffyL. yon 19.270 ColJinson.RJ. 431 Bevcrton,R.1.H. 7.11.71.88.133.140.146.152. Conand. F. 172.174.192 160.168.169.191.245.273,286.292.302.306. COPACE 228 315.322,353,355.358,371,388.400.431.457. Cordone. AJ. 273,287,431 466.468.481.482.485.492 . Corpuz. A.B. 138-140.211,213. 2S6. 369. 371, 383. Beyers.C.1.de B. 42.44.46, 52 384.469-472,481.487.492 . BhatC.H. 383.384.471.481 Coulter. G.W. 287 Bhattacharya.C.G. 5.7. 11,48.56.60.63.67. 160, Council. K.A. 413,415 170.177.192.218.228.276.287.306.337.345. Cristo. M. 48, 56 389.400,431 . Crocos.PJ. 65.67 Bianchi.G. 150,152.191.228.307.410 Crowe. A. 63. 67

SJS

- --- I .r .

516

. Cushing, D.H. 294,307,441 Gee,I.M.273,287,431 George,K. 383,384,471,481 Dall, W. 117,125 'Gerking,S.D. 441 Dalzell, P. 383,384,475,481 Getabu,A. 416 Data Bank and Bvaluation Division 445,454 Gheno,Y. 270 David, N. 7,12,17,24,26,41, SO,51, 56,133,140, Gilbert,M.P. 431 160,170,177,192,218,228,262,271,345,350, Gillespie,M.C. 57, 67 355,357,371,469,481 Gislason,H. 294,306 de Moussac 173 Gislason,M. 383,384,471,481 Del Mundo, C. 89, 99 GjcJIsaeter,I. 290,299,305-307,318,323 Del None, A.G:C. 16, 17,21-24 Gomez,B.D. 24 Department of Fisheries, Thailand 497,499,502, S06 Graham,M. 272,273,287 Devaraj, M. 401,410 Gmndperrin,R. 188,189, 192 Devi, L.S. 89, 99 Grey,DoL.117,125 Dias, C.A. 44,45, 56 Outland,J.A. 5,7,11,16,21,23,24,71,88,92,99, Dickie, L.M. 433,440,441 102,115,116,125,160,170,172,174,177,185, D1rektorat Jenderal Perikanan, Dopartemen Penanlan 192,204,213,232,245,287,323,337,345,388, 308,322 . 400,468,481,482,486,492 Dizon,L.B. 12, 140,192,323,355,371,384,431, Gwyther,D. 71,81,88 492 Djama,T. 153 Habe,T. 16,24 Domain,F. 214,216,227,228 Haefner,P.A.lr. 44, 55,56 Ih3govich,A. 57,67 HallA. 385,400 Dredge,M.CL. 16,23, 24 Hamblyn,BL. 273,287 Druzhinin,A.D. 172,192 Hamley,J.M. 394,400,404,410 ~ponggo,A. 193,194,211,213,246,247,256, Hammer,C. 205,213,483,492,485-487 470,471,481 Hanlon,R.T. 39,40 Dy-Ali,B. 346,367 Hardenberg,J. 309,323,325,345 Hariati,T.193,211,213,246,256,470,471,481 Bd~,RjR.C. 188,192 Hartsuijker,L. 455,456,465,466 Eggleston,.D. 126,140 Hasselblad,V. 386,400 ~-anf,M. 485,487,492 Haugh~n,M. 443,453,454,456 BlZarte,S.431 Hayase,S. 102,116 Heald,D.I. 16,23,24 Fable,W.A.Jr. 401,409,410 Helwig,J.T. 413,415 Fabres,B. 57 fUgh,WL.455,467 FAO 39,40,431,452,454 fUll,BJ. 67,68, 115 FederalFisheriesService 154,170 Hixon,R.F. 39,40 Federizon,R. 480,481,483,492 'Holden,MJ. 323 Fernandez Bo,see Sousa, M.I. Holthuis,L.B. 125 Fischer,W. 150,152,191,228,246,256,307,344, Holt,SJ. 5,7,11,23,24,71,88,133,140,146,152, 355,410,440 160,168-170,177,191,192,245,287,292,302, FisheriesDivision 445,454 306,315,322,323,337,345,353,355,358,371, Fonteles-Filho,A.A. 188,192,394,400 386,388,400,431,457,466,468,481,482,485, Fox,P.468,469,473,475,480,481 492 Fox,W.W. 7,11,105,110,115 Hongskul;V. 369,371,471,481 Fr~n, P. 257,259,270 Hopson,AJ. 273,286,287 Homell,J. 470,481 Gabml-Llana, M.A., see Llana M.B.G. HosiJIos,L.V. 12,140,192,323,355,371,384,431, Gales, L.B. 482, 492 492 Ganaden, R.A. 383,384..475,481 Hoydal,K. 457,467 Ganaden, S.R. 468 Hulet,W.H. 39,40 Garcia, S. 57,59,63,66,67,71,88,110,115,192 GMrod,DJ.431 ' Ingles,J. 17,24, 101,104,lOS,116,125,133,138- GaschOtz,G. 219,228 140,150,152,211,213,262,270,288,299,307, Gaut,Y.C. 455,467 318,323,324,344,345,350,354,355,357,369, Gayanilo,F.C.Jr. 4,5,12,160, 170,177,192,220, 371,383,384,401,409,410,469-472,481,499, 228,264,271,29~293,298,304,307,431 506

------.1 ; 517

Inles, A. 42, 44-46, 56 Maclean. J.L. 12.140,192.323.355,371,384,431. Isarankura, A. 233, 245 492 Ivlev, V.S. 433,440 Magnusson, J. 299,307 Mahyam Binti Mohd. Isa 126. 142 Jensen, K.W. 431 Mainga, O.M. 431 Jobling, M. 433,440 Manimaran, C. 89.91.93.94,99 Johannes, R.E. 24 Manisseri. M. 89.91.93.94,99 Johnson, A.G. 401,409,410 Mann. K.G. 432,441 Johnson, L. 435,440 Manooch. C.S. III 385,400 Jones, A. 57,67,229 Manprasit, A. 25,40 Jones, R. 12,26,33,40,50,56, 138, 140, 180, 191, Marchal, E. 172-174,189.190.192 192,229.235.241.242.245,285,287.402,407. . Marr.J.C. 371,481 410,435,441,482.485,487,492 Marsh. J.A. Jr. 24 Jothy, A. 126, 138, 140 Marten. G.G. 431 Julien-FlUs.M. 50,235,385,401,409 Martosubroto, P. 69,70.88.233.245.355.485.487, 492,499.503,506 Kapetsky, J. 431 Mbahinzireki, G.B. 431 Katunzi, E.F.B. 431 McPherson, G.R 188, 189, 192 . Kimura, M.C.S. 177,192 Medved, RJ. 433.441 Kirkwood, G. 71,88 Meemeskul, Y. 406.410,432,483,485.487..492. Klima, E.F. 390,400,409,410 493.499.506 ~I 273,286,287 Menasveta, D. 493,499,506 Kongere, P.C. 273, 287 Merona; B. de 177.192 Kongmuag.K. 25,27.36.40,41 Mines, A.N. 17, 24, 480. 481 Kopinski, B. 16,24 Minkler. F.C. 63.68 Krishnamoorthi, B. 126, 138-140 Mohamed, K. 89.99. 101, 116 Kuckyr, R. 63, 67 Moreau. J. 177-179,192.431 Kudhongania, A.W. 273,287,431' Morgan, G.R. 4. 11. 12.270 KUnzel,T. 174,189,190,912 Morton, B. 16.24, 140 Kurogane, K. 369,371 Mullen, AJ. 433,441 Kurup. N.S. 101. 114. 116 Muller, R.O. 273.287.431 Mulyadi. E. 194,246 Lnblache, G. 50, 161. 171, 173. 174, 191. 192.286, Munoz, J. 480,481 299 Munro,I.L. 2,7,12,20,22,24,40.41, SO,56. 81,88. Le Guen. J .C. 270 92,100,114,116.138,140.152.170,172,178, Le ResIe, L. 59, 63. 66. 67. 71, 88 185.19.2,256,263,265.271,286,287.318,323. Lebrun, E. 57,63,66,67 337.345.386,390,400.409,410,437,441.444- Lee C.K.C. 126. 138-140 446,452.454-457,461.463-467,469,481,486. Lemoine. M. .57. 63. 66, 67 492 l;homme,F. 60,67 . Murphy, G.I. 56,100,228,256,371 Liu, H.C. 498, 506 Murray, H.E. 42.44-46,56 Llana, M.B.G. 16,22,24 Musick, I.A. 44, 56 Loeuff, P. Ie 42, 44-46, 56 MUlhu,M.S. 383, 384 Loesch, H. 63, 67 Lohakam. N. 437, 440 Naamin, N. 69-72,81,88 Longhurst, A.R 153, 1'54,170,214,228,245 Nageon.l. 174.192 Lopez,J.259,270 Naidu, M. 470,481 Losse, G.F. 193,213 Nair,R.V.470.481 LOwenberg, U. 174.189,190,192 Nakamura, E.L. 385.400 Nationalkomitee fUrGeodaesie und Geophysik bei der Lowe-McConnell, RH. 272, 287 Akademie der Wissenchaft der D.D.R. 45,47, 56 Lowsawatgoon, S. 101,115 Naughton,SJP.392,393.398,400.401.404,410 Lucas, C. 71.88 Navaluna. N.A. 17.24 Luckhurst, B. 456,465,466,467 Neal, R. 17,24,87.88.101,104,105.116.125 Luther. G. 381-384,471.481 Nembhard, B. 445.454 Nicholson. W.B. 455,456. 465. 467 MacDonald, P.D.M. 219. 228 Nichols, F.R 219,228 Machado. J.F.S. 44,45.56 Nomura, H. 390.400,409,410

~-- .1 .;.

518

Novoa, D. 57, 68 Richards, A.H. 436, 441 Nurhakim, S. 309,323, 325, 344, 345 Ricker, W.E. 350,355,357, 371, 468.481.48~, 486, 492 . Obeng, L.E. 287 Riedel, D. 394,400 Ocenodongo, DL. 431 Roedel, P. 12,245,492 Odero, N. 273, 287 Ronquillo,I.A. 89,100,299,307,480,481 Ogari, J. 48,177,272-274,287,386,431 :ROrvik,C. 457, 467 Okaronon,J.O. 431 Rossignol, M. 270, 271 Okedi, J. 273,287 RothUsberg,P.C. 67, 68, 115 Okemwa, E.N. 286,287,431 Rothschild, BJ. 24,116,125 Olddi, C.O. 287 Russo, J.L. 385,400 Ommaney, F.D. 174, 192' O'Connor, M. 88 Sadhotomo,B. 246,2S5,256,309,323,325,344, 345,383,384 . . Pachansalarli,D. 384 Saeger,J. 4,5,12,138-140,160,170,177,192,211, Pagdi1ao,C. 432-434 213,220,228,233,245,256,264,271,290-293, Paloheimo,J.E. 433,440,441,468,481 298,304,369,371,383,384,431,469-472,481, Palomares,M.L. 193,211,213,246,256,432,437, 483,485,487,492 440,441,470,481 Saette,R. 293,307 Parrack,M.L. 65, 68 Sahney,A. 445 PatOlot,J.N. 17,24 Saila,S. 12,245,492 PaulaE. Silva,R. de 42,44, S6 Sainsbury,K. 483,486,492, 498,506 Paulik,GJ. 482,492 SallOnmar 244,245 Pauly;D. 1-5,7,9,11,12,17,20-22, 24, 26,40,41, Saloman,C.H. 392,393,398,400,401,404,410 50,51,53,56,81,87,88,91-93,100,101,104, Sambilay,V.C.Jr. 138-140,205,211,213,256,369, 105,114,116,125,126,133,137-140,146,147, 371,383,384,469-472, 481,483,485-487,492 150,152,154,160,170,177-180,188,192,193, Samb,B. 257,325 204,208,211,213,218-220,222,223,228,232, . Sann Aung 138-140 233,235,239,244-246,252,253,255,256,262- Sardjono, I. 246, 256 . 265,269-271,285-288,290-293,297-300,302, Schaefer, M.B. 7,12 306,307,315,318,320,323,325,337,344,345, Scott, W.B. 228 350,351,354-355,357,358,364,369,371,376, SCSP 288, 307 . 378,379,383,384,386,388,390,400-402,407, SE~EC 485,487,492 409,410,431,433,435,437,440,441,447,454, Sekharan,K.V. 293,307,383,384 468-472,480,481,483,485,487,491.492,499, Sen~,T. 126,140,172,173,191 506 Seshappa, G. 383,384,471,481 Payne,AJ. 431 Shindo, S. 102, 116 Penn,J:W. 63,68 Silva R. de P. 293, 307 Persson,L. 433,441 Silva, C. 48, 56 Pett, T. 431 Silvestre, G.T. 205,213,432,480,481-483,485-487,. Pimoljinda,J. 357,371 . 492, 50S, 506 Pinto,L. 480,481' Simpson, A.C. 255, 256 PilCher,TJ. 219,228 Sims, S.E. 4,218,228,262,271 Poinsard.F. 154,170 Singtothong 117,125 Polovina,J.J. 191.192 Sinoda,M.483,485,487,492,493,506 Postel,E. 258,270,271. Smith-Vaniz, W.P. 288,307 Promsakha, V. 105, 116, 119, 125,498, 506 Snedecor, G.W. 128, 140, 145, 152 . SoemartO 309,323 '~shnan,N. 470,481 Somers, I. 71, 88 RaCaU,S.z. 383, 384 Somjaiwong, D. 369,371,'471 Raitt, D.F.S. 323 Sommani,P.,S06 . Ralston. S. 189, 191, 192 Soriano,ML. 4,7,12,133,137,140,146,152,309, Ramammthy, S. 101, 114,116 315,322,323,325,353,355,358,364,371,316, Randall, J. 437,440 377,383,384,411,432,482,483,491,492,505, Rao, A.V. 89,92, 100 506 . Rao, B.N. 383, 384 Sousa, M.I. 11,288,290,294,299,305-307,318, . Ratana-arlan, T. 25,39,41 323,383,384,471,481 . Reeson, P.H. 455,467 Sow, I. 259,270

L __ ,I, 519

Sp~,P. 2-5,7,9,12,17,24,26,41,48,50,56,104, Watanabe, Y. 483,485,487, 4n, 493, 506 105,116,118,125,140,146,152,168,170,177, Weber,W. 126,138,140,174,189,190,192 19~218,247,256.262.276,287,290,357,358, Welcomme,R.L. 272,287,431 . 371..387,400,457,467,495,506 , Welherall.J.A. 5,7,9,12, 17,20,24,26,41,50,53, Srimangchecp, U. 369,371,471,481 56,81,88,91, 100, 105, 116, 133, 140, 146, 152, Ssentongo, G.W. 431, 160,170,235,245,315,318,323,337,345,350, Staples, D.J. 63,65,67,68,115 355,357,371,376,378,384,388,400,441' Staurt-Sharkey, P. 455,466,467 ,Wheeler,J.F.G.' 174,192' ' Steinberg, R. 174,177,192 Whitehead, PJ.P. ISO, 152,246,256, ,3$5,440 Slequert, B. 172, 174, 192, 257, 270 WhiteleaUter, R.T. 385,400

Slevenson,D.K. 455,456,467,496 , , Wickham,D.A. 63, 68

Stunn,M.G. deL. 385-387,389,390,392,395,396, ' Widodo,J. 4,288,308,309,322,325,377,383,411

398,409,410 ' , Wigley, RL. 42,44-46,56 Sucondhannan,P.369,371,471,481 Wilke, C.G. 4~ 44, 46, 56 Sudhakava, G. 383, 384 Williams, D. Me B. 437,441

Sudjastani, T. 369,371,381-384,471,481 Williams, MJ. 16,23,24 ' Sudradjat, A. 193, 194,211,213,256 Wllliams,M~ 401,409,410 -Sumiono, B. 69 ' Winberg, G.G. 432,441 Supongpan,M. 25-27,30,31,33,36,39-41,407 Windell, J.T. 432,441 Sutlhakorn, P. 357, 371 Wolstenholme, G.B.W. 88 Suwaso 333, 345 Worthington, B.B. 273,287,431 SyUa,M. 259,270 Worthington, S. 431 Wright, A. 436, 441 Tampubolon, G. 4,309,322,325,372,377,383,411

, Tandog-EdralinD. 468 Yaftez-Araneibia, A. 88 Tnntikul, S. 117, 125 Yasuda,H.239,244,245 Tantisawetrat, C. 369,371,471,481 Yohannan, T.M. 471,481 Tan, S.M. 483,485,487,492,493,506 Yoo-Sook-Swat, S. 102,117 Tan, K.S. 126, 140 Tarbit, J. 173,174,183,187,189,190,192 Zalingc, N.P. van 50,56, 192,235,241,242,245 Temming, A. 433,441 Zavala Camin, L.A. 385, 400

Thniprayoon,S. 101,104,110,115 ' Theroux,R.B. 42,44-46, 56 Thinm,D. 4, 12,SO,214,218,228,235,262,271 Thompson,R. 172,185,192,444-446,452,454,486, 492 Thompson,W.F. 180,192 Thublhimsang,W. 101,116,117,125 Tiews, K. 89,100,299,307 Torres,F. Jr. 205,213,483,485-487,492 Trent,L. 392,393,398,400,401,404,410 Troadee,J.P. 154,170 Tsuda,R.T. 24

Udupa,K.S. 384,471,481 Ursin,E. 482.492

Vadhanakul, S. 117,125 Varlet, F. 172,174,192 Venema, S. 1.3, 12 Vibhnsiri, A. 101, 102, 116 Villegas, L. 67 Villoso, E.P. 485,492 Vintero, E. 89, 99

Wagner,P.,63,67 Walsh,JJ. 441 Ward,J. 432,455,456,465-467