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526 Fish, crustaceans, molluscs, etc Capture production by species items Indian Ocean, Eastern C-57 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Océan Indien, est (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies Océano Índico, oriental English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2012 2013 2014 2015 2016 2017 2018 Nombre inglés Nombre científico Grupo de especies t t t t t t t Short-finned eel Anguilla australis 22 113 86 94 66 55 93 80 Chacunda gizzard shad Anodontostoma chacunda 24 8 251 8 320 11 077 9 012 10 761 10 504 11 055 Hilsa shad Tenualosa ilisha 24 246 216 264 144 261 826 268 115 328 095 328 991 300 419 Toli shad Tenualosa toli 24 267 161 212 80 203 95 219 Indian pellona Pellona ditchela 24 9 016 10 883 12 501 15 341 13 319 13 797 15 637 Diadromous clupeoids nei Clupeoidei 24 45 208 30 170 131 42 25 Barramundi(=Giant seaperch) Lates calcarifer 25 11 027 11 085 10 512 11 149 9 531 14 090 11 128 Tonguefishes Cynoglossidae 31 3 473 2 912 2 191 2 436 2 923 3 647 3 782 Indian halibut Psettodes erumei 31 11 312 12 368 10 606 7 709 8 533 6 215 9 141 Flatfishes nei Pleuronectiformes 31 14 584 18 415 19 943 15 278 15 770 14 752 17 177 Unicorn cod Bregmaceros mcclellandi 32 2 680 5 132 300 190 80 241 62 Blue grenadier Macruronus novaezelandiae 32 4 080 4 019 4 002 1 379 1 727 1 425 1 537 Grenadiers, rattails nei Macrouridae 32 1 - - - - - - Gadiformes nei Gadiformes 32 11 10 11 13 16 9 7 Indo-Pacific tarpon Megalops cyprinoides 33 32 19 27 33 47 48 78 Bombay-duck Harpadon nehereus 33 77 384 88 502 62 981 64 697 71 019 81 599 85 260 Greater lizardfish Saurida tumbil 33 7 004 6 613 6 762 6 395 4 038 4 100 4 351 Lizardfishes nei Synodontidae 33 40 500 46 819 59 209 67 765 81 150 59 830 69 485 Sea catfishes nei Ariidae 33 94 354 82 784 72 842 74 178 70 882 75 923 63 587 Eeltail catfishes Plotosus spp 33 1 651 1 884 1 820 1 798 1 550 2 035 2 105 Mullets nei Mugilidae 33 51 721 53 630 23 166 28 017 28 178 29 636 24 002 Fusiliers nei Caesionidae 33 13 576 15 263 15 514 16 066 14 760 15 010 15 900 Honeycomb grouper Epinephelus merra 33 3 083 2 802 4 176 2 042 1 545 1 400 1 518 Greasy grouper Epinephelus tauvina 33 2 687 3 424 4 162 7 249 5 770 4 000 3 173 Groupers nei Epinephelus spp 33 1 475 1 898 1 001 24 168 24 182 30 334 28 880 Chocolate hind Cephalopholis boenak 33 14 578 14 193 14 486 17 922 14 625 14 900 15 757 Humpback grouper Cromileptes altivelis 33 3 166 3 162 3 163 3 224 3 946 2 925 2 090 Leopard coralgrouper Plectropomus leopardus 33 1 844 1 656 2 380 3 037 2 671 4 613 3 287 Groupers, seabasses nei Serranidae 33 1 796 1 711 1 308 1 925 2 224 3 839 3 115 Terapon perches nei Terapon spp 33 5 202 5 392 6 603 3 683 3 343 3 490 2 683 Red bigeye Priacanthus macracanthus 33 538 611 363 35 76 78 82 Bigeyes nei Priacanthus spp 33 30 334 34 114 27 040 21 267 49 262 62 186 29 782 Silver sillago Sillago sihama 33 266 251 288 599 776 378 836 Sillago-whitings Sillaginidae 33 3 741 3 332 3 377 3 437 3 075 2 880 2 420 Ruff Arripis georgianus 33 267 425 298 182 172 170 156 Australian salmon Arripis trutta 33 1 382 1 079 871 722 1 098 709 833 Mangrove red snapper Lutjanus argentimaculatus 33 972 954 711 1 247 1 345 3 334 3 106 Snappers nei Lutjanus spp 33 20 647 19 136 20 112 23 581 18 738 19 407 20 066 Jobfishes nei Pristipomoides spp 33 846 877 885 1 334 1 186 1 727 1 261 Snappers, jobfishes nei Lutjanidae 33 5 055 3 800 3 205 12 396 13 428 12 823 13 226 Threadfin breams nei Nemipterus spp 33 50 159 52 346 55 492 48 097 46 971 50 619 53 458 Monocle breams Scolopsis spp 33 825 521 846 1 638 1 491 1 641 1 731 Threadfin and dwarf breams nei Nemipteridae 33 ... ... 53 431 62 764 65 699 60 849 70 778 Ponyfishes(=Slipmouths) Leiognathus spp 33 143 99 6 448 5 681 6 895 6 286 6 924 Ponyfishes(=Slipmouths) nei Leiognathidae 33 65 278 68 722 112 980 105 262 100 397 96 050 79 326 Sweetlips, rubberlips nei Plectorhinchus spp 33 291 270 323 228 253 175 274 Silver grunt Pomadasys argenteus 33 864 927 834 1 566 1 680 1 619 1 566 Grunts, sweetlips nei Haemulidae (=Pomadasyidae) 33 4 240 4 218 4 527 2 576 2 726 1 193 2 949 Southern meagre(=Mulloway) Argyrosomus hololepidotus 33 68 108 69 61 75 67 130 Croakers, drums nei Sciaenidae 33 103 255 101 143 80 030 91 551 86 212 81 006 77 904 Emperors(=Scavengers) nei Lethrinidae 33 6 473 6 741 6 964 17 017 12 049 18 070 20 550 Silver seabream Pagrus auratus 33 1 630 1 223 1 229 1 134 842 685 603 Porgies, seabreams nei Sparidae 33 209 187 150 154 157 218 171 Goatfishes Upeneus spp 33 52 274 61 856 49 822 51 392 48 954 40 119 42 108 Mojarras(=Silver-biddies) nei Gerres spp 33 115 58 63 80 144 153 155 Parore Girella tricuspidata 33 0 - - 0 - - ... Spotted sicklefish Drepane punctata 33 364 442 400 536 509 428 606 Humphead wrasse Cheilinus undulatus 33 203 235 158 37 13 113 14 Wrasses, hogfishes, etc. nei Labridae 33 192 163 166 196 245 184 174 Fourfinger threadfin Eleutheronema tetradactylum 33 1 334 1 447 1 690 856 766 1 741 825 Indian threadfin Leptomelanosoma indicum 33 7 089 6 646 7 249 7 598 8 215 6 608 7 567 Threadfins, tasselfishes nei Polynemidae 33 27 474 31 206 26 880 29 058 31 583 30 471 33 130 Grey rockcod Notothenia squamifrons 33 ... 15 7 6 8 8 5 Percoids nei Percoidei 33 61 238 57 118 28 800 0 0 0 0 Spinefeet(=Rabbitfishes) nei Siganus spp 33 3 810 4 470 4 816 5 565 5 736 6 588 7 517 Flatheads nei Platycephalidae 33 3 889 3 714 3 290 3 561 3 590 3 604 2 970 Puffers nei Tetraodontidae 33 - 472 490 398 456 473 387 Filefishes, leatherjackets nei Monacanthidae 33 667 236 159 157 212 377 148 Red-toothed triggerfish Odonus niger 33 - - - - - - 26 684 Triggerfishes, durgons nei Balistidae 33 97 83 74 62 116 88 120 Lantern fish Lampanyctus achirus 34 3 2 3 5 7 3 1 Daggertooth pike conger Muraenesox cinereus 34 1 690 2 129 1 474 2 102 2 477 4 152 4 237 Pike-congers nei Muraenesox spp 34 5 205 5 456 3 644 4 193 4 186 4 937 4 421 Conger eels, etc. nei Congridae 34 - - 2 - - - - Pink cusk-eel Genypterus blacodes 34 1 217 1 002 809 969 821 961 1 018 Alfonsinos nei Beryx spp 34 7 5 10 20 13 8 9 Redfish Centroberyx affinis 34 444 353 308 324 246 358 346 Orange roughy Hoplostethus atlanticus 34 264 217 210 280 415 417 514 John dory Zeus faber 34 92 81 74 77 81 89 88 Mirror dory Zenopsis nebulosus 34 549 353 198 264 253 314 153 Spiky oreo Neocyttus rhomboidalis 34 71 - - - - - - Smooth oreo dory Pseudocyttus maculatus 34 2 1 - 12 10 54 49 Morwongs Nemadactylus spp 34 573 508 357 246 232 318 293 Trumpeters nei Latridae 34 33 30 21 22 16 22 16 527 Fish, crustaceans, molluscs, etc Capture production by species items Indian Ocean, Eastern C-57 Poissons, crustacés, mollusques, etc Captures par catégories d'espèces Océan Indien, est (a) Peces, crustáceos, moluscos, etc Capturas por categorías de especies Océano Índico, oriental English name Scientific name Species group Nom anglais Nom scientifique Groupe d'espèces 2012 2013 2014 2015 2016 2017 2018 Nombre inglés Nombre científico Grupo de especies t t t t t t t Snoek Thyrsites atun 34 47 17 6 3 6 3 15 Escolar Lepidocybium flavobrunneum 34 8 3 84 122 42 15 - Oilfish Ruvettus pretiosus 34 1 ... 10 12 0 - - Silver gemfish Rexea solandri 34 208 144 142 116 118 114 101 Snake mackerels, escolars nei Gempylidae 34 2 2 27 23 - - - Largehead hairtail Trichiurus lepturus 34 7 312 4 979 9 809 11 955 12 881 10 208 10 413 Hairtails, scabbardfishes nei Trichiuridae 34 53 681 59 956 74 685 87 884 95 910 109 342 78 253 Common warehou Seriolella brama 34 106 49 46 11 4 18 38 Silver warehou Seriolella punctata 34 1 033 787 562 359 311 362 433 White warehou Seriolella caerulea 34 - 5 3 3 3 4 3 Bluenose warehou Hyperoglyphe antarctica 34 357 306 403 272 283 449 304 Ruffs, barrelfishes nei Centrolophidae 34 10 11 12 14 12 10 3 Red gurnard perch Helicolenus percoides 34 5 6 4 3 4 6 3 Scorpionfishes, redfishes nei Scorpaenidae 34 1 - - - - - - Bluefin gurnard Chelidonichthys kumu 34 171 160 153 154 191 209 164 Latchet(=Sharpbeak gurnard) Pterygotrigla polyommata 34 172 237 266 266 182 219 266 Demersal percomorphs nei Perciformes 34 34 938 37 609 35 105 35 166 34 103 31 313 29 248 Spotted sardinella Amblygaster sirm 35 13 402 10 906 11 662 3 099 3 009 4 289 3 242 Goldstripe sardinella Sardinella gibbosa 35 28 466 26 323 27 994 33 407 19 278 25 172 20 770 Indian oil sardine Sardinella longiceps 35 82 926 77 161 109 684 54 667 50 392 69 397 31 974 Bali sardinella Sardinella lemuru 35 19 663 26 219 39 423 32 658 11 544 17 893 15 039 Sardinellas nei Sardinella spp 35 13 897 11 456 12 786 10 974 9 274 6 833 9 794 Rainbow sardine Dussumieria acuta 35 3 708 4 347 4 819 3 825 2 993 1 326 3 225 Stolephorus anchovies nei Stolephorus spp 35 85 784 87 739 91 310 118 693 109 254 155 384 120 408 Anchovies, etc.
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  • Fishery Resources Reading: Chapter 3 Invertebrate and Vertebrate Fisheries  Diversity and Life History  Species Important Globally  Species Important Locally

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    Exploited Fishery Resources Reading: Chapter 3 Invertebrate and vertebrate fisheries Diversity and life history species important globally species important locally Fisheries involving Invertebrate Phyla Mollusca • Bivalves, Gastropods and Cephalopods Echinodermata • sea cucumbers and urchins Arthropoda • Sub-phylum Crustacea: • shrimps and prawns • clawed lobsters, crayfish • clawless lobsters • crabs Phylum Mollusca: Bivalves Fisheries • Oysters, Scallops, Mussels, and Clams • World catch > 1 million MT • Ideal for aquaculture (mariculture) • Comm. and rec. in shallow water 1 Phylum Mollusca: Gastropods Fisheries • Snails, whelks, abalone • Largest number of species • Most harvested from coastal areas • Food & ornamental shell trade • Depletion of stocks (e.g. abalone) due to habitat destruction & overexploitation Phylum Mollusca: Cephalopods Fisheries • Squid, octopus, nautilus • 70% of world mollusc catch = squids • Inshore squid caught with baited jigs, purse seines, & trawls • Oceanic: gill nets & jigging Phylum Echinodermata Fisheries • Sea cucumbers and sea urchins Sea cucumber fisheries • Indian & Pacific oceans, cultured in Japan • slow growth rates, difficult to sustain Sea urchin fisheries • roe (gonads) a delicacy • seasonal based on roe availability Both Easily Overexploited 2 Sub-phylum Crustacea: Shrimps & Prawns Prawn fisheries • extensive farming (high growth rate & fecundity) • Penaeids with high commercial value • stocks in Australia have collapsed due to overfishing & destruction of inshore nursery areas Caridean
  • Does Climate Change Bolster the Case for Fishery Reform in Asia? Christopher Costello∗

    Does Climate Change Bolster the Case for Fishery Reform in Asia? Christopher Costello∗

    Does Climate Change Bolster the Case for Fishery Reform in Asia? Christopher Costello∗ I examine the estimated economic, ecological, and food security effects of future fishery management reform in Asia. Without climate change, most Asian fisheries stand to gain substantially from reforms. Optimizing fishery management could increase catch by 24% and profit by 34% over business- as-usual management. These benefits arise from fishing some stocks more conservatively and others more aggressively. Although climate change is expected to reduce carrying capacity in 55% of Asian fisheries, I find that under climate change large benefits from fishery management reform are maintained, though these benefits are heterogeneous. The case for reform remains strong for both catch and profit, though these numbers are slightly lower than in the no-climate change case. These results suggest that, to maximize economic output and food security, Asian fisheries will benefit substantially from the transition to catch shares or other economically rational fishery management institutions, despite the looming effects of climate change. Keywords: Asia, climate change, fisheries, rights-based management JEL codes: Q22, Q28 I. Introduction Global fisheries have diverged sharply over recent decades. High governance, wealthy economies have largely adopted output controls or various forms of catch shares, which has helped fisheries in these economies overcome inefficiencies arising from overfishing (Worm et al. 2009) and capital stuffing (Homans and Wilen 1997), and allowed them to turn the corner toward sustainability (Costello, Gaines, and Lynham 2008) and profitability (Costello et al. 2016). But the world’s largest fishing region, Asia, has instead largely pursued open access and input controls, achieving less long-run fishery management success (World Bank 2017).