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<gap desc="figure"> Water_NN1

LATERAL_JJ LINE_NN1 (_( DETECTS_VVZ MOVEMENTS_NN2 IN_II THE_AT WATER_NN1 NEARBY_RL )_) ._. IT_PPH1 IS_VBZ LIKE_II A_AT1 <reg> VEIN_NN1 </reg> ._.

BONY_JJ DORSAL_JJ FIN_NN1 ._. THERE_EX IS_VBZ NO_AT ONE_MC1 NUMBER_NN1 OF_IO BONY_JJ RAYS_NN2 IN_II A_ZZ1 FISH_NN 'S_GE FIN_NN1 ._.

SOFT_JJ DORSAL_JJ FIN_NN1 ._.

CAUDAL_JJ FIN/TAIL_NN1

ANAL_JJ FIN_NN1 ._.

PELVIC_NP1 FIN_NP1 ._.

PECTORAL_NN1 FIN_NN1 ._.

GILLS_NN2 (_( LUNGS_NN2 )_) ._.

WATER_NN1

OPERCULUM_NN1 (_( SCALES_NN2 THAT_CST COVER_VV0 THE_AT GILLS_NN2 )_) ._.

By_II <name key="Denise Svoboda">

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Contents_NN2

Powerful_JJ Predators_NN2

Fantastic_JJ Foods_NN2

Fishing_NN1

Species_NN

Analysis_NN1 Attack_NN1

'Home_NN1 Sweet_NP1 Home'_NP1

Pictures_NN2

Keeping_VVG your_APPGE Pets_NN2

Fishy_JJ Places_NN2

Big_JJ Books_NN2

Structure_NN1

Featuring_VVG Facts_NN2

Fishy_JJ Explanations_NN2

Hall_NN1 of_IO fish_NN History_NN1

Contents_NN2

Introduction_NN1 1_MC1

Featuring_VVG Facts_NN2 2_MC

Pictures_NN2 3_MC

Fishy_JJ Explanations_NN2 4_MC

Hall_NN1 of_IO History_NN1 5_MC

'Home_NN1 Sweet_NP1 Home'_NP1 6_MC

Fantastic_JJ Foods_NN2 7_MC

Powerful_JJ Predators_NN2 8_MC

Fishing_NN1 9_MC

Structure_NN1 10_MC

Glossary_NN1 11_MC

Index_NN1 12_MC

<reg> Acknowledgements_NN2 13_MC </reg>

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Introduction_NN1

At_RR21 first_RR22 I_PPIS1 thought_VVD I_PPIS1 would_VM do_VDI only_RR 5_MC types_NN2 of_IO fresh_JJ water_NN1 fish_NN but_CCB as_CSA I_PPIS1 went_VVD on_RP I_PPIS1 got_VVD so_RG interested_JJ I_PPIS1 could_VM n't_XX help_VVI but_CCB do_VD0 them_PPHO2 all_DB !_!

There_EX are_VBR so_RG many_DA2 things_NN2 to_TO write_VVI about_II and_CC so_RG many_DA2 bits_NN2 of_IO information_NN1 that_CST I_PPIS1 am_VBM sure_JJ you_PPY would_VM be_VBI interested_JJ to_TO see_VVI where_RRQ I_PPIS1 got_VVD my_APPGE sources_NN2 from_II ._.

You_PPY can_VM look_VVI in_II the_AT acknowledgements_NN2 ._.

I_PPIS1 was_VBDZ sure_JJ that_CST I_PPIS1 was_VBDZ n't_XX going_VVGK to_TO do_VDI it_PPH1 in_II time_NNT1 but_CCB I_PPIS1 felt_VVD more_RRR reasured_VVD when_RRQ Miss_VV0 ._. <gap desc="Year 5 teacher"> gave_VVD us_PPIO2 extra_JJ time_NNT1 ._. Thank_VV0 you_PPY Miss_VV0 ._. <gap desc="Year 5 teacher"> !_!

I_PPIS1 have_VH0 put_VVN a_AT1 glossary_NN1 in_II the_AT back_NN1 and_CC have_VH0 underlined_VVN all_DB the_AT words_NN2 or_CC abbreviations_NN2 that_CST you_PPY can_VM find_VVI in_II it_PPH1 (_( in_II a_AT1 different_JJ colour_NN1 )_) ._. For_REX21 example_REX22 :_: Barbels_NP2 are_VBR like_JJ ..._... that_DD1 is_VBZ what_DDQ barbels_VVZ are._NNU /10'_NN1 ._.

I_PPIS1 chose_VVD fish_NN because_CS I_PPIS1 wanted_VVD to_TO find_VVI out_RP more_RRR about_II them_PPHO2 and_CC I_PPIS1 liked_VVD their_APPGE mysteriousness_NN1 and_CC so_RR I_PPIS1 thought_VVD this_DD1 was_VBDZ the_AT perfect_JJ opportunity_NN1 of_IO finding_VVG more_RRR out_RP about_II them_PPHO2 ._. Sometimes_RT it_PPH1 makes_VVZ me_PPIO1 not_XX so_RG nervous_JJ about_II going_VVG into_II rivers_NN2 and_CC lakes_NN2 with_IW them_PPHO2 ._.

I_PPIS1 think_VV0 it_PPH1 's_VBZ like_II being_VBG on_II31 top_II32 of_II33 a_AT1 mountain_NN1 and_CC looking_VVG at_II the_AT others_NN2 in_II the_AT distance_NN1 as_CSA their_APPGE colours_NN2 get_VV0 paler_JJR and_CC you_PPY wonder_VV0 what_DDQ is_VBZ beyond_RL ._. I_PPIS1 imagine_VV0 it_PPH1 that_DD1 way_NN1 because_CS it_PPH1 's_VBZ like_II the_AT depth_NN1 of_IO water_NN1 getting_VVG darker_JJR and_CC darker_JJR ._. I_PPIS1 chose_VVD fish_NN ,_, <reg> as_RR21 well_RR22 </reg> ,_, because_CS I_PPIS1 thought_VVD of_IO all_DB the_AT tropical_JJ colours_NN2 ._. But_CCB I_PPIS1 decided_VVD on_II fresh_JJ water_NN1 fish_NN because_CS if_CS others_NN2 were_VBDR doing_VDG fish_NN they_PPHS2 probably_RR would_VM do_VDI tropical_JJ ,_, sharks_NN2 ,_, whales_NN2 or_CC dolphins_NN2 !_!

Please_RR read_VVN on_RP !_! ..._...

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<note desc="text written on margin tab"> Featuring_VVG Facts_NN2

<gap desc="figure"> Factfiles_NN2

Catfish_NN

*Whiskers/barbels_NN2 ?_? :_: All_DB Catfish_NN have_VH0 barbels_NN2 ,_, that_DD1 is_VBZ why_RRQ they_PPHS2 are_VBR called_VVN Catfish_NN as_CSA they_PPHS2 look_VV0 like_II whiskers_NN2 ._. They_PPHS2 use_VV0 their_APPGE barbels_NN2 to_TO find_VVI their_APPGE way_NN1 around_RP in_II the_AT muddy_JJ waters_NN2 where_CS they_PPHS2 may_VM be_VBI passing_JJ or_CC may_VM even_RR live_VVI ._. <gap desc="figure">

Types_NN2 :_: 2,000/two_FO thousand_NNO ._.

Continent_NN1 homes_NN2 :_: All_DB above_II the_AT Equator_NN1 ._.

Who_PNQS lives_VVZ where_RRQ ?_? :_:

Europe_NP1	Asia_NP1	N_NP1 America_NP1	S_NP1 America_NP1
Wel_NN1	Pungas_NN2	Blue_JJ Catfish_NN	Thorny_JJ Catfish_NN
	Wallago_NN1	Madtoms_NN2	Fresh_JJ water_NN1 Pearl_NN1 fish_NN
	Mekong_NP1

Habitat_NN1 :_: Some_DD muddy_JJ rivers_NN2 (_( slow_RR moving_VVG )_) ._.

Diet_NN1 :_: <reg> Invertebrate_JJ </reg> fish_NN and_CC algae_NN2 ._.

Carp_VV0

*The_FO Koi_NP1 fish_NN is_VBZ the_AT Japanese_JJ Carp_NN ,_, it_PPH1 has_VHZ been_VBN especially_RR bred_VVN to_TO make_VVI different_JJ colours_NN2 ._. The_AT Japanese_JJ monks_NN2 did_VDD this_DD1 by_II carefully_RR breeding_VVG them_PPHO2 and_CC gradually_RR producing_VVG all_DB of_IO these_DD2 wonderful_JJ colours_NN2 ._. Look_VV0 out_RP for_IF facts_NN2 on_II the_AT fact_NN1 page_NN1 and_CC pictures_NN2 on_II some_DD of_IO the_AT pages_NN2 ._.

*The_FO Carp_NN belongs_VVZ to_II the_AT Minnow_NN1 family_NN1 ._.

Types_NN2 :_: 2,500/Two_FO thousand_NNO five_MC hundred_NNO ._.

Distribution_NN1 :_: Worldwide_RL ._.

Habitat_NN1 :_: Mostly_RR fresh_JJ water_NN1 and_CC muddy_JJ places_NN2 as_CSA some_DD types_NN2 can_VM wriggle_VVI from_II one_MC1 place_NN1 to_II another_DD1 across_II land_NN1 ._.

Sturgeon_NN1 <gap desc="figure">

*Sturgeon_FO 's_GE eggs_NN2 are_VBR the_AT caviar_NN1 that_CST we_PPIS2 think_VV0 is_VBZ such_DA a_AT1 speciality_NN1 ._. The_AT largest_JJT can_VM carry_VVI 200_MC kilograms_NNU2 (_( 450_MC pounds_NN2 )_) or_CC more_DAR caviar_NN1 ._. <gap desc="figure">

Types_NN2 :_: 27/Twenty_FO seven_MC ._.

Continent_NN1 Homes_NN2 :_: Asia_NP1 ,_, Europe_NP1 and_CC North_ND1 America_NP1 ._.

Habitat_NN1 :_: Rivers_NP1 ,_, lakes_NN2 and_CC oceans_NN2 ._.

Diet_NN1 :_: Small_NP1 invertebrates_NN2 ._.

Perch_VV0 <gap desc="figure">

*The_FO European_JJ Perch_NN lays_VVZ ribbons_NN2 of_IO eggs_NN2 protected_VVN inside_II a_AT1 sort_NN1 of_IO jelly_NN1 ._. It_PPH1 can_VM yield_VVI up_II21 to_II22 300,000/_FO three_MC million_NNO eggs_NN2 ,_, it_PPH1 then_RT scatters_VVZ it_PPH1 along_II the_AT ground_NN1 and_CC other_JJ surfaces_NN2 such_II21 as_II22 water_NN1 plants_NN2 and_CC rocks_NN2 ._. <gap desc="figure">

Types_NN2 :_: 8,000/_FO eight_MC thousand_NNO ._.

Distribution_NN1 :_: Worldwide_RL ._.

Habitat_NN1 :_: Marine_JJ and_CC fresh_JJ waters_NN2 ._.

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Diet_NN1 :_: Invertebrates_NN2 and_CC fish_NN (_( mostly_RR )_) ._.

Pike_NN <gap desc="figure">

*The_FO Pike_NN is_VBZ the_AT largest_JJT fresh_JJ water_NN1 fish_NN (_( providing_CS there_EX 's_VBZ no_AT escaped_JJ zoo_NN1 animal_NN1 !_! )_) Before_II today_RT they_PPHS2 would_VM probably_RR grow_VVI to_II an_AT1 amazing_JJ ,_, record_NN1 breaking_VVG size_NN1 as_CSA they_PPHS2 got_VVD older_JJR ._. But_CCB now_RT people_NN do_VD0 n't_XX let_VVI them_PPHO2 grow_VVI because_II21 of_II22 pollution_NN1 and_CC being_VBG caught_VVN by_II nets_NN2 ,_, fishermen_NN2 and_CC being_VBG trapped_VVN by_II weirs_NN2 ._.

Types_NN2 :_: 300/_FO three_MC hundred_NNO ._.

Distribution_NN1 :_: Mostly_RR cool_JJ fresh_JJ waters_NN2 ._. Almost_RR worldwide_RL ._.

Habitat_NN1 :_: Many_DA2 species_NN of_IO these_DD2 move_VV0 from_II fresh_JJ to_II sea_NN1 water_NN1 or_CC vice_RR21 versa_RR22 in_II stages_NN2 of_IO their_APPGE life_NN1 ._. They_PPHS2 live_VV0 in_II all_DB depths_NN2 of_IO water_NN1 in_II rivers_NN2 ,_, streams_NN2 ,_, lakes_NN2 and_CC oceans_NN2 ._.

Diet_NN1 :_: Same_DA as_CSA Perch_NN ._.

Salmon_NN <gap desc="figure">

*_FU The_AT types_NN2 ,_, distribution_NN1 ,_, habitat_NN1 and_CC diet_NN1 are_VBR the_AT same_DA as_CSA the_AT pike_NN 's_VBZ because_CS <reg> its_APPGE </reg> order_NN1 is_VBZ the_AT same_DA (_( Salmoniformes_NP1 )_) ._. Maybe_RR it_PPH1 's_VBZ called_VVN that_CST because_CS they_PPHS2 do_VD0 n't_XX stay_VVI in_II the_AT same_DA type_NN1 of_IO water_NN1 as_CSA we_PPIS2 know_VV0 salmon_NN do_VD0 n't_XX !_! ?_?

*Look_FO at_II the_AT explanations_NN2 page_NN1 to_TO see_VVI what_DDQ the_AT possibilities_NN2 of_IO their_APPGE lifestyle_NN1 is_VBZ !_!

Trout_NN

Same_DA as_CSA Salmon_NN and_CC Pike_NN it_PPH1 also_RR is_VBZ in_II the_AT order_NN1 of_IO Salmoniformes_NN2 ._.

Paddlefish_NN1

The_AT Paddlefish_NN1 is_VBZ 2-metres_NNU2 long_JJ ._. It_PPH1 's_VBZ nose_NN1 is_VBZ like_II a_AT1 spatula_NN1 and_CC it_PPH1 is_VBZ related_VVN to_II the_AT Sturgeon_NN1 even_CS21 though_CS22 they_PPHS2 live_VV0 so_RG far_RR away_II21 from_II22 each_PPX221 other_PPX222 ._.

Types_NN2 :_: 27/_FO twenty_MC seven_MC ._.

Distribution_NN1 :_: Mississippi_NP1 ,_, Yangtse_NP1 and_CC Hwang_VV0 -ho_UH rivers_NN2 and_CC their_APPGE tributaries_NN2 ._.

Habitat_NN1 :_: Large_JJ muddy_JJ rivers_NN2 ._.

Diet_NN1 :_: Small_NP1 invertebrates_NN2 ._.

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Facts_NN2

*Cuiu-Cuiu_FO

The_AT Thorny_JJ Catfish_NN lives_VVZ in_II South_ND1 America_NP1 ,_, at_II the_AT bottom_NN1 of_IO the_AT Amazon_NP1 and_CC Guyana_NP1 rivers_NN2 and_CC tributaries_NN2 ._. It_PPH1 could_VM grow_VVI up_II21 to_II22 10'_FO (_( 3_MC metres_NNU2 )_) long_RR ._. It_PPH1 sucks_VVZ up_RP rotting_JJ detritus_NN1 as_CSA it_PPH1 has_VHZ no_AT teeth_NN2 ._. Better_RRR go_VVI and_CC see_VVI <reg> its_APPGE </reg> dentist_NN1 !_!

*The_FO "_" Living_JJ Jewels_NN2 "_" on_II Earth_NN1

They_PPHS2 are_VBR called_VVN "_" Living_JJ Jewels_NN2 "_" /_FO Koi_NP1 ._.

They_PPHS2 used_VMK to_TO be_VBI dull_JJ brown_JJ ,_, but_CCB there_EX was_VBDZ once_RR a_AT1 red_JJ one_PN1 belonging_VVG to_II the_AT monks_NN2 who_PNQS kept_VVD them_PPHO2 in_II Carp_NN ponds_NN2 for_IF food_NN1 ._.

They_PPHS2 kept_VVD it_PPH1 and_CC bred_VVN from_II it_PPH1 and_CC gradually_RR ,_, with_IW careful_JJ breeding_NN1 ,_, obtained_VVD lots_PN of_IO colourful_JJ fish_NN with_IW their_APPGE scales_NN2 ._.

To_II the_AT Japanese_NN1 they_PPHS2 are_VBR like_II our_APPGE English_JJ blood_NN1 stock_NN1 racing_VVG horses_NN2 (_( very_RG highly_RR prized_VVN )_) ._. The_AT highest_JJT price_NN1 to_II date_NN1 is_VBZ 500,000/_FO five_MC hundred_NNO ,_, thousand_NNO pounds_NN2 ._. The_AT most_RGT popular_JJ are_VBR the_AT red_NN1 and_CC white_JJ ones_NN2 ._. They_PPHS2 are_VBR not_XX only_RR <reg> beautiful_JJ </reg> but_CCB they_PPHS2 become_VV0 very_RG large_JJ and_CC very_RG tame_JJ ._. In_II fact_NN1 they_PPHS2 become_VV0 1_MC1 <reg> metre_NNU1 </reg> /_FO 3'_FO ._. In_II Japan_NP1 <reg> there_EX </reg> is_VBZ not_XX much_DA1 room_NN1 for_IF pets_NN2 ,_, but_CCB fish_NN can_VM be_VBI kept_VVN more_RGR easily_RR ._.

In_II Japan_NP1 they_PPHS2 eat_VV0 all_DB the_AT <reg> household_NN1 </reg> scraps_NN2 ._. But_CCB in_II England_NP1 we_PPIS2 tend_VV0 to_TO give_VVI them_PPHO2 ready_RR made_VVN pellets_NN2 containing_VVG all_DB the_AT nutrients_NN2 and_CC good_JJ food_NN1 that_CST they_PPHS2 need_VV0 ._. They_PPHS2 like_VV0 lettuce_NN1 ,_, fruit_NN and_CC prawns_NN2 for_IF a_AT1 treat_NN1 and_CC will_VM readily_RR eat_VVI from_II your_APPGE hand_NN1 ._. They_PPHS2 only_RR get_VV0 ill_JJ if_CS they_PPHS2 are_VBR stressed_VVN ._. This_DD1 makes_VVZ them_PPHO2 vulnerable_JJ to_II illnesses_NN2 ._. If_CS the_AT water_NN1 is_VBZ fresh_JJ and_CC clean_VV0 any_DD wound_NN1 or_CC illness_NN1 can_VM clean_VVI up_RP naturally_RR ._.

<gap desc="figure"> Kimon-Shiroutsuri_JJ Ginrin_NN1

*Big_FO Fish_NN

The_AT Longnose_NP1 Gar_NP1 lives_VVZ in_II the_AT North_NP1 American_JJ rivers_NN2 ._. The_AT jaw_NN1 is_VBZ actually_RR the_AT nose_NN1 lined_VVN with_IW sharp_JJ teeth_NN2 ._. The_AT fish_NN is_VBZ sneaky_JJ and_CC hides_VVZ <reg> its_APPGE </reg> 1.5_MC metre/_FO 5'_FO body_NN1 in_II the_AT weeds_NN2 and_CC shoots_VVZ out_RP to_TO grab_VVI any_DD fish_NN that_CST may_VM be_VBI passing_VVG ._.

*Paddlefish_FO

The_AT Paddlefish_NN1 swims_VVZ with_IW <reg> its_APPGE </reg> mouth_NN1 open_VV0 <reg> sieving_VVG </reg> <reg> miniature_JJ </reg> creatures_NN2 through_II flaps_NN2 inside_II <reg> its_APPGE </reg> huge_JJ mouth_NN1 ._. You_PPY 'll_VM probably_RR see_VVI it_PPH1 better_RRR on_II the_AT picture_NN1 page_NN1 than_CSN through_II your_APPGE imagination_NN1 !_! Or_CC will_VM you_PPY ?_? !_!

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Facts_NN2

*Salmon_FO

Parr_NN1 -_-	Smolt_VV0 -_-	Salmon_NN -_-	Kelt_NN1
Fresh_JJ water_NN1	Sea_NN1 water_NN1	River_NN1	River_NN1

After_II spawning_VVG Salmon_NN are_VBR known_VVN as_II Kelts_NN2 ._. Salmon_NN also_RR grows_VVZ fast_RR in_II the_AT sea_NN1 ._. Parr_NN1 are_VBR usually_RR born_VVN at_II night_NNT1 because_II21 of_II22 predators_NN2 and_CC that_DD1 is_VBZ where_RRQ Owls_NN2 have_VH0 an_AT1 advantage_NN1 ._.

*Eels_FO

The_AT European_JJ Eel_NN grows_VVZ bigger_JJR as_CSA it_PPH1 approaches_VVZ Europe_NP1 ._. The_AT European_JJ Eel_NN grows_VVZ into_II a_AT1 yellow_JJ Eel_NN ._.

*A_FO <reg> Fish_NN 's_GE </reg> Way_NN1

Most_DAT fish_NN lay_VV0 lots_PN of_IO eggs_NN2 but_CCB only_RR few_DA2 survive_VV0 because_II21 of_II22 predators_NN2 ,_, humans_NN2 and_CC pollution_NN1 ._.

*It_FO Grows_VVZ 'ere_RL !_! In_II books_NN2 you_PPY might_VM hear-_NN1 it_PPH1 lives_VVZ on_II water_NN1 plants-_NN1 and_CC you_PPY might_VM want_VVI to_TO know_VVI if_CSW it_PPH1 's_VBZ sea_NN1 or_CC fresh_JJ water_NN1 ._. It_PPH1 's_VBZ fresh_JJ water_NN1 !_!

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*Pike_FO Strike_NN1

Stealthy_JJ but_CCB big_RR the_AT Pike_NN lurks_VVZ in_II the_AT darkness_NN1 and_CC then_RT when_CS you_PPY do_VD0 n't_XX expect_VVI it_PPH1 ..._... PATHETIC_JJ !_! But_CCB true_JJ (_( almost_RR )_) ._. Like_II the_AT Longnose_NN1 Gar_VV0 it_PPH1 hides_VVZ ,_, it_PPH1 catches_VVZ smaller_JJR fish_NN and_CC other_JJ creatures_NN2 in_II <reg> its_APPGE </reg> huge_JJ mouth_NN1 which_DDQ is_VBZ lined_VVN with_IW teeth_NN2 ,_, sharp_JJ teeth_NN2 !_! A_AT1 large_JJ Pike_NN may_VM even_RR attack_VVI a_AT1 bird_NN1 sitting_VVG on_II the_AT water_NN1 's_GE surface_NN1 or_CC even_RR your_APPGE dog_NN1 that_CST comes_VVZ to_TO drink_VVI from_II the_AT water_NN1 's_GE edge_NN1 ._. It_PPH1 may_VM drag_VVI the_AT victim_NN1 underneath_II the_AT water_NN1 and_CC drown_VV0 it_PPH1 ._. The_AT biggest_JJT Pike_NN is_VBZ said_VVN to_TO be_VBI at_RR21 least_RR22 40_MC kilograms_NNU2 in_II weight_NN1 ._. Now_RT when_CS we_PPIS2 catch_VV0 Pike_NN it_PPH1 is_VBZ a_AT1 considerable_JJ weight_NN1 for_IF it_PPH1 to_TO be_VBI 30_MC kilograms_NNU2 and_CC in_II size_NN1 a_AT1 length_NN1 of_IO 1.5_MC metres/_FO 5'_FO ._.

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PICTURES_NN2

KOI_NP1

<gap desc="imported material"> Ginshiro-Utsuri_NN1

<gap desc="imported material"> <note desc="uncertain spelling"> Konamo_NP1 Sanko_NP1 <note>_FO

P.T.O._NP1 <gap desc="imported material"> Platinum_NN1 Oogun_NN1

P.T.O._NP1 <gap desc="imported material"> Yamabuki_NP1 Oogun_NP1

<gap desc="imported material"> Mizuho_NP1 Oogun_NP1

P.T.O._NP1 <gap desc="imported material"> <note_FO desc=_FO "_" uncertain_JJ spelling_NN1 "_" Kin-ki-Utsuri_NN1 <note>_FO

<gap desc="imported material"> Orange_JJ Hariwua_NP1

P.T.O._NP1 <gap desc="imported material"> Kin-Showa_NP1

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<gap desc="imported material"> Ai-Goromo_NP1

<gap desc="imported material"> Koromo-Showa_NP1

<gap desc="imported material"> Yamatonishiki_NN2

<gap desc="imported material"> Kujyaku_NN1 </note>

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Picture_NN1 -_- Freshwater_NP1 Angelfish_NP1

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Paddlefish_NN1

Paddlefish_NN1

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Bream_NN <gap desc="imported material">

Roach_NP1 <gap desc="imported material">

Perch_VV0 <gap desc="imported material">

Carp_VV0 <gap desc="imported material">

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Fishy_JJ Explanations_NN2

Salmon_NN

Why_RRQ do_VD0 they_PPHS2 lay_VVI their_APPGE eggs_NN2 in_II fresh_JJ water_NN1 ?_?

Easier_RRR to_TO cling_VVI on_RP to_II on_II fresh_JJ water_NN1 plants_NN2 than_CSN on_II sea_NN1 water_NN1 plants_NN2 and_CC unless_CS the_AT eggs_NN2 are_VBR very_RG well_RR stuck_VVN on_RP in_II the_AT sea_NN1 it_PPH1 could_VM easily_RR float_VVI up_RP ._.

In_II the_AT sea_NN1 creatures_NN2 tend_VV0 to_TO know_VVI that_CST some_DD fish_NN bury_VV0 their_APPGE eggs_NN2 in_II the_AT sand_NN1 as_II the_AT Salmon_NN does_VDZ ._. But_CCB the_AT Salmon_NN and_CC some_DD other_JJ fish_NN know_VV0 better_RRR !_!

Fresh_JJ water_NN1 might_VM be_VBI better_JJR for_IF their_APPGE young_JJ ._.

European_JJ Eels_NN2

Yellow_JJ Eel-_JJ Small_JJ eyes_NN2 ,_, yellow_JJ

Colours-_JJ Camouflage_NN1 ._.

Eyes-Y-_NN2 Camouflage_VV0 ._. European_JJ Eel-_JJ Big_JJ eyes_NN2 ,_, silver_NN1

E-_JJ To_TO see_VVI in_II the_AT dark_NN1 or_CC mud_NN1 ._.

Eels_NN2 spend_VV0 most_DAT of_IO their_APPGE time_NNT1 in_II fresh_JJ water_NN1 and_CC spawn_VV0 out_RP at_II sea_NN1 ._. This_DD1 is_VBZ the_AT opposite_JJ to_II Salmon_NN though_RR ._. So_RR the_AT ideas_NN2 up_RP above_RL for_IF the_AT Salmon_NN ,_, the_AT last_MD two_MC ,_, ca_VM n't_XX apply_VVI or_CC can_VM they_PPHS2 because_CS the_AT Eel_NN may_VM have_VHI different_JJ systems_NN2 ?_?

Why_RRQ is_VBZ it_PPH1 bigger_JJR ?_?

You_PPY will_VM have_VHI heard_VVN about_II the_AT European_JJ Eel_NN growing_VVG bigger_JJR as_CSA it_PPH1 got_VVD closer_RRR to_II Europe_NP1 in_II the_AT facts_NN2 but_CCB you_PPY may_VM wonder_VVI when_RRQ it_PPH1 got_VVD closer_RRR and_CC bigger_JJR if_CS it_PPH1 was_VBDZ because_II21 of_II22 <reg> its_APPGE </reg> natural_JJ ways_NN2 or_CC pollution_NN1 ._. It_PPH1 could_VM easily_RR be_VBI because_II21 of_II22 both_RR but_CCB most_RGT likely_JJ to_TO be_VBI is_VBZ <reg> its_APPGE </reg> period_NN1 of_IO life_NN1 ._.

<gap desc="figure"> S.T.Tiddle_NP1 S.T.Tiddle_NP1 S.T.Tiddle_NP1 S.T.Tiddle_NP1

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Hall_NN1 of_IO Fish_NN History_NN1

*What_FO are_VBR you_PPY running_VVG away_RL for_IF ?_?

The_AT Sailfish_NN1 is_VBZ the_AT fastest_JJT ,_, ever_RR recorded_VVN fish_NN ._. It_PPH1 can_VM get_VVI up_RG21 to_RG22 110_MC kph_NNU or_CC 68mph_NNU that_DD1 is_VBZ approximately_RR 4_MC times_NNT2 as_RG fast_RR as_II an_AT1 athlete_NN1 runner_NN1 ._. Hard_RR to_TO imagine_VVI I_PPIS1 <reg> know_VV0 </reg> !_! ,_, but_CCB this_DD1 may_VM be_VBI easier_JJR :_: roughly_RR the_AT fastest_JJT you_PPY can_VM go_VVI in_II your_APPGE car_NN1 on_II the_AT motorway_NN1 ._. But_CCB it_PPH1 is_VBZ a_AT1 sea_NN1 fish_NN ._.

*I_FO would_VM n't_XX like_VVI to_TO be_VBI in_II deep_JJ water_NN1 with_IW you_PPY

The_AT Arapaima_NP1 is_VBZ or_CC would_VM have_VHI been_VBN the_AT largest_JJT fresh_JJ water_NN1 fish_NN in_II the_AT world_NN1 but_CCB now_RT it_PPH1 only_RR grows_VVZ to_II 3_MC metres_NNU2 long_JJ ._. However_RRQV it_PPH1 used_VMK to_TO be_VBI an_AT1 amazing_JJ 5_MC metre_NNU1 long_JJ fresh_JJ water_NN1 fish_NN ._.

*A_FO Muddy_JJ Swamp_NN1 !_!

Lungfish_NP1 look_VV0 similar_JJ to_II eels_NN2 ._.

The_AT biggest_JJT live_JJ in_II the_AT muddy_JJ swamps_NN2 in_II Africa_NP1 and_CC when_CS the_AT swamps_NN2 dry_VV0 up_RP it_PPH1 can_VM wriggle_VVI across_II the_AT land_NN1 to_II a_AT1 <reg> nearby_JJ </reg> river_NN1 ,_, or_CC it_PPH1 will_VM bury_VVI itself_PPX1 deep_RR into_II the_AT mud_NN1 and_CC sleep_VV0 until_CS the_AT next_MD rainy_JJ season_NNT1 fills_VVZ <reg> its_APPGE </reg> swamp_NN1 ._.

Smaller_JJR species_NN are_VBR found_VVN in_II South_ND1 America_NP1 or_CC Australia_NP1 ._.

*A_FO Nice_JJ Meal_NN1

Prehistoric_JJ fish_NN <reg> were_VBDR n't_XX </reg> all_DB as_RG big_JJ as_CSA you_PPY might_VM think_VVI ._. People_NN say_VV0 they_PPHS2 probably_RR <reg> were_VBDR n't_XX </reg> as_RG big_JJ as_CSA our_APPGE largest_JJT fish_NN the_AT Whale_NN1 <reg> Shark_NN1 </reg> ._. As_CSA this_DD1 title_NN1 might_VM suggest_VVI over_RG 5_MC million_NNO years_NNT2 ago_RA most_DAT or_CC maybe_RR all_DB fish_NN would_VM have_VHI fitted_VVN a_AT1 dinner_NN1 plate_NN1 !_!

PREHISITORIC_JJ FISH_NN

page 15 [ next page ] [ previous page ] [ DS5.1 index ]

Map_NN1 -_- World_NN1

Argentine_NP1 Pearl_NP1 fish_NN Bitterling_NP1 Bowfins_NP2 Bream_NN Chichlids_NN2 Carp_VV0 Catfish_NN Fresh_JJ Water_NN1 Angelfish_NP1 Garfish_NP1 Goldfish_NN Halfbeak_VV0 Killifish_NP1 Minnow_NP1 Mullet_NP1 Paddlefish_NP1 Perch_VV0 Pike_NN Puffer_NP1 River_NNL1 Lamprey_NP1 Roach_NP1 Rosy_NP1 Barb_NP1 Salmon_NP1 Shad_NP1 Silver_NP1 Sides_NN2 Some_DD Eels_NN2 Some_DD Sea_NN1 Bass_NN1 Some_DD Sole_JJ Sticklebacks_NN2 Sturgeons_NN2 Murray_NP1 Cod_NN Bigmouth_NP1 Buffalo_NP1 Arapaima/Pirarucu_NP1 Knifefish_NP1 Mahaseer_NP1 Giant_JJ Tiger_NN1 fish_NN

<gap desc="colour key"> NORTH_ND1 AMERICA_NP1

<gap desc="colour key"> EUROPE_NP1

<gap desc="colour key"> SOUTH_ND1 AMERICA_NP1

<gap desc="colour key"> ASIA_NP1

<gap desc="colour key"> AUSTRALIA_NP1

<gap desc="colour key"> AFRICA_NP1

*_FU Ca_VM n't_XX find_VVI

*_FU North_ND1 of_IO the_AT equator_NN1

*_FU Almost_RR worldwide_RL

page 16 [ next page ] [ previous page ] [ DS5.1 index ]

<gap desc="figure"> 1_MC1 ._. Fish_NN contain_VV0 vitamins_NN2 and_CC minerals_NN2

2_MC ._. Protein_NN1

3_MC ._. Not_XX alot_NN1 of_IO highly_RR unsaturated_JJ fats_NN2

4_MC ._. Low_JJ in_II carbohydrates_NN2

page 17 [ next page ] [ previous page ] [ DS5.1 index ]

PREDATORS_NN2

Otters_NN2 :_: <gap desc="figure">

Kingfishers_NN2 :_: <gap desc="figure">

Humans_NN2 :_: <gap desc="figure">

Birds_NP1 :_: <gap desc="figure">

Animals_NN2 :_: <gap desc="figure">

page 18 [ next page ] [ previous page ] [ DS5.1 index ]

<gap desc="figure"> Fishing_NN1

You_PPY can_VM fish_VVI in_RP lots_PN of_IO places_NN2 one_MC1 of_IO them_PPHO2 is_VBZ the_AT Wyre_NP1 fisheries_NN2 ._. You_PPY have_VH0 to_TO have_VHI a_AT1 <sic> license_NN1 </sic> to_TO fish_VVI and_CC there_EX is_VBZ a_AT1 limited_JJ amount_NN1 of_IO fish_NN that_CST you_PPY can_VM keep_VVI to_TO cook_VVI and_CC eat_VVI ._. At_II the_AT fisheries_NN2 they_PPHS2 sell_VV0 flies_NN2 and_CC you_PPY have_VH0 to_TO dip_VVI your_APPGE tackle_NN1 in_II disinfectant_NN1 ._. You_PPY put_VV0 salve_NN1 in_II the_AT fishes_NN2 mouth_NN1 and_CC put_VV0 them_PPHO2 back_RP in_II the_AT pond_NN1 ._. The_AT season_NNT1 has_VHZ just_RR gone_VVN if_CS you_PPY are_VBR fishing_VVG in_II lakes_NN2 or_CC rivers_NN2 ._.

<gap desc="figure"> 30_MC sec_NNU Dip_NN1

<gap desc="figure"> Silly_JJ wellies_NN2 !_!

page 19 [ next page ] [ previous page ] [ DS5.1 index ]

Structure_NN1

SEE_VV0 FRONT_JJ COVER_NN1 ._.

page 20 [ next page ] [ previous page ] [ DS5.1 index ]

Glossary_NN1

Abbreviations_NN2 A_ZZ1 sign_VV0 to_TO say_VVI things_NN2 for_IF short_JJ like_NN1 '_GE is_VBZ for_IF feet_NN2 ._.

Algae_NN2 A_ZZ1 bacteria_NN2 form_NN1 of_IO a_AT1 water_NN1 weed_NN1 ._.

Barbels_NP1 Feelers_NP1 ._.

Bred_VVN Kept_VVN and_CC made_VVD to_TO spawn_VVI with_IW another_DD1 fish_NN maybe_RR a_AT1 red_JJ one_PN1 so_RR you_PPY get_VV0 red_JJ and_CC white_JJ young_JJ ._.

Cling_VV0 Hold_NN1 on_II21 to_II22 ._.

Considerable_JJ A_ZZ1 good_JJ size_NN1 ,_, a_AT1 good_JJ weight_NN1 ..._... Continent_NN1 1_MC1 of_IO 7_MC continents_NN2 ._. These_DD2 continents_NN2 are_VBR :_: Europe_NP1 ,_, Asia_NP1 ,_, Africa_NP1 ,_, N_ZZ1 America_NP1 ,_, S_ZZ1 America_NP1 ,_, Australia_NP1 ,_, Antarctica_NP1

Crustaceans_NN2 Armoured_JJ creatures_NN2 ._.

Dark_JJ Bars_NN2 Dark_JJ lines_NN2 ._.

Depth_NN1 1_MC1 ._. Colour_NN1 depth_NN1 :_: 2_MC ._. The_AT deep_JJ end_NN1 of_IO a_AT1 swimming_NN1 pool_NN1 :_:

Detritus_NN1 Rubbish_NN1 ._.

Distribution_NN1 Where_CS it_PPH1 is_VBZ ._.

English_JJ blood_NN1 stock_NN1 racing_VVG horses_NN2 English_JJ blood_NN1 racing_VVG horses_NN2 or_CC just_RR <reg> another_DD1 </reg> name_NN1 for_IF English_JJ horses_NN2 ._.

Equator_NN1 The_AT line_NN1 around_II the_AT Earth_NN1 where_CS the_AT sun_NN1 goes_VVZ round_RP ._.

Exceptionally_RR Unusually_RR ._.

page 21 [ next page ] [ previous page ] [ DS5.1 index ]

Habitat_NN1 Surroundings_NN2 like_II water_NN1 weeds_NN2 ._.

<reg> Household_NN1 </reg> In_II the_AT case_NN1 that_CST I_PPIS1 used_VVD scraps_NN2 from_II around_II the_AT house_NN1 ._.

Hybrids_NN2 Special_JJ markings_NN2 ._.

Interbreeding_VVG Different_JJ types_NN2 of_IO fish_NN that_CST breed_VV0 together_RL ._.

Larvae_NN2 Grub_NN1 or_CC caterpillar_NN1 look_NN1 of_IO an_AT1 insect_NN1 ._.

Marine_NP1 Sea_NNL1 ._.

Molluscs_NN2 Soft_JJ body_NN1 <reg> and_CC </reg> sometimes_RT hard_RR shell_VV0 like_II a_AT1 snail_NN1 ._.

Nutrients_NN2 Good_JJ food_NN1 and_CC also_RR healthy_JJ ._.

Obtained_VVN To_TO get_VVI ._.

Order_VV0 To_TO get_VVI your_APPGE numbers_NN2 in_II the_AT right_JJ order_NN1 :_: 1_MC1 2_MC 3_MC 4_MC 5_MC ..._...

Pellets_NN2 Capsules_NN2 and_CC sometimes_RT rolled_VVD up_RP and_CC hardened_JJ food_NN1 for_IF pets_NN2 ._.

Period_NN1 A_ZZ1 stage_NN1 ._.

Region_NN1 An_AT1 area_NN1 ._.

<reg> Sieving_VVG </reg> Flaps_NN2 or_CC tight_JJ spaces_NN2 to_TO let_VVI only_RR small_JJ bits_NN2 through_RP ._.

Shellfish_NN A_ZZ1 fish_NN with_IW a_AT1 shell_NN1 ._.

Smolt_VV0 A_ZZ1 Salmon_NN in_II the_AT stage_NN1 of_IO life_NN1 where_CS it_PPH1 is_VBZ in_II the_AT sea_NN1 about_RPK to_TO go_VVI to_II a_AT1 river_NN1 and_CC turn_VV0 into_II a_AT1 Salmon_NN ._.

Spatula_NN1 A_ZZ1 shape_NN1 like_II this_DD1 :_: <gap desc="figure"> Used_VVN in_II cooking_VVG to_TO scrape_VVI bits_NN2 of_IO food_NN1 out_II21 of_II22 a_AT1 bowl_NN1 ._. <gap desc="figure">

Specialty_NN1 Usually_RR an_AT1 expensive_JJ ,_, special_JJ food_NN1 ._. <gap desc="figure">

Species_NN A_ZZ1 type_NN1 like_II endangered_JJ species_NN ._.

Stressed_VVN A_AT1 feeling_NN1 of_IO anxiety_NN1 ._.

Tame_JJ Friendly_JJ or_CC not_XX scared_JJ of_IO humans_NN2 ._.

Tinged_VVN Lightly_RR coloured_VVN in_II the_AT place_NN1 where_RRQ I_PPIS1 used_VVD it_PPH1 ._.

Tributaries_NN2 Partings_NN2 of_IO a_AT1 river_NN1 stream_NN1 ._.

Twined_VVN Tangled_JJ around_II something_PN1 ._.

Vary_VV0 The_AT colour_NN1 can_VM be_VBI <note desc="word inserted below"> vary_VV0 </note> either_RR red_JJ or_CC yellow_JJ ._.

Vice_RR21 Versa_RR22 The_AT other_JJ way_NN1 round_RP ._.

Victim_NN1 Live_JJ target_NN1 ._.

Vulnerable_JJ Easy_JJ to_TO get_VVI ._.

Yield_VV0 Produce_VV0 ._. '_GE Feet_NN2 in_II measurement_NN1 ._.

page 22 [ next page ] [ previous page ] [ DS5.1 index ]

INDEX_NN1

ANGELFISH_NP1 page_NN1 10_MC

ATTACK_VV0 page_NN1 8_MC

BIRDS_NP1 page_NN1 7_MC ,_, 8_MC ,_, 16_MC

CAMOUFLAGE_VV0 page_NN1 14_MC

CATFISH_NN page_NN1 3_MC ,_, 6_MC ,_, 15_MC

CARP_VV0 page_NN1 3_MC ,_, 5_MC ,_, 12_MC ,_, 15_MC

CHICHLIDS_NP2 page_NN1 16_MC

EELS_NN2 page_NN1 7_MC

EGGS_NN2 page_NN1 3_MC ,_, 7_MC

EXPENSIVE_JJ FISH_NN page_NN1 6_MC article_NN1 on_II koi_NN2 ._.

FASTEST_JJT FISH_NN page_NN1 14_MC

HUMANS_NN2 page_NN1 16_MC ,_, 17_MC ,_, 14_MC

KEEPING_VVG FISH_NN page_NN1 6_MC "_"

KELT_NN1 page_NN1 7_MC

KINGFISHER_NN1 page16_FO

KOI_NP1 page_NN1 6_MC ,_, 3_MC ,_, and_CC 9_MC ,_,

LAND_NN1 FISH_NN page14_FO

LARGEST_JJT page_NN1 14_MC

LONGNOSE_NP1 GAR_NP1 page_NN1 6_MC

OTTER_NN1 page_NN1 16_MC

PADDLEFISH_NP1 page_NN1 4,11_MC

PARR_NP1 page_NN1 7_MC

PERCH_VV0 page_NN1 3,5_MC ._.

PIKE_NN page_NN1 4,8_MC ,_,

PLACE_VV0 TO_TO GO_VVI page_NN1 17_MC

RACING_VVG HORSES_NN2 page_NN1 6_MC

ROACH_NP1 page_NN1 5,12_MC

ROSY_NP1 BARB_NP1 page_NN1 15_MC

SALMON_NN page_NN1 4_MC ,_, 7_MC ,_, 13_MC ,_, 15_MC

SILVER_NP1 BREAM_NN page_NN1 5_MC ,_, 12_MC

SMALL_JJ page_NN1 14_MC

SMOLT_NP1 page_NN1 7_MC

SPECIES_NN page15_FO

STURGEON_NP1 page_NN1 3_MC

TIGER_NN1 page_NN1 16_MC

TROUT_NN page_NN1 4_MC ,_, 15_MC

WATER_NN1 PLANTS_NN2 page_NN1 3_MC ,_, 6_MC ,_,

page 23 [ next page ] [ previous page ] [ DS5.1 index ]

Acknowledgements_NN2

<gap desc="personal name"> -_- For_IF deciding_VVG on_II why_RRQ I_PPIS1 chose_VVD to_TO do_VDI it_PPH1 and_CC say_VV0 why_RRQ in_II my_APPGE introduction_NN1 ._.

<gap desc="personal name"> -_- For_IF letting_VVG me_PPIO1 use_VVI the_AT computer_NN1 ,_, giving_VVG me_PPIO1 advice_NN1 on_II it_PPH1 ,_, telling_VVG me_PPIO1 information_NN1 and_CC buying_VVG the_AT Fun_JJ Fax_NN1 books_NN2 ._.

<gap desc="personal name"> -_- For_IF giving_VVG me_PPIO1 advice_NN1 on_II the_AT pictures_NN2 and_CC telling_VVG me_PPIO1 information_NN1 ._.

<gap desc="personal name"> -_- For_IF giving_VVG me_PPIO1 information_NN1 and_CC for_IF letting_VVG me_PPIO1 use_VVI his_APPGE computer_NN1 ._.

<gap desc="personal name"> -_- For_IF telling_VVG us_PPIO2 about_II and_CC taking_VVG us_PPIO2 to_II the_AT Wyre_NP1 Fisheries_NN2 and_CC telling_VVG me_PPIO1 that_CST I_PPIS1 could_VM ask_VVI one_MC1 of_IO my_APPGE Great_JJ Aunts_NN2 would_VM tell_VVI me_PPIO1 about_II Koi_NP1 ._.

<gap desc="personal name"> -_- For_IF telling_VVG me_PPIO1 also_RR about_II the_AT Fisheries_NN2 ._.

<gap desc="personal name"> -_- For_IF giving_VVG me_PPIO1 lots_PN of_IO wonderful_JJ facts_NN2 about_II Koi_NP1 ._.

<gap desc="personal name"> -_- For_IF asking_VVG a_AT1 fisherman_NN1 if_CS he_PPHS1 had_VHD caught_VVN anything_PN1 and_CC taking_VVG us_PPIO2 out_RP to_TO see_VVI some_DD fish_NN maybe_RR ,_, I_PPIS1 did_VDD no_PN121 one_PN122 else_RR !_!

<gap desc="personal name"> -_- For_IF lending_VVG his_APPGE Fact_NN1 files_NN2 ._.

<gap desc="personal name"> -_- For_IF letting_VVG me_PPIO1 use_VVI her_APPGE computer_NN1 in_II school_NN1 ._.

BOOKS_NN2

MICROSOFT_NP1 ENCARTA_NP1 1995_MC ._.

COLLINS_NP1 DICTIONARY_NN1 ._.

INVITATION_NN1 TO_II NISHIKIGOI_NP1 (_( Koi_NP1 fish_NN magazine_NN1 ._. )_)

FUN_JJ FAX_NN1 -_- By_II Steve_NP1 Parker_NP1 ._.

LIBRARY_NN1

FISH_NN -_- By_II J._NP1 Bailey_NP1 ._.

FISHES_NN2 -_- By_II G._NP1 Vevers_NP1 ._.

FRESH_JJ WATER_NN1 FISH_NN -_- By_II B._NP1 Brewster_NP1