• 沒有找到結果。

ӧങᜪဂᆫ่ᄬБय़ǴӃ߻ޑ໣ဂϩ݋ᡉҢങᜪဂᆫԖӦ୔܄ޑৡ౦Ƕ೸ၸ one-way ANOSIMଞჹ 4 ঁӦ୔ϩձ଺௖૸Ǵࢂցᕛࠠޑৡ౦ҭ཮ቹៜങᜪဂᆫޑ ಔԋǶ

ӧч೽ᕛ୔ύӅԖНݝᕛ (р౜ܭ 18 ෳઠ)ǵႝఎᕛ (15 ෳઠ)ǵᒳ៓ᕛ (23

ෳઠ)ǵᅕಭᕛ (3 ෳઠ) Ϸैᝮᕛ (3 ෳઠ) ϖᅿᕛࠠǴങᜪဂᆫಔԋӧᕛࠠ໔൳ ЯؒԖৡ౦ (ANOSIM, global R=0.104)Ƕ

Ջࠄᕛ୔ύӅԖНݝᕛ (6 ෳઠ)ǵႝఎᕛ (2 ෳઠ)ǵᒳ៓ᕛ (8 ෳઠ)ǵᅕಭᕛ (9ෳઠ) ѤᅿᕛࠠǴങᜪဂᆫಔԋӧᕛࠠ໔ҭΜϩᜪ՟ (ANOSIM, global

R=0.224)Ƕ

ܿࠄᕛ୔ύӅԖНݝᕛ (7 ෳઠ)ǵႝఎᕛ (12 ෳઠ)ǵᒳ៓ᕛ (7 ෳઠ)ǵैᝮ ᕛ (4 ෳઠ) ѤᅿᕛࠠǴങᜪဂᆫಔԋӧᕛࠠ໔Ԗৡ౦Ӹӧ (ANOSIM, global

R=0.29)ǴࣁΑᕕှব٤ᕛࠠ೷ԋৡ౦ǴӢԜ຾Չᕛࠠϐ໔ޑଛჹϩ݋ (pairwise tests)Ǵ่݀ว౜ᒳ៓ᕛᆶैᝮᕛޑങᜪဂᆫಔԋԖᡉ๱ৡ౦ (R=0.926) (߄ 3)Ƕ

ᚆ৞ᕛ୔ӅԖႝఎᕛ (6 ෳઠ)ǵᒳ៓ᕛ (5 ෳઠ)ǵैᝮᕛ (7 ෳઠ) ΟᅿᕛࠠǴ ങᜪဂᆫಔԋӧᕛࠠ໔ҭԖৡ౦ (ANOSIM, global R=0.343)Ǵଛჹϩ݋ύǴႝఎᕛ ᆶᒳ៓ᕛ໔ӧങᅿಔԋ΢Ԗᡉ๱ৡ౦ (R=0.824) (߄ 4)Ƕч೽ᆶՋࠄ୔ޑෳઠǴങ ᜪဂᆫಔԋӧѤᅿόӕᕛࠠ໔ؒԖܴᡉৡ౦Ǵܿࠄᆶᚆ৞୔ޑෳઠ໻೽ϩᕛࠠ໔ Ԗৡ౦Ƕ

3.2.2 ғނဂᆫࡰ኱ޑКၨ

аނᅿᙦ൤ࡋࡰ኱ǵӭኬ܄ࡰ኱ᆶ֡Ϭࡋࡰ኱բࣁғނဂᆫࡰ኱ǴΟ໨ᡂኧ ϩձ຾Չ Kruskal-Wallis Test ᔠᡍੇୱ໔ဂᆫࡰ኱ࢂցԖৡ౦Ǵ่݀ᡉҢނᅿᙦ൤

ࡋࡰ኱ (Kruskal-Wallis test, ͞2=91.074, p<0.001)ǵӭኬ܄ࡰ኱ (Kruskal-Wallis test,

͞2=57.215, p<0.001) Ϸ֡Ϭࡋࡰ኱ (Kruskal-Wallis test, ͞2=28.013, p<0.001) ӧ ѤঁӦ୔ࣣԖᡉ๱ৡ౦ (߄ 5Ǵკ 4)Ǵа Mann-Whitney Test КၨٿٿӦ୔໔ғނ ဂᆫࡰ኱ޑৡ౦௃׎Ǵӧނᅿᙦ൤ࡋࡰ኱Бय़Ǻᚆ৞ > ܿࠄ > ч೽ > Ջࠄǹӭ ኬ܄ࡰ኱Бय़Ǻᚆ৞ > ܿࠄ > ч೽ = Ջࠄǹ֡Ϭࡋࡰ኱Бय़Ǻᚆ৞ > ܿࠄ = Ջ ࠄ > ч೽ (߄ 6)Ƕ

ѤঁӦ୔ϩձӆа Kruskal-Wallis Test ϩ݋ӕӦ୔ϣόӕᕛࠠࢂցჹғނဂᆫ

ࡰ኱೷ԋቹៜǴ่݀ᡉҢѤঁӦ୔ϣόӕᕛࠠޑΟᅿғނဂᆫࡰ኱ࣣคᡉ๱ৡ౦ (߄ 7)Ƕ

3.2.3 ങᜪᕴ׀ኧ܈ғނໆޑৡ౦܄

೸ၸങᅿᡏߏᆶᕴ׀ኧၗ਑ीᆉӚঁങᅿғނໆǴӆஒ؂ঁෳઠр౜ޑങᅿ уᕴளډӚঁෳઠޑᕴғނໆǶճҔ Kruskal-Wallis Test ᔠᡍѤঁӦ୔ങᜪᕴ׀ኧ ᆶғނໆࢂցԖৡ౦Ǵ่݀ᡉҢᕴ׀ኧ (Kruskal-Wallis test, ͞2=23.625, p<0.001)

܈ғނໆ (Kruskal-Wallis test, ͞2=18.72, p<0.001) ӧѤ୔ੇୱࣣԖᡉ๱ৡ౦ (߄ 8Ǵკ 5)Ƕа Mann-Whitney Test КၨٿӦ୔໔ᕴ׀ኧᆶғނໆ኱ޑৡ౦௃׎Ǵӧ ᕴ׀ኧБय़Ǻч೽ = ܿࠄ > Ջࠄ = ᚆ৞ǹғނໆБय़Ǻܿࠄ > ᚆ৞ = ч೽> Ջ ࠄ (߄ 9)Ƕ

Ѥ୔ੇୱϩձӆа Kruskal-Wallis Test ϩ݋ӕ୔ੇϣόӕᕛࠠࢂցჹᕴ׀ኧ܈

ғނໆ೷ԋቹៜǴ่݀ᡉҢѤঁӦ୔ύޑᕛࠠёૈჹᕴ׀ኧ܈ғނໆౢғቹៜ (߄ 10)Ƕч೽ᕛ୔ғނໆӧᕛࠠ໔Ԗᡉ๱ৡ౦ (Kruskal-Wallis test, ͞2=12.882, p=0.012) (კ 6Ǵ߄ 11)Ǵ࿶ၸ Mann-Whitney Test Кၨٿٿόӕᕛࠠৡ౦ࡕǴैᝮ ᕛᆶᒳ៓ᕛғނໆᡉ๱ଯܭНݝᕛᆶᅕಭᕛǴᕴ׀ኧБय़߾คᡉ๱ৡ౦ǹՋࠄᕛ

୔ғނໆӧᕛࠠ໔ҭԖᡉ๱ৡ౦ (Kruskal-Wallis test, ͞2=8.911, p=0.031) (კ 6Ǵ ߄ 11)ǴMann-Whitney Test ่݀ᡉҢᅕಭᕛғނໆᡉ๱ଯܭНݝᕛǴԶᕴ׀ኧคᡉ

๱ৡ౦ǹܿࠄᕛ୔ᕛࠠӕኬӧғނໆ΢೷ԋᡉ๱ৡ౦ (Kruskal-Wallis test, ͞

2=19.86, p<0.001) (კ 6Ǵ߄ 11)ǴMann-Whitney Test ่݀ᡉҢόӕᕛࠠғނໆελ ޑৡ౦௃׎ࣁǺैᝮᕛ > ႝఎᕛ = ᒳ៓ᕛ > НݝᕛǴᕴ׀ኧБय़ҭคᡉ๱ৡ౦ǹ ᚆ৞ᕛ୔ᕴ׀ኧӧᕛࠠ໔Ԗᡉ๱ৡ౦ (Kruskal-Wallis test, ͞2=8.911, p=0.031) (კ 6Ǵ߄ 11)ǴMann-Whitney Test ่݀ᡉҢόӕᕛࠠᕴ׀ኧӭჲޑৡ౦௃׎ࣁǺႝఎ ᕛ > ᒳ៓ᕛ = ैᝮᕛǶ

3.3 ᕉნӢηЬԋϩϩ݋

ࣁΑஒӚങᕛ୔ၨόቹៜങᜪဂᆫޑۭ෈ғނᙟᇂ౗௨ନǴԶ຾Չҁ໨ϩ݋Ƕ २Ӄа 12 ᅿۭ෈ғނᙟᇂ౗຾ՉЬԋϩϩ݋ (PCA)Ǵϩ݋܌ளϐಃ΋ືЬाӢη ࣁᝯᜪǴಃΒືࣁੇᆟᆶ೬࣑ྴǴٿঁື܌ಕᑈૈှញᡂ౦ޑໆࣁ 65.4% (კ 7)Ƕ ਥᏵԜ΋่݀Ǵஒځύ੝ቻӛໆ (eigenvectors) ၨλޑӢηǴхࡴੇဗǵ೬ᡏǵҘ

ෘᜪǵ඿Ҝ୏ނϷऱឿ୏ނ฻уа௨ନǴќа੝ቻӛໆၨଯޑΎᅿۭ෈ғނӢηǴ у΢Нྕǵᕴᙟᇂ౗ǵۭ፦ᜪࠠǵ؇ᑈނࠆࡋϷૈـࡋ฻຾ՉЬԋϩϩ݋Ƕ่݀

ᡉҢǴӧങᜪဂᆫޑϩ୔ύǴܿࠄǵᚆ৞ങᕛ୔ޑᝯᜪᙟᇂ౗ǵᕴғނᙟᇂ౗Ϸ

ૈـࡋၨଯǹՋࠄങᕛ୔߾ۭ፦ၨಒǵᕛᡏ΢؇ᑈނၨࠆ (კ 8)Ƕ

3.4 ᕉნӢηᆶങᅿಔԋᜢ߯

а BIO-ENV БݤਥᏵ೚ӭᕉნӢηಔӝीᆉᆶങᜪဂᆫಔԋޑ࣬ᜢ܄Ǵ൨פ

೷ԋങᜪဂᆫಔԋৡ౦ޑЬाᕉნӢηǴ่݀ᡉҢۭ፦ᜪࠠǵૈـࡋᆶጎࡋࢂ೷

ԋৡ౦ޑЬाᕉნӢη (͙w=0.647) (߄ 12)Ƕ

3.5௨ׇϩ݋

२Ӄஒങᅿޑဂᆫၗ਑຾Չफ़ᖿჹᔈϩ݋ (DCA)Ǵᒧ᏷аڂࠠჹᔈϩ݋

(CCA) ࣁ௨ׇޑኳࠠǶෳઠᆶᕉნᡂໆӧಃ΋ఊࡋືکಃΒఊࡋື΢ޑϩѲ࿶а ᚈׇკ (bioplot) ߄Ң (კ 9)Ƕှ݋ਔǴෳઠᆶෳઠ܈ނᅿᆶނᅿ໔ޑຯᚆࣁьБ ຯᚆ (Chi-square distance)Ǵຫௗ߈߄Ңෳઠӧނᅿಔԋޑৡ౦܄ຫλ܈ࢂނᅿޑ ϩѲৡ౦ၨλǶᕉნᡂኧጂᓐ໔ޑ֨فё߄ҢᕉნӢη໔ޑ࣬ᜢ܄Ǵऩ֨فև 90 ࡋ߾ࣁό࣬ᜢǹෳઠᆶᕉნᡂໆϐ໔ޑᜢ߯߾ёճҔෳઠჹᕉნӢηጂᓐБӛ଺

׫ቹ߄ҢǶკύᡉҢǴӃ߻ϐങᜪ໣ဂϩ݋ϩԋޑѤεᜪဂϣޑӚങᕛ୔ҭᆙஏ ϩѲԋဂǴځύᆶಃ΋௨ׇື࣬ᜢ܄ၨεޑᕉნӢηϩձࣁૈـࡋ (࣬ᜢ߯ኧǺ 0.849)ǵᝯᜪ (0.6523)ǵᕴғނᙟᇂ౗ (0.427)ǵጎࡋ (-0.6597)ǵۭ፦ᜪࠠ (-0.6488) ᆶ؇ᑈނࠆࡋ (-0.4889)Ǵ೭٤Ӣηӕਔૈ୼ှញᚆ৞ǵܿࠄෳઠޑϩ୔౜ຝǶԜ ѦǴᆶಃΒ௨ׇື࣬ᜢ܄ၨεޑᕉნӢηЬाࣁጎࡋ (-0.5525)Ǵځ٠Ъёૈࢂ೷

ԋч೽ෳઠᆶՋࠄෳઠϩᚆޑख़ाӢηǶ

а SIMPER פрӚ୔ޑж߄ങᅿ (߄ 12)Ǵϩձࣁч୔Ǻᐪ׀Ӏភഒ᜶ (Chromis fumea)ǵΟጕᚊങ (Parapristipoma trilineatum)ǵъጕϺޞ᜶ (Apogon semilineatus)ǵ ጂϺޞ᜶ (Rhabdamia gracilis) ϷϤඬΒᏁⰦ (Diodon holocanthus)Ƕഒ᜶ᆶϺޞ᜶

ࣣឦܭ۟ᕛ܄ဂۚങᜪǴ१ੌෞғނ܈λࠠคૉ෎୏ނǹϤඬΒᏁⰦୃӳܭ؅ݝ

೬ۭ፦΢ਂ१ۭ෈คૉ෎୏ނǹဂෞ܄ޑΟጕᚊങ౽୏ૈΚ٫ǴᲉෞܭӚঁᕛ୔

ڬᎁޑ؅፦ۭ፦೔१ǶՋࠄ୔Ǻᙔཥഒ᜶ (Neopomacentrus cyanomos)ǵआ஥ᔕ޸

ᢙ (Pseudanthias rubrizonatus) Ϸୁ஥Ϻޞ᜶ (Apogon pleuron)Ƕୁ஥Ϻޞ᜶ᆶआ

஥ᔕ޸ᢙࣣୃӳ؅ݝۭ፦ޑੇୱǹᙔཥഒ᜶߾தـܭ۞ᜐ܈Ѧੇޑᕛ୔Ƕܿࠄ୔Ǻ Ѥ஥ᚊങ (Pomadasys quadrilineatus)ǵߎᔕ޸ᢙ (Pseudanthias squamipinnis)ǵ຋

যങ (Labroides dimidiatus)ǵқ֍ᚈ஥ҥᄡ᜶ (Heniochus acuminatus) Ϸᒯ׀᜶

(Prionurus scalprum)ǶѤ஥ᚊങឦܭቶݱϩѲޑങᅿǴᕛ۟ᆶ؅Ӧࣣёـǹߎᔕ޸

ᢙǵқ֍ᚈ஥ҥᄡ᜶ᆶ຋যങࣣ෈৲ങ࣑ྴᕛੇୱǹᒯ׀᜶߾ᲉෞܭӚঁᕛ୔໔Ƕ ᚆ৞୔Ǻፃඬڈ׀᜶ (Acanthurus nigrofuscus)ǵլМጷጸങ (Chaetodon kleinii)ǵ Οඬ༝ഒ᜶ (Dascyllus trimaculatus)ǵߎ஥ᔕᠣ᜶ (Mulloidichthys vanicolensis) Ϸ ف៑ങ (Zanclus cornutus)Ƕፃඬڈ׀᜶ឦܭభНୱങᅿǴЬा෈৲ܭᕛҡޑۭ೽ǹ լМጷጸങᆶΟඬ༝ഒ᜶Ьा෈৲ܭ࣑ྴᕛੇୱǹف៑ങ߾தـܭమᅒޑ࣑ྴᕛ

؇ᑈނࠆࡋϷᛯ൙ᙟᇂ౗ (߄ 14)ǶӧՋࠄ୔Бय़Ǵᆶಃ΋௨ׇື࣬ᜢ܄ၨεޑᕉ (69.08%)ǴӵΟጕᚊങ (Parapristipoma trilineatum) ᆶచҡ᜶ (Oplegnathus

fasciatus)ǴԶ᎟஥ҡඬങ (Epinephelus lanceolatus)ǵᅦ܎Ѓҡඬങ (E. malabaricus)ǵ ሌદಂ᜶ (Lutjanus argentimaculatus) ฻Ժ१܄ങᅿኧໆ΢ᗨϿǴՠځғނໆჹ१

ۭ෈คૉ෎୏ނϷ१ങ१܄ᜪဂޑғނໆԖ೽ϩଅ᝘ (߄ 15)Ƕ

Ջࠄᕛ୔ӧ१܄่ᄬಔԋޑኧໆԭϩК΢ǴКٯനଯޣࣁۭ෈คૉ෎୏ނ१

܄ (41.57%)ǴǴځԛࣁੌෞ୏ނ१܄ (31.66%) ϷԺ१܄ (20.75%)Ƕੌෞ୏ނ१

܄ჹᕴғނໆଅ᝘όଯ (7.29%)ǴԺ१܄ޑሌદಂ᜶ (L. argentimaculatus)ǵᅦ܎

Ѓҡඬങ (E. malabaricus)ǵΐڈ〝ឦ҂᠘ۓᅿ (Cephalopholis sp.) ฻ᆶ१ۭ෈ค

ૉ෎୏ނޑൂඬಂ᜶ (L. monostigma) ᆶ޸೬য (Plectorhinchus cinctus) ޑғނໆ ࣁԜ୔Ьा१܄ᄬԋ (߄ 15)Ƕ

ܿࠄᕛ୔ӧኧໆ΢՞ᓬ༈ޑࣁੌෞ୏ނ१܄ (34.38%)ǵۭ෈คૉ෎୏ނ१܄

(34.09%) Ϸ࣑ྴᙝ१܄ (17.46%)ǴԶԜ୔మዅ१܄܌՞ޑኧໆКӧѤ୔ύനଯ (0.96%)Ƕӧख़ໆԭϩК΢Ǵۭ෈คૉ෎୏ނ१܄ҁيғނໆόեѦǴᚇ१܄ޑങ ᜪӵᒯ׀᜶ (Prionurus scalprum)ǵ᠄ݢᇂڈങ (Pomacanthus semicirculatus) ฻ჹ ܭᝯ१܄ (20.24%) Ϸۭ෈คૉ෎୏ނ१܄ (58.6%) ޑғނໆ΢ԖόϿଅ᝘ (߄ 15)Ƕ

ᚆ৞ᕛ୔ӧങᅿ१܄่ᄬಔԋޑኧໆԭϩКܴᡉ໣ύӧੌෞ୏ނ१܄΢

(71.77%)Ǵځд१܄ᜪձޑങᅿӧᚆ৞ᡉள࣬ჹีϿǶவख़ໆԭϩКٰ࣮Ǵᝯ१܄

ޑКख़ౣեܭܿࠄᕛ୔ (10.81%)Ǵ࣑ྴᙝ१܄߾کܿࠄᕛ୔ৡόӭ (1.38%)Ǵੌ

ෞ୏ނ१܄ (44.42%) کۭ෈คૉ෎୏ނ१܄ (39.04%) ܌՞ޑख़ໆЬाҗ၀୔

Ժ१܄ങᜪӵඬߎ㲸 (Cirrhitichthys aprinus)ǵᡖيᇘૅ㋗ (Gymnothorax eurostus)ǵ ߎ㲸 (C. aureus) ฻܌ଅ᝘Ƕ

စǵ૸ፕ

ӧࠄчٿεӦ౛୔ᡉ๱ޑৡ౦ (Chen et al. 1992; Shao et al. 1993ǹᔎǴ2006)ǶਥᏵ

໣ဂϩ݋ᆶ MDS ޑ่݀ (კ 2Ǵკ 3)ǴѠ᡼ڬൎੇୱΓπങᕛ୔ങᜪဂᆫ٩ങᅿ

௃׎วғӧч೽ᕛዬᆶᐱҥᕛǴӧങᅿኧৡ౦όεޑ௃ݩΠǴᕴ׀ኧၨεޑᐱҥ

(Prionurus scalprum) کѤ஥ᚊങ(Pomadasys quadrilineatus)Ƕᚆ৞ޑᕴ׀ኧၨեǴ

ோӧғނໆ໻ԛܭܿࠄᕛ୔ǴځύӾવᐪങ (Platax teira) کϤ඿ሷങ (Naso hexacanthus) ޑଅ᝘ࡐεǶӧՋࠄ୔ੇୱǴӢϺޞ᜶ᆶഒ᜶ޑᡏࠠၨλǴѬॺჹങ ᕛ୔ޑ᏾ᡏങᜪғނໆޑଅ᝘٠όεǶ

คፕӧങᜪޑဂᆫಔԋǵဂᆫࡰ኱܈ࢂᕴ׀ኧᆶғނໆǴӧѤঁ୔ੇୱ໔ࣣ

Ԗܴᡉৡ౦Ǵёـ׫ᕛᒧ֟ޑ٣߻πբߚதख़ाǴىа،ۓ׫ᕛࡕങᜪဂᆫޑಔ ԋ่ᄬ (Bohnsack and Sutherland 1985)Ƕ

4.2 όӕᕛࠠჹങᜪဂᆫޑቹៜ

ҁࣴزӅፓࢗϖᅿόӕᜪࠠޑΓπങᕛǴхࡴНݝᕛǵႝఎᕛǵᒳ៓ᕛǵᅕ

ಭᕛǵैᝮᕛ฻ǴନΑᕛࠠҁي׷፦ޑৡ౦ϐѦǴНݝᕛکᒳ៓ᕛࣁ஑ߐ೛ीޑ Γπ่ᄬᡏǴᕛᡏޑᄬࠠૈ୼ႣӃϒа،ۓǶᕛᡏ߄य़ϾሜᆶࢰҤޑελჹܭό ӕᡏࠠޑങԖόӕޑቹៜǴᡏࠠλޑങୃӳၧᙒӧλϾࢰύǹᡏࠠัε܈౽୏ૈ

ΚமޑങύჹܭϾ৩ελΞԖόӕሡ؃ (Hixon and Beets 1989; Wilson et al. 2007)Ǵ

٬ҔНݝᕛ܈ᒳ៓ᕛޑӳೀߡࢂૈ୼ଞჹҞ኱ങᅿ଺ႣӃޑᄬࠠ೛ीǶНݝᕛҁ ଫࠖМ౦நӓᠧ (Heteroconger hassi )ǴฅԶӧځӧғނໆ΢ޑଅ᝘٠όεǴЪځ р౜ᆶΓπങᕛ೛࿼ᆶցၨค࣬ᜢǶٿ০ᒳ៓ᕛύр౜εໆޑӾવᐪങ (Platax teira)ǴᏤठᒳ៓ᕛෳઠޑғނໆр౜ཱུଯॶǶ

ч೽کܿࠄᕛ୔ैᝮᕛᆫങਏ݀ؼӳǴᔈᆶैᝮᕛҁي่ᄬፄᚇԖᜢǴЪҗ

ܭಭيᕛᡏࠟޔଯࡋǴ৒ܰ֎Ї߄ቫᆶۭ෈ޑങᅿǴ࣬ၨܭځдᕛࠠԖၨଯޑғ ނໆ (Lukens and Selberg 2004)ǶฅԶಭᝮޑ่ᄬڙډረ॥ቹៜޑำࡋό΋ǴBell and Hall (1994) ᇡࣁ 50 ϦЁаభޑಭᕛ৒ܰڙډமਗ਼ረ॥ቹៜԶՏ౽Ƕӧᆘ৞ᆶ λ੥ౚޑैᝮᕛǴڙډӚᅿނ౛܄ޑߟᇑբҔǴε೽ϩಭيςှᡏᘐ຋Ǵᕛᡏ่

ᄬ࿗ТණѲǴӢԜӧᆫങਏ݀΢εѺשԌǶ

4.3 ങᜪဂᆫϩѲᆶᕉნӢηᜢ߯

BIO-ENVճҔόӕᕉნӢηಔӝीᆉᆶങᜪဂᆫޑ࣬ᜢ߯ኧǹCCA ߾ࢂஒങ ᜪဂᆫύޑނᅿനεᡂϯໆӧᕉნఊࡋ΢և౜рٰǶٿᅿϩ݋Бݤޑ่ࣣ݀ࡰр ቹៜѤঁ୔ୱങᜪဂᆫಔԋৡ౦ޑᕉნӢηࣁጎࡋǵૈـࡋǵۭ፦ᜪࠠǴЪ CCA

่݀ࡰрᕴғނᙟᇂ౗ǵᝯᜪᆶ؇ᑈނࠆࡋჹങᜪဂᆫΨԖቹៜǶBriggs (1995) ᇡ ࣁғނӭኬ܄ᒿ๱዗஥۳ྕ஥Զሀ෧ǹӧҁ໨ࣴزύǴങᜪဂᆫݮ๱ܿч-Ջࠄޑ Ϫጕև౜ࠄчٿεϩဂǴӧܿࠄᆶᚆ৞ᕛ୔Ԗၨଯޑങᅿӭኬ܄ǴЬाӢࣁᕛᡏ

܌ӧՏ࿼ڙډόӕޑࢩࢬس಍܌ቹៜǴёـጎࡋᆶ࿶ࡋჹܭങᜪဂᆫ่ᄬڀԖख़ εޑቹៜǶ߻ΓࣴزᇡࣁྕࡋࢂቹៜങᜪဂᆫനЬाޑӢη (Bortone et al. 1994;

Shao et al. 1997; Ferreira et al. 2004)ǴਥᏵ୯ࣽ཮ੇࢩᏢߐၗ਑৤ύޑНЎᆶੇࢬ಍

ी่݀ǴѠ᡼ڬൎੇୱ 30 ϦЁుӧহۑ (6~8 Д) НྕؒԖܴᡉৡ౦ǴҗܭϺ਻ǵ Cyrus and Blader (1987) ߾ᇡࣁᕉნషᐜࡋଯǴૈ୼෧ϿѴങ೏ਂ१ǶԶ؇ᑈނࠆ ࡋჹങᜪဂᆫࣁ໔ௗቹៜǴۭ෈ߕ๱ғނڙډ؇ᑈނޑቹៜ׳ࣗǴٯӵ؇ᑈނޑ

୴ᑈ཮Ꮴठ࣑ྴ౾৲ǴࣗԿቹៜډځдคૉ෎୏ނޑޑߕ๱ (Birrell et al. 2005ǹᔎǴ

2006)Ƕӧ CCA ޑ่݀ύǴᚆ৞ǵܿࠄᆶՋࠄᕛ୔ޑങᜪဂᆫᆶෳઠᒿ๱ૈـࡋɡ

ۭ෈ғނҁيҭڙډځдᕉნӢη܌ቹៜǹFabricius et al. (2005) ᆶ McClanahan et al. (2007) ࡰрᝯᜪޑᙟᇂ౗ϷғނໆڙډᔼᎦᡶӭჲ܌ቹៜǴԶᝯᜪޑӀӝբҔ ਏ౗ΞᆶӀጕԖᜢǴుࡋຫుǴНᡏషᐜࡋຫଯǴӀӝբҔޑਏ౗ߡຫৡǶѠ᡼

ڬᎁੇୱᔼᎦᡶϩѲҗύ୯ݮ۞Կ໵ዊሀ෧ (Zhang et al. 2007)ǴᏃᆅࠄ᡼җܭᔼ ᎦᡶቚуϷ१ᝯ܄ങᜪ೏౽ନᏤठ࣬ᡂ (Chang and Tseng 2010)Ǵӧځдܿࠄᆶᚆ

৞Ӧ୔٠คޔௗ᛾ᏵࡰрᔼᎦᡶޑቚу೷ԋၨଯޑᝯᜪᙟᇂ౗ǶҗܭΓπങᕛ୔

ޑϩѲుࡋǴӧ୔ୱ໔٠คܴᡉৡ౦ǴӢԜܿࠄᆶᚆ৞Ӧ୔Ԗၨଯޑᝯᜪᙟᇂ౗Ǵ ԜᔈᆶН፦ၨమᅒǵӀጕऀ೸ࡋଯԖᜢǶBaynes and Szmant (1989) ᇡࣁߕ๱ғނ ޑᙟᇂ౗ᆶނᅿӭኬ܄ڙډੇࢬޑம১ᆶ؇ᑈբҔԖᜢǴܿࠄǵᚆ৞ᕛ୔ၨଯޑ

4.4 ങᜪဂᆫᆶ१܄ಔԋ

ӧ΋ঁങᜪဂᆫύǴങᅿӧ१܄΢ҭڀԖӭኬ܄ǶӧԖज़ޑёճҔၗྍΠǴ ғނ໔วғᝡݾ౜ຝǴ٠ॐ٬дॺϩଛ٬Ҕόӕޑၗྍ (Ross 1986)Ƕᙖҗϩ݋१

܄фૈဂޑಔԋǴૈᔅշךॺ౛ှ१ނᆛύૈໆᆶғނໆޑࢬ୏௃׎ (Garrison and Link 2000b)Ƕӧۭ෈ғނᆶങᜪဂᆫޑ࣬ᜢ܄ࣴزύǴԖёૈр౜ਂ१ޣᆶ१ ނև౜҅࣬ᜢǴΨԖёૈӢࣁਂ१ਏᔈΠǴਂ१ޣӭԶ१ނ෧ϿǴӢԶόܰளډ

คૉ෎୏ނޑങᜪࢂനЬाޑ१܄ᜪဂ (Ebeling and Hixon 1991; Jones et al. 1991)Ǵ

෈৲ӧч೽ങᕛ୔ڬൎޑۭ෈คૉ෎୏ނޑၗྍໆᔈ࣬྽ᙦ൤ǴБىаගٮ१ۭ

܄ϷԺ१܄ങᜪӵಂ᜶ᆶҡඬ฻ǴӢԜՋࠄᕛ୔ύ१ങ१܄՞ғނໆޑԭϩКၨ

ځдӦ୔ٰளଯǶ

ܿࠄᕛ୔ғނໆԭϩКၨଯޑࣁۭ෈คૉ෎୏ނ१܄ᆶᝯ१܄Ǵځύ΋೽ϩ х֖ᚇ१܄ǶFerreira et al. (2004) ᇡࣁᚇ१܄ޑങᜪϩѲӧጎࡋၨଯޑӦ୔Ǵҗܭ १܄ၨڀቸ܄Ǵय़ჹۑ࿯܄ޑᕉნᘋ୏ਔ཮ڀԖᓬ༈Ƕӧҁ୔ੇୱങᕛ୔ύǴᚇ १܄ύғނໆଅ᝘നଯޑᒯ׀᜶ (Prionurus scalprum) ٠όڀԖଯጎࡋϩթǴЪӧ ௨ׇკύҭᆶᝯᜪޑ࣬ᜢ܄όଯǴӢԜۭ෈คૉ෎୏ނёૈࣁځၨୃӳޑ१ނٰ

ྍǶ

ᚆ৞ᕛ୔१ੌෞ୏ނޑങᜪӧኧໆ΢܈ғނໆ΢܌՞ޑԭϩК࣬྽ଯǴԜԖ ౦ܭځдΟ୔ǶSheppard et al. (2009) ᇡࣁ१ੌෞ୏ނങᜪޑ१ނନΑҗࢩࢬவѦ Ӧ஥ٰаѦǴ΋೽ϩٰԾܭᕛ୔Ǵхࡴ࣑ྴӕ؁໣ᡏౢռǴ܈ࢂځдคૉ෎୏ނ

܈ങᜪ܌ញܫޑଛη฻ǶԜѦǴ໵ዊࢬ࿶ᆘ৞ߕ߈ڙډӦ׎ᆶࢩࢬᓸΚޑቹៜΠǴ

ੇୱр౜෢ϲࢬǴ٬ளᔼᎦᡶቚуǴ஥ٰεໆޑੌෞғނǴᆫ໣౲ӭޑ१ੌෞ୏

ނങᜪӧԜ೔१ (णǴ2008)Ƕ

᏾ᡏԶقǴӧΓπങᕛ୔നЬाޑ१܄ᄬԋࣁۭ෈คૉ෎୏ނ१܄ǴᆶӃ߻

ࣴزᜪ՟ (Khalaf and Kochzius 2002; Relini et al. 2002; Ferreira et al. 2004; Floeter et al. 2004)ǶԾᔼ܄ғᄊسӧܿࠄᆶᚆ৞ᕛ୔ၨёૈр౜Ǵӧ೭ٿ୔ҭதـ࣑ྴᙝ१

ࢂܿࠄᕛ୔ޑैᝮᕛᆶᒳ៓ᕛӧങᜪဂᆫಔԋ΢ڀԖৡ౦Ǵч೽ᆶܿࠄᕛ୔ޑै

ᝮᕛങᜪғނໆ׳ࢂᡉ๱ଯܭځдᕛࠠǴԶځдᕛࠠ໔ޑৡ౦߾όܴᡉǶ

ӧቹៜങᜪဂᆫϩဂޑᕉნӢηύǴനЬाޑӭឦߚғނ܄ޑᕉნӢηǴٯ ӵᕛᡏޑՏ࿼ (࿶ࡋᆶጎࡋ)ǵᕉნޑރݩ (ૈـࡋǵ؇ᑈނǵۭ፦ᜪࠠ) ฻ǴԶۭ

෈ғނ࣬฻ғނ܄ޑᕉნӢη߾ࣁቹៜങᜪဂᆫޑԛाӢηǶ

१܄่ᄬޑϩ݋ᡉҢۭ෈คૉ෎୏ނ१܄ࣁӚᕛ୔Ьाޑ१܄ᜪဂǹќՋࠄ ᕛ୔ӭԺ१܄ങᜪǵᚆ৞ᕛ୔ӭੌෞ୏ނ१܄ങᜪǹܿࠄϷᚆ৞ᕛ୔ᝯᜪᙟᇂ౗

ଯǴΨԖၨଯޑ१ᝯ܄ങᜪဂᆫǴ१࣑ྴᙝᆶమዅ१܄ޑങᜪҭதр౜Ǵ࣬ၨԶ قǴч೽ᆶՋࠄᕛ୔१܄่ᄬޑಔԋ΢߾࣬ჹൂપǶฅԶ൩࿶ᔮ܄ങᅿޑ୻ػ΢Ǵ ч೽ᆶՋࠄᕛ୔ޑਏ݀ၨܴᡉǶࡺӧΓπങᕛޑೕჄᆶᆅ౛΢Ǵە൩׫ܫ೛࿼Γ πങᕛޑҞޑόӕǴϩ୔ԵໆǶ

ҴǵୖԵЎ᝘

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ഌǵკ

კ 1. Ѡ᡼ڬൎੇୱ 135 ০ΓπങᕛෳઠޑϩѲՏ࿼ǶෳઠᚑՅ٩ങᜪဂᆫ໣ဂϩ

݋่݀ϩࣁѤ୔Ƕ( Ǻч೽ǹ ǺՋࠄǹ Ǻܿࠄǹ Ǻᚆ৞)

40

კ2.Ѡ᡼ڬൎੇୱ135০Γπങᕛෳઠങᜪဂᆫ่ᄬޑ໣ဂϩ݋่݀Ƕ(Ǻч೽ǹǺՋࠄǹǺܿࠄǹǺᚆ৞)

კ 3. Ѡ᡼ڬൎੇୱ 135 ০Γπങᕛෳઠޑങᜪဂᆫ MDS ϩ݋่݀Ƕ( Ǻч೽ǹ ǺՋࠄǹ Ǻܿࠄǹ Ǻᚆ৞)

კ 4. Ѡ᡼ڬൎੇୱѤঁϩ୔ޑΓπങᕛෳઠ໔ޑങᜪဂᆫࡰ኱КၨǶ

(ˇǺύՏኧǹɍǺѤϩՏຯǴIQRɨQ3-Q1ǹ˃ǺQ3+1.5*IQRǹ˂ǺQ1-1.5*IQRǹ Ǻᚆဂॶǹ Ǻཱུᆄᚆဂॶ)

კ 5. Ѡ᡼ڬൎੇୱѤঁϩ୔ޑΓπങᕛෳઠ໔ޑങᜪᕴ׀ኧᆶғނໆКၨǶ

კ 6. Ѡ᡼ڬൎੇୱӚϩ୔ύόӕᕛࠠޑΓπങᕛෳઠങᜪᕴ׀ኧϷғނໆКၨǶ

კ 7. Ѡ᡼ڬൎੇୱ 135 ০Γπങᕛෳઠύ 12 ᅿۭ෈ғނᙟᇂ౗ޑЬԋϩϩ݋კǶ (ෳઠᚑՅ٩ങᜪϷဂϩ݋่݀ϩ୔Ǻ Ǻч೽ǹ ǺՋࠄǹ Ǻܿࠄǹ Ǻᚆ৞)

კ 8. ୷ܭკ 7 ޑϩ݋่݀ǴࡷᒧрΓπങᕛෳઠύၨᡉ๱ޑғނ܄ᕉნӢηᆶߚ ғނ܄ᕉნӢηޑЬԋϩϩ݋კǶ

(ෳઠᚑՅ٩ങᜪϷဂϩ݋่݀ϩ୔Ǻ Ǻч೽ǹ ǺՋࠄǹ Ǻܿࠄǹ Ǻᚆ৞)

45

9.Ѡ᡼ڬൎੇୱ135০Γπങᕛෳઠᆶᕉნᡂኧϐڂࠠჹᔈϩ݋ᚈׇკǶ Ǻч೽ෳઠǹǺՋࠄෳઠǹǺܿࠄෳઠǹǺᚆ৞ෳઠ)

46

10.Ѡ᡼ڬൎੇୱ135ঁෳઠϐ18ᅿж߄܄ങᅿǵ135ঁෳઠᆶᕉნᡂኧϐڂࠠჹᔈϩ݋ΟׇკǶ Ǻч೽ෳઠǹǺՋࠄෳઠǹǺܿࠄෳઠǹǺᚆ৞ෳઠǶǺч೽Ӧ୔ж߄ങᅿǹǺՋࠄӦ୔ж߄ങᅿǹǺܿࠄӦ୔ж߄ ǹǺᚆ৞Ӧ୔ж߄ങᅿǶChr_fumǺᐪ׀Ӏភഒ᜶ǹPar_triǺΟጕᚊങǹApo_semǺъጕϺޞ᜶ǹRha_graǺጂϺޞ᜶ǹDio_holǺ ǹNeo_cyaǺᙔཥഒ᜶ǹPse_rubǺआ஥ᔕ޸ᢙǹApo_pleǺୁ஥Ϻޞ᜶ǹPse_squǺߎᔕ޸ᢙǹLab_dimǺ຋যങǹPom_quaǺ ǹHen_acuǺқ֍ᚈ஥ҥᄡ᜶ǹPri_scaǺᒯ׀᜶ǹCla_kleǺլМጷጸങǹAca_nigǺፃඬڈ׀᜶ǹDas_triǺΟ੤༝ഒ᜶ǹMul_vanǺ Zan_corǺف៑ങ)

კ 11. Ѡ᡼ч೽Γπങᕛޑж߄܄ങᅿᆶᕉნᡂኧϐϧᎩϩ݋ᚈׇკǶ

(Chr_fumǺᐪ׀Ӏភഒ᜶ǹPar_triǺΟጕᚊങǹApo_semǺъጕϺޞ᜶ǹRha_graǺ ጂϺޞ᜶ǹDio_holǺϤඬΒᏁⰦ)

კ 12. Ѡ᡼ՋࠄΓπങᕛޑж߄܄ങᅿᆶᕉნᡂኧϐϧᎩϩ݋ᚈׇკǶ (Neo_cyaǺᙔཥഒ᜶ǹPse_rubǺआ஥ᔕ޸ᢙǹApo_pleǺୁ஥Ϻޞ᜶)

კ 13. Ѡ᡼ܿࠄΓπങᕛޑж߄܄ങᅿᆶᕉნᡂኧϐϧᎩϩ݋ᚈׇკǶ

(Pse_squǺߎᔕ޸ᢙǹLab_dimǺ຋যങǹPom_quaǺѤ஥ᚊങǹHen_acuǺқ֍ᚈ

஥ҥᄡ᜶ǹPri_scaǺᒯ׀᜶)

კ 14. Ѡ᡼ڬൎᚆ৞Γπങᕛޑж߄܄ങᅿᆶᕉნᡂኧϐϧᎩϩ݋ᚈׇკǶ (Cla_kleǺլМጷጸങǹAca_nigǺፃඬڈ׀᜶ǹDas_triǺΟ੤༝ഒ᜶ǹMul_vanǺ ߎ஥ᔕᠣ᜶ǹZan_corǺف៑ങ)

ࢠǵ߄

߄ 2. Ѡ᡼ڬൎੇୱόӕӦ୔ϐΓπങᕛങᜪဂᆫಔԋ࿶ SIMPER ϩ݋่݀Ƕ

ಔ໔ѳ֡࣬౦ࡋ

Average dissimilarity ч೽ Ջࠄ ܿࠄ

Ջࠄ 85.07

ܿࠄ 86.31 87.39

ᚆ৞ 95.38 94.14 80.07

߄ 3. ܿࠄΓπങᕛ୔όӕᕛࠠങᜪဂᆫৡ౦ଛჹϩ݋่݀ǶࡴဦϣࣁኬҁኧǶ

Groups StatisticR PermutationsPossible

Actual

߄5. Ѡ᡼ڬൎੇୱѤঁΓπങᕛ୔ނᅿᙦ൤ࡋࡰ኱ (D)ǵӭኬ܄ࡰ኱ (H’) ᆶ֡Ϭ ࡋࡰ኱ (J’) ޑᡂ౦ኧϩ݋่݀ǶࡴဦϣࣁኬҁኧǶ

Kruskal-Wallis Test

Test Statistics Mean Rank

͞2 P ч೽ (62) Ջࠄ (24) ܿࠄ (30) ᚆ৞ (18) D 91.074 .000 49.48 30.92 103.90 117.67 H’ 57.215 .000 50.02 46.71 92.80 113.28 J’ 28.013 .000 51.18 72.38 75.87 103.28

߄6. Ѡ᡼ڬൎੇୱٿٿΓπങᕛ୔ނᅿᙦ൤ࡋࡰ኱ (D)ǵӭኬ܄ࡰ኱ (H’) ᆶ֡Ϭ ࡋࡰ኱ (J’) ޑMann-Whitney Testᔠۓ่݀Ƕ

Mann-Whitney Test

Ӧ୔໔Кၨ D H’ J’

U P U P U P

ч೽ Ջࠄ 442.0 .004 698.0 0.658 504.0 .021

ܿࠄ 54.0 .000 285.0 .000 578.0 .003 ᚆ৞ 15.0 .000 73.0 .000 138.0 .000 Ջࠄ ܿࠄ .000 .000 100.0 .000 342.0 .754 ᚆ৞ .000 .000 23.0 .000 111.0 .008

ܿࠄ ᚆ৞ 126.0 .002 124.0 .002 151.0 .011

54

7.Ѡ᡼ڬൎੇୱΓπങᕛӧѤঁӦ౛ϩ୔ΠǴόӕᕛࠠނᅿᙦ൤ࡋࡰ኱(D)ǵӭኬ܄ࡰ኱(H’)ᆶ֡Ϭࡋࡰ኱(J’)ޑᡂ౦ኧϩ݋่ Kruskal-Wallis Test Test StatisticsMean Rank ͞2 PНݝᕛႝఎᕛᒳ៓ᕛᅕಭᕛैᝮᕛ ч೽

(18)(15)(23)(3)(3) D5.004.28728.9426.637.0421.6738.67 H’6.956.13826.2826.6737.9126.3343.00 J’28.013.68428.3328.2734.8734.6737.67 Ջࠄ

(6)(1)(8)(9)(0) D4.356.2267.679.0014.8814.00- H’4.263.2347.838.0014.5014.33- J’2.263.5209.8317.0011.5014.67- ܿࠄ

(7)(12)(7)(0)(4) D7.318.06213.0018.339.43-22.00 H’2.394.49511.8618.0815.71-13.75 J’2.541.46812.7117.3317.57-11.25 ᚆ৞

(0)(6)(5)(0)(7) D5.729.057-13.59.00-6.43 H’2.647.266-8.1712.80-8.29 J’3.612.164-6.5012.60-9.86

߄ 8. Ѡ᡼ڬൎੇୱѤঁΓπങᕛ୔ങᜪᕴ׀ኧᆶғނໆޑᡂ౦ኧϩ݋่݀Ƕࡴဦ ϣࣁኬҁኧǶ

Kruskal-Wallis Test

Test Statistics Mean Rank

͞2 P ч೽ (62) Ջࠄ (25) ܿࠄ (30) ᚆ৞ (18) ᕴ׀ኧ 23.625 .000 82.51 45.20 71.03 44.64 ғނໆ 18.720 .000 65.40 46.32 91.43 68.00

߄ 9. Ѡ᡼ڬൎੇୱٿٿΓπങᕛ୔ങᜪᕴ׀ኧᆶғނໆޑ Mann-Whitney Test ᔠ ۓ่݀Ƕ

Mann-Whitney Test

Ӧ୔໔Кၨ ᕴ׀ኧ ғނໆ

U P U P

ч೽ Ջࠄ 377.5 .000 538.5 .026

ܿࠄ 746.0 .125 540.0 .001 ᚆ৞ 240.0 .000 550.0 .927 Ջࠄ ܿࠄ 230.0 .014 161.0 .000 ᚆ৞ 197.5 .498 134.0 .025

ܿࠄ ᚆ৞ 140.0 .006 171.0 .035

56

10.Ѡ᡼ڬൎੇୱΓπങᕛӧѤঁӦ౛ϩ୔ΠǴόӕᕛࠠങᜪᕴ׀ኧᆶғނໆޑᡂ౦ኧϩ݋่݀ǶࡴဦϣࣁኬҁኧǶ Kruskal-Wallis Test Test StatisticsMean Rank ͞2 PНݝᕛႝఎᕛᒳ៓ᕛᅕಭᕛैᝮᕛ ч೽

(18)(15)(23)(3)(3) ᕴ׀ኧ3.283.51228.6134.1332.3019.0042.00 ғނໆ12.882.01222.5036.6735.2213.0049.67 Ջࠄ

(6)(2)(8)(9)(0) ᕴ׀ኧ5.832.12010.085.5217.2512.89- ғނໆ8.911.0317.674.0015.5016.33- ܿࠄ

(7)(12)(7)(0)(4) ᕴ׀ኧ2.846.41615.7915.8811.57-20.75 ғނໆ19.860.0005.0019.4212.71-27.00 ᚆ৞

(0)(6)(5)(0)(7) ᕴ׀ኧ8.147.017-14.507.90-6.36 ғނໆ5.394.067-6.6714.00-8.71

߄ 11. ਥᏵ߄ 10 ϐϩ݋่݀Ǵ຾΋؁а Mann-Whitney Test ჹԖᡉ๱ৡ౦ޑӢη

߄12. Ѡ᡼ڬൎੇୱ135০ΓπങᕛύങᜪဂᆫᆶᕉნᡂኧޑBIO-ENVϩ݋่݀Ƕ ߄ࣁ࣬ᜢ܄ന٫ޑᕉნӢηಔӝǶ

(1: Depth; 2:ReefHeight; 3:LTemperature;4:TotalCoverage; 5: Substratum; 6: Sediment;

7: Visibility; 8: Latitude; 9: Longitude; 10:ReefArea; 11: Algae; 12: Sponge; 13:

Hydroid; 14: Hard coral; 15: Soft coral; 16: Barnacle; 17: Ascidian)

Numbers of Variables Correlation Selections

3 0.647 5,7,8

4 0.644 5,7,8,17

4 0.644 5,7,8,13

5 0.642 5,7,8,13,17

4 0.637 4,5,7,8

5 0.636 4,5,7,8,17

5 0.634 4,5,7,8,13

6 0.633 4,5,7,8,13,17

3 0.612 7,8,17

2 0.611 7,8

59

ճҔSIMPERϩ݋௨рѠ᡼ڬൎੇୱόӕΓπങᕛ୔ޑж߄܄ങᅿǶ Group ч೽Groupsч೽&ߚчGroup ՋࠄGroups Ջࠄ&ߚՋ Average similarity: 37.42Average dissimilarity = 88.12Average similarity: 30.98Average dissimilarity= 87.19 SpeciesContrib%Contrib%SpeciesContrib%Contrib% Chromisfumea31.567.73Neopomacentruscyanomos23.735 Parapristipomatrilineatum19.185.5Pseudanthiasrubrizonatus17.814.28 Apogonsemilineatus11.064.75Apogonpleuron7.583.68 Rhabdamiagracilis9.044.67 Diodonholocanthus4.283.56 Group ܿࠄGroups ܿࠄ&ߚܿGroup ᚆ৞Groups ᚆ৞&ߚᚆ Average similarity: 30.17Average dissimilarity = 85.50Average similarity: 39.44Average dissimilarity = 91.19 SpeciesContrib%Contrib%SpeciesContrib%Contrib% Pomadasysquadrilineatus7.033.71Acanthurusnigrofuscus103.13 Pseudanthiassquamipinnis9.873.52Chaetodonkleinii8.692.56 Labroidesdimidiatus9.762Dascyllustrimaculatus6.422.27 Heniochusacuminatus6.31.92Mulloidichthysvanicolensis3.952.24 Prionurusscalprum3.091.63Zancluscornutus3.051.49

60

14.߄13ϐѠ᡼ڬൎੇୱѤঁӦ౛ϩ୔ύޑ߄܄ങᅿǴځ܌ឦᕛ୔ᕉნᡂኧ࿶ᆾӦьᛥᡉ๱܄ᔠᡍޑ่݀Ƕ p<0.05ǹ**ǺP<0.01) Variableч೽Ջࠄܿࠄᚆ৞ FSig.levelFSig. levelFSig. levelFSig. level Depth2.97* 4.53* * 1.742.07 ReefHeight1.413.81* 7.69* * 0.58 LTemp.1.772.290.431.57 TotalCov0.740.914.49* * 11.54* * Substratum2.249.07* * 4.69* * 9.2* * Sediment5.53* * 0.330.410.19 Visibility1.2313.8* * 3.54* 106.59* * Latitude49.21* * 10.58* * 11.76* * 14.91* * Longitude14.85* * 20.63* * 13.94* * 7.33* * ReefArea0.210.221.021.63 Algae1.150.390.871.65 Sponge1.710.586.25** 0.58 Hydroid1.10.815.46* * 1.23 Hard coral6.17* * 1.661.617.22* * Soft coral0.143.85* 1.335.94* * Barnacle4.65* * 1.661.210.77 Ascidian0.820.340.312.87*

߄15. Ѡ᡼ڬൎੇୱόӕӦ౛ϩ୔Γπങᕛޑᜪ१܄ಔԋǶ(a, b, c, d, e, f ϩձࣁ१

܄жဦ)

ч೽ Ջࠄ ܿࠄ ᚆ৞

१܄ಔԋኧໆԭϩК

Herbivore (a) 0.18 0.13 1.47 5.09 Planktivore (b) 57.10 31.66 34.38 71.77 Invertivore (c) 39.15 41.57 34.09 7.16 Piscivore (d) 0.10 1.31 0.49 0.41 Corallivore (e) 1.41 3.68 17.46 3.32 Carnivore (cd, bcd) 1.71 20.75 8.72 6.81 Omnivore (ab, ac) 0.25 0.53 2.43 4.97

Cleaner (f) 0.09 0.37 0.96 0.47

१܄ಔԋख़ໆԭϩК

Herbivore (a) 6.02 2.72 20.24 10.81 Planktivore (b) 11.24 7.29 8.75 44.42 Invertivore (c) 69.08 44.23 58.60 39.04 Piscivore (d) 13.15 45.27 11.07 4.32 Corallivore (e) 0.49 0.49 1.29 1.38

Cleaner (f) 0.01 0.01 0.04 0.02

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