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108 Vertical distribution during ontogeny Figure 5.4 “Violin” plot of the distribution of z cm by family and ontogenetic stage. Each shape represents the probability density function of z cms, estimated via kernel density at 512 points in the domain 0-100 m. Basically, z cms were more likely to be where the shapes are wide. The probability density was not estimated for post-flexion larvae in Lethrinidae and Holocentridae because catches were too low. Table 5.1 Tests for differences in variances (Fligner-Killeen) and medians (Kruskal-Wallis) for the z cms of different ontogenetic stages of eight abundant families of coral reef fishes. For Lethrinidae and Holocentridae, only pre-flexion and flexion stages are used. For each test, both the test statistic and the p-value are reported (values are bolded in significant tests, and italicised for close to significant ones). In the last three columns are the z cm medians (in m) for each family and stage. Family Fligner Kruskal z cm χ 2 – p χ 2 – p pre flex post Serranidae 5.07 – 0.08 7.86 – 0.02 29 < 36 < 45 Pomacentridae 4.02 – 0.13 2.63 – 0.27 58 46 41 Lutjanidae 1.16 – 0.56 2.16 – 0.34 27 22 31 Lethrinidae 2.66 – 0.26 3.12 – 0.21 17 14 Labridae 0.63 – 0.73 7.91 – 0.019 26 < 38 < 47 Holocentridae 3.12 – 0.21 6.10 – 0.047 17 < 40 Apogonidae 6.07 – 0.05 5.88 – 0.053 15 20 24 Acanthuridae 1.38 – 0.5 6.44 – 0.04 35 < 41 < 43
Results 109 Figure 5.5 Violin plot of the vertical distribution of z cm computed for the global community (all families) at three ontogenetic stages. Figure 5.6 Z cm per station for the global coral reef fish community in function of mean relative size of larvae at the corresponding station. Dots are data points (i.e. stations), the solid line is the fit from a GLM model with a gamma error distribution and the shaded area is the 95% confidence interval around the fit.
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À mon étoile.
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vi Résumé La plupart des organism
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viii Abstract Most demersal marine
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x Table des matières 1.3.3 Simple
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xii Table des matières 6.2.3 Examp
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xiv Liste des figures 4.6 Distribut
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Liste des tableaux 1.1 Potential or
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2 Introduction La survie des larves
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4 Introduction Limitation par le re
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6 Introduction Les courants déterm
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8 Introduction où m est le taux de
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10 Introduction biologique simple.
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12 Introduction Le milieu lui-même
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14 Introduction Figure I.6 Schémat
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16 Introduction obstacles technique
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18 Introduction Figure I.8 Prédict
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20 Introduction I.5 La biologie des
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22 Introduction du fonctionnement d
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24 Introduction L’objectif de cet
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26 Behaviour in models 1.1 Introduc
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28 Behaviour in models Using mean p
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30 Behaviour in models 1.3 Vertical
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32 Behaviour in models . . . bring
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34 Behaviour in models of measured
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36 Behaviour in models Additive dis
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38 Behaviour in models In situ stud
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40 Behaviour in models Operational
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42 Behaviour in models Effects on p
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44 Behaviour in models begins is no
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46 Behaviour in models 1.10 Conclus
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48 Larvae orientation in situ Diver
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50 Larvae orientation in situ . . .
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52 Larvae orientation in situ optio
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54 Larvae orientation in situ if >
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56 Larvae orientation in situ Table
Page 76 and 77: 58 Larvae orientation in situ that
Page 78 and 79: 60 Larvae orientation in situ 2.A A
Page 80 and 81: 62 Behaviour of settling fishes at
Page 87 and 88: Chapter 4 Biophysical correlates in
Page 89 and 90: Methods 71 4.2 Methods 4.2.1 Sampli
Page 91 and 92: Methods 73 Three rotations were com
Page 93 and 94: Methods 75 test really focuses on w
Page 95 and 96: Results 77 Figure 4.3 Mean of insta
Page 97 and 98: Results 79 Figure 4.5 Perspective v
Page 99 and 100: Results 81 Table 4.1 Abundances of
Page 101 and 102: Results 83 Figure 4.8 Distribution
Page 103 and 104: Results 85 Figure 4.10 Concentratio
Page 105 and 106: Discussion 87 Figure 4.11 Compariso
Page 107 and 108: Discussion 89 But the most likely e
Page 109 and 110: Acknowledgements 91 This evidence a
Page 111 and 112: Chapter 5 Ontogenetic vertical “m
Page 113 and 114: The statistical analysis of vertica
Page 119 and 120: Methods 101 80, 55, 30 m (Figure 4.
Page 121 and 122: Methods 103 same station were likel
Page 123 and 124: Results 105 Figure 5.2 Univariate r
Page 125: Results 107 5.4.3 Ontogenetic shift
Page 129 and 130: Discussion 111 5.5 Discussion 5.5.1
Page 131 and 132: Discussion 113 expression of differ
Page 133 and 134: Chapter 6 Oceanography vs. behaviou
Page 135 and 136: Introduction 117 a good description
Page 137 and 138: A general modelling framework for l
Page 145 and 146: The balance between feeding and pre
Page 155 and 156: Oriented swimming and passive advec
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Oriented swimming and passive advec
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General discussion 161 such integra
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General discussion 163 6.5.2 Why se
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General discussion 165 such as the
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General discussion 167 energeticall
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Acknowledgements 169 Therefore: •
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172 Conclusion Un environnement pé
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174 Conclusion global sur la connec
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176 Conclusion l’intérêt est po
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178 Conclusion La différence entre
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180 Conclusion Mieux décrire la di
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182 Conclusion Comme tout comportem
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184 Undescribed Chaetodonthidae Fig
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186 Undescribed Chaetodonthidae Fig
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188 Bibliographie [12] Cushing DH.
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190 Bibliographie [39] Johnson MW.
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192 Bibliographie [71] Paris CB, Co
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194 Bibliographie [99] Lara MR. Mor
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196 Bibliographie [127] Masuda R, S
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198 Bibliographie [157] Holbrook SJ
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200 Bibliographie [187] Bowen B, Ba
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202 Bibliographie [218] Oxenford HA
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204 Bibliographie [246] Wellington
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206 Bibliographie [276] Sargent RC,
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208 Bibliographie [308] Greenberg D
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210 Remerciements solides pour ces
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212 Remerciements tri des larves de
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214 Remerciements Évidemment, tout
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