Growth model of the reared sea urchin Paracentrotus ... - SciViews

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References Muller-Feuga, A., 1990. Modélisation de la croissance des poissons en élevage. Rapp. Sci. Tech. IFREMER, n° 21. Munk, J.E., 1992. Reproduction and growth of green sea urchin Strongylocentrotus droebachiensis (Müller) near Kodiak, Alaska. J. Shellfish Res., 11(2):245-254. Murray, J.D., 1993. Mathematical biology. 2 nd ed. Springer-Verlag, Berlin. Nedelec, H., 1983. Sur un nouvel indice de réplétion pour les oursins réguliers. Rapp. Comm. Int. Mer Médit., 28(3):149-151. Nedelec, H., M. Verlaque & A. Dialopoulis, 1981. Preliminary data on Posidonia consumption by Paracentrotus lividus in Corsica (France). Rap. Comm. Int. Mer Médit., 27(2):203-204. Nelder, J.A., 1961. The fitting of a generalization of the logistic curve. Biometrics, 17:89-110. Nelder, J.A. & R. Mead, 1965. A simplex algorithm for function minimization. Comput. J., 7: 308-313. Nichols, D., A.A.T. Sime & G.M. Bishop, 1985. Growth in populations of the sea urchin Echinus esculentus L. (Echinodermata: Echinoidea) from the English Channel and Firth of Clyde. J. Exp. Mar. Biol. Ecol., 86:219-228. Nocedal, J. & S.J. Wright, 1999. Numerical Optimization. Springer-Verlag, New York. Passino, K.M. & S. Yurkovich, 1988. Fuzzy control. Addison-Wesley, Menlo Park. Pearse, J.S. & V.B Pearse, 1975. Growth zones in the echinoid skeleton. Amer. Nat., 15:731-753. Percy, J.A., 1972. Thermal adaptation in the boreo-arctic echinoid, Strongylocentrotus droebachiensis (O.F. Muller 1776). I. Seasonal acclimatization of respiration. Physiol. Zool., 45(4):277-289. 203
References Pouvreau, S., C. Bacher & M. Héral, 2000. Ecophysiological model of growth and reproduction of the black pearl oyster, Pinctada margaritifera: potential applications for pearl farming in French Polynesia. Aquaculture, 186(1-2):117-144. Preece, M.A. & M.J. Baines, 1978. A new family of mathematical models describing the human growth curve. Ann. Hum. Biol., 5:1-24. Rao, C.R., 1965. The theory of least squares when parameters are stochastic and its application to the analysis of growth curves Biometrika, 52:477-458. Raymond, B.G. & R.E. Scheibling, 1987. Recruitment and growth of the sea urchin Strongylocentrotus droebachiensis (Müller) following mass mortalities off Nova Scotia, Canada. J. Exp. Mar. Biol. Ecol., 108:31-54. Régis, M.-B., 1969. Premières données sur la croissance de Paracentrotus lividus Lmk. Téthys, 1(4):1049-1056. Régis, M.-B., 1979. Croissance négative de l'oursin Paracentrotus lividus (Lamarck) (Echinoidea-Echinidea). C. R. Acad. Sci. Paris D, 188:355- 358. Régis, M.-B. & R. Arfi, 1978. Etude comparée de la croissance de trois populations de Paracentrotus lividus (Lamarck), occupant des biotopes différents, dans le golfe de Marseille. C. R. Acad. Sc. Paris D, 286:1211- 1214. Richards, F.J., 1959. A flexible growth function for empirical use. J. Exp. Bot., 10(29):290-300. Ricker, W.E., 1979. Growth rates and models. In: Fish physiology, vol. 8. Academic Press, New York. Roff, D.A., 1980. A motion for the retirement of the von Bertalanffy function. Can. J. Fish. Aquat. Sci., 37:127-129. Rowley, R.J., 1989. Settlement and recruitment of sea urchins (Strongylocentrotus spp.) in a sea urchin barren ground and a kelp bed: 204
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U L B bio mar UNIVERSITE LIBRE DE B
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Acknowledgements ACKNOWLEDGEMENTS W
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Abstract ABSTRACT A rearing protoco
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Résumé RESUME Un protocole d'éle
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Table of contents TABLE OF CONTENTS
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ANNEXES............................
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List of figures LIST OF FIGURES Fig
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List of figures Figure 28. A. Histo
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List of tables LIST OF TABLES Table
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List of equations LIST OF EQUATIONS
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List of equations Equation 33. Para
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List of symbols LIST OF SYMBOLS Var
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List of symbols IW Immersed weight:
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Introduction 27
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Foreword 30
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General introduction this study. Se
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General introduction intense fishin
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General introduction habitats: inte
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General introduction substrate to s
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General introduction mm (Spirlet et
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Growth models General introduction
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. The logistic function for asympto
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d. The von Bertalanffy curves Gener
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Y Y 1 Y• 0.8 0.6 0.4 0.2 General
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Y 1 Y• 0.8 0.6 Y•êH1+bL 0.4 0.
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YY 3 2.5 2 1.5 1 0.5 General introd
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Table 1. Models used to fit sea urc
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General introduction model 1 for Ec
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General introduction method used. I
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General introduction Experiments in
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Aim of the thesis 62
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PART I: SET UP OF AN EXPERIMENTAL R
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Land-based closed-cycle echinicultu
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Aquaculture of echinoderms, includi
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6b. exploitation KCl water renewal
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earing cycle into seven stages is e
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(Grosjean et al, 1996, see Part III
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output. The quality of gametes is o
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average value of 19.5 days, a minim
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individuals were still alive 3 mont
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e. Discussion show similar GI and M
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The success of the present method l
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Fenaux (1990) for the same species
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encountered with food is its stabil
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to Christine Spirlet (ref. ERB 4001
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PART II Measurement for size in the
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Part II: Measurement for size in th
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Few studies have compared and discu
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d. Results and discussion The ambit
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Reproducibility of measurements The
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e. Conclusions fresh weight! Cautio
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principal axis 3 1 0.8 0.6 0.4 0.2
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a relative homogeneous growth of al
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110
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Part III: Experimental studies of t
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assumption of normality can be test
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occurred. From this moment on, and
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d. Results Size distribution among
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Nber of ind. 120 100 80 60 40 20 0
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Table 9. Statistics on the six batc
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Table 10. Size distribution of Fe e
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purpuratus; Dafni & Tobol, 1987: Tr
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Nbr. of ind. Nbr. of ind. A. Size d
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Nbr. of ind. Nbr. of ind. Nbr. d'in
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Part III: Experimental studies of t
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134
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Part IV: A growth model with intras
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. Introduction fuzzy-remanent funct
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considered factor on the curve's sh
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Diameter D 20 in mm Diameter D in m
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d. Results Theoretical consideratio
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some two-dimensional processes like
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implements this method ('nlrq' pack
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value just after metamorphosis (D0,
Page 153 and 154: quantifies maximum speed growth, k2
Page 155 and 156: Table 12. Results of quantile regre
Page 157 and 158: This way, one obtains a 4-parameter
Page 159 and 160: individuals related to the presence
Page 161 and 162: Finally, ∆D∞ should follow a no
Page 163 and 164: 60 Diameter increase D' in mm 40 20
Page 165 and 166: e. Discussion Fig. 34B shows three
Page 167 and 168: Constraining parameters as we did i
Page 169 and 170: It does not consider respiration as
Page 171 and 172: this species. For other species, wh
Page 173 and 174: ecapture, McDonald & Pitcher, 1979;
Page 175 and 176: ∆D∞ D0 +∆D∞ − D0 +∆D∞
Page 177 and 178: evaluated on basis of biological kn
Page 179 and 180: ain conceptualizes complex objects.
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Page 183 and 184: General conclusions individuals, wh
Page 185 and 186: Root models: y’ = ay m -by n (exp
Page 187 and 188: General conclusions - The diauxic g
Page 189 and 190: General conclusions model not on a
Page 191 and 192: References Baker, T.T., R. Lafferty
Page 193 and 194: References Dafni, J. & R. Tobol, 19
Page 195 and 196: References Ebert, T.A., 1999. Plant
Page 197 and 198: References intermedius on a rocky s
Page 199 and 200: References Guillou, M. & Ch. Michel
Page 201 and 202: References Kobayashi, S. & J. Taki,
Page 203: References McDonald, P.D. & T.J. Pi
Page 207 and 208: References Sellem, F., H. Langar &
Page 209 and 210: References Stumm, W. & J.J. Morgan,
Page 211 and 212: References Webster, S.K. & A.C. Gie
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Page 215 and 216: Annexes 214
Page 217 and 218: # If no graphic device currently op
Page 219 and 220: lines(edatq[, 1], predict(edat.025,
Page 221 and 222: SimRes
Page 223 and 224: Annexes Code of functions required
Page 225 and 226: plot(cumsum(dat[,columns[1]])/sum(d
Page 227 and 228: for the CI!!! Annexes SEMean
Page 229 and 230: } Annexes # - y, a vector of classe
Page 231 and 232: plot(x, y, type="l", col=col, lty=l
Page 233 and 234: } Annexes } results[i, 1:5]
Page 235 and 236: } .value Annexes dimnames(.grad)
Page 237 and 238: #{ # # This is adapted from SSasymp
Page 239 and 240: Exp.ival
Page 241 and 242: SSallo
Page 243 and 244: .expr4
Page 245 and 246: .expr9
Page 247 and 248: . The 'nlrq' package for nonlinear
Page 249 and 250: nlrq.control package:nlrq R Documen
Page 251 and 252: gradSetArgs[[2]]), call("[", gradSe
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Annexes 254
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Annexes 256
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Annexes metamorphosis. Acquisition
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Annexes ABSTRACT: The general allom
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Annexes libitum for 8, 16, 24, 32,
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Annexes EXECUTIVE SUMMARY: The aim
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Annexes KEYWORDS: Somatic growth, d
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Annexes amount of waste produced at
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Annexes ABSTRACT: Multimodal distri
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