Dispersal and individual quality in a long lived species

Oikos

Volumn 106, Issue 2, 2004, Pages 386-398

  Cam, Emmanuelle ^a   Monnat, Jean Yves ^b   Royle, J Andrew ^c  

^a École Nationale de Formation Agronomique   (France)

^b Penn Ar Run Izella ^*  (France)

^c PATUXENT WILDLIFE RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISPERSAL; LIFE HISTORY; POPULATION DYNAMICS; SEABIRD;

AVES;

EID: 4043062955     PISSN: 00301299     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0030-1299.2003.13097.x     Document Type: Article

References (90)

1. Aebischer, N. J., Potts, G. R. and Coulson, J. C. 1995. Site and mate fidelity of shags Phalacrocorax aristotelis at two British colonies. - Ibis 137: 19-28.
2. Agresti, A. 1990. Categorical data analysis. - John Wiley & Sons.
3. Bjornstad, O. N. and Hansen, T. F. 1994. Individual variation and population dynamics. - Oikos 69: 167-171.
4. Bradley, J. S., Wooller, R. D., Skira, I. J. et al. 1990. The influence of mate retention and divorce upon reproductive success in short-tailed shearwaters Puffinus tenuirostris. - J. Anim. Ecol. 59: 487-496.
5. Brooke, M. and de, L. 1978. Some factors affecting the laying date, incubation and breeding success of the Manx shear-water, Puffinus puffinus. - J. Anim. Ecol. 47: 477-495.
6. Brooks, S. P. and Gelman, A. 1998. General methods for monitoring convergence of iterative simulations. - J. Computational Graphical Stat. 7: 434-455.
7. Brownie, C., Hines, J. E., Nichols, J. D. et al. 1993. Capture-recapture studies for multiple strata including non-Markovian transitions. - Biometrics 49: 1173-1187.
8. Bryk, A. S. and Raudenbush, S. W. 1992. Hierarchical linear models: applications and data analysis methods. - Sage publications, Newbury Oark.
9. Burnham, K. P. and Rexstad, E. A. 1993. Modeling heterogeneity in survival rates of banded waterfowl. - Biometrics 49: 1194-1208.
10. Burnham, K. P. and Anderson, D. R. 1998. Model selection and inference, a practical information-theoretic approach. - Springer-Verlag.
11. Cadiou, B. and Monnat, J. Y. 1996. Parental attendance and squatting in the kittiwake Rissa tridactyla during the rearing period. - Bird Study 43: 157-163.
12. Cam, E. 1997. Reproduction intermittente et corrélations phénotypiques entre composantes de la fitness. Cas de la mouette tridactyle (Rissa tridactyla). - PhD thesis, l'Université Pierre et Marie Curie, Paris, France.
13. Cam, E. and Monnat, J.-Y. 2000a. Apparent inferiority in first-time breeders in the kittiwake: the role of heterogeneity among age-classes. - J. Anim. Ecol. 69: 380-394.
14. Cam, E. and Monnat, J.-Y. 2000b. Stratification based on reproductive success reveals contrasting patterns of age-related variation in demographic parameters in the kittiwake. - Oikos 90: 560-574.
15. Cam, E., Hines, J. E., Monnat, J.-Y. et al. 1998. Are non-breeders prudent parents? The kittiwake model. - Ecology 79: 2917-2930.
16. Cam, E., Link, W. A., Cooch, E. G. et al. 2002a. Individual covariation in life history traits: seeing the trees despite the forest. - Am. Nat. 159: 96-105.
17. Cam, E., Cadiou, B., Hines, J. E. et al. 2002b. Influence of behavioural tactics on recruitment and reproductive trajectory in the kittiwake. - J. Appl. Stat. 29: 163-185.
18. Catry, P., Ruxton, G. D., Ratcliffe, N. et al. 1999. Short-lived repeatability in long-lived great skuas: implications for the study of individual quality. - Oikos 84: 473-479.
19. Charlesworth, B. 1994. Evolution in age-structured populations. - Cambridge Univ. Press.
20. Chan, J. S. K. and Kuk, A. Y. C. 1997. Maximum likelihood estimation for probit-linear mixed models with correlated random effects. - Biometrics 53: 86-97.
21. Choudhur, S. 1995. Divorce in birds: a review of the hypotheses. - Anim. Behav. 50: 413-429.
22. Clark, C. W. 1993. Dynamic models of behavior: an extension of life history theory. - Trends Ecol. Evol. 8: 205-209.
23. Clark, C. W. and Mangel, M. 2000. Dynamic state variable models in ecology. - Oxford Univ. Press.
24. Clobert, J., Wolf, J. O. and Nichols, J. D. 2000. - In: Clobert, J., Danchin, E., Dhont, A. et al. (eds), Dispersal. Oxford Univ. Press.
25. Clutton-Brock, T. H. 1988. Reproductive success. - In: Clutton-Brock, T. H. (ed.), Reproductive success. Studies of individual variation in contrasting breeding systems. Univ. of Chicago Press, pp. 472-485.
26. Cohen, J. E. 1986. An uncertainty principle in demography and the unisex issue. - Am. Stat. 40: 32-39.
27. Conner, M. M. and White, G. C. 1999. Effects of individual heterogeneity in estimating the persistence of small populations. - Nat. Resour. Model. 12: 109-127.
28. Cooch, E. G., Cam, E. and Link, W. A. 2002. Occam's shadow: levels of analysis in evolutionary ecology - where to next? - J. Appl. Stat. 29: 19-48.
29. Cowles, M. K. and Carlin, B. P. 1996. Markov chain Monte Carlo convergence diagnostics: a comparative review. - J. Am. Stat. Soc. 91: 883-904.
30. Coulson, J. C. 1966. The influence of the pair-bond and age on the breeding biology of the kittiwake gull Rissa tridactyla. - J. Anim. Ecol. 35: 269-279.
31. Coulson, J. C. 1968. Differences in the quality of birds nesting in the centre and on the edges of a colony. - Nature 217: 478-479.
32. Coulson, J. C. and Thomas, C. 1980. A study of the factors influencing the duration of the pair-bond in the kittiwake gull Rissa tridactyla. - Proc. Int. Ornithol. Congr. Berlin 17: 822-833.
33. Curio, E. 1983. Why do young birds reproduce less well? - Ibis 125: 400-404.
34. Danchin, E. and Monnat, J.-Y. 1992. Population dynamics modelling of two neighbouring kittiwake Rissa tridactyla colonies. - Ardea 80: 171-180.
35. Danchin, E. and Cam, E. 2002. Can non-breeding be a cost of breeding dispersal? - Behav. Ecol. Sociobiol. 51: 153-163.
36. Danchin, E., Boulinier, T. and Massot, M. 1998. Conspecific reproductive success and breeding habitat selection: implications for the evolution of coloniality. - Ecology 79: 2415-2428.
37. Dhondt, A. A. and Adriaensen, F. 1994. Causes and effects of divorce in the blue tit Parus caeruleus. - J. Anim. Ecol. 63: 979-987.
38. Endler, J. A. 1986. Natural selection in the wild. - Princeton Univ. Press.
39. Ens, B. J., Safriel, U. N. and Harris, M. P. 1993. Divorce in the long-lived and monogamous oystercatcher, Haematopus ostralegus: incompatibility or choosing the better option? - Anim. Behav. 45: 1199-1217.
40. Ens, B. J., Weissing, F. J. and Drent, R. H. 1995. The despotic distribution and deferred maturity: two sides of the same coin. - Am. Nat. 146: 625-650.
41. Erkanli, A., Soyer, R. and Costello, E. J. 1999. Bayesian inference for prevalence in longitudinal two-phase studies. - Biometrics 55: 1145-1150.
42. Fairweather, J. A. and Coulson, J. C. 1995. The influence of forced site change on the dispersal and breeding of the black-legged kittiwake Rissa tridactyla. - Colonial Waterbirds 18: 30-40.
43. Forslund, P. and Larsson, K. 1991. The effect of mate change and new partner's age on reproductive success in the barnacle goose, Branta leucopsis. - Behav. Ecol. 2: 116-122.
44. Forstmeier, W. 2002. Benefits of early arrival at breeding grounds vary between males. - J. Anim. Ecol. 71: 1-9.
45. Freed, L. A. 1987. The long-term pair bond of tropical house wrens: advantage or constraint? - Am. Nat. 130: 507-525.
46. Gelman, A., Carlin, J. B., Stern, H. S. et al. 1997. Bayesian data analysis. - Chapman and Hall.
47. Gilks, W. R., Rochardson, S. and Spiegelhalter, D. J. 1996. Introducing Markov chain Monte Carlo. - In: Gilks, W. R., Rochardson, S. and Spiegelhalter, D. J. (eds), Markov chain Monte Carlo methods in practice. Chapman & Hall, pp. 1-20.
48. Hastie, T. J. and Tibshirani, R. J. 1990. Generalized additive models. - Chapman & Hall.
49. Hedeker, D. 1999. MIXNO: a computer program for mixed-effects nominal logistic regression. - J. Stat. Software 4: 1-92.
50. Hedeker, D. and Gibbons, R. D. 1994. A random-effects ordinal regression model for multilevel analysis. - Biometrics 50: 933-944.
51. Hedeker, D. and Gibbons, R. D. 1996. MIXOR: a computer program for mixed-effects ordinal regression analysis. - Computer Methods and Programs in Biomedicine 49: 157-176.
52. Hedeker, D, Siddiqui, O. and Hu, F. B. 2000. Random-effects regression analysis of correlated grouped-timed survival data. - Stat. Meth. Med. Res. 9: 161-179.
53. Hougaard, P. 1991. Modelling heterogeneity in survival data. - J. Appl. Probabil. 28: 695-701.
54. Houston, A. and McNamara, J. M. 1992. Phenotypic plasticity as a state-dependant life-history decision. - Evol. Ecol. 6: 243-253.
55. Johnston, V. H. and Ryder, J. P. 1986. Divorce in larids: a review. - Colonial Waterbirds 10: 16-26.
56. Johnson, D. H., Burnham, K. P. and Nichols, J. D. 1986. The role of heterogeneity in animal population dynamics, Proc. Int. Biometrics Conf. 13.
57. Lebreton, J.-D. 1995. The future of population dynamics studies using marked individuals: a statistician's perspective. - Bird Study 46: 1009-1030.
58. Link, W. A., Cooch, E. G. and Cam, E. 2002a. Model-based estimation of individual fitness. - J. Appl. Stat. 29: 207-224.
59. Link, W. A., Cam, E., Nichols, J. D. et al. 2002b. Of BUGS and birds: Markov chain Monte Carlo for hierarchichal modeling in wildlife research. - J. Wild. Manage. 66: 277-291.
60. Littell, R. C., Milliken, G. A., Stroup, W. W. et al. 1996. SAS system for mixed models. Cary, N.C. - SAS Institute Inc.
61. Mau, B., Newton, M. A. and Larget, B. 1999. Bayesian phylogenetic inference via Markov chain Monte Carlo methods. - Biometrics 55: 1-12.
62. Maunder, J. E. and Threlfall, W. 1972. The breeding biology of the black-legged kittiwake in Newfoundland. - Auk 89: 789-816.
63. Marrow, P., McNamara, J. M., Houston, A. et al. 1996. State-dependant life history evolution in soay sheep: dynamic modelling of reproductive scheduling. - Philos. Trans. R. Soc. Lond. B 351: 17-32.
64. McDonald, D. B., Fitzpatrick, J. W. and Woolfenden, G. E. 1996. Actuarial senescence and demographic heterogeneity in the Florida scrub jay. - Ecology 77: 2373-2381.
65. McNamara, J. M. and Houston, A. I. 1992. State-dependant life-history theory and its implications for optimal clutch size. - Evol. Ecol. 6: 170-185.
66. McNamara, J. M. and Houston, A. I. 1996. State-dependant life histories. - Nature 380: 215-221.
67. Mills, J. A. 1973. The influence of age and pair-bond on the breeding biology of the red-billed gull Larus novaehollandiae scopulinus. - J. Anim. Ecol. 42: 147-162.
68. Morrel, C. H. 1998. Likelihood ratio testing of variance components in the linear mixed-effects model using restricted maximum likelihood. - Biometrics 54: 1560-1568.
69. Morris, D. W. 1998. State-dependent optimization of litter size. - Oikos 83: 518-528.
70. Newton, I. 1989. Synthesis. - In: Newton, I. (ed.), Lifetime reproduction in birds. Academic Press, pp. 441-469.
71. Nichols, J. D., Mines, J. E., Pollock, K. H. et al. 1994. Estimating breeding proportions and testing hypotheses about costs of reproduction with capture-recapture data. - Ecology 75: 2052-2065.
72. Ollason, J. C. and Dunnet, G. M. 1988. Variation in breeding success in fulmars. - In: Clutton-Brock, T H. (ed.), Reproductive success. Univ. of Chicago Press, pp. 263-278.
73. Pärt, T. and Gustafsson, L. 1989. Breeding dispersal in the collared flycatcher (Ficedula albicollis): possible causes and reproductive consequences. - J. Anim. Ecol. 58: 305-320.
74. Pärt, T. and Forslund, R. 1995. Age and reproduction in birds-hypotheses and tests. - Trends Ecol. Evol. 10: 374-378.
75. Pen, I. and Weissing, F. J. 2000. Optimal floating and queuing strategies: the logic of territory choice. - Am. Nat. 155: 512-526.
76. Pledger, S. and Schwarz, C. J. 2002. Modelling heterogeneity of survival as a random effects using finite mixtures. - J. Appl. Stat. 29: 315-327.
77. Schoenberg, R. 1985. Latent variables in the analysis of limited dependent variables. - In: Brandon Tuma, N. (ed.), Sociological methodology. Jossey-Bass, Inc., Publishers, San-Fransisco, pp. 213-242.
78. Scott, D. K. 1988. Breeding success in Bewick's swans. - In: Clutton-Brock, T. H. (ed.), Reproductive success. Univ. of Chicago Press, pp. 220-236.
79. Service, P. M. 2000. Heterogeneity in individual mortality risk and its importance for evolutionary studies of senescence. - Am. Nat. 156: 1-13.
80. Spiegelhalter, D., Thomas, A., Best, N. et al. 1996. BUGS 0.5. Bayesian inference using Gibbs sampling Manual (version 0.5) http://www.mrc-bsu.cam.ac. uk/bugs/.
81. Spiegelhalter, D. J., Best, N. G., Carlin, B. P. et al. 2002. Bayesian measures of model complexity and fit. - J. Roy. Statist. Soc., Ser. B. 64: 583-640.
82. Stearns, S. C. 1992. The evolution of life histories. - Oxford Univ. Press.
83. Steele, B. M. 1996. A modified EM algorithm for estimation in generalized mixed models. - Biometrics 52: 1295-1310.
84. Van-Noordwijk, A. J. and de Jong, G. 1986. Acquisition and allocation of resources: their influence on variation in life-history tactics. - Am. Nat. 128: 137-142.
85. Vaupel, J. W. and Yashin, A. I. 1985a. Heterogeneity's ruses: some surprising effects of selection on population dynamics. - Am. Stat. 39: 176-185.
86. Vaupel, J. W. and Yashin, A. I. 1985b. The deviant dynamics of death in heterogeneous populations. - In: Brandon Tuma, N. (ed.), Sociological methodology. Jossey-Bass, Inc., Publishers, pp. 180-211.
87. Verbeke, G. and Molenberghs, G. 2000. Linear mixed models for longitudinal data. - Springer-Verlag Inc.
88. White, G. C. 2000. Population viability analysis: data requirements and essential analyses. - In: Boitani, L. and Fuller, T. K. (eds), Research techniques in animal ecology. Columbia Univ. Press, pp. 288-331.
89. Wooller, R. D., Bradley, J. S. and Croxall, J. P. 1992. Long-term population studies of seabirds. - Trends Ecol. Evol. 7: 111-114.
90. Zack, S. and Stutchbury, B. J. 1992. Delayed breeding in avian social systems: the role of territory quality and "floater" tactics. - Behaviour 123: 194-219.