Evaluating dependence among mule deer siblings in fetal and neonatal survival analyses

Journal of Wildlife Management

Volumn 72, Issue 5, 2008, Pages 1085-1093

  Bishop, Chad J ^a   White, Gary C ^b   Lukacs, Paul M ^a  

^a Colorado Division of Wildlife ^*  (United States)

^b Department of Environmental and Radiological Health Sciences   (United States)

Author keywords

C hat; Colorado; Dependence; Extra binomial variation; Fetal survival; Mule deer; Neonatal survival; Odocoileus hemionus; Overdispersion; Sibling

Indexed keywords

DEER; DISPERSAL; ESTIMATION METHOD; MODELING; NEONATE; SIBLING; SURVIVAL;

COLORADO; NORTH AMERICA; UNITED STATES;

CERVIDAE; ODOCOILEUS HEMIONUS;

EID: 48249110719     PISSN: 0022541X     EISSN: None     Source Type: Journal    
DOI: 10.2193/2007-423     Document Type: Article

References (41)

1. Anderson, D. R., K. P. Burnham, and G. C. White. 1994. AIC model selection in overdispersed capture-recapture data. Ecology 75:1780-1793.
2. Bishop, C. J. 2007. Effect of enhanced nutrition during winter on the Uncompahgre Plateau mule deer population. Dissertation, Colorado State University, Fort Collins, USA.
3. Bishop, C. J., D. J. Freddy, G. C. White, B. E. Watkins, T. R. Stephenson, and L. L. Wolfe. 2007. Using vaginal implant transmitters to aid in capture of mule deer neonates. Journal of Wildlife Management 71:945-954.
4. Breslow, N. 1990. Tests of hypotheses in overdispersed Poisson regression and other quasi-likelihood models. Journal of the American Statistical Association 85:565-571.
5. Burnham, K. P., and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Second edition. Springer-Verlag, New York, New York, USA.
6. Carpenter, L. H., R. B. Gill, D. L. Baker, and N. T. Hobbs. 1984. Colorado's big game supplemental winter feeding program, 1983-84. Colorado Division of Wildlife, Fort Collins, USA.
7. Carstensen, M., G. D. DelGiudice, and B. A. Sampson. 2003. Using doe behavior and vaginal-implant transmitters to capture neonate white-tailed deer in north-central Minnesota. Wildlife Society Bulletin 31:634-641.
8. Cox, D. R. 1983. Some remarks on overdispersion. Biometrika 70:269-274.
9. Cox, D. R., and E. J. Snell. 1989. Analysis of binary data. Second edition. Monographs on Statistics and Applied Probability 32. Chapman and Hall/CRC, New York, New York, USA.
10. Drummond, H., E. Vazquez, S. Sanchez-Colon, M. Martinez-Gomez, and R. Hudson. 2000. Competition for milk in the domestic rabbit: survivors 11 benefit from littermate deaths. Ethology 106:511-526.
11. Efron, B., and R. J. Tibshirani. 1993. An introduction to the bootstrap. Monographs on Statistics and Applied Probability 57. Chapman and Hall/CRC, New York, New York, USA.
12. Eve, J. H. 1981. Management implications of disease. Pages 413-423 in W. R. Davidson, F. A. Hayes, V. F. Nettles, and F. E. Kellogg, editors. Diseases and parasites of white-tailed deer. Southeastern Cooperative Wildlife Disease Study, University of Georgia, Athens, USA.
13. Firth, D. 1987. On the efficiency of quasi-likelihood estimation. Biometrika 74:233-245.
14. Gaillard, J.-M., R. Andersen, D. Delorme, and J. D. C. Linnell. 1998. Family effects on growth and survival of juvenile roe deer. Ecology 79: 2878-2889.
15. Greenwood, M. 1926. The errors of sampling of the survivorship tables. Appendix I. Reports on Public Health and Medical Subjects 33:23-25.
16. Hamlin, K. L., S. J. Riley, D. Pyrah, A. R. Dood, and R. J. Mackie. 1984. Relationships among mule deer fawn mortality, coyotes, and alternate prey species during summer. Journal of Wildlife Management 48:489-99.
17. Jarnemo, A., and O. Liberg. 2005. Red fox removal and roe deer fawn survival-a 14-year study. Journal of Wildlife Management 69:1090-1098.
18. Kaplan, E. L., and P. Meier. 1958. Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 53:457-481.
19. Lent, P. C. 1974. Mother-infant relationships in ungulates. Pages 14-55 in V. Geist and F. Walther, editors. The behaviour of ungulates and its relation to management. International Union for Conservation of Nature and Natural Resources, Publications New Series Number 24, Morges, Switzerland.
20. Medin, D. E. 1976. Modeling the dynamics of a Colorado mule deer population. Dissertation, Colorado State University, Fort Collins, USA.
21. Ozoga, J. J., L. J. Verme, and C. S. Bienz. 1982. Parturition behavior and territoriality in white-tailed deer: impact on neonatal mortality. Journal of Wildlife Management 46:1-11.
22. Pollock, K. H., S. R. Winterstein, C. M. Bunck, and P. D. Curtis. 1989. Survival analysis in telemetry studies: the staggered-entry design. Journal of Wildlife Management 53:7-15.
23. Robinette, W. L., J. S. Gashwiler, D. A. Jones, and H. S. Crane. 1955. Fertility of mule deer in Utah. Journal of Wildlife Management 19:115-136.
24. Sams, M. G., R. L. Lochmiller, C. W. Quails, Jr., D. M. Leslie, Jr., and M. E. Payton. 1996. Physiological correlates of neonatal mortality in an overpopulated herd of white-tailed deer. Journal of Mammalogy 77:179-190.
25. Schmutz, J. A., D. H. Ward, J. S. Sedinger, and E. A. Rexstad. 1995. Survival estimation and the effects of dependency among animals. Journal of Applied Statistics 22:673-681.
26. Schwartz, C. C., M. A. Haroldson, and G. C. White. 2006. Survival of cub and yearling grizzly bears in the Greater Yellowstone Ecosystem, 1983-2001. Pages 25-31 in C. C. Schwartz, M. A. Haroldson, G. C. White, R. B. Harris, S. Cherry, K. A. Keating, D. Moody, and C. Servheen, 2006. Temporal, spatial, and environmental influences on the demographics of grizzly bears in the Greater Yellowstone Ecosystem. Wildlife Monographs 161.
27. Schwede, G., H. Hendrichs, and C. Wemmer. 1994. Sibling relations in young white-tailed deer fawns Odocoileus virginianus. Mammalia 58:175-181.
28. Seber, G. A. F. 1982. The estimation of animal abundance and related parameters. Macmillan, New York, New York, USA.
29. Sheaffer, S. E., D. H. Rusch, D. D. Humburg, J. S. Lawrence, G. G. Zenner, M. M. Gillespie, F. D. Caswell, S. Wilds, and S. C. Yaich. 2004. Survival, movements, and harvest of eastern prairie population Canada geese. Wildlife Monographs 156.
30. Smale, L., K. E. Holekamp, M. Weldele, L. G. Frank, and S. E. Glickman. 1995. Competition and cooperation between litter-mates in the spotted hyaena, Crocuta crocuta. Animal Behaviour 50:671-682.
31. Stephenson, T. R., J. W. Testa, G. P. Adams, R. G. Sasser, C. C. Schwartz, and K. J. Hundertmark. 1995. Diagnosis of pregnancy and twinning in moose by ultrasonography and serum assay. Alces 31:167-172.
32. Verme, L. J. 1962. Mortality of white-tailed deer fawns in relation to nutrition. Proceedings of the National White-tailed Deer Disease Symposium 1:15-38.
33. Verme, L. J. 1963. Effect of nutrition on growth of white-tailed deer fawns. Transactions of the North American Wildlife and Natural Resources Conference 28:431-443.
34. Verme, L. J. 1977. Assessment of natal mortality in upper Michigan deer. Journal of Wildlife Management 41:700-708.
35. Wedderburn, R. W. M. 1974. Quasi-likelihood functions, generalized linear models, and the Gauss-Newton method. Biometrika 61:439-447.
36. Western Regional Climate Center [WRCC]. 2005. Western Regional Climate Center home page. . Accessed 27 Apr 2005.
37. White, G. C., and K. P. Burnham. 1999. Program MARK: survival estimation from populations of marked animals. Bird Study 46Supplement:120-139.
38. White, M., F. F. Knowlton, and W. C. Glazener. 1972. Effects of dam-newborn fawn behavior on capture and mortality. Journal of Wildlife Management 36:897-906.
39. Whittaker, D. G., and F. G. Lindzey. 1999. Effect of coyote predation on early fawn survival in sympatric deer species. Wildlife Society Bulletin 27: 256-262.
40. Wiens, J. D., B. R. Noon, and R. T. Reynolds. 2006. Post-fledging survival of northern goshawks: the importance of prey abundance, weather, and dispersal. Ecological Applications 16:406-418.
41. Winterstein, S. R. 1992. Chi-square tests for intrabrood independence when using the Mayfield method. Journal of Wildlife Management 56: 398-402.