Demography of a reintroduced population: Moving toward management models for an endangered species, the Whooping Crane

Ecological Applications

Volumn 24, Issue 5, 2014, Pages 927-937

  Servanty, Sabrina ^a,b   Converse, Sarah J ^b   Bailey, Larissa L ^c  

^a Colorado State University Colorado Cooperative Fish and Wildlife Research Unit ^*  (United States)

^b PATUXENT WILDLIFE RESEARCH CENTER   (United States)

^c Veterinary Dentistry and Oral Surgery   (United States)

Author keywords

Conservation; Demographic estimates; Grus americana; Management modeling; MCMC; Multi state models; Population viability analysis; Reintroduction; State space models

Indexed keywords

BIRD; BREEDING SEASON; DEMOGRAPHY; ECOLOGICAL MODELING; ENDANGERED SPECIES; MANAGEMENT PRACTICE; MARK-RECAPTURE METHOD; POPULATION STRUCTURE; REPRODUCTION; SURVIVAL; WILD POPULATION;

ANIMAL; BAYES THEOREM; BIRD; DEMOGRAPHY; ENDANGERED SPECIES; ENVIRONMENTAL PROTECTION; FEMALE; MALE; POPULATION DYNAMICS;

ANIMALS; BAYES THEOREM; BIRDS; CONSERVATION OF NATURAL RESOURCES; DEMOGRAPHY; ENDANGERED SPECIES; FEMALE; MALE; POPULATION DYNAMICS;

EID: 84903822579     PISSN: 10510761     EISSN: None     Source Type: Journal    
DOI: 10.1890/13-0559.1     Document Type: Article

References (66)

1. Armstrong, D. P., and M. H. Reynolds (2012) Modelling reintroduced populations: the state of the art and future directions. Pages 165-222 in J. G. Ewen, D. P. Armstrong, K. A. Parker, and P. J. Seddon, editors. Reintroduction biology: integrating science and management. Wiley-Blackwell, Oxford, UK.
2. Armstrong, D. P., and P. J. Seddon (2008) Directions in reintroduction biology. Trends in Ecology and Evolution 23: 20-25.
3. Arnason, A. N (1972) Parameter estimation for mark-recapture experiments on two populations subject to migration and death. Researches in Population Ecology 13: 97-113.
4. Beissinger, S. R., and M. I. Westphal (1998) On the use of demographic models of population viability analysis in endangered species management. Journal of Wildlife Management 62: 821-841.
5. Bolker, B (2009) Learning hierarchical models: advice for the rest of us. Ecological Applications 19: 588-592.
6. Boyce, M. S (1992) Population viability analysis. Annual Review of Ecology and Systematics 23: 481-506.
7. Buckland, S. T., K. B. Newman, L. Thomas, and N. B. Koesters (2004) State-space models for the dynamics of wild animal populations. Ecological Modelling 171: 157-175.
8. Canadian Wildlife Service and U.S. Fish and Wildlife Service (2005) International recovery plan for the whooping crane. Recovery of Nationally Endangered Wildlife (RENEW), Ottawa, Ontario, Canada and U.S. Fish and Wildlife Service, Albuquerque, New Mexico, USA.
9. Converse, S. J., C. T. Moore, and D. P. Armstrong (2013a. Demographics of reintroduced populations: estimation, modeling, and decision analysis. Journal of Wildlife Management 77: 1081-1093.
10. Converse, S. J., C. T. Moore, M. J. Folk, and M. C. Runge (2013b. A matter of tradeoffs: reintroduction as a multiple objective decision. Journal of Wildlife Management 77: 1145-1156.
11. Converse, S. J., J. A. Royle, P. H. Adler, R. P. Urbanek, and J. A. Barzen (2013c. A hierarchical nest survival model integrating incomplete temporally-varying covariates. Ecology and Evolution, 3: 4439-4447.
12. Converse, S. J., J. A. Royle, and R. P. Urbanek (2012) Bayesian analysis of multi-state data with individual covariates for estimating genetic effects on demography. Journal of Ornithology 152: S561-S572.
13. Ellis, D. H., J. C. Lewis, G. F. Gee, and D. G. Smith (1992) Population recovery of the whooping crane with emphasis on reintroduction efforts: past and future. Proceedings of the North American Crane Workshop 6: 142-150.
14. Ellner, S. P., J. Fieberg, D. Ludwig, and C. Wilcox (2002) Precision of population viability analysis. Conservation Biology 16: 258-261.
15. Folk, M. J., S. A. Nesbitt, J. M. Parker, M. G. Spalding, S. B. Baynes, and K. L. Candelora (2008) Current status of nonmigratory whooping cranes in Florida. Proceedings of the North American Crane Workshop 10: 7-12.
16. Folk, M. J., S. A. Nesbitt, S. T. Schwikert, J. A. Schmidt, K. A. Sullivan, T. J. Miller, S. B. Baynes, and J. M. Parker (2005) Breeding biology of re-introduced non-migratory whooping cranes in Florida. Proceedings of the North American Crane Workshop 9: 105-109.
17. Gelman, A (1996) Inference and monitoring converge. Pages 131-144 in W. R. Gilks, S. Richardson, and D. J. Spiegelhalter, editors. Markov chain Monte Carlo in practice. Chapman and Hall, London, UK.
18. Gelman, A., and J. Hill (2007) Data analysis using regression and multilevel/hierarchical models. Cambridge University Press, Cambridge, UK.
19. Gimenez, O., S. J. Bonner, R. King, R. A. Parker, S. P. Brooks, L. E. Jamieson, V. Grosbois, B. J. T. Morgan, and L. Thomas (2009) WinBUGS for population ecologists: Bayesian modeling using Markov chain Monte Carlo methods. Pages 883-915 in D. L. Thomson, E. G. Cooch, and M. J. Conroy, editors. Modeling demographic processes in marked populations. Springer, Boston, Massachusetts, USA.
20. Gimenez, O., V. Rossi, R. Choquet, C. Dehais, B. Doris, H. Varella, J.-P. Vila, and R. Pradel (2007) State-space modelling of data on marked individuals. Ecological Modelling 206: 431-438.
21. Gregory, R., L. Failing, M. Harstone, G. Long, T. McDaniels, and D. Ohlson (2012) Structured decision making: a practical guide to environmental management choices. Wiley-Blackwell, Oxford, UK.
22. Griffith, B., J. M. Scott, J. W. Carpenter, and C. Reed (1989) Translocation as a species conservation tool: status and strategy. Science 245: 477-480.
23. Hestbeck, J. B., J. D. Nichols, and R. A. Malecki (1991) Estimates of movement and site fidelity using mark-resight data of wintering Canada Geese. Ecology 72: 523-533.
24. IUCN/SSC (2012) Guidelines for reintroductions and other conservation translocations. Version 1) International Union for Conservation of Nature Species Survival Commission, Gland, Switzerland.
25. Johnson, F. A., B. K. Williams, and J. D. Nichols (2013) Resilience thinking and a decision-analytic approach to conservation: strange bedfellows or essential partners Ecology and Society 18: 27.
26. Ke'ry, M., and M. Schaub (2012) Bayesian population analysis using WinBUGS: a hierarchical perspective. Academic Press, Waltham, Massachusetts, USA.
27. King, R. S., and P. H. Adler (2012) Development and evaluation of methods to assess populations of black flies (Diptera: Simuliidae) at nests of the endangered whooping crane (Grus americana). Journal of Vector Ecology 37: 298-306.
28. King, R. S., J. J. Trutwin, T. S. Hunter, and D. M. Varner (2013) Effects of environmental stressors on nest success of introduced birds. Journal of Wildlife Management 77: 842-854.
29. Lebreton, J.-D., T. Almeras, and R. Pradel (1999) Competing events, mixtures of information and multistratum recapture models. Bird Study Supplement 46: S39-46.
30. Lebreton, J.-D., J. D. Nichols, R. J. Barker, R. Pradel, and J. A. Spendelow (2009) Modeling individual animal histories with multistate capture-recapture models. Pages 87-173 in H. Caswell, editor. Advances in ecological research, 41) Academic Press, Burlington, Massachusetts, USA.
31. Lindenmayer, D. B., T. W. Clark, R. C. Lacy, and V. C. Thomas (1993) Population viability analysis as a tool in wildlife conservation policy: with reference to Australia. Environmental Management 17: 745-758.
32. Link, W. A., and M. J. Eaton (2011) On thinning of chains in MCMC. Methods in Ecology and Evolution 3: 112-115.
33. Link, W. A., J. A. Royle, and J. S. Hatfield (2003) Demographic analysis from summaries of an age-structured population. Biometrics 59: 778-785.
34. Lyles, A. M., and R. M. May (1987) Problems in leaving the ark. Nature 326: 245-246.
35. Lyons, J. E., M. C. Runge, H. P. Laskowski, and W. L. Kendall (2008) Monitoring in the context of structured decision-making and adaptive management. Journal of Wildlife Management 72: 1683-1692.
36. Maunder, M. N (2004) Population viability analysis based on combining Bayesian, integrated, and hierarchical analyses. Acta Oecologica 26: 85-94.
37. McCarthy, M. A (2007) Bayesian methods for ecology. Cambridge University Press, Cambridge, UK.
38. McCarthy, M. A., D. P. Armstrong, and M. C. Runge (2012) Adaptive management of reintroduction. Pages 256-289 in J. G. Ewen, D. P. Armstrong, K. A. Parker, and P. J. Seddon, editors. Reintroduction biology: integrating science and management. Wiley-Blackwell, Oxford, UK.
39. McGowan, C. P., M. C. Runge, and M. A. Larson (2011) Incorporating parametric uncertainty into population viability analysis models. Biological Conservation 144: 1400-1408.
40. Melbourne, B. A., and A. Hastings (2008) Extinction risk depends strongly on factors contributing to stochasticity. Nature 454: 100-103.
41. Moore, C. T., S. J. Converse, M. Folk, R. Boughton, B. Brooks, J. B. French, T. E. O'Meara, M. Putnam, J. Rodgers, and M. Spalding (2008) Releases ofwhooping cranes to theFlorida nonmigratoryflock: a structured decision-making approach. Report to the International Whooping Crane Recovery Team. Florida Fish and Wildlife Research Institute In-House Report IHR2008-009) http://research.myfwc.com/publications/publication-info.asp?id58528
42. Moore, C. T., S. J. Converse, M. J. Folk, M. C. Runge, and S. A. Nesbitt (2012) Evaluating release alternatives for a longlived bird species under uncertainty about long-term demographic rates. Journal of Ornithology 152: S339-S353.
43. Newman, K. B., C. Fernández, L. Thomas, and S. T. Buckland (2009) Monte Carlo inference for state-space models of wild animal populations. Biometrics 65: 572-583.
44. Nichols, J. D., and D. P. Armstrong (2012) Monitoring for reintroductions. Pages 223-255 in J. G. Ewen, D. P. Armstrong, K. A. Parker, and P. J. Seddon, editors. Reintroduction biology: integrating science and management. Wiley-Blackwell, Oxford, UK.
45. Nichols, J. D., and B. K. Williams (2006) Monitoring for conservation. Trends in Ecology and Evolution 21: 668-673.
46. Parker, K. A (2008) Translocations: providing outcomes for wildlife, resource managers, scientists, and the human community. Restoration Ecology 16: 204-209.
47. Plummer, M (2003) JAGS: a program for analysis of Bayesian graphical models using Gibbs sampling. Proceedings of the 3rd International Workshop on Distributed Statistical Computing (DSC 2003), March 20-22, Vienna, Austria. http://www.ci.tuwien.ac.at/Conferences/DSC-2003/
48. Plummer, M (2013) Package rjags: Bayesian graphical models using MCMC. Version 3.10) http://sourceforge.net/projects/mcmc-jags/files/
49. Possingham, H. P., S. J. Andelman, B. R. Noon, S. Trombulak, and H. R. Pulliam (2001) Making smart conservation decisions. Pages 225-244 in M. Souléand G. Orians, editors. Conservation biology: research priorities for the next decade. Island Press, Washington, D.C., USA.
50. R Development Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.R-project.org
51. Runge, M. C (2011) An introduction to adaptive management for threatened and endangered species. Journal of Fish and Wildlife Management 2: 220-233.
52. Runge, M. C., S. J. Converse, and J. E. Lyons (2011) Which uncertainty? Using expert elicitation and expected value of information to design an adaptive program. Biological Conservation 144: 1214-1223.
53. Schaub, M., R. Zink, H. Beissmann, F. Sarrazin, and R. Arlettaz (2009) When to end releases in reintroduction programmes: demographic rates and population viability analysis of bearded vultures in the Alps. Journal of Applied Ecology 46: 92-100.
54. Schwarz, C. J., J. F. Schweigert, and A. N. Arnason (1993) Estimating migration rates using tag-recovery data. Biometrics 49: 177-193.
55. Seddon, P. J., D. P. Armstrong, and R. F. Maloney (2007) Developing the science of reintroduction biology. Conservation Biology 21: 303-312.
56. Seddon, P. J., P. S. Soorae, and F. Launay (2005) Taxonomic bias in reintroduction projects. Animal Conservation 8: 51-58.
57. Shaffer, M. L (1981) Minimum population sizes for species conservation. BioScience 31: 131-134.
58. Spalding, M. G., M. J. Folk, S. A. Nesbitt, M. L. Folk, and R. Kiltie (2009) Environmental correlates of reproductive success for introduced resident whooping cranes in Florida. Waterbirds 32: 538-547.
59. Stehn, T. V., and E. F. Johnson (1987) The distribution of winter territories of the whooping crane on the Texas coast. Pages 180-195 in J. C. Lewis and J. W. Ziewitz, editors. Proceedings of the 1985 Crane Workshop. Platte River Whooping Crane Habitat Maintenance Trust and U.S. Fish and Wildlife Service, Grand Island, Nebraska, USA.
60. Stehn, T. V., and F. Prieto (2010) Changes in winter whooping crane territories and range, 1950-2006) Proceedings of the North American Crane Workshop 11: 40-56.
61. Urbanek, R. P., L. E. A. Fondow, C. D. Satyshur, A. E. Lacy, S. E. Zimorski, and M. Wellington (2005) First cohort of migratory whooping cranes reintroduced to eastern North America: the first year after release. Proceedings of the North American Crane Workshop 9: 213-223.
62. Urbanek, R. P., L. E. A. Fondow, S. E. Zimorski, M. A. Wellington, and M. A. Nipper (2010) Winter release and management of reintroduced migratory Whooping Cranes Grus americana. Bird Conservation International 19: 1-12.
63. Wade, P. R (2002) Bayesian population viability analysis. Pages 213-238 in S. R. Beissinger and D. R. McCullough, editors. Population viability analysis. University of Chicago Press, Chicago, Illinois, USA.
64. White, G. C (2000) Population viability analysis: data requirements and essential analyses. Pages 288-331 in L. Boitani and T. K. Fuller, editors. Research techniques in animal ecology: controversies and consequences. Columbia University Press, New York, New York, USA.
65. Williams, B. K., J. D. Nichols, and M. J. Conroy (2002) Analysis and management of animal populations. Academic Press, San Diego, California, USA.
66. Wolf, C. M., B. Griffith, C. Reed, and S. A. Temple (1996) Avian and mammalian translocations: update and reanalysis of 1987 survey data. Conservation Biology 10: 1142-1154.