Uncertainty and variability in demography and population growth: A hierarchical approach

Ecology

Volumn 84, Issue 6, 2003, Pages 1370-1381

  Clark, James S ^a  

^a DUKE UNIVERSITY   (United States)

Author keywords

Bayesian; Demography; Hierarchical bayes; Matrix models; Population growth; Uncertainty

Indexed keywords

DEMOGRAPHY; POPULATION GROWTH; UNCERTAINTY ANALYSIS;

EID: 0042722200     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9658(2003)084[1370:UAVIDA]2.0.CO;2     Document Type: Review

References (52)

1. Anderson, D. R., AND K. P. Burnham. 1990. Demographic analysis of Northern Spotted Owl populations. Appendix to 1990 status review: Northern Spotted Owl (Strix occidentalis caurina). U.S. Fish and Wildlife Service, Washington, D.C., USA.
2. Andrewartha, H. G., and L. C. Birch. 1954. The distribution and abundance of animals. University of Chicago Press, Chicago, Illinois, USA.
3. Barrowclough, G. F., and S. L. Coats. 1985. The demography and population genetics of owls, with special reference to the conservation of the spotted owl (Strix occidentalis). Pages 74-85 in R. J. Gutierrez and B. Carey, editors. Ecology and management of the spotted owl in the Pacific Northwest. USDA Forest Service, Pacific Northwest Forest and Range Experiment Station, Portland, Oregon, USA.
4. Bjørnstad, O. N., J.-M. Fromentin, J. C. Stenseth, and J. Gjosaeter. 1999. Cycles and trends in cod populations. Proceedings of the National Academy of Sciences (USA) 96: 5066-5071.
5. Calder, C., M. Lavine, P. Møller, and J. S. Clark. 2003. Incorporating multiple sources of stochasticity into dynamic population models. Ecology 84:1395-1402.
6. Carlin, B. P., and T. A. Louis. 2000. Bayes and empirical Bayes methods for data analysis. Chapman and Hall, Boca Raton, Florida, USA.
7. Carpenter, S. R. 1996. Microcosm experiments have limited relevance for community and ecosystem ecology. Ecology 77:677-680.
8. Carpenter, S. R., K. L. Cottingham, and C. A. Stow. 1994. Fitting predator-prey models to time series with observation errors. Ecology 75:1254-1264.
9. Caswell, H. 1989. Matrix population models. Sinauer, Sunderland, Massachusetts, USA.
10. Chase, J. M., and M. A. Leibold. 2002. Spatial scale dictates the productivity-biodiversity relationship. Nature 416: 427-430.
11. Clark, J. S., B. Beckage, P. Camill, B. Cleveland, J. HilleRisLambers, J. Lichter, J. MacLachlan, J. Mohan, and P. Wyckoff. 1999. Interpreting recruitment limitation in forests. American Journal of Botany 86:1-16.
12. Clark, J. S., M. Dietze, I. Ibanez, and J. Mohan. 2003. Coexistence: how to identify trophic trade-offs. Ecology 84: 17-31.
13. Cousins, R. D. 1995. Why isn't every physicist a Bayesian? American Journal of Physics 63:398-410.
14. Diez-Roux, A. V. 1998. Bringing context back into epidemiology: variables and fallacies in multilevel analysis. American Journal of Public Health 88:216-222.
15. Easterling, M. R., S. P. Ellner, and P. M. Dixon. 2000. Size-specific sensitivity: applying a new structured population model. Ecology 81:694-708.
16. Elton, C. 1927. Animal ecology. Sedgwick and Jackson, London, UK.
17. Franklin, A. B. 1992. Population regulation in Northern Spotted Owls: theoretical implications for management. Pages 815-827 in D. R. McCullough and R. H. Barrett, editors. Wildlife 2001: populations. Elsevier Applied Science, London, UK.
18. Franklin, A. B., D. R. Anderson, R. J. Gutierrez, and K. P. Burham. 2000. Climate, habitat quality and fitness in Northern Spotted Owl populations in northwestern California. Ecological Monographs 70:539-590.
19. Gelfand, A. E., S. E. Hills, A. Racine-Poon, and A. F. M. Smith. 1990. Illustration of Bayesian inference in normal data models using Gibbs sampling. Journal of the American Statistical Association 85:972-985.
20. Gelfand, A. E., and S. K. Sahu. 1999. Identifiability, improper priors, and Gibbs sampling for generalized linear models. Journal of the American Statistical Association 94:247-253.
21. Gelfand, A. E., and A. F. M. Smith. 1990. Sampling-based approaches to calculating marginal densities. Journal of the American Statistical Association 85:398-409.
22. Gelman, A., J. B. Carlin, H. S. Stern, and D. B. Rubin. 1995. Bayesian data analysis. Chapman Hall, London, UK.
23. George, E. I., U. E. Makov, and A. F. M. Smith. 1993. Conjugate likelihood distributions. Scandinavian Journal of Statistics 20:147-156.
24. Henson, S. M., R. F. Costantino, J. M. Cushing, R. A. Desharnais, B. Dennis, and A. A. King. 2001. Lattice effects observed in chaotic dynamics of experimental populations. Science 294:602-605.
25. Hilborn, R., and M. Mangel. 1997. The ecological detective. Princeton University Press, Princeton, New Jersey, USA.
26. Jolly, G. M. 1965. Explicit estimates from capture-recapture data with both death and dilution - stochastic model. Biometrika 52:225-247.
27. Kieth, L. B., and L. A. Windberg. 1978. A demographic analysis of the snowshoe hare cycle. Wildlife Monographs 58:1-70.
28. Krebs, C. J., R. Boonstra, S. Boutin, and A. R. E. Sinclair. 2001. What drives the 10-year cycle of snowshoe hares? BioScience 51:25-35.
29. Lande, R. 1988. Demographic models of the Northern Spotted Owl (Strix occidentalis caurina). Oecologia 75:601-607.
30. Lavine, M., B. Beckage, and J. S. Clark. 2002. Statistical modeling of seedling mortality. Journal of Agricultural, Biological, and Environmental Statistics 7:21-41.
31. Lebreton, J.-D., K. P. Burnham, J. Clobert, and D. R. Anderson. 1992. Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecological Monographs 62:67-118.
32. MacGibbon, B., and T. J. Tomberlin. 1989. Small area estimates of proportions via empirical Bayes techniques. Survey Methodology 15:237-252.
33. May, R. M. 1973. Stability and complexity in model ecosystems. Princeton University Press, Princeton, New Jersey, USA.
34. McKelvey, K., B. R. Noon, and R. H. Lamberson. 1993. Conservation planning for species occupying fragmented landscapes: the case of the Northern Spotted Owl. Pages 424-450 in P. M. Kareiva, J. G. Kingsolver, and R. B. Huey, editors. Biotic interactions and global change. Sinauer, Sunderland, Massachusetts, USA.
35. Moloney, K. A. 1996. A generalized algorithm for determining category size. Oecologia 69:179-180.
36. Morris, C. 1983. Parametric empirical Bayes inference: theory and applications. Journal of the American Statistical Association 78:47-65.
37. Myers, R. A., and N. G. Cadigan. 1993. Density-dependent juvenile mortality in marine demersal fish. Canadian Journal of Fisheries and Aquatic Sciences 50:1576-1590.
38. Ogden, J. 1993. Population increase and nesting patterns of the black noddy Anous minutus in Pisonia forest on Heron Island: Observations from 1978, 1979, and 1992. Australian Journal of Ecology 18:395-403.
39. Schwartz, S. 1994. The fallacy of the ecological fallacy: the potential misuse of a concept and the consequences. American Journal of Public Health 84:819-824.
40. Silverman, B. W. 1986. Density estimation for statistics and data analysis. Chapman and Hall, London, UK.
41. Sinclair, A. R. E., J. M. Gosline, G. Holdsworth, C. J. Krebs, S. Boutin, J. N. M. Smith, R. Boostra, and M. Dale. 1993. Can the solar cycle and climate synchronize the snowshoe hare cycle in Canada? Evidence from tree rings and ice cores. American Naturalist 141:173-198.
42. Strong, D. R. 1986. Density vagueness: abiding the variance in the demography of real populations. Pages 257-268 in J. Diamond and T. J. Case, editors. Community ecology. Harper and Row, Cambridge, UK.
43. Stroud, T. 1994. Bayesian analysis of binary survey data. Canadian Journal of Statistics 22:33-45.
44. Stuart, A., and J. K. Ord. 1994. Kendall's advanced theory of statistics. Edward Arnold, London, UK.
45. Turchin, P. 1995. Population regulation: old arguments and a new synthesis. Pages 19-40 in N. Cappuccino and P. W. Price, editors. Population dynamics: new approaches and synthesis. Academic, San Diego, California, USA.
46. Turchin, P., A. D. Taylor, and J. D. Reeve. 1999. Dynamical role of predators in population cycles of a forest insect: an experimental test. Science 285:1068-1071.
47. U.S. Fish and Wildlife Service. 1990. Endangered and threatened wildlife and plants: determine of threatened status for the Northern Spotted Owl. Federal Register 55:26114-26196.
48. Vandermeer, J. 1978. Choosing category size in a stage projection matrix. Oecologia 32:79-84.
49. Ver Hoef, J. M. 1996. Parametric empirical Bayes methods for ecological applications. Ecological Applications 6: 1047-1055.
50. Wikle, C. 2003. Hierarchical Bayesian models for predicting the spread of ecological processes. Ecology 84:1382-1394.
51. Wyckoff, P. H., and J. S. Clark. 2002. Growth and mortality for seven co-occurring tree species in the southern Appalachian Mountains: implications for future forest composition. Journal of Ecology 90:604-615.
52. Zeger, S. L., and M. R. Karim. 1991. Generalized linear models with random effects: a Gibbs sampling approach. Journal of the American Statistical Association 86:79-86.