Hierarchical modeling of population stability and species group attributes from survey data

Ecology

Volumn 83, Issue 6, 2002, Pages 1743-1751

  Sauer, John R ^a   Link, William A ^a  

^a PATUXENT WILDLIFE RESEARCH CENTER   (United States)

Author keywords

Birds; Breeding Bird Survey; Conservation action; Hierarchical models; Markov chain Monte Carlo methods; Population stability; Population trends; Ranking estimates; Species group attributes; Surveys

Indexed keywords

MARKOV CHAIN; MONTE CARLO ANALYSIS; POPULATION DYNAMICS; POPULATION MODELING; SURVEY; TREND ANALYSIS;

AVES;

EID: 0037633165     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/0012-9658(2002)083[1743:HMOPSA]2.0.CO;2     Document Type: Article

References (22)

1. Efron, B., and Morris. 1977. Stein's paradox in statistics. Scientific American 236:119-127.
2. Flather, C. H., and J. R. Sauer. 1996. Using landscape ecology to test hypotheses about large-scale abundance patterns in migratory songbirds. Ecology 77:28-35.
3. Gelman, A., J. B. Carlin, H. S. Stern, and D. R. Rubin. 1995. Bayesian data analysis. Chapman and Hall, New York, New York, USA.
4. Gilks, W. R., S. Richardson, and D. J. Spiegelhalter. 1996. Markov chain Monte Carlo in Practice. Chapman and Hall, New York, New York, USA.
5. Harvey, P. H., and M. D. Pagel. 1991. The Comparative method in evolutionary biology. Oxford University Press, New York, New York, USA.
6. James, F. C., C. E. McCulloch, and D. A. Wiedenfeld. 1996. New approaches to the analysis of population trends in land birds. Ecology 77:13-27.
7. Kass, R. E., B. P. Carlin, A. Gelman, and R. M. Neal. 1998. Markov chain Monte Carlo in practice: a roundtable discussion. American Statistician 52:93-100.
8. Link, W. A., and J. R. Sauer. 1994. Estimating equations estimates of trends. Bird Populations 2:23-32.
9. Link, W. A., and J. R. Sauer. 1995. Estimation of empirical mixing distributions in summary analyses. Biometrics 51:810-821.
10. Link, W. A., and J. R. Sauer. 1996. Extremes in ecology: avoiding the misleading effects of sampling variation in summary analyses. Ecology 77:1633-1640.
11. Link, W. A., and J. R. Sauer. 1997. New approaches to the analysis of population trends in land birds: a comment on statistical methods. Ecology 78:2632-2634.
12. Link, W. A., and J. R. Sauer. 1998. Estimating population change from count data: application to the North American Breeding Bird Survey. Ecological Applications 8:258-268.
13. Louis, T. A. 1984. Estimating a population of parameter values using Bayes and empirical Bayes methods. Journal of the American Statistical Association 79:393-398.
14. Mannan, R. W., M. L. Morrison, and E. C. Meslow. 1984. Comment: the use of guilds in forest bird management. Wildlife Society Bulletin 12:426-430.
15. Peterjohn, B. G., and J. R. Sauer. 1993. North American Breeding Bird Survey annual summary 1990-1991. Bird Populations 1:52-67.
16. Peterjohn, B. G., and J. R. Sauer. 1999. Population status of North American grassland birds from the North American Breeding Bird Survey, 1966-1996. Studies in Avian Biology 19:27-44.
17. Peterjohn, B. G., J. R. Sauer, and W. A. Link. 1997. The 1994 and 1995 summary of the North American Breeding Bird Survey. Bird Populations 3:48-66.
18. Robbins, C. S., D. Bystrak, and P. H. Geissler. 1986. The Breeding Bird Survey: its first fifteen years, 1965-1979. U.S. Fish and Wildlife Service, Resource Publication 157.
19. Robbins, C. S., J. R. Sauer, R. S. Greenberg, and S. Droege. 1989. Population declines in North American birds that migrate to the neotropics. Proceedings of the National Academy of Sciences (USA) 86:7658-7662.
20. Rubin, D. B. 1984. Bayesianly justifiable and relevant frequency calculations for the applied statistician. Annals of Statistics 12:1151-1172.
21. Sauer, J. R., J. E. Hines, G. Gough, I. Thomas, and B. G. Peterjohn. 1997. The North American Breeding Bird Survey results and analysis. Version 96.4. Patuxent Wildlife Research Center, Laurel, Maryland [Online, URL: (http://www.mbr-pwrc.usgs.gov/bbs/bbs.htm).]
22. Spiegelhalter, D. J., A. Thomas, N. G. Best, and W. R. Gilks. 1995. BUGS: Bayesian inference using Gibbs sampling, Version 0.50. MRC Biostatistics Unit, Cambridge, UK.