Bayesian analysis of wildlife age-at-harvest data

Biometrics

Volumn 64, Issue 4, 2008, Pages 1170-1177

  Conn, Paul B ^a,b   Diefenbach, Duane R ^c   Laake, Jeffrey L ^d   Ternent, Mark A ^e   White, Gary C ^f  

^a Colorado State University ^*  (United States)

^b SOUTHEAST FISHERIES SCIENCE CENTER   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d NOAA National Marine Mammal Laboratory   (United States)

^e Pennsylvania Game Commission   (United States)

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

Author keywords

Abundance; Age at harvest; Black bear; Cohort model; Mark recovery model; Recruitment; State space model; Survival

Indexed keywords

HARVESTING; INFORMATION MANAGEMENT; NATURAL RESOURCES MANAGEMENT; POPULATION STATISTICS; RESOURCE ALLOCATION; STATE SPACE METHODS; STOCHASTIC SYSTEMS;

ABUNDANCE; AGE-AT-HARVEST; BAYESIAN ANALYSIS; BLACK BEAR; COHORT MODELS; MARK-RECOVERY MODEL; RECOVERY MODEL; RECRUITMENT; STATE-SPACE MODELS; SURVIVAL;

RECOVERY;

ABUNDANCE; AGE STRUCTURE; BAYESIAN ANALYSIS; BEAR; COHORT ANALYSIS; COMPARATIVE STUDY; DATA SET; DEMOGRAPHY; HARVESTING; POPULATION DYNAMICS; POPULATION MODELING; PRECISION; SAMPLING; STOCHASTICITY; SURVIVAL; WILDLIFE MANAGEMENT;

AGE DISTRIBUTION; ARTICLE; BAYES THEOREM; BEAR; CONTROLLED STUDY; FEMALE; MALE; MATHEMATICAL MODEL; NONHUMAN; POPULATION ABUNDANCE; POPULATION DYNAMICS; SURVIVAL; UNITED STATES; URSUS AMERICANUS;

NORTH AMERICA; PENNSYLVANIA; UNITED STATES;

URSUS AMERICANUS;

EID: 56049103087     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2008.00987.x     Document Type: Article

References (30)

1. Alt, G. L. (1989). Reproductive biology of female black bears and early growth and development of cubs in northeastern Pennsylvania. Ph.D. Thesis, West Virginia University, Morgantown, West Virginia.
2. Barry, S. C., Brooks, S. P., Catchpole, E. A., and Morgan, B. J. T. (2003). The analysis of ring-recovery data using random effects. Biometrics 59, 54 65.
3. Besbeas, P., Freeman, S. N., Morgan, B. J. T., and Catchpole, E. A. (2002). Integrating mark-recapture-recovery and census data to estimate animal abundance and demographic parameters. Biometrics 58, 540 547.
4. Brownie, C., Anderson, D. R., Burnham, K. P., and Robson, D. S. (1985). Statistical inference from band recovery data: A handbook. U.S. Fish and Wildlife Resource Publication (156), Washington, DC.
5. Buckland, S. T., Newman, K. B., Thomas, L., and Koester, N. (2004). State-space models for dynamics of wild animal populations. Ecological Modelling 171, 157 175.
6. Burnham, K. P. (1993). A theory for combined analysis of ring recovery and recapture data. In Marked Individuals in the Study of Bird Populations, J. D. Lebreton and P. M. North (eds 199 213. Basel, Switzerland : Birkhauser.
7. Catchpole, E. A. and Morgan, B. J. T. (1997). Detecting parameter redundancy. Biometrics 84, 187 196.
8. Conn, P. B. (2007). Bayesian analysis of age-at-harvest data, with focus on wildlife monitoring programs. Ph.D. Thesis, Colorado State University, Fort Collins, Colorado.
9. Conn, P. B. and Diefenbach, D. R. (2007). Adjusting age and stage distributions for misclassification errors. Ecology 88, 1977 1983.
10. Deriso, R. B., Quinn, T. J. I., and Neal, P. R. (1985). Catch-age analysis with auxiliary information. Canadian Journal of Fisheries and Aquatic Sciences 42, 815 824.
11. Diefenbach, D. R. and Alt, G. L. (1998). Modeling and evaluation of ear tag loss in black bears. Journal of Wildlife Management 62, 1292 1300.
12. Diefenbach, D. R., Laake, J. L., and Alt, G. L. (2004). Spatio-temporal and demographic variation in the harvest of black bears: Implications for population estimation. Journal of Wildlife Management 68, 947 959.
13. Dupont, W. D. (1983). A stochastic catch-effort method for estimating animal abundance. Biometrics 39, 1021 1033.
14. Fournier, D. and Archibald, C. P. (1982). A general theory for analyzing catch at age data. Canadian Journal of Fisheries and Aquatic Sciences 39, 1195 1207.
15. Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (2004). Bayesian Data Analysis, 2nd edition. Boca Raton, Florida : Chapman and Hall.
16. Giminez, O., Choquet, R., and Lebreton, J. D. (2004). Parameter redundancy in multistate capture-recapture models. Biometric Journal 45, 704 722.
17. Gove, N. E., Skalski, J. R., Zager, P., and Townsend, R. L. (2002). Statistical models for population reconstruction using age-at-harvest data. Journal of Wildlife Management 66, 310 320.
18. Kordek, W. S. and Lindzey, J. S. (1980). Preliminary analysis of female reproductive tracts from Pennsylvania black bears. International Conference on Bear Research and Management 4, 159 161.
19. Laake, J. L. (1992). Catch-effort models and their application to elk in Colorado. Ph.D. Thesis, Colorado State University, Fort Collins, Colorado.
20. Lebreton, J. D., Burnham, K. P., Clobert, J., and Anderson, D. R. (1992). Modeling survival and testing biological hypotheses using marked animals: A unified approach with case studies. Ecological Monographs 62, 67 118.
21. Lewy, P. and Nielson, A. (2003). Modelling stochastic fish stock dynamics using Markov chain Monte Carlo. ICES Journal of Marine Science 60, 743 752.
22. Link, W. A., Royle, J. A., and Hatfield, J. S. (2003). Demographic analysis from summaries of an age-structured population. Biometrics 59, 778 785.
23. Maunder, M. N. (2001). Integrated tagging and catch-at-age analysis (ITCAAN). In Spatial Processes and the Management of Fish Populations, G. H. Kruse, N. Bez, A. Booth, M. W. Dorn, S. Hills, R. N. Lipcius, D. Pelletier, C. Roy, S. J. Smith, and D. Witherell (eds). Alaska Sea Grant College Program Report No. AK-SG-01-02, Fairbanks: University of Alaska.
24. McAllister, M. K. and Ianelli, J. N. (1997). Bayesian stock assessment using catch-age data and the sampling-resampling importance algorithm. Canadian Journal of Fisheries and Aquatic Sciences 54, 284 300.
25. Meyer, R. and Millar, R. B. (1999). Bayesian stock assessment using a state-space implementation of the delay difference model. Canadian Journal of Fisheries and Aquatic Sciences 56, 37 52.
26. Newman, K. B., Buckland, S. T., Lindley, S. T., Thomas, L., and Fernàndez, C. (2006). Hidden process models for animal population dynamics. Ecological Applications 16, 74 86.
27. Rosenberry, C. S., Diefenbach, D. R., and Wallingford, B. D. (2004). Reporting-rate variability and precision of white-tailed deer harvest estimates in Pennsylvania. Journal of Wildlife Management 68, 860 869.
28. Seber, G. A. F. (1982). The Estimation of Animal Abundance and Related Parameters, 2nd edition. Caldwell, NJ : Blackburn Press.
29. Spiegelhalter, D. J., Best, N. G., Carlin, B. P., and van der Linde, A. (2002). Bayesian measures of model complexity and fit. Journal of the Royal Statistical Society, Series B 64, 583 639.
30. Williams, B. K., Nichols, J. D., and Conroy, M. J. (2002). Analysis and Management of Animal Populations. San Diego, California : Academic Press.