Integrated modeling of bilateral photo-identification data in mark-recapture analyses

Ecology

Volumn 94, Issue 7, 2013, Pages 1464-1471

  McClintock, Brett T ^a   Conn, Paul B ^a   Alonso, Robert S ^b,c   Crooks, Kevin R ^b  

^a NOAA National Marine Mammal Laboratory   (United States)

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

^c U S GEOLOGICAL SURVEY   (United States)

Author keywords

Abundance; Latent multinomial; Mark resight; Noninvasive capture recapture; Photoidentification; Remote camera trapping

Indexed keywords

ABUNDANCE; DATA SET; ECOLOGICAL MODELING; FELID; IDENTIFICATION METHOD; MARK-RECAPTURE METHOD; PHOTOGRAPHY; POPULATION SIZE; REMOTE SENSING;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; ECOSYSTEM; LYNX; MONTE CARLO METHOD; PHYSIOLOGY; POPULATION DENSITY; PROBABILITY; UNITED STATES;

ANIMALS; CALIFORNIA; COMPUTER SIMULATION; ECOSYSTEM; LYNX; MARKOV CHAINS; MODELS, BIOLOGICAL; MONTE CARLO METHOD; POPULATION DENSITY;

EID: 84878910607     PISSN: 00129658     EISSN: None     Source Type: Journal    
DOI: 10.1890/12-1613.1     Document Type: Article

References (22)

1. Arzoumanian, Z., J. Holmberg, and B. Norman. 2005. An astronomical pattern-matching algorithm for computer-aided identification of whale sharks Rhincodon typus. Journal of Applied Ecology 42:999-1011. (Pubitemid 43138555)
2. Berrow, S., J. O'Brien, L. Groth, A. Foley, and K. Voigt. 2012. Abundance estimate of bottlenose dolphins (Tursiops truncatus) in the Lower River Shannon candidate Special Area of Conservation, Ireland. Aquatic Mammals 38:136-144.
3. Bonner, S. J. 2013. Response to: A new method for estimating animal abundance with two sources of data in capture-recapture studies. Methods in Ecology and Evolution. In press.
4. Calambokidis, J., and J. Barlow. 2004. Abundance of blue and humpback whales in the eastern North Pacific estimated by capture-recapture and line-transect methods. Marine Mammal Science 20:63-85. (Pubitemid 38098132)
5. Corkrey, R., S. Brooks, D. Lusseau, K. Parsons, J. W. Durban, P. S. Hammond, and P. M. Thompson. 2008. A Bayesian capture-recapture population model with simultaneous estimation of heterogeneity. Journal of the American Statistical Association 103:948-960.
6. Dempster, A., N. Laird, and D. Rubin. 1977. Maximum likelihood from incomplete data via the EM Algorithm. Journal of the Royal Statistical Society, Series B 39:1-38.
7. Green, P. J. 1995. Reversible jump Markov chain Monte Carlo computation and Bayesian model determination. Biometrika 82:711-732.
8. Hiby, L., W. D. Paterson, P. Redman, J. Watkins, S. D. Twiss, and P. Pomeroy. 2013. Analysis of photo-id data allowing for missed matches and individuals identified from opposite sides. Methods in Ecology and Evolution 4:252-259.
9. Holmberg, J., B. Norman, and Z. Arzoumanian. 2008. Robust, comparable population metrics through collaborative photomonitoring of whale sharks Rhincodon typus. Ecological Applications 18:222-233. (Pubitemid 351544264)
10. Karanth, K. I. L., and J. D. Nichols. 1998. Estimation of tiger densities in India using photographic captures and recaptures. Ecology 79:2852-2862. (Pubitemid 29000644)
11. Link, W. A., J. Yoshizaki, L. L. Bailey, and K. H. Pollock. 2010. Uncovering a latent multinomial: Analysis of mark-recapture data with misidentification. Biometrics 66:178-185.
12. Mackey, B. L., J. W. Durban, S. J. Middlemas, and P. M. Thompson. 2008. A Bayesian estimate of harbour seal survival using sparse photo-identification data. Journal of Zoology 274:18-27. (Pubitemid 350277408)
13. Madon, B., O. Gimenez, B. McArdle, C. S. Baker, and C. Garrigue. 2011. A new method for estimating animal abundance with two sources of data in capture-recapture studies. Methods in Ecology and Evolution 2:390-400.
14. Nair, T., J. B. Thorbjarnarson, P. Aust, and J. Krishnaswamy. 2012. Rigorous gharial population estimation in the Chambal: implications for conservation and management of a globally threatened crocodilian. Journal of Applied Ecology 49:1046-1054.
15. Otis, D. L., K. P. Burnham, G. C. White, and D. R. Anderson. 1978. Statistical-inference from capture data on closed animal populations. Wildlife Monographs 62:7-135.
16. R Development Core Team. 2007. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. www.r-project.com
17. Royle, J. A., K. U. Karanth, A. M. Gopalaswamy, and N. S. Kumar. 2009. Bayesian inference in camera trapping studies for a class of spatial capture-recapture models. Ecology 90: 3233-3244.
18. Samuel, M. D., D. H. Rusch, and S. Craven. 1990. Influence of neck bands on recovery and survival rates of Canada geese. Journal of Wildlife Management 54:45-54.
19. Soisalo, M. K., and S. M. C. Cavalcanti. 2006. Estimating the density of a jaguar population in the Brazilian Pantanal using camera-traps and capture-recapture sampling in combination with GPS radio-telemetry. Biological Conservation 129: 487-496. (Pubitemid 43384167)
20. Williams, B. K., J. D. Nichols, and M. J. Conroy. 2002. Analysis and management of animal populations. Academic Press, San Diego, California, USA.
21. Wilson, B., P. S. Hammond, and P. M. Thompson. 1999. Estimating size and assessing trends in a coastal bottlenose dolphin population. Ecological Applications 9:288-300. (Pubitemid 29114420)
22. Wright, J. A. 2011. Incorporating genotype uncertainty into mark-recapture-type models for estimating abundance using DNA samples. Dissertation. University of Otago, Dundein, New Zealand.