Likelihood-based photograph identification: Application with photographs of free-ranging bison

Wildlife Society Bulletin

Volumn 38, Issue 1, 2014, Pages 196-204

  Merkle, Jerod A ^a   Fortin, Daniel ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

Bison bison; Capture mark recapture; Computer assisted photographic identification; Likelihood; Misidentification; Photogrammetry; Photographic mark recapture

Indexed keywords

ADULT; AERIAL SURVEY; ALGORITHM; HABITAT SELECTION; MARK-RECAPTURE METHOD; MAXIMUM LIKELIHOOD ANALYSIS; METADATA; MONITORING; MORPHOLOGY; PHOTOGRAMMETRY; PHOTOGRAPH; POPULATION DYNAMICS; POPULATION MODELING; POPULATION SIZE; RANGE SIZE; RESEARCH WORK; UNGULATE; WILDLIFE MANAGEMENT;

CANADA; PRINCE ALBERT NATIONAL PARK; SASKATCHEWAN;

EID: 84899095358     PISSN: 00917648     EISSN: 19385463     Source Type: Journal    
DOI: 10.1002/wsb.382     Document Type: Article

References (53)

1. Abramoff, M. D., P. J. Magalhaes, and S. J. Ram. 2004. Image processing with ImageJ. Biophotonics International 11:36-42.
2. Anderson, C. J. R., N. D. Lobo, J. D. Roth, and J. M. Waterman. 2010. Computer-aided photo-identification system with an application to polar bears based on whisker spot patterns. Journal of Mammalogy 91:1350-1359.
3. Araabi, B. N., N. Kehtarnavaz, T. McKinney, G. Hillman, and B. Wursig. 2000. A string matching computer-assisted system for dolphin photoidentification. Annals of Biomedical Engineering 28:1269-1279.
4. Ardovini, A., L. Cinque, and E. Sangineto. 2008. Identifying elephant photos by multi-curve matching. Pattern Recognition 41:1867-1877.
5. 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.
6. Berger, J. 2012. Estimation of body-size traits by photogrammetry in large mammals to inform conservation. Conservation Biology 26:769-777.
7. Bergeron, P. 2007. Parallel lasers for remote measurements of morphological traits. Journal of Wildlife Management 71:289-292.
8. Bergeson, D. 1992. A comparative assessment of management problems associated with the free-roaming bison in Prince Albert National Park. Thesis, University of Manitoba, Winnipeg, Canada.
9. Bolger, D. T., T. A. Morrison, B. Vance, D. Lee, and H. Farid. 2012. A computer-assisted system for photographic mark-recapture analysis. Methods in Ecology and Evolution 3:813-822.
10. Cattet, M., J. Boulanger, G. Stenhouse, R. A. Powell, and M. L. Reynolds- Hogland. 2008. An evaluation of long-term capture effects in ursids: implications for wildlife welfare and research. Journal of Mammalogy 89:973-990.
11. Cutler, T. L., and E. S. Don. 1999. Using remote photography in wildlife ecology: a review. Wildlife Society Bulletin 27:571-581.
12. Efron, B., and R. Tibshirani. 1986. Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Statistical Science 1:54-75.
13. Flinn, J. J. 2010. Accuracy of estimating age and antler size of photographed deer. Mississippi State University, Mississippi State, USA.
14. Fortin, D., J. M. Fryxell, L. O'Brodovich, and D. Frandsen. 2003. Foraging ecology of bison at the landscape and plant community levels: the applicability of energy maximization principles. Oecologia 134:219-227.
15. Foster, G., H. Krijger, and S. Bangay. 2006. Zebra fingerprints: towards a computer- aided identification system for individual zebra, African Journal of Ecology 45:225-227.
16. Gamble, L., S. Ravela, and K. McGarigal. 2008. Multi-scale features for identifying individuals in large biological databases: an application of pattern recognition technology to the marbled salamander Ambystoma opacum. Journal of Applied Ecology 45:170-180.
17. Gope, C., N. Kehtarnavaz, G. Hillman, and B. Wü rsig. 2005. An affine invariant curve matching method for photo-identification of marine mammals. Pattern Recognition 38:125-132.
18. Gordon, H. R., B. C. Bock, M. B. Gordon, and A. S. Rand. 1988. Techniques for identifying individual lizards at a distance reveal influences of handling. Copeia 1988:905-913.
19. Goswami, V. R., M. D. Madhusudan, and K. U. Karanth. 2007. Application of photographic capture-recapture modelling to estimate demographic parameters for male Asian elephants. Animal Conservation 10:391-399.
20. Higashide, D., S. Miura, and H. Miguchi. 2012. Are chest marks unique to Asiatic black bear individuals? Journal of Zoology 288:199-206.
21. Huffard, C. L., R. L. Caldwell, N. DeLoach, D. W. Gentry, P. Humann, B. MacDonald, B. Moore, R. Ross, T. Uno, and S. Wong. 2008. Individually unique body color patterns in octopus (Wunderpus photogenicus) allow for photoidentification. PLoS ONE 3:e3732.
22. Huggins, R. M. 1989. On the statistical analysis of capture experiments. Biometrika 76:133-140.
23. Huggins, R. M. 1991. Some practical aspects of a conditional likelihood approach to capture experiments. Biometrics 47:725-732.
24. Kelly, M. J. 2001. Computer-aided photograph matching in studies using individual identification: an example from Serengeti cheetahs. Journal of Mammalogy 82:440-449.
25. Krausman, P. R., V. C. Bleich, J. W. Cain, T. R. Stephenson, D. W. DeYoung, P. W. McGrath, P. K. Swift, B. M. Pierce, and B. D. Jansen. 2004. From the field: neck lesions in ungulates from collars incorporating satellite technology. Wildlife Society Bulletin 32:987-991.
26. 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.
27. Lukacs, P. M., and K. P. Burnham. 2005. Estimating population size from DNA-based closed capture-recapture data incorporating genotyping error. Journal of Wildlife Management 69:396-403.
28. Meekan, M. G., C. J. A. Bradshaw, M. Press, C. McLean, A. Richards, S. Quasnichka, and J. G. Taylor. 2006. Population size and structure of whale sharks Rhincodon typus at Ningaloo Reef, western Australia. Marine Ecology-Progress Series 319:275-285.
29. Morrison, T. A., and D. T. Bolger. 2012. Wet season range fidelity in a tropical migratory ungulate. Journal of Animal Ecology 81:543-552.
30. Morrison, T., J. Yoshizaki, J. D. Nichols, and D. Bolger. 2011. Estimating survival in photographic capture-recapture studies: overcoming misidentification error. Methods in Ecology and Evolution 2:454-463.
31. Ngoprasert, D., D. H. Reed, R. Steinmetz, and G. A. Gale. 2012. Density estimation of Asian bears using photographic capture-recapture sampling based on chest marks. Ursus 23:117-133.
32. Nichols, J. D. 1992. Capture-recapture models. BioScience 42:94-102.
33. Nietfeld, M. T., M. W. Barret, and N. Silvy. 1994. Wildlife marking techniques. Pages 140-168 in T. A. Bookhout, editor. Research and management techniques for wildlife and habitats. The Wildlife Society, Bethesda, Maryland, USA.
34. Norris, J. L., and K. H. Pollock. 1996. Nonparametric MLE under two closed capture recapture models with heterogeneity. Biometrics 52:639-649.
35. Pledger, S. 2000. Unified maximum likelihood estimates for closed capture- recapture models using mixtures. Biometrics 56:434-442.
36. Powell, R. A., and G. Proulx. 2003. Trapping and marking terrestrial mammals for research: integrating ethics, performance criteria, techniques, and common sense. ILAR Journal 44:259-276.
37. R Core Team. 2012. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
38. Rowe, J. S. 1972. Forest regions of Canada. Canadian Forestry Service, Ottawa, Ontario, Canada.
39. Sacchi, R., S. Scali, D. Pellitteri-Rosa, F. Pupin, A. Gentilli, S. Tettamanti, L. Cavigioli, L. Racina, V. Maiocchi, P. Galeotti, and M. Fasola. 2010. Photographic identification in reptiles: a matter of scales. Amphibia- Reptilia 31:489-502.
40. Sanderson, E. W., K. H. Redforda, B. Weber, K. Aune, D. Baldes, J. Berger, D. Carter, C. Curtin, J. Derr, S. Dobrott, E. Fearn, C. Fleener, S. Forrest, C. Gerlach, C. Gates, J. E. Gross, P. Gogan, S. Grassel, J. A. Hilty, M. Jensen, K. Kunkel, D. Lammers, R. List, K. Minkowski, T. Olson, C. Pague, P. B. Robertson, and B. Stephensom. 2008. The ecological future of the North American bison: conceiving long-term, large-scale conservation of wildlife. Conservation Biology 22:252-266.
41. Schofield, G., K. A. Katselidis, P. Dimopoulos, and J. D. Pantis. 2008. Investigating the viability of photo-identification as an objective tool to study endangered sea turtle populations. Journal of Experimental Marine Biology and Ecology 360:103-108.
42. Shaffer, M. L. 1981. Minimum population sizes for species conservation. BioScience 31:131-134.
43. Shury, T. K., D. Frandsen, and L. O'Brodovich. 2009. Anthrax in freeranging bison in the Prince Albert National Park area of Saskatchewan in 2008. Canadian Veterinary Journal 50:152.
44. Skalski, J. R., K. E. Ryding, and J. J. Millspaugh. 2005. Wildlife demography: analysis of sex, age, and count data. Elsevier Academic Press, Burlington, Massachusetts, USA.
45. Speed, C. W., M. G. Meekan, and C. J. A. Bradshaw. 2007. Spot the match -wildlife photo-identification using information theory. Frontiers in Zoology 4:2.
46. Timmermann, H. 1993. Use of aerial surveys for estimating and monitoring moose populations-a review. Alces 29:35-46.
47. Van Tienhoven, A. M., J. E. Den Hartog, R. A. Reijns, and V. M. Peddemors. 2007. A computer-aided program for pattern-matching of natural marks on the spotted raggedtooth shark Carcharias taurus. Journal of Applied Ecology 44:273-280.
48. Via, S., and R. Lande. 1985. Genotype-environment interaction and the evolution of phenotypic plasticity. Evolution 39:505-522.
49. Waite, J. N., and J.-A. E. Mellish. 2009. Inter- and intra-researcher variation in measurement of morphometrics on Steller sea lions (Eumetopias jubatus). Polar Biology 32:1221-1225.
50. Waits, L. P., and D. Paetkau. 2005. Noninvasive genetic sampling tools for wildlife biologists: a review of applications and recommendations for accurate data collection. Journal of Wildlife Management 69:1419-1433.
51. White, G. C., and K. P. Burnham. 1999. Program MARK: survival estimation from populations of marked animals. Bird Study 46:S120-S139.
52. Wilson, B., P. M. Thompson, P. S. Hammond, K. Grellier, and C. A. Sanders-Reed. 2003. Use of photo-identification data to quantify mother- calf association patterns in bottlenose dolphins. Canadian Journal of Zoology 81:1421-1427.
53. Yoshizaki, J., K. H. Pollock, C. Brownie, and R. A. Webster. 2009. Modeling misidentification errors in capture-recapture studies using photographic identification of evolving marks. Ecology 90:3-9.