Register      Login
Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE (Open Access)

Individual identification via remote video verified by DNA analysis: a case study of the American black bear

Alan B. Ramsey https://orcid.org/0000-0001-6567-8726 A C , Michael A. Sawaya B , Lorinda S. Bullington A and Philip W. Ramsey A
+ Author Affiliations
- Author Affiliations

A MPG Ranch, 1001 South Higgins Avenue Suite A3, Missoula, MT 59801, USA.

B Sinopah Wildlife Research Associates, 127 North Higgins Avenue Suite 310, Missoula, MT 59802, USA.

C Corresponding author. Email: aramsey@mpgranch.com

Wildlife Research 46(4) 326-333 https://doi.org/10.1071/WR18049
Submitted: 14 March 2018  Accepted: 8 March 2019   Published: 27 May 2019

Journal Compilation © CSIRO 2019 Open Access CC BY-NC-ND

Abstract

Context: Researchers and managers often use DNA analysis and remote photography to identify cryptic animals and estimate abundance. Remote video cameras are used less often but offer an increased ability to distinguish similar-looking individuals as well as to observe behavioural patterns that cannot be adequately captured with still photography. However, the use of this approach in species with minimally distinguishing marks has not been tested.

Aims: To determine the utility and accuracy of distinguishing characteristics of American black bears, Ursus americanus, observed on remote video for identifying individuals in an open population.

Methods: We compared individuals identified on video with individuals and their sex identified by DNA analysis of hairs collected from hair traps visited by the bears.

Key results: We found that remote video could be used to determine the number of male and female black bears sampled by the video cameras. Specifically, we matched 13 individual bear genotypes with 13 video identifications, one genotype for each individual. We correctly matched ~82% of video identifications with all 38 genotypes collected from hair traps.

Conclusions: We demonstrated that distinguishing characteristics of a cryptic animal in remote video can be used to accurately identify individuals. Remote video complements genetic analysis by providing information about habitat use and behaviour.

Implications: When remote video cameras can be used to identify individuals, a wealth of other information will subsequently be obtained. Multi-year video-based studies can show sex ratios, and relative physical condition; shed light on fine-scale habitat use, such as when and where animals feed and what they eat; and display social interactions and rare behaviours.

Additional keywords: behaviour, camera trap, cryptic animal, hair trap, human–bear conflict, individual identity, Montana, population demographics, rub object, Ursus americanus, wildlife management.


References

Black, H., Auger, J., and Smith, R. V. (2004). Long-term trapping of black bears on the East Tavaputs Plateau. Black Bears of Utah’s East Tavaputs Plateau 1, 5–19.

Burton, A.C., Neilson, E., Moreira, D., Ladle, A., Steenweg, R., Fisher, J. T., Bayne, E., and Boutin, S. (2015). Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes. Journal of Applied Ecology 52, 675–685.
Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes.Crossref | GoogleScholarGoogle Scholar |

Carmichael, L. E., Krizan, P., Blum, S. P., and Strobeck, C. (2005). Genotyping of pseudohermaphrodite polar bears in Nunavut and advances in DNA sexing techniques. Journal of Mammalogy 86, 160–169.
Genotyping of pseudohermaphrodite polar bears in Nunavut and advances in DNA sexing techniques.Crossref | GoogleScholarGoogle Scholar |

Fisher, J. T., and Bradbury, S. (2014). A multi-method hierarchical modeling approach to quantifying bias in occupancy from noninvasive genetic tagging studies. The Journal of Wildlife Management 78, 1087–1095.
A multi-method hierarchical modeling approach to quantifying bias in occupancy from noninvasive genetic tagging studies.Crossref | GoogleScholarGoogle Scholar |

Harding, L. E. (2004). Habitat use, behaviors, and movements of black bears on the East Tavaputs Plateau Utah Black Bears of Utah’s East Tavaputs Plateau 1, 55–64.

Heilbrun, R. D., Silvy, N. J., Tewes, M. E., and Peterson, M. J. (2003). Using automatically triggered cameras to individually identify bobcats. Wildlife Society Bulletin 31, 748–755.

Karanth, K. U., and Nichols, J. D. (1998). Estimation of tiger densities in India using photographic captures and recaptures. Ecology 79, 2852–2862.
Estimation of tiger densities in India using photographic captures and recaptures.Crossref | GoogleScholarGoogle Scholar |

Kays, R., Crofoot, M.C., Jetz, W., and Wikelski, M. (2015). Terrestrial animal tracking as an eye on life and planet. Science 348, aaa2478-1–aaa2478-9.
Terrestrial animal tracking as an eye on life and planet.Crossref | GoogleScholarGoogle Scholar |

Kendall, K. C., Stetz, J. B., Boulanger, J., Macleod, A. C., Paetkau, D., and White, G. C. (2009). Demography and genetic structure of a recovering grizzly bear population. The Journal of Wildlife Management 73, 3–16.
Demography and genetic structure of a recovering grizzly bear population.Crossref | GoogleScholarGoogle Scholar |

Kilham, B. (2013). ‘Out on a Limb: Bear Society.’ (Chelsea Green Publishing: White River Junction, VT, USA.)

Long, R. A., MacKay, P., Zielinksi, W., and Ray, J. (2008). ‘Noninvasive Survey Methods for Carnivores.’ (Island Press: Washington DC, USA.)

Lyra-Jorge, M. C., Ciocheti, G., Pivello, V. R., and Meirelles, S. T. (2008). Comparing methods for sampling large-and medium-sized mammals: camera traps and track plots. European Journal of Wildlife Research 54, 739.
Comparing methods for sampling large-and medium-sized mammals: camera traps and track plots.Crossref | GoogleScholarGoogle Scholar |

Marks, S. A., and Erickson, A. W. (1966). Age determination in the black bear. The Journal of Wildlife Management 30, 389–410.
Age determination in the black bear.Crossref | GoogleScholarGoogle Scholar |

McCall, B. S., Mitchell, M. S., Schwartz, M. K., Hayden, J., Cushman, S. A., Zager, P., and Kasworm, W. F. (2013). Combined use of mark–recapture and genetic analyses reveals response of a black bear population to changes in food productivity. The Journal of Wildlife Management 77, 1572–1582.
Combined use of mark–recapture and genetic analyses reveals response of a black bear population to changes in food productivity.Crossref | GoogleScholarGoogle Scholar |

McKelvey, K. S., and Schwartz, M. K. (2005). DROPOUT: a program to identify problem loci and samples for noninvasive genetic samples in a capture-mark-recapture framework. Molecular Ecology Notes 5, 716–718.
DROPOUT: a program to identify problem loci and samples for noninvasive genetic samples in a capture-mark-recapture framework.Crossref | GoogleScholarGoogle Scholar |

Meek, P. D., Ballard, G., Claridge, A., Kays, R., Moseby, K., O’Brien, T., O’Connell, A., Sanderson, J., Swann, D. E., Tobler, M., and Townsend, S. (2014). Recommended guiding principles for reporting on camera trapping research. Biodiversity and Conservation 23, 2321–2343.
Recommended guiding principles for reporting on camera trapping research.Crossref | GoogleScholarGoogle Scholar |

Merrick, M. J., and Koprowski, J. L. (2017). Should we consider individual behavior differences in applied wildlife conservation studies? Biological Conservation 209, 34–44.
Should we consider individual behavior differences in applied wildlife conservation studies?Crossref | GoogleScholarGoogle Scholar |

Mulders, R., Boulanger, J., and Paetkau, D. (2007). Estimation of population size for wolverines Gulo gulo at Daring Lake, Northwest Territories, using DNA based mark-recapture methods. Wildlife Biology 13, 38–51.
Estimation of population size for wolverines Gulo gulo at Daring Lake, Northwest Territories, using DNA based mark-recapture methods.Crossref | GoogleScholarGoogle Scholar |

Paetkau, D., and Strobeck, C. (1994). Microsatellite analysis of genetic variation in black bear populations. Molecular Ecology 3, 489–495.
Microsatellite analysis of genetic variation in black bear populations.Crossref | GoogleScholarGoogle Scholar | 7952329PubMed |

Paetkau, D., and Strobeck, C. (1998). Ecological genetic studies of bears using microsatellite analysis. Ursus 10, 299–306.

Peakall, R., and Smouse, P. E. (2006). genalex 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6, 288–295.
genalex 6: genetic analysis in Excel. Population genetic software for teaching and research.Crossref | GoogleScholarGoogle Scholar |

Piggott, M. P., and Taylor, A. C. (2003). Remote collection of animal DNA and its applications in conservation management and understanding the population biology of rare and cryptic species. Wildlife Research 30, 1–13.
Remote collection of animal DNA and its applications in conservation management and understanding the population biology of rare and cryptic species.Crossref | GoogleScholarGoogle Scholar |

Reyes, A., Rodríguez, D., Reyes-Amaya, N., Rodríguez-Castro, D., Restrepo, H., and Urquijo, M. (2017). Comparative efficiency of photographs and videos for individual identification of the Andean bear (Tremarctos ornatus) in camera trapping Therya 8, 83–87.

Roon, D. A., Thomas, M. E., Kendall, K. C., and Waits, L. P. (2005). Evaluating mixed samples as a source of error in non‐invasive genetic studies using microsatellites. Molecular Ecology 14, 195–201.
Evaluating mixed samples as a source of error in non‐invasive genetic studies using microsatellites.Crossref | GoogleScholarGoogle Scholar | 15643963PubMed |

Rounds, R. C. (1987). Distribution and analysis of colourmorphs of the black bear (Ursus americanus). Journal of Biogeography 14, 521–538.
Distribution and analysis of colourmorphs of the black bear (Ursus americanus).Crossref | GoogleScholarGoogle Scholar |

Sawaya, M. A., Ramsey, A. B., and Ramsey, P. W. (2016). American black bear thermoregulation at natural and artificial water sources. Ursus 27, 1–7.

Sloane, M. A., Sunnucks, P., Alpers, D., Beheregaray, B., and Taylor, A. C. (2000). Highly reliable genetic identification of individual northern hairy-nosed wombats from single remotely collected hairs: a feasible censusing method. Molecular Ecology 9, 1233–1240.
Highly reliable genetic identification of individual northern hairy-nosed wombats from single remotely collected hairs: a feasible censusing method.Crossref | GoogleScholarGoogle Scholar | 10972763PubMed |

Sollmann, R., Furtado, M. M., Gardner, B., Hofer, H., Jácomo, A. T., Tôrres, N. M., and Silveira, L. (2011). Improving density estimates for elusive carnivores: accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil. Biological Conservation 144, 1017–1024.
Improving density estimates for elusive carnivores: accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil.Crossref | GoogleScholarGoogle Scholar |

Sollmann, R., Gardner, B., Chandler, R. B., Shindle, D. B., Onorato, D. P., Royle, J. A., and O’Connell, A. F. (2013). Using multiple data sources provides density estimates for endangered Florida panther. Journal of Applied Ecology 50, 961–968.
Using multiple data sources provides density estimates for endangered Florida panther.Crossref | GoogleScholarGoogle Scholar |

Swinnen, K. R., Reijniers, J., Breno, M., and Leirs, H. (2014). A novel method to reduce time investment when processing videos from camera trap studies. PLoS One 9, e98881.
A novel method to reduce time investment when processing videos from camera trap studies.Crossref | GoogleScholarGoogle Scholar | 24918777PubMed |

Taberlet, P., Waits, L. P., and Luikart, G. (1999). Noninvasive genetic sampling: look before you leap. Trends in Ecology & Evolution 14, 323–327.
Noninvasive genetic sampling: look before you leap.Crossref | GoogleScholarGoogle Scholar |

Van Oosterhout, C., Hutchinson, W. F., Wills, D. P. M., and Shipley, P. (2004). MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4, 535–538.
MICRO-CHECKER: Software for identifying and correcting genotyping errors in microsatellite data.Crossref | GoogleScholarGoogle Scholar |

Vine, S. J., Crowther, M. S., Lapidge, S. J., Dickman, C. R., Mooney, N., Piggott, M. P., and English, A. W. (2009). Comparison of methods to detect rare and cryptic species: a case study using the red fox (Vulpes vulpes). Wildlife Research 36, 436–446.
Comparison of methods to detect rare and cryptic species: a case study using the red fox (Vulpes vulpes).Crossref | GoogleScholarGoogle Scholar |

Woods, J. G., Paetkau, D., Lewis, D., McLellan, B. N., Proctor, M., and Strobeck, C. (1999). Genetic tagging of free-ranging black and brown bears. Wildlife Society Bulletin 27, 616–627.