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Wildlife Research Wildlife Research Society
Ecology, management and conservation in natural and modified habitats
RESEARCH ARTICLE

The effect of camera-trap viewshed obstruction on wildlife detection: implications for inference

Remington J. Moll https://orcid.org/0000-0002-0681-2646 A F , Waldemar Ortiz-Calo https://orcid.org/0000-0002-3440-0163 A , Jonathon D. Cepek B , Patrick D. Lorch C , Patricia M. Dennis D E , Terry Robison C and Robert A. Montgomery A
+ Author Affiliations
- Author Affiliations

A Department of Fisheries and Wildlife, Michigan State University, 480 Wilson Road, Room 13, Natural Resources Building, East Lansing, MI 48824, USA.

B Natural Resources, Cleveland Metroparks, 9485 Eastland Road, Strongsville, OH 44149, USA.

C Natural Resources, Cleveland Metroparks, 2277 West Ridgewood Drive, Parma, OH 44134, USA.

D Conservation and Science, Cleveland Metroparks Zoo, 3900 Wildlife Way, Cleveland, OH 44109, USA.

E Department of Veterinary Preventive Medicine, The Ohio State University, 1920 Coffey Road, Columbus, OH 43210, USA.

F Corresponding author. Email: rjmoll@msu.edu

Wildlife Research 47(2) 158-165 https://doi.org/10.1071/WR19004
Submitted: 11 January 2019  Accepted: 19 October 2019   Published: 10 March 2020

Abstract

Context: Camera traps are one of the most popular tools used to study wildlife worldwide. Numerous recent studies have evaluated the efficiency and effectiveness of camera traps as a research tool. Nonetheless, important aspects of camera-trap methodology remain in need of critical investigation. One such issue relates to camera-trap viewshed visibility, which is often compromised in the field by physical obstructions (e.g. trees) or topography (e.g. steep slopes). The loss of visibility due to these obstructions could affect wildlife detection rates, with associated implications for study inference and management application.

Aims: We aimed to determine the effect of camera-trap viewshed obstruction on wildlife detection rates for a suite of eight North American species that vary in terms of ecology, commonness and body size.

Methods: We deployed camera traps at 204 sites throughout an extensive semi-urban park system in Cleveland, Ohio, USA, from June to September 2016. At each site, we quantified camera-trap viewshed obstruction by using a cover-board design. We then modelled the effects of obstruction on wildlife detection rates for the eight focal species.

Key results: We found that detection rates significantly decreased with an increasing viewshed obstruction for five of the eight species, including both larger and smaller mammal species (white-tailed deer, Odocoileus virginianus, and squirrels, Sciurus sp., respectively). The number of detections per week per camera decreased two- to three-fold as visibility at a camera site decreased from completely free of obstruction to mostly obstructed.

Conclusions: These results imply that wildlife detection rates are influenced by site-level viewshed obstruction for a variety of species, and sometimes considerably so.

Implications: Researchers using camera traps should address the potential for this effect to ensure robust inference from wildlife image data. Accounting for viewshed obstruction is critical when interpreting detection rates as indices of abundance or habitat use because variation in detection rate could be an artefact of site-level viewshed obstruction rather than due to underlying ecological processes.

Additional keywords: abundance index, camera traps, study design, visibility.


References

Abade, L., Cusack, J., Moll, R. J., Strampelli, P., Dickman, A. J., Macdonald, D. W., and Montgomery, R. A. (2018). Spatial variation in leopard (Panthera pardus) site use across a gradient of anthropogenic pressure in Tanzania’s Ruaha landscape. PLoS One 13, e0204370.
Spatial variation in leopard (Panthera pardus) site use across a gradient of anthropogenic pressure in Tanzania’s Ruaha landscape.Crossref | GoogleScholarGoogle Scholar | 30304040PubMed |

Anile, S., and Devillard, S. (2016). Study design and body mass influence RAIs from camera trap studies: evidence from the Felidae. Animal Conservation 19, 35–45.
Study design and body mass influence RAIs from camera trap studies: evidence from the Felidae.Crossref | GoogleScholarGoogle Scholar |

Bengsen, A. J., Leung, L. K., Lapidge, S. J., and Iain, J. (2011). Using a general index approach to analyze camera-trap abundance indices. The Journal of Wildlife Management 75, 1222–1227.
Using a general index approach to analyze camera-trap abundance indices.Crossref | GoogleScholarGoogle Scholar |

Brook, L. A., Johnson, C. N., and Ritchie, E. G. (2012). Effects of predator control on behaviour of an apex predator and indirect consequences for mesopredator suppression. Journal of Applied Ecology 49, 1278–1286.
Effects of predator control on behaviour of an apex predator and indirect consequences for mesopredator suppression.Crossref | GoogleScholarGoogle Scholar |

Brown, B. W., and Batzli, G. O. (1984). Habitat selection by fox and gray squirrels: a multivariate analysis. The Journal of Wildlife Management 48, 616–621.
Habitat selection by fox and gray squirrels: a multivariate analysis.Crossref | GoogleScholarGoogle Scholar |

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 |

Carbone, C., Christie, S., Conforti, K., Coulson, T., Franklin, N., Ginsberg, J. R., Griffiths, M., Holden, J., Kawanishi, K., Kinnaird, M., Laidlaw, R., Lynam, A., Macdonald, D. W., Martyr, D., McDougal, C., Nath, L., O’Brien, T., Seidensticker, J., Smith, D. J. L., Sunquist, M., Tilson, R., and Wan Shahruddin, W. N. (2001). The use of photographic rates to estimate densities of tigers and other cryptic animals. Animal Conservation 4, 75–79.
The use of photographic rates to estimate densities of tigers and other cryptic animals.Crossref | GoogleScholarGoogle Scholar |

Carlyle, C. N., Fraser, L. H., Haddow, C. M., Bings, B. A., and Harrower, W. (2010). The use of digital photos to assess visual cover for wildlife in rangelands. Journal of Environmental Management 91, 1366–1370.
The use of digital photos to assess visual cover for wildlife in rangelands.Crossref | GoogleScholarGoogle Scholar | 20226585PubMed |

Claridge, A. W., Mifsud, G., Dawson, J., and Saxon, M. J. (2004). Use of infrared digital cameras to investigate the behaviour of cryptic species. Wildlife Research 31, 645–650.
Use of infrared digital cameras to investigate the behaviour of cryptic species.Crossref | GoogleScholarGoogle Scholar |

Draper, N. R., and Smith, H. (1998). ‘Applied Regression Analysis’. 3rd edn. (John Wiley & Sons: Hoboken, NJ, USA.)

Driessen, M. M., Jarman, P. J., Troy, S., and Callander, S. (2017). Animal detections vary among commonly used camera trap models. Wildlife Research 44, 291–297.
Animal detections vary among commonly used camera trap models.Crossref | GoogleScholarGoogle Scholar |

Fitzgerald, B. M., and Turner, D. C. (2000). Hunting behaviour of domestic cats and their impact on prey populations. In ‘Domestic Cat: the Biology of its Behaviour’. (Eds D. C. Tuner and P. Bateson.) pp. 151–175. (Cambridge University Press: Cambridge, UK.)

Glen, A. S., Anderson, D., Veltman, C. J., Garvey, P. M., and Nichols, M. (2016). Wildlife detector dogs and camera traps: a comparison of techniques for detecting feral cats. New Zealand Journal of Zoology 43, 127–137.
Wildlife detector dogs and camera traps: a comparison of techniques for detecting feral cats.Crossref | GoogleScholarGoogle Scholar |

Gray, T. N. E., and Phan, C. (2011). Habitat preferences and activity patterns of the larger mammal community in Phnom Prich Wildlife Sanctuary, Cambodia. The Raffles Bulletin of Zoology 59, 311–318.

Greene, W. (2008). Functional forms for the negative binomial model for count data. Economics Letters 99, 585–590.
Functional forms for the negative binomial model for count data.Crossref | GoogleScholarGoogle Scholar |

Hamel, S., Killengreen, S. T., Henden, J. A., Eide, N. E., Roed-Eriksen, L., Ims, R. A., and Yoccoz, N. G. (2013). Towards good practice guidance in using camera-traps in ecology: influence of sampling design on validity of ecological inferences. Methods in Ecology and Evolution 4, 105–113.
Towards good practice guidance in using camera-traps in ecology: influence of sampling design on validity of ecological inferences.Crossref | GoogleScholarGoogle Scholar |

Hofmeester, T. R., Rowcliffe, J. M., and Jansen, P. A. (2017). A simple method for estimating the effective detection distance of camera traps. Remote Sensing in Ecology and Conservation 3, 81–89.
A simple method for estimating the effective detection distance of camera traps.Crossref | GoogleScholarGoogle Scholar |

Johnson, A., Vongkhamheng, C., Hedemark, M., and Saithongdam, T. (2006). Effects of human-carnivore conflict on tiger (Panthera tigris) and prey populations in Lao PDR. Animal Conservation 9, 421–430.
Effects of human-carnivore conflict on tiger (Panthera tigris) and prey populations in Lao PDR.Crossref | GoogleScholarGoogle Scholar |

Jones, K. E., Bielby, J., Cardillo, M., Fritz, S. A., O’Dell, J., Orme, C. D. L., Safi, K., Sechrest, W., Boakes, E. H., Carbone, C., Connolly, C., Cutts, M. J., Foster, J. K., Grenyer, R., Habib, M., Plaster, C. A., Price, S. A., Rigby, E. A., Rist, J., Teacher, A., Bininda-Emonds, O. R. P., Gittleman, J. L., Mace, G. M., and Purvis, A. (2009). PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90, 2648.
PanTHERIA: a species-level database of life history, ecology, and geography of extant and recently extinct mammals.Crossref | GoogleScholarGoogle Scholar |

Jones, B. M., Cove, M. V., Lashley, M. A., and Jackson, V. L. (2016). Do coyotes Canis latrans influence occupancy of prey in suburban forest fragments? Current Zoology 62, 1–6.
Do coyotes Canis latrans influence occupancy of prey in suburban forest fragments?Crossref | GoogleScholarGoogle Scholar | 29491884PubMed |

Kaplan, H. (2007). ‘Practical Applications of Infrared Thermal Sensing and Imaging Equipment’. 3rd edn. (SPIE Press: Bellingham, WA, USA.)

Kawanishi, K., Sahak, A. M., and Sunquist, M. (1999). Preliminary analysis on abundance of large mammals at Sungai Relau, Taman Negara. The Journal of Wildlife and Parks 17, 62–82.

Kays, R., Parsons, A. W., Baker, M. C., Kalies, E. L., Forrester, T., Costello, R., Rota, C. T., Millspaugh, J. J., and Mcshea, W. J. (2017). Does hunting or hiking affect wildlife communities in protected areas? Journal of Applied Ecology 54, 242–252.
Does hunting or hiking affect wildlife communities in protected areas?Crossref | GoogleScholarGoogle Scholar |

Kéry, M., and Royle, J. A. (2015). ‘Applied Hierarchical Modeling in Ecology: Analysis of Distribution, Abundance and Species Richness in R and BUGS. Vol. 1. Prelude and Static Models.’ (Elsevier: San Diego, CA, USA.)

Latham, A. D. M., Nugent, G., and Warburton, B. (2012). Evaluation of camera traps for monitoring European rabbits before and after control operations in Otago, New Zealand. Wildlife Research 39, 621–628.
Evaluation of camera traps for monitoring European rabbits before and after control operations in Otago, New Zealand.Crossref | GoogleScholarGoogle Scholar |

Lepard, C. C., Moll, R. J., Cepek, J. D., Lorch, P. D., Dennis, P. M., Robison, T., and Montgomery, R. A. (2019). The influence of the delay-period setting on camera-trap data storage, wildlife detections and occupancy models. Wildlife Research 46, 37–53.
The influence of the delay-period setting on camera-trap data storage, wildlife detections and occupancy models.Crossref | GoogleScholarGoogle Scholar |

Meek, P., and Fleming, P. (Eds) (2014). ‘Camera Trapping: Wildlife Management and Research’. (CSIRO Publishing: Melbourne, Vic., Australia.)

Meek, P. D., and Pittet, A. (2014). A review of the ultimate camera trap for wildlife research and monitoring. In ‘Camera Trapping: Wildlife Management and Research’. (Eds P. D. Meek and P. J. S. Fleming.) pp. 101–109. (CSIRO Publishing: Melbourne, Vic., Australia.)

Meek, P., Ballard, G., and Fleming, P. J. S. (2012). ‘An Introduction to Camera Trapping for Wildlife Surveys in Australia.’ (PestSmart Toolkit publication, Invasive Animals Cooperative Research Centre: Canberra, ACT, Australia.)

Meek, P. D., Vernes, K., and Falzon, G. (2013). On the reliability of expert identification of small–medium sized mammals from camera trap photos. Wildlife Biology in Practice 9, 1–19.
On the reliability of expert identification of small–medium sized mammals from camera trap photos.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 |

Meek, P. D., Ballard, G.-A., and Fleming, P. J. S. (2015). The pitfalls of wildlife camera trapping as a survey tool in Australia. Australian Mammalogy 37, 13–22.
The pitfalls of wildlife camera trapping as a survey tool in Australia.Crossref | GoogleScholarGoogle Scholar |

Meek, P. D., Ballard, G. A., and Falzon, G. (2016). The higher you go the less you will know: placing camera traps high to avoid theft will affect detection. Remote Sensing in Ecology and Conservation 2, 204–211.
The higher you go the less you will know: placing camera traps high to avoid theft will affect detection.Crossref | GoogleScholarGoogle Scholar |

Moll, R. J., Kilshaw, K., Montgomery, R. A., Abade, L., Campbell, R. D., Harrington, L. A., Millspaugh, J. J., Birks, J. D. S., and Macdonald, D. W. (2016). Clarifying habitat niche width using broad-scale, hierarchical occupancy models: a case study with a recovering mesocarnivore. Journal of Zoology 300, 177–185.
Clarifying habitat niche width using broad-scale, hierarchical occupancy models: a case study with a recovering mesocarnivore.Crossref | GoogleScholarGoogle Scholar |

Moll, R. J., Cepek, J. D., Lorch, P. D., Dennis, P. M., Robison, T., Millspaugh, J. J., and Montgomery, R. A. (2018). Humans and urban development mediate the sympatry of competing carnivores. Urban Ecosystems 21, 765–778.
Humans and urban development mediate the sympatry of competing carnivores.Crossref | GoogleScholarGoogle Scholar |

Monterroso, P., Alves, P. C., and Ferreras, P. (2013). Catch me if you can: diel activity patterns of mammalian prey and predators. Ethology 119, 1044–1056.
Catch me if you can: diel activity patterns of mammalian prey and predators.Crossref | GoogleScholarGoogle Scholar |

Moriarty, K. M., Zielinski, W. J., Gonzales, A. G., Dawson, T. E., Boatner, K. M., Wilson, C. A., Schlexer, F. V., Pilgrim, K. L., Copeland, J. P., and Schwartz, M. K. (2009). Wolverine confirmation in California after nearly a century: native or long-distance immigrant? Northwest Science 83, 154–162.
Wolverine confirmation in California after nearly a century: native or long-distance immigrant?Crossref | GoogleScholarGoogle Scholar |

Mysterud, A., and Østbye, E. (1999). Cover as a habitat element for temperate ungulates: effects on habitat selection and demography. Wildlife Society Bulletin 27, 385–394.

Newey, S., Davidson, P., Nazir, S., Fairhurst, G., Verdicchio, F., Irvine, R. J., and van der Wal, R. (2015). Limitations of recreational camera traps for wildlife management and conservation research: a practitioner’s perspective. Ambio 44, 624–635.
Limitations of recreational camera traps for wildlife management and conservation research: a practitioner’s perspective.Crossref | GoogleScholarGoogle Scholar | 26508349PubMed |

Nichols, M., Glen, A., Garvey, P., and Ross, J. (2016). A comparison of horizontal versus vertical camera placement to detect feral cats and mustelids. New Zealand Journal of Ecology 41, 145–150.
A comparison of horizontal versus vertical camera placement to detect feral cats and mustelids.Crossref | GoogleScholarGoogle Scholar |

O’Brien, T. G., Kinnaird, M. F., and Wibisono, H. T. (2003). Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape. Animal Conservation 6, 131–139.
Crouching tigers, hidden prey: Sumatran tiger and prey populations in a tropical forest landscape.Crossref | GoogleScholarGoogle Scholar |

O’Connell, A. F., Nichols, J. D., and Karanth, K. U. (Eds) (2011). ‘Camera Traps in Animal Ecology: Methods and Analyses.’ (Springer: New York, NY, USA.)

Parsons, A. W., Bland, C., Forrester, T., Baker-Whatton, M. C., Schuttler, S. G., McShea, W. J., Costello, R., and Kays, R. (2016). The ecological impact of humans and dogs on wildlife in protected areas in eastern North America. Biological Conservation 203, 75–88.
The ecological impact of humans and dogs on wildlife in protected areas in eastern North America.Crossref | GoogleScholarGoogle Scholar |

Parsons, A. W., Forrester, T., McShea, W. J., Baker-Whatton, M. C., Millspaugh, J. J., and Kays, R. (2017). Do occupancy or detection rates from camera traps reflect deer density? Journal of Mammalogy 98, 1547–1557.
Do occupancy or detection rates from camera traps reflect deer density?Crossref | GoogleScholarGoogle Scholar |

Ramsey, D. S. L., Caley, P. A., and Robley, A. (2015). Estimating population density from presence-absence data using a spatially explicit model. The Journal of Wildlife Management 79, 491–499.
Estimating population density from presence-absence data using a spatially explicit model.Crossref | GoogleScholarGoogle Scholar |

Rovero, F., and Marshall, A. R. (2009). Camera trapping photographic rate as an index of density in forest ungulates. Journal of Applied Ecology 46, 1011–1017.
Camera trapping photographic rate as an index of density in forest ungulates.Crossref | GoogleScholarGoogle Scholar |

Rovero, F., and Zimmermann, F. (2016). ‘Camera Trapping for Wildlife Research.’ (Pelagic Publishing: Exeter, UK.)

Rovero, F., Zimmermann, F., Berzi, D., and Meek, P. (2013). ‘Which camera trap type and how many do I need?’ A review of camera features and study designs for a range of wildlife research applications. Hystrix 24, .
‘Which camera trap type and how many do I need?’ A review of camera features and study designs for a range of wildlife research applications.Crossref | GoogleScholarGoogle Scholar |

Rowcliffe, J. M., Field, J., Turvey, S. T., Carbone, C., Turvey, T., and Nw, L. (2008). Estimating animal density using camera the need for individual recognition traps without. Journal of Applied Ecology 45, 1228–1236.
Estimating animal density using camera the need for individual recognition traps without.Crossref | GoogleScholarGoogle Scholar |

Rowcliffe, J. M., Carbone, C., Jansen, P. A., Kays, R., and Kranstauber, B. (2011). Quantifying the sensitivity of camera traps: an adapted distance sampling approach. Methods in Ecology and Evolution 2, 464–476.
Quantifying the sensitivity of camera traps: an adapted distance sampling approach.Crossref | GoogleScholarGoogle Scholar |

RStudio Team (2015). ‘RStudio: Integrated Development for R. RStudio, Inc., Boston, MA, USA.

Samejima, H., Ong, R., Lagan, P., and Kitayama, K. (2012). Camera-trapping rates of mammals and birds in a Bornean tropical rainforest under sustainable forest management. Forest Ecology and Management 270, 248–256.
Camera-trapping rates of mammals and birds in a Bornean tropical rainforest under sustainable forest management.Crossref | GoogleScholarGoogle Scholar |

Schneider, C. A., Rasband, W. S., and Eliceiri, K. W. (2012). NIH image to ImageJ: 25 years of image analysis. Nature Methods 9, 671–675.
NIH image to ImageJ: 25 years of image analysis.Crossref | GoogleScholarGoogle Scholar | 22930834PubMed |

Sollmann, R., Mohamed, A., Samejima, H., and Wilting, A. (2013). Risky business or simple solution – relative abundance indices from camera-trapping. Biological Conservation 159, 405–412.
Risky business or simple solution – relative abundance indices from camera-trapping.Crossref | GoogleScholarGoogle Scholar |

Stevens, D. L., and Olsen, A. R. (2003). Variance estimation for spatially balanced samples of environmental resources. Environmetrics 14, 593–610.
Variance estimation for spatially balanced samples of environmental resources.Crossref | GoogleScholarGoogle Scholar |

Swann, D. E., Hass, C. C., Dalton, D. C., and Wolf, S. A. (2004). Infrared-triggered cameras for detecting wildlife: an evaluation and review. Wildlife Society Bulletin 32, 357–365.
Infrared-triggered cameras for detecting wildlife: an evaluation and review.Crossref | GoogleScholarGoogle Scholar |

Swann, D. E., Kawanishi, K., and Palmer, J. (2011). Evaluating types and features of camera traps in ecological studies: a guide for researchers. In ‘Camera Traps in Animal Ecology: Methods and Analyses’. (Eds A. F. O’Connell, J. D. Nichols, and K. U. Karanth.) pp. 27–43. (Springer: Tokyo.)

Venables, W. N., and Ripley, B. D. (2002). ‘Modern applied statistics with S’. 4th edn. (Springer: New York, New York, USA.)

Waller, D. M., and Alverson, W. S. (1997). The white-tailed deer: a keystone herbivore. Wildlife Society Bulletin 25, 217–226.
The white-tailed deer: a keystone herbivore.Crossref | GoogleScholarGoogle Scholar |

Wang, Y., Allen, M. L., and Wilmers, C. C. (2015). Mesopredator spatial and temporal responses to large predators and human development in the Santa Cruz Mountains of California. Biological Conservation 190, 23–33.
Mesopredator spatial and temporal responses to large predators and human development in the Santa Cruz Mountains of California.Crossref | GoogleScholarGoogle Scholar |

Welbourne, D. J., Claridge, A. W., Paull, D. J., and Lambert, A. (2016). How do passive infrared triggered camera traps operate and why does it matter? Breaking down common misconceptions. Remote Sensing in Ecology and Conservation 2, 77–83.
How do passive infrared triggered camera traps operate and why does it matter? Breaking down common misconceptions.Crossref | GoogleScholarGoogle Scholar |

Wilson, D. E., and Ruff, S. (1999). ‘The Smithsonian Book of North American Mammals.’ (Smithsonian Institution Press: Washington, DC, USA.)