Observer differences in individual identification of feral cats from camera trap images

Author:

Sparkes Jessica,Fleming Peter J. S.ORCID

Abstract

Feral cats are a key threat to many Australian native fauna, with camera traps increasingly used to identify individuals for evaluation of management actions. However, observer bias and camera trap settings can affect individual identification rates. We compared feral cat individual identification by two observers with extremes of experience. Arrays of 39–50 camera traps were deployed continuously for 22 months at four sites in the Western Division of New South Wales. Where possible, feral cats were individually identified from phenotypic characteristics by an expert and naïve lay observer. We obtained 10 465 feral cat images, with 72 cats individually identified across the sites. The experienced observer attributed more feral cat events to a known individual compared with the lay observer (21.3 vs 12.9%, respectively). Forty three percent of cat images were similarly tagged by both observers. Daytime events yielded higher identification rates and match success (28.1 vs 19.5 and 17.9 vs 11.8% for day vs night events for the expert and lay observer, respectively). Lack of congruence between observers, combined with a small number of events where cats could be individually identified, and differences in identification accuracy over time and between sites, makes estimation of detection probabilities and errors difficult.

Publisher

CSIRO Publishing

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Reference41 articles.

1. How camera traps work and how to work them.;African Journal of Ecology,2018

2. Ballard, G., Meek, P. D., Doak, S., Fleming, P. J. S., and Sparkes, J. (2014). Camera traps, sand plots and known events: what do camera traps miss? In ‘Camera trapping: wildlife management and research’. (Eds P. Meek, and P. Fleming) pp. 189–202. (CSIRO Publishing: Collingwood, Victoria, Australia.)

3. Estimating and indexing feral cat population abundances using camera traps.;Wildlife Research,2011

4. Braysher, M. (2017). ‘Managing Australia’s pest animals: a guide to strategic planning and effective management.’ (CSIRO Publishing: Clayton South, Victoria, Australia.)

5. Claridge, A. W., and Paull, D. J. (2014). How long is a piece of string? Camera trapping methodology is question dependent. In ‘Camera trapping: wildlife management and research’. (Eds P. Meek, and P. Fleming) pp. 205–214. (CSIRO Publishing: Collingwood, Victoria, Australia.)

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