Misidentification error associated with classifications of white‐tailed deer images

ABSTRACT Camera traps are widely used to monitor wildlife, with important management decisions often relying on interpretation of these data. Animal misidentifications are known to be an important source of error in wildlife surveys that require the identification of unique individuals from camera‐t...

Full description

Saved in:
Bibliographic Details
Main Authors: Chad H. Newbolt, Stephen S. Ditchkoff
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:Wildlife Society Bulletin
Subjects:
Online Access:https://doi.org/10.1002/wsb.985
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1846120088644616192
author Chad H. Newbolt
Stephen S. Ditchkoff
author_facet Chad H. Newbolt
Stephen S. Ditchkoff
author_sort Chad H. Newbolt
collection DOAJ
description ABSTRACT Camera traps are widely used to monitor wildlife, with important management decisions often relying on interpretation of these data. Animal misidentifications are known to be an important source of error in wildlife surveys that require the identification of unique individuals from camera‐trap data; however, the practice of broadly classifying animal images according to sex or age has received less critical attention despite the significant potential for misidentification error under certain circumstances. From 19 January to 1 April 2017, we solicited a group of 726 participants, consisting of both wildlife professionals and nonprofessionals from across the United States, to take an online survey that tested their ability to classify images of known white‐tailed deer (Odocoileus virginianus) according to sex and age. Our goal was to determine the relative influence of tested observer (i.e., experience and familiarity with classifying deer images) and image‐based factors (i.e., distance of deer from camera, day vs. night image) on accuracy of deer classifications. Our results indicated that respondents that were wildlife biologists and those with greater levels of experience viewing deer images were more accurate than others when classifying posthunting season images of deer as adult male, adult female, or fawn. However, the sex–age group of the deer was the most influential predictor of classification reliability, with branched‐antlered adult males being classified more accurately by all respondent groups than were adult females and fawns. Our findings emphasized that animal misidentifications may be an important source of survey error not only when identifying unique individuals, but also under any circumstance where comparative groups lack definitive traits. We suggest that those using camera traps to evaluate wildlife populations should select survey periods that maximize differences among classification groups, when possible, and develop species‐specific image training for observers to improve the reliability of results. Further, population demographics should be considered when evaluating the overall reliability of survey results for species where classification accuracy varies among sex–age groups. © 2019 The Wildlife Society.
format Article
id doaj-art-ab2c5a2a424c4cd1b42619d89b83dab2
institution Kabale University
issn 2328-5540
language English
publishDate 2019-09-01
publisher Wiley
record_format Article
series Wildlife Society Bulletin
spelling doaj-art-ab2c5a2a424c4cd1b42619d89b83dab22024-12-16T13:30:52ZengWileyWildlife Society Bulletin2328-55402019-09-0143352753610.1002/wsb.985Misidentification error associated with classifications of white‐tailed deer imagesChad H. Newbolt0Stephen S. Ditchkoff1School of Forestry and Wildlife Sciences Auburn University AL 36849 USASchool of Forestry and Wildlife Sciences Auburn University AL 36849 USAABSTRACT Camera traps are widely used to monitor wildlife, with important management decisions often relying on interpretation of these data. Animal misidentifications are known to be an important source of error in wildlife surveys that require the identification of unique individuals from camera‐trap data; however, the practice of broadly classifying animal images according to sex or age has received less critical attention despite the significant potential for misidentification error under certain circumstances. From 19 January to 1 April 2017, we solicited a group of 726 participants, consisting of both wildlife professionals and nonprofessionals from across the United States, to take an online survey that tested their ability to classify images of known white‐tailed deer (Odocoileus virginianus) according to sex and age. Our goal was to determine the relative influence of tested observer (i.e., experience and familiarity with classifying deer images) and image‐based factors (i.e., distance of deer from camera, day vs. night image) on accuracy of deer classifications. Our results indicated that respondents that were wildlife biologists and those with greater levels of experience viewing deer images were more accurate than others when classifying posthunting season images of deer as adult male, adult female, or fawn. However, the sex–age group of the deer was the most influential predictor of classification reliability, with branched‐antlered adult males being classified more accurately by all respondent groups than were adult females and fawns. Our findings emphasized that animal misidentifications may be an important source of survey error not only when identifying unique individuals, but also under any circumstance where comparative groups lack definitive traits. We suggest that those using camera traps to evaluate wildlife populations should select survey periods that maximize differences among classification groups, when possible, and develop species‐specific image training for observers to improve the reliability of results. Further, population demographics should be considered when evaluating the overall reliability of survey results for species where classification accuracy varies among sex–age groups. © 2019 The Wildlife Society.https://doi.org/10.1002/wsb.985camera trapmisidentification errorOdocoileus virginianussurveytrail camerawhite‐tailed deer
spellingShingle Chad H. Newbolt
Stephen S. Ditchkoff
Misidentification error associated with classifications of white‐tailed deer images
Wildlife Society Bulletin
camera trap
misidentification error
Odocoileus virginianus
survey
trail camera
white‐tailed deer
title Misidentification error associated with classifications of white‐tailed deer images
title_full Misidentification error associated with classifications of white‐tailed deer images
title_fullStr Misidentification error associated with classifications of white‐tailed deer images
title_full_unstemmed Misidentification error associated with classifications of white‐tailed deer images
title_short Misidentification error associated with classifications of white‐tailed deer images
title_sort misidentification error associated with classifications of white tailed deer images
topic camera trap
misidentification error
Odocoileus virginianus
survey
trail camera
white‐tailed deer
url https://doi.org/10.1002/wsb.985
work_keys_str_mv AT chadhnewbolt misidentificationerrorassociatedwithclassificationsofwhitetaileddeerimages
AT stephensditchkoff misidentificationerrorassociatedwithclassificationsofwhitetaileddeerimages