Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Assessing arrays of multiple trail cameras to detect North American mammals.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- Author(s): Evans BE;Evans BE; Mosby CE; Mosby CE; Mortelliti A; Mortelliti A
- Source:
PloS one [PLoS One] 2019 Jun 17; Vol. 14 (6), pp. e0217543. Date of Electronic Publication: 2019 Jun 17 (Print Publication: 2019).
- Publication Type:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
- Language:
English
- Additional Information
- Source:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
- Publication Information:
Original Publication: San Francisco, CA : Public Library of Science
- Subject Terms:
- Abstract:
Motion triggered camera traps are an increasingly popular tool for wildlife research and can be used to survey for multiple species simultaneously. As with all survey techniques, it is crucial to conduct camera trapping research following study designs that include adequate spatial and temporal replication, and sufficient probability of detecting species presence. The use and configuration of multiple camera traps within a single survey site are understudied considerations that could have a substantial impact on detection probability. Our objective was to test the role that camera number (one, two or three units), and spacing along a linear transect (100 m or 150 m), have on the probability of detecting a species given it is present. From January to March, 2017 we collected data on six mammal species in Maine, USA: coyote (Canis latrans), fisher (Pekania pennanti), American marten (Martes americana), short-tailed weasel (Mustela erminea), snowshoe hare (Lepus americanus), and American red squirrel (Tamiasciurus hudsonicus). We used multi-scale occupancy modelling to compare pooled detection histories of different configuration of five cameras deployed at the same survey site (n = 32), and how the configuration would influence the probability of detecting a species given it was available at the site. Across all six species, we found substantial increases in probability of detection as the number of cameras increased from one to two (22 to 400 percent increase), regardless of the spacing between cameras. For most species the magnitude of the increase was less substantial when adding a third camera (4 to 85 percent increase), with coyote and snowshoe hare showing a pronounced effect. The influence of survey station features also varied by species. We suggest that using pooled data from two or three cameras at a survey site is a cost effective approach to increase detection success over a single camera.
Competing Interests: The authors have declared that no competing interests exist.
- References:
PLoS One. 2016 Nov 30;11(11):e0166689. (PMID: 27902733)
Ecol Appl. 2017 Oct;27(7):2031-2047. (PMID: 28644579)
Conserv Biol. 2012 Jun;26(3):432-41. (PMID: 22594594)
Science. 2013 Nov 15;342(6160):850-3. (PMID: 24233722)
Ecol Lett. 2010 Nov;13(11):1325-37. (PMID: 20678146)
PLoS One. 2017 Apr 19;12(4):e0175684. (PMID: 28422973)
PLoS One. 2014 Feb 05;9(2):e88025. (PMID: 24505361)
Ambio. 2015 Nov;44 Suppl 4:624-35. (PMID: 26508349)
PeerJ. 2014 Aug 28;2:e532. (PMID: 25210658)
PLoS One. 2016 Sep 07;11(9):e0161055. (PMID: 27603134)
Ecol Evol. 2017 Jul 27;7(17):6826-6838. (PMID: 28904763)
- Publication Date:
Date Created: 20190618 Date Completed: 20200219 Latest Revision: 20200309
- Publication Date:
20231215
- Accession Number:
PMC6576775
- Accession Number:
10.1371/journal.pone.0217543
- Accession Number:
31206527
_0.png)
No Comments.