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      Can remote infrared cameras be used to differentiate small, sympatric mammal species? A case study of the black-tailed dusky antechinus, Antechinus arktos and co-occurring small mammals in southeast Queensland, Australia

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          Abstract

          The black-tailed dusky antechinus ( Antechinus arktos) is an endangered, small carnivorous marsupial endemic to Australia, which occurs at low population density along with abundant sympatric populations of other small mammals: Antechinus stuartii, Rattus fuscipes and Melomys cervinipes. Using A. arktos as a model species, we aimed to evaluate the effectiveness of infrared digital camera traps for detecting and differentiating small mammals and to comment on the broad applicability of this methodology. We also sought to understand how the detection probabilities of our target species varied over time and characterize their activity patterns. We installed 11 infrared cameras at one of only three known sites where A. arktos occurs for five consecutive deployments. Cameras were fixed to wooden stakes and oriented vertically, 35 cm above ground, directly facing bait containers. Using this method, we successfully recorded and identified individuals from all four species of small mammal known previously in the area from live trapping, including A. arktos. This validates the effectiveness of the infrared camera type and orientation for small mammal studies. Periods of activity for all species were highly coincident, showing a strong peak in activity during the same two-hour period immediately following sunset. A. arktos, A. stuartii and M. cervinipes also displayed a strong negative linear relationship between detection probability and days since deployment. This is an important finding for camera trapping generally, indicating that routine camera deployment lengths (of one-to-two weeks) between baiting events may be too long when targeting some small mammals.

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          Quantifying levels of animal activity using camera trap data

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            A comparison of the effectiveness of camera trapping and live trapping for sampling terrestrial small-mammal communities

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              Optimising Camera Traps for Monitoring Small Mammals

              Practical techniques are required to monitor invasive animals, which are often cryptic and occur at low density. Camera traps have potential for this purpose, but may have problems detecting and identifying small species. A further challenge is how to standardise the size of each camera’s field of view so capture rates are comparable between different places and times. We investigated the optimal specifications for a low-cost camera trap for small mammals. The factors tested were 1) trigger speed, 2) passive infrared vs. microwave sensor, 3) white vs. infrared flash, and 4) still photographs vs. video. We also tested a new approach to standardise each camera’s field of view. We compared the success rates of four camera trap designs in detecting and taking recognisable photographs of captive stoats ( Mustela erminea ), feral cats ( Felis catus ) and hedgehogs ( Erinaceus europaeus ). Trigger speeds of 0.2–2.1 s captured photographs of all three target species unless the animal was running at high speed. The camera with a microwave sensor was prone to false triggers, and often failed to trigger when an animal moved in front of it. A white flash produced photographs that were more readily identified to species than those obtained under infrared light. However, a white flash may be more likely to frighten target animals, potentially affecting detection probabilities. Video footage achieved similar success rates to still cameras but required more processing time and computer memory. Placing two camera traps side by side achieved a higher success rate than using a single camera. Camera traps show considerable promise for monitoring invasive mammal control operations. Further research should address how best to standardise the size of each camera’s field of view, maximise the probability that an animal encountering a camera trap will be detected, and eliminate visible or audible cues emitted by camera traps.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: MethodologyRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: MethodologyRole: ResourcesRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                9 August 2017
                2017
                : 12
                : 8
                : e0181592
                Affiliations
                [1 ] School of Earth, Environmental and Biological Sciences, Science and Engineering Faculty, Queensland University of Technology, Brisbane, Qld, Australia
                [2 ] School of Biological Sciences, Science Faculty, University of Auckland, Auckland, New Zealand
                University of Sydney, AUSTRALIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                http://orcid.org/0000-0001-7556-0908
                Article
                PONE-D-17-14380
                10.1371/journal.pone.0181592
                5549885
                28792958
                bf91a040-f921-454a-8cc4-d97a9c966284
                © 2017 Gray et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 13 April 2017
                : 3 July 2017
                Page count
                Figures: 5, Tables: 4, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100008190, Holsworth Wildlife Research Endowment;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100010321, Australian Geographic Society;
                Award Recipient :
                Gold Coast City Council, the School of Earth, Environmental and Biological Sciences at the Queensland University of Technology provided access to vehicles and field equipment. ELG was financially supported by an Australian Postgraduate Award for doctoral research. Australian Geographic ($1,000) ELG. Gold Coast City Council ($2 000) AMB/ Holsworth Wildlife Research Endowment ($3 000) ELG AMB. HOLSW2015-1-F146. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
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                Engineering and Technology
                Equipment
                Optical Equipment
                Cameras
                Biology and Life Sciences
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                Animals
                Vertebrates
                Amniotes
                Mammals
                People and Places
                Geographical Locations
                Oceania
                Australia
                Biology and Life Sciences
                Physiology
                Physiological Parameters
                Medicine and Health Sciences
                Physiology
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                Biology and Life Sciences
                Anatomy
                Head
                Ears
                Medicine and Health Sciences
                Anatomy
                Head
                Ears
                Engineering and Technology
                Equipment
                Optical Equipment
                Cameras
                Digital Cameras
                Biology and Life Sciences
                Organisms
                Animals
                Animal Types
                Wildlife
                Biology and Life Sciences
                Zoology
                Animal Types
                Wildlife
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