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Investigating animal activity patterns and temporal niche partitioning using cameratrap data: challenges and opportunities

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dc.contributor.author Frey, Sandra
dc.contributor.author Fisher, Jason T.
dc.contributor.author Burton, A. Cole
dc.contributor.author Volpe, John P.
dc.date.accessioned 2019-01-10T20:48:21Z
dc.date.available 2019-01-10T20:48:21Z
dc.date.copyright 2017 en_US
dc.date.issued 2017
dc.identifier.citation Frey, S.; Fisher, J. T.; Burton, A. C.; & Volpe, J. P. (2017). Investigating animal activity patterns and temporal niche partitioning using camera-trap data: Challenges and opportunities. Remote Sensing in Ecology and Conservation, 3(3), 123-132. https://doi.org/10.1002/rse2.60 en_US
dc.identifier.uri https://doi.org/10.1002/rse2.60
dc.identifier.uri https://dspace.library.uvic.ca//handle/1828/10508
dc.description.abstract Time‐stamped camera data are increasingly used to study temporal patterns in species and community ecology, including species’ activity patterns and niche partitioning. Given the importance of niche partitioning for facilitating coexistence between sympatric species, understanding how emerging environmental stressors – climate and landscape change, biodiversity loss and concomitant changes to community composition – affect temporal niche partitioning is of immediate importance for advancing ecological theory and informing management decisions. A large variety of analytical approaches have been applied to camera‐trap data to ask key questions about species activity patterns and temporal overlap among heterospecifics. Despite the many advances for describing and quantifying these temporal patterns, few studies have explicitly tested how interacting biotic and abiotic variables influence species’ activity and capacity to segregate along the temporal niche axis. To address this gap, we suggest coordinated distributed experiments to capture sufficient camera‐trap data across a range of anthropogenic stressors and community compositions. This will facilitate a standardized approach to assessing the impacts of multiple variables on species’ behaviours and interactions. Ultimately, further integration of spatial and temporal analyses of camera‐trap data is critical for improving our understanding of how anthropogenic activities and landscape changes are altering competitive interactions and the dynamics of animal communities. en_US
dc.description.sponsorship This work was supported by Innotech Alberta Grant 18788023, the University of Victoria and a NSERC Canada Graduate Scholarship to SF. en_US
dc.language.iso en en_US
dc.publisher Remote Sensing in Ecology and Conservation en_US
dc.subject activity patterns en_US
dc.subject camera trapping en_US
dc.subject competition en_US
dc.subject niche partitioning en_US
dc.subject species coexistence en_US
dc.subject species interactions en_US
dc.title Investigating animal activity patterns and temporal niche partitioning using cameratrap data: challenges and opportunities en_US
dc.type Article en_US
dc.description.scholarlevel Faculty en_US
dc.description.reviewstatus Reviewed en_US


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