The problem and promise of scale in multilayer animal social networks

Abstract Scale remains a foundational concept in ecology. Spatial scale, for instance, has become a central consideration in the way we understand landscape ecology and animal space use. Meanwhile, scale-dependent social processes can range from fine-scale interactions to co-occurrence and overlappi...

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Bibliographic Details
Published in:Current Zoology
Main Authors: Robitaille, Alec L, Webber, Quinn M R, Turner, Julie W, Vander Wal, Eric
Other Authors: Silk, Matthew, Vanier Canada Graduate Scholarship, Natural Sciences and Engineering Research Council of Canada Discovery
Format: Article in Journal/Newspaper
Language:English
Published: Oxford University Press (OUP) 2020
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Online Access:http://dx.doi.org/10.1093/cz/zoaa052
http://academic.oup.com/cz/advance-article-pdf/doi/10.1093/cz/zoaa052/34571454/zoaa052.pdf
http://academic.oup.com/cz/article-pdf/67/1/113/40510938/zoaa052.pdf
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Summary:Abstract Scale remains a foundational concept in ecology. Spatial scale, for instance, has become a central consideration in the way we understand landscape ecology and animal space use. Meanwhile, scale-dependent social processes can range from fine-scale interactions to co-occurrence and overlapping home ranges. Furthermore, sociality can vary within and across seasons. Multilayer networks promise the explicit integration of the social, spatial, and temporal contexts. Given the complex interplay of sociality and animal space use in heterogeneous landscapes, there remains an important gap in our understanding of the influence of scale on animal social networks. Using an empirical case study, we discuss ways of considering social, spatial, and temporal scale in the context of multilayer caribou social networks. Effective integration of social and spatial processes, including biologically meaningful scales, within the context of animal social networks is an emerging area of research. We incorporate perspectives that link the social environment to spatial processes across scales in a multilayer context.