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Time series analysis of biologging data: autocorrelation reveals periodicity of diving behaviour in macaroni penguins

Abstract:

The nature of how behaviour at one time step influences the next is of great interest to behavioural ecologists, but rarely used for comparisons between animals. Time depth recorders (TDR) and other archival tags have been widely used to infer patterns of diving and foraging. However, while we can extract variables that describe individual dives, how runs of dives may indicate behaviours and how one dive influences the next are not fully understood. Treating TDR data as time series, we examin...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
Journal:
ANIMAL BEHAVIOUR
Volume:
79
Issue:
4
Pages:
845-855
Publication date:
2010-04-01
DOI:
ISSN:
0003-3472
Source identifiers:
381579
Language:
English
Keywords:
Pubs id:
pubs:381579
UUID:
uuid:b5f94636-8916-47fb-93ef-b70ce6f8a9bc
Local pid:
pubs:381579
Deposit date:
2013-11-16

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