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J Comp Physiol A Neuroethol Sens Neural Behav Physiol. 2017 Jul;203(6-7):543-564. doi: 10.1007/s00359-017-1165-9. Epub 2017 Mar 25.

Actogram analysis of free-flying migratory birds: new perspectives based on acceleration logging.

Author information

1
Department of Biology, Lund University, Ecology Building, 22362, Lund, Sweden. Johan.Backman@biol.lu.se.
2
Department of Biology, Lund University, Ecology Building, 22362, Lund, Sweden.
3
Center for Macroecology, Evolution and Climate, Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, 2100, Copenhagen, Denmark.

Abstract

The use of accelerometers has become an important part of biologging techniques for large-sized birds with accelerometer data providing information about flight mode, wing-beat pattern, behaviour and energy expenditure. Such data show that birds using much energy-saving soaring/gliding flight like frigatebirds and swifts can stay airborne without landing for several months. Successful accelerometer studies have recently been conducted also for free-flying small songbirds during their entire annual cycle. Here we review the principles and possibilities for accelerometer studies in bird migration. We use the first annual actograms (for red-backed shrike Lanius collurio) to explore new analyses and insights that become possible with accelerometer data. Actogram data allow precise estimates of numbers of flights, flight durations as well as departure/landing times during the annual cycle. Annual and diurnal rhythms of migratory flights, as well as prolonged nocturnal flights across desert barriers are illustrated. The shifting balance between flight, rest and different intensities of activity throughout the year as revealed by actogram data can be used to analyse exertion levels during different phases of the life cycle. Accelerometer recording of the annual activity patterns of individual birds will open up a new dimension in bird migration research.

KEYWORDS:

Accelerometer; Activity; Annual cycle; Bird migration; Flight pattern

PMID:
28343237
PMCID:
PMC5522517
DOI:
10.1007/s00359-017-1165-9
[Indexed for MEDLINE]
Free PMC Article

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