Multivariate analysis of biologging data reveals the environmental determinants of diving behaviour in a marine reptile.

Autor:	Hounslow JL; Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Western Australia, Australia.; Environmental and Conservation Science, Murdoch University, Western Australia, Australia., Fossette S; Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Kensington, Western Australia, Australia., Byrnes EE; Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Western Australia, Australia.; Environmental and Conservation Science, Murdoch University, Western Australia, Australia.; Faculty of Science, Simon Fraser University, British Columbia, Canada., Whiting SD; Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Kensington, Western Australia, Australia., Lambourne RN; Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Western Australia, Australia.; Environmental and Conservation Science, Murdoch University, Western Australia, Australia., Armstrong NJ; School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Bentley, Western Australia, Australia., Tucker AD; Biodiversity and Conservation Science, Department of Biodiversity, Conservation and Attractions, Kensington, Western Australia, Australia., Richardson AR; Parks and Wildlife Service, West Kimberley District, Department of Biodiversity, Conservation and Attractions, Broome, Western Australia, Australia., Gleiss AC; Centre for Sustainable Aquatic Ecosystems, Harry Butler Institute, Murdoch University, Western Australia, Australia.; Environmental and Conservation Science, Murdoch University, Western Australia, Australia.
Jazyk:	angličtina
Zdroj:	Royal Society open science [R Soc Open Sci] 2022 Aug 10; Vol. 9 (8), pp. 211860. Date of Electronic Publication: 2022 Aug 10 (Print Publication: 2022).
DOI:	10.1098/rsos.211860
Abstrakt:	Diving behaviour of 'surfacers' such as sea snakes, cetaceans and turtles is complex and multi-dimensional, thus may be better captured by multi-sensor biologging data. However, analysing these large multi-faceted datasets remains challenging, though a high priority. We used high-resolution multi-sensor biologging data to provide the first detailed description of the environmental influences on flatback turtle ( Natator depressus ) diving behaviour, during its foraging life-history stage. We developed an analytical method to investigate seasonal, diel and tidal effects on diving behaviour for 24 adult flatback turtles tagged with biologgers. We extracted 16 dive variables associated with three-dimensional and kinematic characteristics for 4128 dives. K -means and hierarchical cluster analyses failed to identify distinct dive types. Instead, principal component analysis objectively condensed the dive variables, removing collinearity and highlighting the main features of diving behaviour. Generalized additive mixed models of the main principal components identified significant seasonal, diel and tidal effects on flatback turtle diving behaviour. Flatback turtles altered their diving behaviour in response to extreme tidal and water temperature ranges, displaying thermoregulation and predator avoidance strategies while likely optimizing foraging in this challenging environment. This study demonstrates an alternative statistical technique for objectively interpreting diving behaviour from multivariate collinear data derived from biologgers. (© 2022 The Authors.)
Databáze:	MEDLINE
Externí odkaz:	Zobrazit plný text záznamu