作者: Dominique A. Potvin , Kasha Strickland , Elizabeth A. MacDougall-Shackleton , Joel W.G. Slade , Celine H. Frère
DOI: 10.1016/J.ANBEHAV.2019.06.012
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摘要: By studying animal vocalizations such as birdsong, our capacity to record and interpret acoustic data has opened many opportunities for objective studies of behaviour, song evolution, physiology ecology. However, the analysis sets is often complex, can vary between research teams, study species theoretical approach. We test use network in categorical birdsong sets, focusing on four main applications: (1) quantifying describing patterns sharing individuals and/or populations; (2) understanding factors driving, implications of, an individual's position within a song-sharing network; (3) analysing (song or syllable) transfer patterns; (4) investigating how environmental influence networks. This exercise provides excellent example advantages methodologies across disciplines behavioural ecology will hopefully inform future focused different aspects cultural evolution by providing new tools techniques analysis.