Evidence for non-random co-occurrences in a white shark aggregation

Adam Schilds, Johann Mourier, Charlie Huveneers, Leila Nazimi, Andrew Fox, Stephan T. Leu

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)


Groups or aggregations of animals can result from individuals being attracted to a common resource or because of synchronised patterns of daily or seasonal activity. Although mostly solitary throughout its distribution, white sharks (Carcharodon carcharias) seasonally aggregate at a number of sites worldwide to feed on calorie-rich pinnipeds. At the Neptune Islands, South Australia, large numbers of white sharks can be sighted throughout the year, including during periods of low seal abundance. We use a combination of photo-identification and network analysis based on co-occurrence of individuals visiting the site on the same day to elucidate the population structure and aggregatory behaviour of Australia’s largest aggregation of sub-adult and adult white sharks. We photo-identified 282 sharks (183 males, 97 females, 2 unknown) over a 4.5-year period (June 2010–November 2014) and found that white sharks did not randomly co-occur with their conspecifics, but formed four distinct communities. Tendency to co-occur varied across months with males co-occurring with more individuals than females. Sex-dependent patterns of visitation at the Neptune Islands and resulting intraspecific competition likely drive the observed community structure and temporal variability in co-occurrences. This study provides new insights into the aggregatory behaviour of white sharks at a seal colony and shows for the first time that white shark co-occurrence can be non-random.
Original languageEnglish
Article number138
Number of pages12
JournalBehavioral Ecology and Sociobiology
Issue number10
Publication statusPublished - 16 Oct 2019


  • Aggregation
  • Carcharodon carcharias
  • Gregariousness
  • Photo-ID
  • Social behaviour
  • Social network analysis


Dive into the research topics of 'Evidence for non-random co-occurrences in a white shark aggregation'. Together they form a unique fingerprint.

Cite this