Evidence for a broad-scale decline in giant Australian cuttlefish (Sepia apama) abundance from non-targeted survey data

Thomas A.A. Prowse, Bronwyn M. Gillanders, Barry W. Brook, Anthony J. Fowler, Karina C. Hall, Michael A. Steer, Camille Mellin, N. Clisby, Jason E. Tanner, Tim M. Ward, Damien A. Fordham

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

Little is known about the population trajectory and dynamics of many marine invertebrates because of a lack of robust observational data. The giant Australian cuttlefish (Sepia apama) is IUCN-listed as Near Threatened because the largest known breeding aggregation of this species in northern Spencer Gulf, South Australia, has declined markedly since the turn of the century. We used by-catch records from long-term trawl surveys to derive abundance data for S. apama and commercial cuttlefish harvest data as a measure of exploitation. Using Bayesian hierarchical models to account for zero-inflation and spatial dependence in these abundance counts, we demonstrated a high probability of broad-scale declines in the density of S. apama, particularly surrounding the primary aggregation site, which supports the recent closure of the entire S. apama fishery in northern Spencer Gulf. Historical harvest data were positively correlated with S. apama density estimated from the trawl surveys, suggesting that the commercial cuttlefish catch tracks the species abundance. Our results also indicated the possibility that the known S. apama breeding grounds might be supplemented by individuals that were spawned elsewhere in northern Spencer Gulf.

Original languageEnglish
Pages (from-to)692-700
Number of pages9
JournalMarine and Freshwater Research
Volume66
Issue number8
DOIs
Publication statusPublished - 2015
Externally publishedYes

Keywords

  • Bayesian hierarchical model
  • Cephalopoda
  • commercial harvest
  • conditional autoregressive model
  • vector autoregression.

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