4.7 Article

Fathom out: biogeographical subdivision across the Western Australian continental margin - a multispecies modelling approach

期刊

DIVERSITY AND DISTRIBUTIONS
卷 19, 期 12, 页码 1506-1517

出版社

WILEY
DOI: 10.1111/ddi.12119

关键词

Continental margin; marine biodiversity; finite mixture models; biogeography; bioregions; benthic invertebrates

资金

  1. Australian Government's National Environmental Research Program (NERP)
  2. Institute for Marine and Antarctic Studies, University of Tasmania
  3. CSIRO
  4. Geoscience Australia
  5. Australian Institute of Marine Science
  6. Museum Victoria
  7. Charles Darwin University
  8. University of Western Australia

向作者/读者索取更多资源

AimBiogeographical regions are often used as a basis for management strategies, yet a challenge for biodiversity management across broad scales is establishing biogeographical regions that are robust across taxonomic groups. MethodsFinite mixture models were developed to predict multiple species assemblages termed archetypes. Modelled species archetypes were developed using Decapoda, Ophiuroidea and Polychaeta species, which were grouped based on their similar responses to oceanographic and geographical gradients. LocationOuter-shelf and slope (50-1200m) of the continental margin of Western Australia (similar to 11 degrees S-36 degrees S). ResultsFour faunal regions were defined based on cross-taxa surrogates grouped as archetypes. These faunal regions were defined by oxygen, salinity, carbon and temperature gradients across latitude and bathymetry. Two broad latitudinal bands and two bathyal regions were described. Adjacent faunal groups were not defined by abrupt geographical breaks but rather transitions. Main conclusionsThese results suggest that faunal distributions were less finely resolved than existing marine bioregions on the Western Australian continental margin and that environmental gradients are correlated with distributions of benthic marine invertebrates. Identifying biogeographical regions based on these methods has the potential to inform management across a broad range of environments.

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