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Use of X-radiographs to distinguish members of the Montastraea annularis reef-coral species complex

  • M. Holcomb
  • J. M. Pandolfi
  • I. G. Macintyre
  • A. F. Budd
Conference paper
Part of the Developments in Hydrobiology book series (DIHY, volume 178)

Recent work suggests the Montastraea annularis species complex consists of at least three species, which can be distinguished qualitatively in the field using features related to colony growth (e.g. overall growth form, bumpiness, growth along the colony edge). However, when whole colonies are not available and surfaces are eroded, identification becomes problematic when relying on such characteristics. Characters based on internal skeletal structures are less prone to loss due to taphonomic processes. Previous work has shown that internal corallite architectural features measured in transverse thin sections can be used to distinguish species. To determine whether internal colony-level features measured on X-radiographs can be used, eight characters related to corallite budding and accretionary growth were measured on specimens representing three modern members of the M. annularis species complex (M. annularis, M. faveolata and M. franksi), as well as two fossil forms (columnar and organ-pipe). All eight characters showed significant differences among species. Discriminant function analysis using seven of these characters resulted in distinct species groupings in canonical scores plots and a 100% classification success for specimens from Panamá. These results suggest that measurements made on X-radiographs provide a useful tool for quantitatively distinguishing members of the M. annularis complex as well as between other massive reef corals.

Key words: Montastraea, coral reef, Pleistocene, coral banding, species complex

Keywords

Discriminant Function Analysis Growth Axis Discriminant Function Analysis Edge Curve Center Curve 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 2004

Authors and Affiliations

  • M. Holcomb
    • 1
  • J. M. Pandolfi
    • 2
  • I. G. Macintyre
    • 3
  • A. F. Budd
    • 4
  1. 1.Department of Biological SciencesUniversity of IdahoMoscowUSA
  2. 2.Centre for Marine Studies and Department of Earth SciencesUniversity of QueenslandBrisbaneAustralia
  3. 3.Department of Paleobiology, National Museum of Natural HistorySmithsonian InstitutionWashingtonUSA
  4. 4.Department of GeoscienceUniversity of IowaIowa CityUSA

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