Skip to main content

Free Content Notes on the shallow water gorgonian-associated fauna on coral reefs in Singapore

Download Article:
(PDF 106.1 kb)


Gorgonian-associated fauna from Singapore are listed, representated by seven phyla, 17 families, 23 genera and 23 identified and seven unidentified species. Museum reference numbers, method of collection, locality, depth (where available), host, collector, and date collected (where available) are presented for each specimen collected. The associated animal is also classified in terms of the frequency of occurrence on host species (common, occasional, rare), persistence of the relationship (persistent or intermittent occurrence on host), category of association (scavenger, predator, parasite, commensal, mutualist), location in the host (endo- or ecto-symbiont), dependence on host (obligate or facultative), and specificity to particular host species or genera. At least 16 of the 31 known gorgonian species in Singapore host associated fauna.

Document Type: Research Article

Publication date: July 1, 1999

More about this publication?
  • The Bulletin of Marine Science is dedicated to the dissemination of high quality research from the world's oceans. All aspects of marine science are treated by the Bulletin of Marine Science, including papers in marine biology, biological oceanography, fisheries, marine affairs, applied marine physics, marine geology and geophysics, marine and atmospheric chemistry, and meteorology and physical oceanography.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Terms & Conditions
  • ingentaconnect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more
Real Time Web Analytics