JOURNAL ARTICLE
Cryptic biodiversity inhabiting coral reef sponges.
Published In: Marine Ecology, 2023, v. 44, n. 2. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: George, Anita M.; Abdo, Dave; Wahab, Muhammad Azmi Abdul; Ekins, Merrick; Hooper, John N. A.; Whalan, Steve 3 of 3
Abstract
Sponges host a wide range of cryptic biodiversity both internally and externally. This study quantified the biodiversity inhabiting, or associated with, three morphologically distinct coral reef sponges. Coelocarteria singaporensis, Coscinoderma mathewsi and Ircinia microconulosa were collected from fringing reefs at Orpheus Island, central Great Barrier Reef, across monsoonal seasons (wet and dry) and diurnal periods (morning, afternoon and night for C. singaporensis) to quantify Sponge Associated Biota (SAB). A total of 8489 SAB was sorted from 77 sponges. Twenty‐six taxa, across 3 kingdoms and 12 phyla were recorded. Sponge‐associated biota was dominated by Mollusca in all three sponge hosts (range ~ 46%–50%) but taxa were found from a number of other phyla including, Arthropoda, Annelida, Echinodermata, Cnidaria, Foraminifera and Nemertea. There was no effect of season on abundances of SAB within the three species of sponge, but there was a significant effect associated with sponge host species, driven by a higher number of SAB in C. singaporensis and I. microconulosa. The diurnal patterns of SAB within C. singaporensis showed consistent abundances of mobile invertebrate groups with molluscs, echinoderms and arthropods dominating these samples. This study also highlights the ecological role and contribution of SAB in the reef ecosystems. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Marine Ecology. 2023/04, Vol. 44, Issue 2, p1
- Document Type:Article
- Subject Area:Science
- Publication Date:2023
- ISSN:0173-9565
- DOI:10.1111/maec.12747
- Accession Number:163160761
- Copyright Statement:Copyright of Marine Ecology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.