From CSIRO Marlin

Exploring the potential of bath sponge aquaculture in Torres Strait 2005

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Created 13/01/2025

Updated 13/01/2025

A series of farming experiments were done in Torres Strait using the common bath sponge Coscinoderma n. sp. to establish commercially viable culture procedures. The first experiment compared several farming methods and found that mesh panels promoted greatest sponge growth and survival, probably because they cause minimal tissue damage. Using mesh panels, a subsequent experiment examined the importance of farming site and season of transplant. Sponge growth and survival were similar between the three farming sites, while growth was highest for explants transplanted at the end of winter. These explants doubled in size on average in 6 months. The final experiment examined the optimal explant size to transplant and found that 'medium sized' explants (104 cm3) have good growth and survival, and permit high explant production from a given amount of sponge biomass. This study has identified good farming procedures, and coupled with the high growth rates of Coscinoderma n. sp., it suggests that bath sponge aquaculture in Torres Strait will be a viable industry.

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Field Value
Title Exploring the potential of bath sponge aquaculture in Torres Strait 2005
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/985b4fd5-662c-4008-a4ff-2f414b79256a
Contact Point
Atlantic Oceanographic and Meteorological Laboratory (AOML)
a.duckworth@aims.gov.au
Reference Period 01/12/2004 - 01/09/2006
Geospatial Coverage {"type": "Polygon", "coordinates": [[[142.0, -11.0], [143.0, -11.0], [143.0, -9.0], [142.0, -9.0], [142.0, -11.0]]]}
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Exploring the potential of bath sponge aquaculture in Torres Strait 2005". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/exploring-the-potential-of-bath-sponge-aquaculture-in-torres-strait-20052

No duplicate datasets found.