Cross-generational effects of climate change on a photosynthetic sponge

Maintenance and Update Frequency: asNeeded Statement: A single person scored the level of bleaching in sponge recruits to eliminate observer bias.\n Credit Andersen M. AIMS and AIMS@JCU Credit Luter LM. Australian Institute of Marine Science (AIMS) and Victoria University of Wellington, New Zealand...

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Other Authors: AIMS Data Centre (distributor), AIMS Data Centre (pointOfContact), Australian Institute of Marine Science (AIMS) (hasAssociationWith), Data Manager, AIMS Data Centre (hasAssociationWith), Webster, N (hasPrincipalInvestigator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
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Online Access:https://researchdata.edu.au/cross-generational-effects-photosynthetic-sponge/1883343
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Summary:Maintenance and Update Frequency: asNeeded Statement: A single person scored the level of bleaching in sponge recruits to eliminate observer bias.\n Credit Andersen M. AIMS and AIMS@JCU Credit Luter LM. Australian Institute of Marine Science (AIMS) and Victoria University of Wellington, New Zealand Credit Laffy P. AIMS Credit Uthicke S. AIMS Credit Versteegn A. AIMS and AIMS@JCU Credit Bell JJ. Victoria University of Wellington, New Zealand Credit Webster NS. AIMS and University of Queensland (QU) Unlike calcifying invertebrates, a number of sponges have demonstrated tolerance to climate scenarios predicted for the future; however, the mechanisms that enable them to cope with ocean warming and ocean acidification are limited. In this project, we examined whether microbiome-mediated cross-generational acclimatization could enable a photosynthetic sponge to survive under predicted climate scenarios. This associated dataset provides information on the mortality and bleaching observed in juvenile sponge recruits that were transplanted to climate scenarios predicted for 2050 and 2100. A visual bleaching assessment was conducted at the end of the 5-week experiment, with mortality captured throughout. Data was entered in excel and visualized using graphs in R.\n \n