Predicting the effect of fouling organisms and climate change on integrated shellfish aquaculture

Aquaculture industry represents a continuously growing sector playing a fundamental role in pursuing United Nation's goals. Increasing sea-surface temperatures, the growth of encrusting species and current cage cleaning practices proved to affect the productivity of commercial species. Here, th...

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Bibliographic Details
Published in:	Marine pollution bulletin Vol. 201; p. 116167
Main Authors:	Giacoletti, A., Bosch-Belmar, M., Mangano, M.C., Tantillo, M.F., Sarà, G., Milisenda, G.
Format:	Journal Article
Language:	English
Published:	England Elsevier Ltd 01-04-2024
Subjects:	Animals Aquaculture Climate Change DEB models Functional traits Harmful cnidarian Mussels Mytilus Reproducibility of Results Shellfish - analysis Functional traits Climate-change Mussels Harmful cnidarian DEB models
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Summary:	Aquaculture industry represents a continuously growing sector playing a fundamental role in pursuing United Nation's goals. Increasing sea-surface temperatures, the growth of encrusting species and current cage cleaning practices proved to affect the productivity of commercial species. Here, through a Dynamic Energy Budget application under two different IPCC scenarios, we investigate the long-term effects of Pennaria disticha fragments' on Mytilus galloprovincialis' functional traits as a result of cage cleaning practices. While Climate-Change did not exert a marked effect on mussels' Life-History traits, the simulated effect of cage cleanings highlighted a positive effect on total weight, fecundity and time to commercial size. West-Mediterranean emerged as the most affected sector, with Malta, Montenegro, Morocco, Syria, Tunisia and Turkey between the top-affected countries. These outcomes confirm the reliability of a DEB-approach in projecting at different spatial and temporal scale eco-physiological results, avoiding the limitation of short-term studies and the difficulties of long-term ones. [Display omitted] •Our approach predicts long-term effects overcoming short-term study limitations.•The FT-DEB model projects at wider spatial/temporal scales eco-physiological results.•Our model identifies positive patterns under considered climate change scenarios.•Regional trends highlight Lebanon, Malta and Montenegro as the most influenced.•Informative predictions can guide aquaculture, aiding species and site planning.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0025-326X 1879-3363
DOI:	10.1016/j.marpolbul.2024.116167