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Citation

Moss A, Peh JH, Afiqah-Aleng N, Segaran TC, Gao H, Wang P, Handayani KS, Lananan F, Wei LS, Fitzer S & Azra MN (2024) Aquaculture and climate change: a data-driven analysis. Annals of Animal Science. https://doi.org/10.2478/aoas-2024-0085

Abstract
As climate change increasingly impacts the aquaculture industry, it poses challenges to production quality, management, and sustainability. This study provides a scientometric analysis of 47 years of research on aquaculture and climate change, analysing 4,785 articles and 224,895 references through CiteSpace software. The study highlights enduring themes such as "ocean acidification" and "global warming," alongside emerging concerns like "deforestation" and "nutrient runoff," reflecting new research directions. Notably, "seasonal variations" persist as a key focus due to their significant impact on aquaculture practices. Fourteen research clusters were identified, revealing a diverse array of topics from environmental performance to the effects of blue food systems and ocean acidification on marine life. Clusters related to "carbon sequestration," "seaweed farming," and "integrated multi-trophic aquaculture (IMTA)" emphasise the shift toward innovative practices aimed at mitigating climate impacts and enhancing sustainability. The analysis shows a need for more collaborative research, particularly from leading contributors such as the USA, Europe and Australia with underrepresented regions like Southeast Asia and Africa, to develop resilient aquaculture systems capable of adapting to climatic challenges. It advocates for the integration of new technologies and the exploration of sustainable aquaculture practices that minimise environmental impacts while enhancing global food security. This approach sets a direction for future research to promote adaptive strategies and technological innovations in aquaculture.

Keywords
temperature; Marine biodiversity; seasonal variations; hypoxia; ocean acidification

Journal
Annals of Animal Science

• Aquaculture-and-climate-change-a-datadriven-analysis (1)