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AI reveals a massive algae boom across the world’s oceans

An AI analysis of 1.2 million satellite images shows that floating algae blooms are spreading across the global ocean. The rapid growth of massive seaweed mats could reshape marine habitats while bringing foul-smelling decay, ecological damage, and economic losses to coastlines.

Scientists have utilized artificial intelligence to conduct the first comprehensive global assessment of floating algae, revealing a significant expansion of algae blooms across the world's oceans. Researchers attribute this growth to changes in ocean temperatures, currents, and nutrient levels, which could have far-reaching implications for marine ecosystems, tourism, public health, and coastal economies.

Led by scientists at the University of South Florida and the National Oceanic and Atmospheric Administration, the study highlights how AI can process vast amounts of satellite data that would be challenging to analyze manually. The findings show that both microalgal scum and macroalgal mats have increased globally between 2003 and 2022, with microalgae expanding at a rate of one percent per year and macroalgae experiencing more rapid growth rates in certain regions.

Notably, the study identifies 2010 as a turning point for macroalgae blooms, with the emergence of large blooms of the green seaweed Ulva in the Yellow Sea and the development of major sargassum blooms in the tropical Atlantic and East China Sea. The researchers caution that while macroalgae can provide benefits such as habitats and nursery grounds for marine species, their expansion in coastal areas can lead to issues such as damage to marine environments, threats to human and animal health, and financial losses for coastal communities.

The study, published in Nature Communications, underscores the need for further research to better understand the factors driving the spread of floating algae and the potential consequences for the world's oceans.

Written by urgent.news from ScienceDaily's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at sciencedaily.com →

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