{"id":27846,"date":"2026-07-03T06:55:41","date_gmt":"2026-07-03T10:55:41","guid":{"rendered":"https:\/\/www.ecoportal.net\/en\/?p=27846"},"modified":"2026-07-01T11:48:06","modified_gmt":"2026-07-01T15:48:06","slug":"coral-reef-hidden-language-ai-discovery","status":"publish","type":"post","link":"https:\/\/www.ecoportal.net\/en\/coral-reef-hidden-language-ai-discovery\/27846\/","title":{"rendered":"Coral reefs have been broadcasting a hidden language for years and AI finally learned to understand it"},"content":{"rendered":"

There is a lot going on beneath the surface<\/strong> of a coral reef \u2014 even if you don’t notice it when looking down at one from the top.<\/p>\n

For years, scientists believed there was a great deal of underwater activity that could never be fully captured. Something has been happening continuously, layered and difficult to interpret.<\/p>\n

It was only after recent advancements in technology<\/strong> that hidden patterns within that activity became visible.<\/p>\n

With artificial intelligence, we can now analyze those signals far more effectively than in the past.<\/p>\n

What did AI first allow scientists to discover about<\/strong> these ecosystems?<\/p>\n

The challenge of monitoring complex marine ecosystems<\/h2>\n

A coral reef is considered one of the most biodiverse ecosystems on the planet. It supports a significant percentage of marine life.<\/p>\n

Approximately a fourth of all species inhabit just one percent of the world\u2019s oceans<\/strong>. Due to such a high number of organisms living in close proximity to each other, observing their activity has always proven challenging.<\/p>\n

Researchers have used acoustic monitoring by installing equipment underwater to track reef environments over time.<\/p>\n

This method captures an array of signals<\/strong> \u2014 both subtle and extreme \u2014 that marine species emit. However, processing this data has been time-consuming.<\/p>\n

Often, scientists had to manually review recordings, identifying one pattern at a time.<\/p>\n

Why traditional survey methods struggle to keep pace<\/h2>\n

As coral reefs face increasing pressure from climate change<\/a> and human activity, this delay has become problematic.<\/p>\n

The need for quicker observation techniques has increased as habitat loss continues due to rising temperatures and human activity.<\/p>\n

Processing vast amounts of data makes tracking population changes an ongoing challenge.<\/strong><\/p>\n

Researchers now use artificial intelligence to analyze large volumes of data automatically.<\/p>\n

Neural networks are used to categorize and interpret marine activity<\/strong> at a scale that would be impossible for humans alone. This allows researchers to process much more information in shorter periods of time.<\/p>\n

As a result, reef conditions can now be analyzed much more broadly.<\/p>\n

Rather than taking weeks, months, or years to determine changes, researchers can now identify those changes in much shorter periods. This is particularly beneficial for rapidly developing ecosystems.<\/strong><\/p>\n

Decoding the hidden acoustic language of coral reefs<\/h2>\n

Artificial intelligence is recognizing non-random patterns in signals generated by organisms living on coral reefs, which represent an audible soundscape.<\/p>\n

Each organism produces a distinct type of activity depending on<\/a> what it is doing, such as movement and feeding.<\/p>\n

When combined, these interactions form recognizable patterns across this environment.<\/p>\n

Where researchers began to make sense of reef sound patterns<\/h3>\n

Although these signals do not resemble human language, they contain meaningful information about which<\/strong> organisms are present and how active they are. Artificial intelligence allows this information to be interpreted more effectively.<\/p>\n

As a result, the previously unknown \u201chidden language\u201d of coral reefs has been identified.<\/p>\n

Their soundscape consists of acoustic signals that indicate life<\/strong> throughout the ecosystem.<\/p>\n

This new understanding is revolutionizing how researchers evaluate these ecosystems.<\/a> <\/p>\n

It moves beyond a reliance on visual observations<\/strong> to include audio\u2011based assessments.<\/p>\n

Overall, healthier reefs produce rich and complex soundscapes, while damaged ones grow quieter over time.<\/p>\n

These differences serve as quantifiable metrics for evaluating ecosystem health<\/strong>. This provides a clearer way to track ongoing changes within reef systems over time.<\/p>\n

Researchers will no longer need to rely on constant visual surveys, allowing reef health to be monitored<\/a> even in low\u2011visibility conditions.<\/p>\n

If you want to learn more about this discovery, you can check the full study here: Seth McCammon, Nathan Formel, Sierra Jarriel, T. Aran Mooney; Rapid detection of fish calls within diverse coral reef soundscapes using a convolutional neural network. J. Acoust. Soc. Am<\/em>. 1 March 2025; 157 (3): 1665\u20131683. https:\/\/doi.org\/10.1121\/10.0035829<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

There is a lot going on beneath the surface of a coral reef \u2014 even if you don’t notice it when looking down at one from the top. For years, scientists believed there was a great deal of underwater activity that could never be fully captured. Something has been happening continuously, layered and difficult to …