Bay of Bengal; Extreme Monsoons Threaten Marine Life

Over 50 world leaders and 1,500 delegates will meet in Nice from 9-13 June 2025 for the third UN Ocean Conference (UNOC 3). The goal: stop the silent collapse of the ocean ecosystem. The conference will unite governments, scientists, businesses, and civil society under one urgent mission.

New research warns that the Bay of Bengal, crucial to global fisheries, faces a growing threat due to extreme monsoon shifts caused by climate change. The study conducted by Rutgers University highlights how these shifts could disrupt marine life. This disruption could endanger food security for millions who depend on its waters for sustenance.

The Bay of Bengal supports nearly 8% of the world’s fishery production. It covers less than 1% of the global ocean. Millions of people living along its coast rely on the sea for food and livelihood.

The monsoon, a key source of freshwater, plays a vital role in ocean productivity. However, changes in its intensity and timing could disrupt the delicate balance, threatening marine life.

EXTREME MONSOON EVENTS: A HISTORY OF DISRUPTION

Scientists studied the Bay’s marine productivity over the past 22,000 years to better understand how monsoon extremes have affected the ecosystem. The findings reveal that both excessively strong and weak monsoons have caused major disruptions in marine productivity.

In periods of extreme monsoon events, surface marine food availability decreased by as much as 50%. This happened because monsoons inhibited the necessary mixing between deep and surface ocean layers. As a result, nutrients could not reach the marine life at the surface.

IMPACT OF CLIMATE CHANGE ON FUTURE MONSOON EXTREMES

Climate change is expected to intensify both the strength and variability of monsoons. This means that future extreme events will likely result in more significant disruption to marine ecosystems.

Researchers suggest that more powerful monsoons will increase freshwater runoff, further stratifying the ocean’s surface and reducing nutrient supply. Weaker monsoons, on the other hand, will diminish ocean circulation, further decreasing the nutrient flow needed for marine life.

FOSSIL EVIDENCE REVEALS PAST OCEAN CHANGES

To understand the long-term impacts, the team analyzed foraminifera, tiny plankton that build calcium carbonate shells. These fossils act as natural records of past ocean conditions. By examining their chemistry, researchers could track historical changes in rainfall, ocean temperatures, and marine life productivity.

UNSETTLING PARALLELS WITH MODERN PROJECTIONS

The study’s findings reveal worrying similarities between past climate conditions and current projections. In periods with extreme monsoon shifts, marine productivity dropped sharply. Modern climate models predict similar outcomes with increasing ocean temperatures and stronger freshwater runoff in the Bay of Bengal.

TWO KEY PERIODS: LESSONS FROM HISTORY

The research highlighted two key historical periods of disruption: Heinrich Stadial 1 (17,500–15,500 years ago) and the early Holocene (10,500–9,500 years ago). During both, extreme monsoon shifts led to severe decreases in marine productivity.

THE INTERPLAY OF MONSOONS AND OCEAN BIOLOGY

Yair Rosenthal, a key researcher, emphasized that the findings offer crucial insights into how marine ecosystems respond to climate shifts. Understanding the relationship between monsoons and ocean biology is critical in predicting future impacts and refining climate models.

POTENTIAL SOLUTIONS: SUSTAINABLE MANAGEMENT OF RESOURCES

To protect the Bay of Bengal’s marine life, sustainable management practices are essential. Experts recommend implementing strategies to manage fisheries more effectively in response to changing monsoon patterns.

The Bay of Bengal, a vital resource for millions, faces a critical threat from extreme monsoons. Climate change could exacerbate these risks, threatening marine food supplies. Immediate action is required to preserve this essential ecosystem and protect food security for coastal populations.

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