Uncovering the Shrinking Global Carbon Sink with AI
Recent research from Peking University reveals alarming findings about our planet’s carbon sinks. Led by researchers Wang Heyuan and Wang Kai, the team used advanced AI models to track significant changes to terrestrial ecosystems, driven by rising global temperatures.
Key Highlights:
- Dramatic Decline: The global land carbon sink has halved in 2024 compared to the past decade, influenced by the recent El Niño events.
- Vulnerability of Ecosystems: Tropical semi-arid grasslands and savannas are particularly at risk, showing greater losses than tropical rainforests due to prolonged drought and heat.
- AI-Driven Insights: Utilizing an in-house model, Carbon Mind, the study promises near-real-time detection of carbon cycle shifts, enabling rapid updates vital for adaptive land-management and policy-making.
This groundbreaking research underscores the pressing need for action and highlights how AI can drive climate strategy.
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