Story perspectives

Satellites, AI Reveal Algal Risks, Fungal Carbon, Human-Driven Warming

6/19/2026

Summary

Story summary

Satellite spectral analysis can detect nutrients and pollutants, allowing real-time assessment of algal bloom risk for 90 % of the world’s population.
Machine-learning models applied to 16,000 soil cores estimate about 110 quadrillion kilometres of fungal hyphae storing roughly 300 megatonnes of carbon.
An analysis of Atlantic sea-surface temperatures finds that long-term warming is now driven mainly by greenhouse gases and aerosols rather than natural ocean cycles.

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Story summary

Satellite spectral analysis can detect nutrients and pollutants, allowing real-time assessment of algal bloom risk for 90 % of the world’s population.
Machine-learning models applied to 16,000 soil cores estimate about 110 quadrillion kilometres of fungal hyphae storing roughly 300 megatonnes of carbon.
An analysis of Atlantic sea-surface temperatures finds that long-term warming is now driven mainly by greenhouse gases and aerosols rather than natural ocean cycles.