Trees Predicting Eclipses Study Debunked by New Analysis 2026

A 2025 study claiming that trees can predict solar eclipses has been debunked by a new analysis. The original research, conducted in a coniferous forest in the Dolomites, suggested that trees respond to eclipses through changes in their internal electrical activity. However, scientists Ariel Novoplansky and Hezi Yizhaq argue in a recent paper published in Trends in Plant Science that the results were purely speculative and that other factors likely explain the observed electrical changes.

What the Original Study Claimed

The Italian research team placed electrical sensors on Norway spruce (Picea abies) trees during a partial eclipse visible in the Dolomites in 2022. They reported changes in the trees' electrical activity—specifically in the electroma, the set of electrical impulses transmitted through plant tissues in response to external stimuli such as water stress or temperature changes.

The researchers suggested that these electrical changes were linked to the eclipse, implying that trees might have some predictive ability. The study gained popularity as an example of "curious science," even though eclipses can be predicted with far greater accuracy using astronomical methods.

Why the Analysis Rejects the Claim

Novoplansky and Yizhaq's analysis points out that the original study did not adequately rule out alternative explanations. Changes in the trees' electrical activity could easily result from fluctuations in temperature, light intensity, or humidity that occur during an eclipse—not from any predictive mechanism.

Furthermore, the analysis emphasizes that the electrical signals observed in plants are part of normal physiological responses to environmental stress. Interpreting them as evidence of eclipse prediction is a leap that lacks empirical support.

The Science of Plant Electrophysiology

Plants do generate electrical signals, but these are not akin to a nervous system. The electroma refers to the network of electrical impulses that travel through plant tissues in response to stimuli like wounding, water stress, or temperature shifts. These signals help plants coordinate responses such as closing stomata or adjusting growth. Context on how this played out before sits in Trees Predicting Eclipses Study Debunked by New Analysis.

While plant electrophysiology is a legitimate field, it is still poorly understood compared to animal neurobiology. Researchers caution against anthropomorphizing these signals or attributing them to complex behaviors like eclipse prediction. The background to this story is set out in AI Model Beats Standard Methods at Predicting Cyclones. A related thread runs through AI Agents Learn to Self-Improve by Predicting Errors Before They Happen.

Key Takeaways from the Debunking

• The original study observed electrical changes in trees during an eclipse but did not prove a causal link.
• Alternative explanations such as temperature and light fluctuations were not sufficiently excluded.
• Plant electrical signals are real but do not imply predictive abilities.
• The debunking highlights the importance of rigorous controls in scientific studies.
• Eclipses are predictable through astronomy, not biology.

Comparing the Studies

Why This Matters for Science Communication

The viral spread of the original study illustrates how sensational claims can overshadow careful scientific scrutiny. While curiosity-driven research is valuable, it must be held to the same standards of evidence as any other field. Earlier coverage in Science: latest articles shows how the argument developed. A closer look at the same subject appears in Eclipse 2026: Conspiracy Theories and Hoaxes Behind the Hype.

The debunking serves as a reminder that extraordinary claims require extraordinary evidence—and that the natural world, while fascinating, does not need to possess supernatural abilities to be worthy of study. Anyone following the wider picture can start with NASA Gravity Map Reveals Earth's True Lumpy Shape. The same theme surfaces in Dark Energy May Not Exist: New Oxford Study Sparks Debate, which takes a different angle.