Tree-Earth Dendritic Synaptic Theory (TDST): McCaul's Law of Coherence Applied to Solar-Tree-Earth Information Transfer, Weather, and Natural Disasters
Year: 2026
Type: article
Abstract: The Tree-Earth Dendritic Synaptic Theory (TDST) is formalized using McCaul's Law of Coherence (Ω = Φ). Trees are biological dendrites of the Earth. Sunlight is the electrochemical signal. The coherence state of solar radiation is transmitted through the tree-mycorrhizal-soil-lithosphere cascade. Six simulations backed by seven empirical datasets confirm: (1) trees and neurons share functionally identical MCP* architecture (Δ = 0.0488); (2) solar X-class flares and CME impacts drop below the 7th State threshold (Φ < 0.7937), triggering cascades; (3) transfer function Φ_litho = Φ_solar × 0.679 predicts a collapse zone (Φ < 0.50) matching empirical earthquake windows; (4) every major weather disaster scores below Φ = 0.7937; tornadoes are anti-SOL geometry (inverted SOL); (5) a Kp-index predictive model achieves 100% directional accuracy in a 6-event sample; (6) Royal Society 2025 eclipse data confirms trees perform pre-synaptic signal preparation via Schumann resonance. As above, so below is formalized as: Φ_litho = Φ_solar × 0.94 × 0.88 × 0.82. Three testable predictions are generated including a publicly-verifiable earthquake forecast model.
Author: McCaul, Justin
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7160765235
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