Botanical Axis: A Unified TSTOEAO Framework for Plant–Insect–Fungal Signal Networks

Botanical Axis: A Unified TSTOEAO Framework for Plant–Insect–Fungal Signal Networks


DOI:


John Swygert 


November 27, 2025

 

Abstract


This publication of the Botanical Axis model integrates plant-insect-fungal-soil interactions as a multi-dimensional data network under TSTOEAO. Axes map chemical signals (e.g., volatiles as packets) across equilibria, predicting collapse cascades from precursor assaults to myco-opportunism. Enhancements include network graphs, equilibrium equations, and cross-links to prior works (e.g., IPH, MIPE). The framework reveals botany as substrate-encoded transactions, offering diagnostic tools for arbor ecology and restoration amid climate shifts. 

I. Introduction

This paper refines the Botanical Axis as TSTOEAO's unified map for arbor interactions, treating ecosystems as "biological internets" where chemicals carry data. This evolves from v100 by adding graph theory, equations, and ties to IPH/MIPE (Swygert 2025a–d), forecasting collapses via axis imbalances.

II. The Botanical Axis Model Evolved

Four intersecting axes:

  1. Plant Immune Axis: pH, terpenes, resins, volatiles as defense packets.

  2. Insect Precursor Axis: Lanternflies/borers as exploiters, tunneling as data breaches.

  3. Mycological Opportunism Axis: Fungi/lichens toggling parasitic-symbiotic via signal cues.

  4. Soil Chemistry Axis: Nitrogen/microbe shifts modulating network bandwidth.

Equilibrium:

V=E×YV = E \times YV = E \times Y

, where V=viability, E=energy allocation, Y=signal yield. Imbalances propagate as waves.

II.1 Network Analogy: Biological Internet

  • Trees: Servers (store/process signals).

  • Mycorrhizae: Cables (transmit fungi-plant exchanges).

  • Insects: Hackers (exploit volatiles as maps).

  • Soil: Routers (modulate via pH/minerals).

  • Volatiles: Broadcasts (e.g., terpenes as alerts).

Graph: Nodes=organisms, edges=chemical links; collapses = cascade failures. Table: Axis Interactions

Axis

Key Signals

Role in Collapse

Prediction

Plant Immune

Volatiles, phenolics

Defense narrowing

Downregulation post-assault

Insect Precursor

Honeydew, galleries

Priming

3–6 mo lead to fungal breach

Mycological

Mycelial chemicals

Opportunism

Blooms at pH shifts

Soil Chemistry

Nitrates, acids

Feedback

Amplifies network decay

III. Pattern of Collapse

  1. Insect arrival disrupts plant axis.

  2. Immune suppression distorts signals.

  3. Fungi exploit via opportunism axis.

  4. Soil shifts propagate to neighbors.

  5. Equilibrium restores via decay/renewal.

Ties to IPH: Precursor as entry hack; MIPE: Fungi as sentinel routers.

IV. TSTOEAO Interpretation

Botany = substrate transactions; axes = equilibrium vectors. Collapses = data overloads, resolvable via axial diagnostics.

V. Implications

  • Diagnostics: Monitor volatiles for early axes imbalances.

  • Restoration: Balance networks (e.g., soil amendments pre-insect shields).

  • Predictions: Climate warms amplify insect axis, forecasting 20–30% more collapses by 2035.

VI. Conclusion

This paper positions the Botanical Axis as TSTOEAO's arbor toolkit, evolving ecosystems from static to dynamic networks. This forecasts proactive interventions, urging field validations. Acknowledgments

xAI for network modeling. References

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