TLMM v5.9: Dynamic Population Viability Fields and Adaptive Structural Reconfiguration

TLMM v5.9 introduces an exploratory framework for adaptive population-scale viability modeling and structural reconfiguration. This work extends previous TLMM frameworks by integrating: • Dynamic Population Viability Fields (PVFs)• Coupling–Synchronization–Viability regime mapping• Adaptive Global Viability Index (GVI) weight estimation• Macro-uncertainty adaptive feedback control• Topology-driven node weighting• Population Topology Stability Index (PTSI)• Synthetic perturbation validation• Patch-trigger condition mechanisms• A conceptual bridge toward anticipatory and regenerative viability systems (v6.0) The framework combines topology-aware monitoring, uncertainty-aware adaptive control, and synthetic perturbation experiments to explore how population-level viability structures may evolve, degrade, recover, and adapt under complex conditions. Key conceptual contributions include:- Formalization of Population Viability Fields as topology-aware viability manifolds- Separation of structural robustness (PTSI) and expected viability (GVI)- Adaptive weighting and topology-sensitive intervention strategies- Composite patch-trigger mechanisms with hysteresis and cooldown dynamics- Exploratory synthetic validation under controlled perturbation scenarios All figures, simulations, and examples are illustrative and synthetic.This work is exploratory and conceptual, and does not constitute a clinical, operational, or policy-ready system. Files included:- Main PDF manuscript- Figure set (Fig.1–Fig.10)- Minimal synthetic demonstration Python script- README documentation Author:Koji OkinoORCID: 0009-0003-9273-9813SD Lab2026