Nonlinear Seasonal Synchronization via Phase Compression Dynamics: A Conceptual Framework for Biological Timing
Conceptual visualization of seasonal phase compression dynamics showing layered environmental and biological fields transitioning from a compressed latent state to synchronized activation.
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Keywords

Seasonal phase compression–jump (SPCJ)
Phase compression
Latent phase potential
Nonlinear dynamics
Biological timing
Seasonal synchronization
Phenological mismatch

Abstract

Seasonal transitions in biological systems are commonly described as linear metabolic responses to environmental cues such as temperature and resource availability. However, such approaches struggle to account for cross-species synchrony, abrupt phenological shifts, and the widespread breakdown of seasonal timing under contemporary ecological disruption.

Here, we propose a conceptual framework—Seasonal Phase Compression–Jump (SPCJ) dynamics—that reconceptualizes winter not as metabolic dormancy but as a structured compression phase in which organisms accumulate latent internal potential. This compression state is characterized by coordinated physiological reorganizations, including shifts in gas composition, pH gradients, microbial–mitochondrial energy partitioning, and modulation of neural conductivity.

Within this framework, spring emergence arises as a nonlinear transition triggered when accumulated latent phase potential exceeds a critical threshold, resulting in rapid activation, growth, and synchronization. This mechanism provides a unifying interpretation of hibernation, delayed implantation, overwintering strategies, and seasonal desynchronization across diverse taxa.

The SPCJ framework integrates concepts from nonlinear dynamics into seasonal biology and offers a generalized theoretical basis for biological timing. By formalizing seasonal transitions as phase-driven processes rather than gradual metabolic recovery, this work establishes a foundation for future empirical investigation and computational modeling of biological seasonality.

This framework is intended as a conceptual and hypothesis-generating model rather than a direct empirical claim.

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Copyright (c) 2026 Doha Lee (Author)