Universal Life Competency- Ability Framework and Equation: A Conceptual Systems-Biology Model
Abstract
Living organisms across biological taxa—including humans, animals, birds, fish, insects, plants,and microorganisms—can be conceptualized as open thermodynamic systems that sustaininternal order through continuous exchange of matter and energy with their environments. Whileextensive work in physiology, ecology, and systems biology has investigated metabolic scaling,resource assimilation, and energy budgets, few integrative frameworks exist for synthesizingabsorption processes, physiological losses, organismal mass, and biochemical competency into aunified comparative model that applies across taxa.This paper presents the Universal Life Competency–Ability Framework, a conceptual systems-biology model that formalizes biological performance as the product of three core determinants:organism mass (M), net resource uptake rate (AE − TE), and a composite competency coefficient(CE) capturing biochemical and physiological efficiency. The resulting index 𝐶 = 𝑀 × (𝐴𝐸 −𝑇𝐸) × 𝐶𝐸is not proposed as a physical law but as a scalable, mass-balance-based metric thatenables comparative interpretation of biological performance across life forms.The Introduction reviews existing biological models related to mass-energy balance, metabolicscaling, ecological energetics, and plant–animal physiology, highlighting the conceptual gapaddressed by this framework. The Methods section derives the model using establishedthermodynamic and physiological principles and defines all parameters. Results demonstratehow the model applies across major taxa through conceptual scenarios rather than numericalpredictions. The Discussion interprets biological implications, examines alignment with existingtheories, and identifies limitations and future research directions.Findings suggest that organisms experiencing positive net uptake (AE > TE) and highcompetency (CE) exhibit greater biological performance and resilience, while those in nutrientdeficiency, disease, or stress states exhibit reduced net uptake and diminished competency.Importantly, the framework aligns with empirical observations in plant physiology(photosynthesis–respiration balance), animal nutrition (intake–expenditure models), andecological energetics (net primary productivity and trophic transfer).This systems-level model offers a unifying conceptual lens for interpreting cross-taxonomicvariation in growth, vitality, and function without overclaiming precision or universality.It complements existing detailed models by emphasizing emergent principles shared across livingorganisms. Future work may formalize empirical estimation of CE, integrate species-specificscaling exponents, and explore applications in agriculture, environmental physiology,conservation biology, and bioengineering.... Please check the attachment for details
Fields of Study & Subjects
Physiological and biochemical adaptations
Sustainability and Ecological Systems Analysis
thermodynamics and calorimetric analyses
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 14 January 2026