Universal Life Competency-Ability-Efficiency-Skill-Expertness (Life-CAES) Framework and Equation
Abstract
Living systems demonstrate substantial variability in growth, reproduction, productivity, resilience, andsurvival, even when exposed to broadly similar environmental resource inputs. Classical biologicalmodels attribute such variability to domain-specific mechanisms—such as metabolic rate, nutrientuptake efficiency, genetic potential, and hormonal regulation—but no existing framework quantitativelyintegrates these mechanisms into a unified cross-kingdom performance model. This study introducesthe Universal Life Competency–Ability–Efficiency–Skill–Expertness (Life-CAES) framework as a systems-biology formulation that explains biological performance as the coupled outcome of resourceacquisition and biochemical conversion efficiency. Grounded in mass conservation principles, rate-limited physiological processes, biochemical competency, and absorption capacity, the Life-CAESequation defines performance as a function of organismal mass, uptake velocity, absorption capacity,internal conversion efficiency, and time-dependent mass assimilation. The framework is biologicallyconservative and dimensionally interpretable, and it provides an empirically testable basis for cross-species comparison of growth and productivity. The model is applicable to plants, animals, humans, fish,insects, microorganisms, and other living systems, offering a unifying conceptual and mathematical toolfor interpreting why organisms with similar external inputs can exhibit remarkably different biologicaloutcomes. As such, the Life-CAES framework presents a novel step toward predictive, integrative, andcomparable biological performance modeling across diverse life forms...... Please check the attachment for details
Fields of Study & Subjects
Physiological and biochemical adaptations
Sustainability and Ecological Systems Analysis
Ecology and Vegetation Dynamics Studies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026