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Metabolisk Teori om Økologi×Leslie-matricen×
FagområdeØkologiØkologi
FamilieProcess / pipelineProcess / pipeline
Oprindelsesår20041945
OphavspersonJames BrownPatrick Leslie
Typemetabolic scaling theorystructured population dynamics
Oprindelig kildeBrown, J. H., Gillooly, J. F., Allen, A. P., Savage, V. M., & West, G. B. (2004). Toward a metabolic basis of ecology. Ecology, 85(7), 1771-1789. DOI ↗Leslie, P. H. (1945). On the use of matrices in certain population mathematics. Biometrika, 33(3), 183-212. DOI ↗
AliasserMTE, metabolic scaling, temperature-size rule, energy allocationLeslie model, age-structured population model, matrix population model, population dynamics
Relaterede44
ResuméThe Metabolic Theory of Ecology (MTE), developed by Brown and colleagues (2004), provides a unifying framework linking individual metabolic rate to ecological patterns across levels of organization (organisms, populations, ecosystems). MTE predicts how metabolic rate scales with body size (allometry) and temperature, and uses these scaling relationships to explain patterns in life history, population growth, community structure, and ecosystem dynamics. The theory is grounded in physics: metabolic rate is constrained by supply of resources (energy and nutrients) and demand determined by biochemical kinetics.The Leslie matrix is a deterministic model of age-structured population dynamics, introduced by Patrick Leslie (1945). It projects population size and structure forward in time using age-specific fertility and survival rates. A Leslie matrix encodes these vital rates in a square matrix; multiplying the matrix by a population vector yields the population's composition at the next time step. This approach enables calculation of the population's asymptotic growth rate (λ), identification of stable age structure, and sensitivity analysis—understanding which vital rates most strongly influence population growth.
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ScholarGateSammenlign metoder: Metabolic Theory of Ecology · Leslie Matrix. Hentet 2026-06-20 fra https://scholargate.app/da/compare