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| Метаболическая теория экологии× | Матрица Лесли× | |
|---|---|---|
| Область | Экология | Экология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2004 | 1945 |
| Автор метода≠ | James Brown | Patrick Leslie |
| Тип≠ | metabolic scaling theory | structured population dynamics |
| Основополагающий источник≠ | Brown, 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 ↗ |
| Другие названия | MTE, metabolic scaling, temperature-size rule, energy allocation | Leslie model, age-structured population model, matrix population model, population dynamics |
| Связанные | 4 | 4 |
| Сводка≠ | The 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. |
| ScholarGateНабор данных ↗ |
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