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| Teori Metabolisme Ekologi× | Model Proyeksi Integral× | |
|---|---|---|
| Bidang | Ekologi | Ekologi |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | 2004 | 2000 |
| Pencetus≠ | James Brown | Stephen Ellner and Mark Rees |
| Tipe≠ | metabolic scaling theory | size-structured population projection |
| Sumber perintis≠ | 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 ↗ | Easterling, M. R., Ellner, S. P., & Dixon, P. M. (2000). Size-specific sensitivity: applying a new structured population model. Ecology, 81(3), 694-708. DOI ↗ |
| Alias | MTE, metabolic scaling, temperature-size rule, energy allocation | IPM, continuous size structure, kernel model, size-structured population |
| Terkait | 4 | 4 |
| Ringkasan≠ | 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. | Integral projection models (IPMs) are a class of structured population models that use continuous traits (size, age, height) to describe population dynamics. Introduced by Easterling and colleagues (2000) and developed extensively by Ellner, Rees, and collaborators, IPMs overcome limitations of age- or stage-structured models by treating individual traits as continuous. They use integration to project populations forward in time, making them particularly suitable for organisms with continuous size distributions or flexible developmental pathways. IPMs enable estimation of population growth rate (λ), sensitivity analysis, and projection under changing environmental conditions. |
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