Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Эксперимент по оценке влияния факторов жизненного цикла на динамику популяции× | Интегральная проекционная модель× | |
|---|---|---|
| Область | Экология | Экология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления | 2000 | 2000 |
| Автор метода≠ | Hal Caswell | Stephen Ellner and Mark Rees |
| Тип≠ | temporal perturbation analysis | size-structured population projection |
| Основополагающий источник≠ | Caswell, H. (2019). Sensitivity Analysis: Matrix Methods in Demography and Ecology. Springer. 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 ↗ |
| Другие названия | LTRE, demographic analysis, vital rate contribution, elasticity analysis | IPM, continuous size structure, kernel model, size-structured population |
| Связанные | 4 | 4 |
| Сводка≠ | Life Table Response Experiments (LTRE) decompose observed temporal changes in population growth rate (lambda) into contributions from changes in specific vital rates (survival, reproduction). Developed by Caswell (2000) and applied extensively by Wisdom and colleagues, LTRE reveals which demographic changes drove observed population dynamics. For example, LTRE can show whether a population's decline was primarily due to reduced survival of juveniles, reduced fecundity of adults, or changes in other life stages. This guides targeted conservation or management. | 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. |
| ScholarGateНабор данных ↗ |
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