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| Модел за смесване SIAR× | Матрица на Лесли× | |
|---|---|---|
| Област | Екология | Екология |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 2010 | 1945 |
| Създател≠ | Andrew Parnell | Patrick Leslie |
| Тип≠ | diet and source apportionment analysis | structured population dynamics |
| Основополагащ източник≠ | Parnell, A. C., Inger, R., Bearhop, S., & Jackson, A. L. (2010). Source partitioning using stable isotopes: coping with too much variation. PLoS ONE, 5(3), e9672. DOI ↗ | Leslie, P. H. (1945). On the use of matrices in certain population mathematics. Biometrika, 33(3), 183-212. DOI ↗ |
| Други названия | isotope mixing model, Bayesian mixing model, source apportionment, diet analysis | Leslie model, age-structured population model, matrix population model, population dynamics |
| Свързани | 4 | 4 |
| Резюме≠ | The Stable Isotope Analysis in R (SIAR) mixing model is a Bayesian framework for estimating the proportional contributions of dietary sources to a consumer, using stable isotope ratios. Developed by Parnell and colleagues (2010) and implemented in the R package siar (and its successor MixSIAR), this method integrates isotopic data from potential food sources and consumers to infer diets. It accounts for uncertainty in isotope fractionation (the shift in isotope ratios between diet and tissue) and natural variation among source populations, producing probability distributions rather than point estimates of diet composition. | 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 от данни ↗ |
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