Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Matriks Leslie× | Mfumo wa uchanganyaji wa SIAR (Stable Isotope Analysis in R)× | |
|---|---|---|
| Nyanja | Ikolojia | Ikolojia |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1945 | 2010 |
| Mwanzilishi≠ | Patrick Leslie | Andrew Parnell |
| Aina≠ | structured population dynamics | diet and source apportionment analysis |
| Chanzo asilia≠ | Leslie, P. H. (1945). On the use of matrices in certain population mathematics. Biometrika, 33(3), 183-212. DOI ↗ | 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 ↗ |
| Majina mbadala | Leslie model, age-structured population model, matrix population model, population dynamics | isotope mixing model, Bayesian mixing model, source apportionment, diet analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | 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. | 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. |
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