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Macierz Lesliego×Model mieszania SIAR×
DziedzinaEkologiaEkologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstania19452010
TwórcaPatrick LeslieAndrew Parnell
Typstructured population dynamicsdiet and source apportionment analysis
Źródło pierwotneLeslie, 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 ↗
Inne nazwyLeslie model, age-structured population model, matrix population model, population dynamicsisotope mixing model, Bayesian mixing model, source apportionment, diet analysis
Pokrewne44
PodsumowanieThe 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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ScholarGatePorównaj metody: Leslie Matrix · SIAR Mixing Model. Pobrano 2026-06-18 z https://scholargate.app/pl/compare