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| SIAR混合模型× | 种群生存力分析× | |
|---|---|---|
| 领域 | 生态学 | 生态学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2010 | 1981 |
| 提出者≠ | Andrew Parnell | Mark Shaffer |
| 类型≠ | diet and source apportionment analysis | extinction risk assessment |
| 开创性文献≠ | 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 ↗ | Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134. DOI ↗ |
| 别名 | isotope mixing model, Bayesian mixing model, source apportionment, diet analysis | PVA, extinction risk, minimum viable population, MVP |
| 相关 | 4 | 4 |
| 摘要≠ | 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. | Population Viability Analysis (PVA), introduced by Shaffer (1981), estimates the probability that a population will persist over a given time period under specified conditions. PVA combines demographic models (Leslie matrices, IPMs) with stochastic simulation to project population trajectories, quantifying extinction risk. This allows conservation planners to assess whether a population will likely persist, evaluate management scenarios, and estimate the minimum viable population (MVP) size for long-term persistence. PVA is a decision-support tool, not a precise predictor. |
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