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| Circuitscape 分析× | 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≠ | 2008 | 1981 |
| 提出者≠ | Brad McRae | Mark Shaffer |
| 类型≠ | movement and connectivity modeling | extinction risk assessment |
| 开创性文献≠ | Bradford, D. F., McCreary, D. D., & Groves, C. R. (2014). Optimizing sampling for large-area habitat assessment. Ecological Monographs, 84(3), 351-375. link ↗ | Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134. DOI ↗ |
| 别名 | circuit theory, resistance distance, connectivity analysis, landscape conductance | PVA, extinction risk, minimum viable population, MVP |
| 相关 | 4 | 4 |
| 摘要≠ | Circuitscape, developed by Brad McRae (2008), applies circuit theory from electrical engineering to predict organism movement and genetic connectivity across landscapes. The method treats landscapes as electrical networks where habitat quality is resistance and organism movement is electrical current. By analogy, organisms diffusing through a landscape follow paths determined by landscape resistance: corridors of low resistance (good habitat) are preferentially used. Circuitscape predicts movement probabilities, identifies critical corridors, and quantifies connectivity between habitat patches. | 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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