השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| ניתוח Circuitscape× | ניתוח חוסן אוכלוסייתי× | |
|---|---|---|
| תחום | אקולוגיה | אקולוגיה |
| משפחה | Process / pipeline | Process / pipeline |
| שנת המקור≠ | 2008 | 1981 |
| הוגה השיטה≠ | Brad McRae | Mark Shaffer |
| סוג≠ | movement and connectivity modeling | extinction risk assessment |
| מקור מכונן≠ | 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 ↗ |
| כינויים | circuit theory, resistance distance, connectivity analysis, landscape conductance | PVA, extinction risk, minimum viable population, MVP |
| קשורות | 4 | 4 |
| תקציר≠ | 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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