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| Ανάλυση Circuitscape× | Ανάλυση Βιωσιμότητας Πληθυσμού× | |
|---|---|---|
| Πεδίο | Οικολογία | Οικολογία |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 2008 | 1981 |
| Δημιουργός≠ | Brad McRae | Mark Shaffer |
| Τύπος≠ | movement and connectivity modeling | extinction risk assessment |
| Θεμελιώδης πηγή≠ | 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 ↗ |
| Εναλλακτικές ονομασίες | circuit theory, resistance distance, connectivity analysis, landscape conductance | PVA, extinction risk, minimum viable population, MVP |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | 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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