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	Analiza Circuitscape	Analiza Wykonalności Populacji
Dziedzina	Ekologia	Ekologia
Rodzina	Process / pipeline	Process / pipeline
Rok powstania	2008	1981
Twórca	Brad McRae	Mark Shaffer
Typ	movement and connectivity modeling	extinction risk assessment
Źródło pierwotne	Bradford, D. F., McCreary, D. D., & Groves, C. R. (2014). Optimizing sampling for large-area habitat assessment. Ecological Monographs, 84(3), 351-375.	Shaffer, M. L. (1981). Minimum population sizes for species conservation. BioScience, 31(2), 131-134.
Inne nazwy	circuit theory, resistance distance, connectivity analysis, landscape conductance	PVA, extinction risk, minimum viable population, MVP
Pokrewne	4	4
Podsumowanie	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.