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Анализ Circuitscape×Анализ жизнеспособности популяций×
ОбластьЭкологияЭкология
СемействоProcess / pipelineProcess / pipeline
Год появления20081981
Автор методаBrad McRaeMark Shaffer
Типmovement and connectivity modelingextinction risk assessment
Основополагающий источникBradford, 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 ↗
Другие названияcircuit theory, resistance distance, connectivity analysis, landscape conductancePVA, extinction risk, minimum viable population, MVP
Связанные44
СводкаCircuitscape, 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.
ScholarGateНабор данных
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  2. 3 Источники
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ScholarGateСравнение методов: Circuitscape · Population Viability Analysis. Получено 2026-06-17 из https://scholargate.app/ru/compare