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Ανάλυση Circuitscape×Ανάλυση Βιωσιμότητας Πληθυσμού×
ΠεδίοΟικολογίαΟικολογία
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης20081981
ΔημιουργόςBrad McRaeMark Shaffer
Τύποςmovement and connectivity modelingextinction risk assessment
Θεμελιώδης πηγήBradford, 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 ονομασίεςcircuit theory, resistance distance, connectivity analysis, landscape conductancePVA, extinction risk, minimum viable population, MVP
Συναφείς44
ΣύνοψηCircuitscape, 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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ScholarGateΣύγκριση μεθόδων: Circuitscape · Population Viability Analysis. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare