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Analiza Circuitscape×Analiza topologii sieci pokarmowych×
DziedzinaEkologiaEkologia
RodzinaProcess / pipelineProcess / pipeline
Rok powstania20082000
TwórcaBrad McRaeRichard Williams and Neo Martinez
Typmovement and connectivity modelingecological network characterization
Źródło pierwotneBradford, D. F., McCreary, D. D., & Groves, C. R. (2014). Optimizing sampling for large-area habitat assessment. Ecological Monographs, 84(3), 351-375. link ↗Dunne, J. A., Williams, R. J., & Martinez, N. D. (2002). Network structure and robustness of marine food webs. The American Naturalist, 160(1), 117-129. link ↗
Inne nazwycircuit theory, resistance distance, connectivity analysis, landscape conductancefood web structure, network topology, trophic network, food chain analysis
Pokrewne44
PodsumowanieCircuitscape, 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.Food web topology analysis characterizes the structure of predator-prey interactions within ecological communities using network metrics. Pioneered by Williams and Martinez (2000) and extended by Dunne and colleagues (2002), this approach maps which species eat which and quantifies network properties (connectivity, clustering, robustness). Understanding food web structure reveals how ecosystems are organized, how stable they are to species loss, and what roles different species play in ecosystem function.
ScholarGateZbiór danych
  1. v1
  2. 3 Źródła
  3. PUBLISHED
  1. v1
  2. 3 Źródła
  3. PUBLISHED

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ScholarGatePorównaj metody: Circuitscape · Food Web Topology. Pobrano 2026-06-19 z https://scholargate.app/pl/compare