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Circuitscape分析×ニッチモデリング×
分野生態学生態学
系統Process / pipelineProcess / pipeline
提唱年20081999
提唱者Brad McRaeSteven Phillips and David Stockwell
種類movement and connectivity modelingspecies distribution prediction
原典Bradford, D. F., McCreary, D. D., & Groves, C. R. (2014). Optimizing sampling for large-area habitat assessment. Ecological Monographs, 84(3), 351-375. link ↗Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗
別名circuit theory, resistance distance, connectivity analysis, landscape conductancespecies distribution modeling, habitat suitability modeling, ecological niche model, MaxEnt
関連44
概要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.Niche modeling, also called species distribution modeling (SDM), predicts the geographic range and habitat suitability of species using presence-only or presence-background occurrence data and environmental variables. MaxEnt (Maximum Entropy, Phillips et al. 2006) and GARP (Genetic Algorithm for Rule-set Prediction, Stockwell & Peters 1999) are two prominent algorithms. These methods identify the environmental conditions under which species are likely to occur, enabling prediction of distribution beyond sampled areas and assessment of habitat suitability across landscapes.
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ScholarGate手法を比較: Circuitscape · Niche Modeling. 2026-06-18に以下より取得 https://scholargate.app/ja/compare