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Circuitscape 분석×종 분포 모델링(Niche Modeling)×
분야생태학생태학
계열Process / pipelineProcess / pipeline
기원 연도20081999
창시자Brad McRaeSteven Phillips and David Stockwell
유형movement and connectivity modelingspecies distribution prediction
원전Bradford, 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 ↗
별칭circuit theory, resistance distance, connectivity analysis, landscape conductancespecies distribution modeling, habitat suitability modeling, ecological niche model, MaxEnt
관련44
요약Circuitscape, 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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ScholarGate방법 비교: Circuitscape · Niche Modeling. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare