Salīdzināt metodes

	Circuitscape analīze	Pārtikas tīklu topoloģijas analīze	Nišas modelēšana
Nozare	Ekoloģija	Ekoloģija	Ekoloģija
Saime	Process / pipeline	Process / pipeline	Process / pipeline
Izcelsmes gads	2008	2000	1999
Autors	Brad McRae	Richard Williams and Neo Martinez	Steven Phillips and David Stockwell
Tips	movement and connectivity modeling	ecological network characterization	species distribution prediction
Pirmavots	Bradford, D. F., McCreary, D. D., & Groves, C. R. (2014). Optimizing sampling for large-area habitat assessment. Ecological Monographs, 84(3), 351-375.	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.	Phillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259.
Citi nosaukumi	circuit theory, resistance distance, connectivity analysis, landscape conductance	food web structure, network topology, trophic network, food chain analysis	species distribution modeling, habitat suitability modeling, ecological niche model, MaxEnt
Saistītās	4	4	4
Kopsavilkums	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.	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.	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.