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Indikatora vērtības analīze×Pārtikas tīklu topoloģijas analīze×
NozareEkoloģijaEkoloģija
SaimeProcess / pipelineProcess / pipeline
Izcelsmes gads19972000
AutorsMarc Dufrene and Pierre LegendreRichard Williams and Neo Martinez
Tipsspecies-habitat association analysisecological network characterization
PirmavotsDufrene, M., & Legendre, P. (1997). Species assemblages and indicator species: the need for a flexible asymmetrical approach. Ecological Monographs, 67(3), 345-366. DOI ↗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 ↗
Citi nosaukumiIndVal, indicator species, fidelity, specificityfood web structure, network topology, trophic network, food chain analysis
Saistītās44
KopsavilkumsIndicator Value (IndVal) analysis, developed by Dufrene and Legendre (1997), identifies species that reliably indicate the presence of particular environmental conditions, habitat types, or community groups. The method quantifies the association between species and habitat, producing an indicator value that combines specificity (exclusive preference for certain habitats) and fidelity (consistent presence when the habitat occurs). IndVal is widely used in conservation to identify species of management concern, in habitat typing to discover indicator species, and in restoration ecology to assess whether recovered communities match reference conditions.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.
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ScholarGateSalīdzināt metodes: Indicator Value · Food Web Topology. Izgūts 2026-06-19 no https://scholargate.app/lv/compare