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Analisis Nilai Penunjuk×Analisis Topologi Jaring Makanan×
BidangEkologiEkologi
KeluargaProcess / pipelineProcess / pipeline
Tahun asal19972000
PengasasMarc Dufrene and Pierre LegendreRichard Williams and Neo Martinez
Jenisspecies-habitat association analysisecological network characterization
Sumber perintisDufrene, 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 ↗
AliasIndVal, indicator species, fidelity, specificityfood web structure, network topology, trophic network, food chain analysis
Berkaitan44
RingkasanIndicator 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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ScholarGateBandingkan kaedah: Indicator Value · Food Web Topology. Dicapai 2026-06-18 daripada https://scholargate.app/ms/compare