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Artfordelingsmodeller (MaxEnt)×Livssyklusvurdering av bærekraft×
FagfeltBærekraftBærekraft
FamilieProcess / pipelineProcess / pipeline
Opprinnelsesår20042008
OpphavspersonSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
TypeStatistical learning algorithmIntegrated assessment pipeline
Opprinnelig kildePhillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗Finkbeiner, M., Schau, E. M., Lehmann, A., & Traverso, M. (2010). Towards Life Cycle Sustainability Assessment. Sustainability, 2(10), 3309-3322. DOI ↗
AliasMaxEnt, SDM, Maximum Entropy ModelLCSA
Relaterte33
SammendragSpecies Distribution Models (SDMs) using Maximum Entropy (MaxEnt) are statistical methods developed by Phillips, Anderson, and Schapire (2004) to predict where species are likely to occur based on known occurrence points and environmental variables. MaxEnt has become one of the most widely used algorithms in conservation biology and biogeography for mapping suitable habitat and assessing climate change impacts.Life Cycle Sustainability Assessment (LCSA) is a comprehensive framework developed by Matthias Finkbeiner and colleagues to evaluate environmental, social, and economic impacts of products and services throughout their entire life cycle. Introduced around 2008, it extends traditional life cycle assessment to address sustainability holistically.
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ScholarGateSammenlign metoder: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. Hentet 2026-06-20 fra https://scholargate.app/no/compare