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Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Modelos de Distribuição de Espécies (MaxEnt)×Avaliação da Sustentabilidade do Ciclo de Vida×
ÁreaSustentabilidadeSustentabilidade
FamíliaProcess / pipelineProcess / pipeline
Ano de origem20042008
Autor originalSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
TipoStatistical learning algorithmIntegrated assessment pipeline
Fonte seminalPhillips, 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 ↗
Outros nomesMaxEnt, SDM, Maximum Entropy ModelLCSA
Relacionados33
ResumoSpecies 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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ScholarGateComparar métodos: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. Recuperado em 2026-06-20 de https://scholargate.app/pt/compare