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مدل‌های توزیع گونه‌ها (MaxEnt)×ارزیابی پایداری چرخه عمر×
حوزهپایداریپایداری
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش20042008
پدیدآورSteven Phillips, Robert Anderson, Robert SchapireMatthias Finkbeiner
نوعStatistical learning algorithmIntegrated assessment pipeline
منبع بنیادینPhillips, 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 ↗
نام‌های دیگرMaxEnt, SDM, Maximum Entropy ModelLCSA
مرتبط33
خلاصهSpecies 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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  3. PUBLISHED

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ScholarGateمقایسهٔ روش‌ها: Species Distribution Models (MaxEnt) · Life Cycle Sustainability Assessment. بازیابی‌شده در 2026-06-19 از https://scholargate.app/fa/compare