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Моделирование ареалов видов (MaxEnt)×Оценка экосистемных услуг×
ОбластьУстойчивое развитиеУстойчивое развитие
СемействоProcess / pipelineProcess / pipeline
Год появления20041997
Автор методаSteven Phillips, Robert Anderson, Robert SchapireRobert Costanza, Rudolf de Groot, and team
ТипStatistical learning algorithmValuation method
Основополагающий источникPhillips, S. J., Anderson, R. P., & Schapire, R. E. (2006). Maximum entropy modelling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. DOI ↗Costanza, R., d'Arge, R., de Groot, R., Farberk, S., Grasso, M., Hannon, B., ... & van den Belt, M. (1997). The value of the world's ecosystem services and natural capital. Nature, 387(6630), 253-260. DOI ↗
Другие названияMaxEnt, SDM, Maximum Entropy ModelESV, Natural capital accounting, Environmental valuation
Связанные33
СводкаSpecies 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.Ecosystem Services Valuation (ESV) is a framework pioneered by Costanza and colleagues (1997) that assigns economic value to the benefits nature provides to humanity—from pollination and water purification to climate regulation and cultural enjoyment. Formalized in the Millennium Ecosystem Assessment (2005) and The Economics of Ecosystems and Biodiversity (TEEB 2010), ESV bridges ecology and economics to make the invisible value of ecosystems visible to policymakers and markets.
ScholarGateНабор данных
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  2. 3 Источники
  3. PUBLISHED
  1. v1
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ScholarGateСравнение методов: Species Distribution Models (MaxEnt) · Ecosystem Services Valuation. Получено 2026-06-18 из https://scholargate.app/ru/compare