方法对比
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| 物种分布模型 (MaxEnt)× | 生态系统服务价值评估× | |
|---|---|---|
| 领域 | 可持续性 | 可持续性 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2004 | 1997 |
| 提出者≠ | Steven Phillips, Robert Anderson, Robert Schapire | Robert Costanza, Rudolf de Groot, and team |
| 类型≠ | Statistical learning algorithm | Valuation method |
| 开创性文献≠ | Phillips, 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 ↗ |
| 别名 | MaxEnt, SDM, Maximum Entropy Model | ESV, Natural capital accounting, Environmental valuation |
| 相关 | 3 | 3 |
| 摘要≠ | Species 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. |
| ScholarGate数据集 ↗ |
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