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通过无监督方法估计物种的常见性和流行率

Pasquale Bove1, Andrea Bertini2, Gianpaolo Coro3

  • 1Istituto di Geoscienze e Georisorse, Consiglio Nazionale delle Ricerche, 56124, Pisa, Italy.

Scientific reports
|February 11, 2026
PubMed
概括

本研究引入了一种无监督的数据驱动方法,用于估计生态利基模型 (ENM) 的物种流行率. 该方法准确地分类了物种的常见性,提高了ENM对生物多样性研究的可靠性.

关键词:
人工智能的人工智能是人工智能.深度学习是一种深度学习.种类的共同性.种类的流行率 种类的流行率湿地 湿地 湿地

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