Editorial: Applications of Machine Learning to Evolutionary Ecology Data

Juliano Morimoto*, Aurore Ponchon, Georgy Sofronov, Justin Travis

*Corresponding author for this work

Research output: Contribution to journalEditorialpeer-review


Machine Learning (ML) has become an increasingly popular tool in a large variety of fields due to an explosion of ways in which large-scale datasets are collected. ML has been used both as the means through which large data is generated (e.g., image recognition and classification) as well as the tools through which information and knowledge are acquired from large data through complex processing of high-dimensional data (James et al., 2013; Kroese et al., 2019).
Original languageEnglish
Article number797319
JournalFrontiers in Ecology and Evolution
Publication statusPublished - 30 Nov 2021

Bibliographical note

Funding Information:
We acknowledge the authors that kindly supported our initiative and shared their work in this Research Topic.


  • artificial intelligence
  • ecological theories
  • innovation
  • machine learning
  • niche adaptation


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