Elucidating ecological complexity: Unsupervised learning determines global marine eco-provinces

An unsupervised learning method is presented for determining global marine ecological provinces (eco-provinces) from plankton community structure and nutrient flux data. The systematic aggregated eco-province (SAGE) method identifies eco-provinces within a highly nonlinear ecosystem model. To accomm...

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Detalles Bibliográficos
Autores principales: Sonnewald, Maike, Dutkiewicz, Stephanie, Hill, Christopher, Forget, Gael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2020
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259926/
https://www.ncbi.nlm.nih.gov/pubmed/32523981
http://dx.doi.org/10.1126/sciadv.aay4740

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7259926/
https://www.ncbi.nlm.nih.gov/pubmed/32523981
http://dx.doi.org/10.1126/sciadv.aay4740

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