Multiple thresholds and trajectories of microbial biodiversity predicted across browning gradients by neural networks and decision tree learning

Ecological association studies often assume monotonicity such as between biodiversity and environmental properties although there is growing evidence that nonmonotonic relations dominate in nature. Here, we apply machine-learning algorithms to reveal the nonmonotonic association between microbial di...

Descripción completa

Detalles Bibliográficos
Autores principales: Fontaine, Laurent, Khomich, Maryia, Andersen, Tom, Hessen, Dag O., Rasconi, Serena, Davey, Marie L., Eiler, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723588/
https://www.ncbi.nlm.nih.gov/pubmed/37938633
http://dx.doi.org/10.1038/s43705-021-00038-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9723588/
https://www.ncbi.nlm.nih.gov/pubmed/37938633
http://dx.doi.org/10.1038/s43705-021-00038-8

Ejemplares similares