Interpreting random forest analysis of ecological models to move from prediction to explanation

As modeling tools and approaches become more advanced, ecological models are becoming more complex. Traditional sensitivity analyses can struggle to identify the nonlinearities and interactions emergent from such complexity, especially across broad swaths of parameter space. This limits understandin...

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Detalles Bibliográficos
Autores principales: Simon, Sophia M., Glaum, Paul, Valdovinos, Fernanda S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995331/
https://www.ncbi.nlm.nih.gov/pubmed/36890140
http://dx.doi.org/10.1038/s41598-023-30313-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995331/
https://www.ncbi.nlm.nih.gov/pubmed/36890140
http://dx.doi.org/10.1038/s41598-023-30313-8

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