Inferring causal relations from observational long-term carbon and water fluxes records

Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles: gross primary productivity, latent heat energy...

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Detalles Bibliográficos
Autores principales: Díaz, Emiliano, Adsuara, Jose E., Martínez, Álvaro Moreno, Piles, María, Camps-Valls, Gustau
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803890/
https://www.ncbi.nlm.nih.gov/pubmed/35102174
http://dx.doi.org/10.1038/s41598-022-05377-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8803890/
https://www.ncbi.nlm.nih.gov/pubmed/35102174
http://dx.doi.org/10.1038/s41598-022-05377-7

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