INTRAGRO: A machine learning approach to predict future growth of trees under climate change

The escalating impact of climate change on global terrestrial ecosystems demands a robust prediction of the trees' growth patterns and physiological adaptation for sustainable forestry and successful conservation efforts. Understanding these dynamics at an intra‐annual resolution can offer deep...

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Detalles Bibliográficos
Autores principales: Aryal, Sugam, Grießinger, Jussi, Dyola, Nita, Gaire, Narayan Prasad, Bhattarai, Tribikram, Bräuning, Achim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587741/
https://www.ncbi.nlm.nih.gov/pubmed/37869443
http://dx.doi.org/10.1002/ece3.10626

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587741/
https://www.ncbi.nlm.nih.gov/pubmed/37869443
http://dx.doi.org/10.1002/ece3.10626

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