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

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

Abstract 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 o...

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Bibliographic Details
Main Authors: Sugam Aryal, Jussi Grießinger, Nita Dyola, Narayan Prasad Gaire, Tribikram Bhattarai, Achim Bräuning
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Ecology and Evolution
Subjects:
dendrometer
growing‐season change
intra‐annual growth
machine learning algorithm
Pinus roxburghii
sub‐tropical Nepal
Online Access:https://doi.org/10.1002/ece3.10626

Internet

https://doi.org/10.1002/ece3.10626

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