Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine learning with the 3-PG model

Improving spatial predictions of Eucalypt plantation growth by combining interpretable machine learning with the 3-PG model

Accurate predictions of forest plantation growth provide forest managers with improved forest inventory estimates, forest valuation, and timely harvest schedules. Forest process-based models are increasingly used for quantifying current and potential productivity, yield gaps, and factors limiting gr...

Full description

Bibliographic Details
Main Authors: Peter Taylor, Auro C. Almeida, Ernst Kemmerer, Rafael Olivares de Salles Abreu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Forests and Global Change
Subjects:
interpretable machine learning
forestry modeling
3-PG model
Eucalyptus nitens
soil fertility rating
plantation growth and yield
Online Access:https://www.frontiersin.org/articles/10.3389/ffgc.2023.1181049/full

Internet

https://www.frontiersin.org/articles/10.3389/ffgc.2023.1181049/full

Similar Items