Using machine learning on tree‐ring data to determine the geographical provenance of historical construction timbers

Using machine learning on tree‐ring data to determine the geographical provenance of historical construction timbers

Abstract Dendroclimatology offers the unique opportunity to reconstruct past climate at annual resolution and wood from historical buildings can be used to extend such information back in time up to several millennia. However, the varying and often unclear origin of timbers affects the climate sensi...

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Bibliographic Details
Main Authors: Eileen Kuhl, Christian Zang, Jan Esper, Dana F. C. Riechelmann, Ulf Büntgen, Martin Briesch, Frederick Reinig, Philipp Römer, Oliver Konter, Martin Schmidhalter, Claudia Hartl
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:Ecosphere
Subjects:
artificial intelligence
dendrochronology
dendroprovenancing
European Alps
Extreme Gradient Boosting
Larix decidua
Online Access:https://doi.org/10.1002/ecs2.4453

Internet

https://doi.org/10.1002/ecs2.4453

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