Neural Network Analysis to Evaluate Ozone Damage to Vegetation Under Different Climatic Conditions

Neural Network Analysis to Evaluate Ozone Damage to Vegetation Under Different Climatic Conditions

Tropospheric ozone (O3) is probably the air pollutant most damaging to vegetation. Understanding how plants respond to O3 pollution under different climate conditions is of central importance for predicting the interactions between climate change, ozone impact and vegetation. This work analyses the...

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Bibliographic Details
Main Authors: Flavia Savi, Eiko Nemitz, Mhairi Coyle, Matt Aitkenhead, Kfa Frumau, Giacomo Gerosa, Angelo Finco, Carten Gruening, Ignacio Goded, Benjamin Loubet, Patrick Stella, Taaina Ruuskanen, T. Weidinger, L. Horvath, Terenzio Zenone, Silvano Fares
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-04-01
Series:Frontiers in Forests and Global Change
Subjects:
net ecosystem exchange
european forest
stomatal deposition
tropospheric ozone
artificial neural networks
climate change
Online Access:https://www.frontiersin.org/article/10.3389/ffgc.2020.00042/full

Internet

https://www.frontiersin.org/article/10.3389/ffgc.2020.00042/full

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